2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)最新文献_第9页

Study and Simulation of Five-Story Elevator Controller Using VHDL 基于VHDL的五层电梯控制器研究与仿真

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862702

Tanvi Palekar, Rinitha Tesa Jose, Gandhali Nanche, Rashmi P. Joshi

{"title":"Study and Simulation of Five-Story Elevator Controller Using VHDL","authors":"Tanvi Palekar, Rinitha Tesa Jose, Gandhali Nanche, Rashmi P. Joshi","doi":"10.1109/ICOEI.2019.8862702","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862702","url":null,"abstract":"Modern technological advancements call for efficient usage of space. Connectivity is often achieved in high rise buildings with the help of conventional staircases, or escalators and most commonly used - elevators. Elevators are used on a daily basis in a wide variety of applications worldwide. The basic mechanism used in an office elevator is also used in dumbwaiters. This work shows the study and simulation of one such application - a five-story elevator controller. A Field Programmable Gate Array (FPGA) has been used in this project due to its re-programmability, reusability, and faster and less expensive prototyping. The elevator controller system uses a Finite State Machine (FSM) to take floor inputs from inside the elevator and up and down calls from outside the elevator, to determine the movement of elevator from current state to the desired next state. States have been defined floor wise, depending on whether the elevator doors are to be opened or closed. Sensors are used to improve the reliability and safety of the elevator by positioning it appropriately. This elevator controller system has been successfully implemented on Xilinx Zynq - 7000 FPGA using Very High Speed Integrated Circuit Hardware Description Language (VHDL).","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126364594","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: 1

Variants of phishing attacks and their detection techniques 网络钓鱼攻击的变体及其检测技术

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862697

G. Jaspher Willsie Kathrine, P. M. Praise, A. Amrutha Rose, Eligious C Kalaivani

引用次数: 18

Efficiency enchancement of Class-E power amplifier in VHF radio frequency spectrum for land mobile radio system 陆地移动无线电系统甚高频频谱e类功率放大器效率的提高

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862607

A. Aruna, K. J. Kumar

{"title":"Efficiency enchancement of Class-E power amplifier in VHF radio frequency spectrum for land mobile radio system","authors":"A. Aruna, K. J. Kumar","doi":"10.1109/ICOEI.2019.8862607","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862607","url":null,"abstract":"Land Mobile Radios (LMR) are used by various emergency organizations such as military, fire and ambulance services. The main function of LMR is to transmit voice over a selective range of radio frequency and they are mostly battery operated. Power amplifier (PA) circuit of LMR has drawn a major concern from engineers because they consume enormous power from battery. More research is conducted on PA to find solutions for improving Power Added Efficiency (PAE). PAE represents a figure of merit that economically shows how efficiently the PA converts RF power to DC power. With PAE parameter increased the device can be able to produce output the same amount of power with less DC power consumed. Class-E power amplifier desires the most attention among different classes of PA from engineers because of their ability of providing high PAE and more harmonic suppression. In this paper, Advance Design System (ADS) software is used for designing and simulation. Class-E PA is designed, harmonics are suppressed at the output. The final design operates at the frequency range of 136-174MHz with PAE of 92.39% by delivering 28.75dBm output power and the effectiveness of Class-E PA is boosted to suppress second order harmonics by 91.675dBc.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124181076","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

Review on Finding Dominance on Incomplete Big Data 不完全大数据寻找优势研究综述

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862597

Anu V Kottath, Prince V Jose

引用次数: 0

Dynamic Software Component Authentication for Autonomous Systems using Slack space 基于Slack空间的自治系统动态软件组件认证

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862570

Pavan Sai Beri, Arun Mishra

引用次数: 0

Student Monitoring System for School Bus Using Facial Recognition 基于人脸识别的校车学生监控系统

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862534

C. James, David Nettikadan

{"title":"Student Monitoring System for School Bus Using Facial Recognition","authors":"C. James, David Nettikadan","doi":"10.1109/ICOEI.2019.8862534","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862534","url":null,"abstract":"Recent reports confirm the fact that school students are the most vulnerable to social crimes happening across the globe and our country too. Many of these cases happen during their ply from their residence to school and vice versa. In multiple cases these social crimes including sexual harassment happened in their school bus itself. Considering this serious situation, we are proposing a real time monitoring system using image processing techniques. — Identifying a student with an image has been popularized through the mass media like camera. This system monitors the images inside the vehicle and identifies the students and their movements inside the bus. The system recognizes the student faces and their count are also monitored. The system will also raise an alarm to get the attention of the public if it is so essential. Technologies are available in the Open-Computer-Vision (OpenCV) library and implement those using Python. For face detection, Haar-Cascades classifier was used and for face recognition Eigenfaces, and Local binary pattern histograms were used. each stage of the system described by some flowcharts. And also face recognition used in automation attendance system which eliminates most of the drawbacks that the manual attendance systems pose, easy manipulation of attendance records, proxy-attendances, and insecure system.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128978565","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

Breast Cancer Prediction via Machine Learning 通过机器学习预测乳腺癌

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862533

Mamatha Sai Yarabarla, L. Ravi, A. Sivasangari

引用次数: 29

A Honeypot with Machine Learning based Detection Framework for defending IoT based Botnet DDoS Attacks 基于机器学习的蜜罐检测框架，用于防御基于物联网的僵尸网络DDoS攻击

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862720

Ruchi Vishwakarma, A. Jain

引用次数: 66

Histogram based automatic noisy band removal for remotely sensed hyperspectral images 基于直方图的遥感高光谱图像噪声自动去噪

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862612

Devi Archana Kar, R. Patro, Subhashree Subudhi, P. Biswal

{"title":"Histogram based automatic noisy band removal for remotely sensed hyperspectral images","authors":"Devi Archana Kar, R. Patro, Subhashree Subudhi, P. Biswal","doi":"10.1109/ICOEI.2019.8862612","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862612","url":null,"abstract":"For accurate classification of remote sensing data, Hyperspectral Images (HSI) have become very popular. It can capture the reflected electromagnetic spectrum from the object in several contiguous spectral bands. But processing of hundreds of bands is computationally expensive and also it contains several noisy and redundant bands. Often the water absorption bands are manually removed by the researchers in advance. In this work, a histogram based automatic noisy band removal algorithm is developed for the HSI. This algorithm can be used as a preprocessing step prior to hyperspectral image classification. At first, by using the histogram information, noisy bands are removed. Next, after obtaining the desired number of non-noisy bands, a Gaussian Filter is applied on obtained bands to extract spatial-spectral features. Finally, to evaluate the algorithm, classification is performed using a SVM classifier. For experimental validation of results, Indian Pines and Salinas datasets are used. The obtained result clearly reveals the effectiveness of the proposed automatic noisy band removal algorithm.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116676155","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: 1

Accuracy Prediction for Distributed Decision Tree using Machine Learning approach 基于机器学习方法的分布式决策树精度预测

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862580

S. Patil, U. Kulkarni

引用次数: 29