Pub Date : 2019-04-01DOI: 10.1109/ICIASE45644.2019.9074010
Yi Lu, Jie Zhou, Mengying Xu
Wireless sensor network (WSN) is a promising technique adopted in many fields of geographical detecting, military use, automotive for target detection, tracking and a number of other aspects. Task allocation has always been an important aspect of the research of wireless sensor networks. In this paper, we will adopt a clone chaotic artificial bee colony algorithm (CCABCA) to solve the task allocation problem in WSNs. The CCABCA has positive aspects of both the better performance of chaotic generator and the convergence ability of the clone operator. Numerical simulations are conducted with CCABCA, grey wolf optimization (GWO), ant colony optimization (ACO) and simulated annealing (SA) and the results are compared to verify the proposed scheme. In simulations, the CCABCA technique has a better performance than GWO, ACO and SA under different conditions, especially for WSNs that have large quantity of nodes and tasks. In addition, the clone operator strategy improves the performance to prevent premature convergence.
{"title":"Wireless sensor networks for task allocation using clone chaotic artificial bee colony algorithm","authors":"Yi Lu, Jie Zhou, Mengying Xu","doi":"10.1109/ICIASE45644.2019.9074010","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074010","url":null,"abstract":"Wireless sensor network (WSN) is a promising technique adopted in many fields of geographical detecting, military use, automotive for target detection, tracking and a number of other aspects. Task allocation has always been an important aspect of the research of wireless sensor networks. In this paper, we will adopt a clone chaotic artificial bee colony algorithm (CCABCA) to solve the task allocation problem in WSNs. The CCABCA has positive aspects of both the better performance of chaotic generator and the convergence ability of the clone operator. Numerical simulations are conducted with CCABCA, grey wolf optimization (GWO), ant colony optimization (ACO) and simulated annealing (SA) and the results are compared to verify the proposed scheme. In simulations, the CCABCA technique has a better performance than GWO, ACO and SA under different conditions, especially for WSNs that have large quantity of nodes and tasks. In addition, the clone operator strategy improves the performance to prevent premature convergence.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123310360","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}
This paper simulates the unit commitment planning and ancillary services in the day-ahead power market of IEEE power system. The unit commitment of power and ancillary services to safe operation of the system planning for Power, Automatic Generation Control (AGC), Real-time Spinning Reserve (RSR) and Supplemental Reserve (SR). This thesis proposed the application of Taguchi Method (TM) for the discretization rule with Enhanced Particle Swarm Optimization (EPSO) to avoid the equality and Inequality of constraint, which can quickly reach the optimal solution with a better performance and accuracy of unit commitment problem for day-ahead power market. Using TM-EPSO algorithm to solve unit commitment and economic dispatch problem which can quickly reach the optimal solution and accuracy for day-ahead power system.
{"title":"The TM-EPSO for Solving the Unit Commitment Planning in the Day-ahead Power System","authors":"Chia-Sheng Tu, Hsi‐Shan Huang, Chih-Cheng Huang, Chih-Ming Hong, Ming-Tang Tsai, F. Cheng","doi":"10.1109/ICIASE45644.2019.9074023","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074023","url":null,"abstract":"This paper simulates the unit commitment planning and ancillary services in the day-ahead power market of IEEE power system. The unit commitment of power and ancillary services to safe operation of the system planning for Power, Automatic Generation Control (AGC), Real-time Spinning Reserve (RSR) and Supplemental Reserve (SR). This thesis proposed the application of Taguchi Method (TM) for the discretization rule with Enhanced Particle Swarm Optimization (EPSO) to avoid the equality and Inequality of constraint, which can quickly reach the optimal solution with a better performance and accuracy of unit commitment problem for day-ahead power market. Using TM-EPSO algorithm to solve unit commitment and economic dispatch problem which can quickly reach the optimal solution and accuracy for day-ahead power system.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125210185","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 : 2019-04-01DOI: 10.1109/ICIASE45644.2019.9074006
S. Wang, Zejie Kuang, Guohe Zhang, Li Sun
The promotion and application of HEVC face a great problem: how to reduce the coding complexity while ensuring the video compression rate. In order to reduce the complexity of renormalization, a fast renormalization algorithm is designed for the entropy coding module. This algorithm can perform renormalization and bit output without complex cyclic processes. At the meanwhile, an appropriate hardware structure is proposed and realized for the algorithm. Experimental results show that the design can reduce the renormalized frequency of 20.8%–25.6% and save the encoding time of 13.6%–30.9%. Moreover, the encoding rate can be up to 89 Mbin/s.
