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Presents information on various IES Society chapters.
Chi-Seng Lam; Kim Fung Tsang. IEEE Macau Section IES Chapter 2020 Postgraduate Paper Contest [Chapter News]. IEEE Industrial Electronics Magazine 2021, 15, 84 -85.
AMA StyleChi-Seng Lam, Kim Fung Tsang. IEEE Macau Section IES Chapter 2020 Postgraduate Paper Contest [Chapter News]. IEEE Industrial Electronics Magazine. 2021; 15 (2):84-85.
Chicago/Turabian StyleChi-Seng Lam; Kim Fung Tsang. 2021. "IEEE Macau Section IES Chapter 2020 Postgraduate Paper Contest [Chapter News]." IEEE Industrial Electronics Magazine 15, no. 2: 84-85.
Network controllability robustness (CR) reflects how well a networked system can maintain its controllability against destructive attacks. Its measure is quantified by a sequence of values that record the remaining controllability of the network after a sequence of node-removal or edge-removal attacks. Traditionally, the CR is determined by attack simulations, which is computationally time-consuming or even infeasible. In this article, an improved method for predicting the network CR is developed based on machine learning using a group of convolutional neural networks (CNNs). In this scheme, a number of training data generated by simulations are used to train the group of CNNs for classification and prediction, respectively. Extensive experimental studies are carried out, which demonstrate that 1) the proposed method predicts more precisely than the classical single-CNN predictor; 2) the proposed CNN-based predictor provides a better predictive measure than the traditional spectral measures and network heterogeneity.
Yang Lou; Yaodong He; Lin Wang; Kim Fung Tsang; Guanrong Chen. Knowledge-Based Prediction of Network Controllability Robustness. IEEE Transactions on Neural Networks and Learning Systems 2021, PP, 1 -12.
AMA StyleYang Lou, Yaodong He, Lin Wang, Kim Fung Tsang, Guanrong Chen. Knowledge-Based Prediction of Network Controllability Robustness. IEEE Transactions on Neural Networks and Learning Systems. 2021; PP (99):1-12.
Chicago/Turabian StyleYang Lou; Yaodong He; Lin Wang; Kim Fung Tsang; Guanrong Chen. 2021. "Knowledge-Based Prediction of Network Controllability Robustness." IEEE Transactions on Neural Networks and Learning Systems PP, no. 99: 1-12.
Kim Fung Tsang. IES 2020 Chapter Activities in Review [Chapter News]. IEEE Industrial Electronics Magazine 2021, 15, 157 -158.
AMA StyleKim Fung Tsang. IES 2020 Chapter Activities in Review [Chapter News]. IEEE Industrial Electronics Magazine. 2021; 15 (1):157-158.
Chicago/Turabian StyleKim Fung Tsang. 2021. "IES 2020 Chapter Activities in Review [Chapter News]." IEEE Industrial Electronics Magazine 15, no. 1: 157-158.
Ye Liu; Lei Shu; Zhiqiang Huo; Kim F. Tsang; Gerhard P. Hancke. Collaborative Industrial Internet of Things for Noise Mapping: Prospects and Research Opportunities. IEEE Industrial Electronics Magazine 2021, 15, 52 -64.
AMA StyleYe Liu, Lei Shu, Zhiqiang Huo, Kim F. Tsang, Gerhard P. Hancke. Collaborative Industrial Internet of Things for Noise Mapping: Prospects and Research Opportunities. IEEE Industrial Electronics Magazine. 2021; 15 (2):52-64.
Chicago/Turabian StyleYe Liu; Lei Shu; Zhiqiang Huo; Kim F. Tsang; Gerhard P. Hancke. 2021. "Collaborative Industrial Internet of Things for Noise Mapping: Prospects and Research Opportunities." IEEE Industrial Electronics Magazine 15, no. 2: 52-64.
Ali Kashif Bashir; Shahid Mumtaz; Varun G. Menon; Kim Fung Tsang. Guest Editorial: Cognitive Analytics of Social Media for Industrial Manufacturing. IEEE Transactions on Industrial Informatics 2021, 17, 2899 -2901.
AMA StyleAli Kashif Bashir, Shahid Mumtaz, Varun G. Menon, Kim Fung Tsang. Guest Editorial: Cognitive Analytics of Social Media for Industrial Manufacturing. IEEE Transactions on Industrial Informatics. 2021; 17 (4):2899-2901.
