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2019 IEEE International Conference on Smart Manufacturing, Industrial and Logistics engineering, SMILE 2019

作者： Hou, Hongyu Wu, Feng Key Lab of the Ministry of Education for Process Control Efficiency Engineering School of Management xi'An Jiaotong University Xi'an China

ISBN: (纸本)9781538679982

Detecting product quality defects through image recognition technology is one of the key technologies of intelligent manufacturing, and also an important step for enterprises to construct smart factory. In the capsulation step of the semiconductor enterprise, the internal wire bonding of the chip is easily to receive the interference and to produce the defects. Companies need to pick out defective chips to avoid them going to the market. Traditional way is to use artificial vision visual inspection, which may lead to low efficiency and high labor cost. This study intends to use machine vision detection method based on image processing technology to identify the defect of the chip and to replace the workers artificial detection work. This paper proposes two algorithms to solve such above problems. The template matching algorithm (TMA) is to determine whether the chip is defective mainly based on the standard template. The neighborhood comparison algorithm (NCA) mainly calculates similarity of the neighbor chips to judge the target chip's defects. The algorithm is implemented by Halcon software. A German semiconductor company has provided enough samples to support our research. The experimental results show that the two algorithms are effective in defect detection of specific products. The advantage of the TMA lies in its processing speed, but the applicability and accuracy of NCA is more excellent. The algorithm proposed in this study can be used for enterprise by being integrated into the actual detection process. © 2019 IEEE.

关键词： Template matching

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Influence of Riboflavin on the Corrosion of X80 Pipeline Steel by Sulfate Reducing Bacteria

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SSRN 2023年

作者： Fu, Lei Lin, Li Yan, Shisen Luo, Yunrong Zhang, Yingqian Lai, Sheng Wang, Zhengguo Tan, Mingxing School of Mechanical Engineering Sichuan University of Science & Engineering Zigong643000 China Failure Mechanics and Engineering Disaster Prevention Key Lab of Sichuan Province Sichuan University Chengdu610065 China Key Laboratory of Deep Earth Science and Engineering Sichuan University Ministry of Education Chengdu610065 China School of Material Science and Engineering Sichuan University of Science & Engineering Zigong643000 China Vanadium and Titanium Resource Comprehensive Utilization Key Laboratory of Sichuan Province Panzhihua617000 China Sichuan Provincial Key Lab of Process Equipment and Control Zigong643000 China School of Civil Engineering Sichuan University of Science & Engineering Zigong643000 China

Sulfate reducing bacteria (SRB) are facultative anaerobic, and the electron transfer process of their growth and metabolic activities is as follows: the electrons released from the metal surface pass through the cell wall into the cell by extracellular electron transfer, and the electron shuttle to the body plays the role of electron transfer between cells and metals. In this study, the effect of riboflavin (RF) as an electron shuttle on SRB corrosion of X80 pipeline steel was analyzed. The results showed that the addition of 10 ppm RF to the SRB medium did not significantly change the type of corrosion products, but resulted in an enlarged corrosion pit area and an increased pit depth. The corrosion weight loss rate of the SRB + 10 ppm RF system is about 3 times that of the SRB system, and the corrosion current density of the polarization curve is about 38% higher than that of the SRB system. Therefore, RF can transfer the electrons released by iron oxidation to the cytoplasm by means of electron transfer across the cell wall, thereby accelerating the corrosion of X80 steel. This further proves that the electronic medium RF can accelerate the microbial influenced corrosion (MIC) caused by SRB. © 2023, The Authors. All rights reserved.

关键词： Electron transport properties

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Distributed Online Convex Optimization with Time-Varying Constraints: Tighter Cumulative Constraint Violation Bounds under Slater's Condition

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IEEE Transactions on Automatic control 2025年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Hong, Yiguang Chai, Tianyou Johansson, Karl H. National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai Institute of Intelligent Science and Technology China Ministry of Education Frontiers Science Center for Intelligent Autonomous Systems China Massachusetts Institute of Technology Lab for Information & Decision Systems CambridgeMA02139 United States Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Nanyang Technological University School of Electrical and Electronic Engineering 50 Nanyang Avenue 639798 Singapore Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures Stockholm10044 Sweden

