Pub Date : 2015-11-01DOI: 10.1109/NUICONE.2015.7449629
Bhavin J. Shah, G. Pillai, P. Agarwal
This paper presents robust controller design for damping of inter-area mode oscillations in three machines WECC test system by Static Var Compensator (SVC) using global signal. The stabilizing signal is obtained from phasor measurement units (PMUs) located in all areas of test power system. Residue analysis is carried out to decide the best control signals for damping of critical mode. H∞ loop shaping technique is used to design the damping controller. Various load models representing the different composition of loads are considered for checking the robustness of the designed controller. Robustness of the designed controller is assessed in frequency domain and via non linear time domain simulations for various contingent conditions. The performance of the designed controller is found satisfactory in damping critical mode oscillation under various critical operating conditions.
{"title":"H∞ loop shaping technique based robust control design of SVC controller for power oscillations damping considering global signal","authors":"Bhavin J. Shah, G. Pillai, P. Agarwal","doi":"10.1109/NUICONE.2015.7449629","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449629","url":null,"abstract":"This paper presents robust controller design for damping of inter-area mode oscillations in three machines WECC test system by Static Var Compensator (SVC) using global signal. The stabilizing signal is obtained from phasor measurement units (PMUs) located in all areas of test power system. Residue analysis is carried out to decide the best control signals for damping of critical mode. H∞ loop shaping technique is used to design the damping controller. Various load models representing the different composition of loads are considered for checking the robustness of the designed controller. Robustness of the designed controller is assessed in frequency domain and via non linear time domain simulations for various contingent conditions. The performance of the designed controller is found satisfactory in damping critical mode oscillation under various critical operating conditions.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130435015","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449619
N. Patel, Govind V. Patel
Data centers offer many services hosted on dedicated physical servers, which are often under-utilized in terms of resources used. Virtual machine placement goal maximizing the usage of available resources and saving of power being shut down some unused physical machines. After studying different Virtual Machine placement techniques in the data center, there is wastage of resources in Multi-dimensionality of the physical machine and in maximum resource allocation, which results from the imbalanced use of the multi-dimensional resource. To overcome the utilization problem, we have proposed Cartesian Coordinate System Based placement. The proposed algorithm is compared with the Novel vector based VM placement algorithm and analyze the experimental result.
{"title":"VM placement of multidimensional resources using cartesian coordinates based approach","authors":"N. Patel, Govind V. Patel","doi":"10.1109/NUICONE.2015.7449619","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449619","url":null,"abstract":"Data centers offer many services hosted on dedicated physical servers, which are often under-utilized in terms of resources used. Virtual machine placement goal maximizing the usage of available resources and saving of power being shut down some unused physical machines. After studying different Virtual Machine placement techniques in the data center, there is wastage of resources in Multi-dimensionality of the physical machine and in maximum resource allocation, which results from the imbalanced use of the multi-dimensional resource. To overcome the utilization problem, we have proposed Cartesian Coordinate System Based placement. The proposed algorithm is compared with the Novel vector based VM placement algorithm and analyze the experimental result.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131327166","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449630
Vedang Shah, H. Trivedi
Cloud computing is one of the most prominent technologies. The fundamental idea behind cloud computing is to distribute an array of computing services by unifying and scheduling a pool of computing resources, thereby minimizing the burden on the users and helping them focus on their core businesses. These computing resources are hosted on virtual hosts and distributed on-demand to the users by cloud service providers. For efficient resource utilization, systematic load balancing of incoming user traffic across virtual hosts is imperative. In the present work a Distributed Dynamic and Customized Load Balancing (ddclb) algorithm is proposed to dynamically handle the incoming user requests for the Amazon EC2 instances. It is also used to dynamically scale the EC2 instances up or down depending on load of incoming user requests on the instances and the CPU utilization of the instances. Along with it a distributed load balancer architecture is proposed to support and implement the proposed algorithm. The proposed algorithm takes into consideration certain CPU utilization metrics of the running EC2 instances for load balancing, serving the incoming requests and scaling the instances up or down.
