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A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task

Conference Proceeding
Mackamul, E. B., & Esteves, A. (2018)
A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task. In SUI '18 Symposium on Spatial User Interactionhttps://doi.org/10.1145/3267782.3267793
This paper presents a comparative study between two popular AR systems during a collocated collaborative task. The goal of the study is to start a body of knowledge that descr...

NetHost-sensor: Monitoring a target host's application via system calls

Journal Article
Abimbola, A., Munoz, J., & Buchanan, W. (2006)
NetHost-sensor: Monitoring a target host's application via system calls. Information Security Technical Report, 11(4), 166-175. https://doi.org/10.1016/j.istr.2006.10.003
Intrusion detection has emerged as an important approach to network, host and application security. Network security includes analysing network packet payload and other inert ...

An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes

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 allocatio...

Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models

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. doi: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, the...

The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University

Journal Article
Binyamin, S. S., Rutter, M. J., & Smith, S. (2018)
The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University. International journal of information and education technology (IJIET), 8(10), 693-699. https://doi.org/10.18178/ijiet.2018.8.10.1124
Technology acceptance model (TAM) has been a standout amongst the most well-known models in understanding the users’ acceptance of technologies. This study develops a model to...

Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop

Journal Article
Babar, M., Arif, F., Jan, M. A., Tan, Z., & Khan, F. (2019)
Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop. Future Generation Computer Systems, 96, 398-409. https://doi.org/10.1016/j.future.2019.02.035
The unbroken amplfi cation of a versatile urban setup is challenged by huge Big Data processing. Understanding the voluminous data generated in a smart urban environment for d...

Web engineering for the evaluation of large complex web systems: methodologies in web metrics

Thesis
Zahran, D. I. Web engineering for the evaluation of large complex web systems: methodologies in web metrics. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/978652
Roaming the Internet, users sometimes encounter severe problems or feel dissatisfied using a particular site. E-government websites are the public gateways to access informati...

A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction

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 ...

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection

Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press)
Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7
Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component ...

A Cognitive-IoE Approach to Ambient-intelligent Smart Home

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...