This paper considers distributed online convex optimization with time-varying constraints. In this setting, a network of agents makes decisions at each round, and then only a portion of the loss function and a coordinate block of the constraint function are privately revealed to each agent. The loss and constraint functions are convex and can vary arbitrarily across rounds. The agents collaborate to minimize static network regret and network cumulative constraint violation. A novel distributed online algorithm with a vanishing stepsize is proposed and it achieves an O(Tmax {c,1-c}) static network regret bound and an O(T1-c/2) network cumulative constraint violation bound, where T is the number of rounds and c∈ (0,1) is a user-defined trade-off parameter. When Slater's condition holds (i.e, there is a point that strictly satisfies the inequality constraints), the network cumulative constraint violation bound is reduced to O(T1-c). Moreover, if the loss functions are strongly convex, then static network regret bound is reduced to O(log (T)), and the network cumulative constraint violation bound is reduced to O(√log (T)T) and O(log (T)) without and with Slater's condition, respectively. To the best of our knowledge, this paper is the first to achieve tighter (network) cumulative constraint violation bounds for (distributed) online convex optimization with time-varying constraints under Slater's condition. Finally, the theoretical results are verified through numerical simulations. © 1963-2012 IEEE.

关键词： Convex optimization

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Anti-asthmatic mechanism of the Huashanshen dripping pill via suppressing contraction of the airway smooth muscle

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Traditional Medicine Research 2022年第3期7卷 19-27页

作者： Yu Liu Ni-Na Cui Xuan-Shuo Liu Peng-Cheng Lin Lorenzo Pecoraro Giuseppe Venturella Shu-Li Man Wen-Yuan Gao The Innovation Platform for the Development and Construction of Special Project of Key Laboratory for Tibet Plateau Phytochemistry of Qinghai Province(2017-ZJ-Y19) College of pharmacyQinghai Nationalities UniversityXining 810007China State Key Laboratory of Food Nutrition and Safety Key Laboratory of Industrial MicrobiologyMinistry of EducationTianjin Key Laboratory of Industry MicrobiologyNational and Local United Engineering Lab of Metabolic Control Fermentation TechnologyChina International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal ChemistryCollege of BiotechnologyTianjin University of Science&TechnologyTianjin 300457China Tianjin Key Laboratory for Modern Drug Delivery and High Efficiency School of Pharmaceutical Science and TechnologyTianjin UniversityTianjin 300072China Department of Agricultural Food and Forest SciencesUniversity of PalermoPalermoItaly

Background:The Huashanshen(HSS)dripping pill has been widely used in asthma for a long time in ***,the relaxant mechanism of HSS is not well ***:In this report,high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to identify the constituents in rat plasma after oral administration of ***-sensitized allergic asthma and isolated trachea were studied for the anti-asthmatic mechanism of ***:D-anisodamine,L-anisodamine,scopolamine and atropine were detected in the rat plasma containing *** was clear that the HSS inhibited the release of inflammatory mediators,regulated the balance of T-helper 1 and T-helper 2 to reduce the airway inflammation,and relaxed the tracheal smooth muscle by controlling the KCa channel,Ca^(2+)influx and release to reduce the airway ***:Atropine,anisodamine and scopolamine might be active compounds of HSS which inhibited the release of inflammatory mediators,regulated the balance of Th1/Th2,and relaxed the tracheal smooth muscle to reduce airway hyperresponsiveness.

关键词： Huashanshen dripping pill HPLC-QTOF-MS allergic asthma airway remodeling inflammation airway smooth muscle

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Highly active N,O-doped hierarchical porous carbons for high-energy supercapacitors

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Chinese Chemical Letters 2020年第5期31卷 1226-1230页

作者： Ziyang Zhou Hui Duan Zhiwei Wang Yaokang Lv Wei Xiong Dazhang Zhu Liangchun Li Mingxian Liu Lihua Gan Shanghai Key Lab.of Chemical Assessment and Sustainability School of Chemical Science and EngineeringTongji UniversityShanghai 200092China State Key Laboratory of Pollution Control and Resources Reuse Shanghai Institute of Pollution Control and Ecological SecuritySchool of Environmental Science and EngineeringTongji UniversityShanghai 200092China College of Chemical Engineering Zhejiang University of TechnologyHangzhou 310014China School of Chemistry and Environmental Engineering Key Laboratory for Green Chemical Process(Ministry of Education)Hubei Key Lab.of Novel Reactor&Green Chemical TechnologyWuhan Institute of TechnologyZhengzhou 450001China College of Chemistry and Molecular Engineering Zhengzhou UniversityWuhan 430205China

Highly active N,O-doped hierarchical porous carbons(NOCs)are fabricated through the in-situ polymerization and pyrolysis of o-tolidine and ***-prepared NOCs have a variety of faradaic-active species(N-6,N-5 and O-I),high ion-accessible platform(1799 m^2/g)and hierarchically micro-meso-macro porous ***,the resultant NOC electrode delivers an advantageous specific capacitance(311 F/g),with a pseudocapacitive contribution of 37%in a threeelectrode configuration,and an enhanced energy output of 18.0 Wh/kg@350 W/kg owing to the enlarged faradaic effect in an aqueous redox-active ***,a competitive energy density(74.9 Wh/kg)and high-potential durability(87.8%)are achieved in an ionic liquid(EMIMB F4)-assembled *** study sheds light on a straightforward avenue to optimize the faradaic activity and nanoarchitecture for advanced supercapacitors.

