Pub Date : 2018-03-01DOI: 10.1109/ICECA.2018.8474673
Shriya Ghosh, S. Banerjee
Computational intelligent techniques one of emerging field of research within research community. Numerous proposals have already been implemented in two interesting computational intelligent techniques namely fuzzy logic and neural network. However, findings of optimum values have not been achieved by adopting these two approaches. To solve this issue various optimization techniques have been suggested. For this purpose, physics based, swarm based and human based optimization algorithms have been recommended. Moreover, it has also been noticed that one of the renowned communication schemes like Universal Mobile Telecommunications System (UMTS) has been enormously used in different field of wireless communication. An exhaustive research has also been executed on this field for further improvement. In this article, modification of a stimulating technique entitled as Whale Optimization Algorithm (WOA) has been executed “bubble-net” confronting process. To evaluate the performance of the proposed algorithm numerous benchmark functions has been considered. Finally, proposed Improved Whale Optimization Algorithm (IWOA) has been applied on UMTS technique. In this framework, Bit Error Rate (BER) performance of the enriched UMTS standard has also been analyzed using existing Whale Optimization Algorithm (WOA) and its modified version.
{"title":"Design of Improved Whale Optimization Algorithm: Leeway to UMTS system","authors":"Shriya Ghosh, S. Banerjee","doi":"10.1109/ICECA.2018.8474673","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474673","url":null,"abstract":"Computational intelligent techniques one of emerging field of research within research community. Numerous proposals have already been implemented in two interesting computational intelligent techniques namely fuzzy logic and neural network. However, findings of optimum values have not been achieved by adopting these two approaches. To solve this issue various optimization techniques have been suggested. For this purpose, physics based, swarm based and human based optimization algorithms have been recommended. Moreover, it has also been noticed that one of the renowned communication schemes like Universal Mobile Telecommunications System (UMTS) has been enormously used in different field of wireless communication. An exhaustive research has also been executed on this field for further improvement. In this article, modification of a stimulating technique entitled as Whale Optimization Algorithm (WOA) has been executed “bubble-net” confronting process. To evaluate the performance of the proposed algorithm numerous benchmark functions has been considered. Finally, proposed Improved Whale Optimization Algorithm (IWOA) has been applied on UMTS technique. In this framework, Bit Error Rate (BER) performance of the enriched UMTS standard has also been analyzed using existing Whale Optimization Algorithm (WOA) and its modified version.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116375337","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474546
Y. Gulhane, S. Ladhake
Debate on the how emotion works?, is going on from last few decade. Emotions are brain states accompanied by corresponding bodily responses. These are the fundamental facts of the emotion. The conscious feeling we become aware of add to the emotional state. Emotions are, first and foremost, internal feelings we experience. and hence emotional expressions important for displaying our internal feelings. Human speech conveys linguistic messages as well as emotional information. Depending on acoustic parameters it is possible to measure multiple emotions. Discrete emotion theory and Dimensional theories have been introduced for emotions like Happy, sad, fear and, positive, negative respectively. In this paper we propose a hybrid model detecting type and class of emotion. SVM classifier approach is proposed for better results. Outcome of the model will compare with both Discrete and Dimensional theory base existing applications. With designing of hybrid model we hope that it will achieve better results. We also contribute a new dataset for emotion with Marathi and Hindi (Indian)database of speech.
{"title":"Hybrid Approach of Emotion Classifier","authors":"Y. Gulhane, S. Ladhake","doi":"10.1109/ICECA.2018.8474546","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474546","url":null,"abstract":"Debate on the how emotion works?, is going on from last few decade. Emotions are brain states accompanied by corresponding bodily responses. These are the fundamental facts of the emotion. The conscious feeling we become aware of add to the emotional state. Emotions are, first and foremost, internal feelings we experience. and hence emotional expressions important for displaying our internal feelings. Human speech conveys linguistic messages as well as emotional information. Depending on acoustic parameters it is possible to measure multiple emotions. Discrete emotion theory and Dimensional theories have been introduced for emotions like Happy, sad, fear and, positive, negative respectively. In this paper we propose a hybrid model detecting type and class of emotion. SVM classifier approach is proposed for better results. Outcome of the model will compare with both Discrete and Dimensional theory base existing applications. With designing of hybrid model we hope that it will achieve better results. We also contribute a new dataset for emotion with Marathi and Hindi (Indian)database of speech.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121556203","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474896
Rahul Kumar, P. Jindal
In this paper, we analyze the secrecy rate of a single hop wireless network employing Power Splitting Relaying (PSR) energy harvesting scheme using Amplify-and-Forward (AF) and Decode-and-Forward (DF) cooperative schemes in different channel conditions, namely, AWGN channel, Rayleigh channel and Rician channel. A power beacon is also used to provide power to source and relay. We have analysed that AF performs better than DF in all the three cases.
