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

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Energy Optimization and Dynamic Adaptive Secure Routing for MANET and Sensor Network in IoT 物联网中MANET和传感器网络的能量优化与动态自适应安全路由
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083519
J. V. Gripsy, A. Jayanthiladevi
{"title":"Energy Optimization and Dynamic Adaptive Secure Routing for MANET and Sensor Network in IoT","authors":"J. V. Gripsy, A. Jayanthiladevi","doi":"10.1109/ICCMC56507.2023.10083519","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083519","url":null,"abstract":"A Mobile Ad-Hoc Sensor Network (MASNET) is made up of several wireless mobile nodes that lack some predetermined architecture. It is independent of any centralized access point or management. Due to these traits, it suffers from significant network overhead and energy-related problems. Several routing methods have been created and developed for reducing routing overhead also increase MASNET's packet delivery ratio. Particularly, the use and expansion of location-aided routing techniques in these networks have been phenomenal. Hence, in this research proposed a novel transverse wave zone-based secure location aided routing technique called TWRect with Dynamic Adaptive Secure Routing that makes forwarding decisions based on the node location information and wave zone selection. This will significantly lower the number of flooding control packets and shrink the search zone. At the end, it will reduce network routing overhead while enhancing security. The zone selection and route discovery processes are repeated with node mobility analysis. The flooding approach, however, has a number of downsides, including data duplication, congestion when security is violated, etc. The availability of the network's energy resources is another significant drawback. The novel ways to address security and path dependability are constrained by a lack of battery and energy-based resources. Therefore, an energy efficient routing method is required for the distribution of information in MASNET. The proposed framework is used for optimizing the energy consumption. The simulation results demonstrate how the TWRDASR zone impacts data transmission and energy reduction efficiency.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"12 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":"133553246","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
Cloud Security and Privacy Preservation - A Comprehensive Analysis 云安全与隐私保护——综合分析
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083706
P. Mukthasree, L. Pavani, G. Nikhila, K. Adarsh, N. Srinivasu
{"title":"Cloud Security and Privacy Preservation - A Comprehensive Analysis","authors":"P. Mukthasree, L. Pavani, G. Nikhila, K. Adarsh, N. Srinivasu","doi":"10.1109/ICCMC56507.2023.10083706","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083706","url":null,"abstract":"The on-demand availability of computer system resources is known as doud computing. The term “the doud” describes the software and databases that run on servers that may be accessed via the Internet. Data centers all throughout the world house cloud servers. Users and businesses can avoid managing physical servers or running software on their own computers by utilizing doud computing. Now a days cloud is used in everywhere many it companies are moved into cloud because less infrastructure is required to maintain the cloud, you need fewer staff and fewer resources to maintain it. Moving to the doud will help you reduce your operating costs over the long term and the cloud has more storage to store the any type of data but there are also some issues like data security and privacy. While the threats and data leaks were a top issue for Sony in the days and weeks that followed the attack, this was not the only problem. A lawsuit was brought by Sony employees who claimed that the theft of their personal data caused them to incur severe economic hardship. Hence, there is a dire need to protect the data from the hackers.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"23 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":"133663216","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
Automatic Attendance System based on FaceRecognition using Machine Learning 基于人脸识别的机器学习自动考勤系统
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084017
Sk. Sharmila, G. Nagasai, M. Sowmya, A. Prasanna, S. Sri, N. Meghana
{"title":"Automatic Attendance System based on FaceRecognition using Machine Learning","authors":"Sk. Sharmila, G. Nagasai, M. Sowmya, A. Prasanna, S. Sri, N. Meghana","doi":"10.1109/ICCMC56507.2023.10084017","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10084017","url":null,"abstract":"Advancements have been made in the field of face recognition technology. Controlling aperson's attendance in real time via facial recognition technology. Face recognition is the process of recognizing a person by their facial characteristics. Various computer vision algorithms, including those used for face detection, expression recognition, and video surveillance, can make use of a person's unique facial features. A face detection and recognition- based attendance monitoring system might very well rapidly and accurately locate and identify people in photographs or video footage. In addition to being laborious to maintain, the time-honored practice of physically ticking off attendees is inefficient. This research work presents the working of a cascade classifier built with machine learning to improve the face detection results. This has been done by comparing the face images in the current image to a database of previously trained faces. The acquired image contributions are searchedfor a previously registered face, and once found, the person's attendance is recorded automatically.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"84 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":"133684225","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
