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Journal articles on the topic 'Sensor'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Yu, Jerry. "Deflation-activated receptors, not classical inflation-activated receptors, mediate the Hering-Breuer deflation reflex." Journal of Applied Physiology 121, no. 5 (2016): 1041–46. http://dx.doi.org/10.1152/japplphysiol.00903.2015.

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Many airway sensory units respond to both lung inflation and deflation. Whether those responses to opposite stimuli come from one sensor (one-sensor theory) or more than one sensor (multiple-sensor theory) is debatable. One-sensor theory is commonly presumed in the literature. This article proposes a multiple-sensor theory in which a sensory unit contains different sensors for sensing different forces. Two major types of mechanical sensors operate in the lung: inflation- and deflation-activated receptors (DARs). Inflation-activated sensors can be further divided into slowly adapting receptors

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Abbas, Jabbar, Amin Al-Habaibeh, and Dai Zhong Su. "Sensor Fusion for Condition Monitoring System of End Milling Operations." Key Engineering Materials 450 (November 2010): 267–70. http://dx.doi.org/10.4028/www.scientific.net/kem.450.267.

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This paper describes the utilisation of multi sensor fusion model using force, vibration, acoustic emission, strain and sound sensors for monitoring tool wear in end milling operations. The paper applies the ASPS approach (Automated Sensor and Signal Processing Selection) method for signal processing and sensor selection [1]. The sensory signals were processed using different signal processing methods to create a wide range of Sensory Characteristic Features (SCFs). The sensitivity of these SCFs to tool wear is investigated. The results indicate that the sensor fusion system is capable of dete

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Guo, Yixuan, and Gaoyang Liang. "Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research." Journal of Sensors 2021 (September 28, 2021): 1–12. http://dx.doi.org/10.1155/2021/3840103.

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With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of

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Hasegawa, Hiroaki, Yosuke Suzuki, Aiguo Ming, Masatoshi Ishikawa, and Makoto Shimojo. "Robot Hand Whose Fingertip Covered with Net-Shape Proximity Sensor - Moving Object Tracking Using Proximity Sensing -." Journal of Robotics and Mechatronics 23, no. 3 (2011): 328–37. http://dx.doi.org/10.20965/jrm.2011.p0328.

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Occlusion in several millimeters from an object to be grasped made it difficult for a vision-sensor-based approach to detect relative positioning between this object and robot fingers joint grasping. The proximity sensor we proposed detects the object at a near range very effectively. We developed a thin proximity sensor sheet to cover the 3 fingers of a robot hand. Integrating sensors and hand control, we implemented an objecttracking controller. Using proximity sensory signals, the controller coordinates wrist positioning based on palm proximity sensors and grasping from fingertip sensors, e

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Suranthiran, Sugathevan, and Suhada Jayasuriya. "Signal Conditioning With Memory-Less Nonlinear Sensors." Journal of Dynamic Systems, Measurement, and Control 126, no. 2 (2004): 284–93. http://dx.doi.org/10.1115/1.1766030.

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Proposed in this paper is an off-line signal conditioning scheme for memoryless nonlinear sensors. In most sensor designs, a linear input-output response is desired. However, nonlinearity is present in one form or another in almost all real sensors and therefore it is very difficult if not impossible to achieve a truly linear relationship. Often sensor nonlinearity is considered a disadvantage in sensory systems because it introduces distortion into the system. Due to the lack of efficient techniques to deal with the issues of sensor nonlinearity, primarily nonlinear sensors tend to be ignored

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Han, Yan. "The Building of Optical Fiber Network System Using Hetero-Core Fiber Optic Sensors." Advanced Materials Research 571 (September 2012): 342–46. http://dx.doi.org/10.4028/www.scientific.net/amr.571.342.

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We proposed a novel optical sensory nerve network using pulse switch sensors. The pulse switch sensor generates light loss similar to pulse signals only when ON/OFF states change. Therefore, it has less influence on communications quality compared with conventional switch sensor modules as sensor multiplicity increases. Our simulated results demonstrated that the proposed system can improve sensor multiplicity while maintaining the communications and measuring performance with the same quality as a conventional system by appropriately adjusting the initial loss of the pulse switch sensors. In

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Jalil Piran, Mohammad, Amjad Ali, and Doug Young Suh. "Fuzzy-Based Sensor Fusion for Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/439272.