{"title":"Secrecy Performance Analysis in Different Network Scenerios","authors":"Rahul Kumar, P. Jindal","doi":"10.1109/ICECA.2018.8474896","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474896","url":null,"abstract":"In this paper, we analyze the secrecy rate of a single hop wireless network employing Power Splitting Relaying (PSR) energy harvesting scheme using Amplify-and-Forward (AF) and Decode-and-Forward (DF) cooperative schemes in different channel conditions, namely, AWGN channel, Rayleigh channel and Rician channel. A power beacon is also used to provide power to source and relay. We have analysed that AF performs better than DF in all the three cases.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375540","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474709
G. Anjaneyulu, T. Varma, J. Varma
A number of papers are available on the analysis of dipole arrays in free space. But the work on embedded dipoles in dielectric media is limited in open literature. The behavior and characteristics are completely changed when the dipoles are embedded in dielectric slab. In this paper horizontal dipole array embedded in different dielectric slabs and different slab thickness is considered. Based on which, and radiation patterns are generated. Such patterns are used in point-to-point communications, scan, and non-scan radar applications.
{"title":"Patterns Generation of Horizontal Dipole Array Embedded in Different Dielectric Slabs","authors":"G. Anjaneyulu, T. Varma, J. Varma","doi":"10.1109/ICECA.2018.8474709","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474709","url":null,"abstract":"A number of papers are available on the analysis of dipole arrays in free space. But the work on embedded dipoles in dielectric media is limited in open literature. The behavior and characteristics are completely changed when the dipoles are embedded in dielectric slab. In this paper horizontal dipole array embedded in different dielectric slabs and different slab thickness is considered. Based on which, and radiation patterns are generated. Such patterns are used in point-to-point communications, scan, and non-scan radar applications.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127608803","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474708
Biswarup Chakraborty, Proshikshya Mukherjee
The work focuses on the cooperative action of the heterogeneous sensor networking using water-fill algorithm. The proposed approach is based on the merits of water-fill algorithm, to maintain the signal-to-noise ratio (SNR) of the corresponding time invariant nature of the network. The proposed technique implements the algorithm by considering cluster based sensor setup and realtime transport layer constraints. Further, the results infer the energy usage comparison and the effectiveness of the proposed work with respect to sub-channel grouping for the formation of inter-cluster communication.
{"title":"WAL: An Energy Efficient Hybrid Routing Protocol in Co-operative Communication","authors":"Biswarup Chakraborty, Proshikshya Mukherjee","doi":"10.1109/ICECA.2018.8474708","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474708","url":null,"abstract":"The work focuses on the cooperative action of the heterogeneous sensor networking using water-fill algorithm. The proposed approach is based on the merits of water-fill algorithm, to maintain the signal-to-noise ratio (SNR) of the corresponding time invariant nature of the network. The proposed technique implements the algorithm by considering cluster based sensor setup and realtime transport layer constraints. Further, the results infer the energy usage comparison and the effectiveness of the proposed work with respect to sub-channel grouping for the formation of inter-cluster communication.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127778438","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474719
Praveen Tiwari, S. Verma
The paper presents a circularly polarized wide-slot printed antenna with adjacent feeding technique. The antenna contains a parasitic square radiating patch embedded in the wide-slot. The impedance bandwidth ranges from 3.33 GHz to 6.7 GHz. Thus, the proposed antenna covers WiMAX (3.5 GHz/ 5.5 GHz), WLAN (5.2 GHz/ 5.8 GHz). The Antenna is circularly polarized at WiMAX (3.5 GHz) and WLAN (5.2 GHz) having AR bandwidth of 0.25 GHz (3.35 GHz- 3.6 GHz) and 0.63 GHz (4.7 GHz- 5.33 GHz). The impedance bandwidth is 67% in the frequency range. The antenna is suitable for satellite applications also.
