Pub Date : 2014-11-01DOI: 10.1109/CIPECH.2014.7019071
Ekata, P. Tyagi, Harshit Singhal
In this paper, we are using Neurofuzzy system for either prediagnosis or preidentification of leukemia. Mainly the technique of Backpropagation algorithm is used in order to complete the process of training and testing our data, that (data) has already been obtained by generating the Sugeno based model of all considered rules, based on different symptoms of Leukemia taken as input in this procedure. In carcinogenesis, Neurofuzzy is favourably applicable to sort out various types of problems occurs in both pre-clinical as well as post-clinical types of diagnosis. In this application, a fuzzy logic dependent system is presented for the support of the justification of disease for prediagnosis of Leukemia.
{"title":"Neurofuzzy inference system for diagnosis of Leukemia","authors":"Ekata, P. Tyagi, Harshit Singhal","doi":"10.1109/CIPECH.2014.7019071","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019071","url":null,"abstract":"In this paper, we are using Neurofuzzy system for either prediagnosis or preidentification of leukemia. Mainly the technique of Backpropagation algorithm is used in order to complete the process of training and testing our data, that (data) has already been obtained by generating the Sugeno based model of all considered rules, based on different symptoms of Leukemia taken as input in this procedure. In carcinogenesis, Neurofuzzy is favourably applicable to sort out various types of problems occurs in both pre-clinical as well as post-clinical types of diagnosis. In this application, a fuzzy logic dependent system is presented for the support of the justification of disease for prediagnosis of Leukemia.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114392347","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7019068
S. Urooj, Monika Singh, R. Dohare, Ankesh Yadav, Shilpi Ghosh, Snigdha Sharma
The area of material analysis demands wide research for variety of engineering applications in diversified fields. The aim of this study is to compute and investigate the properties of steel and aluminium by using specified software ABAQUS-CAE(6-10). The impact of applied load and change in temperature for these two materials for hollow and solid cylinder, solid cantilever beam is computed and analysed. It is found that the change in certain parameter leads to the change in the dimensions of the chosen specimen which could be utilized as performance measure for variety of engineering applications viz., power system material, biomaterials and other industrial purposes.
{"title":"Computation & analysis of aluminum and steel structures by using ABAQUS software for engineering applications","authors":"S. Urooj, Monika Singh, R. Dohare, Ankesh Yadav, Shilpi Ghosh, Snigdha Sharma","doi":"10.1109/CIPECH.2014.7019068","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019068","url":null,"abstract":"The area of material analysis demands wide research for variety of engineering applications in diversified fields. The aim of this study is to compute and investigate the properties of steel and aluminium by using specified software ABAQUS-CAE(6-10). The impact of applied load and change in temperature for these two materials for hollow and solid cylinder, solid cantilever beam is computed and analysed. It is found that the change in certain parameter leads to the change in the dimensions of the chosen specimen which could be utilized as performance measure for variety of engineering applications viz., power system material, biomaterials and other industrial purposes.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114448814","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7019037
D. Kumar, S. B. Singh
Fuzzy set theory has been studied extensively over the past several decades. It has been applied to solve many real life problems including system reliability. In this paper we define rough intuitionistic fuzzy sets with their properties and present a new method for analyzing fuzzy reliability of different types of systems considering the reliability of the components as rough intuitionistic fuzzy sets for handling the vagueness and incompleteness in information.
{"title":"Evaluating fuzzy reliability using rough intuitionistic fuzzy set","authors":"D. Kumar, S. B. Singh","doi":"10.1109/CIPECH.2014.7019037","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019037","url":null,"abstract":"Fuzzy set theory has been studied extensively over the past several decades. It has been applied to solve many real life problems including system reliability. In this paper we define rough intuitionistic fuzzy sets with their properties and present a new method for analyzing fuzzy reliability of different types of systems considering the reliability of the components as rough intuitionistic fuzzy sets for handling the vagueness and incompleteness in information.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117279128","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7019089
S. Yamujala, Mehtab Fatima, Indrakanti Abhinay Sri Teja, Y. Lahari
Indian electricity network is going through reformations for increasing efficiency, power quality and reliability of power system. Apart from unbundling, there is a need for integrating Distributed Generation (DG) to power system network for producing green power and to bridge the gap between supply and demand. In this paper, different technologies for DG, their installation cost comparison with conventional power generation technologies and few power quality issues that may arise with its integration to existing distribution network are discussed.
