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

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Bluetooth-Enabled Smart Juicebot Controlled via Mobile App

Bluetooth-Enabled Smart Juicebot Controlled via Mobile App

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International conference on advanced Information Technologies (ICAIT)

作者： Htet Paing Linn Htet Myet Zaw Aung Kaung Myat May Pearl Khin Shun Lae Thu Tha Pyay Win University of Information Technology Yangon Myanmar Hardware Lab University of Information Technology Yangon Myanmar

ISBN: (数字)9798331510046

ISBN: (纸本)9798331510053

The increasing demand for automation in food and beverage industries has led to the development of devices that can efficiently handle tasks such as drink preparation. This paper presents the design and assembly of an Arduino-based automated Juicebot, aimed at automating the beverage-making process. Juicebot is designed to serve a diverse range of juice combinations, offering users the flexibility to choose from different flavors and create custom mixes. The system incorporates components such as stepper motor, ultrasonic sensors, Bluetooth module, and servo motors, which work together to create a seamless, user-friendly experience. Controlled remotely via a mobile application, Juicebot offers not only convenience but also precision, hygiene, and customization. It is a cost-effective solution for small and medium-sized businesses looking to improve efficiency and customer engagement. The paper discusses the hardware and software design, system flow, testing, and potential future improvements to the system.

关键词： Software design Bluetooth sensor systems Hardware Mobile applications sensors Servomotors Information technology Testing Business

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SMO Based sensorless Direct Torque Sliding Mode Control of IM for EV applications

SMO Based Sensorless Direct Torque Sliding Mode Control of I...

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International conference on advanced Electrical Engineering (ICAEE)

作者： Abdelkader Ghezouani Imen Souhila Bousmaha Jemal Ghouili Electrical Engineering Department University of Bechar Bechar Algeria Ecole Supérieure en Sciences Appliquées de Tlemcen ESSAT- Tlemcen Tlemcen Algeria Intelligent Control and Electrical Power Systems Laboratory Djillali Liabes University of Sidi-Bel-Abbes Electrical Engineering Department University of Moncton Moncton Canada

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

This paper presents a study and analysis of a direct torque control strategy associated with a sliding mode control (DTC-SMC) without a speed sensor to control the four induction motors used for the propulsion of a four-wheel drive electric vehicle 4WDEV. The estimation of the rotor speed of each motor is obtained by a sliding mode observer SMO. The main objective of this control method is to increase the robustness and reduce torque and stator flux oscillations. The model is made using the Matlab / Simulink environment. The simulation results obtained show the effectiveness of the control strategy in terms of driving cycle trajectory tracking and disturbance rejection.

关键词： Torque Trajectory tracking Software packages Simulation Torque control Rotors Observers Stators Electric vehicles Sliding mode control

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Intelligent Pulverised Collective-Adaptive systems

Intelligent Pulverised Collective-Adaptive Systems

引用

Autonomic Computing and Self-Organizing systems Companion (ACSOS-C), IEEE International conference on

作者： Nicolas Farabegoli Department of Computer Science and Engineering Alma Mater Studiorum—Università di Bologna

ISBN: (数字)9798350389760

ISBN: (纸本)9798350389777

The concept of Edge-cloud Continuum (ECC) serves as a strategic infrastructure for deploying modern Collective-adaptive systems (CASs). In this framework, heterogeneous devices create a continuum between the edge and the cloud, offering new opportunities and challenges for deploying collective systems such as smart cities, IoT applications, and more. Pre-liminary work, like the pulverisation approach, models a system as an ensemble of logical entities connected forming a dynamic graph, where each device is decomposed into five independent components (i.e., sensors, actuators, state, communication, and behaviour). This approach addresses the challenge of devising an application partitioning strategy to effectively deploy collective systems in the continuum but does not provide an explicit mechanism to handle dynamic system reconfiguration. For this reason, learning approaches can be effective in managing the dynamic and continuously evolving requirements of the ECC (e.g., latency, power consumption, computational resources). In this paper we propose a new generation of “Intelligent Collective Services” that uses advanced partitioning models and learning approaches, such as Graph Neural Network (GNN) and Many-agent Reinforcement Learning (MARL), to enhance adaptability and pave the way for the next generation of CAS in the ECC.

