• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.309-313
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• 2000

기업이나 일반 사용자의 인터넷 이용이 급증하면서 인터넷을 통한 전자 상거래가 증가되고 있으며, 일반적인 생활형태의 한 방법으로 정착되고 있다. 현재 인터넷을 통해 제공되고 있는 다양한 형태의 서비스 중 경매, 예약, 주식거래 시스템은 클라이언트 역할을 담당하는 Web Browser상에서의 실시간 처리 및 공유 데이터의 일관성 유지가 필수적이다. 본 논문에서는, 웹 상에서 실시간 처리를 위한 하나의 실험 모델로서 경매시스템을 제안하였고, N-tier 모델 하에 RMI 메커니즘을 채택한 객체 지향 분산 프로그래밍 환경의 일종인 HORB[1]를 적용하여 구현하였으며, 클라이언트 수에 따른 실행시간을 비교하는 실험을 통해 웹에서 적용 가능성을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.368-372
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• 2000

분산 객체 지향 환경에서 클라이언트/서버 시스템 구성을 위한 미들웨어는 복잡한 클라이언트/서버간의 통신을 단순화하기 위한 것으로부터 시작되어 최근에는 많은 사용자들의 다양한 요구를 해결하기 위해 보다 기능을 확장하고 있다. 이때 발생할 수 있는 문제점으로 네트웍 트래픽의 증가, 특정 웹 서버로의 집중에 따른 부하와 관리 부담의 증가 및 전체 시스템의 서비스 성능 저하를 초래할 수 있다. 이에 대한 해결 방안으로 본 논문에서는 객체 지향 분석 및 설계 방법론인 UML(Unified Modeling Language)을 이용하여 객체 지향 모델링 기법으로 Web상에서 관련된 여러 서버들간에 분산 저장된 정보를 일반 사용자에게 동적으로 빠른 서비스를 제공할 수 있고, 특정 서버에서 발생할 수 있는 오버헤드를 줄이며, 네트워크 상에서 발생할 수 있는 병목현상을 현저히 줄일 수 있도록 RDS(Remote Data Service)를 이용하는 Web 애플리케이션 설계 및 구현을 제안하였다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.36.6-36
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• 2001

The problem of robot navigation and control is a complex task. Its complexity and characteristics depends on the characteristics of the environment robot inhabits, robot construction (mechanical abilities to move, sense) and the job the robot is supposed to do. In this paper we propose a hybrid programming approach to mobile robot navigation and control in an indoor environment. In our approach we used declarative, procedural, and object oriented programming paradigms and we utilized some advantages of our distributed computing architecture. The programming languages corresponding to the paradigms we used were C, C++ and Prolog. In the paper we present some details of our mobile robot hardware and software structure, focusing on the software design and implementation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.561-564
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• 2009

In this paper, we present an environment configuration of UML CASE tool for internet based collaboration work. We define a method of model sharing in distributed location and construct shared repository. Also we design for model history among work processes and to give responsibility using user authentication. Its result will contribute development of CASE tool supporting collaboration work.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.2
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• pp.87-93
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• 2019

This research deals with posture optimization for humanoid robot against external forces using genetic algorithm and neural network. When the robot takes a motion to push an object, the torque of each joint is generated by reaction force at the palm. This study aims to optimize the posture of the humanoid robot that will change this torque. This study finds an optimized posture using a genetic algorithm such that torques are evenly distributed over the all joints. Then, a number of different optimized postures are generated from various the reaction forces at the palm. The data is to be used as training data of MLP(Multi-Layer Perceptron) neural network with BP(Back Propagation) learning algorithm. Humanoid robot can find the optimal posture at different reaction forces in real time using the trained neural network include non-training data.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1323-1326
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• 2004

본 연구에서는 OPC(OLE for Process Control)가 마이크로소프트의 COM(Component Object Model)과 DCOM(Distributed COM) 기술을 사용함으로써 윈도우즈 플랫폼에서 클라이언트 어플리케이션이 개발되어 져야 하는 제약을 해결하기 위하여 Java2OPC Gateway를 제안한다. Java2OPC Gateway는 프로세스 컨트롤 장비와 연결된 OPC 서버쪽과 통신하는 클라이언트의 기능과 다양한 플랫폼에서 프로세스 데이터에 접근하기 위한 자바 어플리케이션과 통신하는 서버의 기능을 가진다. 클라이언트 모듈은 C로 작성되고 서버 모듈은 Java로 작성되어 클라이언트 모듈과 서버 모듈은 JNI(Java Native Interface)로 연결 된다.

