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Journal articles on the topic 'Sensor information'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Lee, Eun-Taik, and Hee-Chang Eun. "Optimal sensor placements using modified Fisher information matrix and effective information algorithm." International Journal of Distributed Sensor Networks 17, no. 6 (2021): 155014772110230. http://dx.doi.org/10.1177/15501477211023022.

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This article presents an optimal sensor placement algorithm for modifying the Fisher information matrix and effective information. The modified Fisher information matrix and effective information are expressed using a dynamic equation constrained by the condensed relationship of the incomplete mode shape matrix. The mode shape matrix row corresponding to the master degree of freedom of the lowest-contribution Fisher information matrix and effective information indices is moved to the slave degree of freedom during each iteration to obtain an updated shape matrix, which is then used in subseque

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FABRE, S., A. APPRIOU, and X. BRIOTTET. "SENSOR FUSION INTEGRATING CONTEXTUAL INFORMATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 09, no. 03 (2001): 369–409. http://dx.doi.org/10.1142/s0218488501000855.

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The application of multi-sensor fusion, which aims at recogizing a state among a set of hypotheses for object classification, is of major interest as regards the performance improvement brought by the sensor complementarily. Nevertheless this needs to take into account the more accurate as possible information and take advantage of the statistical learning of the previous measurements acquired by sensors. The classical probabilistic fusion methods lack of performance when the previous learning is not representative of the real measurements provided by sensors. The theory of evidence is then in

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Petrivskyi, V. Y., V. L. Shevchenko, O. S. Bychkov, and I. P. Sinitsyn. "Information technology to ensure the survivability of sensor networks." PROBLEMS IN PROGRAMMING, no. 4 (December 2021): 062–69. http://dx.doi.org/10.15407/pp2021.04.062.

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In the modern technological world, sensors and sensor networks are widely used in the all spheres of human activity. One of the key engineering tasks in the design of sensor networks is to ensure the survivability of the network. The article presents algorithms for ensuring the survivability of sensor networks based on a preliminary assessment of this property. Estimation of survivability depends on the network topology. Increasing the survivability of the sensor network is achieved by including additional sensors in the network. An algorithm for finding the position of additional sensors in t

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WANG, BANG. "SENSOR PLACEMENT FOR COMPLETE INFORMATION COVERAGE IN DISTRIBUTED SENSOR NETWORKS." Journal of Circuits, Systems and Computers 17, no. 04 (2008): 627–36. http://dx.doi.org/10.1142/s0218126608004575.

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The sensor placement problem for complete information coverage in a distributed sensor network is studied. Sensors are assumed to be placed on the grid points of a grid in the sensor field and complete information coverage is claimed if all the grid points are information covered. This sensor placement problem is formulated as a constrained optimization problem where the objective is to minimize the total cost while guaranteeing certain coverage requirement. We propose a greedy algorithm to solve this problem. Computational results show that the proposed algorithm can efficiently obtain a good

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Luo, Yuxuan, Panhao Xu, Qinghai Dong, and Boyuan Qiao. "Remote Information Interaction and Software based on Sensor Recognition." Scientific Journal of Technology 5, no. 1 (2023): 1–5. http://dx.doi.org/10.54691/sjt.v5i1.3455.

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Sensor network integrates sensor technology, embedded computing technology, distributed information processing technology and wireless communication technology, and can cooperate in field monitoring, sensing, collecting and processing the information of monitoring objects.wireless sensor network technology has the advantages of self-organization, rapid deployment, high fault tolerance and concealment. At present, sensor technology is frequently used in various fields, but there are many kinds of sensors. It is inefficient to combine the information measured by each sensor to obtain the accurat

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Ehlenbröker, Jan-Friedrich, Uwe Mönks, and Volker Lohweg. "Sensor defect detection in multisensor information fusion." Journal of Sensors and Sensor Systems 5, no. 2 (2016): 337–53. http://dx.doi.org/10.5194/jsss-5-337-2016.