{"title":"Fast Hardware Implementation of Renormalization for Context-based Adaptive Binary Arithmetic Coding","authors":"S. Wang, Zejie Kuang, Guohe Zhang, Li Sun","doi":"10.1109/ICIASE45644.2019.9074006","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074006","url":null,"abstract":"The promotion and application of HEVC face a great problem: how to reduce the coding complexity while ensuring the video compression rate. In order to reduce the complexity of renormalization, a fast renormalization algorithm is designed for the entropy coding module. This algorithm can perform renormalization and bit output without complex cyclic processes. At the meanwhile, an appropriate hardware structure is proposed and realized for the algorithm. Experimental results show that the design can reduce the renormalized frequency of 20.8%–25.6% and save the encoding time of 13.6%–30.9%. Moreover, the encoding rate can be up to 89 Mbin/s.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440377","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 : 2019-04-01DOI: 10.1109/ICIASE45644.2019.9074047
Yi Lu, Jie Zhou, Mengying Xu
Recently, the low energy clustering problem has been studied by numerous researchers and engineers. Such a problem is important in improving low energy consumption. In this paper, we propose an improved chaotic parallel monkey algorithm (ICPMA), a randomized swarm optimization algorithm for low energy clustering in large scale wireless sensor network, motivated by chaotic theory and parallel theory. We first establish a mathematical model for the low energy clustering problem. Based on the monkey algorithm, the new optimization method has many advantages due to blend both the chaotic theory as well as parallel theory. Simulations are conducted to compare and evaluate the energy efficiency of ICPMA with shuffled frog leaping algorithm (SFLA), artificial fish swarm algorithm (AFSA) as well as particle swarm optimization (PSO). In our experiments, we obtain that the novel ICPMA approach, when implemented into LSWSNs, is able to offer better performance and an improving energy efficiency compared to SFLA, AFSA and PSO approach.
{"title":"A Biologically Inspired Low Energy Clustering Method for Large Scale Wireless Sensor Networks","authors":"Yi Lu, Jie Zhou, Mengying Xu","doi":"10.1109/ICIASE45644.2019.9074047","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074047","url":null,"abstract":"Recently, the low energy clustering problem has been studied by numerous researchers and engineers. Such a problem is important in improving low energy consumption. In this paper, we propose an improved chaotic parallel monkey algorithm (ICPMA), a randomized swarm optimization algorithm for low energy clustering in large scale wireless sensor network, motivated by chaotic theory and parallel theory. We first establish a mathematical model for the low energy clustering problem. Based on the monkey algorithm, the new optimization method has many advantages due to blend both the chaotic theory as well as parallel theory. Simulations are conducted to compare and evaluate the energy efficiency of ICPMA with shuffled frog leaping algorithm (SFLA), artificial fish swarm algorithm (AFSA) as well as particle swarm optimization (PSO). In our experiments, we obtain that the novel ICPMA approach, when implemented into LSWSNs, is able to offer better performance and an improving energy efficiency compared to SFLA, AFSA and PSO approach.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910118","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 : 2019-04-01DOI: 10.1109/ICIASE45644.2019.9074026
Qing Fang, X. Ren, Liping Ju, Yushu Zhang, Yang Yu
In recent years, hybrid AC/DC distribution has gained traction in networks due to its technical advantages with distributed generation and DC loads. However, because of its higher initial cost, the hybrid AC/DC grid is not popularly used. Other than the cost and technical aspects, this paper adds the payback assessment of PV integration to techno-economic assessments of hybrid AC/DC networks. This paper also presents a grading scheme to assess the technical and economical aspects together and proposes an overall grade to integrate all the three aspects. The paper considers three forms of PV integration, including one integration form to AC networks and two integration forms to hybrid AC/DC networks. The result has shown that the hybrid AC/DC grid can be practically considered in PV integration.
