Pub Date : 1900-01-01DOI: 10.1109/ISCO.2017.7856035
Pallavi Malji, S. Sakhare
Feature selection is an essential method in which we identify a subset of most useful ones from the original set of features. On comparing results with original set and identified subset, we observe that the results are compatible. The feature selection algorithm is evaluated based on the components of efficiency and effectiveness, where the time required and the optimality of the subset of the feature is considered. Based on this, we are modifying the fast clustering feature selection algorithm, to check the impact of entropy correlation coefficient on it in this paper. In the algorithm, the correlation between the features is calculated using entropy correlation coefficient instead of symmetric uncertainty and then they are divided into clusters using clustering methods based on the graph. Then, the representative features i.e. those who are strongly related to the target class are selected from them. For ensuring the algorithm's efficiency, we have adopted the Kruskal minimum spanning tree (MST) clustering method. We have compared our proposed algorithm with FAST clustering feature selection algorithm on well-known classifier namely the probability-based Naive Bayes Classifier before and after feature selection. The results, on two publicly available real-world high dimensional text data, demonstrate that our proposed algorithm produces smaller and optimal features subset and also improves classifiers performance. The processing time required for the algorithm is far less than that of the FAST clustering algorithm.
{"title":"Significance of entropy correlation coefficient over symmetric uncertainty on FAST clustering feature selection algorithm","authors":"Pallavi Malji, S. Sakhare","doi":"10.1109/ISCO.2017.7856035","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856035","url":null,"abstract":"Feature selection is an essential method in which we identify a subset of most useful ones from the original set of features. On comparing results with original set and identified subset, we observe that the results are compatible. The feature selection algorithm is evaluated based on the components of efficiency and effectiveness, where the time required and the optimality of the subset of the feature is considered. Based on this, we are modifying the fast clustering feature selection algorithm, to check the impact of entropy correlation coefficient on it in this paper. In the algorithm, the correlation between the features is calculated using entropy correlation coefficient instead of symmetric uncertainty and then they are divided into clusters using clustering methods based on the graph. Then, the representative features i.e. those who are strongly related to the target class are selected from them. For ensuring the algorithm's efficiency, we have adopted the Kruskal minimum spanning tree (MST) clustering method. We have compared our proposed algorithm with FAST clustering feature selection algorithm on well-known classifier namely the probability-based Naive Bayes Classifier before and after feature selection. The results, on two publicly available real-world high dimensional text data, demonstrate that our proposed algorithm produces smaller and optimal features subset and also improves classifiers performance. The processing time required for the algorithm is far less than that of the FAST clustering algorithm.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"os-1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127847650","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855970
Sayan Biswas
Neurons in central nervous system process information in networks formed by collection of neurons. Such networks perform computations in the brain resulting in decision making and other controlling signals to be generated by brain. Multi Electrode array dish is used for studying such network. Disassociated cultures are used to study the network topology and record the electrical activity occurring in the network of neurons. Electrical signal obtained from the various nodes of neural network are analysed to comment upon the diverseness in network information. Diversity index is used here. The quantification of diverseness is done in the units of bit.
{"title":"How diverse is the network information obtained from the nodes of a biological neural network?","authors":"Sayan Biswas","doi":"10.1109/ISCO.2017.7855970","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855970","url":null,"abstract":"Neurons in central nervous system process information in networks formed by collection of neurons. Such networks perform computations in the brain resulting in decision making and other controlling signals to be generated by brain. Multi Electrode array dish is used for studying such network. Disassociated cultures are used to study the network topology and record the electrical activity occurring in the network of neurons. Electrical signal obtained from the various nodes of neural network are analysed to comment upon the diverseness in network information. Diversity index is used here. The quantification of diverseness is done in the units of bit.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128695923","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856024
Divyavani Palle, Raghavendra Rao Kanchi
Measurement and control of pressure and temperature play an important role in different fields of Science and Technology. Also, it becomes essential to monitor the real-time weather condition of one place to another place. In this paper, we present the Cloud-Based monitoring and measurement of pressure and temperature using CC3200. CC3200 is the first SimpleLink Wi-Fi internet-on-chip LaunchPad developed by Texas instruments, the USA in 2014. The BMP085 sensor is used for measuring pressure and temperature. Measured parameters are sent to the Cloud servers of AT &TM2X Cloud technology (HTTPS). Pressure and temperature measurements made in real-time are shown graphically. The software is developed in Energia integrated development environment (IDE). The measured values are compared with the measurements recorded by the AEROSAL & ATMOSPHERIC Research Laboratory set up by ISRO, India, on the University campus.
