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Journal articles on the topic 'Multisensor'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Nur, Rachman Supadmana Muda, Faranadila Bilqis, and Fadilah M.Faisal. "Implementation of Multisensor to Detect Vibration, Sound and Image of Combat Vehicles Use Artificial Neural Networks." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 2 (2024): 7. https://doi.org/10.5281/zenodo.10720432.

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Multisensors in general used in the military world as system sensing far to aim For detect existence object Good sound , vibration nor image around with use wave electromagnetic . With do application computing systematic, will obtained A visual depiction of representation from medium object observed. Implementation Multisensor can utilise principle radiation and reflection wave electromagnetic or wave sound on energy levels and intervals time certain. With do application computing systematic, will obtained a visual depiction of representation from medium object observed. Although modern multis

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2

Lin, Tsun-Kuo. "PCA/SVM-Based Method for Pattern Detection in a Multisensor System." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6486345.

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This paper presents a multivariate analysis framework for pattern detection in a multisensor system; the proposed principal component analysis (PCA)/support vector machine- (SVM-) based supervision scheme can identify patterns in the multisensory system. Although the PCA and SVM are commonly used in pattern recognition, an effective methodology using the PCA/SVM for multisensory system remains unexplored. Pattern detection in a multisensor system has long been a challenge. For example, object inspections in multisensor systems are difficult to perform because inspectors might fail to use multi

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Zenevich, A. O., S. V. Zhdanovich, H. V. Vasilevski, A. A. Lagutik, T. G. Kovalenko, and T. M. Lukashik. "Research of multisensor characteristics based on optical fiber." Doklady BGUIR 19, no. 1 (2021): 70–78. http://dx.doi.org/10.35596/1729-7648-2021-19-1-70-78.

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The research results of multisensors based on optical fiber, the principle of which is to change the conditions of propagation of optical radiation in the optical fiber in the places where macro-bends are formed at the points of impact, are presented in the paper. The formation of macro-bends leads to an additional attenuation of the power of optical radiation propagating through the optical fiber. A single-mode optical fiber was used with the parameters, which are supported by numerous manufacturers and comply with the recommendations of ITU-T G.655. The measurements were carried out for four

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4

Bryndin, Evgeniy. "Creation of multimodal digital twins with reflexive AGI multilogic and multisensory." Research on Intelligent Manufacturing and Assembly 2, no. 1 (2024): 85–93. http://dx.doi.org/10.25082/rima.2023.01.005.

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Reflexive AGI multilogic, multimodality and multisensors are the basis for the multidisciplinary development of intelligent digital twins. Multimodality is implemented in several formats: text, image, speech, formulas, etc. Multilogic is implemented according to several rules or methods or ways of working with knowledge and data, and the criterion for selecting the best result from all implementations. AGI multilogic carries out judgment, understanding, perception, comparison, analysis, choice, etc. Understanding is realized using the technology of unified objectification of the ontology of su

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Bryndin, Evgeny. "Theoretical Aspects of Creating Multimodal Digital Twins with AGI Multilogic and Multisensory." Journal of Progress in Engineering and Physical Science 3, no. 3 (2024): 40–47. http://dx.doi.org/10.56397/jpeps.2024.09.05.

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AGI multilogic, multimodality and multisensors are the basis for the multidisciplinary development of intelligent digital twins. Multimodality is implemented in several formats: text, image, speech, formulas, etc. Multilogic is implemented according to several rules or methods or ways of working with knowledge and data, and the criterion for selecting the best result from all implementations. AGI multilogic carries out judgment, understanding, perception, comparison, analysis, choice, etc. Understanding is realized using the technology of unified objectification of the ontology of subject area

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6

Bogomolov, Andrey. "Developing Multisensory Approach to the Optical Spectral Analysis." Sensors 21, no. 10 (2021): 3541. http://dx.doi.org/10.3390/s21103541.

