Pub Date : 2010-06-28DOI: 10.1109/ICCIS.2010.5518552
G. Calafiore, L. Carlone, Mingzhu Wei
The problem of estimating node positions in sensor networks and multi agent formations has been extensively studied in the last decade for the purpose of enabling self-configurable and autonomous systems. A typical scenario involves the nodes to estimate their locations using relative measurements from neighbors. When full relative positions (coordinates or, equivalently, range and angle) between pairs of nodes are available, the problem reduces to linear estimation. Contrary, when distance-only (range) measurements are available, the localization problem is strongly NP-hard, and convergence of general-purpose optimization techniques can no longer be guaranteed. In the present paper we analyze three ad-hoc numerical techniques for solving the network localization problem under range-only measurements, namely an iterative Least-Squares algorithm, a Trust-Region method, and a Global Continuation method based on Gaussian smoothing. The global convergence properties of these techniques are then tested through numerical simulations.
{"title":"Network localization from range measurements: Algorithms and numerical experiments","authors":"G. Calafiore, L. Carlone, Mingzhu Wei","doi":"10.1109/ICCIS.2010.5518552","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518552","url":null,"abstract":"The problem of estimating node positions in sensor networks and multi agent formations has been extensively studied in the last decade for the purpose of enabling self-configurable and autonomous systems. A typical scenario involves the nodes to estimate their locations using relative measurements from neighbors. When full relative positions (coordinates or, equivalently, range and angle) between pairs of nodes are available, the problem reduces to linear estimation. Contrary, when distance-only (range) measurements are available, the localization problem is strongly NP-hard, and convergence of general-purpose optimization techniques can no longer be guaranteed. In the present paper we analyze three ad-hoc numerical techniques for solving the network localization problem under range-only measurements, namely an iterative Least-Squares algorithm, a Trust-Region method, and a Global Continuation method based on Gaussian smoothing. The global convergence properties of these techniques are then tested through numerical simulations.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122052553","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518582
M.A.F.M. Jusoh, M. Shahrir, Fazly Mohd Yusop, Chai Tong Yuen
An illumination normalization technique for face recognition by the fusion of Self Quotient Image (SQI) and LogAbout has been proposed. The proposed method is evaluated by using internal face database and Yale face database. The proposed method had shown promising result from the Equal Error Rate (EER) point of view. Our method reported nearly 10% of improvements on average compared to SQI and LogAbout.
{"title":"LogAbout mapping of Self Quotient Image","authors":"M.A.F.M. Jusoh, M. Shahrir, Fazly Mohd Yusop, Chai Tong Yuen","doi":"10.1109/ICCIS.2010.5518582","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518582","url":null,"abstract":"An illumination normalization technique for face recognition by the fusion of Self Quotient Image (SQI) and LogAbout has been proposed. The proposed method is evaluated by using internal face database and Yale face database. The proposed method had shown promising result from the Equal Error Rate (EER) point of view. Our method reported nearly 10% of improvements on average compared to SQI and LogAbout.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124728381","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518585
H. Yazid, H. Arof, N. Mokhtar
People with diabetes may face eye problem as a complication of diabetes. These eye problems can cause vision loss and even blindness. There are several lesions that appear such microaneurysms, hemorrhages, cotton wool spots and exudates. Exudates tend to form ring, around area of diseased vessel and appeared as yellowish-white deposits with well-defined edges meanwhile cotton wool spots are grayish-white with poorly defined fluffy edges. Exudates can be highlighted from the background easier rather than cotton wool spots since it has well defined edge. In order to detect these lesions, a proper technique is needed to segment the cotton wool spots and exudates from the background. Therefore, this paper is proposed to sharpen the edge to simplify the segmentation process for cotton wool spots and exudates through ramp width reduction.
