Pub Date : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151962
M. Nguyen, K. Teague
In this paper, we propose an algorithm supporting distributed mobile sensor networks (MSN) for scalar field mapping that has many applications such as environmental monitoring or battle field surveillance, etc. We exploit the integration between compressive sensing (CS) and the collaboration of the mobile sensors. In the algorithm each distributed mobile sensor measures at random positions in the sensing area to create one CS measurement and finally shares the measurement with others by communicating through its neighbors. The convergence time is considered while the sensors exchange their measurements. After all the sensors achieve the number of CS measurements needed, a CS recovery algorithm is applied at each mobile sensor to reconstruct sensory readings from all the positions in the sensing area that need to be observed. The total communication energy consumption is formulated, analyzed and simulated.
{"title":"Random sampling in collaborative and distributed mobile sensor networks utilizing compressive sensing for scalar field mapping","authors":"M. Nguyen, K. Teague","doi":"10.1109/SYSOSE.2015.7151962","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151962","url":null,"abstract":"In this paper, we propose an algorithm supporting distributed mobile sensor networks (MSN) for scalar field mapping that has many applications such as environmental monitoring or battle field surveillance, etc. We exploit the integration between compressive sensing (CS) and the collaboration of the mobile sensors. In the algorithm each distributed mobile sensor measures at random positions in the sensing area to create one CS measurement and finally shares the measurement with others by communicating through its neighbors. The convergence time is considered while the sensors exchange their measurements. After all the sensors achieve the number of CS measurements needed, a CS recovery algorithm is applied at each mobile sensor to reconstruct sensory readings from all the positions in the sensing area that need to be observed. The total communication energy consumption is formulated, analyzed and simulated.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"320 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131200055","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151902
M. Packianather, Bharat Kapoor
Identifying defects and classifying them according to some predefined classes is common in many manufacturing processes. The basis of such approach depends on a set of features extracted from all the classes and using them to train a classifier and then use it to determine the class to which the unseen data belongs to, with a reasonable accuracy. Hence the performance of the classifier depends on the features' ability to discriminate between the good or normal and the defects. Therefore, one way of improving the classifier is to select the most appropriate features from a given feature set for the purpose of training and testing so that, at the end, better results can be achieved overall. In this paper, a novel wrapper-based feature selection approach using Bees Algorithm for the application of wood defect classification is presented. Bees Algorithm is a swarm-based optimisation technique mimicking the foraging behaviour of honey bees found in nature. In order to demonstrate the wrapper-based feature selection procedure a Minimum Distance Classifier (MDC) is used in this study. However, the method can be applied to any application using some other classifier. The study shows that, on average, a 10% improvement is achieved when a reduced sub-set of 12 features selected using the proposed wrapper-based method with Bees Algorithm is used in training and testing the MDC when compared to using the original full set of 17 features. The rejected features correspond to outliers.
{"title":"A wrapper-based feature selection approach using Bees Algorithm for a wood defect classification system","authors":"M. Packianather, Bharat Kapoor","doi":"10.1109/SYSOSE.2015.7151902","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151902","url":null,"abstract":"Identifying defects and classifying them according to some predefined classes is common in many manufacturing processes. The basis of such approach depends on a set of features extracted from all the classes and using them to train a classifier and then use it to determine the class to which the unseen data belongs to, with a reasonable accuracy. Hence the performance of the classifier depends on the features' ability to discriminate between the good or normal and the defects. Therefore, one way of improving the classifier is to select the most appropriate features from a given feature set for the purpose of training and testing so that, at the end, better results can be achieved overall. In this paper, a novel wrapper-based feature selection approach using Bees Algorithm for the application of wood defect classification is presented. Bees Algorithm is a swarm-based optimisation technique mimicking the foraging behaviour of honey bees found in nature. In order to demonstrate the wrapper-based feature selection procedure a Minimum Distance Classifier (MDC) is used in this study. However, the method can be applied to any application using some other classifier. The study shows that, on average, a 10% improvement is achieved when a reduced sub-set of 12 features selected using the proposed wrapper-based method with Bees Algorithm is used in training and testing the MDC when compared to using the original full set of 17 features. The rejected features correspond to outliers.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131304819","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151983
M. Joordens, Tom A. Brodie, T. Oberli, Philip R. Swinsburg
There are few regulatory restrictions involving the use of fully autonomous unmanned aerial systems in unpopulated, farming areas of Australia. The combination of a fully autonomous aerial and ground systems would provide efficient and cost effective retrieval of soil and vegetation data for use in precision agriculture. The aerial system will survey the site and collect spectral imagery to analyse plant density, stress and nutrition. The ground sensors will collect soil moisture content readings throughout the site. The data from both systems will be collated at a central base station. The base station will also provide housing and interface with the aerial system.