{"title":"A distributed dynamic and customized load balancing algorithm for virtual instances","authors":"Vedang Shah, H. Trivedi","doi":"10.1109/NUICONE.2015.7449630","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449630","url":null,"abstract":"Cloud computing is one of the most prominent technologies. The fundamental idea behind cloud computing is to distribute an array of computing services by unifying and scheduling a pool of computing resources, thereby minimizing the burden on the users and helping them focus on their core businesses. These computing resources are hosted on virtual hosts and distributed on-demand to the users by cloud service providers. For efficient resource utilization, systematic load balancing of incoming user traffic across virtual hosts is imperative. In the present work a Distributed Dynamic and Customized Load Balancing (ddclb) algorithm is proposed to dynamically handle the incoming user requests for the Amazon EC2 instances. It is also used to dynamically scale the EC2 instances up or down depending on load of incoming user requests on the instances and the CPU utilization of the instances. Along with it a distributed load balancer architecture is proposed to support and implement the proposed algorithm. The proposed algorithm takes into consideration certain CPU utilization metrics of the running EC2 instances for load balancing, serving the incoming requests and scaling the instances up or down.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771317","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449611
S. Pande, Amar A. Yelane
Now a days Robotics is a part & parcel of any professional life & library management is not an exception to it. Technology always plays an important role in the development of human civilization. We have put forward an idea of E-robot for operating library management smoothly. The task of librarian should be very meticulous. It is practically impossible for him to do all the entries of books, issuances and classification. Our libo rot will be helpful in library management. Our E-robot is an automated system which operates through voice, mobile & manual keypad. This investigation has focused on the performance of library automation as real time application.
{"title":"RFID based library-efficiency personified","authors":"S. Pande, Amar A. Yelane","doi":"10.1109/NUICONE.2015.7449611","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449611","url":null,"abstract":"Now a days Robotics is a part & parcel of any professional life & library management is not an exception to it. Technology always plays an important role in the development of human civilization. We have put forward an idea of E-robot for operating library management smoothly. The task of librarian should be very meticulous. It is practically impossible for him to do all the entries of books, issuances and classification. Our libo rot will be helpful in library management. Our E-robot is an automated system which operates through voice, mobile & manual keypad. This investigation has focused on the performance of library automation as real time application.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121659518","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449624
Jignesh J. Patoliya, H. Mehta, Hitesh Patel
The main objective behind developing this robot is for the surveillance of human activities in the war field or border regions in order to reduce infiltrations from the enemy side. The robot consists of night vision wireless camera which can transmit videos of the war field in order to prevent any damage and loss to human life. Military people have a huge risk on their lives while entering an unknown territory. The robot will serve as an appropriate machine for the defense sector to reduce the loss of human life and will also prevent illegal activities. It will help all the military people and armed forces to know the condition of the territory before entering it.
{"title":"Arduino controlled war field spy robot using night vision wireless camera and Android application","authors":"Jignesh J. Patoliya, H. Mehta, Hitesh Patel","doi":"10.1109/NUICONE.2015.7449624","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449624","url":null,"abstract":"The main objective behind developing this robot is for the surveillance of human activities in the war field or border regions in order to reduce infiltrations from the enemy side. The robot consists of night vision wireless camera which can transmit videos of the war field in order to prevent any damage and loss to human life. Military people have a huge risk on their lives while entering an unknown territory. The robot will serve as an appropriate machine for the defense sector to reduce the loss of human life and will also prevent illegal activities. It will help all the military people and armed forces to know the condition of the territory before entering it.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121543643","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449590
G. Goyal, H. Mehta
This paper deals with application of swarm intelligence based algorithms to solve optimal active power dispatch problem in an efficient manner. In this paper well established artificial intelligent algorithms viz cuckoo search (CS) method; Particle swarm optimization (PSO) and Modified PSO are used to solve a multi-objective optimal power flow (OPF) problem. Some modifications in PSO are carried to enhance its efficiency and search ability. Here combined composite function of fuel cost and emission minimization has been considered. These two objectives are combined into single function of cost with the help of price factor and weight ratios. All three methods are implemented on IEEE 30-bus 6-Generator system and simulation results are compared. The composite results demonstrate the potential of Modified PSO and Cuckoo search method to solve the combined problem of economic dispatch with emission control.
