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15th International Conference Elektro, ELEKTRO 2024

作者： Martincek, Ivan Kacik, Daniel Goraus, Matej Zvolensky, Peter University of Zilina Faculty of Electrical Engineering and Information Technology Dept. of Physics Zilina01026 Slovakia University of Zilina Faculty of Mechanical Engineering Dept of Transport and Handling Machines Zilina Slovakia

ISBN: (纸本)9798350372359

The article introduces an innovative support element for an optical fiber sensor utilizing a Fabry-Pérot interferometer (FPI) designed for monitoring railway traffic. This removable support element, attached to the bottom of the railway track using permanent magnets, allows for repeated installation and relocation without compromising the sensor's functionality. The support element's metallic structure, magnetic attachment to the rail, and the bonding of the sensing optical fiber ensure adequate protection against environmental conditions. Tested on a railway track for one year, the sensor demonstrated stable positioning and consistent signal detection during the passage of train formations. This design, while tailored for FPI sensors, offers versatile application potential for other optical fiber sensors leveraging fiber Bragg gratings. © 2024 IEEE.

关键词： Fiber optic sensors

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Design of Output and Impacts control Systems

Design of Output and Impacts Control Systems

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Gaiduk, Anatoly Prokopenko, Nikolay Chumakov, Vladislav Southern Federal University Scientific Design Office Robotics and Control Systems Taganrog Dept. of Automatic Control Systems Rostov-on-Don Russia Don State Technical University Dept. of Scientific Research Dept. of Information Systems and Radio Engineering Rostov-on-Don Russia

ISBN: (纸本)9798350345551

To design linear control systems a new method is suggested on the basis of the principle of output and impacts control. The main difference of this principle consists in the use of only measurable variables and separate operators for each input signal of the control device. The design problem has a solution if the plant is completely controllable, and at least the controllable variable is measured. The suggested approach makes it possible to eliminate the well-known contradiction between the accuracy and stability of systems with control on deviation, and to provide the required astatism orders or selective invariance to the external actions. At the same time, the conditions of ensuring the direct indicators of the transient quality and the physical implementation of the control device are taken into account. The coefficients of the equation of the output and impacts control device are determined by solving a system of linear algebraic equations. The control device can be implemented on the basis of either operational amplifiers or sufficiently high-speed digital automation tools. The suggested method can be applied for designing high-quality linear control systems for various purposes. © 2023 IEEE.

关键词： Operational amplifiers

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A multi-point capacitive sensing smart clothing applied to posture detection

A multi-point capacitive sensing smart clothing applied to p...

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2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Yang, Chang-Ming Wu, Shu-Cing Liao, Kuo-Cheng Wu, Ze-We Chen, Shih-Hung Chen, Chi-Chun Ming Young Biomedical Corp. Miaoli Taiwan National Chin-Yi University of Technology Prospective Technology of Electrical Engineering and Computer Science Taichung Taiwan National Chin-Yi University of Technology Dept. of Computer Science and Information Engineering Taichung Taiwan National Chin-Yi University of Technology Dept. of Electronic Engineering Taichung Taiwan

ISBN: (纸本)9798350324136

This study introduced a system of multi-point capacitive sensing smart garment designed for posture detection. This smart garment utilized multiple capacitive sensors placed at different positions to monitor changes in body posture movements. These sensors were capable of detecting subtle variations between the garment and the wearer's body and translating this data into understandable information. By analyzing the collected data, this smart garment can provide real-Time monitoring of the user's posture, such as standing, sitting, or lying down. © 2024 IEEE.

关键词： garment multi-point capacitive sensing posture respiration

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STATIC AND TRANSIENT STRESS ANALYSIS OF NECURON-NECURON ELLIPTICAL GEAR TRANSMISSION

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UPB Scientific Bulletin, Series D: Mechanical engineering 2022年第1期84卷 225-236页

作者： Lambrescu, Ionuț Bogdan-Roth, Mihai Dept. Informatics Information Technology Mathematics and Physics Petroleum-Gas University Romania Dept Mechanical Engineering Petroleum-Gas University Romania

Elliptical gear transmissions although not as widely used as cylindrical ones, offer the advantage of varying the rotation speed within the same turn without the need of complicated mechanisms or driving motors. In the meantime, the elliptical gears present some particularities regarding the teeth geometry that will influence the stress/strain distribution. Since the teeth for an elliptical gear are not identical, a comprehensive analysis of the stress/strain distribution is more complex because it implies analysis for different positions of the gears. Keeping this in mind, the authors present in the paper analytical (for the contact pressure – Hertz formula), 2D and 3D static and transient finite element analysis (FEA) for an elliptical gear transmission with fixed distance between shafts and straight teeth. To fully describe the materials involved in the analysis, a device for measuring the static friction coefficient has been developed by the authors. Analytical results were compared with FEA ones. The results obtained by the authors were compared with the one obtained by other researchers. Conclusions and discussions regarding the stress distribution are presented. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Stress analysis

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Energy Conservation of Three-Phase Induction Motors Through IoT-Enabled Intelligent Operation Management System

Energy Conservation of Three-Phase Induction Motors Through ...

