• 전자공학회논문지A
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• 제29A권11호
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• pp.25-39
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• 1992

Due to the data processing development by the computer, the early warning system recently has made a remarkable evolution in its functions and performance as a component of the communication and control system which is also supported by the computer communication and intelligence system. In this paper it is presented that a integrated data processing system is designed to integrate the information sent from the various radar systems which constitute an early warning system. The suggested system model of this paper is devided into two types of structures, the centralized model and the distributed model, according to the data processing algorithm. We apply the queueing theory to analyse the performance of the designed models and the OPNET system kernel to make the analysing program with C language. From the analysis of the queueing components by applying the analysis programs to the designed systems, we got the tendancies and characteristics of both models, that is, a fast data processing performance of the distributed model and a stable data processing capability of the centralized model.

• Journal of information and communication convergence engineering
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• 제16권3호
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• pp.160-165
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• 2018

This paper designed and developed the image processing system of integrating feature extraction and matching by using convolutional neural network (CNN), rather than relying on the simple method of processing feature extraction and matching separately in the image processing of conventional image recognition system. To implement it, the proposed system enables CNN to operate and analyze the performance of conventional image processing system. This system extracts the features of an image using CNN and then learns them by the neural network. The proposed system showed 84% accuracy of recognition. The proposed system is a model of recognizing learned images by deep learning. Therefore, it can run in batch and work easily under any platform (including embedded platform) that can read all kinds of files anytime. Also, it does not require the implementing of feature extraction algorithm and matching algorithm therefore it can save time and it is efficient. As a result, it can be widely used as an image recognition program.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.71-74
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• 2009

The data-flow paradigm has been employed in various application areas. It is particularly useful where large data-streams must be processed, for example in video and audio processing, or for scientific visualization. A video-based 3D reconstruction system should process multiple synchronized video streams. The system exhibits many properties that can be targeted using a data-flow approach that is naturally divided into a sequence of processing tasks. In this paper we introduce our concept to apply the data-flow approach to a multi-video 3D reconstruction system.

• 한국정보처리학회논문지
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• 제4권1호
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• pp.87-96
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• 1997

정보 사회로 진입하는 사회 구조의 변화에 따라 주요 국가에서는 초고속 정보통 신망의 구축과 이의 운용에 필요한 시스템 소프트웨어, 그리고 이를 이용하여 일반인 들의 일상생활에 도움을 줄 수 있는 응용 소프트웨어의 개발을 사회 간접 자본의 하 나로서 추진하고 있다. 본 논문에서는 우리나라에서 개발하고 있는 초고속 정보통신 시스템 소프트웨어의 개발방법론을 제시하고 이를 보완하기 위하여 적용하였던 형상 관리 체계의 특징적 요소와 이의 활용에 대한 제안을 시스템 공학적 권점에서 제시한 다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권1호
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• pp.56-62
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• 2004

This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.

• Journal of information and communication convergence engineering
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• 제10권3호
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• pp.258-263
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• 2012

Recently, the magnitude of electronic data interchange (EDI) document processing for the handling of port logistics is abruptly being increased. The existing system processes EDI documents in a script mode, but due to a complicated script preparation procedure and low document processing efficiency, it cannot meet the demand as the usage flow of documents increases. In this paper, an EDI electronic document processing system was designed and implemented in a document scanner and mapper, which are binary form electronic document processing tools and do not require script files during the conversion of extensible markup language (XML)-based electronic documents. This new system has the merits of XML features during reading and writing with improved speed, usage convenience, and good portability on systems when compared to the conventional ones.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.427-428
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• 2007

An intelligent chat agent is a computer application that can have conversation with the user. This paper gives an overview of design and implementation of such a system in Java Expert System Shell (Jess) and have compared some of the limitations by using two different implementation approaches.

• 한국지능시스템학회논문지
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• 제11권5호
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• pp.441-447
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• 2001

In general, Rough Set theory is used for classification, inference, and decision analysis of incomplete data by using approximation space concepts in information system. Information system can include quantitative attribute values which have interval characteristics, or incomplete data such as multiple or unknown(missing) data. These incomplete data cause tole inconsistency in information system and decrease the classification ability in system using Rough Sets. In this paper, we present various types of incomplete data which may occur in information system and propose INcomplete information Processing System(INiPS) which converts incomplete information system into complete information system in using Rough Sets.

• 한국통신학회논문지
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• 제18권11호
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• pp.1785-1796
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• 1993

본 연구는 각종 레이다로부터 얻어지는 다양한 정보를 하나의 통합된 시스템으로 처리하는 정보통합 처리시스템의 구성을 제안하였고, 제안된 시스템의 성능과 타당성 분석은 m/m/1큐 모델에 의한 시스템 시뮬레이션을 통하여 평가되었다. 또 이들 정보처리 시스템간의 연동을 위한 종합정보망을 설계하고 그 전송특성을 분석하였다. 정보통합 처리시스템의 설계에서는 정보처리 형태에 따라 단일형과 분산다중형으로 분류하려 구성하였다. 각 시스템의 구조는 실시간 처리 프로세서로서 UNIX의 메시지 큘ㄹ 사용하였으며 이들 모델 시스템의 성능 분석에는 큐잉모델을 사용하여 시스템의 정보흐름을 모델링하고 시뮬레이션을 위한 소프트웨어는 OPNET 시스템 커널과 C언어로써 작성하였다. 작성된 분석 프로세서에 의해 시스템의 지연시간과 메시지 Blocking등의 주요 큐잉요소를 관찰하고 이를 통해 분산다중형과 단일형 양모델간의 특성을 비교 검토하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2024년도 춘계학술발표대회
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• pp.31-34
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• 2024

추천 시스템(Recommendation System)은 인터넷 쇼핑몰, 넷플릭스, SNS 등 여러 분야에서 유저에게 맞는 타겟 광고를 추천하는 시스템을 말한다. 추천 시스템을 가속하기 위해서는 추천 시스템 모델에서 불규칙적이고 잦은 데이터 이동으로 인해 병목현상을 일으키는 임베딩 레이어를 타겟하는 것이 중요하다고 알려져 있다. 이 논문에서는 데이터 이동이 잦은 어플리케이션에 효과적인 Processing-in-Memory 를 이용하여 추천 시스템을 가속하고 분석한다.