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检索条件"任意字段=2022 2nd International Conference on Detection Technology and Intelligence System, DTIS 2022"

共 1121 条记录，以下是1-10 订阅

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

2022 2nd International Conference on Detection Technology an...

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

The proceedings contain 46 papers. The topics discussed include: study on temperature measurement of petroleum product density analyzer based on hydrometer method;research and design of testing equipment for garbage containers;selection and design of excitation signal in test system;precision design of probe station calibration device for wafer test system;development of DC parameter calibration module for digital integrated circuit test system;experimental study on oil color grading based on uniform color space;process mineralogy automatic detection system in research of a gold polymetallic mine;study on measurement of adsorption capacity of unsymmetrical dimethylhydrazine gas based on stainless steel;analysis of impurities in sulfur hexafluoride gas via gas chromatography based on enhanced plasma detector;and intelligent monitoring system of access equipment in dispatching exchange network based on multi-layer immune model.

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Study on ultrasonic detection method of a honeycomb sandwich panel 2

Study on ultrasonic detection method of a honeycomb sandwich...

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

作者： Wang, Zhulin He, Xiao China Aircraft Strength Research Institute Xi'an710065 China State Key Laboratory for Strength and Vibration of Mechanical Structures Xi'an710049 China

A new material for the structure of the honeycomb sandwiched XinBi board has been in active service. In this paper, structural defects are embedded in the easily damaged parts of this new material, and the ultrasonic method is used to detect the easily damaged parts, and the acoustic signals and defect echo signals of the easily damaged parts are obtained, which provides a reference for damage evaluation of this kind of structures in site detection. © Published under licence by IOP Publishing Ltd.

关键词： Defects

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Design of Multi-sensor Fusion Positioning and Navigation Method Based on Federated Kalman Filter for Low-Speed Rotorcraft of Atmospheric detection 2

Design of Multi-sensor Fusion Positioning and Navigation Met...

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

作者： Yu, Binggang Chen, Lei Fatin Fatihur Rahman, Mohammad Department of Electronic and Information Engineering Hebei University of Technology Tianjin300401 China

A rotorcraft needs to accurately sample the predetermined path at a low flight rate when performing atmospheric sounding tasks;thus, it is particularly critical to obtain accurate positioning and navigation information in real-time. Hence, this paper designs a multi-sensor fusion positioning and navigation algorithm for atmospheric detection of low-speed rotorcraft. The multi-sensor fusion positioning and navigation algorithm for velocity and spatial position are presented based on the Federated Kalman Filter combined with the accelerometer, Global Positioning system (GPS), and barometer. The experimental results show that the fusion algorithm result of the velocity and spatial position is closer to the actual position than a single sensor. In conclusion, this paper's multi-sensor fusion positioning and navigation algorithm overcomes the problems of low positioning accuracy of a single sensor and cumulative errors and effectively improves positioning accuracy, real-time, and stability. © Published under licence by IOP Publishing Ltd.

关键词： Global positioning system

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A Strabismus detection system Based on Digital Twin 2

A Strabismus Detection System Based on Digital Twin

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2nd IEEE international conference on Sensors, Electronics and Computer Engineering, ICSECE 2024

作者： Xiong, Guohua Wang, Xianfeng Guangdong Construction Polytechnic Guangzhou China

ISBN: (纸本)9798350373646

Strabismus is a disease caused by extraocular muscles, which not only has serious consequences on vision, but also has a serious impact on patients' psychology, work and employment, quality of life, and other aspects. With the development of deep learning and artificial intelligence, modern computational image processing technology has been further improved, especially in areas such as image denoising, edge detection, image segmentation, target recognition, feature extraction, etc., making computer-aided intelligent strabismus diagnosis technology increasingly attracting the attention of researchers. However, the research in the field of intelligent strabismus diagnosis is not yet mature. This article constructs twin data based on the eye images of strabismus patients, references typical strabismus sign detection data and image libraries, and then uses the improved Faster R-CNN algorithm to implement an intelligent strabismus detection system based on 'digital twins', providing a certain reference for the in-depth research of intelligent strabismus detection and diagnosis. © 2024 IEEE.

关键词： Digital twin Faster R-CNN Strabismus detection

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Process Mineralogy Automatic detection system in Research of a Gold Polymetallic Mine 2

Process Mineralogy Automatic Detection System in Research of...

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

作者： Ji, Qiang Li, Guangsheng Zhu, Xingfu Gao, Tengyue Qin, Guanglin Xu, Chao Cai, Mingming Lu, Zhongbo Chen, Yanbo Zhang, Juntong Qin, Xiangwei Wang, Junjie Metallurgical Laboratory Branch of Shandong Gold Mining Technology Co.*Ltd. Laizhou261400 China Shandong Gold Mining Technology Co.*Ltd. Laizhou250000 China

Automatic process mineralogy detection system has been widely used in beneficiation process parameters detection, cause finding, and defect diagnosis in concentrators. A gold ore composition in Shandong is more complex, and recovery is difficult. To clarify the ore properties, mineral composition, main minerals, embedded characteristics, and monomer dissociation characteristics, the scanning electron microscope, BPMA, and energy spectrometer are used for the ore sample process mineralogy research to provide a reliable basis for the study of the selection process. The research shows that the main valuable elements in the ore are gold and copper, copper and gold symbiotic ore. Meanwhile, the gold, copper, and iron-containing minerals are closely embedded, pyrite and magnetite are the main minerals for sulfur recovery, and magnetite and limonite are the main minerals for producing iron concentrate. Automatic process mineralogy has played an important role in determining the selectability research and beneficiation process of the polymetallic gold ore. © Published under licence by IOP Publishing Ltd.

