• Title/Summary/Keyword: map models

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Development of Tunnel Construction Cost Model Using System Dynamics (시스템 다이내믹스를 이용한 터널공사비 모델 개발)

  • Park, Yong-Woo;Park, Hee-Sung
    • The Journal of the Korea Contents Association
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    • v.12 no.4
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    • pp.468-475
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    • 2012
  • Construction cost of tunnel is decided on construction area, site conditions, and construction methods. However, there is few research on developing models to estimate early construction costs. Therefore, this paper presents a model for early estimation tool for NATM tunnel using system thinking. The effect factors for tunnel construction cost were defined and the causal map is developed. Then empirical case analysis were performed to identify the cost difference due to tunnel length, excavation volume, and rock quality. The proposed model would be an alternative to estimate early construction cost of NATM tunnel.

Development of Patients Environmental Sustainability Performance in Healthcare Sector: A Conceptual Framework and Further Research Directions

  • KIM, Eunsung
    • Journal of Distribution Science
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    • v.17 no.7
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    • pp.99-109
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    • 2019
  • Purpose - The purpose of this development the business model of the healthcare sector in order to promote patents satisfaction towards medical sector services improvement for the medical business model innovation to possess a competitive advantage in the medical and pharmaceutical industry. Research design, data, and methodology - Safety standard protocol from existing multidisciplinary literature is a process of theorization, which uses grounded theory methodology rather than a description of the data and the targeted phenomenon by using Jabareen (2009). The first task is to map the spectrum of food safety literature regarding the phenomenon in safety management. This process includes developing the implementation factors and other sources such as existing business models and practices into the protocol design. Results - The study suggests the conceptual framework to improve the safety management for patients' environmental sustainability performance. Conclusion - The business model may support the beneficial aspect to healthcare government's policymakers, hospital employees, and medical specialist who can apply the practical perspective of its value regarding an educational protocol. Originality/value - This study contributes to and extends our understanding of environmental sustainability performance, identifying the rationale for safety standards performance in the healthcare industry with suggested hybrid safety standards market consumer interconnector.

Collision-free Path Planning Using Genetic Algorithm (유전자 알고리즘을 이용한 충돌회피 경로계획)

  • Lee, Dong-Hwan;Zhao, Ran;Lee, Hong-Kyu
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.646-655
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    • 2009
  • This paper presents a new search strategy based on models of evolution in order to solve the problem of collision-free robotic path planning. We designed the robot path planning method with genetic algorithm which has become a well-known technique for optimization, intelligent search. Considering the path points as genes in a chromosome will provide a number of possible solutions on a given map. In this case, path distances that each chromosome creates can be regarded as a fitness measure for the corresponding chromosome. The effectiveness of the proposed genetic algorithm in the path planning was demonstrated by simulation. The proposed search strategy is able to use multiple and static obstacles.

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Methodology for Developing a Ubiquitous Business Model: Incorporating Co-Creation Experiences (유비쿼터스 컴퓨팅 환경에서의 비즈니스 모델 개발 방법론: 가치의 공동 창출 경험을 중심으로)

  • Kim, Kyung-Kyu;Park, Sung-Kook
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.326-338
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    • 2009
  • In this paper, we argue that characteristics of ubiquitous business are different from those of e-business or m-business. We have developed a u-business model development framework incorporating the concept of value co-creation experiences, which is a core of the ubiquitous business paradigm. The framework of u-business model development presented in this paper consists of eight steps such as defining of domain, discovery of opportunity nucleus, defining of potential co-creation experience environment, deriving candidates of u-business services, selecting u-business killer services, defining value propositions of u-business killer services, defining u-business killer service offerings, and drawing a resource map of u-business killer services. The proposed u-business model development framework offers useful guidelines for practitioners to develop successful u-business models under a ubiquitous business paradigm.

Super Resolution Image Reconstruction using the Maximum A-Posteriori Method

  • Kwon Hyuk-Jong;Kim Byung-Guk
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.115-118
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    • 2004
  • Images with high resolution are desired and often required in many visual applications. When resolution can not be improved by replacing sensors, either because of cost or hardware physical limits, super resolution image reconstruction method is what can be resorted to. Super resolution image reconstruction method refers to image processing algorithms that produce high quality and high resolution images from a set of low quality and low resolution images. The method is proved to be useful in many practical cases where multiple frames of the same scene can be obtained, including satellite imaging, video surveillance, video enhancement and restoration, digital mosaicking, and medical imaging. The method can be either the frequency domain approach or the spatial domain approach. Much of the earlier works concentrated on the frequency domain formulation, but as more general degradation models were considered, later researches had been almost exclusively on spatial domain formulations. The method in spatial domains has three stages: i) motion estimate or image registration, ii) interpolation onto high resolution grid and iii) deblurring process. The super resolution grid construction in the second stage was discussed in this paper. We applied the Maximum A­Posteriori(MAP) reconstruction method that is one of the major methods in the super resolution grid construction. Based on this method, we reconstructed high resolution images from a set of low resolution images and compared the results with those from other known interpolation methods.

