Pub Date : 2017-11-01DOI: 10.1109/ISKE.2017.8258720
Yangyang Hu, W. Cheng
WebSocket is a TCP-based protocol, providing full-duplex communication channels over a single TCP connection. In recent years, more and more developers choose to use it to develop applications. This paper discusses the traditional real-time Web communication schemes, and analyzes the advantages of WebSocket. Based on the deep study of WebSocket, a real-time campus information push solution based on WebSocket and node.js is proposed. This paper expatiates the overall structure of the scheme, designs and realizes the functions of each module, and the functional testing results show that the scheme is feasible.
{"title":"Research and implementation of campus information push system based on WebSocket","authors":"Yangyang Hu, W. Cheng","doi":"10.1109/ISKE.2017.8258720","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258720","url":null,"abstract":"WebSocket is a TCP-based protocol, providing full-duplex communication channels over a single TCP connection. In recent years, more and more developers choose to use it to develop applications. This paper discusses the traditional real-time Web communication schemes, and analyzes the advantages of WebSocket. Based on the deep study of WebSocket, a real-time campus information push solution based on WebSocket and node.js is proposed. This paper expatiates the overall structure of the scheme, designs and realizes the functions of each module, and the functional testing results show that the scheme is feasible.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116782493","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258771
S. Russell, Owen Doyle, Rem W. Collier
Designing applications for current generation context aware mobile devices is a complex task. Programmers are required to have a deep knowledge of the underlying systems and APIs in order to complete an application. This paper presents a system that takes advantage of the high level of abstraction common to agent-oriented programming languages to reduce the difficulty in creating context-sensitive applications for Android devices.
{"title":"Developing Android applications using agent-oriented programming","authors":"S. Russell, Owen Doyle, Rem W. Collier","doi":"10.1109/ISKE.2017.8258771","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258771","url":null,"abstract":"Designing applications for current generation context aware mobile devices is a complex task. Programmers are required to have a deep knowledge of the underlying systems and APIs in order to complete an application. This paper presents a system that takes advantage of the high level of abstraction common to agent-oriented programming languages to reduce the difficulty in creating context-sensitive applications for Android devices.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124145458","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258782
Feng Cao, Yang Xu, Jian Zhong, Guanfeng Wu
Nowadays, famous and powerful first-order logic automated theorem proving almost use saturation which called given-clause algorithm as the deductive framework. The given-clause algorithm is a divisional framework which divides the entire clauses into selected clause set and deductive clause set. It is efficient with large heuristic strategies and inference calculus. In this paper, we present a holistic deductive framework based on standard contradiction separation. The framework allows arbitrary clause to take part in deduction in the holistic clause set as many as possible which can take full advantage of synergetic effect between clauses. It is a multi-ary, dynamic, sound, complete deduction which can generate more new unit clauses as the goal. We implement the preliminary version of prover, it can find proofs in fewer inferential steps for some Mizar and TPTP problems under effective strategies. Related definitions and useful methods are proposed for programming search paths, avoiding repetition, simplifying clauses and the key strategies, they are contribute to finding proof more efficiently. Performance analysis and some conclusions are outlined at the end of this paper.
{"title":"Holistic deductive framework theorem proving based on standard contradiction separation for first-order logic","authors":"Feng Cao, Yang Xu, Jian Zhong, Guanfeng Wu","doi":"10.1109/ISKE.2017.8258782","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258782","url":null,"abstract":"Nowadays, famous and powerful first-order logic automated theorem proving almost use saturation which called given-clause algorithm as the deductive framework. The given-clause algorithm is a divisional framework which divides the entire clauses into selected clause set and deductive clause set. It is efficient with large heuristic strategies and inference calculus. In this paper, we present a holistic deductive framework based on standard contradiction separation. The framework allows arbitrary clause to take part in deduction in the holistic clause set as many as possible which can take full advantage of synergetic effect between clauses. It is a multi-ary, dynamic, sound, complete deduction which can generate more new unit clauses as the goal. We implement the preliminary version of prover, it can find proofs in fewer inferential steps for some Mizar and TPTP problems under effective strategies. Related definitions and useful methods are proposed for programming search paths, avoiding repetition, simplifying clauses and the key strategies, they are contribute to finding proof more efficiently. Performance analysis and some conclusions are outlined at the end of this paper.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124956636","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258744
Xiaohong Liu, Xianyi Zeng
College-enterprise cooperation is not only an important requirement for modern education development, but also an effective way for enterprises to enhance their competitiveness. Although this cooperation directly deals with colleges and enterprises, governments always play an important role in the process. Apart from the previous three partners, market is also frequently considered as a key factor in the college-enterprise cooperation system. By introducing the concept of action-reaction in physics, a dynamic model related to the four factor cooperation system is set up and analyzed. This model has been successfully applied to a case of entrepreneurship education in order to provide a solid theoretical support for promoting college-enterprise cooperation.
