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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

共 9453 条记录，以下是1391-1400 订阅

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Partially Observable Markov Decision Processes for Robotic Assistance in a sensor-Fused Smart Home Environment

Partially Observable Markov Decision Processes for Robotic A...

引用

international conference on Autonomous Robots and Agents, ICARA

作者： Aristeides D. Papadopoulos Ioanna Kechagia Dimitrios Giakoumis Konstantinos Votis Dimitrios Tzovaras Center for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece Mechanical Engineering Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (数字)9798350394245

ISBN: (纸本)9798350394252

In this work the Partially Observable Markov Decision Process (POMDP) method is formulated for the determination of robot actions whose role is to assist a Human Activity Recognition (HAR) system in a smart home environment. The HAR consists of various sensors (wearable, microphones, cameras, smart plugs, temperature and humidity sensors) whose outputs are optimally fused to enhance the classification accuracy. In cases where the result of the HAR is uncertain a robot assists in the classification by approaching the person, performing its own recognition and providing, from its sensors, additional optical and audio data to the HAR. The POMDP model takes into consideration the precision of the HAR and assigns higher probability to state transitions that are more likely to occur.

关键词： Temperature sensors Markov decision processes Smart homes sensor fusion Numerical models Human activity recognition Optical sensors

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Service-oriented architecture for control of modular robots 26

Service-oriented architecture for control of modular robots

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26th international conference on Circuits, Systems, Communications and Computers, CSCC 2022

作者： Chikurtev, Denis Institute of Information and Communication Technologies Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (纸本)9781665481861

Service robots are increasingly used in agriculture. They are used in both animal husbandry and crop production. In this study, we present a distributed software architecture for controlling a modular service robot for animal husbandry. The purpose of this architecture is to provide communication between the modules installed on the robot. Communication is based on services and micro services, by sending requests and responses between the individual modules. The presented system can be used to control robots with different applications. The article presents an example of controlling a mobile robot in warehouses and production buildings used in animal husbandry. Modules for computer vision and autonomous navigation are presented. As an autonomous navigation module, it is a complex system of a laser sensor and GPS system. The presented distributed architecture successfully handles the control of a mobile robot and provides opportunities to upgrade the robot's systems and connect to external cyber-physical systems. © 2022 IEEE.

关键词： Mobile robots

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Flexible, Breathable and Sweatproof Piezoelectric sensors Based on Additive Manufacturing

Flexible, Breathable and Sweatproof Piezoelectric Sensors Ba...

引用

international conference on Electronic Engineering and Informatics (EEI)

作者： Zhiqiang Yang Zilong Guo Weixia Lan Yuanyuan Liu School of Mechatronics Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

Flexible piezoelectric sensors have widespread applications in the field of wearable devices and human-machine interaction technologies. However, the manufacturing of these sensors mostly relies on manual assembly, lacking efficient manufacturing processes. In this paper, the “one-step” fabrication of flexible piezoelectric sensors is achieved with a self-developed multi-component additive manufacturing composite system The sensor was designed with the electrospun PVDF functional layer, printed Ag electrode layer, and electrospun TPU encapsulation layer. The produced sensors exhibit a sensitivity of 0.04 V/N, a rapid response time of 25 ms, good breathability $(600\ \mathrm{g}/\mathrm{m}^{2}/\text{day})$ , and excellent sweat resistance. This method offers a promising approach for the efficient manufacturing of breathable and sweatproof flexible piezoelectric sensors.

关键词： Sensitivity Manufacturing processes Interconnected systems Three-dimensional printing sensor systems Time factors Piezoelectric devices Wearable devices Wearable sensors Monitoring

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DLIoMT: Deep Learning Approaches for IoMT-Overview, challenges and the future

DLIoMT: Deep Learning Approaches for IoMT-Overview, challeng...

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international conference on Computer, Electrical & Communication Engineering (ICCECE)

作者： V Harshni Satyendr Singh R Indhumathi Neelam Sanjeev Kumar Subrata Chowdhury Sudhansu Shekhar Patra Department of BME SRM Institute of Science and Technology Ramapuram campus Chennai India Computer Science & Engg Department BML Munjal University Gurugram India Department of Computer Science and Engineering (E.Tech) SRM Institute of Science and Technology Vadapalani Campus Chennai India Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management Studies Chittoor Andra Pradesh India School of Compter Applications Kalinga Institute of Industrial Technology (KIIT) Deemed to be University Bhubaneswar Odisha India

ISBN: (数字)9798331513894

ISBN: (纸本)9798331513900

An artificial intelligence (AI) system works by combining a computer program and algorithms to make a device more efficient and intelligent for tasks that are typically performed by humans. Deep learning, machine learning, conventional neural networks, recognition, and fuzzy logic are a few of the subsets of AI with unique capabilities and functions that can enhance modern medical science. Such innovations simplify human interference in clinical diagnostic procedures, decision making, and medical imaging. To improve human health, connected biomedical network devices and software applications are interconnected to form the Internet of Medical Things (IoMT), the next generation of bioanalytical tools. This review paper provides in-depth analysis of the IoMT encasing its definition, technologies, applications, challenges, and future prospects.