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This article presents an overview of research aimed at developing a scientific approach to creating multisensor optical systems for chemical analysis. The review is mainly based on the author’s works accomplished over the recent 10 years at Samara State Technical University with broad international cooperation. It consists of an introduction and five sections that describe state of the art in the field of optical sensing, suggested development methodology of optical multisensor systems, related aspects of experimental design and process analytical technology followed by a collection of practic

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Sanjaya, Muhammad Fahyu, Ummu Kalsum, and Andi Rosman N. "PENERAPAN TEKNOLOGI CERDAS PENYIRAMAN TANAMAN HIDROPONIK BERBASIS MIKROKONTROLER DAN MULTISENSOR PADA PEMBUDIDAYA TANAMAN HIDROPONIK KABUPATEN MAJENE." Jurnal Abdi Insani 10, no. 3 (2023): 1880–89. http://dx.doi.org/10.29303/abdiinsani.v10i3.1113.

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Smart technology has provided many benefits for all human activities, including hydroponic farming systems. The consistent challenge in the process of cultivating plants using hydroponic systems is the monitoring of partner farmers in managing plant nutrition. Smart technology, utilizing microcontrollers and multisensors, can enhance hydroponic management, particularly concerning the control of nutrient availability, including saturation, water pH, and water availability in the hydroponic system. The purpose of this activity is to address partner-related issues regarding their lack of knowledg

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8

LIU, QING (CHARLIE), and HSU-PIN (BEN) WANG. "A case study on multisensor data fusion for imbalance diagnosis of rotating machinery." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 15, no. 3 (2001): 203–10. http://dx.doi.org/10.1017/s0890060401153011.

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Techniques for machine condition monitoring and diagnostics are gaining acceptance in various industrial sectors. They have proved to be effective in predictive or proactive maintenance and quality control. Along with the fast development of computer and sensing technologies, sensors are being increasingly used to monitor machine status. In recent years, the fusion of multisensor data has been applied to diagnose machine faults. In this study, multisensors are used to collect signals of rotating imbalance vibration of a test rig. The characteristic features of each vibration signal are extract

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9

Han, Youkyung, Jaewan Choi, Jinha Jung, Anjin Chang, Sungchan Oh, and Junho Yeom. "Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms." Journal of Sensors 2019 (April 14, 2019): 1–10. http://dx.doi.org/10.1155/2019/2962734.

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Image coregistration is a key preprocessing step to ensure the effective application of very-high-resolution (VHR) orthophotos generated from multisensor images acquired from unmanned aerial vehicle (UAV) platforms. The most accurate method to align an orthophoto is the installation of air-photo targets at a test site prior to flight image acquisition, and these targets were used as ground control points (GCPs) for georeferencing and georectification. However, there are time and cost limitations related to installing the targets and conducting field surveys on the targets during every flight.

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10

Chen, Guo, Zhigui Liu, Guang Yu, and Jianhong Liang. "A New View of Multisensor Data Fusion: Research on Generalized Fusion." Mathematical Problems in Engineering 2021 (October 15, 2021): 1–21. http://dx.doi.org/10.1155/2021/5471242.

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Multisensor data generalized fusion algorithm is a kind of symbolic computing model with multiple application objects based on sensor generalized integration. It is the theoretical basis of numerical fusion. This paper aims to comprehensively review the generalized fusion algorithms of multisensor data. Firstly, the development and definition of multisensor data fusion are analyzed and the definition of multisensor data generalized fusion is given. Secondly, the classification of multisensor data fusion is discussed, and the generalized integration structure of multisensor and its data acquisi

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11

Tibbetts, Jake, Bethany L. Goldblum, Christopher Stewart, and Arman Hashemizadeh. "Classification of Nuclear Reactor Operations Using Spatial Importance and Multisensor Networks." Journal of Nuclear Engineering 3, no. 4 (2022): 243–62. http://dx.doi.org/10.3390/jne3040014.

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Distributed multisensor networks record multiple data streams that can be used as inputs to machine learning models designed to classify operations relevant to proliferation at nuclear reactors. The goal of this work is to demonstrate methods to assess the importance of each node (a single multisensor) and region (a group of proximate multisensors) to machine learning model performance in a reactor monitoring scenario. This, in turn, provides insight into model behavior, a critical requirement of data-driven applications in nuclear security. Using data collected at the High Flux Isotope Reacto

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12

Semenova, V. A., and E. M. Petrenko. "Identification and Comparative Analysis of Alkaloids by Inversion Voltammetry Method." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 6 (87) (December 2019): 113–21. http://dx.doi.org/10.18698/1812-3368-2019-6-113-121.

