Pub Date : 2015-05-21DOI: 10.1109/EIT.2015.7293366
Ranganath Vallakati, Anupam Mukherjee, P. Ranganathan
Synchrophasors are the state-of-the-art measuring sensors that sense voltage, current, or frequency with high data rate. This paper presents an approach to analyze the streaming smart-grid data generated by synchrophasors. A novel unit-circle representation is used to visualize the real-time phasor data. A Density based clustering (DBSCAN) method is proposed to cluster the phasor data to detect bad-data for classification, and identifying various fault anomalies. The paper uses datasets from an IEEE 14 bus system test-bed to aid system operators in carrying various predictive analytics and decisions.
{"title":"A density based clustering scheme for situational awareness in a smart-grid","authors":"Ranganath Vallakati, Anupam Mukherjee, P. Ranganathan","doi":"10.1109/EIT.2015.7293366","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293366","url":null,"abstract":"Synchrophasors are the state-of-the-art measuring sensors that sense voltage, current, or frequency with high data rate. This paper presents an approach to analyze the streaming smart-grid data generated by synchrophasors. A novel unit-circle representation is used to visualize the real-time phasor data. A Density based clustering (DBSCAN) method is proposed to cluster the phasor data to detect bad-data for classification, and identifying various fault anomalies. The paper uses datasets from an IEEE 14 bus system test-bed to aid system operators in carrying various predictive analytics and decisions.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127357742","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293423
R.K. Ege
Immersion into rich multimedia is now the norm in today's Internet. Combining multiple streams of textual, audio and media data from a variety of sensors and sources, allow the presentation of a world that is almost “real”. Users equipped with portable and wearable devices can become consumers and contributors to an augmented reality. In this paper we describe a general software architecture for an augmented reality immersion network based on crowd sourced media gathering and distribution. We describe a prototypical implementation with cloud and mobile components to establish a secure sharing network, to coordinate and to synchronize the media streams. Joining the content sharing network is subject to peer-to-peer trust management to protect the content and the participants.
{"title":"Peer to peer media management for augmented reality","authors":"R.K. Ege","doi":"10.1109/EIT.2015.7293423","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293423","url":null,"abstract":"Immersion into rich multimedia is now the norm in today's Internet. Combining multiple streams of textual, audio and media data from a variety of sensors and sources, allow the presentation of a world that is almost “real”. Users equipped with portable and wearable devices can become consumers and contributors to an augmented reality. In this paper we describe a general software architecture for an augmented reality immersion network based on crowd sourced media gathering and distribution. We describe a prototypical implementation with cloud and mobile components to establish a secure sharing network, to coordinate and to synchronize the media streams. Joining the content sharing network is subject to peer-to-peer trust management to protect the content and the participants.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123220306","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293334
Mohammed Falih Hassan, I. Abdel-Qader
One of the key factors in designing a successful multiple classifier system (MCS) is choosing an appropriate combining rule. Many theoretical and experimental efforts have been focused on estimating the probability of classification error for different combining rules. In this work, assuming N classifiers and two independent and identically distributed classes, we investigate using product and modified product rules and derive formulas to estimate their classification error probability under two class distributions, Gaussian and uniform. We also validate our derivations with computer simulations. The performance results of product, modified product, average, and majority vote rules are compared. The comparisons are done in term of probability of classification error as a function of class variance and number of classifiers. The results show that the modified product rule outperforms others while the product rule ranks last.
{"title":"Analysis of multiple classifier system using product and modified product rules","authors":"Mohammed Falih Hassan, I. Abdel-Qader","doi":"10.1109/EIT.2015.7293334","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293334","url":null,"abstract":"One of the key factors in designing a successful multiple classifier system (MCS) is choosing an appropriate combining rule. Many theoretical and experimental efforts have been focused on estimating the probability of classification error for different combining rules. In this work, assuming N classifiers and two independent and identically distributed classes, we investigate using product and modified product rules and derive formulas to estimate their classification error probability under two class distributions, Gaussian and uniform. We also validate our derivations with computer simulations. The performance results of product, modified product, average, and majority vote rules are compared. The comparisons are done in term of probability of classification error as a function of class variance and number of classifiers. The results show that the modified product rule outperforms others while the product rule ranks last.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123232620","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293434
E. Hohenberger, V. Korampally, I. Abdel-Motaleb
Development of surface plasmon resonance enhancing surfaces can lead to improvements in fluorescence-based chemical and biological sensing schemes. The motivation of this research is to have a method for easily fabricating plasmonic surface features on silver films which can be controlled by altering the physical properties of sub-layers under the silver film. Here, we report on preliminary work towards fabrication and control of such films through the use of soft lithographic micro-contact printing techniques for the formation of diffraction patterns, and the use of high surface area, low surface energy nanoporous films to drive the formation of nano-scopic gaps within the silver film. Florescence microscopy imaging of fabricated surfaces shows promising results, though further research will be needed to fine tune the surface to produce strong fluorescence emission.
