2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)最新文献_第3页

Dark Web: A Review on the deeper side of the Web 暗网:对网络深层一面的回顾

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113989

C. Prabha, Abhishek Mittal

引用次数: 0

Adoption of Robotic Process Automation in Micro Small and Medium Enterprises 机器人过程自动化在中小微企业中的应用

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113959

Dhanya Pramod, V. S, K. Patil

{"title":"Adoption of Robotic Process Automation in Micro Small and Medium Enterprises","authors":"Dhanya Pramod, V. S, K. Patil","doi":"10.1109/OTCON56053.2023.10113959","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113959","url":null,"abstract":"The study developed a technology adoption model to assess the intent of micro, small, and medium-sized businesses (MSMEs) across several industries to use robotic process automation (RPA). The model captured the impact of individual, social, and system characteristics on the ease of use and usability perception of RPA among MSMEs. Technology acceptance model (TAM3), validated primary responses collected from managers and owners of MSMEs operating in the industrial zones of the Pune industrial region (N=279). The results based on a structural equation model analysis indicate that perceived external control did not influence the ease-of-use perception (PEOU), and results demonstrability did not influence the perceived usefulness (PU) of RPA among the MSME respondents. The significant influencing factors for PEOU are perceived motivation, self-eff$iota$cacy, technophobia, and perceived obstacles. Subjective norms, Job relevance, and output quality significantly determined PU. PEOU and PU significantly impacted the MSME’s intention to adopt RPA. The study will help MSMEs establish plans for implementing RPA and give MSME decisionmakers more confidence.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"20 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":"131416581","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

Design And Analysis Of Qos Based Routing Protocols For Dynamic Data Transmission In Wireless Adhoc Networks 基于Qos的无线自组织网络动态数据传输路由协议设计与分析

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114023

Krishnaiah Boyana, Venkateswara Rao Gurrala, G. Swamy

引用次数: 0

Quantification of Power System Flexibility: A Review 电力系统灵活性的量化:综述

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113939

Abhishek Harit, P. Jain, S. Yamujala, R. Bhakar

{"title":"Quantification of Power System Flexibility: A Review","authors":"Abhishek Harit, P. Jain, S. Yamujala, R. Bhakar","doi":"10.1109/OTCON56053.2023.10113939","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113939","url":null,"abstract":"Traditional power system operations rely on controllable fossil fuel-based generators to meet unanticipated changes in electricity demand and contingencies. However, high penetration of Renewable Energy Sources (RES), especially solar and wind, increases randomness in the netload. This intermittency leads to inaccurate netload prediction and loadgeneration imbalances. Power systems with a high share ofRES require additional operational flexibility to cope with supplydemand mismatches. While flexibility can be enhanced using various measures, system operators need to quantify its requirements and availability in the system to ensure smooth real-time operations. Recent literature presents various methods for flexibility quantification. To consolidate various works presented in the domain, this paper presents a detailed literature review on flexibility quantification methods. Based on the mathematical formulation, the literature is classified into 1) Deterministic and 2) Probabilistic approaches. Further, the work highlights the challenges of each quantification method. Finally, this paper highlights the impact of flexible resource failure on power system operations and emphasizes the need to consider reliability of resources in the quantification methods.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"4 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":"117061358","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

Success and failure rate prediction of Android Application using Machine Learning 基于机器学习的Android应用成功失败率预测

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113988

Swagatam Jay Sankar, Utkrisht Singh, I. Ali, M. Naskar, Mahendra Kumar Gourisaria

{"title":"Success and failure rate prediction of Android Application using Machine Learning","authors":"Swagatam Jay Sankar, Utkrisht Singh, I. Ali, M. Naskar, Mahendra Kumar Gourisaria","doi":"10.1109/OTCON56053.2023.10113988","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113988","url":null,"abstract":"This paper reports a machine learning model to predict the likelihood of success of android applications. As the android applications are play an important role with in the software industry, it would be a beneficial to study the field. There is currently no archived collection or method for predictingthe success rate of these Android applications. In this research work, we establish a dataset consisting of 30, 000 apps taken from the google play store, third-party apps, and apple storeapps. The dataset is complex and contains about 184 features ofa single application. The data are distributed into two classes malware application and benign applications. The redundant information are dropped from the dataset, following that data cleaning, dimension reduction, and mathematical analysis on the dataset is performed. There are three challenges arise i.e. dataset contain missing value, outliers and class distribution is imbalance. Using the standard techniques the missing value and outliers are treated. For imbalance class distribution various sampling method and cost-sensitive approach are considered. The machine learning algorithms like Logistic Regression (LR), Decision Tree (DT), Support Vector Machine(SVM), and ExtremeGradient Boosting (XG-Boost) are used. It is observed that highest accuracy of 84.44% achieved using ADASYN sampling technique using XGBoost classifier.","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":"123948772","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

