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以提高生产率的流水线转单元的变邻域搜索

计算机集成制造系统 2014年第12期20卷 3040-3047页

作者：孙薇于洋唐加福殷勇 kaku ikou 辽宁大学商学院辽宁沈阳110013 东北大学系统工程研究所辽宁沈阳110819 东北财经大学管理科学与工程学院辽宁大连116025 日本山形大学日本东京城市大学

为了探索通过流水线向单元转换的方式来提高生产效率的有效方法,研究了在不增加劳动时间的前提下,通过流水线向单元转化来提高生产效率,即降低产品的流通时间。为了降低流水线向单元转化的多目标模型复杂度,提出了将劳动时间作为约束条... 详细信息

为了探索通过流水线向单元转换的方式来提高生产效率的有效方法,研究了在不增加劳动时间的前提下,通过流水线向单元转化来提高生产效率,即降低产品的流通时间。为了降低流水线向单元转化的多目标模型复杂度,提出了将劳动时间作为约束条件而只考虑最小化产品流通时间的单目标模型。鉴于流水线向单元转化是一个NP-hard问题,针对模型的特点,提出了基于变邻域搜索的算法。通过大量的计算实例,验证了流水线向单元转化可以在不增加劳动时间的前提下有效地提高生产效率,并依据实验结果给出了如何进行单元构造以提高生产效率的建议。

关键词：流水线向单元转化生产效率产品流通时间劳动时间变邻域搜索

Evolutionary Algorithms for Solving Unconstrained Multilevel Lot-Sizing Problem with Series Structure

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Journal of Shanghai Jiaotong university(Science) 2012年第1期17卷 39-44页

作者：韩毅蔡建湖 ikou kaku 李延来陈以增唐加福 College of Economics and Management Zhejiang University of Technology Research Center for Technology Innovation and Enterprise Internationalization Zhejiang University of Technology Department of Management Science and Engineering Akita Prefectural University School of Logistics Southwest Jiaotong University College of International Business and Management Shanghai University Institute of Systems Engineering Northeastern University

This paper presents a comparative study of evolutionary algorithms which are considered to be effective in solving the multilevel lot-sizing problem in material requirement planning(MRP)*** evolutionary algorithms(simulated annealing(SA),particle swarm optimization(PSO)and genetic algorithm(GA))are *** evaluating the performances of algorithms,the distribution of total cost(objective function)and the average computational time are *** a result,both GA and PSO have better cost performances with lower average total costs and smaller standard *** the scale of the multilevel lot-sizing problem becomes larger,PSO is of a shorter computational time.

关键词： simulated annealing(SA) genetic algorithm(GA) particle swarm optimization(PSO) multilevel lot-sizing problem

Research on Dynamic Pricing Model of Electronic Airplane Ticket in Electronic Commerce

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Research on Dynamic Pricing Model of Electronic Airplane Tic...

A novel approach to Parkinson's disease treatment with a potentially dual-acting therapeutic agent that targetsα-synuclein aggregation and neuron death

2009中国控制与决策会议

作者： ikou kaku Department of Management Science Engineering Akita Prefectural UniversityAkita 015-0051Japan

＜正＞The distinctive characteristics of electronic airplane ticket make its pricing method different from traditional pricing *** to the different demands of passengers about the seats,electronic airplane ticket was sorted into *** income of each class of electronic airplane ticket was analyzed,considering its click number online and probability of passengers *** the sake of maximizing the gross revenue of electronic airplane ticket,real-time multi-class dynamic pricing model was built at revenue management point of *** the state parameters in the math model were analyzed according to the operation status of Airline Company in *** recursion of the math model was deduced and *** results of experimentation verified that the methods are practical in computational efficiency and more close to practice.

关键词： Electronic airplane ticket Electronic commerce Dynamic pricing Multi-class pricing Maximum revenue

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Neural Regeneration Research 2024年第12期19卷 2577-2578页

作者： Allison RBalaj Hiroaki kaku Department of Investigative Medicine Western Michigan University Homer Stryker MD School of MedicineKalamazooMIUSA

Parkinson's disease(PD),a prevalent neurodegenerative disorder,is chara cterized by the loss of dopaminergic neurons and the aggregation ofα-synuclein protein into Lewy *** the current standards of therapy have been successful in providing some symptom relief,they fail to address the underlying pathophysiology of PD and as a result,they have no effect on disease progression.

