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

共 16616 条记录，以下是361-370 订阅

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Investigation of Highly Sensitive and Linearly Responsive SAW Based Gas sensor for Better N2 Detection 4th

Investigation of Highly Sensitive and Linearly Responsive SA...

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4th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2023

作者： Harathi, Nimmala Pasuluri, Binduswetha Sarkar, Argha Maurya, Naveen Kumar Department of Electronics and Instrumentation Engineering Sree Vidyanikethan Engineering College Andhra Pradesh Tirupati517102 India Department of Electronics and Communication Engineering Vardhaman College of Engineering Telengana Shamshabad501218 India School of Computer Science and Engineering REVA University Karnataka Bangalore560064 India Department of Electronics and Communication Engineering Vishnu Institute of Technology Andhra Pradesh Bhimavaram534202 India

ISBN: (纸本)9783031488900

Surface acoustic wave sensors are becoming more and more essential in research. The research has advanced in such a way that SAW sensors are now used in many different fields. The application areas of SAW sensor include gas sensing, biosensor, measurement of many physical parameters like humidity, pressure, temperature and torque. In this study, the SAW sensor is presented as a nitrogen gas sensor. Nanomaterials are introduced to a conventional SAW sensor to strengthen the sensor's performance. The most frequently used nano - materials for applications in gas detection is ZnO. Comsol Multiphysics is used to design a 2D SAW-based gas sensor using ZnO as the sensing material. Finite element analysis (FEA) is used in sensor characterization. Testing is done to determine whether nitrogen gas is present or not in the sensor. The sensor's sensitivity varies depending on whether there is gas present or not while operating at the same frequency. The sensor's frequency range is 3 MHz. Nitrogen gas is present in concentrations varying from 10 ppm to hundreds of ppm. With a rise in concentration, the sensor showed excellent linearity. © 2024, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Zinc oxide

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Approach to Acoustic Drone Detection System Development 12

Approach to Acoustic Drone Detection System Development

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

作者： Kochan, Roman Hots, Nataliya Fabirovskyy, Sergiy Storozh, Volodymyr Kosterov, Alexander Ozirkovskyy, Leonid Helesh, Anna Arkadii, Shulhai Kochan, Volodymyr Strykhalyuk, Bohdan Mykyichuk, Mykola Demydov, Ivan University of Bielsko-Biala Bielsko-Biala42-300 Poland Lviv Polytechnic National University Lviv79013 Ukraine State Scientific Research Institute for Metrology of Measuring and Control Systems Sistema Lviv79000 Ukraine I. Horbachevsky Ternopil State Medical University Ternopil46001 Ukraine West Ukrainian National University Ternopil46003 Ukraine

ISBN: (纸本)9798350358056

An analysis of drone detection methods was carried out in this paper. There is a reasoned choice of the optimal method for implementation based on the analysis of acoustic signals generated by drones. The set of methods of acoustic signal analysis is presented. These methods provide the measurement of drone coordinates and complement each other depending on the flight conditions. The structure of a distributed sensor network oriented on the online detection of drones and their tracking has been synthesized. The developed system provides the appropriate complexity as well as large flexibility and scalability. © 2023 IEEE.

关键词： Acoustic signal Distributive sensor network Drone detection

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Analysis and design of pervasive computing intelligent surveillance system integrating optical sensors and behavioral analysis for industrial internet 2

Analysis and design of pervasive computing intelligent surve...