Design and Simulation of 16x16 Vedic Multiplier using Kogge-Stone Adder 使用Kogge-Stone加法器的16 × 16吠陀乘法器的设计与仿真
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083594
Yogeshwaran K, Gowri R, S. S, Tejeswar Reddy T, Vijayalakshmi T
{"title":"Design and Simulation of 16x16 Vedic Multiplier using Kogge-Stone Adder","authors":"Yogeshwaran K, Gowri R, S. S, Tejeswar Reddy T, Vijayalakshmi T","doi":"10.1109/ICCMC56507.2023.10083594","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083594","url":null,"abstract":"In terms of applications, chip technology is now growing quite quickly. Even though the use of chips has increased, there are still drawbacks like delay and chip complexity. Kogge-Stone Adder is sufficient to increase speed by acting as compressors (3:2 compressors) in static CMOS, but the demand for chips is driving toward fast computations, which are only possible by the fast multipliers. To increase the speed of multiplication, parallel adder arrays are used to add partial products i.e., Kogge-Stone Adder. In real-time signals and image processing, Vedic multipliers are employed. Multipliers are significant building blocks in digital systems and are essential to the success of digital designs. Multiplication is the essential calculating process in digital systems, and in this study, we analyze the 16x16 Vedic Multiplier architecture using the Kogge-Stone Adder. By increasing the width of the transistor at the current stage, the delay can be reduced. The Vedic multiplier's speed will be increased, and the delay that results from utilizing the half-adder and full adder will be minimized. Therefore, the Kogge-Stone Adder is crucial in this kind of situation for reducing the chip's complexity and delay.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"512 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":"132283242","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
Natural Language Processing using Convolutional Neural Network 使用卷积神经网络进行自然语言处理
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083608
K. Varshitha, Chinni Guna Kumari, Muppala Hasvitha, Shaik Fiza, Amarendra K, V. Rachapudi
{"title":"Natural Language Processing using Convolutional Neural Network","authors":"K. Varshitha, Chinni Guna Kumari, Muppala Hasvitha, Shaik Fiza, Amarendra K, V. Rachapudi","doi":"10.1109/ICCMC56507.2023.10083608","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083608","url":null,"abstract":"Convolutional neural networks (CNN) are multi-layer neural networks that are used to learn hierarchical data properties. In recent times, CNN has achieved remarkable advances in the architecture and computation of Natural Language Processing (NLP). The Word2vec technique is considered to introduce Word embeddings, which are used to improve the performance of a variety of Natural Language Processing (NLP) applications. It is a well-known technique for learning word embeddings, which are dense representations of words in a lower-dimensional vector space. Two prominent approaches are used for learning word embeddings, which are dense representations of words in a lower-dimensional vector space, are Continuous Bag-of-Words (CBOW) and Skip-Gram.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"4 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":"115685242","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 Device to Check Harmful Chemicals in Fruits and Vegetables 检查水果和蔬菜中有害化学物质的智能设备
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084204
Saranya R, Antony Kumar K, R. P, Niresh Kumar S, K. P
{"title":"Smart Device to Check Harmful Chemicals in Fruits and Vegetables","authors":"Saranya R, Antony Kumar K, R. P, Niresh Kumar S, K. P","doi":"10.1109/ICCMC56507.2023.10084204","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10084204","url":null,"abstract":"Fruits and vegetables square measure extraordinarily nutritive and kind as key food merchandise among the human consumption. They are extraordinarily destructible due to their low amount. Fruits and vegetables square measure the necessary provide of carbohydrates, proteins and minerals. These food commodities square measure reported to be contaminated with toxic and health unsafe chemicals. To overcome this problem, proposed model uses IOT to detect the chemical levels. In this method gas detector has placed and estimate the chemical level in fruits and vegetables. If any chemicals detected immediate alert is distributed through GSM to the owner. In most of the hostel mess and government schools, everybody is getting tormented by the food they consume. Milk and fruits like banana and alternative foods utilized in existence, as all of them don't provide quality since the existence of Fulani gases vary from time to time. To confirm food safety, it's tough to be monitored at every stage of the provision chain. Variation in hydrogen ions concentration is going to be fetch, style, flavor, shelf-life of farm product. These gases increase with time. The aim of this method is to note early food spoilage before signs square measure visible.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"18 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":"114396853","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
Classification for Crop Pest on U-SegNet 作物有害生物U-SegNet分类
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083888
A. A. Rani, K. L. Prasanna, Mohd. Shaikhul Ashraf, Amar Kumar Dey, Md. Abul Ala Walid, D. R. K. Saikanth