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In wireless sensor networks, sensor fusion is employed to integrate the acquired data from diverse sensors to provide a unified interpretation. The best and most salient advantage of sensor fusion is to obtain high-level information in both statistical and definitive aspects, which cannot be attained by a single sensor. In this paper, we propose a novel sensor fusion technique based on fuzzy theory for our earlier proposed Cognitive Radio-based Vehicular Ad Hoc and Sensor Networks (CR-VASNET). In the proposed technique, we considered four input sensor readings (antecedents) and one output (con

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R, Keerthana, Lavanya S, Negaa Vaidheesvari M, Saranya B, and Yashini M. "Smart Walker Instrumentation Using Hand Gestures." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3891–95. http://dx.doi.org/10.22214/ijraset.2023.49316.

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Abstract: The passive walker devices currently in use may steer or brake spontaneously, requiring the user to urge them ahead. This project creates a smart walker system with sensors and actuators for enhanced support and assistance. Here, the user controls the walker with hand gestures. Better physical support, sensory support, cognitive support, health monitoring, and human-machine interface are the key benefits. The method incorporates gyroscopes that measure the angles of hand movements and start the smart walker moving in the user's chosen directions. The temperature sensor, EMG sensor an

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9

Yu, Jerry. "Spectrum of myelinated pulmonary afferents (III) cracking intermediate adapting receptors." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 319, no. 6 (2020): R724—R732. http://dx.doi.org/10.1152/ajpregu.00136.2020.

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Conventional one-sensor theory (one afferent fiber connects to a single sensor) categorizes the bronchopulmonary mechanosensors into the rapidly adapting receptors (RARs), slowly adapting receptors (SARs), or intermediate adapting receptors (IARs). RARs and SARs are known to sense the rate and magnitude of mechanical change, respectively; however, there is no agreement on what IARs sense. Some investigators believe that the three types of sensors are actually one group with similar but different properties and IARs operate within that group. Other investigators (majority) believe IARs overlap

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Chen, Tzung-Shi, Jen-Jee Chen, Xiang-You Gao, and Tzung-Cheng Chen. "Mobile Charging Strategy for Wireless Rechargeable Sensor Networks." Sensors 22, no. 1 (2022): 359. http://dx.doi.org/10.3390/s22010359.

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In a wireless sensor network, the sensing and data transmission for sensors will cause energy depletion, which will lead to the inability to complete the tasks. To solve this problem, wireless rechargeable sensor networks (WRSNs) have been developed to extend the lifetime of the entire network. In WRSNs, a mobile charging robot (MR) is responsible for wireless charging each sensor battery and collecting sensory data from the sensor simultaneously. Thereby, MR needs to traverse along a designed path for all sensors in the WRSNs. In this paper, dual-side charging strategies are proposed for MR t

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Hardman, David, Thomas George Thuruthel, Antonia Georgopoulou, Frank Clemens, and Fumiya Iida. "3D Printable Soft Sensory Fiber Networks for Robust and Complex Tactile Sensing." Micromachines 13, no. 9 (2022): 1540. http://dx.doi.org/10.3390/mi13091540.

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The human tactile system is composed of multi-functional mechanoreceptors distributed in an optimized manner. Having the ability to design and optimize multi-modal soft sensory systems can further enhance the capabilities of current soft robotic systems. This work presents a complete framework for the fabrication of soft sensory fiber networks for contact localization, using pellet-based 3D printing of piezoresistive elastomers to manufacture flexible sensory networks with precise and repeatable performances. Given a desirable soft sensor property, our methodology can design and fabricate opti

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Singh, Ravinder, and Kuldeep Singh Nagla. "Comparative analysis of range sensors for the robust autonomous navigation – a review." Sensor Review 40, no. 1 (2019): 17–41. http://dx.doi.org/10.1108/sr-01-2019-0029.

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Purpose The purpose of this research is to provide the necessarily and resourceful information regarding range sensors to select the best fit sensor for robust autonomous navigation. Autonomous navigation is an emerging segment in the field of mobile robot in which the mobile robot navigates in the environment with high level of autonomy by lacking human interactions. Sensor-based perception is a prevailing aspect in the autonomous navigation of mobile robot along with localization and path planning. Various range sensors are used to get the efficient perception of the environment, but selecti

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Chen, D., X. Zhang, N. Chen, J. Yang, and J. Gong. "GEOSPATIAL SENSOR WEB ADAPTOR FOR INTEGRATING DIVERSE INTERNET OF THINGS PROTOCOLS WITHIN SMART CITY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 115–21. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-115-2020.

