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Outputs (180)

Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization (2024)
Journal Article
Zeng, L., Liu, Q., Shen, S., & Liu, X. (2024). Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization. Tsinghua Science and Technology, 29(3), 806 - 817. https://doi.org/10.26599/TST.2023.9010058

Edge computing nodes undertake more and more tasks as business density grows. How to efficiently allocate large-scale and dynamic workloads to edge computing resources has become a critical challenge. An edge task scheduling approach based on an impr... Read More about Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization.

A spatio-temporal graph convolutional approach to real-time load forecasting in an edge-enabled distributed Internet of Smart Grids energy system (2024)
Journal Article
Liu, Q., Pan, L., Cao, X., Gan, J., Huang, X., & Liu, X. (in press). A spatio-temporal graph convolutional approach to real-time load forecasting in an edge-enabled distributed Internet of Smart Grids energy system. Concurrency and Computation: Practice and Experience, Article e8060. https://doi.org/10.1002/cpe.8060

As the edge nodes of the Internet of Smart Grids (IoSG), smart sockets enable all kinds of power load data to be analyzed at the edge, which create conditions for edge calculation and real-time (RT) load forecasting. In this article, an edge-cloud co... Read More about A spatio-temporal graph convolutional approach to real-time load forecasting in an edge-enabled distributed Internet of Smart Grids energy system.

An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment (2024)
Journal Article
Liu, Q., Jin, Y., Cao, X., Liu, X., Zhou, X., Zhang, Y., …Qi, L. (in press). An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment. IEEE Transactions on Computational Social Systems, https://doi.org/10.1109/TCSS.2023.3342873

Fake news is a prevalent issue in modern society, leading to misinformation and societal harm. News credibility assessment is a crucial approach for evaluating the accuracy and authenticity of news. It plays a significant role in enhancing public awa... Read More about An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment.

DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing (2024)
Journal Article
Liu, Q., Sun, J., Zhang, Y., & Liu, X. (2024). DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing. Journal of cloud computing: advances, systems and applications, 13, Article 32. https://doi.org/10.1186/s13677-024-00607-x

In the field of meteorology, the global radar network is indispensable for detecting weather phenomena and offering early warning services. Nevertheless, radar data frequently exhibit anomalies, including gaps and clutter, arising from atmospheric re... Read More about DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing.

Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques (2023)
Conference Proceeding
Gomez, L. R., Watt, T., Babaagba, K. O., Chrysoulas, C., Homay, A., Rangarajan, R., & Liu, X. (2023). Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques. In ICISS '23: Proceedings of the 2023 6th International Conference on Information Science and Systems (113-118). https://doi.org/10.1145/3625156.3625173

In recent years, text has been the main form of communication on social media platforms such as Twitter, Reddit, Facebook, Instagram and YouTube. Emotion Recognition from these platforms can be exploited for all sorts of applications. Through the mea... Read More about Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques.

Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges (2023)
Journal Article
Liu, Q., Yang, Z., Ji, R., Zhang, Y., Bilal, M., Liu, X., …Xu, X. (2023). Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges. IEEE Systems, Man, and Cybernetics Magazine, 9(4), 4-12. https://doi.org/10.1109/msmc.2022.3216943

Radars are widely used to obtain echo information for effective prediction, such as precipitation nowcasting. In this article, recent relevant scientific investigation and practical efforts using deep learning (DL) models for weather radar data analy... Read More about Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges.

DenMerD: A Feature Propagation Enhanced Approach to Beam Blockage Correction in Weather Radar (2023)
Journal Article
Liu, Q., Sun, J., & Liu, X. (in press). DenMerD: A Feature Propagation Enhanced Approach to Beam Blockage Correction in Weather Radar. Journal on Artificial Intelligence,

In the realm of meteorological research, extensive global radar networks serve to detect and provide early warnings for a diverse array of weather phenomena. However, the inherently discontinuous nature of radar observations often results in the pres... Read More about DenMerD: A Feature Propagation Enhanced Approach to Beam Blockage Correction in Weather Radar.

Towards Improving Accessibility of Web Auditing with Google Lighthouse (2023)
Conference Proceeding
McGill, T., Bamgboye, O., Liu, X., & Kalutharage, C. S. (2023). Towards Improving Accessibility of Web Auditing with Google Lighthouse. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, A. Jahangir Alam Majumder, …S. Iqbal Ahamed (Eds.), 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) (1594-1599). https://doi.org/10.1109/COMPSAC57700.2023.00246

Google Lighthouse is a tool made by Google for auditing web pages performance, accessibility, SEO, and best practices with the intention of improving the quality of the websites. This allows software developers to understand areas of improvement with... Read More about Towards Improving Accessibility of Web Auditing with Google Lighthouse.

A cloud-based Bi-directional LSTM approach to grid-connected solar PV energy forecasting for multi-energy systems (2023)
Journal Article
Liu, Q., Darteh, O. F., Bilal, M., Huang, X., Attique, M., Liu, X., & Acakpovi, A. (2023). A cloud-based Bi-directional LSTM approach to grid-connected solar PV energy forecasting for multi-energy systems. Sustainable Computing, 40, Article 100892. https://doi.org/10.1016/j.suscom.2023.100892

The drive for smarter, greener, and more livable cities has led to research towards more effective solar energy forecasting techniques and their integration into traditional power systems. However, the availability of real-time data, data storage, an... Read More about A cloud-based Bi-directional LSTM approach to grid-connected solar PV energy forecasting for multi-energy systems.

PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images (2023)
Journal Article
Liu, Q., Zhang, Z., Liu, X., Zhang, Y., & Du, Z. (in press). PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images. Intelligent Automation and Soft Computing,

Automatic extraction of water body information from high-resolution remote sensing images is one of the core tasks of remote sensing image interpretation. Since the complex multi-scale characteristics of high-resolution remote sensing images, it is d... Read More about PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images.

A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter (2023)
Journal Article
Liu, Q., Zeng, L., Bilal, M., Song, H., Liu, X., Zhang, Y., & Cao, X. (2023). A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter. IEEE Transactions on Green Communications and Networking, 7(4), 1667 - 1677. https://doi.org/10.1109/tgcn.2023.3283509

Supply chain management is a vital part of ensuring service quality and production efficiency in industrial applications. With the development of cloud computing and data intelligence in modern industries, datacenters have become an important basic s... Read More about A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter.

CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images (2023)
Journal Article
Liu, Q., Li, Y., Bilal, M., Liu, X., Zhang, Y., Wang, H., & Xu, X. (2023). CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 2481-2491. https://doi.org/10.1109/jstars.2023.3244336

In recent years, AI and Deep Learning (DL) methods have been widely used for object classification, recognition, and segmentation of high-resolution multispectral remote sensing images. These DL-based solutions perform better compare to traditional s... Read More about CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images.

Explainable AI-Based DDOS Attack Identification Method for IoT Networks (2023)
Journal Article
Kalutharage, C. S., Liu, X., Chrysoulas, C., Pitropakis, N., & Papadopoulos, P. (2023). Explainable AI-Based DDOS Attack Identification Method for IoT Networks. Computers, 12(2), Article 32. https://doi.org/10.3390/computers12020032

The modern digitized world is mainly dependent on online services. The availability of online systems continues to be seriously challenged by distributed denial of service (DDoS) attacks. The challenge in mitigating attacks is not limited to identify... Read More about Explainable AI-Based DDOS Attack Identification Method for IoT Networks.

High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network (2022)
Conference Proceeding
Zhang, Z., Li, Y., Liu, Q., & Liu, X. (2022). High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927756

A basic stage of hydrological research is to automatically extract water body information from high-resolution remote sensing images. Various methods based on deep learning convolutional neural networks have been proposed in recent studies to achieve... Read More about High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network.

Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review (2022)
Conference Proceeding
Darteh, O. F., Liu, Q., Liu, X., Bah, I., Nakoty, F. M., & Acakpovi, A. (2022). Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927892

The transition of the conventional power grid into the Smart Grid (SG), a widely distributed energy delivery network characterized by a two-way flow of electricity and information, is key for energy sector stakeholders. Despite the SG’s clear improve... Read More about Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review.

Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction (2022)
Conference Proceeding
Sun, J., Wu, H., Liu, Q., Liu, X., & Ma, J. (2022). Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927851

The weather radar will receive a lot of non-meteorological echo information during the body scan process, such as: object echoes, co-wave interference echoes, airplanes, flocks of birds, etc. These non-meteorological echoes will cause pollution to no... Read More about Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction.

An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models (2022)
Conference Proceeding
Wang, Y., Yang, Z., Liu, Q., & Liu, X. (2022). An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927983

Short-term heavy rainfall can have a significant impact on people's production, life and travel. Numerical Weather Prediction (NWP) is complex. It can predict weather conditions for the next week or even two weeks, but cannot predict the weather in t... Read More about An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models.

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract) (2022)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022). Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8

Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detecting attacks. However, the lack of transparency in their decision-making pro... Read More about Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract).

A survey of intelligent load monitoring in IoT-enabled distributed smart grids (2022)
Journal Article
Gan, J., Zeng, L., Liu, Q., & Liu, X. (2023). A survey of intelligent load monitoring in IoT-enabled distributed smart grids. International Journal of Ad Hoc and Ubiquitous Computing, 42(1), 12. https://doi.org/10.1504/ijahuc.2023.127781

Power load monitoring has been a research hotspot since a few years ago. With development of artificial intelligence, construction of smart grid has become the most important part of power load monitoring. At the same time, task scheduling mechanism... Read More about A survey of intelligent load monitoring in IoT-enabled distributed smart grids.

A Survey on the Integration of Blockchain and IoT: Challenges and Opportunities (2022)
Book Chapter
Abubakar, M., Jaroucheh, Z., Al-Dubai, A., & Liu, X. (2022). A Survey on the Integration of Blockchain and IoT: Challenges and Opportunities. In R. Jiang, A. Bouridane, C. Li, D. Crookes, S. Boussakta, F. Hao, & E. A. Edirisinghe (Eds.), Big Data Privacy and Security in Smart Cities (197-221). Cham: Springer. https://doi.org/10.1007/978-3-031-04424-3_11

Since Satoshi Nakamoto first introduced the blockchain as an open-source project for secure financial transactions, it has attracted the scientific community’s interest, paving the way for addressing problems in domains other than cryptocurrencies, o... Read More about A Survey on the Integration of Blockchain and IoT: Challenges and Opportunities.

