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4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021

作者： Zhang, Gang Zhang, Zhuowei Li, Rui Zhu, Lei Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing School of Electrical and Automation Engineering Nanjing Normal University NNU Nanjing China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9781733509619

A direct synthesis design technique of multi-band filtering power dividers (FPDs) with high frequency selectivity is proposed, which is promising in both industrial and academic field. After a set of complete closed-form analytical equations are established for direct synthesis design, the proposed method is intensively described to reveal its powerful capacity in design of a multi-band FPD with any pre-specified responses, high multiband isolations and matching. To validate this design concept, a demonstrator triple-band microstrip FPD has been designed, fabricated, measured. What's more, a triple-band three-way FPD with 90° port-to-port phase differences as an extended example of the synthesis design technique has also been implemented, which furtherly shows the flexibility of the proposed method. © 2021 Applied Computational Electromagnetics Society (ACES).

关键词： Design

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A New Five-Level Switched Capacitor-Based Grid-Connected Inverter with Common Grounded Feature 6

A New Five-Level Switched Capacitor-Based Grid-Connected Inv...

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6th IEEE International Conference on Computing, Communication and automation, ICCCA 2021

作者： Kurdkandi, Naser Vosoughi Marangalu, Milad Ghavipanjeh Islam, Md. Rabiul Tallin University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia University of Tabriz Faculty of Electrical and Computer Engineering Tabriz Iran University of Wollongong Faculty of Engineering and Information Sciences NSW Australia

ISBN: (纸本)9781665414739

In this study, a new transformer-less switched-capacitor (SC) based five-level inverter with common grounded feature is proposed. In the suggested SC-based grid-tied inverter the null of the grid is tied to the negative terminal of the input power supply directly. So that, the leakage current is removed. The suggested common grounded topology can boost the voltage. Furthermore, the presented technique can eliminate the capacitor charging current spike by using a small inductor at its input. The topology description, operation modes of five-level proposed inverter, design guidelines of utilized capacitors and output inductor filter, and related simulation results for five-level common grounded SC-based inverter are presented for verifying the accurate performance of this research. © 2021 IEEE.

关键词： Topology

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Secrecy Coding for the Binary Symmetric Wiretap Channel via Linear Programming

arXiv

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arXiv 2024年

作者： Nikkhah, Ali Shoushtari, Morteza Akhbari, Bahareh Harrison, Willie K. The Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran16317-14191 Iran The Department of Electrical and Computer Engineering Brigham Young University ProvoUT84602 United States The Department of Computer and Information Science Linköping University Sweden

In this paper, we use a linear programming (LP) optimization approach to evaluate the equivocation for a wiretap channel where the main channel is noiseless, and the wiretap channel is a binary symmetric channel (BSC). Using this technique, we present an analytical limit for the achievable secrecy rate in the finite blocklength regime that is tighter than traditional fundamental limits. We also propose a secrecy coding technique that outperforms random binning codes. When there is one overhead bit, this coding technique is optimum and achieves the analytical limit. For cases with additional bits of overhead, our coding scheme can achieve equivocation rates close to the new limit. Furthermore, we evaluate the patterns of the generator matrix and the parity-check matrix for linear codes and we present binning techniques for both linear and non-linear codes using two different approaches: recursive and non-recursive. To our knowledge, this is the first optimization solution for secrecy coding obtained through linear programming. Copyright © 2024, The Authors. All rights reserved.

关键词： Linear programming

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Revolutionizing Road Safety: YOLOv8-Powered Driver Fatigue Detection

Revolutionizing Road Safety: YOLOv8-Powered Driver Fatigue D...

