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Fuzzy finish time modeling for project scheduling

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2010年第12期11卷 946-952页

作者： Yu-chuan LIU Shih-ming yang Yu-te LIN Department of Information Management Tainan University of Technology Taiwan Tainan Department of Aeronautics and Astronautics National Cheng Kung University Taiwan Tainan

This research aims at developing a new fuzzy activity finish time estimation model for project scheduling *** the application of the fuzzy quality function deployment (FQFD) and fuzzy analytic hierarchy process (FAHP) methods,the degree of fuzziness for every project activity is calculated in accordance with considerations of project *** uncertainties are measured by the risk level of such project-related characteristics as time limit,activity start time,budget,manpower,technological difficulty,and facility *** this paper,rather than applying the de-fuzzification technique to obtain the crisp activity duration for project scheduling,the fuzzy finish time estimation method for every activity is proposed based on the degree of *** corresponding fuzzy activity duration time plot is also developed in a new fuzzy Gantt *** proposed model can provide a reasonable fuzzy finish time estimation for every activity,while most scheduling methods only provide the finish time of the entire *** to existing models,this time estimation model and its corresponding Gantt chart are predicted to have higher reliability and practical application in project management and scheduling.

关键词： Fuzzy quality function deployment (FQFD) Fuzzy analytic hierarchy process (FAHP) Fuzzy Gantt chart Project management Project scheduling

Two-Dimensional Organometallic TM3–C12S12 Monolayers for Electrocatalytic Reduction of CO2

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Energy & Environmental Materials 2019年第3期2卷 193-200页

作者： Jin-Hang Liu Li-ming yang Eric Ganz Hubei Key Laboratory of Bioinorganic Chemistry and Materia Medica Key Laboratory of Material Chemistry for Energy Conversion and StorageMinistry of EducationHubei Key Laboratory of Materials Chemistry and Service FailureSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan China School of Physics and Astronomy University of MinnesotaMinneapolis MN USA

Organometallic nanosheets are a versatile platform for design of efficient electrocatalyst materials due to their high surface area and uniform dispersion of metal active *** this paper,we systematically investigate the electrocatalytic performance of the first transition metal series TM3–C12S12 monolayers on CO2 using spin-polarized density functional *** calculations show that M3–C12S12 exhibits excellent catalytic activity and selectivity in the catalytic reduction in *** main reduction products of Sc,Ti,and Cr are CH4.V,Mn,Fe and Zn mainly produce HCOOH,and Co produces HCHO,while CO is the main product for Ni and *** Sc,Ti,and Cr,the overpotentials are>0.7 V,while for V,Mn,Fe,Co,Ni,Cu,Zn,the overpotentials are very low and range from 0.27 to 0.47 ***,our results indicate that many of the M3–C12S12 monolayers are expected to be excellent and efficient CO2 reduction catalysts.

关键词： density functional theory electrocatalytic reduction of CO2 organometallic TM3-C12S12 Monolayers single atom catalyst two-dimensional materials

Effect of Artemisia annua Extract on Treating Active Rheumatoid Arthritis:A Randomized Controlled Trial

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Chinese Journal of Integrative Medicine 2017年第7期23卷 496-503页

作者： yang Min GUO ming-yang LUO Yong YUN ming-dong YAN Jiao LIU Tao XIAO Chang-hong Department of Traditional Chinese Medicine Rheumatology Center of Integrated Traditional and Western MedicineGeneral Hospital of Chengdu Military Area Command PLA Department of Internal Medicine School of Traditional Chinese MedicineSouthern Medical University

Objective：To investigate the effect and safety of the complementary use of the extract of Artemisia annua L.（EAA） on treating active rheumatoid arthritis（RA）. Methods：A randomized controlled clinical trial was performed. All the 159 participates with active RA were randomly assigned to the control group（80 cases） and EAA group（79 cases） using concealed random allocation method. In the control group, patients were medicated with leflunomide and methotrexate for 48 weeks; and patients in the EAA group were administrated with leflunomide, methotrexate plus EAA（30 g/d）. At the time points of 0, 12, 24 and 48 weeks, the clinical outcome measures, including objective pain score, tenderness score, number of painful joints, number of swollen joints, health assessment questionnaire（HAQ） score for quality of life, levels of serum rheumatoid factor（RF）, anti-cyclic citrullinated protein antibodies（CCP-Ab）, erythrocyte sedimentation rate（ESR）, C reactive protein（CRP）, visual analogue score for pain（VAS）, and the overall efficacy were detected and recorded. Results：The objective pain score, number of painful joints and ESR at 12 weeks, tenderness score and HAQ at 24 weeks, and the tenderness score, number of painfull joints, number of swollen joints, HAQ, CRP, RF and CCP-Ab at 48 weeks were significantly improved in the EAA group compared with the control group（P〈0.01 or P〈0.05）. At 24 and 48 weeks, the overall efficacy of the EAA group was significantly higher than the control group（P〈0.01）. There were significantly higher withdrawal rate of corticosteroids within 12 weeks post-treatment and lower incidence rate of adverse effects in the EAA group compared with the control group（P〈0.01 or P〈0.05）. Conclusion：EAA plus methotrexate and leflunomide were more effective and safer than the routine use of methotrexate and leflunomide in the treatment of active RA.

