Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8519969
J. Weng, Yu-En Lee, Lin-Chi Chen
Cell-on-a-Chip (COC) can be utilized to get a preliminary analysis of the drug development for reducing the usage of experimental animals. Several strategies of surface modification in microchannel have been used to make the cells attach to the surface that increases the complexity of the COC chip fabrication. In the study, we propose a COC platform which has a reversible package design and a simple cell seeding process. Cells attach to a circular glass slide without any modification, and it provides the possibility of the duplex cells analysis in a chip. Using this COC platform, the function and harm of the new cancer drugs can be evaluated efficiently.
{"title":"Cell-on-a-Chip with Reversible Package for Studying the Drug Metabolism Between Cancer and Liver Cells","authors":"J. Weng, Yu-En Lee, Lin-Chi Chen","doi":"10.1109/ICSSE.2018.8519969","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8519969","url":null,"abstract":"Cell-on-a-Chip (COC) can be utilized to get a preliminary analysis of the drug development for reducing the usage of experimental animals. Several strategies of surface modification in microchannel have been used to make the cells attach to the surface that increases the complexity of the COC chip fabrication. In the study, we propose a COC platform which has a reversible package design and a simple cell seeding process. Cells attach to a circular glass slide without any modification, and it provides the possibility of the duplex cells analysis in a chip. Using this COC platform, the function and harm of the new cancer drugs can be evaluated efficiently.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127844250","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520043
W. Wey, C. Ching
For the past few years, the concept of urban sustainability and smart city has been viewed as a crucial way to solve the problem regarding urbanization, and the global city thus ranks it as a future development goal. With the implementation of the above strategies, the construction of relevant city assessment tools is essential. However, the assessment framework of urban sustainability focuses on the aspect of environment and society, while smart city puts emphasis on economic and social indicators. Therefore, integrating the two concepts as “Smart Sustainable City” and constructing a related evaluation model would be more comprehensive. Moreover, the development of “Big Data” theory allows city planners to interpret and apply large amounts of data collected from various sources. Under this opportunity, the result of analyzing the actual big data to forecast the variance ratio of each indicator can be used as the objective basis to construct the model, which can increase the accuracy of the city assessment. Based on the big data analysis, this paper will construct an assessment framework of smart sustainable city in line with the future situation, and further conduct the model validation through city evaluation. First, this paper reviews the concepts and assessment framework of sustainable development and smart city in order to sum up the appropriate indicators to construct the model, and applies “Fuzzy Delphi Technique (FDT)” to select the indicators which are considered important regarding the smart sustainable city. In addition, “Data Mining” and “Analytic Network Process (ANP)” are used to predict the future variance ratio of smart sustainable city indicators and to apply the variance ratio regarding the future scenario to determine their weights. Finally, this paper will conduct an empirical analysis by assessing the smart sustainable level of cities, hoping to validate the model and propose related suggestions to promote the idea exchange of urban development.
