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Outputs (182)

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.

Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction (2019)
Journal Article
Lowe, I., Buchanan, W. J., Macfarlane, R., & Lo, O. (2019). Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction. Journal of Networking Technology, 10(4), 124-155. https://doi.org/10.6025/jnt/2019/10/4/124-155

Bluetooth is a short-range wireless technology that provides audio and data links between personal smartphones and playback devices, such as speakers, headsets and car entertainment systems. Since its introduction in 2001, security researchers have s... Read More about Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction.

Photo-Realistic Facial Details Synthesis from Single Image (2019)
Presentation / Conference Contribution
Chen, A., Chen, Z., Zhang, G., Zhang, Z., Mitchell, K., & Yu, J. (2019, October). Photo-Realistic Facial Details Synthesis from Single Image. Presented at 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea

We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our technique employs expression analysis for proxy face geometry generation and combines supervised and uns... Read More about Photo-Realistic Facial Details Synthesis from Single Image.

An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia (2019)
Journal Article
Alshehri, A., Rutter, M. J., & Smith, S. (2019). An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia. International Journal of Distance Education Technologies, 17(3), 1-24. https://doi.org/10.4018/IJDET.2019070101

The rapid growth of e-learning around the globe is inspiring various academic institutions to adopt it. Uptake is motivated by convincing benefits such as flexibility, accessibility and the management of course delivery and educational materials. In... Read More about An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia.

Using a longitudinal focus group methodology to measure the value and impact of public libraries (2019)
Presentation / Conference Contribution
Appleton, L., Duff, A. S., Hall, H., & Raeside, R. (2017, July). Using a longitudinal focus group methodology to measure the value and impact of public libraries. Presented at 12th International Conference on Performance Measurement in Libraries

Introduction
There is a general acceptance that public libraries contribute to ‘community’, and at least have the potential to have a very positive impact on civil society. (Varheim, 2007). This ‘impact’ is longitudinal, or ongoing, in that library... Read More about Using a longitudinal focus group methodology to measure the value and impact of public libraries.

PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing (2019)
Journal Article
Zhu, R., Yu, T., Tan, Z., Du, W., Zhao, L., Li, J., & Xia, X. (2020). PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing. IEEE Access, 8, 1475-1485. https://doi.org/10.1109/ACCESS.2019.2962066

Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has been studied over 10 years. The key of supporting outlier detection is to construct a neighbour-list for each object. It is used for... Read More about PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing.

The current status of smart city research: exposing the division (2019)
Book Chapter
Mora, L., Reid, A., & Margarita, A. (2019). The current status of smart city research: exposing the division. In N. Komninos, & C. Kakderi (Eds.), Smart Cities in the Post-algorithmic Era: Integrating Technologies, Platforms and Governance (17-35). Edward Elgar Publishing

Build, manage and evaluate: information practices and personal reputations on social media platforms (2019)
Presentation / Conference Contribution
Lawson, A., Ryan, F. V., Cruickshank, P., & Hall, H. (2019, June). Build, manage and evaluate: information practices and personal reputations on social media platforms. Presented at Tenth International Conference on Conceptions of Library and Information Science, Ljubljana, Slovenia

Introduction.
The broad theme of this paper is the use of information to build, manage and evaluate personal reputations. It reports the findings of a study that considered the extent to which social media users replicate in online environments the... Read More about Build, manage and evaluate: information practices and personal reputations on social media platforms.

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.

Use of ubiquitous real-time bus passenger information (2019)
Journal Article
Islam, M. F., Fonzone, A., MacIver, A., & Dickinson, K. (2020). Use of ubiquitous real-time bus passenger information. IET Intelligent Transport Systems, 14(3), 139-147. https://doi.org/10.1049/iet-its.2019.0324

Ubiquitous real-time passenger information (URTPI) enhances the perceived quality of service of public transport and enables travellers to make better pre-trip and en-route travel choices. The paper presents an exploratory study of the use of URTPI.... Read More about Use of ubiquitous real-time bus passenger information.

