2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)最新文献_第3页

Analyzing and Predicting the Deaths and Cases of Covid-19 in Different Countries Using Fuzzy K Means Algorithm and Exponential Method 基于模糊K均值算法和指数法的各国新冠肺炎死亡病例分析与预测

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773676

H. F. Kadom, R. M. Azeez

引用次数: 0

The Importance of E-learning During the Corona Pandemic 冠状病毒大流行期间电子学习的重要性

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773461

S. Al-Taai

引用次数: 0

Keynote Speech Title: Intelligent Agent with Reasoning under Uncertainty 主题演讲题目:具有不确定性推理的智能体

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/it-ela52201.2021.9773569

A. Obied

引用次数: 0

An Adaptive Quasi-Newton Equation for Unconstrained Optimization 无约束优化的自适应拟牛顿方程

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773580

Basim A. Hassan, Abdulrahman R. Ayoob

引用次数: 9

A Topic Modeling for Clustering Arabic Documents 面向阿拉伯语文档聚类的主题建模

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773538

Doaa Wahhab Alkhafaji, Sura Z. Al-Rashid

引用次数: 1

Web Server Load Balancing Based on Number of Client Connections on Docker Swarm 基于Docker Swarm客户端连接数的Web服务器负载均衡

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773748

Karar Haider Anun, Mahdi S. Almhanna

引用次数: 3

Virtualization in Mobile Cloud Computing for Augmented Reality Challenges 面向增强现实挑战的移动云计算虚拟化

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773680

Ban Jawad Khadhim, Qusay Kanaan Kadhim, Wijdan Mahmood Khudhair, Marwa Hameed Ghaidan

引用次数: 1

Robot's velocity optimization for planned path by hybrid adaptive dimensionality with GSO algorithm 基于混合自适应维数和GSO算法的机器人规划路径速度优化

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773393

Qasim Radam Mahmood, Ali Hadi Hasan

{"title":"Robot's velocity optimization for planned path by hybrid adaptive dimensionality with GSO algorithm","authors":"Qasim Radam Mahmood, Ali Hadi Hasan","doi":"10.1109/IT-ELA52201.2021.9773393","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773393","url":null,"abstract":"The robot velocity is one of the important factors to identify a mobile robot efficiency. This paper will present simple but efficient approach for controlling the robot's velocity in order to stabilize its movement when cornering and/or avoiding obstacles crush with suitable fast and safe navigation speed. In our previous work, we introduce a hybrid adaptive dimensionality with the Glowworm Swarm Optimization (GSO) algorithm approach to find an optimal path from initial point to the goal point. This will be extended in the current paper by using the path that was obtained by this approach to decide if the robot should change its velocity to avoid collision. Robot velocity controlling is an important in the following states. (1) When the robot navigates in the tight free area. (2) When the robot cornering around the angles of its path heading to its goal. This paper proposes an effective approach to robot velocity control that the robot selects the possible fastest velocity. To adopt this approach, two important factors must be taken into account to control the speed of robot in the above two cases, angle's value at each path's node as well as the number of obstacles that are surrounding this node which are located in the nearest two levels of this node toward the robot motion. The proposed approach successfully made the robot move around in its environments with adaptively controlling the velocity.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"116 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":"121997077","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

Design Three Phase Inverter for Compressor Drive using Single-Phase AC Source 用单相交流电源设计压缩机驱动三相逆变器

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773625

Mohamad Faudzi, M. Saifizi, Z. Mohd, Azri A. Aziz, M. I. Fahmi, W. Mustafa, A. Alkhayyat, A. Abdulsattar

{"title":"Design Three Phase Inverter for Compressor Drive using Single-Phase AC Source","authors":"Mohamad Faudzi, M. Saifizi, Z. Mohd, Azri A. Aziz, M. I. Fahmi, W. Mustafa, A. Alkhayyat, A. Abdulsattar","doi":"10.1109/IT-ELA52201.2021.9773625","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773625","url":null,"abstract":"Inverters are commonly used in high power applications for induction motors, air conditioners, and ventilation fans. The use of an inverter can save electricity consumption and maximize consumption on the compressor. The compressor runs slowly at night, when there is little or no activity with the refrigerator. It uses just the correct amount of energy to keep the refrigerator at the right temperature. This is where the energy efficiency comes into play, and it may save you anywhere from 20% to 30% on your electric bill. The purpose of this project is to design a three-phase inverter for use on refrigerator compressors. The focus of this project is to generate and analyze the performance of a three-phase AC voltage that will be connected to the refrigerator compressor to produce a maximum voltage of 220 V that gets the current supply from the socket. In this project, a three-phase inverter is simulated using MATLAB/SIMULINK software. At the end of the project, a three-phase inverter successfully produced three-phase voltage and run for load.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"7 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":"128068928","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

Enhancement and Lightweight Fusion U-Net for Segmentation of Cardiac Structures in MRI 增强和轻量化融合U-Net在MRI心脏结构分割中的应用

2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA) Pub Date : 2021-12-28 DOI: 10.1109/IT-ELA52201.2021.9773601

U. Salim, Shefa A. Dawwd, F. Ali

{"title":"Enhancement and Lightweight Fusion U-Net for Segmentation of Cardiac Structures in MRI","authors":"U. Salim, Shefa A. Dawwd, F. Ali","doi":"10.1109/IT-ELA52201.2021.9773601","DOIUrl":"https://doi.org/10.1109/IT-ELA52201.2021.9773601","url":null,"abstract":"Magnetic resonance imaging technology and the segmentation process are essential parts in obtaining accurate diagnosis of cardiac diseases. Recently, deep learning networks have shown progress in achieving good accuracy. However, the 2D network may not produce the required accuracy, and the use of 3D networks is restricted because of the computation and storage complexities. In this paper, a lightweight fusion U-Net (LWFU-Net) is proposed to achieve the trade-off between segmentation accuracy and complexities. LWFU-Net is a new variant of U-Net and LVRV-Net. It enhances 2D information by using a propagation flow approach with multipath and multilevel fusion. LWFU-Net operates via three stages. First, the adjacent slices of target slice are fused by using traditional average method, generating context information. Subsequently, the target slice is segmented similar to U-Net network, where the context information is fused with the target slice and the decoding results via concatenation operator and then processes information by using convolutional layers. Finally, the deep supervision generates the final outcome. The proposed networks are evaluated on the public Automated Cardiac Diagnosis Challenge dataset by using fivefold cross validation. LWFU-Net outperforms single-path LWU-Net and agrees with the LVRV-Net. The best performance of LWFU-Net exhibits mean dice similarity scores of 0.939 left ventricular cavity, 0.861 right ventricular cavity, and 0.885 left ventricular myocardium over the subtest of 10% of training set. Results demonstrate that LWFU-Net has an acceptable usage of 51 MB (weight memory), 13,274,252 (trainable parameters), and 20 G flop. It achieves a speedup of 6 for the training and approximately 2 for the testing.","PeriodicalId":330552,"journal":{"name":"2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)","volume":"38 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":"116830480","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