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2nd International conference on Big Data, Computational Intelligence, and applications, BDCIA 2024

作者： Yao, Di Luo, Chenyao Cheng, Weiwei Song, Huaju Beijing100083 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China School of Environmental Science NanJing XiaoZhuang University Nanjing210017 China

ISBN: (纸本)9781510689053

Nowadays, the surveillance system performing as an indispensable part for modern industrial Internet has attracted much attention. With the continuous progress of microprocessor technology, sensor technology, particularly optical sensors, and network technology, it has entered the era of pervasive computing, which leads to the breakthrough of the surveillance system and the emergence of intelligent environment safety monitoring systems. However, the intelligence of surveillance systems is still a significant challenge. In this paper, we propose a surveillance system for detecting and recognizing people based on their behaviors from images or video sequences using computer vision techniques and optical sensor data, which is implemented by designing the system architecture through a hierarchical structure, applying key techniques such as background subtraction, modeling, and optical sensing analysis, and experimentally processing and testing a variety of behavioral samples. The alarm information generated by the proposed surveillance system aided by pervasive computing system can be delivered to remote terminals. Experimental results reveal that the environmental monitoring and alarm information can be processed in real time with devices, such as cell phones, telephones, and PCs. Therefore, the proposed approach can improve the performance of the surveillance systems. © 2025 SPIE.

关键词： Alarm systems

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International conference on advanced Robotics and Intelligent systems, ARIS

International Conference on Advanced Robotics and Intelligen...

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2023 International conference on advanced Robotics and Intelligent systems, ARIS 2023

ISBN: (纸本)9798350302714

The proceedings contain 31 papers. The topics discussed include: a hands-on approach to humanoid robots education;piles of objects detection for grasping system using modified RGB-D MobileNetV3;the fusion and verification of 2D human skeleton and 3D point cloud based on RealSense;sensor fusion estimation for omni-directional vehicle with Mecanum wheel;thin film spectral measurement system developed based on micro spectrometer;deep learning based visual simultaneous localization and mapping for a mobile robot;ROI-YOLOv8-based far-distance face-recognition;EnveRob: integration of an intelligent robotic arm system for mail delivery applications;efficient lane detection based on feature aggregation for advanced driver assistance systems;and lightweight perching mechanisms for flapping-wing drones.

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H∞ fusion estimation for sensor network systems under DoS attacks

H∞ fusion estimation for sensor network systems under DoS a...

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2024 International conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2024

作者： Wang, Chun xie, Zuozhang Chen, xixing xue, Lisha Zhou, Ting xie, Li Institute of Digital Technology and Instrumentation Zhejiang University Hangzhou310027 China Zhejiang Institute of Public Safety Technology 88 Lianhui Rd. Hangzhou310051 China School of Economics Zhejiang University Hangzhou310058 China

ISBN: (纸本)9781510689176

sensor network systems are essential for numerous technological applications. However, the vulnerability to cyber threats can severely affect both performance and security of the systems. The problem of H∞ fusion estimation is explored for sensor network systems under the influence of Denial-of-Service (DoS) attacks. To address this problem, a Luenberger-type local state estimator is specifically designed to compensates for sensor data affected by DoS attacks using the estimated data. These estimations are subsequently forwarded to a fusion center for comprehensive analysis and processing, with the aim of improving the reliability and precision of the sensor networks systems. By use of Lyapunov stability analysis, the sufficient conditions are established to ensure the boundedness of fused estimation errors and H∞ performance. The required gains for the local estimator and fusion weight matrices are determined by solving a series of linear matrix inequalities, which guarantees the stability and convergence of the fusion estimation systems. Finally, the effectiveness of the proposed fusion scheme are authenticated via simulation experiments. © 2025 SPIE.

关键词： Denial-of-service attack

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Pothole Detection and Alert System sing YOLO Models: A Real-Time Driver Assistance Approach 2

Pothole Detection and Alert System sing YOLO Models: A Real-...

