Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022最新文献

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FIRST SYCL IMPLEMENTATION OF THE THREE-DIMENSIONAL SUBSURFACE XCA-FLOW CELLULAR AUTOMATON AND PERFORMANCE COMPARISON AGAINST CUDA 首次同步实现三维地下xca流元胞自动机,并与cuda进行性能比较
{"title":"FIRST SYCL IMPLEMENTATION OF THE THREE-DIMENSIONAL SUBSURFACE XCA-FLOW CELLULAR AUTOMATON AND PERFORMANCE COMPARISON AGAINST CUDA","authors":"","doi":"10.33965/ac_icwi2022_202208l006","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208l006","url":null,"abstract":"","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127630756","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
A QUALITATIVE STUDY ON THE PERCEIVED DRIVERS OF THE DIGITAL DIVIDE IN A DEVELOPING COUNTRY 一个发展中国家数字鸿沟驱动因素的定性研究
{"title":"A QUALITATIVE STUDY ON THE PERCEIVED DRIVERS OF THE DIGITAL DIVIDE IN A DEVELOPING COUNTRY","authors":"","doi":"10.33965/ac_icwi2022_202208c031","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208c031","url":null,"abstract":"","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125490069","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 CASE STUDY FOR ANALYSIS AND PREDICTION IN LEARNING USING A PEER LEARNING SYSTEM 使用同侪学习系统进行学习分析与预测的个案研究
{"title":"A CASE STUDY FOR ANALYSIS AND PREDICTION IN LEARNING USING A PEER LEARNING SYSTEM","authors":"","doi":"10.33965/ac_icwi2022_202208c033","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208c033","url":null,"abstract":"","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132316748","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
USE OF YOLOV5 OBJECT DETECTION ALGORITHMS FOR INSECT DETECTION 使用yolov5目标检测算法进行昆虫检测
{"title":"USE OF YOLOV5 OBJECT DETECTION ALGORITHMS FOR INSECT DETECTION","authors":"","doi":"10.33965/ac_icwi2022_202208c028","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208c028","url":null,"abstract":"","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127207414","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
E-MONEY SECURITY DILEMMA: ADVANCED CYBERSECURITY MECHANISMS AND LEGACY MOBILE PAYMENTS IN SUB-SAHARAN AFRICA 电子货币安全困境:撒哈拉以南非洲先进的网络安全机制和传统移动支付
Fabrice Neza, Anthony Joseph, M. Joseph
{"title":"E-MONEY SECURITY DILEMMA: ADVANCED CYBERSECURITY MECHANISMS AND LEGACY MOBILE PAYMENTS IN SUB-SAHARAN AFRICA","authors":"Fabrice Neza, Anthony Joseph, M. Joseph","doi":"10.33965/ac_icwi2022_202208l013","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208l013","url":null,"abstract":"Mobile Network Operators (MNO) infrastructures are expanding in many Sub-Saharan African (SSA) countries that are increasingly adopting mobile payment services. The adopted model is outdated and not compliant with today’s more secure, dynamic, and application-driven environments. Unstructured Supplementary Services Data (USSD) legacy technology is widely deployed in SSA countries due to several factors including compatibility with handsets, user experience, cost, and ease of deployment for the MNOs. A survey reveals that USSD is used by approximately 65-75% of the population for mobile payments. The MNOs infrastructure was developed for connectivity, rather than security, making the e-money ecosystem prone to cyber-attacks. End-to-end encryption (E2EE) is one of the recommended cybersecurity solution mechanisms. This research shows that tokenization with identity based encryption techniques is a suitable model to secure financial transactions over USSD as it provides an end-to-end encrypted path when combined with Internet Protocol Security (IPSec) and Transport Layer Security (TLS) while lessening changes to the technology itself and the underlying network. This implementation introduces additional cost for maintenance and management, and therefore, the governments need to adopt market-friendly laws, regulations, and policies to develop employable skills and facilitate MNOs’ return on investment.","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122046933","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
TORUS-CONNECTED TOROIDS: AN INTERCONNECTION NETWORK FOR MASSIVELY PARALLEL SYSTEMS 环面连接的环面:用于大规模并行系统的互连网络
{"title":"TORUS-CONNECTED TOROIDS: AN INTERCONNECTION NETWORK FOR MASSIVELY PARALLEL SYSTEMS","authors":"","doi":"10.33965/ac_icwi2022_202208l003","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208l003","url":null,"abstract":"","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129649904","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
ENHANCING TYPE SYSTEMS WITH FIRST-CLASS PATTERNS 用一级模式增强类型系统
L. Hamel, Timothy Colaneri, Oliver McLaughlin
{"title":"ENHANCING TYPE SYSTEMS WITH FIRST-CLASS PATTERNS","authors":"L. Hamel, Timothy Colaneri, Oliver McLaughlin","doi":"10.33965/ac_icwi2022_202208c024","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208c024","url":null,"abstract":"It has been observed that patterns and in particular first-class patterns can be used to enhance the type systems of procedural languages, especially dynamically typed procedural languages. Here we describe some recent findings of our ongoing research on the impact of first-class patterns on the type system of our Asteroid programming language, a dynamically typed, multi-paradigm programming language that supports first-class patterns. First, we show that first-class patterns allow us to specify subtypes of data types providing a light-weight mechanism for type checking function domains amongst other things. Next, we introduce the idea of a pure constraint pattern which is a pattern that functions like a regular pattern but does not introduce any spurious bindings into the current scope. This is particularly useful for preventing non-linearities in formal function arguments when using first-class patterns. Finally, we demonstrate that first-class patterns can be used to define abstract base types enabling subtype polymorphism. This is particularly powerful in object-based languages like Asteroid that lack inheritance and therefore cannot rely on that mechanism to provide subtype-supertype relationships between user defined types.","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128689210","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
HMEDASYS: HOME MEDICATION INTAKE ALERT SYSTEM Hmedasys:家庭用药提醒系统
Jardson Rodrigues, C. Soares, P. Sobral, R. Moreira, J. Torres
