Pub Date : 2018-10-26DOI: 10.3991/IJOE.V14I10.9104
U. Dhanalakshmi, V. Bindusree, J. Swetha, D. K. Basha
The existing parking system requires manual support for controlling and monitoring vehicles. The motive of this system is to find out appropriate solution of parking related issues in different aspects. The proposed system can be control the vehicle parking system in shopping malls, Theatres, outdoor stadiums etc. The proposed system consists of two levels of parking for vehicles, where each level has limit of 100. In this proposed parking control system IR sensors will detect and count the number of vehicles on arrival and guided to enter into the vacant parking levels accordingly. This system is designed with automatic lighting and fire detection facility.
{"title":"Unmanned Parking System using Lab view","authors":"U. Dhanalakshmi, V. Bindusree, J. Swetha, D. K. Basha","doi":"10.3991/IJOE.V14I10.9104","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9104","url":null,"abstract":"The existing parking system requires manual support for controlling and monitoring vehicles. The motive of this system is to find out appropriate solution of parking related issues in different aspects. The proposed system can be control the vehicle parking system in shopping malls, Theatres, outdoor stadiums etc. The proposed system consists of two levels of parking for vehicles, where each level has limit of 100. In this proposed parking control system IR sensors will detect and count the number of vehicles on arrival and guided to enter into the vacant parking levels accordingly. This system is designed with automatic lighting and fire detection facility.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133001228","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 : 2018-10-26DOI: 10.3991/IJOE.V14I10.9308
Huaimeng Gui
This paper aims to reduce the estimated distance error (EDE) and location error (LE) of hop-based range-free node positioning algorithms. For this purpose, a novel range free positioning algorithm was proposed based on proximity, denoted as PNN-MAP. First, the proximity was introduced to express the distance between neighbouring nodes and the proximity expression was derived based on the geometric relationship between these nodes. Then, the estimated distance was calculated by the proximity expression and relevant information of anchor nodes, and the unknown node positions were estimated by the MDS-MAP to reduce the LE. Later, the PNN-MAP algorithm was simulated and compared to three other node positioning algorithms. The results show that the proposed algorithm achieved the smallest EDE and LE at different communication radiuses or different number of anchor nodes. In terms of energy consumption, the PNN-MAP had a relatively high traffic volume. However, there is no requirement on the calculation ability of network nodes, and the estimated node positions can be displayed directly on the server after the positioning. In general, the PNN-MAP enjoys a strong practicality and universality. This research promotes the application of wireless sensor networks (WSNs).
{"title":"A Novel Proximity-Based Range-Free Positioning Algorithm for Wireless Sensor Network Nodes","authors":"Huaimeng Gui","doi":"10.3991/IJOE.V14I10.9308","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9308","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">This paper aims to reduce the estimated distance error (EDE) and location error (LE) of hop-based range-free node positioning algorithms. For this purpose, a novel range free positioning algorithm was proposed based on proximity, denoted as PNN-MAP. First, the proximity was introduced to express the distance between neighbouring nodes and the proximity expression was derived based on the geometric relationship between these nodes. Then, the estimated distance was calculated by the proximity expression and relevant information of anchor nodes, and the unknown node positions were estimated by the MDS-MAP to reduce the LE. Later, the PNN-MAP algorithm was simulated and compared to three other node positioning algorithms. The results show that the proposed algorithm achieved the smallest EDE and LE at different communication radiuses or different number of anchor nodes. In terms of energy consumption, the PNN-MAP had a relatively high traffic volume. However, there is no requirement on the calculation ability of network nodes, and the estimated node positions can be displayed directly on the server after the positioning. In general, the PNN-MAP enjoys a strong practicality and universality. This research promotes the application of wireless sensor networks (WSNs).</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130463479","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 : 2018-10-26DOI: 10.3991/IJOE.V14I10.9313
Yaqing Tu, Linfeng Liu, Ming Li, Peng Chen, Yuwen Mao
Human motion monitoring with wearable devices has become a hot research topic in the field of smart wearable devices. In this paper, the principles and historical development of human motion monitoring with wearable devices are analyzed and reviewed, respectively. Specifically, the current situation of human motion monitoring with wearable devices based on acceleration sensors is analyzed first. Then the existing problems and the future developing trends of research on human motion monitoring methods are summarized. Finally, the prospects of the research on of human motion monitoring method with wearable devices are discussed.
