Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880301
Daniela Čurová, R. Haluska, Tomáš Hugec, Michal Puheim, J. Vaščák, P. Sinčák
In this paper we present an engineering proposal for a data processing system based at the Center for Intelligent Technologies. The proposed system forms the Intelligent Space using the collection of sensors including IP cameras, Kinect sensors and other. The proposed data processing infrastructure is based on the Fog Computing paradigm established by Cisco. The main reason for utilization of this approach is the necessity to process large amounts of data produced by the sensors within the considered Intelligent Space. Such amount could not be processed using typical Internet of Things solutions which rely heavily on remote Cloud Computing. The paper provides detailed description of hardware, software and networking solutions and also provides a couple of example applications within the implemented Intelligent Space.
{"title":"Intelligent space at center for intelligent technologies — system proposal","authors":"Daniela Čurová, R. Haluska, Tomáš Hugec, Michal Puheim, J. Vaščák, P. Sinčák","doi":"10.1109/SAMI.2017.7880301","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880301","url":null,"abstract":"In this paper we present an engineering proposal for a data processing system based at the Center for Intelligent Technologies. The proposed system forms the Intelligent Space using the collection of sensors including IP cameras, Kinect sensors and other. The proposed data processing infrastructure is based on the Fog Computing paradigm established by Cisco. The main reason for utilization of this approach is the necessity to process large amounts of data produced by the sensors within the considered Intelligent Space. Such amount could not be processed using typical Internet of Things solutions which rely heavily on remote Cloud Computing. The paper provides detailed description of hardware, software and networking solutions and also provides a couple of example applications within the implemented Intelligent Space.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"54 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120853938","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880321
András Placskó, S. Sergyán
The implemented system automatically capable of annotating images of a database based on samples. The system creates annotations to images with detection of the object belonging to the keyword. The set of keywords is predefined. After the user searching the first twelve relevant results will be showed. Due to the higher accuracy of the system, the user has to comment results then the system has to learn from the comment of the user.
{"title":"Development of keyword-based image retrieval system in automatically annotated image database","authors":"András Placskó, S. Sergyán","doi":"10.1109/SAMI.2017.7880321","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880321","url":null,"abstract":"The implemented system automatically capable of annotating images of a database based on samples. The system creates annotations to images with detection of the object belonging to the keyword. The set of keywords is predefined. After the user searching the first twelve relevant results will be showed. Due to the higher accuracy of the system, the user has to comment results then the system has to learn from the comment of the user.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129722531","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880346
D. Kiss, Dávid Papp
Development of driverless road vehicles is one of the most active research areas of robotics today. Path planning among obstacles is one of the challenging problems to be solved in order to achieve autonomous navigation. In this paper we present a geometric path planning approach for car-like robots, intended for generating good quality paths even in cluttered environments containing narrow areas. The presented planner is designed to cope with situations which need nontrivial maneuvering between obstacles. The resulting paths are similar to those a human driver would find and have continuous curvature profile, which makes them appropriate for application on real cars. A comparative analysis of our method with possible alternatives in the literature is presented to illustrate its effectiveness regarding path quality and computation time.
{"title":"Effective navigation in narrow areas: A planning method for autonomous cars","authors":"D. Kiss, Dávid Papp","doi":"10.1109/SAMI.2017.7880346","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880346","url":null,"abstract":"Development of driverless road vehicles is one of the most active research areas of robotics today. Path planning among obstacles is one of the challenging problems to be solved in order to achieve autonomous navigation. In this paper we present a geometric path planning approach for car-like robots, intended for generating good quality paths even in cluttered environments containing narrow areas. The presented planner is designed to cope with situations which need nontrivial maneuvering between obstacles. The resulting paths are similar to those a human driver would find and have continuous curvature profile, which makes them appropriate for application on real cars. A comparative analysis of our method with possible alternatives in the literature is presented to illustrate its effectiveness regarding path quality and computation time.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128774119","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880341
Sang-Il Oh, Hang-Bong Kang
This paper proposes a modified selective search method that generates object proposals on RGB-D data in indoor scenes. The proposed method first applies color flattening to generate monotonous color variations in RGB image data. Then, from the color-flattened image and depth map data, cost function-based segment grouping and depth segmentation are applied to produce desirable segmentation results. Segment grouping using cost function on image data computes dissimilarities in color, texture, and size between two adjacent regions with pre-learned weights. Depth segmentation uses the height difference of grid cells in the binned depth grid map. The final set of object proposal regions extracted from the RGB image and depth map data is organized by considering the overlapping between two data modalities. Finally, the extracted set of object proposal regions is fed into AlexNet or VGG-16, both of which are widely used for object classification, to evaluate our method on object detection and classification tasks. The proposed segment-based method can precisely detect meaningful object regions using a smaller number of proposals than other methods. Further, its detection and classification performance are better than those of previous methods.
