Some features commonly used to conduct image retrieval are color, texture and edge. Multi Texton Co-Occurrence Descriptor (MTCD) is a method which uses all three features to perform image retrieval. This method has a high precision when doing retrieval on a patterned image such as Batik images. However, for images focusing on object detection like corel images, its precision decreases. This study proposes the use of KNN method to improve the precision of MTCD method by re-ranking the retrieval results from MTCD. The results show that the method is able to increase the precision by 0.8% for Batik images and 9% for corel images.
{"title":"Re-Ranking Image Retrieval on Multi Texton Co-Occurrence Descriptor Using K-Nearest Neighbor","authors":"Yufis Azhar, A. E. Minarno, Yuda Munarko","doi":"10.11591/eecsi.v5.1683","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1683","url":null,"abstract":"Some features commonly used to conduct image retrieval are color, texture and edge. Multi Texton Co-Occurrence Descriptor (MTCD) is a method which uses all three features to perform image retrieval. This method has a high precision when doing retrieval on a patterned image such as Batik images. However, for images focusing on object detection like corel images, its precision decreases. This study proposes the use of KNN method to improve the precision of MTCD method by re-ranking the retrieval results from MTCD. The results show that the method is able to increase the precision by 0.8% for Batik images and 9% for corel images.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76947307","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}
D. I. Sensuse, I. A. Wulandari, Erzi Hidayat, Elin Cahyaningsih, P. Sukmasetya, Wina Permana Sari
This paper is a continuation of previous research focusing on the development of a model of knowledge management system for civil servant from three ministries in Indonesia (KEMENPAN&RB, BKN, and LAN). From previous study obtain a knowledge management model which is Government Human Capital Knowledge Management of Republic of Indonesia (NUSANTARA). Implementation of this model is conducted with web system, further development of this system still provides constraints from several sides in providing more optimal service against users requirements as well as limited accessibility and responsiveness. This paper aims to explore the supporting features that will be used to integrate pre- existing systems that build mobile knowledge management applications. Data were collected by interview from each related institution. The CommonKADS method is chosen as a technique to explore the problems and knowledge of each organization. SMAPA method is used to validate the result from the experts and end users. Results of this work are produced seven recommended supporting features there are vision and mission view, activity notification, group discussion, search repository, upload document and document activities log.
{"title":"Determine supporting features for mobile application of NUSANTARA","authors":"D. I. Sensuse, I. A. Wulandari, Erzi Hidayat, Elin Cahyaningsih, P. Sukmasetya, Wina Permana Sari","doi":"10.11591/eecsi.v5.1687","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1687","url":null,"abstract":"This paper is a continuation of previous research focusing on the development of a model of knowledge management system for civil servant from three ministries in Indonesia (KEMENPAN&RB, BKN, and LAN). From previous study obtain a knowledge management model which is Government Human Capital Knowledge Management of Republic of Indonesia (NUSANTARA). Implementation of this model is conducted with web system, further development of this system still provides constraints from several sides in providing more optimal service against users requirements as well as limited accessibility and responsiveness. This paper aims to explore the supporting features that will be used to integrate pre- existing systems that build mobile knowledge management applications. Data were collected by interview from each related institution. The CommonKADS method is chosen as a technique to explore the problems and knowledge of each organization. SMAPA method is used to validate the result from the experts and end users. Results of this work are produced seven recommended supporting features there are vision and mission view, activity notification, group discussion, search repository, upload document and document activities log.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"117 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89479088","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}
Wind turbines have maximum mechanical power at certain wind speeds. Maximum Power Point Tracking (MPPT) is an electronic system capable of extracting maximum wind turbine power. The purpose of this research is to improve wind power efficiency through MPPT wind power design with four switch buck boost converter and Fuzzy control algorithm. Fuzzy control has two inputs are power changes and voltage changes and one output feeding to the pulse width modulation generator to control FSBB. Simulation results with Matlab simulink shows that wind power without MPPT produce 89% power efficiency, wind power MPPT with two switch buck boost converter yield 90% power efficiency and emerging high ripple current. The last simulation of wind power MPPT with FSBB produces the highest efficiency of 91% with low ripple current.
