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results in Engineering 2025年 26卷

作者： Tamilarasan, A. rajamani, d. Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences SIMATS Chennai India Centre for Advanced Materials Processing Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai600062 India

Image segmentation is a critical aspect of image processing, particularly for applications requiring precise object identification. This study introduces a novel multilevel thresholding technique for grayscale image segmentation based on the Snake Optimizer (SO) algorithm, which is inspired by the mating behaviour of snakes. The proposed method aims to maximize fuzzy entropy to determine optimal threshold values, thereby enhancing segmentation accuracy. Extensive experiments were conducted on ten benchmark images, utilizing 2 to 5 thresholds, and comparing the performance of the SO algorithm against three state-of-the-art algorithms: Salp Swarm Algorithm (SSA), Grey Wolf Optimization (GWO), and Moth Flame Optimization (MFO).The results demonstrate that the SO algorithm consistently outperforms its counterparts across various metrics, achieving the highest average fitness values in 35 out of 40 attempts, with notable improvements in PSNr, SSIM, and FSIM. Specifically, the SO achieved an average PSNr of 26.617 for the 'Barbara' image at 5 thresholds, surpassing SSA (26.568), GWO (26.561), and MFO (26.515). Additionally, the SO recorded an SSIM of 0.9575 for the same image, significantly higher than SSA (0.9339), GWO (0.9114), and MFO (0.8934). The computational efficiency of the SO is also highlighted, with lower average CPU times, achieving 3.1217 s for the 'Ostrich' image at 2 thresholds, compared to SSA (3.1298), GWO (3.8539), and MFO (3.9343).Statistical analysis using Wilcoxon rank-sum tests further confirms the significant performance advantages of the SO algorithm, establishing it as a robust and effective solution for multilevel thresholding in image segmentation tasks. © 2025 The Author(s)

关键词： Image segmentation

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Analysis of Electroencephalographic Signals to Study the Behavior of Brain Frequencies for the Study of Academic Stress 2

Analysis of Electroencephalographic Signals to Study the Beh...

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2nd International Conference on Automation, Computing and renewable Systems, ICACrS 2023

作者： Moyeenudin, H.M. Hannah, S. Anuradha, T. Muthalagu, r. Seedha devi, V. Jose Anand, A. Vels Institute of Science Technology and Advanced Studies Tamil Nadu Chennai600117 India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu 6000262 India Department of Electrical and Electronics Engineering KCG College of Technology Tamil Nadu Chennai600097 India Department of Biomedical Engineering Karpaga Vinayaga College of Engineering and Technology Tamil Nadu 603308 India Department of IT Jaya Engineering College Tamil Nadu Chennai602024 India Department of ECE KCG College of Technology Tamil Nadu Chennai600 097 India

ISBN: (纸本)9798350340235

The current study perform an analysis of electroencephalographic signals to study the behavior of brain frequencies in subjects who are under academic stress generated by a cognitive task, while listening to music or being silent. Creation of a corpus of more than 10 subjects under different sound stimuli is created. Characterization of brain signals are characterized for the identification of academic stress. Protocol is designed and brain signals are collected to observe the relationship between music listening and academic stress. EEG signal classifiers are used to identify differences between different sessions. Analysis of brain frequencies are analysed obtained in the sessions for each participant. © 2023 IEEE.

关键词： Academic Stress Brain Frequencies Brainwave Patterns EEG (Electroencephalography) Stress response

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development of two-stage calibration technique for mems/fog inertial navigation system

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Journal of Institute of Control, robotics and Systems 2021年第6期27卷 450-458页

作者： Yu, Haesung Seo, Yeong-Bin Lee, Inseop Oh, Juhyun Yi, Hyeongsub Kim, Cheonjoong Lee, Sang Jeong The 3rd R&D Institute-3rd Directorate Agency for Defense Development Korea Republic of Weapon System Engineering University of Science and Technology Department of Electronics Engineering Chungnam National University Korea Republic of

This paper presents a two-stage calibration method for a MEMS/FOG inertial navigation system (INS). In general, low-grade MEMS accelerometers cannot realize indirect calibration due to the occurrence of large errors. The indirect calibration method calculates the inertial sensor error as a linear combination of the velocity errors by changing the posture according to the rotation sequence based on the rate table and by repeating the alignment and navigation processes. However, if the inertial sensor error is extremely large, a nonlinear velocity error is additionally generated, and thus, the inertial sensor error cannot be accurately calculated. In this study, we developed a two-level calibration method. In the first stage, the large error of the inertial sensor was calculated and compensated via a direct calibration method. In the second stage, indirect calibration was performed by repeating the alignment and navigation processes by using the accelerometer and gyro calibrated in the first stage. The performance of the inertial navigation system could be enhanced by applying an indirect calibration technique suitable to the operating environment. The experimental results demonstrated that the proposed method could reduce the navigation error. © ICrOS 2021.

关键词： Inertial navigation systems

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The Implementation of Blockchain technology to Manage data in a Secure and Transparent Manner for Biomedical Applications 9

The Implementation of Blockchain Technology to Manage Data i...

