International Journal of Advanced Research in Computer Science最新文献

{"title":"CSS QUEST: GAMIFYING COMPUTER SYSTEM SERVICING MODULE USING GAMIFIED PROGRESS TRACKING AND INTERACTIVE STORYTELLING ALGORITHM FOR GRADE 12 STUDENTS IN CALAMBA CITY","authors":"Mark Angelo T. Mercado","doi":"10.26483/ijarcs.v14i3.6996","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i3.6996","url":null,"abstract":"CSS Quest is an innovative educational initiative aimed at enhancing the learning experience of Grade 12 students in Calamba City, Laguna, specifically focusing on computer system servicing. This project utilizes gamified progress tracking and an interactive storytelling algorithm to engage students in an immersive learning environment. By merging elements of gaming, progress tracking, and interactive storytelling, CSS Quest seeks to foster a more effective and enjoyable learning process. The gamified progress tracking system empowers students to monitor their own progress, achievements, and goals throughout the module. Students will earn points, badges, and rewards for completing various tasks, solving challenges, and mastering key concepts related to computer system servicing. This gamification approach not only encourages healthy competition among students but also instils a sense of accomplishment, motivating them to actively participate in the learning process. To further enhance engagement, CSS Quest incorporates an interactive storytelling algorithm that presents the module content in a narrative-driven format. Through captivating storylines and characters, students will embark on a virtual journey, simulating real-life computer system servicing scenarios. They will be faced with challenges and problem-solving opportunities that mirror practical situations, thereby honing their critical thinking and decision-making skills. The CSS Quest initiative aims to address the traditional limitations of classroom-based learning by providing an interactive and dynamic platform that resonates with the digital-native generation. By leveraging gamification and interactive storytelling, it creates an engaging and immersive learning experience for Grade 12 students in Calamba City, Laguna. This approach promotes active participation, knowledge retention, and skill development, ultimately preparing students for real-world challenges in the field of computer system servicing.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130550007","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":"PREDICTION OF AIR POLLUTION AND AN AIR QUALITY INDEX USING MACHINE LEARNING TECHNIQUES","authors":"L. Ramesh","doi":"10.26483/ijarcs.v14i2.6972","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6972","url":null,"abstract":"Air pollution is the “world’s largest environmental health threat”, causing 7 million deaths worldwide every year. Its major constituents are PM2.5, PM10 and the harmful green house gases S02, N02, C0 and other effluents from vehicles and factories affecting not only humans but also other living organisms both on land and sea. The only effective solution to this global issue is to implement machine learning algorithms to predict the AQI (Air Quality Index) that can make the people aware of the condition of the air of a certain region such that certain actions could be issued by the government for the improvement of the air quality in the future. The prime objective behind this project is to predict the AQI based on the concentration of PM2.5, PM10, S02, N02, C0 as well as weather conditions like temperature, pressure and humidity .Hence the data set is combined from various web sources like cpcb and uci repository in order to bring accuracy in the prediction and to justify whether the Quality of air is suitable or not. This prediction will be brought about with the help of some supervised machine learning algorithms and the observation and the result will state which algorithm is giving better accuracy in prediction of AQI and which one is giving less error","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116576812","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 COMPARATIVE INVESTIGATION OF E-LEARNING WITH TRADITIONAL LEARNING","authors":"Archana Thakur","doi":"10.26483/ijarcs.v14i2.6958","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6958","url":null,"abstract":"","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133115899","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":"AN ARTIFICIAL NEURAL NETWORK-BASED SECURITY MODEL FOR FACE RECOGNITIONUTILIZING HAAR CLASSIFIER TECHNIQUE","authors":"A. Mishra","doi":"10.26483/ijarcs.v14i2.6952","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6952","url":null,"abstract":"","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125959287","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":"FACTORS AFFECTING THE ADOPTION OF SECURE SOFTWARE PRACTICES IN SMALL AND MEDIUM ENTERPRISES THAT BUILD SOFTWARE IN-HOUSE","authors":"Wisdom Umeugo","doi":"10.26483/ijarcs.v14i2.6955","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6955","url":null,"abstract":"Software has grown enormously in value because of its wide use for domestic, public, and economic activities. Software must be secure because exploited software vulnerabilities can negatively affect individuals’ and organizations' financial, health, and economic well-being. Various authors recommended practicing a secure software development lifecycle (SSDLC) to ensure that software is released secured. Software small and medium enterprises (SMEs), the dominant software publishers, have not widely adopted the SSDLC. This study approached the problem of software SMEs’ inadequate adoption of SSDLC from an innovation adoption perspective based on the diffusion of innovation theoretical framework (DOI). Five DOI factors, relative