A Lightweight and User-centric Two-factor Authentication Mechanism for IoT Based on Blockchain and Smart Contract (2022)
Conference Proceeding
Abubakar, M., Jaroucheh, Z., Al Dubai, A., & Liu, X. (2022). A Lightweight and User-centric Two-factor Authentication Mechanism for IoT Based on Blockchain and Smart Contract. In 2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH). https://doi.org/10.1109/smarttech54121.2022.00032

Two-factor authentication (2FA) is commonly used in Internet of Things (IoT) authentication to provide multi-layer protection. Tokens, often known as One-Time Passwords (OTP), are used to offer additional information. While this technique provides fl... Read More about A Lightweight and User-centric Two-factor Authentication Mechanism for IoT Based on Blockchain and Smart Contract.

A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars (2022)
Journal Article
Yang, Z., Wu, H., Liu, Q., Liu, X., Zhang, Y., & Cao, X. (2023). A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars. ISA Transactions, 132, 155-166. https://doi.org/10.1016/j.isatra.2022.06.046

In recent years, the number of weather-related disasters significantly increases across the world. As a typical example, short-range extreme precipitation can cause severe flooding and other secondary disasters, which therefore requires accurate pred... Read More about A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars.

CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets (2022)
Journal Article
Yang, Z., Liu, Q., Wu, H., Liu, X., & Zhang, Y. (2023). CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets. Computer Modeling in Engineering and Sciences, 135(1), 45-64. https://doi.org/10.32604/cmes.2022.022045

Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upcoming heavy rain. Recent relevant research activities have shown their conc... Read More about CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets.

Near-Data Prediction Based Speculative Optimization in a Distribution Environment (2022)
Journal Article
Liu, Q., Wu, X., Liu, X., Zhang, Y., & Hu, Y. (2022). Near-Data Prediction Based Speculative Optimization in a Distribution Environment. Mobile Networks and Applications, 27(6), 2339-2347. https://doi.org/10.1007/s11036-021-01793-7

Hadoop is an open source from Apache with a distributed file system and MapReduce distributed computing framework. The current Apache 2.0 license agreement supports on-demand payment by consumers for cloud platform services, helping users leverage th... Read More about Near-Data Prediction Based Speculative Optimization in a Distribution Environment.

Intelligent Question Answering System Based on Knowledge Graph (2022)
Conference Proceeding
Feng, X., Liu, Q., & Liu, X. (2022). Intelligent Question Answering System Based on Knowledge Graph. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00225

In order to build a smart city and pursue more efficient city management, various industries have introduced intelligent question answering into process management. The intelligent question answering system based on the knowledge graph is dedicated t... Read More about Intelligent Question Answering System Based on Knowledge Graph.

A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment (2022)
Conference Proceeding
Lu, H., Kamoto, K. M., Liu, Q., Zhang, Y., Liu, X., Xu, X., & Qi, L. (2022). A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment. In Cloud Computing: 11th EAI International Conference, CloudComp 2021, Virtual Event, December 9–10, 2021, Proceedings (40-46). https://doi.org/10.1007/978-3-030-99191-3_4

It is of great significance to study the positive characteristics of concrete bearing cracks, fire and other adverse environment for the safety of human life and property and the protection of environmental resources. However, there are still some ch... Read More about A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment.

Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach (2022)
Conference Proceeding
Zhang, J., Sun, J., Gan, J., Liu, Q., & Liu, X. (2022). Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach. In 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00079

The past decade have seen a growth in Internet technology, the overlap of cyberspace and social space provides great convenience for people's life. The in-depth study of non-intrusive load management (NILM) promotes the development of multi-integrati... Read More about Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach.

An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data (2022)
Conference Proceeding
Wu, Z., Wu, X., Liu, Q., & Liu, X. (2022). An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data. In 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00082

There are more than 10 million new stroke cases worldwide every year, and stroke has become one of the main causes of death and disability. In recent years, with the rapid development of computer science and technology, through the combination of Int... Read More about An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data.

SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction (2022)
Journal Article
Li, Y., Lu, H., Liu, Q., Zhang, Y., & Liu, X. (2022). SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction. Remote Sensing, 14(3), Article 768. https://doi.org/10.3390/rs14030768

In the field of building detection research, an accurate, state-of-the-art semantic segmentation model must be constructed to classify each pixel of the image, which has an important reference value for the statistical work of a building area. Recent... Read More about SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction.

Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation (2021)
Conference Proceeding
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (2021). Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation. In 2021 CIE International Conference on Radar (Radar). https://doi.org/10.1109/Radar53847.2021.10028325

In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system and semantic rules to provide semantic reasoning for tracking erroneous data... Read More about Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation.

Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks (2021)
Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022). Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016/j.phycom.2021.101584

The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solutions benefiting from the advancement of emerging technologies such as Wire... Read More about Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks.

An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars (2021)
Journal Article
Wu, H., Liu, Q., Liu, X., Zhang, Y., & Yang, Z. (2022). An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars. World Wide Web, 25, 1923-1949. https://doi.org/10.1007/s11280-021-00988-y

Internet of Things (IoT) has been rapidly developed in recent years, being well applied in the fields of Environmental Surveillance, Smart Grid, Intelligent Transportation, and so on. As one of the typical earth-based meteorological observation metho... Read More about An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars.

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data (2021)
Journal Article
Lu, H., Liu, Q., Liu, X., & Zhang, Y. (2021). A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data. Journal of Organizational and End User Computing, 33(6), Article 6. https://doi.org/10.4018/joeuc.20211101.oa6

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid more and more attention. Through the semantic research of remote sensing dat... Read More about A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data.

Architecting Green Mobile Cloud Apps (2021)
Book Chapter
Jaachimma Chinenyeze, S., & Liu, X. (2021). Architecting Green Mobile Cloud Apps. In C. Calero, M. Á. Moraga, & M. Piattini (Eds.), Software Sustainability (183-214). Cham: Springer. https://doi.org/10.1007/978-3-030-69970-3_8

With the resource-constrained nature of mobile devices, and the resource-abundant offerings of the cloud, several promising optimization techniques have been proposed by the green computing research community. Prominent techniques and unique methods... Read More about Architecting Green Mobile Cloud Apps.

RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction (2021)
Journal Article
Zhu, L., Liu, Q., Liu, X., & Zhang, Y. (2021). RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction. EURASIP Journal on Wireless Communications and Networking, 2021, Article 171 (2021). https://doi.org/10.1186/s13638-021-02044-9

For the purpose of exploring the long-term variation of regional sea surface temperature (SST), this paper studies the historical SST in regional sea areas and the emission pattern of greenhouse gases, proposing a Grey model of regional SST atmospher... Read More about RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction.

Blockchain-based identity and authentication scheme for MQTT protocol (2021)
Conference Proceeding
Abdelrazig Abubakar, M., Jaroucheh, Z., Al-Dubai, A., & Liu, X. (2021). Blockchain-based identity and authentication scheme for MQTT protocol. In ICBCT '21: 2021 The 3rd International Conference on Blockchain Technology (73-81). https://doi.org/10.1145/3460537.3460549

The publish and subscribe messaging model has proven itself as a dominant messaging paradigm for IoT systems. An example of such is the commonly used Message Queuing Telemetry Transport (MQTT) protocol. However, the security concerns with this protoc... Read More about Blockchain-based identity and authentication scheme for MQTT protocol.

A Control and Posture Recognition Strategy for Upper-Limb Rehabilitation of Stroke Patients (2021)
Journal Article
Yu, X., Xiao, B., Tian, Y., Wu, Z., Liu, Q., Wang, J., …Liu, X. (2021). A Control and Posture Recognition Strategy for Upper-Limb Rehabilitation of Stroke Patients. Wireless Communications and Mobile Computing, 2021, Article 6630492. https://doi.org/10.1155/2021/6630492

At present, the study of upper-limb posture recognition is still in the primary stage; due to the diversity of the objective environment and the complexity of the human body posture, the upper-limb posture has no public dataset. In this paper, an upp... Read More about A Control and Posture Recognition Strategy for Upper-Limb Rehabilitation of Stroke Patients.

A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation (2021)
Journal Article
Ding, C., Wang, G., Zhang, X., Liu, Q., & Liu, X. (2021). A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation. Environmental and Ecological Statistics, 128(3), 503-522. https://doi.org/10.1007/s10651-021-00501-8

Long-term exposure to air environments full of suspended particles, especially PM2.5, would seriously damage people's health and life (i.e., respiratory diseases and lung cancers). Therefore, accurate PM2.5 prediction is important for the government... Read More about A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation.

Programming Languages: A Usage-based Statistical Analysis and Visualization (2021)
Conference Proceeding
Orlowska, A., Chrysoulas, C., Jaroucheh, Z., & Liu, X. (2021). Programming Languages: A Usage-based Statistical Analysis and Visualization. In ICISS 2021: 2021 The 4th International Conference on Information Science and Systems (143-148). https://doi.org/10.1145/3459955.3460614

Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest... Read More about Programming Languages: A Usage-based Statistical Analysis and Visualization.

A fully connected deep learning approach to upper limb gesture recognition in a secure FES rehabilitation environment (2021)
Journal Article
Liu, Q., Wu, X., Jiang, Y., Liu, X., Zhang, Y., Xu, X., & Qi, L. (2021). A fully connected deep learning approach to upper limb gesture recognition in a secure FES rehabilitation environment. International Journal of Intelligent Systems, 36(5), 2387-2411. https://doi.org/10.1002/int.22383

Stroke is one of the leading causes of death and disability in the world. The rehabilitation of Patients' limb functions has great medical value, for example, the therapy of functional electrical stimulation (FES) systems, but suffers from effective... Read More about A fully connected deep learning approach to upper limb gesture recognition in a secure FES rehabilitation environment.

A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid (2021)
Journal Article
Anaadumba, R., Liu, Q., Marah, B. D., Nakoty, F. M., Liu, X., & Zhang, Y. (2021). A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid. Cybersecurity, 4, Article 1 (2021). https://doi.org/10.1186/s42400-020-00065-3

Energy forecasting using Renewable energy sources (RESs) is gradually gaining weight in the research field due to the benefits it presents to the modern-day environment. Not only does energy forecasting using renewable energy sources help mitigate th... Read More about A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid.

