2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)最新文献_第4页

Design, Development, and Implementation of Internet of Things Enabled Laboratory 物联网实验室的设计、开发与实现

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10099704

Zineddine N. Haitaamar, Balaji Ramachandran, Jayakumar V. Karunamurthy

{"title":"Design, Development, and Implementation of Internet of Things Enabled Laboratory","authors":"Zineddine N. Haitaamar, Balaji Ramachandran, Jayakumar V. Karunamurthy","doi":"10.1109/ITIKD56332.2023.10099704","DOIUrl":"https://doi.org/10.1109/ITIKD56332.2023.10099704","url":null,"abstract":"The Internet of Things (IoT) refers to the interconnected network of physical devices, vehicles, buildings, and other objects that are embedded with sensors, software, and network connectivity, enabling them to collect and exchange data. As the number of connected devices and applications has increased significantly in recent years, the IoT has become a key feature of the modern technological ecosystem. One major challenge facing society today is the issue of energy scarcity, and there has been a growing focus on finding ways to increase energy efficiency. One approach to addressing this challenge is to use the IoT to monitor and optimize energy usage in various settings. This paper presents the design and implementation of an IoT-enabled laboratory that aims to increase energy efficiency over the long term through the use of IoT monitoring and artificial intelligence (AI). The paper describes a practical approach and provides results from the sensors employed in the IoT lab. This research contributes to the growing body of knowledge on how the IoT can be used to improve energy efficiency and address the issue of energy scarcity.","PeriodicalId":283631,"journal":{"name":"2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115326515","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

Improving Recommendation System by using a knowledge Graph Database for Maintenance of Rolling Stock 基于知识图谱的机车车辆维修推荐系统改进

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10099517

Z. Ragala, A. Retbi, S. Bennani

引用次数: 1

Social Engineering via Personality Psychology - Bypassing Users Based on Their Personality Pattern To Raise Security Awareness 基于人格心理学的社会工程——基于人格模式绕过用户提高安全意识

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10100048

Abdulateef M. Yaser Al-Bustani, Abdulatif Almutairi, Abdullah AlRashed, A. W. Muzaffar

{"title":"Social Engineering via Personality Psychology - Bypassing Users Based on Their Personality Pattern To Raise Security Awareness","authors":"Abdulateef M. Yaser Al-Bustani, Abdulatif Almutairi, Abdullah AlRashed, A. W. Muzaffar","doi":"10.1109/ITIKD56332.2023.10100048","DOIUrl":"https://doi.org/10.1109/ITIKD56332.2023.10100048","url":null,"abstract":"In this research, we applied personality psychology within Social Engineering to raise security awareness and identify the awareness level of the Dominance, Influence, Steadiness, and Conscientiousness (DiSC) Personality Model of William Moulton Marston, 1928. By convincing people to click a scam but safe URL through an email message (URL Phishing) phrased to be convincing based on every person's personality pattern, we were able to effectively conduct this pilot study. This URL forwards the user (or victim) to a safe landing page with a security warning, and countermeasures suggested by the U.S. Department of Homeland Security to apply to avoid falling victim to similar attacks, thus raising security awareness. The first goal of this work was to build and analyze a data set of 86 applicants' that contained their name, age, gender, email, and personality pattern. This information was collected through the RBYG TEST by Abdulateef Al-Bustani, 2020, a short personality test of 3 precisely made questions. Accordingly, based on each applicant's behavioral pattern, several social engineering attack scenarios were applied in two stages, Attack 1 & Attack 2, and vulnerability scores were recorded to identify the awareness level of all behavioral patterns in the DiSC Personality Model. We concluded that the most secure personality pattern with the highest awareness level is “Y” / “Influence”, then “B” / “Conscientious”, then “G” / “Stability”, and the weakest is “R”/ “Dominance”. The results of this study can be used as a guide for organizations to raise security awareness, especially for people with the lowest awareness level.","PeriodicalId":283631,"journal":{"name":"2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116502963","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

Automatic Content Searching Model During Blended Learning Class Sessions 混合学习课程中的自动内容搜索模型

