EPRA International Journal of Research & Development (IJRD)最新文献

{"title":"DEVOPS OPTIMIZED NAVIGATION: BUILDING A DEVOPS CI/CD PIPELINE","authors":"M. Priyanka, K. Sindhuja, V. Madhuvani, K. Prasoona Sowpthika, K. Kranthi Kumar","doi":"10.36713/epra16292","DOIUrl":"https://doi.org/10.36713/epra16292","url":null,"abstract":"DevOps Optimized Navigation: Building a DevOps CI/CD pipeline aims to implement devops practices via building campus navigation for our college. The application displays different blocks of our college where the user can navigate. This system will be useful especially for new comers and people those who are unfamiliar with the campus layout. People equipped with any mobile phone can easily scan the QR Code to open the website and select the destination for navigation. The optimal path is visible via google maps. For DevOps, we have used Amazon Web Services(AWS) .GitHub is used as version control platform. A tool called Jenkins is used for continuous integration and continuous deployment which is a open source tool. Our Project is a flask application which is deployed using Docker container. Our project provides a solution that not only simplifies the navigation but also ensures responsiveness to different screen sizes and global accessibility to provide user friendly experience.\u0000KEYWORDS – DevOps, GitHub, AWS Cloud, Jenkins, Docker, Flask, Navigation","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"56 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140751580","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}

{"title":"A SURVEY ON MULTIMODAL SENSORY INTERACTION IN AUGMENTED REALITY AND VIRTUAL REALITY","authors":"Shanmughapriya M, Sanchana R, Josephine Ruth Fenitha","doi":"10.36713/epra16270","DOIUrl":"https://doi.org/10.36713/epra16270","url":null,"abstract":"AR & VR – Augmented reality and Virtual Reality what was one a dream is now a reality and used by millions of people in gaming environment and other domains. The recent marketing of cost-effective devices has increased the use of AR and VR. AR and VR is used in many industries like construction, manufacturing, education, fashion designing, healthcare etc., MRITF-Mixed Reality Interfaces have made a huge impact on creating new environments from which industries like education, military training, design etc., can have major benefits. This paper focuses on three factors i) How AR & VR tools work- the technology behind multi modal sensory action and reaction 2) The recent market products available in AR and VR iii) The use of AR, VR, MRITF in Industry. \u0000INDEX TERMS – Augmented Reality, Virtual Reality, Multimodal Sensory Interaction","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"77 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140751944","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}

{"title":"ELECTRONIC VOTING USING DECENTRALIZED SYSTEM BASED ON ETHEREUM BLOCKCHAIN","authors":"D.Jyothi Reddy, B. Vineetha Lakshmi, G.Smily Srinidhi, B.Udayasri, Md.Shakeel Ahmed","doi":"10.36713/epra16278","DOIUrl":"https://doi.org/10.36713/epra16278","url":null,"abstract":"Electronic Voting Using Decentralised System Based On Ethereums Blockchain is a system made in the form of application used for Electronic Voting. This is done to solve the current problem on conventional electronic voting system where the integrity of the data can not be as certain and the result of the vote can be tampered malicious actors. To solve this problem, an electronic voting system will be built that store the data of election results on blockchain to ensure the integrity of the data. The creation of the system involves using the Solidity language, a Turing Complete programming language used on Ethereum. Source code that will be run will rst need to be compiled into Bytecode, which will then in turn run on Ethereum Virtual Machine. The finished program will then be decentralised using Blockchain.\u0000KEYWORDS – Blockchain, Decentralised System, Electronic Voting, Ethereum, Smart Government","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"14 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140753998","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}

{"title":"FARMGUIDE USING AI TECHNIQUES","authors":"G. Kavya Siri, B. Madhavi, A. Bhavani, A. Lakshmi Sowjanya, A.V.S. Sudhakar Rao","doi":"10.36713/epra16229","DOIUrl":"https://doi.org/10.36713/epra16229","url":null,"abstract":"Farming is one of the major sectors that influences a countrys economic growth. In country like India, majority of the population is dependent on agriculture for their livelihood. Many new technologies, such as Machine Learning and Deep Learning, are being implemented into agriculture so that it is easier for farmers to grow and maximize their yield. In this project, we present a website in which the following applications are implemented, Crop recommendation, Fertilizer recommendation and plant disease detection. In the crop recommendation application, the user can provide the soil data from their side and the application will recommend top three crops which are suitable for their land. For the fertilizer recommendation application, the user can input the soil data and the type of crop they are growing, and the application will predict what the soil lacks or has excess of and will recommend required fertilizer. For the last application, that is the plant disease detection application, the user can input an image of a diseased plant leaf, and the application will detect the disease. To implement this application we are using the XG Boost, Random Forest, and CNN algorithms.\u0000KEYWORDS – Crop Recommendation, Fertilizer Recommendation, Disease detection, XG Boost, Random Forest, CNN","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"10 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140365846","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}

