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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"

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Distributed sapphire fiber sensors for steel-making industrial applications 3

Distributed sapphire fiber sensors for steel-making industri...

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conference on Optical Waveguide and Laser sensors III

作者： Mumtaz, Farhan Tekle, Hanok Zhang, Bohong Smith, Jeffrey D. O'Malley, Ronald J. Gerald, Rex. E., II Huang, Jie Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Mat Sci & Engn Rolla MO USA

ISBN: (纸本)9781510674073;9781510674066

This research demonstrates femtosecond (FS) laser-written distributed fiber Bragg gratings (FBGs) sensors within sapphire crystalline fiber, tailored for steelmaking applications. The study precisely assesses sensor stability during a 72-hour exposure to severe conditions, including temperatures reaching 1600 degrees C. The FBGs exhibit excellent signal strength and a maintained high signal-to-noise ratio (SNR) by averting external surface reactions with the sapphire fiber. Extensive annealing at 1600 degrees C purifies the sheathing material. By utilizing an extended 1-meter sapphire fiber, this work surmounts the challenges of cascading FBGs in highly multimode waveguides, enabling FBG signal capture in demanding applications. This research enhances our comprehension of FBG performance in high-temperature environments and paves the way for robust optical fiber systems in steelmaking applications, including tundish probes and submerge entry nozzles (SEN) for molten metal casting. Additionally, the exceptional efficiency and precision of sapphire FBG sensors, in contrast to conventional thermocouples, offer the potential to boost productivity, lower energy consumption, and reduce the carbon footprint in the steel industry.

关键词： Sapphire FBGs sensor distributed thermal mapping harsh environment femtosecond laser fiber Bragg gratings steelmaking industry applications tundish probe submerge entry nozzle

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Exploring the Nexus between sensor Reliability and System Performance: A Comprehensive Analysis 16

Exploring the Nexus between Sensor Reliability and System Pe...

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16th Annual conference of the Prognostics and Health Management Society, PHM 2024

作者： Tripathy, Deepak Gottumukkala, Rahul Kim, Derek PHM Technology North FitzroyVIC3068 Australia

ISBN: (纸本)9781936263059

In contemporary technological landscapes, sensors play a pivotal role in enabling diverse applications across industries, from healthcare to manufacturing. This paper undertakes a thorough investigation on system performance (reliability and availability of a system), focusing on the critical interplay between baseline performance, performance with integrated sensors and performance considering sensor reliability, recognizing the foundational importance of sensors in data-driven decision-making processes. The research employs a causation-based approach to systematically develop functional relations within the system. The failures identified of each component and functional relationships will then be analyzed using a simulation technique to understand the inherent performance of the engineering system. From here, a genetic algorithm is used to design a sensor set and tailor it for an engineering system, providing a foundation for conducting trade studies in the paper's subsequent sections. Through rigorous quantitative analysis and simulations, we compare the impacts of the performance of the sensor set design compared to the baseline performance. The paper then investigates the complexities of sensor reliability on overall system performance. Through advanced simulations, we elucidate the potential cascading effects that variations in sensor reliability can have on the system's performance. By exploring these ripple effects, we aim to provide a comprehensive understanding of how sensor reliability plays a crucial role in determining the success of complex systems. Beyond the immediate considerations of sensor characteristics, the paper analyses the maintenance aspects of sensors by performing a series of analyses to suggest maintenance aimed at improving the sensor and hence system reliability. Highlighting the relationship between sensor reliability and system performance, this section stresses the critical role of consistent maintenance practices in ensuring susta

关键词： Decision making

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DBCS-SMJF: Designing a BLDCM Control System for Small Machine Joints Using FOC 19th

DBCS-SMJF: Designing a BLDCM Control System for Small Machin...

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19th International conference on advanced Intelligent Computing Technology and applications (ICIC)

作者： Zhang, Leyi Long, Yingjie Hu, Yingbiao Li, Huinian Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China South China Normal Univ Sch Comp Sci Guangzhou 510631 Peoples R China Macao Polytech Univ Fac Appl Sci Macau 999078 Peoples R China Macao Univ Sci & Technol Sch Comp Sci & Engn Macau 999078 Peoples R China

ISBN: (纸本)9789819947607;9789819947614

This paper proposes a new motor field-oriented control scheme for robot joint control that utilizes linear Hall position sensors. The proposed position sensor can obtain rotor position information of the motor with high precision and low cost, overcoming the limitations of traditional motor control systems that use expensive and bulky encoders. The proposed plan includes a Hall sensor module, an electromagnetic detection module, a motor drive module, and a motor. It has been tested and verified using Ansys magnetic field simulation. The proposed system can improve the accuracy and stability of robot joint control while reducing costs compared to traditional motor Field-Oriented Control (FOC) systems. Using linear Hall position sensors can make the system more compact and lightweight. Future work may focus on further optimizing and refining the design for real-world applications.

