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Full-Text Articles in Science and Technology Studies
A Blockchain Based System For Safe Vaccine Supply And Supervision, Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou
A Blockchain Based System For Safe Vaccine Supply And Supervision, Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou
Faculty of Engineering and Information Sciences - Papers: Part B
Immunization is an indispensable mechanism for preventing infectious diseases in modern society, and vaccine safety is closely related to public health and national security. However, issues such as vaccine expiration and vaccine record fraud are still widespread in vaccine supply chains. Therefore, an effective management system for the supervision of vaccine supply chains is urgently required. As the next generation of core technology after the Internet, blockchain is designed to build trust mechanisms that can change current information management methods. Meanwhile, the development of machine learning technologies provides additional ways to analyze the data in information management systems. The main …
Coupled Modelling And Advanced Control For Smooth Operation Of A Grid Connected Linear Electric Generator Based Wave-To-Wire System, Safdar Rasool, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto
Coupled Modelling And Advanced Control For Smooth Operation Of A Grid Connected Linear Electric Generator Based Wave-To-Wire System, Safdar Rasool, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto
Faculty of Engineering and Information Sciences - Papers: Part B
The perpetual oscillations of ocean waves produce potential energy, which can be converted to electrical energy with the help of direct drive linear generators. The fluctuating generated power poses a major challenge when it is supplied to the power grid. In this paper, a supercapacitor provides the short-term energy storage to buffer and smooth out the power fluctuations. A new coupled model of a wave energy converter and a linear generator is proposed for its response characterization under varying system conditions. The developed model and an advanced control strategy is used to exhibit a smooth and stable operation of the …
Attention-Based High-Order Feature Interactions To Enhance The Recommender System For Web-Based Knowledge-Sharing Servic, Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen
Attention-Based High-Order Feature Interactions To Enhance The Recommender System For Web-Based Knowledge-Sharing Servic, Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen
Faculty of Engineering and Information Sciences - Papers: Part B
Providing personalized online learning services has become a hot research topic. Online knowledge-sharing services represents a popular approach to enable learners to use fragmented spare time. User asks and answers questions in the platform, and the platform also recommends relevant questions to users based on their learning interested and context. However, in the big data era, information overload is a challenge, as both online learners and learning resources are embedded in data rich environment. Offering such web services requires an intelligent recommender system to automatically filter out irrelevant information, mine underling user preference, and distil latent information. Such a recommender …
Experimental Investigation And Modeling Of The Transformation Of Illicit Drugs In A Pilot-Scale Sewer System, Jiaying Li, Jianfa Gao, Phong K. Thai, Adam Shypanski, Ludwika Nieradzik, Jochen F. Mueller, Zhiguo Yuan, Guangming Jiang
Experimental Investigation And Modeling Of The Transformation Of Illicit Drugs In A Pilot-Scale Sewer System, Jiaying Li, Jianfa Gao, Phong K. Thai, Adam Shypanski, Ludwika Nieradzik, Jochen F. Mueller, Zhiguo Yuan, Guangming Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
In-sewer stability of illicit drug biomarkers has been evaluated by several reactor-based studies, but less has beendone in sewer pipes. Experiments conducted in sewer pipes have advantages over lab-scale reactors in providing more realisticbiomarker stability due to theflow and biological dynamics. This study assessed the transportation and transformation of sevenillicit drug biomarker compounds in a pilot-scale rising main and a gravity sewer pipe. Biomarkers presented diverse stabilitypatterns in the pilot sewers, based on which a drug transformation model was calibrated. This model was subsequently validatedusing transformation data sets from the literature, aiming to demonstrate the predictability of the pilot-based transformationcoefficients …
Study On Performance Evaluation Of Co2 Heat Pump System Integrated With Thermal Energy Storage For Space Heating, Zhihua Wang, Yuxin Zheng, Fenghao Wang, Mengjie Song, Zhenjun Ma
Study On Performance Evaluation Of Co2 Heat Pump System Integrated With Thermal Energy Storage For Space Heating, Zhihua Wang, Yuxin Zheng, Fenghao Wang, Mengjie Song, Zhenjun Ma
Faculty of Engineering and Information Sciences - Papers: Part B
CO2 heat pumps have drawn a great deal of attention owing to their advantages of high efficiency and environmental friendly for heating water under low ambient temperature. However, the system performance is not desirable and shows a lower COP for space heating, especially for a radiator as heating terminal, due to the higher inlet water temperature at the gas cooler, which causes a large throttle loss when the refrigerant flow through the throttling device. To tackle this issue, a transcritical CO2 heat pump system integrated with thermal energy storage (TES) systems was developed in this paper. The heating performance of …
Towards A General Prediction System For The Primary Delay In Urban Railways, Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun
Towards A General Prediction System For The Primary Delay In Urban Railways, Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun
Faculty of Engineering and Information Sciences - Papers: Part B
Nowadays a large amount of data is collected from sensor devices across the cyber-physical networks. Accurate and reliable primary delay predictions are essential for rail operations management and planning. However, very few existing 'big data' methods meet the specific needs in railways. We propose a comprehensive and general data-driven Primary Delay Prediction System (PDPS) framework, which combines General Transit Feed Specification (GTFS), Critical Point Search (CPS), and deep learning models to leverage the data fusion. Based on this framework, we have also developed an open source data collection and processing tool that reduces the barrier to the use of the …
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 …