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10099657

Mohamed Mahmood Abdulkarim, Mohamed Alsaeed, Sohail Safdar

{"title":"Automatic Content Searching Model During Blended Learning Class Sessions","authors":"Mohamed Mahmood Abdulkarim, Mohamed Alsaeed, Sohail Safdar","doi":"10.1109/ITIKD56332.2023.10099657","DOIUrl":"https://doi.org/10.1109/ITIKD56332.2023.10099657","url":null,"abstract":"Blended Learning is one of the emerging methods of teaching and learning these days. Its fame is due to the integration of both electronic as well as traditional teaching methods that has proven remarkable outcomes. It is noted that the students require an access of additional resources while they attend their lectures. In e-learning they have this provision of searching related reference material either after their lecture class or they may do so in advance, if guided. However, it may be noted that, having the reference material right at the time of ongoing lecture may help the student not to miss any important concept but also improves their learning experience. The main objective of this research is to enhance the literature search by applying it during active lecture sessions. The research adapted the voice recognition system to acquire the keywords from instructor's voice during lecture. Stemming and TF -IDF is used to acquire relevant keywords that results in the formulation of desired key strings. The process has worked in background and produced significant results in comparison to traditional search methods.","PeriodicalId":283631,"journal":{"name":"2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121565950","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

Investigating the Value of Using Emotionally Intelligent Artificial Conversational Agents to Carry out Assessments in Higher Education: Review 探讨在高等教育中使用情感智能人工会话代理进行评估的价值:综述

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10099518

S. Alaswad, Tatiana Kalganova, W. Awad

{"title":"Investigating the Value of Using Emotionally Intelligent Artificial Conversational Agents to Carry out Assessments in Higher Education: Review","authors":"S. Alaswad, Tatiana Kalganova, W. Awad","doi":"10.1109/ITIKD56332.2023.10099518","DOIUrl":"https://doi.org/10.1109/ITIKD56332.2023.10099518","url":null,"abstract":"The Viva (Oral Examination) is a crucial assessment method in higher education field to evaluate students on their work. In the typical setting of Viva, the learner and the assessor benefit from carrying out extremely adapted assessment taking opportunity to have a unique and deep insight into learner's knowledge and understanding. As the interaction with human examiners in Viva assessment can cause a considerable level of anxiety to the students, usage of conversational agents is emerging in the education domain. Hence, intelligent conversational agents will be an innovative, practical, and interactive tool which may help to reduce the level of tension caused by the traditional Viva mechanism. In this paper, we review the usage of artificial intelligent conversational agents in different businesses, looking at interaction modality, uses and recommended design rules. Additionally, we study the aspects: usability, interactivity, learnability, and reliability of the agents used in different domains to investigate the value of using them to carry out assessments in higher education. Furthermore, we compare between related frameworks in terms of utilizing web-based implementation, source code availability and use of Wizard-of-Oz techniques.","PeriodicalId":283631,"journal":{"name":"2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132016684","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 Systematic Literature Review of Blockchain for Higher Education 高等教育区块链系统文献综述

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10100049

Faton Kabashi, Halil Snopçe, Azir Aliu, A. Luma, Lamir Shkurti

引用次数: 0

Image Process Based Recommender System for Social Media Marketing 基于图像处理的社会化媒体营销推荐系统

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10100114

Lana Adel Ali Alkhatib, S. Subramanian

引用次数: 0

Accuracy and Privacy Evaluation of detected communities using Attributed-Based Label Propagation Method 基于属性的标签传播方法检测社区的准确性和隐私性评估

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10100272

Jenan Moosa, W. Awad, T. Kalganova

引用次数: 0

Evaluating Gender Bias in Pre-trained Filipino FastText Embeddings 预训练菲律宾语快速文本嵌入中的性别偏见评估

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10100022

L. C. Gamboa, Maria Regina Justina Estuar

引用次数: 2

A Knowledge Management Framework for Presales Operations in High-Technology Companies 高科技公司售前业务的知识管理框架

2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD) Pub Date : 2023-03-08 DOI: 10.1109/ITIKD56332.2023.10100035

Mohammed Abdelaziz, T. Khalil, M. Awny

{"title":"A Knowledge Management Framework for Presales Operations in High-Technology Companies","authors":"Mohammed Abdelaziz, T. Khalil, M. Awny","doi":"10.1109/ITIKD56332.2023.10100035","DOIUrl":"https://doi.org/10.1109/ITIKD56332.2023.10100035","url":null,"abstract":"High-technology companies usually hire presales teams to help customers make purchase decisions. The presales team communicates with customers and proposes solutions meeting their needs. Accordingly, the presales team needs to develop the required technology and business knowledge to conduct the presales activities successfully. Presales teams with proper knowledge management can respond efficiently to customers. This paper aims to design a Knowledge Management Framework for presales activities. To collect data, a literature review in addition to interviewing multiple presales employees was conducted by the author. The framework proposed by the author has five main components, namely the presales repository, stakeholders, knowledge management processes, technology infrastructure, and organizational support. Moreover, a road map for implementing the proposed framework is also presented. The significance of the framework has been addressed by discussing the perceived benefits versus the common challenges facing presales teams. The proposed framework and road map have been validated using expert judgment.","PeriodicalId":283631,"journal":{"name":"2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116697713","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