{"title":"Cloud-Based monitoring and measurement of pressure and temperature using CC3200","authors":"Divyavani Palle, Raghavendra Rao Kanchi","doi":"10.1109/ISCO.2017.7856024","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856024","url":null,"abstract":"Measurement and control of pressure and temperature play an important role in different fields of Science and Technology. Also, it becomes essential to monitor the real-time weather condition of one place to another place. In this paper, we present the Cloud-Based monitoring and measurement of pressure and temperature using CC3200. CC3200 is the first SimpleLink Wi-Fi internet-on-chip LaunchPad developed by Texas instruments, the USA in 2014. The BMP085 sensor is used for measuring pressure and temperature. Measured parameters are sent to the Cloud servers of AT &TM2X Cloud technology (HTTPS). Pressure and temperature measurements made in real-time are shown graphically. The software is developed in Energia integrated development environment (IDE). The measured values are compared with the measurements recorded by the AEROSAL & ATMOSPHERIC Research Laboratory set up by ISRO, India, on the University campus.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115887965","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855982
Yang Min, Zhang Jiayue, Zhang Damin
It is a key that how to find the most important nodes and to immune them in network. The maximum numbers and degree centrality of nodes are funded by The DPSO (discrete particle swarm optimization) strategy, the network is cut as small as possible, and then the infected nodes are limited in sub network to prevent virus propagation. Whereas due to the loss information of expressing nodes nature of strength in weighted network, we combine the maximum numbers and semi-local centrality of nodes, to identify nodes and cut the network. We compare the efficiency of those methods in weighted network, simulation results show that the method can restrain virus propagation effectively.
{"title":"Immunization strategy based on discrete particle swarm optimization algorithm in BBV network","authors":"Yang Min, Zhang Jiayue, Zhang Damin","doi":"10.1109/ISCO.2017.7855982","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855982","url":null,"abstract":"It is a key that how to find the most important nodes and to immune them in network. The maximum numbers and degree centrality of nodes are funded by The DPSO (discrete particle swarm optimization) strategy, the network is cut as small as possible, and then the infected nodes are limited in sub network to prevent virus propagation. Whereas due to the loss information of expressing nodes nature of strength in weighted network, we combine the maximum numbers and semi-local centrality of nodes, to identify nodes and cut the network. We compare the efficiency of those methods in weighted network, simulation results show that the method can restrain virus propagation effectively.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115468246","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855989
Ramanathan C., A. R, K. Sriharsha, S. Hamsavaahini, A. R., J. Saranya, R. Subhathira, Kalaiselvan K., N. R. Raajan
Attractors over OFDM is an emerging research concept which has immense potential for secured communication. The dynamic behavior of Rucklidge system leads to various strange attractors according to varying initial conditions and parameters. In our work one such new strange attractor has been developed and transmitted through OFDM and its behavior has been studied using MATLAB simulation. The performance of the system has been analyzed using BER vs Eb/N0 graph when the modulation schemes done with QPSK, 16-QAM and 64-QAM. It was observed that its security level has been enhanced because of the monovular nature of decoding it by using the same initial conditions as that of given at formation of strange attractor from the Rucklidge system.
