• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.531-533
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• 2000

J2EE 플랫폼의 핵심기술인 EJB는 서버 측 컴포넌트 표준 모델이다. 최근 들어 점차 이를 지원하는 도구의 중요성이 대두되고 있다. 본 논문에서는 EJB 환경의 컴포넌트인 엔터프라이즈 빈즈를 생성하는 생성기 모델을 제시한다. 특히 이 생성기는 개발자의 개입이 많은 빈 관리 지속성 엔티티 빈 개발 시 자동화할 수 있는 매크로 기능을 가진다. 제공하는 매크로 기능은 크게 두 가지 부류로 구분할 수 있는데 데이터를 조작하는 부분과 엔터프라이즈 빈즈 환경을 조작하는 부분이 있다. 먼저 데이터를 조작하는 부분의 매크로 기능으로는 SQL 질의 관련 매크로(데이터 삽입, 삭제, 선택, 갱신) 및 데이터베이스 필드 변수 설정 매크로가 있고, 환경을 조작하는 부분에는 엔터프라이즈 빈즈 환경 접근 매크로, 홈 객체 획득 매크로, JDBC 연결 매크로 등이 있다. 사용자 측면을 고려한 이러한 기능들을 통해 개발 시간 단축, 노력, 경감, 오류 방지 등의 효과를 얻을 수 있다.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.1
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• pp.59-77
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• 2003

This study is to validate the use of macro language for the land suitability analysis aiming to help to resolve land use conflicts. The silver-town suitability analysis is conducted on the Geejang Gun, Busan Metropolitan city. Such digital maps as terrain, road, facility, and water body were created for various cartographic models. A cartographic model identified the best suitable areas for silver-town development based on the such site selection variables as a distance to facility and road, slope and aspect of terrain, land use etc. Then, the other cartographic model identified the most favorable site among the candidate sites based on the comparison of the aspect of proximity, usage and environmental quality. Macro language was used for these modeling process and was used for the manipulation of all these spatial variables used in the models to resolve land use conflicts relating to the decision making process of the final site selection. This study will improve the effectiveness and rationality of the traditional site suitability analysis.

• Journal of the Korea Computer Industry Society
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• v.10 no.5
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• pp.213-220
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• 2009

Regression analysis to estimate the fitted models and test hypotheses are basic statistical tools for survey data as well as experimental data. Data is collected as pairs of independent and dependent variables, and statistics are computed using matrix calculation. To estimate a best fitted model is a key to maximize reliability of regression analysis. To fit a regression model, plot data on XY axis and select the most fitted models. Researchers estimate the best model and test hypothesis with MS Excel's graph menu and matrix computation functions. In this study, I develop macros to estimate the fitted regression model and test hypotheses of relationship between variables. Subway electric charges data with one dependent variable and three independent variables are tested using developed macros, and compared with the results using built-in Excel of regression analysis.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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• pp.11-15
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• 2003

비디오 부호화기에서는 채널의 용량과 같은 주어진 제약 조건을 만족하면서 좋은 화질을 얻기 위해 비디오 부호화 시 적절한 양자화 변수를 결정해야 한다. 본 논문에서는 H.264 비디오 부호화 표준에서 높은 압축 효율을 철기 위해 비트 율 왜곡 모델에 기반 한 새로운 비트 율 제어 알고리즘을 제안한다. 특히. 부호화된 매크로블록의 특성과 이전에 부호화 된 매크로 발생 비트수를 고려하여. 제안한 비트 율 모델을 통해 양자화 변수 값을 결정한다. 본 논문에서 제안한 알고리즘은 목표 비트수에 가깝고. 기존치 방법보다 개선된 화질을 제공한다.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1997.10a
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• pp.31-36
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• 1997

