2022 International Conference on Computer, Power and Communications (ICCPC)最新文献_第8页

Recognition of emotions using non-contact breadth analyzer 使用非接触宽度分析仪识别情绪

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072117

P. G. K. Prince, J. J. Bethanney, S. Poojahsri, S.K Sounder, J. Premalatha, D. Marshiana

引用次数: 0

Elliptical Curve Diffe-Hellman Algorithm for discovering Duplication Attack in Mobile WSN 移动无线传感器网络中发现重复攻击的椭圆曲线差分-赫尔曼算法

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072042

J. Shirisha, M. Rajkumar, D. Sangeetha, R. Sabitha, B. Kannan, S. Renukadevi

引用次数: 0

An intelligent framework for heart disease prediction deep learning-based ensemble Method 一种基于深度学习的心脏病预测智能框架集成方法

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072285

V. Venkatesh, Pethuru Rai, Kalluru Amarnath Reddy, S. Praba, R. Anushiadevi

{"title":"An intelligent framework for heart disease prediction deep learning-based ensemble Method","authors":"V. Venkatesh, Pethuru Rai, Kalluru Amarnath Reddy, S. Praba, R. Anushiadevi","doi":"10.1109/ICCPC55978.2022.10072285","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072285","url":null,"abstract":"Recently, wearable sensors used in Body Area Networks (BANs) have more competencies for sensing the environments, data storage, processing, and information transfer. BANs furnish different techniques to monitor activities in various medical field applications to accurately detect heart disease. Forgiving efficient treatment for heart disease to heart patients, exact prediction is more important in medical research. A machine learning model over health care data is an important goal for heart disease prediction. Different machine learning techniques have been used in existing research that pointed out inaccurate decision-making over clinical data obtained; some improvements are needed to predict heart disease before a heart attack occurs accurately. This paper proposes an intelligent framework for heart disease prediction using edge computing, Cloud computing and ensemble learning techniques. The proposed system is evaluated with heart disease data and compared with traditional ensemble classifiers based on precision, weighting techniques and temporal metrics like arbitration delay and computational expense. The architecture also provides a facility for distributed learning at the node level, ensuring proper resource utilization and boosting accuracy, making it a suitable choice for health care and heavy-load applications. Accuracy of 96.5% was obtained based on the proposed intelligent framework for heart disease prediction at a reasonable latency, making this a unique pick compared to existing works.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114301741","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

Wind Energy Conversion system for Industrial Adaptation Control using IoT 基于物联网的工业自适应控制风能转换系统

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072098

P. Rathnavel, T. Muthamizhan, G. Prakash, M. Kumar, T. Immanuel, A. Sivakumar

{"title":"Wind Energy Conversion system for Industrial Adaptation Control using IoT","authors":"P. Rathnavel, T. Muthamizhan, G. Prakash, M. Kumar, T. Immanuel, A. Sivakumar","doi":"10.1109/ICCPC55978.2022.10072098","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072098","url":null,"abstract":"Wind energy is the world's second largest source of renewable energy generation, only after the most extensively employed hydro power, the most extensively employed. A technical revolution is experienced as a result of the development of advanced wind energy conversion systems (WECS), which include multilevel inverters (MLIs). Ripples present in the output waveforms of the traditional rectifier is more, and the MLI exhibits voltage balance concerns across the DC-link capacitor, which is equally a major problem with the conventional rectifier. The design is based on the “Vienna rectifier” architecture for power electronics evaluation and design, over a range of applications, including variable-speed and continuous sinusoidal current and voltage control. This article proposes a simplified proportional-integral (PI) control for minimizing the output waveform ripples, fixing voltage complications, and producing higher-quality waveforms at the output. This results in the development of a substantial alternatives in the field of high-power and medium-voltage energy regulation. Through the use of a new design, low-harmonic multilayer voltage source inverters with low harmonics are able to provide enormous voltages without the use of synchronized switching devices or series-connected transformers.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121103349","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 Novel Method of IoT Based Smart Notice Board Using Raspberry PI 基于树莓派的物联网智能公告板的新方法

