• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.367-368
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• 2007

본 논문은 홈 네트워크 시스템에서 사용자의 편의를 고려한 홈 서버 구현 방안에 대해 제안한다. 홈 서버는 리눅스 기반의 임베디드 보드 또는 PC를 사용할 수 있고 시스템은 인터넷 망을 기반으로 하고 있으며 클라이언트, 서버, 시뮬레이터로 구성되어 있다. 사용자는 웹 브라우저를 내장한 모든 기기에서 서버에 접속할 수 있다. 클라이언트 프로그램은 모든 종류의 CPU와 OS를 지원하기 위하여 자바 애플릿을 사용하였다. 사용자는 별도의 프로그램 설치 없이 원격에서 서버의 웹 페이지를 통해 접속하고 각종 기기들을 제어할 수 있으며 손쉽게 데이터를 공유할 수 있다. 서버는 리눅스 기반으로 웹 서비스를 할 수 있도록 서버가 구축되어있고 클라이언트 프로그램과 동일한 이유로 자바언어를 사용하여 서버 프로그램을 작성하였다. PC 대신 사용할 수 있는 임베디드 리눅스 보드는 내장형 시스템을 구성하는데 유용하며 홈 네트워크 시스템뿐만 아니라 각종 분야 등에도 널리 이용되어 질 수 있다. 임베디드 보드는 많은 자원을 필요로 하지 않는 국한된 목적의 시스템에 적용하기에 적합하며 널리 사용되고 있다. 시스템 구성을 위해 임베디드 보드에 리눅스를 포팅하고, 웹서버를 사용 가능하게 만들어 준 후, 자바 프로그램을 실행하기 위한 JVM(Java Virtual Machine)과 서블릿 및 JSP등의 자바 코드를 이해할 수 있는 엔진을 포팅하였다. 이로써 웹 서버로서의 역할과 홈 네트워킹 서버로서의 역할을 동시에 수행하게 된다. 시뮬레이션 프로그램은 자바 어플리케이션 프로그램을 사용하였고 데이터의 정상적인 전달여부와 기기들의 상태를 모니터링 할 수 있다.

• Journal of Korea Multimedia Society
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• v.14 no.6
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• pp.794-801
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• 2011

Main machinery in the factory have various digital indicator to display its operating data for the manager. It is useful to control these datum at the remote office for factory automation in order to increase machine productivity. It is easy to use Ethernet infrastructure for remote communication. But most of all machinery in domestic factories still support RS232c or RS485 serial communication way. In this case to control machinery datum on the ethernet base, it is need to change RS232C or RS485 data to ethernet base. In this paper, in order to develop a remote progress management system through the wireless Internet, we show a design method to make easy maintenance by developing the system with both the JAVA language and RxTx Package for RS232c serial communication. For the system implementation, we added the digital indicator connect with a thermo couple to a machine which provide the real time status data of temperature. To connect machines management server program, we set up a convertor to change the RS485 data to the RS232c and also another convertor to change the RS232c data to wireless ethernet.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.2
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• pp.141-150
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• 2001

Manufacturing conb'ol applications consist of concurrent active components such as robots, AGV's (Automatic Guided Vehicles), and conveyors. Running of manufacturing control programs is interactions among those components. We can enhance the productivity and extendability of manufacturing control applications by using the object-oriented teclmology that models those components as reusable objects. But the objects in current object-oriented technology that encapsulate state and behavior infonnation are passive in a sense that those respond only when messages are sent to them. In this paper, we introduce the Distributed Active Object Systems (DAGS) approach that SUPPOltS active objects. Since active objects encapsulate control infonnation in addition to state and behavior information under COREA/Java-based distributed environment, they can represent manufacturing control components better than the objects in ordimuy object-oriented technology. TIus control infonnation provides an object with a featme that can monitor its own status as well as other object's status connected by intelface valiables. Active objects can initiate a behavior according to the change of those status. Therefore, we can sb-uctmally assemble self-initiating active objects by using intelface variables to construct a system without describing bow to control distributed objects by using message passing. As the DAOS approach supports object composability, we can enhal1ce the productivity and extendability of disbibuted manufactming control applications even better than the ordil1alY object-oriented approach. Also, the DAOS approach supports better component reusability with active objects that encapsulate control information .