关键词： Power demand Smart cities Reinforcement learning Dynamic scheduling Graph neural networks sensor systems Internet of Things Dynamical systems Next generation networking Intelligent sensors

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Design and Implementation of Dynamic Motion Policy for Multi-sensor Omnidirectional Mobile Arm Robot System in Human-Robot Coexisted Healthcare Workplace

Design and Implementation of Dynamic Motion Policy for Multi...

引用

International conference on advanced Robotics and Intelligent systems (ARIS)

作者： Yu-Hsiung Wu Tzuu-Hseng S. Li aiRobots Lab. MS Degree Program on AI Robotics National Cheng Kung University Tainan Taiwan R.O.C.

This paper presents the design and implementation of an Omnidirectional Mobile Arm Robot System (O-MARS) equipped with multiple sensors. The system integrates sensor information using Riemannian Motion Policies (RMP) to generate dynamic motion policies, which are continuously transmitted to the corresponding actuators of the robot. To facilitate dynamic motion policies for the robot arm and mobile robot, this paper incorporates Eye-in-Hand and Eye-to-Hand vision applications as well as self-collision avoidance. The integration of vision and LIDAR localization guides the mobile robot towards its goal position. Additionally, a virtual model of the robot’s environment is constructed, and a virtual-physical integration system is devised. Within this system, the decision-making process of the RMP involves establishing relevant connections between recognized modeled environmental obstacles and the robot’s digital twins. This capability enables the mobile robot to navigate around obstacles in a familiar environment. Furthermore, the inclusion of digital twins allows for the integration of LiDAR obstacle avoidance, empowering the robot to exhibit avoidance behavior when encountering unknown obstacles. The system also incorporates human skeletons and whole-body position information to autonomously analyze collision dynamics between humans and robots, ensuring their safe coexistence in shared environments. Lastly, a physical experiment is conducted in a healthcare workplace where humans and robots coexist, with a specific focus on the transportation of medical supplies. This experiment aims to demonstrate the system’s effectiveness in terms of accuracy, efficiency, and safety. This paper applies the RMP approach to various domains, including sensor integration, virtual-physical integration, and the heterogeneous application of manipulators and mobile robots. The experimental results of this paper can be found at https://***/watch?v=pRyd0-gvutM.

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Design and Development of a Real-Time IoT Infrastructure for a future workspace - Energy efficiency and sustainability

Design and Development of a Real-Time IoT Infrastructure for...

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IEEE/ACM Int'l conference on & Int'l conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Hamza Saadaoui Hajer Rabii Zeynep Tulumen Amaris Research Unit Paris France

ISBN: (数字)9798350351637

ISBN: (纸本)9798350351644

The pursuit of energy-efficient and sustainable buildings is increasingly reliant on innovations in IoT technologies, cloud computing, and advanced machine learning. In this paper, we present a comprehensive hardware and software architecture designed to collect sensor data and store it in the cloud, setting the stage for enhanced data-driven applications in smart buildings. The paper covers technical choices and implementation specifics, emphasizing the integration of diverse data sources into a unified cloud-based framework. The ultimate objective is to achieve real-time monitoring, create predictive models for energy consumption, and implement automated building control. These efforts lay the groundwork for advanced data-driven decision-making strategies to conceive sustainable and energy efficient smart workspaces.

关键词： Cloud computing Energy consumption Smart buildings Soft sensors Decision making Predictive models Energy efficiency Real-time systems Hardware Sustainable development

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An IoT-Based Real Time Temperature and Humidity Monitoring and Data Logging System Using ESP32

An IoT-Based Real Time Temperature and Humidity Monitoring a...

