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2024 International Conference on Image, Signal Processing, and Pattern recognition, ISPP 2024

作者： Xiao, Nan Luo, Fei Cao, Liang College of Software Engineering Chengdu University of Information Technology Sichuan Chengdu China Yunnan R&D Institute of Natural Disaster Chengdu University of Information Technology Yunnan Kunming China Automatic Software Generation and Intelligent Service Key Laboratory of Sichuan Province Sichuan Chengdu China CMA - CUIT Meteorological Software Engineering Joint Research Center Sichuan Chengdu China

ISBN: (纸本)9781510680425

The accurate prediction of low-visibility has important application value to the normal operation of navigation, aviation and other transportation vehicles. However, the current low-visibility prediction task mostly uses time series model to extract temporal features, but neglects the spatial correlation between national observation stations. Additionally, those time series model require that the input data must be limited to the Euclidean space. However, due to the discrete distribution of stations, the input data required for multi-station low-visibility prediction does not have a regular spatial structure. To address those limitation, we proposed a weighted location feature convolution based on graph convolution. The construction of the weighted location feature convolution takes into account the distance and pitch angle, reduces the influence caused by the dispersion of national observation stations, and enables the convolution kernel to be shared in different local meteorological spaces. The convolution as a substitute for matrix multiplication within Sequence to Sequence framework, then cascaded the decoder to deal with the spatio-temporal dependence relationship of different levels, leading spatio-temporal fusion model CPGdC. The experimental results show that the CPGdC model achieves has higher accuracy in predicting low-visibility values across multiple national observation stations. © 2024 SPIE.

关键词： Input output programs

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Utilization of dTAB as a collector for the reverse flotation separation of quartz from fluorapatite

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International Journal of Minerals,Metallurgy and Materials 2022年第3期29卷 446-454页

作者： Wenbiao Liu Wenxuan Huang Feng rao Zhanglei Zhu Yongming Zheng Shuming Wen Faculty of Land and Resource Engineering Kunming University of Science and TechnologyKunming 650093China School of Zijin Mining Fuzhou UniversityFuzhou 350108China State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization Kunming University of Science and TechnologyKunming 650093China R&D center Yunnan Yuntianhua Co.Ltd.Kunming 650228China College of Chemistry and Chemical Engineering Xi’an University of Science and TechnologyXi’an 710054China

reverse flotation desilication is an indispensable step for obtaining high-grade fluorapatite. In this work, dodecyltrimethylammoni- um bromide (dTAB) is recommended as an efficient collector for the reverse flotation separation of quartz from fluorapatite. Its collectivity for quartz and selectivity for fluorapatite were also compared with figures corresponding to the conventional collector dodecylamine hydrochlor- ide (dAC) via microflotation experiments. The adsorption behaviors of dTAB and dAC on minerals were systematically investigated with surface chemical analyses, such as contact angle determination, zeta potential detection, and adsorption density measurement. The results re- vealed that compared to dAC, dTAB displayed a similar and strong collectivity for quartz, and it showed a better selectivity (or worse col- lectivity) for fluorapatite, resulting in a high-efficiency separation of the two minerals. The surface chemical analysis results showed that the adsorption ability of dTAB on the quartz surface was as strong as that of dAC, whereas the adsorption amount of dTAB on the fluorapatite surface was much lower than that of dAC, which is associated with the flotation performance. during the floatation separation of the actual ore, 8wt% fluorapatite with a higher grade can be obtained using dTAB in contrast to dAC. Therefore, dTAB is a promising collector for the high-efficiency purification and sustainable utilization of valuable fluorapatite recourses.

关键词： fluorapatite desilication dodecyltrimethylammonium bromide adsorption

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FEM simulation investigation of ultrasonic vibration-assisted grinding of SiCf/SiC composites 7

FEM simulation investigation of ultrasonic vibration-assiste...

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7th International Conference on Chemical Materials and Process, ICCMP 2022

作者： Zhang, Zikang Yuan, Songmei An, Wenzhao Xu, Weiwei School of Mechanical Engineering and Automation Beihang University Beijing China R&D Center of High-efficient & Green CNC Machining Technology and Equipment Beijing100191 China

In this study, a finite element model (FEM) of a single diamond grinding SiCf/SiC composites was established, and the process of ultrasonic vibration-assisted grinding was simulated and investigated from a microscopic perspective. The damage behavior and removal mechanism of ultrasonic vibration-assisted grinding along across fibers, longitudinal fibers, and transverse fibers were analyzed, respectively. Simulation results show that brittle fracture is the main removal mechanism of the matrix. The damage behavior of fibers mainly includes fiber breakage, fiber fracture, fiber pull-out, and fiber debonding. There are large differences in the removal mechanism of materials ground in different fiber directions. The simulation results provide important guidance for a better understanding of the damage behavior and removal mechanism of ultrasonic vibration-assisted grinding of SiCf/SiC composites. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Ultrasonic waves

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Waveguide absorbers based on spiral acoustic black holes for damping vibration in a plate structure 24

Waveguide absorbers based on spiral acoustic black holes for...