关键词： aggregation death therapeutic

State Estimation of Drive-by-Wire Chassis Vehicle Based on Dual Unscented Particle Filter Algorithm

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Chinese Journal of Mechanical Engineering 2024年第1期37卷 99-113页

作者： Zixu Wang Chaoning Chen Quan Jiang Hongyu Zheng Chuyo kaku State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China Jiangsu Chaoli Electric Co.Ltd. Zhenjiang 212321China

Accurate vehicle dynamic information plays an important role in vehicle driving ***,due to the characteristics of high mobility and multiple controllable degrees of freedom of drive-by-wire chassis vehicles,the current mature application of traditional vehicle state estimation algorithms can not meet the requirements of drive-by-wire chassis vehicle state *** paper proposes a state estimation method for drive-by-wire chassis vehicle based on the dual unscented particle filter algorithm,which make full use of the known advantages of the four-wheel drive torque and steer angle parameters of the drive-by-wire chassis *** the dual unscented particle filter algorithm,two unscented particle filter transfer information to each other,observe the vehicle state information and the tire force parameter information of the four wheels respectively,which reduce the influence of parameter uncertainty and model parameter changes on the estimation accuracy during *** performance with the dual unscented particle filter algorithm,which is analyzed in terms of the time-average square error,is superior of the unscented Kalman filter *** effectiveness of the algorithm is further verified by driving simulator *** this paper,a vehicle state estimator based on dual unscented particle filter algorithm was proposed for the first time to improve the estimation accuracy of vehicle parameters and states.

关键词： Drive-by-wire chassis vehicle Vehicle state estimation Dual unscented particle filter Tire force estimation Unscented particle filter

Real-world efficacy and safety of tofacitinib treatment in Asian patients with ulcerative colitis

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World Journal of Gastroenterology 2024年第13期30卷 1871-1886页

作者： Kentaro Kojima Kenji Watanabe Mikio Kawai Soichi Yagi Koji kaku Maiko Ikenouchi Toshiyuki Sato Koji Kamikozuru Yoko Yokoyama Tetsuya Takagawa Masahito Shimizu Shinichiro Shinzaki Department of Gastroenterology Hyogo Medical UniversityNishinomiya 663-8501Japan Department of Gastroenterology Gifu University Graduate School of MedicineGifu 501-1194Japan Department of Internal Medicine for Inflammatory Bowel Disease The University of ToyamaToyama 930-0194Japan Center for Clinical Research and Education Hyogo Medical UniversityNishinomiya 663-8501Japan

BACKGROUND Real-world data on tofacitinib(TOF)covering a period of more than 1 year for a sufficient number of Asian patients with ulcerative colitis(UC)are *** To investigate the long-term efficacy and safety of TOF treatment for UC,including clinical *** We performed a retrospective single-center observational analysis of 111 UC patients administered TOF at Hyogo Medical University as a tertiary inflammatory bowel disease *** consecutive UC patients who received TOF between May 2018 and February 2020 were *** were followed up until August *** primary outcome was the clinical response rate at week *** outcomes included clinical remission at week 8,cumulative persistence rate of TOF administration,colectomy-free survival,relapse after tapering of TOF and predictors of clinical response at week 8 and week *** The clinical response and remission rates were 66.3%and 50.5%at week 8,and 47.1%and 43.5%at week 48,*** overall cumulative clinical remission rate was 61.7%at week 48 and history of anti-tumor necrosis factor-alpha(TNF-α)agents use had no influence(P=0.25).The cumulative TOF persistence rate at week 48 was significantly lower in patients without clinical remission than in those with remission at week 8(30.9%vs 88.1%;P<0.001).Baseline partial Mayo Score was significantly lower in responders vs non-responders at week 8(odds ratio:0.61,95%confidence interval:0.45-0.82,P=0.001).Relapse occurred in 45.7%of patients after TOF tapering,and 85.7%of patients responded within 4 wk after *** 6 patients with herpes zoster(HZ)developed the infection after achieving remission by *** TOF was more effective in UC patients with mild activity at baseline and its efficacy was not affected by previous treatment with anti-TNF-α*** relapsed patients responded again after re-increase of TOF and nearly half relapsed after tapering off *** attention is needed for tapering and H