关键词： rheumatoid arthritis leflunomide methotrexate Artemisia annua Chinese medicine

Characterization of the Flow Separation of a Variable Camber Airfoil

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Chinese Physics Letters 2012年第4期29卷 137-140页

作者： yang Wen-Chao WANG Hui yang Jian-Ting yang Ji-ming Department of Modern Mechanics University of Science and Technology of ChinaHefei 230027

An experimental investigation is carried out to study the flow separation behaviors of a variable camber *** aerodynamic load measurements and related flow visualization show that there are two types of stalls caused by the deformation on the camber:the leading-edge stall and the trailing-edge *** measurements of aerodynamic force show a drastic leading-edge stall,while the serial measurements on an airfoil with camber deformation illustrate a trailing-edge stall and gradual bending-over on the aerodynamic coefficient *** flow separation circumstances,the flow structure is related not only to current boundary conditions,but also the previous flow characteristics,so the quasi-steady aerodynamic characteristics are significantly distinct from those of the static measurements.

关键词： airfoil flow trail

High-precision shape approximation low-thrust trajectory optimization method satisfying bi-objective index

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Chinese Journal of Aeronautics 2022年第1期35卷 436-457页

作者： Ruiye JIANG ming yang Songyan WANG Tao CHAO Rajan SHANKARAN Control and Simulation Center Harbin Institute of TechnologyHarbin 150080China Department of Computing Macquarie UniversitySydneyNSW 2109Australia

The shape approximation method has been proven to be rapid and practicable in resolving low-thrust trajectory;however,it still faces the challenges of large deviation from the optimal solution and inability to satisfy the specific flight time and fuel mass *** this paper,a modified shape approximation low-thrust model is presented,and a novel constrained optimization algorithm is developed to solve this *** proposed method aims at settling the bi-objective optimization orbit involving the twin objectives of minimum flight time and low fuel consumption and enhancing the accuracy of optimized *** particular,a transformed high-order polynomial model based on finite Fourier series is proposed,which can be characterized as a multi-constraint optimization ***,a novel optimization algorithm is specifically developed to optimize the large-scale multi-constraint dynamical equations of shape *** key performance indicators of the index include minimum flight time,low fuel consumption and bi-objective optimization of the *** results prove that this approach possesses both the high precision achievable by numerical methods and low computational complexity offered by shape approximation ***,the Pareto front of the fuel-time bi-objective optimization orbit is firstly introduced to analyze an intact optimal solution ***,we have demonstrated that our proposed approach is appropriate to generate the preliminary orbit for pseudo-spectral method.

关键词： Constrained optimization Intelligent optimization Low-thrust trajectory Multi-objective optimization Shape approximation method

Data-driven Anomaly Detection Method Based on Similarities of Multiple Wind Turbines

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 803-818页

作者： Xiangjun Zeng ming yang Chen Feng mingqiang Wang Lingqin Xia the College of Electrical Engineering&New Energy China Three Gorges UniversityYichang 443002China the Key Laboratory of Power System Intelligent Dispatch and Control Shandong UniversityJinan 250061China

The operating conditions of wind turbines(WTs)in the same wind farm(WF)may share similarities due to their shared manufacturing process,control strategy,and operating ***,the similarities of WTs are seldom considered in WT anomaly detection,resulting in the disregard of useful *** paper proposes a method to improve the reliability and accuracy of WT anomaly detection using the supervisory control and data acquisition(SCADA)data of multiple WTs in the same ***,a similarity assessment method based on a comparison of different observation time series is proposed,which objectively quantifies the similarities of WT operating ***,the SCADA data of the target WT and selected WTs that are similar are used to establish several estimation models through a long short-term memory(LSTM)*** models that exhibit good estimation performance are used to construct a combined estimation model that estimates the variations in the monitored variables of the target ***,an anomaly detection method that jointly compares the effective value and information entropy of the residuals is proposed to identify *** effectiveness and accuracy of the proposed method are verified using the data of two actual WFs.

