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Zero-Shot Learning for Intelligent Fault Detection 27

Zero-Shot Learning for Intelligent Fault Detection

引用

27th International Conference on Automation and Computing, ICAC 2022

作者： Zhang, Siyu Wei, Hua-Liang University of Sheffield Dept. Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

Signal-based fault detection, as an essential technology in many engineering and industrial applications, has received extensive attention. Nevertheless, in a real-world application setting, collecting samples for some specific types of faults may be time-consuming and damaging, implying that samples of unseen faults may be unavailable in the training step. Keeping this in mind, we present a new semantic space-based zero-shot learning (SSB-ZSL) method for fault detection. The implementation of the method comprises three phases: feature extraction, human-defined semantic space, and a feature embedding model to address this issue. To evaluate the proposed method, we carry out experiments on two real datasets: a vibration-based rolling element bearing dataset from Case Western Reserve University, and an acoustic-based air compressor fault dataset. The results are promising and significantly better than that given by the compared state-of-the-art methods, showing that the proposed method can effectively detect unseen types of faults in the absence of their samples. © 2022 IEEE.

关键词： Fault detection

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Movement-Based Interaction: An Approach to Visual and Auditory Stimulus and Memory 6

Movement-Based Interaction: An Approach to Visual and Audito...

引用

6th Experiment at International Conference, exp.at 2023

作者： Nogueira, Maria Rita Menezes, Paulo Institute of Systems and Robotics University of Coimbra Coimbra Portugal University of Coimbra Dept. of Electrical and Computer Engineering Coimbra Portugal

ISBN: (纸本)9798350314403

Movement-based interaction design is an innovative field that leverages the body's natural movements to create intuitive and engaging interfaces. This approach takes a sensorial approach to visual and auditory memory, seeking to enhance user engagement and create more meaningful experiences. The use of movement-based interfaces has significant implications for senior citizens, who may have mobility limitations or cognitive impairments. Using movement-based interfaces, seniors can engage in physical activity and maintain cognitive function, essential aspects for healthy aging. Movement-based interfaces can also help children develop physical coordination, cognitive skills, and social interaction. Furthermore, movement-based interaction design can benefit everyone's physical well-being by promoting physical activity and reducing sedentary behavior. Studies have demonstrated that movement-based interfaces can enhance posture, physical activity levels, and general health. By combining movement with sensory experiences, movement-based interaction design can create a more engaging and enjoyable experience for users, which can motivate them to maintain physical and cognitive health. In this article, we present two case studies that research the effectiveness of movement-based interaction design in enhancing visual and auditory memory. Overall, the results of these case studies suggest that movement-based interaction design is an effective approach to enhancing visual and auditory memory. The introduction of movement-based interfaces can give participants a more enjoyable and memorable experience, improving user engagement and information retention. © 2023 IEEE.

关键词： Machine learning

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An Introduction to Power Electronics Design Methodology

An Introduction to Power Electronics Design Methodology

引用

2023 IEEE Design Methodologies Conference, DMC 2023

作者： Rafin, Sm Sajjad Hossain Hussein, Hossam Mohammed, Osama A. Florida International University Energy Systems Research Laboratory Dept. of Electrical and Computer Engineering MiamiFL United States

ISBN: (纸本)9798350315547

The development of effective and dependable electronic systems for a variety of applications, from renewable energy systems and electric vehicles to industrial automation and consumer electronics, depends heavily on power electronics design techniques. Moreover, the power electronics design technique offers a methodical way to create high-performance, dependable, and efficient electronic systems, which helps scholars and engineers address the unique requirements of varied applications while taking thermal management, electromagnetic interference, and safety considerations by integrating theoretical analysis, simulation tools, prototyping, and testing. The effectiveness of this methodology is further increased by the ongoing development of power semiconductor and design methodologies, which makes it possible to realize cutting-edge and environmentally friendly power electronic solutions for the modern world. Considering above mentioned importance, this paper is written as an initial guideline for scholars and engineers to design power electronic systems. © 2023 IEEE.

关键词： Design

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Demonstration of Effectiveness of Nativeness in Stepwise Learning by Performing Sentiment Analysis

Demonstration of Effectiveness of Nativeness in Stepwise Lea...

引用

2023 International Conference on Next-Generation Computing, IoT and Machine Learning, NCIM 2023

作者： Al-Mahmud Shimada, Kazutaka Kyushu Institute of Technology Dept. of Computer Science and Systems Engineering 680-4 Kawazu Iizuka 850-8502 Japan

ISBN: (纸本)9798350316001

Nowadays, more people and entities express opinions on online platforms. With this increasing trend of online opinion mass information, it is impossible to analyze them manually. For this reason, an automatic approach to opinion and sentiment analysis is essential and useful in the real world. Several approaches based on machine learning techniques in sentiment analysis have been proposed. However, machine learning essentially needs massive data to generate a robust model. On the other hand, collecting the training data is costly, especially in low-resource language. To solve this problem, we introduce stepwise learning. Stepwise learning is a technique that improves the model capacity for a target task (i.e., main task) by exploiting auxiliary information from source tasks. It is effective when the data in the target tasks are inadequate. The target task of this paper is sentiment analysis for reviews in the Bangla language. Our proposed method consists of two stages: source and target tasks. For the source task, we train a transformers-based model, such as BanglaBERT, by a large dataset translated into the Bangla language;the original dataset is written in English. For the target task, we retrain and evaluate the model with a relatively small target dataset. We further investigate the effect of opinion expression style of writers between source and target data in stepwise learning. We call it 'nativeness.' The experimental result shows that nativeness has an important role in improving performance. © 2023 IEEE.

