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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

共 6860 条记录，以下是571-580 订阅

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DYNAMIC SPECTRUM MANAGEMENT USING OPERATIONAL SPECTRUM COMPREHENSION, ANALYTICS, AND RESPONSE (OSCAR) 57

DYNAMIC SPECTRUM MANAGEMENT USING OPERATIONAL SPECTRUM COMPR...

引用

57th Annual International Telemetering conference, ITC 2022

作者： Tortorich, Ryan Portune, Andrew Lackpour, Alex Triolo, Tony Peraton Labs 331 Newman Springs Road Red BankNJ07701 United States

Increasing demand for spectrum resources has introduced the need for intelligent and dynamic spectrum management systems. To address this need, Peraton Labs is developing the Operational Spectrum Comprehension, Analytics, and Response (OSCAR) system. OSCAR provides a simple automated dynamic spectrum planning capability that enables sharing between military and commercial systems in shared bands including AWS-3, AMBIT, and future shared bands. OSCAR provides spectrum managers with a unified interface and automated workflow tools to plan spectrum usage, deconflict spectrum requests for multiple concurrent test and training missions, and push those plans to radios, while also dynamically reacting to and avoiding interference in real time with a mature and flexible RF sensor network. This paper discusses how OSCAR can dramatically improve spectrum planning and enable dynamic in-mission spectrum agility. We describe how OSCAR can streamline current spectrum management duties and enable more advanced spectrum management activities including informed spectrum sharing, DSA radio management, real-time spectrum situational awareness, increased spectrum utilization, and more. © 2022 International Foundation for Telemetering. All rights reserved.

关键词： sensor networks

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A self-driving car based on a combination of Median and Kalman filters 60

A self-driving car based on a combination of Median and Kalm...

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60th Annual conference of the Society-of-Instrument-and-control-Engineers-of-Japan (SICE)

作者： Chinnapun, C. Rajruangrabin, J. Kondo, T. Thammasat Univ Sirindhorn Int Inst Technol Sch ICT Bangkok Thailand Natl Elect & Computers Technol Ctr NECTEC Bangkok Thailand

ISBN: (纸本)9784907764739

A Kalman filter is proved to be an effective tool for data processing. It was implemented widely over the last decade, mostly in robotics. This paper presents an application of sensor fusion to predict distance from a self-driving car to another object. We propose a method that uses a combination of sensors for distance estimation, which also uses a Kalman filter implementation to increase the efficiency of distance estimation. Multiple Lidars and a camera contribute to the improvement of data preprocessing for the Kalman filter. This application will help develop an advanced driverassistance system such as a collision warning system, vehicle velocity calculation, and an advanced emergency braking system.

关键词： Object detection Kalman filter Lidar Vision Distance estimation sensor fusion Median filter

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Armbot Using Raspberry-Pi

Armbot Using Raspberry-Pi

引用

International conference on Science Technology Engineering and Management (ICONSTEM)

作者： Raghav Khunteta Sambhav Bhansali D Marshiana Rika Mallika Amarja Pote Symbiosis Institute of Technology Pune Campus Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

This paper presents the design, implementation, and control of a robotic arm using Raspberry- pi, aiming to provide an intuitive and user-friendly interface for remote manipulation of the arm's movements. The system consists of mechanical components, sensors, microcontrollers, and an Android application for remote operation. It enables seamless communication between the gaming console/keyboard and the robotic arm through a wireless connection, allowing real-time control and monitoring of the arm's movements. The control algorithm focuses on accuracy, precision, and safety, incorporating collision detection and force feedback mechanisms. The paper discusses challenges faced during the design and implementation process, including mechanical design considerations, sensor integration, wireless communication protocols, and real-time control synchronization.

关键词： Wireless communication Mechanical sensors Wireless sensor networks Technological innovation Automation Manipulators Robot sensing systems

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Testing the Serial Data Streaming Feature of Microsoft Excel using an Angle control system

Testing the Serial Data Streaming Feature of Microsoft Excel...