{"title":"Nano-gap enhanced surface plasmon resonant gratings for fluorescence sensing applications","authors":"E. Hohenberger, V. Korampally, I. Abdel-Motaleb","doi":"10.1109/EIT.2015.7293434","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293434","url":null,"abstract":"Development of surface plasmon resonance enhancing surfaces can lead to improvements in fluorescence-based chemical and biological sensing schemes. The motivation of this research is to have a method for easily fabricating plasmonic surface features on silver films which can be controlled by altering the physical properties of sub-layers under the silver film. Here, we report on preliminary work towards fabrication and control of such films through the use of soft lithographic micro-contact printing techniques for the formation of diffraction patterns, and the use of high surface area, low surface energy nanoporous films to drive the formation of nano-scopic gaps within the silver film. Florescence microscopy imaging of fabricated surfaces shows promising results, though further research will be needed to fine tune the surface to produce strong fluorescence emission.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126084333","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293424
S. Aslanzadeh, Z. Chaczko
Load balancing optimization is categorized as NP-hard problem, playing an important role in enhancing the cloud utilization. Different methods have been proposed for achieving the system load balancing in cloud environment. VM migration is one of these techniques, proposed to improve the VMs' functionality. Despite of the advantageous of VM migration, there are still some drawbacks which urged researchers to improve VM migration methods. In this paper we propose a new load balancing technique, using Endocrine algorithm which is inspired from regulation behavior of human's hormone system. Our proposed algorithm achieves system load balancing by applying self-organizing method between overloaded VMs. This technique is structured based on communications between VMs. It helps the overloaded VMs to transfer their extra tasks to another under-loaded VM by applying the enhanced feed backing approach using Particle Swarm Optimization (PSO). To evaluate our proposed algorithm, we expanded the cloud simulation tool (Cloudsim) which is developed by University of Melbourne. The simulation result proves that our proposed load balancing approach significantly decreases the timespan compared to traditional load balancing techniques. Moreover it increases the Quality Of Service (QOS) as it minimizes the VMs' downtime.
{"title":"Load balancing optimization in cloud computing: Applying Endocrine-particale swarm optimization","authors":"S. Aslanzadeh, Z. Chaczko","doi":"10.1109/EIT.2015.7293424","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293424","url":null,"abstract":"Load balancing optimization is categorized as NP-hard problem, playing an important role in enhancing the cloud utilization. Different methods have been proposed for achieving the system load balancing in cloud environment. VM migration is one of these techniques, proposed to improve the VMs' functionality. Despite of the advantageous of VM migration, there are still some drawbacks which urged researchers to improve VM migration methods. In this paper we propose a new load balancing technique, using Endocrine algorithm which is inspired from regulation behavior of human's hormone system. Our proposed algorithm achieves system load balancing by applying self-organizing method between overloaded VMs. This technique is structured based on communications between VMs. It helps the overloaded VMs to transfer their extra tasks to another under-loaded VM by applying the enhanced feed backing approach using Particle Swarm Optimization (PSO). To evaluate our proposed algorithm, we expanded the cloud simulation tool (Cloudsim) which is developed by University of Melbourne. The simulation result proves that our proposed load balancing approach significantly decreases the timespan compared to traditional load balancing techniques. Moreover it increases the Quality Of Service (QOS) as it minimizes the VMs' downtime.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131290182","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293418
Arun Begill, Sankalap Arora
The image fusion methods have discussed easy and systematic digital image fusion method which is clearly designed for visual sensor networks prepare with resource constrained, battery power image sensors signed in CCD device, dangerous environment like battlefields etc. Here the fusion of multi-modal images compute in Discrete Cosine Transform is based on maximum value alternating current (AC) coefficients. The method controls the calculations and energy limitation of low power devices and explore on the basis of image quality and calculation energy. The overall objective of this paper is to design and implement the various image fusion techniques to find the best technique among the available well-known techniques. This paper ends up with the suitable future directions in order to enhance the AC-DCT fusion method further.
