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15th International engineering and Computing Research Conference, EURECA 2021

作者： Khujaev, Abumuslim Vaithilingam, Chockalingam Aravind Alsakati, Ahmad Adel Alnasseir, Jamal School of Computer Science and Engineering Faculty of Innovation and Technology Taylor's University Malaysia Electric Power Engineering Department Faculty of Mechanical and Electrical Engineering Damascus University Syria

Stability of power system is an ability of an electric power system that reaches its stable condition after fault happens in its network. The system is unstable when one generator loses its stable synchronism performance. This paper investigates the transient stability of an IEEE 9-bus system during faults that happen in different bus locations. Additionally, the analysis contributes to the integration of the exciter IEEE type-1 for synchronous generator and integration of power system stabilizer (PSS) to improve the power angle stability in the power system. The fault at bus 4 has the highest amplitude in which it increases to 77.58 degrees for the power angle of Synchronous Generators (SGs). The absence of PSS showed that the existing system oscillated and it is unstable. However, the integration of PSS enables the system to damp the oscillations of power angle and reduce the settling time to 5.69 seconds during the fault at bus 4. Moreover, the PSS is connected to SGs through the excitation system to improve the stability of the system in relative power angle of SGs, speed deviation, and electrical power of SGs. Hence, the integration of PSS and excitation system enhances the transient stability of the power system. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Synchronous generators

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The application of fuzzy logic for the identification and assessment of a driver’s driving style

The application of fuzzy logic for the identification and as...

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Progress in Applied electrical engineering (PAEE)

作者： Monika Piróg Tomasz Piróg Jacek Bartman Konrad Łukiewicz Przemysław Hawro Faculty of Technical Engineering State University of Applied Sciences in Jaroslaw Jaroslaw Poland Institute of Computer Science University of Rzeszow Rzeszow Poland Department of Electrical and Computer Engineering Fundamentals Rzeszow University of Technology Rzeszow Poland

ISBN: (数字)9798331527563

ISBN: (纸本)9798331527570

In today’s world, there is practically no industry in the economic sector that does not utilize IT solutions. Modern companies in the TSL (Transport - Forwarding - Logistics) industry use advanced IT solutions at every stage of business management. This article proposes a concept for applying fuzzy logic to identify and evaluate drivers’ driving styles. It discusses the issues and significance of analyzing driving styles in the context of fleet management. The current solutions, existing methods, and technologies used by companies to monitor and evaluate driving styles are presented, along with their limitations. The analysis is based on solutions from several leading companies in the sector. Subsequently, a solution based on the use of fuzzy logic is proposed for a more effective and accurate analysis of driving styles, allowing for better fleet management strategies, cost reduction, and reduced risk on the road. The article concludes with a summary highlighting the benefits of the proposed solution and suggesting directions for further research in this area.

关键词： Fuzzy logic Industries electrical engineering Costs Accuracy Roads Companies Monitoring Logistics Business

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Cervical Cancer Classification Using Combined Machine Learning and Deep Learning Approach

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computers, Materials & Continua 2022年第9期72卷 5117-5134页

作者： Hiam Alquran Wan Azani Mustafa Isam Abu Qasmieh Yasmeen Mohd Yacob Mohammed Alsalatie Yazan Al-Issa Ali Mohammad Alqudah Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid22110Jordan Department of Biomedical Systems and Informatics Engineering Yarmouk University 556Irbid21163Jordan Faculty of Electrical Engineering Technology Campus Pauh PutraUniversiti Malaysia Perlis02000ArauPerlisMalaysia Advanced Computing Centre of Excellence(CoE)Universiti Malaysia Perlis(UniMAP)02000ArauPerlisMalaysia The Institute of Biomedical Technology King Hussein Medical CenterRoyal Jordanian Medical ServiceAmman11855Jordan Department of Computer Engineering Yarmouk UniversityIrbid21163Jordan