{"title":"A new mathematical model of a college-enterprise cooperation system","authors":"Xiaohong Liu, Xianyi Zeng","doi":"10.1109/ISKE.2017.8258744","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258744","url":null,"abstract":"College-enterprise cooperation is not only an important requirement for modern education development, but also an effective way for enterprises to enhance their competitiveness. Although this cooperation directly deals with colleges and enterprises, governments always play an important role in the process. Apart from the previous three partners, market is also frequently considered as a key factor in the college-enterprise cooperation system. By introducing the concept of action-reaction in physics, a dynamic model related to the four factor cooperation system is set up and analyzed. This model has been successfully applied to a case of entrepreneurship education in order to provide a solid theoretical support for promoting college-enterprise cooperation.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131473240","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258740
Á. L. Romero, Luis Martínez-López, Rosa M. Rodríguez
Consensus reaching processes (CRPs) in Group Decision Making (GDM) try to reach a mutual agreement among a group of decision makers before making a decision. To facilitate CRPs, multiple consensus models have been proposed in the literature. Classically, just a few decision makers participated in the CRP, however nowadays, the appearance of new technological environments and paradigms to make group decisions demand the management of larger scale problems that add new requirements to the solution of consensus. This contribution presents a study of a classical CRP applied to large-scale GDM in order to analyze its performance and detect which are the main challenges that these processes face in large-scale GDM. The analysis will be carried out in a java-based framework, AFRYCA 2.0, simulating different scenarios in large scale GDM.
{"title":"Can classical consensus models deal with large scale group decision making?","authors":"Á. L. Romero, Luis Martínez-López, Rosa M. Rodríguez","doi":"10.1109/ISKE.2017.8258740","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258740","url":null,"abstract":"Consensus reaching processes (CRPs) in Group Decision Making (GDM) try to reach a mutual agreement among a group of decision makers before making a decision. To facilitate CRPs, multiple consensus models have been proposed in the literature. Classically, just a few decision makers participated in the CRP, however nowadays, the appearance of new technological environments and paradigms to make group decisions demand the management of larger scale problems that add new requirements to the solution of consensus. This contribution presents a study of a classical CRP applied to large-scale GDM in order to analyze its performance and detect which are the main challenges that these processes face in large-scale GDM. The analysis will be carried out in a java-based framework, AFRYCA 2.0, simulating different scenarios in large scale GDM.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130691688","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258769
Yangguang Liu, Yun Meng, Zhengqiu Lu, X. Gao
Valve-regulated lead acid (VRLA) batteries are widely used for backup power in the DC power system of transformer substations. Therefore, the state-of-health (SOH) of batteries is critical for maintaining the reliability of the power system. However, due to the unique structure of the VRLA battery, it is difficult to obtain accurate SOH for the short discharge process during battery maintenance. To solve this problem, using the battery equivalent circuit model of the VRLA battery, we propose the online SOH estimation algorithm based on recursive least squares. The method is based on a non-linear model function deduced from the Shepherd battery equivalent model. Moreover, we present a specific scheme for estimating parameters combined with the recursive least squares (RLS) algorithm. The model parameters are then updated using the discharge data from the battery. Finally, we can predict the SOH using the battery model. The experimental results showed that the proposed algorithm could accurately predict the SOH of VRLA batteries using less than two hours of discharge data.
