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

共 6296 条记录，以下是81-90 订阅

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High sensitivity temperature and humidity sensing based on physically deformed long-period fiber grating 13

High sensitivity temperature and humidity sensing based on p...

引用

advanced sensor systems and applications xiII 2023

作者： Hu, Jiayue Jia, Aochi Li, Menghao Liu, Jihong Ren, Kaili School of Electronic Engineering Xi’an University of Posts & Telecommunications Xi’an710121 China State Key Laboratory of Transient Optics and Photonics Xi’an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi’an710119 China

ISBN: (纸本)9781510667914

In this paper, we proposed a highly sensitive temperature and humidity sensors based on two types of physically deformed long-period fiber gratings (LPFGs) which was fabricated by periodically twisting and micro-tapering single-mode fiber, also known as chiral long-period fiber grating (CLPG) and microtapered long-period fiber grating (MTLPFG), respectively. Meanwhile, the superior sensing characteristics of graphene-enhanced CLPG sensor for temperature and polyvinyl alcohol (PVA) coated MTLPFG sensor for humidity are successfully demonstrated. In the temperature experiment, due to the excellent thermal conductivity of graphene, the CLPG transmission spectrum has excellent responsiveness and linearity, and the measured temperature sensitivity is 115 pm/℃. Compared with the traditional fiber gratings, the temperature sensitivity has been significantly improved. Unfortunately, as a humidity measure, fiber grating is insensitive to humidity. Therefore, the MTLPG coated with PVA nanofilms is proposed to realize humidity sensing measurement. Due to the perfect combination of the special micro-nano structure and humidity sensitive film, this humidity sensor obtained excellent sensing sensitivity and linearity. Note that the humidity sensitivity of the PVA-coated MTLPFG has a humidity sensitivity of up to 13.27 pm/%RH. This physically deformed LPFGs are non-degradable, stable and higher sensitive, we believe that it will providing a key role in high-precision temperature and humidity sensing fields. © 2023 SPIE.

关键词： Graphene

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Design of an SHF RFID Reader Antenna for Access Control and Security systems

Design of an SHF RFID Reader Antenna for Access Control and ...

引用

International conference on advanced systems and Emergent Technologies (ICASET)

作者： Othmani, Hamza Beldi, Sabri Azizi, Med Karim Univ Tunis El Manar Tunis Microwave Elect Res Lab Dept Phys FST Tunis Tunisia

ISBN: (纸本)9798350384901;9798350384895

This paper presents the design of a Radio Frequency IDentification antenna (RFID Antenna) in Super-High-Frequency band (SHF Band) radiated at the resonant frequency of 2.45 GHz, simulated with CST Studio electromagnetic simulation software. The patch antenna is a perfect electrical conductor, excited by a coaxial cable with a 50 Ohms impedance. The antenna is designed as a rectangular patch with a U-shaped slot of 35.5x26 mm(2) placed on a Rogers RO4350B substrate, dimension 71x47 mm(2). The antenna has a perfect adaptation and covers a frequency band of 2393.0-2569.5 MHz with a bandwidth of 176.5 MHz. Therefore, this bandwidth is sufficient for industrial applications that use wireless sensor networks for monitoring parameters like: temperature, humidity, and pressure.

关键词： RFID Antenna SHF band CST Studio Rogers RO4350B Patch Coaxial cable

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Study on Maneuvering Target Trajectory Simulation and Tracking Based on IMM algorithm

Study on Maneuvering Target Trajectory Simulation and Tracki...

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2022 International Symposium on advanced Launch Technologies, ISALT 2022

作者： Ma, J.R. Ma, Q.H. Yang, S.J. Zheng, J.Q. Wang, S.W. Xi'An Modern Control Technology Research Institute Xi'an710065 China

On the background of air defense missile which use radar command guidance, this article focuses on the maneuvering target trajectory simulation and tracking problem by considering possible maneuvering modes and target overload. Taking Serpentine maneuvering (S maneuvering) as an example, the target trajectory is simulated based on overload using stepwise design method, and data are measured through sensor models. Since single model cannot model the maneuvering target motion exactly, the estimation is addressed by combining the interacting multiple model algorithm and unscented Kalman filter algorithm, so as to study the applications of maneuvering target trajectory simulation and tracking in air defense missile systems. The effectiveness of the algorithm is demonstrated with simulated data. © Published under licence by IOP Publishing Ltd.

关键词： Network security

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Characterisation of Magnetic sensors for Space applications - an NMI Perspective

Characterisation of Magnetic Sensors for Space Applications ...

