Pub Date : 2017-02-01DOI: 10.1109/ICACI.2017.7974477
Xiaoping Wang, Ran Yang, Qiao Chen, Z. Zeng
This brief proposes an improved XOR logic gate and a novel full adder. The presented XOR has simple structure which consists of 2 CMOS transistors and 4 memristors, and it reduces 4 CMOS transistors compared with the previous. In addition, the novel full adder consists of 7 CMOS transistors and 10 memristors. This novel full adder reduces 8 CMOS transistors and 2 memristors, which means the size of the circuit is smaller and power consumption is lower. Through analysis and simulation, the feasibilities of the improved XOR logic gate and novel full adder are demonstrated.
{"title":"An improved memristor-CMOS XOR logic gate and a novel full adder","authors":"Xiaoping Wang, Ran Yang, Qiao Chen, Z. Zeng","doi":"10.1109/ICACI.2017.7974477","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974477","url":null,"abstract":"This brief proposes an improved XOR logic gate and a novel full adder. The presented XOR has simple structure which consists of 2 CMOS transistors and 4 memristors, and it reduces 4 CMOS transistors compared with the previous. In addition, the novel full adder consists of 7 CMOS transistors and 10 memristors. This novel full adder reduces 8 CMOS transistors and 2 memristors, which means the size of the circuit is smaller and power consumption is lower. Through analysis and simulation, the feasibilities of the improved XOR logic gate and novel full adder are demonstrated.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130221177","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974485
Guici Chen, Yu Gao, Shasha Zhu
The robust delay feedback control problems for discrete-time stochastic interval systems(DTSISs) with time-delay and Markovian jumps are studied in this paper. Firstly, the dissipativity for DTSISs with time delay and Markovian jumps is analyzed, then based on this, the robust delay-feedback controller, which includes not only the instantaneous state information but also the delay state information, is designed. Finally, we give a numerical example with simulations to illustrate the correctness of the obtained results and the effectiveness of the designed controller.
{"title":"Robust delay-feedback control for discrete-time stochastic interval systems with time-delay and Markovian jumps","authors":"Guici Chen, Yu Gao, Shasha Zhu","doi":"10.1109/ICACI.2017.7974485","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974485","url":null,"abstract":"The robust delay feedback control problems for discrete-time stochastic interval systems(DTSISs) with time-delay and Markovian jumps are studied in this paper. Firstly, the dissipativity for DTSISs with time delay and Markovian jumps is analyzed, then based on this, the robust delay-feedback controller, which includes not only the instantaneous state information but also the delay state information, is designed. Finally, we give a numerical example with simulations to illustrate the correctness of the obtained results and the effectiveness of the designed controller.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116519042","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974476
Langqi Mei, Jianming Guo, Pingping Lu, Qing Liu, Fei Teng
Effective and efficient ship detection is a prerequisite in inland video surveillance, e.g. to track the target ship from frame to frame and to analyze the tracked ship to recognize its behavior. In this paper, a real-time inland ship detection algorithm called MEADGS is proposed, which is based on dynamic group sparsity and background subtraction method. The background and foreground image are reconstructed directly based on enhanced adaptive dynamic group sparsity (EAdaDGS) algorithm. The background dictionary is updated in real time by the current background image when current frame is a key frame. Meanwhile, the efficiency of our proposed method is further improved by multi-resolution detection procedure. The ships are located in low resolution, and detected accurately in the specified area of high resolution. The experimental results show that our proposed method obtains higher-quality, with a 7.6% margin over the second best method performance.
