• 한국정보처리학회논문지
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• 제2권2호
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• pp.176-184
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• 1995

소프트웨어 재사용은 생산성과 품질을 높일 수 있는 유망한 방법임에도 실제로는 잘 활용되지 못하고 있다. 이러한 문제는 소프트웨어 품질에 대한 정략적인 측도가 부재한 이유일것이다. 본 논문에서 제안한 재사용 소프트웨어의 정량하는 기존의 소프 트웨어로부터 모듈을 추출한 후 이 모듈을 재사용 평가측도에 적용하여 재사용 여부를 측정하는 것이다. 먼저 재사용할 모듈을 측정하기 위해 품질의 인자를 범용성, 단순성, 유지보수성, 모듈성으로 구분하였으며, 인자별로 모듈을 분류 측정한 후 최정적으로 재사용 여부를 결정하게 된다. 제안한 측도의 장점은 재사용하고자 하는 모듈을 정량 적으로 측정하므로 부적절한 모듈의 재사용을 조기에 정확히 발견할 수 있다.

• 제어로봇시스템학회논문지
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• 제9권7호
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• pp.498-506
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• 2003

A computer vision system applied to an intelligent safety vehicle has been required to be worked on a small sized real time special purposed hardware not on a general purposed computer. In addition, the system should have a high reliability even under the adverse road traffic environment. This paper presents a design and an implementation of an onboard hardware system taking into account for high speed image processing to analyze a road traffic scene. The system is mainly composed of two parts: an early processing module of FPGA and a postprocessing module of DSP. The early processing module is designed to extract several image primitives such as the intensity of a gray level image and edge attributes in a real-time Especially, the module is optimized for the Sobel edge operation. The postprocessing module of DSP utilizes the image features from the early processing module for making image understanding or image analysis of a road traffic scene. The performance of the proposed system is evaluated by an experiment of a lane-related information extraction. The experiment shows the successful results of image processing speed of twenty-five frames of 320$\times$240 pixels per second.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.2355-2358
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• 2003

The purpose of this paper is to investigate two major feature extraction techniques based on generic modular face recognition system. Detailed algorithms are described for principal component analysis (PCA) and independent component analysis (ICA). PCA and ICA ate statistical techniques for feature extraction and their incorporation into a face recognition system requires numerous design decisions. We explicitly state the design decisions by introducing a modular-based face recognition system since some of these decision are not documented in the literature. We explored different implementations of each module, and evaluate the statistical feature extraction algorithms based on the FERET performance evaluation protocol (the de facto standard method for evaluating face recognition algorithms). In this paper, we perform two experiments. In the first experiment, we report performance results on the FERET database based on PCA. In the second experiment, we examine performance variations based on ICA feature extraction algorithm. The experimental results are reported using four different categories of image sets including front, lighting, and duplicate images.

• 한국콘텐츠학회논문지
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• 제18권11호
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• pp.447-454
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• 2018

본 논문은 컨볼루션 신경망으로 이루어진 학습 모델을 통해 스테레오 영상의 깊이영상 생성 알고리즘을 제안한다. 제안하는 알고리즘은 좌, 우 시차 영상을 입력으로 받아 각 시차영상의 주요 특징을 추출하는 특징 추출부와 추출된 특징을 이용하여 시차 정보를 학습하는 깊이 학습부로 구성된다. 우선 특징 추출부는 2D CNN 계층들로 이루어진 익셉션 모듈(xception module) 및 ASPP 모듈(atrous spatial pyramid pooling) module을 통해 각각의 시차영상에 대한 특징맵을 추출한다. 그 후 각 시차에 대한 특징 맵을 시차에 따라 3차원 형태로 쌓아 3D CNN을 통해 깊이 추정 가중치를 학습하는 깊이 학습부를 거친 후 깊이 영상을 추정한다. 제안하는 알고리즘은 객체 영역에 대해 기존의 다른 학습 알고리즘들 보다 정확한 깊이를 추정하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
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• pp.203-207
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• 2006