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Abstract. In industrial processes a vast variety of different sensors is increasingly used to measure and control processes, machines, and logistics. One way to handle the resulting large amount of data created by hundreds or even thousands of different sensors in an application is to employ information fusion systems. Information fusion systems, e.g. for condition monitoring, combine different sources of information, like sensors, to generate the state of a complex system. The result of such an information fusion process is regarded as a health indicator of a complex system. Therefore, inform

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Kim, Hyun Jun, Man Bok Park, and Meong Hyun Lee. "Journal of Knowledge Information Technology and Systems)." Korean Institute of Smart Media 12, no. 10 (2023): 55–62. http://dx.doi.org/10.30693/smj.2023.12.10.55.

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Innovation and change are occurring rapidly in the agriculture and livestock industry, and new technologies such as smart barns are being introduced, and data that can be used to control equipment is being collected by utilizing various sensors. However, there are various challenges in the operation of barns, and virtual sensor technology is needed to solve these challenges. In this paper, we define various data items and sensor data types used in livestock farms, study cases that utilize virtual sensors in other fields, and implement and design a virtual sensor system for the final smart live

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Odeberg, Hans. "Fusing sensor information using fuzzy measures." Robotica 12, no. 5 (1994): 465–72. http://dx.doi.org/10.1017/s0263574700018026.

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SUMMARYIn a measurement system with intelligent, distributed sensor processes, complementary observations from different sensor need be combined with each other. This paper describes a method based on fuzzy measures, in which a global ‘fusion algorithm’ questions the sensors as to their support and opinion of a hypothesis. The sensor opinions are clustered into groups based on their support of each others' opinions, and fused using a new fuzzy operator.

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Williams, Simon, Arthur George Suvorov, Zengfu Wang, and Bill Moran. "The Information Geometry of Sensor Configuration." Sensors 21, no. 16 (2021): 5265. http://dx.doi.org/10.3390/s21165265.

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In problems of parameter estimation from sensor data, the Fisher information provides a measure of the performance of the sensor; effectively, in an infinitesimal sense, how much information about the parameters can be obtained from the measurements. From the geometric viewpoint, it is a Riemannian metric on the manifold of parameters of the observed system. In this paper, we consider the case of parameterized sensors and answer the question, “How best to reconfigure a sensor (vary the parameters of the sensor) to optimize the information collected?” A change in the sensor parameters results i

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Yan, Qingli, and Jianfeng Chen. "Sensor Selection via Maximizing Hybrid Bayesian Fisher Information and Mutual Information in Unreliable Sensor Networks." Electronics 9, no. 2 (2020): 283. http://dx.doi.org/10.3390/electronics9020283.

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The sensor selection problem is addressed for unreliable sensor networks. The Bayesian Fisher information (BFI) matrix, mutual information (MI) and their relationship are investigated under Gaussian mixture noise conditions. To overcome the flaw that the sensor selection methods based on either BFI matrix or MI could not provide coincident results, the multiple objective optimal (MOP) -based sensor selection approach is developed via minimizing the number of selected sensors while maximizing corresponding BFI matrix and MI. The variable weight decision making (VWDM) and technique for order of

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Feng, Yiyang. "Multi-Sensor Information Fusion Technology in Robots." Applied and Computational Engineering 80, no. 1 (2024): 149–54. http://dx.doi.org/10.54254/2755-2721/80/2024ch0079.

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Multi-sensor information fusion is a technology that collects and processes data from multiple sensors to obtain more comprehensive and accurate information. In the field of robotics, multi-sensor information fusion technology is frequently applied to robots since the use of a single sensor in robots is often limited, this will also improve the accuracy and robustness of robot environment perception. After researching and organizing multi-sensor information fusion technology, robotics technology and other related materials, this paper provides a comprehensive introduction to the application of

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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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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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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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Fu, Yuan, Xiang Chen, Yu Liu, Chan Son, and Yan Yang. "Multi-Source Information Fusion Fault Diagnosis for Gearboxes Based on SDP and VGG." Applied Sciences 12, no. 13 (2022): 6323. http://dx.doi.org/10.3390/app12136323.

