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

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Internet of Things-Based Remote Weather Forecasting System Using Legacy sensors

Internet of Things-Based Remote Weather Forecasting System U...

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International conference on advanced Computing and Communication systems (ICACCS)

作者： Nalavala Partheswar Reddy Shaik Khaja Hassain P Baraneedharan Shaik Abdul Rahman Department of Electronics and Communication Engineering Saveetha Engineering College Chennai India

Due to the rapid changes in the Earth’s climate, reliable weather forecasting is becoming increasingly challenging. Therefore, Weather Monitoring systems are utilized to monitor the ever-changing weather patterns. The data gathered by such devices is used to forecast weather as well as keep a log of the environmental changes at a place. Such data is extremely useful in the study of earth and analyzing the changing climatic and environmental conditions at a place. Further, the data and analytics so collected can be utilized in a variety of applications like agriculture, geology, mining, and weather forecast. This paper describes an innovative method for monitoring the weather and making the findings of such monitoring accessible to individuals in other areas of the world. This is made possible by a technology known as the "Internet of Things", which is a highly developed and efficient method of connecting physical objects to the internet and connecting everything in the world to a single network. The proposed system uses the temperature, pressure, and rain sensors to monitor the ambient conditions of weather. The sensed information is then transmitted to a server for data logging, which logs and represents the collected sensor data. The updated information from the current system is available online and viewed using user interface. When compared to existing weather monitoring system, the proposed method includes data logging facility to view the information accurately using IoT technology.

关键词： Temperature sensors Temperature measurement Weather forecasting sensor phenomena and characterization User interfaces sensor systems Real-time systems

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A high-accuracy, low-budget sensor Glove for Trajectory Model Learning 20

A high-accuracy, low-budget Sensor Glove for Trajectory Mode...

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20th International conference on advanced Robotics, ICAR 2021

作者： Denz, Robin Demirci, Rabia Cansev, M. Ege Bliek, Adna Beckerle, Philipp Rueckert, Elmar Rottmann, Nils Institute For Robotics and Cognitive Systems University of Luebeck Luebeck23562 Germany Chair of Autonomous Systems and Mechatronics Friedrich-Alexander-University Department of Electrical Engineering Erlangen-Nürnberg Germany Chair of Cyber-Physical-Systems Montanuniversität Leoben Leoben Austria

ISBN: (纸本)9781665436847

sensor gloves are gaining importance in tracking hand and finger movements in virtual reality applications as well as in scientific research. They introduce an unrestricted way of capturing motion without the dependence on direct line of sight as for visual tracking systems. With such sensor gloves, data of complex motion tasks can be recorded and used for modeling probabilistic trajectories or teleoperation of robotic arms. While a multitude of sensor glove designs relying on different functional principles exist, these approaches require either sensitive calibration and sensor fusion methods or complex manufacturing processes. In this paper, we propose a low-budget, yet accurate sensor glove system that uses flex sensors for fast and efficient motion tracking. We evaluate the performance of our sensor glove, such as accuracy and latency, and demonstrate the functionality by recording motion data for learning probabilistic movement models. © 2021 IEEE.

关键词： Budget control

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Current Status of Micro/Nanosensors and Their Potential Applicability to the Prevention and Early Detection of Forest Fires

Current Status of Micro/Nanosensors and Their Potential Appl...

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Experiment@ International conference (exp.at)

作者： Esther Hontañón Consejo Superior de Investigaciones Científicas Madrid Spain

ISBN: (数字)9798350314403

ISBN: (纸本)9798350314410

The progress in the development of high-performance advanced materials and cost-effective manufacturing technologies is paving the way for large-scale, low-cost fabrication of miniaturized sensors for meteorological and environmental monitoring applications. This paper reviews sensors based on microelectromechanical systems (MEMS) and nanotechnology with great potential for use in wireless sensor networks (WSN) aimed at the prevention and early-stage detection of wildfires.

关键词： Micromechanical devices Microelectromechanical systems Fabrication Wireless sensor networks Wildfires Reviews Forestry

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Field testing of low-cost particulate matter sensors for Digital Twin applications in nanomanufacturing processes 8

Field testing of low-cost particulate matter sensors for Dig...

