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

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Multiwavlength Brillouin Erbium fiber laser sensor with high resolution

Multiwavlength Brillouin Erbium fiber laser sensor with high...

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conference on Lasers and Electro-Optics Pacific Rim

作者： Yi Liu Mingjiang Zhang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan 030024 P. R. China Institute of Optoelectronic Engineering College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan 030024 P. R. China

ISBN: (纸本)9781509062904

Multiwavelength Brillouin Erbium fiber laser with ultra-narrow bandwidth filter is used as a temperature sensor. It has less than 10~(-3) ℃ resolution at the 3rd-order Stokes in the short term. 3.104 MHz/℃ sensitivity of the 3rd-order Stokes wavelength are demonstrated, which is three times that of the 1st-order Stokes wavelength. A less than 0.2 ℃ temperature error is obtained for every Stokes wavelength. This proposal can provide a feasible temperature sensing scheme with high sensitivity, high precision and low frequency detection.

关键词： Fiber laser sensor Multiwavelength Brillouin Erbium fiber laser High resolution

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Real-Time Speed Control of DC Gear-Motor Using PID Controller and Sliding Mode Control for Robotics

Real-Time Speed Control of DC Gear-Motor Using PID Controlle...

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Electrical, Computer, Telecommunication and Energy Technologies (ECTE-Tech), International conference on

作者： Fateh Moulahcene Rostom Khalef Imad Benacer Ammar Merazga Hichem Laib Salah Hanfoug Dept. of telecommunication and Networking University of oum elbouaghi Insttitute of technology Ain m'lila Algeria Cyber-Physical Systems and Biotechnology (CPS & BT) Oum El Bouaghi Algeria dept. of Electronic Institute of Science Morsli Abdallah University Center Tipaza Algeria Laboratoire Electromagnetisme et Télé communications Université Fréres Mentouri Constantine Algeria Dept. of Electrical Engineering Larbi Ben M'hidi University of Oum El Bouaghi Algeria Electrical Engineering Department LSPIE Laboratory Batna University Batna Algeria Advanced Electronics Laboratory (LEA) University of Batna Batna

ISBN: (数字)9798350388480

ISBN: (纸本)9798350388497

In this paper, we design and implement a low-cost Arduino-based real-time PID controller and a sliding mode control (SMC) controller for the angular speed of a DC gearmotor in robotics applications. The DC motor's primary challenge is controlling the angular speed to a predetermined reference. This research then proposed a SMC design for tracking control in a DC motor, incorporating Arduino hardware. The final results will be compared with the performance of the PID controller. The SMC can effectively manage the system to get the setpoint with commendable performance, even when different setpoints are changed. As all state variables must be determined, the encoder sensor is used in the hardware implementation. According to the results, The PID controller can achieve the set point continuously with oscillation. Compared with the PID controller, the SMC has a better Overshoot, with a faster rise time less than 0.85s, a faster settling time of less than 0.6s, and zero steady state error.

关键词： Velocity control Optimization methods DC motors Robot sensing systems Hardware Real-time systems Steady-state Sliding mode control Tuning Oscillators

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Development of an ASIC for APD-based small animal PET

Development of an ASIC for APD-based small animal PET

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： M.L. Woodring J.F. Christian K.S. Shah M.R. Squillante A.I. Kogan S. Cherry Yiping Shao F.L. Augustine Radiation Monitoring Devices Inc. Watertown MA USA Biomedical Engineering Department University of California슠Davis Davis CA USA Corporate Research and Development PET and Nuclear Systems and Applications Laboratory Niskayuna NY USA Augustine Engineering Inc. Encinitas CA USA

Development of an advanced, application-specific integrated circuit (ASIC) for use with high-density, avalanche photodiode (APD) detector arrays has been undertaken. APD technology recently developed at Radiation Monitoring Devices (RMD) has demonstrated great promise in the form of compact arrays. While APD arrays are capable of providing the basis for a new generation of high-resolution, photon-imaging systems, it is extraordinarily difficult to use conventional pulse-processing circuitry to support the many signals generated by these arrays. Due to the high detector density, small size, and unique electronic features of APD arrays, conventional readout electronics quickly become problematic for the implementation to APD arrays in positron-emission tomography (PET) systems. As the focus of NIH Phase I Small Business Innovation Research (SBIR) research, we designed and developed an ASIC to enable the implementation of APD arrays in PET. The circuit incorporates preamplifier, timing, shaping, and sample-and-hold capabilities that are necessary for APD use in PET. The ASIC has been designed, fabricated, and has undergone preliminary evaluation. We report on the development process, operational requirements, and performance results.