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International conference on advanced Information Technologies (ICAIT)

作者： Khaing Zar Zar Myint Maung Aye Tin Tin Hla Dept. of Electronic Engineering Mandalay Technological University Mandalay Myanmar

ISBN: (数字)9798331510046

ISBN: (纸本)9798331510053

The purpose of this research is to monitor the weather in Mandalay, where temperatures are high, in order to protect children and the elderly from heatstroke. In this research, the weather is monitoring and data logging using TTGO Call ESP 32 with Wi-Fi module, DHT 11 temperature and humidity sensor, 16*2 LCD display with I2C interface. Real Time Clock RTC is used for real time applications. The 16*2 LCD display is used to easily view weather data. The http protocol data logging system is used in this research. The weather data has been data logging to the server by using PythonAnywhere cloud-based platform to view from any location. The temperature and humidity data of the first six months of 2024 were obtained from the PythonAnywhere server, downloaded as a CSV file and analyzed and compared using charts.

关键词： Temperature sensors Temperature measurement Temperature distribution Protocols Humidity Real-time systems Liquid crystal displays Servers Monitoring Wireless fidelity

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Review on Communication Technologies used in Electric Vehicles

Review on Communication Technologies used in Electric Vehicl...

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IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： Prerana S Niranjan N Reddy Susan G Varghese Jayalakshmi N Sabhahit Department of Electrical and Electronics Engineering Manipal Institute of Technology MAHE Manipal India

ISBN: (数字)9798350350593

ISBN: (纸本)9798350350609

The automotive industry relies on wide range of networking protocols to facilitate effective communication and data exchange within vehicles. Local Interconnect Network (LIN) is a cost-effective protocol commonly utilized for non- critical tasks such as controlling interior lighting and transmitting basic sensor data. Similarly, Control Area Network (CAN) is a widely accepted protocol that enables high-speed real-time networking between electronic control units (ECUs), sensors, and actuators. CANopen is a protocol built after CAN, offers standardized communication profiles and advanced features to seamlessly integrate devices in embedded systems across various industries, including automotive. Time- Triggered CAN (TTCAN) enhances traditional CAN by incorporating time-triggered communication capabilities, ensuring deterministic behavior and predictable response times crucial for safety-critical applications. SAE J1939, which is based on CAN is commonly used in heavy-duty vehicles for standardized communication and diagnostics among different vehicle components. FlexRay, known for its high-speed and deterministic characteristics, is used in safety-critical automotive systems like active suspension and steer-by-wire applications, providing fault tolerance and advanced control functionalities. A comprehensive understanding of these automotive networking protocols is vital for establishing reliable and efficient communication networks that support a wide array of functionalities and safety features in modern vehicles.

关键词： Industries Protocols Machine control Control systems Real-time systems Robustness Automobiles Standards Manufacturing automation Automotive engineering

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Efficient and Non-Invasive Rice Moisture Quantification Using Coupled Lines Microwave sensor Design

Efficient and Non-Invasive Rice Moisture Quantification Usin...

引用

International conference on Information Technology (INCIT)

作者： Pratya Phanomupatum Ravee Phromloungsri Decha Wongpatsa Tiwat Pongthavornkamol Phatcharanat Saeng-On Somchat Sonasang Electronics Faculty of Industrial Technology Nakhon Phanom University Nakhon Phanom Thailand Computer and Communication Engineering Faculty of Technology Udon Thani Rajabhat University Udon Thani Thailand Faculty of Agriculture and Technology Nakhon Phanom University Nakhon Phanom Thailand Location and Automatic Identification System Research Team Location and Automatic NECTEC National Science and Technology Development Agency Pathum Thani Thailand Electrical Elements and Wireless Devices Unit (EEWDU) Faculty of Industrial Technology Nakhon Phanom University Nakhon Phanom Thailand

ISBN: (数字)9798350366303

ISBN: (纸本)9798350366310

This research presents the design, simulation, and experimental validation of a novel microwave sensor for noninvasive moisture measurement in rice. The sensor employs coupled microstrip lines fabricated on an FR4 substrate, designed to operate at a center frequency of 900 MHz with a quarter-wavelength configuration. The advanced Design System software was utilized for the simulation, where key parameters such as S 21 and phase response were analyzed across a frequency range of 0.1 to 3 GHz. The sensor was fabricated and tested using a Vector Network Analyzer, where the moisture content in rice samples was varied incrementally, and the sensor’s performance was evaluated based on the changes in transmission characteristics. The results demonstrated the sensor’s potential for accurate moisture detection in rice, showcasing its feasibility as a noninvasive measurement technique in agricultural applications. This study contributes to the development of efficient, real-time moisture measurement technologies in the food processing industry.

