Pub Date : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085804
S. Iqbal, Mohammad Sarfraz, Ali S. Allahloh, Anas Nabi
The rapid surge in the usage of automatic electrical appliances and intense early summer heat waves result in a compounded rise in electricity demand. To meet the residential energy demand, distributed energy resources are being used extensively worldwide. Integrating renewable energy sources with the energy management system impacts the consumers and maintains grid sustainability and reliability, preventing brownouts and blackouts. The study aims to minimize energy consumption and cost at consumers’ premises without hindering their comfort. We have used fuzzy logic to control the HVAC system’s setpoint temperature and a Matlab-based smart load simulator to observe and compare the power consumption pattern of three different loads with and without local generation units. The results of the simulations demonstrate a net saving of 28% with a fuzzy controller, 49% in energy consumption, and 52% in cost when renewable energy sources and energy storage are incorporated.
{"title":"Intelligent Residential Energy Management via Fuzzy Logic and Smart Load Simulator","authors":"S. Iqbal, Mohammad Sarfraz, Ali S. Allahloh, Anas Nabi","doi":"10.1109/PIECON56912.2023.10085804","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085804","url":null,"abstract":"The rapid surge in the usage of automatic electrical appliances and intense early summer heat waves result in a compounded rise in electricity demand. To meet the residential energy demand, distributed energy resources are being used extensively worldwide. Integrating renewable energy sources with the energy management system impacts the consumers and maintains grid sustainability and reliability, preventing brownouts and blackouts. The study aims to minimize energy consumption and cost at consumers’ premises without hindering their comfort. We have used fuzzy logic to control the HVAC system’s setpoint temperature and a Matlab-based smart load simulator to observe and compare the power consumption pattern of three different loads with and without local generation units. The results of the simulations demonstrate a net saving of 28% with a fuzzy controller, 49% in energy consumption, and 52% in cost when renewable energy sources and energy storage are incorporated.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126057970","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085887
Sohail Ahmad Parah, M. Jamil
The excess uses of conventional vehicles are the major concern to deteriorate our environment. The excess releases of greenhouse gases from the burning of fossil fuels are the key factors responsible for global warming. Therefore most countries like Saudi Arabia, the USA, India, etc, and their policymakers think that conventional Vehicles must be replaced by electrical vehicles. Electric vehicles play a significant role in improving air quality, energy security, and economic opportunity. The placement of charging station is a complex problem involving a number of constraints, decision variables and objective functions. Therefore, for solving non- linear and complex nature of the charging station placement researchers apply different optimization algorithms. This review paper focuses on the optimal placement of electric vehicle charging station planning using different optimization techniques by various researchers.
{"title":"Techniques for optimal Placement of Electric Vehicle Charging Stations: A review","authors":"Sohail Ahmad Parah, M. Jamil","doi":"10.1109/PIECON56912.2023.10085887","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085887","url":null,"abstract":"The excess uses of conventional vehicles are the major concern to deteriorate our environment. The excess releases of greenhouse gases from the burning of fossil fuels are the key factors responsible for global warming. Therefore most countries like Saudi Arabia, the USA, India, etc, and their policymakers think that conventional Vehicles must be replaced by electrical vehicles. Electric vehicles play a significant role in improving air quality, energy security, and economic opportunity. The placement of charging station is a complex problem involving a number of constraints, decision variables and objective functions. Therefore, for solving non- linear and complex nature of the charging station placement researchers apply different optimization algorithms. This review paper focuses on the optimal placement of electric vehicle charging station planning using different optimization techniques by various researchers.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116575870","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085776
Aquib Mehdi Naqvi, Pushkar Tripathi, S. Singh
Applications of multilevel inverters (MLIs) are increasing extensively. Despite many advantages of MLIs, poor reliability of MLIs is a major concern as MLIs consist of a large number of semiconductor switches. Fault-tolerant topologies provide the solution to this problem. In this paper, a fault detection and identification method is presented for a sevenlevel fault-tolerant inverter. This fault detection method is based on monitoring the total harmonic distortion (THD) in output voltage and average voltage of one cycle. After identification of the faulty switch, the switching sequence and switching angles are to be adjusted. The method of fault detection and identification is verified by simulation results.
