2022 International Conference on Computer and Applications (ICCA)最新文献

A Novel Non-Inverting Quadratic Double Switch Buck Boost Converter for Charging Lithium-ion Batteries in Electrical Vehicles 一种用于电动汽车锂离子电池充电的新型非反相二次双开关降压升压变换器

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039648

A. Mohamed, H. A. Bastawrous

引用次数: 0

A Deep Learning Approach for Minimizing False Negatives in Predicting Receipt Emails 预测收货电子邮件中最大限度地减少假阴性的深度学习方法

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039606

C. Hirway, Enda Fallon, Paul Connolly, Kieran Flanagan, D. Yadav

{"title":"A Deep Learning Approach for Minimizing False Negatives in Predicting Receipt Emails","authors":"C. Hirway, Enda Fallon, Paul Connolly, Kieran Flanagan, D. Yadav","doi":"10.1109/ICCA56443.2022.10039606","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039606","url":null,"abstract":"Businesses generate receipts for their customers that include information such as the products purchased, their cost, the date and time of purchase, the store id etc. After an online purchase of item/s is made, a receipt is often emailed to the buyer's email address. For this evaluation, a classified database with receipt and non-receipt emails was available. Previously, Machine Learning (ML) algorithms for determining receipt validity had been implemented on this test database. The results showed that the Random Forest technique performed better than Naive Bayes and Support Vector Machine. In this paper, a Deep Learning algorithm named Long Short-Term Memory [LSTM] is implemented and its results compared with the previous implementation. The capacity of this recurrent network to handle the exploding/vanishing gradient problem, which is a challenge when training recurrent or very deep neural networks, is one factor in its success. It was found that LSTM is more effective in terms of accuracy compared to the previous ML approach. Also, the false negative values predicted by LSTM were fewer that those predicted by the ML approach. In the classification of receipt emails, processing an email without receipt data incurs a relatively low cost, yet failing to detect a receipt email results in the loss of important data. As a result, the system needs to be tuned to minimize false negatives while permitting a wider tolerance for false positives since the cost of false negatives in this situation is substantially higher than that of false positives.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161349","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 preliminary study on interdisciplinary programming learning based on cloud computing low-code development platform 基于云计算低码开发平台的跨学科编程学习初探

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039663

Chung-Hsiang Wang, Ko-Chiu Wu

{"title":"A preliminary study on interdisciplinary programming learning based on cloud computing low-code development platform","authors":"Chung-Hsiang Wang, Ko-Chiu Wu","doi":"10.1109/ICCA56443.2022.10039663","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039663","url":null,"abstract":"The application of “programming education” has become one of the future technological trends, and students with design backgrounds should also grasp this important development. In this study, the “AgilePoint NX” program course was established, and computational thinking was introduced into the course to guide students, through the image flow and low-code learning process, to carry out structured thinking and question speculation, and complete task exercises. This aims to teach design students to learn programming and computational thinking through a cloud-based low-code development platform with image processes and interdisciplinary learning processes. We conduct a comprehensive analysis and evaluate the learning effect through classroom learning observation, simple questionnaire survey, imagination scale, and other methods. Finally, the study found that in interdisciplinary programming learning, different factors lead to low learning effects of programming courses for design background students, resulting in different degrees of learning pain points and learning experiences. The power of imagination test is a tentative exploration of this research, but for the low-code development platform with fewer measurement data and biased towards procedural thinking, only predictive exploration has no significant data to show the specific impact on the programming learning process, only As a reference for interdisciplinary study.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133119479","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

The Evolution of Cryptocurrency and Cyber Attacks 加密货币和网络攻击的演变

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039632

Hala Strohmier Berry

引用次数: 1

Towards a global C2C Crowdsourcing Smart Shopper System: An SDLC Development Approach 面向全球C2C众包智能购物系统:SDLC开发方法

