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Engineering 2024年第4期35卷 32-45页

作者： Yaqiong Liu shudong sun Gaopan Shen Xi Vincent Wang Magnus Wiktorsson Lihui Wang Department of Industrial Engineering Northwestern Polytechnical UniversityXi’an 710072China Key Laboratory of Industrial Engineering and Intelligent Manufacturing Ministry of Industry and Information TechnologyXi’an 710072China Department of Production Engineering KTH Royal Institute of TechnologyStockholm 10044Sweden

This paper addresses a multi-agent scheduling problem with uniform parallel machines owned by a resource agent and competing jobs with dynamic arrival times that belong to different consumer *** agents are self-interested and rational with the aim of maximizing their own objectives,resulting in intense resource competition among consumer agents and strategic behaviors of unwillingness to disclose private *** the context,a centralized scheduling approach is unfeasible,and a decentralized approach is considered to deal with the targeted *** study aims to generate a stable and collaborative solution with high social welfare while simultaneously accommodating consumer agents’preferences under incomplete *** this purpose,a dynamic iterative auction-based approach based on a decentralized decision-making procedure is *** the proposed approach,a dynamic auction procedure is established for dynamic jobs participating in a realtime auction,and a straightforward and easy-to-implement bidding strategy without price is presented to reduce the complexity of bid *** addition,an adaptive Hungarian algorithm is applied to solve the winner determination problem efficiently.A theoretical analysis is conducted to prove that the proposed approach is individually rational and that the myopic bidding strategy is a weakly dominant strategy for consumer agents submitting *** computational experiments demonstrate that the developed approach achieves high-quality solutions and exhibits considerable stability on largescale problems with numerous consumer agents and jobs.A further multi-agent scheduling problem considering multiple resource agents will be studied in future work.

关键词： Multi-agent scheduling Decentralized scheduling Auction Dynamic jobs Private information

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Learning Bayesian network structure with immune algorithm

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Journal of Systems Engineering and Electronics 2015年第2期26卷 282-291页

作者： Zhiqiang Cai Shubin Si shudong sun Hongyan Dui Ministry of Education Key Laboratory of Contemporary Design and Integrated Manufacturing Technology School of Mechatronics Northwestern Polytechnical University

Finding out reasonable structures from bulky data is one of the difficulties in modeling of Bayesian network （BN）, which is also necessary in promoting the application of BN. This pa- per proposes an immune algorithm based method （BN-IA） for the learning of the BN structure with the idea of vaccination. Further- more, the methods on how to extract the effective vaccines from local optimal structure and root nodes are also described in details. Finally, the simulation studies are implemented with the helicopter convertor BN model and the car start BN model. The comparison results show that the proposed vaccines and the BN-IA can learn the BN structure effectively and efficiently.

关键词： structure learning Bayesian network immune algorithm local optimal structure vaccination

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Advanced hemocompatible polyethersulfone composite artificial lung membrane with efficient CO_(2)/O_(2)exchange channel constructed by modified carbon nanotubes network

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Journal of Materials Science & Technology 2023年第29期160卷 181-193页

作者： Yunbo Feng Qian Wang shudong sun Weifeng Zhao Changsheng Zhao College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065China School of Chemical Engineering Sichuan UniversityChengdu 610065China

Artificial lung membranes as the core module of the extracorporeal membrane oxygenation technology(ECMO)execute the function of extracorporeal blood-gas barrier accomplishing CO_(2)/O_(2)exchange with ***,the unsatisfactory hemocompatibility and difficulty in functionalization are the promi-nent challenges faced by current artificial lung membrane *** this study,polyethersulfone(PES)composite membranes with self-anticoagulant property and high gas exchange efficient are fabricated by blending PES matrix with poly(vinylamine)(PVAm)modified carboxylic carbon nanotubes(mCNTs)and citrate-based poly(octamethylene-citrate)(POC)*** mCNTs construct specific gas transfer channels within the composite membranes to enhance the gas permeability,while the POC pre-polymers provide anticoagulant property based on the chelation to blood Ca^(2+)and the inactivation effect to in-trinsic coagulation ***,directed by the actual ECMO gas exchange mode,we design a gas-liquid convectional circulation device that could evaluate gas exchange efficiency for the composite membranes under mimetic ECMO ***,this strategy not only proposes a new design method of advanced artificial lung membranes to solve the practical challenges in the current ECMO technology,but also establishes a scientific testing method to evaluate the gas exchange performance for new-type artificial lung membrane materials in the future.

