2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)最新文献

筛选
英文 中文
Design and Implementation Secure Hash Algorithm 3 (SHA-3) using FPGA 基于FPGA的安全散列算法3 (SHA-3)的设计与实现
Ali Hussein Jasim, D. Hammood, Ali J. Al-Askery
{"title":"Design and Implementation Secure Hash Algorithm 3 (SHA-3) using FPGA","authors":"Ali Hussein Jasim, D. Hammood, Ali J. Al-Askery","doi":"10.1109/ICAECT57570.2023.10117657","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117657","url":null,"abstract":"In this moment the world an instant communication technology, security has become extremely significance factor. It is crucial in system with communication fields that the cryptograph mechanism is intricated. The procedures intricate the creation of a hash function, that is a one-way encrypted code used in data security. The most common examples the Digital signatures, the MAC (message authentication codes), with the smart cards. Secure Hash Algorithm (SHA-3) is a new typical cryptograph Keccak hash function that is not vulnerable for the attacks. In this paper, we presented software simulation for optimization techniques on Keccak SHA-3 algorithm using the (VHDL) programming language with the output length for the Keccak hash function is (256). And the design as simulation was implemented on FPGA. implementation procedure is quick with the efficient ratio. algorithm's goals are to increase throughput and decrease area.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130406882","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
Ischemic Heart Disease Prediction Using Machine Learning and Deep Learning Techniques 利用机器学习和深度学习技术预测缺血性心脏病
K. L. Chowdary, B. Akhil, Tummala Sai Lasya, G. Kalyani
{"title":"Ischemic Heart Disease Prediction Using Machine Learning and Deep Learning Techniques","authors":"K. L. Chowdary, B. Akhil, Tummala Sai Lasya, G. Kalyani","doi":"10.1109/ICAECT57570.2023.10117737","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117737","url":null,"abstract":"To have control over heart patient health, we need a capable detector which finds out based onhealth records. The idea is to work on coronary artery disease (CAD), which has been the majorhealth issue at present. We took a data set to train our system (machine learning algorithm) towork on the CAD and identify the user's health stage and provide the required information. Asper previous analysis, we got accuracy of 96% now with a minor modification we are trying to impact the accuracy. CAD has been the major health disease that is leading to death in world at present after COVID19, it is causing 33% of death rate by a survey by WHO. So, it is essentialto overcome the disease with proper analysis and prevention, which is all about our project. We are trying to make healthcare handy such that a person that analyze and know about his/her health condition from anywhere and at any time regardless of working hours.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128003276","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
Person Re-identification from Video using Hybrid Approach 基于混合方法的视频人物再识别
Aman Nawaz Manjith, S. Karthick, Vikranth Bandaru
{"title":"Person Re-identification from Video using Hybrid Approach","authors":"Aman Nawaz Manjith, S. Karthick, Vikranth Bandaru","doi":"10.1109/ICAECT57570.2023.10118106","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118106","url":null,"abstract":"Because of advances in technology, it is now feasible to employ massive picture collections for a variety of purposes. This trend is expected to continue. The process of maintaining and recovering face data from a video may be improved with the use of the person reidentification approach. In order to scan and collect the photos, machine learning methods such as OpenCV are used. The goal of this phase is to split the picture into components or areas of interest for the purpose of conducting a more in-depth examination of one or more of these parts. For the purpose of carrying out face detection, the Haar Cascade algorithm is being evaluated for the project. Image processing is the primary use of OpenCV, which is a library of programming functions. Picture segmentation may also be employed as a preprocessing step in order to produce a superior image before moving on to denoising or deblurring, both of which can be accomplished in a subsequent phase of image processing. When it comes to retrieving information, some of the most crucial features are feature extraction, image representation, and image matching. Picture processing is done with the intention of assisting a computer in comprehending the subject matter of an image.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121936310","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
Prediction Analysis of Hypothyroidism by Association 甲状腺功能减退症的关联预测分析
Binju Saju, V. Asha, Arpana Prasad, Varshitha A, Abhishek S, S. Sreeja