{"title":"An incremental updating method for online monitoring state-of-health of VRLA batteries","authors":"Yangguang Liu, Yun Meng, Zhengqiu Lu, X. Gao","doi":"10.1109/ISKE.2017.8258769","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258769","url":null,"abstract":"Valve-regulated lead acid (VRLA) batteries are widely used for backup power in the DC power system of transformer substations. Therefore, the state-of-health (SOH) of batteries is critical for maintaining the reliability of the power system. However, due to the unique structure of the VRLA battery, it is difficult to obtain accurate SOH for the short discharge process during battery maintenance. To solve this problem, using the battery equivalent circuit model of the VRLA battery, we propose the online SOH estimation algorithm based on recursive least squares. The method is based on a non-linear model function deduced from the Shepherd battery equivalent model. Moreover, we present a specific scheme for estimating parameters combined with the recursive least squares (RLS) algorithm. The model parameters are then updated using the discharge data from the battery. Finally, we can predict the SOH using the battery model. The experimental results showed that the proposed algorithm could accurately predict the SOH of VRLA batteries using less than two hours of discharge data.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133775655","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258784
Fangli Ma, Yang Xu, Peng Xu
Time difference of arrival (TDOA) passive localization is a kind of signal source localization method. There are two types of solution methods, the drawing methods and the calculating methods. The calculating methods are divided into analytic-calculating methods and numerical-calculating methods. As a kind of analytic calculation method, the universal unconstrained nonlinear programming based optimization model of TDOA passive localization was proposed in this paper, its solving algorithms were also discussed. The numeric results shows that the Pattern Search Method has been proved to be able to solve the optimization problems of TDOA localization with only small part of non-convergent points and the Simple-Grid method was the general solution of TDOA optimization problems. Also the localization errors were independent of the order number of the objective function had been obtained.
{"title":"A nonlinear programming based universal optimization model of TDOA passive location","authors":"Fangli Ma, Yang Xu, Peng Xu","doi":"10.1109/ISKE.2017.8258784","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258784","url":null,"abstract":"Time difference of arrival (TDOA) passive localization is a kind of signal source localization method. There are two types of solution methods, the drawing methods and the calculating methods. The calculating methods are divided into analytic-calculating methods and numerical-calculating methods. As a kind of analytic calculation method, the universal unconstrained nonlinear programming based optimization model of TDOA passive localization was proposed in this paper, its solving algorithms were also discussed. The numeric results shows that the Pattern Search Method has been proved to be able to solve the optimization problems of TDOA localization with only small part of non-convergent points and the Simple-Grid method was the general solution of TDOA optimization problems. Also the localization errors were independent of the order number of the objective function had been obtained.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115035507","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258823
Saber Amri, Hela Ltifi, Mounir Ben Ayed
With the development of modern technologies, there are more and more complex Visual Analytics (VA) systems. New challenge of the VA field is to analyze complex, incomplete and inconsistent data. Hence, its evaluation is a primordial task aiming to optimize them, although it is a very difficult task. Even little effort has been made to intelligently evaluate VA artefacts, we proposed to assess the visualization environment and user's interaction by mixing of think aloud protocol analysis and eye tracking that provides an efficient information source where visualization can be used to derive measures about a set of metrics employed to analyze the user performance. As soon as we obtain values from one of these metrics, we use a Neuro-Fuzzy method to intelligently interpret these measures by combining; (1) Fuzzy logic to deal with inaccuracies and uncertainty problems during the evaluation process using the concept of linguistic variables, with (2) Neural network to solve the continuous changes problem in assessment environments with delivery of adaptive learning content. The evaluation results performed by intelligence artificial (IA) are more realistic and accurate than those of traditional methods whereas the lack of ambiguity and uncertainty problems in subjective evaluation.
{"title":"Comprehensive evaluation method of visual analytics tools based on fuzzy theory and artificial neural network","authors":"Saber Amri, Hela Ltifi, Mounir Ben Ayed","doi":"10.1109/ISKE.2017.8258823","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258823","url":null,"abstract":"With the development of modern technologies, there are more and more complex Visual Analytics (VA) systems. New challenge of the VA field is to analyze complex, incomplete and inconsistent data. Hence, its evaluation is a primordial task aiming to optimize them, although it is a very difficult task. Even little effort has been made to intelligently evaluate VA artefacts, we proposed to assess the visualization environment and user's interaction by mixing of think aloud protocol analysis and eye tracking that provides an efficient information source where visualization can be used to derive measures about a set of metrics employed to analyze the user performance. As soon as we obtain values from one of these metrics, we use a Neuro-Fuzzy method to intelligently interpret these measures by combining; (1) Fuzzy logic to deal with inaccuracies and uncertainty problems during the evaluation process using the concept of linguistic variables, with (2) Neural network to solve the continuous changes problem in assessment environments with delivery of adaptive learning content. The evaluation results performed by intelligence artificial (IA) are more realistic and accurate than those of traditional methods whereas the lack of ambiguity and uncertainty problems in subjective evaluation.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134374644","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258840
Xin Liu, ZengMu Cheng, Feng-Yan Yi, T. Qiu
Battery SOC estimation is the core of the battery management system, SOC directly affect the battery management system (BMS) decision-making and control. In this design, the Kalman filter correction method is taken into account and the influence of charge and discharge rate, temperature and charge/discharge cycles on the SOC estimation is considered. Based on this method, the Kalman filter correction algorithm is proposed, and its application in the pure electric vehicle battery management system. The results show that Kalman filter correction algorithm effectively corrects the error of Ah method, improves the estimation precision, and provides a more accurate SOC estimation method for battery management system.
