• 산업경영시스템학회지
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• 제10권16호
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• pp.133-141
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• 1987

Man-machine assignment problem with random service and processing times is considered in this paper. Assuming heterogeneous semi-automatic machines, the problem is dealt with as follow; 1. For the different type of machines that have probabilistics distribution of processing time and nan service time, man·machine assignment problem is solved by heuristic method using expected time value if machine. 2. Since each related time is a random variable, the performance of the optimal assignment obtained from the above method is verified through monte carlo simulation method. 3. The above procedures are programed by BASIC language to use easily and rapidly in the personal computer. The result of this study can contribute to productivity enhancement by increasing the efficiencies of both operators and machines.

• 한국정보처리학회논문지
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• 제6권10호
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• pp.2693-2706
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• 1999

Reengineering to object-oriented system is needed to maintain the system and satisfy requirements of structure change. Target systems which should be reengineered to object-oriented system are difficult to change because these systems have no design document or their design document is inconsistent of source code. Using design document to identifying objects for these systems is improper. There are several researches which identify objects through procedural source code analysis. In this paper, we propose automatic object identification method based on clustering of VTFG(Variable-Type-Function Graph) which represents relations among variables, types, and functions. VTFG includes relations among variables, types, and functions that may be basis of objects, and weights of these relations. By clustering related variables, types, and functions using their weights, our method overcomes limit of existing researches which identify too big objects or objects excluding many functions. The method proposed in this paper minimizes user's interaction through automatic object identification and make it easy to reenginner procedural system to object-oriented system.

• 한국정보처리학회논문지
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• 제7권2호
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• pp.558-568
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• 2000

본 논문에서는 등고선 지도의 3차원 정보를 이용하여 수치지형도 자동 생성방법을 제안한다. 제안된 방법은 등고선의 세선화와 라벨링을 통해 등고성분과 비 등고성분을 정확히 구분하였으며, Bezier 곡선을 사용하여 끊어진 등고선을 부드럽게 연결한다. 마지막으로 등고선으로부터 얻어진 고도 데이터를 사용하여 3차원 데이터를 생성한다. 제안된 방법은 수치 지형도를 만들기 위해 소요되는 막대한 양의 인력과 시간, 비용을 절약할 수 있다.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2000년도 추계종합학술대회논문집
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• pp.41-44
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• 2000

본 논문에서는 동아대학교 RRC에서 개발한 게이트 자동화 시스템에 적용된 DSRC(Dedicated Short Range Communication) 시스템을 항만 내 야드 자동화에서도 이용하기 위해 이동 수송 차량에 장착되는 OBE(On-Board Equipment)와 야드에 설치되는 RSE(Road Side Equipment)간의 통신 소프트웨어 알고리즘을 제안하였다. 컨테이너 야드와 하역 시스템의 자동화를 구현하기 위해 OBE와 RSE간을 DSRC 방식으로 통신할 때 통신 대상에 따른 송수신 정보의 분류, 통신 대상의 분류 및 특성을 분석하였다.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.600-606
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• 2018

Smart city is currently the main direction of development. The automatic management of instrumentation is one task of the smart city. Because there are a lot of old instrumentation in the city that cannot be replaced promptly, how to makes low-cost transformation with Internet of Thing (IoT) becomes a problem. This article gives a low-cost method that can identify code wheel instrument information. This method can effectively identify the information of image as the digital information. Because this method does not require a lot of memory or complicated calculation, it can be deployed on a cheap microcontroller unit (MCU) with low read-only memory (ROM). At the end of this article, test result is given. Using this method to modify the old instrumentation can achieve the automatic management of instrumentation and can help build a smart city.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 추계학술발표대회
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• pp.1506-1508
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• 2015

A 2D barcode region localization system for the automatic inspection of a long distance logistics objects has been developed. For the successful 2D barcode localization, variance and frequency of the pixel distribution within average 2D barcodes is modeled and the average model of 2D barcode is combined with the corner features detection to localize the final 2D barcode candidates. An automatic 2D barcode localization software was developed with the multiple features mixture method and we tested our system on real camera images of several popular 2D barcode symbologies.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.149-152
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• 2019

반려동물 기르는 1인 가구가 증가함에 따라 여건도 관리하기 쉽게 발전되어져야 하지만 아직까지는 더딘 상황이다. 1인가구의 경우 약속, 야근 등 예기치 못한 상황 발생 시 먹이 급여에 있어서 어려움을 겪는데 이를 해결하기 위해서 개발하게 되었다. 위 작품은 어플리케이션을 통하여 시간, 장소에 구애받지 않고 원격 배식이 가능하다. 뿐만 아니라, 예약 자동 배식 추가를 통해서 보다 편리함을 제공하고 여건을 개선하고가 개발하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 추계학술발표대회
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• pp.1035-1037
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• 2015

현재 소프트웨어 요구사항은 전체 소프트웨어 개발 프로세스를 거쳐, 완성된 제품 인도 시 인수 기준으로 작용한다. 그러므로 이런 요구사항은 개발주기 전체에 걸친 매우 중요한 관리 수단이다. 그러나 국내 다수의 중소기업은 이러한 문서화에 시간 및 비용이 부족하여, 개발 문서의 부재 혹은 코드와 문서가 불일치한 것이 현실이다. 이 문제를 해결하기 위해, 자동 프로젝트 문서 발생기(Automatic Project Document Generator)를 제안한다. 제안한 발생기를 통해 요구사항 스펙과 소스 코드 간 동기화로 요구사항 대로 개발이 진행되는지 확인 가능하다.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2003년도 춘계 학술발표회논문집
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• pp.12-15
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• 2003

Korea Institute of Geoscience and Mineral Resources(KIGAM) is operating Wonju Korea Seismic Research Station(KSRS), 29 regional seismic research stations and 5 Korea-China joint seismic stations in China. Also KIGAM is operating Korea Earthquake Monitoring System (KEMS) to archive the real-time data stream and to determine event parameters (epicenter, origin time, and magnitude) by the automatic processing and analyst review. To do this, KEMS used KIGAM's regional seismic network and other institute's network in a near real-time base. From Dec. 1, 2001 to Nov. 30, 2002, 3,827 seismic events were analyzed in a automatic processing procedure and finally 3,437 events were analyzed by analyst and archived. But problem is this event catalog includes not only natural earthquake, but also artificial events produced by the blast. More than 80 % events were concentrated in daytime and many events were concentrated in the confirmed blast sites, Pyeongyang, Pocheon, Yeongjong-do, Donghae city, etc. Because these artificial events are a major potential cause of error when estimating the seismicity of a specific region, discrimination procedure has to be developed in the first place.

• 센서학회지
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• 제30권1호
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• pp.15-19
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• 2021

Image processing is one of the major techniques that are used for computer vision. Nowadays, researchers are using machine learning and deep learning for the aforementioned task. In recent years, digit recognition tasks, i.e., automatic meter recognition approach using electric or water meters, have been studied several times. However, two major issues arise when we talk about previous studies: first, the use of the deep learning technique, which includes a large number of parameters that increase the computational cost and consume more power; and second, recent studies are limited to the detection of digits and not storing or providing detected digits to a database or mobile applications. This paper proposes a system that can detect the digital number of meter readings using a lightweight deep neural network (DNN) for low power consumption and send those digits to an Android mobile application in real-time to store them and make life easy. The proposed lightweight DNN is computationally inexpensive and exhibits accuracy similar to those of conventional DNNs.