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

共 6865 条记录，以下是181-190 订阅

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2024 IEEE International conference on Real-Time Computing and Robotics, RCAR 2024

2024 IEEE International Conference on Real-Time Computing an...

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2024 IEEE International conference on Real-Time Computing and Robotics, RCAR 2024

ISBN: (纸本)9798350372601

The proceedings contain 105 papers. The topics discussed include: design of a water surface robot photographer with the optimized interface photography algorithm;motion control of training robot with enhanced defecation control ability based on active and passive;data-driven discovery of unmanned aerial vehicles dynamics;a light waveguide bending sensor with a high sensing range and high sensitivity;haptic rendering of arthroscopic meniscus examination in SOFA;enhanced small ship segmentation with optimized ScatYOLOv8+CBAM on embedded systems;robotic assistance for standardized compression ultrasound elastography;learning capability to enhance locomotion control and planning for legged robots;deformability-aware stiffness-guided robotic grasping strategy based on tactile sensing;and a building information modeling (BIM)-enabled robotic system for automated indoor construction progress monitoring.

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Enhancing COVID-19 Safety: Automatic Mask Detection and Temperature Monitoring system using YOLOv5x and Mobile App Platform 14

Enhancing COVID-19 Safety: Automatic Mask Detection and Temp...

引用

14th Symposium on Computer Applications & Industrial Electronics (ISCAIE)

作者： Ahmed, Hanady S. Abood, Aumalhuda G. Abed, Ali A. Gallod, Ali A. Univ Basrah Dept Comp Engn Basrah Iraq

ISBN: (纸本)9798350348798;9798350348804

COVID-19 has several effects and disruptions to all sides of daily life. To minimize this effect, face mask should be worn to control its dangerous. To avoid the manual personal checking of the mask, which is a difficult and disturbing issue, the suggested idea is to develop an auto mask-checking based on mobile phone application platform that could be continuously running in real-time leading to a more beneficial and cheap surveillance system. Quite modern object detection platform, called, you only look once version 5x (YOLOv5x) is considered to realize this function. The model is trained using a custom-created dataset grouping mask/unmask persons' pictures. The model is invoked in Google Colab, transformed to a mobile application based on a light version of YOLOv5x, and then tested in real-time on a mobile phone. The application has also the capability for checking facemasks for a group of individuals in real-time with high-speed inference. Body temperature is also incorporated for each person using IR touchless sensor and monitored on the application interface. The developed real-time detector system is small-sized, low cost, lightweight, and fast response time, reaching 98.8% training\testing accuracy rate.

关键词： COVID-19 Deep learning,You only look once version 5x,Face mask detection Infra-red temperature sensor Google Colab Mobile App

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Improve power control action during Inverse Temperature Dependency in hybrid core architecture 10

Improve power control action during Inverse Temperature Depe...

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10th IEEE International conference on Electronics, Computing and Communication Technologies (IEEE CONECCT)

作者： Chakraborty, Suranjan Jena, Rajesh Lingambudi, Anil Bindu Jayaraman, Prasanna Misra, Amruta Intel Corp Client Comp Grp Santa Clara CA 95051 USA Intel Corp Datactr & AI Grp Santa Clara CA 95051 USA

ISBN: (纸本)9798350385939;9798350385922

The advanced microarchitecture design philosophy prioritizes performance, efficient power management, and thermal output control, with a focus on hybrid computing cores and integrated IP blocks like memory, high-speed I/Os, Cache-Coherent-Fabric, Image Processing Unit, etc. Each IP has multiple Digital Thermal sensor (DTS) diodes to monitor temperature. These IPs and their diodes are placed micrometers apart inside an SoC. According to the Inverse Temperature Dependency (ITD) effect, transistors slow down as temperature decreases for supply voltages below a critical limit, requiring increased voltage. ITD is an algorithm that involves voltage compensation based on temperature and the minimum voltage (Vmin) needed to switch on a transistor. As the SoC runs colder, more voltage is needed, increasing power consumption, and causing the SoC to hit its power limits (PL1/PL2) at lower temperatures, resulting in performance loss. The proposed solution could improve performance per watt by 5% to 10%, especially at lower temperatures and when exiting a low-power state. The core with the highest DTS temperature will wake up first, preventing hot cores from hitting PL1/PL2 early.

关键词： system-on-chip (SoC) Digital Thermal sensor (DTS) Firmware (FW) Intel Thread Director Technology (ITDT) Power control Unit (PCU) Maximum Junction Temperature (TjMax) Energy-Performance Policy (EPP) Thermal Design Power Limit (PL1) Turbo Power Limit (PL2)

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EKF Estimation of sensor Installation Parameters for sensor Fusion in Drones and its Observability Analysis

EKF Estimation of Sensor Installation Parameters for Sensor ...