{"title":"A new object proposal generation method for object detection in RGB-D data","authors":"Sang-Il Oh, Hang-Bong Kang","doi":"10.1109/SAMI.2017.7880341","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880341","url":null,"abstract":"This paper proposes a modified selective search method that generates object proposals on RGB-D data in indoor scenes. The proposed method first applies color flattening to generate monotonous color variations in RGB image data. Then, from the color-flattened image and depth map data, cost function-based segment grouping and depth segmentation are applied to produce desirable segmentation results. Segment grouping using cost function on image data computes dissimilarities in color, texture, and size between two adjacent regions with pre-learned weights. Depth segmentation uses the height difference of grid cells in the binned depth grid map. The final set of object proposal regions extracted from the RGB image and depth map data is organized by considering the overlapping between two data modalities. Finally, the extracted set of object proposal regions is fed into AlexNet or VGG-16, both of which are widely used for object classification, to evaluate our method on object detection and classification tasks. The proposed segment-based method can precisely detect meaningful object regions using a smaller number of proposals than other methods. Further, its detection and classification performance are better than those of previous methods.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803162","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880310
A. Holubová, J. Schlenker, V. Socha, J. Mužík, D. Gillar, M. Doksanský, M. Poláček, K. Hána, J. Kašpar, P. Smrcka, M. Cendelínová, J. Gojda
Mental disorders, such as schizophrenia, are accompanied by increased morbidity and mortality rates, potentially reducing the lifespan of patients by up to 10 years. Premature deaths in schizophrenia sufferers are caused mainly by cardiovascular diseases and complications related to excessive weight gain and type 2 diabetes mellitus. Gaining weight is, furthermore, often a side effect of medicine prescribed for the treatment of schizophrenia. This is why treatment protocols are putting a greater emphasis on healthy lifestyle and exercise for patients, which may support both weight loss and suppress feelings of anxiety. It is, therefore, important for a doctor to monitor the exercise habits of their patients. This article focuses on telemonitoring of physical activity and other biological parameters in patients with mental disorders, such as schizophrenia, using the recent m-Health technology in the form of a Fitbit Flex activity tracker. The Soma web portal has been created to continuously monitor, visualize and analyse the data measured on patients within the scope of research activities.
{"title":"Using mobile technologies with psychiatric patients: Assessing the potential to reduce risk of developing diseases related to inactivity","authors":"A. Holubová, J. Schlenker, V. Socha, J. Mužík, D. Gillar, M. Doksanský, M. Poláček, K. Hána, J. Kašpar, P. Smrcka, M. Cendelínová, J. Gojda","doi":"10.1109/SAMI.2017.7880310","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880310","url":null,"abstract":"Mental disorders, such as schizophrenia, are accompanied by increased morbidity and mortality rates, potentially reducing the lifespan of patients by up to 10 years. Premature deaths in schizophrenia sufferers are caused mainly by cardiovascular diseases and complications related to excessive weight gain and type 2 diabetes mellitus. Gaining weight is, furthermore, often a side effect of medicine prescribed for the treatment of schizophrenia. This is why treatment protocols are putting a greater emphasis on healthy lifestyle and exercise for patients, which may support both weight loss and suppress feelings of anxiety. It is, therefore, important for a doctor to monitor the exercise habits of their patients. This article focuses on telemonitoring of physical activity and other biological parameters in patients with mental disorders, such as schizophrenia, using the recent m-Health technology in the form of a Fitbit Flex activity tracker. The Soma web portal has been created to continuously monitor, visualize and analyse the data measured on patients within the scope of research activities.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126392663","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880278
K. Beneda, L. Főző
The main goal of the present paper is to identify the coefficients of the linear state space representation of a small scale turbojet engine with variable area convergent exhaust nozzle through measurements on a real gas turbine. The thermodynamics based mathematical model has been established previously; the further steps are to conduct measurements on the laboratory equipment at the authors' Department and realize MATLAB based simulation in order to create the basis for a linear quadratic robust controller system. The results of this research can be implemented in both industrial and educational fields; it can be used for an extended diagnostic system that increases reliability of the controlled plant as well as it can serve as a good test bench for universities.