OFDM上的吸引子是一个新兴的研究概念，在安全通信方面具有巨大的潜力。Rucklidge系统的动力学行为导致根据不同的初始条件和参数产生各种奇怪的吸引子。本文开发了一种新型的奇异吸引子，并通过OFDM传输，利用MATLAB仿真对其行为进行了研究。利用BER vs Eb/N0图分析了采用QPSK、16-QAM和64-QAM调制方案时系统的性能。通过使用与Rucklidge系统奇异吸引子形成时相同的初始条件对其进行解码，其安全性得到了提高。
{"title":"A new chaotic attractor from Rucklidge system and its application in secured communication using OFDM","authors":"Ramanathan C., A. R, K. Sriharsha, S. Hamsavaahini, A. R., J. Saranya, R. Subhathira, Kalaiselvan K., N. R. Raajan","doi":"10.1109/ISCO.2017.7855989","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855989","url":null,"abstract":"Attractors over OFDM is an emerging research concept which has immense potential for secured communication. The dynamic behavior of Rucklidge system leads to various strange attractors according to varying initial conditions and parameters. In our work one such new strange attractor has been developed and transmitted through OFDM and its behavior has been studied using MATLAB simulation. The performance of the system has been analyzed using BER vs Eb/N0 graph when the modulation schemes done with QPSK, 16-QAM and 64-QAM. It was observed that its security level has been enhanced because of the monovular nature of decoding it by using the same initial conditions as that of given at formation of strange attractor from the Rucklidge system.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116297121","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 : 1900-01-01DOI: 10.1109/isco.2017.7856048
{"title":"Sample review comments","authors":"","doi":"10.1109/isco.2017.7856048","DOIUrl":"https://doi.org/10.1109/isco.2017.7856048","url":null,"abstract":"","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124350887","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856029
Chetan P. Ugale, V. Dixit
This research paper is about implementing energy harvesting solutions to maximize the output voltage of solar panel and to harvest the waste energy from solar panel for low voltage application. As the range of applications for solar energy increases, the improved materials and methods used to harness this power source needs to be developed. Major influences on overall efficiency include solar cell efficiency, intensity of source radiation and storage technique. To circumvent this problem this technique is implemented by solar energy system independent on irradiance and temperature developed by using buck-boost converter. Fuzzy logic controller generate variable duty cycle depends on variable solar panel voltage. Generated duty cycle is applied to buck-boost converter on which output is depends which is used for low voltage application such as battery charging. The charge battery will be used for lightening the parking, staircase and quoridor etc.
{"title":"Buck-boost converter using Fuzzy logic for low voltage solar energy harvesting application","authors":"Chetan P. Ugale, V. Dixit","doi":"10.1109/ISCO.2017.7856029","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856029","url":null,"abstract":"This research paper is about implementing energy harvesting solutions to maximize the output voltage of solar panel and to harvest the waste energy from solar panel for low voltage application. As the range of applications for solar energy increases, the improved materials and methods used to harness this power source needs to be developed. Major influences on overall efficiency include solar cell efficiency, intensity of source radiation and storage technique. To circumvent this problem this technique is implemented by solar energy system independent on irradiance and temperature developed by using buck-boost converter. Fuzzy logic controller generate variable duty cycle depends on variable solar panel voltage. Generated duty cycle is applied to buck-boost converter on which output is depends which is used for low voltage application such as battery charging. The charge battery will be used for lightening the parking, staircase and quoridor etc.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133300227","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856018
Kirtan Gopal Panda, N. Kumar, A. Hossain
Evaporimeter, a scientific device is used to measure the rate of water evaporation into the atmosphere from a wet surface. Using this instrument, we are able to calculate irrigation scheduling, crop selection to the different geographical area and future prediction of drought. Now a day's the compressive development of wireless sensor and Internet of things (IoT) can be embedded with manually operated evaporimeter. In this paper our main intensiveness on the modernization of Class-A Pan Evaporimeter with low expenditure. By deploying different types of sensors on manually operated evaporimeter and exchange data with servers is not only reduce the manual effort but also feasible it for real-time remote area operation. Here we focus on the conceptual idea and algorithm for the design of low-cost sensory evaporimeter based on IoT.
{"title":"Conceptual view of low-cost sensory Evaporimeter based on Internet of Things (IoT)","authors":"Kirtan Gopal Panda, N. Kumar, A. Hossain","doi":"10.1109/ISCO.2017.7856018","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856018","url":null,"abstract":"Evaporimeter, a scientific device is used to measure the rate of water evaporation into the atmosphere from a wet surface. Using this instrument, we are able to calculate irrigation scheduling, crop selection to the different geographical area and future prediction of drought. Now a day's the compressive development of wireless sensor and Internet of things (IoT) can be embedded with manually operated evaporimeter. In this paper our main intensiveness on the modernization of Class-A Pan Evaporimeter with low expenditure. By deploying different types of sensors on manually operated evaporimeter and exchange data with servers is not only reduce the manual effort but also feasible it for real-time remote area operation. Here we focus on the conceptual idea and algorithm for the design of low-cost sensory evaporimeter based on IoT.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116059068","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855980