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The alkaloids concurrent detection and identification in the samples by the method of multisensory inversion voltammetry is the purpose of the work. To achieve this goal, the proposed method has been substantiated, the composition of the electrochemical test system has been optimized taking into account the specifics of the detected substances, and informative signs that characterize the presence of alkaloids in the studied sample have been found. A new approach, consisting in the use of an electrochemical multisensor test system in the form of a solution containing a set of metal ions that ca

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13

Alfonsi, Alfonso, Raiza Yánez, and Alfonso R. Alfonsi. "Modelo de sistema multisensor con enfoque de muestreo multifrecuencia." RECIBE, REVISTA ELECTRÓNICA DE COMPUTACIÓN, INFORMÁTICA, BIOMÉDICA Y ELECTRÓNICA 10, no. 1 (2021): E1—E25. http://dx.doi.org/10.32870/recibe.v10i1.163.

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En la fase temprana de diseño de un multisensor están las especificaciones funcionales que establecen el comportamiento sus señales, donde es importante analizar la influencia de los tiempos de muestreo en el despliegue temporal entre los datos de entrada y salida disponibles del multisensor, como del enlace de comunicación que pudieran utilizar. Por tanto, en este trabajo se desarrolla un modelo de sistema multisensor considerando múltiples señales con periodos de muestreo que pueden ser diferentes del proceso y datos de estado, incluyendo la limitación temporal del enlace de comunicación. El

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14

Di, Peng, Xuan Wang, Tong Chen, and Bin Hu. "Multisensor Data Fusion in Testability Evaluation of Equipment." Mathematical Problems in Engineering 2020 (November 30, 2020): 1–16. http://dx.doi.org/10.1155/2020/7821070.

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The multisensor data fusion method has been extensively utilized in many practical applications involving testability evaluation. Due to the flexibility and effectiveness of Dempster–Shafer evidence theory in modeling and processing uncertain information, this theory has been widely used in various fields of multisensor data fusion method. However, it may lead to wrong results when fusing conflicting multisensor data. In order to deal with this problem, a testability evaluation method of equipment based on multisensor data fusion method is proposed. First, a novel multisensor data fusion metho

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15

Liu, Bao Jun. "Study on Multisensor Data Fusion of Ultrasonic Sensor." Advanced Materials Research 722 (July 2013): 44–48. http://dx.doi.org/10.4028/www.scientific.net/amr.722.44.

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Aiming at data fusion of Autonomous car multisensors experiment at many times on distances, a novel fusion method is proposed based on the approach degree and weights. The method calculate mean and variance based on the measured sensors data, Using the maximum and minimum approach degree of this fuzzy set , the approach degree of the measured data from various sensors is processed quantitatively ,eliminating outlier data by Grubbs method, assigned the weights of data measured in the fusion process reasonably , so that the final expression of the data fusion is obtained, thus the data fusion of

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16

Henderson, T., E. Weitz, C. Hansen, and A. Mitiche. "Multisensor Knowledge Systems." International Journal of Robotics Research 7, no. 6 (1988): 114–33. http://dx.doi.org/10.1177/027836498800700609.

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17

Polla, D. L., R. S. Muller, and R. M. White. "Integrated multisensor chip." IEEE Electron Device Letters 7, no. 4 (1986): 254–56. http://dx.doi.org/10.1109/edl.1986.26363.

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18

Stewart, Robert E. "Vibration accelerometer‐multisensor." Journal of the Acoustical Society of America 84, no. 6 (1988): 2303. http://dx.doi.org/10.1121/1.397012.

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19

Stewart, Robert E. "Vibration accelerometer‐multisensor." Journal of the Acoustical Society of America 84, no. 6 (1988): 2303. http://dx.doi.org/10.1121/1.397013.

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20

Nannuru, Santosh, Stephane Blouin, Mark Coates, and Michael Rabbat. "Multisensor CPHD filter." IEEE Transactions on Aerospace and Electronic Systems 52, no. 4 (2016): 1834–54. http://dx.doi.org/10.1109/taes.2016.150265.