Cervical cancer is screened by pap smear methodology for detection and classification *** smear images of the cervical region are employed to detect and classify the abnormality of cervical *** this paper,we proposed the first system that it ables to classify the pap smear images into a seven classes *** smear images are exploited to design a computer-aided diagnoses system to classify the abnormality in cervical images *** features that have been extracted using ResNet101 are employed to discriminate seven classes of images in Support Vector Machine(SVM)*** success of this proposed system in distinguishing between the levels of normal cases with 100%accuracy and 100%*** top of that,it can distinguish between normal and abnormal cases with an accuracy of 100%.The high level of abnormality is then studied and classified with a high *** the other hand,the low level of abnormality is studied separately and classified into two classes,mild and moderate dysplasia,with∼92%*** proposed system is a built-in cascading manner with five models of polynomial(SVM)*** overall accuracy in training for all cases is 100%,while the overall test for all seven classes is around 92%in the test phase and overall accuracy reaches 97.3%.The proposed system facilitates the process of detection and classification of cervical cells in pap smear images and leads to early diagnosis of cervical cancer,which may lead to an increase in the survival rate in women.

关键词： Classification deep learning machine learning pap smear images resnet101 support vector machines

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Ranking Based Routing Protocol for Residual Energy Estimation in Wireless Sensor Network Based IoT Network 5

Ranking Based Routing Protocol for Residual Energy Estimatio...

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5th International Conference on engineering Technology and its Applications, IICETA 2022

作者： Rashid, Sami Abduljabbar Ahmed, Ahmed Jamal Hassan, Mustafa Hamid Abbas, Ali Hashim Habelalmateen, Mohammed I. Jubair, Mohammed Ahmed Audah, L. Al-Azzawi, Waleed Al-Maarif University College Department of Computer Engineering Techniques Al-Anbar Iraq Imam ja'Afar Al-Sadiq University Department of Computer Technical Engineering College of Information Technology Al-Muthanna 66002 Iraq Islamic University Department of Computer Technical Engineering College of Technical Engineering Najaf54001 Iraq Faculty of Electrical and Electronic Engineering Batu Pahat Malaysia Al-Farahidi University Medical Technical College Baghdad Iraq

ISBN: (纸本)9781665472159

Internet of Things (IoT) is widely involved in environmental monitoring. IoT network has a limited energy supply which impacts the network's lifetime. At present, limited energy is a challenging factor due to limited energy availability. IoT performance is improved with the RPL routing protocol for effective route establishment. With an effective energy harvesting scheme IoT network, residual energy can be improved. Typically, energy harvesting with conventional RPL routing protocol is ineffective. To withstand the limitation associated with energy harvesting in IoT networks with the incorporation of RPL routing is essential. To achieve this, this paper presented an Energy Harvesting Ranked Whale optimization (EHRWO) is developed. Initially, the proposed model utilizes the optimal route establishment with EHRWO with improved security. The operation of EHRWO is performed for static and dynamic operation of the network. The developed work estimates the node energy, harvest energy, routing performance, and distance. Based on the optimization of the whale optimal path is estimated for the transmission of data. With a ranking based approach optimal path for data transmission will be computed. The simulation results expressed the proposed work performance of the parameters such as energy consumption and packet delivery ratio. © 2022 IEEE.

关键词： Energy harvesting

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Smart Design and Implementation of Self Adjusting Robot using Arduino

Smart Design and Implementation of Self Adjusting Robot usin...

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2022 International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022

作者： Vidhya, R.G. Singh, Kamlesh Paul, P John Sai Srinivas, T. Aditya Prasad Patra, Jyoti Sagar, K.V.Daya HKBK College of Engineering Department of Electronics and Communication Engineering Bangalore India Graphic EraHill University Department of Computer Science Engineering Dehradun Campus Dehradun India Ellenki College of Engineering and Technology Department of Computer Science and Engineering Hyderabad India G Pulla Reddy College of Engineering Department of Computer Science and Engineering Andhra Pradesh Kurnool India Odisha University of Technology and Research Faculty of Electrical OUTR Mahalaxmi ViharGhatikia Techno campus Odisha Bhubaneswar India Koneru Lakshmaiah Education Foundation Department of ECE Guntur Andhrapradesh Vaddeswaram India