A Fast Classification Approach to Upper-Limb Posture Recognition (2020)
Conference Proceeding
Wu, X., Jiang, Y., Liu, Q., Wu, H., & Liu, X. (2020). A Fast Classification Approach to Upper-Limb Posture Recognition. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00118

A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles (2020)
Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Zhang, Y., Yang, Z., Khosravi, M. R., …Qi, L. (2021). A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles. IEEE Sensors Journal, 21(14), 15895-15903. https://doi.org/10.1109/jsen.2020.3027684

Intelligent transportation systems (ITSs) have become popular in recent years as an essential requirement for safer and more efficient transportation systems. Internet of Electric vehicles (IoEV) as well as their hybrid forms provide an ideal means o... Read More about A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles.

A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings (2020)
Journal Article
Liu, Q., Nakoty, F. M., Wu, X., Anaadumba, R., Liu, X., Zhang, Y., & Qi, L. (2020). A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings. Computer Communications, 162, 187-195. https://doi.org/10.1016/j.comcom.2020.08.024

Compared to Intrusive Load Monitoring which uses smart power meters at each level to be monitored, Non-Intrusive Load Monitoring (NILM) is an ingenious way that relies on signal readings at a single point to deduce the share of the devices that have... Read More about A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings.

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies (2020)
Conference Proceeding
Jaroucheh, Z., Alissa, M., Buchanan, W. J., & Liu, X. (2020). TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC 2020) (1215-1220)

The growing trend of sharing news/contents, through social media platforms and the World Wide Web has been seen to impact our perception of the truth, altering our views about politics, economics, relationships, needs and wants. This is because of th... Read More about TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies.

Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment (2020)
Journal Article
Estévez, J., Bellido-Jiménez, J. A., Liu, X., & García-Marín, A. P. (2020). Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment. Water, 12(7), Article 1909. https://doi.org/10.3390/w12071909

Accurate forecast of hydrological data such as precipitation is critical in order to provide useful information for water resources management, playing a key role in different sectors. Traditional forecasting methods present many limitations due to t... Read More about Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment.

A Survey of Error Analysis and Calibration Methods for MEMS Triaxial Accelerometers (2020)
Journal Article
Xiao, B., Jiang, Y., Liu, Q., Liu, X., & Sun, M. (2020). A Survey of Error Analysis and Calibration Methods for MEMS Triaxial Accelerometers. Computers, Materials & Continua, 64(1), 389-399. https://doi.org/10.32604/cmc.2020.06092

MEMS accelerometers are widely used in various fields due to their small size and low cost, and have good application prospects. However, the low accuracy limits its range of applications. To ensure data accuracy and safety we need to calibrate MEMS... Read More about A Survey of Error Analysis and Calibration Methods for MEMS Triaxial Accelerometers.

An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes (2020)
Journal Article
Jiang, Y., Liu, Q., Dannah, W., Jin, D., Liu, X., & Sun, M. (2020). An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes. Computers, Materials & Continua, 62(2), 713-729. https://doi.org/10.32604/cmc.2020.04604

Hadoop is a well-known parallel computing system for distributed computing and large-scale data processes. “Straggling” tasks, however, have a serious impact on task allocation and scheduling in a Hadoop system. Speculative Execution (SE) is an effic... Read More about An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes.

An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values (2020)
Journal Article
Chen, J., Chen, K., Ding, C., Wang, G., Liu, Q., & Liu, X. (2020). An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values. IEEE Access, 8, 4265-4272. https://doi.org/10.1109/access.2019.2963416

In recent years, Air Quality Index (AQI) have been widely used to describe the severity of haze and other air pollutions yet suffers from inefficiency and compatibility on real-time perception and prediction. In this paper, an Auto-Regressive (AR) pr... Read More about An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values.

A Review on Deep Learning Approaches to Image Classification and Object Segmentation (2019)
Journal Article
Wu, H., Liu, Q., & Liu, X. (2019). A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595

Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Present proposed artificial neural networks and optimization skills have effe... Read More about A Review on Deep Learning Approaches to Image Classification and Object Segmentation.

PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model (2019)
Journal Article
Chen, K., Wang, G., Wu, L., Chen, J., Yuan, S., Liu, Q., & Liu, X. (2019). PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model. International Journal of Environmental Research and Public Health, 16(24), Article 5102. https://doi.org/10.3390/ijerph16245102

At present particulate matter (PM₂.₅) pollution represents a serious threat to the public health and the national economic system in China. This paper optimizes the whitening coefficient in a grey Markov model by a genetic algorithm, predicts the con... Read More about PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model.

Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies (2019)
Conference Proceeding
Sun, M., Michael Kamoto, K., Liu, Q., Liu, X., & Qi, L. (2019). Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies.

The Internet of Things (IoT) has already begun to drastically alter the way people operate in various industries across the world, as well as how we interact with our environment. There is a lot of progress being made toward... Read More about Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies.

Near-Data Prediction Based Speculative Optimization in a Distribution Environment (2019)
Conference Proceeding
Sun, M., Wu, X., Jin, D., Xu, X., Liu, Q., & Liu, X. (2019). Near-Data Prediction Based Speculative Optimization in a Distribution Environment.

Apache Hadoop is an open source software framework that supports data-intensive distributed applications and is distributed under the Apache 2.0 licensing agreement, where consumers will no longer deal with complex configuration of softwar... Read More about Near-Data Prediction Based Speculative Optimization in a Distribution Environment.

Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing (2019)
Journal Article
Liu, Q., Wang, Z., Liu, X., & Linge, N. (2019). Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing. International Journal of High Performance Computing and Networking, 14(4), 435-443. https://doi.org/10.1504/IJHPCN.2019.102350

In the wake of the development in science and technology, Cloud Computing has obtained more attention in different field. Meanwhile, outlier detection for data mining in Cloud Computing is playing more and more significant role in different research... Read More about Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing.

Semantic Stream Management Framework for Data Consistency in Smart Spaces (2019)
Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2019). Semantic Stream Management Framework for Data Consistency in Smart Spaces. . https://doi.org/10.1109/COMPSAC.2019.10188

Semantic technology can provide a bridge between smart applications and Internet of Things (IoT) to enable possible integration and interoperability of data produced by heterogeneous devices. In IoT, data quality plays an important role when it c... Read More about Semantic Stream Management Framework for Data Consistency in Smart Spaces.

Reviving legacy enterprise systems with microservice-based architecture within cloud environments (2019)
Conference Proceeding
Habibullah, S., Liu, X., Tan, Z., Zhang, Y., & Liu, Q. (2019). Reviving legacy enterprise systems with microservice-based architecture within cloud environments. In Computer Science Conference Proceedings. https://doi.org/10.5121/csit.2019.90713

Evolution has always been a challenge for enterprise computing systems. The microservice based architecture is a new design model which is rapidly becoming one of the most effective means to re-architect legacy enterprise systems and to reengineer th... Read More about Reviving legacy enterprise systems with microservice-based architecture within cloud environments.

Indirect Economic Impact Incurred by Haze Pollution: An Econometric and Input–Output Joint Model (2019)
Journal Article
Chen, J., Chen, K., Wang, G., Chen, R., Liu, X., & Wei, G. (2019). Indirect Economic Impact Incurred by Haze Pollution: An Econometric and Input–Output Joint Model. International Journal of Environmental Research and Public Health, 16(13), 2328. https://doi.org/10.3390/ijerph16132328

Econometrics and input–output models have been presented to construct a joint model (i.e., an EC + IO model) in the paper, which is characterized by incorporating the uncertainty of the real economy with the detailed departmental classification struc... Read More about Indirect Economic Impact Incurred by Haze Pollution: An Econometric and Input–Output Joint Model.

An Auto-Calibration Approach to Robust and Secure Usage of Accelerometers for Human Motion Analysis in FES Therapies (2019)
Journal Article
Sun, M., Jiang, Y., Liu, Q., & Liu, X. (2019). An Auto-Calibration Approach to Robust and Secure Usage of Accelerometers for Human Motion Analysis in FES Therapies. Computers, Materials & Continua, 60(1), 67-83. https://doi.org/10.32604/cmc.2019.06079

A Functional Electrical stimulation (FES) therapy is a common rehabilitation intervention after stroke, and finite state machine (FSM) has proven to be an effective and intuitive FES control method. The FSM uses the data information generated by the... Read More about An Auto-Calibration Approach to Robust and Secure Usage of Accelerometers for Human Motion Analysis in FES Therapies.

A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction (2019)
Journal Article
Liu, Q., Zou, Y., & Liu, X. (2019). A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction. Computer Modeling in Engineering and Sciences, 119(3), 617-637. https://doi.org/10.32604/cmes.2019.06272

Haze-fog, which is an atmospheric aerosol caused by natural or man-made factors, seriously affects the physical and mental health of human beings. PM2.5 (a particulate matter whose diameter is smaller than or equal to 2.5 microns) is the chief culpri... Read More about A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction.

Non-intrusive load monitoring and its challenges in a NILM system framework (2019)
Journal Article
Liu, Q., Lu, M., Liu, X., & Linge, N. (2019). Non-intrusive load monitoring and its challenges in a NILM system framework. International Journal of High Performance Computing and Networking, 14(1), 102-111. https://doi.org/10.1504/IJHPCN.2019.099748

With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual appliance’s energy consumption instead of the whole-house energy consumpti... Read More about Non-intrusive load monitoring and its challenges in a NILM system framework.

A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme (2019)
Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Liu, Q. (2020). A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme. In Security with Intelligent Computing and Big-data Services (701-706). https://doi.org/10.1007/978-3-030-16946-6_57

The air quality in urban areas seriously affects the physical and mental health of human beings. And PM2.5 (a particulate matter whose diameter is smaller than or equal to 2.5 microns) is the chief culprit causing haze-fog. Since the meteorological d... Read More about A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme.

PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism (2019)
Journal Article
Chen, J., Chen, K., Wang, G., Wu, L., Liu, X., & Wei, G. (2019). PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism. International Journal of Environmental Research and Public Health, 16(7), Article 1159. https://doi.org/10.3390/ijerph16071159

In this paper, a vector autoregression (VAR) model has been constructed in order to analyze a two-way mechanism between PM2.5 pollution and industry development in Beijing via the combination of an impulse response function and variance decomposition... Read More about PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism.

Microgrids As A Service for Rural Electrification in Sub-Saharan Africa. (2019)
Journal Article
Liu, Q., Kamoto, K. M., & Liu, X. (2020). Microgrids As A Service for Rural Electrification in Sub-Saharan Africa. Computers, Materials & Continua, 63(3), 1249-1261. https://doi.org/10.32604/cmc.2020.05598

The majority of the population on the African continent is unable to access basic electricity services, this despite the abundance of renewable energy sources (RESs). The inability to adequately tap into these RESs has led to the continued dependence... Read More about Microgrids As A Service for Rural Electrification in Sub-Saharan Africa..

Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models (2019)
Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Sun, M., & Linge, N. (2019). Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models. IEEE Transactions on Consumer Electronics, 65(1), 1-1. https://doi.org/10.1109/tce.2019.2891160

Awareness of electric energy usage has both societal and economic benefits, which include reduced energy bills and stress on non-renewable energy sources. In recent years, there has been a surge in interest in the field of load monitoring, also refer... Read More about Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models.

A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network (2018)
Journal Article
Liu, X., Liu, Q., & Sun, M. (2018). A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network. Computers, Materials & Continua, 57(2), 179-194. https://doi.org/10.32604/cmc.2018.04025

In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselves. During the measurement, collection and transmission of electricity load... Read More about A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network.

An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment (2018)
Journal Article
Jin, D., Liu, Q., Liu, X., & Linge, N. (2019). An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment. Journal of Computers, 30(3), 130-142. https://doi.org/10.3966/199115992019063003010

Hadoop is a famous parallel computing framework that is applied to process large-scale data, but there exists such a task in hadoop framework, which is called “Straggling task” and has a serious impact on Hadoop. Speculative execution (SE) is an effe... Read More about An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment.

SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data (2018)
Journal Article
Xiao, B., Wang, Z., Liu, Q., & Liu, X. (2018). SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data. Computers, Materials & Continua, 56(3), 365-379. https://doi.org/10.3970/cmc.2018.01830

In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been solved. At the same time, outlier detection problems in mass data have also co... Read More about SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data.

An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules (2018)
Journal Article
Habibullah, S., Liu, X., & Tan, Z. (2018). An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules. International Journal of Computer Theory and Engineering, 10(5), 164-169. https://doi.org/10.7763/ijcte.2018.v10.1219

Evolving legacy enterprise systems into a lean system architecture has been on the agendas of many enterprises. Recent advance in legacy system evaluation is in favour of microservice technologies, which not only significantly reduce the complexity i... Read More about An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules.

Appliance Recognition Based on Continuous Quadratic Programming (2018)
Conference Proceeding
Liu, X., & Liu, Q. (2018). Appliance Recognition Based on Continuous Quadratic Programming. In Proceedings of 4th International Conference on Cloud Computing and Security (ICCCS 2018) (63-72). https://doi.org/10.1007/978-3-030-00018-9_6

The detailed information of residents' electricity consumption is of great significance to the planning of the use of electrical appliances and the reduction of electrical energy consumption. On the basis of analyzing the characteristics of residents... Read More about Appliance Recognition Based on Continuous Quadratic Programming.

CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN (2018)
Conference Proceeding
Liu, X., & Liu, Q. (2018). CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN. In Proceedings of the 3rd International Conference on Computer and Communication Systems (306-309). https://doi.org/10.1109/CCOMS.2018.8463242

Acoustic Communication is one of the most common and popular techniques used for Underwater Sensor Networks. The design of its communication protocol becomes a challenge due to its features of high delay and low bandwidth. Relevant research work has... Read More about CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN.

A Self-organizing LSTM-Based Approach to PM2.5 Forecast (2018)
Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Wang, G. (2018). A Self-organizing LSTM-Based Approach to PM2.5 Forecast. In Proceedings of the 4th International Conference on Cloud Computing and Security (ICCCS 2018) (683-693). https://doi.org/10.1007/978-3-030-00015-8_59

Nanjing has been listed as the one of the worst performers across China with respect to the high level of haze-fog, which impacts people's health greatly. For the severe condition of haze-fog, PM2.5 is the main cause element of haze-fog pollution in... Read More about A Self-organizing LSTM-Based Approach to PM2.5 Forecast.

Home appliances classification based on multi-feature using ELM (2018)
Journal Article
Wu, Z., Liu, Q., Chen, F., Chen, F., Liu, X., & Linge, N. (2018). Home appliances classification based on multi-feature using ELM. International Journal of Sensor Networks, 28(1), 34. https://doi.org/10.1504/ijsnet.2018.094710

With the development of science and technology, the application in artificial intelligence has been more and more popular, as well as smart home has become a hot topic. And pattern recognition adapting to smart home attracts more attention, while the... Read More about Home appliances classification based on multi-feature using ELM.

Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. (2018)
Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2018). Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). https://doi.org/10.1109/COMPSAC.2018.10330

Smart Spaces currently benefits from Internet of Things (IoT) infrastructures in order to realise its objectives. In many cases, it demonstrates this through certain automated applications that relies on sensor streams that comes with some uncertaint... Read More about Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces..

A method for electric load data verification and repair in home environment (2018)
Journal Article
Liu, Q., Li, S., Liu, X., & Linge, N. (2018). A method for electric load data verification and repair in home environment. International Journal of Embedded Systems, 10(3), 248-256. https://doi.org/10.1504/ijes.2018.091788

Home energy management (HEM) and smart home have been popular among people; HEM collects and analyses the electric load data to make the power use safe, reliable, economical, efficient and environmentally friendly. Without the correct data, the corre... Read More about A method for electric load data verification and repair in home environment.

A survey on rainfall forecasting using artificial neural network (2018)
Journal Article
Liu, Q., Zou, Y., Liu, X., & Linge, N. (2019). A survey on rainfall forecasting using artificial neural network. International Journal of Embedded Systems, 11(2), 240-249. https://doi.org/10.1504/ijes.2018.10016095

Rainfall has a great impact on agriculture and people’s daily travel, so accurate prediction of precipitation is well worth studying for researchers. Traditional methods like numerical weather prediction (NWP) models or statistical models can’t provi... Read More about A survey on rainfall forecasting using artificial neural network.

CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks (2018)
Journal Article
Liu, Q., Chen, X., Liu, X., & Linge, N. (2018). CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks. International Journal of Sensor Networks, 26(1), 1. https://doi.org/10.1504/ijsnet.2018.088364

Underwater Acoustic Sensor Networks (UANs) have emerged as a promising technology recently which can be applied in many areas such as military and civil, where the communication between devices is crucial and challenging due to the unique characteris... Read More about CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks.

Cognitive Internet of Everything (CIoE): State of the Art and Approaches (2017)
Book Chapter
Jamnal, G. S., Liu, X., Fan, L., & Ramachandran, M. (2017). Cognitive Internet of Everything (CIoE): State of the Art and Approaches. In R. Mihajlovic, M. Ramachandran, R. Behringer, & P. Kocovic (Eds.), Emerging Trends and Applications of the Internet of Things; Advances in Wireless Technologies and Telecommunication (277-309). IGI Global. https://doi.org/10.4018/978-1-5225-2437-3.ch010

In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not re... Read More about Cognitive Internet of Everything (CIoE): State of the Art and Approaches.

A Cognitive-IoE Approach to Ambient-intelligent Smart Home (2017)
Conference Proceeding
Jamnal, G., & Liu, X. (2017). A Cognitive-IoE Approach to Ambient-intelligent Smart Home. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (302-308). https://doi.org/10.5220/0006304103020308

In today’s world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not re... Read More about A Cognitive-IoE Approach to Ambient-intelligent Smart Home.

A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system (2017)
Journal Article
Liu, X., & Liu, Q. (2018). A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system. Personal and Ubiquitous Computing, https://doi.org/10.1007/s00779-017-1093-2

In a non-uniformly distributed network, the dataconcentrating centre equipped with sparse nodes rapidly depletes its battery energy due to the hotspot problem. To solve this problem, a Virtual Uneven Grid-based Routing protocol (VUGR) is proposed in... Read More about A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system.

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs (2017)
Conference Proceeding
Liu, X., & Liu, Q. (2017). An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. In X. Sun, H. C. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security (ICCCS 2017) (450-459). https://doi.org/10.1007/978-3-319-68505-2_39

With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. However, the requirements of performance for WSNs are becoming great in terms... Read More about An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs.

Power Consuming Activity Recognition in Home Environment (2017)
Conference Proceeding
Liu, X., & Liu, Q. (2017). Power Consuming Activity Recognition in Home Environment. In X. Sun, H. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2017 (361-372). https://doi.org/10.1007/978-3-319-68505-2_31

This work proposed an activity recognition model which focus on the power con-suming activity in home environment, to help residents modify their behavior. We set the IoT system with lower number of sensors. The key data for identifying activity come... Read More about Power Consuming Activity Recognition in Home Environment.

Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space (2017)
Conference Proceeding
Singh Jamnal, G., Liu, X., & Fan, L. (2017). Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. In Proceedings of The 29th International Conference on Software Engineering and Knowledge Engineering

In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used as building blocks to understand inhabitant activity patterns. The collecte... Read More about Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space.

ESBSC: Energy-Aware Service Brokering Strategy in Clouds (2017)
Conference Proceeding
Ma, F., Liu, X., Yang, Y., Yao, W., Cai, J., & Wang, F. (2017). ESBSC: Energy-Aware Service Brokering Strategy in Clouds. In Proceedings of the IEEE 41st Annual Computer Software and Applications Conference (COMPSAC). https://doi.org/10.1109/compsac.2017.120

One of the key features of cloud computing is on demand resource provision. Unfortunately, different cloud service providers often have different standards, which makes the job of choosing the suitable resource to be a very difficult one for the comm... Read More about ESBSC: Energy-Aware Service Brokering Strategy in Clouds.

An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment (2017)
Conference Proceeding
Liu, X., & Liu, Q. (2017). An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. In Proceedings of 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) (128-131). https://doi.org/10.1109/cse-euc.2017.208

Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance of slow tasks distribution. Speculative execution (SE) presents a way to d... Read More about An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2017)
Journal Article
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2017). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. International Journal of Sensor Networks, 25(2), 1. https://doi.org/10.1504/ijsnet.2017.10007397

In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffic towards the sink. These nodes with huge data traffic are easy to become... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment (2017)
Journal Article
Liu, Q., Cai, W., Liu, Q., Shen, J., Fu, Z., Liu, X., & Linge, N. (2017). An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment. KSII transactions on internet and information systems, 11(2), https://doi.org/10.3837/tiis.2017.02.004

MapReduce (MRV1), a popular programming model, proposed by Google, has been well used to process large datasets in Hadoop, an open source cloud platform. Its new version MapReduce 2.0 (MRV2) developed along with the emerging of Yarn has achieved obvi... Read More about An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment.

BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications (2017)
Journal Article
Chinenyeze, S. J., Liu, X., & Al-Dubai, A. (2017). BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29(2), e1848. https://doi.org/10.1002/smr.1848

With the resource-constrained nature of mobile devices and the resource-abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications.

