International Journal of Advanced Trends in Computer Science and Engineering最新文献_第4页

Web3 Technology: The New Beginning Web3技术:新的开始

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-08 DOI: 10.30534/ijatcse/2023/061222023

引用次数: 0

An Information System for Private Dental Clinic with Integration of Chat-Bot System: A Project Development Plan 结合聊天机器人系统的私人牙科诊所信息系统:项目开发计划

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-08 DOI: 10.30534/ijatcse/2023/011222023

Jovanne C. Alejandrino, Efhrain Louis P. Pajota

{"title":"An Information System for Private Dental Clinic with Integration of Chat-Bot System: A Project Development Plan","authors":"Jovanne C. Alejandrino, Efhrain Louis P. Pajota","doi":"10.30534/ijatcse/2023/011222023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/011222023","url":null,"abstract":"Businesses that use Information Systems are likely to have an advantage over those still using conventional systems. This paper proposes a design of a Web-based Dental Information Management System for a private dental clinic. This design will facilitate the automation of business processes such as storing dental records, billing processing, generation of reports, and integration of Artificial Intelligence through Chatbot technology for smart appointment systems, as well as accessibility to various users, including patients, dentists, and staff. For software development and testing, the project will use the V-Model methodology. The Information System development plan was prepared by first identifying major work packages and conducting stakeholder interviews. Thus, the time and cost needed were estimated, which led to the creation of a budget plan with an amount of PHP431,774.04 with a total duration of 158 working days. A two-year Financial Viability analysis is used to determine the project’s cost/benefits evaluation. If the clinic serves an average of 10 clients per day, the time spent on the activities is reduced to 68.75%, which implies it can handle more patients because the processing time is significantly reduced. It is recommended for future improvement of this plan to integrate Decision-support systems for detecting tooth diseases and dental treatments in patients.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124568681","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

Minutia Extraction Based Electronic Voting Machine 基于细节提取的电子投票机

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-08 DOI: 10.30534/ijatcse/2023/021222023

引用次数: 0

Smart Water Purifier Using IoT 使用物联网的智能净水器

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-08 DOI: 10.30534/ijatcse/2023/051222023

引用次数: 0

An Event Management Information System with Smart Budgeting using Apriori Algorithm: A Project Development Plan 基于Apriori算法的智能预算事件管理信息系统:一个项目开发计划

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-08 DOI: 10.30534/ijatcse/2023/041222023

{"title":"An Event Management Information System with Smart Budgeting using Apriori Algorithm: A Project Development Plan","authors":"","doi":"10.30534/ijatcse/2023/041222023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/041222023","url":null,"abstract":"Given the critical relevance of creating an enhanced information system for a business and the potential for resolving transaction-based issues for event organizations in the locality, this project plan proposes an Event Management System with Smart Budgeting using Apriori algorithm for an event organizing business. Furthermore, it mainly focuses on major processes such as organizing client information, processing of billing, creating of supplier, client, and admin modules, report generation and the integration of smart budgeting approach using a data mining algorithm. The project plan employs the use of V-model software development for designing the structured and organized work breakdown structure. A total of 148.21 mandays with a total cost of P376, 985.47 were computed for the completion of the proposed information system. The plan employs the use of different technologies for the development. Additionally, the project team are also carefully identified based on specific qualifications and standards. Test cases, test schedules, and documents are all classified in the plan including the strict implementation of the methodology. A one-year sales projection was also presented to check the breakeven point and to determine the cost and benefits of the plan. The results show that there is an increase of sales after the time spent of catering each client is decreased to 65%. Thus, the cost of the project plan will be regained after a few months. It is recommended to employ new technologies including augmented and virtual reality, live streaming and simulive in the conduct of the events for better user experience.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122794348","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

Tsunami People's Monitoring System for East Coast of Hindustan. Proposition on Development and Implementation 印度斯坦东海岸海啸民众监测系统。关于发展和实施的建议

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-02-10 DOI: 10.30534/ijatcse/2023/051212023

引用次数: 0

Multi-agent Reinforcement Learning Approach to Enhance Proactive and Resilience System based IoT 多智能体强化学习方法增强基于物联网的主动和弹性系统

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-02-10 DOI: 10.30534/ijatcse/2023/061212023

