Pub Date : 2015-12-01DOI: 10.1109/ICCIC.2015.7435762
G. Saini, V. Ravi
Outlier detection has been attracting the data analysts in almost every domain for a long time now because their detection is very challenging. Outliers or novel cases need to be detected before any analysis is performed on data set. Depending upon the domain, outlier detection saves a lot of time, money or both. In this paper, we developed a novel outlier detection model using ensembling technique, in the paradigm of soft computing, which includes four algorithms, namely k-Reverse Nearest Neighbor (kRNN), Auto Associative Neural Network (AANN), Counter Propagation Auto Association Neural Network (CPAANN), and Generalized Regression Auto Association Neural network (GRAANN) as constituents. The ensemble takes the union of all the outliers found by the four techniques.
{"title":"Outlier detection via a soft computing hybrid","authors":"G. Saini, V. Ravi","doi":"10.1109/ICCIC.2015.7435762","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435762","url":null,"abstract":"Outlier detection has been attracting the data analysts in almost every domain for a long time now because their detection is very challenging. Outliers or novel cases need to be detected before any analysis is performed on data set. Depending upon the domain, outlier detection saves a lot of time, money or both. In this paper, we developed a novel outlier detection model using ensembling technique, in the paradigm of soft computing, which includes four algorithms, namely k-Reverse Nearest Neighbor (kRNN), Auto Associative Neural Network (AANN), Counter Propagation Auto Association Neural Network (CPAANN), and Generalized Regression Auto Association Neural network (GRAANN) as constituents. The ensemble takes the union of all the outliers found by the four techniques.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125144727","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435672
M. S. Manshahia, M. Dave, S. Singh
Problem of Congestion in Wireless Sensor Network (WSN) is an area which draws attention of various researchers in recent years. The challenge lies in developing a model for routing which can find the optimized route on the basis of distance between source and destination and the residual energy of the node. Various models have been proposed and developed from time to time and their merits and demerits have been discussed. This paper shows an implementation of the Improved Bat Algorithm which is based on the echolocation of bats to control congestion in Wireless Sensor Networks at transport layer. Simulation results have shown that as the number of hops in the path of data transmission increases the Queue length is decreases. The Congestion in the network decreases as the packets are transferred through different routes rather than collecting on a single node. Two important factors such as network lifetime and throughput are also compared with CODA (Congestion Detection and Avoidance) and PSO (Particle Swarm Optimization) algorithm.
{"title":"Bio inspired congestion control mechanism for Wireless Sensor Networks","authors":"M. S. Manshahia, M. Dave, S. Singh","doi":"10.1109/ICCIC.2015.7435672","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435672","url":null,"abstract":"Problem of Congestion in Wireless Sensor Network (WSN) is an area which draws attention of various researchers in recent years. The challenge lies in developing a model for routing which can find the optimized route on the basis of distance between source and destination and the residual energy of the node. Various models have been proposed and developed from time to time and their merits and demerits have been discussed. This paper shows an implementation of the Improved Bat Algorithm which is based on the echolocation of bats to control congestion in Wireless Sensor Networks at transport layer. Simulation results have shown that as the number of hops in the path of data transmission increases the Queue length is decreases. The Congestion in the network decreases as the packets are transferred through different routes rather than collecting on a single node. Two important factors such as network lifetime and throughput are also compared with CODA (Congestion Detection and Avoidance) and PSO (Particle Swarm Optimization) algorithm.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129334561","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435758
Avinash More, Sharad Wagh, Kedar Joshi
Wireless Sensor Networks (WSN's) recently has been proposed for several applications. WSN can be used for habitat and ecosystem monitoring, seismic monitoring, civil structure health monitoring and industrial process monitoring. Such applications may include stationary or mobile sensor nodes that can move in the intended area to achieve a certain objectives of networks. This paper presents the development of an experimental test-bed for real-world Habitat Monitoring System (HMS). Our system consists of stationary sensor nodes which are integrated with Wi-Fi network to acquire the remote physical environmental data. We have integrated temperature, humidity and light sensors in our Habitat Monitoring System for investigating the performance of our HMS test-bed. The proposed test-bed of Habitat Monitoring System (HMS) describes the data monitoring, data handling, data storing and database management system. However, by replacing the sensors the developed test-bed can also be used for air population, forest fire detection, health care monitoring and water quality monitoring.
