2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第3页

Design And Implementation of Low Power Phase Frequency Detector For Phase Lock Loop 锁相环低功率鉴相器的设计与实现

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-27 DOI: 10.1109/ICCMC.2019.8819745

Kruti P. Thakore, Kehul A. Shah, N. M. Devashrey

引用次数: 4

Novel Approach for Image Text Recognition and Translation 图像文本识别与翻译的新方法

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-27 DOI: 10.1109/ICCMC.2019.8819784

Srinandan Komanduri, Y. Roopa, M. Madhu Bala

引用次数: 3

Big Data Analytics Technique in Cyber Security: A Review 网络安全中的大数据分析技术综述

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-27 DOI: 10.1109/ICCMC.2019.8819634

Neha Srivastava, Umesh Chandra Jaiswal

引用次数: 8

Bandwidth enhancement of a rectangular inset-fed micro-strip patch antenna with DGS for ISM band 带DGS的ISM波段矩形插入式微带贴片天线的带宽增强

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-27 DOI: 10.1109/ICCMC.2019.8819843

Vikram Reddy Anapana, N. Priyanka, Vajrapu Prem Sai

引用次数: 0

Portable Weather Station Using GUI 使用GUI的便携式气象站

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819651

Vijayalaxmi Kadrolli, Karuna Melge, Yogita Kamane, Pranali Gaikwad, Rushikesh Sangle

引用次数: 1

Design and Development of a IoT based Flexible and Wearable T-Shirt for Monitoring Breathing Rate 基于物联网的柔性可穿戴呼吸频率监测t恤的设计与开发

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819764

Harini Balasubramaniyam, M. Vignesh, Esther Florence S, Abhirami A, Abanah Abanah

引用次数: 3

Classification of Faults in a Wind Connected Power System Using Artificial Neural Network 基于人工神经网络的风电系统故障分类

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819675

Riti P. Nanda, Debasmita Bisoi, Abhimanyu Behera, B. Panigrahi, Arpan K. Satapathy

{"title":"Classification of Faults in a Wind Connected Power System Using Artificial Neural Network","authors":"Riti P. Nanda, Debasmita Bisoi, Abhimanyu Behera, B. Panigrahi, Arpan K. Satapathy","doi":"10.1109/ICCMC.2019.8819675","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819675","url":null,"abstract":"The transmission lines are used to supply electrical power from source to load and distribution network is used to distribute the transmitted power among the load. During the distribution of electrical power, different types of conductors, insulators, circuit breakers and relays are used for the protection. Demand for electrical power is increasing day by day. So to increase electrical power generation, different types of Distribute generators are used like solar, wind, tidal, etc. In this work, the wind farm is connected to the grid via long transmission networks. As the complexity increases, probability of fault occurrence increases, which will hamper the consumer service. Concern to the consumer satisfaction, faults should be cleared first. The detection technique should be accurate and intelligent so that it can clear the fault. Artificial neural network technique is an intelligent tool which can clear the fault. In this work, classification of fault is done using ANN in the model. Modeling is done in MATLAB and SIMULINK. The voltage signal is extracted and was given to the ANN as input. The voltage signal is trained and tested with accuracy.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114164596","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

Building a Single Page Application Web Front-end for E-Learning site 为电子学习网站构建单页应用程序Web前端

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819703

Smita R. Deshmukh, D. Mane, Abhijeet Retawade

引用次数: 5

Simulation and Analysis of Multilevel Inverter Based Solar PV System 基于多电平逆变器的太阳能光伏系统仿真与分析

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819742

Shubham R. Aute, S. Naveed

引用次数: 2

Short Term and Long Term Path Loss Estimation in Urban, SubUrban and Rural Areas 城市、郊区和农村地区的短期和长期路径损失估算

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819842

C. Kumari, Padamvathi Kora, K. Meenakshi, S. K

{"title":"Short Term and Long Term Path Loss Estimation in Urban, SubUrban and Rural Areas","authors":"C. Kumari, Padamvathi Kora, K. Meenakshi, S. K","doi":"10.1109/ICCMC.2019.8819842","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819842","url":null,"abstract":"Planning and performance of any wireless channel in different environment is analysed by the path loss prediction models. In this paper the path-loss between the Base-Station (BS) and Mobile-Station (MS) for the Received-Signal-Strength (RSS) in different wireless environments is estimated. Non-isotropic antennas are used with different transmitter and receiver gains. A mathematical expression is proposed to compute path loss with antenna gains of 0.5 and 1 by varying the distance up to 1km. Then the path loss is optimized by introducing the path loss component that varies with environment. The path loss component is varied from 2 to 6. The shadowing effect is modelled by log-distance method. In this paper Gaussian random variable is considered with a mean zero and standard deviation is taken as 3dB. Simulation results show the path loss component increases by increasing the gain of antenna. The path loss is also calculated by IEEE 802.16d model and Hata-model. It is observed that as the gain of antenna decreases the path-loss increases and vice-versa. Path-loss also increases by distance and shadowing effects.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129528762","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