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18th IEEE International conference on advanced Motion control, AMC 2024

作者： Nozaki, Taiki Sekiguchi, Kazuma Nonaka, Kenichiro Graduate School of Integrate Science and Engineering Tokyo City University Tokyo Japan Tokyo City University Department of Mechanical Systems Engineering Tokyo Japan

ISBN: (纸本)9798350342819

Since the accuracy of estimation is affected by the characteristics of the sensors and the operating environment, sensor fusion based on self localization using multiple sensor information has been proposed. In sensor fusion, when a new sensor is used, the position and orientation information of that sensor needs to be specified. Normally, these parameters are known by prior measurement or other means, but to improve accuracy through sensor fusion, it is important to know these values as accurately as possible. However, sensor fusion with these parameters unknown has not been discussed so far. This paper aims to improve the accuracy of state estimation by performing sensor fusion while estimating unknown installation parameters. We also examines whether it is possible to evaluate the accuracy of parameter estimation in such cases. The position and orientation of the Time-of-Flight (ToF) sensors are chosen as parameters. The parameters are added as a estimation target as well as the drone's states, and the Extended Kalman filter (EKF) is used to estimate the expanded system which they are added. It is then verified whether the accuracy of the estimation can be assessed by analysing local observability using the Lie derivative and the degree of observability of the system using the condition number of the observability matrix. Simulations show that simultaneous estimation of the state and parameters by EKF is possible, and that the accuracy of the estimation is improved for arbitrary states. And as a result, the degree of observability using the number of conditions allows a quantitative assessment of the accuracy of state and parameter estimation. © 2024 IEEE.

关键词： Extended Kalman filters

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Navigation and obstacle avoidance technology for warehouse tracking AGVs based on multi-sensor information fusion 2

Navigation and obstacle avoidance technology for warehouse t...

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2nd IEEE International conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2023

作者： Zhang, Naiwen University of Science and Technology Beijing College of Advanced Engineers Beijing100083 China

ISBN: (纸本)9781665462532

The Automated Guided Vehicle (AGV) is a device that uses various sensor technologies, automation, and multiple control systems. AGVs have many navigation methods, of which the magnetic stripe navigation system is well developed. The magnetic stripe navigation AGV positioning is carried out precisely and at a lower cost level. However, the magnetic stripe is prone to breakage, and the AGV can only travel according to the magnetic stripe and cannot be intelligently avoided or the task changed in real-time by the control system. This paper draws on magnetic stripe navigation tracking principles, using grey-scale sensors for stable path tracking;distance sensors are combined for timely obstacle avoidance;Bluetooth is used to obtain approximate indoor locations for path planning. The navigation system simultaneously combines multi-sensor information for navigation, ultimately enabling the AGV to be quickly positioned accurately along the prescribed path and return to the route in time to avoid obstacles. © 2023 IEEE.

关键词： Navigation systems

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Enhancing Human Machine interface Capabilities using Bluetooth Low Energy 4

Enhancing Human Machine Interface Capabilities using Bluetoo...

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4th IEEE Asian conference on Innovation in Technology, ASIANCON 2024

作者： Mahadwale, Shubham More, V.N. Mazire, Ajay Jain, Bhargav Bagam, Venkat Coep Technological University Dept. E&tc Engineering Pune India Whirlpool of India Limited Pune India

ISBN: (纸本)9798350354218

This article provides a thorough explanation of a system that uses proprietary protocols, Internet of Things technology, and Bluetooth Low Energy (BLE) connection to diagnose kitchen appliances remotely. The system consists of an Appliance control Unit (ACU) and Human-Machine interface (HMI), where consumers can communicate with their appliances by connecting HMI to a smartphone. Data transmission integrity is assured by security mechanisms such as access restrictions and passkey authentication. There are two different approaches for communication: In one approach, GATT (Generic Attribute Profile) is used with multiple services and characteristics, while HMI processes data. Alternatively, an ACU and smartphone can establish direct communication via the HMI acting as a transreceiver. Functions of the system include getting product information, fault codes, managing various components, acknowledging sensor information and accommodating Over-The-Air (OTA) updates. Multiple tests are performed to determine its reliability and effectiveness when used in remote device diagnosis. This research provides useful knowledge on how BLE can be integrated with appliances so it enhances serviceability through user experience. © 2024 IEEE.

关键词： Bluetooth

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IoT-Based Smart Home Automation

IoT-Based Smart Home Automation

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International conference on Electrical and Electronics Engineering, ICEEE 2023

作者： Gaur, Ishu Rai, Srishti Tiwari, Utkarsh Sagar, Anil Kumar Sharda School of Engineering and Technology Sharda University Greater Noida India

ISBN: (纸本)9789819986606

Smart home automation refers to the use of advanced technology to control, monitor, and automate differences in a home, such as temperature, security, and lighting, remotely through a centralized interface. The Internet of Things (IoT) has transformed the way the authors interact with technology and our environment. Home automation systems are a very rapidly growing interest among the people of this generation, and it has gotten a considerable amount of attention after the introduction of communication technologies. In the field of smart homes, IoT has played a very significant role in helping it grow. IoT in its most basic terms is connecting things like software and sensors to the Internet, enabling them to collect and exchange data without human intervention. IoT deals with AI sensors, cloud messaging, networking, etc., and aims to deliver complete information at the right time. IoT-based systems have greater transparency, control, performance as well as efficiency. The two primary concerns with home automation are security and energy utilization. This paper highlights different methods of achieving smart home automation via several different technologies such as Bluetooth, Global system for Mobile (GSM), Zigbee, and Dual-Tone Multi-Frequency (DTMF). In this paper, the authors will delve into the details of IoT-based smart home automation and its various components, benefits, and challenges as well as its impact on society. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wireless sensor networks

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Application of big data analysis in improving the efficiency of sensor reliability testing

Application of big data analysis in improving the efficiency...

