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Causal reasoning in typical computer vision tasks

Science China(Technological Sciences) 2024年第1期67卷 105-120页

作者： ZHANG KeXuan SUN QiYu ZHAO ChaoQiang TANG Yang Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China National Key Laboratory of Air based Information Perception and Fusion Luoyang 471000China Luoyang Institute of Electro Optical Equipment of Avic Luoyang 471000China

Deep learning has revolutionized the field of artificial *** on the statistical correlations uncovered by deep learning-based methods,computer vision tasks,such as autonomous driving and robotics,are growing *** being the basis of deep learning,such correlation strongly depends on the distribution of the original data and is susceptible to uncontrolled *** the guidance of prior knowledge,statistical correlations alone cannot correctly reflect the essential causal relations and may even introduce spurious *** a result,researchers are now trying to enhance deep learningbased methods with causal *** theory can model the intrinsic causal structure unaffected by data bias and effectively avoids spurious *** paper aims to comprehensively review the existing causal methods in typical vision and visionlanguage tasks such as semantic segmentation,object detection,and image *** advantages of causality and the approaches for building causal paradigms will be *** roadmaps are also proposed,including facilitating the development of causal theory and its application in other complex scenarios and systems.

关键词： causal reasoning computer vision tasks vision-language tasks semantic segmentation object detection

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Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems

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IEEE Transactions on Cybernetics 2022年第5期52卷 3276-3288页

作者： Zhang, Hengmin Qian, Feng Shang, Fanhua Du, Wenli Qian, Jianjun Yang, Jian East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering Shanghai200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Xidian University Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence Xi'an710071 China Peng Cheng Laboratory Shenzhen518066 China Nanjing University of Science and Technology Pca Laboratory Key Lab. of Intelligent Percept. and Syst. for High-Dimensional Information of Ministry of Education Nanjing210094 China Nanjing University of Science and Technology Jiangsu Key Laboratory of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing210094 China

In recent years, most of the studies have shown that the generalized iterated shrinkage thresholdings (GISTs) have become the commonly used first-order optimization algorithms in sparse learning problems. The nonconvex relaxations of the \ell _optimization -norm usually achieve better performance than the convex case (e.g., \ell _optimization -norm) since the former can achieve a nearly unbiased solver. To increase the calculation efficiency, this work further provides an accelerated GIST version, that is, AGIST, through the extrapolation-based acceleration technique, which can contribute to reduce the number of iterations when solving a family of nonconvex sparse learning problems. Besides, we present the algorithmic analysis, including both local and global convergence guarantees, as well as other intermediate results for the GIST and AGIST, denoted as (A)GIST, by virtue of the Kurdyka-Lojasiewica (KL) property and some milder assumptions. Numerical experiments on both synthetic data and real-world databases can demonstrate that the convergence results of objective function accord to the theoretical properties and nonconvex sparse learning methods can achieve superior performance over some convex ones. © 2013 IEEE.

关键词： optimization

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Numerical study of nanochannel on a silicon-silver dimer gap for significantly enhanced fluorescence

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Results in Physics 2024年 62卷

作者： Wang, Qiang Chen, Zhihui Gu, Zhiyuan Li, Lingqiao Guo, Deyi Shi, Baopeng Wang, Yang Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan 030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics Taiyuan University of Technology Taiyuan 030024 China Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Biotechnology Shanxi University Taiyuan 030006 China