{"title":"Circuit Simulation for Wind Power Maximum Power Point Tracking with Four Switch Buck Boost Converter","authors":"M. Effendy, Khusnul Hidayat, N. Mardiyah","doi":"10.11591/EECSI.V5.1714","DOIUrl":"https://doi.org/10.11591/EECSI.V5.1714","url":null,"abstract":"Wind turbines have maximum mechanical power at certain wind speeds. Maximum Power Point Tracking (MPPT) is an electronic system capable of extracting maximum wind turbine power. The purpose of this research is to improve wind power efficiency through MPPT wind power design with four switch buck boost converter and Fuzzy control algorithm. Fuzzy control has two inputs are power changes and voltage changes and one output feeding to the pulse width modulation generator to control FSBB. Simulation results with Matlab simulink shows that wind power without MPPT produce 89% power efficiency, wind power MPPT with two switch buck boost converter yield 90% power efficiency and emerging high ripple current. The last simulation of wind power MPPT with FSBB produces the highest efficiency of 91% with low ripple current.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79664061","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}
A Magnetorheological Elastomer (MRE) is a smart material and that could change their properties by exposure to stimuli such as electric and magnetic fields, stress moisture and temperature. Objective of this research is to develop a MRE as vibration isolator of a beam sandwich under different currents to get different stiffness of the MRE. A MRE was fabricated by mixing silicon rubber, silicon oil and carbonyl iron particles together and then cured for 24 hours in a circular mold. Experimental result shows that that there were decreases in amplitude of the vibration in time and frequency domains when the current applied to the coil is increased.
{"title":"Vibration Control of Magnetorheological Elastomer Beam Sandwich","authors":"G. Priyandoko, T. Kurniawan, Saffirna Mohd Soffie","doi":"10.11591/EECSI.V5.1629","DOIUrl":"https://doi.org/10.11591/EECSI.V5.1629","url":null,"abstract":"A Magnetorheological Elastomer (MRE) is a smart material and that could change their properties by exposure to stimuli such as electric and magnetic fields, stress moisture and temperature. Objective of this research is to develop a MRE as vibration isolator of a beam sandwich under different currents to get different stiffness of the MRE. A MRE was fabricated by mixing silicon rubber, silicon oil and carbonyl iron particles together and then cured for 24 hours in a circular mold. Experimental result shows that that there were decreases in amplitude of the vibration in time and frequency domains when the current applied to the coil is increased.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80635024","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}
Clarita I. Nainggolan, F. Azzahro, P. W. Handayani
The growing number of mobile users encourages companies to take advantage of these opportunities to improve their marketing strategy. One of the marketing strategies that can be done through mobile devices is mobile advertising. However, the problem is that many users still consider mobile advertising as spam and many companies do not know how to start mobile advertising. While to start mobile advertising, must first understand the attitude of mobile users themselves. Therefore, this study aims to analyze the factors that can affecting Tokopedia application user's attitude to mobile advertising seen from affective and cognitive side. Additionally, this study aims to analyze the impact of mobile advertising on purchase intention of users to purchase products or services offered through mobile advertising. This research uses quantitative approach which is done by collecting respond from 565 Tokopedia application user's. The data is then analyzed using CB-SEM method using AMOS 21. Based on the results of analysis, the writers found that perceived ease of use, perceived usefulness, positive emotions, and negative emotions affect the user's attitude towards mobile advertising. Next, attitude also has an effect on user's purchase intention on advertised products or services.
{"title":"Factors Affecting Users' Purchase Intention and Attitudes towards Mobile Advertising","authors":"Clarita I. Nainggolan, F. Azzahro, P. W. Handayani","doi":"10.11591/eecsi.v5.1632","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1632","url":null,"abstract":"The growing number of mobile users encourages companies to take advantage of these opportunities to improve their marketing strategy. One of the marketing strategies that can be done through mobile devices is mobile advertising. However, the problem is that many users still consider mobile advertising as spam and many companies do not know how to start mobile advertising. While to start mobile advertising, must first understand the attitude of mobile users themselves. Therefore, this study aims to analyze the factors that can affecting Tokopedia application user's attitude to mobile advertising seen from affective and cognitive side. Additionally, this study aims to analyze the impact of mobile advertising on purchase intention of users to purchase products or services offered through mobile advertising. This research uses quantitative approach which is done by collecting respond from 565 Tokopedia application user's. The data is then analyzed using CB-SEM method using AMOS 21. Based on the results of analysis, the writers found that perceived ease of use, perceived usefulness, positive emotions, and negative emotions affect the user's attitude towards mobile advertising. Next, attitude also has an effect on user's purchase intention on advertised products or services.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"51 Pt 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83894590","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}
Nurissaidah Ulinnuha, Muhammad Thohir, D. C. R. Novitasari, Ahmad Hanif Asyhar, A. Z. Arifin
Plagiarism prevention efforts are being evolved in various sector. Designing and developing plagiarism checker applications is the purpose of this paper. Specifically by knowing the percentage of similarity between the original document and the test document. Winnowing algorithm is used because it can detect plagiarism in documents up to sub-section of the document. In this paper using three validators consisting of computational mathematicians, software engineering experts, and users to test the feasibility of the application. Experiment using several scenarios, the result of the equation using winnowing algorithm is 90.12%.