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Abstract. In recent years, the multi-scale comprehensive perception is central to smart city development. We propose an "adaptor" for geospatial sensor web as an integrated sensory system that can integrate access to geodetic equipment based on the Internet of Things technology with multiple platforms and protocols. At the same time, the acquisition, fusion, and processing of sensory resources can perform. The geospatial adaptor can access and process sensors of different IoT protocols to different conditions simultaneously. Grace to this geospatial adaptor, a considerable number of the sensor

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Bílek, Jiří, Ondřej Bílek, Petr Maršolek, and Pavel Buček. "Ambient Air Quality Measurement with Low-Cost Optical and Electrochemical Sensors: An Evaluation of Continuous Year-Long Operation." Environments 8, no. 11 (2021): 114. http://dx.doi.org/10.3390/environments8110114.

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Sensor technology is attractive to the public due to its availability and ease of use. However, its usage raises numerous questions. The general trustworthiness of sensor data is widely discussed, especially with regard to accuracy, precision, and long-term signal stability. The VSB-Technical University of Ostrava has operated an air quality sensor network for more than two years, and its large sets of valid results can help in understanding the limitations of sensory measurement. Monitoring is focused on the concentrations of dust particles, NO2, and ozone to verify the impact of newly plante

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Mrozek, Piotr, Ewa Gorodkiewicz, Paweł Falkowski, and Bogusław Hościło. "Sensitivity Analysis of Single- and Bimetallic Surface Plasmon Resonance Biosensors." Sensors 21, no. 13 (2021): 4348. http://dx.doi.org/10.3390/s21134348.

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Comparative analysis of the sensitivity of two surface plasmon resonance (SPR) biosensors was conducted on a single-metallic Au sensor and bimetallic Ag–Au sensor, using a cathepsin S sensor as an example. Numerically modeled resonance curves of Au and Ag–Au layers, with parameters verified by the results of experimental reflectance measurement of real-life systems, were used for the analysis of these sensors. Mutual relationships were determined between ∂Y/∂n components of sensitivity of the Y signal in the SPR measurement to change the refractive index n of the near-surface sensing layer and

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Hausmann, M., L. Häfner, and E. Kirchner. "A Procedure Model for the Systematic Sensor Selection and Integration into Technical Systems." Proceedings of the Design Society 2 (May 2022): 445–54. http://dx.doi.org/10.1017/pds.2022.46.

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AbstractNew sensor solutions are under development in the context of digitalization in order to integrate sensory functions into systems. When integrating sensors, the three domains of mechanical, electrical and information engineering must be considered. This results in complex development processes that require suitable procedure models. However, specific procedure models for sensor selection and integration are missing. This contribution proposes a procedure model for sensor selection and integration on the basis of the Munich Procedure Model (MPM) and gives an outlook on open research ques

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Yang, Le, Han Wang, Jiajian Zheng, Xin Duan, and Qishuo Cheng. "Research and Application of Visual Object Recognition System Based on Deep Learning and Neural Morphological Computation." International Journal of Computer Science and Information Technology 2, no. 1 (2024): 10–17. http://dx.doi.org/10.62051/ijcsit.v2n1.02.

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The development of advanced optoelectronic vision sensors for high-level image recognition and data preprocessing is poised to accelerate the progress of machine vision and mobile electronic technology. Compared to traditional sensory computing methods, such as analog-to-digital signal conversion and digital logic computation tasks (i.e., Von Neumann computing), neural morphological vision computing can significantly improve energy efficiency and data processing speed by minimizing unnecessary raw data transmission between front-end photosensitive sensors and back-end processors. Neural morpho

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18

Lee, Young Sup, Dong Jin Yoon, Sang Il Lee, and Jaehwa Kwon. "An Active Piezo Array Sensor for Elastic Wave Detection." Key Engineering Materials 297-300 (November 2005): 2004–9. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2004.

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This paper describes an array sensor of piezoceramic PZT discs with flexible covering layers, which is designed to detect surface elastic waves in structures, such as Rayleigh waves. The sensor is distinguished from conventional “passive” sensors for elastic waves detection because it possesses an ability to actuate an “active” pulse. This indicates that the function of active pulse generation ensures the diagnosis of the structures, where the sensor attached or embedded into, can be accomplished in a smart way including an easy inspection of faults. Actually the sensor has been inspired from

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19

Cao, Rongtao, Jingyu Wu, Yang Yang, Mohan Wang, Yuqi Li, and Kevin P. Chen. "A High-Temperature Multipoint Hydrogen Sensor Using an Intrinsic Fabry–Perot Interferometer in Optical Fiber." Photonics 10, no. 3 (2023): 284. http://dx.doi.org/10.3390/photonics10030284.