{"title":"Classification for Crop Pest on U-SegNet","authors":"A. A. Rani, K. L. Prasanna, Mohd. Shaikhul Ashraf, Amar Kumar Dey, Md. Abul Ala Walid, D. R. K. Saikanth","doi":"10.1109/ICCMC56507.2023.10083888","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083888","url":null,"abstract":"As a long-standing issue, pests and illnesses in agriculture consistently cause large annual yield decreases. It's no secret that deep learning (DL) models are quite effective in facial recognition, therefore many people in the agricultural industry are curious about them. Since the algorithms used in existing methods of pest identification are sophisticated and there is a shortage of relevant data, the methods' accuracy in recognising and categorizing pests is low. When insects are misidentified as another type of pest, the wrong pesticides may be used, negatively affecting both crop productivity and the environment. Pre-trained deep learning architectures like Unet and ResNet were used to compare the proposed model to the suggested U-SegNet for insect categorization. This study also enhances the data to stop the network from becoming overly specialized. The accuracy of the proposed model has been analyzed by examining the impact of hyperparameters. The highest possible accurate classification rate has been accomplished at 93.54%.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"20 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":"114443852","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: 5
Moodle Data Analysis For Effective Online Teaching And Learning 有效的在线教学和学习的Moodle数据分析
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083697
M. S. M. E., Hemanth S, H. K, Jithesh Kumar R
{"title":"Moodle Data Analysis For Effective Online Teaching And Learning","authors":"M. S. M. E., Hemanth S, H. K, Jithesh Kumar R","doi":"10.1109/ICCMC56507.2023.10083697","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083697","url":null,"abstract":"This paper presents the results of an exploratory study that analyzes data from 500 students in MOODLE to understand the students' activities and how they relate to their course performance. The frequencies of the student's activities and the transitions between these activities are analyzed. This article analyzes the student's participation in Moodle activity via python code and their performance based on the marks scored in the quiz activity, which was given on Moodle platform. The analysis of students' performance of each question in that quiz. Also, the analysis of the easiness and difficulty of those questions asked. This study performs the facilitation value and discrimination index to find the easiness and difficulty of all questions, taking a percentage of questions which was easy, moderate, and hard. This is useful for the teaching staff to find a way to improve student performance and motivate them to score good marks.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"15 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":"114825328","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
Performance Analysis of Machine Learning Algorithm for the Credit Risk Analysis in the Banking Sector 银行业信用风险分析中机器学习算法的性能分析
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083580
S. Hegde, Rajalaxmi Hegde, K. R, S. S, A. Marthanda, K. Logu
{"title":"Performance Analysis of Machine Learning Algorithm for the Credit Risk Analysis in the Banking Sector","authors":"S. Hegde, Rajalaxmi Hegde, K. R, S. S, A. Marthanda, K. Logu","doi":"10.1109/ICCMC56507.2023.10083580","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083580","url":null,"abstract":"The banking sector has advanced in recent years. Thus, there is an increase in the demand for bank loans. The bank must distribute and sell each of the limited number of available slots to a select group of people. As a result, a usual stage is to identify who will be unable to return the loan and who will prove to be a more trustworthy option to the bank. In order to save the bank time and costs, in the proposed paper machine learning based approach is introduced to reduce the risk involved with finding the safe individual. In order to decide whether or not to grant someone a loan, this paper presents a method of loan approval based on predetermined criteria. The machine learning model for credit approval was implemented using logistic regression, XG Boost, random forest and naïve bayes model. The experimental results indicates that logistic regression model is more accurate for the credit risk analysis.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"12 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":"116025824","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
Human Trap Detection using Convolution Neural Networks 基于卷积神经网络的人体陷阱检测
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083927
V. N., Mahalakshmi S, OmBhargava
{"title":"Human Trap Detection using Convolution Neural Networks","authors":"V. N., Mahalakshmi S, OmBhargava","doi":"10.1109/ICCMC56507.2023.10083927","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083927","url":null,"abstract":"Natural calamities are the most common causes of disasters in different parts of the world, they can be either man-made, such as terrorist attacks, or natural (wildfires, landslides, floods, earthquakes etc.). India, as a country located on the seismic zone and the intertropical convergent point has been subjected to a variety of natural disasters, resulting in property damage, economic damage, and loss of life. This disaster creates a situation in which basic services must be provided to victims. Many people are dying in these disasters because they do not receive help immediately or later. This article proposes an intelligent robot by using wireless sensor networks to find human traps and automatically rescue them using Convolutional Neural Networks (CNN).","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":"126121226","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
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