{"title":"The payback assessment of AC networks and hybrid AC/DC networks in the case of PV integrations","authors":"Qing Fang, X. Ren, Liping Ju, Yushu Zhang, Yang Yu","doi":"10.1109/ICIASE45644.2019.9074026","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074026","url":null,"abstract":"In recent years, hybrid AC/DC distribution has gained traction in networks due to its technical advantages with distributed generation and DC loads. However, because of its higher initial cost, the hybrid AC/DC grid is not popularly used. Other than the cost and technical aspects, this paper adds the payback assessment of PV integration to techno-economic assessments of hybrid AC/DC networks. This paper also presents a grading scheme to assess the technical and economical aspects together and proposes an overall grade to integrate all the three aspects. The paper considers three forms of PV integration, including one integration form to AC networks and two integration forms to hybrid AC/DC networks. The result has shown that the hybrid AC/DC grid can be practically considered in PV integration.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125462808","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 : 2019-04-01DOI: 10.1109/iciase45644.2019.9074095
{"title":"ICIASE 2019 Author Index","authors":"","doi":"10.1109/iciase45644.2019.9074095","DOIUrl":"https://doi.org/10.1109/iciase45644.2019.9074095","url":null,"abstract":"","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128766414","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}
This paper proposes two ECG signal processing algorithms for eliminating baseline drift and electromyogram (EMG) interference. Baseline drift in ECG signals is eliminated using Moving Average Filter (MAF) and the zero-crossing segmentation method is proposed so that the reconstructed ECG signal does not have an abnormal waveform. To eliminate the EMG component, the period-squared empirical learning method of pure EMG and ECG is proposed to find the threshold for identifying EMG, and then the peripheral weighted ECG method is used to reconstruct the ECG signal. Finally, a 12-lead ECG capture and filter board design is also implemented in this paper, which can be used to verify immediate ECG filtering performance.
{"title":"An ECG Extraction and Reconstruction System with Dynamic EMG Filtering Implemented on an ARM Chip","authors":"Chang-Hsi Wu, Wu-Xun Liu, Ming-Sheng Lin, Junji Chen","doi":"10.1109/ICIASE45644.2019.9074076","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074076","url":null,"abstract":"This paper proposes two ECG signal processing algorithms for eliminating baseline drift and electromyogram (EMG) interference. Baseline drift in ECG signals is eliminated using Moving Average Filter (MAF) and the zero-crossing segmentation method is proposed so that the reconstructed ECG signal does not have an abnormal waveform. To eliminate the EMG component, the period-squared empirical learning method of pure EMG and ECG is proposed to find the threshold for identifying EMG, and then the peripheral weighted ECG method is used to reconstruct the ECG signal. Finally, a 12-lead ECG capture and filter board design is also implemented in this paper, which can be used to verify immediate ECG filtering performance.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"697 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132629469","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 : 2019-04-01DOI: 10.1109/ICIASE45644.2019.9074096
Jinan Duan, Chuanshu Yang, Jiang He
One of the key aspects of a successful drilling is effective optimization of ROP (Rate of Penetration). Because of the complexity and heterogeneity of formation permeability, the traditional ROP analysis method are limited by drilling prediction. With the accumulation of geological data and drilling records, new methods such as artificial neural network and particle swarm optimization have become powerful tools for obtaining optimization parameters. A ROP optimization method based on deep learning neural network and particle swarm optimization is proposed. Firstly, the prediction model of target wells is established from well logging data by using deep learning neural network. Secondly, the optimized wellbore operation parameters are obtained by using PSO algorithm. At last, the RNN learning algorithm is updated by introducing recovery factor. And also, for the sake of the realization of constraints, a penalty function is introduced. After analyzed logging data of a group of wells in Shunbei area, the experimental results showed that this method can effectively use engineering data to predict drilling rate and optimize drilling parameters.
{"title":"A ROP Optimization Approach Based on Well Log Data Analysis using Deep Learning Network and PSO","authors":"Jinan Duan, Chuanshu Yang, Jiang He","doi":"10.1109/ICIASE45644.2019.9074096","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074096","url":null,"abstract":"One of the key aspects of a successful drilling is effective optimization of ROP (Rate of Penetration). Because of the complexity and heterogeneity of formation permeability, the traditional ROP analysis method are limited by drilling prediction. With the accumulation of geological data and drilling records, new methods such as artificial neural network and particle swarm optimization have become powerful tools for obtaining optimization parameters. A ROP optimization method based on deep learning neural network and particle swarm optimization is proposed. Firstly, the prediction model of target wells is established from well logging data by using deep learning neural network. Secondly, the optimized wellbore operation parameters are obtained by using PSO algorithm. At last, the RNN learning algorithm is updated by introducing recovery factor. And also, for the sake of the realization of constraints, a penalty function is introduced. After analyzed logging data of a group of wells in Shunbei area, the experimental results showed that this method can effectively use engineering data to predict drilling rate and optimize drilling parameters.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127008257","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 : 2019-04-01DOI: 10.1109/ICIASE45644.2019.9074054
Hai-Wu Lee, Guo-Wei Chen
The laboratory is an important base for experimental teaching, scientific research and technical services in colleges and universities, and one of the basic conditions for running a good school. In response to the repeated setting of teaching resources in the construction and management of university laboratories, the lack of sharing of resources, and the occlusion of information, I have improved and designed the IE3 laboratory dynamic website.This paper adopts two kinds of plans for the front page information display and background management: 1. Front page: user login registration, online consultation, real-time weather, personnel information changes, etc; 2. Background management: personnel flow, material purchase and reimbursement Management and review of updates, permissions, and message information for the front desk.This paper proposes two methods: (1) Browser/Server, B/S and Model View Controller, MVC mode, (2) the server uses Tomcat and Nginx, and uses Spring+SpringMVC+MyBatis, SSM Framework) programming technology, MySQL database, compared to using only traditional C / S (Client/Server) mode and Tomcat, it is efficient.