{"title":"Identification of small scale turbojet engine with variable exhaust nozzle","authors":"K. Beneda, L. Főző","doi":"10.1109/SAMI.2017.7880278","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880278","url":null,"abstract":"The main goal of the present paper is to identify the coefficients of the linear state space representation of a small scale turbojet engine with variable area convergent exhaust nozzle through measurements on a real gas turbine. The thermodynamics based mathematical model has been established previously; the further steps are to conduct measurements on the laboratory equipment at the authors' Department and realize MATLAB based simulation in order to create the basis for a linear quadratic robust controller system. The results of this research can be implemented in both industrial and educational fields; it can be used for an extended diagnostic system that increases reliability of the controlled plant as well as it can serve as a good test bench for universities.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121115941","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880281
Mehmet Killioglu, M. Taskiran, N. Kahraman
In this work, we focused on liveness detection for facial recognition system's spoofing via fake face movement. We have developed a pupil direction observing system for anti-spoofing in face recognition systems using a basic hardware equipment. Firstly, eye area is being extracted from real time camera by using Haar-Cascade Classifier with specially trained classifier for eye region detection. Feature points have extracted and traced for minimizing person's head movements and getting stable eye region by using Kanade-Lucas-Tomasi (KLT) algorithm. Eye area is being cropped from real time camera frame and rotated for a stable eye area. Pupils are extracted from eye area by using a new improved algorithm subsequently. After a few stable number of frames that has pupils, proposed spoofing algorithm selects a random direction and sends a signal to Arduino to activate that selected direction's LED on a square frame that has totally eight LEDs for each direction. After chosen LED has been activated, eye direction is observed whether pupil direction and LED's position matches. If the compliance requirement is satisfied, algorithm returns data that contains liveness information. Complete algorithm for liveness detection using pupil tracking is tested on volunteers and algorithm achieved high success ratio.
{"title":"Anti-spoofing in face recognition with liveness detection using pupil tracking","authors":"Mehmet Killioglu, M. Taskiran, N. Kahraman","doi":"10.1109/SAMI.2017.7880281","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880281","url":null,"abstract":"In this work, we focused on liveness detection for facial recognition system's spoofing via fake face movement. We have developed a pupil direction observing system for anti-spoofing in face recognition systems using a basic hardware equipment. Firstly, eye area is being extracted from real time camera by using Haar-Cascade Classifier with specially trained classifier for eye region detection. Feature points have extracted and traced for minimizing person's head movements and getting stable eye region by using Kanade-Lucas-Tomasi (KLT) algorithm. Eye area is being cropped from real time camera frame and rotated for a stable eye area. Pupils are extracted from eye area by using a new improved algorithm subsequently. After a few stable number of frames that has pupils, proposed spoofing algorithm selects a random direction and sends a signal to Arduino to activate that selected direction's LED on a square frame that has totally eight LEDs for each direction. After chosen LED has been activated, eye direction is observed whether pupil direction and LED's position matches. If the compliance requirement is satisfied, algorithm returns data that contains liveness information. Complete algorithm for liveness detection using pupil tracking is tested on volunteers and algorithm achieved high success ratio.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133552316","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880347
Michal Smolik, V. Skala
The Radial Basis Function (RBF) interpolation is a common technique for scattered data interpolation. We present and test an approach of RBF interpolation on a sphere which uses the spherical distance on the surface of the sphere instead of the Euclidian distance. We show how the interpolation of vector field data depends on the value of shape parameter of RBF and find the optimal shape parameter for our experiments.