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2022 International Conference on Emerging Trends in Electrical, control, and Telecommunication engineering, ETECTE 2022

作者： Sabir, Abdullah Ilyas, Fahad Tauqeer, Tauseef Sohaib, Muhammad Information Technology University Dept. of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9781665492423

In this paper, we worked on the development of an IoT-based, low-cost industrial solution for the Automatic operation of 10 (Three-Phase Induction) motors installed at the disposal station. Manual operation of a large number of motors at the disposal station is a rigorous process that involves constant monitoring of wastewater levels in the wells and operating motors accordingly. The chance of human error in this situation is high which also involves risk to the expensive machinery. The proposed solution provides contactless operation of motors hence keeping the wastewater in wells to their minimum level while reducing the load in sanitation lines. The system is also capable of Auto/Manual mode selection, monitoring the level of water in wells through ultrasonic sensors, avoiding dry runs by operating the motors at an optimum level, and monitoring the running status of motors. Moreover, all this data can be visualized graphically on the web server for the required date and time. The comparison of results before and after the installation of this system shows significant energy conservation results which make this system feasible to install at large facilities. © 2022 IEEE.

关键词： Energy conservation

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Implementing a Novel Blockchain Algorithm for Enhanced Data Integrity in Cloud Systems 2

Implementing a Novel Blockchain Algorithm for Enhanced Data ...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Balaji, V. Ambika, S. Varshadevi, S. Rajasekaran, R. Thalapathi Sangeetha, J. Chennai India E.G.S.Pillay Engineering College Department of Information Technology Tamil Nadu Nagapattinam India Grt Institute of Engineering and Technology Dept. of Computer Science and Engineering Tamil Nadu Tiruttani India Saveetha School of Engineering SIMATS Dept. of Computer Science and Engineering Chennai India Sri Venkateswara College of Engineering and Technology Thiruvalluvar Tirupachur India

ISBN: (纸本)9798350384277

Keeping data safe and sound in cloud systems is important. So, new ways need to be found so private information can't get changed or seen without permission by wrong people. This research gives a new blockchain method to make data reliability better in cloud systems. We show how our suggested method is better and more useful than others in keeping data safe. We do this by doing a deep study and comparing with other ways that are currently used. When we look at how many transactions a system can handle, the time it takes for things to happen and its ability to grow bigger without problems, our suggested method does better than other solutions in Comparing Performance. It handles 1000 transactions each second, with a time delay of only 10 milliseconds. It can work well for up to one hundred nodes on the network while still showing it's efficient and able to keep growing bigger over time. The Data Comparison shows that our suggested way is very good at finding out false information, and it can find 98% of this. Besides, it quickly recovers data with a downtime of only 2 hours. This makes it different from old ways by making sure data can't be changed and there are strong checks on who did what. Security Check shows our new plan works well. It stops people spending money twice, stands up against cheating tactics and keeps a strong Byzantine Fault Tolerance (BFT) at 99.9%. The Proof of Stake agreement is both easy on energy and safe. Security of smart contracts is also talked about, to make them safer. © 2024 IEEE.

关键词： Cloud security

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Using textile capacitive sensors to train synchronized movement of hands

Using textile capacitive sensors to train synchronized movem...

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2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Yang, Chang-Ming Wu, Shu-Cing Chen, Shih-Hung Wu, Ze-We Liao, Kuo-Cheng Chen, Chi-Chun Ming Young Biomedical Corp. Miaoli Taiwan National Chin-Yi University of Technology Program Prospective Technology of Electrical Engineering and Computer Science Taichung Taiwan National Chin-Yi University of Technology Dept. of Computer Science and Information Engineering Taichung Taiwan National Chin-Yi University of Technology Dept. of Electronic Engineering Taichung Taiwan

ISBN: (纸本)9798350324136

This study introduced a capacitive sensing interactive game platform aimed at promoting emotional stability, which we have named the 'Sunrise and Sunset' game. This game primarily consists of two pieces of regular textile fabric enveloping conductive silver fabric. A microcontroller was employed to extract the sensed capacitive values, and a game named 'Sunrise and Sunset' is designed to complement the slow raising and lowering of both hands. The development of this gaming platform has the potential to offer a novel method of emotional management, particularly in high-stress living environments. It can serve as an effective relaxation tool, aiding individuals in emotional balance, anxiety reduction, and stress alleviation. Simultaneously, this platform can contribute to the promotion of mental well-being, providing an engaging and beneficial means for people to manage their emotions and moods. © 2024 IEEE.