{"title":"Prediction Analysis of Hypothyroidism by Association","authors":"Binju Saju, V. Asha, Arpana Prasad, Varshitha A, Abhishek S, S. Sreeja","doi":"10.1109/ICAECT57570.2023.10117641","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117641","url":null,"abstract":"According to clinical data, ‘1 in 10’ Indians suffer from thyroid disease. Hypothyroidism / Hypothyroidism is an endocrine disorder or condition in which the thyroid gland does not produce enough thyroid hormone. Predicting hypothyroidism in each individual based on profile and behavior is a challenging task in the current field. The current system is a scientific study in which experts suspect hypothyroidism based on symptoms. Hypothyroidism can only be confirmed after a battery of diagnostic tests. There are some populations that require more accurate testing to determine their thyroid status. Approximately 42 million people in India suffer from thyroid disease and hypothyroidism. There is no automation to predict hypothyroidism. System uses the concept of association-rule mining approach to find out the patterns of hypothyroidism. Frequent item set mining in dataset are used for application. The main focus includes minimizing the scanning of dataset and a better time complexity than the popular algorithms. The research tries to weigh all the hypothyroidism attributes indivually and calculate to predict the accuracy of the hypothyroisim. It evolves by analyzing the association that the attribute can contribute towards the occurrence of hypothyroidism.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121704883","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
Subsynchronous Resonance Mitigation in SMIB System Using GCSC and TCSC with Conventional and Fuzzy Logic Controllers 基于GCSC和TCSC的SMIB系统的次同步谐振抑制
J. Sreeranganayakulu, K. H. Reddy, P. Sujatha
{"title":"Subsynchronous Resonance Mitigation in SMIB System Using GCSC and TCSC with Conventional and Fuzzy Logic Controllers","authors":"J. Sreeranganayakulu, K. H. Reddy, P. Sujatha","doi":"10.1109/ICAECT57570.2023.10117988","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117988","url":null,"abstract":"Power Systems are playing a vital role in the energy development and energy transmission in a most efficient and useful ways. Need of power transmission requires huge series capacitors to bring in the stability of massive amount of electrical energy. However, there are practical scenarios where these series capacitors are not capable of being synchronous with the turbine generators and thus causing Subsynchronous resonance (SSR). Though we have Flexible AC transmission systems (FACTS), we still have no control on the SSR. Therefore, Mitigation of SSR as a focus on TCSC controlled power system had been introduced with constant and enhanced power control methodologies and developed. Still there is room for improvement and hence we have introduced a GCSC controlled power transmission system. This paper proposes an approach for Subsynchronous resonance mitigation in Single Machine Infinite Bus System (SMIB) System Using GCSC and TCSC with Conventional and Fuzzy Logic Controllers compared. We have adopted the First IEEE benchmark a so-called SMIB system and used MATLAB/SIMULINK to witness the controllability on SSR. To evaluate performance of both devices, we have taken three different ratings of GCSC. We have projected a detailed analysis of comparing TCSC designed with conventional methods are inadequate to control the dynamic torsional oscillations when compared to the proposed GCSC ratings. Results and analysis proves that our Proposed design of GCSC controlled power system has the better performance results with inclusion of Takagi Sugeno fuzzy logic controller over the proportional(P) controller with respective of all the proposed Ratings Considered in the design. We are able to damp the dynamic power Oscillations and SSR with this method.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134371955","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
Bi-LSTM-LDA— A Topic Modelling Technique to Identify the Relevant Law for Indian Legal Cases Bi-LSTM-LDA -一种识别印度法律案件相关法律的主题建模技术
N. Sivaranjani, J. Jayabharathy
{"title":"Bi-LSTM-LDA— A Topic Modelling Technique to Identify the Relevant Law for Indian Legal Cases","authors":"N. Sivaranjani, J. Jayabharathy","doi":"10.1109/ICAECT57570.2023.10118275","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118275","url":null,"abstract":"AI had already changed the way of approaching the problem in many industries. Now it is changing the way of practicing the law. Already many models were created to predict the outcome of a case given the facts of the case by analysing the prior cases. Before any model starts predicting the outcome of the case, it is most important to identify the section code since punishment or judgment of a case depends on the law or article under which a specific case comes under. As far as Supreme Court of India is concerned, the section code plays the major role. Hence this paper proposes Bi-LSTM-LDA model that identifies the relevant law given only the facts of the case. The proposed model is ensemble of Bi-LSTM and LDA (Latent Dirichlet Allocation) algorithms that assigns section code given the facts of the case. The proposed model is compared with existing neural topic modelling models and the results shows Bi-LSTM-LDA outperforms than others with an accuracy of 96%.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132636071","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
Multi Criteria Decision Making problem using Energy of Directed Bipolar Fuzzy graph 利用有向双极模糊图能量的多准则决策问题
S. Shanthi, R. Preethi