{"title":"The Application of Innovation and Catapult Research Techniques to Future Smart Cities Assessment Framework","authors":"W. Wey, C. Ching","doi":"10.1109/ICSSE.2018.8520043","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520043","url":null,"abstract":"For the past few years, the concept of urban sustainability and smart city has been viewed as a crucial way to solve the problem regarding urbanization, and the global city thus ranks it as a future development goal. With the implementation of the above strategies, the construction of relevant city assessment tools is essential. However, the assessment framework of urban sustainability focuses on the aspect of environment and society, while smart city puts emphasis on economic and social indicators. Therefore, integrating the two concepts as “Smart Sustainable City” and constructing a related evaluation model would be more comprehensive. Moreover, the development of “Big Data” theory allows city planners to interpret and apply large amounts of data collected from various sources. Under this opportunity, the result of analyzing the actual big data to forecast the variance ratio of each indicator can be used as the objective basis to construct the model, which can increase the accuracy of the city assessment. Based on the big data analysis, this paper will construct an assessment framework of smart sustainable city in line with the future situation, and further conduct the model validation through city evaluation. First, this paper reviews the concepts and assessment framework of sustainable development and smart city in order to sum up the appropriate indicators to construct the model, and applies “Fuzzy Delphi Technique (FDT)” to select the indicators which are considered important regarding the smart sustainable city. In addition, “Data Mining” and “Analytic Network Process (ANP)” are used to predict the future variance ratio of smart sustainable city indicators and to apply the variance ratio regarding the future scenario to determine their weights. Finally, this paper will conduct an empirical analysis by assessing the smart sustainable level of cities, hoping to validate the model and propose related suggestions to promote the idea exchange of urban development.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121432542","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520085
Ya-Hui Chiu, San-Feng Yen, Shien‐Fong Lin
Stroke patients, due to lack of exercise, usually suffer from muscle atrophy or functional deterioration. Therefore the patients need to do long-term rehabilitation therapy activities. The current clinical practice uses static rehabilitation tools such as stacking cones without immediate functional feedback. During the procedure, an occupational therapist (OT) fills out a Brunnstrom stage form to evaluate the status of upper limb. This approach has not been effective because patients may feel tired and boring with these tools. According to Brunnstrom stage, the palm grip ability level between three to six, and the arm strength level between four to six can use stacking cones for rehabilitation purposes. The research methods in this project are based on the patients' need to do rehabilitation with stacking cones, such as those with stroke, spinal cord injury, brain injury, Parkinson's disease, hand and visual perception problems. This study aims to establish a smart stacking cones device for upper limb rehabilitation with evaluation function. The goal is to raise the efficacy and add fun level during diagnostic and therapeutic procedures, therefore to achieve improved upper limb action, palm grip action, strength, endurance, coordination and other capabilities.
{"title":"Design and Construction of an Intelligent Stacking Cone Upper Limb Rehabilitation System","authors":"Ya-Hui Chiu, San-Feng Yen, Shien‐Fong Lin","doi":"10.1109/ICSSE.2018.8520085","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520085","url":null,"abstract":"Stroke patients, due to lack of exercise, usually suffer from muscle atrophy or functional deterioration. Therefore the patients need to do long-term rehabilitation therapy activities. The current clinical practice uses static rehabilitation tools such as stacking cones without immediate functional feedback. During the procedure, an occupational therapist (OT) fills out a Brunnstrom stage form to evaluate the status of upper limb. This approach has not been effective because patients may feel tired and boring with these tools. According to Brunnstrom stage, the palm grip ability level between three to six, and the arm strength level between four to six can use stacking cones for rehabilitation purposes. The research methods in this project are based on the patients' need to do rehabilitation with stacking cones, such as those with stroke, spinal cord injury, brain injury, Parkinson's disease, hand and visual perception problems. This study aims to establish a smart stacking cones device for upper limb rehabilitation with evaluation function. The goal is to raise the efficacy and add fun level during diagnostic and therapeutic procedures, therefore to achieve improved upper limb action, palm grip action, strength, endurance, coordination and other capabilities.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123273235","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520081
Jyh-Shyan Chiu, Shinn-Fwu Wang, Wen-June Wang
In the paper, a biochemical sensor based on surface plasmon resonance technology in heterodyne interferometry is proposed. The biochemical sensor is designed as an elongated prism that is made of BK7 glass. The two-sides of the elongated prism was coated with 2nm Ti-film and 45.5nm Au-film. On the basis of surface plasma resonance principles, the proposed biochemical sensor capitalizes on the adhesion activity between test fluids and metal films. Attenuated total reflection occurs when light permeates metal films, resulting in the phase variation. Thus, the fluid properties can be determined by measuring the phase of the exit light. Because adding chemicals or agents to the proposed biosensor is unnecessary, the properties of the measured sample are unaffected during measurements. With the biochemical sensor, the refractive index of the tested medium can be obtained only by measuring the phase difference between the p-and s-polarization lights due to the multiple attenuated total-internal reflections (MATRs) effect. The photoelectric biosensor has a sensitivity of up to $2.6times 10^{4}$ degree/refractive index. Besides, the best resolution of the sensor can reach $3.8times 10^{-7}$ refractive index unit (RIU). It also features several advantages such as instantaneous measurement, high sensitivity, simple experimental architecture, and low cost.