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8th Nanosafe International conference on Health and Safety Issues Related to Nanomaterials for a Socially Responsible Approach, NANOSAFE 2023

作者： Lopez de Ipiña, Jesus M. Lopez, Alberto Gazulla, Alejandro Aznar, Gabriel Belosi, Franco Koivisto, Joonas Seddon, Richard Duralek, Pawel Vavouliotis, Antonios Koutsoukis, Grigorios Lopez de Ipiña, Karmele Florez, Sonia Costa, Anna TECNALIA BRTA Miñano01510 Spain TECNALIA BRTA Zaragoza50018 Spain Consiglio Nazionale delle Ricerche - ISAC Bologna40129 Italy Air Pollution Management APM Tampere33610 Finland TECNALIA BRTA Donostia-San Sebastian20009 Spain TMBK Partners Sp. z o.o. Warsaw02106 Poland Adamant Composites Ltd Patras26504 Greece University of Cambridge CambridgeCB2 3PT United Kingdom University of the Basque Country UPV/EHU Donostia-San Sebastian20018 Spain Consiglio Nazionale delle Ricerche - ISSMC Faenza48018 Italy

The EU-project ASINA is testing Low-Cost Particulate Matter sensors (LCPMS) for industrial monitoring of the concentration of airborne particles, with the purpose of integrating this sensor technology within the data collection layer of Digital Twins (DTs) for manufacturing. This paper shows the results of field performance evaluations carried out with five LCPMS from different manufacturers (Alphasense OPC-N3, Plantower 9003, Sensirion SPS30, Sensirion SEN55 and Tera sensor NetxPM), during several field sampling campaigns, conducted in four pre-commercial and commercial pilot lines (PLs) that manufacture nano-enabled products, belonging to the ASINA and OASIS H2020 EU-projects [2, 28]. Field tests consisted of deploying LCPMS in manufacturing process, measuring in parallel with collocated reference and informative instruments (OPS TSI 3330/CPC TSI 3007), to enable intercomparison. The results show the complexity and differential response of the LCPMS depending on the characteristics of the monitored scenario (PL). Overall, they exhibit uneven precision and linearity and significant bias, so their use in industrial digital systems without proper calibration can lead to uncertain and biased measurements. In this sense, simple linear models are not able to capture the complexity of the problem (non-linear systems) and advanced calibration schemes (e.g. based on machine learning), applied "scenario by scenario" and in operating conditions as close as possible to the final application, are suggested to achieve reliable measurements with the LCPMS. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Linear systems

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Collection of Correlated Information from Superimposed Multiple Chirp Signals

Collection of Correlated Information from Superimposed Multi...

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Asia-Pacific Signal and Information Processing Association Annual Summit and conference (APSIPA)

作者： Koki Aoyama Koichi Adachi Advanced Wireless and Communication Research Center The University of Electro-Communications Tokyo Japan

ISBN: (数字)9798350367331

ISBN: (纸本)9798350367348

Wireless sensor Networks (WSNs) based on Long-Range Wide Area Networks (LoRaWAN) are being used in various applications. In WSNs, in addition to periodic packet transmission, sensor nodes transmit packets when they detect an event. This action enables real-time information aggregation. When multiple sensor nodes detect an event at the same time, they send signals simultaneously, which may result in signal collisions at the receiver. This paper proposes a symbol detection method that allows information aggregation even when receiving superimposed chirp signals. Furthermore, this paper introduces an event source estimation method as a use case for collecting aggregate correlated information. Computer simulations show that the proposed method increases the probability of achieving the absolute source estimation error of 10 [deg.] by 11 points compared to conventional methods.

关键词： Wide area networks Wireless sensor networks Accuracy Smoothing methods Chirp Computer simulation Symbols Receivers Probability Real-time systems

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Platform to Test and Evaluate Human-in-the-Loop Telemanipulation Schemes for Autonomous Unmanned Aerial systems

Platform to Test and Evaluate Human-in-the-Loop Telemanipula...

