Pub Date : 2014-05-22DOI: 10.1109/AQTR.2014.6857840
A. Enache, V. Sgârciu
Search engines have become a de facto place to start information acquisition on the Internet. Sabotaging the quality of the results retrieved by search engines can lead users to doubt the search engine provider. Spam websites can serve as means of phishing. This paper shows a spam host detection approach that uses support vector machines(SVM) for classification. We create a parallel version of standard Particle Swarm Optimization(PSO) to determine free parameters of the SVM classifier and apply our proposed model to a content web spamming dataset, WEBSPAM-UK2011. Our implementation of the parallel PSO is constructed on a pool of threads and each thread executes tasks associated to a particle from the swarm. Experiments showed that our proposed model can achieve a higher accuracy than regular SVM and outperforms other classifiers (C4.5, Naive Bayes). Furthermore, parallel version of standard Particle Swam Optimization(PSO) can efficiently select parameters for SVM.
{"title":"Spam host classification using PSO-SVM","authors":"A. Enache, V. Sgârciu","doi":"10.1109/AQTR.2014.6857840","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857840","url":null,"abstract":"Search engines have become a de facto place to start information acquisition on the Internet. Sabotaging the quality of the results retrieved by search engines can lead users to doubt the search engine provider. Spam websites can serve as means of phishing. This paper shows a spam host detection approach that uses support vector machines(SVM) for classification. We create a parallel version of standard Particle Swarm Optimization(PSO) to determine free parameters of the SVM classifier and apply our proposed model to a content web spamming dataset, WEBSPAM-UK2011. Our implementation of the parallel PSO is constructed on a pool of threads and each thread executes tasks associated to a particle from the swarm. Experiments showed that our proposed model can achieve a higher accuracy than regular SVM and outperforms other classifiers (C4.5, Naive Bayes). Furthermore, parallel version of standard Particle Swam Optimization(PSO) can efficiently select parameters for SVM.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125444974","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857919
I. Stoian, S. Ignat, D. Capatina, O. Ghiran
SCADA systems are broadly employed in supervising and controlling industrial areas comprising manufacturing industries, traffic control, power plants, integrated water management systems (distribution, treatment and sewage). The security of SCADA systems represents a significant subject on account of the critical function that these systems perform in offering vital utility services. In nowadays industrial systems ubiquitous access to Internet enhance the vulnerabilities of SCADA systems, for the reason that this allows a remote attacker to obtain control of, or produce interruption to the network critical functions. The attacks affect the network control plane and /or the data plane. Critical infrastructures, requiring uninterrupted operation, maintenance, and protection, have need of robust and secured control SCADA systems. The paper intends to depicts the critical architectural constituents of these systems, detect vulnerabilities and possible threats, and illustrate protection techniques that may be set up in order to reduce attacks involving situation awareness solutions.
{"title":"Security and intrusion detection on critical SCADA systems for water management","authors":"I. Stoian, S. Ignat, D. Capatina, O. Ghiran","doi":"10.1109/AQTR.2014.6857919","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857919","url":null,"abstract":"SCADA systems are broadly employed in supervising and controlling industrial areas comprising manufacturing industries, traffic control, power plants, integrated water management systems (distribution, treatment and sewage). The security of SCADA systems represents a significant subject on account of the critical function that these systems perform in offering vital utility services. In nowadays industrial systems ubiquitous access to Internet enhance the vulnerabilities of SCADA systems, for the reason that this allows a remote attacker to obtain control of, or produce interruption to the network critical functions. The attacks affect the network control plane and /or the data plane. Critical infrastructures, requiring uninterrupted operation, maintenance, and protection, have need of robust and secured control SCADA systems. The paper intends to depicts the critical architectural constituents of these systems, detect vulnerabilities and possible threats, and illustrate protection techniques that may be set up in order to reduce attacks involving situation awareness solutions.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115076630","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857870
Elod Páll, Koppány Máthé, L. Tamás, L. Buşoniu
Unmanned aerial vehicles are increasingly being used and showing their advantages in many domains. However, their application to railway systems is very little studied. In this paper, we focus on controlling an AR.Drone UAV in order to follow the railway track. The method developed relies on vision-based detection and tracking of the vanishing point of the railway tracks, overhead lines, and other related lines in the image, coupled with a controller that adjusts the yaw so as to keep the vanishing point in the center of the image. Simulation results illustrate that the method is effective, and are complemented by vanishing-point tracking results on real images.