{"title":"Multi-agent Reinforcement Learning Approach to Enhance Proactive and Resilience System based IoT","authors":"","doi":"10.30534/ijatcse/2023/061212023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/061212023","url":null,"abstract":"Internet of Things (IoT) systems that use reinforcement learning and multi-agent system are described in this research. Intelligent agents reside on computers that comprise this system. They enable a system to take independent actions, communicate with other systems, and adapt to changing situations. We presented a system that uses intelligent agents embedded in machines to determine which procedures are most critical and how they should be distributed. Robots with intelligent agents can improve their decision-making abilities. The proposed system and transmitting rule function compare the scheduling problem with early completion, efficiency, and delay in checking the system and the dispatching. Multi-agent using resilience systems are competitive even in a continually developing environment. It is possible that reinforcement learning with intelligence agents will be used in the future because it provides users with a unique approach to problem-solving. Additionally, these methodologies have new ways to optimize complex systems in scheduling, project planning, and other business-related domains when used in conjunction with the Internet of Things (IoT) standard technology. The rest of the paper is organized in give section, after providing the introduction, in 2nd section previous work has been discussed, in the third section, the methodology is discussed, in the 4th dataset and result and discussion is explain in the last work is concluded","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121585588","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

Comparison of Tiktok User Sentiment Analysis Accuracy with Naïve Bayes and Support Vector Machine Tiktok用户情感分析精度与Naïve贝叶斯和支持向量机的比较

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-02-07 DOI: 10.30534/ijatcse/2023/031212023

引用次数: 1

Predicting the Assessment Course Performance of Criminology Students Using Data Mining 用数据挖掘预测犯罪学学生的评估课程成绩

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-02-07 DOI: 10.30534/ijatcse/2023/011212023

{"title":"Predicting the Assessment Course Performance of Criminology Students Using Data Mining","authors":"","doi":"10.30534/ijatcse/2023/011212023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/011212023","url":null,"abstract":"Living in this changing era where things constantly change overtime, transitioning means not a big thing. Obviously, nowadays even learning often takes place outside of traditional educational settings. This study aims to determine the performance of criminology students in the assessment course. The research covers the analysis of the performance of Criminology students of Legacy College of Compostela in the Assessment Course with six (6) subject areas. The data were taken from the College of Criminal Justice Education (CCJE) students’ evaluation, Multiple Linear Regression was employed to predict the students’ performance in the assessment course. The data mining study results were acquired using IBM SPSS as the Modeler to transform the data and extract relevant information, which was then used for the conclusion. Based on the results, it can be concluded that the subjects of Crime Detection and Investigation and Law Enforcement Administration significantly influence the outcome of the students' assessments. Therefore, to concentrate on reviewing other areas with students, such as correlational administration, criminalistics, criminal law and procedure, and criminal sociology, might be useful in improving students' performance","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123462554","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

Healthy-State and Time-To-Failure Assessment of Induction Motors and Pumps for Maintenance Scheduling Using Cloud-Enabled Fault Prediction and Reporting System with Machine Learning Scheme 基于机器学习方案的云故障预测和报告系统的异步电机和泵的健康状态和故障前时间评估

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-02-07 DOI: 10.30534/ijatcse/2023/041212023

{"title":"Healthy-State and Time-To-Failure Assessment of Induction Motors and Pumps for Maintenance Scheduling Using Cloud-Enabled Fault Prediction and Reporting System with Machine Learning Scheme","authors":"","doi":"10.30534/ijatcse/2023/041212023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/041212023","url":null,"abstract":"Every industry relies heavily on electrical machines. When these machines fail without giving a signal or warning, there is unplanned downtime and unanticipated deployment of maintenance staff which may affect or lower production if machines are serving as important assets. Some failures can lead to greater damage, instead of one machine or item being replaced a lot of resources will be needed to repair once a machine fails and assets will have a shorter life expectancy. There are also safety issues associated with running a machine to failure. Running a machine to failure also increases labour costs and safety costs. Therefore, this paper proposes a Cloud-Enabled Fault Prediction and Reporting System with Machine scheme for Healthy-State and Time-To-Failure Assessment of Induction Motors and Pumps for Maintenance Scheduling. This system uses sensors to extract data (current, speed, temperature, vibrations). The extracted data is then conditioned and compared to the values related to the healthy state of the equipment using machine learning algorithms, manufacturer specifications, and historical readings to identify performance non-conformities or items that require action and display the asset health report which will help schedule a proper maintenance procedure based on analysis.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130708134","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