2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)最新文献_第8页

Automatic Human Emotion Recognition System using Facial Expressions with Convolution Neural Network 基于卷积神经网络的人脸表情自动识别系统

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297483

Ram Kumar Madupu, Chiranjeevi Kothapalli, Vasanthi Yarra, S. Harika, C. Z. Basha

引用次数: 12

Machine Learning based Digital Beamforming for Line-of-Sight optimization in Satcom on the Move Technology 基于机器学习的移动卫星通信视距优化数字波束形成技术

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297645

Arushi Singh, M. Jayakumar

{"title":"Machine Learning based Digital Beamforming for Line-of-Sight optimization in Satcom on the Move Technology","authors":"Arushi Singh, M. Jayakumar","doi":"10.1109/ICECA49313.2020.9297645","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297645","url":null,"abstract":"With the evolving communication systems, the need for beamforming to improve the gain of the transmitting or receiving antenna has also increased. Beamforming allows to direct the radiated energy with the intended choice of direction efficiently. The main focus of this work is to develop an effective method for beamforming at the receiver side antennas for deploying Line-of-Sight (LOS) communication in Satellite Communication (Satcom) by using machine learning algorithms to detect signals as accurately as possible and to reduce the time taken to steer the beam as well as complexity of operations if a standard beamforming algorithm was used. To implement this, the antenna array weights are pre-calculated for a number of beam directions and kept as a database which are given to a linear regression machine learning model. The signal weights that are calculated for each array element by using their progressive measured phase difference is due to the arriving signal, that are given as input to a linear regression model and the direction of arrival (DOA) of the signal is predicted. The curve fitted linear regression model can be implemented in real-time geostationary satellite communication systems to accurately intercept the signal of interest.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127066255","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

Automated Vehicle Number Plate Recognition System using Stability Score and K-Means Clustering Algorithm 基于稳定性评分和k均值聚类算法的车牌自动识别系统

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297428

B. Dhanalakshmi, R. Ramesh, D. Raguraman, R. Menaka

{"title":"Automated Vehicle Number Plate Recognition System using Stability Score and K-Means Clustering Algorithm","authors":"B. Dhanalakshmi, R. Ramesh, D. Raguraman, R. Menaka","doi":"10.1109/ICECA49313.2020.9297428","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297428","url":null,"abstract":"Due to the increase in vehicle usage, itis a challenging task to monitor, analyze the vehicles by a human for security purposes. There is a need for an automatic vehicle recognition system since various places nowadays have checkpoints for vehicles, to track the stolen vehicles, and to monitor traffic violations. The problem exists when the vehicle number plate is encountered in different formats, different scales, and illumination to number-plates. In the case of an indeterminate situation, identifying vehicle number plates in poor lighting conditions and worse traffic situations can be analyzed using an automatic vehicle number plate recognition system. The vehicle name board edge finding techniques are used to easily identify the vehicle number in the name board. A dataset with 200 license plates has been collected as training datasets for recognition, estimation, and identification, thus improving system accuracy of recognition when compared to existing works. The training input samples include images of vehicle number plates taken from the traffic department. The automated vehicle number recognition system is improvised in terms of accuracy by estimating stability score and using the k-means clustering algorithm.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127415646","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

Cluster Head and Optimal Path Slection Using K-GA and T-FA Algorithms for Wireless Sensor Networks 基于K-GA和T-FA算法的无线传感器网络簇头和最优路径选择

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297535

M. Ram, Kuda Nageswara Rao, S. J. Basha, S. S. Reddy

{"title":"Cluster Head and Optimal Path Slection Using K-GA and T-FA Algorithms for Wireless Sensor Networks","authors":"M. Ram, Kuda Nageswara Rao, S. J. Basha, S. S. Reddy","doi":"10.1109/ICECA49313.2020.9297535","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297535","url":null,"abstract":"Wireless Sensor Network (WSN) is a system with huge number of sensors connected to one another by placing them in a specific area. Different issues with WSN includes (but not limited to) the coverage, network lifetime and aggregation. The lifetime of a network can be improved by the clustering with the reduction of energy consumption. Clustering will group the related type of sensors into a single place with a head sensor node for message aggregation and transmission between other nodes and Base Station (BS). The cluster head (CH) consume more energy, when aggregating and transmitting the data. With the suitable identification of CH, there will be a reduction in the consumption of energy and improves the life of Wireless Sensor Network to be more. This paper modifies the meta-heuristic algorithms for improving the network lifetime by choosing appropriate cluster head and optimal path. K-Genetic Algorithm (K-GA) is proposed for efficient cluster head selection. Initially, the sensors are clustered using k-means clustering based on their location and Genetic Algorithm has been applied to detect the best cluster head. For secure optimal routing, Trust based Firefly (T-FA) path selection algorithm is used. Extensive simulations are conducted on various circumstances. The results obtained on the simulation indicates that the proposed K-GA helps in determining the optimized head of the cluster and T-FA discovers the optimal paths which enriches the life of the network by reducing end-to-end delay compared to other techniques.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127437727","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: 2

Design and Analysis of Cascaded Buck-Boost Zeta (BBZ) Converter for Improved Efficiency at High Output Voltage 用于提高高输出电压效率的级联Buck-Boost Zeta (BBZ)变换器的设计与分析

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297581

M. Rahman, Md Saif Kabir, Md Nazaf Rabbi, Mohammad Hashib Sarker, Ishmam Ahmed Chowdhury, Golam Sarowar

引用次数: 0

Comparative Study of Apache Pig & Apache Cassandra in Hadoop Distributed Environment Apache Pig与Apache Cassandra在Hadoop分布式环境下的比较研究

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297532

Y. Gupta, Tanusha Mittal

引用次数: 1

AI-Based Techniques for Real-Time Face Recognition-based Attendance System- A comparative Study 基于人工智能的实时人脸识别考勤系统的比较研究

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297643

P. Pattnaik, Kalyan Kumar Mohanty

引用次数: 8

City Brand Image Building Strategy Based on Interactive Data Mining and Visual Saliency 基于交互式数据挖掘和视觉显著性的城市品牌形象塑造策略

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297404

Sining Hua

引用次数: 0

Hybrid Computerized Face Recognition System Using Bag of Visual Words and MLP-Based BPNN 基于视觉词袋和基于mlp的bp神经网络的混合计算机人脸识别系统

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297499

L. Rao, Coneri Harshitha, C. Z. Basha, Nazia Parveen

引用次数: 1

Decision Making Method ETOP for Handoff in Cognitive Radio Network 认知无线网络切换决策方法ETOP

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297548

R. Prasad, T. Jaya

引用次数: 0