This paper is the third part of the complex combat dynamics series, called tensor-centric warfare (for the first two parts, see [1] [2]). In the present paper, we extend the tensor combat model from [1] and [2] to model the dynamics of delta-strikes/missiles , which are temporally confined strong kinetic effects . The scenarios analyzed here include both deterministic and random delta-strikes which mimic single, multiple and continuous-time missile attacks. We also look at the bidirectional random strike as well as the general Hamilton-Langevin dynamics framework and provide an interpretation of the results obtained through simulation.
{"title":"Tensor-Centric Warfare III: Combat Dynamics with Delta-Strikes","authors":"V. Ivancevic, P. Pourbeik, D. Reid","doi":"10.4236/ica.2018.94009","DOIUrl":"https://doi.org/10.4236/ica.2018.94009","url":null,"abstract":"This paper is the third part of the complex combat dynamics series, called tensor-centric warfare (for the first two parts, see [1] [2]). In the present paper, we extend the tensor combat model from [1] and [2] to model the dynamics of delta-strikes/missiles , which are temporally confined strong kinetic effects . The scenarios analyzed here include both deterministic and random delta-strikes which mimic single, multiple and continuous-time missile attacks. We also look at the bidirectional random strike as well as the general Hamilton-Langevin dynamics framework and provide an interpretation of the results obtained through simulation.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"107-122"},"PeriodicalIF":0.0,"publicationDate":"2018-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42014571","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}
M. A. Alsubaie, Mubarak K. Alhajri, Tarek S. Altowaim
Repetitive Control (RC) designed with state feedback that includes past error feedforward and current error feedback schemes for linear time-invariant systems is reintroduced. Periodic disturbances are common within repetitive systems and can be represented with a time-delay model. The proposed design focuses on isolating the disturbance model and finding the overall transfer function around the delay model. The use of the small gain theorem around the delay model assures disturbance accommodation if stability conditions are achieved. This paper reintroduces the designed RC controller within the state feedback in the presence of both past error and current error structures. Robustness conditions are investigated and set to enhance system performance in the presence of modelling mismatch, which represents the novel contribution in this paper. Simulations demonstrate the advantages of the robust conditions obtained while improving system performance for dynamic perturbations.
{"title":"Repetitive Control Uncertainty Conditions in State Feedback Solution","authors":"M. A. Alsubaie, Mubarak K. Alhajri, Tarek S. Altowaim","doi":"10.4236/ICA.2018.94008","DOIUrl":"https://doi.org/10.4236/ICA.2018.94008","url":null,"abstract":"Repetitive Control (RC) designed with state feedback that includes past error feedforward and current error feedback schemes for linear time-invariant systems is reintroduced. Periodic disturbances are common within repetitive systems and can be represented with a time-delay model. The proposed design focuses on isolating the disturbance model and finding the overall transfer function around the delay model. The use of the small gain theorem around the delay model assures disturbance accommodation if stability conditions are achieved. This paper reintroduces the designed RC controller within the state feedback in the presence of both past error and current error structures. Robustness conditions are investigated and set to enhance system performance in the presence of modelling mismatch, which represents the novel contribution in this paper. Simulations demonstrate the advantages of the robust conditions obtained while improving system performance for dynamic perturbations.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"95-106"},"PeriodicalIF":0.0,"publicationDate":"2018-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42612142","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}
Ryuichi Tanioka, R. Locsin, Yuko Yasuhara, T. Tanioka
In Japan, the shortage of personnel is a problem in long-term care nursing and rehabilitative care prevention. Nevertheless, Japan has taken measures to compensate for these shortages by promoting medical and nursing care activities using robotic technologies, and employing human resources from overseas. The purpose of this study was to determine potential legal issues and subsequent implications for care during prevention gymnastic exercises for the elderly using Pepper in long-term health facilities. The application program of Care-Prevention Gymnastics Exercises for Pepper (Pepper with CPGE) was made by the Xing Company Japan. Currently, care workers become intermediaries for the safe use of Pepper with CPGE. However, it was realized that some legal issues may arise if Pepper with CPGE alone will carry out these preventive care programs for the elderly without the presence of care workers as intermediaries. In this situation, using Pepper with CPGE alone to conduct care prevention gymnastics will require safety measures to prevent these possible practice issues and anticipate implications for care. In this regard, determining detailed target levels of rehabilitation exercise demands and environmental setting safety become essential factors. The use of humanoid robots in healthcare is expected to influence more practice protocols in contemporary and futurist rehabilitative human care. The identification of possible safety issues in performance and environmental situations, and implications for care are critical to ensure safe and valuable rehabilitative health care practices for the elderly population.
