2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)最新文献_第5页

Bypassing using directional transceivers: A design for anti-tracking source location privacy protection in WSNs 利用定向收发器旁路:一种无线传感器网络中反跟踪源位置隐私保护的设计

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813548

Abhishek Das, L. Moharana

{"title":"Bypassing using directional transceivers: A design for anti-tracking source location privacy protection in WSNs","authors":"Abhishek Das, L. Moharana","doi":"10.1109/ICRCICN.2016.7813548","DOIUrl":"https://doi.org/10.1109/ICRCICN.2016.7813548","url":null,"abstract":"Wireless sensor networks are “exciting emerging domain of deeply networked systems of low power wireless motes with a tiny amount of CPU and memory and large federated networks for high resolution sensing of the environment”. Wireless sensor networks have verities of applications including endangered animals monitoring, military applications like tracking positions of soldiers. Important points to be considered in this application are to secure the location of monitored objects. In presence of object sensor nodes sends event reporting messages periodically. Attackers can back track those messages to reach at source to capture the object. Different kind of techniques have been developed to protect the object from adversary like “Phantom routing”, Cyclic entrapping method (CEM) and Path extension method (PEM) which provides source location privacy in some extend but not provides 100 percent safety to the source. In this Paper a new method called Bypassing using Directional Transceivers (BDT) is introduced which performs well in case of safety, energy consumption and throughput analysis. Within a sensor network instead of using single transceiver in this new method four directional transceivers are used to provide better safety. Backtracking by adversary can be delayed by changing the direction of original path away from adversary.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831228","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}

引用次数: 4

Pre-layout noise suppression and delay estimation with decap allocation for 1-k point FFT core 1-k点FFT核的预布局噪声抑制和时延估计

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813664

P. Mitra, Chandrani Roy Chowdhury

{"title":"Pre-layout noise suppression and delay estimation with decap allocation for 1-k point FFT core","authors":"P. Mitra, Chandrani Roy Chowdhury","doi":"10.1109/ICRCICN.2016.7813664","DOIUrl":"https://doi.org/10.1109/ICRCICN.2016.7813664","url":null,"abstract":"This paper addresses the decoupling capacitance estimation and allocation based on noise suppression at the prelayout level. Power supply noise (PSN) is an important issue among all the issues in today's application Specific Integrated Circuits (ASIC) design. Present trends in VLSI design are inclined towards the placement of decoupling capacitors for multi-core design. An early prediction and estimation of decoupling capacitance in the pre-layout stage of the design can provide a better scope in optimizing power, noise and delay effects for the circuit. In this paper, we investigate the change in noise and delay parameters with and without the decap allocation for multi-core circuit at the pre-layout stage. Here a 1024 point FFT core is considered as an example for our test circuits as they are quite complex in nature and are also used as custom cores in many applications. To the best of our knowledge PDN analysis for execution time and noise suppression on FFT application cores is not available in related research works. The novelty of our work lies in the fact that by using our approaches noise can be suppressed approximately by 37% on an average at the prelayout stage and 1.84% increase in increase in propagation delay when compared to the original circuitry. This early prediction of CAD implementation helps to create more accurate designs at the layout stage and hence this work can serve as benchmarks for PDN analysis.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123347809","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}

引用次数: 2

Emerging techniques for printed reconfigurable antenna: A review 印刷可重构天线的新兴技术综述

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813551

Anudeepa S. Kholapure, R. Karandikar

引用次数: 8

Quadrature carrier multiplexing based digital video compression 基于正交载波复用的数字视频压缩

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813541

R. Deepak, Akshay K. Kallianpur, M. V. Bharath, K. Shreedarshan

引用次数: 0

Cloud smoke sensing model for AODV, RIP and STAR routing protocols using wireless sensor network in industrial township area 工业乡镇地区无线传感器网络AODV、RIP和STAR路由协议的云感烟模型

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813550

Sahabul Alam, D. De

{"title":"Cloud smoke sensing model for AODV, RIP and STAR routing protocols using wireless sensor network in industrial township area","authors":"Sahabul Alam, D. De","doi":"10.1109/ICRCICN.2016.7813550","DOIUrl":"https://doi.org/10.1109/ICRCICN.2016.7813550","url":null,"abstract":"The wireless sensor network has importance on account of recent improvement of information technology. Micro-electrical mechanical system is used to evolve sensors over the last past decades. The enormous numbers of sensors are redistributed for sensing as well as accumulating data from its neighborhood through routing protocol. Industrial township area yields smoke on account of burning of diesel, coal, fossil fuels etc. The leading goal of this paper is to evaluate AODV, RIP and STAR routing protocols in cloud smoke sensing in industrial township area using Qualnet 7.1 simulator with different parameters like average number of packets dropped, signals transmitted, signals detected, data packets sent, data packets queued and de-queued for CAP and average energy consumed in transmit, receive as well as idle mode. The simulation results show that RIP performs better for packets dropping, STAR performs better for signal transmitting as well as detecting and AODV performs better for data packet sending, queuing and dequeuing in CAP during cloud smoke sensing in industrial township area.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133218452","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}