关键词： Beneficiation

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Digital Media Image Synthesis system Based on Network intelligence 2

Digital Media Image Synthesis System Based on Network Intell...

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2nd IEEE international conference on Data Science and Network Security, ICDSNS 2024

作者： Ma, Shiming School of Information Engineering Nanning University Guangxi Nanning China

ISBN: (纸本)9798350373110

At present, the rapid development of artificial intelligence (AI) and deep learning, and the progress of these information technologies have greatly improved the quality of image synthesis, meeting the needs of modern society for highquality visual content. This approach not only drives advances in digital media technology, but also provides new tools and possibilities for the entertainment, education and healthcare industries. Therefore, this paper mainly describes the research of digital media image synthesis system based on network intelligence, and focuses on network intelligence technology, digital media image synthesis technology, data-driven image synthesis, image style conversion based on deep learning, and automatic image restoration based on AI. Finally, the results of two sets of simulation experiments are as follows: the clarity and realism scores of the optimized synthesis system after image processing are increased by 9.6 points, and the operation efficiency of the image synthesis task is increased by 7.4%, and the resource consumption is reduced by 12.2%. © 2024 IEEE.

关键词： digital media image synthesis network intelligence system research

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Dynamic detection Based on Planar Array Capacitance for Adhesive Defects of Thermal Protection Structure 2

Dynamic Detection Based on Planar Array Capacitance for Adhe...

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

作者： Sun, Yurong Zhang, Yuyan Wen, Yintang Yanshan University Hebei Qinhuangdao066004 China

The defect detection of thermal protective structures is of great significance in ensuring the safe flight of aircraft. In this paper, a dynamic measurement method based on the planar capacitance sensing principle is proposed to solve the problem of detecting defects in the adhesive layer of large-area thermal protection structures. This paper analyses the principle of capacitive sensing and establishes a planar array capacitive dynamic detection system. The dielectric distribution of the structural components to be measured is obtained at different locations by moving the array of electrode sensors regularly. To obtain the dielectric distribution information of the complete structure, the dielectric distribution at adjacent locations is spliced and fused. To achieve the precise location of the overlapping areas in the image to be fused, an image alignment method based on coordinates is adopted. The experimental results show that our proposed method can detect defects in the adhesive layer of large-area thermal protection structures and achieve complete visualization of the adhesive layer. © Published under licence by IOP Publishing Ltd.

关键词： Location

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Comprehensive Out-of-context Misinformation detection via Global Information Enhancement 24

Comprehensive Out-of-context Misinformation Detection via Gl...

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2nd international conference on Advances in Artificial intelligence and Applications, AAIA 2024

作者： Shen, Meng Luo, Ziheng Liao, Yong University of Science and Technology of China Hefei China

ISBN: (纸本)9798400712883

False information that spreads rapidly on the Internet may have a negative impact on individuals, organizations, and society. Cheapfake, which refers to out-of-context misinformation, involves reusing the pairing of images and captions to support false descriptions. Out-of-context misinformation detection requires consideration of the global semantic understanding of images and intertwined contextual information. Currently, the baseline method don’t extract enough global *** paper uses visual-semantic reasoning to extract the global features of images and texts, and proposes a new detection framework that employs fake statement checking and multimodal natural language inference to determine whether the input triples are cheapfake through multiple steps. The accuracy of our method is 3.4% higher than that of the baseline method, and it also has its own advantages compared with other improved methods. © 2024 Copyright held by the owner/author(s).

关键词： Semantics

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Target Recognition Network Based on Improved Convolutional Regression Network 2

Target Recognition Network Based on Improved Convolutional R...

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

作者： Zhang, Shuang Song, Jinyu Li, Weiwei School of Mechatronic Engineering Changchun Institute of Technology Changchun130012 China School of Mechatronic Engineering Changchun University of Science and Technology Changchun130012 China

For refine the regression precision and speed of convolutional neural recognition network, propose improved detection and identification algorithm on the basis of deep learning algorithms, mainly aiming at improving the accuracy and speed of regression prediction of target recognition. Firstly, the acquired images are preprocessed in batches to obtain image datasets with different sizes of detection objects, that is, the enhancement of small sample images. Secondly, the one-stage target detection network SSD algorithm is improved. ResNet50 network is used to extract features, while FPN is fused with the main algorithm to ameliorate the detection network, which purpose is to improve the target detection accuracy. The test results on remote sensing datasets show that the actual accuracy was elevated to about 0.9% compared to the conventional algorithm. The speed in the actual measurement is also increased by 0.6 frame/s. © Published under licence by IOP Publishing Ltd.

关键词： Object detection

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Selection and Design of Excitation Signal in Test system 2

Selection and Design of Excitation Signal in Test System

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2022 2nd international conference on detection technology and intelligence system, dtis 2022

作者： Zhang, Na Wu Liu, Chun College of Intelligence Science National University of Defense Technology Changsha China

Both the test system and testing technology are inseparable from the selection and construction of the excitation signal. This paper shows excitation signals including transient excitation, harmonic excitation, random signal excitation, etc, which are commonly used in the time domain, frequency domain, and correlation analysis of the stimulus-response test. Moreover, the selection and design method of excitation signals in the test system is introduced based on the principle of signal analysis and system identification, combined with research and engineering practice experience. The application of different excitation signals in modal tests and device characterization is described at the end of this paper. © Published under licence by IOP Publishing Ltd.

关键词： Frequency domain analysis

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