This treatise proposes a generalized integrator (GI) based control scheme for low voltage ride-through operation of solar photovoltaic array (SPVA) with power quality (PQ) improvement features in the distribution grid. Under balanced/unbalanced grid voltage faults, the proposed strategy controls DC-DC converter in such a way that voltage source converter (VSC) currents are achieved within its permissible limits. Moreover, according to the recommended by the revised IEEE 1547.4 standard, the SPVA coupled VSC is adaptively supplied reactive power to the grid based on depth of grid voltage sag. The GI algorithm is proposed here to estimate accurate fundamental load component (FLC) even under the presence of DC offset. Moreover, the effectiveness of the GI algorithm is illustrated with frequency domain analysis and Lissajous plot to extract FLC. Simulation results are exhibited to illustrate the capability of the proposed strategy for the line to ground fault in the grid side network. Experimental results demonstrate the satisfactory performance under various cases such as load currents imbalancing, a variation of irradiations, SPVA-DSTATCOM mode and line to ground fault.
{"title":"Fault Ride-Through Operation of Grid Interfaced Solar PV System with Power Quality Improvement","authors":"Priyank Shah, Bhim Singh","doi":"10.1109/UV.2018.8642112","DOIUrl":"https://doi.org/10.1109/UV.2018.8642112","url":null,"abstract":"This treatise proposes a generalized integrator (GI) based control scheme for low voltage ride-through operation of solar photovoltaic array (SPVA) with power quality (PQ) improvement features in the distribution grid. Under balanced/unbalanced grid voltage faults, the proposed strategy controls DC-DC converter in such a way that voltage source converter (VSC) currents are achieved within its permissible limits. Moreover, according to the recommended by the revised IEEE 1547.4 standard, the SPVA coupled VSC is adaptively supplied reactive power to the grid based on depth of grid voltage sag. The GI algorithm is proposed here to estimate accurate fundamental load component (FLC) even under the presence of DC offset. Moreover, the effectiveness of the GI algorithm is illustrated with frequency domain analysis and Lissajous plot to extract FLC. Simulation results are exhibited to illustrate the capability of the proposed strategy for the line to ground fault in the grid side network. Experimental results demonstrate the satisfactory performance under various cases such as load currents imbalancing, a variation of irradiations, SPVA-DSTATCOM mode and line to ground fault.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131674815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Zheng, Hongyan Cui, Xiaoqiu Li, L. Meng, Tian Wang
Many technologies about data mining, such as clustering, have been widely applied in the context of bank to understand the behaviors of the clients and investors. Unlike some classic clustering validity index using compactness and separation, we employ Pairing Frequency Clustering Validity Index (PFCVI), which uses pairwise pattern information and focuses more on logical reasoning than geometrical features. We use PFCVI to evaluate the clustering quality under different c and find the optimal value of c is 11 based on the bank’s data, and clients in the 11 classes have different savings value potential levels and different fluctuation patterns. Then, we sum up the above 11 classes into 5 categories with different fluctuation patterns – stabilized savings value category, fluctuating savings value category, rising savings value category, falling savings value category and abnormal savings value category. Finally, we analyze each category with techniques like user profile and give some targeted advice for each category aimed at optimal market segment.
