2016 Ninth International Conference on Contemporary Computing (IC3)最新文献_第2页

Non-repetitive single-hop broadcast model for CAM in IEEE802.11p VANETs IEEE802.11p VANETs中CAM的非重复单跳广播模型

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880247

P. Verma, Neeta Singh

{"title":"Non-repetitive single-hop broadcast model for CAM in IEEE802.11p VANETs","authors":"P. Verma, Neeta Singh","doi":"10.1109/IC3.2016.7880247","DOIUrl":"https://doi.org/10.1109/IC3.2016.7880247","url":null,"abstract":"VANETs relies on the repetitive exchange of Cooperative Awareness Messages (CAMs) among vehicle's OnBoard Units (OBUs) and vehicles to roadside units (RSUs), thus making CAMs the backbone of the network. This exchange may lead to degradation of network performance caused by the ample amount of data exchange between the vehicles. Therefore, a tradeoff between CAM broadcast within the network and optimum utilization of network resources is required. Most of the existing work focuses on retransmission of beacon messages supporting unicast 802.11 models which are not directly suited for the VANET scenario. To deal with this problem, the paper presents a model for non-repetitive single-hop broadcast of CAM within the network, thus supporting IEEE802.11p. For non-repetitive broadcast of CAM, the concept of preemption of messages is introduced in the model. Simulation is carried out using MATLAB 15's Simiilink. The model performance is evaluated by extracting its statistical properties in terms of Channel Utilization, CAM's Average Waiting Time within the queue and Average Queue Length. To validate our model, the simulation is implemented on real world data acquired from wheel speed for all wheels for the duration of a test drive.","PeriodicalId":294210,"journal":{"name":"2016 Ninth International Conference on Contemporary Computing (IC3)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907049","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: 0

Effort, duration and cost estimation in agile software development 敏捷软件开发中的工作量、持续时间和成本估算

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880216

Mohd. Owais, R. Ramakishore

引用次数: 27

Quantum inspired genetic algorithm for multi-hop energy balanced unequal clustering in wireless sensor networks 无线传感器网络中多跳能量平衡不均匀聚类的量子启发遗传算法

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880239

Manisha Rathee, Sushil Kumar

{"title":"Quantum inspired genetic algorithm for multi-hop energy balanced unequal clustering in wireless sensor networks","authors":"Manisha Rathee, Sushil Kumar","doi":"10.1109/IC3.2016.7880239","DOIUrl":"https://doi.org/10.1109/IC3.2016.7880239","url":null,"abstract":"Clustering in wireless sensor networks has been one of the most effective mechanisms for addressing the issues of network lifetime, scalability and bandwidth reusability. In this paper, application of a relatively new meta-heuristic called as quantum inspired genetic algorithm has been proposed for dealing with the problem of multi-hop energy balanced unequal clustering and prolonging the network lifetime. Quantum inspired genetic algorithm conflates the concepts of evolutionary computation with the principles of quantum computing. The quantum computing principles impart huge parallel processing capabilities to the genetic algorithm due to which these algorithms provide better quality solutions in lesser amount of time. Quantum inspired algorithms are capable of providing competitive solutions even with a very small population size which results in reduced computational cost as population size is a factor in complexity calculation for evolutionary and swarm algorithms. The effectiveness of proposed approach has been evaluated by comparing it with traditional genetic algorithm based clustering for wireless sensor networks. Simulation results clearly indicate that quantum inspired genetic algorithm is capable of performing clustering in more efficient way and increasing the network lifetime as compared to traditional genetic algorithm.","PeriodicalId":294210,"journal":{"name":"2016 Ninth International Conference on Contemporary Computing (IC3)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116898636","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: 13

Breaking an image encryption scheme based on chaotic synchronization phenomenon 破解一种基于混沌同步现象的图像加密方案

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880215

Sushmita Singh, Musheer Ahmad, Dhruv Malik

{"title":"Breaking an image encryption scheme based on chaotic synchronization phenomenon","authors":"Sushmita Singh, Musheer Ahmad, Dhruv Malik","doi":"10.1109/IC3.2016.7880215","DOIUrl":"https://doi.org/10.1109/IC3.2016.7880215","url":null,"abstract":"In recent past, Volos et al proposed an image encryption scheme based on true random bits generator in [Signal Processing 93, 1328–1340, 2013]. The TRBG uses two mutually coupled double scroll chaotic systems that are synchronized via complete chaotic synchronization and inverse π-lag synchronization techniques. The numerical simulations demonstrated the effectiveness of chaotic true random bits generator through FIPS-140-2 randomness test suite. The proposed generator is applied with an aim to secure the digital images by framing an image encryption process based on the effective TRBG. The statistical analyses conform to the required encryption standards and quality. But, Volos et al image encryption scheme inherently holds a number of vulnerabilities that make it possible to break the encryption scheme. This paper proposes the break of the Volos et al image encryption scheme by exploiting these vulnerabilities to evidence that their scheme lacks security. It is practically shown by applying the chosen-plaintext and known-plaintext attacks which successfully recovers the plaintext-image from the encrypted image without knowing the secret key. The idea is to show the ineligibility of the encryption scheme for use in practical image security applications.","PeriodicalId":294210,"journal":{"name":"2016 Ninth International Conference on Contemporary Computing (IC3)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116907701","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

Unmasking non-simultaneous sybils in mobile opportunistic networks 揭示移动机会网络中的非同步符号

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880235

Parmeet Kaur, S. Mittal

引用次数: 1

Chaotic Kbest gravitational search algorithm (CKGSA) 混沌Kbest引力搜索算法(CKGSA)

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880252

H. Mittal, Raju Pal, Ankur Kulhari, M. Saraswat

引用次数: 55

Impact of genetic algorithm on time series data 遗传算法对时间序列数据的影响

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880236

Garima Sharma, S. Srivastava

引用次数: 0

A bark recognition algorithm for plant classification using a least square support vector machine 基于最小二乘支持向量机的树皮识别算法

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880233

Luis J. Blaanco, C. Travieso-González, José M. Quinteiro, P. V. Hernández, M. Dutta, Anushikha Singh

引用次数: 6

JIIT-edu: An android application for college faculty JIIT-edu:大学教师的安卓应用程序

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880266

Upanya Singh, Nandini Srivastava, Adarsh Kumar

引用次数: 3

Using dependency graphs to support collaboration over GitHub: The Neo4j graph database approach 使用依赖图来支持GitHub上的协作:Neo4j图数据库方法

2016 Ninth International Conference on Contemporary Computing (IC3) Pub Date : 2016-08-01 DOI: 10.1109/IC3.2016.7880234

R. Arora, S. Goel, R. Mittal

引用次数: 6