{"title":"A Biochemical Sensor Based on Surface Plasmon Resonance Technology in Heterodyne Interferometry","authors":"Jyh-Shyan Chiu, Shinn-Fwu Wang, Wen-June Wang","doi":"10.1109/ICSSE.2018.8520081","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520081","url":null,"abstract":"In the paper, a biochemical sensor based on surface plasmon resonance technology in heterodyne interferometry is proposed. The biochemical sensor is designed as an elongated prism that is made of BK7 glass. The two-sides of the elongated prism was coated with 2nm Ti-film and 45.5nm Au-film. On the basis of surface plasma resonance principles, the proposed biochemical sensor capitalizes on the adhesion activity between test fluids and metal films. Attenuated total reflection occurs when light permeates metal films, resulting in the phase variation. Thus, the fluid properties can be determined by measuring the phase of the exit light. Because adding chemicals or agents to the proposed biosensor is unnecessary, the properties of the measured sample are unaffected during measurements. With the biochemical sensor, the refractive index of the tested medium can be obtained only by measuring the phase difference between the p-and s-polarization lights due to the multiple attenuated total-internal reflections (MATRs) effect. The photoelectric biosensor has a sensitivity of up to $2.6times 10^{4}$ degree/refractive index. Besides, the best resolution of the sensor can reach $3.8times 10^{-7}$ refractive index unit (RIU). It also features several advantages such as instantaneous measurement, high sensitivity, simple experimental architecture, and low cost.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"633 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123347997","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520080
B. T. Nugraha, S. Su
Recent technologies in the deep learning area enable many industries and practitioners fastening the development processes of their products. However, deep learning still encounters some potential issues like overfitting and huge size. The huge size greatly constrains performance and portability of the deep learning model in embedded devices with limited environments. Due to the paradigm of it mixed with the meaning of “deep” layers, many researchers tend to derive the pre-trained model into building deeper layers to solve their problems without knowing whether they are actually needed or not. To address these issues, we exploit the activation and gradient output and weight in each layer of the pre-trained models to measure its efficiencies. By exploiting them, we estimate the efficiencies using our measurements and compare it with the manual layer reduction to validate the most relevant method. We also use the method for continuous layer reductions for validation. With this approach, we save up to 12x and 26x of the time of one manual layer reduction and re-training on VGG-16 and custom AlexNet respectively.
{"title":"Analysis of Layer Efficiency and Layer Reduction on Pre-Trained Deep Learning Models","authors":"B. T. Nugraha, S. Su","doi":"10.1109/ICSSE.2018.8520080","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520080","url":null,"abstract":"Recent technologies in the deep learning area enable many industries and practitioners fastening the development processes of their products. However, deep learning still encounters some potential issues like overfitting and huge size. The huge size greatly constrains performance and portability of the deep learning model in embedded devices with limited environments. Due to the paradigm of it mixed with the meaning of “deep” layers, many researchers tend to derive the pre-trained model into building deeper layers to solve their problems without knowing whether they are actually needed or not. To address these issues, we exploit the activation and gradient output and weight in each layer of the pre-trained models to measure its efficiencies. By exploiting them, we estimate the efficiencies using our measurements and compare it with the manual layer reduction to validate the most relevant method. We also use the method for continuous layer reductions for validation. With this approach, we save up to 12x and 26x of the time of one manual layer reduction and re-training on VGG-16 and custom AlexNet respectively.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117314756","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520135
Tz-Yang Chao, Shien‐Fong Lin
The objective of the study is to improve walking experience with mixed reality technique. Walking is an excellent exercise, especially for the elderly. However, walking may become tedious due to limitation of the environment. Mixed reality, the hybrid of augmented reality and virtual reality, is able to turn real environment into fascinated world, and offers new opportunities to improve walking experience. In this research, a mixed reality walking system has been developed. With the function of guiding user to walk continuously in specified range and to interact with virtual characters, mixed reality provides new paradigm in improving walking experience. Concerns over user's safety and convenience in a mixed reality setting are discussed.