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21

Guinea, D., L. J. Barrios, and A. Ruiz. "Multisensor information integration." Sensor Review 10, no. 3 (1990): 133–36. http://dx.doi.org/10.1108/eb007826.

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22

Varshney, P. K. "Multisensor data fusion." Electronics & Communication Engineering Journal 9, no. 6 (1997): 245–53. http://dx.doi.org/10.1049/ecej:19970602.

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23

Nelson, Brian R., D.-J. Seo, and Dongsoo Kim. "Multisensor Precipitation Reanalysis." Journal of Hydrometeorology 11, no. 3 (2010): 666–82. http://dx.doi.org/10.1175/2010jhm1210.1.

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Abstract Temporally consistent high-quality, high-resolution multisensor precipitation reanalysis (MPR) products are needed for a wide range of quantitative climatological and hydroclimatological applications. Therefore, the authors have reengineered the multisensor precipitation estimator (MPE) algorithms of the NWS into the MPR package. Owing to the retrospective nature of the analysis, MPR allows for the utilization of additional rain gauge data, more rigorous automatic quality control, and post factum correction of radar quantitative precipitation estimation (QPE) and optimization of key p

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24

Rachkov, Michael Yu, Lino Marques, and AnÍbal T. de Almeida. "Multisensor Demining Robot." Autonomous Robots 18, no. 3 (2005): 275–91. http://dx.doi.org/10.1007/s10514-005-6840-y.

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25

Wei, Daozhi, Zhaoyu Zhang, Jiahao Xie, Liang fu Yao, and Ning Li. "Multisensor Hybrid Dynamic Alliance Formation Problem Using Sensitive Particle-Based Dynamic Discrete PSO." Mathematical Problems in Engineering 2021 (December 9, 2021): 1–14. http://dx.doi.org/10.1155/2021/2997983.

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In recent years, with the wide application and popularization of artificial intelligence algorithm in the field of multisensor information processing, it has been a research hotspot to solve the problem of sensor alliance formation in the battlefield environment by using multisensor cross-cueing technology. Based on the establishment of the multisensor hybrid dynamic alliance model and objective function, a multisensor cross-cueing algorithm based on dynamic discrete particle swarm optimization (DDPSO) with sensitive particles is proposed and a mechanism of “predict re-predict” is proposed in

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26

Wang, Changhui. "Sample Density Clustering Method Considering Unbalanced Data Distribution." Mobile Information Systems 2022 (September 15, 2022): 1–8. http://dx.doi.org/10.1155/2022/7580468.

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The data distribution of the multidimensional array sensor is unbalanced in data sample collection. To improve the clustering ability of data samples, a data density clustering method of sparse scattered points and multisensor array sensor samples based on the analysis of unbalanced data distribution characteristics is proposed. The sparse scattered multisensor array network’s sample data collection structure is created using the Voronoi polygon topology. By analyzing the unbalanced parameters between data classes and reconstructing the characteristic space of data sample sequence, the time se

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27

Lei, Yang, Yong Zou, Bo Jiang, and Tian Tian. "Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm." Computational Intelligence and Neuroscience 2022 (April 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/2459996.

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With the rapid development of science and technology, testing equipment and testing methods are constantly updated. Radar detectors have the advantages of losslessness, high efficiency, high resolution, and high-speed radar image capture. They can accurately locate defects in railway tunnels, respond to hidden dangers in time, and provide strong technical support for transportation. This paper proposes to optimize the defect detection of railway tunnel radar through the combination of multisensor technology and active interference suppression algorithm and designs the corresponding sensor syst

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Lei, Yang, Yong Zou, Bo Jiang, and Tian Tian. "Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm." Computational Intelligence and Neuroscience 2022 (April 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/2459996.

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With the rapid development of science and technology, testing equipment and testing methods are constantly updated. Radar detectors have the advantages of losslessness, high efficiency, high resolution, and high-speed radar image capture. They can accurately locate defects in railway tunnels, respond to hidden dangers in time, and provide strong technical support for transportation. This paper proposes to optimize the defect detection of railway tunnel radar through the combination of multisensor technology and active interference suppression algorithm and designs the corresponding sensor syst

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29

Wenhao, Dong. "Multisensor Information Fusion-Assisted Intelligent Art Design under Wireless Virtual Reality Environment." Journal of Sensors 2021 (December 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/6119127.