Chicago/Turabian StyleAli Kashif Bashir; Shahid Mumtaz; Varun G. Menon; Kim Fung Tsang. 2021. "Guest Editorial: Cognitive Analytics of Social Media for Industrial Manufacturing." IEEE Transactions on Industrial Informatics 17, no. 4: 2899-2901.
Presents information on various IES Society chapters.
Luca Dalessandro; Kim-Fung Tsang. European Ph.D. School 2019 [Chapter News]. IEEE Industrial Electronics Magazine 2020, 14, 101 -110.
AMA StyleLuca Dalessandro, Kim-Fung Tsang. European Ph.D. School 2019 [Chapter News]. IEEE Industrial Electronics Magazine. 2020; 14 (3):101-110.
Chicago/Turabian StyleLuca Dalessandro; Kim-Fung Tsang. 2020. "European Ph.D. School 2019 [Chapter News]." IEEE Industrial Electronics Magazine 14, no. 3: 101-110.
This paper introduces a novel model based on support vector machine with radial basis function kernel (RBF-SVM) using time-series features of zebrafish (Danio rerio) locomotion exposed to different electromagnetic fields (EMFs) to indicate the corresponding EMF exposure. A group of 14 adult zebrafish was randomly divided into two groups, 7 in each group; the fish of each group have the novel tank test under a sham or real magnetic exposure of 6.78 MHz and about 1 A/m. Their locomotion in the tests was videotaped to convert into the x, y coordinate time-series of the trajectories for reforming time-series matrices according to different time-series lengths. The time-series features of zebrafish locomotion were calculated by the comparative time-series analyzing framework highly comparative time-series analysis (HCTSA), and a limited number of the time-series features that were most relevant to the EMF exposure conditions were selected using the minimum redundancy maximum relevance (mRMR) algorithm for RBF-SVM classification training. Before this, ambient environmental parameters (AEPs) had little effect on the locomotion performance of zebrafish processed by the empirical method, which had been quantitatively verified by regression using another group of 14 adult zebrafish. The results have demonstrated that the purposed model is capable of accurately indicating different EMF exposures. All classification accuracies can be 100%, and the classification precision of several classifiers based on specific parameters and feature sets with specific dimensions can reach higher than 95%. The speculative reason for this result is that the specified EMF has affected the zebrafish neural aspect, which is then reflected in their behaviors. The outcomes of this study have provided a new indication model for EMF exposures and provided a reference for the investigation of the impact of EMF exposure.
Yaqing He; Kim Fung Tsang; Richard Yuen-Chong Kong; Yuk-Tak Chow. Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion. Sensors 2020, 20, 4818 .
AMA StyleYaqing He, Kim Fung Tsang, Richard Yuen-Chong Kong, Yuk-Tak Chow. Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion. Sensors. 2020; 20 (17):4818.
Chicago/Turabian StyleYaqing He; Kim Fung Tsang; Richard Yuen-Chong Kong; Yuk-Tak Chow. 2020. "Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion." Sensors 20, no. 17: 4818.
Chi-Seng Lam. The IEEE Macau Section IES Chapter Invited Lecture by Prof. Carl Ho [Chapter News]. IEEE Industrial Electronics Magazine 2020, 14, 81 -82.
AMA StyleChi-Seng Lam. The IEEE Macau Section IES Chapter Invited Lecture by Prof. Carl Ho [Chapter News]. IEEE Industrial Electronics Magazine. 2020; 14 (2):81-82.
Chicago/Turabian StyleChi-Seng Lam. 2020. "The IEEE Macau Section IES Chapter Invited Lecture by Prof. Carl Ho [Chapter News]." IEEE Industrial Electronics Magazine 14, no. 2: 81-82.