{"title":"Railway track following with the AR.Drone using vanishing point detection","authors":"Elod Páll, Koppány Máthé, L. Tamás, L. Buşoniu","doi":"10.1109/AQTR.2014.6857870","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857870","url":null,"abstract":"Unmanned aerial vehicles are increasingly being used and showing their advantages in many domains. However, their application to railway systems is very little studied. In this paper, we focus on controlling an AR.Drone UAV in order to follow the railway track. The method developed relies on vision-based detection and tracking of the vanishing point of the railway tracks, overhead lines, and other related lines in the image, coupled with a controller that adjusts the yaw so as to keep the vanishing point in the center of the image. Simulation results illustrate that the method is effective, and are complemented by vanishing-point tracking results on real images.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128923793","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857884
A. Mitrea, S. Nedevschi, D. Mitrea, P. Mitrea, R. Badea
The basic goals of this paper target on the development and implementation of algorithms which provide the energy-minimizing snakes in parametric form, then in applying them to textural analysis based medical diagnosis. In order to derive these algorithms, we focus on Finite Differences Methods (Explicit and Crank-Nicolson Finite Difference Schemes), widely used in medical image processing applications. We examine the consistency, stability, and convergence rate, proving their increased quality able to provide maximum accuracy when determining the diseased anatomic tissue delimitation in the context of medical images.
{"title":"Diseased tissue area detection and delimitation, by fusion between finite difference methods and textural analysis","authors":"A. Mitrea, S. Nedevschi, D. Mitrea, P. Mitrea, R. Badea","doi":"10.1109/AQTR.2014.6857884","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857884","url":null,"abstract":"The basic goals of this paper target on the development and implementation of algorithms which provide the energy-minimizing snakes in parametric form, then in applying them to textural analysis based medical diagnosis. In order to derive these algorithms, we focus on Finite Differences Methods (Explicit and Crank-Nicolson Finite Difference Schemes), widely used in medical image processing applications. We examine the consistency, stability, and convergence rate, proving their increased quality able to provide maximum accuracy when determining the diseased anatomic tissue delimitation in the context of medical images.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126936541","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857832
O. Elshazly, M. El-Bardini, N. El-Rabaie
In this paper, an adaptive fuzzy iterative learning control algorithm is proposed for controlling one of the Mecha-tronics systems. The proposed control scheme is based upon a proportional-derivative-integral (PID) iterative learning control (ILC), for which a fuzzy control is added to tune the parameters of the PID-type ILC. Moreover, an adaptation law is added to the fuzzy control in order to automatically select the proper fuzzy membership functions. The performance of proposed algorithm was assessed in computer numerical controlled (CNC) machine X-Y table to illustrate the validation and the effectiveness of the proposed procedure. The simulation results show that the proposed algorithm can reduce the trajectory error in a far less number of iterations.
{"title":"Adaptive fuzzy iterative learning controller for X-Y table position control","authors":"O. Elshazly, M. El-Bardini, N. El-Rabaie","doi":"10.1109/AQTR.2014.6857832","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857832","url":null,"abstract":"In this paper, an adaptive fuzzy iterative learning control algorithm is proposed for controlling one of the Mecha-tronics systems. The proposed control scheme is based upon a proportional-derivative-integral (PID) iterative learning control (ILC), for which a fuzzy control is added to tune the parameters of the PID-type ILC. Moreover, an adaptation law is added to the fuzzy control in order to automatically select the proper fuzzy membership functions. The performance of proposed algorithm was assessed in computer numerical controlled (CNC) machine X-Y table to illustrate the validation and the effectiveness of the proposed procedure. The simulation results show that the proposed algorithm can reduce the trajectory error in a far less number of iterations.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114346965","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857844
M. Vaida, P. Pop
Students are often encouraged to work in groups to solve complex tasks and develop collaboration skills. Classical grouping strategies don't take into account the student's personality or the compatibilities of group members. We introduce an alternative grouping method based on the student typologies and their neuro-linguistic programming (NLP) profile. Typologies are determined, according to the Enneagram methodology, based on the RHETI test. The result of such a test is a chief feature (base typology). Groups are composed of members with compatible chief features. Compatibilities are determined according to the Enneagram principle. New grouping correlations were introduced based on MBTI types. The NLP profile is evaluated by an eye-tracking system, based on eye movement patterns. The proposed grouping method was tested using an e-learning environment, which consists of a CMS (Content Management System) and an eye-tracking component. Eye tracking is based on a low-cost solution that uses a regular webcam. Groups created using this method show an increased communication among the members and better practical results. The tests were realized considering Bachelor and Master of Science students in different educational and practical work activities.