{"title":"Inland ship detection based on dynamic group sparsity","authors":"Langqi Mei, Jianming Guo, Pingping Lu, Qing Liu, Fei Teng","doi":"10.1109/ICACI.2017.7974476","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974476","url":null,"abstract":"Effective and efficient ship detection is a prerequisite in inland video surveillance, e.g. to track the target ship from frame to frame and to analyze the tracked ship to recognize its behavior. In this paper, a real-time inland ship detection algorithm called MEADGS is proposed, which is based on dynamic group sparsity and background subtraction method. The background and foreground image are reconstructed directly based on enhanced adaptive dynamic group sparsity (EAdaDGS) algorithm. The background dictionary is updated in real time by the current background image when current frame is a key frame. Meanwhile, the efficiency of our proposed method is further improved by multi-resolution detection procedure. The ships are located in low resolution, and detected accurately in the specified area of high resolution. The experimental results show that our proposed method obtains higher-quality, with a 7.6% margin over the second best method performance.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126929195","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974488
Shibli Nisar, Ibrahim Shahzad, Muhammad Adnan Khan, Muhammad Tariq
Automatic spoken digit recognition is one of the important areas in speech recognition. Local language spoken digits recognition is the next stage in this technological advancement. This paper presents a new approach for Pashto digits recognition using spectral and prosodic based feature extraction. Very little or almost no work has been done in Pashto spoken digit recognition. Thats why no standard Pashto digit corpus was available online. A database of 150 native speakers from 0 (sefor) to 9 (naha) including 75 males and 75 females is developed. Creation of corpus is one of the main contributions of this work. To the best of authors knowledge support vector machine (SVM) is used for the first time in Pashto digits classification and compared with K-nearest neighbor (KNN) classifier. Out of 150, 110 speakers feature set are used for training purposes and the remaining 40 speakers feature set are used for testing. The results obtained from the proposed method are very satisfactory and achieved 91.5% over all accuracy.
{"title":"Pashto spoken digits recognition using spectral and prosodic based feature extraction","authors":"Shibli Nisar, Ibrahim Shahzad, Muhammad Adnan Khan, Muhammad Tariq","doi":"10.1109/ICACI.2017.7974488","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974488","url":null,"abstract":"Automatic spoken digit recognition is one of the important areas in speech recognition. Local language spoken digits recognition is the next stage in this technological advancement. This paper presents a new approach for Pashto digits recognition using spectral and prosodic based feature extraction. Very little or almost no work has been done in Pashto spoken digit recognition. Thats why no standard Pashto digit corpus was available online. A database of 150 native speakers from 0 (sefor) to 9 (naha) including 75 males and 75 females is developed. Creation of corpus is one of the main contributions of this work. To the best of authors knowledge support vector machine (SVM) is used for the first time in Pashto digits classification and compared with K-nearest neighbor (KNN) classifier. Out of 150, 110 speakers feature set are used for training purposes and the remaining 40 speakers feature set are used for testing. The results obtained from the proposed method are very satisfactory and achieved 91.5% over all accuracy.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125359071","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974504
Kun Zhang, P. Liu, Ke Li, Weiren Kong, Jiandong Zhang
Aimed at the problem of low reliability and low significance level in multi-target threat assessment, based on the advantage of Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method which can take maximizing group effect and minimize individual regret into account, setting reasonable decision-making mechanism coefficient, VIKOR is applied to the multi-target threat assessment problems. The threat mathematic model based on VIKOR is established. And analyze the influence of the changes of the decision-making mechanism coefficient on the final sorting results under the conditions of equal weight and unequal weight. The availability and effectiveness have been proved by the simulation results, providing an effective method for multi-target threat target in air combat.
针对多目标威胁评估中存在的信度低、显著性水平低的问题，基于VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje)方法兼顾群体效应最大化和个体后悔最小化的优势，设置合理的决策机制系数，将VIKOR方法应用于多目标威胁评估问题。建立了基于VIKOR的威胁数学模型。并分析了等权和不等权条件下决策机制系数的变化对最终排序结果的影响。仿真结果证明了该方法的有效性和有效性，为空战中多目标威胁目标提供了一种有效的方法。
{"title":"Multi-target threat assessment in air combat based on entropy and VIKOR","authors":"Kun Zhang, P. Liu, Ke Li, Weiren Kong, Jiandong Zhang","doi":"10.1109/ICACI.2017.7974504","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974504","url":null,"abstract":"Aimed at the problem of low reliability and low significance level in multi-target threat assessment, based on the advantage of Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method which can take maximizing group effect and minimize individual regret into account, setting reasonable decision-making mechanism coefficient, VIKOR is applied to the multi-target threat assessment problems. The threat mathematic model based on VIKOR is established. And analyze the influence of the changes of the decision-making mechanism coefficient on the final sorting results under the conditions of equal weight and unequal weight. The availability and effectiveness have been proved by the simulation results, providing an effective method for multi-target threat target in air combat.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122425149","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974513
Md Meftahul Ferdaus, S. Anavatti, M. Garratt, Mahardhika Pratama
Recently, the quadcopter configuration is becoming prevalent for both civilian and military applications, and research is continuing to improve its controllability. However, most the control methodologies depend on accurate system models which are derived from six degrees of freedom nonlinear system dynamics and they generally do not consider realistic outdoor perturbations and uncertainties. As a solution, model-free data-driven system identification and controlling of quadcopter have been refined in this paper. This nonlinear multiple input-multiple output system identification is proliferated using a fuzzy clustering model. The accuracy of the identification is seen to very high. The results of a PID controller used in conjunction with the identified fuzzy model is also presented. The PID controller with the fuzzy identified model is seen to precisely follow the commanded signals.