关键词： Anomaly detection information entropy long short-term memory similarity assessment wind farm wind turbines

Diagnostic biomarkers for pancreatic cancer:An update

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World Journal of Gastroenterology 2021年第45期27卷 7862-7865页

作者： ming yang Chun-Ye Zhang Department of Surgery University of MissouriColumbiaMO 65212United States Department of Veterinary Pathobiology University of MissouriColumbiaMO 65212United States

Pancreatic ductal adenocarcinoma accounts for the primary type of pancreatic cancer(PC)with a 5-year survival rate of only about 10%in the United *** diagnosis will improve chances for curative *** date,a broadly used serum marker for PC diagnosis is carbohydrate antigen 19-9,which is the only approved biomarker currently by the United States Food and Drug ***,it has low specificity;therefore,development of novel biomarkers is urgently *** trials are ongoing to evaluate candidate biomarkers for PC diagnosis,and the use of a multi-biomarker panel with current PC diagnostic biomarkers appears promising.

关键词： Pancreatic ductal adenocarcinoma Diagnosis Biomarkers Panel Clinical trials

Recent Progress on Electrocatalytic Valorization of Biomass-Derived Organics

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Energy & Environmental Materials 2022年第4期5卷 1117-1138页

作者： ming yang Zhenran Yuan Rixin Peng Shuangyin Wang Yuqin Zou State Key Laboratory of Chem/Bio-Sensing and Chemometrics Provincial Hunan Key Laboratory for Graphene Materials and DevicesCollege of Chemistry and Chemical EngineeringHunan UniversityChangsha 410082China E-mail:yuqin_zou@***

Electrocatalytic valorization of biomass derivatives can be powered by electricity generated from renewable sources such as solar and wind energy.A shift from centralized,high-temperature,and energy-intensive processes to decentralized,low-temperature conversions is achieved,which meets the requirement of sustainable energy *** approach provides an efficient,green,and additive-free strategy for biomass derivative valorization,in which product selectivity could be easily regulated by the applied potential and electrocatalyst ***,a scale-up application is still far from being completed due to the inability of conversion rates and selectivity to meet the industrialization requirements.A better understanding of the reaction mechanism and the development of highefficiency and high-selectivity electrocatalysts are required to pave the path toward larger industrialization ***,we summarize the recent research progress in the electrocatalytic oxidation and hydrogenation of platform compounds such as furanic compounds and *** the literature,these three research areas are integrated to realize the scale-up application of the processes as mentioned *** investigations of the mechanism are based on in situ techniques,theoretical calculations,and advanced electrocatalyst ***,the challenges and prospects in this topic are *** expect that this review will provide the fundamental understanding and design guidelines to achieve efficient and high-selectivity catalysts and further facilitate the scale-up application of the electrocatalytic conversion of biomass derivatives.

关键词： electrocatalyst electrochemical hydrogenation electrochemical oxidation furanic compound glycerol

Fusing Geometrical and Visual Information via Superpoints for the Semantic Segmentation of 3D Road Scenes

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Tsinghua Science and Technology 2020年第4期25卷 498-507页

作者： Liuyuan Deng ming yang Zhidong Liang Yuesheng He Chunxiang Wang the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China the Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China the Research Institute of Robotics Shanghai Jiao Tong UniversityShanghai 200240China

This paper addresses the problem of the semantic segmentation of large-scale 3D road scenes by incorporating the complementary advantages of point clouds and *** make full use of geometrical and visual information,this paper extracts 3D geometric features from a point cloud using a deep neural network for 3D semantic segmentation and extracts 2D visual features from images using a Convolutional Neural Network(CNN)for 2D semantic *** order to bridge the features of the two modalities,this paper uses superpoints as an intermediate representation to connect the 2D features with the 3D features.A superpoint-based pooling method is proposed to fuse the features from the two different modalities for joint *** evaluate the approach,the paper generates 3D scenes from the Virtual KITTI *** results of the experiments demonstrate that the proposed approach is capable of segmenting large-scale 3D road scenes based on the compact and semantically homogeneous superpoints,and that it achieves considerable improvements over the 2D image and 3D point cloud semantic segmentation methods.

关键词： scene understanding point cloud semantic segmentation multi-modal information fusion deep learning