{"title":"A Review of Human Motion Monitoring Methods using Wearable Sensors","authors":"Yaqing Tu, Linfeng Liu, Ming Li, Peng Chen, Yuwen Mao","doi":"10.3991/IJOE.V14I10.9313","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9313","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">Human motion monitoring with wearable devices has become a hot research topic in the field of smart wearable devices. In this paper, the principles and historical development of human motion monitoring with wearable devices are analyzed and reviewed, respectively. Specifically, the current situation of human motion monitoring with wearable devices based on acceleration sensors is analyzed first. Then the existing problems and the future developing trends of research on human motion monitoring methods are summarized. Finally, the prospects of the research on of human motion monitoring method with wearable devices are discussed.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121440961","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 : 2018-10-26DOI: 10.3991/ijoe.v14i10.7507
Worawut Yimyam, M. Ketcham
Researchers propose new algorithm to monitor fatigue of driver by tracking the movements of the eyes. This can classify the opening and closing eyes by using Haar-Like Features and Region of Interest techniques. The fatique can be classified by decision tree classification. The system works in real time and sends message to the mobile phone to alert the driver via Line Application. The results showed that the program can detect face and classify opening and closing eyes accurately at 99.93 percent in which it yielded higher accuracy than other algorithms.
{"title":"The System for Driver Fatigue Monitoring Using Decision Tree via Wireless Sensor Network for Intelligent Transport System","authors":"Worawut Yimyam, M. Ketcham","doi":"10.3991/ijoe.v14i10.7507","DOIUrl":"https://doi.org/10.3991/ijoe.v14i10.7507","url":null,"abstract":"Researchers propose new algorithm to monitor fatigue of driver by tracking the movements of the eyes. This can classify the opening and closing eyes by using Haar-Like Features and Region of Interest techniques. The fatique can be classified by decision tree classification. The system works in real time and sends message to the mobile phone to alert the driver via Line Application. The results showed that the program can detect face and classify opening and closing eyes accurately at 99.93 percent in which it yielded higher accuracy than other algorithms.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122273129","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 : 2018-10-26DOI: 10.3991/IJOE.V14I10.9301
Beichen Chen
This paper aims to enhance the positioning accuracy of wireless sensor network (WSN) nodes. For this purpose, a WSN node positioning algorithm was proposed based on artificial bee colony (ABC) algorithm and the neural network (NN). First, the parameters between three anchor nodes and the target node were measured. Then, the ABC and NN were introduced to simulate and predict the ranging error, and the weight was determined according to the results. In the proposed algorithm, the cluster structure was effectively combined with the NN model. The weight of backpropagation NN was optimized by the ant colony optimization (ACO) algorithm. Then, the ACO-optimized NN was used to fuse the data collected by WSN nodes. The simulation results show that the proposed algorithm can improve the positioning accuracy of WSN nodes and reduce the time of the search. The research findings shed new light on the positioning of WSN nodes.
{"title":"A Novel Wireless Sensor Node Positioning Algorithm Based on Ant Colony Optimization Algorithm and Neural Network","authors":"Beichen Chen","doi":"10.3991/IJOE.V14I10.9301","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9301","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">This paper aims to enhance the positioning accuracy of wireless sensor network (WSN) nodes. For this purpose, a WSN node positioning algorithm was proposed based on artificial bee colony (ABC) algorithm and the neural network (NN). First, the parameters between three anchor nodes and the target node were measured. Then, the ABC and NN were introduced to simulate and predict the ranging error, and the weight was determined according to the results. In the proposed algorithm, the cluster structure was effectively combined with the NN model. The weight of backpropagation NN was optimized by the ant colony optimization (ACO) algorithm. Then, the ACO-optimized NN was used to fuse the data collected by WSN nodes. The simulation results show that the proposed algorithm can improve the positioning accuracy of WSN nodes and reduce the time of the search. The research findings shed new light on the positioning of WSN nodes.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114415077","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 : 2018-10-26DOI: 10.3991/IJOE.V14I10.9306
Xianfeng Yang, Xiaojian Jia
With multi-frame image processing based on wireless sensor network as research object, this study analyzes the problems existing in the two classic multi-node collaborative distributed image processing algorithms based on wavelet transform using literature analysis, simulation experiment, data analysis and other research methods, proposes a distributed image compression algorithm based on SHIHT with the application of wireless sensor network, SPIHT algorithm and wavelet transform to image compression as theoretical foundations, and adopts the matrix laboratory to simulate the energy performance of the algorithm. Through comparative analysis, the feasibility of distributed image compression algorithm based on SHIHT presented in this study is verified.
