• 제목/요약/키워드: Optimizing

검색결과 2,932건 처리시간 0.033초

GA를 이용한 전기유압식 가변펌프의 압력제어 (Pressure Control of Electro-Hydraulic Variable Displacement Pump Using Genetic Algorithms)

  • 안경관;현장환;조용래;오범승
    • 한국정밀공학회지
    • /
    • 제21권9호
    • /
    • pp.48-55
    • /
    • 2004
  • This study presents a genetic algorithm-based method fur optimizing control parameters in the pressure control of electro-hydraulic pump with variable displacement. Genetic algorithms are general-purpose optimization methods based on natural evolution and genetics and search the optimal control parameters maximizing a measure that evaluates the performance of a system. Four control gains of the PI-PD cascade controller for an electro-hydraulic pressure control system are optimized using a genetic algorithm in the experiment. Optimized gains are confirmed by inspecting the fitness distribution which represents system performance in gain spaces. It is shown that genetic algorithm is an efficient scheme in optimizing control parameters of the pressure control of electro-hydraulic pump with variable displacement.

2D Sparse Array Transducer Optimization for 3D Ultrasound Imaging

  • Choi, Jae Hoon;Park, Kwan Kyu
    • 비파괴검사학회지
    • /
    • 제34권6호
    • /
    • pp.441-446
    • /
    • 2014
  • A 3D ultrasound image is desired in many medical examinations. However, the implementation of a 2D array, which is needed for a 3D image, is challenging with respect to fabrication, interconnection and cabling. A 2D sparse array, which needs fewer elements than a dense array, is a realistic way to achieve 3D images. Because the number of ways the elements can be placed in an array is extremely large, a method for optimizing the array configuration is needed. Previous research placed the target point far from the transducer array, making it impossible to optimize the array in the operating range. In our study, we focused on optimizing a 2D sparse array transducer for 3D imaging by using a simulated annealing method. We compared the far-field optimization method with the near-field optimization method by analyzing a point-spread function (PSF). The resolution of the optimized sparse array is comparable to that of the dense array.

Optimizing structural topology patterns using regularization of Heaviside function

  • Lee, Dongkyu;Shin, Soomi
    • Structural Engineering and Mechanics
    • /
    • 제55권6호
    • /
    • pp.1157-1176
    • /
    • 2015
  • This study presents optimizing structural topology patterns using regularization of Heaviside function. The present method needs not filtering process to typical SIMP method. Using the penalty formulation of the SIMP approach, a topology optimization problem is formulated in co-operation, i.e., couple-signals, with design variable values of discrete elements and a regularized Heaviside step function. The regularization of discontinuous material distributions is a key scheme in order to improve the numerical problems of material topology optimization with 0 (void)-1 (solid) solutions. The weak forms of an equilibrium equation are expressed using a coupled regularized Heaviside function to evaluate sensitivity analysis. Numerical results show that the incorporation of the regularized Heaviside function and the SIMP leads to convergent solutions. This method is tested using several examples of a linear elastostatic structure. It demonstrates that improved optimal solutions can be obtained without the additional use of sensitivity filtering to improve the discontinuous 0-1 solutions, which have generally been used in material topology optimization problems.

GPGPU를 위한 공유 메모리 최적화 (Optimizing Shared Memory Accesses for GPGPU Computations)

  • 쟌 느앗 프엉;이명호;홍석원
    • 한국정보처리학회:학술대회논문집
    • /
    • 한국정보처리학회 2012년도 추계학술발표대회
    • /
    • pp.197-199
    • /
    • 2012
  • 최근 GPU 의 뛰어난 부동 소수점 연산 능력을 활용하여 그래픽 이외에 다양한 응용 프로그램들의 병렬화 및 성능최적화가 활발하게 이루어지고 있다. 이러한 GPU 의 성능을 극대화하기 위해서는 메모리 계층구조 및 shared memory 를 비롯한 on-chip 메모리의 사용을 최적화하는 것이 필수적이다. 본 논문에서는 이러한 shared memory 의 사용을 최적화하기 위한 기법들을 제안하고, 이를 패턴 매칭 응용 프로그램에 적용하여 효용성을 검증한다.

Several Issues Closely Related to Construction in the Structural Design of Wuhan Center

  • Jian, Zhou
    • 국제초고층학회논문집
    • /
    • 제11권3호
    • /
    • pp.189-196
    • /
    • 2022
  • The practical difficulties of construction will impose many restrictions on the structural design, and the construction method can also provide unexpected ideas for solving design problems. Through the discussion of three issues closely related to construction in the structural design of Wuhan Center, this paper illustrates the importance of in-depth consideration of the construction situations in the structural design stage. The topics of "Connection between Embedded Steel Plates in Steel Plate Composite Shear Wall" and "Connection Joint between Outrigger Truss and Core Wall" are about how to facilitate on-site construction by simplifying and optimizing detail design. The topic of "Adjusting Internal Force Distribution by Optimizing Construction Sequence" is about how to make the construction process a tool for structural design.