{"title":"Fault detection and fault-tolerant operation of a seven-level inverter","authors":"Aquib Mehdi Naqvi, Pushkar Tripathi, S. Singh","doi":"10.1109/PIECON56912.2023.10085776","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085776","url":null,"abstract":"Applications of multilevel inverters (MLIs) are increasing extensively. Despite many advantages of MLIs, poor reliability of MLIs is a major concern as MLIs consist of a large number of semiconductor switches. Fault-tolerant topologies provide the solution to this problem. In this paper, a fault detection and identification method is presented for a sevenlevel fault-tolerant inverter. This fault detection method is based on monitoring the total harmonic distortion (THD) in output voltage and average voltage of one cycle. After identification of the faulty switch, the switching sequence and switching angles are to be adjusted. The method of fault detection and identification is verified by simulation results.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125167117","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085829
Shweta S Hooli, Anusha Vadde, G. Kadambi, K. Manickavasagam
This work is carried out to understand flux distribution around induction motor and their influence on human health. High-capacity Squirrel Cage Induction Motor (SCIM) draws huge currents; hence, the colossal flux density is emitted around the motor. When the leakage flux interfere with high-frequency electromagnetic waves, the influence on a human being is more dominant than power frequency. Time domain Finite Element Analysis (FEA) is performed to get an accurate instant value of magnetic flux distribution in and around motor a 15kW, SCIM. A 3D human head is modelled using FEA and placed in the vicinity of magnetic leakage flux mixed with high-frequency electromagnetic waves. The simulation reveals that magnetic leakage flux from SCIM is harmful to humans. The main objective of this work is to identify safe regions and create awareness of magnetic leakage flux, which can cause human health problems.
{"title":"Stimulus of Magnetic Flux in the Surface Vicinity of Electric Motors on Human Health","authors":"Shweta S Hooli, Anusha Vadde, G. Kadambi, K. Manickavasagam","doi":"10.1109/PIECON56912.2023.10085829","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085829","url":null,"abstract":"This work is carried out to understand flux distribution around induction motor and their influence on human health. High-capacity Squirrel Cage Induction Motor (SCIM) draws huge currents; hence, the colossal flux density is emitted around the motor. When the leakage flux interfere with high-frequency electromagnetic waves, the influence on a human being is more dominant than power frequency. Time domain Finite Element Analysis (FEA) is performed to get an accurate instant value of magnetic flux distribution in and around motor a 15kW, SCIM. A 3D human head is modelled using FEA and placed in the vicinity of magnetic leakage flux mixed with high-frequency electromagnetic waves. The simulation reveals that magnetic leakage flux from SCIM is harmful to humans. The main objective of this work is to identify safe regions and create awareness of magnetic leakage flux, which can cause human health problems.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122765046","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085797
Swati Gupta, Bharat Bhushan Sharma, Vivek Prakash, S. Chawda, K. Sharma
The major power share from uncertain wind power producers would create a formidable challenge for grid management. Uncertain generation characteristics may impact the trading strategy of power producers. Hence, there is a need to model involved uncertainties for accuracy in the trading decision in an electricity market. The randomness of wind speed could be described by a stochastic process and characterized via probabilistic scenarios. However, probabilistic scenario-based models are computationally demanding and require a large number of scenarios. In this regard, this paper presents the modified interval forecast approach along with the stochastic scenario approach. In the modified interval approach uncertain interval is forecasted as upper and lower bounds and hourly ramps are considered using net-load scenarios. The proposed modified interval model results in computationally fast solutions and is accurate to capture available wind power output. Proposed models would be useful for wind power producers in trading decision-making.