{"title":"Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter","authors":"Md Meftahul Ferdaus, S. Anavatti, M. Garratt, Mahardhika Pratama","doi":"10.1109/ICACI.2017.7974513","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974513","url":null,"abstract":"Recently, the quadcopter configuration is becoming prevalent for both civilian and military applications, and research is continuing to improve its controllability. However, most the control methodologies depend on accurate system models which are derived from six degrees of freedom nonlinear system dynamics and they generally do not consider realistic outdoor perturbations and uncertainties. As a solution, model-free data-driven system identification and controlling of quadcopter have been refined in this paper. This nonlinear multiple input-multiple output system identification is proliferated using a fuzzy clustering model. The accuracy of the identification is seen to very high. The results of a PID controller used in conjunction with the identified fuzzy model is also presented. The PID controller with the fuzzy identified model is seen to precisely follow the commanded signals.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125732347","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974486
A. Sleptchenko, T. Elmekkawy, H. Turan, S. Pokharel
We study a single location supply system for repairable spare parts. The system consists of a multi-server repair shop and inventory with ready-to-use spare parts. When a failed part is received, a new (or as-good-as-new) replacement part is sent back, and the failed part is forwarded to the repairshop. In the case of unavailability of spare parts, failed requests are backordered and fulfilled when a ready-for-use part of the same type is received from the repairshop. The repair shop has several multi-skilled parallel servers (technicians) that are capable of handling certain types of spares. In this paper, we propose a Particle Swarm Optimization heuristic combined with Discrete-Event Simulation for optimizing the cross-training policy (skill assignment scheme) while minimizing the total system cost (consisting of inventory costs, backorder penalty cost, server cost and skill cost).
{"title":"Simulation based particle swarm optimization of cross-training policies in spare parts supply systems","authors":"A. Sleptchenko, T. Elmekkawy, H. Turan, S. Pokharel","doi":"10.1109/ICACI.2017.7974486","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974486","url":null,"abstract":"We study a single location supply system for repairable spare parts. The system consists of a multi-server repair shop and inventory with ready-to-use spare parts. When a failed part is received, a new (or as-good-as-new) replacement part is sent back, and the failed part is forwarded to the repairshop. In the case of unavailability of spare parts, failed requests are backordered and fulfilled when a ready-for-use part of the same type is received from the repairshop. The repair shop has several multi-skilled parallel servers (technicians) that are capable of handling certain types of spares. In this paper, we propose a Particle Swarm Optimization heuristic combined with Discrete-Event Simulation for optimizing the cross-training policy (skill assignment scheme) while minimizing the total system cost (consisting of inventory costs, backorder penalty cost, server cost and skill cost).","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132836314","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974492
Zunbin Li
This paper investigates FTC (finite-time consensus) problem of nonlinear MAC (multi-agent system) with disturbance via impulsive control protocol, where the states of agents can be updated by the state of itself and the state of its neighbor at certain discrete time constants. Some sufficient conditions are established via the impulsive control theory and the algebraic graph theory. What's more, the setting time for consensus is formulated by eigenvalues of Laplacian matrix, control gain and impulse interval. Numerical simulations demonstrate the availability of the theoretical results.