{"title":"Circulary Polarized Wide-slot Printed Antenna for WiMAX and WLAN Applications","authors":"Praveen Tiwari, S. Verma","doi":"10.1109/ICECA.2018.8474719","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474719","url":null,"abstract":"The paper presents a circularly polarized wide-slot printed antenna with adjacent feeding technique. The antenna contains a parasitic square radiating patch embedded in the wide-slot. The impedance bandwidth ranges from 3.33 GHz to 6.7 GHz. Thus, the proposed antenna covers WiMAX (3.5 GHz/ 5.5 GHz), WLAN (5.2 GHz/ 5.8 GHz). The Antenna is circularly polarized at WiMAX (3.5 GHz) and WLAN (5.2 GHz) having AR bandwidth of 0.25 GHz (3.35 GHz- 3.6 GHz) and 0.63 GHz (4.7 GHz- 5.33 GHz). The impedance bandwidth is 67% in the frequency range. The antenna is suitable for satellite applications also.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129961671","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474875
Lovepreet Kaur, Sandeep Kad
The nodes in wireless sensor networks are operated by batteries. To enhance the power usage of the nodes, clustering is one among the well-known approaches used by the researchers. Clustering is usually done using LEACH protocol, but this selects cluster heads randomly, which causes uneven formation of clusters. This paper proposes modified mid-point algorithm along with k-means approach (EECPK) is used to form balanced clusters. The CHs perform multi-hop communication with BS if distance is greater than threshold value. Also, the concept of threshold energy is used to rotate the CHs and communication range of nodes is also taken in account. The performance has been analyzed based on throughput, packet delivery ratio and energy consumption. The value of PDR obtained was 0.75, throughput's value was around 16875 Kbps and network ran for around 35 seconds.
{"title":"Modified EECPK-means mid-point algorithm for enhancing network life expactancy in WSN","authors":"Lovepreet Kaur, Sandeep Kad","doi":"10.1109/ICECA.2018.8474875","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474875","url":null,"abstract":"The nodes in wireless sensor networks are operated by batteries. To enhance the power usage of the nodes, clustering is one among the well-known approaches used by the researchers. Clustering is usually done using LEACH protocol, but this selects cluster heads randomly, which causes uneven formation of clusters. This paper proposes modified mid-point algorithm along with k-means approach (EECPK) is used to form balanced clusters. The CHs perform multi-hop communication with BS if distance is greater than threshold value. Also, the concept of threshold energy is used to rotate the CHs and communication range of nodes is also taken in account. The performance has been analyzed based on throughput, packet delivery ratio and energy consumption. The value of PDR obtained was 0.75, throughput's value was around 16875 Kbps and network ran for around 35 seconds.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134562420","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474663
N. Elakkiya, S. Karthikeyan, T. Ravi
In industrial world the current demand of the consumer is better quality of the products. The grading system is used to detect the quality of the products. This system have been processed manually where it is not efficient and time consuming. To overcome these problems and to reduce the labour requirements, the machine vision technique is developed for grading system. The hardware and software is needed for the machine vision system. The hardware process like camera and the computer is needed to capture the images of the products. Then the features of the respective images must be collected through computer and analysed each and every features based on the image processing techniques. Therefore the quality of the product can be determined easily and it reduces the time. To get an accurate value of the quality the Artificial Intelligence techniques are developed to improve the grading system. Mostly the industrial products of food industry like agricultural products are well developed by using this Artificial Intelligence techniques of the grading system. Thus the most relevant paper are collected and its drawbacks are listed on the below papers. The future work of the proposed system is the Artificial Intelligent technique are used as a classifier for the grading system to detect the accurate quality of the products. Where this proposed system is mostly applicable to detect the quality of the fruits but this system can be implemented to other industrial products in terms of safety of the human beings and also it is applicable to multiple products resulted in improving the perfect grading system.
