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Social and Behavioral Sciences Commons™
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Articles 1 - 7 of 7
Full-Text Articles in Social and Behavioral Sciences
Data Privacy And System Security For Banking And Financial Services Industry Based On Cloud Computing Infrastructure, Abhishek Mahalle, Jianming Yong, Xiaohui Tao, Jun Shen
Data Privacy And System Security For Banking And Financial Services Industry Based On Cloud Computing Infrastructure, Abhishek Mahalle, Jianming Yong, Xiaohui Tao, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.
Experimental Performance Analysis And Evaluation Of A Novel Frost-Free Air Source Heat Pump System, Zhihua Wang, Fenghao Wang, Zhenjun Ma, Mengjie Song, Wenke Fan
Experimental Performance Analysis And Evaluation Of A Novel Frost-Free Air Source Heat Pump System, Zhihua Wang, Fenghao Wang, Zhenjun Ma, Mengjie Song, Wenke Fan
Faculty of Engineering and Information Sciences - Papers: Part B
To tackle the problem of frosting occurred on the outdoor coil surface when an air source heat pump (ASHP) is operated in winter, a novel frost-free ASHP system has been developed. However, the dehumidification performance and the frost-free time of the system operated are highly dependent on the electronic expansion valve (EEV) opening of the 1st stage throttle. In addition, the coefficient of performance (COP) of the systems is controlled by the EEV opening of the 2nd stage throttle. Therefore, the objective of this study is to investigate the effect of the EEV opening on the system thermodynamic performance in …
Mlaas: A Cloud-Based System For Delivering Adapative Micro Learning In Mobile Mooc Learning, Geng Sun, Tingru Cui, Jianming Yong, Jun Shen, Shiping Chen
Mlaas: A Cloud-Based System For Delivering Adapative Micro Learning In Mobile Mooc Learning, Geng Sun, Tingru Cui, Jianming Yong, Jun Shen, Shiping Chen
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.
Formulation Of A Model Predictive Control Algorithm To Enhance The Performance Of A Latent Heat Solar Thermal System, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Paul Cooper, Marco Perino
Formulation Of A Model Predictive Control Algorithm To Enhance The Performance Of A Latent Heat Solar Thermal System, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Paul Cooper, Marco Perino
Faculty of Engineering and Information Sciences - Papers: Part B
Model predictive control has proved to be a promising control strategy for improving the operational performance of multi-source thermal energy generation systems with the aim of maximising the exploitation of on-site renewable resources. This paper presents the formulation and implementation of a model predictive control strategy for the management of a latent heat thermal energy storage unit coupled with a solar thermal collector and a backup electric heater. The system uses an innovative Phase Change Material slurry for both the heat transfer fluid and storage media. The formulation of a model predictive controller of such a closed-loop solar system is …
Model Predictive Control (Mpc) For Enhancing Building And Hvac System Energy Efficiency: Problem Formulation, Applications And Opportunities, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Daniele Bernardini, Alberto Bemporad
Model Predictive Control (Mpc) For Enhancing Building And Hvac System Energy Efficiency: Problem Formulation, Applications And Opportunities, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Daniele Bernardini, Alberto Bemporad
Faculty of Engineering and Information Sciences - Papers: Part B
In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community. MPC is becoming more and more viable because of the increase in computational power of building automation systems and the availability of a significant amount of monitored building data. MPC has found successful implementation in building thermal regulation, fully exploiting the potential of building thermal mass. Moreover, MPC has been positively applied to active energy storage systems, as well as to the optimal management of on-site renewable energy sources. MPC also opens up several opportunities …
A System Model For Personalized Medication Management (Mymediman)-The Consumers' Point Of View, Elena Vlahu-Gjorgievska, Khin Than Win, Willy Susilo
A System Model For Personalized Medication Management (Mymediman)-The Consumers' Point Of View, Elena Vlahu-Gjorgievska, Khin Than Win, Willy Susilo
Faculty of Engineering and Information Sciences - Papers: Part B
In this paper, we propose a design for a personalized medication management system model MyMediMan that provides medication information for different stakeholders. The focus of the paper is on the system's features and personalized information provided for the consumers as primary users of the proposed solution. The presented design introduces the consumers to different aspects of the medications they take and their overall health condition. The personalized information should increase the consumers' awareness about the positive benefits of taking the medications as well as the consequences that particular medication can have on their health condition. By obtaining this information, the …
Parsimonious Network Based On A Fuzzy Inference System (Panfis) For Time Series Feature Prediction Of Low Speed Slew Bearing Prognosis, Wahyu Caesarendra, Mahardhika Pratama, Buyung Kosasih, Tegoeh Tjahjowidodo, Adam Glowacz
Parsimonious Network Based On A Fuzzy Inference System (Panfis) For Time Series Feature Prediction Of Low Speed Slew Bearing Prognosis, Wahyu Caesarendra, Mahardhika Pratama, Buyung Kosasih, Tegoeh Tjahjowidodo, Adam Glowacz
Faculty of Engineering and Information Sciences - Papers: Part B
In recent years, the utilization of rotating parts, e.g., bearings and gears, has been continuously supporting the manufacturing line to produce a consistent output quality. Due to their critical role, the breakdown of these components might significantly impact the production rate. Prognosis, which is an approach that predicts the machine failure, has attracted significant interest in the last few decades. In this paper, the prognostic approaches are described briefly and advanced predictive analytics, namely a parsimonious network based on a fuzzy inference system (PANFIS), is proposed and tested for low speed slew bearing data. PANFIS differs itself from conventional prognostic …