PEM Fuel Cell based PV/Wind Hybrid Energy System 基于PEM燃料电池的光伏/风能混合能源系统

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114038

Rakesh Kumar Parida

{"title":"PEM Fuel Cell based PV/Wind Hybrid Energy System","authors":"Rakesh Kumar Parida","doi":"10.1109/OTCON56053.2023.10114038","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114038","url":null,"abstract":"Due to the rapidly rising energy consumption, depleting fossil fuel resources, global warming, and harm to the environment and ecosystem, there is a greater need for clean, sustainable energy sources, such as wind, solar, biomass, and others, that are highly efficient and require little maintenance. Among all renewable energy sources, photovoltaic and wind energy have the most potential as a source of power generation. This is due to their numerous advantages, such as their endless supply, ease of access and electrical conversion, minimal or no polluting gas emissions, and low cost. This article models and simulates a single gridconnected wind and PV hybrid power system. This hybrid system is made up of a wind turbine system, an external fuel cell, and a PV system that share a DC bus. When combined with renewable energy sources, fuel cells can create an efficient system that can supply power for longer periods of time. Major power quality problems for both grid-connected and standalone systems include harmonics, voltage and frequency fluctuation, and they have a greater impact on weaker grids. The system was developed in MATLAB Simulink, and by analyzing the results, the effectiveness of the system is increased.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"71 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":"125756047","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

Design, analysis and development of cost effective wireless charging for solar powered Electric Vehicle-A future perspective 具有成本效益的太阳能电动汽车无线充电系统的设计、分析与开发——未来展望

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113903

Vaishna Sunil, Poushali Pal, N. Nava Prakash, K. Devabalaji, D. K. D. Saloney

引用次数: 0

A Review on Recent Work On OCT Image Classification for Disease Detection OCT图像分类用于疾病检测的研究进展

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114003

Jahida Subhedar, Anurag Mahajan

引用次数: 0

Gesture Controlled Bot 手势控制机器人

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114047

Jaspreet Kaur, Piyush Mishra, Prince Singh, P. Singh

引用次数: 0

Hybrid Recommendation System with Enhanced Generalized Sequential Pattern Algorithm for ELearning System 基于增强广义顺序模式算法的电子学习系统混合推荐系统

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114040

B. Krishna, Chilukoori Ravinder, Rakesh Nayak, F. Parvez

{"title":"Hybrid Recommendation System with Enhanced Generalized Sequential Pattern Algorithm for ELearning System","authors":"B. Krishna, Chilukoori Ravinder, Rakesh Nayak, F. Parvez","doi":"10.1109/OTCON56053.2023.10114040","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114040","url":null,"abstract":"Recommendation system have been established crucial role in the different applications such as online applications, e-learning services, social networks and etc. The traditional recommender systems have recorded significant success in e-learning domain, they still experience drawbacks in making accurate recommendations of learning resources in differences of learner characteristics such as learning style, knowledge level as well as learners sequential learning patterns. Most of the existing recommendation techniques do not consider differences in learner characteristics. In this research paper, hybrid recommendation system based an efficient sequential pattern mining of Enhanced Generalized Sequential Pattern (EGSP) Algorithm is proposed for recommend the student performance. The proposed recommendation approach helps to extract the more relevant student performance related features from the input data. After that, calculate the similarity based on the features and making predictions for the target learner by cosine metric. Next, generation of top N learning items by the collaborative filtering recommendation engine. At last, application of the EGSP algorithm to the top N learning features to generate the final recommendations for the target learner. An experimental analysis conducted on Learning Management System (LMS) dataset and the performance was measured using an evaluation metrics such as precision, recall, and f-measure. Compared to the GSP-Collaborative Filtering-Content based Approach, the proposed EGSP algorithm achieved 4% of improved recommendation result.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"43 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":"121281095","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