ISBN: (纸本)9781665489621

Self-adjusting robots are an excellent approach for keeping up with breakthroughs and developments in advanced mechanics. This idea is based on the basic pendulum theory. A framework goes through a cycle of self-adjustment to reinforce itself from inside. This study intends to overcome the difficulties of stabilizing an unstable structure by supplying the robot with the essential components for self-adjustment and balance. Data from the accelerometer and gyrator are used to compute the robot's accurate three-dimensional location, which is then relayed to a controller. The regulator then uses its own code to legally direct the wheel rotation of the drive module, boosting the robot's stability. This robot has an advantage over others with four wheels since it can spin faster and around obstacles more readily. As a result, it is a necessary tool in many current scenarios. © 2022 IEEE.

关键词： Accelerometers

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EmoSyn: Adaptive Emotion Framework for Sentiment Analysis and Internet of Medical Things

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IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页

作者： Awan, Kamran Ahmad Alqahtani, Abdullah M. Cengiz, Korhan Alshammari, Alya Alrashdi, Ibrahim The University of Haripur Faculty of Information Technology and Numerical Sciences Department of Information Technology Khyber Pakhtunkhwa Pakistan Jazan University Department of Electrical and Electronic Engineering Collage of Engineering and Computer Science Saudi Arabia Prince Mohammad Bin Fahd University Department of Electrical Engineering Al Khobar31952 Saudi Arabia Princess Nourah bint Abdulrahman University Department of Applied Linguistics College of Languages Riyadh11671 Saudi Arabia Jouf University Department of Computer Science College of Computer and Information Sciences Al-Jouf Sakaka73211 Saudi Arabia

Sentiment analysis, or more specifically, the integration of IoMT into healthcare systems, requires frameworks that must adapt at runtime with high precision. Most existing methods have several limitations of either latency or accuracy issues, and therefore perform less effectively in dynamic scenarios. This study aims to address these challenges by proposing EmoSyn, a novel framework that incorporates Emotion Wave Modulation (EWM), Neuro-Cognitive Language Dynamics (NCLD), and the Sentient IoMT Interaction Protocol (SIP). EWM generates dynamic emotional waveforms using high-dimensional feature vectors and kernelized mappings, while NCLD employs synthetic neural mappings and adaptive linguistic modeling to capture semantic transitions. SIP facilitates real-time IoMT recalibration through bidirectional sentiment-driven feedback. Implemented using mathematical frameworks and a custom Emotion-Aware Predictive Synthesis Algorithm (EAPSA), EmoSyn ensures precise sentiment interpretation and efficient IoMT interactions. The framework was evaluated using MOSEI and MIMIC-III datasets in a Python-based simulation environment. The results showed EmoSyn achieving 91% precision for MOSEI and 86% for MIMIC-III, with average latencies of 29 ms and 27 ms. © 2013 IEEE.

关键词： Semantics

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Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries

arXiv

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arXiv 2023年

作者： Vahdat-Nejad, Hamed Akbari, Mohammad Ghasem Salmani, Fatemeh Azizi, Faezeh Nili-Sani, Hamid-Reza PerLab Faculty of Electrical and Computer Engineering University of Birjand Birjand Iran Department of Statistics University of Birjand Birjand Iran

With Twitter's growth and popularity, a huge number of views are shared by users on various topics, making this platform a valuable information source on various political, social, and economic issues. This paper investigates English tweets on the Russia-Ukraine war to analyze trends reflecting users' opinions and sentiments regarding the conflict. The tweets' positive and negative sentiments are analyzed using a BERT-based model, and the time series associated with the frequency of positive and negative tweets for various countries is calculated. Then, we propose a method based on the neighborhood average for modeling and clustering the time series of countries. The clustering results provide valuable insight into public opinion regarding this conflict. Among other things, we can mention the similar thoughts of users from the United States, Canada, the United Kingdom, and most Western European countries versus the shared views of Eastern European, Scandinavian, Asian, and South American nations toward the conflict. © 2023, CC BY-NC-ND.