{"title":"A Mixed Reality System to Improve Walking Experience","authors":"Tz-Yang Chao, Shien‐Fong Lin","doi":"10.1109/ICSSE.2018.8520135","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520135","url":null,"abstract":"The objective of the study is to improve walking experience with mixed reality technique. Walking is an excellent exercise, especially for the elderly. However, walking may become tedious due to limitation of the environment. Mixed reality, the hybrid of augmented reality and virtual reality, is able to turn real environment into fascinated world, and offers new opportunities to improve walking experience. In this research, a mixed reality walking system has been developed. With the function of guiding user to walk continuously in specified range and to interact with virtual characters, mixed reality provides new paradigm in improving walking experience. Concerns over user's safety and convenience in a mixed reality setting are discussed.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115471444","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520101
M. Khakifirooz, Dimitri Cayard, C. Chien, M. Fathi
With advances in information and telecommunication technologies and data-enabled decision making, smart manufacturing can be an essential component of sustainable development. In this era, the promising relevant opportunities to reduce costs to boost productivity and improve quality is based on the integration or combination of simulated replicas of actual equipment, Cyber-Physical Systems (CPS) and regionalized or decentralized decision making into a smart factory. However, this integration also presents the industry with different unique challenges. The stream of the data from sensors, robots, and CPS can aid to make the manufacturing smart. Therefore, it would be an increased need for modeling, optimization, and simulation to the value delivery of manufacturing data. This paper aims to outline the approach that was used to develop a system dynamics model to evaluate a superior design of “Industry 4.0” implementation for smart manufacturing.
{"title":"A System Dynamic Model for Implementation of Industry 4.0","authors":"M. Khakifirooz, Dimitri Cayard, C. Chien, M. Fathi","doi":"10.1109/ICSSE.2018.8520101","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520101","url":null,"abstract":"With advances in information and telecommunication technologies and data-enabled decision making, smart manufacturing can be an essential component of sustainable development. In this era, the promising relevant opportunities to reduce costs to boost productivity and improve quality is based on the integration or combination of simulated replicas of actual equipment, Cyber-Physical Systems (CPS) and regionalized or decentralized decision making into a smart factory. However, this integration also presents the industry with different unique challenges. The stream of the data from sensors, robots, and CPS can aid to make the manufacturing smart. Therefore, it would be an increased need for modeling, optimization, and simulation to the value delivery of manufacturing data. This paper aims to outline the approach that was used to develop a system dynamics model to evaluate a superior design of “Industry 4.0” implementation for smart manufacturing.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131457259","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8519997
Y. Jayasuriya, C. S. Elvitigala, Kolitha Warnakulasooriya, B. Sudantha
Most of the greenhouses in the tropical countries are suffering from controlling of temperature and humidity although they are occupied with state of the art controlling systems. This research was targeted to find solution for certain parameter controlling of a green house in tropical countries including humidity and temperature. The weather parameters are measured and data would be stored in a remote server using IoT enabled weather station. All the controlling algorithms were based on the current data and previously measured data available in the server.