{"title":"Grouping strategy using Enneagram typologies","authors":"M. Vaida, P. Pop","doi":"10.1109/AQTR.2014.6857844","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857844","url":null,"abstract":"Students are often encouraged to work in groups to solve complex tasks and develop collaboration skills. Classical grouping strategies don't take into account the student's personality or the compatibilities of group members. We introduce an alternative grouping method based on the student typologies and their neuro-linguistic programming (NLP) profile. Typologies are determined, according to the Enneagram methodology, based on the RHETI test. The result of such a test is a chief feature (base typology). Groups are composed of members with compatible chief features. Compatibilities are determined according to the Enneagram principle. New grouping correlations were introduced based on MBTI types. The NLP profile is evaluated by an eye-tracking system, based on eye movement patterns. The proposed grouping method was tested using an e-learning environment, which consists of a CMS (Content Management System) and an eye-tracking component. Eye tracking is based on a low-cost solution that uses a regular webcam. Groups created using this method show an increased communication among the members and better practical results. The tests were realized considering Bachelor and Master of Science students in different educational and practical work activities.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132515134","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857831
R. Hodrea, I. Nascu, I. Nascu, R. Keyser, H. Vasian
The paper deals with the implementation of two controllers for the administration of neuromuscular blockade agents in general anaesthesia: Proportional-Integral-Derivative (PID) and Extended Prediction Self-Adaptive Control (EPSAC). Predictive control requires prior knowledge of system dynamics, therefore a mathematical model is required. A Wiener model has been initially identified, using real data recorded during surgical interventions. The controllers were applied to 8 simulated patients and performance was analyzed and discussed for reference tracking and inter-patient variability.
{"title":"EPSAC versus PID control of neuromuscular blockade","authors":"R. Hodrea, I. Nascu, I. Nascu, R. Keyser, H. Vasian","doi":"10.1109/AQTR.2014.6857831","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857831","url":null,"abstract":"The paper deals with the implementation of two controllers for the administration of neuromuscular blockade agents in general anaesthesia: Proportional-Integral-Derivative (PID) and Extended Prediction Self-Adaptive Control (EPSAC). Predictive control requires prior knowledge of system dynamics, therefore a mathematical model is required. A Wiener model has been initially identified, using real data recorded during surgical interventions. The controllers were applied to 8 simulated patients and performance was analyzed and discussed for reference tracking and inter-patient variability.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125715869","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857886
Tofan Doru-Alexandru, Tomoaia Gheorghe
The purpose of this paper is to analyze the behavior of the human tibio-tarsal joint during static loading. The tibio-tarsal joint represents the transition area between the verticality of the calf and the foot. Along with the subtalar and transverse tarsal joints, it represents a crucial component of the ankle. A Finite Element Model (FEM) of the human tibia, fibula and talus was created, taking into consideration the anatomical characteristics of an average weight male adult. In order to analyze the behavior of the tibio-tarsal joint during static loading, the fore mentioned components were rendered in vertical position, and the relations between components were defined. The biomechanical properties (Young's Modulus, Density and Poisson's Ratio) of the human cortical bone were applied with regard to current literature and research. The resulting assembly was subjected to a uniformly distributed pressure of 0,625 kg/cm2. Displacement, vonMisses Stress and Strain were the selected output parameters. The software used to obtain the respective results was SolidWorks® 2014. Understanding the biomechanical behavior of the tibio-tarsal joint during static as well as dynamic loading is essential in order to formulate objective treatment solutions in case of ankle trauma and fracture.
