E. Budiman, M. Wati, J. A. Widians, N. Puspitasari, M. Firdaus, F. Alameka
The papers discuss and evaluate the quality of student academic portal using ISO / IEC 9126 quality modeling approach. Quality factors are tested and analyzed are characteristics of Usability, Reliability, Efficiency, and Portability, this evaluation is very important, considering the number of users of the portal system so much and growing. one of the efforts to improve and optimize the performance of the academic information system management team. Evaluate the quality of the user perception approach 10 principles of usability heuristics and internal site performance testing or web server. The results of analysis and testing of 4 quality characteristics have issued several recommendations for improvement and optimization of the performance of student academic portals.
{"title":"ISO/IEC 9126 Quality Model for Evaluation of Student Academic Portal","authors":"E. Budiman, M. Wati, J. A. Widians, N. Puspitasari, M. Firdaus, F. Alameka","doi":"10.11591/EECSI.V5.1670","DOIUrl":"https://doi.org/10.11591/EECSI.V5.1670","url":null,"abstract":"The papers discuss and evaluate the quality of student academic portal using ISO / IEC 9126 quality modeling approach. Quality factors are tested and analyzed are characteristics of Usability, Reliability, Efficiency, and Portability, this evaluation is very important, considering the number of users of the portal system so much and growing. one of the efforts to improve and optimize the performance of the academic information system management team. Evaluate the quality of the user perception approach 10 principles of usability heuristics and internal site performance testing or web server. The results of analysis and testing of 4 quality characteristics have issued several recommendations for improvement and optimization of the performance of student academic portals.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88940375","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}
Pub Date : 2018-11-01DOI: 10.11591/eecsi.v5i5.1606
A. Prabawati, I. P. Widyana, S. Suyoto
The rapid development of mobile-based information technology, can change an existing business process. Such as loss of distributors in a single chain of business processes. Mobile Commerce industry is getting a good condition to grow. With the decrease in Mobile communication costs, more and more people are using mobile computing devices that can connect to the Internet. There are several m-Commerce applications in Indonesia, namely Lazada, Tokopedia, Buka Lapak, Shoppee and etc. The existence of these applications in Indonesia traders switch to online stores. This study takes three examples of m-Commerce applications in Indonesia with the top three criteria in terms of the best reviews and the highest number of reviews. The results of the sampling application is Lazada, Tokopedia and Buka Lapak. The process of collecting data taken will be analyzed to know about the level of consumer confidence in an m-Commerce application. This is evidenced by a collection of examples of online stores that exist in m-Commerce applications that inform ratings, discount information and existing features. The results obtained from this research is, consumer confidence can be seen from the review feedback that exist in each - each m-Commerce. Many discounts and low prices have no effect on consumer buying interest in the online store. The researcher's suggestion is to reward the most traded buyers with points that can be redeemed for certain goods, discounted goods or subsidized postage.
{"title":"Analysis of Consumer Confidence on Mobile Commerce in Indonesia","authors":"A. Prabawati, I. P. Widyana, S. Suyoto","doi":"10.11591/eecsi.v5i5.1606","DOIUrl":"https://doi.org/10.11591/eecsi.v5i5.1606","url":null,"abstract":"The rapid development of mobile-based information technology, can change an existing business process. Such as loss of distributors in a single chain of business processes. Mobile Commerce industry is getting a good condition to grow. With the decrease in Mobile communication costs, more and more people are using mobile computing devices that can connect to the Internet. There are several m-Commerce applications in Indonesia, namely Lazada, Tokopedia, Buka Lapak, Shoppee and etc. The existence of these applications in Indonesia traders switch to online stores. This study takes three examples of m-Commerce applications in Indonesia with the top three criteria in terms of the best reviews and the highest number of reviews. The results of the sampling application is Lazada, Tokopedia and Buka Lapak. The process of collecting data taken will be analyzed to know about the level of consumer confidence in an m-Commerce application. This is evidenced by a collection of examples of online stores that exist in m-Commerce applications that inform ratings, discount information and existing features. The results obtained from this research is, consumer confidence can be seen from the review feedback that exist in each - each m-Commerce. Many discounts and low prices have no effect on consumer buying interest in the online store. The researcher's suggestion is to reward the most traded buyers with points that can be redeemed for certain goods, discounted goods or subsidized postage.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"122 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89639895","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}
Renewable energy is an energy of unlimited sources that covering wind, sunshine and water, which can be used as sources of renewable power plants. These power plants give several advantages, but also some disadvantages, such as expensive generation costs, etc. The difficulty of being raised, due instability of renewable energy resources (RER). Aim of this study is to design power management of a hybrid system based on operational control system due to load demand. In this study, Power Management of Hybrid System used 3 power plants: Photovoltaic (PV), Wind Power, and Micro Hydro Power Plant (PLTmH), while Battery was employed as storage system. Main focus of the work was to determine the activation of each plant using Artificial Neural Network (ANN) method to fulfill the load demand. Matlab Simulink was employed to developed and simulate the ANN on the system. From results of simulation can be concluded that ANN can reach target accuracy level in 80%. When interconnecting the entire plant, the ANN experienced a misreading due to the voltage drop in each generator that affected the ANN input.