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9th International Conference on Communication and Electronics Systems, ICCES 2024

作者： Velmurugan, M. Nirmala, d. Pandi, V. Samuthira Jeyanthi, P. Monisha, T. Bhagyalakshmi, T. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Avadi-Vel Tech Road Vel Nagar Avadi Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Biosciences Chennai India Jeppiaar Engineering College Department of Cse Semmencherry Chennai India Jeppiaar Engineering College Department of It Semmencherry Chennai India

ISBN: (纸本)9798350377972

This research investigates the application of Blockchain technology to enhance the security, transparency, and efficiency of biomedical data management. By analyzing existing data management practices in the biomedical industry and identifying their limitations, the study explores the potential of blockchain to address these challenges. The research focuses on developing a blockchain-based framework for secure data sharing, leveraging the inherent features of blockchain technology, such as decentralization, immutability, and cryptographic security. Through simulations and case studies, the study evaluates the feasibility and effectiveness of the proposed framework in addressing critical issues such as data security, privacy, and interoperability. The findings of this research demonstrate the potential of blockchain technology to revolutionize biomedical data management, enabling secure and efficient data sharing while ensuring patient confidentiality and regulatory compliance. This research has broader implications for other data-intensive sectors, highlighting the potential of blockchain technology to enhance data security and integrity across various domains. © 2024 IEEE.

关键词： data integrity

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dVI-SLAM: A dual Visual Inertial SLAM Network

DVI-SLAM: A Dual Visual Inertial SLAM Network

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IEEE International Conference on robotics and Automation (ICrA)

作者： Xiongfeng Peng Zhihua Liu Weiming Li Ping Tan Soon Yong Cho Qiang Wang SAIT-China Lab Samsung R&D Institute China Beijing China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology China Multimedia System TU Samsung Advanced Institute of Technology South Korea

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

recent deep learning based visual simultaneous localization and mapping (SLAM) methods have made significant progress. However, how to make full use of visual information as well as better integrate with inertial measurement unit (IMU) in visual SLAM has potential research value. This paper proposes a novel deep SLAM network with dual visual factors. The basic idea is to integrate both photometric factor and re-projection factor into the end-to-end differentiable structure through multi-factor data association module. We show that the proposed network dynamically learns and adjusts the confidence maps of both visual factors and it can be further extended to include the IMU factors as well. Extensive experiments validate that our proposed method significantly outperforms the state-of-the-art methods on several public datasets, including TartanAir, EuroC and ETH3d-SLAM. Specifically, when dynamically fusing the three factors together, the absolute trajectory error for both monocular and stereo configurations on EuroC dataset has reduced by 45.3% and 36.2% respectively.

关键词： deep learning Visualization Simultaneous localization and mapping Measurement units Inertial navigation Trajectory robotics and automation

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Modified Kelvin-Voigt fractional derivative model for viscoelasticity measurement in optical coherence elastography

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Chinese Optics Letters 2025年第1期23卷 93-101页

作者： Chenming Yang Zhongliang Li Nan Nan Teng Liu Yaoli Luo Xiangzhao Wang Advanced Light Source and System R&D Center Department of Advanced Optical and Microelectronic EquipmentShanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China

Optical coherence elastography(OCE)can quantitatively obtain the viscoelasticity of tissues using rheological models and is widely applied to the clinical diagnosis of ***,commonly used rheological models in OCE do not account for the distinctive dependence of high-frequency storage and loss moduli on frequency in tissues,which results in the rheological models failing to accurately measure the viscoelastic properties of *** this paper,a modified Kelvin-Voigt fractional derivative model is presented based on the power-law behavior of soft tissues and the dependence of high-frequency complex shear modulus on frequency in living *** the rheometer and OCE tests,the modified model can provide the prediction of the power-law relationship between the low-frequency shear viscosity and frequency;compared with the Kelvin-Voigt and Kelvin-Voigt fractional derivative models,the modified model has a higher goodness-of-fit(accuracy>96%)for the high-frequency storage moduli of gelatin ***,the proposed model can reduce the root mean square error of fit by approximately 83%for the high-frequency(1–128 kHz)storage modulus of the polydimethylsiloxane phantoms obtained from publicly available ***,the modified model accurately predicts the mechanical properties of biomimetic materials over a wide frequency range,with the potential to more accurately reflect pathological changes in tissues.

关键词： optical coherence tomography optical coherence elastography viscoelasticity rheological model

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A Multi-Source domain Adaptation Method for Fault diagnosis of Train Axle Box Bearings under Limited Samples 15

A Multi-Source Domain Adaptation Method for Fault Diagnosis ...