{"title":"Spherical RBF vector field interpolation: Experimental study","authors":"Michal Smolik, V. Skala","doi":"10.1109/SAMI.2017.7880347","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880347","url":null,"abstract":"The Radial Basis Function (RBF) interpolation is a common technique for scattered data interpolation. We present and test an approach of RBF interpolation on a sphere which uses the spherical distance on the surface of the sphere instead of the Euclidian distance. We show how the interpolation of vector field data depends on the value of shape parameter of RBF and find the optimal shape parameter for our experiments.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132425821","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880339
Dan-Adrian Duţescu, M. Radac, R. Precup
Model predictive control (MPC) represents a powerful technique for controlling a system that has an accurate mathematical model for describing its behavior. MPC implies solving an optimization problem (OP) in order to minimize some user defined objective function (OF) subjected to constraints on the characteristic variables. This paper presents a real-time implementation of a nonlinear MPC on a twin rotor aerodynamic system (TRAS). The mathematical model of TRAS is a nonlinear one and has only four measurable states out of six. In order to benefit from state-of-the-art OP solvers, online linearization of the TRAS mathematical model is used both for transforming the OP into a convex one and also for optimal estimation of the states using and Extended Kalman Filter (EKF) approach. Detailed implementation and validation of the proposed MPC approach is offered with insightful discussions.
{"title":"Model predictive control of a nonlinear laboratory twin rotor aero-dynamical system","authors":"Dan-Adrian Duţescu, M. Radac, R. Precup","doi":"10.1109/SAMI.2017.7880339","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880339","url":null,"abstract":"Model predictive control (MPC) represents a powerful technique for controlling a system that has an accurate mathematical model for describing its behavior. MPC implies solving an optimization problem (OP) in order to minimize some user defined objective function (OF) subjected to constraints on the characteristic variables. This paper presents a real-time implementation of a nonlinear MPC on a twin rotor aerodynamic system (TRAS). The mathematical model of TRAS is a nonlinear one and has only four measurable states out of six. In order to benefit from state-of-the-art OP solvers, online linearization of the TRAS mathematical model is used both for transforming the OP into a convex one and also for optimal estimation of the states using and Extended Kalman Filter (EKF) approach. Detailed implementation and validation of the proposed MPC approach is offered with insightful discussions.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133385752","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 : 1900-01-01DOI: 10.1109/SAMI.2017.7880363
L. Kovács, Csaba Maszlag, Miklos Mezei, G. Eigner
The purpose of this paper is to present a Robust Nonlinear Model Predictive Control controller design opportunity and the results of three in silico test scenarios, where a nonlinear glucose model had to be controlled, and a desired blood glucose level had to be maintained. The chosen glucose model was a two compartmental, nonlinear model with time delay whose parameters were burdened with uncertainty. During the three test scenarios the controller performed well. It could keep the blood glucose level in the desired range without dangerous undershoots. In the third test scenario, during the simulation of 28 full days, 80% of the daily extremes lied between 5,5–10 mmol/l. The performance and computational bounds that are present at the moment are addressed and possible solutions are given at the end of the paper.
{"title":"Robust nonlinear model predictive control of diabetes mellitus","authors":"L. Kovács, Csaba Maszlag, Miklos Mezei, G. Eigner","doi":"10.1109/SAMI.2017.7880363","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880363","url":null,"abstract":"The purpose of this paper is to present a Robust Nonlinear Model Predictive Control controller design opportunity and the results of three in silico test scenarios, where a nonlinear glucose model had to be controlled, and a desired blood glucose level had to be maintained. The chosen glucose model was a two compartmental, nonlinear model with time delay whose parameters were burdened with uncertainty. During the three test scenarios the controller performed well. It could keep the blood glucose level in the desired range without dangerous undershoots. In the third test scenario, during the simulation of 28 full days, 80% of the daily extremes lied between 5,5–10 mmol/l. The performance and computational bounds that are present at the moment are addressed and possible solutions are given at the end of the paper.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117274925","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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