The metal-dielectric dimer is an ideal structure for enhancing single-molecule fluorescence. When a single-molecule interacts with the metal-dielectric dimer, the metal-dielectric plasmonic system creates strong resonance, which amplifies the electric field by several orders of magnitude. One-dimensional photonic crystals (1D PCs) provide a photonic bandgap (PBG) and nearly perfect reflection for specific wavelengths. These phenomena contribute significantly to fluorescence enhancement. Herein, we propose the structure of 1D PCs with a silicon-silver dimer to achieve remarkable fluorescence enhancement under numerical study. Specifically, our design involves a 20 nm gapped silicon-silver dimer with a 50 nm nanochannel positioned above it. Through the optimization of structural parameters, our results demonstrate that quantum dots with a high intrinsic quantum yield, such as 100 %, are capable of achieving a fluorescence directional emission enhancement of up to three orders of magnitude compared to the bare structure, with an average enhancement factor reaching 407-fold. These findings stand for the unique sensitivity of the device, making it a promising choice for applications in biological nanoparticle detection, environmental monitoring, and other fields in the future. © 2024

关键词： Localized surface plasmon resonance (LSPR) Resonant cavity Silicon-silver dimer Ultra-high fluorescence enhancement

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Surrogate model of aromatic isomerization process based on adaptive sampling algorithm

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Huagong Xuebao/CIESC Journal 2020年第2期71卷 688-697页

作者： Xie, Yuheng Li, Zhi Yang, Minglei Du, Wenli State Key Laborotory of Chemical Engineering Key Laboratory of Advanced Control and Optimization for Chemical Processed of Ministry of Education East China University of Science and Technology Shanghai200237 China

Isomerization is an important part in the production of aromatics. Improving the modeling and optimization efficiency of isomerization is of great significance to industrial production. However, the optimization process using the mechanism model directly takes a long time and the optimization efficiency is low. The surrogate model can effectively approximate the mechanism model and greatly reduce the computation time. The surrogate model sampling method has a great influence on the accuracy of the model. A new adaptive sampling algorithm based on sparsity and nearest neighbor expectation is proposed in this paper, which can balance global search and local search. By solving the optimization problem, we can find new sampling points that reflect the key information of the object function, and then add the new point to the sample set, so that the accuracy of the surrogate model is continuously improved. The results of multiple test functions show that compared with other adaptive sampling algorithms, the algorithm can effectively improve the accuracy and modeling efficiency of the surrogate model. The algorithm is also validated in the aromatic isomerization surrogate model. Compared with other algorithms, our algorithm model error is reduced by more than 5%, and the modeling time is reduced by more than 30%. © All Right Reserved.

关键词： Isomerization

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Equipment selection knowledge base system for industrial styrene process

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Chinese Journal of chemical Engineering 2018年第8期26卷 1707-1712页

作者： Weimin Zhong Shuming Liu Feng Wan Zhi Li Key Laboratory of Advanced Control and Optimization for Chemical Processed of Ministry of Education East China University of Science and Technology

Equipment selection for industrial process usually requires the extensive participation of industrial experts and technologists, which causes a serious waste of resources. This work presents an equipment selection knowledge base system for industrial styrene process(S-ESKBS) based on the ontology technology. This structure includes a low-level knowledge base and a top-level interactive application. As the core part of the S-ESKBS, the low-level knowledge base consists of the equipment selection ontology library, equipment selection rule set and Pellet inference engine. The top-level interactive application is implemented using S-ESKBS, including the parsing storage layer, inference query layer and client application layer. Case studies for the industrial styrene process equipment selection of an analytical column and an alkylation reactor are demonstrated to show the characteristics and implementability of the S-ESKBS.

关键词： Equipment selection Ontology technology Knowledge base system Styrene process

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Study on Flue Gas Desulfurization Process with Selective SO2 Removal by N-formylmorpholine

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China Petroleum Processing & Petrochemical Technology 2019年第2期21卷 85-94页

作者： Long Jian Wang Jin Fan Chen Yang Minglei Zhong Weimin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 SINOPEC Zhenhai Refining and Chemical Co. Ltd. Ningbo 315207