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039673

Alyazia Albreiki, Ayesha Almemari, Ahmed Shuhaiber

{"title":"Towards a global C2C Crowdsourcing Smart Shopper System: An SDLC Development Approach","authors":"Alyazia Albreiki, Ayesha Almemari, Ahmed Shuhaiber","doi":"10.1109/ICCA56443.2022.10039673","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039673","url":null,"abstract":"Recently, personal shopper businesses have gained increasing popularity through social media platforms. Many websites and social media pages offer personal shopping services; however, this is limited to a specific number of shopping agents who are available online and are trustworthy to conduct shopping transactions on behalf of the shoppers. Therefore, our goal is to satisfy the consumer's needs and help them find the needed product wherever it is located worldwide, by developing an application of crowdsourcing personal shoppers who are available and cost-effective in many countries and regions. This C2C crowdsourcing personal shopper application is the first to be developed in UAE and, to the best of our knowledge, one of the very few online business models worldwide. Our solution enables people to choose the best quality product, compare prices and save the time and effort of international physical shopping. We employed the System Development Life Cycle (SDLC) methodology to plan, analyze, model, design and implement the system. Limitations and future directions are also specified.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127607619","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

Improve Data Mining Techniques with a High-Performance Cluster 利用高性能集群改进数据挖掘技术

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039629

H. Fadhil, Zainab Abdulnasser, S. Mohammed

{"title":"Improve Data Mining Techniques with a High-Performance Cluster","authors":"H. Fadhil, Zainab Abdulnasser, S. Mohammed","doi":"10.1109/ICCA56443.2022.10039629","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039629","url":null,"abstract":"People's reliance on computers and the computing power they provide is growing by the minute. An ever-increasing amount of data is being created each day, and the power to analyze this data requires the use of cluster computers to process and calculate data. It has been discovered that data clustering is a beneficial data mining approach. There have been a number of recent attempts to cluster data mining methods. Using a Raspberry Pi cluster, this study employs the Apriori algorithm, which is the most generally used algorithm, to extract frequent itemsets from large data sets. The fundamental aim is to build a cluster and provide data analysis capabilities based on an examination of the major clustering phases in order to illustrate the power of cluster computing and the applications of data analytics. Each Raspberry Pi uses the MPI standard and Python multiprocessing to share a large task and then coordinate their findings among a group of four or more MPICH systems at the conclusion of the processing. At the data partitioning stage, the issue of load balancing must be taken into account. According to our testing results, clustering accelerates sequential classification by a factor of 10. There is a noticeable increase in performance when there are additional processors installed. Additionally, we discovered that item count had a bigger effect on clustering performance than transaction count.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123561102","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

Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Firefly Algorithm and Surrogate Optimization 基于萤火虫算法和代理优化的径向网络中风/光伏/电池混合系统的最优运行和成本方案

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039554

M. Abdelwareth, D. Riawan, Chow Chompoo-inwai

引用次数: 0

Design Mobile Application for Blood Donation System 献血系统移动应用程序设计

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039544

Muna M. Hummady

{"title":"Design Mobile Application for Blood Donation System","authors":"Muna M. Hummady","doi":"10.1109/ICCA56443.2022.10039544","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039544","url":null,"abstract":"Computers and cell phones have become more commonplace in a society in addition to the many benefits they provide in our daily lives. Internet communication (through websites and applications) has become essential as a result of the Corona pandemic and the issues it brought up. The difficulty in locating a trustworthy blood bag could result in the loss of many lives. Blood donation is crucial for patients with thalassemia, cancer patients, accident victims, and surgical procedures. To donate blood, one must research and visit a blood bank. In a time crunch, it could be challenging to choose the best donor. Because unusual blood types aren't always available at all blood banks, recipients often struggle to find the appropriate blood donor. To address the issue of a lack of blood bags, it is evident in a blood bank's inadequate management, the elimination of uncommon blood types, a lack of understanding and confidence, and the challenge of determining a specific blood group. This project aims to design and deploy a mobile application. It is advised to make use of a blood donation app that is connected to the main database that compiles and arranges information from all blood donation drives and blood banks. All necessary blood donation processes are managed and controlled by the proposed application. The front end of the application is built using JavaScript in this project (React native is used as the framework for JS), and the back end is built using Firebase as the database.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"33 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121010847","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

Proceedings ICCA 2022

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/icca56443.2022.10039556

引用次数: 0

Methods for Handling Spontaneous Health Arabic Queries using unsupervised machine learning 使用无监督机器学习处理自发运行状况阿拉伯语查询的方法

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039617

Daoud M. Daoud, S. El-Seoud, Fuad Alhosban, Ali Farhat

引用次数: 0