{"title":"Multi-frame Image Processing Based on Wireless Sensor Networks","authors":"Xianfeng Yang, Xiaojian Jia","doi":"10.3991/IJOE.V14I10.9306","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9306","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">With multi-frame image processing based on wireless sensor network as research object, this study analyzes the problems existing in the two classic multi-node collaborative distributed image processing algorithms based on wavelet transform using literature analysis, simulation experiment, data analysis and other research methods, proposes a distributed image compression algorithm based on SHIHT with the application of wireless sensor network, SPIHT algorithm and wavelet transform to image compression as theoretical foundations, and adopts the matrix laboratory to simulate the energy performance of the algorithm. Through comparative analysis, the feasibility of distributed image compression algorithm based on SHIHT presented in this study is verified.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129474314","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 : 2018-10-26DOI: 10.3991/IJOE.V14I10.9309
Zhinan Zhou, Wendi Wang, Yuxia Li
This paper aims to disclose the features of virus propagation in wireless sensor networks (WSNs). To this end, the author analysed the data transmission mode of WSNs which follow IPv6 protocol. Then, the virus propagation in such networks was simulated and discussed under different scenarios. Based on the simulation results and the traditional virus propagation model, a new model was put forward to describe the virus transmission in IPv6 WSNs. The proposed model lays a theoretical basis for relevant studies and the guarantee of WSN security.
{"title":"Virus Propagation Model for Wireless Sensor Networks Based on IPv6","authors":"Zhinan Zhou, Wendi Wang, Yuxia Li","doi":"10.3991/IJOE.V14I10.9309","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9309","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-GB; mso-bidi-language: AR-SA;\" lang=\"EN-GB\">This paper aims to disclose the features of virus propagation in wireless sensor networks (WSNs). To this end, the author analysed the data transmission mode of WSNs which follow IPv6 protocol. Then, the virus propagation in such networks was simulated and discussed under different scenarios. Based on the simulation results and the traditional virus propagation model, a new model was put forward to describe the virus transmission in IPv6 WSNs. The proposed model lays a theoretical basis for relevant studies and the guarantee of WSN security.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128989836","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 : 2018-10-26DOI: 10.3991/ijoe.v14i10.9305
Guohong Gao, Feng Wei, Jianping Wang
This paper aims to create a desirable positioning method for nodes in wireless sensor networks (WSNs). For this purpose, a source node positioning algorithm was developed based on time-of-arrival (TOA), in view of the nonlinear correlation between the measured values and unknown parameters in the observation equation of TOA source position. Several experiments were carried out to evaluate the performance of the proposed algorithm in terms of time measurement error, computing complexity, location error and Cramér–Rao lower bound (CRLB). The results show that the CRLB acquired by this algorithm can be used for WSN node positioning, provided that the independent zero mean Gauss measurement error is sufficiently small. The research findings lay a solid technical basis for optimal management, load balance, efficient routing, and automatic topology control of WSNs.