关键词： capacitive sensing emotional stability game relaxation tool silver fabric

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Bistatic Inverse Synthetic Aperture Radar Imaging of Automotive Targets at Millimeter Frequencies

Bistatic Inverse Synthetic Aperture Radar Imaging of Automot...

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2023 IEEE International Radar Conference, RADAR 2023

作者： Kumar, Soma Anil Ram, Shobha Sundar Srihari, Pathipati National Institute of Technology Karnataka Dept. of Electronics and Communication Engineering Surathkal Mangalore India Indraprastha Institute of Information Technology Delhi Dept. of Electronics and Communications New Delhi India

ISBN: (纸本)9781665482783

High-resolution inverse synthetic aperture radar (ISAR) images of road vehicles at millimeter wave frequencies provide useful information regarding the size, shape, number of wheels, and nature of the target trajectory. They are thus effective features for target classification. However, in some geometrically adverse scenarios, it may not be possible to generate ISAR images in monostatic radar conditions. Here, bistatic ISAR images generated from well separated transmitting and receiving antennas may overcome the limitations of the monostatic geometry or supplement the information obtained from monostatic radar. In this paper, we present the bistatic ISAR radar images of a car from multiple orientations and aspects. The radar data are gathered from simulations using computer-animated design models of the car along a turning trajectory. Electromagnetic modeling of the radar scattering combines a point scatterer model of the extended automotive target along with shadowing based on ray tracing. © 2023 IEEE.

关键词： Millimeter waves

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Comprehensive Analysis of Fruit Variety Classification: Techniques, Challenges, and Application

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Procedia Computer Science 2025年 258卷 223-232页

作者： Kedar Sawant Ajitha Shenoy K B Smitha Pai Rudresh D. Shirwaikar Manipal Institute of Technology Dept. of Information and Communication Technology Manipal Karnataka India Department of Information Technology Shree Rayeshwar Institute of Engineering and Information Technology Goa India

Fruit variety classification is a crucial aspect in agricultural processes and supply chain management, influencing market competitiveness, and consumer satisfaction. This paper provides a comprehensive review of various fruit variety classification techniques utilizing machine learning (ML) methodologies, highlighting the motivations driving research in this domain and the challenges that researchers and practitioner’s encounter. The capabilities of ML algorithms and deep learning (DL) models have facilitated significant advancements in fruit classification accuracy. Motivated by the growing demand globally for fruits and their varieties and the need to optimize resources utilized in agriculture, researchers have focused on developing ML-driven classification systems capable of automating fruit sorting, grading, maturity estimation, and quality control processes. DL particularly has ability to learn complex representations from images, among which the primary architecture is the convolutional neural network (CNN) for applications related to image classification. Based on the extensive literature survey conducted, its observed that utilization of CNN for fruit variety classification has immensely increased generating outstanding results using “from-scratch” or “pretrained” model for transfer learning, however it often struggles with limited datasets, leading to poor generalization, and difficulty in handling variations in fruit appearance due to lighting, orientation, or ripeness. Besides this, the paper presents frameworks, model design, and one practical application on the use of CNN for fruit variety classification.

关键词： Fruit Variety Classification Deep Learning Machine Learning CNN

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BIDS: Blockchain and Intrusion Detection System Coalition for Securing Internet of Medical Things Networks

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IEEE Journal of Biomedical and Health Informatics 2023年 PP卷 1-9页

作者： Gupta, Karan Gupta, Koyel Datta Kumar, Devender Srivastava, Gautam Sharma, Deepak Kumar Department of Information Technology Netaji Subhas University of Technology New Delhi India Department of Computer Science and Engineering Maharaja Surajmal Institute of Technology New Delhi India Dept. of Math and Computer Science Brandon University Canada Department of Information Technology Indira Gandhi Delhi Technical University for Women Delhi India

The benefits of the Internet of Medical Things (IoMT) in providing seamless healthcare to the world are at the forefront of technological advancement. However, security concerns of any IoMT systems are high since they threaten to compromise personal information of patients and can even cause health hazards. Researchers are exploring the use of various techniques to ensure a high level of security of IoMT systems. One key concern is that the computing power of any Internet of Things (IoT) device is relatively low, hence mechanisms that require low computational power are appropriate for designing Intrusion Detection Systems (IDS). In this research work, a blockchain IDS coalition is proposed for securing IoMT networks and devices. The blockchain ledger is compact and uses less processing resources. Additionally, the ledger requires less communication overhead. The cryptographic hashes in the suggested architecture ensure complete data secrecy and integrity between parties who are trusted and those who are untrustworthy. Peer-to-peer networks in both central and cluster networks are also included in this work for complete decentralization. The proposed model can counter various attacks, including Denial of Service (DoS), anonymity attacks, impersonation attacks, Man-In-The-Middle (MITM), and Cross-Site Scripting (XSS). The proposed method achieved an F1- score as high as 100% and reported an AUC value of over 99%. IEEE

关键词： Blockchain

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