• Nuclear Engineering and Technology
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• v.53 no.8
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• pp.2652-2660
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• 2021

The gamma-ray exposure doses in decontamination operation after a nuclear accident were evaluated with a consideration of various geometrical conditions and specific gamma-ray energies. The calculation domain is organized with three residence types and each form is divided into two kinds of geometrical arrangements. The position-wise air KERMA values were calculated with an assumption of evenly distributed gamma-ray source based on Monte Carlo radiation transport analysis using the MCNP code. The radioactivity is initially set to be unity to be multiplied by the deposition value measured in the actual accident condition. The workforce data set depending on the target object was determined by modifying the Fukushima report. The external exposure doses for decontamination workers were derived from the calculated KERMA values and the workforce analysis. These results can be used to efficiently determine the workforce required by the characteristics of the area and the structure to be decontaminated within the dose limits.

• Korea Information Processing Society Review
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• v.11 no.6
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• pp.8-24
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• 2004

OO RT programming is a technology expected to flourish in this quarter of the 21st century. Currently, its youthfulness is indicated by the insufficient availability of the support middleware and the associated API, let alone language compilers. The middleware providing fault-tolerant execution support is in its infancy. The advances in OO RT distributed programming will also enable large-scale RT simulations. The research community dealing with this technology area is expected to grow continuously for foreseeable future and consequent accelerations of the technology advances will in turn accelerate the development of many new types of sophisticated RT DC applications as well as realization of advanced types of ubiquitous computing societies.

• Journal of KIISE
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• v.44 no.1
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• pp.84-94
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• 2017

Recently, the importance of velocity, one of the characteristics of big data (5V: Volume, Variety, Velocity, Veracity, and Value), has been emphasized in the data processing, which has led to several studies on the real-time stream processing, a technology for quick and accurate processing and analyses of big data. In this paper, we propose a Squall framework using Time-triggered Message-triggered Object (TMO) technology, a model that is widely used for processing real-time big data. Moreover, we provide a description of Squall framework and its operations under a single node. TMO is an object model that supports the non-regular real-time processing method for certain conditions as well as regular periodic processing for certain amount of time. A Squall framework can support the real-time event stream of big data and micro-batch processing with outstanding performances, as compared to Apache storm and Spark Streaming. However, additional development for processing real-time stream under multiple nodes that is common under most frameworks is needed. In conclusion, the advantages of a TMO model can overcome the drawbacks of Apache storm or Spark Streaming in the processing of real-time big data. The TMO model has potential as a useful model in real-time big data processing.

• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.79-90
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• 2017

Urban environment represent one of the most dynamic regions on earth. As in other countries, forests, green areas, agricultural lands are rapidly changing into residential or industrial areas in South Korea. Monitoring such rapid changes in land use requires rapid data acquisition, and satellite imagery can be an effective method to this demand. In general, SAR(Synthetic Aperture Radar) satellites acquire images with an active system, so the brightness of the image is determined by the surface roughness. Therefore, the water areas appears dark due to low reflection intensity, In the residential area where the artificial structures are distributed, the brightness value is higher than other areas due to the strong reflection intensity. If we use these characteristics of SAR images, settlement areas can be extracted efficiently. In this study, extraction of settlement areas was performed using TerraSAR-X of German high-resolution X-band SAR satellite and KOMPSAT-5 of South Korea, and object-oriented image classification method using the image segmentation technique is applied for extraction. In addition, to improve the accuracy of image segmentation, the speckle divergence was first calculated to adjust the reflection intensity of settlement areas. In order to evaluate the accuracy of the two satellite images, settlement areas are classified by applying a pixel-based K-means image classification method. As a result, in the case of TerraSAR-X, the accuracy of the object-oriented image classification technique was 88.5%, that of the pixel-based image classification was 75.9%, and that of KOMPSAT-5 was 87.3% and 74.4%, respectively.