{"title":"Implementation of Winnowing Algorithm for Document Plagiarism Detection","authors":"Nurissaidah Ulinnuha, Muhammad Thohir, D. C. R. Novitasari, Ahmad Hanif Asyhar, A. Z. Arifin","doi":"10.11591/EECSI.V5.1599","DOIUrl":"https://doi.org/10.11591/EECSI.V5.1599","url":null,"abstract":"Plagiarism prevention efforts are being evolved in various sector. Designing and developing plagiarism checker applications is the purpose of this paper. Specifically by knowing the percentage of similarity between the original document and the test document. Winnowing algorithm is used because it can detect plagiarism in documents up to sub-section of the document. In this paper using three validators consisting of computational mathematicians, software engineering experts, and users to test the feasibility of the application. Experiment using several scenarios, the result of the equation using winnowing algorithm is 90.12%.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89918599","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 : 2018-11-01DOI: 10.11591/EECSI.V5I5.1680
E. Wahyuni, Ahmad Ramadhan
There has been considerable research that addresses the diagnosis of pneumonia based on symptoms experienced by the patient, some using artificial intelligent methods such as monoton and non monoton methods with mixed results, based on previous studies to develop and improve previous research deficiencies because they refer to the results is expected to be useful by experts, especially lung specialists in Indonesia, The reference used by Indonesian pulmonary specialist is the value of Pneumonia Severity Index (PSI) which is used to classify Pneumonia level, then the expected results are qualitative and unambiguous outputs therefore fuzzy logic Sugeno method is very suitable to overcome the problem. Fuzzy logic Sugeno has been successfully applied in pneumonia disease and matched with the Pneumonia Severity Index Score in the amount of 75% based on 4 data has been tested.
{"title":"Application for the diagnosis of pneumonia based on Pneumonia Severity Index (PSI) values","authors":"E. Wahyuni, Ahmad Ramadhan","doi":"10.11591/EECSI.V5I5.1680","DOIUrl":"https://doi.org/10.11591/EECSI.V5I5.1680","url":null,"abstract":"There has been considerable research that addresses the diagnosis of pneumonia based on symptoms experienced by the patient, some using artificial intelligent methods such as monoton and non monoton methods with mixed results, based on previous studies to develop and improve previous research deficiencies because they refer to the results is expected to be useful by experts, especially lung specialists in Indonesia, The reference used by Indonesian pulmonary specialist is the value of Pneumonia Severity Index (PSI) which is used to classify Pneumonia level, then the expected results are qualitative and unambiguous outputs therefore fuzzy logic Sugeno method is very suitable to overcome the problem. Fuzzy logic Sugeno has been successfully applied in pneumonia disease and matched with the Pneumonia Severity Index Score in the amount of 75% based on 4 data has been tested.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90984358","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}
T. Dewantoro, R. Sigit, Heny Yuniarti, Yudith Dian Prawitri, Fridastya Andini Pamudyaningrum, M. I. Awal
Medical rehabilitation is one of the efforts to restore motor function of post-stroke patients, but the biggest factor that makes patients quickly restore motor function by active patient movement exercises. The movement in question is the movement carried out every day outside medical rehabilitation at the hospital. On the other hand, patients are reluctant to do therapy independently outside the hospital, because there is no tool that supports patients to do so. So, we need a device that helps patients to do therapy independently. The device is connected to Myo Armband to read the gestures of the patient by looking at the EMG signal from the patient's hand. Then the system performs matching gestures during therapy with EMG signal data that has been trained. The motion matching is done by calculating the Euclidean distance between the two EMG signal data obtained from the Myo Armband device. From the results of the tests carried out, the accuracy of movement matching results obtained an average accuracy of 89.67 percent for flexion-extension gestures and 82 percent for pronation-supination gestures. It can be concluded that Myo Armband in the Mobile Application can be used for Rehabilitation of post stroke patient hands.