Structural monitoring and maintenance by quantitative forecast model via gray models

  • C.C. Hung;T. Nguyen
    • Structural Monitoring and Maintenance
    • /
    • 제10권2호
    • /
    • pp.175-190
    • /
    • 2023
  • This article aims to quantitatively predict the snowmelt in extreme cold regions, considering a combination of grayscale and neural models. The traditional non-equidistant GM(1,1) prediction model is optimized by adjusting the time-distance weight matrix, optimizing the background value of the differential equation and optimizing the initial value of the model, and using the BP neural network for the first. The adjusted ice forecast model has an accuracy of 0.984 and posterior variance and the average forecast error value is 1.46%. Compared with the GM(1,1) and BP network models, the accuracy of the prediction results has been significantly improved, and the quantitative prediction of the ice sheet is more accurate. The monitoring and maintenance of the structure by quantitative prediction model by gray models was clearly demonstrated in the model.

Optimizing Construction Alternatives for Scheduling Repetitive Units

  • Park, Sang-Min;Lee, Dong-Eun
    • 국제학술발표논문집
    • /
    • The 6th International Conference on Construction Engineering and Project Management
    • /
    • pp.158-160
    • /
    • 2015
  • Efficient scheduling and resource management are the key factor to reduce construction project budget (e.g., labor cost, equipment cost, material cost, etc.). Resource-based line of balance (LOB) technique has been used to complement the limitations of existing time-driven scheduling techniques (e.g., critical-path method). Optimizing construction alternatives contributes to cost savings while honoring the project deadline. However, existing LOB scheduling is lack of identifying optimal resource combination. This study presents a method which identifies the optimal construction alternatives, hence achieving resource minimization in a repetitive construction by using genetic algorithm (GA). The method provides efficient planning tool that enhances the usability of the system.

  • PDF

Research on improving efficiency in VR game development

  • Kim Tae Gyu
    • International Journal of Advanced Culture Technology
    • /
    • 제11권4호
    • /
    • pp.74-80
    • /
    • 2023
  • Currently, hardware companies such as Oculus, Samsung, and HTC are producing virtual reality devices, and game software development companies are developing or servicing VR games using these devices. Accordingly, the VR game market is expected to continue to grow in the future. However, in order for the VR game market to become active, various problems raised during game development and service must be resolved. This paper investigates solutions to problems raised during the development and service of VR games, such as cyber sickness, risk of injury due to environmental restrictions during play, and reconnection induction problems. Cybersickness can be alleviated by utilizing multiple GPUs for each display processing to achieve higher frame rates and optimizing play space design. Environmental constraints during play can be mitigated by optimizing space design, and the problem of inducing reconnection can be solved by continuously providing the motivation and purpose used in existing game methods. Through this, we were able to apply it to develop VR content that can be played continuously.

Monitoring on Alcohol Fermentations Properties for Aronia Juice for Aronia(Aronia melanocarpa) Vinegar

  • Sun-Sun Hur
    • 한국응용과학기술학회지
    • /
    • 제40권4호
    • /
    • pp.699-709
    • /
    • 2023
  • This study is to establish optimizing condition of alcohol fermentation in vinegar production with aronia, to confirm whether this can be industrially used, and to compare and analyze a change in anti-oxidative activity and quality characteristic according to alcohol fermentation of aronia. The optimized conditions for alcohol fermentation were as follows: Saccharomyces cerevisiae 5645 of yeast strain, a 5% inoculum size, aronia juice with a brix value of 14, and a glucose content of 7%. As a result to conduct scale up with optimizing conditions of alcohol fermentation of aronia, 8 days (192 hrs) of total alcohol fermentation time and 7.4% of the final alcohol content. The harvest volume accounted for approximately 90.2% with a loss of about 2.8%. As a result of antioxidant test, anti-oxidative activity of alcohol fermented liquor is lower than anti-oxidative activity of aronia extract, because of the decrease of antioxidant by oxidation of the fermentation process. However, the decrease of tannin by the fermentation process reduces acerbity of aronia, so increases overall preference

Multi-material polygonal topology optimization for functionally graded isotropic and incompressible linear elastic structures

  • Thanh T. Banh;Joowon Kang;Soomi Shin;Dongkyu Lee
    • Steel and Composite Structures
    • /
    • 제51권3호
    • /
    • pp.261-270
    • /
    • 2024
  • This paper proposes an effective method for optimizing the structure of functionally graded isotropic and incompressible linear elastic materials. The main emphasis is on utilizing a specialized polytopal composite finite element (PCE) technique capable of handling a broad range of materials, addressing common volumetric locking issues found in nearly incompressible substances. Additionally, it employs a continuum model for bi-directional functionally graded (BFG) material properties, amalgamating these aspects into a unified property function. This study thus provides an innovative approach that tackles diverse material challenges, accommodating various elemental shapes like triangles, quadrilaterals, and polygons across compressible and nearly incompressible material properties. The paper thoroughly details the mathematical formulations for optimizing the topology of BFG structures with various materials. Finally, it showcases the effectiveness and efficiency of the proposed method through numerous numerical examples.