advantage, compatibility, complexity, trialability, and observability, were assessed for significance to software SMEs’ intention to adopt SSDLC. A random sample of 200 participants from a population of software security decision-makers of software SMEs based in the United States that develop software in-house were surveyed via an online close-ended questionnaire. Relative advantage, compatibility, and trialability were statistically significant to SME SSDLC adoption intention. Complexity and observability were not statistically significant to SME SSDLC adoption intention. Trialability was the strongest predictor of SME SSDLC adoption intention. SME software security decision-makers may find that the results of this study help to determine the factors they should consider when deciding to introduce the SSDLC into their software development process. The result of the study has implications for practice and social change because increased SME SSDLC adoption potentially results in the development of more secure software and fewer software security incidents.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"26 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126062159","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":"PERFORMANCE ANALYSIS OF ROUTING PROTOCOL IN MOBILE AD-HOC NETWORKS","authors":"Jogendra Kumar","doi":"10.26483/ijarcs.v14i2.6962","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6962","url":null,"abstract":"In recent years mobile ad hoc networks have become very popular and lots of research is being done on different aspects of MANET. Mobile Ad Hoc Networks (MANET)-a system of mobile nodes (laptops, sensors, etc.) interfacing without the assistance of centralized infrastructure (access points, bridges, etc.). There are different aspects which are taken for research like routing, synchronization, power consumption, bandwidth considerations etc. This paper concentrates on routing techniques which is the most challenging issue due to the dynamic topology of ad hoc networks. There are different strategies proposed for efficient routing which claimed to provide improved performance. There are different routing protocols proposed for MANETs which makes it quite difficult to determine which protocol is suitable for different network conditions .This paper provides an overview of different routing protocols proposed in literature and also provides a comparison between them.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132018788","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":"AUTOMATIC QUESTION GENERATION SYSTEM BASED NATURAL LANGUAGE PROCESSING USING PYTHON","authors":"S. Selvakani","doi":"10.26483/ijarcs.v14i2.6961","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6961","url":null,"abstract":"","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121423793","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 PREDICTION OF AUTISM SPECTRUM DISORDER USING DATA SCIENCE TECHNIQUES","authors":"R. Ramya","doi":"10.26483/ijarcs.v14i2.6969","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6969","url":null,"abstract":"Autism Spectrum Disorder is a lifelong brain developmental disorder. Diagnosing the level of Autism and predicting the severity of the same are too complex, and it requires a depth analysis of the historical data on the autism patient. Nowadays, Data science techniques play a vital role in diagnosing autism. Decision Tree, Random Forest, Logistic Regression, Adaboost, Naïve Bayse, K-Nearest Neighbour, Support Vector Machine and etc., are the few techniques labeled under the roof of data science are used to predict such disorders. The paper aims to present a survey on the various models proposed by various researchers to predict the severity of autism using data science techniques.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131265287","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":"MERN STACK-BASED CAR RENTAL WEBSITE DEVELOPMENT","authors":"Swastik Chandrashekhar Bakale","doi":"10.26483/ijarcs.v14i2.6971","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6971","url":null,"abstract":"The Car Rental System is a web-based platform designed to provide a user-friendly interface and a seamless rental experience. It is built using the MERN stack, which ensures fast and responsive user interfaces and efficient processing of customer requests and data. The platform includes a payment gateway for secure and swift payment processing, enabling efficient rental transactions. With the increasing demand for car rental services due to the rise of tourism and ride-sharing services, the platform offers a convenient and efficient solution. The system's advanced functionality enables fast retrieval and management of customer data, along with filtering capabilities to facilitate easy navigation and car listing. By integrating a geo-location API, the platform allows customers to find rental cars quickly and easily. MongoDB serves as the platform's database to store and manage customer information, vehicle information, and rental data. The system's flexibility allows renters and rentees to add and delete cars as per their requirements, reducing the time and effort required to rent a car. Overall, the Car Rental System provides a reliable and efficient solution for car rental companies to offer customizable rental experiences to their customers.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116123329","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":"ASSESSING LONG-TERM IMPACTS OF DISASTER USING PREDICTIVE DATA ANALYTICSFOR EFFECTIVE DECISION SUPPORT","authors":"Shailen Mishra","doi":"10.26483/ijarcs.v14i2.6956","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i2.6956","url":null,"abstract":"","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117326085","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}