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SSRN 2025年

作者： Zhou, Min Lin, Yukai Hu, Wei Dai, Chai Tang, Guangfa He, Fei School of Information and Intelligent Engineering Guangzhou xinhua University Dongguan China School of Intelligent Control Hunan Railway Professional Technology College Zhuzhou China College of Electrical and Electrical Engineering Hunan University Changsha China Dept. of Pingdingshan Branch of China Mobile Communication Group Henan co. LTD Henan Pingdingshan China Dept.of Physics Electrical and Intelligent Manufacturing Huaihua University Changsha China College of Computer Science and Software Engineering Shenzhen University Shenzhen China

Manual visual inspection for defect detection in manufacturing can lead to high false positive rates. This paper compares data mining techniques for the binary classification of defects in flat products in a relatively open scenario. The background provides context on research into data mining-based detection. The methodology is divided into five sections: data collection, selection, preprocessing and transformation, classification, and model evaluation. Each section details the techniques applied, tailored to the application context, with specifying examples. Experiments apply real-world data sets self-collected from production lines. Statistics like prediction accuracy are generated by established data mining evaluation algorithms. Results indicate the efficacy of data mining for automated defect detection over manual approaches. Finally, conclusions summarize findings and discuss the limitations of the current research and planned future work to address the drawbacks. Overall, the formalized methodology and supportive experimental results demonstrate both the viability and potential areas of improvement for data mining in manufacturing quality control. © 2025, The Authors. All rights reserved.

关键词： Data accuracy

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Bit-Level Composite Signal Design for Simultaneous Ranging and communication

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China communications 2021年第6期18卷 214-227页

作者： Weigang Chen Yalong He Changcai Han Jinsheng Yang Zhan Xu School of Microelectronics Tianjin UniversityTianjin 300072China Key Laboratory of Modern Measurement and Control Technology Beijing 100192China School of Information and Communication Engineering Beijing Information Science and Technology UniversityBeijing 100192China

As the complexity of space exploration missions augments,how to enhance the overall performance of communication,ranging or other functions has become a challengeable *** the integration of communication and ranging,we present a bit-level composite signal for simultaneous ranging and *** this composite method,through a specially designed mapping scheme using low-weight codewords,the information sequence is converted to a sparse sequence which is then superimposed on the ranging *** ranging,the correlation characteristics of the ranging code component can be maintained to calculate the transmitter-receiver *** communications,the sparse sequence can be extracted without interference by eliminating the ranging code *** results show that the proposed composite signal can support communication and ranging simultaneously with limited sacrifice of ranging performance,and the performance loss of ranging can be controlled and minimized by lowering the density of information sequences using different sparsification encoding methods.

关键词： composite signal spectrum sharing lowweight codeword regenerative PN ranging code

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New enhancement of infrared image based on human visual system

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Chinese Optics Letters 2009年第3期7卷 206-209页

作者：于天河李秋明戴景民 Department of Automation Measurement and Control Engineering Harbin Institute of Technology Computer Center Harbin University of Science and Technology School of Astronautics Harbin Institute of Technology

Infrared images are firstly analyzed using the multifractal theory so that the singularity of each pixel can be extracted from the images. The multifractal spectrum is then estimated, which can reflect overall characteristic of an infrared image. Thus the edge and texture of an infrared image can be accurately extracted based on the singularity of each pixel and the multifractal spectrum. Finally the edge pixels are classified and enhanced in accordance with the sensitivity of human visual system to the edge profile of an infrared image. The experimental results obtained by this approach are compared with those obtained by other methods. It is found that the proposed approach can be used to highlight the edge area of an infrared image to make an infrared image more suitable for observation by human eyes.

关键词： Imaging systems Infrared imaging Infrared spectroscopy Pixels

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Characterization of Hollow-core Silicon Nanowires

Characterization of Hollow-core Silicon Nanowires

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2012 International Conference on measurement, Information and control, MIC 2012

作者： Wang, Yingli Lai, Houhu Wang, Ming Measurement and Control Technology and Communication Engineering Haerbin University of Science and Technology China

ISBN: (纸本)9781457716027

This project investigates the performance characteristics of Hollow-core Silicon Nanowires, specially the confinement in each layer of the slot waveguide. In order to undertake such analysis, an accurate and efficient full-vectorial Finite Element Method (FEM) is used to calculate the propagation constant and the modal field profiles of the optical waveguide. The variation of effective indices, effective areas, power density in slot region and the confinement factors of the slot waveguide are rigorous investigated. The modal magnetic and electric field profiles are also presented. © 2012 IEEE.

