• Journal of the Korea Society for Simulation
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• v.3 no.2
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• pp.1-13
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• 1994

Deep reasoning procedures are model-based, inferring single or multiple causes and/or timing relations from the knowledge of behavior of component models and their causal structure. The overall goal of this paper is to develop an automated deep reasoning methodology that exploits deep knowledge of structure and behavior of a system. We have proceeded by building a software environment that uses such knowledge to reason from advanced symbolic simulation techniques introduced by Chi and Zeigler. Such reasoning system has been implemented and tested on several examples in the domain of performance evaluation, and event-based control.

• Journal of Sericultural and Entomological Science
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• v.37 no.2
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• pp.154-160
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• 1995

Dyeing behavior of Silk/Cationic dyeable polyester(CDP) mixed filament was investigated by using a cationic dye. The effect of pH, temperature and additives such as carrier, levelling agent and salt were examined for each silk and CDP component of mixed filament in order to find out the optimum dyeing condition. Based on these results, the dyeing behavior was investigated for Silk/CDP mixed filaments concering various dyeing parameters. The dye adsorption was significantly changed on the dyeing temperature, carrier addition and pH of the dyebath. Specially, the dye migration phynomena were observed for a mixed filament, showing that the dyes initially observed on the surface of silk fiber migrate to the CDP component during a dyeing process. The dyeing of Silk/CDP mixed filaments accompanied by dye migration and as a result, dye adsorption can be developed only for a CDP component. Therefore, the control of dyeing temperature is most important for a Silk/CDP mixed filament, in order that both silk and CDP component are able to be dyed by a cationic dye simultaneously in one bath/one dye system.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.23-29
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• 2009

Blob detection is an essential ingredient process in some computer applications such as intelligent visual surveillance. However, previous blob detection algorithms are still computationally heavy so that supporting real-time multi-channel intelligent visual surveillance in a workstation or even one-channel real-time visual surveillance in a embedded system using them turns out prohibitively difficult. In this paper, we propose a fast and precise blob detection algorithm for visual surveillance. Blob detection in visual surveillance goes through several processing steps: foreground mask extraction, foreground mask correction, and connected component labeling. Foreground mask correction necessary for a precise detection is usually accomplished using morphological operations like opening and closing. Morphological operations are computationally expensive and moreover, they are difficult to run in parallel with connected component labeling routine since they need much different processing from what connected component labeling does. In this paper, we first develop a fast and precise foreground mask correction method utilizing on neighbor pixel checking which is also employed in connected component labeling so that the developed foreground mask correction method can be incorporated into connected component labeling routine. Through experiments, it is verified that our proposed blob detection algorithm based on the foreground mask correction method developed in this paper shows better processing speed and more precise blob detection.

• Journal of the Korea Society of Computer and Information
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• v.7 no.4
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• pp.40-45
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• 2002

There has been several meaning full efforts to save costs and expand the life-time of a system in changeful If circumstance. It was a module-based architecture that empower productivity at structured programming. It couldn't grow nor evolve, but could raise only calling frequency of module. But OOP or OO-method overcome limit of structured programing by class inheritance and/or overloading and/or over-riding. A component centric architecture, what is mixture of distributed systems, like CORBA. COM+ or EJB/J2EE with OOP. can support not only high reusability or expansion of life-time but also Plug-&-Play between component. In now day. It is not problem of component building but problem of interoperability between heterogeneous CBD Platform. At this study, the enhanced referential component architecture will be suggested.

• The KIPS Transactions:PartD
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• v.16D no.3
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• pp.381-394
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• 2009

As a technique to enhance reusability for the created artifacts in software modeling process, the model driven method such like MDA has been applied. Unfortunately, the hierarchical and systematic MDA based development technique using UML is poor yet. This causes the problem that the MDA modeling with high consistency and reusability based on MDA metamodel is not being realized. To solve this problem, this paper proposes a MDA (PIM/PSM) component modeling technique using 2+1 view integrated metamodel. At first, the meta-architecture view model which can represents development process view and MVC view is defined. Then, the hierarchical integrated metamodels per view are addressed separately for modeling process and MVC at metamodel level on the hierarchy of the defined meta-architecture view model. These metamodels are defined hierarchically by layering the modeling elements in PIM and PSM pattern for UML models and GUI models. Appling the proposed metamodel to an ISMS application system, it is shown as a component modeling case study based on MDA. Through this approach, we are able to perform a component model with consistency and hierarchy corresponding to development process and MVC way. Accordingly, this may improve more independence and reusability of model.