The Received signal strength (RSS) fingerprint-based approaches are widely used for indoor location-based services. The emerging Long Range Wide Area Network (LoRaWAN) is a cost-effective solution for indoor latency-tolerant location-based services attributed to its long-range property. In general, there are serious RSS fluctuations due to fadings along the communication path, thus significantly jeopardizing the localization accuracy. To overcome the challenge, we propose the extreme RSS to stabilize the fingerprint database and formulate boundary autocorrelation to downsize tremendously the searching complexity and thus proliferating localization accuracy. In essence, the RSS fluctuations are modeled as a Bernoulli random process so that the RSS stability can be estimated by a newly defined fluctuation analytic function. To mitigate the impact of the perturbative fluctuation, the extreme RSS is further defined to cultivate a highly stable and robust fingerprint database which withstand environmental dynamics. In addition, boundary autocorrelation is developed to measure and compare the similarity between the measured RSS values versus the prestored fingerprint database. RSS values with low autocorrelation coefficients are eradicated from the typically lengthy searching. The downsized complexity significantly improves the localization accuracy. Experiments were carried out and the results revealed that the proposed method achieved sub-10-meter localization accuracy in indoor environments. Such accuracy is encouraging and superior in contemporary LoRaWAN measurements.
Hongxu Zhu; Kim-Fung Tsang; Yucheng Liu; Yang Wei; Hao Wang; Chung Kit Wu; Hao Ran Chi. Extreme RSS Based Indoor Localization for LoRaWAN With Boundary Autocorrelation. IEEE Transactions on Industrial Informatics 2020, 17, 4458 -4468.
AMA StyleHongxu Zhu, Kim-Fung Tsang, Yucheng Liu, Yang Wei, Hao Wang, Chung Kit Wu, Hao Ran Chi. Extreme RSS Based Indoor Localization for LoRaWAN With Boundary Autocorrelation. IEEE Transactions on Industrial Informatics. 2020; 17 (7):4458-4468.
Chicago/Turabian StyleHongxu Zhu; Kim-Fung Tsang; Yucheng Liu; Yang Wei; Hao Wang; Chung Kit Wu; Hao Ran Chi. 2020. "Extreme RSS Based Indoor Localization for LoRaWAN With Boundary Autocorrelation." IEEE Transactions on Industrial Informatics 17, no. 7: 4458-4468.
To better understand the correlation between network topological features and the robustness of network controllability in a general setting, this paper suggests a practical approach to searching for optimal network topologies with given numbers of nodes and edges. Since theoretical analysis seems impossible at least in the present time, exhaustive search based on optimization techniques is employed, firstly for a group of small-sized networks that are realistically workable, where exhaustive means 1) all possible network structures with the given numbers of nodes and edges are computed and compared, and 2) all possible node-removal sequences are considered. A main contribution of this paper is the observation of an empirical necessary condition (ENC) from the results of exhaustive search, which shrinks the search space to quickly find an optimal solution. ENC shows that the maximum and minimum in- and out-degrees of an optimal network structure should be almost identical, or within a very narrow range, i.e., the network should be extremely homogeneous. Edge rectification towards the satisfaction of the ENC is then designed and evaluated. Simulation results on large-sized synthetic and real-world networks verify the effectiveness of both the observed ENC and the edge rectification scheme. As more operations of edge rectification are performed, the network is getting closer to exactly satisfying the ENC, and consequently the robustness of the network controllability is enhanced towards optimum.
Yang Lou; Lin Wang; Kim-Fung Tsang; Guanrong Chen. Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition. IEEE Transactions on Circuits and Systems I: Regular Papers 2020, 67, 3163 -3174.
AMA StyleYang Lou, Lin Wang, Kim-Fung Tsang, Guanrong Chen. Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition. IEEE Transactions on Circuits and Systems I: Regular Papers. 2020; 67 (9):3163-3174.
Chicago/Turabian StyleYang Lou; Lin Wang; Kim-Fung Tsang; Guanrong Chen. 2020. "Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition." IEEE Transactions on Circuits and Systems I: Regular Papers 67, no. 9: 3163-3174.
Kim Fung Tsang; Victor Huang. Conference on Sensors and Internet of Things Standard for Smart City and Inauguration of IEEE P2668 Internet of Things Maturity Index [Chapter News]. IEEE Industrial Electronics Magazine 2019, 13, 130 -131.
AMA StyleKim Fung Tsang, Victor Huang. Conference on Sensors and Internet of Things Standard for Smart City and Inauguration of IEEE P2668 Internet of Things Maturity Index [Chapter News]. IEEE Industrial Electronics Magazine. 2019; 13 (4):130-131.
Chicago/Turabian StyleKim Fung Tsang; Victor Huang. 2019. "Conference on Sensors and Internet of Things Standard for Smart City and Inauguration of IEEE P2668 Internet of Things Maturity Index [Chapter News]." IEEE Industrial Electronics Magazine 13, no. 4: 130-131.
