2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)最新文献_第4页

Multisource Indoor Positioning System Based on Edge Computing 基于边缘计算的多源室内定位系统

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185844

Umba Ilunga Jeannick, Haibo Wang, M. Ma

引用次数: 0

A Case Study of IoT-Based Water-Energy Nexus Monitoring Platform for Household Applications in Smart Cities 基于物联网的水-能源Nexus监测平台在智慧城市家庭应用的案例研究

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185836

A.Sheik Ali, M. Salah

{"title":"A Case Study of IoT-Based Water-Energy Nexus Monitoring Platform for Household Applications in Smart Cities","authors":"A.Sheik Ali, M. Salah","doi":"10.1109/JEEIT58638.2023.10185836","DOIUrl":"https://doi.org/10.1109/JEEIT58638.2023.10185836","url":null,"abstract":"With the lack of water and the increasing cost of imported fossil fuel in Jordan, the need for more efficient utilization of energy usage for pumping water in household applications is of top priority. Sudden power demands affect the stability of the entire power grid. There should be a balance between power generation and load consumption sides. IoT infrastructure helps in maintaining this balance via having a closed-loop control mechanism. This paper introduces a platform that can be implemented as part of a cloud solution that aggregates sensory data of water tank levels and displays real-time data for both energy and water consumption. The collected data is then analyzed to show the correlation and to give an indication of user water and energy consumption in household applications in smart cities. The correlation is minimized via adaptive and customized thresholds for each user according to the consumption pattern. Results show that there is a significant improvement in the water supply system by having less correlated user power demand in a certain time instant.","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128260773","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

Deepfake Image Generation for Improved Brain Tumor Segmentation 用于改进脑肿瘤分割的深度假图像生成

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185710

Roa'a Al-Emaryeen, Sara Al-Nahhas, Fatima Himour, W. Mahafza, O. Al-Kadi

{"title":"Deepfake Image Generation for Improved Brain Tumor Segmentation","authors":"Roa'a Al-Emaryeen, Sara Al-Nahhas, Fatima Himour, W. Mahafza, O. Al-Kadi","doi":"10.1109/JEEIT58638.2023.10185710","DOIUrl":"https://doi.org/10.1109/JEEIT58638.2023.10185710","url":null,"abstract":"As the world progresses in technology and health, awareness of disease by revealing asymptomatic signs improves. It is important to detect and treat tumors in early stage as it can be life-threatening. Computer-aided technologies are used to overcome lingering limitations facing disease diagnosis, while brain tumor segmentation remains a difficult process, especially when multi-modality data is involved. This is mainly attributed to ineffective training due to lack of data and corresponding labelling. This work investigates the feasibility of employing deep-fake image generation for effective brain tumor segmentation. To this end, a Generative Adversarial Network was used for image-to-image translation for increasing dataset size, followed by image segmentation using a U-Net-based convolutional neural network trained with deepfake images. Performance of the proposed approach is compared with ground truth of four publicly available datasets. Results show improved performance in terms of image segmentation quality metrics, and could potentially assist when training with limited data.","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124515228","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

Management Framework for Energy Crisis & Shaping Future Energy Outlook in Pakistan 巴基斯坦能源危机管理框架与塑造未来能源前景

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185730

J. Janjua, Osman Anwer, Atique Saber

引用次数: 0

Diagnosis of Polycystic Ovary Syndrome Using Random Forest with Bagging Technique 随机森林与Bagging技术诊断多囊卵巢综合征

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185873

Amjed Al-mousa, Badr Mansour, Hamsa Al-Dabbagh, Mohammad Radi

引用次数: 0

Power Load Estimation in Smart Grids via k-Means Clustering using Sensor Networks 基于k-均值聚类的传感器网络智能电网负荷估计

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185690

S. Aldalahmeh, A. Hayajneh, Mahmoud Zeidan, Ashraf Al-Shawabkeh, Feras Alasali

引用次数: 0

Optimal Location of PMUs to Enhance State Estimation of Power Systems 优化pmu位置以增强电力系统状态估计

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185724

Atallah Ahmad Al Qaralleh, K. Alawasa, A. Al-Odienat

引用次数: 0

Vulnerability Exploitation Using Reinforcement Learning 使用强化学习的漏洞利用

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185700

Anas AlMajali, Loiy Al-Abed, Ruba Mutleq, Zaid Samamah, Anas Abu Shhadeh, B. Mohd, Khalil M. Ahmad Yousef

{"title":"Vulnerability Exploitation Using Reinforcement Learning","authors":"Anas AlMajali, Loiy Al-Abed, Ruba Mutleq, Zaid Samamah, Anas Abu Shhadeh, B. Mohd, Khalil M. Ahmad Yousef","doi":"10.1109/JEEIT58638.2023.10185700","DOIUrl":"https://doi.org/10.1109/JEEIT58638.2023.10185700","url":null,"abstract":"Our main goal is to create a reinforcement agent that is capable of exploiting a particular vulnerability. Hiring a penetration tester or doing manual exploitation can be expensive and time-consuming, thus such a process needs to be intelligent and automated. There are many tools out there that perform auto-exploitation, like Metasploit Pro. But the problem with such tools is that they require significant execution time and resources because they are based on trying every possible payload and checking if it works or not. In this work, we created a reinforcement agent and configured it to exploit a certain vulnerability. After the agent completes the training phase, it stores payloads with their corresponding reward values in a Q-Table. When the agent faces a state that is a combination of a target operating system and a certain vulnerability, it knows what options to set to perform exploitation by looking at its Q- Table. The proposed methodology was tested on remote code execution vulnerability in CouchDB version 3.1.0. After the training phase was completed, deployment was tested on three different systems in which the main goal of the attacker (establishing a reverse shell) was achieved using the payloads with the highest rank in the Q- Table in 8.26 seconds (average).","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124857115","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

Using Context Specific Generative Adversarial Networks for Audio Data Completion 使用上下文特定的生成对抗网络音频数据完成

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185733

Marina Maayah, Abdulaziz Al-Ali, Abdelhak Belhi

{"title":"Using Context Specific Generative Adversarial Networks for Audio Data Completion","authors":"Marina Maayah, Abdulaziz Al-Ali, Abdelhak Belhi","doi":"10.1109/JEEIT58638.2023.10185733","DOIUrl":"https://doi.org/10.1109/JEEIT58638.2023.10185733","url":null,"abstract":"Audio quality plays an essential role in several applications ranging from music to voice conversations. Sound information is subject to quality loss caused by reasons such as intermittent network connections, or storage corruption. Recent approaches resorted to using GANs for audio reconstruction due to their successful deployment in visual applications. However, audio datasets often include sounds from different contexts which increase the complexity of the patterns to be learned, leading to sub-optimal quality reconstruction. We propose a novel audio completion pipeline that clusters audio based on similarity of features extracted by a pre-trained CNN model and then trains a dedicated specialized GAN for each context separately. The proposed technique is compared with the traditional method of training one general GAN in completing 200ms missing segments of 1-second audio samples. Experimental results on a public benchmark dataset show that using specialized GANs led to a clear improvement in the completion quality as measured by a higher PSNR and a lower MSE. Qualitative evaluation also supported these results.","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116844286","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

Community Energy Storage System for Cost Benefits 社区储能系统的成本效益

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185742

Augustine Ikpehai, Olajide Sunkanmi, K. Anoh

引用次数: 1