Absorptive separation for resource utilization by selective SO2 removal from flue gas is a potential method applicable in practice. A flue gas desulfurization process for SO2 utilization by selective absorption in a lab-scale absorption tower at atmospheric pressure using N-formylmorpholine (NFM) as the absorbent is developed to capture and concentrate the SO2 from flue gas, in which the CO2 content is several orders higher than that of SO2. The investigation of the effects of different operating conditions on the SO2 removal efficiency shows that the SO2 removal efficiency can be obviously enhanced by increasing NFM concentration, or decreasing the absorption temperature, the superficial gas velocity, the gas-liquid ratio, or the SO2 concentration in absorption solution. Under the optimum operating conditions (covering a temperature of 40 °C, a superficial gas velocity of <0.0165 m/s, a gas-liquid ratio of 200—250, a SO2 concentration in lean NFM solution of 0—10 mg/L, and a NFM concentration of 3 mol/L), the SO2 removal rate reaches over 99.5% while the absorption of CO2 is negligible. Similarly, the SO2 removal rate is as high as 99.5% obtained in consecutive absorption-desorption cycles. Desorption experiment results indicate that the absorption of sulfur dioxide is completely reversible and the release of SO2 from NFM is very easy and rapid at 104 °C. The absorption simulation result for desulfurization of flue gas vented from the industrial catalytic cracking regenerator shows that 98.0% of SO2 can be absorbed in the absorber and most of them are released in the desorber. The experimental and simulated results show that the desulfurization ability and regenerability of NFM solution is encouraging for the development of FGD process to capture the SO2 from flue gas.

关键词： flue gas desulfurization selective SO2 removal N-formylmorpholine absorption simulation

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Design of High Temperature Anticorrosion Diagnosis System for Atmospheric and Vacuum Distillation Unit Based on Forcecontrol and SQL Sever2014 5

Design of High Temperature Anticorrosion Diagnosis System fo...

引用

5th International Conference on Automation, control and Robotics Engineering, CACRE 2020

作者： Zhao, Liang Zhang, Zexin Wang, Lida Liu, Guichang Dalian University of Technology School of Control Science and Engineering Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian China Dalian University of Technology School of Control Science and Engineering Dalian China Dalian University of Technology School of Chemical Engineering Dalian China

ISBN: (纸本)9781728198880

Due to the complex composition of the oil flowing through the refining unit, the equipment anticorrosion work has always been a major problem in petrochemical enterprises, and the corrosion problem is a key factor related to shortening the service life of the atmospheric and vacuum distillation unit. Aiming at the problem of high temperature corrosion of atmospheric and vacuum unit in a petrochemical enterprise and the current situation of corrosion management in the enterprise, this paper designs a high temperature corrosion diagnosis system of atmospheric and vacuum unit based on Forcecontrol configuration development platform. The system uses three dimensional interpolation algorithm to calculate the corrosion rate, and uses Microsoft SQL sever2014 database technology and Forcecontrol 7.1 configuration development platform to realize the comprehensive management of corrosion data, corrosion rate calculation, early warning, expert advice and other functions. Through the function test of each module in the system, and using the actual corrosion data provided by the enterprise to simulate and verify the system, the test results show that the system can achieve the expected functions, and ensure the calculation accuracy of corrosion rate. © 2020 IEEE.

关键词： Distillation

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Total plant performance evaluation based on big data: Visualization analysis of TE process

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Chinese Journal of chemical Engineering 2018年第8期26卷 1736-1749页

作者： Mengyao Li Wenli Du Feng Qian Weiming Zhong Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

The performance evaluation of the process industry, which has been a popular topic nowadays, can not only find the weakness and verify the resilience and reliability of the process, but also provide some suggestions to improve the process benefits and efficiency. Nevertheless, the performance assessment principally concentrates upon some parts of the entire system at present, for example the controller assessment. Although some researches focus on the whole process, they aim at discovering the relationships between profit, society, policies and so forth, instead of relations between overall performance and some manipulated variables, that is, the total plant performance. According to the big data of different performance statuses, this paper proposes a hierarchical framework to select some structured logic rules from monitored variables to estimate the current state of the process. The variables related to safety and profits are regarded as key factors to performance evaluation. To better monitor the process state and observe the performance variation trend of the process, a classificationvisualization method based on kernel principal component analysis(KPCA) and self-organizing map(SOM) is established. The dimensions of big data produced by the process are first reduced by KPCA and then the processed data will be mapped into a two-dimensional grid chart by SOM to evaluate the performance status. The monitoring method is applied to the Tennessee Eastman process. Monitoring results indicate that off-line and on-line performance status can be well detected in a two-dimensional diagram.