{"title":"Potential Legal Issues and Care Implications during Care-Prevention Gymnastic Exercises for the Elderly Using Pepper in Long Term Health Care Facilities","authors":"Ryuichi Tanioka, R. Locsin, Yuko Yasuhara, T. Tanioka","doi":"10.4236/ICA.2018.93007","DOIUrl":"https://doi.org/10.4236/ICA.2018.93007","url":null,"abstract":"In Japan, the shortage of personnel is a problem in long-term care nursing and rehabilitative care prevention. Nevertheless, Japan has taken measures to compensate for these shortages by promoting medical and nursing care activities using robotic technologies, and employing human resources from overseas. The purpose of this study was to determine potential legal issues and subsequent implications for care during prevention gymnastic exercises for the elderly using Pepper in long-term health facilities. The application program of Care-Prevention Gymnastics Exercises for Pepper (Pepper with CPGE) was made by the Xing Company Japan. Currently, care workers become intermediaries for the safe use of Pepper with CPGE. However, it was realized that some legal issues may arise if Pepper with CPGE alone will carry out these preventive care programs for the elderly without the presence of care workers as intermediaries. In this situation, using Pepper with CPGE alone to conduct care prevention gymnastics will require safety measures to prevent these possible practice issues and anticipate implications for care. In this regard, determining detailed target levels of rehabilitation exercise demands and environmental setting safety become essential factors. The use of humanoid robots in healthcare is expected to influence more practice protocols in contemporary and futurist rehabilitative human care. The identification of possible safety issues in performance and environmental situations, and implications for care are critical to ensure safe and valuable rehabilitative health care practices for the elderly population.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"85-93"},"PeriodicalIF":0.0,"publicationDate":"2018-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42956649","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}
Weather plays an important role in our farming system. In greenhouse or internal farming system, weather monitoring is important. For better production and maintenance, it is important to monitor. This project is developed for forecasting weather parameters like humidity, temperature, soil moisture, and raid detection. Humidity and temperature are monitored for internal temperature. The soil is the most important part of a greenhouse. In this project, soil moisture level is monitored and controlled for maintaining soil moisture level. Rain detection is used in outside of the farm. It detects rainwater and sends a message to the server. It is monitored by using a local server. In remote routing area, it also can be monitored and controlled without physical existence. Also, it is a low-cost weather monitoring system for the agro farm. The Raspberry Pi is a low cost, credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. The monitoring system could be designed by using the sensor. It is useful for forecasting and data analysis process. In this project weather forecasting system is designed by using a sensor. In this project, Raspberry Pi work like a remote monitoring and controlling system for the agro farm.
{"title":"Design and Development of Weather Monitoring and Controlling System for a Smart Agro (Farm)","authors":"Sumya Tabassum, A. Hossain","doi":"10.4236/ICA.2018.93005","DOIUrl":"https://doi.org/10.4236/ICA.2018.93005","url":null,"abstract":"Weather plays an important role in our farming system. In greenhouse or internal farming system, weather monitoring is important. For better production and maintenance, it is important to monitor. This project is developed for forecasting weather parameters like humidity, temperature, soil moisture, and raid detection. Humidity and temperature are monitored for internal temperature. The soil is the most important part of a greenhouse. In this project, soil moisture level is monitored and controlled for maintaining soil moisture level. Rain detection is used in outside of the farm. It detects rainwater and sends a message to the server. It is monitored by using a local server. In remote routing area, it also can be monitored and controlled without physical existence. Also, it is a low-cost weather monitoring system for the agro farm. The Raspberry Pi is a low cost, credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. The monitoring system could be designed by using the sensor. It is useful for forecasting and data analysis process. In this project weather forecasting system is designed by using a sensor. In this project, Raspberry Pi work like a remote monitoring and controlling system for the agro farm.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"65-73"},"PeriodicalIF":0.0,"publicationDate":"2018-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44901228","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}
F. Akter, Amatul Bushra Akhi, N. Farin, M. M. Khondoker, Md. Golam Saklayen
Automated attendance management system will reduce complexity by eliminating plenty of manual processes involved in attendance system and calculating hours attended. This paper presents a simple technique of taking student attendance in the form of an Internet of Things (IoT) based system that records the attendance using fingerprint-based system and stores them securely in a database. We use NodeMCUV3, RFID Module and Fingerprint sensor module in our system. The fingerprint module is responsible for authentication of the students. RFID Module is used to scan the RFID tag and sends data to the central server. By using this information, the system will generate an attendance report which can be accessed for further use.