引用

Communications, Information, Electronic and Energy systems (CIEES), International conference on

作者： Ion-Cornel Mituletu Vlad Muresan Dept. of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (数字)9798350352863

ISBN: (纸本)9798350352870

In the paper, a method to achieve a hardware-software control system is presented, it could be an example for other control algorithms developing as well as an alternative to high-cost control implementation, especially in the research area. The hardware side consists of two ESP32 for high-speed and real-time wireless data exchange and an Arduino Due as USB interface with the PC. The angle value is acquired from a six-axis gyro-accelerometer sensor and send to the control algorithm implemented in Excel, which provides the command value to control the angular position. Wireless data transmission at high-speed is accomplished using ESP-NOW protocol designed by Espressif, and the serial communication between Arduino DUE and Excel is facilitated by Data Streamer a Microsoft developed add tool. Tests performed on the simulated drone arm show interesting characteristics that can be obtained if control technics are implemented in common software as Excel, also defining a low-cost method possible to be widely used in the future researches.

关键词： Wireless communication Wireless sensor networks Software algorithms control systems Hardware Software Real-time systems Spreadsheet programs Testing Drones

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advanced Wireless Earthquake Alarm system

Advanced Wireless Earthquake Alarm System

引用

Telecommunications conference (ITC-Egypt), International

作者： Mostafa Ebrahim Saaid Moamen Mohamed Youssef Marwa Fawzi Ramadan Abdullah Mohamed Refaey Omar Hamed Omar Mohamed Hussein Moharam Electronics & communications Eng. Misr University For Science & Technology Cairo Egypt Department of Electronics and Communications Engineering Misr University For Science & Technology Cairo Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

The wireless earthquake alarm system described in this study is intended to notify people in advance of impending earthquakes and to give early warning. It detects seismic activity using wireless sensors and sends indications right away to a central control unit. Based on the sensor measurements, the system analyzes and determines the earthquake's severity using sophisticated algorithms. The system notifies users of the presence of an earthquake by means of visual and aural alarms, enabling them to take appropriate safety measures and, if needed, escape. Because the system is wireless, it can be easily installed and scaled to fit a variety of environments, including workplaces, schools, and residential structures. This project's objectives are to improve public safety and reduce the hazards related to earthquakes through early detection and timely warning

关键词： Wireless communication Wireless sensor networks Seismic measurements Visualization Earthquakes Alarm systems sensor systems

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ILO-based Actuator and sensor Faults Estimation for Nonlinear Discrete-time systems

ILO-based Actuator and Sensor Faults Estimation for Nonlinea...

引用

Chinese control and Decision conference, CCDC

作者： Sheng Gao Wei Zhang Yuanzheng Tian Weiguo Kong Zhaoguang Wang State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research Shanghai China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

This paper addresses the multiple faults estimation problem of actuator and sensor faults with using iterative learning observer (ILO) for nonlinear discrete-time systems. First, an augmented descriptor system including system state and sensor fault vectors is constructed to achieve multiple faults estimation purpose. Then, a novel iterative learning observer is proposed, and the nonlinear estimation error is deduced into a more compact system by using a reformulated Lipschitz property. Next, design conditions of the observers are derived into the LMI optimization problem where a slack variable and L ∞ . performance index is introduced to reduce the conservativeness and obtain a more excellent performance of fault estimation. Finally, numerical simulations of an example of a single-link robot arm are provided to illustrate the effectiveness of the proposed method and multiple fault estimation scheme.

关键词： Discrete-time systems Actuators Simulation Estimation Observers Robot sensing systems Vectors

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Design of a testing system for a large-range piezoelectric force sensor based on LabVIEW 4

Design of a testing system for a large-range piezoelectric f...

引用

4th IEEE advanced Information Management, Communicates, Electronic and Automation control conference, IMCEC 2021

作者： Yang, Xiaoqi Li, Yingjun Wang, Guicong Cai, Sikang Jinan Universty School of Mechanical Engineering Jinan China

ISBN: (纸本)9781728185347

Aiming at the calibration experiment of piezoelectric sensor, a high-precision piezoelectric sensor test system is designed, based on LabVIEW software development platform. The hardware composition and software design flow of the test system is described. The calibration experiment is performed. The monitoring platform is built by LabVIEW, which has the functions of a waveform image display, real-time data display, storage and playback. It improves the accuracy of data acquisition and facilitates the later data processing, and accurately displays the voltage output signal of a piezoelectric sensor. © 2021 IEEE.

关键词： Software design

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21st International conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2023

21st International Conference on Advances in Mobile Computin...