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Under the background of intelligent technologies, art designers need to use information technology to assist the design of art factors and fully realize the integration of art design and information technology. Multisensor information fusion technology can more intuitively and visually carry out a more comprehensive grasp of the objectives to be designed, maximize the positive effects of art design, and achieve its overall optimization and can also help art designers get rid of the traditional monolithic and obsolete design concepts. Based on multisensor information fusion technology under wir

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Romanov, Volodymyr, Igor Galelyuka, Oleksandr Voronenko, Oleksandra Kovyrova, Hanna Antonova, and Anna Kedych. "Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products." Cybernetics and Computer Technologies, no. 1 (April 28, 2023): 58–73. http://dx.doi.org/10.34229/2707-451x.23.1.6.

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The application of information and wireless technologies, multisensor and biosensor devices, as well as sensor networks based on them to control the parameters of technological processes in different industries makes it possible to greatly improve the quality of final products and reduce losses of raw materials at all stages of production and storage. This covers both the industrial production of consumer goods and the food and processing industry. The article describes the developing and testing of network of wireless smart biosensor devices for food industry, namely for controlling the quali

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Zhou, Yuqing, and Wei Xue. "A Multisensor Fusion Method for Tool Condition Monitoring in Milling." Sensors 18, no. 11 (2018): 3866. http://dx.doi.org/10.3390/s18113866.

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Tool fault diagnosis in numerical control (NC) machines plays a significant role in ensuring manufacturing quality. Tool condition monitoring (TCM) based on multisensors can provide more information related to tool condition, but it can also increase the risk that effective information is overwhelmed by redundant information. Thus, the method of obtaining the most effective feature information from multisensor signals is currently a hot topic. However, most of the current feature selection methods take into account the correlation between the feature parameters and the tool state and do not an

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Karimi, Meysam, Mohammad Rabiee, Mojgan Abdolrahim, Mohammadreza Tahriri, Daryoosh Vashayee, and Lobat Tayebi. "High Sensitivity Electrochemical Multisensors based on Graphene-PANI Nanocomposite for Simultaneous Detection of Glucose and Urea." Journal of New Materials for Electrochemical Systems 19, no. 3 (2016): 145–50. http://dx.doi.org/10.14447/jnmes.v19i3.311.

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We present a study of the effect of graphene–PANI nanocomposites on the sensitivity of the urea and glucose multisensory. We used an electroctrochemical multisensor based on two electrodes located in a reservoir with two separate channels. The urease and glu-cose oxidase (GOD) were employed for detecting the urea and glucose, respectively. We characterized the graphene and graphene-PANI samples with X-ray Diffraction (XRD) analysis and scanning electron microscopy (SEM) observations. We further performed the Cyclic voltammetry and Amperometry tests. The collected experimental results revealed

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Xu, Tao. "Performance of VR Technology in Environmental Art Design Based on Multisensor Information Fusion under Computer Vision." Mobile Information Systems 2022 (April 23, 2022): 1–10. http://dx.doi.org/10.1155/2022/3494535.

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Multisensor information fusion technology is a symbol of scientific and technological progress. This paper is aimed at discussing the performance of virtual reality (VR) technology in the environmental art design of multisensor information fusion technology. This paper prepares some related work in the early stage and then lists the algorithms and models, such as the multisensor information fusion model based on VR instrument technology, and shows the principle of information fusion and GPID bus structure. This paper describes the multisensor information fusion algorithm to analyze DS evidence

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Jiang, Lan. "Artificial Intelligence Algorithms for Multisensor Information Fusion Based on Deep Learning Algorithms." Mobile Information Systems 2022 (April 13, 2022): 1–10. http://dx.doi.org/10.1155/2022/3356213.

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Artificial intelligence (AI) has been widely used all over the world. AI can be applied not only in mechanical learning and expert system but also in knowledge engineering and intelligent information retrieval and has achieved amazing results. This article aims to study the relevant knowledge of deep learning algorithms and multisensor information fusion and how to use deep learning algorithms and multisensor information fusion to study AI algorithms. This paper raises the question of whether the improved multisensor information fusion will affect the AI algorithm. From the data in the experim

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OLIVEIRA, Élcio Jeronimo de. "MULTISENSOR DATA FUSION TECHNOLOGY." Periódico Tchê Química 07, no. 14 (2010): 30–34. http://dx.doi.org/10.52571/ptq.v7.n14.2010.31_periodico14_pgs_30_34.pdf.