{"title":"Present scenario of distributed generation in India — Technologies, cost analysis & power quality issues","authors":"S. Yamujala, Mehtab Fatima, Indrakanti Abhinay Sri Teja, Y. Lahari","doi":"10.1109/CIPECH.2014.7019089","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019089","url":null,"abstract":"Indian electricity network is going through reformations for increasing efficiency, power quality and reliability of power system. Apart from unbundling, there is a need for integrating Distributed Generation (DG) to power system network for producing green power and to bridge the gap between supply and demand. In this paper, different technologies for DG, their installation cost comparison with conventional power generation technologies and few power quality issues that may arise with its integration to existing distribution network are discussed.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124841992","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7019067
Rajneesh Sharma
Navigation and control of an unmanned aerial vehicle (UAV) is a challenging problem and could be framed as a Reinforcement Learning (RL) task. Herein, we propose to use reinforcement learning for designing a UAV autopilot based on the Fuzzy Q Learning (FQL) approach. Proposed control scheme envisages an amalgamation of proportional (P) control that stabilizes the UAV and an action triggering Fuzzy Inference system (FIS) control that learns the correct control action to achieve the desired flight trajectory for a UAV flight. We test the proposed RL based UAV control for three cases: (i) Altitude control (ii) Trajectory Tracking, and (iii) Reconnaissance flight of a UAV. Results demonstrate the viability and effectiveness of a UAV autopilot designed using FQL.
{"title":"Fuzzy Q learning based UAV autopilot","authors":"Rajneesh Sharma","doi":"10.1109/CIPECH.2014.7019067","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019067","url":null,"abstract":"Navigation and control of an unmanned aerial vehicle (UAV) is a challenging problem and could be framed as a Reinforcement Learning (RL) task. Herein, we propose to use reinforcement learning for designing a UAV autopilot based on the Fuzzy Q Learning (FQL) approach. Proposed control scheme envisages an amalgamation of proportional (P) control that stabilizes the UAV and an action triggering Fuzzy Inference system (FIS) control that learns the correct control action to achieve the desired flight trajectory for a UAV flight. We test the proposed RL based UAV control for three cases: (i) Altitude control (ii) Trajectory Tracking, and (iii) Reconnaissance flight of a UAV. Results demonstrate the viability and effectiveness of a UAV autopilot designed using FQL.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130196235","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7018212
S. Jaiswal, V. Shrivastava
FACTS technology was introduced into the distribution system (then called FACDS) to improve the distribution system performance. UPFC (Unified Power Flow Controller) is considered to be one of the best suited for power flow control as it controls all the three parameters of distribution line (i.e. impedance, voltage and phase angle). This paper presents a method for minimizing the distribution losses and improving the node voltage profile using UPFC. MATLab program was developed for power flow analysis using Newton-Raphson algorithms and to obtain the optimal location of UPFC using minimum loss as objective function. The proposed method is tested on the IEEE 33 RDS (radial distribution system) standard network.
