2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)最新文献

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Losses Calculation of Shaded-Pole Induction Motor based on Finite Element Method 基于有限元法的阴极感应电动机损耗计算
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773745
Adnan J. Kazem, A. M. Ali
{"title":"Losses Calculation of Shaded-Pole Induction Motor based on Finite Element Method","authors":"Adnan J. Kazem, A. M. Ali","doi":"10.1109/IT-ELA52201.2021.9773745","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773745","url":null,"abstract":"Shaded pole induction motor is one of the simplest and least expensive types of single-phase motors, but one of the most difficult to analyze. In this paper, adopted a two-dimensional finite element method (2DFEM) which is one of the most accurate numerical methods to analyze such motors. Ansys Maxwell2D software use with the assist of AutoCAD software in modeling and analyzing a 65W reluctance-augmented shaded pole motor. The 2DFEM results of losses and efficiency for this motor were compared with the analytical results obtained from MATLAB/Simulink software and appeared a good agreement.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590728","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 Effect of Infrared Drying on Orthosiphon Stamineus Leaves Quality 红外干燥对正虹吸雄蕊叶片品质的影响
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773447
Vaisnavi V. Palanisamy, M. Saifizi, N. Razak, K. A. Ismail, Siti Kartini Enche Ab Rahim, M. Sulong, A. Alkhayyat, W. Mustafa, Omar raad Salah
{"title":"The Effect of Infrared Drying on Orthosiphon Stamineus Leaves Quality","authors":"Vaisnavi V. Palanisamy, M. Saifizi, N. Razak, K. A. Ismail, Siti Kartini Enche Ab Rahim, M. Sulong, A. Alkhayyat, W. Mustafa, Omar raad Salah","doi":"10.1109/IT-ELA52201.2021.9773447","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773447","url":null,"abstract":"The dryer system is an important part of the drying of food and herbs, among other things. As a result, a special dryer is needed to keep the food or herbs fresh for as long as possible without killing the good nutrients. In this project, Orthosiphon stamineus herb will be used to dry using an Infrared dryer. Infrared drying involves transferring heat by radiation from a hot source to a lower-temperature substance that has to be heated or dried. The temperature of the heated element determines the peak wavelength of the radiation. The purpose of this project is to design an infrared dryer system and analyze the quality of the dried herb. The Orthosiphon Stamineus have been dried using a 200W Infrared dryer system at 60°C for 2hours. Total phenolic compounds and antioxidant capacity were determined using the Folin-Ciocalteu method and the 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity assay and evaluated using a UV/VIS Spectrophotometer, respectively. A moisture analyzer was used to look at the changes in moisture content, and a colorimeter was used to look at the colour changes. The result showed that drying O.stamineus under 60°C has significantly affected the herbal leaves quality in terms of moisture content, colour properties, Antioxidant capacity, and Total phenolic content.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124655764","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
IoT, WoT, and Blockchain Technologies IoT, WoT和区块链技术
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/it-ela52201.2021.9773440
Ali A. Abed
{"title":"IoT, WoT, and Blockchain Technologies","authors":"Ali A. Abed","doi":"10.1109/it-ela52201.2021.9773440","DOIUrl":"https://doi.org/10.1109/it-ela52201.2021.9773440","url":null,"abstract":"","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121058122","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
Clustering and Visualizing of Chest X-ray Images for Covid-19 Detection 新型冠状病毒肺炎胸部x线图像聚类与可视化研究
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773539
Ahmed Saaudi, R. Mansoor, A. Abed
{"title":"Clustering and Visualizing of Chest X-ray Images for Covid-19 Detection","authors":"Ahmed Saaudi, R. Mansoor, A. Abed","doi":"10.1109/IT-ELA52201.2021.9773539","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773539","url":null,"abstract":"Corona pandemic showed how artificial intelligence has become a part of our daily lives and is breaking into all fields at a high rate and in different ways. Relying on the conventional techniques to test patients such as RT -PCR has two major drawbacks; a long time to get results and a lack of test kits. Therefore, data mining with machine learning techniques has been suggested to investigate covid-19. In this work, chest x-ray image-based covid-19 detection approach is proposed. Three types of x-ray images Covid-19, Pneumonia, and Normal, are used in two frameworks: image visualization and image segmentation. First, the x-ray samples are visualized using histograms to analyze the pixel-value distributions. The visualization approach helps covid-19 specialists to discover the intensity level of infection by examining the corresponding histograms. Second, a segmentation approach is developed with a k-mean algorithm to provide extra image tuning for infected areas. Three different centroids are used to provide different tuning granularity levels. The suggested frameworks give a fast and reliable methodology to help physicians to decide whether there is a virus or not in the x-ray sample. This is done statistically by histograms and visually by monitoring the segmented infected areas.