关键词： Microwave measurement Sensitivity Moisture measurement Moisture Network analyzers Microwave sensors Vectors Real-time systems System software Substrates

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Optimizing Wireless sensor Network Topology with Deep Reinforcement Learning for Multi-Source/Destination Scenarios

Optimizing Wireless Sensor Network Topology with Deep Reinfo...

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IEEE/ACM International Symposium on Big Data Computing (BDC)

作者： Kosei Kobayashi Masayoshi Aritsugi Pedro Henrique González Israel Mendonça Graduate School of Science and Technology Kumamoto University Kumamoto Japan Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (数字)9798350367300

ISBN: (纸本)9798350367317

Wireless sensor networks are widely valued for their effectiveness in real-time data collection. As the amount of data exchanged within such networks grows, designing a robust network topology that maximizes area coverage with minimal sensors has become a critical challenge. The choice of topology impacts key network metrics, including sensor coverage, communication range, connectivity, inference, and installation and management costsIn this paper, we address the Wireless sensor Network Planning Problem with Multiple Sources/Destinations, presenting an optimization approach based on deep reinforcement learning. This problem is noteworthy, as sensors in various applications are often required to share data within distinct destinationsWe leverage deep reinforcement learning to effectively address the complex task of selecting optimal sensor locations. Our reinforcement learning agent dynamically learns network structure by iteratively adding and removing sensors, optimizing both sensor coverage and the total number of sensors used. Experiment across diverse scenarios demonstrate the effectiveness of our method for network planning problems of varying scales, achieving full coverage with fewer sensors than traditional approaches. Additionally, our approach also produce solutions for large instances where Mixed Integer Programming solvers were not able to. Overall, our method was able to reduce the number of sensors used by up to 22.3% compared to other methods.

关键词： Measurement Integer programming Wireless sensor networks Network topology Deep reinforcement learning Real-time systems sensors Planning Topology Optimization

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A Novel Haptic System with advanced Force Sensing Capabilities for Soft-Robotic applications 5

A Novel Haptic System with Advanced Force Sensing Capabiliti...

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5th IEEE International conference on Flexible and Printable sensors and systems, FLEPS 2023

作者： Akhmatdinov, S. Dogdu, H. Haley, M. Panahi, M. Hanson, A.J. Masihi, S. Adineh, A.H. Palaniappan, V. Maddipatla, D. Atashbar, M.Z. Western Michigan University Department of Electrical and Computer Engineering KalamazooMI United States

ISBN: (纸本)9781665457330

Robots have been assisting humans for many years, especially in environments where human interventions are unallowed. Under such circumstances, only robots can safely perform tasks via master-controlled tele-operation. However, the dexterity of the robotic manipulation has remained a challenge and has to be improved using haptic feedback. This work aims to address the gaps in providing dexterous manipulations in current tele-robotic systems, where efforts have been more focused on improving commercially viable haptic feedback devices. This paper proposes a novel haptic system with advanced force-sensing capabilities that can measure the forces exerted by a robot onto an object during a particular manipulation. At the same time, a tactile piezoelectric stimulator delivers an analogous tactile signal (in the form of mechanical vibrations) back to the operator to control the dexterity of the operation. To mimic the sensing functionality of the human skin, multilayered pressure sensors with polydimethylsiloxane (PDMS) based cones and porous structures were optimized to be used for applications where the tele-operation involves interactions with a broad range of the applied pressures of 0 - 375 kPa. It was observed that as the pressure exerted by the robot gripper increased from 0 to 375 kPa (when gripping different loads), the voltage delivered by the readout module (designed as a Sallen-Key filter) to the microcontroller decreased from 3 V to 1.1 V, which is then translated to an increased tactile vibration frequency from 10 Hz to 300 Hz. © 2023 IEEE.

关键词： Polydimethylsiloxane

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