关键词： Sentiment analysis

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A Hydroelectric Power Plant Brief: Classification and Application of Artificial Intelligence

A Hydroelectric Power Plant Brief: Classification and Applic...

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International Symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： Ghazanfar Shahgholian Majid Moazzami Sayed Mohammadali Zanjani Amir Mosavi Arman Fathollahi Department of Electrical Engineering Najafabad Branch Islamic Azad University Najafabad Iran John von Neumann Faculty of Informatics Obuda University Budapest Hungary Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark

Hydropower is a reliable, clean, and efficient alternative to conventional fossil fuels and other renewable energy sources. The hydro turbine is the core of a hydropower plant, and the proper maintenance and operation of all other components are essential for maximizing energy production. Besides electricity generation, hydropower plants play a critical role in storing irrigation and drinking water and controlling floods. This study presents a concise overview of hydroelectric power plant classification based on the output power generated by peak water drop and storage. Pumped storage water plants are the most applicable classification based on water conditions. The study reviews the application of Artificial Intelligence (AI) in various aspects of hydropower plants, highlighting the potential benefits and challenges of integrating AI technologies in the energy production process. This paper emphasizes the importance of proper maintenance and operation of hydropower plants and provides insights into AI’s potential role in optimizing energy production and improving plant efficiency.

关键词：

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Elderly Fall Detection by Sensitive Features Based on Image Processing and Machine Learning

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Artificial Intelligence Advances 2022年第1期4卷 9-16页

作者： Mohammad Hasan Olyaei Ali Olyaei Sumaya Hamidi Faculty of Electrical Engineering Sadjad University of TechnologyMashhadIran Department of Computer Engineering Faculty of EngineeringFerdowsi University of MashhadMashhadIran ARIVET Project MashhadIran

The world’s elderly population is growing every *** is easy to say that the fall is one of the major dangers that threaten *** paper offers a Trained Model for fall detection to help the older people live comfortably and alone at *** purpose of this paper is to investigate appropriate methods for diagnosing falls by analyzing the motion and shape characteristics of the human *** machine learning technologies have been proposed for automatic fall *** proposed research reported in this paper detects a moving object by using a background subtraction algorithm with a single *** next step is to extract the features that are very important and generally describe the human shape and show the difference between the human falls from the daily *** features are based on motion,changes in human shape,and oval diameters around the human and temporal head *** features extracted from the human mask are eventually fed in to various machine learning classifiers for fall *** results showed the efficiency and reliability of the proposed method with a fall detection rate of 81%that have been tested with UR Fall Detection dataset.

关键词： Human fall detection Machine learning computer vision Elderly

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Conceptual Framework for the Optimization of Edge Device Workload Allocation in Wireless Body Area Networks

Conceptual Framework for the Optimization of Edge Device Wor...

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International Symposium on Networks, computers and Communications (ISNCC)

作者： Sachinthani Alahakoon Mustafa Muwafak Alobaedy Yousef Fazea Faculty of Information Technology City University Malaysia Petaling Jaya Malaysia Department of Computer Sciences and Electrical Engineering Marshall University Huntington WV USA

ISBN: (数字)9798350364910

ISBN: (纸本)9798350364927

Wireless body area networks (WBANs), a relatively new technology that has emerged in response to the exponential growth in the demand for healthcare, have shown themselves to be promising and are already being utilized extensively in the field of human health monitoring. Within the scope of this paper, a conceptual framework of an optimal workload allocation algorithm for edge computing-based WBAN systems is presented. Users can enhance their WBAN system by optimizing the workload allocation algorithms, which will result in a reduction in latency, energy consumption, job failure, and communication load. A final evaluation of the effectiveness of the proposed strategy was carried out, and the results of the experiment demonstrate that the proposed approach was successful in improving the quality of the system by lowering the number of transmission failures and the amount of power that was consumed.

关键词： Wireless communication Energy consumption Program processors Power demand System performance Medical services Body area networks Resource management Optimization Monitoring

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