{"title":"IoTSAMS: A Novel Framework for Internet of Things (IoT) Based Smart Attendance Management System","authors":"F. Akter, Amatul Bushra Akhi, N. Farin, M. M. Khondoker, Md. Golam Saklayen","doi":"10.4236/ica.2018.93006","DOIUrl":"https://doi.org/10.4236/ica.2018.93006","url":null,"abstract":"Automated attendance management system will reduce complexity by eliminating plenty of manual processes involved in attendance system and calculating hours attended. This paper presents a simple technique of taking student attendance in the form of an Internet of Things (IoT) based system that records the attendance using fingerprint-based system and stores them securely in a database. We use NodeMCUV3, RFID Module and Fingerprint sensor module in our system. The fingerprint module is responsible for authentication of the students. RFID Module is used to scan the RFID tag and sends data to the central server. By using this information, the system will generate an attendance report which can be accessed for further use.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"74-84"},"PeriodicalIF":0.0,"publicationDate":"2018-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47785720","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}
We propose the basis for a rigorous approach to modeling combat, specifically under conditions of complexity and uncertainty. The proposed basis is a tensorial generalization of earlier Lanchester-type equations, inspired by the contemporary debate in defence and military circles around how to best utilize information and communications systems in military operations, including the distributed C4ISR system (Command, Control, Communications, Computing, Intelligence, Surveillance and Reconnaissance). Despite attracting considerable interest and spawning several efforts to develop sound theoretical frameworks for informing force design decision-making, the development of good frameworks for analytically modeling combat remains anything but decided. Using a simple combat scenario, we first develop a tensor generalization of the Lanchester square law, and then extend it to also include the Lanchester linear law, which represents the effect of suppressive fire. We also add on-off control inputs, and discuss the results of a simple simulation of the final model using our small scenario.
{"title":"Tensor-Centric Warfare I: Tensor Lanchester Equations","authors":"V. Ivancevic, P. Pourbeik, D. Reid","doi":"10.4236/ica.2018.92002","DOIUrl":"https://doi.org/10.4236/ica.2018.92002","url":null,"abstract":"We propose the basis for a rigorous approach to modeling combat, specifically under conditions of complexity and uncertainty. The proposed basis is a tensorial generalization of earlier Lanchester-type equations, inspired by the contemporary debate in defence and military circles around how to best utilize information and communications systems in military operations, including the distributed C4ISR system (Command, Control, Communications, Computing, Intelligence, Surveillance and Reconnaissance). Despite attracting considerable interest and spawning several efforts to develop sound theoretical frameworks for informing force design decision-making, the development of good frameworks for analytically modeling combat remains anything but decided. Using a simple combat scenario, we first develop a tensor generalization of the Lanchester square law, and then extend it to also include the Lanchester linear law, which represents the effect of suppressive fire. We also add on-off control inputs, and discuss the results of a simple simulation of the final model using our small scenario.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"11-29"},"PeriodicalIF":0.0,"publicationDate":"2018-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43351828","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}
In the first paper of the tensor-centric warfare (TCW) series [1], we proposed a tensor model of combat generalizing earlier Lanchester-type systems with a particular emphasis on contemporary military thinking, including the distributed C4ISR system (Command, Control, Communications, Computing, Intelligence, Surveillance and Reconnaissance). In the present paper, we extend this initial tensor combat model with entropic Lie-derivative machinery in order to capture some aspects of this deep uncertainty, while, in the process, formalizing into our model military notion of symmetry and asymmetry in warfare as a commutator, also known as a Lie bracket. In doing so, we have sought to shift the question from the prediction of outcomes of combat, upon which previous combat models such as the Lanchester-type equations have been typically constructed, towards determining the uncertainty outcomes, using a rigorous analytical basis.
{"title":"Tensor-Centric Warfare II: Entropic Uncertainty Modeling","authors":"V. Ivancevic, D. Reid, P. Pourbeik","doi":"10.4236/ica.2018.92003","DOIUrl":"https://doi.org/10.4236/ica.2018.92003","url":null,"abstract":"In the first paper of the tensor-centric warfare (TCW) series [1], we proposed a tensor model of combat generalizing earlier Lanchester-type systems with a particular emphasis on contemporary military thinking, including the distributed C4ISR system (Command, Control, Communications, Computing, Intelligence, Surveillance and Reconnaissance). In the present paper, we extend this initial tensor combat model with entropic Lie-derivative machinery in order to capture some aspects of this deep uncertainty, while, in the process, formalizing into our model military notion of symmetry and asymmetry in warfare as a commutator, also known as a Lie bracket. In doing so, we have sought to shift the question from the prediction of outcomes of combat, upon which previous combat models such as the Lanchester-type equations have been typically constructed, towards determining the uncertainty outcomes, using a rigorous analytical basis.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"30-51"},"PeriodicalIF":0.0,"publicationDate":"2018-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43205439","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}
This paper presents the design of a high performance robust resonant controller for the islanded single-phase microgrid operation on different loads conditions. The design of the controller is done using the results of Negative Imaginary approach. The performance of the proposed controller has been found much effective to track the instantaneous reference grid voltage. The simulation work has been done with the help of MATLAB/SimPower System toolbox. This shows that the proposed controller provides effective control of voltage against the uncertain load conditions.