{"title":"Implementation of Myo Armband on Mobile Application for Post-stroke Patient Hand Rehabilitation","authors":"T. Dewantoro, R. Sigit, Heny Yuniarti, Yudith Dian Prawitri, Fridastya Andini Pamudyaningrum, M. I. Awal","doi":"10.11591/eecsi.v5.1585","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1585","url":null,"abstract":"Medical rehabilitation is one of the efforts to restore motor function of post-stroke patients, but the biggest factor that makes patients quickly restore motor function by active patient movement exercises. The movement in question is the movement carried out every day outside medical rehabilitation at the hospital. On the other hand, patients are reluctant to do therapy independently outside the hospital, because there is no tool that supports patients to do so. So, we need a device that helps patients to do therapy independently. The device is connected to Myo Armband to read the gestures of the patient by looking at the EMG signal from the patient's hand. Then the system performs matching gestures during therapy with EMG signal data that has been trained. The motion matching is done by calculating the Euclidean distance between the two EMG signal data obtained from the Myo Armband device. From the results of the tests carried out, the accuracy of movement matching results obtained an average accuracy of 89.67 percent for flexion-extension gestures and 82 percent for pronation-supination gestures. It can be concluded that Myo Armband in the Mobile Application can be used for Rehabilitation of post stroke patient hands.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77679648","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}
One of the recently proposed algorithms in the field of bio-inspired algorithm is the Hungry Roach Infestation Optimization (HRIO) algorithm. Haven has developed optimization algorithms HRIO that is inspired by recent discoveries in the social behaviour of cockroaches. Result showed that HRIO was effective at finding the global optima of a suite of test functions. However, there is no researcher who has observed HRIO for solving discrete problems. Therefore, we try to develop a discrete-cockroach algorithm (DCA) as the modification of HRIO for solving discrete optimization problem. We test the algorithm to solve bio-computation problem using single and multi-objectives optimization. The results showed DCA has better performance compared to the existed bio-inspired optimization algorithms such as genetic algorithms (GA) and discrete-particle swarm optimization (discrete-PSO).
{"title":"Development of Discrete-Cockroach Algorithm (DCA) for Feature Selection Optimization","authors":"Y. Hendrawan, Muchnuria Rachmawati, M. R. Fauzy","doi":"10.11591/EECSI.V5.1639","DOIUrl":"https://doi.org/10.11591/EECSI.V5.1639","url":null,"abstract":"One of the recently proposed algorithms in the field of bio-inspired algorithm is the Hungry Roach Infestation Optimization (HRIO) algorithm. Haven has developed optimization algorithms HRIO that is inspired by recent discoveries in the social behaviour of cockroaches. Result showed that HRIO was effective at finding the global optima of a suite of test functions. However, there is no researcher who has observed HRIO for solving discrete problems. Therefore, we try to develop a discrete-cockroach algorithm (DCA) as the modification of HRIO for solving discrete optimization problem. We test the algorithm to solve bio-computation problem using single and multi-objectives optimization. The results showed DCA has better performance compared to the existed bio-inspired optimization algorithms such as genetic algorithms (GA) and discrete-particle swarm optimization (discrete-PSO).","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80751063","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}
Cucun Very Angkoso, Y. F. Hendrawan, Ari Kusumaningsih, Rima Tri Wahyuningrum
Malaria, as a dangerous disease globally, can be reduced its number of victims by finding a method of infection detection that is fast and reliable. Computer-based detection methods make it easier to identify the presence of plasmodium in blood smear images. This kind of methods is suitable for use in locations far from the availability of health experts. This study explores the use of two methods of machine learning on Cascading Color Framework, ie Backpropagation Neural Network and Support Vector Machine. Both methods were used as classifier in detecting malaria infection. From the experimental results it was found that Cascading Color Framework improved the classifier performance for both in Support Vector Machine and Backpropagation Neural Network.
{"title":"Performance Analysis of Color Cascading Framework on Two Different Classifiers in Malaria Detection","authors":"Cucun Very Angkoso, Y. F. Hendrawan, Ari Kusumaningsih, Rima Tri Wahyuningrum","doi":"10.11591/eecsi.v5.1605","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1605","url":null,"abstract":"Malaria, as a dangerous disease globally, can be reduced its number of victims by finding a method of infection detection that is fast and reliable. Computer-based detection methods make it easier to identify the presence of plasmodium in blood smear images. This kind of methods is suitable for use in locations far from the availability of health experts. This study explores the use of two methods of machine learning on Cascading Color Framework, ie Backpropagation Neural Network and Support Vector Machine. Both methods were used as classifier in detecting malaria infection. From the experimental results it was found that Cascading Color Framework improved the classifier performance for both in Support Vector Machine and Backpropagation Neural Network.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88966337","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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