2014 IEEE International Conference on Computational Intelligence and Computing Research最新文献_第7页

Lifetime maximization of wireless sensor networks using energy-efficient cluster formation strategy 基于高能效集群形成策略的无线传感器网络寿命最大化

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238327

M. Praveen, T. Senthil

引用次数: 4

Implementation of efficient automatic traffic surveillance using digital image processing 利用数字图像处理实现高效的自动交通监控

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238419

S. Saravanan

{"title":"Implementation of efficient automatic traffic surveillance using digital image processing","authors":"S. Saravanan","doi":"10.1109/ICCIC.2014.7238419","DOIUrl":"https://doi.org/10.1109/ICCIC.2014.7238419","url":null,"abstract":"This paper demonstrates the automated traffic surveillance without any human intervention. The aim of this paper is to detect the traffic density and to work according to the traffic density. The traffic signal is structured with the camera which takes the snap of the road and the density is identified. Hence by this method the traffic is analyzed and the lights are transferred according to the traffic density. The number of objects present in the roads will be identified and those numbers are transmitted to the micro controller. The micro controller controls the traffic signal and the varied time is displayed in the 7 segment display. By this a dynamic approach is being followed to minimize the traffic delay and effectively commute even in heavy traffic scenarios. The primary aim is to eliminate waiting time, during peak hours. Some added advantage that are to be implemented are dealing at the time of unusual situation such as emergency vehicles like ambulances, patrol vehicles, fire engines etc., Time is varied in propotional to the traffic density. Using this model will eliminate unwanted waiting time in peak traffic hours. Single camera is used in determining density of the traffic which will reduce the cost of implementing.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134560550","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

Study and theoretical investigations on PCOS 多囊卵巢综合征的研究与理论研究

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238394

S. Sheela, M. Sumathi

引用次数: 4

Evolutionary genetic algorithm for encryption 加密的进化遗传算法

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238559

W. Alsharafat

引用次数: 3

Design of damping controller for multimachine power system by using simplified swarm optimization 基于简化群算法的多机电力系统阻尼控制器设计

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238398

Baibhav Bishal, B. Soni, Akash Saxena, Vikas Gupta

引用次数: 2

State estimation of a nonlinear system using particle filter 基于粒子滤波的非线性系统状态估计

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238313

K. Anandhakumar, I. Ali, K. Selvakumar, K. Raja

引用次数: 0

Comparative analysis of digital image stabilization by using empirical mode decomposition methods 经验模态分解方法在数字稳像中的应用对比分析

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238284

Neha Kottawar, D. J. Tuptewar

引用次数: 3

Matrix converter based solar photo voltaic system for reactive power compensation using sinusoidal pulse width modulation 基于矩阵变换器的太阳能光伏系统无功补偿采用正弦脉宽调制

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238524

K. Raja, K. Vijayakumar, S. Kannan

{"title":"Matrix converter based solar photo voltaic system for reactive power compensation using sinusoidal pulse width modulation","authors":"K. Raja, K. Vijayakumar, S. Kannan","doi":"10.1109/ICCIC.2014.7238524","DOIUrl":"https://doi.org/10.1109/ICCIC.2014.7238524","url":null,"abstract":"Reactive power is a subject of great concern for the operation of Alternating Current (AC) power systems. It has always been a challenge to obtain the balance between a minimum amount of reactive power flow to maximize capacity for active power flow and a sufficient amount of reactive power flow to maintain a proper system voltage profile. This work mainly deals with the compensation of reactive power by using Solar Photovoltaic Power System. Single-phase matrix converter is used for developing AC voltage. Single-phase matrix converter can be used as a Rectifier and as an Inverter. The same system could be used for real power exchange utilizing free energy (Solar) thus minimizing the utility power supply. Bidirectional energy flow is possible with matrix converter for battery charging. Use of matrix converter improves the quality of output voltage with reduced Total Harmonic Distortion. Sinusoidal Pulse Width Modulation (SPWM) is used for generating pulses to the matrix converter. Digital control of proposed real and reactive power compensation improves the overall efficiency of the system and reliability.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115890353","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

Modeling causally dependent events using fuzzy cognitive maps 使用模糊认知图建模因果依赖事件

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238339

R. Sarala, G. Zayaraz, V. Vijayalakshmi, R. Sivaranjani

{"title":"Modeling causally dependent events using fuzzy cognitive maps","authors":"R. Sarala, G. Zayaraz, V. Vijayalakshmi, R. Sivaranjani","doi":"10.1109/ICCIC.2014.7238339","DOIUrl":"https://doi.org/10.1109/ICCIC.2014.7238339","url":null,"abstract":"The increase in the number of security breaches has made information security risk management an essential security activity for all type of organizations. Risk Management involves assessment involves identification of assets, threats and vulnerabilities. Attacks by outsiders continue to cause the most security breaches to all organizations. Existing approaches like attack graph based risk assessment have scalability issues and focus on only single step attacks. It is very difficult to predict multistep attacks that exploit a chain of vulnerabilities. The multistep attacks are based on the causality of relation where every cause has an effect. Causality refers to a cause i.e. one event and consequences i.e. another event that has occurred because of the cause. The proposed system aims to make use of fuzzy cognitive maps to model the causally dependent events. Fuzzy cognitive map is a concrete representation of knowledge that can handle incomplete or conflicting information. This is very important in risk assessment because important information may be unreliable as they may be a result of unreliable measurement techniques. The proposed system will aid in proactive information security risk assessment.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115983271","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

Energy aware load balancing for computational cloud 计算云的能量感知负载平衡

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238489

A. Florence, V. Shanthi

{"title":"Energy aware load balancing for computational cloud","authors":"A. Florence, V. Shanthi","doi":"10.1109/ICCIC.2014.7238489","DOIUrl":"https://doi.org/10.1109/ICCIC.2014.7238489","url":null,"abstract":"Cloud computing is novel technology, which enables any resource as service on demand. Cloud environment motivates highly dynamic resource provisioning. Hence clients can scale up or scale down their requirements as per their demand. Load balancing is very important and complex problem in cloud environment, because of its heterogeneity of the computing nodes. In order to realize the full potential of cloud computing it is vital to minimize energy consumption along with effective load balancing. The aim of Energy Aware Load Balancing (EALB) model is to minimize energy consumption with load balancing. EALB model classifies the incoming job request either CPU bound or I/O bound according to their purpose and behaviour. This classification details are maintained in a table named Pattern History Table (PHT) and organized as hash table. One of the virtual machine (VM) is selected dynamically based on best fit allocation policy and the job is assigned to the victimized VM. From the pattern history table job's nature is identified. Using Dynamic Voltage Frequency Scaling (DVFS) scheme the selected VM's processor clock frequency is increased if it is found CPU bound else decreased (I/O bound). Thus, EALB algorithm saves considerable amount of energy and proves to be more efficient.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116390529","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