{"title":"SOC calculation method based on extended Kalman filter of power battery for electric vehicle","authors":"Xin Liu, ZengMu Cheng, Feng-Yan Yi, T. Qiu","doi":"10.1109/ISKE.2017.8258840","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258840","url":null,"abstract":"Battery SOC estimation is the core of the battery management system, SOC directly affect the battery management system (BMS) decision-making and control. In this design, the Kalman filter correction method is taken into account and the influence of charge and discharge rate, temperature and charge/discharge cycles on the SOC estimation is considered. Based on this method, the Kalman filter correction algorithm is proposed, and its application in the pure electric vehicle battery management system. The results show that Kalman filter correction algorithm effectively corrects the error of Ah method, improves the estimation precision, and provides a more accurate SOC estimation method for battery management system.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124790932","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 : 2017-11-01DOI: 10.1109/ISKE.2017.8258836
Chubato Wondaferaw Yohannese, Tianrui Li, M. Simfukwe, Faisal Khurshid
Software Fault Prediction (SFP) research has made enormous endeavor to accurately predict fault proneness of software modules to maximize precious software test resources, reduce maintenance cost, help to deliver software products on time and satisfy customer, which ultimately contribute to produce quality software products. In this regard, Machine Learning (ML) has been successfully applied to solve classification problems for SFP. Moreover, from ML, it has been observed that Ensemble Learning Algorithms (ELA) are known to improve the performance of single learning algorithms. However, neither of ELA alone handles the challenges created by redundant and irrelevant features and class imbalance problem in software defect datasets. Therefore, the objective of this paper is to independently examine and compare prominent ELA and improves their performance combined with Feature Selection (FS) and Data Balancing (DB) techniques to identify more efficient ELA that better predict the fault proneness of software modules. Accordingly, a new framework that efficiently handles those challenges in a combined form is proposed. The experimental results confirm that the proposed framework has exhibited the robustness of combined techniques. Particularly the framework has high performance when using combined bagging ELA with DB on selected features. Therefore, as shown in this study, ensemble techniques used for SFP must be carefully examined and combined with both FS and DB in order to obtain robust performance.
{"title":"Ensembles based combined learning for improved software fault prediction: A comparative study","authors":"Chubato Wondaferaw Yohannese, Tianrui Li, M. Simfukwe, Faisal Khurshid","doi":"10.1109/ISKE.2017.8258836","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258836","url":null,"abstract":"Software Fault Prediction (SFP) research has made enormous endeavor to accurately predict fault proneness of software modules to maximize precious software test resources, reduce maintenance cost, help to deliver software products on time and satisfy customer, which ultimately contribute to produce quality software products. In this regard, Machine Learning (ML) has been successfully applied to solve classification problems for SFP. Moreover, from ML, it has been observed that Ensemble Learning Algorithms (ELA) are known to improve the performance of single learning algorithms. However, neither of ELA alone handles the challenges created by redundant and irrelevant features and class imbalance problem in software defect datasets. Therefore, the objective of this paper is to independently examine and compare prominent ELA and improves their performance combined with Feature Selection (FS) and Data Balancing (DB) techniques to identify more efficient ELA that better predict the fault proneness of software modules. Accordingly, a new framework that efficiently handles those challenges in a combined form is proposed. The experimental results confirm that the proposed framework has exhibited the robustness of combined techniques. Particularly the framework has high performance when using combined bagging ELA with DB on selected features. Therefore, as shown in this study, ensemble techniques used for SFP must be carefully examined and combined with both FS and DB in order to obtain robust performance.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123825631","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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