{"title":"Allocation of UPFC in distribution system to minimize the losses","authors":"S. Jaiswal, V. Shrivastava","doi":"10.1109/CIPECH.2014.7018212","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7018212","url":null,"abstract":"FACTS technology was introduced into the distribution system (then called FACDS) to improve the distribution system performance. UPFC (Unified Power Flow Controller) is considered to be one of the best suited for power flow control as it controls all the three parameters of distribution line (i.e. impedance, voltage and phase angle). This paper presents a method for minimizing the distribution losses and improving the node voltage profile using UPFC. MATLab program was developed for power flow analysis using Newton-Raphson algorithms and to obtain the optimal location of UPFC using minimum loss as objective function. The proposed method is tested on the IEEE 33 RDS (radial distribution system) standard network.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122418799","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7018208
H. Ahuja, Arika Singh, Arvind Sharma
Renewable energy resources are getting increased attention from researchers because of depleting fossil resources, increasing fuel prices and the concern of climate change and global warming. In a country like India where long coastal line is available, offshore wind farms are one of the attractive options. Over last two decades the wind power penetration in to the grid is increasing at a very fast rate and therefore the wind farms are now required to participate actively in grid operation by an appropriate generation control. The advantage of using a Permanent Magnet Synchronous Generator for wind energy conversion systems is that its efficiency is higher compared to other variable speed WT configurations, its full scale converter allows full controllability, gearbox can be omitted by using higher number of poles of PMSG. This paper proposes the complete modeling and simulation, and analysis of a PMSG based WECS in terms of its power quality, range of wind speed that it can handle and the power balance when the machine is operating under varying wind velocity conditions. Vector control strategy is employed for both the converters connected, in cascade, between generator and the power grid. The WECS is analyzed under both partial and full-load regime. Generator control is applied for power optimization when wind speed is less than rated speed and pitch control is applied for speeds higher than rated speed but below cut-out speed.
{"title":"Large scale wind energy conversion system using permanent magnet synchronous generator","authors":"H. Ahuja, Arika Singh, Arvind Sharma","doi":"10.1109/CIPECH.2014.7018208","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7018208","url":null,"abstract":"Renewable energy resources are getting increased attention from researchers because of depleting fossil resources, increasing fuel prices and the concern of climate change and global warming. In a country like India where long coastal line is available, offshore wind farms are one of the attractive options. Over last two decades the wind power penetration in to the grid is increasing at a very fast rate and therefore the wind farms are now required to participate actively in grid operation by an appropriate generation control. The advantage of using a Permanent Magnet Synchronous Generator for wind energy conversion systems is that its efficiency is higher compared to other variable speed WT configurations, its full scale converter allows full controllability, gearbox can be omitted by using higher number of poles of PMSG. This paper proposes the complete modeling and simulation, and analysis of a PMSG based WECS in terms of its power quality, range of wind speed that it can handle and the power balance when the machine is operating under varying wind velocity conditions. Vector control strategy is employed for both the converters connected, in cascade, between generator and the power grid. The WECS is analyzed under both partial and full-load regime. Generator control is applied for power optimization when wind speed is less than rated speed and pitch control is applied for speeds higher than rated speed but below cut-out speed.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126698802","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7019050
S. Singh, Pinky Saxena
The objective of this study is to derive the optimal retailer's replenishment policy for imperfect quality items in fuzzy environment. The effect of permissible delay in payments is also considered. It is assumed that production rate depends on the demand rate. Due to different preservation facilities, we consider that the deterioration rate is time dependent in own warehouse (O.W) and Wei-bull distribution in rented warehouse (R.W). The ordering cost, purchasing cost, holding cost and selling price are taken as fuzzy numbers.
{"title":"Fuzzy warehouse inventory model for items with imperfect quality under trade credit policy and inflationary conditions","authors":"S. Singh, Pinky Saxena","doi":"10.1109/CIPECH.2014.7019050","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019050","url":null,"abstract":"The objective of this study is to derive the optimal retailer's replenishment policy for imperfect quality items in fuzzy environment. The effect of permissible delay in payments is also considered. It is assumed that production rate depends on the demand rate. Due to different preservation facilities, we consider that the deterioration rate is time dependent in own warehouse (O.W) and Wei-bull distribution in rented warehouse (R.W). The ordering cost, purchasing cost, holding cost and selling price are taken as fuzzy numbers.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133537019","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7019096
Harleen Kaur, Puneet Kumar, A. Sharma, Nikhil Kamaiya
The analysis and the formation of the electric energy industry implements by forming a platform for the three components covering the generation, transmission, and distribution. Once the electric power is formed, it is further passed through the transmission lines having high voltage and large capacity to the regions in which the electricity will be consumed. Then it is converted to a voltage that is low and is passed to the users. The energy/electricity restructured process has been performed in different parts economically to generate units that are small along with the separation of the utilities thereby increasing the market structure. But a number of defining factors makes electricity a difficult task to be dealt causing unstable conditions thereby leading to raise the cost of the electricity. A shortfall or surplus of electricity means not only few of the end users are not able to have the deficit/excess power, rather it focuses on the fact which endangers the whole power grid thereby causing it to be on the verge of instability further leading to extinction in the market structure. The bulk power market structure, which includes the exchange between utilities, sales to large commercial and contract based sales to distributors and industrial customers, is now characterized by-Sharp Price Competition. The objective of this paper is to evaluate the scope of the generation to be distributed based on Competitive Wholesale Market and study the impact of it on the deregulated power market [1].