关键词： Performance evaluation Structured logic rules Hierarchical framework Multidimensional visualization KPCA–SOM

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Quasi-Synchronization of Heterogeneous Lur'e Networks With Impulsive Feedback control

Quasi-Synchronization of Heterogeneous Lur'e Networks With I...

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第40届中国控制会议

作者： Chongfang Jin Sangli Shi Zhengxin Wang Wangli He Guo-Ping Jiang School of Science Nanjing University of Posts and Telecommunications Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot) Nanjing University of Posts and Telecommunications The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology School of Automation Nanjing University of Posts and Telecommunications

The target of this paper is studying the quasi-synchronization problems of the heterogeneous Lur'e networks with impulsive feedback control. By introducing impulsive feedback control, the heterogeneous Lur'e network is analyzed. The sufficient condition for guaranteeing quasi-synchronization is derived by means of linear matrix inequality(LMI), the Schur complement and the principle of comparison. More over, the upper bound of exponential quasi-synchronization errors is further calculated. Finally, the numerical simulations are presented to illustrate the effectiveness of the control protocol and theoretical results.

关键词： Exponential quasi-synchronization Lur'e network Feedback Impulsive control

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Endowing Deep-Red (Dr) Bodipy Luminophors with Enhanced Aggregation-Induced Emission by Installing Miniature Rotor of Trifluoromethyl (Cf3) for Solution-processed Oleds

SSRN

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SSRN 2022年

作者： Zhao, Guimin Jiang, Wei Dai, Hengyi Zhou, Renyin Zhang, Guanghao Chen, Haowen Ma, Daiyu Tian, Wenwen Ban, Xinxin Sun, Yueming Jiangsu Province Hi-Tech Key Laboratory for Bio-Medical Research Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device School of Chemistry and Chemical Engineering Southeast University Jiangsu Nanjing211189 China Key Lab of Organic Optoelectronics and Molecular Engineering Ministry of Education Department of Chemistry Tsinghua University Beijing100084 China School of Environmental and Chemical Engineering Jiangsu Key Laboratory of Function Control Technology for Advanced Materials Jiangsu Ocean University Jiangsu Lianyungang222005 China

Highly efficient deep-red (DR) organic materials in aggregated state are fundamentally restricted by the serious nonradiative decay rates (knr) due to the energy gap law, and the aggregation induced quenching in view of significant intermolecular interaction. Here, two new BODIPY chromophores owning donor−acceptor−donor (D−A−D) structure, namely CF3-2TPA and 2CF3-2TPA, were designed and synthesized. Trifluoromethyl (CF3)-substituted phenyl group was introduced to the meso-position of the BODIPY core, tuning red to DR emission and suppressing intermolecular interaction with the utilization of the steric hindrance of CF3. Besides, CF3-2TPA and 2CF3-2TPA show enhanced aggregation-induced emission (AIE) characteristic, which was ascribed to the CF3 rotor dissipating the excited-state energy. The OLEDs are fabricated by combining a thermally assisted delayed fluorescence host with a deep-red dye, showing a DR cut-on wavelength of 668 nm and external quantum efficiency of 2.3%. This work provided a rotor strategy to convert BODIPY molecule with obvious AIE property, providing their promising applications in DR-OLEDs. © 2022, The Authors. All rights reserved.

关键词： Chromophores

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