{"title":"HMEDASYS: HOME MEDICATION INTAKE ALERT SYSTEM","authors":"Jardson Rodrigues, C. Soares, P. Sobral, R. Moreira, J. Torres","doi":"10.33965/ac_icwi2022_202208l018","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208l018","url":null,"abstract":"The use of medication as treatment is often crucial to improve a patient's health. This process involves several factors, and often patients forgot to take their medicine. Thus, mechanisms that can contribute to therapy adherence are fundamental. The goal of this work has been the development of a real-time and automatic video object recognition system (HMEDASYS) to be used in the context of adherence and medication taking in-home care. The methodology followed has been to train a classifier model for medication pack recognition using Deep Learning. Combining and organizing data from previously annotated images, we retrained a neural network using the YoloV4-tiny Framework. In the experiments developed, two different classes of medicines were used for training and the system achieved a mAP of 98.33% on the test set. During the operation of HMEDASYS, the medication packs are real-time monitored using a video camera coupled with the developed system. In further 8 evaluation scenarios of the operation, only two errors were verified in a total of 16 medication packs to be identified.","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"450 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128890494","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
CO-CREATING ICT SOLUTIONS TO AID MIGRANT INTEGRATION: LESSONS LEARNED FROM THE H2020 MIICT PROJECT 共同创建信息通信技术解决方案以帮助移民融入社会:从h2020移民项目中吸取的经验教训
Karen Latricia Hough, Babak Akhgar
{"title":"CO-CREATING ICT SOLUTIONS TO AID MIGRANT INTEGRATION: LESSONS LEARNED FROM THE H2020 MIICT PROJECT","authors":"Karen Latricia Hough, Babak Akhgar","doi":"10.33965/ac_icwi2022_202208c034","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208c034","url":null,"abstract":"This paper presents the results of the prestigious Horizon 2020 MIICT: ICT-enabled services for migration innovation project. The project was conducted by a multidisciplinary team of technical developers, social scientists, lawyers, practitioners, and migration experts in three pilot countries of Cyprus, Spain, and Italy. The project focused on deepening societal understanding of the factors that impact upon refugee and migrant populations’ ability to access key public services and subsequently created an ICT solution to solve these problems. The project deployed a co-creation methodology, which proved essential when designing ICT solutions to aid migrant integration, enabling researchers to involve both the migrants and those assisting them in their migration journeys, namely NGOs and service providers in the study as co-researchers. The researchers, together with the participants co-designed a multilingual, intuitive, inclusive, interactive platform called IMMERSE that catered for the real needs of migrants, asylum seekers and refugees. The innovative co-creation methodology deployed empowered migrants to be proactive and independent in their migration journeys and the resulting interactive platform created provides vital access to information and services like health, language, housing, employment, education, and legal assistance in a one-stop-shop design. This paper further highlights the lessons learned from the research, concerning the need for digital training courses to be implemented to overcome the digital divide and the inclusion of extensive legal and ethical protocols in migrant languages, to be integrated into the platform to counteract migrants’ fears of digital surveillance and create confidence and wider usage of the ICT platform.","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133516719","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
CLASSIFICATION OF FINANCIAL MARKETS INFLUENCERS ON TWITTER 推特上金融市场影响者的分类
Inês Almeida, André Sabino
{"title":"CLASSIFICATION OF FINANCIAL MARKETS INFLUENCERS ON TWITTER","authors":"Inês Almeida, André Sabino","doi":"10.33965/ac_icwi2022_202208l022","DOIUrl":"https://doi.org/10.33965/ac_icwi2022_202208l022","url":null,"abstract":"Information published by social network users can have an impact on the (virtual and physical) community, which supports the concept of influencer, which is a user generally focused on a set of interests (such as fashion, health, well-being, beauty, finances, etc.), whose opinion correlates with the behavior observed in a community of users who share those interests. The same concept of social network influencer may also be explored in the financial markets, considering user profiles whose expressed opinions align with the performance of a company's shares. Several users interested in the stock exchange use Twitter as a platform to express their opinions on stocks. Considering that tweets express either a positive, negative, or neutral feeling about a stock, we present a model to describe the profile of an influencer, as well as analyze the correlation between their tweets and the performance of a stock. Relying on a genetic algorithm to best describe an influencer’s profile and selecting the best fit from a set of features, this study provides a comparison between sentiment analysis techniques, applied on social network content, produced by potential influencers. We present a study of several sentiment analyses approaches, namely using Support Vector Machines, Neural Networks, Naïve Bayes, and K-Nearest Neighbors. Results show that the method with the best performance is the Neural Network. This outcome is used as a parameter for analyzing an influencer's tweets. Validation shows that, by integrating a genetic algorithm for influencer detection with a sentiment analysis technique based on Neuronal Networks, it is possible to identify users with social network content sentiment score correlated with variations in a share price, thus representing an information signal suitable to be used by prediction models.","PeriodicalId":338649,"journal":{"name":"Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022","volume":"37 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120814117","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
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