2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)最新文献_第8页

Design and Analysis of a Linear Controller for Parrot AR Drone 2.0 Parrot AR无人机2.0线性控制器的设计与分析

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990127

Ahmad Abughali, Obadah Habash, Ahmed M. Elshamy, M. Alansari, K. Alhammadi

引用次数: 0

On Hybrid Health Monitoring of Photovoltaics 光伏系统混合健康监测研究

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990221

Amir Baniamerian, A. Bostani, Ashraf A. Zaher

{"title":"On Hybrid Health Monitoring of Photovoltaics","authors":"Amir Baniamerian, A. Bostani, Ashraf A. Zaher","doi":"10.1109/ICECTA57148.2022.9990221","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990221","url":null,"abstract":"During the past few years, adaptation to renewable energy and utilizing solar power have attracted an exponentially increasing interest in interdisciplinary research domains as well as large-scale economies. However and due to many environmental factors, providing a reliable and fault tolerant control solution that can accomplish the main objectives of the power generation, even in the presence of faults, is an inevitable requirement. The main objective of this paper is to review the challenges of fault diagnosis of solar power systems and to present a hybrid and cloud-enabled architecture for a health monitoring system for photovoltaic (PV) farms, where both model-based and data-driven methods are utilized in a unified framework. The main focus of our proposed architecture is to explain the main components of a practical solution such that it can be easily integrated into currently available cloud technologies. This solution can significantly improve reliability of the new generations of power supply networks. The key enabler of our proposed solution is its modular structure; particularly, it can be augmented with any available or future control systems such as automated PV cleaning systems in order to provide a fully autonomous fault tolerant control solution that can (i) detect, (ii) localize, and (iii) rectify various types of faults in PV systems (such as shade faults). Furthermore, we discuss data privacy concerns and how our architecture addresses this issue.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126787559","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

Remote Farming: Monitoring Hydroponic Environments using IoTs 远程农业:利用物联网监测水培环境

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990306

S. Elnaffar, Ahmad Amin, G. B. Satrya, Mohammad Andiez Satria Permana

{"title":"Remote Farming: Monitoring Hydroponic Environments using IoTs","authors":"S. Elnaffar, Ahmad Amin, G. B. Satrya, Mohammad Andiez Satria Permana","doi":"10.1109/ICECTA57148.2022.9990306","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990306","url":null,"abstract":"Hydroponics is an agricultural method to grow plants without soil. Instead, farmers use water to supply plants with the needed dissolved nutrition and minerals. This approach is hailed by society because it solves the problem of fertile land scarcity. In this work, we build a prototype, called Hystorms, which uses Internet of Things (IoTs) and a smartphone app to monitor hydroponic environments and alert farmers to abnormal conditions that need attention or adjustment. The IoT sensors transmit environmental data across the network to the farmer’s smartphone app via the Cloud. The Hystorms app delivers to farmers lots of information related to their hydroponics such as the GPS location of the current position of the farmer and a comprehensive profile about each hydroponic, such as its nutrition needs, schedule of fertilization, ambiance conditions (e.g., temperature, humidity, etc.), history of previously collected data, and notifications of unusual readings. Preliminary evaluation results for this prototype show a high acceptance level (80.5%) by farmers that can encourage more of them to adopt this new technology in agriculture.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129227530","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 Graphical Speech Analysis Teaching Tool 图形化语音分析教学工具

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990239

S. Ozaydin

{"title":"A Graphical Speech Analysis Teaching Tool","authors":"S. Ozaydin","doi":"10.1109/ICECTA57148.2022.9990239","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990239","url":null,"abstract":"The widespread use of digital speech processing in today's technologies causes many electronics and computer engineering students to need a basic background in these subjects. The paper describes a toolbox designed to support undergraduate or graduate level courses on speech processing. The proposed educational toolbox is designed as a virtual lab for basic operations in digital speech processing-based courses. This graphical user interface (GUI) based speech analysis algorithm is built with six main function modules, which are signal input, noise addition, up-sampling/down-sampling, time domain feature analysis, pitch detection and frequency domain analysis. The toolbox involves different operations for measuring important speech feature parameters such as pitch, energy, zero-crossing ratio, FFT and power spectrum of an input speech signal. The toolbox has also been developed to easily manipulate and add some other possible speech processing methods. It is thought that the tool will make it easier for students to understand the methods that form the basis of digital speech processing, increase the interest in the lesson with its visual outputs, and allow new methods to be added easily when desired thanks to its simple and modular structure. The main aim of this paper to show how such a tool facilitates students understanding of technical concepts introduced in speech courses.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123102220","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

Studying the Effect of Face Masks in Identifying Speakers using LSTM 基于LSTM的面具识别说话人效果研究

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990479

Mohamed Bader, I. Shahin, A. Ahmed, N. Werghi

{"title":"Studying the Effect of Face Masks in Identifying Speakers using LSTM","authors":"Mohamed Bader, I. Shahin, A. Ahmed, N. Werghi","doi":"10.1109/ICECTA57148.2022.9990479","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990479","url":null,"abstract":"During the COVID-19 pandemic, it has been a standard procedure for people all around the world to use Respiratory Protection Masks (RPM) that cover both the nose and the mouth. The Consequences of wearing RPMs, those pertaining to the perception and production of spoken communication, are rapidly becoming more prominent. Nevertheless, the utilization of face masks also causes attenuation in voice signals, and this alteration affects speech-processing technologies such as Automatic Speaker Verification (ASV) and speech-to-text conversion. An intervention by a deep learning-based algorithm is considered vital to remedy the issue of inappropriate exploitation of speaker-based technology. Therefore, in the proposed framework, a speaker identification system has been implemented to examine the effect of masks. First, the speech signals have been captured, pre-processed, and augmented by a variety of data augmentation techniques. Afterward, different “Mel-Frequency Cepstral Coefficients” (MFCC) features have been extracted to be fed into a “Long Short-Term Memory” (LSTM) for identifying speakers. The system’s overall performance has been assessed using accuracy, precision, recall, and Fl-score, which yields 93%, 93.3%, 92.2%, and 92.8%, respectively. The obtained results are still in a rudimentary phase, and they are subjected to further enhancements in the future by data expansion and exploitation of multiple optimization techniques.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114256648","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