{"title":"A test-bed for habitat monitoring system using Wi-Fi in Wireless Sensor Networks","authors":"Avinash More, Sharad Wagh, Kedar Joshi","doi":"10.1109/ICCIC.2015.7435758","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435758","url":null,"abstract":"Wireless Sensor Networks (WSN's) recently has been proposed for several applications. WSN can be used for habitat and ecosystem monitoring, seismic monitoring, civil structure health monitoring and industrial process monitoring. Such applications may include stationary or mobile sensor nodes that can move in the intended area to achieve a certain objectives of networks. This paper presents the development of an experimental test-bed for real-world Habitat Monitoring System (HMS). Our system consists of stationary sensor nodes which are integrated with Wi-Fi network to acquire the remote physical environmental data. We have integrated temperature, humidity and light sensors in our Habitat Monitoring System for investigating the performance of our HMS test-bed. The proposed test-bed of Habitat Monitoring System (HMS) describes the data monitoring, data handling, data storing and database management system. However, by replacing the sensors the developed test-bed can also be used for air population, forest fire detection, health care monitoring and water quality monitoring.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127263528","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435765
Kshitij Tayal, V. Ravi
In this paper, we developed a Binary Particle Swarm Optimization (BPSO) based fuzzy association rule miner to generate fuzzy association rules from a transactional database by formulating a combinatorial global optimization problem, without pre-defining minimum support and confidence unlike other conventional association miners. Goodness of fuzzy association rules is measured by a fitness function viz., the product of support and confidence. So as to demonstrate the effectiveness of our method, we implemented it to phishing detection domain. Based on the goodness of the rules obtained, we infer that our proposed algorithm can be used as a sound alternative to the fuzzy apriori algorithm.
{"title":"Fuzzy association rule mining using binary particle swarm optimization: Application to cyber fraud analytics","authors":"Kshitij Tayal, V. Ravi","doi":"10.1109/ICCIC.2015.7435765","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435765","url":null,"abstract":"In this paper, we developed a Binary Particle Swarm Optimization (BPSO) based fuzzy association rule miner to generate fuzzy association rules from a transactional database by formulating a combinatorial global optimization problem, without pre-defining minimum support and confidence unlike other conventional association miners. Goodness of fuzzy association rules is measured by a fitness function viz., the product of support and confidence. So as to demonstrate the effectiveness of our method, we implemented it to phishing detection domain. Based on the goodness of the rules obtained, we infer that our proposed algorithm can be used as a sound alternative to the fuzzy apriori algorithm.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127671218","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435657
T. Aswathi, P. Sathishkumar
All Digital Phase Locked Loops are widely used as clock generators in multiprocessor system on chips. An error detection system is crucial for such clock generators since it can be used to notify different processors to shut down so as to prevent the propagation of a faulty clock. In this work, an All Digital Phase Locked Loop with an improved input clock failure detector is presented. The All Digital Phase Locked Loop proposed in this paper is designed to operate from 61KHz to 42Mhz. A completely digital approach is used for the design. The design achieves lock in less than 5 reference cycles. The input clock fail detector circuit detects the loss of input signal and notifies the controller. Fault detection is possible at an early stage and hence, it takes only 2 Digitally Controlled Oscillator clock cycles for stuck at fault detection and 1 reference clock cycle for out of limit fault detection. Entire design is done in Verilog hardware description language and hence it is highly versatile. Synthesis is done using cadence RTL compiler.
{"title":"All digital phase locked loop with input clock fail detector","authors":"T. Aswathi, P. Sathishkumar","doi":"10.1109/ICCIC.2015.7435657","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435657","url":null,"abstract":"All Digital Phase Locked Loops are widely used as clock generators in multiprocessor system on chips. An error detection system is crucial for such clock generators since it can be used to notify different processors to shut down so as to prevent the propagation of a faulty clock. In this work, an All Digital Phase Locked Loop with an improved input clock failure detector is presented. The All Digital Phase Locked Loop proposed in this paper is designed to operate from 61KHz to 42Mhz. A completely digital approach is used for the design. The design achieves lock in less than 5 reference cycles. The input clock fail detector circuit detects the loss of input signal and notifies the controller. Fault detection is possible at an early stage and hence, it takes only 2 Digitally Controlled Oscillator clock cycles for stuck at fault detection and 1 reference clock cycle for out of limit fault detection. Entire design is done in Verilog hardware description language and hence it is highly versatile. Synthesis is done using cadence RTL compiler.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126756617","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435794
A. Reddy, A. Govardhan
The objective of Resource allocation for the Choice based Education System using Semantic Web is to propose an implementation model for an agent software which acts as a bridge between different educational services, content-oriented intelligence and their semantic interoperation. This paper analyzes and identifies techniques necessary to develop an automatic choice based educational system for next generation to overcome human intervention. The different educational services such as course registration, examination module, schedules the courses, assessment of student and assessment of faculty need to be automated. It means that our system adopts a learning mechanism and provides the content - oriented intelligence and more semantic interoperation between these services and content. The paper proposes semantic web is realistic technology that supports to achieve such kind of flexibility.