关键词： N.O-doped carbon Hierarchical porous structure Faradaic activity Supcrcapacitor High energy density

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A Governance Framework for Blockchain-based Manufacturing Collaborative Platform

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Fundamental Research 2025年

作者： Gengzhong Feng Zhecheng Wang Xi Zhao Ningning Liu Xiaomin Shi School of Management Xi’an Jiaotong University China The Key Lab of the Ministry of Education for Process Management & Efficiency Engineering Xi’an China System Behavior & Management Laboratory of Xi’an Jiaotong University Philosophy and Social Sciences Laboratory of the Ministry of Education in China School of Information Technology and Management University of International Business and Economics China

The traditional manufacturing collaborative platforms (MCPs) face challenges of weak trust and innovation inhibition in the transformation and upgrading of the global industrial chain. This paper investigates blockchain-based manufacturing collaborative platforms (BMCPs) as a potential solution in response. This paper first analyzes the ecological characteristics of MCPs and BMCPs, and puts forward six governance challenges caused by the unique openness, uncertainty and complexity of BMCPs. Then, in order to offer comprehensive and adaptable guidelines for BMCP governance practices, we propose a governance framework with three layers (off-chain community, on-chain DAO, and on-chain contracts) and five dimensions (roles, incentives, communication, decision-making, and value evolution). Finally, based on the value evolution characteristics of BMCPs, the research investigates how to apply the proposed governance framework during the start-up and optimization stages of BMCPs. Using member expansion and fault management as two-stage examples, the paper uses a UML sequence diagram to demonstrate how the governance framework works. This study provides a theoretical framework and practical guidance for creating a more transparent, intelligent and sustainable manufacturing ecosystem.

关键词： Governance framework Blockchain technology Manufacturing collaborative platform Platform governance

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Polyvinyl chloride microplastics and drought co-exposure alter rice growth by affecting metabolomics and proteomics

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Science of the Total Environment 2024年 955卷 177002页

作者： Khan, Kiran Yasmin Ali, Barkat Ghani, Hafiz Usman Cui, Xiaoqiang Luo, Xiaohan Ali, Zeshan Ahmed, Waqar Tan, Jinglu Lysenko, Vladimir Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China Food Science Research Institute National Agricultural Research Centre Islamabad44000 Pakistan Hebei Medical University Shijiazhuang050000 China School of Environmental Science and Engineering/Tianjin Key Lab of Biomass Waste Utilization Tianjin University Tianjin300072 China Ecotoxicology Research Program Institute of Plant and Environmental Protection National Agriculture Research Center Islamabad44000 Pakistan Department of Biomedical Biological & Chemical Engineering University of Missouri ColumbiaMO65211 United States Southern Federal University Academy of Biology and Biotechnology Rostov-on-Don344041 Russia International Joint Research Center for Intelligent Optical Sensing and Applications at Jiangnan University Wuxi214122 China

Microplastics, interacting with drought stress, have become threat to crops by altering soil environment. Currently, the effect of combined microplastic and drought stress on crop growth remain poorly understood. In this work, the mechanism of multi-stress responses was investigated under the exposure of polvinylchloride microplastic (PV) and drought (D) individually and in combination (DPV) on rice varieties Hanyou73 and Q280 through proteomics and metabolomic analysis. All treatments negatively affect chlorophyll content, antioxidant enzyme activities, rice grain composition, metabolome and proteomic profiling of both rice varieties. Full rice grain yield was decreased under all treatments except PV treatment in which it was increased in both rice varieties. DPV treatment shows the lowest grain yield and more adverse effects on metabolome by affecting glycerophospholipid metabolism, tryptophan metabolism and alanine, aspartate and glutamate metabolism. Soluble sugar contents were decreased in H73 but in Q280 increased by 159 % under DPV and 123 % in PV treatment, compared to their control group. The results from metabolomics illustrate that glycerophospholipid metabolism is commonly altered in both rice types under all treatments. PV and drought alone and in combination induce extensive alterations in proteomics of rice leaves especially impacting proteins related to binding, translation and photosynthetic process. The results reveal that PV and DPV treatments highly distort the abundance of metabolites and proteins in both rice types, demonstrating that microplastic toxicity effects on rice plants become more severe when combined with drought stress. © 2024 Elsevier B.V.