关键词： Application specific integrated circuits Animals Positron emission tomography sensor arrays Detectors Pulse generation Signal generators Phased arrays Avalanche photodiodes Integrated circuit technology

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A Control Method With Terrain Classification and Recognition for Lower Limb Soft Exosuit

A Control Method With Terrain Classification and Recognition...

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International conference on e-health Networking, applications and Services (HealthCom)

作者： Jiangpeng Ni Chunjie Chen Zhuo Wang Youfu Liu Xinyu Wu Yida Liu CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China

ISBN: (数字)9781728162676

ISBN: (纸本)9781728162683

Soft Exosuit is a kind of Lower-limb wearable robots to augment and assist the wearer's performance. The wearer need different assistance modes to reduce the metabolic rate when walking on different terrains. Therefore, assistance modes need to be selected according to different terrains for the wearer of soft Exosuit. Recently, our team has designed a stable terrain classification and recognition system (TCRS) for the soft Exosuit to discriminate terrains and estimating environmental features. Through this system, soft Exosuit can perceive the environment to auxiliary control of the locomotion modes. A depth sensor with an inertial measurement unit(IMU) can acquire to stabilize the point cloud of environments. Subsequently, the 2D point cloud is extracted from the origin 3D point cloud. Then, they are classified to estimate terrain environmental features, including the incline angle of the slope, the width, and the stairs' height. Finally, the TCRS was evaluated by classifying and recognizing five basic terrains in three different experimental scenarios while the subject was wearing the soft Exosuit with the TCRS module. The results show that the terrain classification accuracy rate reaches 97.74 %, and the environmental features estimation error is less than 15 %. The promising results indicate the robustness and the potential application of the presented TCRS to provide proper auxiliary force to reduce the metabolic rate of wearers on different terrains.

关键词： Three-dimensional displays Measurement units Exoskeletons Wearable robots Visual systems Robustness Force control

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The Development of ID System for Detecting Attacks in WSN Through Ontology Method and its Strategy

The Development of ID System for Detecting Attacks in WSN Th...

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Advance Computing and Innovative Technologies in Engineering (ICACITE), International conference on

作者： M.Sahaya Sheela Maninti Venkateswarlu Cecil Donald Padmaja Kadiri Mazin R. Al-Hameed Hassan Safi Osama Nazim Saadoun ECE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Chennai India Department of Computing Faculty of Science and Technology Kampala International University Western Campus Uganda Department of Computer Science CHRIST (Deemed to be University) Bengaluru Department of AIML School of Computing Mohan Babu University Tirupati Andhra Pradesh India College of Health and Medical Technology National University of Science and Technology Dhi Qar Iraq Al-Farahidi university Baghdad Iraq Al-kunooze University College Basra Iraq

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

Cybercriminals are becoming increasingly targeted by the rapid expansion of the Internet of Things (IoT), leading to an increase in cyberattacks targeting IoT devices and their communication channels These attacks, if failure to detect may result in significant service disruption, financial loss or damage to sensitive data. Real-time intrusion detection is essential to ensure reliability, security and profitability of IoT applications. This study introduces a new intrusion detection system designed for IoT devices that uses deep learning (DL). Utilizing ontology in wireless sensor networks (WSN), this intelligent system detects suspicious activities that pose a threat to connected IoT devices with configuration-neutral design provides ease of use, while the test performance analysis is simulated and real-world. It highlights its strong performance in determining admissions. The effectiveness of the system against many types of attacks such as denial of service, workholes, blackholes, opportunistic service attacks, etc. is confirmed by experimental research and furthermore, the system achieves F1 scores, accuracy and the number of memories. This advanced deep learning intrusion detection system shows great promise to improve IoT network security due to its high detection rate.

关键词： Deep learning Performance evaluation Wireless sensor networks Profitability Intrusion detection Ontologies Real-time systems

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Exploring UUV Development with NauSim: An Open-Source Simulation Platform

Exploring UUV Development with NauSim: An Open-Source Simula...

