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A Deep Neural Network Approach for Fault Detection in Industrial Motors: Enhancing Reliability and Efficiency in Industry 4.0 21

A Deep Neural Network Approach for Fault Detection in Indust...

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21st IEEE International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2024

作者： Ali, Hassan Ahyen, Mostafa Yaqub, Raziq Badawi, Ahmed Shifa, Noora Khandakar, Amith University of Doha for Science and Technology Department of Electrical Engineering Doha Qatar Alabama A and M University Department of Electrical Engineering and Computer Science Huntsville United States Qatar University Department of Electrical Engineering Doha Qatar

ISBN: (纸本)9798350378078

In the era of Industry 4.0, the integration of sophisticated monitoring and control technologies is essential for the reliability and efficiency of industrial equipment. This paper presents a deep neural network (DNN)-based approach for fault detection and classification in industrial motors. The approach identifies common motor faults, including bent shaft, loose vibration, loosely mounted components, electrical faults, and bearing vibration. The proposed DNN model demonstrated robust performance, achieving an overall training accuracy of 83.49% ± 0.43% and a test accuracy of 81.91 % ± 0.82%. The model also achieved a mean precision of 82.05% ± 0.77%, mean recall of 81.91 % ± 0.82%, and mean F1-Score of81.86%± 0.78%. The 95% confidence intervals for accuracy, precision, recall, and F1-Score were (80.77%, 83.04%), (80.98%, 83.11 %), (80.77%, 83.04%), and (80.78%,82.95%), respectively. These results demonstrate the DNN model's ability to precisely classify various motor faults with minimal variability, as evidenced by its narrow confidence intervals and low standard deviations. The model's reliability and efficacy for real-world applications in proactive maintenance and fault detection are confirmed by the consistent performance that is observed across cross-validation folds. © 2024 IEEE.

关键词： Predictive maintenance

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Blockchain-Enhanced Security for LEO Satellite Firmware Updates in Beyond-5G NTN Networks 29

Blockchain-Enhanced Security for LEO Satellite Firmware Upda...

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29th IEEE International Workshop on computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2024

作者： Worku, Yonatan M. Tshakwanda, Petro M. Tsegaye, Henok B. Christodoulou, Christos Devetsikiotis, Michael Sacchi, Claudio University of New Mexico Department of Electrical and Computer Engineering United States University of Trento Department of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350377644

The integration of terrestrial and Non-Terrestrial Networks (NTNs) represents a significant advancement in communication technology in the framework of the ongoing beyond-5G standardization process. This integration offers broader coverage, especially in remote and underserved areas, and improved reliability through diversified network paths. Additionally, it paves the way for new services and applications that benefit from ubiquitous connectivity. To achieve enhanced Quality of Service (QoS) and Service Level Agreements (SLAs), the end-to-end network should be open and visible to service providers and users. However, such a clear-mode approach introduces various security threats, making the network susceptible to unauthorized access and service disruption. To address these challenges, a blockchain-based satellite firmware update strategy across terrestrial 5G core and access networks is proposed. This study explores the tradeoff between throughput and QoS in the 5G NTN network when blockchain is implemented. Our experimental setup involved a network of Low Earth Orbit (LEO) satellites integrated with a 5G core, deploying a blockchain-based authentication mechanisms to secure satellite communications. The results show a tangible improvement in authentication efficiency, despite a throughput degradation of around 10 % and a latency increase of 17 % from the baseline values obtained without blockchain security. This tradeoff highlights the cost of enhanced security counter-measures in terms of network performance. Nonetheless, the security benefits, measured through successful authentication attempts, fully justify blockchain integration in scenarios where security is paramount. The proposed approach promises to secure communications in '5G and beyond' NTN hybrid environments by ensuring integrity and confidentiality to the traffic flows. © 2024 IEEE.