{"title":"The Clustering for Clients in a Bank Based on Big Data","authors":"Jie Zheng, Hongyan Cui, Xiaoqiu Li, L. Meng, Tian Wang","doi":"10.1109/UV.2018.8642136","DOIUrl":"https://doi.org/10.1109/UV.2018.8642136","url":null,"abstract":"Many technologies about data mining, such as clustering, have been widely applied in the context of bank to understand the behaviors of the clients and investors. Unlike some classic clustering validity index using compactness and separation, we employ Pairing Frequency Clustering Validity Index (PFCVI), which uses pairwise pattern information and focuses more on logical reasoning than geometrical features. We use PFCVI to evaluate the clustering quality under different c and find the optimal value of c is 11 based on the bank’s data, and clients in the 11 classes have different savings value potential levels and different fluctuation patterns. Then, we sum up the above 11 classes into 5 categories with different fluctuation patterns – stabilized savings value category, fluctuating savings value category, rising savings value category, falling savings value category and abnormal savings value category. Finally, we analyze each category with techniques like user profile and give some targeted advice for each category aimed at optimal market segment.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126971979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Taiyu Wong, Hongyan Cui, Yuepeng Shen, Wenqi Lin, Tao Yu
As more and more personal information is used in network services, network anonymity has received more and more attention. Attackers could endanger the victims’ privacy by attacking or eavesdropping nodes during the networks routing. For example, attackers could retrieve the IP and MAC address of victims from network traffics, and use it to corelate the network behavior to individuals. The emerging Software Defined Network (SDN) technique provides a pretty flexible platform that can control the whole network by software programming, which propose a new solution to realize the network anonymity problem. In this paper, we propose a solution based on SDN to anonymize both MAC and IP addresses of network traffics in order to mitigate the privacy threats, and programing it. Furthermore, we test the anonymity function on our SDN Testbed. Our solution supports two working modes: a two-way anonymous mode which anonymizes the IP and MAC addresses of all data packets, and an one-way anonymous mode which anonymizes MAC and IP addresses of senders.
{"title":"Anonymous network communication based on SDN","authors":"Taiyu Wong, Hongyan Cui, Yuepeng Shen, Wenqi Lin, Tao Yu","doi":"10.1109/UV.2018.8642139","DOIUrl":"https://doi.org/10.1109/UV.2018.8642139","url":null,"abstract":"As more and more personal information is used in network services, network anonymity has received more and more attention. Attackers could endanger the victims’ privacy by attacking or eavesdropping nodes during the networks routing. For example, attackers could retrieve the IP and MAC address of victims from network traffics, and use it to corelate the network behavior to individuals. The emerging Software Defined Network (SDN) technique provides a pretty flexible platform that can control the whole network by software programming, which propose a new solution to realize the network anonymity problem. In this paper, we propose a solution based on SDN to anonymize both MAC and IP addresses of network traffics in order to mitigate the privacy threats, and programing it. Furthermore, we test the anonymity function on our SDN Testbed. Our solution supports two working modes: a two-way anonymous mode which anonymizes the IP and MAC addresses of all data packets, and an one-way anonymous mode which anonymizes MAC and IP addresses of senders.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115616624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiahui Chen, Yajun Fang, Hao Sheng, I. Masaki, B. Horn, Z. Xiong
Nowadays camera network plays an important role in the Intelligent Transportation System (ITS), and due to the weak computing ability of smart devices in the camera network, collecting traffic status in real time is one of the critical tasks in this field. A common strategy for traffic status collecting is first to form the trajectories of vehicles and then to measure interested indicators. To address this problem, we present a real-time vehicle status perception approach, which directly extracts vehicle status from our proposed novel video feature, temporal component-weight. Specifically, temporal component-weight is calculated based on a sampling of the whole frame. Also, a hybrid model is proposed to handle crowded situations. We test our approaches in surveillance sequences, and the results show that the proposed approach can effectively collect the vehicle status, including number, relative location, and relative speed.