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IEEE/ASME International conference on Mechtronic and Embedded systems and applications, MESA

作者： Kaya Kuru Sam Worthington Darren Ansell John Michael Pinder Benjamin Watkinson David Jones Claire Tinker-Mill School of Engineering and Computing University of Central Lancashire Preston UK Worthington Sharpe Ltd. Preston UK

ISBN: (数字)9798331516239

ISBN: (纸本)9798331516246

In recent years, remote multi-agent human-robot communication and remote agent telemanipulation have thrived considerably in line with the rise of autonomy since Tesla‘s invention of the "distant operator" with a patent (US613809A) in 1898 for controlling wireless drones remotely. As a result of taking on more and more tasks that require decision-making skills, vehicles are becoming more and more automated using intelligent control systems that are getting better with advanced sensors and actuators using AI. While the ultimate goal of these systems is full autonomy, it may take years/decades to make these systems thoroughly integrated into mixed traffic due to the varying expectations of stakeholders and their level of trust in autonomous vehicles (AVs). To expedite this integration and consequently exploit the benefits of these automated systems, in all future scenarios of fully autonomous ground or air vehicle networks, human intervention is expected to take place in the form of "human-in-the-loop (HITL)" remote immediate involvement. In this direction, a scalable agent-based platform was designed for the telemanipulation of autonomous unmanned aerial vehicles (A-UAVs) from the perspective of human-multi-robot architecture by which various HITL telemanipulation schemes can be tested, evaluated and improved. This report explains the design and infrastructure of this platform with its fundamental components.

关键词： Wireless communication Wireless sensor networks Technological innovation Patents Mechatronics Human in the loop sensor systems Stakeholders Intelligent sensors Intelligent control

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Implementation of an IoT Based Intrusion Detection System for Smart City applications

Implementation of an IoT Based Intrusion Detection System fo...

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Computational Intelligence for Green and Sustainable Technologies (ICCIGST), International conference on

作者： K Lova Raju K Nishith Sai Sesha Kumar Pj Reginald D Sobha Department of Electronics and Communication Engineering Vignan’s Foundation for Science Technology and Research Vadlamudi Guntur Andhra Pradesh India Department of Advanced Computer Science and Engineering Vignan’s Foundation for Science Technology and Research Vadlamudi Guntur Andhra Pradesh India

ISBN: (数字)9798350381887

ISBN: (纸本)9798350381894

The occurrence of intrusions in smart cities has made the development of an inexpensive and effective intrusion detection system essential. Intrusion remains one of the most important aspects of smart city applications like homes, hospitals, transport, etc. Most of the existing systems employ focus only on one particular application like home security, not portable systems, and also use cameras only for surveillance. Therefore, taking into account the aforementioned drawbacks, this paper presents an intrusion system for smart city applications, leveraging Internet of Things (IoT) technology. The proposed system uses hardware components like Raspberry Pi model B+, Pi Camera, and PIR sensor (Passive Infrared) as well as software components like VNC viewer (Virtual Network Computing) and Thonny Python IDE (Integrated Development Environment). Motion detection is facilitated by the utilization of the PIR sensor, then the Pi Camera photographs the image automatically, and the Raspberry Pi device will send an alert via email to end-user devices that are connected with the email such as personal computers or smartphones. The captured data is securely stored in the email of the end-user’s devices, ensuring confidentiality and privacy.

关键词： Smart cities Hospitals Surveillance Intrusion detection Cameras Software Electronic mail Internet of Things Smart phones Python

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Feasibility assessment of an optical sensor for long-term electrocardiogram monitoring 11

Feasibility assessment of an optical sensor for long-term el...

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conference on advanced sensor systems and applications XI

作者： Zhao, Jing Li, Mingwei Wang, Qi Zhang, Hongxia Liu, Tiegen Jia, Dagong Tianjin Univ Coll Precis Instrument & Optoelect Engn Key Lab Optoelect Informat Technol Minist Educ Tianjin 300072 Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