关键词： SVPWM FOC Linear Hall sensor Motor PI Controller MCU

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MEMS sensor Based V2V Communication Using Li-Fi Technology 9

MEMS Sensor Based V2V Communication Using Li-Fi Technology

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9th International conference on advanced Computing and Communication systems, ICACCS 2023

作者： Thandapani, Kavitha Nagarajan, P. Pappa, C. Kanmani Ashokkumar, N. VelTech Rangarajan Dr.Sagunthala Rand D Institute of Science and Technology Department of ECE Tamilnadu India SRMIST Department of ECE Vadapalni Campus Tamililnadu Chennai India Mohan Babu University Department of ECE AndraPradesh Tirupati India

ISBN: (纸本)9798350397376

Due to its extensive use in intelligent transportation systems, the topic of traffic accident detection is quickly becoming one of the most fascinating ones. The absence of inexperienced drivers, driving while intoxicated, driving too fast, and driving while sleepy are the main contributors to these traffic accidents. Numerous measures have been used to stop these traffic accidents. However, the majority of them failed to stop this. We demonstrate an upgraded Li-Fi accident detection method in this study. The proposed model offers an intelligent system for the identification and avoid of accidents for the protection of human life. sensors like mems sensors and ultrasonic sensors are used in that preventative component. When a sensor determines there is not enough space between two vehicles, it notifies the vehicle in front of it. © 2023 IEEE.

关键词： Ultrasonic applications

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A Finite-Time Complementary Filter for Attitude Estimation Using Inertial sensors

A Finite-Time Complementary Filter for Attitude Estimation U...

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2024 IEEE International conference on Unmanned systems, ICUS 2024

作者： Wang, Linan Wen, Guanghui Yi, Xiaojian Wang, Xinhe Liu, Geng Department of Systems Science Southeast University Nanjing China School of Mechatronical Engineering Beijing Institute of Technology Beijing China School of Cyber Science and Engineering Southeast University Nanjing China China State Shipbuilding Corporation Systems Engineering Research Institute Beijing China

ISBN: (纸本)9798350384185

This paper presents a novel finite-time complementary filter specifically designed for attitude and gyroscope bias estimation. The key contributions of this filter include ensuring rapid convergence to the actual attitude within a finite time, significantly improving performance over traditional filters that only guarantee asymptotic stability. The filter achieves high accuracy by effectively integrating data from multiple sensors, such as gyroscopes, accelerometers, and magnetometers, through advanced sensor fusion algorithms and noise suppression techniques. Additionally, simulation tests confirm the filter's robust resistance to noise, highlighting its potential to enhance the performance of attitude estimation systems across various applications by providing faster, more accurate, and reliable estimates. © 2024 IEEE.

关键词： Gyroscopes

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Enhanced Intrusion Detection in Wireless sensor Networks: A Voting and Particle Swarm Optimization Approach 21

Enhanced Intrusion Detection in Wireless Sensor Networks: A ...

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

作者： Jaradat, Ameera Alhatamleh, Salem Nasayreh, Ahmad Gharaibeh, Hasan Yarmouk University Dept. of Computer Sciences Irbid Jordan

ISBN: (纸本)9798350378078

Wireless sensor networks (WSNs) are of great importance in advanced technologies in the modern developing world as they are widely used in many applications. Although encryption and authentication protocols in WSNs are widely adopted, there are continuous expectations of new sophisticated attack strategies that are spreading, which pose high risks and threats. This work addresses these challenges using Intrusion Detection systems (IDS) that will be supported by machine learning algorithms. Specifically, it explores the WSN-DS dataset that includes network activities and attack types. In addition, it initializes the importance of feature selection and proposes data balancing methods such as Synthetic Minority Over-sampling Technique SMOTE, it is a statistical method for correcting class imbalance in datasets by creating synthetic samples for the minority class to enhance the detection rate. To increase the performance of the machine learning model, we use a voting classifier consisting of Random Forest (RF), K-Nearest Neighbors (KNN) and Extreme Gradient Boosting (XGBoost) and optimize them using Particle Swarm Optimization (PSO) by selecting the best hyperparameters. This ensemble method aims to maximize the performance of the used ensemble models. The proposed model is demonstrated by improving the PSO voting classifier model which gives a remarkable accuracy of 99.99% making it a highly effective approach in predicting and filtering different types of attacks in wireless sensor networks. This work will help in promoting further research in protecting wireless sensor networks from invasive intrusions in various applications to ensure security in communication networks. © 2024 IEEE.

关键词： Network intrusion

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Malware Detection By Distributed systems with Partial Centralization 12

Malware Detection By Distributed Systems with Partial Centra...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Savenko, Bohdan Kashtalian, Antonina Lysenko, Sergii Savenko, Oleg Khmelnytskyi National University Khmelnytskyi29016 Ukraine

ISBN: (纸本)9798350358056

The paper proposes approach to use new tools for malware detection in corporate networks, which are distributed systems with partial centralization. To make decision about malware presence, the components which includes specified decision-making for the system's center are defined as a decentralized subsystem. To determine the states of the system components, characteristic indicators are proposed, and generalized analytical expressions for their calculation are developed. Such calculations make it possible to assess the state of the components in the system in order to determine its further steps. As a result, the system is the basis for usage of different malware detection methods in combination with the system components as an integral sensor. To test the system, a worm-virus detection method was implemented and experiments were conducted. The results of experimental studies approved the efficiency of the proposed solution. © 2023 IEEE.