A Task Orientated Requirements Ontology for Cloud Computing Services (2016)
Conference Proceeding
Greenwell, R., Liu, X., Chalmers, K., & Pahl, C. (2016). A Task Orientated Requirements Ontology for Cloud Computing Services. In Proceedings of the 6th International Conference on Cloud Computing and Services Science (CLOSER 2016) (121-128). https://doi.org/10.5220/0005752301210128

Requirements ontology offers a mechanism to map requirements for cloud computing services to cloud computing resources. Multiple stakeholders can capture and map knowledge in a flexible and efficient manner. The major contribution of the paper is the... Read More about A Task Orientated Requirements Ontology for Cloud Computing Services.

A Survey of Speculative Execution Strategy in MapReduce (2016)
Conference Proceeding
Liu, Q., Jin, D., Liu, X., & Linge, N. (2016). A Survey of Speculative Execution Strategy in MapReduce. In A. Liu, H. C. Chao, E. Bertino, & X. Sun (Eds.), Cloud Computing and Security (296-307). https://doi.org/10.1007/978-3-319-48671-0_27

MapReduce is a parallel computing programming model designed to process large-scale data. Therefore, the accuracy and efficiency for computing are needed to be assured and speculative execution is an efficient method for calculation of fault toleranc... Read More about A Survey of Speculative Execution Strategy in MapReduce.

An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework (2016)
Conference Proceeding
Liu, Q., Lu, M., Liu, X., & Linge, N. (2016). An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework. In Cloud Computing and Security (254-263). https://doi.org/10.1007/978-3-319-48674-1_23

With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual appliance’s energy consumption instead of the whole-house energy consumpti... Read More about An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework.

A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets (2016)
Conference Proceeding
Aldawood, S., Fowley, F., Pahl, C., Taibi, D., & Liu, X. (2016). A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets. In IEEE International Conference on Future Internet of Things and Cloud Workshops (FiCloudW). https://doi.org/10.1109/w-ficloud.2016.19

With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time tryin... Read More about A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets.

An adaptive approach to better load balancing in a consumer-centric cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Liu, X., & Linge, N. (2016). An adaptive approach to better load balancing in a consumer-centric cloud environment. IEEE Transactions on Consumer Electronics, 62(3), 243-250. https://doi.org/10.1109/tce.2016.7613190

Pay-as-you-consume, as a new type of cloud computing paradigm, has become increasingly popular since a large number of cloud services are gradually opening up to consumers. It gives consumers a great convenience, where users no longer need to buy the... Read More about An adaptive approach to better load balancing in a consumer-centric cloud environment.

CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network (2016)
Conference Proceeding
Liu, Q., Chen, X., Liu, X., & Linge, N. (2016). CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network. In X. Sun, A. Liu, H. C. Chao, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2016

Underwater acoustic sensor networks (UANs) have emerged as a promising technology which can be applied in many areas such as military and civil in recent years. Among these applications, the communication between the devices is crucial for providing... Read More about CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network.

A Method for Electric Load Data Verfication and Repair in home Environment (2016)
Conference Proceeding
Liu, Q., Li, S., Liu, X., & Linge, N. (2016). A Method for Electric Load Data Verfication and Repair in home Environment. In X. Sun, A. Liu, H. C. Chao, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2016 (244-253). https://doi.org/10.1007/978-3-319-48674-1_22

Most people do not have a consciousness of energy saving. For this phenomenon, the governments are building smart grids to take measures for the energy crisis. Electric load data records the electric consumption and plays an important role in operati... Read More about A Method for Electric Load Data Verfication and Repair in home Environment.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2016)
Conference Proceeding
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2016). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. In Cloud Computing and Security (232-243). https://doi.org/10.1007/978-3-319-48674-1_21

In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffic towards the sink. These nodes with huge data traffic are easy to become h... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

Pricing Ontology for Task-Oriented Cloud Sourcing (2016)
Conference Proceeding
Greenwell, R., Liu, X., & Chalmers, K. (2016). Pricing Ontology for Task-Oriented Cloud Sourcing. In 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud). https://doi.org/10.1109/ficloud.2016.17

Cloud computing allows access to computing resources from a number of providers, who offer multiple pricing strategies for selected product characteristics. The service offerings are becoming increasingly complex, with innovations such as spot market... Read More about Pricing Ontology for Task-Oriented Cloud Sourcing.

Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment (2016)
Journal Article
Liu, Q., Cai, W., Jin, D., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment. Sensors, 16(9), 1386. https://doi.org/10.3390/s16091386

Distributed Computing has achieved tremendous development since cloud computing was proposed in 2006, and played a vital role promoting rapid growth of data collecting and analysis models, e.g., Internet of things, Cyber-Physical Systems, Big Data An... Read More about Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment.

A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment. Security and Communication Networks, 9(17), 4002-4012. https://doi.org/10.1002/sec.1582

A heterogeneous cloud system, for example, a Hadoop 2.6.0 platform, provides distributed but cohesive services with rich features on large-scale management, reliability, and error tolerance. As big data processing is concerned, newly built cloud clus... Read More about A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment.

DEEPC: Dynamic Energy Profiling of Components (2016)
Conference Proceeding
Liu, X., Chinenyeze, S. J., & Al-Dubai, A. (2016). DEEPC: Dynamic Energy Profiling of Components. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC). https://doi.org/10.1109/COMPSAC.2016.90

Many software projects are built using reusable components (i.e. reusable objects - as per component and connectors in software architectures). During component selection in CBSD, components are evaluated on the criteria of required quality attribute... Read More about DEEPC: Dynamic Energy Profiling of Components.

A Classification and Comparison Framework for Cloud Service Brokerage Architectures (2016)
Journal Article
Fowley, F., Pahl, C., Jamshidi, P., Fang, D., & Liu, X. (2016). A Classification and Comparison Framework for Cloud Service Brokerage Architectures. IEEE Transactions on Cloud Computing, 6(2), 358-371. https://doi.org/10.1109/tcc.2016.2537333

Cloud service brokerage and related management and marketplace concepts have been identified as key concerns for future cloud technology development and research. Cloud service management is an important building block of cloud architectures that can... Read More about A Classification and Comparison Framework for Cloud Service Brokerage Architectures.

An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation (2015)
Journal Article
Fang, D., Liu, X., Romdhani, I., Jamshidi, P., & Pahl, C. (2016). An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation. Future Generation Computer Systems, 56, 11-26. https://doi.org/10.1016/j.future.2015.09.025

Cloud computing enables a revolutionary paradigm of consuming ICT services. However, due to the inadequately described service information, users often feel confused while trying to find the optimal services. Although some approaches are proposed to... Read More about An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation.

Green services, engineering, optimization and modelling in the technological age (2015)
Book
Liu, X., & Li, Y. (Eds.). (2015). Green services, engineering, optimization and modelling in the technological age. Hershey, PA, USA: IGI Global. https://doi.org/10.4018/978-1-4666-8447-8

Concerns surrounding environmental sustainability have led to an increase of interest in environmentally-friendly systems. In the ICT realm, attention has been largely paid to green aspects of hardware; however, it is equally necessary to address thi... Read More about Green services, engineering, optimization and modelling in the technological age.

Semantic description of cloud service agreements (2015)
Conference Proceeding
Greenwell, R., Liu, X., & Chalmers, K. (2015). Semantic description of cloud service agreements. In Science and Information Conference (SAI), 2015 (823-831). https://doi.org/10.1109/sai.2015.7237239

To provide cloud services as a utility there must be a mechanism for comprehensively and precisely specifying cloud service agreements to reduce differences in service perception between customers and suppliers. This paper proposes a description... Read More about Semantic description of cloud service agreements.

An approach to unified cloud service access, manipulation and dynamic orchestration via semantic cloud service operation specification framework (2015)
Journal Article
Fang, D., Liu, X., Romdhani, I., & Pahl, C. (2015). An approach to unified cloud service access, manipulation and dynamic orchestration via semantic cloud service operation specification framework. Journal of cloud computing: advances, systems and applications, 4(1), https://doi.org/10.1186/s13677-015-0039-3

Cloud computing offers various computational resources via convenient on-demand service provision. Currently, heterogeneous services and cloud resources are usually utilized and managed through diverse service portals. This significantly limits the e... Read More about An approach to unified cloud service access, manipulation and dynamic orchestration via semantic cloud service operation specification framework.

A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval. (2015)
Conference Proceeding
Fang, D., Liu, X., & Romdhani, I. (2015). A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval. In W. Zimmerman, Y. W. Lee, & C. Reich (Eds.), Cloud Computing 2014: the Fifth International Conference on Cloud Computing, Grids and Virtualization (6-11)

As cloud services propagate along with the rapid development of cloud computing, issues raised in service selection and retrieval processes become increasingly critical. While many approaches are proposed on the specification and discovery of cloud s... Read More about A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval..

Critical Evaluation on jClouds and Cloudify Abstract APIs against EC2, Azure and HP-Cloud. (2014)
Conference Proceeding
Graham, S. T., & Liu, X. (2014). Critical Evaluation on jClouds and Cloudify Abstract APIs against EC2, Azure and HP-Cloud. In 2014 IEEE 38th International Computer Software and Applications Conference Workshops (COMPSACW), (510-515)

With Cloud Computing there comes new possibilities like programmability of Infrastructure via provider exposed APIs. These APIs can aid the concept of elasticity that is associated with the Cloud however, there is a trend that these APIs are provider... Read More about Critical Evaluation on jClouds and Cloudify Abstract APIs against EC2, Azure and HP-Cloud..

Benefits management of cloud computing investments (2014)
Journal Article
Greenwell, R., Liu, X., & Chalmers, K. (2014). Benefits management of cloud computing investments. International Journal of Advanced Computer Science and Applications, 5(7), 1-9. https://doi.org/10.14569/IJACSA.2014.050701

This paper examines investments in cloud computing using the Benefits Management approach. The major contribution of the paper is to provide a unique insight into how organizations derive value from cloud computing investments. The motivation for wri... Read More about Benefits management of cloud computing investments.

An Upper Ontology for Benefits Management of Cloud Computing (2014)
Journal Article
Greenwell, R., Liu, X., & Chalmers, K. (2014). An Upper Ontology for Benefits Management of Cloud Computing. International Journal of Advanced Computer Science and Applications, 5(12), https://doi.org/10.14569/IJACSA.2014.051211

Benefits Management provides an established approach for decision making and value extraction for IT/IS investments and, can be used to examine cloud computing investments. The motivation for developing an upper ontology for Benefits Management is th... Read More about An Upper Ontology for Benefits Management of Cloud Computing.