{"title":"PROCEDURES FOR CARRYING OUT BIOLOGICAL CONTROL MEASURES AGAINST OWLET MOTHS IN THE POTATO BIOTOPE OF THE AGROBIOCENOSIS OF KARAKALPAKSTAN","authors":"Toreniyazov E.Sh, Rozimova A.P","doi":"10.36713/epra15833","DOIUrl":"https://doi.org/10.36713/epra15833","url":null,"abstract":"The results of the studies conducted on the types, bioecology of pests that cause damage to potato varieties grown in Karakalpakstan and biological control measures against them are presented.\u0000KEY WORDS: Plant, variety, seedling, harvest, pest, rodents, owlet moths, biology, dynamics, trichogram, biological usefulness.","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"04 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140377567","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}

{"title":"FORECASTING THE FUTURE: A COMPARATIVE ANALYSIS OF ML AND DL MODELS IN SUPPLY CHAIN DEMAND PREDICTION","authors":"Rishi Varsha Poranki, Kalyani Pattima, Meghana Yalagala, Namitha Suraboina, K. Thrilochana Devi","doi":"10.36713/epra16211","DOIUrl":"https://doi.org/10.36713/epra16211","url":null,"abstract":"Supply chain demand forecasting is a strategic process aimed at predicting future customer demand for products within the broader framework of a supply chain. This involves forecasting the anticipated quantity of goods or services that customers will purchase and seamlessly integrating this insight into the overall supply chain management. The primary goal is to synchronize production, procurement, and distribution activities with expected demand, thereby optimizing inventory costs, minimizing instances of under stocking or overstocking, reducing waste, and ultimately enhancing overall supply chain efficiency. The emphasis is on leveraging advanced technologies, including deep learning techniques such as CNN, LSTM, CNN+LSTM, GRU, and machine learning techniques like Linear Regression and XGBoost, to achieve accurate predictions. By implementing these algorithms, businesses can construct a robust forecasting system capable of monitoring changes in demand and aligning supply accordingly. This proactive approach empowers retailers to enhance their inventory and planning efficiency, ultimately contributing to increased customer satisfaction.\u0000KEY WORDS: Machine Learning, Deep Learning, XG Boost, Linear Regression, CNN, LSTM, CNN+LSTM, GRU","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"115 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140379062","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}

{"title":"STUDENT EXPRESSION DETECTION IN E-LEARNING PLATFORMS","authors":"K. Sai Bhavya Sri, K. Sai Swetha, K. Bhavani, M. Venkata Sahitya, Naga Babu Pachhala","doi":"10.36713/epra16128","DOIUrl":"https://doi.org/10.36713/epra16128","url":null,"abstract":"Our research suggests a deep learning method for determining how engaged students are with their online courses. Our method makes use of convolutional neural networks (CNNs) to interpret facial expressions that are recorded via webcams during online conversations. To provide the best possible model input, we preprocess face photos and select a varied dataset. The CNN architecture captures both spatial and temporal dependencies, enhancing engagement level detection accuracy. Our model performs well in classifying expressions that indicate curious, distracted, enthusiastic, observant, uninterested through training and validation. In conclusion, that the online learning experience may be enhanced by using deep learning algorithms for engagement detection, making it more advantageous and successful for students.\u0000KEYWORDS – CNN, Webcams, Engagement level, Online learning, Deep Learning, Facial expressions","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"75 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140377770","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}