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A decision-level approach using multi-sensor-based symmetry dot pattern (SDP) analysis with a Visual Geometry Group 16 network (VGG16) fault diagnosis model for multi-source information fusion was proposed to realize accurate and comprehensive fault diagnosis of gearbox gear teeth. Firstly, the SDP technique was used to perform a feature-level fusion of the fault states of gearbox gear collected by multiple sensors, which could initially visualize the vibration states of the gear teeth in different states. Secondly, the SDP images obtained were combined with the deep learning VGG16. In this wa

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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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17

Kraemer, P., and Claus Peter Fritzen. "Sensor Fault Identification Using Autoregressive Models and the Mutual Information Concept." Key Engineering Materials 347 (September 2007): 387–92. http://dx.doi.org/10.4028/www.scientific.net/kem.347.387.

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This paper presents a combined approach for sensor fault identification looking for changes within one channel on one hand and for changes between the different channels on the other hand. The first method is based on the identification of autoregressive (AR) models from the reference time signals for each sensor channel separately. The reference models are then used for the prediction of the future sensors signals. The statistical properties of the residuals between this prediction and the true measurement allow a statement about changes of the sensor signals. The second method is based on th

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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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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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20

Shen, Tzung-Sz, Jianbing Huang, and Chia-Hsiang Menq. "Multiple-Sensor Planning and Information Integration for Automatic Coordinate Metrology." Journal of Computing and Information Science in Engineering 1, no. 2 (2001): 167–79. http://dx.doi.org/10.1115/1.1385827.

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Multiple-sensor integration of vision and touch probe sensors has been shown to be a feasible approach for rapid and high-precision coordinate acquisition [Shen, T. S., Huang, J., and Meng, C. H., 2000, “Multiple-sensor integration for rapid and high-precision coordinate metrology,” IEEE/ASME Trans. Mechatron. 5, pp. 110–121]. However, the automation of coordinate measurements is still hindered by unknown surface areas that cannot be digitized using the vision system due to occlusions. It is identified that the estimation and reasoning of unknown surface areas, and automatic sensor planning us

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Morinaka, Katsuya, Kazuhiko Hashimoto, Shinji Tanaka, and Nobuyuki Yoshiike. "Human information sensor." Sensors and Actuators A: Physical 66, no. 1-3 (1998): 1–8. http://dx.doi.org/10.1016/s0924-4247(97)01705-6.

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Yoshiike, Nobuyuki, Koji Arita, Katsuya Morinaka, Kazuhiko Hashimoto, Mariko Kawaguri, and Atsushi Nishino. "Human information sensor." Sensors and Actuators A: Physical 48, no. 1 (1995): 73–78. http://dx.doi.org/10.1016/0924-4247(95)00982-5.

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23

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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SALGE, CHRISTOPH, and DANIEL POLANI. "INFORMATION-DRIVEN ORGANIZATION OF VISUAL RECEPTIVE FIELDS." Advances in Complex Systems 12, no. 03 (2009): 311–26. http://dx.doi.org/10.1142/s0219525909002234.

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By using information theory to reduce the state space of sensor arrays, such as receptive fields, for AI decision making we offer an adaptive algorithm without classical biases of hand coded approaches. This paper presents a way to build an acyclic directed graph to organize the sensor inputs of a visual receptive field. The Information Distance Metric is used to repeatedly select two sensors, which contain the most information about each other. Those are then encoded to a single variable, of equal alphabet size, with a deterministic mapping function that aims to create maximal entropy while m

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YingGang Xie, YingGang Xie, ShaoHua Guo YingGang Xie, YuXin Li ShaoHua Guo, and XueYuan Zhang YuXin Li. "Automatic Docking Optimization Method of Bed and Chair Based on Multi-sensor Information Fusion." 網際網路技術學刊 23, no. 1 (2022): 101–10. http://dx.doi.org/10.53106/160792642022012301010.