关键词： Composite membrane material Modified carbon nanotubes Artificial lung membranes Hemocompatibility Gas exchange

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A decomposition approach to job-shop scheduling problem with discretely controllable processing times

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Science China(Technological Sciences) 2011年第5期54卷 1240-1248页

作者： NIU GangGang sun shudong LAFON Pascal YANG HongAn Institute of System Integration and Engineering Management Key Lab of Contemporary Design and Integrated Manufacturing Technology MOE Xi'an 710072 China Institut Charles Delaunay-LASMIS FRE CNRS 28 48 Universite de Technologie de Troyes Troyes 10010 France

Job-shop scheduling problem with discretely controllable processing times (JSP-DCPT) is modeled based on the disjunctive graph, and the formulation of JSP-DCPT is presented. A three-step decomposition approach is proposed so that JSP-DCPT can be handled by solving a job-shop scheduling problem (JSP) and a series of discrete time-cost tradeoff problems. To simplify the decomposition approach, the time-cost phase plane is introduced to describe tradeoffs of the discrete time-cost tradeoff problem, and an extreme mode-based set dominant theory is elaborated so that an upper bound is determined to cut discrete time-cost tradeoff problems generated by using the proposed decomposition approach. An extreme mode-based set dominant decomposition algorithm (EMSDDA) is then proposed. Experimental simulations for instance JSPDCPT_FT10, which is designed based on a JSP benchmark FT10, demonstrate the effectiveness of the proposed theory and the decomposition approach.

关键词： job-shop scheduling discretely controllable processing times time-cost tradeoff decomposition

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Multi-EAP: Extended EAP for multi-estimate extraction for SMC-PHD filter

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Chinese Journal of Aeronautics 2017年第1期30卷 368-379页

作者： Li Tiancheng Juan M.Corchado sun shudong Fan Hongqi School of Science University of Salamanca School of Mechanical Engineering Northwestern Polytechnical University ATR Key Laboratory National University of Defense Technology

The ability to extract state-estimates for each target of a multi-target posterior, referred to as multi-estimate extraction（MEE）, is an essential requirement for a multi-target filter, whose key performance assessments are based on accuracy, computational efficiency and reliability. The probability hypothesis density（PHD） filter, implemented by the sequential Monte Carlo approach,affords a computationally efficient solution to general multi-target filtering for a time-varying number of targets, but leaves no clue for optimal MEE. In this paper, new data association techniques are proposed to distinguish real measurements of targets from clutter, as well as to associate particles with measurements. The MEE problem is then formulated as a family of parallel singleestimate extraction problems, facilitating the use of the classic expected a posteriori（EAP） estimator, namely the multi-EAP（MEAP） estimator. The resulting MEAP estimator is free of iterative clustering computation, computes quickly and yields accurate and reliable estimates. Typical simulation scenarios are employed to demonstrate the superiority of the MEAP estimator over existing methods in terms of faster processing speed and better estimation accuracy.

关键词： Data association EAP estimator Multi-target tracking PHD filter Particle filter

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Integrated importance measure for multi-state coherent systems of k level

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Journal of Systems Engineering and Electronics 2013年第6期24卷 1029-1037页

作者： Xibin Zhao Shubin Si Hongyan Dui Zhiqiang Cai shudong sun Key Laboratory for Information System Security of Ministry of Education School of SoftwareTsinghua University Ministry of Education Key Laboratory of Contemporary Design and Integrated Manufacturing Technology School of MechatronicsNorthwestern Polytechnical University

To verify the effectiveness of the integrated importance measure （IIM） for multi-state coherent systems of k level, the definition and physical meaning of IIM are demonstrated. Then, the improvement potential and Δ-importance measures are generalized to multi-state coherent systems based on the system performance level, and the relationships between IIM and traditional importance measures are discussed. The characteristics of IIM are demonstrated in both series and parallel systems. Also, an application to an oil transportation system is given. The comparison results show that：（i） IIM has some useful properties that are not possessed by traditional importance measures; （ii） IIM is effective in evaluating the component role in multi-state systems when the component reliability and the failure rate are simultaneously considered.

关键词： multi-state coherent system system performance level integrated importance measure system reliability

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Importance measure of system reliability upgrade for multi-state consecutive k-out-of-n systems

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Journal of Systems Engineering and Electronics 2012年第6期23卷 936-942页

作者： HonQvan Dui Shubin si Zhiqiang Cai shudong sun Yingfeng Zhang School of Mechatronics Northwestern Polytechnical University Xi'an 710072 P. R. China

Importance measures in reliability systems are used to identify weak components in contributing to a proper function of the system. Traditional importance measures mainly concerned the changing value of the system reliability caused by the change of the reliability of the component, and seldom considered the joint effect of the probability distribution, improvement rate of the object component. This paper studies the rate of the system reliability upgrading with an improvement of the component reliability for the multi-state consecutive k-out-of-n system. To verify the multi-state consecutive k-out-of-n system reliability upgrading by improving one component based on its improvement rate, an increasing potential importance （IPI） and its physical meaning are described at first. Secondly, the relationship between the IPI and Birnbaum importance measures are discussed. And the IPI for some different improvement actions of the component is further discussed. Thirdly, the characteristics of the IPI are analyzed. Finally, an application to an oil pipeline system is given.