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24th International Congress on Acoustics, ICA 2022

作者： Park, Seongmin Lee, Jae Yeon Jeon, Wonju Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Korea Republic of 1st R&D Center Agency for Defense Development Korea Republic of

We propose a waveguide absorber (WGA) based on a spiral acoustic black hole (ABH) to reduce vibration in plates. The geometrical dimensions of the WGA are determined so that it has a lower cut-on frequency than a target frequency by using the impedance method. We also determine the attachment location and direction of the WGA on a plate to maximize its damping performance based on the structural intensity analysis. A couple of WGAs attached to a plate could reduce the mobility of the plate by more than 10 dB. In addition, the WGAs had far less weight but could achieve larger peak reductions compared to thick damping material or spiral ABHs attached to edges. © ICA *** rights reserved

关键词： Acoustic black hole (ABH) Elastic wave Vibration damping

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Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0 5th

Computer Vision Based Monitoring System for Flotation in M...

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5th International Conference on deep Learning Theory and Applications, deLTA 2024

作者： Bendaouia, Ahmed Abdelwahed, El Hassan Qassimi, Sara Boussetta, Abdelmalek Benzakour, Intissar Ahricha, Mustapha Amar, Oumkeltoum Bourzeix, François Faculty of Sciences Semlalia Cadi Ayyad University Marrakech Morocco Rabat Morocco R&D and Engineering Center Reminex Managem Group Marrakech Morocco Faculty of Science and Technology Cadi Ayyad University Marrakech Morocco Analytics Lab Mohammed VI Polytechnic University Rabat Morocco

ISBN: (纸本)9783031667046

In the mineral processing industry, specifically in froth flotation, the extraction of detailed information from bubble images is imperative for effective monitoring of the flotation process and its associated production indicators. This study delves into a range of semantic segmentation methods and algorithms, notably including YOLO, Watershed, and Thresholding, to accurately process these images. Our investigation leads to the proposal of an innovative cloud-based segmentation architecture, seamlessly integrated with the Internet of Things (IoT). This integration not only enhances the segmentation process but also supports a comprehensive monitoring application, offering a significant advancement in the real-time analysis and optimization of the flotation process. The article presents an empirical comparison of the segmentation methods and demonstrates the efficacy of the proposed cloud-based system in a practical industrial setting. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Semantic Segmentation

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Frequency domain Separation of dAS Multi-Source Aliased Signals

Frequency Domain Separation of DAS Multi-Source Aliased Sign...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Gu, Huaxin Liu, Shuaiqi Yu, Feihong Xu, deyu Chen, Xingwei Shao, Liyang Wu, Yu Zhang, Haifeng College of Innovation and Entrepreneurship Southern University of Science and Technology Shenzhen China Southern University of Science and Technology Department of Electrical and Electronic Engineering Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology Chengdu China Research Institute of Tsinghua University Advanced Measurement and Control and Equipment R&d Center Chengdu China

ISBN: (纸本)9798350312614

In this paper, fast independent vector analysis (FastIVA) based on convolutional aliasing model is proposed to separate the aliased signals collected by distributed acoustic sensing (dAS) system, and the time-frequency entropy is used to judge the separation performance. The results show that the time-frequency entropy interval of the separated signals and the source signals correspond to each other, which means that the aliased signals are separated. This method is used to improve the accuracy of dAS system signal detection and recognition in complex real environment, and reduce the number of false alarm events. © 2023 IEEE.

关键词： convolutional aliasing model dAS FastIVA time-frequency entropy

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Multifunctional MXene/Carbon Nanotube Janus Film for Electromagnetic Shielding and Infrared Shielding/detection in Harsh Environments

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Nano-Micro Letters 2024年第10期16卷 543-560页

作者： Tufail Hassan Aamir Iqbal Byungkwon Yoo Jun Young Jo Nilufer Cakmakci Shabbir Madad Naqvi Hyerim Kim Sungmin Jung Noushad Hussain Ujala Zafar Soo Yeong Cho Seunghwan Jeong Jaewoo Kim Jung Min Oh Sangwoon Park Youngjin Jeong Chong Min Koo School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySeobu-ro 2066Jangan-guSuwon-siGyeonggi-do 16419Republic of Korea Department of Materials Science and Engineering Soongsil UniversitySeoul 06978Republic of Korea Institute of Advanced Composite Materials Korea Institute of Science and Technology92 Chudong-roBongdong-eupWanju-gunJeollabuk-do 55324Republic of Korea R&D Center INNOMXENE Co. Ltd.Daejeon 34365Republic of Korea School of Chemical Engineering Sungkyunkwan UniversitySeobu-ro 2066Jangan-guSuwon-siGyeonggi-do 16419Republic of Korea

Multifunctional,flexible,and robust thin films capable of operating in demanding harsh temperature environments are crucial for various cutting-edge *** study presents a multifunctional Janus film integrating highly-crystalline Ti_(3)C_(2)T_(x) MXene and mechanically-robust carbon nanotube(CNT)film through strong hydrogen *** hybrid film not only exhibits high electrical conductivity(4250 S cm^(-1)),but also demonstrates robust mechanical strength and durability in both extremely low and high temperature environments,showing exceptional resistance to thermal *** hybrid Janus film of 15μm thickness reveals remarkable multifunctionality,including efficient electromagnetic shielding effectiveness of 72 dB in X band frequency range,excellent infrared(Ir)shielding capability with an average emissivity of 0.09(a minimal value of 0.02),superior thermal camouflage performance over a wide temperature range(−1 to 300℃)achieving a notable reduction in the radiated temperature by 243℃ against a background temperature of 300℃,and outstanding Ir detection capability characterized by a 44%increase in resistance when exposed to 250 W Ir *** multifunctional MXene/CNT Janus film offers a feasible solution for electromagnetic shielding and Ir shielding/detection under challenging conditions.

