Research on Multi-Source Information Fusion Technology

Li, Hongxia; Guo, Xiurong

doi:10.2991/assehr.k.200207.005

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…This is all thanks to the information Journal of Sensors fusion technology, which realizes multisource information detection of targets and improves the object recognition rate, using computer technology to automatically analyze and comprehensively process the observation information of several sensors obtained in time series under certain criteria, so as to complete the required decision-making and estimation tasks and the information processing process. For information-related, combined and analyzed by multisensing equipment, information with higher comprehensive value can be obtained [23]. The average value fusion algorithm usually uses a mathematical average formula, which is a sensor with roughly the same weight value selected, abbreviated as MVFA.…”

Section: Weighted Information Fusion Algorithmmentioning

confidence: 99%

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

Sun

2022

Journal of Sensors

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The main purpose of smart city is to improve the quality of life, improve the efficiency of life, and save the energy resources of life, which is in line with the current global concept of low-carbon environmental protection, energy saving and emission reduction, and ecological sustainable development. Under the process of smart city, the development of urban public space is also committed to meeting the material and spiritual needs of residents’ lives. For the system hardware design, the street lamp node, and the concentrator node hardware design, the sensing node is composed of multiple sensors. Its main components are temperature sensor, infrared sensor, sound sensor, and light intensity sensor, which, respectively, realize the collection of temperature, infrared, sound, and light intensity information. The street light sensing system uses multisensor information fusion technology to detect the situation of people and vehicles in real time, so that people and vehicles can turn on the street lights and turn off the street lights of unmanned vehicles. Adjust the street light switch according to the intelligent analysis of the lighting demand scene in order to enhance the accuracy of the system to identify the lighting demand scene. This enables the system to provide safe lighting conditions for urban traffic while saving the power consumption of urban lighting. The sensor system of the street light randomly selects the detection results of temperature and humidity within a certain period of time. The error rate of the final test result is 1/2 of that of the traditional test, and the accuracy is far lower than that of the traditional measurement method. Regarding the lighting system of street lamps and public art in urban public spaces, it is worthy of extensive promotion to control street lamp lighting through sensor information fusion technology and reduce energy consumption.

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Section: Weighted Information Fusion Algorithmmentioning

confidence: 99%

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

Sun

2022

Journal of Sensors

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“…Liu et al [92] demonstrate the application process of converting a BIM model into 3DP STL format, importing the STL format into Cura 3D software, and adjusting the printing parameter set to produce the G-code used for the 3D printer.…”

Section: Phases Benefitsmentioning

confidence: 99%

Additive Manufacturing Applications for Industry 4.0: A Systematic Critical Review

et al. 2020

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Additive manufacturing, including 3D printing (3DP), is one of the critical pillars of Industry 4.0 and the next construction revolution. Several countries, including China, have utilized 3DP on larger scales or real projects. However, reviews of the lessons learned from previous large-sized practices of 3DP utilization are scarce. This paper presents a few practical applications of implementing 3DP over the past decade and suggests a direction for future research work. Recent publications on 3DP practices are systematically reviewed using an interpretivist philosophical lens, and more specifically, the nozzle characteristics are focused upon. The Scopus and China National Knowledge Infrastructure (CNKI) journal databases are utilized, resulting in the examination of 54 English and 62 Chinese papers. The selected practices from Mainland China, Hong Kong, Taiwan and Macao are considered for this review. A content critical review approach is adopted, and the identified papers are critically reviewed. These papers reported key challenges and advantages from their reported practices, such as limitations in aggregate sizes, nozzle sizes, standards, post-occupancy satisfaction, final product quality, productivity challenges and other associated risks. The paper reports upon prominent limitations and signposts directions for future investigations.

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“…The processing of infrared and visible images through image fusion can help combine the advantages of the two images, thus generating an image that not only has rich detail and texture information but also highlights the camouflage target. Infrared and visible image fusion is used in various fields such as medical [1], remote sensing [2, 3], military [4], agriculture [5], security [6], and transportation [7].…”

Section: Introductionmentioning

confidence: 99%

MMFuse: A multi‐scale infrared and visible images fusion algorithm based on morphological reconstruction and membership filtering

Zhao

Yang

Dong³

et al. 2022

IET Image Processing

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This study proposes a multi‐scale transformation method based on morphological reconstruction and membership filtering, termed as MMFuse, to fuse infrared and visible images. This method employs a fuzzy c‐means clustering algorithm for multi‐scale decomposition by introducing morphological reconstruction operations and modifying member partitions to ensure noise resistance and image detail preservation. In addition, the MMFuse utilises the image attributes of layers as their fusion weights at each scale for adaptive feature fusion, which reduces the difficulty of manual adjustment of fusion weights. Moreover, on the basis of histogram enhancement, a visible image enhancement method is proposed, which can help exploit additional texture details in low‐light visible images and transfer these details to the fused image. The experiments performed on public datasets indicates that the MMFuse can generate sharp and clean fused images with high robustness and good fusion results for the images corrupted by different noises. Moreover, the results of this method appear as high‐quality visible images with clear highlighted infrared targets.

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Research on Multi-Source Information Fusion Technology

Cited by 9 publications

References 5 publications

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

Additive Manufacturing Applications for Industry 4.0: A Systematic Critical Review

MMFuse: A multi‐scale infrared and visible images fusion algorithm based on morphological reconstruction and membership filtering

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