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2nd International conference on Intelligent Cyber Physical systems and Internet of Things (ICoICI)

作者： Raj, P. L. Pratheesh Santhiya, M. Kirubakaran, S. Stewart Leelipushpam, Getzi Jeba Ebenezer, V Edwin, E. Bijolin Karunya Inst Technol & Sci Div CSE Coimbatore Tamil Nadu India Karunya Inst Technol & Sci Div DS&CS Coimbatore Tamil Nadu India

ISBN: (纸本)9798331540661;9798331540678

This study presents a novel method that uses advanced deep learning models, such as YOLOv8n-seg, YOLOv8x- seg, YOLOv9, and YOLOv10, for pothole recognition and distance calculation. The proposed technology locates potholes on the road (left, center, or right), measures their distances from the car, and classifies them. The proposed system then enhances road safety by alerting drivers in real-time using text-to-speech (TTS) technology. The proposed strategy improves the detection robustness and accuracy by integrating numerous models, unlike earlier approaches. The research findings show notable gains in detecting accuracy and speed, qualifying it for real-time applications. The findings of this study can greatly lower potholerelated traffic accidents and aid in the development of advanced driver assistance systems (ADAS).

关键词： Pothole Detection You Only Look Once Distance Estimation Real-time Alert advanced Driver Assistance systems

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Directional bending sensing characteristics of in-line Mach-Zehnder interferometer based on asymmetrical twin-core fiber 12

Directional bending sensing characteristics of in-line Mach-...

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conference on advanced sensor systems and applications xII

作者： Yang, Huiping Yan, Binbin Luo, Yanhua Yang, Liwei Wang, Kuiru Yuan, Jinhui Sang, xinzhu Peng, Gang-ding Beijing Univ Posts & Telecommun State Key Lab Informat Photon & Opt Commun Beijing 100876 Peoples R China Shanghai Univ Shanghai Inst Adv Commun & Data Sci Key Lab Specialty Fiber Opt & Opt Access Networks Joint Int Res Lab Specialty Fiber Opt & Adv Commu Shanghai 200444 Peoples R China Univ New South Wales Sch Elect Engn Photon & Opt Commun Sydney NSW 2052 Australia China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China

ISBN: (纸本)9781510657090;9781510657083

We propose and experimentally demonstrate a simple directional bending sensor based on an in-line Mach-Zehnder interference structure of the single mode fiber (SMF)-multimode fiber (MMF)-asymmetrical twin-core fiber (ATCF)-MMF-SMF. Due to the asymmetric structure in twin-core fiber, this sensor can discriminate different bending directions. The interference spectrum shifts with the change of curvature. Furthermore, the sensor exhibits a linear response with a maximum bending sensitivity of 33.48 and -38.72 nm/m(-1) in the curvature range from 0 to 3.01 m(-1) for bending directions at -x (180 degrees) and +x (0 degrees) directions, respectively. The proposed fiber sensor has great potential in the future Internet of Things (IoT) due to its advantages, such as low cost, compactness, and high bending sensitivity.

关键词： Asymmetric twin-core fiber Optical fiber sensor Mach-Zehnder interferometer Directional bending sensing

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AlloyStack: A Library Operating System for Serverless Workflow applications 25

AlloyStack: A Library Operating System for Serverless Workfl...

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20th European conference on Computer systems-EuroSys

作者： You, Jianing Chen, Kang Zhao, Laiping Li, Yiming Chen, Yichi Du, Yuxuan Wang, Yanjie Wen, Luhang Hu, Keyang Li, Keqiu Tianjin Univ Coll Intelligence & Comp Tianjin Key Lab Adv Networking Tianjin Peoples R China Tsinghua Univ Beijing Peoples R China

ISBN: (纸本)9798400711961

Serverless workflow applications, composed of multiple serverless functions, are increasingly popular in production. However, inter-function communication and cold start latency remain key performance bottlenecks. This paper introduces AlloyStack, a library operating system (LibOS) tailored for serverless workflows. AlloyStack addresses two major challenges: (1) reducing cold start latency through on-demand OS component loading and (2) minimizing data transfer overhead by enabling functions within the same workflow to share a single address space, eliminating unnecessary data copying. To ensure secure isolation, AlloyStack uses Memory Protection Keys (MPK) to separate user functions from the LibOS while maintaining efficient data sharing. Our evaluation shows that AlloyStack reduces cold start times by 98.5% to just 1.3ms. Compared to SOTA systems, AlloyStack achieves a 7.3x to 38.7x speedup in Rust end-to-end latency and a 4.8x to 78.3x speedup in other languages for intermediate data-intensive workflows.