关键词： Sentiment analysis

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Performance of the Barzilai-Borwein fixed-step optimization approach in non-invasive microwave imaging 8

Performance of the Barzilai-Borwein fixed-step optimization ...

引用

8th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2022

作者： Zanoon, Tareq F.A. Arab American University Computer Systems Engineering Dept. Jenin Palestine

ISBN: (数字)9781665488006

ISBN: (纸本)9781665488006

In this paper, the performance of the Barzilai-Borwein non-line search descent is investigated as an inversion strategy for solving the nonlinear inverse scattering problem of Ultra-Wide Band (UWB) microwave tomographic imaging. The appealing feature of reducing the computational time by avoiding extensive line search calculations is tested. The capability of this method in solving cases of high nonlinearity, due to dense and complicated tissue structures, is evaluated and compared to the classical steepest decent, and the conjugate gradient approaches. Cross-sectional slices of glandular human breast tissue structures derived from MRI numerical data phantoms are used and tested with the presence of cancerous tissue. Reconstructed images are presented and discussed with particular attention to the image reconstruction time, and the accuracy of the outcome. Results indicate that the Barzilai-Borwein fixed-step approach outperforms the others in terms of accuracy, overall convergence, and susceptibility to local minima traps, although requiring a greater number of iterations. © 2022 IEEE.

关键词： Image reconstruction

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Data Security Enhancement in Cloud Computing by Proposing a DKE Encryption Protocol

Data Security Enhancement in Cloud Computing by Proposing a ...

引用

2023 International Conference on Advances in Artificial Intelligence and Applications, AAIA 2023

作者： Ebadinezhad, Sahar Abdulmajed, Halmat Ayub Department of Computer Information Systems Near East University Nicosia Cyprus Near East University Nicosia Cyprus Dept. Engineering and Computer Systems Lebanese French University Erbil Iraq

ISBN: (纸本)9798400708268

This study uses cryptography to tackle the important problem of data security in cloud computing. Two keys are used in the Dual Key Encryption (DKE) method for both encryption and decryption. DKE employs a public key for the first encryption round before cloud upload and a user-only private key for the second round of encryption. Decryption operates oppositely. When tested and simulated with different file sizes on a CloudAnalyst simulator, DKE operates faster and more efficiently than cryptographic methods such as Triple DES (3DES), AES, RSA, and DES. Thanks to developments in information technology, cloud computing has made several services available online. Data security assurance is still very difficult to achieve, nevertheless. In this context, cryptography is essential and has led to the creation of the novel DKE technology. This technology is not only far more efficient than well-known cryptographic techniques such as 3DES, but it also improves data security. © 2023 Copyright held by the owner/author(s).

关键词： Cryptography

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Comparative Study of Three-Phase Bridge Converter Voltage control Techniques 3

Comparative Study of Three-Phase Bridge Converter Voltage Co...

引用

3rd International Conference on Electrical, computer and Communication engineering, ECCE 2023

作者： Hossain, Shah Mohazzem Rasel, Mohammad Amin, Fahmida Islam, Safkat Military Institute of Science and Technology Dept. of Electrical Electronic and Communication Engineering Dhaka1216 Bangladesh PowerChina Hubei Electric Engineering Corporation Dept. of High Voltage Substation Design and Quality Control Dhaka1200 Bangladesh Orient Energy Engineering Ltd Merul Badda East Gulshan Dept. of High Voltage Substation Design and Quality Control Dhaka1212 Bangladesh University of Grenoble Alpes Dept. of Electrical Engineering and Control Systems Grenoble France

ISBN: (纸本)9798350345360

Nowadays, voltage source converters are commonly used in renewable energy penetration and the smooth control of ac machines. Multiple strategies are followed in designing these converters. The primary purpose of the distinct design is to minimize the harmonic contents from the output waves of the converters and ensure maximum efficiency. In this paper, a three-phase bridge converter feeding a rectified dc input is interfaced with an RL load in the MATLAB/Simulink platform to compare the operational characteristics of these techniques. The total harmonic distortion is also analyzed in all these techniques to illustrate their performance in drive control. Moreover, the impact of varying dc-link voltage, load conditions, switching frequency and duty cycle on these techniques' operational char-acteristics and performances are investigated, primarily focusing on resulting harmonic contents evaluation. © 2023 IEEE.