Nowadays, Cars are continuing to grow at an alarming rate but they also cause many problems such as traffic accident, pollutions and so on. One of the most effective methods that prevent traffic accidents is the use of traffic monitoring systems, which are already widely used in many countries. The monitoring system is beginning to be used in domestic recently. An intelligent monitoring system generates photo images of cars as well as identifies cars by recognizing their plates. That is, the system automatically recognizes characters of vehicle plates. An automatic vehicle plate recognition consists of two main module: a vehicle plate locating module and a vehicle plate number identification module. We study for a vehicle plate number identification module in this paper. We use image preprocessing, feature extraction, multi-layer neural networks for recognizing characters of vehicle plates and we present a feature-comparison method for improving the performance of vehicle plate number identification module. In the experiment on identifying vehicle plate number, 300 images taken from various scenes were used. Of which, 8 images have been failed to identify vehicle plate number and the overall rate of success for our vehicle plate recognition algorithm is 98%.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2006년도 춘계 학술대회 발표논문집
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• pp.33-36
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• 2006

This paper describes a speech recognizer implemented on PDAs. The recognizer consists of feature extraction module, search module and utterance verification module. It can recognize 37 words that can be used in the telematics application and fixed-point operation is performed for real-time processing. Simulation results show that recognition accuracy is 94.5% for the in-vocabulary words and 56.8% for the out-of-task words.

• 전기학회논문지
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• 제58권12호
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• pp.2511-2519
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• 2009

In this paper, we introduce the methodological system design via feature selection using Principal Component Analysis and Particle Swarm Optimization algorithms. The overall methodological system design comes from three kinds of modules such as preprocessing module, feature extraction module, and recognition module. First, Histogram equalization enhance the quality of image by exploiting contrast effect based on the normalized function generated from histogram distribution values of 2D face image. Secondly, PCA extracts feature vectors to be used for face recognition by using eigenvalues and eigenvectors obtained from covariance matrix. Finally the feature selection for face recognition among the entire feature vectors is considered by means of the Particle Swarm Optimization. The optimized Polynomial-based Radial Basis Function Neural Networks are used to evaluate the face recognition performance. This study shows that the proposed methodological system design is effective to the analysis of preferred face recognition.

• Architectural research
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• 제17권2호
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• pp.75-81
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• 2015

Insulation and condensation performance evaluation (I&CPE) is an important energy analysis. While considerable amount of data are already represented in a Building Information Model (BIM), the lack of interoperability between BIM modeling and I&CPE programs prevents the simulation process from being efficient and accurate. This study proposes a prototype of a BIM-based I&CPE simulation program, in order to enhance the interoperability between BIM modeling and I&CPE programs. This study discusses the information flow process, defines the required information and its level of detail, develops standardized libraries, and finally proposes a prototype that consists of a data extraction module, conversion module, and performance module. The assurance of interoperability between systems might greatly benefit architects and energy professionals.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.146-148
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• 2007

CMDPS (COMS Meteorological Data Processing System) is the operational meteorological products extraction system for data observed from COMS (Communication, Ocean and Meteorological Satellite) meteorological imager. CMDPS baseline products consist of 16 parameters including cloud information, water vapor products, surface information, environmental products and atmospheric motion vector. Additionally, CMDPS includes the function of calibration monitoring, and validation mechanism of the baseline products. The main objective of CMDPS validation module development is near-real time monitoring for the accuracy and reliability of the whole CMDPS products. Also, its long time validation statistics are used for upgrade of CMDPS such as algorithm parameter tuning and retrieval algorithm modification. This paper introduces the preliminary design on CMDPS validation module.

• 한국습지학회지
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• 제2권2호
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• pp.147-157
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• 2000

The objective of this study is to develop a NGIS-GUI (National Geographic Information System-Graphic User Interface) system for the computation of peak discharge at drainage basin outlet. The developed system is composed of GIS data extraction module, peak flow computation module and output display module. The selected study area is the Sungjun reservoir area near the Milyang, Kyungnam province and the peak flows depending on various recurrence intervals are computed and graphically displayed. The developed system will be useful for the scientific water flow management in the study area.