• KIISE Transactions on Computing Practices
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• v.21 no.8
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• pp.524-530
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• 2015

A log is for text monitoring and perceiving the issues of a system during the development and operation of a program. Based on the log, system developers and operators can trace the cause of an issue. In the development phase, it is relatively simple for a log to be traced while there are only a small number of personnel uses of a system such as developers and testers. However, it is the difficult to trace a log when many people can use the system in the operation phase. In major cases, because a log cannot be tracked, even tracing is dropped. This study proposed a simplified tracing of a log during the system operation. Thus, the purpose is to create a log on the run time based on an ID/IP, using features provided by the Logback. It saves an ID/IP of the tracking user on a DB, and loads the user's ID/IP onto the memory to trace once WAS starts running. Before the online service operates, an Interceptor is executed to decide whether to load a log file, and then it generates the service requested by a certain user in a separate log file. The load is insignificant since the arithmetic operation occurs in a JVM, although every service must pass through the Interceptor to be executed.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.111-119
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• 2010

U-Healthcare provides healthcare and medical services, such as prevention, diagnosis, treatment, and follow-up services whenever and wherever it is needed, and its ultimate goal is to improve quality of life. This study defines the figure of U-Healthcare personalized services for providing U-Healthcare personalized services and proposes a healthcare model. A diet prescription system for personalized services can draw customized calories and rates of nutrition factors and represent a personalized diet through analyzing the personal preference in foods. This system changes the personal preference by monitoring the diet selection behavior of users. Also, this system is designed to be interactively operated with some sensors and devices in various environments using Java-based OSGi middleware.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.108-115
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• 2011

Virtual Robot Education System (VRES), which is for programming education with a Lego Mindstorm NXT robot, is designed and implemented. Through this system, program learners can edit source code, compile, download it into the robot, and run their executive program. In order to observe it, the system includes web cameras and provide monitoring services. Thus, students are able to verify the operation of robot into which they download their program in detail and to debug if necessary. In addition, we design a new simple user-friendly programming language and a corresponding compiler for it. With those tools, learner can more easily create programs for NXT robot and test them than Java language. A educator can control and manage the robot for the subject of a class with direct control mode of our system. Therefore, the proposed system is able to support students to learn robot programming during or after regular classes with web browsers through Internet.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2665-2673
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• 2015

The purpose of this study is to develop a web-based database system to manage effectively data collected to evaluate program learning outcomes (PO) in a nursing school. The database management system (DBMS) was developed using a software development life cycle method: Analysis, Design, Implementation, and Evaluation. The demands for the content and system of users were collected. The system structure, database using an entity-relationship modeling, and user interface were designed based on the demands. The designed DBMS was created using GWT, Java and Apache HTTP server. The expert group and users evaluated the implemented DBMS. Problems derived from them were modified. The average of end-user computing satisfaction evaluated by 8 nursing faculty and 5 teaching assistants was 4.14 (SD =.44). The web-based PO DBMS makes it possible for nursing faculty members to access and use much of the information needed for analysis and decision-making.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.168-168
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• 2017