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<p>Automatic docking is a basic function of intelligent wheelchair bed system. In order to achieve high-precision docking between intelligent wheelchair and U-shaped bed, this paper proposes an optimization method of automatic docking between bed and chair based on multi-sensor information fusion. By installing a variety of sensors, such as depth vision camera and lidar ranging, there is usually cross sensitivity when multiple sensors work together. Based on real sensing technology，wireless sensor network technology and lidar ranging equipment l, a dynamic Bayesian multi-mode information

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Steiner, Steffen, Abdulrahman Dayo Aminu, and Volker Kuehn. "Distributed Quantization for Partially Cooperating Sensors Using the Information Bottleneck Method." Entropy 24, no. 4 (2022): 438. http://dx.doi.org/10.3390/e24040438.

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This paper addresses the optimization of distributed compression in a sensor network with partial cooperation among sensors. The widely known Chief Executive Officer (CEO) problem, where each sensor has to compress its measurements locally in order to forward them over capacity limited links to a common receiver is extended by allowing sensors to mutually communicate. This extension comes along with modified statistical dependencies among involved random variables compared to the original CEO problem, such that well-known outer and inner bounds do not hold anymore. Three different inter-sensor

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Yamamoto, Motoji, Nobuhiro Ushimi, and Akira Mohri. "Development of Sensor-Based Navigation for Mobile Robots Using Target Direction Sensor." Journal of Robotics and Mechatronics 11, no. 1 (1999): 39–44. http://dx.doi.org/10.20965/jrm.1999.p0039.

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Sensor-based navigation used a target direction sensor for mobile robots among unknown obstacles in work space is discussed. The advantage of target direction information is robustness of measurement error for online navigation, compared to robot location information. Convergence of navigation using target direction information is discussed. An actual sensor system using two CdS sensors to measure target direction is proposed. Using target direction information, we present a new sensor based navigation algorithm in unknown obstacle environment. The navigation algorithm is based on target direc

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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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Zhang, Wen-Hao, Lin Dai, Wang Chen, Anyu Sun, Wu-Le Zhu, and Bing-Feng Ju. "Novel Information-Driven Smoothing Spline Linearization Method for High-Precision Displacement Sensors Based on Information Criterions." Sensors 23, no. 22 (2023): 9268. http://dx.doi.org/10.3390/s23229268.

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A noise-resistant linearization model that reveals the true nonlinearity of the sensor is essential for retrieving accurate physical displacement from the signals captured by sensing electronics. In this paper, we propose a novel information-driven smoothing spline linearization method, which innovatively integrates one new and three standard information criterions into a smoothing spline for the high-precision displacement sensors’ linearization. Using theoretical analysis and Monte Carlo simulation, the proposed linearization method is demonstrated to outperform traditional polynomial and sp

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Wan, Shanshan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, and Ying Liu. "Research on disaster information dissemination based on social sensor networks." International Journal of Distributed Sensor Networks 18, no. 3 (2022): 155013292210806. http://dx.doi.org/10.1177/15501329221080666.

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Sudden disaster events are usually unpredictable and uncontrollable, and how to achieve efficient and accurate disaster information dissemination is an important topic for society security. At present, social sensor networks which integrate human mobile sensors and traditional physical sensors are widely used in dealing with emergencies. Previous studies mainly focused on the impact of human mobility patterns on social sensor networks. In this article, based on the inherent autonomy property of human individuals, we propose a social sensor information dissemination model, which mainly focuses

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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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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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Geng, Peng, and Yan Liu. "Line Detection of Power Transmission Network Using Multi Photoelectric Sensors and Its Robustness Under Interaction." Journal of Nanoelectronics and Optoelectronics 16, no. 8 (2021): 1234–42. http://dx.doi.org/10.1166/jno.2021.3078.