关键词： 5G mobile communication systems

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Skyline Frequent-utility Patterns Mining: A Survey

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第1期8卷 1-16页

作者： Wu, Jimmy Ming-Tai Zhou, Huiying Pirouz, Matin Tayeb, Shahab College of Computer Science and Engineering Shandong University of Science and Technology Qindao China Department of Computer Science California State University Fresno California United States Department of Electrical and Computer Engineering California State University Fresno California United States

High Utility Itemset Mining (HUIM) and Frequent Itemset Mining (FIM) are two important branches in the data mining area, where Frequent Itemset Mining considers itemsets that occur in large numbers in the transaction database, while High Utility Itemset Mining considers the number and unit utility value of itemsets. However, in practical applications, both mining approaches have their own limitations, for example, itemsets with a high number of occurrences may contribute less to the ultimate goal of the merchant, and although these itemsets are strongly related to each other, they do not have great reference value for the final decision. The itemsets with high utility values, on the other hand, may have a very low number of occurrences and weak connections between the itemsets. Therefore recommending these itemsets to users may not be very meaningful. In order to better meet the requirements of real life, some scholars took these two mining algorithms into account, hoping to find those high-quality itemsets, that is, those itemsets with more occurrences and high utility values. For this purpose, the skyline frequent-utility pattern mining (SFUPM) algorithm is introduced. This paper describes in detail the classification of skyline frequent-high uyility itemset mining, mining methods and future research directions. © 2023, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Data mining

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Intrinsic Entropy: A Novel Adaptive Method for Measuring the Instantaneous Complexity of Time Series

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IEEE Signal Processing Letters 2023年 30卷 160-164页

作者： Huang, Po-Hsun Hsiao, Tzu-Chien Hsinchu300 Taiwan Nycu Department of Computer Science College of Cs and Institute of Biomedical Engineering College of Electrical and Computer Engineering Hsinchu300 Taiwan

The determination of appropriate parameters and an appropriate window size in most entropy-based measurements of time-series complexity is a challenging problem. Inappropriate settings can lead to the loss of intrinsic information within a time series. Therefore, two parameter-free methods, namely the intrinsic entropy (IE) and ensemble IE (eIE) methods, are proposed in this paper. The eIE method requires two parameters, which can be easily determined through an orthogonality test. The proposed approaches can measure instantaneous complexity;thus, they do not require a predetermined window size. White noise and three other varieties of colored noise were used to test the stability of the proposed methods, and five types of synthetic signals and logistic maps were applied for measuring instantaneous complexity and regularity. The results revealed that the IE and eIE methods exhibit satisfactory stability. Both methods provide point-by-point entropy measures for time series. The eIE method is useful for measuring the complexity of frequency and amplitude modulation. Furthermore, the periodicity of time series can be detected using the two proposed methods. © 1994-2012 IEEE.

关键词： Empirical mode decomposition

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A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks

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IEEE Transactions on Cognitive Communications and Networking 2025年第3期11卷 1334-1356页

作者： Liu, Yi-Jing Du, Hongyang Xu, Xinyi Zhang, Ruichen Feng, Gang Cao, Bin Niyato, Dusit Kim, Dong In Jamalipour, Abbas Letaief, Khaled B. Tafazolli, Rahim University of Electronic Science and Technology of China National Key Lab on Wireless Communications Chengdu China University of Hong Kong Department of Electrical and Electronic Engineering Pok Fu Lam Hong Kong Nanyang Technological University College of Computing and Data Science Singapore Singapore Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of University of Sydney School of Electrical and Computer Engineering Sydney Australia Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong University of Surrey Institute for Communication Systems School of Computer Science and Electronic Engineering United Kingdom

Generative artificial intelligence (GenAI) is rapidly driving a new phase of artificial intelligence revolution, marked by various applications such as ChatGPT, Sora and DeepSeek. With powerful capabilities in content generation, personalization and user interaction, GenAI can drive significant enhancements in various mobile services to satisfy individual user preferences. Meanwhile, mobile services offer substantial support for accessibility, functionality and intelligence of GenAI applications. However, current research on integrating GenAI and mobile services remains nascent, lacking necessary theoretical and technical support. In this survey, we break down a new vision to guide research on integrating GenAI and mobile services, aiming to improve 6G intelligence levels and enable 6G mobile networks to support the integration of GenAI and mobile services effectively. We begin by examining the necessity of integrating GenAI with 6G mobile services and exploring potential learning architectures of GenAI models within mobile networks. Next, we analyze potential solutions from two perspectives: how 6G mobile networks empower GenAI and how GenAI enables mobile services. We subsequently explore a promising use case, along with essential features and techniques, to facilitate the integration of GenAI and mobile services. Finally, we discuss future research directions, aiming at realizing intelligent 6G networks. © 2015 IEEE.