Kim Fung Tsang. Power Electronics Software Development and Testing Tools Workshop Hosted by ABB in Turgi, Switzerland [Chapter News]. IEEE Industrial Electronics Magazine 2019, 13, 43 -54.
AMA StyleKim Fung Tsang. Power Electronics Software Development and Testing Tools Workshop Hosted by ABB in Turgi, Switzerland [Chapter News]. IEEE Industrial Electronics Magazine. 2019; 13 (3):43-54.
Chicago/Turabian StyleKim Fung Tsang. 2019. "Power Electronics Software Development and Testing Tools Workshop Hosted by ABB in Turgi, Switzerland [Chapter News]." IEEE Industrial Electronics Magazine 13, no. 3: 43-54.
Improperly grown trees may cause huge hazards to the environment and to humans, through e.g., climate change, soil erosion, etc. A proximity environmental feature-based tree health assessment (PTA) scheme is proposed to prevent these hazards by providing guidance for early warning methods of potential poor tree health. In PTA development, tree health is defined and evaluated based on proximity environmental features (PEFs). The PEF takes into consideration the seven surrounding ambient features that strongly impact tree health. The PEFs were measured by the deployed smart sensors surrounding trees. A database composed of tree health and relative PEFs was established for further analysis. An adaptive data identifying (ADI) algorithm is applied to exclude the influence of interference factors in the database. Finally, the radial basis function (RBF) neural network (NN), a machine leaning algorithm, has been identified as the appropriate tool with which to correlate tree health and PEFs to establish the PTA algorithm. One of the salient features of PTA is that the algorithm can evaluate, and thus monitor, tree health remotely and automatically from smart sensor data by taking advantage of the well-established internet of things (IoT) network and machine learning algorithm.
Yang Wei; Hao Wang; Kim Fung Tsang; Yucheng Liu; Chung Kit Wu; Hongxu Zhu; Yuk-Tak Chow; Faan Hei Hung. Proximity Environmental Feature Based Tree Health Assessment Scheme Using Internet of Things and Machine Learning Algorithm. Sensors 2019, 19, 3115 .
AMA StyleYang Wei, Hao Wang, Kim Fung Tsang, Yucheng Liu, Chung Kit Wu, Hongxu Zhu, Yuk-Tak Chow, Faan Hei Hung. Proximity Environmental Feature Based Tree Health Assessment Scheme Using Internet of Things and Machine Learning Algorithm. Sensors. 2019; 19 (14):3115.
Chicago/Turabian StyleYang Wei; Hao Wang; Kim Fung Tsang; Yucheng Liu; Chung Kit Wu; Hongxu Zhu; Yuk-Tak Chow; Faan Hei Hung. 2019. "Proximity Environmental Feature Based Tree Health Assessment Scheme Using Internet of Things and Machine Learning Algorithm." Sensors 19, no. 14: 3115.
The papers in this special section provides a forum to present recent advances on 5G mobile communications f(5G) tactile Internet. The Internet, which was created to provide resilient and interoperable communication across the globe, evolved to transport a vast amount of content with which to enrich our real-life experience. Pervasive ultra-broadband, programmable networks, and cost reduction of IT systems are paving the way to new services and commoditization of telecommunications infrastructure while lowering entry barriers for new players and giving rise to new value chains. Today, it provides a depth of information and social sophistication that rivals the real world. The Tactile Internet, the next evolutionary step, will enable remote, real-time physical interactionwith real and virtual objects, creating a two-way interactive experience in which boundaries between the real world and virtual world will blur.
Shahid Mumtaz; Ai Bo; Anwer Al-Dulaimi; Kim-Fung Tsang. Guest Editorial 5G Tactile Internet: An Application for Industrial Automation. IEEE Transactions on Industrial Informatics 2019, 15, 2992 -2994.
AMA StyleShahid Mumtaz, Ai Bo, Anwer Al-Dulaimi, Kim-Fung Tsang. Guest Editorial 5G Tactile Internet: An Application for Industrial Automation. IEEE Transactions on Industrial Informatics. 2019; 15 (5):2992-2994.
Chicago/Turabian StyleShahid Mumtaz; Ai Bo; Anwer Al-Dulaimi; Kim-Fung Tsang. 2019. "Guest Editorial 5G Tactile Internet: An Application for Industrial Automation." IEEE Transactions on Industrial Informatics 15, no. 5: 2992-2994.