{"title":"Negative Imaginary Approached High Performance Robust Resonant Controller Design for Single-Phase Islanded Microgrid and Its Voltage Observation on Different Load Condition","authors":"Arnob Kumar Bairagi, A. Habib, Rakib Rahman, Motiur Rahman, Moniruzzaman Jewel","doi":"10.4236/ICA.2018.92004","DOIUrl":"https://doi.org/10.4236/ICA.2018.92004","url":null,"abstract":"This paper presents the design of a high performance robust resonant controller for the islanded single-phase microgrid operation on different loads conditions. The design of the controller is done using the results of Negative Imaginary approach. The performance of the proposed controller has been found much effective to track the instantaneous reference grid voltage. The simulation work has been done with the help of MATLAB/SimPower System toolbox. This shows that the proposed controller provides effective control of voltage against the uncertain load conditions.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"52-63"},"PeriodicalIF":0.0,"publicationDate":"2018-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42897594","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}
Heating, ventilation, and air conditioning (HVAC) system is significant to the energy efficiency in buildings. In this paper, temperature control of HVAC system is studied in winter operation season. The physical model of the zone, the fan, the heating coil and sensor are built. HVAC is a non-linear, strong disturbance and coupling system. Linear active-rejection-disturbance-control is an appreciate control algorithm which can adapt to less information, strong-disturbance influence, and has relative-fixed structure and simple tuning process of the controller parameters. Active-rejection-disturbance-control of the HVAC system is proposed. Simulation in Matlab/Simulink was done. Simulation results show that linear active-rejection-disturbance-control was prior to PID and integral-fuzzy controllers in rising time, overshoot and response time of step disturbance. The study can provide fundamental basis for the control of the air-condition system with strong-disturbance and high-precision needed.
{"title":"Active-Disturbance-Rejection-Control for Temperature Control of the HVAC System","authors":"Chun-E. Huang, Chunwang Li, Xiaojun Ma","doi":"10.4236/ICA.2018.91001","DOIUrl":"https://doi.org/10.4236/ICA.2018.91001","url":null,"abstract":"Heating, ventilation, and air conditioning (HVAC) system is significant to the energy efficiency in buildings. In this paper, temperature control of HVAC system is studied in winter operation season. The physical model of the zone, the fan, the heating coil and sensor are built. HVAC is a non-linear, strong disturbance and coupling system. Linear active-rejection-disturbance-control is an appreciate control algorithm which can adapt to less information, strong-disturbance influence, and has relative-fixed structure and simple tuning process of the controller parameters. Active-rejection-disturbance-control of the HVAC system is proposed. Simulation in Matlab/Simulink was done. Simulation results show that linear active-rejection-disturbance-control was prior to PID and integral-fuzzy controllers in rising time, overshoot and response time of step disturbance. The study can provide fundamental basis for the control of the air-condition system with strong-disturbance and high-precision needed.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"09 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45774968","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}
This paper proposes a novel Hamiltonian servo system, a combined modeling framework for control and estimation of a large team/fleet of autonomous robotic vehicles. The Hamiltonian servo framework represents high-dimensional, nonlinear and non-Gaussian generalization of the classical Kalman servo system. After defining the Kalman servo as a motivation, we define the affine Hamiltonian neural network for adaptive nonlinear control of a team of UGVs in continuous time. We then define a high-dimensional Bayesian particle filter for estimation of a team of UGVs in discrete time. Finally, we formulate a hybrid Hamiltonian servo system by combining the continuous-time control and the discrete-time estimation into a coherent framework that works like a predictor-corrector system.
{"title":"Hamiltonian Servo: Control and Estimation of a Large Team of Autonomous Robotic Vehicles","authors":"V. Ivancevic, P. Pourbeik","doi":"10.4236/ICA.2017.84014","DOIUrl":"https://doi.org/10.4236/ICA.2017.84014","url":null,"abstract":"This paper proposes a novel Hamiltonian servo system, a combined modeling framework for control and estimation of a large team/fleet of autonomous robotic vehicles. The Hamiltonian servo framework represents high-dimensional, nonlinear and non-Gaussian generalization of the classical Kalman servo system. After defining the Kalman servo as a motivation, we define the affine Hamiltonian neural network for adaptive nonlinear control of a team of UGVs in continuous time. We then define a high-dimensional Bayesian particle filter for estimation of a team of UGVs in discrete time. Finally, we formulate a hybrid Hamiltonian servo system by combining the continuous-time control and the discrete-time estimation into a coherent framework that works like a predictor-corrector system.","PeriodicalId":62904,"journal":{"name":"智能控制与自动化(英文)","volume":"08 1","pages":"175-197"},"PeriodicalIF":0.0,"publicationDate":"2017-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49341333","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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