{"title":"Edge sharpening for diabetic retinopathy detection","authors":"H. Yazid, H. Arof, N. Mokhtar","doi":"10.1109/ICCIS.2010.5518585","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518585","url":null,"abstract":"People with diabetes may face eye problem as a complication of diabetes. These eye problems can cause vision loss and even blindness. There are several lesions that appear such microaneurysms, hemorrhages, cotton wool spots and exudates. Exudates tend to form ring, around area of diseased vessel and appeared as yellowish-white deposits with well-defined edges meanwhile cotton wool spots are grayish-white with poorly defined fluffy edges. Exudates can be highlighted from the background easier rather than cotton wool spots since it has well defined edge. In order to detect these lesions, a proper technique is needed to segment the cotton wool spots and exudates from the background. Therefore, this paper is proposed to sharpen the edge to simplify the segmentation process for cotton wool spots and exudates through ramp width reduction.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123073865","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518584
Ishmael Sameen, Yoong Choon Chang, N. Song, B. Goi, Chee Siong Lee
This paper proposes a programmable 2-D DWT system architecture designed for the JPEG-2000 standard. The proposed system architecture, derived from an iterative design space exploration process using Altera's C2H compiler, provides a significant performance acceleration of 2-D DWT when compared to an optimized 2-D DWT software implementation and is capable of real-time video processing performance up to 720p (1280 × 720) image resolutions when synthesized and tested on an Altera DE3 Stratix III FPGA board.
提出了一种基于JPEG-2000标准的可编程二维DWT系统体系结构。所提出的系统架构源自使用Altera的C2H编译器的迭代设计空间探索过程，与优化的二维DWT软件实现相比，提供了显著的二维DWT性能加速，并且在Altera DE3 Stratix III FPGA板上合成和测试时能够实现高达720p (1280 × 720)图像分辨率的实时视频处理性能。
{"title":"Design space exploration of a 2-D DWT system architecture","authors":"Ishmael Sameen, Yoong Choon Chang, N. Song, B. Goi, Chee Siong Lee","doi":"10.1109/ICCIS.2010.5518584","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518584","url":null,"abstract":"This paper proposes a programmable 2-D DWT system architecture designed for the JPEG-2000 standard. The proposed system architecture, derived from an iterative design space exploration process using Altera's C2H compiler, provides a significant performance acceleration of 2-D DWT when compared to an optimized 2-D DWT software implementation and is capable of real-time video processing performance up to 720p (1280 × 720) image resolutions when synthesized and tested on an Altera DE3 Stratix III FPGA board.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114749360","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518581
Wee Ming Wong, C. Loo, A. Tan
Neural network plays a major role in the field of pattern recognition. For pattern recognition, a major drawback with traditional neural networks is that neural networks may easily be trapped in spurious states. Synergetic neural network (SNN) has been proposed in the literature to overcome this problem, however, when applying synergetic neural network on face recognition, the results are not satisfactory for large image databases due to low memory capacity. Therefore, the chaotic dynamic property is introduced to the conventional synergetic neural network in order to resolve the problem. In this paper, an additional control parameter is introduced to the chaotic synergetic neural network (CSNN) in order to terminate the recognition process whenever an image is recognized. This helps to alleviate processing memory demand which often accompanies such networks. Various imagery defects are tested and the accuracy of both methods is evaluated based on incremental sample size.
{"title":"Parameter controlled chaotic synergetic neural network for face recognition","authors":"Wee Ming Wong, C. Loo, A. Tan","doi":"10.1109/ICCIS.2010.5518581","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518581","url":null,"abstract":"Neural network plays a major role in the field of pattern recognition. For pattern recognition, a major drawback with traditional neural networks is that neural networks may easily be trapped in spurious states. Synergetic neural network (SNN) has been proposed in the literature to overcome this problem, however, when applying synergetic neural network on face recognition, the results are not satisfactory for large image databases due to low memory capacity. Therefore, the chaotic dynamic property is introduced to the conventional synergetic neural network in order to resolve the problem. In this paper, an additional control parameter is introduced to the chaotic synergetic neural network (CSNN) in order to terminate the recognition process whenever an image is recognized. This helps to alleviate processing memory demand which often accompanies such networks. Various imagery defects are tested and the accuracy of both methods is evaluated based on incremental sample size.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"79 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120893672","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518560
Jian-xin Xu, Dongxu Ji
Traditionally controller tuning is model based. In many practical applications, however, the process model cannot be obtained and model-free tuning is imperative. In industrial control the huge amount of data is available, but we lack effective controller tuning schemes that are data driven instead of model driven. To address this issue, in this paper we first introduce the concept of feature space that can capture the characteristics of a control process, either in the time domain, frequency domain, or others. (data space to feature space, dim reduction) Next we introduce the control basis function space and control parameter space. The features and parameters form a mapping relationship. The controller tuning process can thus be formulated into the inversion of the mapping that yields appropriate control parameters and minimizes the mismatching between reference features and actual features. When the inversion is not analytically solvable, the iterative learning tuning method can be used.