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15th IEEE Global reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Shen, Zelin Wang, Biao Wang, Hui Qin, Yong Wang, Jian Guo, Mo Qiao, Yueqi School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China Technology Research Center for High-speed EMU Final Assembly CRRC Qingdao Sifang Co. Ltd. Qingdao66111 China New Technology Research Department of R&D CRRC Changchun Railway Vehicles Co. Ltd. Changchun130011 China

ISBN: (纸本)9798350354010

Transfer learning based on domain adaption demonstrates powerful capabilities in intelligent fault diagnosis. It enables diagnosis networks to utilize data from various sources, potentially improving the diagnostic performance of networks in practical engineering scenarios where measurement samples are limited. Nevertheless, current research faces several constraints: (1) They lack effective alignment methods to extract invariant representations of the source domain and the target domain. (2) They align distributions without taking into account the domain-specific decision boundaries that separate classes. To address the aforementioned limitations, a novel multi-source unsupervised domain adaptation framework is introduced for fault diagnosis of train axle box bearings. Firstly, it aligns the domain-specific distribution for each source-target domain pair. Then, utilizing the domain-specific decision boundaries, it aligns the classifiers for bearing fault states. Finally, we carried out two experiments to collect data, including train axle box bearing faults simulation and bearing faults finite element analysis. The proposed framework's effectiveness and superiority are validated through ablation studies and comparative method experiments. © 2024 IEEE.

关键词： railroad bearings

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Vision-Based Online Molten Pool Monitoring for Gas Metal Arc Welding Process

SSRN

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SSrN 2023年

作者： Kim, Gwang-Gook Kim, dong-Yoon Park, Junhong Yu, Jiyoung Advanced Joining & Additive Manufacturing R&D Department Korea Institute of Industrial Technology Incheon Korea Republic of Department of Mechanical Convergence Engineering Hanyang University Seoul Korea Republic of

In the gas metal arc welding process, welding quality is influenced by various factors, including welding conditions and the external environment. Achieving high welding quality requires careful attention to observation and control. Welding monitoring is crucial to validate the planned welding process and assess its quality. This study introduces a vision system that proposes the acquisition of clear molten pool images online. It utilizes a small camera equipped with a complementary metal-oxide-semiconductor sensor during gas metal arc welding, as well as a method to construct this system. The proposed vision system aims to reduce costs by having a straightforward configuration and achieving online quality monitoring during mild steel gas metal arc welding. Accurate measurement of radiation from the weld is vital for clear observation of the molten pool during welding, emphasizing the importance of selecting an optical system with appropriate lenses and filters. Evaluation of captured images demonstrated that the proposed method successfully acquires high-quality images, establishing its suitability for welding quality monitoring. © 2023, The Authors. All rights reserved.

关键词： Oxide semiconductors

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High-Speed Wafer Temperature Control Approach of Step Chiller for Semiconductor Manufacturing Equipment

High-Speed Wafer Temperature Control Approach of Step Chille...

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Annual Conference of Industrial Electronics Society

作者： Hyeonjun Yun Hyeseon Kwon Sangsu Yeh Minsu Lee Jonghwa Kim Yunha Kim Seungwoo Cha Mingu Kang Jooyeop Nam Mechatronics R&D Center Samsung Electronics Hwaseong-si Republic of Korea Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea

As the complexity of semiconductor manufacturing processes increases, various temperature control conditions are required to ensure the etching of various materials is optimized. Fast and precise temperature control is a key factor in the semiconductor production throughput and yield, making the development of a step chiller essential. This chiller mixes hot and cold coolants from two sources, enabling faster cooling/heating than can be achieved from a single source. In this paper, we propose a system identification and control strategy that can maximize the performance of step chillers for semiconductor production equipment, focusing on both speed and accuracy aspects. An approach of model reduction is utilized to transform the highly nonlinear time-varying delay system of the chiller into a linear time-invariant delay system. We then outline a model-based feedforward/feedback controller based on delay system control theory, and conclude with an experimental result demonstrating the effectiveness of the proposed control algorithm.

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A proposal on dynamic bandwidth allocation for one-dimensionally moving mobile entities

A proposal on dynamic bandwidth allocation for one-dimension...

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International Conference on Information Networking

作者： Yuta Tachikawa Yuki Hatanaka ryo Murakami Tetsuya Yokotani Hiroshi Minemo Seiji Kozaki Takeshi Suehiro Kenichi Nakura Shigenori Tani Department of Electrical and Electronic Engineering (Graduate School of Engineering) Kanazawa Institute of Technology Ishikawa Japan (department of technology) Department of Electrical and Electronic Engineering Kanazawa Institute of Technology Ishikawa Japan (Graduate School of Science and Technology) Shizuoka University Shizuoka Japan Mitsubishi Electric Corporation (Development Division) Information Technology R&D Center Kanagawa Japan

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

recent years, with the introduction of 5th generation mobile communication networks, bursty traffic and upstream traffic characteristics have changed significantly. The deployment of small cells and passive optical networks for highspeed broadband services are considered. Passive optical network technology can apply to multiplex many small cells. The authors have proposed BCOM as a bandwidth control scheme for uplink traffic and have carried out bandwidth allocation, assuming the case where mobile vehicles pass according to schedule. In this paper, BCOMs evaluate assuming that mobile vehicles do not arrive on schedule.

关键词： Multiplexing Schedules Bandwidth Channel allocation Passive optical networks Broadband communication resource management Proposals Vehicle dynamics Uplink

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