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The data fusion from multiple sensors is one of the areas and technologies of interest to national defense (Ministry of Defense of Brazil). Approximately 20 years ago, several methods of data fusion were introduced. Such methods are generally related to the defense sector, but data fusion can also be applied in other areas such as medical diagnostics, industry, etc. A simple way to explain its operation is to state that this technology combines information from several sensors in order to produce other, more accurate information.

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Richardson, John M., and Kenneth A. Marsh. "Fusion of Multisensor Data." International Journal of Robotics Research 7, no. 6 (1988): 78–96. http://dx.doi.org/10.1177/027836498800700607.

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Hussain, A. M. "Multisensor distributed sequential detection." IEEE Transactions on Aerospace and Electronic Systems 30, no. 3 (1994): 698–708. http://dx.doi.org/10.1109/7.303740.

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Onwubiko, Cyril. "Multisensor message exchange mechanism." International Journal of Electronic Security and Digital Forensics 1, no. 4 (2008): 387. http://dx.doi.org/10.1504/ijesdf.2008.021456.

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Castella, F. R. "Multisensor, multisite tracking filter." IEE Proceedings - Radar, Sonar and Navigation 141, no. 2 (1994): 75. http://dx.doi.org/10.1049/ip-rsn:19941010.

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Chung, Soon-Yeong, and Nam Kee Lee. "A Multisensor Deconvolution Problem." Journal of Fourier Analysis and Applications 11, no. 4 (2005): 389–406. http://dx.doi.org/10.1007/s00041-005-4029-6.

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Trömel, Silke, Alexander V. Ryzhkov, Malte Diederich, et al. "Multisensor Characterization of Mammatus." Monthly Weather Review 145, no. 1 (2017): 235–51. http://dx.doi.org/10.1175/mwr-d-16-0187.1.

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Abstract Multisensor observations of anvil mammatus are analyzed in order to gain a more detailed understanding of their spatiotemporal structure and microphysical characterization. Remarkable polarimetric radar signatures are detected for the Pentecost 2014 supercell in Northrhine Westfalia, Germany, and severe storms in Oklahoma along their mammatus-bearing anvil bases. Radar reflectivity at horizontal polarization ZH and cross-correlation coefficient ρHV decrease downward toward the bottom of the anvil while differential reflectivity ZDR rapidly increases, consistent with the signature of c

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Kypris, Dedalos, Georgios Nikolaou, Eustathios Evangellides, and Damianos Neocleous. "A Hydraulic Evapotranspiration Multisensor." AgriEngineering 4, no. 4 (2022): 1164–70. http://dx.doi.org/10.3390/agriengineering4040072.

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An exclusively mechanical stand-alone automatic device, self-adjusting to weather changes for controlled irrigation, that operates only on the energy of piped water, without electricity, is the described low-cost “Hydraulic Evapotranspiration Multisensor-HEM”. It is composed of an Evaporation Pan with water left to evaporate, a Floater with a Magnet floating in this water, a Hydraulic Device managing a Hydraulic Water Valve having means to adjust irrigation frequency, and a system that returns water to said Pan, through an Adjustable Dripper, to replace that lost by evaporation. During the Eva

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Rautenberg, Jens, Klaus Beringer, Achim Stark, et al. "Konzentrationsmessung mit akustischem Multisensor." JOT Journal für Oberflächentechnik 55, no. 10 (2015): 56–58. http://dx.doi.org/10.1007/s35144-015-0752-1.

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Xie, Jiahao, Daozhi Wei, Shucai Huang, and Xiangwei Bu. "A Sensor Deployment Approach Using Improved Virtual Force Algorithm Based on Area Intensity for Multisensor Networks." Mathematical Problems in Engineering 2019 (February 27, 2019): 1–9. http://dx.doi.org/10.1155/2019/8015309.