{"title":"Real-time Vehicle Status Perception Without Frame-based Segmentation for Smart Camera Network","authors":"Jiahui Chen, Yajun Fang, Hao Sheng, I. Masaki, B. Horn, Z. Xiong","doi":"10.1109/UV.2018.8642118","DOIUrl":"https://doi.org/10.1109/UV.2018.8642118","url":null,"abstract":"Nowadays camera network plays an important role in the Intelligent Transportation System (ITS), and due to the weak computing ability of smart devices in the camera network, collecting traffic status in real time is one of the critical tasks in this field. A common strategy for traffic status collecting is first to form the trajectories of vehicles and then to measure interested indicators. To address this problem, we present a real-time vehicle status perception approach, which directly extracts vehicle status from our proposed novel video feature, temporal component-weight. Specifically, temporal component-weight is calculated based on a sampling of the whole frame. Also, a hybrid model is proposed to handle crowded situations. We test our approaches in surveillance sequences, and the results show that the proposed approach can effectively collect the vehicle status, including number, relative location, and relative speed.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129493264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cloud Manufacturing environment enables enterprises to share their resources together for rental profits and customized production. The fact that most manufacturing devices are organized and controlled in a particular production line hinders the flexible use of the corresponding services in a cloud platform. Therefore, the collaborative selection of upper layer suppliers and the underlying manufacturing services is of great importance, but rarely considered. To address the problem, a two-layer integrated model of supplier selection and service scheduling is proposed to provide feasible solutions for different kinds of production requirements. The decomposition-based multi-objective evolutionary algorithm, i.e., MOEA/D, is applied to minimize the production time, the rental cost and the transportation cost for producing a customized product. We empirically demonstrate that the integrated optimization way is more efficient than the original two-step decision way in practice.
{"title":"Integrated optimization of supplier selection and service scheduling in cloud manufacturing environment","authors":"Sisi Lin, Y. Laili, Yongliang Luo","doi":"10.1109/UV.2018.8642124","DOIUrl":"https://doi.org/10.1109/UV.2018.8642124","url":null,"abstract":"Cloud Manufacturing environment enables enterprises to share their resources together for rental profits and customized production. The fact that most manufacturing devices are organized and controlled in a particular production line hinders the flexible use of the corresponding services in a cloud platform. Therefore, the collaborative selection of upper layer suppliers and the underlying manufacturing services is of great importance, but rarely considered. To address the problem, a two-layer integrated model of supplier selection and service scheduling is proposed to provide feasible solutions for different kinds of production requirements. The decomposition-based multi-objective evolutionary algorithm, i.e., MOEA/D, is applied to minimize the production time, the rental cost and the transportation cost for producing a customized product. We empirically demonstrate that the integrated optimization way is more efficient than the original two-step decision way in practice.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130182496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xingzhi Qian, E. Patton, Justin Swaney, Qian Xing, TingyingHelen Zeng
Cataracts is a serious eye disease, affecting over 20 million people worldwide. It is the clouding of the lens, which blocks the light to go through the lens and project on the retina [1]. As a result, the nerve cannot transfer the whole image to the brain, leading to blindness. A vast majority of cataracts patients are people who are over 50 years old. To classify different areas of cataracts in lens, we use supervised training of convolutional neural network to train 420 images of cataracts on the lens taken from slit-lamps. The experiment can make the future of classifying cataracts more easily and ophthalmologists can apply operations to different categories of cataracts within a shorter time to cure patients with cataracts. For those people in the countryside, even not so experienced doctors can take the photo of lens and use the program to classify cataracts correctly.
{"title":"Machine Learning on Cataracts Classification Using SqueezeNet","authors":"Xingzhi Qian, E. Patton, Justin Swaney, Qian Xing, TingyingHelen Zeng","doi":"10.1109/UV.2018.8642133","DOIUrl":"https://doi.org/10.1109/UV.2018.8642133","url":null,"abstract":"Cataracts is a serious eye disease, affecting over 20 million people worldwide. It is the clouding of the lens, which blocks the light to go through the lens and project on the retina [1]. As a result, the nerve cannot transfer the whole image to the brain, leading to blindness. A vast majority of cataracts patients are people who are over 50 years old. To classify different areas of cataracts in lens, we use supervised training of convolutional neural network to train 420 images of cataracts on the lens taken from slit-lamps. The experiment can make the future of classifying cataracts more easily and ophthalmologists can apply operations to different categories of cataracts within a shorter time to cure patients with cataracts. For those people in the countryside, even not so experienced doctors can take the photo of lens and use the program to classify cataracts correctly.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128925793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bingqing Liu, Hongyan Cui, Xue-song Qiu, Tao Yu, Haiyong Xu, Yan Huang, Meng Xu
Research on mobile network user behavior is of vital importance for mobile communications services. However, in most cases, large amounts of data are collected in a dispersed way and irregularly, impeding operators from offering reasonable business recommendations for users, hence business managers can hardly satisfy customers’ needs. Therefore, we conduct a correlation analysis of mobile data, including a correlation analysis between a user’s mobile network business and district, between business and time, and between business and business. In the process of analyzing, based on the Hadoop distributed computing platform, we apply the FP-Growth correlation algorithm to analyze real communication data from operators, obtaining the business type transition law of the network service types of users. Then, by applying the K-means algorithm, we cluster the data of base stations in the city, classify and count the network traffic flow used by users in each area and acquire their preference of network access. Furthermore, through the visualization of base station data of network businesses, mobile data could be better applied and analyzed. The study is useful for achieving the optimization of resource allocation and communication network service provided by operators, contributing to the better guidance of urban planning.
