2023 7th International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第3页

Twitter Sentiment Analysis using Enhanced TF-DIF Naive Bayes Classifier Approach 基于增强TF-DIF朴素贝叶斯分类器的Twitter情感分析

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084106

M. Sindhuja, Kuriseti Sai Nitin, Kotharu Srujana Devi

引用次数: 1

Recognition of Facial Stress System using Machine Learning with an Intelligent Alert System 基于机器学习和智能警报系统的面部压力识别

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083566

S. K. Suba Raja, Durai Arumugam S S L, R. P. Kumar, J. Selvakumar

引用次数: 1

Smart Wearable Device to Prevent Accidents Caused by Medical Emergencies 智能可穿戴设备预防医疗突发事故

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084266

Ejjada Manoj Kumar, Abdul Zahoor, Ch. Sri Lakshmi Sruthi, Kandala Vaishnavi, V. R. Chowdary

{"title":"Smart Wearable Device to Prevent Accidents Caused by Medical Emergencies","authors":"Ejjada Manoj Kumar, Abdul Zahoor, Ch. Sri Lakshmi Sruthi, Kandala Vaishnavi, V. R. Chowdary","doi":"10.1109/ICCMC56507.2023.10084266","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10084266","url":null,"abstract":"The rate of accidents due to the sudden medical emergency of the driver is increasing day-by-day. These accidents not only cost the lives of people but also result in huge damage to the property. Even though many laws relieve the driver from liability since the accident is unintended, preventing these accidents or determining whether these accidents are caused due to medical emergencies has been a difficult task. Epilepsy which is the sudden breakdown of central nervous system has been the major cause to these types of accidents. A smart wearable, which is interfaced to the vehicle accumulated with Arduino Nano, that continuously monitors the heart rate, SPO2 levels, and Temperature and is capable of detecting epilepsy has been proposed as the solution. When the smart wearable device detects an abnormal condition, it immediately transmits the signal to the Arduino UNO which operates the relay to stop the vehicle thus preventing the accident. It also sends the user's current location through Global System for Mobile Communication (GSM) so that the life of driver can be saved.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132037781","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

Smart Grid Peer-to-Peer Exchanging Energy System using Block Chain 基于区块链的智能电网点对点能源交换系统

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084032

P. N. Kumar, B. Selvakumar, V. R, K. Rajkumar, K. K. Kumar, A. S. Kamaraja

{"title":"Smart Grid Peer-to-Peer Exchanging Energy System using Block Chain","authors":"P. N. Kumar, B. Selvakumar, V. R, K. Rajkumar, K. K. Kumar, A. S. Kamaraja","doi":"10.1109/ICCMC56507.2023.10084032","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10084032","url":null,"abstract":"Among the most effective methods Exchanging Energy Management Smart Grid (SG) enhances user involvement in energy production and it creates decentralized power sector systems with peer-to-peer technique (P2P). In Peer to peer, prosumers produce electricity on-site using Sustainable Energy sources. Next it is traded with customers in the surrounding area. Peer-to-peer makes it easier for people to interchange energy in the Transactive Energy Management system's regional micro-energy markets. This study suggests a block chain-based Decentralized and apparent Peer-to-peer Energy Trading (DA-P2PET) to solve the identified issues. Its target is to decrease grid energy generation and raising the gain for both consumer and prosumer by flexible price system. The DA-P2PET system conducts peer-to-peer energy trading using Smart Contracts built on the Ethereum block chain and the Interplanetary File System (IP. In the suggested DA-P2PET system, the Ethereum SCs are created to carry out P2P in real time. In comparison to existing methods, the DA-P2PET scheme is rated based on numerous criteria including profit creation, data transfer speed, networking access","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132354753","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

Detection of Cancer in Human Blood Sample using Machine Learning 利用机器学习检测人类血液样本中的癌症

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083971

Chereddy Spandana, R. P. Kumar

{"title":"Detection of Cancer in Human Blood Sample using Machine Learning","authors":"Chereddy Spandana, R. P. Kumar","doi":"10.1109/ICCMC56507.2023.10083971","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083971","url":null,"abstract":"The process of identifying blood problems involves a human being looking at a blood sample under a microscope with their unaided eyes. In this study, a computerized method was created to aid doctors in recognizing various forms of leukaemia. Initial segmentation is performed using K-Mean clustering once the RGB image has been transformed to L*a*b color space. The properties of this clustered image are extracted and divided into various forms of leukaemia. This method is used to recognize the illnesses and provide an early diagnosis. Since images are inexpensive and don't require any expensive testing or lab equipment, they are used as inputs. In order to investigate any changes in colour, texture, geometry, and statistical analysis of the images, this research will make use of features in microscopic photographs. Proposed method will feed the changes discovered in these features into our classifier. Since images are inexpensive and don't require expensive testing or lab equipment, they are used. Leukemia, a disease of white blood cells, will be the system's main focus. The system will make advantage of microscopic picture attributes to analyses statistical changes in texture, geometry, and color.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132535915","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