关键词： distributed systems malware malware detection network security partial centralization worm-virus

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A Compact and Robust 28nm CMOS Temperature sensor with Machine Learning Assisted Design for DVFS SoC

A Compact and Robust 28nm CMOS Temperature Sensor with Machi...

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2023 IEEE International conference on Integrated Circuits, Technologies and applications, ICTA 2023

作者： Ding, Yizhi Zhi, Haochang Li, Jintao Chen, Zhuo Yang, Kaiyue Shan, Weiwei Southeast University Nanjing China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China

ISBN: (纸本)9798350344288

This work presents a compact and robust CMOS temperature sensor with machine learning (ML) assisted design maximizing these performance trade-offs for dynamic voltage and frequency scaling (DVFS) systems-on-chips (SoC). The gain-bandwidth is enhanced using closed-loop current generation and indirect Miller compensation so that the sensor can be powered by a noisy digital supply. The sensor is fabricated in 28nm CMOS process and occupies 0.0075 mm2 consuming 18.15 μ W at room temperature from a 0.9 V supply. Systematical nonlinearity results in an inaccuracy of 3.1% from 0 °C to 100°C after two-point trim. The sensor achieves a 0.25 K resolution in a 2.44 ms conversion time. The measured supply sensitivity is 7.4 °C/V from 0.8 V to 1.05 V. © 2023 IEEE.

关键词： Machine learning

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Decoupled Unknown-Input Observer for Takagi-Sugeno systems: Application to Three Phase Interleaved Boost Converter 1

Decoupled Unknown-Input Observer for Takagi-Sugeno Systems: ...

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1st International conference on Engineering and advanced Technology, ICEEAT 2023

作者： Hamdi, Wail Hammoudi, Mohamed Yacine Okba, Salah Saadi, Ramzi Mohamed Khider University of Biskra Mse Laboratory Biskra Algeria

ISBN: (纸本)9798350383485

This paper presents the application of a Takagi-Sugeno based Decoupled Unknown-Input Observer for Three-Phase Interleaved Boost Converters for fuel cell applications. Harnessing the potential of a single sensor, the proposed methodology efficiently estimates all the remaining system states and the unknown input. This unique implementation of the Decoupled Unknown-Input Observer in the Interleaved Boost Converters ensures precise state estimation while effectively addressing system nonlinearities. Moreover, an observer based controller is implemented to regulate the DC-bus voltage converter, and its performance is confirmed through simulation test. The proposed work promises to enhance the reliability and cost-effectiveness of power conversion systems. © 2023 IEEE.

关键词： Cost effectiveness

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Evaluation of the potential of high index Chalcogenide lenses for automotive application 7

Evaluation of the potential of high index Chalcogenide lense...

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conference on advanced Optics for Imaging applications - UV through LWIR vii

作者： Druart, Guillaume Reux, Valentin Calvez, Laurent Zhang, Xiang-Hua De La Barriere, Florence Volatier, Jean-Baptiste Tartas, Elodie Proux, Raphael Off Natl Etud & Rech Aerosp Chemin Huniere F-91761 Palaiseau France Univ Rennes CNRS ISCR Inst Sci Chim Rennes UMR 6226 F-3500 Rennes France LYNRED Route Valence F-38113 Veurey Voroise France UMICORE ZA Boulais F-35690 Acigne France

ISBN: (纸本)9781510650831;9781510650824

Infrared cameras could serve automotive applications by delivering breakthrough perception systems for both in-cabin passengers monitoring and car surrounding. However, low-cost and high-throughput manufacturing methods are essential to sustain the growth in thermal imaging markets for automotive applications, and for other close-to-consumer applications, which have a fast growth potential. With the reduction of the pixel pitch of microbolometer detectors, their cost has decreased considerably and now the optical part represents a significant part of the system cost. Fast low cost infrared lenses suitable for microbolometers are already sold by companies like Umicore, Lightpath, FLIR. Chalcogenide glasses are widely used as materials for optics because they have many cost advantages, especially due to the possibility of mass molding the optics. However, with the reduction of the pixel pitch, it is more and more difficult to design high performance lenses with a limited number of optics. The possibility of molding the optics allows us to use many highly aspherical surfaces at affordable costs. However, Chalcogenide glasses have usually a lower refractive index than other more expensive infrared materials such as Germanium. Indeed, high refractive index materials are known to be effective in attenuating the amplitude of many geometric aberrations. In this presentation, we evaluate the interest of high index Chalcogenide lenses, especially TGG and TGS, to design optical systems meeting the needs of the automobile with a limited number of optics. TGG glass has an index of refraction of 3.396 at a wavelength of 10 mu m, i.e. its index of refraction is close to the Silicon one and was initially studied for space applications. TGS has a lower index of refraction (3.12@10 mu m) but can be used in a cost effective manufacturing process by using flash spark plasma sintering (SPS) on raw powder. Demonstrators with TGG glass have been made and their performance evaluated.

关键词： Infrared Microbolometers Chalcogenide Automotive Application Curved sensor

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