Cardiovascular disease is a major risk to human health, which needs long-term monitoring for prevention and early diagnosis. Optical sensors present the advantage of immunity to electromagnetic field and high sensitivity, and have been growing in a variety of emerging medical applications to monitor human cardiac parameters. Most of the current optical sensors can only measure limited cardiovascular information such as the heart rate, therefore, the optics-based approach for cardiac electrophysiology has attracted the attention of more researchers. In this paper, we developed a method to evaluate the availability of our proposed anti-EMI optical sensor. The sensitivity of optical sensor based on electro-optic modulation can achieve 266.4 mu W/V and detect the electrocardiogram (ECG) by attached to the chest and edge of clavicle. A series of ECG signals over 1 hour were analyzed using proposed method, which is driven by the optimization of R-peak location, Lorenz plot and statistical correlation. ECG monitoring results of the optical sensors are in accordance with a standard clinical device (SOMNOtouch (TM) RESP) among different subjects. Moreover, both the sensors are tested in daily electromagnetic conditions, and it causes some obvious signal artifacts to the SOMNO system, but almost no effect on the optical sensors during the long-term test. We provide further grounds for such clinical applications by demonstrating, for the first time to our knowledge, optics-based device used in long-term ECG monitoring, an essential tool in modern cardiac monitoring applications.

关键词： Optical sensors Electro-optic modulation Long-term ECG Monitoring

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Design, Fabrication, and Characterisation of a Novel Piezoimpedal Tactile sensor for use in Soft-Prosthetic Devices

Design, Fabrication, and Characterisation of a Novel Piezoim...

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IEEE/ASME (AIM) International conference on advanced Intelligent Mechatronics

作者： Thomas Searle Vitor Sencadas Gursel Alici Applied Mechatronics and Biomedical Engineering Research (AMBER) Group School of Mechanical Materials Mechatronic and Biomedical Engineering ARC Centre of Excellence for Electromaterials Science University of Wollongong New South Wales Australia Materials and Ceramic Engineering Department CICECO- Aveiro Institute of Materials University of Aveiro Aveiro Portugal

Enabling the robotic ability to sense tactile interactions is a complex and interdisciplinary challenge, as traditional pressure sensors made of hard and rigid materials struggle to replicate the soft and compliant interactions of mammalian somatosensory networks. This study investigates a novel matrixed contact sensor designed for use in soft robotics and biomedical prosthesis applications. The sensor is a coupled piezocapacitive-piezoresistive tactile sensor, optimized for scalability over various mechanical stimuli, including touch, pressure, bend, stretch, and proximity. By modifying the bulk geometry to include dielectric artifacts and integrating electroactive elastomeric composites, the soft and flexible sensor is fully mechanically compliant and conforms to skin behavior. The sensor has a maximum sensitivity of 0.028kPa -1 , a resolution of 1.3%, and a bandwidth of 29Hz. The study characterizes the sensor's performance and identifies its static and dynamic response to aid in developing complex, closed-loop tactile feedback control systems toward realizing the biomimetic implementation of synthetic skin in soft-prosthetic devices.

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The BOHEMIAN Project: Versatile Hybrid in-Fiber Optical-Electrochemical systems for Widely Applicable Biosensing

The BOHEMIAN Project: Versatile Hybrid in-Fiber Optical-Elec...

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Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), IEEE International conference on

作者： Bruno Andò Mattia Manenti Danilo Greco Maria Rachele Guascito Giuseppe Lamberti Laura Martina Francesco Arcadio Luigi Zeni Nunzio Cennamo Cosimo Trono Sara Tombelli Simone Berneschi Niccolò Marcucci Laura Pasquardini DIEEI University of Catania Catania Italy DiSTeBA University of Salento Lecce Italy Dep. of Mathematics and Physics Ennio De Giorgi University of Salento Lecce Italy Dep. of Engineering University of Campania L. Vanvitelli Aversa Italy Istituto di Fisica Applicata “Nella Carrara” CNR-IFAC Firenze Italy Indivenire srl Trento Italy

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

Thereis a growing interest in the development of advanced chemical and biochemical detection methodologies enabling applications in the agri-food, environmental and healthcare sectors. This paper reports the main tasks accomplished in this field by the BOHEMIAN project. The project aims to develop an integrated sensing device implementing different detection methodologies for biosensing, such as electrochemical, capacitive and optical. In particular, exploiting features of the above sensing strategies, the following two solutions will be investigated by using aptamers as bioreceptors: a “hybrid opto-electrochemical intrinsic fiber sensor” and a “opto-capacitive sensor”.

关键词： Optical fibers Integrated optics Optical fiber sensors Biomedical optical imaging Neural engineering Metrology sensor systems Optical design techniques Optical coupling Biosensors

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