ICT 융합 스마트팜 내의 환경계측 센서, 영상 및 사양관리 시스템의 증가에도 불구하고 이들 장비에서 확보되는 데이터를 적절히 유효하게 활용하는 기술이 미흡한 실정이다. 돈사의 경우 가축의 복지수준, 성장 변화를 실시간으로 모니터링 및 예측할 수 있는 데이터 분석 및 모델링 기술 확보가 필요하다. 이를 위해선 가축의 생리적 변화 및 행동적 변화를 조기에 감지하고 가축의 복지수준을 실시간으로 감시하고 분석 및 예측 기술이 필요한데 이를 위한 대표적인 정보 통신 공학적 접근법 중에 하나가 Data mining 이다. Data mining에 대한 연구 수행에 필요한 다양한 소프트웨어 중에서 Open source로 제공이 되는 4가지 도구를 비교 분석하였다. 스마트 돈사 내에서 열환경 모델링을 목표로 한 데이터 분석에서 고려해야할 요인으로 데이터 분석 알고리즘 도출 시간, 시각화 기능, 타 라이브러리와 연계 기능 등을 중점 적으로 분석하였다. 선정된 4가지 분석 도구는 1) R(https://cran.r-project.org), 2) OpenCV(http://opencv.org), 3) OpenNN (http://www.opennn.net), 4) Orange(http://orange.biolab.si) 이다. 비교 분석을 수행한 운영체제는 Linux-Ubuntu 16.04.4 LTS(X64)이며, CPU의 클럭속도는 3.6 Ghz, 메모리는 64 Gb를 설치하였다. 개발언어 측면에서 살펴보면 1) R 스크립트, 2) C/C++, Python, Java, 3) C++, 4) C/C++, Python, Cython을 지원하여 C/C++ 언어와 Python 개발 언어가 상대적으로 유리하였다. 데이터 분석 알고리즘의 경우 소스코드 범위에서 라이브러리를 제공하는 경우 Cross-Platform 개발이 가능하여 여러 운영체제에서 개발한 결과를 별도의 Porting 과정을 거치지 않고 사용할 수 있었다. 빌트인 라이브러리 경우 순서대로 R 의 경우 가장 많은 수의 Data mining 알고리즘을 제공하고 있다. 이는 R 운영 환경 자체가 개방형으로 되어 있어 온라인에서 추가되는 새로운 라이브러리를 클라우드를 통하여 공유하기 때문인 것으로 판단되었다. OpenCV의 경우 영상 처리에 강점이 있었으며, OpenNN은 신경망학습과 관련된 라이브러리를 소스코드 레벨에서 공개한 것이 강점이라 할 수 있다. Orage의 경우 라이브러리 집합을 제공하는 것에 중점을 둔 다른 패키지와 달리 시각화 기능 및 망 구성 등 사용자 인터페이스를 통합하여 운영한 것이 강점이라 할 수 있다. 열환경 모델링에 요구되는 시간 복잡도에 대응하기 위한 부가 정보 처리 기술에 대한 연구를 수행하여 스마트팜 열환경 모델링을 실시간으로 구현할 수 있는 방안 연구를 수행할 것이다.

• Journal of Bio-Environment Control
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• v.13 no.4
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• pp.209-216
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• 2004

This study was aimed to assess the effects of microclimate factors on lettuce chlorophyll fluorescent responses and to develop an environment control system for plant growth by adopting a simple genetic algorithm. The photosynthetic responses measurements were repeated by changing one factor among six climatic factors at a time. The maximum Fv'/Fm' resulted when the ambient temperature was $21^{\circ}C,\;CO_2$ concentration range of 1,200 to 1,400 ppm, relative humidity of $68\%$, air current speed of $1.4m{\cdot}s^{-1}$, and the temperature of nutrient solution of $20^{\circ}C$. In PPF greater than $140{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, Fv'/Fm' values were decreased. To estimate the effects of combined microclimate factors on plant growth, a photosynthesis efficiency model was developed using principle component analysis for six microclimate factors. Predicted Fv'/Fm' values showed a good agreement to measured ones with an average error of $2.5\%$. In this study, a simple genetic algorithm was applied to the photosynthesis efficiency model for optimal environmental condition for lettuce growth. Air emperature of $22^{\circ}C$, root zone temperature of $19^{\circ}C,\;CO_2$ concentration of 1,400 ppm, air current speed of $1.0m{\cdot}s^{-1}$, PPF of $430{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, and relative humidity of $65\%$ were obtained. It is feasible to control plant environment optimally in response to microclimate changes by using photosynthesis efficiency model combined with genetic algorithm.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1435-1446
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• 2021

Wind and flood damage caused by typhoons causes a lot of damage to the Korean Peninsula every year. In order to minimize damage, a preliminary analysis of damage estimation and evacuation routes is required for rapid decision-making. This study attempted to develop an analysis module that can provide necessary information according to the disaster stage. For use in the preparation stage, A function to check past typhoon routes and past damage information similar to typhoon routes heading north, a function to extract isolated dangerous areas, and a function to extract reservoir collapse areas were developed. For use in the early stages of response and recovery, a function to extract the expected flooding range considering the current flooding depth, a function to analyze expected damage information on population, buildings, farmland, and a function to provide evacuation information were included. In addition, an automated web map creation method was proposed to express the analysis results. The analysis function was developed and modularized based on Python open source, and the web display function was implemented based on JavaScript. The tools developed in this study are expected to be efficiently used for rapid decision-making in the early stages of monitoring against storm and flood damage.