关键词： MXene/carbon nanotube Janus film Electromagnetic interference shielding Infrared shielding Thermal camouflage Infrared detection

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Model Predictive Control with Model Error Compensation by Koopman Approach 48

Model Predictive Control with Model Error Compensation by Ko...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Kanai, Masaki Yamakita, Masaki R&d Group Hitachi Ltd. Controls and Robotics Innovation Center Ibaraki Japan Tokyo Institute of Technology Department of Systems and Control Engineering Tokyo Japan

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This study proposes a method for high-performance model predictive control (MPC) by using a lifted bilinear model error model (MEM) based on the Koopman approach to compensate for errors in the prediction model. In MPC, more accurate prediction models can be expected to provide better control performance for the real plant. However, there often exist modeling errors in the prediction model, which may prevent MPC from achieving good performance. In this study, we identify the errors in the nominal model as an MEM, and formulate an MPC that integrates the nominal model and the MEM into an "error-compensated model"as a prediction model. We model the MEM with a lifted bilinear model that can represent nonlinear characteristics based on Koopman's theory. In addition, an efficient linear MPC algorithm is constructed by linearizing the MEM while maintaining high prediction accuracy. Numerical simulations demonstrate the effectiveness of the proposed method. © 2022 IEEE.

关键词： Model predictive control

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Heat transfer characterization and improvement in an external catalyst cooler fluidized bed

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Particuology 2021年第3期19卷 103-112页

作者： Jiantao Li Xiuying Yao Lu Liu Xudong Zhong Chunxi Lu State Key Laboratory of Heavy Oil China University of Petroleum(Beijing)Beijing 102249China Luoyang R&D Center of Technology SINOPEC Engineering(Group)Co.Ltd.Luoyang 471003China

Gas-solid fluidized beds have been widely used in heat transfer processes,and so there have been many studies focused on increasing heat transfer in such *** the present work,a pilot scale cold mode experimental rig was constructed to assess the effects of hydrodynamics on bed-to-wall heat transfer and to investigate various means of enhancing heat transfer in a dense gas-solid fluidized bed with external solid *** experimental results show that heat transfer in the dense region played a dominant role in total bed-to-wall heat transfer,accounting for more than 88%of the total heat transfer *** transfer could be lowered as a result of solids bypass that occurred because of external solids circulation,but this effect was weakened by the radial mixing of *** heat transfer characteristics identified in this study indicate that a specially designed baffle can be used to enhance bed-to-wall heat *** installing such baffles in the fluidized bed test structure,a 70%increase in the total heat transfer coefficient was obtained.

关键词： Gas-solid fluidized bed Heat transfer Hydrodynamics Baffles Intensification

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Automated Brain Image Classification Using Nature-Inspired Optimization-Based Machine Learning Algorithm 1

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7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： das, Gurumukh Singh, Gurdeep Zindani, divya Shanmugasundar, G. Chohan, Jasgurpreet Singh Kalita, Kanak Agra282 005 India Phullanwal Ludhiana Punjab141013 India College of Engineering Kalavakkam India Department of Mechanical Engineering Sri Sai Ram Institute of Technology Chennai600044 India Department of Mechanical Engineering and University Center for Researdh & Development Chandigarh University Mohali140413 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi600062 India Jadara University Research Center Jadara University Irbid21110 Jordan

ISBN: (数字)9783031733185

ISBN: (纸本)9783031733178

The field of medicine greatly depends on medical imaging. In modern brain imaging, image classification is used to separate abnormal tissues from healthy tissue. Using various categorization algorithms, the region of the brain tumor as well as the brain tumor size is recognized in the MrI images, allowing the brain tumor to be diagnosed. Brain Magnetic resonance imaging (MrI) can quickly and effectively identify tumors, aiding neurologists in their diagnosis. Cancer, the most prevalent or leading cause of death globally, may be made more likely by tumors. Currently, efficient automation of tumor detection is crucial to finding brain tumors. In this research we suggested a strategy that combines the strength of machine learning algorithms with nature-inspired optimization approaches to classify brain image automatically. The study proposed a new classifier called Self-Adaptive deer Hunting Optimized k-Nearest Neighbors (S-AdHO-k-NN). To start, the input image is first preprocessed to eliminate any noise using the median filtering (MF) method. The image was classified using a suggested S-AdHO-k-NN. The experimental results showed that the S-AdHO-k-NN model significantly outperformed the comparative methods with regard to of effectiveness. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Tumors

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