关键词： Serverless Computing Cold Start Data Transfer

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Synthesis and analysis of Au:Pd nanoparticles by substrate removable technique for enhanced catalytic applications on ZnO gas sensor 19

Synthesis and analysis of Au:Pd nanoparticles by substrate r...

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19th Siam Physics Congress

作者： Chansuriya, S. Hongsith, N. Univ Phayao Sch Sci Dept Phys Phayao 56000 Thailand Univ Phayao Unit Excellent Adv Mat Sensors Phayao 56000 Thailand

This study presents a methodology for synthesizing and analyzing Au:Pd nanoparticles, using the substrate removable technique, with a focus on their potential for catalytic gas sensing applications. The process begins with the deposition of NaCl onto a glass substrate via the evaporation technique. Subsequently, Au: Pd are sputtered onto the NaCl-coated substrate, with adjustments made to sputtering parameters such as time and current to finely tune composition and thickness. x-ray diffraction (xRD) is used to analyze the crystal structure of the resulting films. The optical properties of the synthesized nanoparticles are examined by analyzing the absorption spectra across a range of wavelengths from 200 to 900 nm. The Au:Pd nanoparticles are subsequently extracted from the substrate through dissolution using deionization of water. In addition, Dynamic Light Scattering (DLS) techniques are used to evaluate the distribution of particle sizes and the stability of colloidal systems. Analyzing the zeta potential of the nanoparticle solutions yields key insights into their surface charge. Demonstrating the catalytic potential of the Au:Pd nanoparticles, they are applied to a ZnO gas sensor, effectively detecting gas vapor. Remarkably, the sensor's sensitivity is enhanced and reveals efficacy across various gas concentrations. This novel approach holds great potential for the advancement of catalytic applications.

关键词： Chemical sensors

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International Workshop on advanced in Information Security Management and applications, AISMA 2024

International Workshop on Advanced in Information Security M...

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International Workshop on advanced in Information Security Management and applications, AISMA 2024

ISBN: (纸本)9783031721700

The proceedings contain 35 papers. The special focus in this conference is on advanced in Information Security Management and applications. The topics include: Analysing Information Security Risks When Remotely Connecting to the Web Interface;a Safe and Secure Online System for Bidding Using Blockchain Technology;theoretical Framework for Blockchain Secured Predictive Maintenance Learning Model Using Digital Twin;advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless sensor Networks;Guaranteed Output Delivery with More than 1/3 of Malicious Corruption for Client Server MPC Protocols and applications;methods of Safe Processing of User-Entered Information in Information systems;comparative Analysis of Methods for Assessing Confidence in the Information Security Audit Process;using User Profiles for Dynamic Correction of Phishing Attack Response Scenarios;machine Learning for Multimodal Stress Detection – A Case-Study;Business Infrastructure Resilience to IT Infrastructure Risks and Its Modeling;safety of Unmanned systems;Analysis of Routing Protocols in MANET Networks;on the Way to Building Reliable and Secure Cloud-Based Data Processing systems;an Approach to Reducing Device Uncertainty in Fog-Cloud Computing;research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code;biometric Two-Factor Authentication Method Using Liveliness Detection with Human Presence Indicators;investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System;methodologies for Securing Biometric Data in Research and Commercial Stimulation Equipment;simulation Modeling of the Risk Processing Process;improving the Detection of Malefactors Cyberattacks Using Interpretable Artificial Intelligence Models;OSSA Scheduler: Opposition-Based Learning Salp Swarm Algorithm for Task Scheduling in Cloud Computing.

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