{"title":"Design of Hybrid System Power Management Based Operational Control System to Meet Load Demand","authors":"Zulfatman Has, N. Nurhadi, F. Faizal","doi":"10.11591/eecsi.v5.1713","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1713","url":null,"abstract":"Renewable energy is an energy of unlimited sources that covering wind, sunshine and water, which can be used as sources of renewable power plants. These power plants give several advantages, but also some disadvantages, such as expensive generation costs, etc. The difficulty of being raised, due instability of renewable energy resources (RER). Aim of this study is to design power management of a hybrid system based on operational control system due to load demand. In this study, Power Management of Hybrid System used 3 power plants: Photovoltaic (PV), Wind Power, and Micro Hydro Power Plant (PLTmH), while Battery was employed as storage system. Main focus of the work was to determine the activation of each plant using Artificial Neural Network (ANN) method to fulfill the load demand. Matlab Simulink was employed to developed and simulate the ANN on the system. From results of simulation can be concluded that ANN can reach target accuracy level in 80%. When interconnecting the entire plant, the ANN experienced a misreading due to the voltage drop in each generator that affected the ANN input.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90266006","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}
Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can't store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system.
{"title":"Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm","authors":"Achmad Fitro, S. Suryono, R. Kusumaningrum","doi":"10.11591/EECSI.V5.1604","DOIUrl":"https://doi.org/10.11591/EECSI.V5.1604","url":null,"abstract":"Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can't store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90286603","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}
Taruna Diyapradana, D. N. Utama, A. Fajar, Gunawan Wang
The Internet has made sharing information easier. By extension, it has also made sharing things easier. The problem is gauging the user experience of free E-commerce websites such as Babacucu.com to see whether people are interested to visit it or not. One of the elements of user experience is usability, that will be measured in this research. The methods used to measure the usability are questionnaires and usability testing with the users of Babacucu as subjects. The results of this study are the level of usability of Babacucu.com and recommendations on how to improve the site's usability.
{"title":"User Experience Analysis of the Users Babacucu.Com","authors":"Taruna Diyapradana, D. N. Utama, A. Fajar, Gunawan Wang","doi":"10.11591/eecsi.v5.1654","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1654","url":null,"abstract":"The Internet has made sharing information easier. By extension, it has also made sharing things easier. The problem is gauging the user experience of free E-commerce websites such as Babacucu.com to see whether people are interested to visit it or not. One of the elements of user experience is usability, that will be measured in this research. The methods used to measure the usability are questionnaires and usability testing with the users of Babacucu as subjects. The results of this study are the level of usability of Babacucu.com and recommendations on how to improve the site's usability.","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":"88197602","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. Adyanti, Dian Candra Rini Novitasar, Ahmad Hanif Asyhar, F. Setiawan
Adaptive Network Based Fuzzy Inference System (ANFIS) using time series analize is one of intelligent systems that can be used to predict with good accuracy in all fields like in meteorology. However, some research about forecasting has less emphasis on the structure of the FIS ANFIS. Thus, in this paper, the optimization of the ANFIS model for predicting maritime weather is carried out by analyzing the appropriate initialization determinations of the three fuzzy Inference structures ANFIS which includes FIS structure 1 (grid partition), FIS structure 2 (subtractive clustering) and FIS structure 3 (fuzzy c-means clustering). In this paper, the variable input used are two hours (t-2) and one hour (t-1) before, and data at that time (t), and the output of this system is the prediction of next hour, six hours, twelve hours and next day of variable ocean currents velocity (cm/s) and wave height (m) using the three FIS ANFIS approaches. Based on the smallest goal error (RMSE and MSE) of the three FIS ANFIS approaches used to predict the ocean currents speed (velocity) and wave height, the model is best generated by subtractive clustering. It can be seen that subtractive clustering produces the smallest RMSE and MSE error values of other FIS structure.
{"title":"Optimal ANFIS Model for Forecasting System Using Different FIS","authors":"D. Adyanti, Dian Candra Rini Novitasar, Ahmad Hanif Asyhar, F. Setiawan","doi":"10.11591/eecsi.v5.1617","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1617","url":null,"abstract":"Adaptive Network Based Fuzzy Inference System (ANFIS) using time series analize is one of intelligent systems that can be used to predict with good accuracy in all fields like in meteorology. However, some research about forecasting has less emphasis on the structure of the FIS ANFIS. Thus, in this paper, the optimization of the ANFIS model for predicting maritime weather is carried out by analyzing the appropriate initialization determinations of the three fuzzy Inference structures ANFIS which includes FIS structure 1 (grid partition), FIS structure 2 (subtractive clustering) and FIS structure 3 (fuzzy c-means clustering). In this paper, the variable input used are two hours (t-2) and one hour (t-1) before, and data at that time (t), and the output of this system is the prediction of next hour, six hours, twelve hours and next day of variable ocean currents velocity (cm/s) and wave height (m) using the three FIS ANFIS approaches. Based on the smallest goal error (RMSE and MSE) of the three FIS ANFIS approaches used to predict the ocean currents speed (velocity) and wave height, the model is best generated by subtractive clustering. It can be seen that subtractive clustering produces the smallest RMSE and MSE error values of other FIS structure.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83461132","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.v5i5.1647
Nova El Maidah, Ivan Hardja, S. Slamin
The aims of this research is to develop a system to determine an optimal router location in a computer network. The router location is optimal if the computer network need the minimal number of router without losing the network connectivity. The methods used in order to optimize the router location are dominating set and Greedy algorithm. The data is the router location of computer network in University of Jember. The result showed that the optimal router needed in the networks is 4. These routers were found by using the determination system that implement Greedy algorithm to find the minimum number of dominating set.