{"title":"Resource allocation for the Choice based Education System using Semantic Web","authors":"A. Reddy, A. Govardhan","doi":"10.1109/ICCIC.2015.7435794","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435794","url":null,"abstract":"The objective of Resource allocation for the Choice based Education System using Semantic Web is to propose an implementation model for an agent software which acts as a bridge between different educational services, content-oriented intelligence and their semantic interoperation. This paper analyzes and identifies techniques necessary to develop an automatic choice based educational system for next generation to overcome human intervention. The different educational services such as course registration, examination module, schedules the courses, assessment of student and assessment of faculty need to be automated. It means that our system adopts a learning mechanism and provides the content - oriented intelligence and more semantic interoperation between these services and content. The paper proposes semantic web is realistic technology that supports to achieve such kind of flexibility.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127825900","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435763
S. Gupta, Abhishek Mathur
Underwater Wireless Sensor Networks are generally used to explore aquatic environment. In UWSN, discovering the region of sensor node is a major issue. Observed data is useful when sensor node is localized. There are various approaches present for locating the nodes in Wireless Sensor Network yet they are not as useful in UWSN. In this paper we have presented various approaches available for UWSN. In our proposed work we are organizing the sensor nodes in a fixed moving pattern so that the nodes move in a particular area, the pattern is organized in hexagon structure. Our results show that the implemented algorithm provides better results in terms of performance parameters.
{"title":"Modified spray and wait routing in under water acostic communication for sensor network","authors":"S. Gupta, Abhishek Mathur","doi":"10.1109/ICCIC.2015.7435763","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435763","url":null,"abstract":"Underwater Wireless Sensor Networks are generally used to explore aquatic environment. In UWSN, discovering the region of sensor node is a major issue. Observed data is useful when sensor node is localized. There are various approaches present for locating the nodes in Wireless Sensor Network yet they are not as useful in UWSN. In this paper we have presented various approaches available for UWSN. In our proposed work we are organizing the sensor nodes in a fixed moving pattern so that the nodes move in a particular area, the pattern is organized in hexagon structure. Our results show that the implemented algorithm provides better results in terms of performance parameters.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130467379","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435628
D. Suryanarayana, S. M. Hussain, Prathyusha Kanakam, S. Gupta
Creating the Semantic Web (SW) practicality comprises numerous tasks to lead the way in the current computer technology. It can't carry out without a human intervention, but a master is capable to accomplish with the moderate training to a machine. The semantic search seeks out for the actual context of a particular search query given by the user based on the meaning rather than content matching. However, a few search engines provide a mass list of the results based on the user intentions using their semantic properties of Web representations. This paper shows the significance of Web knowledge representations and application integration, which are the two basic aspects of semantic programming to retrieve the information of a user's intentions. A comparative study and analysis of various popular search engines which are unsuccessful to retrieve relevant information for a test of queries given by the users is provided. Therefore, this paper presents an effective determination of the information by navigating the semantic Web using the Resource Description Framework (RDF) and Web ontology language (OWL).