{"title":"Conceptual design for fully autonomous aerial and ground system for precision agriculture","authors":"M. Joordens, Tom A. Brodie, T. Oberli, Philip R. Swinsburg","doi":"10.1109/SYSOSE.2015.7151983","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151983","url":null,"abstract":"There are few regulatory restrictions involving the use of fully autonomous unmanned aerial systems in unpopulated, farming areas of Australia. The combination of a fully autonomous aerial and ground systems would provide efficient and cost effective retrieval of soil and vegetation data for use in precision agriculture. The aerial system will survey the site and collect spectral imagery to analyse plant density, stress and nutrition. The ground sensors will collect soil moisture content readings throughout the site. The data from both systems will be collated at a central base station. The base station will also provide housing and interface with the aerial system.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133087668","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151942
J. Lane, Elizabeth Betsy Clark, A. Pitman, A. Tuffley
The Australian Defence Materiel Organisation recently developed a process for determining the probability that a system development program will meet their stated delivery or completion date as well as predicting the actual schedule and identifying factors that are driving the schedule. This process, the Schedule Compliance Risk Assessment Methodology (SCRAM), provides a framework for identifying and communicating the issues and risks to, and the root causes of, schedule slippage and providing recommendations to mitigate and/or remediate issues and risks. To date, SCRAM has been successfully applied to a number of major development acquisition programs in Australia and the United States. This paper describes the application of the SCRAM process to predict the completion date of an SoS capability, conduct a root cause analysis of any identified schedule slippage, and identify possible remedial actions that can be taken to reduce schedule slippage.
{"title":"SoS capability schedule prediction","authors":"J. Lane, Elizabeth Betsy Clark, A. Pitman, A. Tuffley","doi":"10.1109/SYSOSE.2015.7151942","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151942","url":null,"abstract":"The Australian Defence Materiel Organisation recently developed a process for determining the probability that a system development program will meet their stated delivery or completion date as well as predicting the actual schedule and identifying factors that are driving the schedule. This process, the Schedule Compliance Risk Assessment Methodology (SCRAM), provides a framework for identifying and communicating the issues and risks to, and the root causes of, schedule slippage and providing recommendations to mitigate and/or remediate issues and risks. To date, SCRAM has been successfully applied to a number of major development acquisition programs in Australia and the United States. This paper describes the application of the SCRAM process to predict the completion date of an SoS capability, conduct a root cause analysis of any identified schedule slippage, and identify possible remedial actions that can be taken to reduce schedule slippage.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114636507","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151910
W. Khalil, Ahmad Koubeissi, R. Merzouki, B. Conrard, B. O. Bouamama
Modeling a system of systems, for supervision purpose, is a complex issue influenced by security constraints more important than those of its component systems. This work proposes a hierarchical model of system of systems based on Hypergraphs and Constraint Satisfaction Problems. First of all, the developed model allows the operator to show, by a bottom up analysis of the hyper-graphs, the failure of a local system, and its influence on the other systems. In the other hand, the top down analysis of the hypergraphs, allows to check the possible reconfigurations of the global system of systems that satisfy a maximum number of constraints.
{"title":"Contribution to system of systems modeling","authors":"W. Khalil, Ahmad Koubeissi, R. Merzouki, B. Conrard, B. O. Bouamama","doi":"10.1109/SYSOSE.2015.7151910","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151910","url":null,"abstract":"Modeling a system of systems, for supervision purpose, is a complex issue influenced by security constraints more important than those of its component systems. This work proposes a hierarchical model of system of systems based on Hypergraphs and Constraint Satisfaction Problems. First of all, the developed model allows the operator to show, by a bottom up analysis of the hyper-graphs, the failure of a local system, and its influence on the other systems. In the other hand, the top down analysis of the hypergraphs, allows to check the possible reconfigurations of the global system of systems that satisfy a maximum number of constraints.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122154331","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151945
Mohan Muppidi, P. Rad, S. Agaian, M. Jamshidi
In this paper, we describe a new soft computing method for segmentation of both gray level and color images by using a fuzzy entropy based criteria (cost function), the genetic algorithm, and the evolutionary computation techniques. The presented method allow us to find optimized set of parameters for a predefined cost function. Particularly, we found the optimum set of membership functions by maximizing the fuzzy entropy and based on the membership functions. Experimental results show that the offered method can reliably segment and give better threshold then Otsu Multi-Level thresholding.