{"title":"Determination of Router Location for Optimizing Computer Network Using Dominating Set Methods","authors":"Nova El Maidah, Ivan Hardja, S. Slamin","doi":"10.11591/eecsi.v5i5.1647","DOIUrl":"https://doi.org/10.11591/eecsi.v5i5.1647","url":null,"abstract":"The aims of this research is to develop a system to determine an optimal router location in a computer network. The router location is optimal if the computer network need the minimal number of router without losing the network connectivity. The methods used in order to optimize the router location are dominating set and Greedy algorithm. The data is the router location of computer network in University of Jember. The result showed that the optimal router needed in the networks is 4. These routers were found by using the determination system that implement Greedy algorithm to find the minimum number of dominating set.","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":"76078875","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}
— Due to the change of energy source to renewable energy, the trend of wind turbine is increased in last 5 years. Small Wind Turbine that convert kinetic energy to electric energy needs a rectifier to convert AC to DC. Rectifier used in this paper is active rectifier. Because of its power characteristics, wind turbine needs maximum power point tracking (MPPT) to track its maximum power. This paper shows that by using active rectifier, the algorithm of tracking a maximum power able to be tracked by controlling its rotor angular speed. The simulation result proves that the speed control and MPPT algorithm, perturb and observe, is able to be implemented in various wind speed.
{"title":"Rotor Speed Control Maximum Power Point Tracking for Small Wind Turbine","authors":"Ni Luh Dharmaraditya, Lazarus Stefan, F. Yusivar","doi":"10.11591/eecsi.v5.1655","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1655","url":null,"abstract":"— Due to the change of energy source to renewable energy, the trend of wind turbine is increased in last 5 years. Small Wind Turbine that convert kinetic energy to electric energy needs a rectifier to convert AC to DC. Rectifier used in this paper is active rectifier. Because of its power characteristics, wind turbine needs maximum power point tracking (MPPT) to track its maximum power. This paper shows that by using active rectifier, the algorithm of tracking a maximum power able to be tracked by controlling its rotor angular speed. The simulation result proves that the speed control and MPPT algorithm, perturb and observe, is able to be implemented in various wind speed.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75612414","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}
In this paper, we study the influence of varying baseline components on the accuracy of a relative rotation between two overlapping aerial images taken form UAV flight. The case is relevant when mosaicking UAV's aerial images by registering each individual image. Geotagged images facilitated by a navigational grade GPS receiver on board inform the camera position when taking pictures. However, these low accuracies of geographical coordinates encoded in an EXIF format are unreliable to depict baseline vector components between subsequent overlapping images. This research investigates these influences on the stability of rotation elements when the vector components are entered into a standard coplanarity condition equation to determine the relative rotation of the stereo images. Assuming a nadir looking camera on board while the UAV platform is flying at a constant height, the resulted vector directions are utilized to constraint the coplanarity equation. A detailed analysis of each variation is given. Our experiments based on real datasets confirm that the relative rotation between two successive overlapping image is practically unaffected by the accuracy of positioning method. Furthermore, the coplanarity constraint is invariant with respect to a translation along the baseline of the aerial stereo images.
{"title":"A Relative Rotation between Two Overlapping UAV's Images","authors":"M. Tjahjadi, Fransisca Agust","doi":"10.11591/eecsi.v5.1681","DOIUrl":"https://doi.org/10.11591/eecsi.v5.1681","url":null,"abstract":"In this paper, we study the influence of varying baseline components on the accuracy of a relative rotation between two overlapping aerial images taken form UAV flight. The case is relevant when mosaicking UAV's aerial images by registering each individual image. Geotagged images facilitated by a navigational grade GPS receiver on board inform the camera position when taking pictures. However, these low accuracies of geographical coordinates encoded in an EXIF format are unreliable to depict baseline vector components between subsequent overlapping images. This research investigates these influences on the stability of rotation elements when the vector components are entered into a standard coplanarity condition equation to determine the relative rotation of the stereo images. Assuming a nadir looking camera on board while the UAV platform is flying at a constant height, the resulted vector directions are utilized to constraint the coplanarity equation. A detailed analysis of each variation is given. Our experiments based on real datasets confirm that the relative rotation between two successive overlapping image is practically unaffected by the accuracy of positioning method. Furthermore, the coplanarity constraint is invariant with respect to a translation along the baseline of the aerial stereo images.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85034819","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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