Thermal expansion of the ball screw in semi-closed loop type CNC Lathe directly affects the position precision along the travel axis. In this paper, the thermal displacement of the ball screw is estimated by using macro variables. The estimated displacements of the ball screw are managed by calculating the interval of pitch error rate in the NC. The thermal behaviour of the ball screw of the CNC Lathe, under the constant operating conditions, was measured to examine the effectiveness of this compensation method. The results showed that thermal displacement of the ball screw could be maintained its accuracy better than 6${\mu}{\textrm}{m}$ while applying this method.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.593-601
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• 2013

We often need to include categorial variables as explanatory variables in regression models. The categorial variables in regression models can be quantified through dummy variables. In this study, we provide an education tool using Excel VBA for displaying regression lines along with test results for regression models with a continuous explanatory variable and one or two categorical explanatory variables. The regression lines with test results are provided step by step for the model(s) with interaction(s), the model(s) without interaction(s) but with dummy variables, and the model without dummy variable(s). With this tool, we can easily understand the meaning of dummy variables and interaction effect through graphics and further decide which model is more suited to the data on hand.

• Journal of the Korea Concrete Institute
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• v.18 no.5 s.95
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• pp.639-648
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• 2006

A shear experiment of one-way monotonic loading was carried out with the shear span ratio as the main experimental variable for reinforced concrete beam. Using the finite element analysis as the experimental analysis tool and the analysis method to compute the shear resistance of small shear span ratio, a new macro-model composed of crooked main strut and sub strut is proposed in consideration of the effect of bond action between re-bar and concrete based on the experimental result. The experimental finding affirmed the validity of the proposed macro-model when the shear span ratio was at or below 0.75 and confirmed that the experimental result was the most consistent with the computed analysis result when the effective factor of concrete compressive strength was set at 0.75.

• Journal of KIISE:Software and Applications
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• v.36 no.3
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• pp.244-251
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• 2009

We present a transformation which converts open-code multi-staged programs into closed ones. Staged computation, which explicitly divides a computation into separate stages, is a unifying framework for existing program generation systems. Because a multi-staged program generates another program, which can also generate a third program and on, the implementation of a multi-staged language is not straightforward. Dynamic binding of (lexically free) variables in code also makes the implementation of a multi-staged language hard. By converting each code into code of function which takes environment for free variables as its argument and giving an actual environment at the code-composition site, we can transform a open-code program into a closed-code one. Combining with Davies and Pfenning's method, our closed-code-conversion enables the implementation of the unstaged language to be useful for executing multi-staged programs. We also prove the correctness of our conversion: the converted program is equivalent to the original program, and the converted program does not have open code.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.403-410
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• 2014

Binary logistic regression analysis is a statistical technique that explains binary response variable by quantitative or qualitative explanatory variables. In the binary logistic regression model, the probability that the response variable equals, say 1, one of the binary values is to be explained as a transformation of linear combination of explanatory variables. This is one of big barriers that non-statisticians have to overcome in order to understand the model. In this study, an educational tool is developed that explains the need of the binary logistic regression analysis using Excel VBA. More precisely, this tool explains the problems related to modeling the probability of the response variable equal to 1 as a linear combination of explanatory variables and then shows how these problems can be solved through some transformations of the linear combination.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.3
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• pp.88-96
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• 2007

H.264 is a new international video coding standard that can achieve considerably higher coding efficiency than conventional standards. Its coding gain has been achieved by employing advanced video coding methods. Specially, the increased number of macroblock modes and the complex mode decision procedure using the Lagrangian optimization are the main factors for increasing coding efficiency. Although H.264 obtains improved coding efficiency, it is difficult to do an real-time encoding because it considers all coding parameters in the mode decision procedure. In this paper, we propose a fast mode decision algorithm which classifies the macroblock modes in order to determine the optimal mode having low complexity quickly. Simulation results show that the proposed algorithm can reduce the encoding time by 34.95% on average without significant PSNR degradation or bit-rate increment. In addition, in order to show the validity of simulation results, we set up a low boundary condition for coding efficiency and complexity and show that the proposed algorithm satisfies the low boundary condition.