{"title":"Image segmentation by multi-level thresholding based on fuzzy entropy and genetic algorithm in cloud","authors":"Mohan Muppidi, P. Rad, S. Agaian, M. Jamshidi","doi":"10.1109/SYSOSE.2015.7151945","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151945","url":null,"abstract":"In this paper, we describe a new soft computing method for segmentation of both gray level and color images by using a fuzzy entropy based criteria (cost function), the genetic algorithm, and the evolutionary computation techniques. The presented method allow us to find optimized set of parameters for a predefined cost function. Particularly, we found the optimum set of membership functions by maximizing the fuzzy entropy and based on the membership functions. Experimental results show that the offered method can reliably segment and give better threshold then Otsu Multi-Level thresholding.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646961","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151925
H. Kopetz, Oliver Höftberger, Bernhard Frömel, F. Brancati, A. Bondavalli
Emergence is a systemic phenomenon in an System-of-Systems (SoS) that cannot be reduced to the behavior of the isolated parts of a system. It is the objective of this paper to contribute to the understanding of emergent phenomena in SoSs. After a short look at the literature on emergence in the domains of philosophy and computer science, this paper continues with an elaboration on multi-level nearly-decomposable systems, gives a tentative definition of emergence and discusses how emergent behavior manifests itself in an SoS.
{"title":"Towards an understanding of emergence in systems-of-systems","authors":"H. Kopetz, Oliver Höftberger, Bernhard Frömel, F. Brancati, A. Bondavalli","doi":"10.1109/SYSOSE.2015.7151925","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151925","url":null,"abstract":"Emergence is a systemic phenomenon in an System-of-Systems (SoS) that cannot be reduced to the behavior of the isolated parts of a system. It is the objective of this paper to contribute to the understanding of emergent phenomena in SoSs. After a short look at the literature on emergence in the domains of philosophy and computer science, this paper continues with an elaboration on multi-level nearly-decomposable systems, gives a tentative definition of emergence and discusses how emergent behavior manifests itself in an SoS.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117221160","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151941
Longfei Wei, A. Moghadasi, Aditya Sundararajan, A. Sarwat
The power system forms the backbone of a modern society, and its security is of paramount importance to nation's economy. However, the power system is vulnerable to intelligent attacks by attackers who have enough knowledge of how the power system is operated, monitored and controlled. This paper proposes a game theoretic approach to explore and evaluate strategies for the defender to protect the power systems against such intelligent attacks. First, a risk assessment is presented to quantify the physical impacts inflicted by attacks. Based upon the results of the risk assessment, this paper represents the interactions between the attacker and the defender by extending the current zero-sum game model to more generalized game models for diverse assumptions concerning the attacker's motivation. The attacker and defender's equilibrium strategies are attained by solving these game models. In addition, a numerical illustration is demonstrated to warrant the theoretical outcomes.