{"title":"Multi-objective optimal active power dispatch using swarm optimization techniques","authors":"G. Goyal, H. Mehta","doi":"10.1109/NUICONE.2015.7449590","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449590","url":null,"abstract":"This paper deals with application of swarm intelligence based algorithms to solve optimal active power dispatch problem in an efficient manner. In this paper well established artificial intelligent algorithms viz cuckoo search (CS) method; Particle swarm optimization (PSO) and Modified PSO are used to solve a multi-objective optimal power flow (OPF) problem. Some modifications in PSO are carried to enhance its efficiency and search ability. Here combined composite function of fuel cost and emission minimization has been considered. These two objectives are combined into single function of cost with the help of price factor and weight ratios. All three methods are implemented on IEEE 30-bus 6-Generator system and simulation results are compared. The composite results demonstrate the potential of Modified PSO and Cuckoo search method to solve the combined problem of economic dispatch with emission control.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124014085","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449644
H. Trivedi, Monika Shah, Pooja Shah
Oceanography comprises of parameters like wave-height, ocean-pressure, ocean-density, ocean-winds, ocean-depth, surface tension, sea-surface topography, etc. Predictions of upcoming changes are made using these parameters as inputs. Real-time sensors are deployed under the ocean to fetch real time measurements of parameters. Our research describes the work with respect to ocean wave-height parameter to predict a wave displacement. Waves in oceans are continuously moving and thus measuring the accurate movements of waves is complex. Waves get dispersed in the ocean, but their vibrations remain in the ocean. Numerous techniques are available for developing prediction systems, with their own strengths and weaknesses. The paper demonstrates the concepts and experimentation of prediction system developed using string equation to find wave displacement. It focuses on one dimension that is time, hence it is judged as one-dimensional wave displacement prediction system to measure the time taken by a wave to get settled on its surface.
{"title":"One dimensional ocean waves displacement prediction system expanding mathematical string equation","authors":"H. Trivedi, Monika Shah, Pooja Shah","doi":"10.1109/NUICONE.2015.7449644","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449644","url":null,"abstract":"Oceanography comprises of parameters like wave-height, ocean-pressure, ocean-density, ocean-winds, ocean-depth, surface tension, sea-surface topography, etc. Predictions of upcoming changes are made using these parameters as inputs. Real-time sensors are deployed under the ocean to fetch real time measurements of parameters. Our research describes the work with respect to ocean wave-height parameter to predict a wave displacement. Waves in oceans are continuously moving and thus measuring the accurate movements of waves is complex. Waves get dispersed in the ocean, but their vibrations remain in the ocean. Numerous techniques are available for developing prediction systems, with their own strengths and weaknesses. The paper demonstrates the concepts and experimentation of prediction system developed using string equation to find wave displacement. It focuses on one dimension that is time, hence it is judged as one-dimensional wave displacement prediction system to measure the time taken by a wave to get settled on its surface.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131077886","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449646
K. Vyas, Pooja Shah, Usha Patel, T. Zaveri, Raj Kumar
Biogenic and Mineral oil spill in the ocean can harm the marine ecosystem significantly. Past research suggests image processing on images generated from Synthetic Aperture Radar (SAR) data are the most suitable way of remote oil spill detection. In this paper, the framework for oil spill detection is explained in three step process for oil spill detection viz., dark spot detection, feature extraction, and classification. The paper focuses on Hysteresis algorithm for segmenting the dark spots and decision tree for the classification of dark spots and look alikes. The major steps in oil spill detection have been implemented in imageJ which gives a light weight solution to existing softwares for the said application.
{"title":"Oil spill detection from SAR image data for remote monitoring of marine pollution using light weight imageJ implementation","authors":"K. Vyas, Pooja Shah, Usha Patel, T. Zaveri, Raj Kumar","doi":"10.1109/NUICONE.2015.7449646","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449646","url":null,"abstract":"Biogenic and Mineral oil spill in the ocean can harm the marine ecosystem significantly. Past research suggests image processing on images generated from Synthetic Aperture Radar (SAR) data are the most suitable way of remote oil spill detection. In this paper, the framework for oil spill detection is explained in three step process for oil spill detection viz., dark spot detection, feature extraction, and classification. The paper focuses on Hysteresis algorithm for segmenting the dark spots and decision tree for the classification of dark spots and look alikes. The major steps in oil spill detection have been implemented in imageJ which gives a light weight solution to existing softwares for the said application.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126544491","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449618
J. Patel, Dishang D. Trivedi, D. Desai, S. C. Vora, Vaibhav Patel
Accurate results of load flow become imperative for monitoring and control of emerging power system. Measurements used for load flow and state estimation are important for economical operation, optimal power flow, contingency analysis and security of a system. Measurements may be imperfect or erroneous due to problems in the communication channel, measuring instruments, A/D converters etc. Erroneous measurements can lead to divergence of load flow and/or erroneous load flow results. Hence, authors propose state estimation as an alternative to load flow in case of erroneous measurement data. In the paper presented, effect of bad measurement data on load flow has been verified on single machine two bus system and WSCC 3-generator 9-bus multi-machine system for stable and transient conditions. Using chi-square bad data detection algorithm, detected bad data are removed and states are estimated with remaining measurements. After removal of bad measurement data, use of accurate estimation of states is proposed instead of load flow results.
