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

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System Architecture for a Wireless sensor Network for Sustainable Agriculture, Forestry and Green Spaces in Smart Cities

System Architecture for a Wireless Sensor Network for Sustai...

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IEEE International Workshop on Intelligent Data Acquisition and advanced Computing systems: Technology and applications

作者： Sebastian Rosewick Felix Schorlemer Frank Kunemund Department of Computer Science Fachhochschule Dortmund

This paper presents a wireless sensor network employing heterogeneous mobile robot platforms designed for data-acquisition and research in agriculture, forestry and green spaces in smart cities. Where conventional sensor networks struggle with a lack in flexibility, little variation in their reading points and no possibilities in mobile manipulation, this approach offers new capabilities in accomplishing complex tasks in outdoor and indoor scenarios. A wheel driven robot platform in combination with multiple UAVs 1 1 Unmanned Aerial Vehicle forms the basis for the mobile sensor network which can make use of a wide variety of sensors and actuators. The system benefits from new developments in controlling multi-agent systems as well as machine-learning-algorithms for local and independent data-analysis.

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Wireless Body Area Network (WBAN) Centric Healthcare System for Continuous Monitoring 9

Wireless Body Area Network (WBAN) Centric Healthcare System ...

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9th International conference on advanced Computing and Communication systems, ICACCS 2023

作者： Kumar, M. Anand Valli Mayil, V. Jeyalakshmi, T. Ratha Ghanshala, Anshul Gupta, Anshika Graphic Era University Dept of Computer Applications Dehradun India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh India Jain University School of Sciences Department of Data Science Banglore India The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong Hong Kong

ISBN: (纸本)9798350397376

Stroke is one the most dangerous disease all across the world which would lead to serious disability or death among all aged people due to changes in environmental factors. Recent reports indicate that a mere 75 million people will suffer from stroke-related disabilities by the year 2030. It was also identified that a stroke occurs every 40 seconds on average across the globe. One out of every five stroke-related patients would die in a year. A Recent health survey indicates that most developed countries face a high number of stroke patients in very recent years. There is also a rapid growth in the number of stroke cases in developing countries. To prevent the high-risk factors related to stroke diseases, there is much need for continuous observation of physiological signals in real-time and to analyze the data. One of the main strategies is wearable technology that employs wireless sensor networks to link numerous medical devices and associated systems. They have to ability to function independently across several platforms. Wearable devices are used in most medical applications because of their noteworthy qualities, including adaptability, versatility, inexpensiveness, and efficiency in various platforms. Integration of the Internet of Things (IoT) with wearable devices and Fog Computing provides a more flexible mechanism to deploy a continuous healthcare monitoring system to monitor vital symptoms and to detect the early phase of stroke factors instantly. To predict stroke-related disorders, this research proposes a Wireless Body Area Network (WBAN)-centric healthcare system for continuous monitoring and examination of physiological signals. Initially, the proposed model predicts the nature of the symptoms based on the parameters collected by the IoT sensors. Deep learning techniques are then applied to predict the risk factors that are critical to the stroke patient during the emergency condition. The key contribution of this research work is to provide an emerg

关键词： Internet of things

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Revolutionizing Connectivity and Data Processing in IoT Ecosystems through Edge Computing

Revolutionizing Connectivity and Data Processing in IoT Ecos...

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2024 IEEE International conference on Recent Advances in Science and Engineering Technology, ICRASET 2024

作者： Kumari, V. Sheeja Pillai, N. Muthuvairavan Jayarin, P.Jesu David, D. Beulah Jenin, J.S. Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Computational Intelligence Thandalam Tamil Nadu Chennai India R.M.D Engineering College Department of Computer Science and Business Systems Tamil Nadu Thiruvallur India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Information Technology Thandalam Tamil Nadu Chennai India Care College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Trichy India

ISBN: (纸本)9798350388602

This work, which explores the performance of the existing five IoT sensor classification algorithms and develops five more algorithms, intends to later compare the obtained classification accuracies. In this evaluation, the algorithms included are Decision Tree, Random Forest, K-Nearest Neighbors, Support Vector Machine, and Naive Bayes, while the proposed ones are called EdgeNet, IoTBoost, EdgeSVM, DeepEdge, and EdgeFusionNet. The performances are evaluated using the key measures of precision and processing time. Results show that the algorithms under study are usually more accurate than well-known ones, with EdgeFusionNet reaching 94% accuracy which is the highest accuracy. In the selection of algorithms, existing ones show different performance but the Decision Tree and Naive Bayes demonstrate relatively faster processing times compared to the Random Forest and the Support Vector Machine. Yet, the proposed EdgeSVM algorithm shows almost the fastest processing time which exceeds Zokfl2 and other algorithms onference. On top of that, extra measures comprise memory usage, energy efficiency, scalability, model size, and robustness are evaluated for the suggested algorithms. Thus, the results may be inferred that the suggested algorithms provide the advanced solutions for the IoT sensor data classification, that have higher accuracy and comparable or better time complexity in comparison with the existing ones. These outcomes give useful information for researchers as well as technicians that using IoT techniques for the sake of various applications purposes. © 2024 IEEE.