关键词： Generative adversarial networks

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Aerodynamics-Based Collision-Free Control of Connected Drones in Complex Urban Low-Altitude Airspace Using Distributional Reinforcement Learning

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IEEE Transactions on Vehicular Technology 2024年第7期73卷 9763-9775页

作者： Liao, Bing-Hao Lee, Chao-Yang Wang, Li-Chun National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu City30010 Taiwan National Yunlin University of Science and Technology Department of Computer Science and Information Engineering Yunlin County64002 Taiwan

Recent growth in the number of drones has made traffic management unworkable, particularly in urban areas. The safe operation and optimized navigation of drone swarms are now growing concerns. In this article, we use distributional reinforcement learning to prevent drone collisions via aerodynamic acceleration and deceleration. Although the instantaneous acceleration or deceleration of drones during an encounter influences drone kinematics, we note that drone kinematics itself can prevent collisions via instantaneous acceleration or deceleration. This article's central question, then, is how to take drone kinematics into account to improve air traffic intersection flow performance. First, the intercommunication between drone swarms is established via an Internet of drones to send and receive the current state of each drone in the swarm and detect potential collisions. In the presence of obstacles, we first use distributional reinforcement learning to find the inevitable change in kinematic height and guide descents and ascents through air traffic intersections. Here, the drone's energy consumption during instantaneous acceleration or deceleration cannot be ignored. A properly designed speed control is crucial to the power management of the drone. Distributional reinforcement learning is used to control drone acceleration and deceleration to avoid collision risk while minimizing energy consumption according to the reference energy recorded by each drone. We flew drones to gather energy consumption data and, to validate our approach, we subsequently conducted simulations in which travel time and energy consumption were measured. We demonstrate that the proposed kinematics-based drone collision avoidance method exhibits excellent performance in terms of travel time and power management. © 1967-2012 IEEE.

关键词： Kinematics

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Relationship of IQ with Causal Connections Between Brain Salient Network Regions 31

Relationship of IQ with Causal Connections Between Brain Sal...

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31st National and 9th International Iranian Conference on Biomedical engineering, ICBME 2024

作者： Ghoorchian, Mina Soltanian-Zadeh, Hamid Pedram, Mir Mohsen Sadeghi, Mohsen Mir Mohammad Institute for Cognitive Science Studies Department of Cognitive Science Tehran Iran University of Tehran School of Electrical and Computer Engineering Tehran Iran Kharazmi University Department of Electrical and Computer Engineering Faculty of Engineering Tehran Iran

ISBN: (纸本)9798331529710

IQ is one of the indicators that has always been of interest to psychiatrists, doctors and cognitive science researchers. Since this index plays a key role in people's lives and also in the occurrence of brain abnormalities, many studies have been conducted on it. In this paper, we used the resting state magnetic resonance imaging data available in the HCP database to classify people into three groups with low, medium, and high IQ and applied machine learning methods on the matrix of causal connections between related network regions. We applied brain highlights. We calculated the matrix of causal relationships in this network by the spDCM algorithm and then obtained the differences of the three groups using the ANOVA statistical test and 6 edges out of 169 edges with p-value © 2024 IEEE.

关键词： Support vector regression

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Recent applications in dielectric barrier discharge and radio frequency plasmas‐engineered transition metal electrocatalysts for water splitting

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High Voltage 2023年第6期8卷 1115-1131页

作者： Guangliang Chen Bin He Yuxin Wang Pengchen He Liguang Dou Renwu Zhou Dongliang Chen Tao Shao Department of Materials Engineering Huzhou UniversityHuzhouChina School of Materials Science and Engineering Zhejiang Sci‐Tech UniversityHangzhouChina Beijing International S&T Cooperation Base for Plasma Science and Energy Conversion Institute of Electrical EngineeringChinese Academy of SciencesBeijingChina State Key Laboratory of Electrical Insulation and Power Equipment Centre for Plasma BiomedicineXi'an Jiaotong UniversityXi'anChina State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and EngineeringZhejiang UniversityHangzhouChina