引用

IEEE International Magnetics conference (INTERMAG)

作者： Harmon, Stuart Finch, Graeme Wilson, Adam Natl Phys Lab Teddington TW11 0LW Middx England

ISBN: (纸本)9798350362213;9798350362220

Accurate characterisation of magnetic sensors is required across a range of industrial applications. The National Physical Laboratory (NPL), as the UK's National Metrology Institute (NMI), maintains and disseminates measurement standards, with traceability to SI units, that provides characterisation of advanced magnetic sensors from nT-level to several T. Space missions can benefit from the increasing sensitivity and accuracy of magnetic sensors. To calibrate such sensors, a low magnetic noise environment and traceable measurement systems must be established. Both spacecraft design and in-flight operation must rigorously incorporate magnetic cleanliness and compensate for field fluctuations. To reduce measurement uncertainties and dependent sensor error budgets, a greater understanding of the magnetic environment becomes crucial. This presentation will describe the development of traceable measurements systems at NPL that enable the characterisation of these sensors at the nT level for space applications. These systems allow key parameters, such as gain, linearity, offset and noise to be determined, with specific attention given to the measurement of the temperature dependance of these key parameters, and recent developments for the orthogonality of small magnetometers in a fast and cost-efficient way.

关键词： Calibration Magnetic field measurement Magnetic sensors Space technology

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Application of Image Security Transmission Encryption Algorithm Based on Chaos Algorithm in Networking systems of Artificial Intelligence 5

Application of Image Security Transmission Encryption Algori...

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5th Asia-Pacific conference on Image Processing, Electronics and Computers, IPEC 2024

作者： Tian, Hongmei Yuan, Zhijie Zhou, Jiao He, Rui Xi’an University of Technology Xi'an710054 China China Coal Technology & Engineering Group Xian Research Institute Xi'an710076 China

ISBN: (纸本)9781643685243

This study focuses on enhancing the security of image transmission in Networking systems of Artificial Intelligence (NSAI) by implementing an advanced encryption algorithm (AEA) based on chaotic algorithms. The research begins by exploring the fundamental concepts, structures, and practical applications of NSAI. It then introduces the development of the AEA, specifically designed to safeguard image data during transmission. The methodology involves integrating a chaotic algorithm into the encryption and decryption processes, thereby improving the confidentiality and integrity of the images. Additionally, an encryption protocol consistent with NSAI specifications is developed to further enhance the security of transmitted images. Through simulations, the AEA demonstrates exceptional performance, with minimal errors, high accuracy, and outstanding efficiency in encryption tasks. Overall, this study concludes that the AEA represents a significant advancement in securing image transmission within NSAI, providing robust protection for future applications. © 2024 The Authors.

关键词： Artificial intelligence

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applications AND PROSPECTS OF sensor TECHNOLOGY IN RESCUE ROBOT DESIGN 2

APPLICATIONS AND PROSPECTS OF SENSOR TECHNOLOGY IN RESCUE RO...

引用

2nd International conference on Mechatronic Automation and Electrical Engineering, ICMAEE 2024

作者： Zhang, Ruijie Ulster College Shaanxi University of Science & Technology Xi'an710021 China

ISBN: (纸本)9781837242672

In the design of rescue robots, sensor technology has become an indispensable key part. It gives rescue robots the ability to navigate complex environments, detect danger, and efficiently locate and assist stranded people. This paper discusses the application of sensor technology in rescue robot design, analyses the use and working principle of different types of sensors, and their important influence on improving rescue efficiency and safety. At the same time, this paper also looks forward to the future development trend and prospect of sensor technology in rescue robot design and reveals how technological innovation can further promote the intelligence and efficiency of rescue work. Therefore, with the progress of sensor technology, the autonomous navigation and obstacle avoidance ability of rescue robots can be significantly improved. With high-precision environmental sensing sensors and advanced algorithms, robots can autonomously plan paths in complex environments, identify obstacles, and flexibly avoid them. This capability will greatly improve rescue efficiency, reduce the need for human intervention, and reduce risk to rescuers. However, with the continuous progress of technology and the joint efforts of all sectors of society, these problems will be gradually solved, and the application prospects of rescue robots will be broader. © The Institution of Engineering & Technology 2024.