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Wireless and Optical Technologies (GCWOT), 2020 Global conference on

作者： César Antonio Ortiz-Toro Cristina Cerrada-Collado David Moreno-Salinas Dictino Chaos-García Karen Lyn García-Suárez Pablo Otero-Roth Juan Manuel Vidal-Pérez Miguel Ángel Luque-Nieto Ana Isabel Vázquez José Jesús Fraile-Ardanuy Vicente Negro-Valdecantos Eugenio Jiménez-Yguacel Joaquín Aranda-Almansa Santiago Zazo-Bello Pedro J. Zufiria Luis Magdalena-Layos Juan Parras-Moral Alvaro Gutiérrez Escuela Técnica Superior de Ingenieros de Telecomunicación UPM Madrid Spain Departamento de Ciencias de la Computación y Control Automático UNED Madrid Spain I. para el Desarrollo Tecnológico y la Innovación en Comunicaciones ULPGC Las Palmas Spain Instituto de Ingeniería Oceánica E.T.S. de Ingenierías de Telecomunicación UMA Málaga Spain Escuela de Ingenierías Marinas Náutica y Radioelectrónica UCA Cádiz Spain Escuela Técnica Superior de ing. de caminos canales y puertos UPM Madrid Spain

ISBN: (数字)9798331534271

ISBN: (纸本)9798331534288

This article introduces NauSim, an open-source simulation tool designed for developing control algorithms for Unmanned Underwater Vehicle (UUVs). NauSim is targeted at researchers and developers in underwater robotics, with a focus on Machine Learning (ML) based applications. The simulation tool is made in Python, acknowledging its prominence in ML research. Key design principles include a clean, flexible and modular architecture which can be integrated easily with existing control paradigms, thus allowing for the configuration of simulations, the creation of new environments and the addition of sensor interfaces and control models. Furthermore, NauSim emphasizes simplicity in deploying control algorithms from the simulator to target hardware. The article presents three use cases that illustrate the diverse applications of the simulator. The first case study is based on swarm robotics, the second showcases the development of advanced sensor simulations, and the third demonstrates the deployment of a controller developed in NauSim in a “real world” scenario.

关键词： Wireless communication Wireless sensor networks Visualization Machine learning algorithms Swarm robotics Machine learning Robot sensing systems Virtual prototyping Usability Testing

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Multimodal Human Detection using RGB, Thermal and LiDAR modalities for Robotic Perception

Multimodal Human Detection using RGB, Thermal and LiDAR moda...

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IEEE International conference on Automation Science and Engineering (CASE)

作者： Kennedy O. S. Mota Luís Garrote Cristiano Premebida Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Portugal

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

People detection is a relevant research topic in artificial perception with wide range of applications from security, surveillance, robotics to autonomous driving. Overcoming challenges in this field involves advanced algorithms, combination of machine learning approaches, as well as the use of sensory data e.g., from cameras and LiDARs. This work addresses the problem of people detection using YOLO, a state-of-the-art object detection method, trained on three distinct data sources LiDAR, RGB (color) and ‘thermal’ (long-wave infra-red) images. The rationale for combining multiple-sensory representation relies on the assumption that each sensor has its own advantages and disadvantages, but together they normally complement each other - specially in real-world conditions. LiDAR contributes to a physically-interpretable mapping of the environment, providing precise information regarding size/dimension and location of the objects, while RGB and thermal provide relevant textural features. The sensors have been calibrated w.r.t. each other thus, allowing the LiDAR’s point-clouds to be projected into the image plane, followed by an up-sampling step, to create dense-depth maps (DM) that enable direct use of the YOLO framework. To support the experiments, a new multi-sensory dataset has been collected using a mobile robot. Besides single-modality models, this paper also explores early and late-fusion strategies. Finally, the new dataset has been made available in a Github repository 1 .

关键词： YOLO Laser radar Machine learning algorithms Surveillance Soft sensors Thermal engineering Robot vision systems Security Mobile robots Software development management

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Development of an Efficient Charging Control System for Pico-Hydro Power Generation Utilizing Multiple Impact Water Wheel (MIWW) with MPPT Control

Development of an Efficient Charging Control System for Pico...

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International conference on Renewable Energy Research and applications (ICRERA)

作者： Yusuke Asami Hiroshi Takami Fuminori Ishibashi Shota Kawate Hidemi Kurita Masaki Shimizu Graduate School of Electrical Eng. and Computer Science Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. and Robotics Course College of Engineering Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. Faculty of Engineering Shibaura Institute of Technology Tokyo Japan Koa Electronics Co. Ltd. Nagano Japan Harmony with Nature Technology Laboratory Nagano Japan Souken Group Nagano Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper introduces an advanced charging control system for a Multiple Impact Water Wheel (MIWW) used in pico-hydropower generation. The control system maximizes energy conversion efficiency by employing a Maximum Power Point Tracking (MPPT) algorithm, which dynamically adjusts the system's operation based on real-time voltage and current measurements. Unlike traditional methods that rely on monitoring rotational speed, this approach simplifies the system by eliminating the need for speed sensors, thereby reducing costs and enhancing reliability. The control system is structured into four main operational phases: the water turbine acceleration phase, optimal control (MPPT) phase, drooping characteristic suppression phase, and overvoltage protection phase. Each phase is designed to optimize distinct aspects of system performance, ensuring stable and efficient power generation under varying water flow conditions. Experimental validation was conducted by subjecting the system to three different water pressure levels (0.036 MPa, 0.048 MPa, and 0.042 MPa). The results demonstrate that the system successfully maintained stable voltage and current, even during rapid fluctuations in water pressure, confirming the effectiveness of the proposed MPPT algorithm. By addressing the challenges of droop characteristics and overvoltage conditions, the control system ensures the reliability and efficiency of pico-hydropower systems. This research contributes to the development of cost-effective, efficient, and sustainable energy solutions, especially in regions lacking conventional power infrastructure.