{"title":"Survey of Grading Process for Agricultural Foods by Using Artificial Intelligence Technique","authors":"N. Elakkiya, S. Karthikeyan, T. Ravi","doi":"10.1109/ICECA.2018.8474663","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474663","url":null,"abstract":"In industrial world the current demand of the consumer is better quality of the products. The grading system is used to detect the quality of the products. This system have been processed manually where it is not efficient and time consuming. To overcome these problems and to reduce the labour requirements, the machine vision technique is developed for grading system. The hardware and software is needed for the machine vision system. The hardware process like camera and the computer is needed to capture the images of the products. Then the features of the respective images must be collected through computer and analysed each and every features based on the image processing techniques. Therefore the quality of the product can be determined easily and it reduces the time. To get an accurate value of the quality the Artificial Intelligence techniques are developed to improve the grading system. Mostly the industrial products of food industry like agricultural products are well developed by using this Artificial Intelligence techniques of the grading system. Thus the most relevant paper are collected and its drawbacks are listed on the below papers. The future work of the proposed system is the Artificial Intelligent technique are used as a classifier for the grading system to detect the accurate quality of the products. Where this proposed system is mostly applicable to detect the quality of the fruits but this system can be implemented to other industrial products in terms of safety of the human beings and also it is applicable to multiple products resulted in improving the perfect grading system.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133899422","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474646
Mohita Bassi, Prakriti Triverbi
Hidden biometrics features may induce identification of a human being without using the visual structural features. The chances of forgery are reduced substantially through hidden biometrics. We are exploring the capabilities of brain structure to be used as biometric. For this we have estimated uniqueness between the structural features of human brains corresponding to different subjects. So qualifying and quantifying the uniqueness in structure of the brain should lead to subject identification. Subject identification has been done by the brain print extracted from brain structures. The proposed approach is reliable than brain signals based biometric techniques. Our aim is to extract non-linear curves having approximate brain structural information instead of considering brain to be of predefined abstract regular shapes. The results are optimistic as we are able to extract enough number of brain curves from a securely selected slice from complete brain map ensuring the scalability of the approach.
{"title":"Human Biometric Identification through Brain Print","authors":"Mohita Bassi, Prakriti Triverbi","doi":"10.1109/ICECA.2018.8474646","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474646","url":null,"abstract":"Hidden biometrics features may induce identification of a human being without using the visual structural features. The chances of forgery are reduced substantially through hidden biometrics. We are exploring the capabilities of brain structure to be used as biometric. For this we have estimated uniqueness between the structural features of human brains corresponding to different subjects. So qualifying and quantifying the uniqueness in structure of the brain should lead to subject identification. Subject identification has been done by the brain print extracted from brain structures. The proposed approach is reliable than brain signals based biometric techniques. Our aim is to extract non-linear curves having approximate brain structural information instead of considering brain to be of predefined abstract regular shapes. The results are optimistic as we are able to extract enough number of brain curves from a securely selected slice from complete brain map ensuring the scalability of the approach.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132620895","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 : 2018-03-01DOI: 10.1109/ICECA.2018.8474757
Aaditya Jain, I. Sharma
Spherical k-means is a fast and effective method for clustering text documents in their directional representation over a unit hypersphere. Current needs of text clustering are related to clustering of streams. Due to memory restrictions, fast and effective methods are required that incur less space complexity. Few research works exist that have adapted spherical k-means to streaming text data, but recorded performance is not satisfactory for novelty detection imbalanced cluster structure. This paper presents streaming spherical k-means with associated facility location costs. Arriving documents are detected as new topic or join an existing depending on these costs.
{"title":"Clustering of Text Streams via Facility Location and Spherical K-means","authors":"Aaditya Jain, I. Sharma","doi":"10.1109/ICECA.2018.8474757","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474757","url":null,"abstract":"Spherical k-means is a fast and effective method for clustering text documents in their directional representation over a unit hypersphere. Current needs of text clustering are related to clustering of streams. Due to memory restrictions, fast and effective methods are required that incur less space complexity. Few research works exist that have adapted spherical k-means to streaming text data, but recorded performance is not satisfactory for novelty detection imbalanced cluster structure. This paper presents streaming spherical k-means with associated facility location costs. Arriving documents are detected as new topic or join an existing depending on these costs.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130735284","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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