关键词： Nanowires

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FGF3D: A Point Cloud 3D Object Detection Algorithm Based on Fine-Grained Feature Fusion

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IEEE Transactions on Instrumentation and measurement 2025年

作者： Li, Bing Xu, Yunheng Wang, Shuoheng Wang, Xinwen Chen, Jie Li, Xinde Li, Yingsong Huang, ZhiXiang Anhui University School of Electronic and Information Engineering Hefei230601 China Southeast University School of Automation Nanjing210096 China Nanjing Center for Applied Mathematics Nanjing211135 China Anhui University Information Materials and Intelligent Sensing Laboratory of Anhui Province Hefei230601 China 38th Research Institute of China Electronics Technology Group Corporation Hefei230088 China Southeast University Key Laboratory of Measurement and Control of CSE School of Automation Nanjing210096 China Southeast University Shenzhen Research Institute Shenzhen518063 China

In the existing two-stage point cloud 3D object detection task, there are problems such as the lack of fine-grained and insufficient sparsity of point cloud features extracted by the backbone network, the lack of spatial-channel fine-grained fusion of bird-eye-view (BEV) features, and the lack of multi-dimensional representation of ROI pooling features. We innovatively propose a new two-stage algorithm based on fine-grained feature fusion, called FGF3D. We construct a sparsegrained aggregation network (SGANet) to elevate the representation of point cloud features. Furthermore, we innovatively propose a spatial-channel fine-grained fusion module (SCFFM) to enrich BEV features and efficiently extract fine-grained features. Further, we propose a global-local feature pooling fusion module (GLFP), which effectively fuses local detail object features and global features, enhances multi-dimensional representations, and facilitates the refined regression of proposal boxes. Without bells and whistles, FGF3D attains excellent performance on two autonomous driving benchmarks, with detection accuracies of up to 64.10% on KITTI, 57.82% on ONCE. © 2025 IEEE. All rights reserved.

关键词： Object detection

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Sensor fusion techniques used for learning/identifying features of robot's part assembly tasks

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF engineering MANUFACTURE 1996年第5期210卷 429-435页

作者： Son, C Ahn, T School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia USA Department of Control and Measurement Engineering Wonkwang University Korea

In this paper, sensor fusion techniques, fused vision/optical sensors and tactile/vision sensors are introduced which are used for learning/identifying features of-tasks related to a robot's part-bringing procedure from a part position to a position over a hole for the purpose of a micro-part insertion in partially unstructured environments. An entropy function, which is a useful measure of the variability and the information in terms of uncertainty, including learning, is introduced to measure the overall performance of a task execution related to a part assembly. By employing a learning approach, the uncertainty associated with the part-bringing task is reduced. The above tools are necessary for a robot manipulator to perform complex assembly, material handling, manufacturing or machining tasks, for example remote maintenance and hazardous material handling, in an unstructured environment.

关键词： sensor fusion part assembly learning entropy function

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Cooling hot rolling steel strip using combined tactics

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Journal of University of Science and technology Beijing 2008年第3期15卷 362-365页

作者： Li Peng Qing Li Zhou Zhou School of Communication and Control Engineering Jiangnan University Wuxi 214122 China School of Information Engineering University of Science and Technology Beijing Beijing 100083 China

The coiling temperature control of a typical steel strip mill was investigated. Due to the high speed of a strip and complex circumstance, it is very hard to set up a cooling model with high accuracy. A simplified dynamic model was proposed, based on which a cooling control scheme with combined feedforward, feedback and adaptive algorithms was developed. Meanwhile, the genetic algorithms were used for the optimization of model parameters. Simulations with a model validated using actual plant data were conducted, and the results have confirmed the effectiveness of the proposed control methods. At last, a simulation system for coiling temperature control was developed. It can be used for new product trials and newcomer training.