{"title":"Low Cost and IoT Based Greenhouse with Climate Monitoring and Controlling System for Tropical Countries","authors":"Y. Jayasuriya, C. S. Elvitigala, Kolitha Warnakulasooriya, B. Sudantha","doi":"10.1109/ICSSE.2018.8519997","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8519997","url":null,"abstract":"Most of the greenhouses in the tropical countries are suffering from controlling of temperature and humidity although they are occupied with state of the art controlling systems. This research was targeted to find solution for certain parameter controlling of a green house in tropical countries including humidity and temperature. The weather parameters are measured and data would be stored in a remote server using IoT enabled weather station. All the controlling algorithms were based on the current data and previously measured data available in the server.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131891640","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520210
D. Truong, Q. C. Tran, P. Tran, M. N. Thi
Adaptive Neural Fuzzy Inference System (ANFIS) is an adaptation and robustness method as it is the combination between the advantages of Artificial Neural Network (ANN) and Fuzzy Logic (FL). Besides, it is also a non-linear controller that can face the different operating points of the system. This paper shows the simulation results of using a Static Synchronous Series Compensator (SSSC) to achieve damping improvement of a grid connected Wind Power (WP) to a multi-machine system was presented. A time-domain scheme based on a nonlinear system model is subject to a three-phase short-circuit fault at the connected bus is utilized to test the effectiveness of the proposed controller. It can be concluded from the simulation results that the proposed SSSC combined to the designed ANFIS damping controller can improve the stability of the studied system under many fault conditions.
{"title":"ANFIS Damping Controller Design for SSSC to Improve Dynamic Stability of a Grid Connected Wind Power Systems","authors":"D. Truong, Q. C. Tran, P. Tran, M. N. Thi","doi":"10.1109/ICSSE.2018.8520210","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520210","url":null,"abstract":"Adaptive Neural Fuzzy Inference System (ANFIS) is an adaptation and robustness method as it is the combination between the advantages of Artificial Neural Network (ANN) and Fuzzy Logic (FL). Besides, it is also a non-linear controller that can face the different operating points of the system. This paper shows the simulation results of using a Static Synchronous Series Compensator (SSSC) to achieve damping improvement of a grid connected Wind Power (WP) to a multi-machine system was presented. A time-domain scheme based on a nonlinear system model is subject to a three-phase short-circuit fault at the connected bus is utilized to test the effectiveness of the proposed controller. It can be concluded from the simulation results that the proposed SSSC combined to the designed ANFIS damping controller can improve the stability of the studied system under many fault conditions.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124630541","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}
Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520016
T. Lu, Chieh-Yu Huang, Yi-Yan Chen, Chun-Lung Chen, Tsung-Ying Lee
With increasing of the development of smart grid and restructuring of the power industry, the efficient operation schedule for a time-of-use (TOU) rate industrial user may become a more important problem in smart cities. This paper develops a stochastic direct search method (SDSM) to solve the operating schedule of a TOU rate industrial user. To effectively overcome the coupling constraints of the operating schedule problem, the three-state dynamic programming (DP) is also incorporated into the SDSM to augment the direct stochastic search procedure. A TOU rate industrial customer of Taiwan Power Company (TPC) is used as an example to validate the feasibility of the SDSM algorithm for the application considered. Numerical experiments are included to illustrate the effects of battery energy storage system (BESS) on operating schedule and to assess the impact and economic benefits of the installation of renewable energy sources (RES) for the TOU rate industrial customer.
{"title":"Efficient Energy Management of a Time-of-Use Rate Industrial User for Smart Cities","authors":"T. Lu, Chieh-Yu Huang, Yi-Yan Chen, Chun-Lung Chen, Tsung-Ying Lee","doi":"10.1109/ICSSE.2018.8520016","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520016","url":null,"abstract":"With increasing of the development of smart grid and restructuring of the power industry, the efficient operation schedule for a time-of-use (TOU) rate industrial user may become a more important problem in smart cities. This paper develops a stochastic direct search method (SDSM) to solve the operating schedule of a TOU rate industrial user. To effectively overcome the coupling constraints of the operating schedule problem, the three-state dynamic programming (DP) is also incorporated into the SDSM to augment the direct stochastic search procedure. A TOU rate industrial customer of Taiwan Power Company (TPC) is used as an example to validate the feasibility of the SDSM algorithm for the application considered. Numerical experiments are included to illustrate the effects of battery energy storage system (BESS) on operating schedule and to assess the impact and economic benefits of the installation of renewable energy sources (RES) for the TOU rate industrial customer.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122096883","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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