Cloud Migration Patterns: A Multi-Cloud Service Architecture Perspective. (2014)
Conference Proceeding
Jamshidi, P., Pahl, C., Chinenyeze, S., & Liu, X. (2014). Cloud Migration Patterns: A Multi-Cloud Service Architecture Perspective.

Many organizations migrate their on-premise software systems to the cloud. However, current coarse-grained cloud migration solutions have made a transparent migration of on-premise applications to the cloud a difficult, sometimes trial-and-error base... Read More about Cloud Migration Patterns: A Multi-Cloud Service Architecture Perspective..

A Software Engineering Framework for Context-Aware Service-Based Processes in Pervasive Environments (2014)
Book Chapter
Jaroucheh, Z., Liu, X., & Smith, S. (2014). A Software Engineering Framework for Context-Aware Service-Based Processes in Pervasive Environments. In Software Design and Development (71-95). IGI Global. https://doi.org/10.4018/978-1-4666-4301-7.ch005

Context-awareness is considered to be the cornerstone technique for developing pervasive computing applications that are flexible, adaptable, and capable of acting autonomously on behalf of the user. However, context-awareness introduces various soft... Read More about A Software Engineering Framework for Context-Aware Service-Based Processes in Pervasive Environments.

An aspect oriented model for software energy efficiency in decentralised servers. (2014)
Conference Proceeding
Chinenyeze, S., Liu, X., & Al-Dubai, A. (2014). An aspect oriented model for software energy efficiency in decentralised servers. In ict4s-14. https://doi.org/10.2991/ict4s-14.2014.14

Green software is currently gaining interests with the increasing impact of IT in energy consumption. Green-ness in software however, can be achieved at various stages of the Software Development Life Cycle (SDLC). Consequently, several software engi... Read More about An aspect oriented model for software energy efficiency in decentralised servers..

OCSO: Off-the-cloud service optimization for green efficient service resource utilization (2014)
Journal Article
Fang, D., Liu, X., Liu, L., & Yang, H. (2014). OCSO: Off-the-cloud service optimization for green efficient service resource utilization. Journal of cloud computing: advances, systems and applications, 3(1), https://doi.org/10.1186/s13677-014-0009-1

Many efforts have been made in optimizing cloud service resource management for efficient service provision and delivery, yet little research addresses how to consume the provisioned service resources efficiently. Meanwhile, typical existing resource... Read More about OCSO: Off-the-cloud service optimization for green efficient service resource utilization.

Requirements model driven adaption and evolution of Internetware (2014)
Journal Article
Liu, L., Yang, C., Wang, J., Ye, X., Liu, Y., Yang, H., & Liu, X. (2014). Requirements model driven adaption and evolution of Internetware. Science China Information Sciences, 57(1), 1-19. https://doi.org/10.1007/s11432-014-5064-1

Today’s software systems need to support complex business operations and processes. The development of the web-based software systems has been pushing up the limits of traditional software engineering methodologies and technologies as they are requir... Read More about Requirements model driven adaption and evolution of Internetware.

Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds (2013)
Journal Article
Wei, H., Wang, Z., Liu, X., Chalmers, K., & Cheng, G. (2013). Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds. Journal of Industrial and Intelligent Information, 1(1), 6-9. https://doi.org/10.12720/jiii.1.1.6-9

The proposed research will focus on developing a novel approach to solve Software Service Evolution problems in Computing Clouds. The approach will support dynamic evolution of the software service in clouds via a set of discovered evolution patterns... Read More about Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds.

TARGO: transition and reallocation based green optimization for Cloud VMs. (2013)
Conference Proceeding
Fang, D., Liu, X., Liu, L., & Yang, H. (2013). TARGO: transition and reallocation based green optimization for Cloud VMs. In Proceedings of the IEEE International Conference on Green Computing and Communications 2013 (215-223). https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.56

Much research has been conducted focusing on improving resource utilization efficiency in data centers in the context of Green Cloud Computing (GCC). While virtualization enables better resource provision and utilization for various computational res... Read More about TARGO: transition and reallocation based green optimization for Cloud VMs..

Pricing Intelligence as a Service for Cloud Computing (2013)
Conference Proceeding
Greenwell, R., Liu, X., & Chalmers, K. (2013). Pricing Intelligence as a Service for Cloud Computing. In Proceedings of 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom'13) (244-247). https://doi.org/10.1109/cloudcom.2013.139

Pricing Intelligence as a service (PINaaS) can be seen as the brokerage of user requirements to pricing of available resources in a cloud computing environment. Users of both public and private clouds have to consider the price of services they consu... Read More about Pricing Intelligence as a Service for Cloud Computing.

MVICS: a repository and search tool towards holistic semantic-based precise component selection. (2013)
Journal Article
Liu, X., & Li, C. (2013). MVICS: a repository and search tool towards holistic semantic-based precise component selection. International journal of computers & technology, 5, 144-157

Driven by the continuous expansions of software applications and the increases in component varieties and sizes, the so-called component mismatch problem has become a more severe hurdle for component selection and integration. Although many component... Read More about MVICS: a repository and search tool towards holistic semantic-based precise component selection..

Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal. (2013)
Conference Proceeding
Wang, Z., Chalmers, K., & Liu, X. (2013). Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal.

Model Driven based approach for Service Evolution in Clouds will mainly focus on the reusable evolution patterns' advantage to solve evolution problems. During the process, evolution pattern will be driven by MDA models to pattern aspects. Weaving th... Read More about Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal..

Evolution pattern verification for services evolution in clouds with model driven architecture. (2013)
Journal Article
Wang, Z., Chalmers, K., & Liu, X. (2013). Evolution pattern verification for services evolution in clouds with model driven architecture. International Journal for e-Learning Security, 3, 340-349. https://doi.org/10.20533/ijels.2046.4568.2013.0042

In this paper we will provide some discovered evolution patterns and its detailed underlying constitution components. Following the featured orientated model driven product line engineering approach for service evolution in clouds, an analysis on... Read More about Evolution pattern verification for services evolution in clouds with model driven architecture..

Cloud migration for SMEs in a Service Oriented Approach. (2013)
Conference Proceeding
Nussbaumer, N., & Liu, X. (2013). Cloud migration for SMEs in a Service Oriented Approach. In 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops (COMPSACW),. https://doi.org/10.1109/COMPSACW.2013.71

Cloud computing has gained immense momentum during recent years and has ultimately become a viable solutions not only for larger firms, but also for small and medium-sized enterprises (SMEs). For smaller companies to stay competitive, many have there... Read More about Cloud migration for SMEs in a Service Oriented Approach..

Jabber-based cross-domain efficient and privacy-ensuring context management framework. (2013)
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2013). Jabber-based cross-domain efficient and privacy-ensuring context management framework. International Journal of Advanced Computer Science and Applications, 4, 84

In pervasive environments, context-aware applications require a global knowledge of the context information distributed in different spatial domains in order to establish context-based interactions. Therefore, the design of distributed storage, retri... Read More about Jabber-based cross-domain efficient and privacy-ensuring context management framework..

Evolution pattern for service evolution in clouds. (2012)
Conference Proceeding
Wang, Z., Liu, X., & Chalmers, K. (2012). Evolution pattern for service evolution in clouds. In The 7th International Conference for Internet Technology and Secured Transactions (ICITST-2012)

The proposed research will focus on developing a novel approach to solve Software Service Evolution problems in Computing Clouds. The approach will support dynamic evolution of the software service in clouds via a set of discovered evolution pat... Read More about Evolution pattern for service evolution in clouds..

Software reuse in the emerging cloud computing era. (2012)
Book
Yang, H., & Liu, X. (2012). Software reuse in the emerging cloud computing era. IGI Global Publishing. https://doi.org/10.4018/978-1-4666-0897-9

With the rapid development of computing hardware, high-speed network, web programming, distributed and parallel computing, and other technologies, cloud computing has recently emerged as a commercial reality. Software Reuse in the Emerging Cloud Comp... Read More about Software reuse in the emerging cloud computing era..

Dynamic evolution of service architecture in mobile cloud applications. (2012)
Conference Proceeding
Zhao, H., Sun, J., & Liu, X. (2012). Dynamic evolution of service architecture in mobile cloud applications. In F. Leymann, I. Ivanov, M. van Sinderen, & T. Shan (Eds.), CLOSER 2012 - Proceedings of the 2nd International Conference on Cloud Computing and Services Science (271-274)

A model checking based approach to automatic test suite generation for testing web services and BPEL. (2012)
Conference Proceeding
Zhao, H., Sun, J., & Liu, X. (2012). A model checking based approach to automatic test suite generation for testing web services and BPEL. In Proceedings of IEEE Asia-Pacific Services Computing Conference (61-69). https://doi.org/10.1109/APSCC.2012.29

With the rapid increase of Web Service applications, the reliability of web service and service composition has drawn particular attention from researchers and industries. Many methods for testing and verifying the reliability have been discussed, ho... Read More about A model checking based approach to automatic test suite generation for testing web services and BPEL..

Towards OWL 2 Natively Supported Fuzzy Cloud Ontology (2012)
Conference Proceeding
Fang, D., Liu, X., Romdhani, I., & Zhao, H. (2012). Towards OWL 2 Natively Supported Fuzzy Cloud Ontology. In 6th IEEE International Workshop Quality-Oriented Reuse of Software (IEEE QUORS’12) (328-333). https://doi.org/10.1109/compsacw.2012.66

Cloud Computing introduces a revolutionary paradigm of computing to Service Oriented Architecture (SOA), by provisioning various types of computational resources and applications as on-demand services. While presenting cloud services semantically usi... Read More about Towards OWL 2 Natively Supported Fuzzy Cloud Ontology.

Evolution for the sustainability of Internetware. (2012)
Conference Proceeding
Fang, D., Liu, X., Liu, L., & Yang, H. (2012). Evolution for the sustainability of Internetware. In Proceedings of Internetware'12. https://doi.org/10.1145/2430475.2430492

Along with the green attentions and efforts on energy efficiency of computer hardware and embedded systems, software relevant sustainability issues are becoming increasingly focused, as a part of Green Information Technology (GIT). Undoubtedly, softw... Read More about Evolution for the sustainability of Internetware..