{"title":"Finite-time impulsive consensus of nonlinear multi-agent system with disturbance","authors":"Zunbin Li","doi":"10.1109/ICACI.2017.7974492","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974492","url":null,"abstract":"This paper investigates FTC (finite-time consensus) problem of nonlinear MAC (multi-agent system) with disturbance via impulsive control protocol, where the states of agents can be updated by the state of itself and the state of its neighbor at certain discrete time constants. Some sufficient conditions are established via the impulsive control theory and the algebraic graph theory. What's more, the setting time for consensus is formulated by eigenvalues of Laplacian matrix, control gain and impulse interval. Numerical simulations demonstrate the availability of the theoretical results.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125606043","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974521
D. Wilk-Kołodziejczyk, K. Jaśkowiec, Grzegorz Legien, B. Sniezynski
The intention of this work is to show how logic of plausible reasoning (LPR) can be successfully used for solving complex decision problems. In the following sections a decision involve the use of LPR is described, and then its operation was illustrated on the example of an expertize concerning the choice of technology for making metal products. A knowledge base on the examined group of materials is presented and practical functioning of the system for the choice of a metal processing technology is disclosed. Typical scenarios of the system usage are presented, serving at the same time as a tool to verify its functionality. In particular, it is expected to create a module allowing automatic generation of rules to the knowledge base, and introduce machine learning to achieve optimal parameters of the inference process. The approach proposed in this study can be applied to a broad class of metal products, but in every case it should take into account the speciffic nature of a particular group of products and technological parameters of the materials used.
{"title":"The decision support system based on logic of plausible reasoning","authors":"D. Wilk-Kołodziejczyk, K. Jaśkowiec, Grzegorz Legien, B. Sniezynski","doi":"10.1109/ICACI.2017.7974521","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974521","url":null,"abstract":"The intention of this work is to show how logic of plausible reasoning (LPR) can be successfully used for solving complex decision problems. In the following sections a decision involve the use of LPR is described, and then its operation was illustrated on the example of an expertize concerning the choice of technology for making metal products. A knowledge base on the examined group of materials is presented and practical functioning of the system for the choice of a metal processing technology is disclosed. Typical scenarios of the system usage are presented, serving at the same time as a tool to verify its functionality. In particular, it is expected to create a module allowing automatic generation of rules to the knowledge base, and introduce machine learning to achieve optimal parameters of the inference process. The approach proposed in this study can be applied to a broad class of metal products, but in every case it should take into account the speciffic nature of a particular group of products and technological parameters of the materials used.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124534518","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 : 2017-02-01DOI: 10.1109/ICACI.2017.7974502
Marwa Sharawi, Hossam M. Zawbaa, E. Emary
In this paper, a feature selection system is introduced applies the whale optimization algorithm (WOA). WOA is a recently introduced meta-heuristic optimization algorithm that mimics the natural behavior of the humpback whales. The proposed model applies the wrapper-based method to reach the optimal subset of features. This technique was applied to find the best feature subset that maximizes the accuracy of the classification while preserving the minimum number of features. The proposed model is compared with the particle swarm optimization (PSO) and genetic algorithm (GA) using a number of assessment indicators on 16 different data-sets from UCI data repository. The results demonstrate the advantage of the introduced algorithm compared to the other optimizers.
{"title":"Feature selection approach based on whale optimization algorithm","authors":"Marwa Sharawi, Hossam M. Zawbaa, E. Emary","doi":"10.1109/ICACI.2017.7974502","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974502","url":null,"abstract":"In this paper, a feature selection system is introduced applies the whale optimization algorithm (WOA). WOA is a recently introduced meta-heuristic optimization algorithm that mimics the natural behavior of the humpback whales. The proposed model applies the wrapper-based method to reach the optimal subset of features. This technique was applied to find the best feature subset that maximizes the accuracy of the classification while preserving the minimum number of features. The proposed model is compared with the particle swarm optimization (PSO) and genetic algorithm (GA) using a number of assessment indicators on 16 different data-sets from UCI data repository. The results demonstrate the advantage of the introduced algorithm compared to the other optimizers.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"149 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130860889","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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