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114732954","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
Classifying Quality of Web Services Using Machine Learning Classification and Cross Validation Techniques 使用机器学习分类和交叉验证技术对Web服务的质量进行分类
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773416
Noor Al-Huda Hamed Olewy, A. K. Hadi
{"title":"Classifying Quality of Web Services Using Machine Learning Classification and Cross Validation Techniques","authors":"Noor Al-Huda Hamed Olewy, A. K. Hadi","doi":"10.1109/IT-ELA52201.2021.9773416","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773416","url":null,"abstract":"The growing amount of online services provided through the Internet is continually increasing. As a result, consumers are finding it more difficult to choose the proper service among a huge number of functionally comparable candidate services. It is unrealistic to inspect every web service for its quality value since it consumes a lot of resources. As a result, the subject of Web quality of service prediction has gotten a lot of attention in recent years. Using machine learning techniques, the present work suggests a model for the classification of the quality of web services by using cross validation techniques. Four algorithms of classification machine learning are applied in this work: Logistic Regression, Random Forest (DF), Support Vector Machine (SVM) and Neural Network (NN). When comparing the results, it was discovered that the Random Forest had the best accuracy. The cross validation, person correlation and normalization techniques are used in this work to compare them with the result of the algorithms. After choosing the best algorithm, a web service is created for the forecast of quality using Azure Machine Learning studio.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121712758","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
Eavesdropping Techniques Role in Information Warfare - Status, Challenges and Future trends 窃听技术在信息战中的作用——现状、挑战和未来趋势
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773702
S. Sadkhan
{"title":"Eavesdropping Techniques Role in Information Warfare - Status, Challenges and Future trends","authors":"S. Sadkhan","doi":"10.1109/IT-ELA52201.2021.9773702","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773702","url":null,"abstract":"The term “Eavesdropping” is used to refer to the interception of communication between two parties by a malicious third party. Since the beginning of the digital age, the term has also become of great importance in the world of cybersecurity. Eavesdropping on the digital network takes the form of sniffing this data from websites. Special programs are developed by hackers to search for and record bits of sensitive data communications from insecure networks. These packets of information are then analyzed using advanced encryption tools, or simply read or listen to them in the hope of accessing valuable information. It is one of the tools used in information warfare and the victims are not only computers, companies, or targeted economies, but tens of millions of people who depend. On these information systems for their survival.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127442290","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
Cover letter 求职信
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/iiceta47481.2019.9012997
I. Ghorbel
{"title":"Cover letter","authors":"I. Ghorbel","doi":"10.1109/iiceta47481.2019.9012997","DOIUrl":"https://doi.org/10.1109/iiceta47481.2019.9012997","url":null,"abstract":"","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127465434","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 Current State of Linked Data-based Recommender Systems 基于关联数据的推荐系统的现状
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773738
Ahmed M. Mahdi, A. S. Hadi