{"title":"Defending mechanisms for protecting power systems against intelligent attacks","authors":"Longfei Wei, A. Moghadasi, Aditya Sundararajan, A. Sarwat","doi":"10.1109/SYSOSE.2015.7151941","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151941","url":null,"abstract":"The power system forms the backbone of a modern society, and its security is of paramount importance to nation's economy. However, the power system is vulnerable to intelligent attacks by attackers who have enough knowledge of how the power system is operated, monitored and controlled. This paper proposes a game theoretic approach to explore and evaluate strategies for the defender to protect the power systems against such intelligent attacks. First, a risk assessment is presented to quantify the physical impacts inflicted by attacks. Based upon the results of the risk assessment, this paper represents the interactions between the attacker and the defender by extending the current zero-sum game model to more generalized game models for diverse assumptions concerning the attacker's motivation. The attacker and defender's equilibrium strategies are attained by solving these game models. In addition, a numerical illustration is demonstrated to warrant the theoretical outcomes.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"12 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128144956","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151933
Katja Schuitemaker, J. G. Braakhuis, M. Rajabalinejad
This paper presents a model-based safety architecture framework (MBSAF) for capturing and sharing architectural knowledge of safety cases of safety-critical systems of systems (SoS). Whilst architecture frameworks in the systems engineering domain consider safety often as dependent attribute, this study focusses specifically on sharing architectural knowledge of safety cases between stakeholders and managing safety in systems development. For this purpose, we adapt the A3 architecture overview (A3AO) tool. The application is shown though the case study of Dutch high speed train lines and shows how to derive requirements from various stakeholders by carrying out iterative validations of the A3AOs. The implemented technique consists of systems modeling language-based (SysML) diagrams. Outcomes of the assessment lead to guidelines for two A3AOs. This results in increasing and effective interaction between stakeholders, more overview for managing safety complexity, more insight into finding required safety information, and therefore; an increasing efficiency in safety engineering.
{"title":"A model based safety architecture framework for Dutch high speed train lines","authors":"Katja Schuitemaker, J. G. Braakhuis, M. Rajabalinejad","doi":"10.1109/SYSOSE.2015.7151933","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151933","url":null,"abstract":"This paper presents a model-based safety architecture framework (MBSAF) for capturing and sharing architectural knowledge of safety cases of safety-critical systems of systems (SoS). Whilst architecture frameworks in the systems engineering domain consider safety often as dependent attribute, this study focusses specifically on sharing architectural knowledge of safety cases between stakeholders and managing safety in systems development. For this purpose, we adapt the A3 architecture overview (A3AO) tool. The application is shown though the case study of Dutch high speed train lines and shows how to derive requirements from various stakeholders by carrying out iterative validations of the A3AOs. The implemented technique consists of systems modeling language-based (SysML) diagrams. Outcomes of the assessment lead to guidelines for two A3AOs. This results in increasing and effective interaction between stakeholders, more overview for managing safety complexity, more insight into finding required safety information, and therefore; an increasing efficiency in safety engineering.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134024325","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 : 2015-05-17DOI: 10.1109/SYSOSE.2015.7151920
Sulabh Kumra, F. Sahin
Many attempts have been made by researchers and scholars to make people feel more conversant to robots. One such example is the dance performance of an Entertainment Robot. In most cases, the challenge to program dance motions for a robot and synchronize them has been too heavy. In addition, pre-programmed dance moves and synchronization information are useful only for a specific music track and are useless for any other. To solve these problems, we developed a new system that can make a robot learn dance moves according to the input music track. The system comprises of two main parts: the first is a beat extraction system for music track; and the second one is a system that learns dance motion for Baxter. In the first part, music track is analyzed using STFT and peak-to-peak time duration is computed. This gives the beats per minute (BPM) of the given music track. The second part takes the BPM and duration of track and feeds it to the developed Q-learning algorithm to make Baxter learn dance moves and synchronize dance motion to beat rate.
{"title":"Dual flexible 7 DoF arm robot learns like a child to dance using Q-learning","authors":"Sulabh Kumra, F. Sahin","doi":"10.1109/SYSOSE.2015.7151920","DOIUrl":"https://doi.org/10.1109/SYSOSE.2015.7151920","url":null,"abstract":"Many attempts have been made by researchers and scholars to make people feel more conversant to robots. One such example is the dance performance of an Entertainment Robot. In most cases, the challenge to program dance motions for a robot and synchronize them has been too heavy. In addition, pre-programmed dance moves and synchronization information are useful only for a specific music track and are useless for any other. To solve these problems, we developed a new system that can make a robot learn dance moves according to the input music track. The system comprises of two main parts: the first is a beat extraction system for music track; and the second one is a system that learns dance motion for Baxter. In the first part, music track is analyzed using STFT and peak-to-peak time duration is computed. This gives the beats per minute (BPM) of the given music track. The second part takes the BPM and duration of track and feeds it to the developed Q-learning algorithm to make Baxter learn dance moves and synchronize dance motion to beat rate.","PeriodicalId":399744,"journal":{"name":"2015 10th System of Systems Engineering Conference (SoSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129519416","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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