关键词： Ulcerative colitis Tofacitinib Janus kinase inhibitor Real-world Biologics

Newfound physiological function of FAIM protein offers hope of novel disease-modifying therapy for Alzheimer's disease

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Neural Regeneration Research 2023年第12期18卷 2677-2679页

作者： Allison RBalaj Hiroaki kaku Department of Investigative Medicine Western Michigan University Homer Stryker M.D.School of MedicineKalamazooMIUSA

Introduction of Fas apoptosis inhibitory molecule(FAIM): FAIM was originally discovered in FASresistant mouse primary B lymphocytes in 1999, and was thought of as a FAS-apoptosis inhibitor based on overexpression studies(Schneider et al., 1999). FAIM is an approximately 20 k Da intracellular protein, but a subsequent study identified an alternatively spliced form.

关键词： al. Alzheimer lymphocytes

Scale variant vehicle object recognition by CNN module of multipooling- PCA process

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Journal of Intelligent and Connected Vehicles

Journal of Intelligent and Connected Vehicles 2023年第4期6卷 227-236页

作者： Yuxiang Guo Itsuo Kumazawa Chuyo kaku Department of Information and Communications Engineering Tokyo Institute of TechnologyTokyo 152-8550Japan Research and Development Center Jiangsu Chaoli Electric Manufacture Co.Ltd.Shanghai 212321China

The moving vehicles present different scales in the image due to the perspective effect of different viewpoint *** premise of advanced driver assistance system(ADAS)system for safety surveillance and safe driving is early identification of vehicle targets in front of the ego *** recognition of the same vehicle at different scales requires feature learning with scale *** existing feature vector methods,the normalized PCA eigenvalues calculated from feature maps are used to extract scale-invariant *** study proposed a convolutional neural network(CNN)structure embedded with the module of multi-pooling-PCA for scale variant object *** validation of the proposed network structure is verified by scale variant vehicle image *** with scale invariant network algorithms of Scale-invariant feature transform(SIFT)and FSAF as well as miscellaneous networks,the proposed network can achieve the best recognition accuracy tested by the vehicle scale variant *** testify the practicality of this modified network,the testing of public dataset ImageNet is done and the comparable results proved its effectiveness in general purpose of applications.

关键词： object detection scale invariance spatial pyramid pooling multi-pooling convolutional neural network(CNN)

Blind Spot Obstacle Detection from Monocular Camera Images with Depth Cues Extracted by CNN

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Automotive Innovation 2018年第4期1卷 362-373页

作者： Yuxiang Guo Itsuo Kumazawa Chuyo kaku Department of Information and Communication Engineering Tokyo Institute of TechnologyTokyo 152-8550Japan Research and Development Center LBN Corporation Ltd.Shanghai 200233China

The images from a monocular camera can be processed to detect depth information regarding obstacles in the blind spot area captured by the side-view camera of a *** depth information is given as a classification result“near”or“far”when two blocks in the image are compared with respect to their distances and the depth information can be used for the purpose of blind spot area *** this paper,the proposed depth information is inferred from a combination of blur cues and texture *** depth information is estimated by comparing the features of two image blocks selected within a single image.A preliminary experiment demonstrates that a convolutional neural network(CNN)model trained by deep learning with a set of relatively ideal images achieves good *** same CNN model is applied to distinguish near and far obstacles according to a specified threshold in the vehicle blind spot area,and the promising results are *** proposed method uses a standard blind spot camera and can improve safety without other additional sensing ***,the proposed approach has the potential to be applied in vehicular applications for the detection of objects in the driver’s blind spot.

关键词： Coarse-to-fine analysis Convolutional neural network Blind spot detection Principal component analysis Discrete cosine transformation