{"title":"Development and Application of a New Positioning Algorithm for Wireless Sensor Networks","authors":"Guohong Gao, Feng Wei, Jianping Wang","doi":"10.3991/ijoe.v14i10.9305","DOIUrl":"https://doi.org/10.3991/ijoe.v14i10.9305","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">This paper aims to create a desirable positioning method for nodes in wireless sensor networks (WSNs). For this purpose, a source node positioning algorithm was developed based on time-of-arrival (TOA), in view of the nonlinear correlation between the measured values and unknown parameters in the observation equation of TOA source position. Several experiments were carried out to evaluate the performance of the proposed algorithm in terms of time measurement error, computing complexity, location error and Cramér–Rao lower bound (CRLB). The results show that the CRLB acquired by this algorithm can be used for WSN node positioning, provided that the independent zero mean Gauss measurement error is sufficiently small. The research findings lay a solid technical basis for optimal management, load balance, efficient routing, and automatic topology control of WSNs.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120818860","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 : 2018-10-26DOI: 10.3991/IJOE.V14I10.9311
He Yuan, Jing-chao Song
More and more modern devices are controlled by miniature special motors. But many existing miniature special motors are using mostly independent test methods through wire communication. In this paper, starting from the requirements of motor testing and the situation of workshop environment, a motor measurement and control system based on wireless sensor network is proposed and designed. This paper elaborates the relevant technical analysis and specific implementation of TT & C module, wireless terminal, wireless router, wireless gateway and host computer measurement and control module. At last, the test function and effect of the system are explained according to the test samples. The reliability and stability of the system are verified through reliability analysis.
{"title":"Design of Motor Control System Based on Wireless Sensor Network","authors":"He Yuan, Jing-chao Song","doi":"10.3991/IJOE.V14I10.9311","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9311","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">More and more modern devices are controlled by miniature special motors. But many existing miniature special motors are using mostly independent test methods through wire communication. In this paper, starting from the requirements of motor testing and the situation of workshop environment, a motor measurement and control system based on wireless sensor network is proposed and designed. This paper elaborates the relevant technical analysis and specific implementation of TT & C module, wireless terminal, wireless router, wireless gateway and host computer measurement and control module. At last, the test function and effect of the system are explained according to the test samples. The reliability and stability of the system are verified through reliability analysis.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123601141","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 : 2018-10-26DOI: 10.3991/IJOE.V14I10.9304
M. Hong
Electronic nose gas recognizer is a kind of instrument simulating biological olfactory function for gas detection, which is widely applied in underground construction, aerospace, medical treatment and other fields. The sensing mechanism of the wireless sensor is complex. The wireless sensor array can realize the cross-response of the mixed gas, as well as data acquisition, processing and transmission by wireless transmission. This study applies the wireless sensor array to the electronic nose gas recognition technology, and conducts detection and recognition of three kinds of volatile gas, as well as analyzes the transient response of four wireless sensors and the transient response of wireless sensor array. It is found that the transient response curves are related to the characteristics and sample properties of wireless sensors, but not directly related to sample components. The whole transient response process includes four processes, namely steady state, rising process, maximum response and falling process. The response curve change of wireless sensor array to engine oil volatile gas is similar to that of diesel oil, but the conductance value is smaller than that of diesel oil gas response curve.
{"title":"Key Technology of Electronic Nose Gas Recognizer Based on Wireless Sensor Networks","authors":"M. Hong","doi":"10.3991/IJOE.V14I10.9304","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9304","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">Electronic nose gas recognizer is a kind of instrument simulating biological olfactory function for gas detection, which is widely applied in underground construction, aerospace, medical treatment and other fields. The sensing mechanism of the wireless sensor is complex. The wireless sensor array can realize the cross-response of the mixed gas, as well as data acquisition, processing and transmission by wireless transmission. This study applies the wireless sensor array to the electronic nose gas recognition technology, and conducts detection and recognition of three kinds of volatile gas, as well as analyzes the transient response of four wireless sensors and the transient response of wireless sensor array. It is found that the transient response curves are related to the characteristics and sample properties of wireless sensors, but not directly related to sample components. The whole transient response process includes four processes, namely steady state, rising process, maximum response and falling process. The response curve change of wireless sensor array to engine oil volatile gas is similar to that of diesel oil, but the conductance value is smaller than that of diesel oil gas response curve.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120942712","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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