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The characteristics of the layered reference model, physical layer, MAC layer and defined LR-WPAN network of IEEE802.15.4 are analyzed, and a set of power transmission line detection system based on wireless sensor network is designed. The network is mainly composed of photoelectric sensors (acceleration sensor, displacement sensor). The system design includes the determination of detection content, the selection of sensors and the topological structure of wireless network. In addition, the hardware structure of the photoelectric sensor node is designed, and the small current transformer is in

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Dr. Soundara Rajan, Pradeep K. G. M. ,. Dr S. VENKATESAN,. "A NEURAL NETWORK BASED SMART BUILDING MONITORING SYSTEM USING WIRELESS SENSOR NETWORK." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 232–39. http://dx.doi.org/10.17762/itii.v9i1.123.

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A Smart building monitoring System uses Sensors like temperature Sensor, humidity sensor, motion / occupancy Sensor, contact sensor, Gas/air quality Sensor, Strain Sensor, electrical current monitoring Sensor etc for monitoring an environmental factors and to control devices such as air conditioner, ventilator, alarm, Security grand system etc using sensor information. Our proposed system uses effective neural network to gather information from different Sensor and consolidate it by Information Isolation Node (IIN) and send to sink node The Sink node sends information. to cloud where remote mo

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Yamanaka, Takao, Nitikarn Nimsuk, and Takamichi Nakamoto. "Concurrent Recording and Regeneration of Visual and Olfactory Information Using Odor Sensor." Presence: Teleoperators and Virtual Environments 16, no. 3 (2007): 307–17. http://dx.doi.org/10.1162/pres.16.3.307.

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In this paper, a method of concurrent recording and regeneration of visual and olfactory information is presented using electronic nose technology. To accomplish this objective, the sensor response patterns of odors in the atmosphere were measured using QCM (quartz crystal microbalance) odor sensors with partially overlapping specificities. Then the odors were identified from the response patterns using LVQ (learning vector quantization), a pattern classification algorithm of neural networks with supervised learning. Visual information, presented as a movie, was captured using a digital video

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Sequeira, Gerald Joy, Robert Lugner, Ulrich Jumar, and Thomas Brandmeier. "A validation sensor based on carbon-fiber-reinforced plastic for early activation of automotive occupant restraint systems." Journal of Sensors and Sensor Systems 8, no. 1 (2019): 19–35. http://dx.doi.org/10.5194/jsss-8-19-2019.

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Abstract. In the automotive industry, sensors and sensor systems are one of the most important components in upcoming challenges like highly automated and autonomous driving. Forward-looking sensors (radar, lidar and cameras) have the technical capability to already provide important (pre-)crash information, such as the position of contact, relative crash velocity and overlap (width of contact) before the crash occurs. Future safety systems can improve crash mitigation with sophisticated vehicle safety strategies based on this information. One such strategy is an early activation of restraint

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Santos-Ruiz, Ildeberto, Francisco-Ronay López-Estrada, Vicenç Puig, Guillermo Valencia-Palomo, and Héctor-Ricardo Hernández. "Pressure Sensor Placement for Leak Localization in Water Distribution Networks Using Information Theory." Sensors 22, no. 2 (2022): 443. http://dx.doi.org/10.3390/s22020443.

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This paper presents a method for optimal pressure sensor placement in water distribution networks using information theory. The criterion for selecting the network nodes where to place the pressure sensors was that they provide the most useful information for locating leaks in the network. Considering that the node pressures measured by the sensors can be correlated (mutual information), a subset of sensor nodes in the network was chosen. The relevance of information was maximized, and information redundancy was minimized simultaneously. The selection of the nodes where to place the sensors wa

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Satria, Dedi, Syaifuddin Yana, Rizal Munadi, and Saumi Syahreza. "FLOOD EARLY WARNING INFORMATION SYSTEM FOR MULTILOCATION BASED ANDROID." International Journal of Engineering Technologies and Management Research 5, no. 8 (2020): 47–53. http://dx.doi.org/10.29121/ijetmr.v5.i8.2018.279.

