2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)最新文献_第10页

An EOQ Model for Deteriorating Items with Time Dependent Demand 具有时间依赖需求的变质物品EOQ模型

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10046704

Khyati, Ashendra Kumar Saxena

引用次数: 0

Application of Cryptographic Methods to Blockchain Technology to Increase Data Reliability 加密方法在区块链技术中的应用，提高数据可靠性

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047207

Pallavi Shetty, M. Kumar, Tushar Vyas, Angulakshmi M, A. Gehlot, Kumud Pant

{"title":"Application of Cryptographic Methods to Blockchain Technology to Increase Data Reliability","authors":"Pallavi Shetty, M. Kumar, Tushar Vyas, Angulakshmi M, A. Gehlot, Kumud Pant","doi":"10.1109/SMART55829.2022.10047207","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047207","url":null,"abstract":"Utilizing digital technology to control technical processes reduces the need for physical labor and increases worker productivity. The optimization of automated specified conditions based on digital technologies is one of the primary avenues of progress in information technology. Among the key areas of study nowadays is improving the data dependability of controllers. The creation of procedures for data The use of network technology for storing, processing, and moving data is a result of the significant growth in the flow of data in the present information and globalization era. As a consequence, the trustworthiness of the data in this network security is becoming a bigger issue. Increasing data dependability based on security is a pressing issue nowadays. Developed around the turn of the century, blockchain technology offers a fresh method for protecting data in network security. Blockchain prioritizes the inclusion of a cryptographically chain in its architecture. This work focused on enhancing cryptographic methods and cryptographic strength evaluation using blockchain-based processes. The blockchain engine has been used to enhance the contemporary RSA6 cryptographic technique, and the D RSA6 algorithms has been created. Analyses and tests have been done on the D RSA6 algorithm's cryptographic security. It has been shown that the best method for improving the correctness of network system data is the designed algorithm D RSA6. The approach, which is based on combining cryptographic methods with blockchain technology, increases tolerance for cryptocurrencies by a factor of two. This enables you to improve the data's dependability.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117026405","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

A Study on the Flying Ad-hoc Networks: Related Challenges, Routing Protocols and Mobility Models 飞行Ad-hoc网络研究:相关挑战、路由协议和移动模型

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047757

Tarandeep Kaur Bhatia, Sona Tyagi, Aayushman Gusain, K. Sharma

引用次数: 1

Plant Leaf Disease Identification using Machine Learning 利用机器学习识别植物叶片病害

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047040

Supriya Kumari, Neeraj Kumari, Nuparam

{"title":"Plant Leaf Disease Identification using Machine Learning","authors":"Supriya Kumari, Neeraj Kumari, Nuparam","doi":"10.1109/SMART55829.2022.10047040","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047040","url":null,"abstract":"Agriculture is very important in India since it is a growing nation. Nearly six-in-ten individuals living in rural areas of India rely on farming for their livelihood. As one of the world's most popular produce items, tomatoes play a vital role in many people's daily meals. Therefore, identifying and classifying any diseases a tomato plant may have is essential for preventing substantial loss in tomato quantity and production. Such problems are addressed using cutting-edge tech by employing a broad range of approaches and techniques, such as image processing. As with many other plants, a tomato plant's leaves are the first to exhibit signs of a disease. Four steps were used in the research to narrow down the potential illness types. There are four steps total: data cleansing/preprocessing, leaf segmentation, feature extraction, and classification. First, we utilise picture preprocessing to get rid of any distracting backgrounds, and then we use image segmentation to single out the areas of the leaf that took the brunt of the impact. It is possible to employ the supervised, complex machine learning method known as a Convolutional Neural Network (CNN) to find solutions to classification and regression issues. If the user has reached this stage, they should seek help. Diseases have the most devastating impact on plant life. This research demonstrates how image processing may be used to detect flaws in tomato plants by examining images of the affected leaves.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127176722","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

Robotic Advancements in Business Process Automation using Artificial Intelligence: An Investigative Study 使用人工智能的业务流程自动化中的机器人进步:一项调查研究

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10046772

Ranjana Sharma, S. Bharadwaj, Sarthika Dutt, Mayank Tomar

{"title":"Robotic Advancements in Business Process Automation using Artificial Intelligence: An Investigative Study","authors":"Ranjana Sharma, S. Bharadwaj, Sarthika Dutt, Mayank Tomar","doi":"10.1109/SMART55829.2022.10046772","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10046772","url":null,"abstract":"In the present scenarios, we can observe how the world is changing with computers, and the thing which plays the best role is ‘Robots’. So, in this article, we have mentioned how robots will change the world with new technologies and a newly introduced concept by the present engineers: Robotic Process Automation. RPA is the technology that is replacing humans with computers or programmed bots to mimic human actions to perform several tasks. There is currently little scholarly literature on the issue. As a result, the goal of this paper is to analyze how the academic community defines RPA and how far it has been researched in the literature in terms of the status, trends, and application of RPA. There is also a discussion of the distinction between RPA and business process management. To that goal, the Web of Science and Scopus databases were used to conduct a systematic literature review (SLR). The article summarises the results of an SLR on RPA, providing a review of RPA ideas and practical implementations, as well as the benefits of its adoption in various industries.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127194962","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

