• IE interfaces
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• v.22 no.4
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• pp.368-375
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• 2009

This paper considers a two-stage supply system consisting of two make-to-stock facilities. The facility in the first stage produces a single type of component in anticipation of future demands from the market and the end item production while the facility in the second stage produces the end item in anticipation of future demands from the OEM customers. The facility in the first stage has the option of to accept or reject each incoming demand from the market. In this paper, we address the problem of how to control the exogenous component demand and how to manage the production of the end item and the component so as to maximize the system's profit subject to the system costs. In this paper, we present a heuristic policy that is the base-stock production policy combined with a linear switching curve for component demand control. Numerical study is implemented under different operating conditions of the system and it shows that the performance of the heuristic is very promising compared to that of the optimal policy for the Markov model.

• Journal of Korea Game Society
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• v.2 no.2
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• pp.113-119
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• 2002

With development of internet technology, digital economy that advance rapidly formed much leagues of B2B, B2C, A2B etc, according to the application part. Also, electronic commerce system implementation technology is introduced by Component based on development method in object oriented technique base depending on customer's requirement, and development environment changes by 3- Tiers, Web-Based architecture etc. in existent C/S (Client/Server) environment and is introduced. Thus, In this research, I implemented seat reservation and confirmation system that can be used in electronic commerce in multi-server environment. This, for improve efficiency in distribute environment, relevant importance logic used server component model EJB, and implemented through JSP and Java that use Servlet of Resin Server environment for Main Server. Therefore, through independence component using EJB, I did so that can improved independence between electronic commerce system logic, and reduce server's overhead calling relevant method through discrete EJB server, and manage each logic resources efficiently.

• Land and Housing Review
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• v.14 no.4
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• pp.39-46
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• 2023

This study explores the interrelationship between 'KRX Construction' and 'Business Survey Index'. KRX Construction is a leading economic indicator of construction industry, implying the potential interdependence with BSI Construction. Previous papers have investigated the relationship between the released stock price index and BSI. Using Granger causality tests, this study investigates how the BSI Construction is associated with the trend and noise-trading components of KRX Construction, respectively. The decomposition of KRX Construction of trend and noise-trading is based on the state-space model. The results document unilateral Granger causalities from released KRX Construction, trend component, noise-trading component to BSI Construction. In sum, this study demonstrates that construction company CEOs view stock price index as a leading economic indicator.

• Journal of KIISE:Software and Applications
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• v.27 no.7
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• pp.742-758
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• 2000

Some local governments in Korea are currently developing various Urban Information Systems (UIS) to computerize their work. But they have spent too much money on their own UIS development because they have not reused the existing UIS of others. It has caused the central government to invest money repeatedly. The work of some local governments is generally very similar to those of others. The purpose of this paper is to suggest a solution to the reinvestment problem. To solve the problem, this paper suggests that they could model a city's business using Unified Modeling Language and Component-Based Development Process (CBD). They could also develop a UIS from the existing models, and then other municipalities can reuse the developed UIS. This paper illustrates the water supply business of P City in Korea and Rational Unified Process as a CBD. This paper also describes methods to apply CBD, to establish a reusable business model, analysis model, and design model, and to develop the software components of ActiveX Controls form for the water supply business.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1-10
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• 2020

This study investigates the problem of outlier detection based on discrete wavelet transform in the context of time series data where the identification and treatment of outliers constitute an important component. An outlier is defined as a data point that deviates so much from the rest of observations within a data sample. In this work we focus on the application of the traditional method suggested by Tukey (1977) for detecting outliers in the closed price series of the Saudi Arabia stock market (Tadawul) between Oct. 2011 and Dec. 2019. The method is applied to the details obtained from the MODWT (Maximal-Overlap Discrete Wavelet Transform) of the original series. The result show that the suggested methodology was successful in detecting all of the outliers in the series. The findings of this study suggest that we can model and forecast the volatility of returns from the reconstructed series without outliers using GARCH models. The estimated GARCH volatility model was compared to other asymmetric GARCH models using standard forecast error metrics. It is found that the performance of the standard GARCH model were as good as that of the gjrGARCH model over the out-of-sample forecasts for returns among other GARCH specifications.