Presents information on various IES Society chapters.
Kim Fung Tsang. The ShanghaiTech Workshop on Emerging Devices, Circuits, and Systems 2018 [Chapter News]. IEEE Industrial Electronics Magazine 2018, 12, 40 -41.
AMA StyleKim Fung Tsang. The ShanghaiTech Workshop on Emerging Devices, Circuits, and Systems 2018 [Chapter News]. IEEE Industrial Electronics Magazine. 2018; 12 (4):40-41.
Chicago/Turabian StyleKim Fung Tsang. 2018. "The ShanghaiTech Workshop on Emerging Devices, Circuits, and Systems 2018 [Chapter News]." IEEE Industrial Electronics Magazine 12, no. 4: 40-41.
This paper presents the first antenna-integrated socket that can be used in place of the commercial socket. The socket panel is made of K9 glass for the aesthetic purpose. It serves as the dielectric resonator (DR) loading for the integrated slot antenna fabricated in the ground plane. The socket (DR)- loaded slot antenna is directly fed by a coaxial cable at the slot center. Considering the practical scenarios, the antenna is investigated in three different cases, namely the socket panel, socket panel with plug, and socket panel with the plug and cable. For demonstration, the socket-loaded antenna is designed in 2.4-GHz WLAN band (2.40–2.48 GHz). The reflection coefficient, radiation pattern, antenna gain, and efficiency in each case are measured. Measured results show that the impedance bandwidth can cover the entire frequency band. The antenna can be potentially used as a camouflaged antenna or an attractive home or office decoration.
Lei Guo; Kwok Wa Leung; Shi Qi Wang; Kim Fung Tsang. Investigation of Antenna-Integrated Transparent Socket Panel. IEEE Access 2018, 6, 73001 -73008.
AMA StyleLei Guo, Kwok Wa Leung, Shi Qi Wang, Kim Fung Tsang. Investigation of Antenna-Integrated Transparent Socket Panel. IEEE Access. 2018; 6 ():73001-73008.
Chicago/Turabian StyleLei Guo; Kwok Wa Leung; Shi Qi Wang; Kim Fung Tsang. 2018. "Investigation of Antenna-Integrated Transparent Socket Panel." IEEE Access 6, no. : 73001-73008.
In a metropolitan city, the power consumption of buildings is a great concern for not only economic but also environmental concerns. Researchers is proposing some new low power wide area (LPWA) IoT communication protocols to monitor and control power consumption in buildings. Three common LPWA communication protocols include: NB-IoT, LoRa and Sigfox, which can provide different functions or performance under different conditions. For building management system, these protocols can create platform to monitor and control the “things”, such as energy. Light Poles are used to be built to continuously lighten up the city which are served as passive devices to be controlled by the Highway Department. With the LWPA communication protocols and sensors or actuators, they can provide a low power low cost network nodes to serve local community; and uplink the data to Cloud via mobile communication network or Ethernet, as Smart Poles. In this paper, some fundamental scheme and based on LPWA protocols to design building management system are introduced; and prototype of Smart Poles have been networked and applied in a traditional industrial area.
Yu Tsz Tat; Yucheng Liu; Hongxu Zhu; Kim Fung Tsang. Feasiblity Studies on Smart Pole Connectivity Based on LPWA IoT Communication Platform for Industrial Applications. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society 2018, 4131 -4134.
AMA StyleYu Tsz Tat, Yucheng Liu, Hongxu Zhu, Kim Fung Tsang. Feasiblity Studies on Smart Pole Connectivity Based on LPWA IoT Communication Platform for Industrial Applications. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. 2018; ():4131-4134.
Chicago/Turabian StyleYu Tsz Tat; Yucheng Liu; Hongxu Zhu; Kim Fung Tsang. 2018. "Feasiblity Studies on Smart Pole Connectivity Based on LPWA IoT Communication Platform for Industrial Applications." IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society , no. : 4131-4134.
Due to lack of heart monitoring device, heart problems have been causing more than 17 million people death every year. Recently, researches on IoT (Internet of things) system provide feasible solutions to solve the problems. Such as LoRa wireless communication protocol, it can cover more than 1km 2 area and reliable communication connection. In heart monitoring system, packet transmission frequency should be considered carefully because of the reliability. Therefore, in this paper, the packet loss of heart monitoring system has been analyzed through packet length, transmission frequency and communication distance. Results shows that the packet loss can be less than 1% through specified communication property. The result in the paper can provide reference for reliable heart monitoring system design.