关键词： Deep learning Technological innovation Reviews Smart healthcare Internet of Medical Things Software sensor systems sensors Security Medical diagnostic imaging

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Improved Elliptic Curve Digital Signature Algorithm in Wireless sensor Networks 9

Improved Elliptic Curve Digital Signature Algorithm in Wirel...

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9th IEEE international conference on Reliability, Infocom technologies and Optimization (Trends and Future Directions), ICRITO 2021

作者： Kumar, Aditya Kaur, Bhupinder Lovely Professional University Computer Science and Engineering Punjab Phagwara India

ISBN: (纸本)9781665417037

The Wireless sensor Network (WSN) has an evolving technology and is able to be used in critical situation such as commercial applications like traffic surveillance, buildings, smart homes and habitat monitoring, etc. One of the biggest challenges today for wireless sensor networks is security. Wireless sensor Networks (WSN) security models required the following services like integrity and authentication and confidentiality. A well-designed cryptographic algorithm is the secret to developing a riskless WSN scheme in order to fulfil the requirement for sensor nodes with less resource and low power consumption. Public-key cryptography algorithm, namely elliptical curve cryptography (ECC) elliptic curve digital signature algorithm (ECDSA), have attracted interest from the many researchers in various institutions because of the security and high performance of these algorithms. Algorithms based on the elliptical curve (EC) have proved computationally efficient and provide more security in comparison to traditional crypto-algorithms in the specified key size. ECDSA is first successful ECC- based algorithm. This paper includes descriptions of ECDSA using the SHA-l. We analyse and propose a improve ECDSA algorithm. The main objective of this improved algorithm is to be provide more security as compared to previous algorithm. © 2021 IEEE.

关键词： Public key cryptography

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Harvesting performance of a planar thermoelectric microgenerator with a compact design 20

Harvesting performance of a planar thermoelectric microgener...

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20th international conference on Micro and Nanotechnology for Power Generation and Energy Conversion applications (PowerMEMS)

作者： Estrada-Wiese, Denise Sojo, Jose-Manuel Salleras, Marc Santander, Joaquin Fernandez-Regulez, Marta Martin-Fernandez, Inigo Morata, Alex Fonseca, Luis Tarancon, Albert Inst Microelect Barcelona IMB CNM CSIC Microenergy Sources & Sensor Integrat Grp Barcelona Spain Catalonia Inst Energy Res IREC Dept Adv Mat Energy Applicat Barcelona Spain

ISBN: (纸本)9781665422185

In Internet of Things (IoT) systems millions of interconnected devices, each with multiple sensors, demand for sustainable and long term autonomous energy sources. Thermoelectricity offers an alternative to primary batteries for powering sensor nodes with energy harvesting solutions like waste heat recovery. In many of these scenarios, small size and large volume technologies are a request. While standard thermoelectric technologies are not viable for such applications due to their incompatibility with miniaturization and the use of scarce and toxic materials, planar thermoelectric microgenerators offer an advantageous solution. By micromachining and nanostructuring silicon, downsizing thermoelectric microgenerators is possible with an environmentally safe and cost effective approach. In the past, single micro-thermocouples based on mature silicon microfabrication technology combined with the integration of Si or SiGe nanowires as thermoelectric material were fabricated in our group producing power densities of several tens of nW/cm(2). In this work, we report a new compact design featuring a high integration density of up to 50 series connected micro-thermocouples in a small footprint chip of 0.5 cm(2) to increase the generated power. The devices were characterized mimicking a low-grade waste heat environment under natural and forced convection conditions. For an available heat source at 250 degrees C, power densities of 316 nW/cm(2) under natural convection and up to 4.2 mu W/cm(2) under forced convection conditions have been achieved.

关键词： Thermoelectric microgenerator MEMS Si and SiGe nanowires Internet of Things energy harvesting Si technology

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Obstacle Detection and Avoidance in Self-Driving Carsusing LIDAR and Vision-Based Algorithms

Obstacle Detection and Avoidance in Self-Driving Carsusing L...