Ethereum and Intelligent Systems Technologies for COVID-19 针对COVID-19的以太坊和智能系统技术

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047508

Yogesh Kumaran S, Sunanda Das

{"title":"Ethereum and Intelligent Systems Technologies for COVID-19","authors":"Yogesh Kumaran S, Sunanda Das","doi":"10.1109/SMART55829.2022.10047508","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047508","url":null,"abstract":"Beginning in 2020, Covid has increased as a result of a burst put on by a respiratory infection with a substantial peaking fatality rate. The unforeseen occurrence and unchecked global spread of the COVID-19 illness highlight the limitations of current healthcare systems in responding to emergencies affecting public wellness. In these conditions, innovative developments like public blockchain and intelligent systems (AI) have emerged as possible treatments for the covid epidemic. In particular, block chain may help with early identification to combat pandemics. With the measures put in place to prevent infection by wearing masks, social seclusion with a 6m radius, routine testing, and two vaccine doses. This system includes mask measurement, people identification, temp sensors, information tracking, in-person interaction locating, and the current state of a user's medical chart. With the development of technology and increased smartphone usage, illnesses may be tracked and their spread controlled. Considering that the expansion of the business sector's rehabilitation and its continued broad distribution of Covid, it is more crucial to adhere to the instructions to avoid contamination.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128192018","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 of Nutritional Deficiencies in Cabbage Leave Using Random Forest 利用随机森林技术对白菜叶片营养缺乏症进行分类

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047282

Nuparam Chauhan, R. Shukla, A. Sengar, Anurag Gupta

{"title":"Classification of Nutritional Deficiencies in Cabbage Leave Using Random Forest","authors":"Nuparam Chauhan, R. Shukla, A. Sengar, Anurag Gupta","doi":"10.1109/SMART55829.2022.10047282","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047282","url":null,"abstract":"Now a day agriculture is very important in India since it is a growing nation. But generally the crop production attained by farmers would be much below the optimal production. It is very important to correctly detecting and identifying the crop diseases to enhance the profit of the formers and the stakeholder. The main reason for the crop production gap is due to the lack of essential soil nutrients and irrigation in the agricultural farms. To escalate the crop production, it is essential to balance the chemical elements or nutrients present in the soil with varying parameters of soil like the pH and soil moisture. Crop productivity can be increased to optimum level by efficient soil nutrient management. In case of Nutrient deficiencies, visual symptoms will appear on the leaf. This paper put forwards a method to identify the nutrient deficiencies of plants by making use of visual symptoms appearing on the leaves by Classification. Eight types of deficiencies i.e. N, P, K, Ca, B, Zn and Mg will be studied. The proposed study consists of creation and pre¬processing of a set of images consisting of nutrient deficient and healthy leaves, feature extraction and by using Random Forest performing multi class classification of nutrient deficient leaves. Evaluation of tomato leaf from the dataset focuses on recognizing the visual detection and indications of nutritional deficiencies. The proposed architecture achieves the 98.30% accuracy with the model size of 9.20 MB.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127235160","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

Orthogonal Schemes for Handwritten Digits Recognizing from Image Data 基于图像数据的手写体数字识别正交方案

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047345

Pankaj Saraswat, Suman Saini

{"title":"Orthogonal Schemes for Handwritten Digits Recognizing from Image Data","authors":"Pankaj Saraswat, Suman Saini","doi":"10.1109/SMART55829.2022.10047345","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047345","url":null,"abstract":"Identification of numbers has gained excitement recently. Despite the fact that several learning focused categorization approaches are proposed for mnist dataset validation, the precision and processing time may still be improved. Dealing with a disease as an early union is rather common. Swarm approaches like Swarm Optimization seriously evaluate this unfavorable element (PSO). A novel approach using neural network models with convolutions is intended to address the limitations of traditional Soc (CNN). Clo is created by modifying the artificial neural network with the use of luck and analogous learnt optimized particle swarms (CNN-SOLPSO). This adaption is provided for the steadily growing population of the over. This projected enhancer shows increased efficacy when compared to other unconventional methods and expects the best characteristics from that wellbeing assessment. The Holdout library of transcribed digits is used to construct and evaluate the computation contained in the proposed model. the severely deformed, unpredictable, and manually produced pictures of digits that help compensate its Imagenet dataset database. The major objective of this effort is to contribute to an appropriate approach to digital by focusing on greater precision and better computations. Using Bas 2018b, it is possible to choose parameters for Training unshakable quality and drop capacity, Validate refinement and loss measurements, and Identify velocities with defect rate and completion moment.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127462770","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

Soil Nutrients Monitoring and Analyzing System using Internet of Things 基于物联网的土壤养分监测分析系统

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047473

Sónia, Vincent Balu

引用次数: 0

Skin Cancer Classification using CNN in Comparison with Support Vector Machine for Better Accuracy 使用CNN与支持向量机进行皮肤癌分类的比较

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI: 10.1109/SMART55829.2022.10047280

S. Likhitha, R. Baskar

引用次数: 1