{"title":"Power system restructuring & competitive wholesale electricity markets in deregulated environment","authors":"Harleen Kaur, Puneet Kumar, A. Sharma, Nikhil Kamaiya","doi":"10.1109/CIPECH.2014.7019096","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019096","url":null,"abstract":"The analysis and the formation of the electric energy industry implements by forming a platform for the three components covering the generation, transmission, and distribution. Once the electric power is formed, it is further passed through the transmission lines having high voltage and large capacity to the regions in which the electricity will be consumed. Then it is converted to a voltage that is low and is passed to the users. The energy/electricity restructured process has been performed in different parts economically to generate units that are small along with the separation of the utilities thereby increasing the market structure. But a number of defining factors makes electricity a difficult task to be dealt causing unstable conditions thereby leading to raise the cost of the electricity. A shortfall or surplus of electricity means not only few of the end users are not able to have the deficit/excess power, rather it focuses on the fact which endangers the whole power grid thereby causing it to be on the verge of instability further leading to extinction in the market structure. The bulk power market structure, which includes the exchange between utilities, sales to large commercial and contract based sales to distributors and industrial customers, is now characterized by-Sharp Price Competition. The objective of this paper is to evaluate the scope of the generation to be distributed based on Competitive Wholesale Market and study the impact of it on the deregulated power market [1].","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133407335","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 : 2014-11-01DOI: 10.1109/CIPECH.2014.7019123
Swati Singla, Jyoti Srivastava, D. Blandina
Fractional KW electrical machines used in domestic and industrial applications are mostly asymmetrical two phase induction motor supplied by single phase supply. Though many techniques are available for control of three phase induction machine for extracting its best performance, but no such generalized technique is available for controlling Single Phase Induction Motor (SPIM). In this paper, a SPIM is studied, where a dynamic capacitor is used for obtaining maximum torque operation. The SPIM makes use of indirect current control of Voltage Source Inverter (VSI) with a capacitor on its DC bus, so that it can work as a variable capacitor. Then a maximum torque operation is obtained, by connecting this dynamic capacitor in series with the auxiliary winding, and is controlled in such a way to keep the main and auxiliary winding currents in phase quadrature to each other. And along with dynamic capacitor a dynamic model is developed in stator reference frame (d-q). For proposed configuration, performance of the SPIM is studied using MATLAB, to demonstrate the effectiveness of the dynamic capacitor.
{"title":"Obtaining maximum torque operation of single phase induction motor using simulation technique of MATLAB","authors":"Swati Singla, Jyoti Srivastava, D. Blandina","doi":"10.1109/CIPECH.2014.7019123","DOIUrl":"https://doi.org/10.1109/CIPECH.2014.7019123","url":null,"abstract":"Fractional KW electrical machines used in domestic and industrial applications are mostly asymmetrical two phase induction motor supplied by single phase supply. Though many techniques are available for control of three phase induction machine for extracting its best performance, but no such generalized technique is available for controlling Single Phase Induction Motor (SPIM). In this paper, a SPIM is studied, where a dynamic capacitor is used for obtaining maximum torque operation. The SPIM makes use of indirect current control of Voltage Source Inverter (VSI) with a capacitor on its DC bus, so that it can work as a variable capacitor. Then a maximum torque operation is obtained, by connecting this dynamic capacitor in series with the auxiliary winding, and is controlled in such a way to keep the main and auxiliary winding currents in phase quadrature to each other. And along with dynamic capacitor a dynamic model is developed in stator reference frame (d-q). For proposed configuration, performance of the SPIM is studied using MATLAB, to demonstrate the effectiveness of the dynamic capacitor.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115555219","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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