{"title":"Scenarios and Modified Interval Based Wind Power Uncertainty Modelling for Decision Making in Electricity Market","authors":"Swati Gupta, Bharat Bhushan Sharma, Vivek Prakash, S. Chawda, K. Sharma","doi":"10.1109/PIECON56912.2023.10085797","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085797","url":null,"abstract":"The major power share from uncertain wind power producers would create a formidable challenge for grid management. Uncertain generation characteristics may impact the trading strategy of power producers. Hence, there is a need to model involved uncertainties for accuracy in the trading decision in an electricity market. The randomness of wind speed could be described by a stochastic process and characterized via probabilistic scenarios. However, probabilistic scenario-based models are computationally demanding and require a large number of scenarios. In this regard, this paper presents the modified interval forecast approach along with the stochastic scenario approach. In the modified interval approach uncertain interval is forecasted as upper and lower bounds and hourly ramps are considered using net-load scenarios. The proposed modified interval model results in computationally fast solutions and is accurate to capture available wind power output. Proposed models would be useful for wind power producers in trading decision-making.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131218542","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 last few years, the problem of recognizing the objects and the context of the image has gained a rising interest. Image Captioning is a task of recognizing the context of the image and then generating a caption for it with proper grammar structure. Generating captions automatically will be helpful for visually impaired people to understand the picture better. To achieve this task a hybrid model is defined in this paper which uses CNN (Convolutional Neural Network) and LSTM (Long Short-Term Memory). The model will be trained using Flickr8K data sets with containing 8000 images and 5 captions for each image.
{"title":"Image Captioning Using Python","authors":"Aalind Singh, Avinash Shah, Praveen Kumar, Himanshu Chaudhary, Abhishek Sharma, Akash Chaudhary, Abhinav Dixit","doi":"10.1109/PIECON56912.2023.10085724","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085724","url":null,"abstract":"In the last few years, the problem of recognizing the objects and the context of the image has gained a rising interest. Image Captioning is a task of recognizing the context of the image and then generating a caption for it with proper grammar structure. Generating captions automatically will be helpful for visually impaired people to understand the picture better. To achieve this task a hybrid model is defined in this paper which uses CNN (Convolutional Neural Network) and LSTM (Long Short-Term Memory). The model will be trained using Flickr8K data sets with containing 8000 images and 5 captions for each image.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132358702","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085835
T. A. Tarray, Z. A. Ganie
We explore a randomized response model in a two stage stratified random sampling model and try to minimize the variance while taking costs into consideration using the existing optimization model as a guide. Applying the alpha-cut method’s optimal allocation strategy at the specified alpha value solves the problem. Additionally provided as support for the current study are numerical examples.
{"title":"An optimization model using soft computing with the randomised response technique","authors":"T. A. Tarray, Z. A. Ganie","doi":"10.1109/PIECON56912.2023.10085835","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085835","url":null,"abstract":"We explore a randomized response model in a two stage stratified random sampling model and try to minimize the variance while taking costs into consideration using the existing optimization model as a guide. Applying the alpha-cut method’s optimal allocation strategy at the specified alpha value solves the problem. Additionally provided as support for the current study are numerical examples.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"7 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133322401","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}
Permanent magnet synchronous motors (PMSM) are widely used in many applications due to their simple structure, robustness, and low cost. It is extensively used in industrial, domestic, aerospace, and military applications. These motors often provide improved stability of operation, linearity, speed control, and higher efficiency. A permanent magnet synchronous motor is designed and the effect of Inter Turn Short Circuit (ITSC) fault on performance characteristics is carried out for different severity levels by using Finite Element Method (FEM). Electrical faults lead to the critical failure of the electrical motors. Short circuit faults come under Electrical Faults. The finite element method provides a finite and inexpensive technique for analyzing electric motors. This method takes into account all the complex geometry, nonlinear characteristics of the motor, end effects, and axial fringing effects. Fault detection and analysis in PMSM using this method can assure the reliability of detection as well as the sensitivity of fault in a PMSM.