关键词： Support vector machines

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Programmable Mixed Signal Front-End for sensor applications 16

Programmable Mixed Signal Front-End for Sensor Applications

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16th IEEE International conference on advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2022

作者： Holyaka, Roman Barylo, Gryhoriy Marusenkova, Tetyana Khilchuk, Mykola Boyko, Oksana Lviv Polytechnic National University Department of Electronics and Information Technology Lviv Ukraine Lviv Polytechnic National University Department of Electronic Devices Lviv Ukraine Lviv Polytechnic National University Department of Software Lviv Ukraine Danylo Halytsky Lviv National Medical University Department of Medical Informatics Lviv Ukraine

ISBN: (纸本)9781665468619

This work presents main approaches to developing a programmable mixed-signal front-end for sensor electronics based on signal transimpedance amplification and integration. In accordance to Internet of Things concept requirements a Programmable System on Chip PSoC 5LP is used for mixed-signal front-end implementation. In comparison to the basic transimpedance amplification and integration circuits, the output voltage of new solution is modulated over the whole voltage range of the power supply. As a result, the enhanced resolution and accuracy of further analog-to-digital conversion are obtained. Simulation and experimental results of parameters investigations have been presented. © 2022 IEEE.

关键词： Embedded systems

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Cryogenic Fluid In-Situ Liquefaction for Landers: Prototype Demonstration

Cryogenic Fluid In-Situ Liquefaction for Landers: Prototype ...

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Accelerating Space Commerce, Exploration, and New Discovery conference, ASCEND 2023

作者： Johnson, Wesley L. Grotenrath, Ryan J. Balasubramaniam, Ramaswamy Chan, Hon Mon Smith, James W. Giddens, Patrick A. Fluid and Cryogenic Systems Branch NASA Glenn Research Center ClevelandOH44135 United States Low Gravity Exploration Technology Branch Case Western Reserve University NASA Glenn Research Center ClevelandOH44135 United States Advanced Systems Development Branch NASA Armstrong Flight Research Center EdwardsCA44135 United States Propulsion Research and Technology Branch NASA Marshall Space Flight Center HuntsvilleAL35812 United States

ISBN: (数字)9781624107054

ISBN: (纸本)9781624107054

As the advancement of In-Situ Resource Utilization concepts and systems continue to develop, applicable technology development and maturation continues in parallel. While there are many different ways to use the resources found on other bodies, one of the most prevalent suggested applications is the manufacturing of propellants. One of the key technologies for the eventual use of these propellant production based ISRU systems is the liquefaction and storage of the produced propellants. The most mentioned propellant combinations include oxygen-hydrogen and oxygen-methane. The liquefaction of oxygen in these systems will be different than that on Earth, which mainly revolves around the distillation of air. These systems have been developed conceptually and many of the components have been previously tested or are in development. However, the need to demonstrate the system level operations still exists. The demonstration of a prototypical oxygen liquefaction system using tube-on-tank broad area cooling was completed to better understanding system level operations during liquefaction activities. Demonstration testing included system performance determination, constant liquefaction demonstrations, and transient liquefaction demonstrations. The demonstrations showed the operational capabilities of the tube-on-tank system with an integrated cryocooler. Additional testing explored subsurface vs ullage introduction of the gaseous oxygen flow stream as well as demonstrating a novel fiber optic sensor that measured the temperature gradients along the fluid center line within the tank. © 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Demonstrations

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Next step in power MOSFET evolution boosts application efficiency

Next step in power MOSFET evolution boosts application effic...

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Annual IEEE conference on Applied Power Electronics conference and Exposition (APEC)

作者： Ralf Siemieniec Simone Mazzer Elvir Kahrimanovic David Laforet Michael Hutzler Elias Pree Laszlo Juhasz Alessandro Ferrara Kapil Kelkar Power and Sensor Systems Infineon Technologies Austria AG Villach Austria Power and Sensor Systems Infineon Technologies Americas Corp. El Segundo CA USA

This work introduces the characteristics and properties of the latest trench MOSFET technology released to the market. Based on the advantages of a revolutionary new cell design combined with the benefits of an advanced manufacturing technology, this new device family brings together the benefits of exceptionally low conduction losses, superior switching performances, improved SOA and good ruggedness. Typical applications for these MOSFETs include telecom, server, datacom as well as solar applications, motor drives, drones, e-bikes, power tools and many other battery-powered applications. Application tests using the new devices reveal clear efficiency improvements.

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Loosely-vs. Tightly-coupled incorporation of nonlinear measurements in tracking applications 62

Loosely-vs. Tightly-coupled incorporation of nonlinear measu...