• Korean Management Science Review
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• v.18 no.1
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.127-138
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• 2008

Configuration and data management system for weapon system research and development processes should assist concurrent engineering and collaboration activities for various documents, drawings, part informations and product structure informations. In this thesis we defined the system architecture using the CBD methodology and implemented the component based system development process. Most of the configuration and data management systems consist of three layered system architecture which use the general MVC models. In this thesis we defined four layered system architecture based on EJB structure under J2EE environments. Through the four layered system architecture, we break down the general model layer into two detailed business layers and the ordinary control layer into two system dependent layers. With these four layers, we proposed the methodology that detailed the characteristics of the components. Through the CBD approach and the component based development process, we can get the representation model and implement the actual system of the configuration and data management system for weapon system R&D.

• Proceedings of the CALSEC Conference
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• 1997.11a
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• pp.127-132
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• 1997

본 논문의 연구방향은 객체지향방법론을 이용하여 PDM에서의 워크플로우를 재설계하는 것이다. 기존의 방법론들은 워크플로우 엔진과 작업자 사이의 흐름에 중점을 두었으나 본 논문에서는 프로세스와 작업에 중점을 두고 이를 각각의 객체로 설계하는 방안을 연구하고자 한다. 시스템의 설계를 위하여 Rumbaugh의 OMT(Object Modeling Technique) 방법론을 기본모델링 방법론으로 사용한다. 연구내용은 object model을 통한 정적 구조 설계, dynamic model을 이용한 시간에 따른 동적 구조 설계, 그리고 functional model에서의 데이터의 전이 및 시스템간의 연계의 설계이다. 특히 object model에서의 작업설계 및 dynamic model에서의 상태변화에 중점을 두고 DCOM(Distributed Component Object Model)을 사용하여 작업(task)을 중심으로 한 분산환경을 구현한다.

• Journal of Distribution Science
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• v.20 no.2
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• pp.11-18
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• 2022

Purpose: The purpose of this paper is to investigate the influence of brand equity on customer purchase decision (CPD) of products for retailers distribution (RB) in Ho Chi Minh city, Vietnam. There are five elements in the brand equity model such as brand awareness, brand association, brand loyalty, perceived quality, and pricing policy. Research design, data and methodology: Qualitative methodology was used for exploring the research model and variables. The survey was conducted to collect data from 251 respondents who bought products at RB in Ho Chi Minh city, which is based on a Likert scale. The collected data were analyzed with the reliability of the scale, exploratory factor analysis, and research hypothesis testing by SPSS 22. Results: The results obtained revealed that brand awareness, brand association, perceived quality, and pricing policy have a significant impact on CPD for RB. Furthermore, the results showed that perceived quality is the most significant component in influencing CPD at retailers. Conclusions: From the research results, some management implications that RB should focus on are perceived quality, choice of pricing policies and strategies, brand building and development to attract more customers as well as enhance its image to improve customers' purchasing decisions of products at retail distributors chain.

• Korean Business Review
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• v.20 no.2
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• pp.15-27
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• 2007

This paper analyzed the relationship between Housing Purchase Price volatility of Seoul and Housing Purchase Price volatility of local large city. Other studies investigates the effect on the observed volatility Observed volatility consists of fundamental volatility and transitory volatility. Fundamental volatility is caused by information arrival and transitory volatility is caused by noise trading. Fundamental volatility is trend component and is modelled as a random walk with drift. Transitory volatility is cyclical component and is modelled as a stationary process. In contrast to other studies, this study investigates the effect on the fundamental volatility and transitory volatility individually. Observed volatility is estimated by GJR GARCH(1,1) model. We find that GJH GARCH model is superior to GARCH model and good news is more remarkable effect on volatility than bad news. This study decomposes the observed volatility into fundamental volatility and transitory volatility using Kalman filtering method. The findings in this paper is as follows. The correlation between Seoul housing price volatility and Busan housing price volatility is high. But, the correlation between Seoul and Daejeon is low. And the correlation between Daejeon and Busan is low. As a distinguishing feature, the correlation between fundamental volatilities is high in the case of all pairs. But, the correlation between transitory volatilities turns out low. The reason is as follows. When economic information arrives, Seoul, Daejeon, and Busan housing markets, all together, are affected by this information.