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2024 International conference on Physics, Photonics, and Optical Engineering, ICPPOE 2024

作者： Wan, Wangjun Zhao, Minghua Song, Weijie Dong, Chunfa Ling, Zhixiang State Grid Jinan Power Supply Company Shandong Jinan250000 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

In modern technological applications, the reliability of sensors plays a crucial role in ensuring the proper functioning of systems. Therefore, sensor reliability testing has become an important aspect of quality control and system maintenance. However, traditional testing methods often face challenges in terms of efficiency and accuracy, especially when dealing with large-scale sensor data. In order to address these challenges, this paper proposes an innovative approach to improving sensor reliability testing efficiency by leveraging big data analytics, particularly through the application of neural networks. The method involves extracting features from different scales and abstraction levels using a multi-scale neural network architecture. Subsequently, the extracted detailed information is fused with high-level semantic features to minimize information loss, enhance feature utilization, and obtain advanced features, thereby improving the performance of the network. Additionally, a spatial attention module is introduced into the network to extract critical information and enhance overall network performance, effectively detecting sensor faults. Through comprehensive experiments conducted on real-world sensor data, the effectiveness and efficiency of the proposed method have been demonstrated, highlighting its significant potential in enhancing sensor reliability testing processes. This research not only contributes to the advancement of sensor reliability testing but also underscores the broader potential of big data analytics in improving the performance and reliability of complex technological systems. © 2025 SPIE.

关键词： Data reliability

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advanced Robotic Surveillance for Urban Air Quality Safety

Advanced Robotic Surveillance for Urban Air Quality Safety

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IEEE International conference on Electro Information Technology (EIT)

作者： Hansen, Guillaume Benson, James R. Danish, Muhammad Rafay Khoa Truong Yu, Xinrui Saniie, Jafar IIT Dept Elect & Comp Engn Embedded Comp & Signal Proc ECASP Res Lab Chicago IL 60616 USA

ISBN: (纸本)9798350330656;9798350330649

This paper presents a multifunctional quadruped robot, specifically engineered for comprehensive air quality monitoring and emergency assistance. Designed to navigate through urban environments, the robot autonomously collects and transmits real-time air quality data to a centralized database. This interdisciplinary paper integrates robotics, environmental science, and emergency response protocols to propose novel solutions for smart city infrastructure, public health, and disaster management. Specifically, this research highlights the critical role that autonomous systems play in monitoring environmental conditions and advancing safety protocols. This research leverages a comprehensive array of sensors including CO2 (MH-Z19), particle (SDS 011), GPS (ADA 746), DHT 22, MQ 9, and ADS 1115 converter, each meticulously implemented to ensure precise environmental data collection and analysis. Furthermore, the integration of cutting-edge technologies such as Robot Operating system (ROS),.NET MAUI, Python, and MariaDB establishes a robust framework for seamless operation, data processing, and secure storage within the quadruped robot system.

关键词： quadruped robot smart system ROS air quality sensor remote control API database

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Serialized control interface ASIC for Distributed controllers of Space-Borne RADAR 38

Serialized Control Interface ASIC for Distributed Controller...

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38th International conference on VLSI Design, VLSID 2025

作者： Patel, Chiragkumar B. Singh, Ajay Kumar Patel, Himanshu N. Kumar, B Saravana Space Applications Centre India

ISBN: (纸本)9798331522445

Synthetic Aperture Radar (SAR) with active phased array antenna is a system having distributed controllers for control and synchronization of individual RF elements. In current generation SAR payloads of ISRO, three level of distributed control hierarchy is adopted. Transmit/Receive controllers (TRC), as a separate subsystem comes at the third level of hierarchy. TRC loads attenuation and phase digital data to each RF element (T/R module) for electronic beam steering. Phased array radar systems consist of hundreds of such subsystems. In new space arena, requirement of low weight and miniaturized volume SAR payload necessitates the reduction of subsystems and interconnect lines. An innovative approach is adopted through partitioning the task in such a way that TRC as a subsystem shrinks into a single IC solution named as Serialized control interface (SCI) ASIC. SCI ASIC can be housed inside TR Module as a component thus omitting the need of TRC as a separate subsystem. Traditionally, telecommand, telemetry and radar timing signals are communicated through separate differential inter-connect lines between central controller and distributed controllers. Bulky interconnect lines increase complexity, size and weight of payload. With new approach of SCI ASIC, harness complexity is significantly reduced due to signal generation inside SCI through pattern generator concept. We present architecture, design and implementation methodology for SCI ASIC which controls TR Modules to meet all the functional requirements of advanced imaging RADAR. © 2025 IEEE.

关键词： Antenna phased arrays

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