{"title":"A feature-based data-driven approach for controller design and tuning","authors":"Jian-xin Xu, Dongxu Ji","doi":"10.1109/ICCIS.2010.5518560","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518560","url":null,"abstract":"Traditionally controller tuning is model based. In many practical applications, however, the process model cannot be obtained and model-free tuning is imperative. In industrial control the huge amount of data is available, but we lack effective controller tuning schemes that are data driven instead of model driven. To address this issue, in this paper we first introduce the concept of feature space that can capture the characteristics of a control process, either in the time domain, frequency domain, or others. (data space to feature space, dim reduction) Next we introduce the control basis function space and control parameter space. The features and parameters form a mapping relationship. The controller tuning process can thus be formulated into the inversion of the mapping that yields appropriate control parameters and minimizes the mismatching between reference features and actual features. When the inversion is not analytically solvable, the iterative learning tuning method can be used.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127214","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518539
Eyan Aboulouz, D. Deugo
Radio Frequency Identification technology is an emerging technology that allows objects to be electronically tagged and identified wirelessly. In recent years, many organizations have started to show interest in porting this technology to their existing business processes. With the increase in popularity of the technology, many vendor-specific RFID readers are being manufactured and sold to interested organizations. Deployment of such RFID readers to existing business processes is difficult as software developers need to understand each vendor-specific RFID reader, due to lack of standardization among RFID readers. This paper describes a scalable and adaptable middleware, called RFIDMania, designed to allow software developers to interact with any RFID reader without having to know the specifics of the reader. RFIDMania provides a framework to process data received from RFID tags, and translate, decode, filter and route the data to the application in the form of an event. RFIDMania is able to offer software developers a framework to deliver portable generic code that is not tightly coupled with hardware specific commands.
{"title":"RFIDMania extensible and adaptable RFID middleware and specifications","authors":"Eyan Aboulouz, D. Deugo","doi":"10.1109/ICCIS.2010.5518539","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518539","url":null,"abstract":"Radio Frequency Identification technology is an emerging technology that allows objects to be electronically tagged and identified wirelessly. In recent years, many organizations have started to show interest in porting this technology to their existing business processes. With the increase in popularity of the technology, many vendor-specific RFID readers are being manufactured and sold to interested organizations. Deployment of such RFID readers to existing business processes is difficult as software developers need to understand each vendor-specific RFID reader, due to lack of standardization among RFID readers. This paper describes a scalable and adaptable middleware, called RFIDMania, designed to allow software developers to interact with any RFID reader without having to know the specifics of the reader. RFIDMania provides a framework to process data received from RFID tags, and translate, decode, filter and route the data to the application in the form of an event. RFIDMania is able to offer software developers a framework to deliver portable generic code that is not tightly coupled with hardware specific commands.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"54 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129366651","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518544
P. Sosnin
This paper presents the question-answer approach to programming the designers activity during the collaborative development of software intensive systems. Such activity is aimed at the creative reuse of precedents in the real time when the human potential and power of computers are combined as a whole. The effectiveness of the common work can be increased essentially if the human part of the work will be fulfilled as an execution of the special kind of programs by “human processors” which use the models of question-answer reasoning. Such approach was investigated and evolved till the instrumental system providing the programming of the human processors combined with computer processors.