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21st International conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2023

ISBN: (纸本)9783031483479

The proceedings contain 15 papers. The special focus in this conference is on Advances in Mobile Computing and Multimedia Intelligence. The topics include: Face to Face with Efficiency: Real-Time Face Recognition Pipelines on Embedded Devices;multi-camera Live Video Streaming over Wireless Network;effects of Deep Generative AutoEncoder Based Image Compression on Face Attribute Recognition: A Comprehensive Study;Implementation of a Video Game controlled by Pressing the Upper Arm Using PPG sensor;immerscape: Supporting the Creation of Immersive Soundscapes by Users in Cultural Heritage Contexts;analysis of Data Obtained from the Mobile Botnet;On the Impact of FFP2 Face Masks on Speaker Verification for Mobile Device Authentication;Blockchain-Enhanced IoHT: A Patient-Centric Internet of Healthcare Things Platform with Smart Contract-Driven Data Management;federated Learning for Collaborative Cybersecurity of Distributed Healthcare;does Use of Blink interface Affect Number of Blinks When Reading Paper Books?;a Method for Stimuli control of Carbonated Beverages by Estimating and Reducing Carbonation Level;a Knee Injury Prevention system by Continuous Knee Angle Recognition Using Stretch sensors;Ubiquitous Mobile Application for Conducting Occupational Therapy in Children with ADHD.

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Establishment of Soil Preferential Flow Model based on Modern Remote sensor Observation Methods 6

Establishment of Soil Preferential Flow Model based on Moder...

引用

6th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

作者： Liu, Yan Inner Mongolia Agricultural University College of Desert Control Science and Engineering Inner Mongolia Hohhot010070 China

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

Establishment of the soil preferential flow model based on modern remote sensor observation methods is studied in this study. It is currently the world's advanced open solution for the process automation systems and a new generation of open system for the industry. Hence, this paper proposes the 2 aspects of novelty. (1) Small satellites can use various forms of the delivery and launch vehicles, and it only takes a few days from preparation to launch and even activation. This technology will be applied in the data collection process. (2) The function of the sink node is responsible for the convergence and forwarding of information in the WSN. This novel sensor model is used to perform information transmission. Besides these, the soil preferential flow model is designed and implemented. The simulation is conducted for the verification of the proposed framework. © 2022 IEEE.

关键词： Soils

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Quantum-Enhanced Spiking Neural Networks for Closed-Loop Neuromodulation systems: A Theoretically advanced Framework

Quantum-Enhanced Spiking Neural Networks for Closed-Loop Neu...

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Innovative Computing, Intelligent Communication and Smart Electrical systems (ICSES), International conference on

作者： Vallari Ashar Sarthak Bansal Pandiyaraju V School of Computer Science and Engineering Vellore Institute of Technology Chennai Tamilnadu India

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

Over one billion people worldwide are affected with neurological disorders and their economic impact is approximately $800 billion annually, which constitutes major medical challenge. Using neuromodulation systems currently available suffers from sensitivity, reaction time as well as energy consumption. The proposal in this research is to address these major issues in closed loop neuromodulation by using a Quantum enhanced Spiking Neural Network (QESNN) architecture. This paper represents the interfacing of two major fields: quantum sensing and neuromorphic computing. The QESNN architecture comprises three core components: This is implemented as an array of quantum sensors, a quantum classical hybrid interface, and a spiking neural network (SNN). Taking advantage of quantum superposition and entanglement principles, the quantum sensor array noninvasively images neural activity at the level of single action potentials using NV centers. These sensors work at ambient temperatures, which is unlike superconducting devices. For processing with neuromorphic processing, quantum-classical hybrid converts quantum sensor data into classical signals with advanced signal process such as quantum state estimation and noise reduction. By modeling biological neurons with leaky integrate and fire neurons, the SNN serves as a low power, timed neural dynamics modulation component that emulates biological event driven behavior. A key innovation in our architecture is adaptive thresholding, which dynamically adjusts detection thresholds based on signal distributions, improving sensitivity and reducing false positives by 45.6%. The system also achieves 20-30% higher power efficiency through techniques like adaptive sensor frequency control and low-power processing. Simulation results that show how the QESNN performs better than classical systems with less false positives and greater energy efficiency are presented. A new platform is demonstrated that integrates quantum sensing with neurom

关键词： Neurological diseases Temperature sensors Sensitivity Quantum computing Neuromorphic engineering Spiking neural networks Computer architecture Neuromodulation Quantum sensing sensor arrays

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