Enhancement of Double Gate Tunnel Field Effect Transistor Structures with Different Variable Parameters 不同变参数双栅隧道场效应晶体管结构的增强

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083660

Naga Swathi Tallapaneni, Megala Venkatesan

引用次数: 0

Applying Deep Learning Methods on Spam Review Detection 应用深度学习方法进行垃圾邮件审查检测

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083900

M. Ramu, Chinnakotla Jayanth Raj, Apthiri Nithish, Chandhu Boggula, G. G, Srikanth K.I Goud

{"title":"Applying Deep Learning Methods on Spam Review Detection","authors":"M. Ramu, Chinnakotla Jayanth Raj, Apthiri Nithish, Chandhu Boggula, G. G, Srikanth K.I Goud","doi":"10.1109/ICCMC56507.2023.10083900","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083900","url":null,"abstract":"In today's environment, a reliable and effective technique for identifying spam reviews is essential if you want to purchase things online without being taken advantage of. There are possibilities for publishing reviews in many internet locations, which opens the door for sponsored or deceptive fake reviews. These fabricated evaluations may mislead the general audience and leave them unsure of whether or not to believe them. The issue of spam review finding has been solved by the introduction of prominent deep literacy methods. The focus of recent research has been on supervised literacy practices that contain labelled data, which is inadequate for online review. This initiative aims to expose any dishonest textbook reviews. To do this, we've used both labelled and unlabeled data and suggested deep learning techniques for spam review detection, including Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), and a Long Short-Term Memory (LSTM) variation of Recurrent Neural Networks (RNN). We also used standard machine learning classifiers to identify spam reviews, including Naive Bayes (NB), K Nearest Neighbor (KNN), and Support Vector Machine (SVM). Finally, we compared the effectiveness of traditional and deep literacy classifiers. We'll use deep literacy classifiers to boost the finesse and efficiency.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"7 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131614052","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 Real Time System to Analyze Patient's Health Condition using Second Layer Computing 基于第二层计算的患者健康状况实时分析系统

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084046

D. E, Poovitha K, Pranikaa V, Rosini M

引用次数: 0

Hybrid Evolutionary Algorithm with Energy Efficient Cluster Head to Improve Performance Metrics on the IoT 混合进化算法与节能簇头提高物联网的性能指标

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083708

Jaya Dipti Lal, T. Balachander, T. S. Karthik, Sandy Ariawan, Pratap M S, M. Tiwari

{"title":"Hybrid Evolutionary Algorithm with Energy Efficient Cluster Head to Improve Performance Metrics on the IoT","authors":"Jaya Dipti Lal, T. Balachander, T. S. Karthik, Sandy Ariawan, Pratap M S, M. Tiwari","doi":"10.1109/ICCMC56507.2023.10083708","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083708","url":null,"abstract":"In recent times, the internet of Things (IoT) is an alternative model that is quickly getting ground in the scenario of current wireless telecommunication. Wireless sensor network (WSN) is a significant part of IoT, and it is primarily accountable for reporting and acquiring information. As coverage area and lifetime of WSN directly define the performance of IoT, how to design a technique for conserving node energy and decreasing node death rate becomes crucial problem. Sensor network clustering is an efficient technique to overcome this problem. It splits nodes into clusters and chooses one to be cluster head (CH). The data communication and transmission within single cluster are accomplished by its CH. This study develops a hybrid evolutionary algorithm-based energy efficient cluster head selection (HEA-EECHS) technique in the IoT environment. The presented HEA-EECHS technique concentrates on the effectual choice of CHs in the IoT environment. To do so, the HEA-EECHS technique derives an improved artificial jellyfish search algorithm (IAJSA) by the incorporation of oppositional based learning (OBL) approach into the traditional AJSA. Along with that, the HEA-EECHS technique designs a fitness function incorporating four parameters namely energy, cluster node density, average neighboring distance, and average distance to BS. The experimental assessment of the HEA-EECHS technique is investigated under several IoT nodes and the final results gives the value of 500 WMNs, the HEA-EECHS method has attained decreased CMO of 0.0015. The simulation output highlighted the improvised efficacy of the HEA-EECHS technique.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133030658","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

Hand Detection and Gesture Recognition in Complex Backgrounds 复杂背景下的手部检测和手势识别

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084181

S.GNANAPRIYA GP, K. Rahimunnisa, M. Sowmiya, P. Deepika, S. P. R. Kamala

引用次数: 0