关键词： Maximum power point trackers Water Fluctuations Heuristic algorithms Velocity control Wheels sensor systems Voltage control Power generation Turbines

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A Secure IoT Framework for Remote Health Monitoring Using Fog Computing

A Secure IoT Framework for Remote Health Monitoring Using Fo...

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Intelligent Computing, Communication, Networking and Services (ICCNS), International conference on

作者： Alaa Harasees Bilal Al-Ahmad Anas Alsobeh Abdullah Abuhussein Computer Information Systems The University of Jordan Jordan Computer Science and Information Technology Saint Cloud State University Minnesota USA Infortmation Technology Southern Illinois University Carbondale Carbondale IL USA

ISBN: (数字)9798350354690

ISBN: (纸本)9798350354706

This paper presents a secure IoT framework for remote health monitoring using fog computing, tailored for the Jordanian healthcare context. The proposed Remote Health System (RHS) addresses critical challenges in healthcare IoT applications, including latency, security, and bandwidth consumption. By integrating IoT wireless sensor networks with fog and cloud computing, our framework overcomes limitations prevalent in cloud-only solutions. The architecture leverages fog computing layers to provide local storage, real-time data processing, and preliminary analysis, acting as decision-makers and security checkpoints before relaying data to the cloud for complex functions. We incorporate advanced threat detection mechanisms and secure protocols to protect sensitive health data throughout its lifecycle. The performance and security of the proposed framework were evaluated using FogNetSim++ and OMNeT++ 4.6 simulations. The paper uses fog security and ZigBee communication protocols which implemented in the proposed framework. Results demonstrate the system's ability to reduce latency, energy consumption, and end-to-end delay while maintaining high security levels. CPU usage, memory consumption, and end-to-end delay were analyzed for various node configurations. The framework shows promise in enhancing healthcare delivery in Jordan, particularly in remote and underserved areas, by leveraging the strengths of IoT, fog computing, and cloud infrastructure. This work contributes to the evolving landscape of e-health systems in Jordan, by proposing a scalable, efficient, and secure solution that addresses the unique challenges of the country's healthcare sector.

关键词： Cloud computing Protocols Scalability Prototypes Medical services Delays Internet of Things Security Monitoring Edge computing

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A diagnostic approach for electro-mechanical actuators in aerospace systems

A diagnostic approach for electro-mechanical actuators in ae...

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IEEE conference on Aerospace

作者： Edward Balaban Prasun Bansal Paul Stoelting Abhinav Saxena Kai F. Goebel Simon Curran NASA Ames Research Center Moffett Field CA USA NASA Ames Research Center Mission Critical Technologies Inc. Moffett Field CA USA Moog Inc. East Aurora NY USA NASA Ames Research Center Research Institute for Advanced Computer Science Moffett Field CA USA

Electro-mechanical actuators (EMA) are finding increasing use in aerospace applications, especially with the trend towards all all-electric aircraft and spacecraft designs. However, electro-mechanical actuators still lack the knowledge base accumulated for other fielded actuator types, particularly with regard to fault detection and characterization. This paper presents a thorough analysis of some of the critical failure modes documented for EMAs and describes experiments conducted on detecting and isolating a subset of them. The list of failures has been prepared through an extensive Failure Modes and Criticality Analysis (FMECA) reference, literature review, and accessible industry experience. Methods for data acquisition and validation of algorithms on EMA test stands are described. A variety of condition indicators were developed that enabled detection, identification, and isolation among the various fault modes. A diagnostic algorithm based on an artificial neural network is shown to operate successfully using these condition indicators and furthermore, robustness of these diagnostic routines to sensor faults is demonstrated by showing their ability to distinguish between them and component failures. The paper concludes with a roadmap leading from this effort towards developing successful prognostic algorithms for electromechanical actuators.

关键词： Actuators Fault detection Failure analysis Aircraft Space vehicles Data acquisition Testing Fault diagnosis Artificial neural networks Robustness

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