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This paper presents a multiplexable fiber optic chemical sensor with the capability of monitoring hydrogen gas concentration at high temperatures up to 750 °C. The Pd-nanoparticle infused TiO2 films coated on intrinsic Fabry–Perot interferometer (IFPI) array were used as sensory films. Strains induced upon exposure to hydrogen with varied concentrations can be monitored by IFPI sensors. The fiber sensor shows a repetitive and reversible response when exposed to a low level (1–6%) of hydrogen gas. Uniform sensory behavior across all the sensing cavities is demonstrated and reported in this pape

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A. Moshizi, Sajad, Christopher J. Pastras, Shuhua Peng, Shuying Wu, and Mohsen Asadnia. "Artificial Hair Cell Sensor Based on Nanofiber-Reinforced Thin Metal Films." Biomimetics 9, no. 1 (2024): 18. http://dx.doi.org/10.3390/biomimetics9010018.

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Engineering artificial mechanosensory hair cells offers a promising avenue for developing diverse biosensors spanning applications from biomedicine to underwater sensing. Unfortunately, current artificial sensory hair cells do not have the ability to simultaneously achieve ultrahigh sensitivity with low-frequency threshold detection (e.g., 0.1 Hz). This work aimed to solve this gap by developing an artificial sensory hair cell inspired by the vestibular sensory apparatus, which has such functional capabilities. For device characterization and response testing, the sensory unit was inserted in

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Ishikawa, Masatoshi. "Active Sensor System Using Parallel Processing Circuits." Journal of Robotics and Mechatronics 5, no. 1 (1993): 31–37. http://dx.doi.org/10.20965/jrm.1993.p0031.

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In this paper, an active sensor system using parallel processing circuits is proposed and its characteristics are discussed. From the perspective of a model of active touch sensory processing mechanism, the system uses information of efferent copy and internal actuator model in order to generate active motions from the local pattern information detected by local pattern sensors, such as tactile sensors. In addition, an experimental system and its basic experimental results are described. The experimental system is a sensor system for active perception of the shape of two-dimensional objects by

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Ruth, P. Okeke. "Fire Examination System Using Mobile Sensor Network." Journal of Telecommunication Study 5, no. 1 (2020): 19–22. https://doi.org/10.5281/zenodo.3779977.

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<strong>Sensors are the most significant piece of an observing framework. There is a wide assortment of sensors, for example, temperature sensor, moistness sensor, closeness sensor, Doppler radar sensor, sound sensor, Infrared Sensor, Ultrasonic Sensor and so forth. The Sensors are gadgets that convert physical amounts into a sign which can be estimated electrically. Condition, fire and checking frameworks utilize a Wireless Sensor Network (WSN) with numerous sensor hubs to get information ceaselessly. Right now, various sensors utilized for the observation is talked about.</strong>

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Henderson, Jeffrey, Joan Condell, James Connolly, Daniel Kelly, and Kevin Curran. "Reliability and Validity of Clinically Accessible Smart Glove Technologies to Measure Joint Range of Motion." Sensors 21, no. 5 (2021): 1555. http://dx.doi.org/10.3390/s21051555.

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Capturing hand motions for hand function evaluations is essential in the medical field. For many allied health professionals, measuring joint range of motion (ROM) is an important skill. While the universal goniometer (UG) is the most used clinical tool for measuring joint ROM, developments in current sensor technology are providing clinicians with more measurement possibilities than ever. For rehabilitation and manual dexterity evaluations, different data gloves have been developed. However, the reliability and validity of sensor technologies when used within a smart device remain somewhat un

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Yeong, De Jong, Gustavo Velasco-Hernandez, John Barry, and Joseph Walsh. "Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review." Sensors 21, no. 6 (2021): 2140. http://dx.doi.org/10.3390/s21062140.

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With the significant advancement of sensor and communication technology and the reliable application of obstacle detection techniques and algorithms, automated driving is becoming a pivotal technology that can revolutionize the future of transportation and mobility. Sensors are fundamental to the perception of vehicle surroundings in an automated driving system, and the use and performance of multiple integrated sensors can directly determine the safety and feasibility of automated driving vehicles. Sensor calibration is the foundation block of any autonomous system and its constituent sensors

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Gu, Junyi, Artjom Lind, Tek Raj Chhetri, Mauro Bellone, and Raivo Sell. "End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles." Sensors 23, no. 15 (2023): 6783. http://dx.doi.org/10.3390/s23156783.