{"title":"Stepping towards a semantic web search engine for accurate outcomes in favor of user queries: Using RDF and ontology technologies","authors":"D. Suryanarayana, S. M. Hussain, Prathyusha Kanakam, S. Gupta","doi":"10.1109/ICCIC.2015.7435628","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435628","url":null,"abstract":"Creating the Semantic Web (SW) practicality comprises numerous tasks to lead the way in the current computer technology. It can't carry out without a human intervention, but a master is capable to accomplish with the moderate training to a machine. The semantic search seeks out for the actual context of a particular search query given by the user based on the meaning rather than content matching. However, a few search engines provide a mass list of the results based on the user intentions using their semantic properties of Web representations. This paper shows the significance of Web knowledge representations and application integration, which are the two basic aspects of semantic programming to retrieve the information of a user's intentions. A comparative study and analysis of various popular search engines which are unsuccessful to retrieve relevant information for a test of queries given by the users is provided. Therefore, this paper presents an effective determination of the information by navigating the semantic Web using the Resource Description Framework (RDF) and Web ontology language (OWL).","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134382692","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435743
Kalaivani Ravisekaran, Sivakumar Ramakrishnan
Learning Management System (LMS) has been becoming an unavoidable component in virtual learning system. It offers various facilities to enrich the learning process in a virtual environment. However, it is understood that existing Learning Management Systems need to be extended with ubiquitous additional functionalities. Hence this paper proposes a framework for LMS to support U-conferencing facility in order to make the LMS rich in ubiquitous nature. This framework ensures no latency and support for visually disabled learners in ubiquitous Learning Management System environment.
{"title":"Towards development of U-conferencing facility in learning management system","authors":"Kalaivani Ravisekaran, Sivakumar Ramakrishnan","doi":"10.1109/ICCIC.2015.7435743","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435743","url":null,"abstract":"Learning Management System (LMS) has been becoming an unavoidable component in virtual learning system. It offers various facilities to enrich the learning process in a virtual environment. However, it is understood that existing Learning Management Systems need to be extended with ubiquitous additional functionalities. Hence this paper proposes a framework for LMS to support U-conferencing facility in order to make the LMS rich in ubiquitous nature. This framework ensures no latency and support for visually disabled learners in ubiquitous Learning Management System environment.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134535712","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 : 2015-12-01DOI: 10.1109/ICCIC.2015.7435823
K. Rekha, T. Sreenivas
Wireless sensor networks (WSN's) have become the part and parcel of our life. The Wireless sensor networks are used to sense and process data in applications like Water Level Monitoring, Vehicle Tracking and Patient Health care Monitoring systems. The energy is supplied to the sensor node through the battery. As the battery storage cannot be retained for longer time, the sample of information may not be collected continuously and send to the Base Station with a regular interval of time. The collection of information and its processing will be difficult, as there would be dynamic change in topology due to failure of existing nodes, addition of new nodes, link failure, change in parameters and the amount of battery storage capacity left in nodes. The Sensor nodes must observe the context, identify the dynamic changes and adapt to the new operating conditions. The challenges to be addressed during the establishment of an infrastructure-based reconfigurable Wireless Sensor Networks are Localization, Software Development, Role Assignment, Design of Code Dissemination Algorithms, Routing, Reconfiguration Model, Configuration Management and Security. Many Frameworks have been proposed to establish an infrastructure-based Wireless Sensor networks. But, there exist a need for an adaptive infrastructure-based reconfigurable framework which has to reconfigure at the runtime.
{"title":"Infrastructure establishment for a reconfigurable network in wireless sensor networks","authors":"K. Rekha, T. Sreenivas","doi":"10.1109/ICCIC.2015.7435823","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435823","url":null,"abstract":"Wireless sensor networks (WSN's) have become the part and parcel of our life. The Wireless sensor networks are used to sense and process data in applications like Water Level Monitoring, Vehicle Tracking and Patient Health care Monitoring systems. The energy is supplied to the sensor node through the battery. As the battery storage cannot be retained for longer time, the sample of information may not be collected continuously and send to the Base Station with a regular interval of time. The collection of information and its processing will be difficult, as there would be dynamic change in topology due to failure of existing nodes, addition of new nodes, link failure, change in parameters and the amount of battery storage capacity left in nodes. The Sensor nodes must observe the context, identify the dynamic changes and adapt to the new operating conditions. The challenges to be addressed during the establishment of an infrastructure-based reconfigurable Wireless Sensor Networks are Localization, Software Development, Role Assignment, Design of Code Dissemination Algorithms, Routing, Reconfiguration Model, Configuration Management and Security. Many Frameworks have been proposed to establish an infrastructure-based Wireless Sensor networks. But, there exist a need for an adaptive infrastructure-based reconfigurable framework which has to reconfigure at the runtime.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133118430","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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