{"title":"Evaluating the short comings of the various digital image fusion algorithms","authors":"Arun Begill, Sankalap Arora","doi":"10.1109/EIT.2015.7293418","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293418","url":null,"abstract":"The image fusion methods have discussed easy and systematic digital image fusion method which is clearly designed for visual sensor networks prepare with resource constrained, battery power image sensors signed in CCD device, dangerous environment like battlefields etc. Here the fusion of multi-modal images compute in Discrete Cosine Transform is based on maximum value alternating current (AC) coefficients. The method controls the calculations and energy limitation of low power devices and explore on the basis of image quality and calculation energy. The overall objective of this paper is to design and implement the various image fusion techniques to find the best technique among the available well-known techniques. This paper ends up with the suitable future directions in order to enhance the AC-DCT fusion method further.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133577501","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 : 2015-05-21DOI: 10.4018/IJHCR.2016010102
S. Lee, G. Tewolde, Jongil Lim, Jaerock Kwon
This paper presents an efficient approach for a vision based localization of multiple mobile robots in an indoor environment by using a low cost vision sensor. The proposed vision sensor system that uses a single camera mounted over the mobile robots field takes advantages of small size, low energy consumption, and high flexibility to play an important role in the field of robotics. The nRF24L01 RF transceiver is connected to the vision system to enable wireless communication with multiple devices through 6 different data pipes. The downward-facing camera provides excellent performance that has the ability to identify a number of objects based on color codes, which form colored landmarks that provide mobile robots with useful image information for localization in the image view, which is then transformed to real world coordinates. Experimental results are given to show that the proposed method can obtain good localization performance in multi-mobile robots setting.
{"title":"Vision based localization for multiple mobile robots using low-cost vision sensor","authors":"S. Lee, G. Tewolde, Jongil Lim, Jaerock Kwon","doi":"10.4018/IJHCR.2016010102","DOIUrl":"https://doi.org/10.4018/IJHCR.2016010102","url":null,"abstract":"This paper presents an efficient approach for a vision based localization of multiple mobile robots in an indoor environment by using a low cost vision sensor. The proposed vision sensor system that uses a single camera mounted over the mobile robots field takes advantages of small size, low energy consumption, and high flexibility to play an important role in the field of robotics. The nRF24L01 RF transceiver is connected to the vision system to enable wireless communication with multiple devices through 6 different data pipes. The downward-facing camera provides excellent performance that has the ability to identify a number of objects based on color codes, which form colored landmarks that provide mobile robots with useful image information for localization in the image view, which is then transformed to real world coordinates. Experimental results are given to show that the proposed method can obtain good localization performance in multi-mobile robots setting.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127568276","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293387
K. Virupakshappa, Yan Han, E. Oruklu
Driver Assistance Systems such as traffic sign detection and autonomous car research are largely facilitated with the recent advances on computer vision and pattern recognition. In this work, Bag of visual Words technique has been implemented on Speeded Up Robust Feature (SURF) descriptors of the traffic signs and later the sturdy classifier Support Vector Machine (SVM) is used to categorize the traffic signs to its respective groups. Experimental results demonstrate that the proposed method of implementation can reach an accuracy of 95.2%.