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Autonomous driving vehicles rely on sensors for the robust perception of their surroundings. Such vehicles are equipped with multiple perceptive sensors with a high level of redundancy to ensure safety and reliability in any driving condition. However, multi-sensor, such as camera, LiDAR, and radar systems raise requirements related to sensor calibration and synchronization, which are the fundamental blocks of any autonomous system. On the other hand, sensor fusion and integration have become important aspects of autonomous driving research and directly determine the efficiency and accuracy of

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Jiang, Sheng. "Technologies for enhancing tactile perception in prosthetic devices." Theoretical and Natural Science 69, no. 1 (2025): 208–13. https://doi.org/10.54254/2753-8818/2025.20033.

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Tactile perception is a vital sensory function, and its role has been widely researched in the development of sensor technologies. The role of tactile feedback in augmenting the functional attributes of prosthetic devices is well-documented, as it facilitates a more seamless and natural engagement between the user and the surrounding environment. This paper explores advancements in tactile sensor technologies used to enhance sensory feedback in prosthetics, focusing on piezoresistive, piezoelectric, and capacitive sensors. The integration of these sensors allows for precise control, improving

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Gabrieli, Gianmarco. "(General Student Poster Award Winner, 1st Place) Accelerated Estimation of Chemical and Sensory Liquid Attributes Using an AI-Assisted Electrochemical Electronic Tongue." ECS Meeting Abstracts MA2023-02, no. 65 (2023): 3188. http://dx.doi.org/10.1149/ma2023-02653188mtgabs.

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Electronic tongues based on arrays of potentiometric sensors bears promises for enabling portable and fast analysis of complex liquids by leveraging low-selectivity and high-sensitivity of the inherent sensing materials. Thus, they have been studied and developed to target multiple applications, including analysis of chemical compositions or for untargeted quality control in the food industry. A key element to enable practical use of electronic tongues, however, has often been the analysis and interpretation of their combinatorial response due to the cross-sensitivity of the employed sensors.

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Hassanbeiglou, Alireza, Masoud Kalantari, Elaheh Mozaffari, Javad Dargahi, and József Kövecses. "A new tactile array sensor for viscoelastic tissues with time-dependent behavior." Sensor Review 35, no. 4 (2015): 374–81. http://dx.doi.org/10.1108/sr-06-2014-656.

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Purpose – The purpose of this paper is to introduce a new tactile array sensor into the medical field to enhance current robotic minimally invasive surgery (RMIS) procedures that are still limited in scope and versatility. In this paper, a novel idea is proposed in which a tactile sensor array can measure rate of displacement in addition to force and displacement of any viscoelastic material during the course of a single touch. To verify this new array sensor, several experiments were conducted on a diversity of tissues from which it was concluded that this newly developed sensory offers defin

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Zhang, Chang Jie, and Yu Liu. "A Sensor Grouping Method for Industrial Sensor Health Management." Applied Mechanics and Materials 621 (August 2014): 271–76. http://dx.doi.org/10.4028/www.scientific.net/amm.621.271.

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As many sensor networks have been deployed in industry monitoring area, the focus on sensor data quality has also increased. Sensor networks provide us with process details which we can utilize to help making decisions on process monitoring.In order to make meaningful decisions, the quality of the data produced by sensors must be validated. As we evaluate the status of a specific sensor, we may also regard the status of the related sensors. If a sensor’s data show some abnormal, but the sensors related to it didn’t, we may have much more confidence to believe that the sensor is malfunction. In

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Li, Guo Xin, Fei Lao, Bing Quan Huo, and Long Cheng. "Design of Fire Alarm System in Laboratory." Advanced Materials Research 912-914 (April 2014): 1232–35. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1232.

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Fire warning is a matter of concern in laboratory, this paper presents the design of distributed sensors fire warning system. The core idea is that a number of the bottom sensor collection terminals that consists of temperature and smoking sensors are evenly distributed in the laboratory; when there is a fire to happen, the bottom sensor collection terminals will send an alarming signal by the way of wireless communication to the middle layer alarming signal collection terminal, which starts a GPRS module to capture the scene and send the image to the senior monitoring management center. The s

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Lee, Chao Yang, Fu Tian Lin, and Chu Sing Yang. "Mobile Sensor Navigation in Wireless Hybrid Sensor Networks." Advanced Materials Research 694-697 (May 2013): 1013–16. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1013.

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With recent advances in mobile platforms, hybrid sensor networks are becoming very popular technology. Mobile sensors can dynamically move to monitor uncovered areas and thus improve the coverage quality. Due to the obstacles may exist in the monitor fields, mobile sensors need to find an obstacle-free moving path for mobile sensor movement. However, in practical, sensors are difficult to obtain the geographic information of obstacles. Additionally, sensors have resource constraints. Hence, this work proposed an obstacle-free and geographic-free dispatch scheme (OGDS) for mobile sensor navigat

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HUGHES, KEN, and N. RANGANATHAN. "MODELING SENSOR CONFIDENCE FOR SENSOR INTEGRATION TASKS." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 06 (1994): 1301–18. http://dx.doi.org/10.1142/s0218001494000656.