{"title":"Analyzing effect of bad measurement data on load flow and state estimation in power system","authors":"J. Patel, Dishang D. Trivedi, D. Desai, S. C. Vora, Vaibhav Patel","doi":"10.1109/NUICONE.2015.7449618","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449618","url":null,"abstract":"Accurate results of load flow become imperative for monitoring and control of emerging power system. Measurements used for load flow and state estimation are important for economical operation, optimal power flow, contingency analysis and security of a system. Measurements may be imperfect or erroneous due to problems in the communication channel, measuring instruments, A/D converters etc. Erroneous measurements can lead to divergence of load flow and/or erroneous load flow results. Hence, authors propose state estimation as an alternative to load flow in case of erroneous measurement data. In the paper presented, effect of bad measurement data on load flow has been verified on single machine two bus system and WSCC 3-generator 9-bus multi-machine system for stable and transient conditions. Using chi-square bad data detection algorithm, detected bad data are removed and states are estimated with remaining measurements. After removal of bad measurement data, use of accurate estimation of states is proposed instead of load flow results.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131730957","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 : 2015-11-01DOI: 10.1109/NUICONE.2015.7449650
Amit Degada, Vijay Savani
In India, Primary Health Centre (PHC) were established to provide accessible, affordable and available first line health services. There are 23,109 PHCs in India and Under the National Rural Health Mission (NHRM) the Government is upgrading all the PHCs. Due to shortage of human resources, PHC system largely depends on "referral system", which in turn relies heavily on communication and transportation infrastructure. Communication and transportation put an upper limit on health care delivery to patient and some time it may cause casualties in remote areas. Development of Low cost Biomedical Sensors, Low cost Portable Embedded System, Internet and Smart phone based Telemedicine System may offer the opportunity to alleviate the health care system efficiency by number of application viz. data collection, chronic patient surveillance, to control the therapeutic procedure etc. This paper presents the work of design and implementation of low cost telemedicine system, which integrates the sensing, storage and broadcasting of various biomedical parameters of patient using low cost low weight and accurate biomedical sensors, BeagleBone Black as a computing unit and various softwares viz. Linux, Apace Server, MySQL and PHP. Implemented system is compared with various existing available biomedical sensors.
{"title":"Design and implementation of low cost, portable telemedicine system: An embedded technology and ICT approach","authors":"Amit Degada, Vijay Savani","doi":"10.1109/NUICONE.2015.7449650","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449650","url":null,"abstract":"In India, Primary Health Centre (PHC) were established to provide accessible, affordable and available first line health services. There are 23,109 PHCs in India and Under the National Rural Health Mission (NHRM) the Government is upgrading all the PHCs. Due to shortage of human resources, PHC system largely depends on \"referral system\", which in turn relies heavily on communication and transportation infrastructure. Communication and transportation put an upper limit on health care delivery to patient and some time it may cause casualties in remote areas. Development of Low cost Biomedical Sensors, Low cost Portable Embedded System, Internet and Smart phone based Telemedicine System may offer the opportunity to alleviate the health care system efficiency by number of application viz. data collection, chronic patient surveillance, to control the therapeutic procedure etc. This paper presents the work of design and implementation of low cost telemedicine system, which integrates the sensing, storage and broadcasting of various biomedical parameters of patient using low cost low weight and accurate biomedical sensors, BeagleBone Black as a computing unit and various softwares viz. Linux, Apace Server, MySQL and PHP. Implemented system is compared with various existing available biomedical sensors.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134066000","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：