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072128

Venkatesh Kumar, S. Amirthasri, M. Ananya, S. Esther

{"title":"A Novel Method of IoT Based Smart Notice Board Using Raspberry PI","authors":"Venkatesh Kumar, S. Amirthasri, M. Ananya, S. Esther","doi":"10.1109/ICCPC55978.2022.10072128","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072128","url":null,"abstract":"Raspberry PI was used in the design of digital notice boards. This works on the principle of IoT. Notice can post through a website and the data can be viewed on a digital notice board. From a distance, notice can update the through the website and additionally, registered users receive notifications on their android phone. Notice board is a typical instrument that is used to display important data. Colleges and other societies rely on pin boards used for posting announcements. This study focuses on the fundamental concept of an IOT- based digital display using a raspberry pi. The objective of this project which has been proposed is to ensure the updating of data and the output is displaced in any internet connected devices. Notice boards are quite important in our daily lives. Information dissemination in a society without paper can be greatly facilitated by replacing the traditional analogue type notice board with a digital notice board. The admin can do this here, update the notice board through the created website via the internet. So, data can be sent anywhere and can be showed in a matter of seconds. The data is usually in the format of texts and images. PC is used for storing and send information and Raspberry pi is linked via WIFI at the receiving position.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121292856","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

Security Enhanced Federated Learning Approach using Blockchain 使用区块链的安全增强联邦学习方法

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072091

S. Revathy, S. Priya

引用次数: 0

Classification of Diabetic Disorder using Machine Learning Approaches 使用机器学习方法对糖尿病疾病进行分类

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072213

R. Srinath, P. Maragathavalli, C. Shalini, Syed Asadh

引用次数: 1

Towards Improving Cloud Security and Performance by using Proposed Controlled Replication Model 利用拟议的受控复制模型提高云的安全性和性能

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072157

K. Rajalakshmi, M. Sambath, Linda Joseph

{"title":"Towards Improving Cloud Security and Performance by using Proposed Controlled Replication Model","authors":"K. Rajalakshmi, M. Sambath, Linda Joseph","doi":"10.1109/ICCPC55978.2022.10072157","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072157","url":null,"abstract":"Unlike traditional data centres, cloud computing can be used for data hosting and management, allowing the resources to be used in comparable ways. To host data, cloud companies employ a variety of ways. The most popular data is copied using the fewest resources, while the remainder is not. Placing data fragments in the middle and closest nodes to the user reduces access time. Through replication, data is always available, so its availability is ensured. Data files stored in the cloud should always be available to users. Users can replicate data files based on their reputation degree and replication benefits. The purpose of replication is to ensure consistency, availability, and reliability of data by maintaining different copies of the same data on multiple storage servers. Using a cloud provider creates a sense of trust in the belief that data is available whenever needed. Several factors have been considered when developing the Controlled Replication Model for reducing such instances on the cloud platform. These factors are the level of data reputation, the replication benefit, and the replication cost. As a result, it controls replication costs and lowers resource use. Denial of service and reflection attacks are reduced to a certain level, and the system's stability, availability, load balancing, and fault tolerance are increased.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128760224","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

Prediction of Cardio Vascular Disease by Deep Learning and Machine Learning-A Combined Data Science Approach 基于深度学习和机器学习的心血管疾病预测——一种结合数据科学的方法

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072141

A. A. Romalt, R. Kumar

引用次数: 1

Automatic Speech Recognition using the Melspectrogram-based method for English Phonemes 基于melspectrogram的英语音素自动语音识别方法

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072076

M. Soundarya, P. R. Karthikeyan, K. Ganapathy, Gunasekar Thangarasu

{"title":"Automatic Speech Recognition using the Melspectrogram-based method for English Phonemes","authors":"M. Soundarya, P. R. Karthikeyan, K. Ganapathy, Gunasekar Thangarasu","doi":"10.1109/ICCPC55978.2022.10072076","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072076","url":null,"abstract":"An automatic speech recognition (ASR) technique may be set up to forecast the pronunciation of textual identifiers (such as song names) based on assumptions about the language or languages in which the textual identifier was originally written. To identify mispronunciation, custom acoustic-phonetic elements are typically used. This study examines the use of deep convolutional neural networks to identify English phonemes that have been mispronounced in musical samples. Convolutional neural networks (CNNs) are now often employed in systems recognizing speech. In this work, a decoded-based architecture is proposed in which the spectrogram feature that corresponds with the auditory features is proposed by comparing the various inputs to the model. Following the selection of the input features, this research examines the design principles of learning parameters and their application to voice recognition with various parameters. To identify mispronunciation, custom acoustic-phonetic elements are typically used. This research work also examines the application of learning models. The proposed method achieves better results with 85% of accuracy and a Word Error Rate of 8.1 on comparing with existing works.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129783232","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