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This paper addresses the problem of determining the reliability of individual sensors in a multi-sensor robotic system in an unknown environment. The inherent difficulty in this problem is that the decision must be based solely upon the data from the sensors themselves. While some previous research has considered unstructured environments (see Refs. 1 and 2 for examples) little if any consideration has been given to totally unknown environments. This problem has usually been avoided by assuming that the sensors would not provide erroneous data or ignoring sensors when they appeared to provide

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Zang, Yue, Yuyang Peng, Sangdon Park, Han Hai, Fawaz AL-Hazemi, and Mohammad Meraj Mirza. "A Novel Cooperative Transmission Scheme in UAV-Assisted Wireless Sensor Networks." Electronics 11, no. 4 (2022): 600. http://dx.doi.org/10.3390/electronics11040600.

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In wireless sensor networks (WSNs), the efficiency of data transmission within a limited time is critical, especially for sensors designed with small batteries. In this paper, we design a cooperative transmission scheme with an energy-charging function in a WSN where an unmanned aerial vehicle (UAV) is considered for sensory data collection and energy charging. Specially, the sensor nodes are powered by the UAV for their data transmission. In the first phase, the UAV transmits the energy signal to the sensor nodes distributed on the ground. All the energy received by the sensor nodes is used t

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KALYASHINA, A. V. "ANALYSIS OF EFFICIENCY OF SENSOR SIGNAL RECOGNITION AND FILTRATION FOR MOBILE ROBOT MOTION CONTROL ON RUSSIAN PLATFORM TRACKDUINO." Herald of Technological University 27, no. 12 (2024): 147–52. https://doi.org/10.55421/1998-7072_2024_27_12_147.

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This study is devoted to the comparative evaluation of the digital filters for filtering signals received from sensors. Sensory information about the location of mobile robots, environmental objects, including possible obstacles, its overall 3D picture is the basis for constructing a model of the surrounding space, choosing the direction and trajectory of movement in accordance with the tasks performed, which is why it is extremely important to receive a high-quality signal from a sensor device. From an engineering point of view, it makes sense to classify sensor devices by the type of their o

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Varghese, Liji. "Energy Efficient Sensory Data Collection in Wireless Sensor Networks." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 914–19. https://doi.org/10.21275/sr21609151823.

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Ramdhani, Aris, Ahmad Aminudin, and Agus Danawan. "Rancang Bangun Sistem Pengukur Kecepatan Kendaraan Menggunakan Sensor Magnetik." Wahana Fisika 2, no. 1 (2017): 28. http://dx.doi.org/10.17509/wafi.v2i1.7021.

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Data kecepatan kendaran di jalan raya sangat berpengaruh bagi keamanan dan keselamatan pengguna jalan raya. Kemajuan tekhnologi sensor sangat membantu dalam mengukur kecepatan kendaraan dengan otomatis. Metode yang umum dipakai ialah metode dengan menggunakan dua buah rangkaian sensor yang sudah diatur pada jarak tertentu. Sensor digunakan sebagai pendeteksi keberadaan kendaraan. Data kecepatan kendaraan didapatkan dengan mencari selang waktu yang dibutuhkan kendaraan melaju dari sensor pertama menuju sensor kedua. Saat kendaraan melaju melewati sensor maka sinyal keluaran sensor menjadi acuan

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Bosse, Stefan, and Uwe Engel. "Augmented Virtual Reality: Combining Crowd Sensing and Social Data Mining with Large-Scale Simulation Using Mobile Agents for Future Smart Cities." Proceedings 4, no. 1 (2018): 49. http://dx.doi.org/10.3390/ecsa-5-05762.

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Augmented reality is well known for extending the real world by adding computer-generated perceptual information and overlaid sensory information. In contrast, simulation worlds are commonly closed and rely on artificial sensory information generated by the simulator program or using data collected off-line. In this work, a new simulation paradigm is introduced, providing augmented virtuality by integrating crowd sensing and social data mining in simulation worlds by using mobile agents. The simulation world interacts with real world environments, humans, machines, and other virtual worlds in

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Heydarianasl, Mozhde. "Optimization of electrostatic sensor based on sensor separation." Sensor Review 39, no. 5 (2019): 724–32. http://dx.doi.org/10.1108/sr-06-2018-0158.

