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All Outputs (91)

Towards Building a Smart Water Management System (SWAMS) in Nigeria (2024)
Conference Proceeding
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (in press). Towards Building a Smart Water Management System (SWAMS) in Nigeria.

The water management landscape in Nigeria struggles with formidable obstacles characterized by a lack of adequate infrastructure, an uneven distribution of resources, and insufficient access to clean water, particularly in rural areas. These challeng... Read More about Towards Building a Smart Water Management System (SWAMS) in Nigeria.

PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping (2023)
Conference Proceeding
Wang, Z., Liu, Q., & Liu, X. (2023). PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping. In 2023 IEEE Smart World Congress (SWC). https://doi.org/10.1109/SWC57546.2023.10449141

The rapid growth of private data from distributed edge networks, driven by the proliferation of IoT sensors, wearable devices, and smartphones, offers significant opportunities for AI applications. However, traditional distributed machine learning me... Read More about PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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 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

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.