2017 International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第8页

Cascade control system and control strategies 串级控制系统及控制策略

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282598

Smriti Goswami, S. S. Khairnar

引用次数: 1

Punjabi document classification using vector evaluation method 旁遮普语文献分类的向量评价方法

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282606

Mehak Katnoria, Varinderpal Singh, Rajiv Kumar

引用次数: 5

Design and implementation of sensorless vector control of induction motor drive using fuzzy-adaptive controller 基于模糊自适应控制器的感应电机无传感器矢量控制的设计与实现

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282699

Chetan M. Rajgire, M. N. Wankhede, Sushil Karvekar

引用次数: 1

An efficient implementation of enhanced key generation technique in data encryption standard (DES)algorithm using VHDL 基于VHDL的数据加密标准(DES)算法增强密钥生成技术的高效实现

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282600

Punam Chabukswar, Manoj Kumar, P. Balaramudu

引用次数: 5

Hyper elliptic curve cryptography in multi cloud-security using DNA (genetic) techniques 使用DNA(遗传)技术的超椭圆曲线密码在多云安全中的应用

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282604

S. Selvi, M. Gobi, M. Kanchana, S. F. Mary

{"title":"Hyper elliptic curve cryptography in multi cloud-security using DNA (genetic) techniques","authors":"S. Selvi, M. Gobi, M. Kanchana, S. F. Mary","doi":"10.1109/ICCMC.2017.8282604","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282604","url":null,"abstract":"The security concerns would be still there in cloud frameworks. Cryptography comprises of the encryption-decryption systems. There are many plans, calculations those can be utilized for security purposes. Cloud computing has an extraordinary capacity to help efficiency and limit costs, consequently many organizations are grasping it, however in the meantime it constitutes numerous security dangers and difficulties. Because of conceivable outcomes of numerous dangers, for example, benefit blackout, robbery of information, information spillage and the odds of noxious insider assault, utilizing single cloud is getting to be noticeably repulsive by many organizations and new thought of Multi-Clouds use is getting to be noticeably recognizable to adapt to these security issues. DNA is currently for the most part a hypothetical idea however in the event that executed in future would be giving most solid and secure framework. In this paper it has been recommended that The hyper Elliptical curve points are mixed with DNA cryptographic calculations which are received for the enhancement of security methodology of utilizing DNA based cryptography and it guarantees secure information stockpiling on Multi-Clouds.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133453134","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: 9

A literature survey on RF MEMS packaging 射频MEMS封装的文献综述

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282565

Rahul Agrawal, Priyanka Shah

引用次数: 0

Conceptual view of the iris recognition systems in the biometric world using image processing techniques 虹膜识别系统的概念视图在生物识别领域使用图像处理技术

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282623

N. Jagadeesh, C. M. Patil

引用次数: 3

Novel harmonic elimination technique for cascaded H-bridge inverter using sampled reference frame 基于采样参考系的级联h桥逆变器谐波消除新技术

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282626

S. Veerakumar, S. Sathishkumar, K. Kannan

引用次数: 8

State estimation and total transfer capability calculation in deregulated power system 无调节电力系统状态估计与总传输能力计算

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282568

S. Nayak, Swasti Bachan Panda, S. Das Mohapatra

{"title":"State estimation and total transfer capability calculation in deregulated power system","authors":"S. Nayak, Swasti Bachan Panda, S. Das Mohapatra","doi":"10.1109/ICCMC.2017.8282568","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282568","url":null,"abstract":"In a deregulated power system both the quality and amount of power transfer increases. The main challenges in deregulated environment for the utility centers are to update or maintain the reliability and security of the utility regions. By sharing the information about different states of the system, is a way to overcome these limitations, among different utilities. The utilities get an overall picture of the entire system with the information get from Total Power Transfer Capability (TTC) and State Estimation of the power network. It should be taken care that the combined effects of power transfer due to different estimations and power transfer capabilities may not tend to a system blackout, failure of equipment and overloading problems. State Estimation (SE) used to estimate new error case state variables after a certain random error occurs in the power system due to contingency and Continuous Power Flow method is chosen for the calculation of TTC. In this study we have used this technique for testing IEEE 30 bus test system and a brief comparative study is done among different cases of the system.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115562939","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

Bayesian linear discriminant analysis with hybrid ABC-PSO classifier for classifying epilepsy from EEG signals 基于ABC-PSO混合分类器的贝叶斯线性判别分析

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282613

H. Rajaguru, S. Prabhakar

{"title":"Bayesian linear discriminant analysis with hybrid ABC-PSO classifier for classifying epilepsy from EEG signals","authors":"H. Rajaguru, S. Prabhakar","doi":"10.1109/ICCMC.2017.8282613","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282613","url":null,"abstract":"One of the serious neurological disorders affecting millions of people in the world is epilepsy. Epilepsy is a disease of the brain where the neurons behave in an abnormal fashion thereby leading to seizures. To monitor the activities of the brain, Electroencephalography (EEG) signals play a vital role especially for the analysis and diagnosis of epilepsy. The neurophysiologist visually examines the signals of the brain for the identification of epileptic seizures and abnormalities in it. It is quite a difficult procedure because of its prolonging time consumption and erroneous decisions made by humans and so automatic seizure detection and classification systems came into existence. In this paper, the epilepsy classification was done in two stages, firstly with Bayesian Linear Discriminant Analysis (BLDA) and the output obtained from it is further optimized and classified with Hybrid Artificial Bee Colony - Particle Swarm Optimization (ABC-PSO) classifier. Results show that an average classification accuracy of 94% is obtained when classified with BLDA classifier and on further optimization and classification, an average classification accuracy of 97.91% is obtained when classified with ABC-PSO classifier.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115933910","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