• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• 한국정보시스템학회지:정보시스템연구
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• 제6권2호
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• pp.147-163
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• 1997

The usages of the relational database systems have been increased nowadays. However there is a constraint that the standard query language for a database system requests users to know the exact condition for a query. In this paper a FSQL(Fuzzy SQL) systems is proposed and implemented for the imprecise queries which do not include the exact condition. Moreover this system can supply the obvious results for the queries effectively. We define a simple fuzzy query language and use a method using the metadatabase to implement the FSQL system. This FSQL system can be combined with a relational database system without any painful effort.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권12호
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• pp.1172-1184
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• 2003

현재 EJB(Enterprise Java Beans), COM+(Component Object Model+)등의 서로 다른 컴포넌트 참조 모델(Component reference model)을 기반으로 한, 상이한 컴포넌트 시스템 간 통합(Integration)에 대한 새로운 기술들이 제기되고 있다. 동일한 컴포넌트 플랫폼에서 컴포넌트 간 운용은 소스레벨의 결합(Composition)을 통해 이루어진다. 그러나 상이한 컴포넌트 플랫폼의 경우, 유사 도메인 컴포넌트임에도 불구하고 컴포넌트 간 결합은 불가능한 실정이다. 본 논문에서는 상이한 컴포넌트 플랫폼 즉, EJB와 COM+ 컴포넌트 간의 결합 문제를 모델기반의 컴포넌트 변환 기법으로 해결 하였다. EJB, COM+ 컴포넌트 간 결합을 위해 각 참조모델을 비교, 분석하여 구현 독립적(Implementation Independent)인 가상 컴포넌트 모델(Virtual Component Model)과 상호 변환을 위한 구현 테이블(Implementation Table)을 제시하였다. 가상 컴포넌트 모델과 구현 테이블을 참조, 각 구현 모델을 가상 컴포넌트 모델로 일반화하거나 가상 컴포넌트 모델링을 통하여 플랫폼의 구현 독립적인 가상 컴포넌트 모델을 작성하고, 선택적으로 EJB와 COM+로 변환 가능하게 한다. 상이한 컴포넌트 플랫폼으로의 효율적인 모델변환 방법을 제시함으로서 EJB와 COM+ 컴포넌트간의 결합이 가능하다.

• 전기학회논문지
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• 제60권9호
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• pp.1788-1794
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• 2011

The mold transformer is a complex and critical component of DC substations in Metro system. In this paper, a cost effective and intelligent condition monitoring system for mold transformers in DC substations was developed. This paper also provides an overview of the management program using PD (partial discharge) data on mold transformers. Prior to application of the proposed system to Metro DC substations, experiments were performed at the metro line substation located in Seoul and presented case studies for the use of the intelligent condition monitoring system for mold transformer in DC substations. The experiment results indicated that the developing system can be need in helping mange the risk of unexpected failure of mold type transformers.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 C
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• pp.1744-1746
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• 1996

Surface impedance boundary condition(SIBC) concepts are introduced into the finite-difference time-domain(FDTD) method. Lossy conductors are replaced by surface impedance boundary computations reducing the soluton space and producing significant computational savings. Specifically, a surface impedance boundary condition is developed to reduce a lossy dielectric half-space. Since Maxwell's eqations are solved directly, the reflected and transmitted pulse amplitude demonstrate how the reflection and transmision coefficient determine reflected wave amplitude. In this paper, two implementations of reflection coefficient are presented. One implementation is a standard FDTD technique and the other is a FDTD using surface impedence boundary condition(FDTD-SIBC) that are applicabIe over a very large frequency bandwidth. Particulary, an efficient way to transform the time domain results to frequency domain is presented. Thus, frequency domain results are presented in one dimension and are compared with exact results.

• Tribology and Lubricants
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• 제18권2호
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• pp.117-126
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• 2002

Abstract - An integrated condition monitoring algorithm based on an expert system was implemented in this work in order to monitor effectively the machine conditions. The knowledge base was consisted of numeric data which meant the posterior probability of each measurement parameter for the representative machine failures. Also the inference engine was constructed as a series of statistical process, where the probable machine fault was inferred by a mapping technology of pattern recognition. The proposed algorithm was, through the user interface, applied for an air compressor system where the temperature, vibration and wear properties were measured simultaneously. The result of the case study was found fairly satisfactory in the diagnosis of the machine condition since the predicted result was well correlated to the machine fault occurred.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 정기총회 및 창립40주년기념 학술대회 학회본부
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• pp.25-28
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• 1987

Design procedure of adaptive controller with variable load condition is present and applied to velocity control of small, permanent magnet DC servo motor. The state feedback control scheme is adopted and Recursive Least Squares algorithm is used for parameter estimation. In order to reduce the time consuming. In the procedure of adaptation-gain tuning of state feedback controller, approximate curve fitting technique is applied to the relations between load condition and poles of the system, load condition and feedback gains. With this method, fast adaptation can be accomplished. It is shown that this procedure can be applied not only to variable load condition but also to variation of other system constants, for example variation of resistance and inductance etc.. Simulation results is present for both cases - variable inertia load, variable motor resistance to verify performance improvements. This design procedure produces an adaptive con troller which is feasible for implementation with microprocessor by reducing calculation time.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.215-224
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• 2005

It is a fundamental requirement for the medium-sized manufacturing company with multiple-types of products and mixed process flows to have a real time feedback system for systematic production scheduling and process control to maximize the productivity and delivery achievement. However it is very inferior in actual condition to make infrastructure for a systematic production scheduling and process control in middle-sized manufacturing company, Proposed in this paper is an MES implementation approach for the successful construction of MES infrastructure, implementation and operation in medium-sized manufacturing companies with multiple-types of products and mixed process flows.

• 한국시스템다이내믹스연구
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• 제16권4호
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• pp.103-128
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• 2015

This study investigated dynamic causal relationship between CSR implementation and consumption of environmentally friendly fashion products through systems thinking. Based on literature review and empirical research, we drew causal loop diagram for CSR implementation in environmentally friendly fashion product industry. By analyzing feedback loops, we found that companies and consumers interact in the process of CSR activities. In the process of CSR implementation, companies and consumers are closely related and affect each other as stimuli and prior condition. This study suggests that companies adopt push strategy to actively create demand by developing and promoting environmentally friendly fashion products and that companies communicate with consumers in order to be recognized and rewarded by consumers for their CSR activities. In addition, this study suggests that consumers not only support companies of CSR activities but also actively boycott anti-environmental companies by collective action.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2012년도 추계학술대회 논문집
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• pp.107-108
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• 2012

This paper presents design and implementation of the LDC(1.8 kW DC-DC Converter for Electric Vehicles). For Implementation of the LDC, the adapted topology is ZVS(Zero Voltage Switching) PSFB(Phase Shift Full Bridge) with Digital Control is adopted. Also, for the purpose of stable operation of the LDC in vehicle with variable electrical load condition, Continuous Voltage and Current Limit Control scheme based on PI controller are developed. According to real-car test mode, the prototype of proposed the LDC is verified with performance and stability. Thus, optimizing design and implement of the LDC are discussed, and experimental results are presented.