Advanced design approach to emerging software systems - principles, methodologies and tools. (2011)
Book
Liu, X., & Li, Y. (2011). Advanced design approach to emerging software systems - principles, methodologies and tools. IGI Global Publishing. https://doi.org/10.4018/978-1-60960-735-7

Recently, rapid and fundamental advances in computing technologies have been driving the role and scope of software systems to a new level. A number of new types of software systems are emerging, among which service based systems, cloud computing, pe... Read More about Advanced design approach to emerging software systems - principles, methodologies and tools..

A frequency-based maritime container assignment model (2011)
Journal Article
Bell, M. G. H., Angeloudis, P., Liu, X., Fonzone, A., & Hosseinloo, S. H. (2011). A frequency-based maritime container assignment model. Transportation Research Part B: Methodological, 45, 1152-1161. https://doi.org/10.1016/j.trb.2011.04.002

This paper transfers the classic frequency-based transit assignment method of Spiess and Florian to containers demonstrating its promise as the basis for a global maritimecontainerassignmentmodel. In this model, containers are carried by shipping lin... Read More about A frequency-based maritime container assignment model.

Lightweight Software Product Line Based Privacy Protection Scheme for Pervasive Applications (2011)
Conference Proceeding
Jaroucheh, Z., Liu, X., Smith, S., & Zhao, H. (2011). Lightweight Software Product Line Based Privacy Protection Scheme for Pervasive Applications. In 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops (COMPSACW), (351-355). https://doi.org/10.1109/compsacw.2011.65

Protecting user's privacy is one of the main concerns for the deployment of pervasive computing systems in the real world. In pervasive environments, the user context information is naturally distributed among different spatial or logical domains. Ma... Read More about Lightweight Software Product Line Based Privacy Protection Scheme for Pervasive Applications.

An approach to domain-based scalable context management architecture in pervasive environments (2011)
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2012). An approach to domain-based scalable context management architecture in pervasive environments. Personal and Ubiquitous Computing, 16(6), 741-755. https://doi.org/10.1007/s00779-011-0422-0

In pervasive environments, context management systems are expected to administrate large volume of contextual information that is captured from spatial to nonspatial elements. Research in context-aware computing produced a number of middleware system... Read More about An approach to domain-based scalable context management architecture in pervasive environments.

Recognize contextual situation in pervasive environments using process mining techniques (2010)
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2011). Recognize contextual situation in pervasive environments using process mining techniques. Journal of Ambient Intelligence and Humanized Computing, 2(1), 53-69. https://doi.org/10.1007/s12652-010-0038-7

Research in pervasive computing and ambience intelligence aims to enable users to interact with the environment in a context-aware way. To achieve this, a complex set of features describing different aspects of the environment has to be captured and... Read More about Recognize contextual situation in pervasive environments using process mining techniques.

Ontology-based quality attributes prediction in component-based development (2010)
Journal Article
Li, C., Pooley, R., & Liu, X. (2010). Ontology-based quality attributes prediction in component-based development. International journal of computer science & information technology, 2, 12-29. https://doi.org/10.5121/ijcsit.2010.2502

Despite the success that Component-Based Development (CBD) has achieved so far, component mismatch remains as a big obstacle for wider and smoother component reuse. Mismatch refers that the selected component does not satisfy the functional requireme... Read More about Ontology-based quality attributes prediction in component-based development.

Mapping Features to Context Information: Supporting Context Variability for Context-Aware Pervasive Applications (2010)
Conference Proceeding
Jaroucheh, Z., Liu, X., & Smith, S. (2010). Mapping Features to Context Information: Supporting Context Variability for Context-Aware Pervasive Applications. In Proceedings of IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2010) (611-614). https://doi.org/10.1109/wi-iat.2010.25

Context-aware computing is widely accepted as a promising paradigm to enable seamless computing. Several middlewares and ontology-based models for describing context information have been developed in order to support context-aware applications. Howe... Read More about Mapping Features to Context Information: Supporting Context Variability for Context-Aware Pervasive Applications.

Apto: A MDD-Based Generic Framework for Context-Aware Deeply Adaptive Service-Based Processes (2010)
Conference Proceeding
Jaroucheh, Z., Liu, X., & Smith, S. (2010). Apto: A MDD-Based Generic Framework for Context-Aware Deeply Adaptive Service-Based Processes. In Proceedings of The 8th IEEE International Conference on Web Services (ICWS’10) (219-226). https://doi.org/10.1109/icws.2010.16

Context-awareness and adaptability are important and desirable properties of service-based processes designed to provide personalized services. Most of the existing approaches focus on the adaptation at the process instance level [1] which involves e... Read More about Apto: A MDD-Based Generic Framework for Context-Aware Deeply Adaptive Service-Based Processes.

CANDEL: Product Line Based Dynamic Context Management for Pervasive Applications (2010)
Conference Proceeding
Jaroucheh, Z., Liu, X., & Smith, S. (2010). CANDEL: Product Line Based Dynamic Context Management for Pervasive Applications. In CICIS'10 Proceedings (209-216). https://doi.org/10.1109/cisis.2010.21

In a pervasive environment, it is essential for computing applications to be context-aware. However, one of the major challenges is the establishment of a generic and dynamic context model. Many different approaches to modeling the context exist, but... Read More about CANDEL: Product Line Based Dynamic Context Management for Pervasive Applications.

A Perspective on Middleware-Oriented Context-Aware Pervasive Systems (2009)
Conference Proceeding
Jaroucheh, Z., Liu, X., & Smith, S. (2009). A Perspective on Middleware-Oriented Context-Aware Pervasive Systems. In Proceedings - International Computer Software and Applications Conference (249-254). https://doi.org/10.1109/compsac.2009.142

The evolving concepts of mobile computing, context-awareness, and ambient intelligence are increasingly influencing user's experience of services. Therefore, the goal of this paper is to provide an overview of recent developments and implementations... Read More about A Perspective on Middleware-Oriented Context-Aware Pervasive Systems.

A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval (2009)
Conference Proceeding
Li, C., Liu, X., & Kennedy, J. (2009). A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval. In S. Abrahão, J. Verner, T. Jiang, A. Kiumi, T. Kim, & D. Ślęzak (Eds.), Advances in Software Engineering. ASEA 2009 (50-60). https://doi.org/10.1007/978-3-642-10619-4_7

Despite the success that Component-Based Development has achieved so far, component mismatch remains as a major hurdle for wider and smoother component reuse due to the lack of effective and automated approaches to component specification and retriev... Read More about A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval.

A Sustainable Service-Oriented B2C Framework for Small Businesses (2008)
Conference Proceeding
Liu, X., & Ye, H. (2008). A Sustainable Service-Oriented B2C Framework for Small Businesses. In J. Lee, D. Liang, & Y. C. Cheng (Eds.), The Fourth IEEE International Symposium on Service-Oriented System Engineering (281-286). https://doi.org/10.1109/sose.2008.14

Electronic commerce is fast expanding all over the world. Currently most B2C (business to customer) electronic commerce focuses on retailing and other online services, such as online banking. Compared with large-scale enterprises and organizations, s... Read More about A Sustainable Service-Oriented B2C Framework for Small Businesses.

Generative aspect-oriented component adaptation (2008)
Journal Article
Feng, Y., Liu, X., Liu, X., Feng, Y., & Kerridge, J. (2008). Generative aspect-oriented component adaptation. IET Software, 2(2), 149. https://doi.org/10.1049/iet-sen%3A20070049

As a solution to eliminating component mismatches, a generative aspect- oriented approach to component adaptation is presented. The approach enjoys high level of automation and capability of deep level adaptation, which is achieved in an aspect-orien... Read More about Generative aspect-oriented component adaptation.

Semantics-Based Component Repository: State of Arts and a Calculation Rating Factor-based Framework. (2008)
Conference Proceeding
Li, C., Liu, X., & Kennedy, J. (2008). Semantics-Based Component Repository: State of Arts and a Calculation Rating Factor-based Framework. In Proceedings of Computer Software and Applications Conference (751-756). https://doi.org/10.1109/COMPSAC.2008.40

Nowadays, Component-Based Development (CBD) has been widely used in software engineering. As a core activity in the CBD process, component retrieval has attracted extensive research attention. Despite the research efforts so far, one major problem st... Read More about Semantics-Based Component Repository: State of Arts and a Calculation Rating Factor-based Framework..

A new multicast algorithm for wireless mesh networks. (2008)
Conference Proceeding
Zhao, L., Al-Dubai, A., & Liu, X. (2008). A new multicast algorithm for wireless mesh networks. In 9th Annual Postgraduate Symposium, The Convergence of Telecommunications, Networking and Broadcasting

Wireless mesh networks, also known as “community wireless networks”, have been attracting much attention due to its promising technology. It is becoming a major avenue for the fourth generation of wireless mobility. This is due to the revaluation of... Read More about A new multicast algorithm for wireless mesh networks..

Automated responsive web services evolution through generative aspect-oriented component adaptation (2008)
Journal Article
Liu, X., Feng, Y., & Kerridge, J. (2008). Automated responsive web services evolution through generative aspect-oriented component adaptation. International Journal of Computer Applications in Technology, 31(1/2), 83-93. https://doi.org/10.1504/IJCAT.2008.017721

When building service oriented systems, it is often the case that existing web services do not perfectly match user requirements in target systems. To achieve smooth integration and high reusability of web services, mechanisms to support automated ev... Read More about Automated responsive web services evolution through generative aspect-oriented component adaptation.

Quality metrics for internet applications: developing new from old. (2007)
Conference Proceeding
Zhou, S., & Liu, X. (2007). Quality metrics for internet applications: developing new from old. . https://doi.org/10.1109/COMPSAC.2007.176

This discussion concerns ?metrics?. More specifically, we discuss quantitative metrics for evaluating Internet applications: what should we quantify, monitor and analyse in order to characterise, evaluate and develop Internet applications based on re... Read More about Quality metrics for internet applications: developing new from old..

A product line based aspect-oriented generative unit testing approach to building quality components (2007)
Conference Proceeding
Feng, Y., Liu, X., & Kerridge, J. (2007). A product line based aspect-oriented generative unit testing approach to building quality components. In 31st Annual International Computer Software and Applications Conference (COMPSAC 2007) (403-408). https://doi.org/10.1109/compsac.2007.35

The quality of component-based systems highly depends on how effectively testing is carried out. To achieve the maximal testing effectiveness, this paper presents a product line based aspect oriented approach to unit testing. The aspect product l... Read More about A product line based aspect-oriented generative unit testing approach to building quality components.