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2023 IEEE Asia-Pacific Conference on computer Science and Data engineering, CSDE 2023

作者： Xie, Shuaiyue Chuah, Joong Huang Chai, Grace Mei Ting Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom University of Malaya Faculty of Engineering Department of Electrical Engineering Kuala Lumpur50603 Malaysia Smart Manufacturing Systems Research Group University of Southampton Malaysia Johor Iskandar Puteri79100 Malaysia

ISBN: (纸本)9798350341072

Driver fatigue is a significant cause of road accidents. Effective real-time fatigue detection systems are necessary to improve road safety. Utilizing a lightweight and fast model and creating an effective fatigue judgment rule is important in detecting fatigue in real-time. In this research, we propose a fatigue detection model based on You Look Only Once version 8 (YOLOv8) model to detect driver's facial features and use percentage of eyelid closure over the pupil over time (PERCLOS) and Percentage of Open Mouth (POM) indicators to identify fatigue. This research is divided into two parts. The first part involves creating, labeling, and preprocessing the dataset. We use the YawDD dataset as the original dataset and manually label a new dataset using the Roboflow platform. We then preprocessed the new dataset to train the YOLOv8 model for face features detection. In the second part, we established a multi-indicator fatigue determination rule that uses PERCLOS and POM indicators and set a threshold to determine whether the driver is fatigue. By combining the YOLOv8 model with the fatigue determination rules based on PERCLOS and POM, we successfully built a model to identify a driver's fatigue. Finally, the fatigue detection model based on YOLOv8 achieves a high accuracy rate of 96.9% and a high speed of 11.4 ms/frame in face features detection, surpassing other traditional models and previous generations of YOLO models. This model can effectively detect fatigue in both driver-driving pictures and videos. © 2023 IEEE.

关键词： Roads and streets

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The Response of EEG Signal on Brain Relaxation Meditation Using Different Type of Zikr

The Response of EEG Signal on Brain Relaxation Meditation Us...

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2021 International Conference on Biomedical engineering, ICoBE 2021

作者： Razak, N.N. Abd Sidek, K.A. Alaa, K.Y.D. Nasir, N.F. Mohd Department of Electrical and Computer Engineering Kulliyyah of Engineering International Islamic University Malaysia Department of Computer Engineering College of Computer Science and Engineering University of Ha’il Saudi Arabia Biomedical Electronic Engineering Programme Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Malaysia

Depression and stress are increasingly prevalent in today’s society, owing to people's hectic, competitive, and demanding lifestyles. These illnesses had become very common, particularly among young and middle-aged people, and suicidal ideation had been identified as one of the leading causes of death by the World Health Organization (WHO). Nature sound (sound of downpours or beach) has been linked to depression and anxiety in neurology research, and it has been shown to be an alternative to alleviate anxiety. The electroencephalogram (EEG) waveform has been discovered to possess the potential in identifying information from the brain signal as well as data from the past via Bluetooth communication. The waveform use in the study are the result of a few experiments. In this study, EEG data were collected from eight subjects, four males and four females, in between the age of 20 to 30 years old and in good health, using the BrainLink device. The participants were asked to listen to two playlists of zikr, Allah, Ya Allah, and SubhanAllah, during the experiments. To smooth the signal, the Butterworth filter was used. Later, the extracted features were Alpha, Beta, and Delta waves, which were segmented based on the filtered signal. To complete the decision-making stage, the average value of amplitude differences and the p-value test were performed in the final phase. Based on the results of the experiments, it is clear that zikr is dominant in Delta wave. In terms of data hypothesis analysis, the results of both experiment were differentiated to determine which brain signal was dominant, and p-value testing was performed. Furthermore, this research is an alternative to current methods because it suggest that zikr has the tendency to alter a person's brain state to be either in a relaxed or calm mode regardless of the type of zikr recitation. As an outcome, the study recommends the relationship of the reaction of EEG signal on brain relaxation with different types of zikr

关键词： Electroencephalography

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A Fuzzy GPSR Route Selection Based on Link Quality and Neighbor Node in VANET

A Fuzzy GPSR Route Selection Based on Link Quality and Neigh...

