2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)最新文献_第8页

New Fuzzy IBE System using Odor Detection 新型气味检测模糊IBE系统

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10193280

Aravind Karrothu, B. Brindavathi, Chunduru Anilkumar

引用次数: 0

FarmO’Cart: Multilingual Voice-Assisted Machine Learning Based real-time price Prediction to Enhance Agricultural Income FarmO 'Cart:基于多语言语音辅助机器学习的实时价格预测，以提高农业收入

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10193010

Aastha Patel, Lina Khedikar, Manasi Lokakshi, Sarika Khandelwal

{"title":"FarmO’Cart: Multilingual Voice-Assisted Machine Learning Based real-time price Prediction to Enhance Agricultural Income","authors":"Aastha Patel, Lina Khedikar, Manasi Lokakshi, Sarika Khandelwal","doi":"10.1109/ICESC57686.2023.10193010","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193010","url":null,"abstract":"The objective of this work is to propose the use of FarmO’Cart, a cutting-edge online marketing platform, as an effective solution to modernize conventional agricultural trading practices by facilitating an electronic exchange that links farmers, retailers, and consumers. The platform provides an option to directly sell or buy agricultural products without the involvement of any middlemen, thus allowing farmers to benefit from their crop production by generating 15-20% returns and reducing the debt ratio among farmers and their suicide rate. This proposed solution, FarmO'Cart, integrates a range of innovative features designed like a multilingual voice assistant, powered by advanced ALAN AI (Actionable Artificial Intelligence) technology, enabling farmers to interact with the platform in their native language and revolutionize traditional agricultural trading practices. Farmers can put their queries or ask for assistance by simply speaking out in their native languages. The platform is also accessible in 130+ languages through the integration of the Google Translate API (Application Programming Interface), ensuring a truly global reach. These features make the proposed solution more usable for the farmer community who may not be able to understand international languages or English in general. The Bcrypt’s hashing algorithm was leveraged to provide enhanced security for user data and passwords and the incorporation of salted hashing and a variable cost factor adds robustness to thwart brute-force attacks and password-cracking attempts. By employing these cryptographic techniques, the platform ensures effective protection of sensitive information. The FarmO’Cart also offers a community platform for farmers to connect and collaborate with Agri-experts & fellow farmers to improve productivity and profitability.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125172077","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

Diabetic Prediction using Feature Selection based Random Forest and Fine Tuned K-Nearest Neighbor Classifier Algorithm-A Design Thinking Approach 基于特征选择的随机森林和微调k近邻分类器算法的糖尿病预测-一种设计思维方法

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10193333

S. Ramya, Dr T. Vijayaraghavan, D. Kalaivani

{"title":"Diabetic Prediction using Feature Selection based Random Forest and Fine Tuned K-Nearest Neighbor Classifier Algorithm-A Design Thinking Approach","authors":"S. Ramya, Dr T. Vijayaraghavan, D. Kalaivani","doi":"10.1109/ICESC57686.2023.10193333","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193333","url":null,"abstract":"In low- and middle-income nations today, diabetes affects the majority of the population, according to a World Health organization (WHO) research. The WHO report suggested that 80% of the deaths would be due to the diabetes from 2016 to 2030. However, the current method continues to provide findings that are erroneous, which has a substantial negative impact on performance. To overcome the abovementioned issue, in this work, Random Forest (RF) algorithm and Fine tuned K-Nearest Neighbor (FKNN) classifier algorithm is proposed. Pre-processing, feature selection, and classification are the three primary stages of this project. Initially, preprocessing is performing for improving the final dataset results more accurately. Preprocessing is the process of cleaning the database into correct format. In order to choose more relevant and useful data from the dataset, the feature selection is then carried out utilizing the RF algorithm. It also minimizes the risk of over fitting with minimum features. Finally, diabetic prediction and classification is done by using FKNN classifier algorithm is used for categorizing items in the feature space based on training samples that are the most similar to the objects being classified. According to the experimental results, the suggested RF+FKNN method outperforms the current algorithms in accuracy, precision, recall, and f-measure.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125315138","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

Vehicle-to-Vehicle Communication using VANET 使用VANET的车对车通信

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10193521

K. Rajeshwaran, S. S. Keertanaa, S. Lidharshana, S. Madhumitha

{"title":"Vehicle-to-Vehicle Communication using VANET","authors":"K. Rajeshwaran, S. S. Keertanaa, S. Lidharshana, S. Madhumitha","doi":"10.1109/ICESC57686.2023.10193521","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193521","url":null,"abstract":"Every year, traffic accidents involving vehicles result in hundreds of fatalities, serious injuries, and significant material losses. The primary causes of vehicular traffic accidents are infractions of traffic laws. Hence, having a reliable method of identifying violations will result in a decrease in traffic accidents and a reliable traffic control system. The vehicle environment has become one of the hottest study topics for the communications sector as a result of recent developments in telecommunications, computing, and sensor technologies. Computer networking researchers have proposed a new wireless networking concept called Vehicular Ad hoc Network (VANET), which can increase passenger safety and provide “efficient” road and policy monitoring. This concept aims to reduce the high number of vehicular traffic accidents, improve safety, and manage traffic control systems with high and reliable efficiency. Future VANET-based vehicle applications will include everything from transport automation systems to entertainment and comfort-based ones, making roads safer and better structured.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129697758","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 Signal Generation System for Galvanic Taste Modulation using ATmega328p Microcontroller 基于ATmega328p单片机的电味觉调制信号生成系统