{"title":"The Current State of Linked Data-based Recommender Systems","authors":"Ahmed M. Mahdi, A. S. Hadi","doi":"10.1109/IT-ELA52201.2021.9773738","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773738","url":null,"abstract":"Linked Open Data (LOD) is a key Semantic Web technology that manages, reuses, shares, exchanges, and interoperates knowledge and information spaces from various knowledge domains. The use of LOD and its benefits in recommender systems have emerged a lot throughout the past few years. Many approaches made use of LOD to provide a recommendation to the user to help them find relevant data close to their needs out of a massive amount of data. All of them verified that using LOD enhances the recommendation task and produces an accurate recommendation. In this paper, a review is presented on the current state of LOD in the field of recommendation system, with a focus on reviewing the various recommendation techniques used, the problems facing the recommendation processes, the importance of using linked data, and the methods used in previous studies to generate a recommendation based on the Linked Open Data. Despite the recent trend to use linked data to improve recommendations, there are still many challenges, especially if more than one dataset is chosen, as heterogeneity and complexity will arise, aside from the issue of evaluating such systems and comparing them in a way that avoids bias and places each method in its proper comparative position.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115646289","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 Developed Sensing Approach in Cooperative Cognitive Radio Networks 协作认知无线电网络中一种先进的感知方法
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773579
Doaa Ayed Mohammed, S. Sadkhan
{"title":"A Developed Sensing Approach in Cooperative Cognitive Radio Networks","authors":"Doaa Ayed Mohammed, S. Sadkhan","doi":"10.1109/IT-ELA52201.2021.9773579","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773579","url":null,"abstract":"Cognitive radio is a solution to the spectral congestion problem by introducing opportunistic usage of the frequency bands that are not heavily occupied by licensed users. Spectrum sensing is important in cognitive radio to avoid collisions with licensed users and to improve the efficiency of licensed spectrum use, Primary transmitter's signal could not be detected because of the locations of devices(hidden primary user problem). It can be caused by many factors including severe multipath fading or shadowing observed by secondary users. Cooperative cognitive radio network allows different cognitive radio users(SU s) to share sensing information and increase the accuracy of primary user detection, but the complexity increased with increasing the number of CRs thus increasing number of sensing messages caused consume power, which it effected on Cognitive radio lifetime. This thesis addresses the problem of power consumption and enhance the sensing approach by using external node to do spectrum sensing process. The proposed system simulates healthcare data type of (ECG and Endoscopy) in cognitive radio network Environment. Moreover, the proposed system has been done using OMNET++ simulation tool. The proposed cooperative sensing system of Group Manager (GM) enhanced throughput as 1.066% for 6 nodes, 10.655% for 10 nodes, and 14.191 % for 20 nodes compared with the case of without GM. The power consumed decreased for better results as 66.489%., 67.923 % and 88.514%. For the case of 6 Cognitive radio nodes(CR), 10 CR, and 20 CR respectively.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115651610","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
The Role of Artificial Intelligence Applications in Developing Manufacturing System Case study on Al Waha soft drinks 人工智能应用在制造系统开发中的作用——以Al Waha软饮料为例
2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773573
Huda Hadi Hasan, A. Majeed, R. Abdulaziz
{"title":"The Role of Artificial Intelligence Applications in Developing Manufacturing System Case study on Al Waha soft drinks","authors":"Huda Hadi Hasan, A. Majeed, R. Abdulaziz","doi":"10.1109/IT-ELA52201.2021.9773573","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773573","url":null,"abstract":"In the new area of technological revolution, Artificial intelligence AI emerges to play a crucial role in business processes today. Many researchers have focused on building intelligent and efficient applications for improving the manufacturing syste. However, many have not yet adapted to use the AI in their work. This paper conducted a statistical analysis that explore the role of AI applications in the developing manufacturing system in soft drinks companies (AI Waha as case study). Moreover, a qualitative interview has been conducted base on scarce literature as well as questionnaire as a tool to measure the correlation and regression of the variables. The results show that AI applications in the design and development of a product and process to improve the manufacturing system.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122909551","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
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