• Journal of Korean Society of Industrial and Systems Engineering
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• v.10 no.16
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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.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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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.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.558-568
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• 2000

In the paper, we propose the automatic generation method of digital elevation map based on contour map. The proposed method classifies contour data and non-contour data by thinning and labelling process of the contour line and then connects smoothly broken contour line by Bezier curve. Finally, the digital devation map is generated by the interpolation using the height data of the contour line. The proposed method can reduce vest effort, time and expense which is spend to make digital elevation map.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.41-44
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• 2000

In this paper, the dedicated short range communication(DSRC) system which used as the automatic gate system(AGS) Donga Univ. RRC developed is applied to yard automation. We proposed the communication algorithm of between roadside equipment(RSE) and on-board equipment(OBE). We analyzed transmitted and received information, classification and feature of between OBE and RSE for automation of the container yard and unloading system.

• Journal of Information Processing Systems
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• v.14 no.3
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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.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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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.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.149-152
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• 2019

As pet- one-person households increase, conditions must be developed to be easy to manage, but are still slow. In the case of single-person households, they have difficulty in feeding their food in case of unexpected situations such as appointments and night shifts. The above works can be distributed remotely regardless of time and place through the application. In addition, the addition of automatic booking service makes it possible to provide more convenience and improve the conditions.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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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.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2003.03a
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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.

• Journal of Sensor Science and Technology
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• v.30 no.1
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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.