关键词： Drought Metabolite Polyvinyl chloride microplastic Protein Rice

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Two-stage robust optimization for public health emergency project scheduling with uncertain activity durations

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Computers & Operations Research 2025年 182卷

作者： Yuchen Dong Weibo Zheng Zhiqiang Ma Zhengwen He School of Management Xi’an Jiaotong University Shaanxi Xi’an 710049 China The Key Lab of the Ministry of Education for Process Management & Efficiency Engineering Xi’an Jiaotong University Shaanxi Xi’an 710049 China School of Economics and Management China University of Petroleum (East China) Shandong Qingdao 266580 China

The utilization of emergency projects, which can facilitate the coordinated scheduling of medical resources and rescue activities, offers a promising approach for absorbing disturbances, mitigating damage and achieving restoration from public healthcare catastrophes. However, the complex implementation environment in public health emergencies significantly impacts the preventive effectiveness and rescue efficiency of emergency projects. Considering the substantial uncertainty in activity durations, this study models resource allocation and schedule generation of an emergency project as a two-stage robust optimization formulation to reduce economic expenditure and minimize delayed rescue. Specifically, the preparedness stage is to minimize the pre-deployment cost of emergency resources, and a max–min objective is introduced in the response stage to optimize the deprivation cost affected by random activity durations. Then, as the robust optimization model could be reformulated in a master-submodel framework, we develop a customized column-and-constraint generation (C&CG) algorithm with enhancements based on the structure of the problem and decision variables for rapid problem-solving. Besides, the algorithms are tested on randomly generated datasets, and the influences of key parameters on the algorithm performance, the resource cost and the deprivation cost of the emergency project are analyzed. Based on the computational results, the customized C&CG algorithm with enhancements outperforms others and sensitivity analysis of key parameters is presented. This research provides effective decision support for public health emergency scheduling and draws management insights, validated through a real-world case study that demonstrates the model’s practical effectiveness in enhancing emergency response resilience and efficiency.

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How the Imperfect E-diagnostics Impacts the Capacity Planning and Pricing Decisions of a Maintenance Service Provider

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Procedia CIRP 2019年 83卷 398-403页

作者： Mingyao Sun Feng Wu The School of Management Xi’an Jiaotong University The Key Lab of the Ministry of Education for Process Control & Efficiency Engineering Xi’an 710000 China

Providing online monitoring (E-diagnostics) has become a value-added practice for equipment maintenance service providers to improve the service quality and efficiency. However, the E-diagnostics is always imperfect, whose accuracy depends on how much components of the equipment are monitored (namely, E-diagnostics depth in our research). This research analyzes the optimal capacity planning and pricing problem by taking into account the imperfect E-diagnostics. In addition, we consider the E-diagnostics accelerate effect to the service process and attempt to find how the effect influences the service provider’s decisions. Our results reveal that the optimal pricing and capacity planning decisions are dependent on customers’ failure cost and service provider’s compensation cost. Specifically, if customers’ failure cost is larger than service provider’s compensation, the service provider would improve the price as the E-diagnostics depth increases; otherwise, the price should be lowered as the E-diagnostics depth increases. In addition, we find as the accelerate effect becomes increasingly obvious, customers’ expected waiting time increases but the service price decreases.

关键词： Imperfect E-diagnostics capacity planning pricing E-diagnostics depth accelerate effect

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Auto data augmentation for testing set 1

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2nd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019

作者： Gao, Wanshun Zhao, Xi School of Electronic and Information Engineering Xi’an Jiaotong University Xi’an710049 China School of Management Xi’an Jiaotong University Xi’an710049 China The Key Lab of the Ministry of Education for Process Control & Efficiency Engineering Xi’an710049 China

ISBN: (数字)9783030317232

ISBN: (纸本)9783030317225

Testing phase augmentation is a fast way to further improve the performance of image classification when CNN (Convolutional Neural Network) is already trained for hours. Limited attempts have been made to find the best augmentation strategy for testing set. We propose a reinforcement learning based augmentation strategy searching method for testing phase augmentation. With the augmentation strategy, we augment each testing image and integrate features of its augmented images into one feature. The reinforcement learning method searches the best parameters in the augmentation strategy which is formed as a matrix in this paper. Using the proposed method, we achieve competitive accuracies on image classification and face verification. © Springer Nature Switzerland AG 2019.

关键词： Reinforcement learning

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