{"title":"Tibio-tarsal joint biomechanics analisys through Finite Element Modeling: A static loading model of the human tibio-tarsal joint","authors":"Tofan Doru-Alexandru, Tomoaia Gheorghe","doi":"10.1109/AQTR.2014.6857886","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857886","url":null,"abstract":"The purpose of this paper is to analyze the behavior of the human tibio-tarsal joint during static loading. The tibio-tarsal joint represents the transition area between the verticality of the calf and the foot. Along with the subtalar and transverse tarsal joints, it represents a crucial component of the ankle. A Finite Element Model (FEM) of the human tibia, fibula and talus was created, taking into consideration the anatomical characteristics of an average weight male adult. In order to analyze the behavior of the tibio-tarsal joint during static loading, the fore mentioned components were rendered in vertical position, and the relations between components were defined. The biomechanical properties (Young's Modulus, Density and Poisson's Ratio) of the human cortical bone were applied with regard to current literature and research. The resulting assembly was subjected to a uniformly distributed pressure of 0,625 kg/cm2. Displacement, vonMisses Stress and Strain were the selected output parameters. The software used to obtain the respective results was SolidWorks® 2014. Understanding the biomechanical behavior of the tibio-tarsal joint during static as well as dynamic loading is essential in order to formulate objective treatment solutions in case of ankle trauma and fracture.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130256900","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857928
T. Colosi, M. Abrudean, M. Ungureșan, V. Muresan
This paper has an informal character. It is referring to distributed parameter processes whose analogical modeling and numerical simulation can be complex and laborious. In these cases, the following compromise can present a major interest: - the determination of some approximating solutions, relatively simple, but sufficiently close to the phenomena reality and on this base: - the elaboration of some analogical modeling and numerical simulation methods with a sufficiently unitary and systemized character based on partial differential equations and after case, with ordinary differential equations, too. In this case, it is proposed a) The analogical modeling through the method of the Matrix of Partial Derivatives of the State Vector (Mpdx); b) The numerical simulation through the (Mpdx) method associated with Taylor series and approximating solutions. This method was used with good results, in numerous examples, in isotope separations processes, thermo-energetics, chemistry, metallurgy, etc. [1-11].
{"title":"Analogical modeling and numerical simulation variant for distributed parameter processes, with applications in isotope separations, chemistry and thermo-energetics","authors":"T. Colosi, M. Abrudean, M. Ungureșan, V. Muresan","doi":"10.1109/AQTR.2014.6857928","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857928","url":null,"abstract":"This paper has an informal character. It is referring to distributed parameter processes whose analogical modeling and numerical simulation can be complex and laborious. In these cases, the following compromise can present a major interest: - the determination of some approximating solutions, relatively simple, but sufficiently close to the phenomena reality and on this base: - the elaboration of some analogical modeling and numerical simulation methods with a sufficiently unitary and systemized character based on partial differential equations and after case, with ordinary differential equations, too. In this case, it is proposed a) The analogical modeling through the method of the Matrix of Partial Derivatives of the State Vector (Mpdx); b) The numerical simulation through the (Mpdx) method associated with Taylor series and approximating solutions. This method was used with good results, in numerous examples, in isotope separations processes, thermo-energetics, chemistry, metallurgy, etc. [1-11].","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056223","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 : 2014-05-22DOI: 10.1109/AQTR.2014.6857925
A. Cioloca, R. Both
Distillation columns are the main operation units in cryogenic air separation plants that supply purified gasses to a number of industries, one of them being the ammonia synthesis process. The need of an efficient control for the distillation process emerged due to high operating costs: great amount of energy consumption. A proper mathematical model of the column can be used to understand the behavior of the column, predict future reaction and most important to develop a control structure. This paper reviews the conventional models for distillation columns and presents a non-conventional model of the cryogenic air distillation column. Some possible simulation schemes are also presented for column behavior evaluation.
{"title":"Modelling versions and simulations of the cryogenic air distillation column","authors":"A. Cioloca, R. Both","doi":"10.1109/AQTR.2014.6857925","DOIUrl":"https://doi.org/10.1109/AQTR.2014.6857925","url":null,"abstract":"Distillation columns are the main operation units in cryogenic air separation plants that supply purified gasses to a number of industries, one of them being the ammonia synthesis process. The need of an efficient control for the distillation process emerged due to high operating costs: great amount of energy consumption. A proper mathematical model of the column can be used to understand the behavior of the column, predict future reaction and most important to develop a control structure. This paper reviews the conventional models for distillation columns and presents a non-conventional model of the cryogenic air distillation column. Some possible simulation schemes are also presented for column behavior evaluation.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"63 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134191187","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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