• Korean Journal of Air-Conditioning and Refrigeration Engineering
• /
• v.4 no.4
• /
• pp.289-298
• /
• 1992

Fouling is "a major unsolved" area in heat transfer research. Currently, fouling researches are performed in every directions-fundamental aspects, modeling and cumulating experimental data. In this study, an attempt was made to extend the knowledge in enhanced tube fouling. The Kern-Seaton fouling model which was originally proposed for smooth tube fouling was extended to repeated rib tubes. Key parameters-mass transfer coefficient and wall shear stress-were modeled for repeated rib tubes. Some critical points related with the enhanced tube fouling-uncertainties in the mass transfer rate, wall shear stress modeling, deformation of roughness shape during fouling-were discussed, and some quantitative evaluations were made.

• Journal of the Korea Computer Industry Society
• /
• v.7 no.1
• /
• pp.1-6
• /
• 2006

This paper has been designed extend object-orientid database model that introducted new class basing the Heurilistic Classfication model. In order to implement this model, we have introducted heurilistic class to Object-orinted multimedia program. And we compared copmparing group with treating group using Object-orinted multimedia program and study relationship of creation.

• CDE review
• /
• v.3 no.3
• /
• pp.36-45
• /
• 1997

This paper presents the research on the development of Generic modeling system as a 3D CAD customizing system for the elevator design. This system enables to create a generic model which gives birth to many models. The generic model is expressed as a non-scale model or a standard model in this paper. Using the parametric design techniques, all their relationships are explicitly represented in the tables, not represented in implicit embedded coding. Owing to this method, designers can easily extend the generic model to contain more model families. All parametric relations are stored in relational database. A designer can retrieve various models from a generic model automatically, by using some key input values.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.35 no.7A
• /
• pp.697-705
• /
• 2010

In Wireless Sensor Networks (WSNs), blanket (area) coverage analysis is generally carried to find the minimum number of active sensor nodes required to cover a monitoring interest area with the desired fractional coverage-threshold. Normally, the coverage analysis is performed using the stochastic geometry as a tool. The major component of such coverage analysis is the assumed sensing model. Hence, the accuracy of such analysis depends on the underlying assumption of the sensing model: how well the assumed sensing model characterizes the real sensing phenomenon. In this paper, we review the coverage analysis for different deterministic and probabilistic sensing models like Boolean and Shadow-fading model; and extend the analysis for Exponential and hybrid Boolean-Exponential model. From the analytical performance comparison, we demonstrate the redundancy (in terms of number of sensors) that could be resulted due to the coverage analysis based on the detection capability mal-characterizing sensing models.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.5
• /
• pp.3407-3411
• /
• 2015

In the process of extending the UML model for a various domain, comply with the UML metamodel and it is possible to obtain a number of advantages. However, the UML metamodel is necessary to redefine the diagram must be defined via the Profile in order to expand and transformation the UML metamodel from a variety of sources using the UML metamodel is becoming increase massive scale. it is necessary to use only those extracts the element relative to the target to be used to extend a UML metamodel. Used to re-define the extension of the UML Metamodel and Profile based UML modeling tools and metadata repositories by analysis tools, can develop more quickly and easily, by utilizing these tools can improve the quality of development in the SW industry. In this paper, we present an algorithm that of the profile through the expansion of the UML metamodel and shows the results in actually applying e-government standards framework.

• Spatial Information Research
• /
• v.21 no.2
• /
• pp.11-21
• /
• 2013

W ith the recent increasing build and application for 3D spatial information, the importance of management and application for spatial information based on indoor space has been increased. Especially, Due to the increasing of the scale and complexity of the building according to the development of construction technologies several studies have been conducted to provide the services based on indoor space such as indoor navigation for disaster. Therefore, to efficient manage and service for information of complicated indoor space, it is necessary to extend and develop 3D spatial model and services that have been developed for outdoor space. In this paper, Indoor Spatial Data Model(ISDM) is developed to support building spatial information for complicated indoor space and location based services through topological information. ISDM contains a feature model which is a CityGML Application Domain Extension(ADE) model and a topology model that refers the IndoorGML.

• Journal of Intelligence and Information Systems
• /
• v.16 no.2
• /
• pp.95-108
• /
• 2010

In this paper, we present a hybrid neural network model for dynamic hand gesture recognition. The model consists of two modules, feature extraction module and pattern classification module. We first propose a modified CNN(convolutional Neural Network) a pattern recognition model for the feature extraction module. Then we introduce a weighted fuzzy min-max(WFMM) neural network for the pattern classification module. The data representation proposed in this research is a spatiotemporal template which is based on the motion information of the target object. To minimize the influence caused by the spatial and temporal variation of the feature points, we extend the receptive field of the CNN model to a three-dimensional structure. We discuss the learning capability of the WFMM neural networks in which the weight concept is added to represent the frequency factor in training pattern set. The model can overcome the performance degradation which may be caused by the hyperbox contraction process of conventional FMM neural networks. From the experimental results of human action recognition and dynamic hand gesture recognition for remote-control electric home appliances, the validity of the proposed models is discussed.

• Journal of the Korea Concrete Institute
• /
• v.16 no.3 s.81
• /
• pp.345-356
• /
• 2004

A plasticity model was developed to predict the behavioral characteristics of concrete in multiaxial compression. To extend the applicability of the proposed model to concrete in various stress states, a new approach for failure criteria was attempted. A stress was decomposed into one volumetric and two deviatoric components orthogonal to each other. Three failure criteria wire provided independently for each stress component. To satisfy the three failure criteria, the plasticity model using multiple failure criteria was Implemented. Each failure surface was defined by equivalent volumetric or deviatoric plastic strain. To present dilatancy due to compressive damage a non-associative flow nile was proposed. The proposed model was implemented to finite element analysis, and it was verified by comparisons with various existing test results. The comparisons show that the proposed model predicted well most of the experiments by using three independent failure criteria.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.281-284
• /
• 2008

Recently, Khronos institude OpenGL ES 2.0 API for support Shader 3.0 model that can possible variable graphic processing. For this reason, the mobile device have need of supporting processor for a shader 3.0 model. We should extend instruction's length to support OpenGL ES 2.0 API, so we need more memory size. In this paper, we propose a new instruction form that adopted variable length and unit instruction architecture. This proposed instruction architecture that support to Shader 3.0 model has consist of 32bit unit instructions up to 4 which can be combined for embellishing each other. Therefore, it can execute flexible instruction combination and reduce waste of instruction fields.

• The Journal of the Korea Contents Association
• /
• v.9 no.1
• /
• pp.53-60
• /
• 2009

In home network environments, the user authentication and authorization associated user's information and usability may be important security issue. The OSGi service platform, a well-known home network gateway already specifies the mechanism of that. The traditional authority method provided OSGi implements simple RBAC(Role Based Access Control) model. This is difficult to support efficient access control. In this paper, we propose the dynamic RBAC model based on OSGi. The proposed method describes the extended framework that manage two roles named as absolute role and relative role, extend existed framework with relative role and propose programming model to enable dynamic access control. Finally, we implement the proposed framework using AspectJ and Java annotation.