• The Journal of Information Systems
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• v.20 no.3
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• pp.25-40
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• 2011

Small and Medium sized hospitals are exposed to severe managerial environments recently. Around 8.0% of the hospitals are bankrupted every year. The adverse managerial environment does not only come from external factors such as patients' preference for larger hospitals, regulations on the medical charges; more serious problems come from the way the medium and small sized hospitals deal with those exogenous changes including lack of management skills, lack of change management skills, lack of managerial decision support systems, etc. This paper aims to support managers to make decisions regarding the exogenous changes. This paper can be interpreted as an attempt of a merge of the two techniques; BSC and system dynamics. Starting with a BSC system, the development of a system dynamics model can take advantages of the BSC information.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.90.5-90
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• 2002

In this research, we are trying to develop an automatic sorting system, which is mostly affected by frictional forces between a veneer and plank. So we will make a suitable dynamic model and mechanism to control the velocity feedback. We will suggest stick-slip motion model which can predict the stability behavior of this system. The control system has a feedback loop, in which the following operations are included. A kind of sensor can get the velocity of the mass to adhesive veneer. The output of result signal should be passed to a filter, then to a phase shifter, which applies an adjustable phase-shift, to a variable-gain amplifier. A shaker will be attached to the mass, which ex...

• Magazine of the Korean Society of Agricultural Engineers
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• v.36 no.2
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• pp.79-87
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• 1994

A real-time flood forecasting system(FLOFS) was developed for the real-time and predictive determination of flood discharges and stages, and to aid in flood management decisions in the Keum River Estuary Dam. The system consists of three subsystems : data subsystem, model subsystem, and user subsystem. The data subsystem controls and manages data transmitted from telemetering systems and simulated by models. The model subsystem combines various techniques for rainfall-runoff modeling, tidal-level forecasting modeling, one-dimensional unsteady flood routing, Kalman filtering, and autoregressivemovingaverage(ARMA) modeling. The user subsystem in a menu-driven and man-machine interface system.

• Annual Conference of KIPS
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• 2012.11a
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• pp.1531-1534
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• 2012

모델기반 아키텍처 MDA (Model Driven Architecture)는 소프트웨어 개발의 추상화 수준을 높이기 위한 최근의 개발 아키텍처이며 완벽한 이해성을 확보하기 위해서 구체적인 구현기술은 반드시 개발자에게 추상적으로 (encapsulation) 숨겨져야 한다. 즉, 개발자는 자동적으로 실행 가능한 시스템으로 변환하는 플랫폼에 구애 받지 않는 모델들 PIM(Platform Independent Model)만을 고려하게된다. 본 논문에서는 MDA 를 캠퍼스 안내 앱에 적용하여 개발함으로써 모바일 디바이스 및 OS 에 독립된 어플리케이션을 개발 방법론을 제시한다.

• Current Optics and Photonics
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• v.2 no.6
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• pp.508-513
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• 2018

We report the development of a theoretical model describing the strong field tunneling of electrons in an extremely small nanogap (having a width of a few nanometers) that is driven by terahertz-pulse irradiation, by modifying a conventional semiclassical model that is widely applied for near-infrared wavelengths. We demonstrate the effects of carrier-envelope phase difference and strength of the incident THz field on the tunneling current across the nanogap. Additionally, we show that the dc bias also contributes to the generation of tunneling current, but the nature of the contribution is completely different for different carrier-envelope phases.

• Journal of Ocean Engineering and Technology
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• v.36 no.3
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• pp.194-210
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• 2022

Recently, an analysis method using machine learning for solving problems in coastal and ocean engineering has been highlighted. Machine learning models are effective modeling tools for predicting specific parameters by learning complex relationships based on a specified dataset. In coastal and ocean engineering, various studies have been conducted to predict dependent variables such as wave parameters, tides, storm surges, design parameters, and shoreline fluctuations. Herein, we introduce and describe the application trend of machine learning models in coastal and ocean engineering. Based on the results of various studies, machine learning models are an effective alternative to approaches involving data requirements, time-consuming fluid dynamics, and numerical models. In addition, machine learning can be successfully applied for solving various problems in coastal and ocean engineering. However, to achieve accurate predictions, model development should be conducted in addition to data preprocessing and cost calculation. Furthermore, applicability to various systems and quantifiable evaluations of uncertainty should be considered.

• Journal of the Korean Society of Safety
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• v.18 no.1
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• pp.50-55
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• 2003

This paper presents an intelligent computer system, which can easily diagnose electrical fire causes, without the help of human experts of electrical fires diagnosis. For this system, a database is built with facts and rules driven from real electrical fires, and an intellectual database system which even a beginner can diagnose fire causes has been developed, named as an Electrical Fire Causes Diagnosis System : EFCDS. The database system has adopted, as an inference engine, a mixed reasoning approach which is constituted with the rule-based reasoning and the case-based reasoning. The system for a reasoning model was implemented using Delphi 3, one of program development tools, and Paradox is used as a database building tool. To verify effectiveness and performance of this newly developed diagnosis system, several simulated fire examples were tested and the causes of fire examples were detected effectively by this system. Additional researches will be needed to decide the minimal significant level of the solution and the weighting level of important factors.

• Journal of fish pathology
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• v.16 no.3
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• pp.147-152
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• 2003

The CMV promoter driven luciferase reporter gene coding plasmid (pcDNA-luc) was constructed and used as a model for DNA immunization study. Expression of the recombinant luciferase protein was confirmed in vitro in RTG-2 cell line before using in vivo study in olive flounder. In dose response study, the maximum expression of the luciferase gene was found in the group injected with 10-15μg of plasmid DNA. The kinetic study showed that the luciferase gene expression was reached at the maximum level at one day after injection and slightly decreased after then but significantly high level of expression was sustained until the conducted experiment of 7 days. In the study of tissue distribution of gene expression, it was found that luciferase gene was expressed at the significant level in immune organs such as gill and spleen, located far from the injected site, suggesting the systemic distribution of the intramuscularly injected DNA in olive flounder.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.2
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• pp.21-27
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• 1998

NC machining of large screw which is usually used as a part in an extruder for injection molding is done on 3-axis turning machine, and it is very time-consuming process. Not only in machining but in preparing part program for a NC machine, it requires very long time because the shape of the screw is not easy to model when using an existing general CAD/CAM software even though it is workstation level software. In addition, tool path generation procedure for NC turning for screw shape is also very tedious one because large amount of data for cutter location point must be produced and there is no specific CAM software for the machining. In this paper. development of a CAM system for screw machining which saves the role of CAD software by use of menu driven data input system for various screw shapes is introduced.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.187-189
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• 2007

In this paper, we present a model-driven approach for RTOS-based embedded software development and an automated tool that produces RTOS-specific code or RTOS-independent code. We define generic RTOS APIs (Application Programming Interface) that are not bound to any specific RTOS but provide most of typical RTOS services. Generic RTOS APIs can be used to describe application's RTOS-related behavior, The proposed API translator translates task code between C-code for specific RTOS and intermediate code using generic API. Also, the result can be extended to other RTOS's modifying XML transformation rule.