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Development of flood early warning technology has grown rapidly. The technology has led to improvements in terms of communication and information technology. The use of the Internet of Things model (IOTs) has provided significant development to the development of early warning information systems. In this article is the development of a prototype model of flood monitoring information systems using Android has been designed by combining ultrasonic sensors as a water level detector, rain sensor, temperature sensor and moisture sensor. Arduino Uno Microcontroller Module used as sensor data proces

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Dedi, Satria, Yana Syaifuddin, Munadi Rizal, and Syahreza Saumi. "FLOOD EARLY WARNING INFORMATION SYSTEM FOR MULTILOCATION BASED ANDROID." International Journal of Engineering Technologies and Management Research 5, no. 8 (2018): 47–53. https://doi.org/10.5281/zenodo.1412222.

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Development of flood early warning technology has grown rapidly. The technology has led to improvements in terms of communication and information technology. The use of the Internet of Things model (IOTs) has provided significant development to the development of early warning information systems. In this article is the development of a prototype model of flood monitoring information systems using Android has been designed by combining ultrasonic sensors as a water level detector, rain sensor, temperature sensor and moisture sensor. Arduino Uno Microcontroller Module used as sensor data proces

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Bordyug, Alexander Sergeevich. "Application of plate with optical sensors in ship information systems." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2021, no. 4 (2021): 91–97. http://dx.doi.org/10.24143/2073-1574-2021-4-91-97.

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The article considers application of fiber optic devices in many devices due to their small size and high accuracy. The new fiber optic devices are equipped with a Slab Coupled Fiber (SCF) system. The SCF method uses resonant coupling between an optical fiber and a plate waveguide to create an intra-fiber device. Devices manufactured with this technology consist of polarizers, filters and sensors. Fiber optic systems have been used in torque measurement systems in the oil and gas industry and in aerospace industry. Using this system on ships is more expensive in comparison with the technologie

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Kolar, Prasanna, Patrick Benavidez, and Mo Jamshidi. "Survey of Datafusion Techniques for Laser and Vision Based Sensor Integration for Autonomous Navigation." Sensors 20, no. 8 (2020): 2180. http://dx.doi.org/10.3390/s20082180.

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This paper focuses on data fusion, which is fundamental to one of the most important modules in any autonomous system: perception. Over the past decade, there has been a surge in the usage of smart/autonomous mobility systems. Such systems can be used in various areas of life like safe mobility for the disabled, senior citizens, and so on and are dependent on accurate sensor information in order to function optimally. This information may be from a single sensor or a suite of sensors with the same or different modalities. We review various types of sensors, their data, and the need for fusion

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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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Georgiev, Milen, Ivan Tanev, Katsunori Shimohara, and Thomas Ray. "Evolution, Robustness and Generality of a Team of Simple Agents with Asymmetric Morphology in Predator-Prey Pursuit Problem." Information 10, no. 2 (2019): 72. http://dx.doi.org/10.3390/info10020072.

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One of the most desired features of autonomous robotic systems is their ability to accomplish complex tasks with a minimum amount of sensory information. Often, however, the limited amount of information (simplicity of sensors) should be compensated by more precise and complex control. An optimal tradeoff between the simplicity of sensors and control would result in robots featuring better robustness, higher throughput of production and lower production costs, reduced energy consumption, and the potential to be implemented at very small scales. In our work we focus on a society of very simple

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Rahman, Shaik Anees Ur. "IOT BASED ATMOSPHERE MONITORING SYSTEM." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46152.

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Abstract—This project presents an advanced air monitoring system based on the Node MCU platform designed to mea- sure and report various environmental parameters. The system integrates multiple sensors including air quality, temperature, humidity, pressure, and rain sensors. The integration of the Wi- Fi module facilitates seamless data transfer from time to time to the central database, allowing remote access to weather data from a website or mobile application. User-friendly regular weather analysis. Air quality sensors detect pollutants and specific con- taminants to provide information on

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Leung, Carson, Peter Braun, and Alfredo Cuzzocrea. "AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning." Sensors 19, no. 6 (2019): 1345. http://dx.doi.org/10.3390/s19061345.

