2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)最新文献

Evaluation on Utilization and Emaciation of Data Mining Techniques in Information System 信息系统中数据挖掘技术的利用与精简评价

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114009

Trupti G.Ghongade, R. Khobragade

引用次数: 0

Security analysis of Three-Factor Authentication Protocol Based on Extended Chaotic-Maps 基于扩展混沌映射的三因素认证协议安全性分析

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113994

Suresh Devanapalli, Kolloju Phaneendra

引用次数: 0

Amharic ATS - A Comparison Between Graph Based and Statistical Based Approach using Rouge Metric and Human Evaluation 阿姆哈拉语ATS -基于图和基于统计的胭脂度量和人类评价方法的比较

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114029

Hannatu K. Ali, Luwam Major Kefali, Shantipriya Parida, S. Dash

{"title":"Amharic ATS - A Comparison Between Graph Based and Statistical Based Approach using Rouge Metric and Human Evaluation","authors":"Hannatu K. Ali, Luwam Major Kefali, Shantipriya Parida, S. Dash","doi":"10.1109/OTCON56053.2023.10114029","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114029","url":null,"abstract":"This paper presents a study into existing Automatic Text Summarization models applied on the Amharic languagea widely used and spoken language in Ethiopia. With more than 40 million speakers across the world, including the diaspora, it is of significance to have a mechanism where large Amharic texts can be condensed into understandable and short paragraphs. The models that have been implemented and used previously have shown great results and promise, especially the TextRank algorithm, which has been studied in this paper, along with TF-IDF and Cosine Similarity algorithms. Our paper mainly concentrated on the evaluation aspect of summarized Amharic texts with human summaries, which are likely to have more depth and context. The study compares and contrasts human generated summaries with machine generated ones, on the same text. The evaluation comprised of human evaluation and the Rouge Metrics. The results in both cases signified TextRank, a graph-based approach, to lead to optimal summaries.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127439779","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

Malware Detection in PE files using Machine Learning 使用机器学习的PE文件中的恶意软件检测

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113998

Samarth Tyagi, Achintya Baghela, Kashif Majid Dar, Anwesh Patel, Sonali Kothari, Snehal Bhosale

引用次数: 1

Modernising E-commerce Warranties using Non-Fungible Tokens on the Blockchain 在区块链上使用不可替代的代币实现电子商务担保的现代化

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113919

Aaliya Ali, Saransh Agrawal, Tanvi Pisalkar, S. Dongre

{"title":"Modernising E-commerce Warranties using Non-Fungible Tokens on the Blockchain","authors":"Aaliya Ali, Saransh Agrawal, Tanvi Pisalkar, S. Dongre","doi":"10.1109/OTCON56053.2023.10113919","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113919","url":null,"abstract":"With the rise of internet accessibility and situations like the pandemic, the world has seen an ever-increasing number of people turning to online shopping. Over the years, these E-commerce websites have been able to win the trust of their users. With this trust in mind, people have started buying high-value goods like electronics, smart gadgets and even furniture. While these goods are delivered with ease, another important concern in regard to these items is product warranties. Present-day warranties exist in two forms a) Physical Warranties and b) Digital Warranties. Physical warranties involve paperwork, can be easily tampered with and manipulated and are almost non-transferable. Digital warranties, although they do not need paperwork, do not ensure complete ownership transfers. To overcome the abovementioned issues, we propose a new blockchain-based solution. Our proposed solution uses Non-Fungible Tokens to issue and verify warranties. This research proposes a new way of issuing, managing and validating product warranties by making use of Non-Fungible Token(NFT). The NFT Warranty stays on the blockchain as long the warranty is valid after which it ‘burns’.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116147917","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

Industry 4.0 based Machine Learning Models for Anomalous Product Detection and Classification 基于工业4.0的异常产品检测和分类机器学习模型