{"title":"A Study on Correlation Analysis and Application of Communication Network Service","authors":"Bingqing Liu, Hongyan Cui, Xue-song Qiu, Tao Yu, Haiyong Xu, Yan Huang, Meng Xu","doi":"10.1109/UV.2018.8642122","DOIUrl":"https://doi.org/10.1109/UV.2018.8642122","url":null,"abstract":"Research on mobile network user behavior is of vital importance for mobile communications services. However, in most cases, large amounts of data are collected in a dispersed way and irregularly, impeding operators from offering reasonable business recommendations for users, hence business managers can hardly satisfy customers’ needs. Therefore, we conduct a correlation analysis of mobile data, including a correlation analysis between a user’s mobile network business and district, between business and time, and between business and business. In the process of analyzing, based on the Hadoop distributed computing platform, we apply the FP-Growth correlation algorithm to analyze real communication data from operators, obtaining the business type transition law of the network service types of users. Then, by applying the K-means algorithm, we cluster the data of base stations in the city, classify and count the network traffic flow used by users in each area and acquire their preference of network access. Furthermore, through the visualization of base station data of network businesses, mobile data could be better applied and analyzed. The study is useful for achieving the optimization of resource allocation and communication network service provided by operators, contributing to the better guidance of urban planning.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132567710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despite the accelerating change at all levels of life, demanding a plethora of new intelligent systems, formal education continues to resemble a box, created during Industrial Revolution and only modestly changed since. The technicist curriculum and the public school remain a modernist project, boxing in students and constraining their imaginations. So, it is not worth investing in intelligent technologies if education is not considered, creating new flexibilities for people’s behaviours and attitudes. A paradigm shift in the area of education and teacher education will advance the fruition of the Universal Village more than any specific invention or system. The aim of this presentation is to share my concern about the inadequacy of the “black-and-white” mental organisation caused by the knowledge boundaries of various disciplines in hierarchical order, characteristic of the modernist curriculum implemented at schools, and the real need for a global and interdisciplinary methodological approach focused on the greatest problems of humanity.
{"title":"(Re)thinking education out of the box","authors":"J. M. Sousa","doi":"10.1109/UV.2018.8709305","DOIUrl":"https://doi.org/10.1109/UV.2018.8709305","url":null,"abstract":"Despite the accelerating change at all levels of life, demanding a plethora of new intelligent systems, formal education continues to resemble a box, created during Industrial Revolution and only modestly changed since. The technicist curriculum and the public school remain a modernist project, boxing in students and constraining their imaginations. So, it is not worth investing in intelligent technologies if education is not considered, creating new flexibilities for people’s behaviours and attitudes. A paradigm shift in the area of education and teacher education will advance the fruition of the Universal Village more than any specific invention or system. The aim of this presentation is to share my concern about the inadequacy of the “black-and-white” mental organisation caused by the knowledge boundaries of various disciplines in hierarchical order, characteristic of the modernist curriculum implemented at schools, and the real need for a global and interdisciplinary methodological approach focused on the greatest problems of humanity.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongkai Chen, Guanghua Cheng, Tianhong Shen, Yang Liu, Yajun Fang, B. Horn
In this paper, a method is proposed to extract overall motion pattern for target trajectories from RGB frame sequence in a fixed background. Compared to existing methods which perform tracing on individual targets for trajectories, proposed method extracts overall trajectory information without matching or alignment between surveillance video frames, bringing about reduction on computation cost Rather than tracking every object, researchers detect objects in each frame and record their central positions to form a 2D trajectory points cloud. A novel clustering algorithm based on the moment of inertia has been applied on the 2D point cloud to extract overall statistics trajectory information. In a traffic surveillance scenario, the proposed method provided descriptive information with efficiency, and is suitable for real-time intelligent monitoring and crowd management for future smart cities.