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Purpose Electrostatic sensors are applied to measure velocity of solid particles in many industries because controlling the velocity particles improves product quality and process efficiency. The purpose of current paper is optimization of these sensors which is required to achieve maximum spatial sensitivity and minimum statistical error. Design/methodology/approach Different electrode of electrostatic sensors with different length, thickness and sensor separations were experimentally applied in laboratory. Then, correlation velocity, signal bandwidth and statistical error were calculated. Fi

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Yoon, John. "Trustworthiness of Dynamic Moving Sensors for Secure Mobile Edge Computing." Computers 7, no. 4 (2018): 63. http://dx.doi.org/10.3390/computers7040063.

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Wireless sensor network is an emerging technology, and the collaboration of wireless sensors becomes one of the active research areas for utilizing sensor data. Various sensors collaborate to recognize the changes of a target environment, to identify, if any radical change occurs. For the accuracy improvement, the calibration of sensors has been discussed, and sensor data analytics are becoming popular in research and development. However, they are not satisfactorily efficient for the situations where sensor devices are dynamically moving, abruptly appearing, or disappearing. If the abrupt app

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Azizi, Shoaib, Ramtin Rabiee, Gireesh Nair, and Thomas Olofsson. "Effects of Positioning of Multi-Sensor Devices on Occupancy and Indoor Environmental Monitoring in Single-Occupant Offices." Energies 14, no. 19 (2021): 6296. http://dx.doi.org/10.3390/en14196296.

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The advancements in sensor and communication technologies drive the rapid developments in the applications of occupancy and indoor environmental monitoring in buildings. Currently, the installation standards for sensors are scarce and the recommendations for sensor positionings are very general. However, inadequate sensor positioning might diminish the reliability of sensor data, which could have serious impacts on the intended applications such as the performance of demand-controlled HVAC systems and their energy use. Thus, there is a need to understand how sensor positioning may affect the s

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Bao, Xi Rong, Yue Huang, and Shi Zhang. "A Distributed Motion Algorithm for Mobile Sensor in Hybrid Wireless Sensor Networks." Applied Mechanics and Materials 719-720 (January 2015): 812–17. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.812.

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Constructing a hybrid wireless sensor networks comprising a mix of static sensors and mobile sensors can achieve a balance between improving coverage and reducing the cost of the network. In order to achieve high network coverage, mobile sensor move from a small to a big size of coverage hole in the hybrid wireless sensor networks. Due to the energy of the mobile sensor is limited, how to reduce the moving distance of the mobile sensor and reduce the energy consumption in the process of moving is a very important issue. This paper proposes a distributed minimum cost matching algorithm (DMMA) t

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Kim, Tae-Hyeong, Gi-Hwan Jo, Hyeong-Seok Yun, Kyung-Su Yun, and Tae-Hyoung Park. "Placement Method of Multiple Lidars for Roadside Infrastructure in Urban Environments." Sensors 23, no. 21 (2023): 8808. http://dx.doi.org/10.3390/s23218808.

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Sensors on autonomous vehicles have inherent physical constraints. To address these limitations, several studies have been conducted to enhance sensing capabilities by establishing wireless communication between infrastructure and autonomous vehicles. Various sensors are strategically positioned within the road infrastructure, providing essential sensory data to these vehicles. The primary challenge lies in sensor placement, as it necessitates identifying optimal locations that minimize blind spots while maximizing the sensor’s coverage area. Therefore, to solve this problem, a method for posi

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Chaudhari, Amit, Rakshith Lokesh, Vuthea Chheang, et al. "Characterizing the Sensing Response of Carbon Nanocomposite-Based Wearable Sensors on Elbow Joint Using an End Point Robot and Virtual Reality." Sensors 24, no. 15 (2024): 4894. http://dx.doi.org/10.3390/s24154894.

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Physical therapy is often essential for complete recovery after injury. However, a significant population of patients fail to adhere to prescribed exercise regimens. Lack of motivation and inconsistent in-person visits to physical therapy are major contributing factors to suboptimal exercise adherence, slowing the recovery process. With the advancement of virtual reality (VR), researchers have developed remote virtual rehabilitation systems with sensors such as inertial measurement units. A functional garment with an integrated wearable sensor can also be used for real-time sensory feedback in

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Rahmantyo, Wikan Haryo, and Danang Lelono. "Analisis Respons Sensor Electroni Tongue terhadap Sampel Ganja menggunakan Support Vector Machine." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 9, no. 2 (2019): 141. http://dx.doi.org/10.22146/ijeis.49173.