引用次数: 5

Multilevel color image segmentation using modified genetic algorithm (MfGA) inspired fuzzy c-means clustering 基于改进遗传算法(MfGA)的模糊c均值聚类的多级彩色图像分割

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813635

Sunanda Das, S. De

引用次数: 10

Positioning WiFi access points using Particle Swarm Optimization 利用粒子群优化技术定位WiFi接入点

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813641

Anshu Bhuwania, Pritam Subba, U. K. Roy

引用次数: 6

Dynamics of online social network based on parametric variation of relationship 基于关系参数变化的在线社交网络动态

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813663

Puja Munjal, N. Arora, H. Banati

{"title":"Dynamics of online social network based on parametric variation of relationship","authors":"Puja Munjal, N. Arora, H. Banati","doi":"10.1109/ICRCICN.2016.7813663","DOIUrl":"https://doi.org/10.1109/ICRCICN.2016.7813663","url":null,"abstract":"The current research in opinion mining is largely based on content analysis of social interactions of users on a network. However social interactions are also governed by relationships existing between the various nodes. The role of relationship specific attributes on categorical influence prediction in a social network forms the basis of the presented work. This paper proposes a two phased collaborative model for predicting spread of influence in a social network by utilizing multiple relationship specific parameters. The initial phase identifies and visualizes the varied opinions based on relationships in a network which are then quantified through a distinct measure, the opinion metric, in the second phase. The metric takes in consideration the opinion and page rank centrality of respective nodes to generate the strength of node's negative influence factor. A high value is indicative of higher probability of spreading maximum negative influence. An experimental study on a sample network of ten nodes is conducted using Gephi, a social network analysis software. Using the opinion metric, the node capable of spreading the maximum negative influence in the network was identified. Early identification of malicious nodes in a network can be of immense help in various sectors such as Marketing, Defense, Stock markets, IT industry etc.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116085184","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}

引用次数: 4

Modelling and characterization of cell abnormality using electrical impedance spectroscopy (EIS) system for the preliminary analysis to predict breast cancer 利用电阻抗谱(EIS)系统对细胞异常进行建模和表征，用于预测乳腺癌的初步分析

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813647

N. Amin, S. Rayhan, Asif Ahmed Anik, Rayeesa Jameel

{"title":"Modelling and characterization of cell abnormality using electrical impedance spectroscopy (EIS) system for the preliminary analysis to predict breast cancer","authors":"N. Amin, S. Rayhan, Asif Ahmed Anik, Rayeesa Jameel","doi":"10.1109/ICRCICN.2016.7813647","DOIUrl":"https://doi.org/10.1109/ICRCICN.2016.7813647","url":null,"abstract":"In Bangladesh, breast cancer accounts for 69% death of women. This number increases day by day due to unawareness of the people, lack of confidence about medical treatment, improper screening, maltreatment and lack of motivation to go for institutional treatment and management. The most common form of detection mechanism for breast cancer available to the mass people is mammography, however, several risks, such as direct exposure of radiation are associated with it. Mammography tests are also quite expensive which cannot be readily availed by the mass population of the country. Electrical Bio-impedance (EBI) analysis can be used in breast cancer detection and screening. When EBI measurements are taken at various frequency points it is called Electrical Impedance Spectroscopy (EIS) which can be used as a locally available and cheap screening tool for breast cancer detection. This paper uses an established model of a biological tissue to study the effectiveness of an EIS device that can be constructed with simple electrical components available locally. The impedance and phase angles of both models of normal tissue and cancerous tissue were measured and compared with a known reference. Results showed that the EIS device works satisfactorily and with fine-tuning, will provide the necessary medical facility at an affordable cost.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126901103","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}

引用次数: 7

An approach to development of an ensemble classification system 集成分类系统的一种开发方法

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI: 10.1109/ICRCICN.2016.7813659

Shampa Sengupta, A. Das

{"title":"An approach to development of an ensemble classification system","authors":"Shampa Sengupta, A. Das","doi":"10.1109/ICRCICN.2016.7813659","DOIUrl":"https://doi.org/10.1109/ICRCICN.2016.7813659","url":null,"abstract":"Generally, information system handles huge volume of dataset. Classifiers provide poor performance when such dataset are feed into it for categorization due to their high dimension. The most important attributes are extracted from the dataset prior to classification for efficient classifier design. It is also true that there may be many classifiers of a particular system, some provide better accuracy than others but selection of single classifier with all its optimized parameters is always not a good choice for various real world applications. The paper proposes a novel method for construction of an ensemble classifier by combining multiple classifiers obtained using Rough Set Theory and Genetic algorithm. The method selects the classifiers for integration based on accuracy and develops an efficient and effective ensemble classification system. In the first phase of the work, rule based classifiers termed as base classifiers are constructed from the reduced information sub systems obtained using Rough Set Theory, where a set of high quality rules are generated for each sub system. In the second phase, base classifiers are combined and an optimal ensemble classification system is developed using Genetic Algorithm. Here, ensemble classifier takes an important role to discover the class labels of the test objects with higher accuracy. The proposed algorithm has been run on standard benchmark dataset collected from the UCI repository.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121814860","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}

引用次数: 2