2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)最新文献

Using Ontology to Enhance Decision-Making for Product Sustainability in Smart Manufacturing 基于本体的智能制造产品可持续性决策

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615289

M. Mohammed, A. Romli, R. Mohamed

引用次数: 2

Improved Energy Efficient Sleep Awake Aware Sensor Network Routing Protocol 改进的节能睡眠唤醒感知传感器网络路由协议

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615257

Liwa H. Al-Farhani

{"title":"Improved Energy Efficient Sleep Awake Aware Sensor Network Routing Protocol","authors":"Liwa H. Al-Farhani","doi":"10.1109/ITSS-IoE53029.2021.9615257","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615257","url":null,"abstract":"Typically, in the smart city concept, a wireless sensor network contains many power-constrained sensors. The sensors sensed data from the environment and transmitted them towards the base station in a cooperative way. Therefore, an efficient energy consumption strategy leads to extend the lifetime of wireless sensor networks. Furthermore, the clustering structure pattern regulates the data transmission and reduces the total consumed energy. In this paper, we propose a new routing protocol that represents an improvement on Energy Efficient Sleep Awake Aware Sensor Network Routing Protocol (EESAA) called Improved –EESAA (I-EESAA) for heterogeneous wireless sensor networks (WSNs). I-EESAA protocol consists of many algorithms for clustering, cluster head selection, grouping, sensor mode scheduling, and data transmission. The main idea of I-EESAA is the grouping concept that aims to form groups of sensors with the same application type and located in the same communication range. After groups forming, one sensor in each group will still be in active mode while the others enter sleep mode. Simulation results show that the I-EESAA protocol performs better than the DEEC, DEV-DEEC, and EESAA in network lifetime, the first node dies, cluster head selection process, and throughput. Three system models are present to test I-EESAA with different environments.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123443593","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: 2

An Algorithmic Approach to Machine Learning Techniques for Fraud detection: A Comparative Analysis 欺诈检测机器学习技术的算法方法:比较分析

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615349

D. Mitra, Shikha Gupta, Pawandeep Kaur

引用次数: 1

Optimized Ensemble Prediction Model for Breast Cancer 优化的乳腺癌集合预测模型

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615269

Jatin Aditya

{"title":"Optimized Ensemble Prediction Model for Breast Cancer","authors":"Jatin Aditya","doi":"10.1109/ITSS-IoE53029.2021.9615269","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615269","url":null,"abstract":"Breast cancer-associated to females has been reckoned as one of the most prevalent cancers. For better medical treatments premature detection of breast cancer is an essential step. This study focuses on automated breast cancer prediction using the Ensemble Machine learning paradigm. Supervised machine learning models are trained using labelled data to perceive a hypothesis that will give good predictions for a particular problem domain. Although the hypothesis space contains hypotheses that are very well-suited for a particular problem, it may be very difficult to find a good one. Ensemble learning combines multiple learnings to form a better hypothesis. The expression Ensemble is usually reserved for methods that generate predictions from various hypotheses using homogeneous or non-homogeneous base learners. Additional computation is typically required in assessing such types of ensemble models than evaluating the prediction from a single model. Unlike bagging or boosting, we are using non-homogeneous classifiers to predict whether the breast cancer is cancerous or not that is, malignant or benign using GaussianNB as meta classifier in stacking classifier of sci-kit learn in python and we are using breast cancer dataset from Wisconsin, maintained by the University of California. The recorded prediction was achieved to be 99.41% which outperforms the performance of the single algorithm.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129963968","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 Fuzzy GPSR Route Selection Based on Link Quality and Neighbor Node in VANET 基于VANET中链路质量和邻居节点的模糊GPSR路由选择

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615323

Israa A. Aljabry, G. Al-Suhail, W. Jabbar

{"title":"A Fuzzy GPSR Route Selection Based on Link Quality and Neighbor Node in VANET","authors":"Israa A. Aljabry, G. Al-Suhail, W. Jabbar","doi":"10.1109/ITSS-IoE53029.2021.9615323","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615323","url":null,"abstract":"Over recent years, a new technology named VANET (Vehicular Ad-hoc Networks) is highly recommended in smart cities and especially in Intelligent Transportation Systems (ITS). The VANET technology relies on the nodes acting like cars without the necessity for any controller or central base station by creating a wireless link among them. It enables cars to send and receive information between themselves and their environment. most VANETs utilize position-based routing protocols because they contain a GPS device. To deal with VANET problems, one solution is Geographic Perimeter Stateless Routing (GPSR) which has been broadly implemented. This paper suggests an effective intelligent fuzzy logic control system; called the FL-QN GPSR routing protocol. The proposed routing protocol incorporates two metrics link quality, and neighbor node to detect the best next-hop node for packet forwarding also updates the format of the Hello message by adding the direction field to be more suitable to our simulation. The OMNeT++ and SUMO simulation tools are both used in parallel to examine the VANET environment. The obtained results of the four simulation experiments in urban environments indicate substantial improvements in the network performance compared to the traditional GPSR and AODV concerning the QoS parameters.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115195019","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: 3

Factors Affecting Intention to Adopt Open Source ERP Systems by SMEs in Yemen 影响也门中小企业采用开源ERP系统意愿的因素

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615254

Abdullatif Ghallab, Ali Almuzaiqer, A. Al-Hashedi, A. Mohsen, K. Bechkoum, Wajdi Aljedaani