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Electronic tongue sensors consisting of 16 sensor array made of TOMA and OA lipids that have been used to classify samples of pure cannabis, cannabis mixed with tea and cannabis mixed with tobacco does not involve the feature selection technique so that a lot of duplicated data is generated from data sampling. Feature selection is performed using PCA. Data analysis resulted in loading values shows the contribution of each sensor, and the similarity in sensor performance in characterizing samples, then analyzed using the correlation test so that the sensors that produce redundant information ar

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Barabás, István, Calin Iclodean, Horia Beles, Csaba Antonya, Andreia Molea, and Florin Bogdan Scurt. "An Approach to Modeling and Developing Virtual Sensors Used in the Simulation of Autonomous Vehicles." Sensors 25, no. 11 (2025): 3338. https://doi.org/10.3390/s25113338.

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A virtual model enables the study of reality in a virtual environment using a theoretical model, which is a digital image of a real model. The complexity of the virtual model must correspond to the reality of the evaluated system, becoming as complex as necessary and nevertheless as simple as possible, allowing for computer simulation results to be validated by experimental measurements. The virtual model of the autonomous vehicle was created using the CarMaker software package version 12.0, which was developed by the IPG Automotive company and is extensively used in both the international aca

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Wang, Silin, and Junji Gao. "Overview of Magnetic Field Sensor." Journal of Physics: Conference Series 2613, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1742-6596/2613/1/012012.

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Abstract This article summarizes the commonly used in magnetic sensors Hall sensors, Anisotropic magnetoresistive sensor (AMR), Giant magnetoresistance effect sensor (GMR) and Tunneling magnetoresistance sensor (TMR). The structure and working principle of each sensor are introduced. In addition, some error sources of magnetic sensors and the calibration techniques used are introduced, and some typical application examples of each sensor are introduced.

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Navone, Christelle, Mathieu Soulier, Isabella Chartier, et al. "Flexible Heat Flux Sensor for Firefighters Garment Integration." International Journal of E-Health and Medical Communications 4, no. 1 (2013): 36–45. http://dx.doi.org/10.4018/jehmc.2013010104.

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The interest in using optimal equipment to face unknown hazards is growing, as it ultimately save lives. This holds especially true for fire-fighters which are confronted with other hazards during the course of operations. Improvement of their security by an integrated sensory clothing system was the main objective of the European project ProeTEX. In this context, the integration of commercial heat flux sensors into fire-fighters garment has proved the interest of such measurements. However, low flexibility and high cost remain major disadvantages of these sensors. The objective of this work i

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Vino, T., S. S. Sivaraju, R. V. V. Krishna, et al. "Multicluster Analysis and Design of Hybrid Wireless Sensor Networks Using Solar Energy." International Journal of Photoenergy 2022 (October 11, 2022): 1–8. http://dx.doi.org/10.1155/2022/1164613.

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A wireless touch network is a distributed, self-organizing network of multiple sensors and actuators in combination with multiple sensors and a radio channel. Also, the security area of such a network can be several meters to several meters. The main difference between wireless sensor networks from traditional computer and telephone networks is the lack of a fixed infrastructure owned by a specific operator or provider. Each user terminal in a touch network is capable of acting as a terminal device only. Despite the long history of sensor networks, the concept of building a sensor network is n

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Lee, Young Sup. "A New Position Sensor Using a Triangularly Shaped Piezoelectric PVDF Film." Key Engineering Materials 297-300 (November 2005): 2115–21. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2115.

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This paper describes a novel tip position sensor for a cantilever beam made of a triangularly shaped distributed piezoelectric PVDF (polyvinylidene fluoride) film. Due to the boundary condition of the cantilever beam and the spatial sensitivity function of the distributed PVDF sensor, the charge output of the PVDF sensor can be shown to be proportional to the tip position of the beam. Experimental result using the triangular PVDF sensor were compared with those using two commercially available position sensors: an inductive sensor and an accelerometer (after double integration). The resonance

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Tsai, Rong-Guei, Xiaoyan Lv, Lin Shen, and Pei-Hsuan Tsai. "A High-Robust Sensor Activity Control Algorithm for Wireless Sensor Networks." Sensors 22, no. 5 (2022): 2020. http://dx.doi.org/10.3390/s22052020.

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In wireless sensor networks, it is important to use the right number of sensors to optimize the network and consider the key design and cost. Due to the limited power of sensors, important issues include how to control the state of the sensor through an automatic control algorithm and how to power-save and efficiently distribute work. However, sensor nodes are usually deployed in dangerous or inaccessible locations. Therefore, it is difficult and impractical to supply power to sensors through humans. In this study, we propose a high reliability control algorithm with fast convergence and stron

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