关键词： system reliability multi-state consecutive k-out-of-nsystem improvement Birnbaum importance.

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Multi-functional polyethersulfone nanofibrous membranes with ultra-high adsorption capacity and ultra-fast removal rates for dyes and bacteria

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Journal of Materials Science & Technology 2021年第19期78卷 131-143页

作者： Jianxu Bao Hang Li Yuanting Xu Shengqiu Chen Zhoujun Wang Chunji Jiang Huilin Li Zhiwei Wei shudong sun Weifeng Zhao Changsheng Zhao College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu610065China College of Chemical Engineering Sichuan University.Chengdu610065.China College of Biomedical Engineering Sichuan UniversityChengdu610064China

The adsorption technology has been widely applied in water remediation for contamination removal of dyes and bacteria,by virtue of the advantages of adsorption technology including high efficiency,energy conservation and ease of *** removal of dyes and bacteria has been realized by some reported materials,but to achieve satisfactory adsorption amounts and rates remain an unmet goal for ***,a poly(methacrylatoethyl trimethyl ammonium chloride-co-methyl methacrylate)copolymer was synthesized,and then blended with polyethersulfone for the fabrication of nanofibrous membranes via electrospinning for the use of fast and massive removal of dyes and *** to the introduction of abundant quaternary ammonium groups,the maximum adsorption amount for methyl orange was up to 909.8 mg g^(-1).In addition,the modified nanofibrous membranes showed good recyclability,broad applications in severe environments,selective adsorption ability,and excellent dynamic removal ***,thanks to the abundant functional groups,the membranes showed fast adsorption ability for bacteria through electrostatic *** should be noted that the clearance ratio for Staphylococcus aureus or Escherichia coli by 6 min of static adsorption could reach 93%or 90%for ***,dynamic removal ratio via filtration with the nanofibrous membranes could reach 99.7%for Staphylococcus aureus or 98.7%for Escherichia coli in 90 ***,the proposed approach towards the quaternary ammonium modified polyethersulfone nanofibrous membranes creates a new route for ultra-high adsorption capacity and ultra-fast removal rates for dyes and bacteria in water remediation.

关键词： Electrospinning Dye Bacteria Water remediation Nanofibrous membrane

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An empirical analysis on factors influencing ecological migration in minority areas of China

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Ecological Economy 2009年第3期5卷 290-297页

作者： Huang Lijun sun shudong Northwestern Polytechnical University Xi＇an 710072 P. R. China

Taking Ningxia Hui Autonomous Region as an example, this research makes an empirical analysis on the factors influencing the migration activities of the research subject: the southern mountainous farmers who don't emigrate and the farmers who immigrated in Hongsibao Development Zone. With Probit Model, the research shows that the age, educational degree, farming land per capita, number of school-aged children, vocational training experience and the quantity of gained information are all the factors which influence the farmers' emigration choice. However, the influential strength of the factors is different. The research aims to provide the government with more scientific evidences for its policies of promoting ecological migration and to encourage more poverty families to immigrate into the areas suitable for living.

关键词： Ethnic group areas Ecological migration Influential factors

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基于优化核空间的制造过程质量分析算法

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机械工程学报 2012年第22期48卷 182-188页

作者：王萌孙树栋西北工业大学系统集成与工程管理研究所西安710072 西北工业大学现代设计与集成制造技术教育部重点实验室西安710072

为帮助制造企业处理积累的海量制造过程质量数据,数据挖掘方法可以帮助企业从中发现有用的知识和模式进行有效的质量分析及改进。制造过程质量数据的特点如下:混合型数据、分布不均衡、维度灾难及数据耦合。提出一种基于等价关系的数据... 详细信息

为帮助制造企业处理积累的海量制造过程质量数据,数据挖掘方法可以帮助企业从中发现有用的知识和模式进行有效的质量分析及改进。制造过程质量数据的特点如下:混合型数据、分布不均衡、维度灾难及数据耦合。提出一种基于等价关系的数据预处理算法对原始数据做属性选取,解决混合型数据的特征选取及数据预处理问题。针对数据分布不均衡、维度灾难特点,提出基于优化核空间的混合流形学习及支持向量机算法(Optimized kernel based hybrid manifold learning and supportvector machines algorithm,KML-SVM)。在KML-SVM算法中,使用流形学习算法解决采集的质量数据的维度灾难问题,用支持向量机对低维嵌入数据分类预测,并优化支持向量机的核空间以达到分类精度最大化。以某制造企业实际制造过程数据为例对算法进行仿真验证。通过对仿真结果的分析找出质量数据的质量因素关系并提出质量改进方案。试验结果表明提出的ISOMAP核空间是最优核空间,提出的KML-SVM算法能够有效处理制造过程质量数据。

关键词：质量改进流形学习支持向量机等价关系

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