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RPC MODEL FOR ORTHORECTIFYING VHRS IMAGE

  • Ke, Luong Chinh
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.631-634
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    • 2006
  • Three main important sources for establishing GIS are the orthomap in scale 1:5 000 with Ground Sampling Distance of 0,5m; DEM/DTM data with height error of ${\pm}$1,0m and topographic map in scale 1: 10 000. The new era with Very High Resolution Satellite (VHRS) images as IKONOS, QuickBird, EROS, OrbView and other ones having Ground Sampling Distance (GSD) even lower than 1m has been in potential for producing orthomap in large scale 1:5 000, to update existing maps, to compile general-purpose or thematic maps and for GIS. The accuracy of orthomap generated from VHRS image affects strongly on GIS reliability. Nevertheless, orthomap accuracy taken from VHRS image is at first dependent on chosen sensor geometrical models. This paper presents, at fist, theoretical basic of the Rational Polynomial Coefficient (RPC) model installed in the commercial ImageStation Systems, realized for orthorectifying VHRS images. The RPC model of VHRS image is a replacement camera mode that represents the indirect relation between terrain and its image acquired on the flight orbit. At the end of this paper the practical accuracies of IKONOS and QuickBird image orthorectified by RPC model on Canadian PCI Geomatica System have been presented. They are important indication for practical application of producing digital orthomaps.

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Modular neural network in prediction of protein function (단위 신경망을 이용한 단백질 기능 예측)

  • Hwang Doo-Sung
    • The KIPS Transactions:PartB
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    • v.13B no.1 s.104
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    • pp.1-6
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    • 2006
  • The prediction of protein function basically make use of a protein-protein interaction map based on the concept of guilt-by-association. The method however cannot determine the functions of proteins in case that the target protein does not interact with proteins with known functions directly. This paper studies protein function prediction considering the given problem as a K-class classification problem and proposes a predictive approach utilizing a modular neural network. The proposed method uses interaction data and protein related attributes as well. The experimental results demonstrate that the proposed approach can predict the functional roles of Yeast proteins whose interaction knowledge is not known and shows better performance than the graph-based models that use protein interaction data.

Two-Phase Flow Regimes for Counter-Current Air-Water Flows in Narrow Rectangular Channels

  • Kim, Byong-Joo;Sohn, Byung-Hu;Siyoung Jeong
    • Journal of Mechanical Science and Technology
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    • v.15 no.7
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    • pp.941-950
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    • 2001
  • A study of counter-current two-phase flow in narrow rectangular channels has been performed. Two-phase flow regimes were experimentally investigated in a 760mm long and 100mm wide test section with 2.0 and 5.0mm gap widths. The resulting flow regime maps were compared with the existing transition criteria. The experimental data and the transition criteria of the models showed relatively good agreement. However, the discrepancies between the experimental data and the model predictions of the flow regime transition become pronounced as the gap width increased. As the gap width increased the transition gas superficial velocities increased. The critical void fraction for the bubbly-to-slug transition was observed to be about 0.25. The two-phase distribution parameter for the slug flow was larger for the narrower channel. The uncertainties in the distribution parameter could lead to a disagreement in slug-to-churn transition between the experimental findings and the transition criteria. For the transition from churn to annular flow the effect of liquid superficial velocity was found to be insignificant.

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Hologram Based QSAR Analysis of Caspase-3 Inhibitors

  • Sathya., B
    • Journal of Integrative Natural Science
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    • v.11 no.2
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    • pp.93-100
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    • 2018
  • Caspases, a family of cysteinyl aspartate-specific proteases plays a central role in the regulation and the execution of apoptotic cell death. Caspase-3 has been proven to be an effective target for reducing the amount of cellular and tissue damage because the activation of caspases-3 stimulates a signalling pathway that ultimately leads to the death of the cell. In this study, Hologram based Quantitative Structure Activity Relationship (HQSAR) models was generated on a series of Caspase-3 inhibitors named 3, 4-dihydropyrimidoindolones derivatives. The best HQSAR model was obtained using atoms, bonds, and hydrogen atoms (A/B/H) as fragment distinction parameter using hologram length 61 and 3 components with fragment size of minimum 5 and maximum 8. Significant cross-validated correlation coefficient ($q^2=0.684$) and non cross-validated correlation coefficients ($r^2=0.754$) were obtained. The model was then used to evaluate the eight external test compounds and its $r^2_{pred}$ was found to be 0.559. Contribution map show that presence of pyrrolidine sulfonamide ring and its bulkier substituent's makes big contributions for improving the biological activities of the compounds.

Field Strength Prediction Program Using Terrain and Land Usage Data for Cheju (제주의 지형 및 토지이용 데이터를 이용한 전계강도 예측 프로그램)

  • 홍성욱;김흥수
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.9 no.6
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    • pp.824-832
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    • 1998
  • The significant additional path loss is caused by scattering, diffraction, and attenuation of propagation. Most of the wave propagation models for rural areas mainly have considered the influence of topography but ignored the effects due to land usage. The goal of this paper is development of the field strength prediction program for Cheju which is used the contour map and the effects due to land usage. In oder to classify the propagation path and divide the environment of land, data of the terrain and the land-cover are formed into a pixel. Two-ray model is transformed into equivalent model by the predicted reflection coefficient and the slope of terrain. For non line of sight, the additional loss is determined by quantitative analysis. The result show good accord and the wave propagation model program can be applied to predicted the service region in rural area of Cheju.

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