{"title":"Traffic sign recognition based on prevailing bag of visual words representation on feature descriptors","authors":"K. Virupakshappa, Yan Han, E. Oruklu","doi":"10.1109/EIT.2015.7293387","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293387","url":null,"abstract":"Driver Assistance Systems such as traffic sign detection and autonomous car research are largely facilitated with the recent advances on computer vision and pattern recognition. In this work, Bag of visual Words technique has been implemented on Speeded Up Robust Feature (SURF) descriptors of the traffic signs and later the sturdy classifier Support Vector Machine (SVM) is used to categorize the traffic signs to its respective groups. Experimental results demonstrate that the proposed method of implementation can reach an accuracy of 95.2%.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133957422","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293382
M. Argin, S. Kucuksari
With the growing number of Distributed Generators (DGs) in power systems, demand to utilize Photovoltaic (PV) systems has also shown increase. PV systems are equipped with PV inverters in order to convert DC power to AC power. PV inverters are great sources to improve voltage profile in the utility grid using their reactive power injection feature. On the other hand, the current standards do not allow inverters to inject reactive power, which would be the case in the future and it needs to be investigated. This paper analyzes voltage profiles of IEEE 13 nodes distribution network when PV inverters provide reactive power. Power flow analyses are conducted for various combinations of PV grid interconnections; for fixed PV generation and load profiles and fluctuating PV generation and load profiles. PowerWorld simulations reveal the effect of reactive power injections to the grid as a case study for the distribution network. Results show that reactive power injection improves the voltage profile of the IEEE 13 node system but the size of PV systems should be kept within certain limits to prevent overvoltages in the network.
{"title":"PV reactive power injection effect on voltage profile","authors":"M. Argin, S. Kucuksari","doi":"10.1109/EIT.2015.7293382","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293382","url":null,"abstract":"With the growing number of Distributed Generators (DGs) in power systems, demand to utilize Photovoltaic (PV) systems has also shown increase. PV systems are equipped with PV inverters in order to convert DC power to AC power. PV inverters are great sources to improve voltage profile in the utility grid using their reactive power injection feature. On the other hand, the current standards do not allow inverters to inject reactive power, which would be the case in the future and it needs to be investigated. This paper analyzes voltage profiles of IEEE 13 nodes distribution network when PV inverters provide reactive power. Power flow analyses are conducted for various combinations of PV grid interconnections; for fixed PV generation and load profiles and fluctuating PV generation and load profiles. PowerWorld simulations reveal the effect of reactive power injections to the grid as a case study for the distribution network. Results show that reactive power injection improves the voltage profile of the IEEE 13 node system but the size of PV systems should be kept within certain limits to prevent overvoltages in the network.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131841097","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293390
P. Roy, D. Dawn
This paper presents CMOS VCO circuit, as a part of Automatic Dependent Surveillance-Broadcast (ADS-B) transmitter, operating at 978 MHz, delivers highest output power with highest efficiency ever reported to the best of authors' knowledge. The 0.738 mm × 0.606 mm VCO chip fabricated using 0.18 um CMOS technology, exhibits the differential peak output power of 2.54 dBm at 1 GHz, with the frequency tuning range from 954.3 MHz to 1009.4 MHz and phase noise of -109 dBc/Hz @ 1 MHz offset centered at 978 MHz, consuming 35 mW power from 1.8V supply, thus, showing state-of-the-art-performances.
本文介绍了作为广播自动相关监视(ADS-B)发射机的一部分，工作频率为978 MHz的CMOS压控振荡器电路，其输出功率和效率是作者所知的最高的。采用0.18 um CMOS技术制备的0.738 mm × 0.606 mm VCO芯片，在1 GHz时差分峰值输出功率为2.54 dBm，频率调谐范围为954.3 MHz ~ 1009.4 MHz，相位噪声为-109 dBc/Hz，偏移量为978 MHz，从1.8V电源消耗35 mW功率，具有最先进的性能。
{"title":"A high-power and high-efficiency CMOS VCO for Automatic Dependent Surveillance-Broadcast (ADS-B) system","authors":"P. Roy, D. Dawn","doi":"10.1109/EIT.2015.7293390","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293390","url":null,"abstract":"This paper presents CMOS VCO circuit, as a part of Automatic Dependent Surveillance-Broadcast (ADS-B) transmitter, operating at 978 MHz, delivers highest output power with highest efficiency ever reported to the best of authors' knowledge. The 0.738 mm × 0.606 mm VCO chip fabricated using 0.18 um CMOS technology, exhibits the differential peak output power of 2.54 dBm at 1 GHz, with the frequency tuning range from 954.3 MHz to 1009.4 MHz and phase noise of -109 dBc/Hz @ 1 MHz offset centered at 978 MHz, consuming 35 mW power from 1.8V supply, thus, showing state-of-the-art-performances.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134544415","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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