2017 International Conference on Computing, Communication and Automation (ICCCA)最新文献_第5页

Predictive controlled SMES for frequency control of hybrid wind-diesel standalone system 预测控制的中小型混合动力系统频率控制

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8230059

M. Mufti, M. Y. Zargar, S. A. Lone

引用次数: 6

Energy efficient delay tolerant network routing protocols: A comparative study 高能效容延迟网络路由协议的比较研究

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229871

Savita

{"title":"Energy efficient delay tolerant network routing protocols: A comparative study","authors":"Savita","doi":"10.1109/CCAA.2017.8229871","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229871","url":null,"abstract":"One of the prominent problems of the Delay Tolerant Networks (DTNs) is the high delay occurring in the message delivery. As there is absence of complete path from source to destination in the network, these networks are often susceptible to high delays. In DTNs, one of the primary objective is to establish end-to-end communication path between the nodes in the heterogeneous environment e Factors such as discharge of batteries and link failure lead to frequent disconnection in these networks. The amount of energy dissipated in the network is highly dependent on the message routing and node mobility. Therefore, developing an energy efficient routing protocol is a key issue in DTNs. A plethora of routing algorithms for DTNs is developed, but only few of them take energy constraint into consideration. The challenge to maintain the high reliability of network in the presence of frequent topology changes in DTNs has garnered immense interest from the researchers to further explore the area. This article reviews the some of the state-of-the-art routing protocols of the DTNs. We have also compared the performance of these algorithms in the light of energy consumption.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90388562","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: 3

Enhancing K means by unsupervised learning using PSO algorithm 利用粒子群算法通过无监督学习增强K均值

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229805

Aishwarya Gupta, Vishwajeet Pattanaik, Mayank Singh

{"title":"Enhancing K means by unsupervised learning using PSO algorithm","authors":"Aishwarya Gupta, Vishwajeet Pattanaik, Mayank Singh","doi":"10.1109/CCAA.2017.8229805","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229805","url":null,"abstract":"Data Clustering in Data Mining is a domain which never gets out of focus. Clustering a data was always an easy task but achieving the required accuracy, precision and performance was never so easy. K means being an archaic clustering algorithm got tested and experimented thousands of times with variety of datasets and other combination of algorithm due to its robustness and simplicity but what this algorithm proposed was not suggested before. It used K means algorithm for the evaluation and validation purposes whereas optimization of the data is done with the help of Particle Swarm Optimization Algorithm. The drawbacks of K means mainly its local convergence property and initializing number of clusters at an early stage has aroused the process of working on this algorithm. So, for attaining the global convergence the Swarm Intelligence is preferred over Genetic Algorithm and many other techniques and for the latter one we combined two functions one of them helps in knowing the number of clusters which are optimal for the particular dataset and the other one validates the results using another function and compares the various metrics which will define the goodness and fitness of an algorithm. In one line the complete overview of the proposed algorithm can be described as ‘Evaluating the data using an Evalcluster Function, performing Validation with the help of an Evaluate Function of the K means and giving the final touch of Optimizing the data by K means PSO Algorithm’. The algorithm is tested for over 4 datasets available in UCI Repository and the results were unexpectedly great.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90405569","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: 6

Container-based microservice architecture for cloud applications 用于云应用程序的基于容器的微服务架构

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229914

V. Singh, S. K. Peddoju

{"title":"Container-based microservice architecture for cloud applications","authors":"V. Singh, S. K. Peddoju","doi":"10.1109/CCAA.2017.8229914","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229914","url":null,"abstract":"Cloud Environment allows enterprises to scale their application on demand. Microservice design is a new paradigm for cloud application development which is gaining popularity due to its granular approach and loosely coupled services unlike monolithic design with single code base. Applications developed using microservice design results in better scaling and gives extended flexibility to the developers with minimum cost. In this paper, first, different challenges in deployment and continuous integration of microservices are analyzed. To overcome these challenges, later, an automated system is proposed and designed which helps in deployment and continuous integration of microservices. Containers are recently heavily used in deploying the applications as they are easy to manage and lightweight when compared to traditional Virtual Machines (VMs). We have deployed the proposed microservices architecture on the docker containers and tested using a social networking application as case study. Finally, the results are presented and the performance of monolithic and microservice approach is compared using various parameters such as response time, throughput, deployment time etc. Results show that application developed using microservice approach and deployed using the proposed design reduce the time and effort for deployment and continuous integration of the application. Results also shows that microservice based application outperform monolithic design because of its low response time and high throughput.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73065072","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: 66