{"title":"Design of IE3 Laboratory Dynamic Website","authors":"Hai-Wu Lee, Guo-Wei Chen","doi":"10.1109/ICIASE45644.2019.9074054","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074054","url":null,"abstract":"The laboratory is an important base for experimental teaching, scientific research and technical services in colleges and universities, and one of the basic conditions for running a good school. In response to the repeated setting of teaching resources in the construction and management of university laboratories, the lack of sharing of resources, and the occlusion of information, I have improved and designed the IE3 laboratory dynamic website.This paper adopts two kinds of plans for the front page information display and background management: 1. Front page: user login registration, online consultation, real-time weather, personnel information changes, etc; 2. Background management: personnel flow, material purchase and reimbursement Management and review of updates, permissions, and message information for the front desk.This paper proposes two methods: (1) Browser/Server, B/S and Model View Controller, MVC mode, (2) the server uses Tomcat and Nginx, and uses Spring+SpringMVC+MyBatis, SSM Framework) programming technology, MySQL database, compared to using only traditional C / S (Client/Server) mode and Tomcat, it is efficient.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833423","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 : 2019-04-01DOI: 10.1109/ICIASE45644.2019.9074153
Hongyi Wang, Zeyu Qiao, Yanchao Xu, Guohe Zhang
This paper presents a low-noise two-stage operation amplifier design procedure based on standard CMOS process. Unlike the previous researches that depict the design flow based on some simple circuit topologies for simplicity, this paper adopts the folded cascade input and Class AB output two-stage operational amplifier that is more admitted by academia and widely used into industry. This presented procedure begins with the key noise requirement to firstly determine the input difference pair whose transconductance is the most important parameter related to other electrical characters. Then the expressions and relationships of other parameters (such as slew rate, bandwidth, gain, phase margin, power consumption and signal swing) are derived under the constraint of noise requirement. Besides that, all sizes of devices are confirmed considering chip area, matching relation and layout. The low noise amplifier under the guidance of this proposed design procedure is implemented on a standard 0.18μm CMOS process. The measured results and simulation are closed agree with the expect results. So this design procedure offers designers an efficient way from electrical characters to key devices sizes based on the common operation amplifier circuit.
{"title":"Design Procedure for a Folded-Cascode and Class AB Two-Stage CMOS Operational Amplifier","authors":"Hongyi Wang, Zeyu Qiao, Yanchao Xu, Guohe Zhang","doi":"10.1109/ICIASE45644.2019.9074153","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074153","url":null,"abstract":"This paper presents a low-noise two-stage operation amplifier design procedure based on standard CMOS process. Unlike the previous researches that depict the design flow based on some simple circuit topologies for simplicity, this paper adopts the folded cascade input and Class AB output two-stage operational amplifier that is more admitted by academia and widely used into industry. This presented procedure begins with the key noise requirement to firstly determine the input difference pair whose transconductance is the most important parameter related to other electrical characters. Then the expressions and relationships of other parameters (such as slew rate, bandwidth, gain, phase margin, power consumption and signal swing) are derived under the constraint of noise requirement. Besides that, all sizes of devices are confirmed considering chip area, matching relation and layout. The low noise amplifier under the guidance of this proposed design procedure is implemented on a standard 0.18μm CMOS process. The measured results and simulation are closed agree with the expect results. So this design procedure offers designers an efficient way from electrical characters to key devices sizes based on the common operation amplifier circuit.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127837187","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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