• Title/Summary/Keyword: cost minimization

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Development of Life Cycle Cost Model & System of the Road Tunnel (지하도로시설물의 LCC예측 모델 및 시스템 개발)

  • 조효남;선종완;김충완;민대홍
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.10a
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    • pp.157-162
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    • 2004
  • Recently, Life Cycle Cost (LCC) for civil infrastructures, such as pavements, bridges, and dams, has been emphasized. However there are few cost models for road tunnel especially for maintenance phase. The road network is composed of highways, bridges, and road tunnels. Thus it is as important as for road tunnels to keep safe for traffic. The maintenance strategies for road tunnels can be achieved based on the minimization of LCC in maintenance phase. For this purpose, in this paper, cost model and cost classification for road tunnel in maintenance phase are suggested.

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Meta Model-Based Desgin Optimization of Double-Deck Train Carbody (2 층열차 차체의 meta model 기반 최적설계)

  • Hwang W.J.;Jung J.J.;Lee T.H.;Kim H.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.387-392
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    • 2005
  • Double-deck train have studied in the next generation train in KRRI. Double-deck train have more seat capacities compared with single deck vehicles and is a efficient, reliable and comfortable alternative train. Because of heavy weight, weight minimization of double-deck train carbody is imperative to reduce cost and extend life-time of train. Weight minimization problem of the double-deck train car-body is required to decide 66 design variables of thicknesses for large aluminum extruded panel while satisfying stress constraints. Design variables are too many and one execution of structural analysis of double-deck train carbody is time-consuming. Therefore, we adopt approximation technique to save computational cost of optimization process. Metamodels such as response surface model (RSM) and kriging model are used to approximate model-based optimization is described. RSM is easy to obtain and expressed explicit function, but this is not suitable for highly nonlinear and large scaled problems. Kriging model employs an interpolation scheme and is developed in the fields of spatial statistics and geostatistics. Target of this design is to find optimum thickness of AEP to minimize weight of doulbe-deck train carbody. In this study, meta model techniques are introduced to carry out weight minimization of a double-deck train car-body.

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A Solution Procedure for Designing Automated Storage/Retrieval Systems (자동창고 설계를 위한 최적화 모델 및 해법에 관한 연구)

  • 나윤균
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.34
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    • pp.9-14
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    • 1995
  • A cost minimization model for designing AS/RS (Automated Storage/Retrieval Systtems) has been developed under the S/R (Storage/Retrieval) machine throughput rate and total storage capacity requirements. The objective function includes S/R machine cost storage rack cost, and interface conveyor cost. Since the model is a nonlinear integer programming problem which is very hard to solve with large problem size, the model is simplified using previous research results to be solved exactly and a simultion procedure is combined to verify that throughput rate requirements are satisfied.

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Quadrilateral mesh fitting that preserves sharp features based on multi-normals for Laplacian energy

  • Imai, Yusuke;Hiraoka, Hiroyuki;Kawaharada, Hiroshi
    • Journal of Computational Design and Engineering
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    • v.1 no.2
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    • pp.88-95
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    • 2014
  • Because the cost of performance testing using actual products is expensive, manufacturers use lower-cost computer-aided design simulations for this function. In this paper, we propose using hexahedral meshes, which are more accurate than tetrahedral meshes, for finite element analysis. We propose automatic hexahedral mesh generation with sharp features to precisely represent the corresponding features of a target shape. Our hexahedral mesh is generated using a voxel-based algorithm. In our previous works, we fit the surface of the voxels to the target surface using Laplacian energy minimization. We used normal vectors in the fitting to preserve sharp features. However, this method could not represent concave sharp features precisely. In this proposal, we improve our previous Laplacian energy minimization by adding a term that depends on multi-normal vectors instead of using normal vectors. Furthermore, we accentuate a convex/concave surface subset to represent concave sharp features.

Performance Comparison of Logistic Regression Algorithms on RHadoop

  • Jung, Byung Ho;Lim, Dong Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.4
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    • pp.9-16
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    • 2017
  • Machine learning has found widespread implementations and applications in many different domains in our life. Logistic regression is a type of classification in machine leaning, and is used widely in many fields, including medicine, economics, marketing and social sciences. In this paper, we present the MapReduce implementation of three existing algorithms, this is, Gradient Descent algorithm, Cost Minimization algorithm and Newton-Raphson algorithm, for logistic regression on RHadoop that integrates R and Hadoop environment applicable to large scale data. We compare the performance of these algorithms for estimation of logistic regression coefficients with real and simulated data sets. We also compare the performance of our RHadoop and RHIPE platforms. The performance experiments showed that our Newton-Raphson algorithm when compared to Gradient Descent and Cost Minimization algorithms appeared to be better to all data tested, also showed that our RHadoop was better than RHIPE in real data, and was opposite in simulated data.

Weight Minimization of a Double-Deck Train Carbody using Response Surface Method (반응표면 모델을 이용한 2층열차 차체의 경량화 설계)

  • Hwang Won-Ju;Kim Hyeong-Jin
    • Proceedings of the KSR Conference
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    • 2005.05a
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    • pp.453-458
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    • 2005
  • Weight minimization of double-deck train carbody is imperative to reduce cost and extend life-time of train. It is required to decide 36 thickness of aluminum extruded panels. However, the design variables are two many to tract. moreover, one execution of structural analysis of double-deck carbody is time-consuming. Therefore, we adopt approximation technique to save computational cost of optimization process. Response surface model is used to apporximate static response of double-deck carbody. To obtain plausible response surface model, orthogonal array is empolyed as design of experiment(DOE). Design improvement by approximate model-based optimization is described. Accuracy and efficiency of optimization by using response surface model are discussed.

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A Study on the Development of the Minimization Algorithm of Total Operating Cost in a Multi-stage Distribution System by the Partial Delivery Method (분납조달 방법을 통한 다단계 분배시스템의 총운전비용 최소화 알고리즘 개발에 관한 연구)

  • 최진영
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.43
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    • pp.139-144
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    • 1997
  • The objective of this study is to establish an actual optimization strategy for the traditional multi-stage distribution system which consists of factory warehouse, central distribution warehouse, and regional distribution warehouse under the basic assumption of distribution system. A minimization algorithm of total operating cost in a multi-stage distribution system was developed by expanding the previously existing algorithm through consideration of additional transportation environment. Alternative non-linear transportation costs for the same travel distance can be applied for the multi-stage distribution system by estimating the corresponding characteristic values through the collection of the actual data representing the change of transportation circumstances.

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Integrated Optimum Design and Cost Effectiveness Evaluation of Viscoelastically Damped Building Structures based on Life-Cycle Cost Minimization (생애주기비용 최소화에 의한 점탄성감쇠기 장착 빌딩구조물의 통합최적설계 및 비용효율성 평가)

  • Park, Kwan-Soon;Hahm, Dae-Gi;Koh, Hyun-Moo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.9 no.2 s.42
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    • pp.17-27
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    • 2005
  • This paper presents an integrated optimum design and a cost effectiveness evaluation method of a viscoelastically damped structural system. The criterion selected for the optimization is the minimization of the life?cycle cost which is a function of structural sizing variables and the amount of the viscoelastic damper. A genetic algorithm is used as a numerical searching technique in order to simultaneously find the optimum parameters of the integrated system. Optimal distributions of design variables according to various seismic characteristics are investigated by applying the proposed design method to a numerical example of a 10?story building structure. The cost effectiveness of viscoelastically damped structural system is also evaluated by comparing the life-cycle cost of the structure without viscoelastic dampers. The results show that the viscoelastic damper is effective in a region of low to moderate seismicity.