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114045

Sourabh Kumar, S. K. Chandra, R. Shukla, Lipismita Panigrahi

{"title":"Industry 4.0 based Machine Learning Models for Anomalous Product Detection and Classification","authors":"Sourabh Kumar, S. K. Chandra, R. Shukla, Lipismita Panigrahi","doi":"10.1109/OTCON56053.2023.10114045","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114045","url":null,"abstract":"Automation has made tremendous changes in the industries. It has been used to automate the manual processes involved in different physical units of the industries. The purpose was to increase the production in the manufacturing. Now, Computers are being used in the industries to monitor functionalities of different production units with the help of artificial intelligence and internet of things (IoT). The IoT has revolutionized the industries. It is an interconnected network system of physical units. The core purpose of it to gather and share information among different physical units. The IoT has great impact on the many areas such as business, industry, medicine, the economy, transport, industrial robots and automation systems. IoT with artificial intelligence has wide range of industrial applications. Industry 4.0 is used in the industries where different industrial units are connected over the internet and interacting to make decisions via machine-to-machine communication. It has increased the benefits of industries in terms of production and supply chain management. Manufacturing industry monitors its production units in every 10 milliseconds to capture features of the product that is being produced. The features generated in this process are huge in amount. Critical observation is performed on the generated features to categorize the product as anomalous or good. Product classification is difficult task in the labeled datasets due to human bias in labeling the final product as anomalous or good. In this work, machine learning models is being used to detect and classify faulty product produced by manufacturing industry. Both qualitative and quantitative study will be carried out to compare various machine learning models.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122369911","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 Short Term Recursive Matrix Pencil Based Distribution System Protection Scheme 一种基于递归矩阵笔的配电系统短期保护方案

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113999

B. Deshmukh, D. Lal, S. Biswal

引用次数: 0

Impact of digital media marketing on purchasing behavior in the low hill urban areas of Himachal Pradesh 数字媒体营销对喜马偕尔邦低山城市地区购买行为的影响

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113971

Bharti, C. K. Upadhyay, Sanjeev Kumar Garg, M. Ghai

引用次数: 0

Evolution of Low - Power Blockchain Technology by using Iterative Sharding for IoT Environment 物联网环境下基于迭代分片的低功耗区块链技术演进

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113981

Suniti Purbey, Ashutosh Choudhary, B. Dewangan

{"title":"Evolution of Low - Power Blockchain Technology by using Iterative Sharding for IoT Environment","authors":"Suniti Purbey, Ashutosh Choudhary, B. Dewangan","doi":"10.1109/OTCON56053.2023.10113981","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113981","url":null,"abstract":"This Blockchains are considered as high security linked-list based models that can be used to incorporate immutability, distributed processing, high transparency, and high trustworthiness for scalable deployments. But as the chain length increases, these blockchains require larger mining delays and higher energy consumption which limits their applicability for low-power use cases. Existing low-power blockchains require complex miner-level evaluations, which increases their computational complexity levels. To overcome these issues, this text proposes design of a novel low-power blockchain via iterative sharding for IoT (Internet of Things) deployments. The proposed model initially collects temporal information about the current IoT scenario and uses an Elephant Herding optimization (EHO) based model to form low-energy & low-delay sidechains. The length of these chains is iteratively modified, which assists in reducing computational complexity even under large scale networks. The EHO Model formulates a mining-delay & mining-energy based fitness function, that allows the model to select optimal chain lengths for context-specific use cases. Due to these enhancements, the proposed model is able to reduce the computational delay by 8.3%, and mining energy by 4.5% when compared with standard blockchain & sidechain models under different realtime use cases. This also allows the model to improve communication throughput and reduce the number of delay jitters for large-scale communication scenarios.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114569858","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 Comparison of Deep Learning Algorithms Dealing With Limited Samples in Hyperspectral Image Classification 高光谱图像分类中有限样本深度学习算法的比较

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114005

Pallavi Ranjan, Ashish Girdhar

引用次数: 0