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2021 International Conference on Intelligent Technology, System and Service for Internet of Everything, ITSS-IoE 2021

作者： Aljabry, Israa A. Al-Suhail, Ghaida A. Jabbar, Waheb A. University Of Basrah Department Of Computer Engineering Basrah Iraq Universiti Malaysia Faculty Of Electrical Electronic Engineering Technology Pahang Malaysia

ISBN: (纸本)9781665433051

Over recent years, a new technology named VANET (Vehicular Ad-hoc Networks) is highly recommended in smart cities and especially in Intelligent Transportation Systems (ITS). The VANET technology relies on the nodes acting like cars without the necessity for any controller or central base station by creating a wireless link among them. It enables cars to send and receive information between themselves and their environment. most VANETs utilize position-based routing protocols because they contain a GPS device. To deal with VANET problems, one solution is Geographic Perimeter Stateless Routing (GPSR) which has been broadly implemented. This paper suggests an effective intelligent fuzzy logic control system;called the FL-QN GPSR routing protocol. The proposed routing protocol incorporates two metrics link quality, and neighbor node to detect the best next-hop node for packet forwarding also updates the format of the Hello message by adding the direction field to be more suitable to our simulation. The OMNeT++ and SUMO simulation tools are both used in parallel to examine the VANET environment. The obtained results of the four simulation experiments in urban environments indicate substantial improvements in the network performance compared to the traditional GPSR and AODV concerning the QoS parameters. © 2021 IEEE.

关键词： Intelligent systems

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Interactions of fractional solitons with local defects: Stabilization and scattering

arXiv

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arXiv 2025年

作者： Mayteevarunyoo, Thawatchai Malomed, Boris A. Department of Electrical and Computer Engineering Faculty of Engineering Naresuan University Phitsanulok65000 Thailand Department of Physical Electronics School of Electrical Engineering Faculty of Engineering Tel Aviv University P.O.B. 39040 Ramat Aviv Tel Aviv Israel Instituto de Alta Investigación Universidad de Tarapacá Casilla 7D Arica Chile

Stability is an essential problem in theoretical and experimental studies of solitons in nonlinear media with fractional diffraction, which is represented by the Riesz derivative with Lévy index (LI) α, taking v... 详细信息

关键词： Solitons

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Integrated self-referencing single shot digital holographic microscope and optical tweezer

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Light(Advanced Manufacturing) 2022年第3期3卷 205-218页

作者： Subhash Utadiya Sachin Joshi Nimit Patel Chetna Patel Mugdha Joglekar Vani Cahhniwal Timothy O’Connor Bahram Javidi Arun Anand Optics Laboratory Applied Physics DepartmentFaculty of Technology and EngineeringThe Maharaja Sayajirao University of BarodaVadodara 390001India Department of Electrical and Computer Engineering University of ConnecticutStorrsCT06269-4157USA Institute of Interdisciplinary Studies The Maharaja Sayajirao University of BarodaVadodaraIndia

Digital holographic microscopy is a single-shot technique for quantitative phase imaging of samples,yielding thickness profiles of phase *** provides sample features based on their morphology,leading to their classification and ***,observing samples,especially cells,in fluids using holographic microscopes is difficult without immobilizing the *** tweezers can be used for sample immobilization in *** present manuscript provides an overview of our ongoing work on the development of a compact,low-cost microscopy system for digital holographic imaging of optically trapped *** of digital holographic microscopy system with tweezers is realized by using the optical pickup unit extracted from DVD burners to trap microsamples,which are then holographically imaged using a highly compact self-referencing interferometer along with a low-cost,in-house developed quadrant photodiode,providing morphological and spectral information of trapped *** developed integrated module was tested using polystyrene microspheres as well as human *** investigated system offers a multitude of sample features,including physical and mechanical parameters and corner frequency information of the *** features were used for sample *** proposed technique has vast potential in opening up new avenues for low-cost,digital holographic imaging and analysis of immobilized samples in fluids and their classification.

关键词： Digital holographic microscopy Optical tweezers Red blood cells Quantitative phase imaging

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Developing a Deep Learning-Based Automated Inspection System for Real-Time Detection of Fingerprint Patterns in Optical surfaces via Semantic Segmentation 25

Developing a Deep Learning-Based Automated Inspection System...