{"title":"Effect of Inter-Turn Short Circuit Fault on Performance Parameters of Permanent Magnet Synchronous Motor using Finite Element Method","authors":"Veera Reddy Aduru, Vimala Kumari Jonnalagadda, Alapati Sireesha","doi":"10.1109/PIECON56912.2023.10085899","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085899","url":null,"abstract":"Permanent magnet synchronous motors (PMSM) are widely used in many applications due to their simple structure, robustness, and low cost. It is extensively used in industrial, domestic, aerospace, and military applications. These motors often provide improved stability of operation, linearity, speed control, and higher efficiency. A permanent magnet synchronous motor is designed and the effect of Inter Turn Short Circuit (ITSC) fault on performance characteristics is carried out for different severity levels by using Finite Element Method (FEM). Electrical faults lead to the critical failure of the electrical motors. Short circuit faults come under Electrical Faults. The finite element method provides a finite and inexpensive technique for analyzing electric motors. This method takes into account all the complex geometry, nonlinear characteristics of the motor, end effects, and axial fringing effects. Fault detection and analysis in PMSM using this method can assure the reliability of detection as well as the sensitivity of fault in a PMSM.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133592579","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085860
S. Prabhu, V. Arun, M. Balaji, V. Kalaimagal, A. Manikandan, V. Chandrasekar
An assortment of variable reluctance electric engines used in traction applications are modelled and researched here. The main aim of the article is to identify the best motor with superior characteristics. The motor considered for analysis are Synchronous Reluctance Motors (SyRM) as one, two, three and four layer in angled barrier are investigated and compared with the parameters as torque ripple, to find the behavior of the motor. The 2 kW, 48 V, 1500 RPM, three phase are the specifications of the motors considered for analysis. The analysis is executed in the finite element analysis environment by utilizing motorsolve package. SyRM is analyzed for angled barrier and notched types. After examining each kind of motor, it has been determined that the synchronous reluctance motor together with the two-layer angled barrier motor is the most effective form of motor.
{"title":"Performance Investigations on Synchronous Reluctance Motor for Automotive Applications","authors":"S. Prabhu, V. Arun, M. Balaji, V. Kalaimagal, A. Manikandan, V. Chandrasekar","doi":"10.1109/PIECON56912.2023.10085860","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085860","url":null,"abstract":"An assortment of variable reluctance electric engines used in traction applications are modelled and researched here. The main aim of the article is to identify the best motor with superior characteristics. The motor considered for analysis are Synchronous Reluctance Motors (SyRM) as one, two, three and four layer in angled barrier are investigated and compared with the parameters as torque ripple, to find the behavior of the motor. The 2 kW, 48 V, 1500 RPM, three phase are the specifications of the motors considered for analysis. The analysis is executed in the finite element analysis environment by utilizing motorsolve package. SyRM is analyzed for angled barrier and notched types. After examining each kind of motor, it has been determined that the synchronous reluctance motor together with the two-layer angled barrier motor is the most effective form of motor.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134369257","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085903
Pratiksha Gupta, M. A. Ansari, I. Ali
This article provides an smart energy management system (EMS) for a renewable energy strategy as well as an efficient control technique to link with the utility grid. It is necessary to adapt a conventional Energy Management System (EMS) in order to handle these problems and take into account the special characteristics of microgrids. Even though many studies have achieved excellent research findings, they only addressed a portion of the requirements or just used simulations to verify their EMSs. The continual requirement to adjust to new load types and production tactics makes the power system more challenging. In order to achieve the desired outcome, communication technology that connects the controller units and electrical devices / sensors for various end users and utilities is crucial. The prosumers and end users have access to data for making decisions about the smart grid thanks to the Internet of Things (IoT), which is the newest and fastest-growing form of modern communication. This paper talks about smart energy management techniques and utilize IoT to manage, control, and monitor electrical energy.
{"title":"Smart Energy Management Techniques of Microgrid: A Review","authors":"Pratiksha Gupta, M. A. Ansari, I. Ali","doi":"10.1109/PIECON56912.2023.10085903","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085903","url":null,"abstract":"This article provides an smart energy management system (EMS) for a renewable energy strategy as well as an efficient control technique to link with the utility grid. It is necessary to adapt a conventional Energy Management System (EMS) in order to handle these problems and take into account the special characteristics of microgrids. Even though many studies have achieved excellent research findings, they only addressed a portion of the requirements or just used simulations to verify their EMSs. The continual requirement to adjust to new load types and production tactics makes the power system more challenging. In order to achieve the desired outcome, communication technology that connects the controller units and electrical devices / sensors for various end users and utilities is crucial. The prosumers and end users have access to data for making decisions about the smart grid thanks to the Internet of Things (IoT), which is the newest and fastest-growing form of modern communication. This paper talks about smart energy management techniques and utilize IoT to manage, control, and monitor electrical energy.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122200768","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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