Journal of Electronics and Communication Systems最新文献_第2页

Microcontroller based Automatic Sun Tracking Solar Panel 基于单片机的自动太阳跟踪太阳能电池板

Journal of Electronics and Communication Systems Pub Date : 2022-06-27 DOI: 10.46610/joecs.2022.v07i02.001

T. Tirupal, K. Joshna, M. Laharika, A. Gouthami, M. Lakshmi

引用次数: 1

Mask and Temperature Detection and Automatic Sanitizer dispenser Using Raspberry Pi 使用树莓派的口罩和温度检测以及自动消毒剂分发器

Journal of Electronics and Communication Systems Pub Date : 2021-12-03 DOI: 10.46610/joecs.2021.v06i03.003

Mallikarjun P Y

引用次数: 0

A Modified RSA Algorithm Using Machine Learning and DNA Cryptography Techniques 利用机器学习和DNA密码技术改进的RSA算法

Journal of Electronics and Communication Systems Pub Date : 2021-09-26 DOI: 10.46610/joecs.2021.v06i03.001

L. Kavya, K. Lakshmi

{"title":"A Modified RSA Algorithm Using Machine Learning and DNA Cryptography Techniques","authors":"L. Kavya, K. Lakshmi","doi":"10.46610/joecs.2021.v06i03.001","DOIUrl":"https://doi.org/10.46610/joecs.2021.v06i03.001","url":null,"abstract":"RSA (Rivest Shamir Adleman) is an asymmetric algorithm used for encryption and decryption of data to ensure security through a communication channel. RSA algorithm is preferred over symmetric algorithms as it employs asymmetric keys for encryption and decryption. In this work, RSA optimization is attempted at three stages: key generation, data encryption, and data decryption. Key generation is implemented using the Gradient descent algorithm and Newton's method. Prime numbers required in key generation, data encryption, and data decryption are generated using GPU computations using OpenCL and CPU as the host providing a heterogeneous platform. The second and third stages namely data encryption and data decryption are implemented using the DNA cryptographic techniques and gray coding. The modified RSA designed as depicted above uses a low-key length of 8 bits and is validated for performance through avalanche effect, encryption simulation time, and decryption simulation time. The modified RSA algorithm is further verified by analyzing the chosen ciphertext attack time mathematically for various key lengths from 8 to 2048. The increase in attack time is around 93% for a key length of 8 bits and 78% for 15 bits for a key length of 2048 it increases by 100%.","PeriodicalId":266054,"journal":{"name":"Journal of Electronics and Communication Systems","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132456543","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

Image Feature Synthesis and Matching in Content-Based Image Retrieval System – A Review 基于内容的图像检索系统中图像特征的合成与匹配

Journal of Electronics and Communication Systems Pub Date : 2021-04-21 DOI: 10.46610/joecs.2021.v06i01.003

Ranjana Battur, N. Jagadisha

{"title":"Image Feature Synthesis and Matching in Content-Based Image Retrieval System – A Review","authors":"Ranjana Battur, N. Jagadisha","doi":"10.46610/joecs.2021.v06i01.003","DOIUrl":"https://doi.org/10.46610/joecs.2021.v06i01.003","url":null,"abstract":"One of the important concepts in information & data analytics is the content-based image retrieval process. We are living in the information age. In the modern-day digital information technology imaging world, this is playing a predominant role in different sectors ranging from defense to research fields. Content-based image retrieval, also known as query by image content is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images or textual matters in large databases. The usage of digital images has been increased enormously from the last decade due to the drastic growth in storage & network technology. These technological changes have led professional users to use, store and manipulate remotely stored images. Information Retrieval (IR) deals with the location and retrieval of related documents or images based on user inputs such as keywords or examples as a query from the repository. This has motivated us to take up the research work on the CBIR concepts. Hence, to throw light into this chosen research topic, we are carrying out extensive research on the image feature synthesis and matching in content-based image retrieval systems using the concepts of AI, ML & Fuzzy Logic schemes, which could be used to improve the retrieval system's performance in CBIRs. A brief survey, i.e., an insight into the chosen research area in the field of content-based image retrievals was made & the same is being presented w.r.t. the work done by various researchers across the globe in the form of an extensive literature review. The work done by them was studied, lacunas observed & the problem was defined with a couple of good objectives to be solved four objectives were proposed as O1 - Investigation of the effectiveness of evolutionary computation in generating composite operator vectors for image, so that feature dimensionality is reduced to improve retrieval performances; O2 - Construction of the image-leve","PeriodicalId":266054,"journal":{"name":"Journal of Electronics and Communication Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126473852","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

Design of Helical Antenna for IRNSS Applications 用于IRNSS的螺旋天线设计

Journal of Electronics and Communication Systems Pub Date : 2020-05-29 DOI: 10.46610/joecs.2020.v05i02.004

M. Jyothirmai, M. Jyothi

引用次数: 0