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Frontier technologies and Solutions (ICFTS), international conference on

作者： A. Sujin Jose Mohammad Bdair Preetish Kakkar T Praveena S. Thenappan S Lalitha Department of Automobile Engg New Horizon College of Engineering Bangalore India School of Architecture Computing & Engineering University of East London London UK IEEE Senior Member Delhi India Department of Mechatronics Engineering SRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331502768

ISBN: (纸本)9798331502775

Existing algorithms do not generalize well to the Light Detection and Ranging (LIDAR) and camera modality when trained to detect cars with a vision-based algorithm, or vice versa when LIDAR is used as a separate sensor. These systems would fail in severe conditions such as low lighting and inclement weather. Itpresents a system that combines Lidar and vision-based data utilizing sensor fusion to enable Lidar's depth perception capabilities and vision-based algorithms for encompassing object recognition tasks. Such technology increases obstacle detection, object classification, and real-time decision making to provide a safer autonomous navigation system. It combines Kalman Filtering, convolutional neural network (CNN) for object detection, density-based spatial clustering of applications with noise (DBSCAN) for LIDAR data clustering, support vector machine (SVM) for classification, and predictive path planning. The results demonstrate the following improvements: 96.5% detection accuracy, 1.5% false positive rate, and 0.2% collision rate. It is more robust and outperforms existing systems in real-world situations such as bad illumination, severe weather, and complex traffic scenarios.

关键词： Support vector machines Laser radar Decision making Lighting sensor fusion Real-time systems Path planning Classification algorithms Convolutional neural networks Meteorology

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Localization through RGB-D Camera for the Quad-rotor

Localization through RGB-D Camera for the Quad-rotor

引用

international conference on Computing and Networking Technology (ICCNT)

作者： Vidit Datt Prabhakar Vijay Kumar Pandey Anuj Kumar Sharma Tushar Sandhan Department of Mechatronics Centre for Advanced Studies AKTU Lucknow India Department of Electrical Engineering Indian Institute of Technology Kanpur India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

This paper presents a thorough investigation into the implementation of a localization system using a RGB-D camera that prioritizes computational efficiency. The study focuses on utilizing the Oak D Pro depth camera, which includes an in-built Inertial Measurement Unit. Visual Odometry is used to estimate the camera pose which is lighter in computation than other algorithms like Simultaneous Localization and Mapping. The IMU is used to obtain the camera pose due to the presence of drift during the camera’s fast motion. The readings are fused together to get the correct camera pose by employing the Extended Kalman Filter for sensor fusion, achieving seamless integration of VO and IMU. This research explores the adaptation of Visual Inertial Odometry system for an autonomous Unmanned Aerial Vehicles applications, specifically for a quad-rotor/drone.

关键词： Location awareness Visualization Measurement units Simultaneous localization and mapping Inertial navigation sensor fusion Cameras Kalman filters Odometry Visual odometry

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A Colour-Focused Visible and Infrared Image Fusion Framework for Aiding Human Perception

A Colour-Focused Visible and Infrared Image Fusion Framework...

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IEEE international conference on Electronics, Computing and Communication technologies (CONECCT)

作者： Nithin Eswarappa Shefali Waldekar Jeevan K. M. Bikram Kumar Vivek Koshy George Department of EECE Gandhi Institute of Technology and Management (GITAM) Bangalore India Department of ECE Nirma University Ahmedabad India

ISBN: (数字)9798350385922

ISBN: (纸本)9798350385939

Image fusion methods are required when images from the same or different sensors are available. In several applications, photographs from a colour camera are often fused with thermal infrared (medium-wave or long-wave) images. This paper focuses on those applications (typically security and surveillance) wherein the fused images are used by a human operator who will, in turn, make critical decisions. This paper presents two frameworks for fusing colour and infrared images, one in the red-green-blue (RGB) colour space and the other in lightness-chroma-hue (LCH) colour space. We compare qualitatively and quantitatively the performance of five existing fusion methods that work best in this scenario. The study is carried out across two datasets. Quantitatively, four existing metrics are used to analyse the performance. In addition, this paper proposes a performance metric that appeals to human perception and measures how well colour, edge, and contrast information are transferred to the fused image.

关键词： Measurement Image sensors Image color analysis Image edge detection Surveillance sensor fusion Communications technology

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Design and Implementation of Battery Management And Wireless Charging in Electric Vehicles Using IoT

Design and Implementation of Battery Management And Wireless...

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international conference on Communications and Signal Processing

作者： S Manikandan S Shyam Sundar K Kumaran Mariammal Thirumeni Department of Electronics And Communication Engineering Rajalakshmi Engineering College Chennai India

ISBN: (数字)9798350353068

ISBN: (纸本)9798350353075

The widespread adoption of electric vehicles (EVs) hinges on efficient battery management and convenient charging solutions. This paper presents the design and implementation of an IoT-based battery management system (BMS) integrated with wireless charging technology for EVs. The proposed system leverages sensor data acquisition, real-time monitoring, and cloud connectivity to ensure optimal battery health, extend lifespan, and enhance user experience. Wireless charging offers added convenience and eliminates cable handling, further improving charging experience. This paper details the hardware architecture, software development, and key features of the system, followed by an evaluation of its performance and discussion of potential applications. objects to be connected via the internet, bringing the world to the user’s fingertips. Motivated by the aforementioned issues, this paper proposes the design and development of a wireless EV charging and battery monitoring system utilizing IoT technologies.

关键词： Wireless communication Wireless sensor networks Inductive charging Battery management systems Signal processing User experience Software

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