Energy efficient routing protocol for linear wireless sensor network 线性无线传感器网络的节能路由协议

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229892

Abhijeet Das, A. Swaroop

引用次数: 1

Classification of EEG signals using empirical mode decomposition and lifting wavelet transforms 基于经验模态分解和提升小波变换的脑电信号分类

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229980

Jatin Sokhal, B. Garg, S. Aggarwal, Rachna Jain

{"title":"Classification of EEG signals using empirical mode decomposition and lifting wavelet transforms","authors":"Jatin Sokhal, B. Garg, S. Aggarwal, Rachna Jain","doi":"10.1109/CCAA.2017.8229980","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229980","url":null,"abstract":"The electroencephalogram (EEG) signals are a sturdy tool for tracing brain variations during different periods of life, also it plays a prominent and considerable role in the diagnosis of various diseases. In our previously published papers [1-8] we have worked on diverse problems that can be analyzed by neural networks. In this paper, we have chosen EEG signals due to its increase its application in Motor Learning predicaments. EEG recordings complied and manifold over the duration of an elongated time frame encompasses an enormous quantum of EEG data. The study of signals and decomposition of these signals activity contribute a way to diminish the computational cost and emend the enforcement of the classifiers. We have proposed a unique classification of signals in which we have used empirical mode decomposition and variety of lifting wavelet transform schemes for the compression of signals. The procedure for making a resolution contains four stages: (a) extraction of the signals, (b) signal preprocessing and filtering,(c) compression using Empirical mode decomposition or lifting wavelet Transform schemes and (d) classification using artificial neural network enforcement. The outcomes contributed the fact that there exists ability in the proposed algorithm for the classification of EEG signals.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74717663","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

Comparative study of rate of convergence & complex dynamics of trigonometric functions using Jungck Ishikawa iteration scheme 用Jungck Ishikawa迭代方案求解三角函数的收敛速度与复动力学的比较研究

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229800

S. Pant, Y. S. Chauhan, K. Singh, J. N. Singh

引用次数: 0

Design of an accurate pedestrian detection system using modified HOG and LSVM 基于改进HOG和LSVM的精确行人检测系统设计

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229945

Reema Kalshaonkar, S. Kuwelkar

引用次数: 2

Securing the Internet of Things: A proposed framework 保护物联网:一个拟议的框架

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8230015

Komal Jaswal, T. Choudhury, Roshan lal Chhokar, Sooraj Randhir Singh

引用次数: 83

Threshold modeling for cellular logic array processing based edge detection algorithm 基于元胞逻辑阵列处理的阈值建模边缘检测算法

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229972

Surender Singh, A. Prasad, Kingshuk Srivastava, Suman Bhattacharya

{"title":"Threshold modeling for cellular logic array processing based edge detection algorithm","authors":"Surender Singh, A. Prasad, Kingshuk Srivastava, Suman Bhattacharya","doi":"10.1109/CCAA.2017.8229972","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229972","url":null,"abstract":"Edge detection is one of the basic methods for various image processing functions such as image analysis, image segmentation, pattern recognition etc. This is a process to find out discontinuity of intensity in image. If some or all neighboring pixels form a convex region of same gray level intensity, then there exists an edge. In order to distinguish between different level of intensities in edge detection, a threshold is required which is usually different for different type of images due to variation in level of intensities. This paper proposes and compares two methods namely global and local thresholding to model the value of threshold through quantitative empirical method for cellular logic array processing based edge detection method. The performance of the modeled algorithms is measured by F1-score, recall-precision break-even-points and performance ratio. Experimental results show that the local thresholding approach gives slightly better F1-score and performance ratio for all scenarios of six Berkeley Segmentation Database images and respective ground truths. It has also been found that best percentage of threshold value can be determined in a better way by break-even-point rather than by best F1-score. The proposed approach reduces false edge detection and make threshold selection automatic for every scenario.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74393821","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