Yucheng Liu; Hongxu Zhu; Tsz Tat Arthur Yu; Kim Fung Tsang; Chung Kit Wu; Faan Hei Hung. Packet Loss Analysis for LoRa-Based Heart Monitoring System. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society 2018, 4668 -4671.
AMA StyleYucheng Liu, Hongxu Zhu, Tsz Tat Arthur Yu, Kim Fung Tsang, Chung Kit Wu, Faan Hei Hung. Packet Loss Analysis for LoRa-Based Heart Monitoring System. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. 2018; ():4668-4671.
Chicago/Turabian StyleYucheng Liu; Hongxu Zhu; Tsz Tat Arthur Yu; Kim Fung Tsang; Chung Kit Wu; Faan Hei Hung. 2018. "Packet Loss Analysis for LoRa-Based Heart Monitoring System." IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society , no. : 4668-4671.
Vocational safety problems have been causing millions of workers dead even with related safety policies launched. Sleep apnea is one of the main causes that renders insufficient sleep and thus becomes a high potential risk of working accidents. To assess sleep apnea, sleep stage monitoring and classification is the main and accurate way. Therefore, in this paper, a new classifier is designed for the sleep stage classification among awake, light sleep and deep sleep. A new kernel is designed for the sleep apnea classification. Results show that the proposed method can achieve an accuracy up to 97% and ~ 18% higher than the previous related works. Such a high accuracy ensures the efficient diagnosis of sleep apnea.
Hongxu Zhu; Cheon Hoi Koo; Chung Kit Wu; Wai Hin Wan; Yee Ting Tsang; Kim Fung Tsang. Sleep Apnea Monitoring for Smart Healthcare. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society 2018, 4726 -4729.
AMA StyleHongxu Zhu, Cheon Hoi Koo, Chung Kit Wu, Wai Hin Wan, Yee Ting Tsang, Kim Fung Tsang. Sleep Apnea Monitoring for Smart Healthcare. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. 2018; ():4726-4729.
Chicago/Turabian StyleHongxu Zhu; Cheon Hoi Koo; Chung Kit Wu; Wai Hin Wan; Yee Ting Tsang; Kim Fung Tsang. 2018. "Sleep Apnea Monitoring for Smart Healthcare." IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society , no. : 4726-4729.
With the rapid exhaustion of fossil energy, electric vehicles (EVs) become one of the key candidates for the next generation of transportation. Increasingly perfect technology developed makes EVs grow significantly. Therefore, Charging Stations (CSs), as accessories and necessities of EVs, should form a network with optimal planning. Inappropriate CS network design could cause series of negative effects to the popularization of EVs, the layout of the city traffic network and the financial cost of CS network construction, etc. Besides, the charging infrastructure planning for cities with large population and high EV density becomes even difficult. In this paper, an Effective Planning of CSs Network (CSN) is proposed. Comprehensive environmental elements (e.g. cities' and CSs' information, EV charging status, etc.) are considered in CSN. The CSN deals with complicated city planning in giant cities (i.e. large population, high EV density, etc.). Hong Kong is selected as the case study because it can be regarded as a typical giant city. Results show that the proposed CSN can ensure the EVs can find a CS before it is out of power. Besides, the CSN saves ~18% financial cost for the charging infrastructure planning in giant cities.
Hao Ran Chi; Hongxu Zhu; Yucheng Liu; Faan Hei Hung; Kim Fung Tsang; Mo Yuen Chow; Chengbin Ma. Charging Infrastructure Planning for Electric Vehicles in Giant Cities. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society 2018, 4651 -4655.
AMA StyleHao Ran Chi, Hongxu Zhu, Yucheng Liu, Faan Hei Hung, Kim Fung Tsang, Mo Yuen Chow, Chengbin Ma. Charging Infrastructure Planning for Electric Vehicles in Giant Cities. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. 2018; ():4651-4655.
Chicago/Turabian StyleHao Ran Chi; Hongxu Zhu; Yucheng Liu; Faan Hei Hung; Kim Fung Tsang; Mo Yuen Chow; Chengbin Ma. 2018. "Charging Infrastructure Planning for Electric Vehicles in Giant Cities." IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society , no. : 4651-4655.