{"title":"A Method to Extract Overall Trajectory Information from Frame Sequence of Fixed Background without Object Tracking","authors":"Hongkai Chen, Guanghua Cheng, Tianhong Shen, Yang Liu, Yajun Fang, B. Horn","doi":"10.1109/UV.2018.8642123","DOIUrl":"https://doi.org/10.1109/UV.2018.8642123","url":null,"abstract":"In this paper, a method is proposed to extract overall motion pattern for target trajectories from RGB frame sequence in a fixed background. Compared to existing methods which perform tracing on individual targets for trajectories, proposed method extracts overall trajectory information without matching or alignment between surveillance video frames, bringing about reduction on computation cost Rather than tracking every object, researchers detect objects in each frame and record their central positions to form a 2D trajectory points cloud. A novel clustering algorithm based on the moment of inertia has been applied on the 2D point cloud to extract overall statistics trajectory information. In a traffic surveillance scenario, the proposed method provided descriptive information with efficiency, and is suitable for real-time intelligent monitoring and crowd management for future smart cities.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116801495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this paper is to propose a systematic solution to improve human healthcare situation and to amend the current medical and healthcare systems. The paper first evaluates the current smart healthcare technologies and their progress in different regions, then identifies the major limitation of current smart healthcare systems, specifically the current challenges of patient-hospital relationship and how insufficient communication between hospitals and patients jeopardize the patient-hospital relationship. The paper analyzes several impacting factors, including the interactions between smart healthcare system and other smart systems under the framework of smart cities, and how these factors would affect the whole systems systematically. Under such a framework we discuss in this paper how to enhance the patient experience in hospital by smart healthcare technologies and solve the problems of unsatisfying relationship between patients and hospitals. The studies are conducted from the following three aspects: hospitals exchange information, patients learn about hospitals, and hospitals gather data from patients. The research introduces different examples of medical technology and of intersections between healthcare system and other systems. However, due to the difference of medical resources and the development of infrastructures in different countries, smart healthcare system still need amendment.
{"title":"Analysis of Information Exchange: How Does It Affect Patient-Hospital Relationship?","authors":"Xiao Yang, Yajun Fang, B. Horn","doi":"10.1109/UV.2018.8642107","DOIUrl":"https://doi.org/10.1109/UV.2018.8642107","url":null,"abstract":"The purpose of this paper is to propose a systematic solution to improve human healthcare situation and to amend the current medical and healthcare systems. The paper first evaluates the current smart healthcare technologies and their progress in different regions, then identifies the major limitation of current smart healthcare systems, specifically the current challenges of patient-hospital relationship and how insufficient communication between hospitals and patients jeopardize the patient-hospital relationship. The paper analyzes several impacting factors, including the interactions between smart healthcare system and other smart systems under the framework of smart cities, and how these factors would affect the whole systems systematically. Under such a framework we discuss in this paper how to enhance the patient experience in hospital by smart healthcare technologies and solve the problems of unsatisfying relationship between patients and hospitals. The studies are conducted from the following three aspects: hospitals exchange information, patients learn about hospitals, and hospitals gather data from patients. The research introduces different examples of medical technology and of intersections between healthcare system and other systems. However, due to the difference of medical resources and the development of infrastructures in different countries, smart healthcare system still need amendment.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114081296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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