{"title":"Multi Criteria Decision Making problem using Energy of Directed Bipolar Fuzzy graph","authors":"S. Shanthi, R. Preethi","doi":"10.1109/ICAECT57570.2023.10118059","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118059","url":null,"abstract":"In Bipolar fuzzy set, positive data constitute favors while negative data constitute disfavors. It establishes a suitable comprehensive for the data which is hazy and not precise. This paper deals with energy of directed bipolar fuzzy graph. Adjacency matrix of a directed bipolar fuzzy graph is constructed as a square matrix with negative and positive membership values of edges. The energy of a directed bipolar fuzzy graph is found as the sum of the absolute values of the eigen values of the adjacency matrix of the directed bipolar fuzzy graph. The concept of energy of directed bipolar fuzzy graph is applied to solve a multi criteria decision making problem. For communication to be effective it must be clear and have speedy rate of transfer. Effective communication is very essential in everyday life situation. Signal strength at each location is measured using spectrum analyzer and are represented in the form DBFG structure. DBFG energy is calculated and applying this weights are found. A DBFG score values are found. Net flow of the alternatives is determined based on which the best option is decided.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132737386","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
A Study on High-Frequency Transformer Design With Different Core Configurations for Flyback Converter Topology 反激变换器拓扑中不同铁芯结构高频变压器设计研究
Vargil Kumar, R. P, Amulya Vangapally, B. Venkatesaperumal
{"title":"A Study on High-Frequency Transformer Design With Different Core Configurations for Flyback Converter Topology","authors":"Vargil Kumar, R. P, Amulya Vangapally, B. Venkatesaperumal","doi":"10.1109/ICAECT57570.2023.10117685","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117685","url":null,"abstract":"The rapid advancements in the switched mode regulator technology necessitate an effective magnetic circuit for the converter topology. The design of magnetics plays a vital role in achieving the essential requirements of switching regulator circuits such as high-power density level, low thermal dissipation and high efficiency. Hence, this paper is focused on the high-frequency practical transformer design for flyback topology that is most widely used in the switched mode power supplies units. A case study is performed by employing different core configuration for high frequency flyback transformer which is the main contribution of this paper. The comparative performance analysis in terms of the dimensions, losses incurred and efficiency is reported for selecting the proper choice of core for the flyback topology.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131664450","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
An Approach to Loan Approval prediction Using Boosting Ensemble Learning 基于增强集成学习的贷款审批预测方法
Chintam Anusha, R. Kumar G, Praveen M.A
{"title":"An Approach to Loan Approval prediction Using Boosting Ensemble Learning","authors":"Chintam Anusha, R. Kumar G, Praveen M.A","doi":"10.1109/ICAECT57570.2023.10118093","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118093","url":null,"abstract":"Now a days banks are receiving lakhs of loan applications daily. This is delay in approval of loan to the customer as humans need to verify each of them manually. So even after having enough resources to approve loans it is big problem for banks to approve applications in time. In order to resolve this problem, we are planning to build an ML application which can reduce the time required to approve a loan using ML based prediction model to approve the loan with minimal human intervention by filtering huge number of applications and forward very few applications for human verification. In this work used several popular machine learning models are Random Forest tree, Logistic Regression, Decision tree, Support Vector machine and XGB. The results demonstrated that XGB has provided higher accuracy in the presenting assessment of the models than all other models combined.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124380890","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
Cooperative Spectrum Sensing based Hybrid Smart Home Energy Management System with Energy Harvesting 基于协同频谱传感的能量收集混合智能家居能源管理系统
Suvaditya Majumdar, Chandrima Thakur, Sangaa Chatterjee
{"title":"Cooperative Spectrum Sensing based Hybrid Smart Home Energy Management System with Energy Harvesting","authors":"Suvaditya Majumdar, Chandrima Thakur, Sangaa Chatterjee","doi":"10.1109/ICAECT57570.2023.10117746","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117746","url":null,"abstract":"This paper combines Cooperative Spectrum Sensing (CSS) and RF Energy Harvesting to propose a novel CSS scheme for Home Area Network (HAN) under cognitive radio (CR) environment. Smart home management requires data from all the nodes to reach the Advanced Metering Infrastructure (AMI). Channel sensing techniques such as CSS can be used to communicate data between the smart nodes and the main grid. One of the main problems of CSS is node failure due to shortage of battery life. Energy harvesting increases the detection potential of spectrum sensing algorithms. Smart Home Devices send their consumption data to the Central Node (FC) which has an access to the Knowledge Base. The Central Node communicates with the Smart Meter opportunistically using Harvested Energy, a part of which is used by the meter to communicate with the Smart Grid. The remaining part of the harvested energy is stored in the battery for emergency purposes. Finally, the effectiveness of the developed model has been analyzed and compared with the contrast schemes in terms of number of selected Secondary Users (SUs), channel capacity, the error threshold value and channel throughput.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125949369","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书