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10192933

Angel Swastik Duggal, A. Gehlot, P. Malik, Nitasha Bisht, Rajesh Singh

引用次数: 0

Predicting Price Direction of Bitcoin based on Hybrid Model of LSTM and Dense Neural Network Approach 基于LSTM和密集神经网络混合模型的比特币价格走势预测

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10193561

Dr Jai Kishan Karahyla, Neelam Sharma, Sushant Chamoli, Dr Anil Shirgire, Ravi Kant, Amit Chauhan

{"title":"Predicting Price Direction of Bitcoin based on Hybrid Model of LSTM and Dense Neural Network Approach","authors":"Dr Jai Kishan Karahyla, Neelam Sharma, Sushant Chamoli, Dr Anil Shirgire, Ravi Kant, Amit Chauhan","doi":"10.1109/ICESC57686.2023.10193561","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10193561","url":null,"abstract":"Bitcoin is a rapidly growing but extremely risky cryptocurrency. It marks a watershed moment in the history of cash. These days, digital currency is preferred to actual money. Bitcoin has decentralized authority and placed it in the hands of its users. Many people are joining the largest and most well-known Bitcoin mining pools as the risk of working alone is too great. In order to enhance their chances of creating the next block in the Bitcoins blockchain and decrease the mining reward volatility, users can band together to form Bitcoin pools. This tendency toward consolidation may also be seen in the rise of large-scale mining farms equipped with powerful mining resources and speedy processing capability. Because of the risk of a 51% assault, this pattern shows that Bitcoin’s pure, decentralized protocol is moving toward greater centralization in its distribution network. Not to be overlooked is the resulting centralization of the bitcoin network as a result of cloud wallets making it simple for new users to join. Because of the easily hackable nature of Bitcoin technologies, this could lead to a wide range of security vulnerabilities. The proposed approach uses normalization and filling missing values in preprocessing, PCA for feature Extraction and finally training the model using LSTM-DNN Models. The proposed approach outperforms other two models such as CNN and DNN.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128645311","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

Reliability and Packet Transfer Efficiency of Sparkle Topologies 火花拓扑的可靠性和分组传输效率

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10192978

A. Joshi, V. Subedha

引用次数: 0

An Improved Capacity Optimization Framework for Mobile Nodes in Ultra Dense Cloud Networks 一种改进的超密集云网络中移动节点容量优化框架

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10193384

Kaligotla Ravi Kumar, C. Sivakumar

引用次数: 0

Authentication in Cloud Computing: Open Problems 云计算中的身份验证:开放问题

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10193438

Zarif Khudoykulov, Abdukodir Karimov, R. Abdurakhmanov, Mirkomil Mirzabekov

引用次数: 0

Secure radiology image browsing tool improvised using Denoising Autoencoder with Convolutional Neural Network (DAECNN) 基于卷积神经网络(DAECNN)去噪自编码器的安全放射图像浏览工具

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Pub Date : 2023-07-06 DOI: 10.1109/ICESC57686.2023.10192582

A.Naveen Kumaar, J. Akilandeswari, P. R. Mathangi, P. Kavya, S. Dhanush Prabhu, V. Ashwin Kumar

{"title":"Secure radiology image browsing tool improvised using Denoising Autoencoder with Convolutional Neural Network (DAECNN)","authors":"A.Naveen Kumaar, J. Akilandeswari, P. R. Mathangi, P. Kavya, S. Dhanush Prabhu, V. Ashwin Kumar","doi":"10.1109/ICESC57686.2023.10192582","DOIUrl":"https://doi.org/10.1109/ICESC57686.2023.10192582","url":null,"abstract":"Computers are now considered as the daily necessities for both mankind and medical science. A doctor examines a patient, with the physical interaction and then with all the reports like scans, X-rays, blood reports, and so on. In case of Radiologist, they can’t frequently touch the screen or buttons while browsing the radiology report images, this may lead to radioactive contamination. A gesture-based browsing method is developed to overcome this issue by making the radiologist to browse the images without any close interactions with the device. An interface is provided for the surgeon where their hand-gestures are used for safe browsing of radiology report images using recent hand-gesture recognition methodologies. Further the accuracy of the system is increased by the proposed modified Convolutional Neural Network technique which uses De-noising Auto Encoder based CNN (DAECNN) to identify the hand-gesture made by the radiologist. A detailed study is made on the recent hand-gesture recognition methodologies used on secure browsing of radiology images based on accuracy. The proposed technique is compared with the existing deep learning methodologies such as CNN, Adaline (Adaptive Linear Neuron), DAE (Denoising Autoencoder) and the performances are examined. The findings of the research show that the DAECNN methodology outperforms the currently used classification techniques.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126695754","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