Hydrogen generated by water electrolysis is considered as one of the most promising protocols to partly replace the roles of traditional fossil ***,high‐performance electrocatalyst satisfied with the industrial requirement still faces significant ***‐temperature plasma contains numerous high‐energy ions,electrons and other reactive species,which can provide a highly reactive environment for tuning the physio‐chemical structures of catalysts through plasma milling,etching,doping and/or *** is well‐known that high‐temperature micro‐filaments contained in plasmas can cause some special modifications of the catalyst surface,thus effectively adjusting the physio‐chemical structure of latterly engineered ***,low‐temperature plasma technologies,especially the dielectric barrier discharge(DBD)and radio frequency(RF)plasmas,can be considered as a green and sustainable strategy for engineering high‐performance electrocatalysts for water splitting(hydrogen evolution reaction[HER];oxygen evolution reaction[OER]).Herein,recent progress of DBD and RF plasmas for fabricating and modifying transition metal‐based electrocatalysts(***,phos-phide,selenide,oxide,hydroxide)for hydrogen evolution reaction or OER is compre-hensively reviewed,and the role of plasma is also discussed.

关键词： splitting dielectric transition

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IoT Revolution: Exploring the Impact of loT Based Embedded System Technology on Healthcare, Agriculture and Business Startups in Smart Village 2

IoT Revolution: Exploring the Impact of loT Based Embedded S...

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2nd International Conference on Power, electrical, Electronics and Industrial Applications, PEEIACON 2024

作者： Gupta, Rittik Das Debnath, Sourav Gupta, Riva Das Chowdhury, Mrithika Department of Electrical and Electronic Engineering Dhaka Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh Department of Economics Chattogram Bangladesh Department of Computer Science and Engineering Chattogram Bangladesh

ISBN: (纸本)9798331517984

The paper illustrates the development of an integrated Internet of Things (IoT) gadget with smart agricultural and healthcare systems, as well as the possibility for their startup firms to build a smart village. The system comprises a carefully designed front end powered by Arduino and NodeMCU microcontrollers. It has a number of high-precision sensors, including the DS18B20 for body temperature, the Max30102 for heart rate and oxygen level, the FC-28 for soil moisture, the DHT-11 for temperature of the environment and maintaining humidity, the dust sensor for air quality detection, and calibrated MQ sensors for gas detection of CH4, H2S, and NH3. The back end simply interfaces with the Blynk application, ThingSpeak, and Google spreadsheet as data storage for detailed data visualization and real-time monitoring via smart devices. A rigorous sensor validation process that was carried out, indicating that this device's measurements align statistically with those of commercially available sensors, as validated by paired sample t-tests, Q-Q plot and descriptive data analysis in SPSS software. The prototypic data analysis system is also a key aspect of this research. Our proposed research not only supports the usefulness of our technology, but also gives a direction for future users to correctly evaluate their data. The integrated IoT device exhibits its utilization for smart healthcare and precision agriculture systems for the purpose of smart village. The combination of IoT along with startup enterprises is extending unique notions that could improve global food sustainability and individual well-being. This paper displays the potential for startups to develop innovative IoT, health, and agriculture solutions that will shape a future where technology improves lives and ensures food security. © 2024 IEEE.

关键词： Smart agriculture

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Effectiveness of Almost Sub Frame Approach as Inter Cell Interference Management in LTE-A Macro - Pico Scenario 9

Effectiveness of Almost Sub Frame Approach as Inter Cell Int...

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9th IEEE International Conference for Convergence in Technology, I2CT 2024

作者： Jember, Kehali A. Abose, Tadele A. Kassahun, Ermias Madhav, T. Venu Adama Science And Technology University Department Electronics And Communication Engineering Adama Ethiopia Mettu University Department Electrical And Computer Engineering Ethiopia Gondar University Department Electrical And Computer Engineering Gondar Ethiopia

ISBN: (纸本)9798350394474

Heterogeneous networks are promising solutions for enhancing network performance of LTE-A mobile networks by deploying small cells within the area of the serving macro cells. The goal of deploying such networks is to offload data from the congested macro cells towards the small cells. However, cross tier interference is a serious issue, which is introduced due to the transmitted power difference between Macro cell node and small cell node. Hence, cell age users are mainly affected by high power interference originated from Macro node. The paper develops enhanced inter-cell interference coordination using Almost Blank Sub-Frame (ABS) to improve user throughput. This can be achieved by stopping data transmission on in certain sub frame of macro cell while Pico users are scheduled at the same frame. computer simulation results depict that the performance of Pico cell users is highly degraded, especially for cell edge users. The ABS technique improves cell edge user throughput of Pico cell by 95% and center cell user throughput by 75.25%. © 2024 IEEE.

关键词： Heterogeneous networks

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