{"title":"Factors Affecting Intention to Adopt Open Source ERP Systems by SMEs in Yemen","authors":"Abdullatif Ghallab, Ali Almuzaiqer, A. Al-Hashedi, A. Mohsen, K. Bechkoum, Wajdi Aljedaani","doi":"10.1109/ITSS-IoE53029.2021.9615254","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615254","url":null,"abstract":"Small and medium-sized enterprises (SMEs) are significant contributors to countries' economic activities. SMEs need to use enterprise resource planning (ERP) systems to increase revenue and productivity. Due to the high licensing costs of these systems, open source ERP (OSERP) could be an alternative solution to this problem. This study investigates the factors affecting the intention to adopt the OSERP system by SMEs in Yemen using the Technology-Organization-Environment (TOE) Framework and The Diffusion of Innovation (DOI) Theory. Using a questionnaire, data were collected from a sample of 600 subjects. The model was validated empirically using Structural Equation Modeling (SEM). The results show that relative advantage, compatibility, trialability, observability, ICT infrastructure, IT skills, top management support, cost-saving, competitive pressure, vendor support, and regulatory support positively influence the intention to adopt OSERP. In contrast, complexity has a negative impact on the intention to adopt. However, security and organizational culture have no significant influence on SMEs' intention to adopt OSERP in Yemen.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128617093","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

Arabic Sentiment Analysis towards Feelings among Covid-19 Outbreak Using Single and Ensemble Classifiers 使用单一和集成分类器对Covid-19爆发期间的感受进行阿拉伯情绪分析

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615256

Wedad Al-Sorori, A. Mohsen, Yousefvand Ali, Naseebah Maqtary, Asma M. Altabeeb, Belal A. Al-fuhaidi, Abdullah Alhashedi, Hasan Ali Gamal Al-Kaf

{"title":"Arabic Sentiment Analysis towards Feelings among Covid-19 Outbreak Using Single and Ensemble Classifiers","authors":"Wedad Al-Sorori, A. Mohsen, Yousefvand Ali, Naseebah Maqtary, Asma M. Altabeeb, Belal A. Al-fuhaidi, Abdullah Alhashedi, Hasan Ali Gamal Al-Kaf","doi":"10.1109/ITSS-IoE53029.2021.9615256","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615256","url":null,"abstract":"The need to study and analyze public opinions about the Corona virus (COVID-19) pandemic or about those preventive measures that are imposed, led to the emergence of many studies. These conducted studies have concerned the analysis of public feelings and opinions, known as sentiment analysis (SA). Taking a benefit of social media platforms such as Twitter a dataset of Arab people feelings, especially fear and anxiety, towards Covid-19 was built through surveying the Arabic content in this platform. A machine learning (ML) model was applied to analyze and categorize the tweets related to fear and anxiety regarding Covid-19 outbreak. In this model, the word2vec was employed for word embedding to form the vector of features with two CBOW pre-trained models CC.AR.300 and Arabic.news. Moreover, the effect of the sampling technique that is called Synthetic Minority Over-sampling Technique and Edited Nearest Neighbors (SMOTENN) was investigated in this study. In addition, the performance of several single-based and ensemble classifiers were evaluated and discussed. The experimental results show that applying word embedding and SMOTENN with both single and ensemble classifiers achieve a good improvement in terms of F1 average score compared to the baseline, single and ensemble classifiers without SMOTENN.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127084685","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

Conceptualizing a Model for Using Social Media as a Learning Tool and Its Effect on Academic Performance: The Moderating Effect of Self-Regulation 社交媒体学习工具模型的概念化及其对学业成绩的影响:自我调节的调节作用

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615292

Maged Rfeqallah, R. Kasim, Mohammed A. Al-Sharafi

{"title":"Conceptualizing a Model for Using Social Media as a Learning Tool and Its Effect on Academic Performance: The Moderating Effect of Self-Regulation","authors":"Maged Rfeqallah, R. Kasim, Mohammed A. Al-Sharafi","doi":"10.1109/ITSS-IoE53029.2021.9615292","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615292","url":null,"abstract":"Social media has attracted considerable attention from students at higher level of educational pursuit and has become an important communication tool that enables rapid information exchange, connects with friends, and instructs and influences their academic performance. Students are prone to the effect of social media as they usually spend more time using social sites without proper monitoring from their parents, which affects their academic endeavors. This goal of this study is to propose a theoretical model for investigating the impact of social media usage on students’ academic performance. The proposed model has been developed by extending the Technology Acceptance Model theory with communication theory factors (motivation and perceived ease of communication) that consider the real motivation factors to accept and use new technologies. In addition, this study explores the effect of self-regulation as the moderating variable in the relationship between social media use and academic performance. This study provides comprehensive findings and insights of social media use among universities, researchers, and students and the extent to which academic performance is influenced by the use of social media. Furthermore, the proposed model must be tested in future studies.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131004148","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

Face recognition based on sparse coding using support vector machine classifier 基于稀疏编码的支持向量机分类器人脸识别

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615322

Arian Yousefiankalareh, Taraneh Kamyab, Farzad Shahabi, Ehsan Salajegheh, Hossein Mirzanejad, Mahsa Madadi Masouleh

引用次数: 3

Program Abstract Book 程序摘要

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/itss-ioe53029.2021.9615279

引用次数: 0