P. A. Michael, Suji Vinayak A., J. A., Viswa Hariharan A., Sharon G.
Air conditioning is a major factor for the amount of power consumption in an infrastructure. Therefore it's important to improve the overall efficiency of the air conditioning system. Reducing the power consumption can decrease the demand for energy and lower the emission of greenhouse gases. In this paper, we present that the use of BLDC run fan for condenser in chiller system of air-conditioners will have better efficiency than the conventionally used induction motor. The rate of Air flow determines the temperature difference between the coolant entering the condenser and leaving the condenser. As the power loss in induction motor is higher than BLDC motor, higher speed can be obtained using BLDC motor than IM motor with same power rating. So, when speed increases the coefficient of performance increases. The simulation performed in CFD (computational fluid dynamics) software brings out the performance of BLDC motor and Induction motor, proving the better coefficient of performance with BLDC motor.
{"title":"Modelling, simulation & comparison of BLDC motor and induction motor based condenser in a chiller cooler system using CFD","authors":"P. A. Michael, Suji Vinayak A., J. A., Viswa Hariharan A., Sharon G.","doi":"10.1109/ISCO.2017.7855980","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855980","url":null,"abstract":"Air conditioning is a major factor for the amount of power consumption in an infrastructure. Therefore it's important to improve the overall efficiency of the air conditioning system. Reducing the power consumption can decrease the demand for energy and lower the emission of greenhouse gases. In this paper, we present that the use of BLDC run fan for condenser in chiller system of air-conditioners will have better efficiency than the conventionally used induction motor. The rate of Air flow determines the temperature difference between the coolant entering the condenser and leaving the condenser. As the power loss in induction motor is higher than BLDC motor, higher speed can be obtained using BLDC motor than IM motor with same power rating. So, when speed increases the coefficient of performance increases. The simulation performed in CFD (computational fluid dynamics) software brings out the performance of BLDC motor and Induction motor, proving the better coefficient of performance with BLDC motor.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114502330","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855961
P. Misra, Tapas Si
This paper presents a hard clustering technique using fireworks algorithm with adaptive transfer function (FWAATF) for image segmentation. The fireworks algorithm (FWA) is a recently developed new Swarm Intelligence (SI) algorithm for function optimization. This algorithm simulates the process of fireworks explosion in the night sky. The main characteristic of FWA is the good balance between exploration and exploitation during the search process. The exploitation is done using good fireworks whereas the bad fireworks are responsible for exploration. FWA shows its efficiency and effectiveness in numerical function optimization over other SI algorithm like particle swarm optimization (PSO). FWA-ATF is a modified version of basic FWA and in this work, it is used in hard clustering technique to segment the image. FWA-ATF is used to find the optimal cluster centroids corresponding to different regions in the image. The proposed clustering technique is applied to segment four benchmark images and the well-known cluster validity index-Dunn's Index is used to measure the performance of the proposed clustering technique quantitatively. The performance of the proposed method is compared with clustering using K-means, PSO and basic FWA. The experimental results demonstrates that the proposed clustering technique with FWA-ATF performs better than other methods in segmentation for most of the images.
{"title":"Image segmentation using clustering with fireworks algorithm","authors":"P. Misra, Tapas Si","doi":"10.1109/ISCO.2017.7855961","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855961","url":null,"abstract":"This paper presents a hard clustering technique using fireworks algorithm with adaptive transfer function (FWAATF) for image segmentation. The fireworks algorithm (FWA) is a recently developed new Swarm Intelligence (SI) algorithm for function optimization. This algorithm simulates the process of fireworks explosion in the night sky. The main characteristic of FWA is the good balance between exploration and exploitation during the search process. The exploitation is done using good fireworks whereas the bad fireworks are responsible for exploration. FWA shows its efficiency and effectiveness in numerical function optimization over other SI algorithm like particle swarm optimization (PSO). FWA-ATF is a modified version of basic FWA and in this work, it is used in hard clustering technique to segment the image. FWA-ATF is used to find the optimal cluster centroids corresponding to different regions in the image. The proposed clustering technique is applied to segment four benchmark images and the well-known cluster validity index-Dunn's Index is used to measure the performance of the proposed clustering technique quantitatively. The performance of the proposed method is compared with clustering using K-means, PSO and basic FWA. The experimental results demonstrates that the proposed clustering technique with FWA-ATF performs better than other methods in segmentation for most of the images.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132288988","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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