关键词： Induction machine

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POCS-based Image Compression: An Empirical Examination 7

POCS-based Image Compression: An Empirical Examination

引用

7th International Conference on Green Technology and Sustainable Development, GTSD 2024

作者： Do, Truong-Dong Tran, Le-Anh Nguyen, Thanh-Dat Truong, Nghe-Nhan Park, Dong-Chul Le, My-Ha Sejong University Dept. of Aerospace Systems Engineering Seoul Korea Republic of Myongji University Dept. of Electronics Engineering Yongin Korea Republic of Dept. of Research and Development Ocst Co. Ltd. Seoul Korea Republic of Sejong University Dept. of Computer Science & Engineering Seoul Korea Republic of Hcmc University of Technology & Education Dept. of Electrical & Electronics Engineering Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350386073

This paper investigates the applicability of the Pro-jection onto Convex Set (POCS)-based clustering algorithm to image compression tasks. The POCS-based clustering approach treats all data points in a given dataset as non-intersecting convex sets and performs POCS-based parallel projections from each cluster prototype onto corresponding member data points to minimize an objective function and update cluster prototypes. The POCS-based clustering algorithm has been proven to be able to yield promising results against other prevailing clustering approaches in terms of convergence time and clustering error on general clustering tasks. In this study, a comparison of various clustering schemes for image compression applications has been conducted. The evaluations and analyses on various standard test images verify that the POCS-based clustering algorithm can perform competitively against other conventional clustering methods in image compression problems. © 2024 IEEE.

关键词： Unsupervised learning

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Tuning the Feedback controller Gains is a Simple Way to Improve Autonomous Driving Performance

Tuning the Feedback Controller Gains is a Simple Way to Impr...

引用

UKACC International Conference on control (control)

作者： Wenyu Liang Pablo R. Baldivieso Ross Drummond Donghwan Shin Dept. of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Dept. of Computer Science University of Sheffield Sheffield UK

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

Typical autonomous driving systems are a combination of machine learning algorithms (often involving neural networks) and classical feedback controllers. Whilst significant progress has been made in recent years on the neural network side of these systems, only limited progress has been made on the feedback controller side. Often, the feedback control gains are simply passed from paper to paper with little re-tuning taking place, even though the changes to the neural networks can alter the vehicle's closed loop dynamics. The aim of this paper is to highlight the limitations of this approach; it is shown that re-tuning the feedback controller can be a simple way to improve autonomous driving performance. To demonstrate this, the PID gains of the longitudinal controller in the TCP autonomous vehicle algorithm are tuned. This causes the driving score in CARLA to increase from 73.21 to 77.38, with the results averaged over 16 driving scenarios. Moreover, it was observed that the performance benefits were most apparent during challenging driving scenarios, such as during rain or night time, as the tuned controller led to a more assertive driving style. These results demonstrate the value of developing both the neural network and feedback control policies of autonomous driving systems simultaneously, as this can be a simple and methodical way to improve autonomous driving system performance and robustness.

关键词： Machine learning algorithms Neural networks control systems Robustness Feedback control control theory Adaptive control

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Optimizing Mobility IoT Device Networks with Dynamic RIS in mMIMO-Cooperative NOMA 6G systems 1

Optimizing Mobility IoT Device Networks with Dynamic RIS in ...

引用

1st International Conference on Emerging Technologies for Dependable Internet of Things, ICETI 2024

作者： Hassan, Khalil Hassan, Mohamed Hamid, Khalid Hassan, Elmuntaser Mokhtar, Rania A. Saeed, Mamoon M. Dept. of Comm. Systems Uni. of Science & Technology Omdurman Sudan Dept. of Electrical Eng. Omdurman Islamic Uni. Omdurman Sudan Dept. of Computer Science Al-Neelain University Khartoum Sudan Department of Computer Engineering Taif University Taif Saudi Arabia Yemen

ISBN: (纸本)9798331533557

Advanced technologies like reconfigurable intelligent surfaces (RISs), massive multiple-input multiple-output (mMIMO), and non-orthogonal multiple access (NOMA) are crucial for the upcoming 6G communications landscape, particularly for IoT applications. This study uniquely explores the effects of RIS dynamics on the performance of mMIMO downlink (DL) cooperative NOMA systems in dense IoT environments. It introduces a novel methodology for modeling dynamic traffic distribution and integrating RIS, focusing on key performance metrics such as network capacity, spectral efficiency (SE), latency, and energy efficiency (EE). Various scenarios are evaluated, considering different distributions of IoT devices and signal-to-noise ratios (SNRs). Using simulation software, the research analyzes performance under unstable channel conditions with varying device distances, speeds, and power locations, employing 256-QAM modulation and successive interference cancellation (SIC). The results demonstrate that dynamic RIS significantly enhances capacity, spectrum efficiency, latency, and EE, paving the way for optimized IoT network architecture in future wireless systems. © 2024 IEEE.

关键词： Quadrature amplitude modulation

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