{"title":"Question-answer programming in collaborative development environment","authors":"P. Sosnin","doi":"10.1109/ICCIS.2010.5518544","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518544","url":null,"abstract":"This paper presents the question-answer approach to programming the designers activity during the collaborative development of software intensive systems. Such activity is aimed at the creative reuse of precedents in the real time when the human potential and power of computers are combined as a whole. The effectiveness of the common work can be increased essentially if the human part of the work will be fulfilled as an execution of the special kind of programs by “human processors” which use the models of question-answer reasoning. Such approach was investigated and evolved till the instrumental system providing the programming of the human processors combined with computer processors.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132503893","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518542
Rabiatul 'Adawiah Mat Noor, Z. Ahmad
Nowadays, biopolymer has been actively used in two important areas in our daily activities; packaging and medical devices. The growing importance of biopolymer has triggered researchers to focus on this matter. One of the important criteria in production of biopolymer is the quality of the product itself. The high quality product is absolutely desirable. Therefore, a method of controlling biopolymer quality is certainly indispensible in this matter. Medical devices certainly demand a high quality biopolymer as these devices always get along with strict specifications in their production. Biopolymerization furthermore is a very nonlinear process which requires a powerful tool to tackle the nonlinearity of the process. Neural network is apparently a powerful tool especially in modeling nonlinear and intricate process. Nevertheless, single network may face problem such as lack generalization capability which can lead to poor performance of the model. Hence, a good alteration to the network is essential to extenuate the problem. Bootstrap re-sampling method is one way to tackle such a job. This work presented a prediction of biopolymer quality using bootstrap re-sampling neural network technique.
{"title":"Inferential estimation of biopolymer (polyester) quality using bootstrap re-sampling neural network technique","authors":"Rabiatul 'Adawiah Mat Noor, Z. Ahmad","doi":"10.1109/ICCIS.2010.5518542","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518542","url":null,"abstract":"Nowadays, biopolymer has been actively used in two important areas in our daily activities; packaging and medical devices. The growing importance of biopolymer has triggered researchers to focus on this matter. One of the important criteria in production of biopolymer is the quality of the product itself. The high quality product is absolutely desirable. Therefore, a method of controlling biopolymer quality is certainly indispensible in this matter. Medical devices certainly demand a high quality biopolymer as these devices always get along with strict specifications in their production. Biopolymerization furthermore is a very nonlinear process which requires a powerful tool to tackle the nonlinearity of the process. Neural network is apparently a powerful tool especially in modeling nonlinear and intricate process. Nevertheless, single network may face problem such as lack generalization capability which can lead to poor performance of the model. Hence, a good alteration to the network is essential to extenuate the problem. Bootstrap re-sampling method is one way to tackle such a job. This work presented a prediction of biopolymer quality using bootstrap re-sampling neural network technique.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"10887 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116683725","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 : 2010-06-28DOI: 10.1109/ICCIS.2010.5518545
Tao Yaxiong, Xu Zhen, Xu Huibin
As enterprise business process (BP) becomes more dynamic and flexible, business process management system (BPMS) is required to strengthen its capability to monitor the operation of BP. Referring to the monitoring mode from IBM's “Web Sphere Business Integration”, this paper proposes the idea of monitoring BP based on process knowledge (PK), that is, utilizing PK extracted from BP to assist process management and monitoring. By means of providing process management staff with real-time running data, statistical historical data and alarm notification, the response to process exception, monitoring range and the capability to predict exception in BPMS are greatly improved enabling BPMS to take actions to prevent exception and to guarantee the successful running of BP.
随着企业业务流程的动态性和灵活性的增强，对业务流程管理系统(BPMS)提出了加强对业务流程运行监控能力的要求。参考IBM“Web Sphere Business Integration”中的监控模式，本文提出了基于过程知识(process knowledge, PK)的BP监控思路，即利用从BP中提取的PK来辅助流程管理和监控。通过向流程管理人员提供实时运行数据、统计历史数据和报警通知，大大提高了BPMS对流程异常的响应能力、监控范围和异常预测能力，使BPMS能够采取措施预防异常，保证BP的成功运行。
{"title":"BPM exception monitoring based on process knowledge","authors":"Tao Yaxiong, Xu Zhen, Xu Huibin","doi":"10.1109/ICCIS.2010.5518545","DOIUrl":"https://doi.org/10.1109/ICCIS.2010.5518545","url":null,"abstract":"As enterprise business process (BP) becomes more dynamic and flexible, business process management system (BPMS) is required to strengthen its capability to monitor the operation of BP. Referring to the monitoring mode from IBM's “Web Sphere Business Integration”, this paper proposes the idea of monitoring BP based on process knowledge (PK), that is, utilizing PK extracted from BP to assist process management and monitoring. By means of providing process management staff with real-time running data, statistical historical data and alarm notification, the response to process exception, monitoring range and the capability to predict exception in BPMS are greatly improved enabling BPMS to take actions to prevent exception and to guarantee the successful running of BP.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116736231","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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