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62nd Israel Annual conference on Aerospace Sciences, IACAS 2023

作者： Hackmon, Shlomi Sigalov, Daniel Rafael-Advanced Defense Systems Israel

We consider the problem of tracking a single target using a set of sensors with nonlinear measurement models. Two options for utilizing the measurements are addressed. First, is the direct utilization of raw sensor data using a nonlinear fil-Ter such as the Extended Kalman filter (EKF). The second option is based on the conversion of the set of nonlinear observations to a single cartesian measurement and subsequent application of a linear Kalman filter or related algorithm. Nat-urally, both approaches involve approximations. In the former case, there is the inherent approximation of the EKF mechanism. The nonlinearities in the measure-ment model are tackled by the means of linearization about the latest estimate. On the contrary, in the second approach a nonlinear optimization problem needs to be solved and, typically, it can be solved only approximately. Moveover, usually, the measurement noise covariance can not be analytically transformed through a nonlinear function. Thus, in practical cases, it is not a-priori clear which of the two approaches is preferable. We borrow the terminology from the navigation domain, and refer to direct processing of the raw sensor measurements by a nonlinear algo-rithm (mostly EKF) as the tighly coupled (TC) architecture. On the contrary, the setup in which a linear filter is preceded by a nonlinear transformation of the raw data into an effective Cartesian measurement, will be called loosely coupled (LC). In this work we compare, through a numerical study, the TC and LC approaches in a few multisensor scenarios involving nonlinear measurement models, and identify whether one of the approaches should be preferred over its counterpart. © IACAS 2023. All rights reserved.

关键词： Extended Kalman filters

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Software and Hardware Cooperative Implementation of the Rafflesia Optimization Algorithm 5th

Software and Hardware Cooperative Implementation of the R...

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5th International conference on Smart Vehicular Technology, Transportation, Communication and applications, VTCA 2022

作者： Fu, Zonglin Pan, Jeng-Shyang Guo, Yundong Snášel, Václav College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava Ostrava70032 Czech Republic

ISBN: (纸本)9789819908479

With the development of edge technology in the fields of transportation, wireless sensor networks, and the internet of things, more and more intelligent optimization algorithms are implemented in hardware structures. The Rafflesia optimization algorithm (ROA) is a novel intelligent optimization algorithm proposed recently. To observe its performance on hardware, this paper implements the ROA algorithm in a cooperative way of software and hardware, referred to as the FROA algorithm. To convenient testing and accelerated computing, the initialization module, fitness module, and update module of the FROA algorithm are deployed on the advanced RISC machine (ARM) platform and the field programmable gate array (FPGA) platform, respectively. In the experimental part, we test the FROA algorithm on nine different benchmark functions. The results are compared with those implemented in software. The experimental results demonstrate the effectiveness and superiority of the FROA algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

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Research on a Bipolar Structure Voltage sensor Based on Capacitive Coupling Principle

Research on a Bipolar Structure Voltage Sensor Based on Capa...

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advanced Electrical and Energy systems (AEES), International conference on

作者： Bofeng Luo Shijie Li Tianyu Hou Siyu Hu Chuyan Zhang China Southern Power Grid Company Limited Guangzhou China China University of Geosciences Beijing Beijing China

ISBN: (数字)9798331517724

ISBN: (纸本)9798331517731

This paper investigates a bipolar structure voltage sensor based on the principle of capacitive coupling. The non-contact voltage sensor, based on electric field coupling, offers advantages such as simple structure, excellent insulation performance, and fast response. A bipolar differential electrode structure was designed for the sensor, and by reducing the internal resistance of the voltage follower circuit, the measurement stability and accuracy were improved. Simulation and experimental results indicate that the sensor can effectively detect electric field variations in a uniformly distributed field and exhibits good linear response in both low-frequency and power-frequency signal measurements, showing great potential for future applications.

关键词： Couplings Resistance Voltage measurement Power measurement Accuracy Power system stability Frequency measurement Electrical resistance measurement Electric fields Transient analysis

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GelPixel: A Single-Pixel-Based Tactile sensor

GelPixel: A Single-Pixel-Based Tactile Sensor

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2023 IEEE International conference on Real-Time Computing and Robotics, RCAR 2023

作者： Huang, Binhua Li, Xiaoyu Sumari, Putra Ye, Chaoxiang Zhou, Zhenning Yin, Meng Yi, Zhengkun Wu, Xinyu Shenzhen Institute of Artificial Intelligence and Robotics for Society Siat Branch Shenzhen518055 China Universiti Sains Malaysia School of Computer Science 11800 Malaysia Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Shenzhen518055 China

ISBN: (纸本)9798350327182

In this paper, we present the design and development of a novel optical tactile sensor that uses a single-pixel color light-to-frequency converter (TCS3200) and spectral decoding to recognize presses at different positions. This innovative approach overcomes the limitations associated with camera-based sensors, such as increased manufacturing costs and shape restrictions, enabling potential integration as a skin-like layer over a robot's body. Our proposed direct light propagation structure demonstrates enhanced sensitivity and a broader measuring range compared to traditional reflection structures. Using Ecoflex as the elastomer, the sensor's design incorporates a three-layer structure, including an LED layer, an elastomer layer, and a color sensor layer. Experimental results demonstrate that the proposed sensor performs well in localization tasks, achieving over 95% accuracy using multi-target regression for rendering poked positions. This study demonstrates the potential of single-pixel-based tactile sensors in various applications and provides a foundation for further exploration in this area. © 2023 IEEE.

关键词： Tactile sensors

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