Predicting Market Behavior with Artificial Neural Networks: Gold Price as an Example 用人工神经网络预测市场行为:以黄金价格为例

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990343

Mohamad Kharseh, Basem Yousef, K. A. Amara, A. Sakhrieh

引用次数: 0

Assessment of a Hybrid Renewable Energy System: The Case of Kuwait 混合可再生能源系统的评估:科威特的案例

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990329

Michael Nahas, Mohamad Farhat, S. Asaad, M. Mannah

引用次数: 0

Development of an All-In-One Smart Home and Irrigation System Prototype 一体化智能家居及灌溉系统原型的研制

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990139

H. Hasan, Mervat A. Madi, Mahmood Sawadi Rahi

{"title":"Development of an All-In-One Smart Home and Irrigation System Prototype","authors":"H. Hasan, Mervat A. Madi, Mahmood Sawadi Rahi","doi":"10.1109/ICECTA57148.2022.9990139","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990139","url":null,"abstract":"The advancement of automation technologies made lives simpler and easier in all aspects. In today’s world, automated systems [1] are replacing manual systems progressively. In this paper, an overview of current and emerging home automation systems is discussed. Then, the developed system is presented that is a one-stop-shop for all the use cases with the novelty of transforming traditional homes into smart homes through merging Artificial Intelligence (AI) [2] and Internet of Things (IoT) [3] thus providing the freedom to connect, integrate, monitor, and control houses remotely, securely, and at a cheaper cost. The use of AI allows monitoring and analyzing data through dashboards. Hence, sending realtime notifications to the user to ensure home management and security remotely. Also, the novelty in introducing IoT in this system is through incorporating different modalities and functions in one system controlled remotely for example the automation and monitoring system [4], the wireless [5] irrigation system, and the security system. All the components are controlled and monitored using a central web and mobile application. On the hardware components side, the system consists of the Raspberry Pi, the RFID Card Reader, the 8-channel relay module, and some sensors. Hence, the presented system is wholesome and scalable, so the user can start small and grow on demand, as this solution is loosely coupled, and tightly integrated. In brief, the solution is a secure, reliable, cheap, and all-inclusive smart home automated system.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134181639","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

Precision Agriculture for Medicinal Plants: A Conjunction of Technologies 药用植物精准农业:技术的结合

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990401

Abhirup Khanna, Sapna Jain, P. Maheshwari

{"title":"Precision Agriculture for Medicinal Plants: A Conjunction of Technologies","authors":"Abhirup Khanna, Sapna Jain, P. Maheshwari","doi":"10.1109/ICECTA57148.2022.9990401","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990401","url":null,"abstract":"Recent advancements in the fields of artificial intelligence (AI) and blockchain technology have paved the emergence of new-age agricultural practices. Deep learning, one of the subsets of AI has shown remarkable results in cases of crop classification, disease detection and pest identifications whereas blockchain technology has enabled the creation of trusted supply chains and maintains a balance between the demand and supply of agricultural products. The two new age technologies when combined with the existing infrastructure of IoT and Cloud computing create a formidable alliance for precision agriculture. In this work of ours, we propose a conjunction of all four technologies as one single solution for the cultivation of medicinal plants. The industry for medicinal plants still hasn’t seen the impact of Agriculture 4.0 and is most dependent on traditional practices. Bringing along the practices of precision agriculture supported by ICT technologies has the potential to solve problems pertaining to environmental conditions, accessibility to the global markets, plant growth monitoring, non-uniformity of ingredients, and pre and post-harvest data processing.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132317401","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

AN LSTM model-based Prediction of Chaotic System: Analyzing the Impact of Training Dataset Precision on the Performance 基于LSTM模型的混沌系统预测:训练数据集精度对性能的影响分析

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990128

W. A. Nassan, T. Bonny, K. Obaideen, A. Hammal

{"title":"AN LSTM model-based Prediction of Chaotic System: Analyzing the Impact of Training Dataset Precision on the Performance","authors":"W. A. Nassan, T. Bonny, K. Obaideen, A. Hammal","doi":"10.1109/ICECTA57148.2022.9990128","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990128","url":null,"abstract":"The chaotic systems are crucial due to their spread applications in different fields. The modeling and prediction of chaotic time series improved significantly with the recent advances in artificial intelligence algorithms, especially deep learning models. In this research, we use a deep learning-based long short-term memory (LSTM) model for the prediction of chaotic time series of the Lorenz attractor. This paper uses three datasets of (25k) samples with three precisions (the step size$triangle$ t=0.01, 0.005, and 0.001) for training the LSTM model. The mean square error MSE and root mean square error RMSE metrics are used to measure the training performance. The best performance was obtained by increasing the precisions of the training data, where the values of metrics were 5. 3033e - 5 and 0.0073 for MSE and RMSE respectively. It is found that the training performance can be improved by increasing the precision of the training data i.e., reducing the step size. This provides useful knowledge towards reducing the number of data samples and corresponding acquisition time for a prediction.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094005","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: 6