A Multi-attributes-based Trust Model of Internet of Vehicle (2019)
Presentation / Conference Contribution
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019, December). A Multi-attributes-based Trust Model of Internet of Vehicle. Presented at 13th International Conference on Network and System Security, Sapporo, Japan

Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establish a trustworthy mechanism. Through transmission and dissemination of trust,... Read More about A Multi-attributes-based Trust Model of Internet of Vehicle.

Near-Data Prediction Based Speculative Optimization in a Distribution Environment (2019)
Presentation / Conference Contribution
Sun, M., Wu, X., Jin, D., Xu, X., Liu, Q., & Liu, X. (2019, December). Near-Data Prediction Based Speculative Optimization in a Distribution Environment. Presented at 9th EAI International Conference on Cloud Computing (CloudComp 2019), Sydney, Australia

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.

Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies (2019)
Presentation / Conference Contribution
Sun, M., Michael Kamoto, K., Liu, Q., Liu, X., & Qi, L. (2019, December). Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies. Presented at 9th EAI International Conference on Cloud Computing (CloudComp 2019), Sydney, Australia

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.

Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication (2019)
Journal Article
Hawbani, A., Torbosh, E., Wang, X., Sincak, P., Zhao, L., & Al-Dubai, A. (2021). Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication. IEEE Transactions on Fuzzy Systems, 29(3), 612-626. https://doi.org/10.1109/tfuzz.2019.2957254

This paper modeled the multihop data-routing in Vehicular Ad-hoc Networks(VANET) as Multiple Criteria Decision Making (MCDM) in four steps. First, the criteria which have an impact on the performance of the network layer are captured and transformed... Read More about Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication.

Dolorosa Sinaga: Tubuh, Bentuk dan Substansi - Analisa, Asal-Usul Artistik dan Arsip (2019)
Book
Supartono, A., & Karsono, S. (Eds.). (2019). Dolorosa Sinaga: Tubuh, Bentuk dan Substansi - Analisa, Asal-Usul Artistik dan Arsip. Jakarta Art Institute Press

Dolorosa Sinaga: Body, Form, Matter brings together 40 years of work explored through inter-disciplinary readings. Dolorosa Sinaga (b. 1953) is one of the most accomplished, celebrated and intriguing figures in Indonesian contemporary art scene. Dolo... Read More about Dolorosa Sinaga: Tubuh, Bentuk dan Substansi - Analisa, Asal-Usul Artistik dan Arsip.

A Novel Trust Evaluation Process for Secure Localization using a Decentralized Blockchain in Wireless Sensor Networks (2019)
Journal Article
Kim, T.-H., Goyat, R., Rai, M. K., Kumar, G., Buchanan, W. J., Saha, R., & Thomas, R. (2019). A Novel Trust Evaluation Process for Secure Localization using a Decentralized Blockchain in Wireless Sensor Networks. IEEE Access, 7, 184133-184144. https://doi.org/10.1109/access.2019.2960609

In this research paper, blockchain-based trust management model is proposed to enhance trust relationship among beacon nodes and to eradicate malicious nodes in Wireless Sensor Networks (WSNs). This composite trust evaluation involves behavioral-base... Read More about A Novel Trust Evaluation Process for Secure Localization using a Decentralized Blockchain in Wireless Sensor Networks.

Stories Beyond Matter: Catalogue, Gallery, Anthology, and Biography (2019)
Book Chapter
Supartono, A. (2019). Stories Beyond Matter: Catalogue, Gallery, Anthology, and Biography. In Dolorosa Sinaga: Body, Form, Matter (10-39). Jakarta Art Institute Press

Supartono, A. (2019). Stories Beyond Matter: Catalogue, Gallery, Anthology, and Biography. In Dolorosa Sinaga: Body, Form, Matter (10-39). Jakarta, Indonesia: Jakarta Art Institute Press.