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Proceedings of the 4th International Conference on computer, Artificial Intelligence and Control engineering

作者： Farhan Sattar Jishi Zheng Dingrong Yi Yuge Xie Faculty of Transportation Engineering Department of Electrical Engineering Artificial Intelligence Laboratory Fujian University of Technology Fuzhou Fujian China Faculty of Transportation Department of Electrical Engineering Intelligent Transportation System Research Center Fujian University of Technology Fuzhou Fujian China College of Mechanical Engineering and Automation Huaqiao University Xiamen Fujian China Intelligent Transportation System Research Center Fujian University of Technology Fuzhou Fujian China

ISBN: (纸本)9798400712647

In this study, researchers employed an automated inspection system based on deep learning to detect fingerprint patterns in real time on optical surfaces. The DeepLabv3+ model to employ semantic segmentation and optimized for complicated tasks involving microscale backgrounds that affect the performance of optical surfaces. The system showed Pixel accuracy 99.7%, precision 97.2%, recall 96.8%, and the mean intersection over union (IoU) score is 93.1%. The core of this study was trained the model to curate a diverse dataset representing various imaging conditions and fingerprint types. The main focus was to enhance the model's generalizability under different environmental and lighting conditions, which is critical for real-world applications. The system's practical use in manufacturing validates its utility and adaptability for various optical products. Although this study introduced a robust system for detecting fingerprint patterns on optical surfaces, it acknowledged limitations, including dependency on dataset diversity and quality, high costs for real-time processing, and environmental factors affecting accuracy. This research offers quality control and efficient solutions for the industry where precision is paramount for optical surfaces. It has paved the way for future exploration in automated fingerprint detection systems and highlights the importance of deep learning to ensure quality control in manufacturing processes.

关键词： Automated inspection system

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Unveiling Emotions and Themes in Thai Songs via Topic Modeling

Unveiling Emotions and Themes in Thai Songs via Topic Modeli...

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International Joint Conference on computer Science and Software engineering (JCSSE)

作者： Panupong Wanjantuk Niyom Pinitkarn Sonephanom Sengthavideth Jirat Matthayomnan Anupap Meesomboon Department of Computer Engineering Faculty of Engineering Khon Kaen University Khon Kaen Thailand Department of Electrical Engineering Faculty of Engineering Khon Kaen University Khon Kaen Thailand Scientific Research and Academic Services Office Champassak University Pakse City Western Music Department Bansomdejchaopraya Rajabhat University Bangkok Thailand

ISBN: (数字)9798350381764

ISBN: (纸本)9798350381771

This paper presents a comprehensive analysis of Thai song lyrics through the application of Latent Dirichlet Allocation (LDA), exploring the thematic and emotional landscapes embedded within. By leveraging advanced computational linguistics techniques, this study uncovers the dominant themes such as love, personal growth, cultural identity, and their prevalence across a diverse corpus of lyrics. The findings illustrate how music serves as a mirror to societal values and individual experiences, revealing a nuanced tapestry of life's narratives that resonate deeply within Thai culture. Employing the Gensim library for LDA model implementation, the research meticulously fine-tunes model parameters, including topic numbers and hyperparameters, to ensure optimal thematic distinction and coherence. The analysis benefits from both quantitative metrics, like Coherence and Perplexity Scores, and qualitative expert evaluations, validating the cultural relevance and authenticity of the identified themes. Key contributions of this work include the innovative use of computational techniques in cultural analytics, enhancing our understanding of thematic and emotional dimensions in music. The study not only sheds light on the intricacies of Thai song lyrics but also demonstrates the potential of computational approaches in the arts and humanities. By providing artists and the music industry with data-driven insights and enriching cultural studies, this research underscores the symbiotic relationship between music, language, and society, paving the way for future interdisciplinary explorations.

关键词： Industries Analytical models Art Computational modeling Music Coherence Market research

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