Achieving dependable component-based systems through generative aspect oriented component adaptation. (2006)
Conference Proceeding
Liu, X., Feng, Y., & Kerridge, J. (2006). Achieving dependable component-based systems through generative aspect oriented component adaptation. In Proceedings of the 30th Annual International Computer Software and Applications Conference (45-48). https://doi.org/10.1109/COMPSAC.2006.106

Mismatches between pre-qualified existing components and the particular reuse context in applications are often inevitable and have been a major hurdle of component reusability and smooth composition. Although component adaptation has acted as a key... Read More about Achieving dependable component-based systems through generative aspect oriented component adaptation..

Mining and Sharing Heterogeneous E-Marketing Intelligence - A Universal Metadata-Based Approach (2006)
Conference Proceeding
Teng, G., Su, H., Liu, X., & Wang, T. (2006). Mining and Sharing Heterogeneous E-Marketing Intelligence - A Universal Metadata-Based Approach. In First International Conference on Innovative Computing, Information and Control, 2006. ICICIC '06. https://doi.org/10.1109/icicic.2006.309

Despite the emergent business needs and technical efforts by both industrial and research communities, e-business market intelligence (EMI) still faces many obstacles hindering its successful mining, deployment and sharing, including lack of scaleabl... Read More about Mining and Sharing Heterogeneous E-Marketing Intelligence - A Universal Metadata-Based Approach.

Achieving smooth component integration with generative aspects and component adaptation. (2006)
Conference Proceeding
Feng, Y., Liu, X., & Kerridge, J. (2006). Achieving smooth component integration with generative aspects and component adaptation. In M. Morisio (Ed.), Re-Use of Off-the-shelf Components: 9th International Conference on Software Reuse (260-272). https://doi.org/10.1007/11763864_19

Due to the availability of components and the diversity of target applications, mismatches between pre-qualified existing components and the particular reuse context in applications are often inevitable and have been a major hurdle of component reusa... Read More about Achieving smooth component integration with generative aspects and component adaptation..

Scenario based generative component adaptation in .NET framework (2005)
Conference Proceeding
Wang, B., Xiaodong Liu, X., Kerridge, J., & Li, Y. (2005). Scenario based generative component adaptation in .NET framework. In Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004 (73-78). https://doi.org/10.1109/iri.2004.1431439

Mismatches between pre-quaZi$ed existing components and the particular reuse context in applicutions have been a major factor hindering component reusability. Although component adaptation has octed as a key solution of eliminating these mismatch... Read More about Scenario based generative component adaptation in .NET framework.

Achieving seamless component composition through scenario-based deep adaptation and generation (2005)
Journal Article
Liu, X., Wang, B. H. (., & Kerridge, J. (2005). Achieving seamless component composition through scenario-based deep adaptation and generation. Science of Computer Programming, 56(1-2), 157-170. https://doi.org/10.1016/j.scico.2004.11.010

Mismatches between pre-qualified existing components and the particular reuse context in applications have been a major factor hindering component reusability and successful composition. Although component adaptation has acted as a key solution of el... Read More about Achieving seamless component composition through scenario-based deep adaptation and generation.

Scenario based generative component adaptation in .Net framework. (2004)
Conference Proceeding
Wang, B. H. (., Liu, X., Kerridge, J., & Li, Y. (2004). Scenario based generative component adaptation in .Net framework. In Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 (73-78)

Mismatches between pre-quaZi$ed existing components and the particular reuse context in applicutions have been a major factor hindering component reusability. Although component adaptation has octed as a key solution of eliminating these mismatch... Read More about Scenario based generative component adaptation in .Net framework..

Achieving flexible reuse through scenario-based deep component adaptation and generation. (2003)
Conference Proceeding
Wang, B. H. (., Liu, X., & Kerridge, J. (2003). Achieving flexible reuse through scenario-based deep component adaptation and generation. In Software Engineering and Applications (SEA'03) (397)

Mismatches between pre-qualified existing components and the particular reuse context in applications have been a major factor hindering component reusability. Component adaptation is a key solution to the elimination of these mismatches. However, de... Read More about Achieving flexible reuse through scenario-based deep component adaptation and generation..

Facilitating reuse in database applications with scenario-based component adaptation and generation (2003)
Conference Proceeding
Wang, B., Liu, X., & Kerridge, J. (2003). Facilitating reuse in database applications with scenario-based component adaptation and generation. In Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications (527-534). https://doi.org/10.1109/iri.2003.1251461

The development of database application systems will beneft from high reusabiliiy because similar design circumstances recur frequently in database developments. However, research has shown that mismatches between pre-qualified components with th... Read More about Facilitating reuse in database applications with scenario-based component adaptation and generation.

A generative and component based approach to reuse in database applications. (2003)
Conference Proceeding
Wang, B. H. (., Liu, X., & Kerridge, J. (2003). A generative and component based approach to reuse in database applications. In 5th Generative Programming and Component Engineering Young Researcher Workshop

The development of database application systems will benefit from high reusability because similar design circumstances recur frequently in database developments. However, research in software reuse has shown that mismatches of components with the... Read More about A generative and component based approach to reuse in database applications..

Reverse engineering. (2002)
Book Chapter
Chu, W., Lu, C., Chang, C., Liu, X., & Yang, H. (2002). Reverse engineering. In S. K. Chang (Ed.), Handbook of Software Engineering & Knowledge Engineering (447-466). World Scientific

Software systems have become business-critical for many companies. These systems are usually large and complex. Some have evolved over decades and therefore are known as legacy systems. These legacy systems need to be maintained and evolved due to ma... Read More about Reverse engineering..

A pattern-based framework for database reusability (2002)
Conference Proceeding
Wang, B., Liu, X., & Kerridge, J. (2002). A pattern-based framework for database reusability. In Software Engineering Research and Practices International Conference Las Vegas 2002 Proceedings : SERP 2002 (572-578)

The development of database application systems will benefit from high reusability because similar design circumstances recur frequently in database developments. This paper presents a framework to cope with design reuse in database environments. The... Read More about A pattern-based framework for database reusability.

Support software evolution with abstraction rules and program knowledge patterns. (2002)
Journal Article
Teng, G., & Liu, X. (2002). Support software evolution with abstraction rules and program knowledge patterns. Asian-information-science-life, 1, 177-189

This paper advocates that reengineering is an effective means of legacy system evolution. Extracting formal specification semantically consistent to the original legacy system will facilitate further redesign and forward engineering greatly. The key... Read More about Support software evolution with abstraction rules and program knowledge patterns..

Speed and scale up software re-engineering with abstraction patterns and rules. (2000)
Conference Proceeding
Liu, X., Yang, H., Zedan, H., & Cau, A. (2000). Speed and scale up software re-engineering with abstraction patterns and rules. In International Symposium on Principles of Software Evolution, 2000. Proceedings (90). https://doi.org/10.1109/ISPSE.2000.913226

Software reengineering is an essential part of software evolution. Two important issues faced by software reengineering techniques are the time involved and the ability to cope with the scale of software systems. Unless these two issues have been add... Read More about Speed and scale up software re-engineering with abstraction patterns and rules..

Abstraction: a key notation for reverse engineering in a system re-engineering approach. (2000)
Journal Article
Yang, H., Liu, X., & Zedan, H. (2000). Abstraction: a key notation for reverse engineering in a system re-engineering approach. Journal of Software: Evolution and Process, 12, 197-228. https://doi.org/10.1002/1096-908X%28200007/08%2912%3A43.0.CO%3B2-X

This paper advocates that extracting formal specification semantically consistent to the original legacy system will facilitate further redesign and forward engineering greatly. The three parts of reengineering could be integrated on the basis of a w... Read More about Abstraction: a key notation for reverse engineering in a system re-engineering approach..

On the assessment of re-engineering tools. (1999)
Conference Proceeding
Liu, X., Yang, H., & Zedan, H. (1999). On the assessment of re-engineering tools. In WESS '99 - Workshop on Empirical Studies in Software Maintenance

A refinement calculus for the development of real-time systems. (1998)
Conference Proceeding
Chen, Z., Cau, A., Zedan, H., Liu, X., & Yang, H. (1998). A refinement calculus for the development of real-time systems. In 5th Asia Pacific Software Engineering Conference, APSEC '98 (61). https://doi.org/10.1109/APSEC.1998.733588

We present a calculus which can transfer specifications to objects for the development of real-time systems. The object model is based on a practical OO development technique—HRT-HOOD. A real-time logic is specified by extending a sound formal me... Read More about A refinement calculus for the development of real-time systems..

Improving maintenance through development experiences. (1998)
Conference Proceeding
Liu, X., Yang, H., & Zedan, H. (1998). Improving maintenance through development experiences. In WESS '98 - Workshop on Empirical Studies in Software Maintenance (1-5)

An empirical comparison is made between present approaches/tools of software maintenance and development. The conclusion is that development technology is more mature in many aspects, such as automation, formalism, confidence, understanding of origin... Read More about Improving maintenance through development experiences..

Tackling the abstraction problem for reverse engineering in a system re-engineering approach. (1998)
Conference Proceeding
Yang, H., Liu, X., & Zedan, H. (1998). Tackling the abstraction problem for reverse engineering in a system re-engineering approach. In the proceedings of the IEEE Conference on Software Maintenance (ICSM'98) (284). https://doi.org/10.1109/ICSM.1998.738520

It is widely accepted that reverse engineering has three components: restructuring, comprehension and production of formal specification. In this paper, we advocate that the three components could be achieved in a systematic approach by successfully... Read More about Tackling the abstraction problem for reverse engineering in a system re-engineering approach..

A design framework for system re-engineering. (1997)
Conference Proceeding
Liu, X., Chen, Z., Yang, H., Zedan, H., & Chu, W. (1997). A design framework for system re-engineering. In APSEC'97/ICSC'97 - Fourth Asia-Pacific Software Engineering and International Computer Science Conference (342-352). https://doi.org/10.1109/APSEC.1997.640191

We discuss the current situation of formal methods and their use in the re-engineering of computing systems, especially real time systems. Based on the analysis result, a solution which uses a consistent 4-sector Wide Spectrum Language (WSL) is propo... Read More about A design framework for system re-engineering..

Formal methods for the re-engineering of computing systems. (1997)
Conference Proceeding
Liu, X., Yang, H., & Zedan, H. (1997). Formal methods for the re-engineering of computing systems. In COMPSAC '97-21st International Computer Software and Applications Conference (409-414). https://doi.org/10.1109/CMPSAC.1997.625024

This paper presents a short review of formal methods and their use in the re-engineering of computing systems. Five classes of formal notations and theories, namely state/model-based, logic-based, algebraic-based, process algebra and net-based formal... Read More about Formal methods for the re-engineering of computing systems..