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Sensor deployment is one of the major concerns in multisensor networks. This paper proposes a sensor deployment approach using improved virtual force algorithm based on area intensity for multisensor networks to realize the optimal deployment of multisensor and obtain better coverage effect. Due to the real-time sensor detection model, the algorithm uses the intensity of sensor area to select the optimal deployment distance. In order to verify the effectiveness of this algorithm to improve coverage quality, VFA and PSOA are selected for comparative analysis. The simulation results show that th

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Wang, Cui. "Advanced Intelligent English Translation Based on Multisensor Data Fusion Optimization." Journal of Sensors 2022 (September 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/5951127.

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English translation activity course is of great significance to cultivate students’ English translation level. In the context of multisensor data fusion, how to effectively carry out English translation activity course in colleges and universities has become an important topic. The educational value and intellectual property of advanced Intelligent English translation activity course are analyzed. From multisensor data fusion and the improvement of translation, translators psychological changes of the boot and prominent features, English translation activity and translation, the generality of

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Caduff, Andreas, Mattia Zanon, Pavel Zakharov, et al. "First Experiences With a Wearable Multisensor in an Outpatient Glucose Monitoring Study, Part I: The Users’ View." Journal of Diabetes Science and Technology 12, no. 3 (2018): 562–68. http://dx.doi.org/10.1177/1932296817750932.

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Background: Extensive past work showed that noninvasive continuous glucose monitoring with a wearable Multisensor device worn on the upper arm provides useful information about glucose trends to improve diabetes therapy in controlled and semicontrolled conditions. Methods: To test previous findings also in uncontrolled in-clinic and outpatient conditions, a long-term study has been conducted to collect Multisensor and reference glucose data in a population of 20 type 1 diabetes subjects. A total of 1072 study days were collected and a fully on-line compatible algorithmic routine linking Multis

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Ma, Zhonglin, Zhihao Yu, and Jingshan Zhang. "Sports Information Acquisition and Functional Training System Based on Multisensor Information Fusion." Journal of Sensors 2021 (September 1, 2021): 1–12. http://dx.doi.org/10.1155/2021/6941258.

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Since entering the 21st century, multisensor information fusion technology has developed rapidly, and multisensor information fusion is a trend in the coming years and even decades. This article is aimed at studying how the traditional sports information acquisition and functional training system can be implemented under the multisensor information fusion. This article proposes the use of multisensor information fusion technology to conduct an in-depth study on the traditional ways of acquiring sports information and the cognition of sports information by different groups of people, as well as

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Li, Wangyan, Zidong Wang, Guoliang Wei, Lifeng Ma, Jun Hu, and Derui Ding. "A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks." Discrete Dynamics in Nature and Society 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/683701.

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Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development of multisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations, which ubiquitously exist in most of distributed filtering problems. Next, we give a systematic review on several widely used consensus filtering approaches. Furthermore, some latest progress on multisensor fusion and co

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Oleneva, Ekaterina, Maria Khaydukova, Julia Ashina, et al. "A Simple Procedure to Assess Limit of Detection for Multisensor Systems." Sensors 19, no. 6 (2019): 1359. http://dx.doi.org/10.3390/s19061359.

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Currently, there are no established procedures for limit of detection (LOD) evaluation in multisensor system studies, which complicates their correct comparison with other analytical techniques and hinders further development of the method. In this study we propose a simple and visually comprehensible approach for LOD estimation in multisensor analysis. The suggested approach is based on the assessment of evolution of mean relative error values in calibration series with growing analyte concentration. The LOD value is estimated as the concentration starting from which MRE values become stable

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Wang, Xin, Qi Dan Zhu, and Ye Bin Wu. "A Measurement Fusion Fault-Tolerating PID Control for Time-Delay System with Colored Noise Disturbance." Key Engineering Materials 419-420 (October 2009): 589–92. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.589.

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The designing method of filtering, fault-tolerating, and fusing PID control is put forward, concerning multisensor time-delay system with colored noise disturbance. First of all, this method detects fault and isolate the data by the weighted square sum of residuals (WSSR) method which is measured by multisensors, then the data which is detected right will be measurement fused, and the fused data will be optimally filtered basing on modern time series analysis method. Finally, the global optimal estimation of measured data will be got, which will be brought back to the input endian in order to

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