{"title":"STUDY OF VELOCITY DISTRIBUTION OVER A NON-LINEAR STRETCHING IN PRESENCE OF VISCO-ELASTIC LIQUIDS","authors":"Dr. Naveen Kumar N P","doi":"10.36713/epra16208","DOIUrl":"https://doi.org/10.36713/epra16208","url":null,"abstract":"The study deals with the investigation of velocity of a boundary layer flow of a visco-elastic liquid over an non-linear stretching sheet. For analyzing velocity profiles have been employed for reducing the nonlinear model equation to a system of ordinary differential equations by employing analytical method velocity distribution are studied.\u0000It is found that with the increase of magnetic field intensity the fluid velocity at a particular point of the sheet the fluid velocity decreases.\u0000KEY WORDS: Visco-elastic, Newtonian fluid, viscosity","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"102 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380973","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}

{"title":"PROJECT SAVE: AS A STRATEGY IN IMPROVING LITERACY THROUGH VOCABULARY INTEGRATION AMONG GRADE 8 LEARNERS","authors":"Rose Anne Nequinto Calinagan","doi":"10.36713/epra16170","DOIUrl":"https://doi.org/10.36713/epra16170","url":null,"abstract":"This study aimed to investigate if the vocabulary integration before discussion will be effective in improving literacy level of Grade 8 learners. Specifically, it answered the following research questions: (1) What is the level of the participants performance in the pre-test? (2) What is the level of the participants performance in the post test? (3) Is there a significant difference between the pre-test and post-test of the participants before and after the implementation of the vocabulary integration? (4) Based on the findings, what actions can be planned and implemented to improve the participants literacy level. \u0000The participants were 2 groups of Grade 8 learners. They were selected through purposive sampling which entails that the following criteria were met: (1) Grade 8 group of students with the least average in MPS in MELC number one which is Determine the meaning of words and expressions that reflect the local culture by noting context clues. (2) Most members of the class are struggling reader based on Phil-Iri result S.Y 2022-2023. A teacher-made pre-test was administered before presenting this proposed strategy, followed by a posttest after its utilization. Mean (M) and Standard Deviation (SD) were utilized to determine the level of students performance in scaling before and after applying Project SAVE. To determine the significant difference of students literacy level before and after applying Project SAVE, T- test for two dependent means (paired t-test) was used.\u0000The results showed that out of 83 students no one got excellent score, 14 very satisfactory and 34 satisfactory score on pretest as compared to posttest, 34 learners achieved excellent score, 35 very satisfactory and 13 satisfactory. The mean score increased significantly from satisfactory to very satisfactory, as well as the standard deviation. Therefore, it can be concluded that the implementation of Project SAVE using SIM has a positive impact on the learners literacy level. Thus, it is recommended for other Grade 8 learners and or other Grade levels.\u0000KEYWORDS: Project SAVE; Strategy for Learners Literacy Improvement.","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":"109 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380561","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}

{"title":"ERANDA PATRA (Ricinus communis L.) AS A KRIMIGHNA DRAVYA (ANTIMICROBIAL DRUG) WITH SPECIAL REFERENCE TO ESCHERICHIA COLI BACTERIA- AN IN VITRO STUDY","authors":"Joel I. Alvarez","doi":"10.36713/epra16077","DOIUrl":"https://doi.org/10.36713/epra16077","url":null,"abstract":"One of the Department of Educations (DepEd) programs is the K-12 program. They extended it for two more years to give students more time to consider their options for the future. The Senior High School (SHS) program had four tracks: Arts and Design, Sports, Technical and Vocational, and Academic, which included the Science Technology Engineering and Mathematics (STEM) strand. STEM is understood to be an integral part of math and science courses at the school level. It also contributed to the development of 21st-century abilities for all learners. This study determined the status of STEM students in the Philippines. Through descriptive research, this study described and analyzed the trends in the enrolment of STEM students as well as the factors that explain the dropout rate of STEM students. The data under this study came from a trusted source, which is the Department of Educations reports of enrollment from 2016- 2021. The enrollment rate and completion rate of SHS-STEM students are steadily increasing year after year. Thus, different intervention activities were proposed to address the identified factors that led to students dropping out of the STEM track. In addition, the findings of this study were used to improve the STEM strands implementation in SHS and helped future generations as well as the Department of Education in the effective implementation of STEM education across the country.\u0000KEYWORDS: STEM, Department of Education, SHS, Enrollment rate, Completion rate.","PeriodicalId":114964,"journal":{"name":"EPRA International Journal of Research & Development (IJRD)","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140215134","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}