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In recent years, artificial intelligence (AI) and its subarea of deep learning have drawn the attention of many researchers. At the same time, advances in technologies enable the generation or collection of large amounts of valuable data (e.g., sensor data) from various sources in different applications, such as those for the Internet of Things (IoT), which in turn aims towards the development of smart cities. With the availability of sensor data from various sources, sensor information fusion is in demand for effective integration of big data. In this article, we present an AI-based sensor-in

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Song, Qing, Gao Jie Meng, Lu Yang, Dan Qing Du, and Xue Fei Mao. "Information Fusion and Application of Fiber-Capacitive Sensor." Advanced Materials Research 945-949 (June 2014): 1952–55. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1952.

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Droplet analysis technology is very important in the field of liquid detection. Optical fiber method is comparatively mature, but it is susceptible to the fluid velocity, volatility and other uncertain factors. Capacitive method is easy to be influenced by the environmental temperature. Above condition limit the practicability of droplet sensor to some extent. The multi-sensor information fusion technology is put forward in this paper to combine the optical fiber method and the capacitive method. The fiber-capacitive droplet sensor is especially designed, so that the data acquired from differe

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Wang, Xiao Wen. "The Research of Sensor Application Status." Applied Mechanics and Materials 651-653 (September 2014): 543–46. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.543.

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Sensing technology is a rapid development of technology, is one of the main technology of modern information technology, developed countries in recent years the use of sensors in the information society a new understanding and evaluation, and sensor technology has been widely used in various fields. This paper mainly introduces the temperature sensor, pressure sensor, displacement sensor, the principle and application of the current sensor.

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Ding, Zhenke, Zhongliang Deng, Enwen Hu, Bingxun Liu, Zhichao Zhang, and Mingyang Ma. "A New Scene Sensing Model Based on Multi-Source Data from Smartphones." Sensors 24, no. 20 (2024): 6669. http://dx.doi.org/10.3390/s24206669.

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Smartphones with integrated sensors play an important role in people’s lives, and in advanced multi-sensor fusion navigation systems, the use of individual sensor information is crucial. Because of the different environments, the weights of the sensors will be different, which will also affect the method and results of multi-source fusion positioning. Based on the multi-source data from smartphone sensors, this study explores five types of information—Global Navigation Satellite System (GNSS), Inertial Measurement Units (IMUs), cellular networks, optical sensors, and Wi-Fi sensors—characterizi

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Miao, Shenghuan, Ling Chen, Rong Hu, and Yingsong Luo. "Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 3 (2022): 1–25. http://dx.doi.org/10.1145/3550331.

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Multi-sensor-based wearable human activity recognition (WHAR) is a research hotspot in the field of ubiquitous computing. Extracting effective features from multi-sensor data is essential to improve the performance of activity recognition. Despite the excellent achievements of previous works, the challenge remains for modelling the dynamic correlations between sensors. In this paper, we propose a lightweight yet efficient GCN-based dynamic inter-sensor correlations learning framework called DynamicWHAR for automatically learning the dynamic correlations between sensors. DynamicWHAR is mainly c

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Idesawa, Masanori, and Editor. "Special Issue on Spatial Information Sensing." Journal of Robotics and Mechatronics 3, no. 3 (1991): 135. http://dx.doi.org/10.20965/jrm.1991.p0135.

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Humans are able to respond flexibly to changes in the environment -- grasping information of objects, environmental conditions and personal state -- via senses. As such, it is indispensable for an automatic machine such as a robot to be equipped with a sensing system corresponding to the human senses which permits flexible work in a 3-D environment. Acquisition of 3-dimensional environmental information is important in particular, and spatial information measures are regarded as indispensable for acquiring 3-D environmental information. The visual sense plays an important role for humans to ac

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