关键词： coiling temperature temperature control feedforward feedback adaptive algorithm simulation

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Sensitive properties of In-based compound semiconductor oxide to Cl_2 gas

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Journal of Semiconductors 2009年第3期30卷 83-86页

作者：赵文杰施云波修德斌雷廷平冯侨华王立全 School of Applied Sciences Harbin University of Science and Technology Mechanical Engineering Center for Post-doctoral Studies Harbin Engineering University School of Measurement Control Tech & Communications Engineering Harbin University of Science and Technology

Aiming at detecting Cl2 gas, this study was made on how to make In-based compound semiconductor oxide gas sensor. The micro-property and sensitivity of In-based gas sensing material were analyzed and its gas sensitive mechanism was also discussed. Adopting constant temperature chemical coprecipitation, the compound oxides such as In-Nb, In-Cd and In-Mg were synthesized, respectively. The products were sintered at 600 ℃ and characterized by the Scanning Electron Microscope （SEM）, showing the grain size almost about 50-60 nm. The test results show that the sensitivities of In-Nb, In-Cd and In-Mg materials under the concentration of 50 × 10^-6 in Cl2 gas are above 100 times, 4 times and 10 times, respectively. The response time of In-Nb, In-Cd and In-Mg materials is about 30, 60 and 30 s, and the recovery time less than 2, 10 and 2 min, respectively. Among them, the In-Nb material was found to have a relatively high conductivity and ideal sensitivity to Cl2 gas, which showed rather good selectivity and stability, and could detect the minimum concentration of 0.5 × 10^-6 with the sensitivity of 2.2, and the upper limit concentration of 500 × 10^-6. The power loss of the device is around 220 mW under the heating voltage of 3 V.

关键词： In2O3 Nb2O5, sensitive property chlorine gas sensor

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Effect of applied electric fields on supralinear dendritic integration of interneuron

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Chinese Physics B 2024年第2期33卷 84-95页

作者：樊亚琴魏熙乐卢梅丽伊国胜 Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China School of Information Technology Engineering Tianjin University of Technology and EducationTianjin 300222China

Evidences show that electric fields(EFs)induced by the magnetic stimulation could modulates brain activities by regulating the excitability of GABAergic ***,it is still unclear how and why the EF-induced polarization affects the interneuron response as the interneuron receives NMDA synaptic *** the key role of NMDA receptor-mediated supralinear dendritic integration in neuronal computations,we suppose that the applied EFs could functionally modulate interneurons’response via regulating dendritic *** first,we build a simplified multi-dendritic circuit model with inhomogeneous extracellular potentials,which characterizes the relationship among EF-induced spatial polarizations,dendritic integration,and somatic *** performing model-based singular perturbation analysis,it is found that the equilibrium point of fast subsystem can be used to asymptotically depict the subthreshold input–output(sI/O)relationship of dendritic *** predicted that EF-induced strong depolarizations on the distal dendrites reduce the dendritic saturation output by reducing driving force of synaptic input,and it shifts the steep change of sI/O curve left by reducing stimulation threshold of triggering NMDA ***,the EF modulation prefers the global dendritic integration with asymmetric scatter distribution of NMDA ***,we identify the respective contribution of EF-regulated dendritic integration and EF-induced somatic polarization to an action potential generation and find that they have an antagonistic effect on AP generation due to the varied NMDA spike threshold under EF stimulation.

关键词： GABAergic interneuron electrical field supralinear dendritic integration action potential generation

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Adaptive Sliding-Mode Fault Tolerant control for Delayed Nonlinear Systems with Actuator Fault 7

Adaptive Sliding-Mode Fault Tolerant Control for Delayed Non...

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7th International Conference on control Science and Systems engineering, ICCSSE 2021

作者： Zhang, Hongxu Hu, Jun Yu, Xiaoyang Chen, Dongyan Harbin University of Science and Technology School of Measurement Control Technology Communication Engineering Department of Mathematics Harbin China Harbin University of Science and Technology Department of Mathematics Harbin China Harbin University of Science and Technology School of Measurement Control Technology Communication Engineering Harbin China

ISBN: (纸本)9781665444057

This paper focuses on the sliding mode fault-tolerant control (SMFTC) problem for a class of delayed nonlinear systems in presence of actuator fault and nonlinear input. Firstly, the augmented strategy involving system state, actuator fault and external disturbance is constructed, and then the fault-tolerant observer is designed accordingly. An SMFTC law ensuring the asymptotical stability of the reduce-order estimation error is provided subsequently. To further illustrate the system performance, a new sliding function with respect to decomposed signal is constructed and the asymptotically stability of sliding motion is analyzed. Moreover, a novel adaptive-based sliding mode controller is presented to steer the system state onto the sliding manifold. Finally, a verification example is considered to demonstrate the usefulness of the proposed SMFTC approach. © 2021 IEEE.

关键词： Sliding mode control

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