• The Journal of Korean Association of Computer Education
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• v.7 no.5
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• pp.33-43
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• 2004

Fashion design education essentially requires not only a theoretical but also a practical process in which feedback comes through personal interactions between an instructor and a student. But the existing WBI system exemplifies its limitations by applying only a one-way Distance Education methodology that limit interactions based only on the theoretical texts. This study affirms that distance learning system is possible for the applied component of the fashion design curriculum as long as the specific needs of the particular program is taken into consideration and systematically applied. So it designed and applied an original web-based distance educational system specifically incorporating the needs of the fashion design curriculum Thus the results show that the enhanced distance education system is a tool that could be effectively utilized with the same degree of success as the traditional classroom as long as the traditional teaching component of direct interaction necessary to the fashion design program is incorporated.

• Korean Journal of Computational Design and Engineering
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• v.18 no.3
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• pp.211-223
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• 2013

Today's ever-increasingly competitive shipbuilding market makes it essential for a shipbuilding company to have more efficient production processes and higher productivity as well as better design ability to obtain its competitiveness. A well-established production execution schedule plays an indispensable role to achieve this goal. Most shipbuilding companies carry out an evaluation on their mid-term plan once it is established. However, no evaluation activity exists for a production execution schedule, because practically all the companies depend on the field workers for the production execution scheduling. In this study, a prototype of a ship production execution schedule evaluation system is developed based on the component based design (CBD) methodology. This system enables one to make a production execution schedule that reflects up-to-date shipyard situation and to validate whether the schedule is feasible or not by running a production simulation according to the schedule. Users can also make use of the system as a decision supporting tool that compares several different execution schedules and evaluates which one is the best execution schedule.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1603-1623
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• 2020

Multiple Mobile Robots System (MMRS) has shown many attractive features in lots of real-world applications that motivate their rapid and wide diffusion. In MMRS, the Cooperative Localization (CL) is the basis and premise of its high-performance task. However, the statistical characteristics of the system noise should be already known in traditional CL algorithms, which is difficult to satisfy in actual MMRS because of the numerous of disturbances form the complex external environment. So the CL accuracy will be reduced. To solve this problem, an improved Adaptive Active Cooperative Localization (A²CL) algorithm based on information optimization strategy for MMRS is proposed in this manuscript. In this manuscript, an adaptive information fusion algorithm based on the variance component estimation under Extended Kalman filter (VCEKF) method for MMRS is introduced firstly to enhance the robustness and accuracy of information fusion by estimating the covariance matrix of the system noise or observation noise in real time. Besides, to decrease the effect of observation uncertainty on CL accuracy further, an observation optimization strategy based on information theory, the Model Predictive Control (MPC) strategy, is used here to maximize the information amount from observations. And semi-physical simulation experiments were carried out to verity the A²CL algorithm's performance finally. Results proved that the presented A²CL algorithm based on information optimization strategy for MMRS cannot only enhance the CL accuracy effectively but also have good robustness.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.1
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• pp.1-5
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• 2000

This paper presents a new algorithm to restore the de-energized loads in electric power distribution systems for restoration by utilizing object-based structure and heuristic rules without branch and feeder overloading. In order to cope with a complex network configuration and frequent breaker switching operations in distribution systems, the component of power system is described as objects and the information of system configuration is constructed by connecting objects each other. Such a strategy is developed mainly based on the object search algorithm to increase computation efficiency. As a result, the proposed system has been implemented to efficiently deal with large distribution systems by reducing computational burden remarkably compared with the conventional methods.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.7-15
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• 2014

The accuracy of global navigation satellite system(GNSS) positioning has been studied during the last decades. Early GPS software was developed as monolithic tool in which all functions packed in the same software. But, these GPS software have the problems of the high cost of constructing system. close system architecture and the reusability. And there is a lack of interoperability between them because most of them have their own unique data format according to their application fields. In this paper, we have introduced requirements for design and specifications based on business process for the GPS system. commonly used to extract components from the requirements of the GPS business-based development process is presented. These components extracted by the process can be used to assemble components only. In particular, applications for developers to add features specific case without affecting the other components that can be modify the component.