关键词： Machine design

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Using context to adapt to sensor drift

Using context to adapt to sensor drift

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IEEE International conference on Development and Learning (ICDL)

作者： Warner, Jamieson Devaraj, Ashwin Miikkulainen, Risto Univ Texas Austin Dept Neurosci Austin TX 78712 USA Univ Texas Austin Dept Comp Sci Austin TX 78712 USA

ISBN: (纸本)9798350348569;9798350348552

Lifelong development allows animals and machines to adapt to changes in the environment as well as in their own systems, such as wear and tear in sensors and actuators. An important use case of such adaptation is industrial odor-sensing. Metal-oxide-based sensors can be used to detect gaseous compounds in the air;however, the gases interact with the sensors, causing their responses to change over time in a process called sensor drift. sensor drift is irreversible and requires frequent recalibration with additional data. This paper demonstrates that an adaptive system that represents the drift as context for the skill of odor sensing achieves the same goal automatically. After it is trained on the history of changes, a neural network predicts future contexts, allowing the context+skill sensing system to adapt to sensor drift. Evaluated on an industrial dataset of gas-sensor drift, the approach performed better than standard drift-naive and ensembling methods. In this way, the context+skill system emulates the natural ability of animal olfaction systems to adapt to a changing world, and demonstrates how it can be effective in real-world applications.

关键词： classification olfaction drift adaptation LSTM

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Application of Wireless sensor Technology in Urban Energy Management 24

Application of Wireless Sensor Technology in Urban Energy Ma...

引用

8th International conference on Electronic Information Technology and Computer Engineering, EITCE 2024

作者： Zhang, Yajuan Chen, Jie Gong, Zhijia College of Information Engineering Hainan Vocational University of Science and Technology Hainan Haikou China

ISBN: (纸本)9798400710094

The rapid growth of urbanization has led to an increasing need for efficient energy management systems to optimize energy consumption and reduce environmental impacts. Wireless sensor technology emerges as a pivotal solution, providing advanced capabilities in real-time monitoring, control, and management of urban energy systems. This paper explores the practical applications of wireless sensor networks (WSN) in urban energy management, highlighting their role in smart grids, intelligent building systems, smart street lighting, public transportation, water management, and renewable energy integration. Additionally, it addresses the prominent challenges such as data security, sensor durability, network scalability, data management, energy consumption, and infrastructure integration. [1-2] The paper further discusses optimization pathways to enhance the effectiveness and sustainability of WSNs in urban energy management. By overcoming these challenges and leveraging the potential of wireless sensor technology, cities can achieve significant energy savings, operational efficiencies, and contribute to broader environmental sustainability goals. © 2024 Copyright held by the owner/author(s).

关键词： Green buildings

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UAV Flight Phase Recognition and Decision Control Based on Attitude Angle Information

UAV Flight Phase Recognition and Decision Control Based on A...

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2024 International conference on advanced Control systems and Automation Technologies, ACSAT 2024

作者： xing, Peiyu xi, Zhanwen Nanjing University of Science and Technology School of Mechanical Engineering Nanjing China

ISBN: (纸本)9798331541668

To address the current issues of insufficient reliability analysis of environmental information and the lack of flight phase identification and decision-making control in unmanned aerial vehicles(UAVs), this study investigates the use of onboard systems to distinguish different flight phases based on attitude angle information. By analyzing the available environmental information of a selected UAV, a method for environmental information perception based on multi-sensor fusion is designed. A specific execution strategy is developed, which involves closing the onboard electronic switch when the variation of the attitude angle (pitch angle) within a time window is smaller than a set threshold. This is implemented in cooperation with the judgment circuit and execution circuit. The feasibility of the strategy is validated through UAV flight experiments and circuit functionality tests. Experimental results indicate that the UAV onboard system can identify different flight phases based on pitch angle data and drive actuator actions to close the electronic switch as required. © 2024 IEEE.

关键词： Antennas

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Benchmarking of Machine Learning Algorithms for Temperature sensor Fault Time Series Classification 15

Benchmarking of Machine Learning Algorithms for Temperature ...

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15th International conference on Information, Intelligence, systems and applications, IISA 2024

作者： Prantikos, Konstantinos Pantopoulou, Maria Pantopoulou, Stella Hefeitz, Alexander Tsoukalas, Lefteri H. School of Nuclear Engineering Purdue University West LafayetteIN United States Nuclear Science and Engineering Division Argonne National Laboratory ArgonneIL United States

ISBN: (纸本)9798350368833

Reliable sensors functioning is important for safe and efficient operation of a nuclear system. Accurate detection and classification of sensor anomalies are crucial for efficient maintenance and prevention of reactor shutdowns. In this proof-of-principle study, we benchmark performance of several machine learning (ML) algorithms in temperature sensor fault detection. The database consists of four time series, with one representing normal sensor operation and the remaining three consisting of various sensor faults. The ML models in this study include Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Decision Tree (DT), and Extreme Gradient Boosting (XGBoost). Performance of the ML models is evaluated using Precision, Recall and F1-score metrics. The results of the benchmarking study show that XGBoost achieves the best performance. © 2024 IEEE.

关键词： Reactor shutdowns

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