A General Framework For Secure Sharing Of Personal Health Records In Cloud System, Man Ho Au, Tsz Hon Yuen, Joseph K. Liu, Willy Susilo, Xinyi Huang, Zoe L. Jiang
A General Framework For Secure Sharing Of Personal Health Records In Cloud System, Man Ho Au, Tsz Hon Yuen, Joseph K. Liu, Willy Susilo, Xinyi Huang, Zoe L. Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
Personal Health Record (PHR) has been developed as a promising solution that allows patient-doctors interactions in a very effective way. Cloud technology has been seen as the prominent candidate to store the sensitive medical record in PHR, but to date, the security protection provided is yet inadequate without impacting the practicality of the system. In this paper, we provide an affirmative answer to this problem by proposing a general framework for secure sharing of PHRs. Our system enables patients to securely store and share their PHR in the cloud server (for example, to their carers), and furthermore the treating doctors …
Accurate Range Estimation For An Electric Vehicle Including Changing Environmental Conditions And Traction System Efficiency, Kaveh Sarrafan, Danny Sutanto, Kashem M. Muttaqi, Graham Town
Accurate Range Estimation For An Electric Vehicle Including Changing Environmental Conditions And Traction System Efficiency, Kaveh Sarrafan, Danny Sutanto, Kashem M. Muttaqi, Graham Town
Faculty of Engineering and Information Sciences - Papers: Part B
Range anxiety is an obstacle to the acceptance of electric vehicles (EVs), caused by drivers' uncertainty regarding their vehicle's state of charge (SoC) and the energy required to reach their destination. Most estimation methods for these variables use simplified models with many assumptions that can result in significant error, particularly if dynamic and environmental conditions are not considered. For example, the combined efficiency of the inverter drive and electric motor varies throughout the route and is not constant as assumed in most range estimation methods. This study proposes an improved method for SoC and range estimation by taking into account …
Heat Transfer Analysis Of An Integrated Double Skin Facade And Phase Change Material Blind System, Yilin Li, Jo Darkwa, Georgios Kokogiannakis
Heat Transfer Analysis Of An Integrated Double Skin Facade And Phase Change Material Blind System, Yilin Li, Jo Darkwa, Georgios Kokogiannakis
Faculty of Engineering and Information Sciences - Papers: Part B
In this study, the heat transfer in an integrated double skin facade (DSF) and phase change material (PCM) blind system has been theoretically analysed. Both heat transfer and airflow models with CFD methods have been developed for the integrated DSF and PCM blind system. Data from an existing typical DSF building have been obtained in order to define input parameters for the simulation exercise and validate the numerical models. The temperature and velocity fields in DSF with the PCM blind system has been predicted under overheating scenario using the ANSYS Workbench FLUENT software and been compared with case of conventional …
Thermal Performance Evaluation Of An Integrated Photovoltaic Thermal-Phase Change Material System Using Taguchi Method, Haoshan Ren, Wenye Lin, Zhenjun Ma, Wenke Fan
Thermal Performance Evaluation Of An Integrated Photovoltaic Thermal-Phase Change Material System Using Taguchi Method, Haoshan Ren, Wenye Lin, Zhenjun Ma, Wenke Fan
Faculty of Engineering and Information Sciences - Papers: Part B
This paper presents the performance evaluation of an integrated photovoltaic thermal (PVT) collector-phased change material (PCM) thermal energy storage (TES) system. The PVT collectors can generate both electricity and low-grade thermal energy during the daytime, and the thermal energy generated can be temporarily stored in the PCM TES unit and used for space heating during the night-time. Taguchi method and analysis of variance are used for the simulation design and data analysis, respectively. The thermal performance of the proposed system was evaluated in terms of the useful energy stored in the TES system. The results showed that the outlet air …
Performance Simulation Of A Ground Source Heat Pump System Integrated With Solar Photovoltaic Thermal Collectors For Residential Application, Lei Xia, Zhenjun Ma, Georgios Kokogiannakis
Performance Simulation Of A Ground Source Heat Pump System Integrated With Solar Photovoltaic Thermal Collectors For Residential Application, Lei Xia, Zhenjun Ma, Georgios Kokogiannakis
Faculty of Engineering and Information Sciences - Papers: Part B
This paper presents the simulation and performance evaluation of a ground source heat pump (GSHP) system integrated with water-based solar photovoltaic thermal (PVT) collectors for residential buildings. A dynamic simulation system is developed using TRNSYS and used to facilitate the performance evaluation of the system. A 20-year life-time performance simulation is performed under three operation scenarios with different sizes of the PVT collectors. The results showed that the performance of the system is highly dependent on the size of the PVT collectors. Furthermore, an economic analysis is carried out to determine the optimum size of the PVT collectors for the …
A Novel Fuzzy Sliding-Mode Control For Discrete-Time Uncertain System, T H. Yan, B Wu, B He, Weihua Li, R B. Wang
A Novel Fuzzy Sliding-Mode Control For Discrete-Time Uncertain System, T H. Yan, B Wu, B He, Weihua Li, R B. Wang
Faculty of Engineering and Information Sciences - Papers: Part B
This paper considers the sliding-mode control problem for discrete-time uncertain systems. It begins by presenting a discrete variable speed reaching law and a discrete-time sliding-mode controller (DSMC) designed using the proposed reaching law, followed by an analysis of their stability and dynamic performance. A sliding-mode controller with simple fuzzy logic is then proposed to further strengthen the dynamic performance of the proposed sliding-mode controller. Finally, the presented DSMC and the DSMC with fuzzy control for adjusting the parameters in this paper are compared with one of the previous proposed classic DSMC systems. The results of this simulation show that the …
Caregivers Time Utilization Before And After The Introduction Of An Electronic Nursing Documentation System In A Residential Aged Care Facility, Esther Naliaka Munyisia, Ping Yu, David M. Hailey
Caregivers Time Utilization Before And After The Introduction Of An Electronic Nursing Documentation System In A Residential Aged Care Facility, Esther Naliaka Munyisia, Ping Yu, David M. Hailey
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.