• Journal of Korea Society of Industrial Information Systems
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• v.15 no.3
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• pp.67-75
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• 2010

Network reprogramming is a technology that allows several sensor nodes deployed in sensor field to be repaired remotely. Unlike general communication in sensor network where small amount of data is transferred, network reprogramming requires reliable transfer of large amount of data. The existing network reprogramming techniques suffers high cost and large energy consumption to recover data loss in node communication. In this paper, a cluster based network reporgramming scheme is proposed for sensor network. It divides sensor field into several clusters and chooses a cluster header in charge of data relay to minimize duplicated transmission and unnecessary competition. It increases reliability by effective error recovery through status table.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.85-87
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• 2006

센서 네트워크에서의 네트워크 리프로그래밍은 무선 통신을 통해 센서 노드에서 수행되는 소프트웨어를 변경하는 것으로서, 이를 사용하면 센서 네트워크를 구성하는 수백 개 혹은 수천 개의 노드들의 소프트웨어를 효과적으로 변경시킬 수 있다. 현재 네트워크 리프로그래밍을 위해 XNP, MNP. MOAP, Deluge, Mate 및 Incremental 기법 등이 제안되어 왔지만 아직 만족할만한 방법은 찾아보기 힘든 실정이다. 본 논문에서는 멀티홉을 지원하는 Deluge에 Incremental 기법을 통합하여 효율적인 리프로그래밍 기법을 구현하였다. 제안된 기법은 TinyOS 1.1.14 버전에 구현되었으며, 이를 통해서 네트워크 리프로그래밍을 위해 요구되는 패킷의 수와 소요시간을 크게 단축시킬 수 있다. 또한 센서 노드에서 패킷 전송에 따른 전력소 모가 가장 큰 점을 고려할 때 본 연구에서 제안하는 방식을 사용하면 센서 노드의 전력소모량도 크게 감소시킬 수 있는 효과를 기대할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.421-425
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• 2006

본 논문에서는 TinyOS 기반의 센서 네트워크에 대한 리프로그래밍을 에너지 효율적으로 수행하기 위한 매커니즘을 제안한다. 베이스 스테이션에서 센서노드에게 프로그램 전체를 보내는 대신 이전 버전과의 차이인 델타를 생성해서 전송할 때 Multi-round Rsync 알고리즘을 적용해 델타 파일의 크기를 최대한 줄이는 기법과 업데이트가 불필요한 플래시메모리 페이지에 대한 업데이트를 방지하기 위한 페이지 맵 기법을 통해 Rsync만을 사용하는 기존 방식보다 최대 30% 이상 에너지를 절감할 수 있음을 확인하였다.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.25-32
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• 2019

This paper proposes the method of an in-vehicle gateway to reduce the reprogramming time for the ECU (Electronic Control Unit). In order to reduce the reprogramming time, the gateway must prohibit transmitting messages, that are not related to reprogramming, to the destination CAN network, and no ECU should diagnose the DTC(Diagnostic Trouble Code) that indicates CAN communication error caused by prohibiting CAN messages by the gateway. Moreover, STmin, which are the minimum time between two consecutive CAN messages, should be minimized. In order to do this, this paper proposes the method that uses the link control command specified in UDS(Unified Diagnostic Services) and hardware based gateway functionality that are supported by the latest MCU(Micro Controller Unit). The proposed method is developed using TC275 based embedded system, and its results are presented.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.616-618
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• 2005

본 논문은 적외선 리모트 컨트롤러로 제어가 가능한 가정용 소형 로봇인 $Robosapien^{TM}$을 홈 네트워크 제어를 위한 홈 서버를 통해 직접 제어할 수 있는 제어 소프트웨어를 개발하였다. 또한 $Robosapien^{TM}$의 연속적인 동작을 쉽게 프로그래밍하고 실행시킬 수 인터프리터 (interpreter)의 세부 구현내용을 기술하였다. 본 구현은 컴퓨터 프로그래밍의 개념 정립이 부족한 일반 사용자나 컴퓨터 프로그밍에 관심이 많은 학생들이 쉽게 프로그래밍 할 수 있는 비주얼 프로그래밍 도구를 개발하였다. 특히 구현 시 필요한 구성 요소 및 기능을 설계하고 사용자의 편의성을 고려한 편리한 GUI(Graphical User Interface)의 구현에 중점을 두었다. 본 비주얼 프로그래밍 도구는 가정의 데스크톱 PC뿐만 아니라, 실외에서 PDA와 같은 소형 이동단말기를 이용하여 원격으로 가정의 홈 서버에 접속하여 $Robosapien^{TM}$의 동작을 실시간으로 제어할 수 있으며 가정의 웹 카메라를 통하여 $Robosapien^{TM}$이 정확하게 동작하고 있는지를 원격으로 확인할 수 있다.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.78-85
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• 2010

Map/Reduce is the programing model which can implement the Cloud Computing recently has been noticed. The model operates an application program processing amount of data using a lot of computers. It is important to plan the mechanism of separating the data in proper size and distributing that to a cluster consisted of computing node in efficient for using the computing nodes very well. Besides that, planning a process of Map phases and Reduce phases also influences the performance of Map/Reduce. This paper suggests the effectively distributing scheme that separates a huge data and operates Map task in the considering the performance of computing node and network status. And we make the Reduce task can be processed quickly through the tuning the mechanism of Map and Reduce task operation. Using the two Map/Reduce sample application, we experimented the suggestion and we evaluate suggestion considered it in how impact the Map/Reduce performance.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.327-330
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• 2007

This paper verifies that the normality assumption that the simulation output data, Project Completion Times (PCTs), follow normal distribution is not always acceptable and the existing belief may lead to misleading results. A risk quantification method, which measures the effect caused by the assumption, relative to the probability distribution of PCTs is implemented as an algorithm in MATLAB. To validate the reliability of the quantification, several series of simulation experiments have been carried out to analyze a set of simulation output data which are obtained from different type of Probability Distribution Function (PDF) assigned to activities'duration in a network. The method facilitates to find the effect of PDF type and its parameters. The procedure necessary for performing the risk quantification method is described in detail along with the findings. This paper contributes to improving the reliability of simulation based scheduling method, as well as increasing the accuracy of analysis results.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.2
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• pp.291-298
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• 2022

A generative adversarial network (GAN) is a network in which two internal neural networks (generative network and discriminant network) learn while competing with each other. The generator creates an image close to reality, and the delimiter is programmed to better discriminate the image of the constructor. This technology is being used in various ways to create, transform, and restore the entire image X into another image Y. This paper describes a method that can be forged into another object naturally, after extracting only a partial image from the original image. First, a new image is created through the previously trained DCGAN model, after extracting only a partial image from the original image. The original image goes through a process of naturally combining with, after re-styling it to match the texture and size of the original image using the overall style transfer technique. Through this study, the user can naturally add/transform the desired object image to a specific part of the original image, so it can be used as another field of application for creating fake images.