• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1999.07a
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• pp.282-289
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• 1999

선별은 청과물을 포장하기 이전에 크기, 중량, 색깔등 정해진 규격에 따라 고르는 과정을 말하고, 크게 인력선별과 기계선별, 개별선별과 공동선별로 구분한다. 국내의 경우 아직까지도 수확된 청과물은 농가단위로 개별선별하고 있으며, 중량식 선별기를 이용하여 등급선별 한 후 15kg, 10kg 상자에 포장하는 것이 가장 일반적이다. 근래에 청과물의 부가가치를 높이기 위해서 중량에 색깔을 선별할 수 있는 기능을 추가한 기계시스템이 개발되어 산업화된 바 있다(최 등, 1997). 또한 근적외선 분광분석법을 이용하여 과일의 당도를 비파괴적으로 측정 선별할 수 있는 시스템이 개발 실용화 단계에 있다(이 등, 1998). (중략)

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.804-808
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• 1991

In a transfer line with mass production capability, calibration systems are included in the process as a separate dedicated station. However, this method is not appropriate in an unattended FMC with flexibility. As the FMC produces vesatile parts with small batch sizes, more flexible calibration systems are required. In this paper, a calibration/inspection system suitable for an unattended turning cell is introduced. The system has functions of dimension calibration of parts by touch probes, tool wear compensation, and quality monitoring of parts. Furthermore, characteristics of errors in the system are identified and corresponding compensation methodology is suggested. An operation software was developed for efficient use of the system.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.07a
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• pp.400-406
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• 2002

현대농업의 한 부분인 축산업은 우리나라 경제에 큰 비중을 차지하고 있다. 축산업의 자동화 및 무인화는 현재 농촌의 인력부족 문제를 해결할 뿐만 아니라, 우리 농민의 수익도 높일 수 있으며, 나아가서 우리 농업의 국제경쟁력을 제고할 수 있다. 영국 등 다른 선진국에서는 자국의 양돈농가를 위하여 돼지의 무게를 예측할 수 있는 돼지의 무게를 예측시스템을 개발하였다. 돼지 무게 예측시스템은 돼지의 무게를 예측할 수 있으므로 가격이 좋은 시기에 사육한 돼지를 출하함으로써 농가의 소득에 많은 기여를 하고 있다. 지금 우리 축산업 농가의 양돈업 기계화는 이미 실현되었으나 관리 자동화면에서 아직 많이 부족하다. 그 중에 하나가 바로 돼지의 무게 측정이다. (중략)

• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.618-620
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• 2000

거짓 공유(flase sharing) 및 추가적인 통신으로 인한 성능 저하를 방비하기 위해서 소프트웨어 분산공유메모리 시스템을 위한 다양한 메모리 모델들이 제안되었다. Scope Consitency 모델은 Brazos, JIAJIA와 같은 최근 시스템에 채택된 모델로서, consistency scope 개념을 사용해서 데이터와 동기화 변수 간의 관계를 자동으로 인식한다. 본 논문에서는 Scope Consistency 프로토콜의 설계, 구현, 그리고 성능 측정 결과에 관해서 설명한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.229-232
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• 2022

Recently, production of offshore fisheries in Korea has been decreasing. Since production of offshore fisheries in 2016 fell below 1 million tons for the first time in 44 years, it has not recovered and has been decreasing. In order to cope with such a decrease in fishery resources, the TAC (total allowable catch) system is implemented internationally for fisheries resource management. Since 1999, South Korea has introduced the TAC system to perform resource management. In this paper, we propose an artificial intelligence-based fish classification and weight estimation system that can be used to investigate fishery resources of land observers essential for the implementation of the TAC system. The system consists of an app and a cloud server that automatically measures the body size and height of fish and takes photos using a terminal equipped with a lidar sensor. In the cloud server, fish classification is performed using a CNN-based efficientnet model and the weight of fish is predicted using automatically measured body length and body height information. Using this system, it is possible to improve the existing method in which the land observer manually writes after measuring the tape measure and weight in the stomach market.

• Journal of Korean Library and Information Science Society
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• v.48 no.2
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• pp.215-236
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• 2017

The purpose of this study is to develop an automatic classification system for recommending appropriate books of 9 enneagram personality types, using book information data reviewed by librarians. Data used for this study are book review of 501 recommended titles for children and young adults from National Library for Children and Young Adults. This study is implemented on the assumption that most people prefer different types of books, depending on their preference or personality type. Performance test for two different types of machine learning models, nonlinear kernel and linear kernel, composed of 360 clustering models with 6 different types of index term weighting and feature selections, and 10 feature selection critical mass were experimented. It is appeared that LIBLINEAR has better performance than that of LibSVM(RBF kernel). Although the performance of the developed system in this study is relatively below expectations, and the high level of difficulty in personality type base classification take into consideration, it is meaningful as a result of early stage of the experiment.

• Journal of KSNVE
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• v.10 no.4
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• pp.623-628
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• 2000

This paper presents the automatic plumbness measuring system form improving the accuracy and working time for plumbness measuring of semi-umbrella type hydraulic turbine generator. It is general practice that rotating shaft should run within acceptable vibration limit. In order to obtain more accurate measuring data for single stage shaft on the semi-umbrella type, plumbness approach must be established carefully and accurately. Generally, present plumbness procedure is required several calculation algorithm, laser sensor and data acquisition devices. As a result of application to actual new system it is confirmed that working time could be saved over 80% and accurate measurement data could be acquired.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.373-376
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• 2007

As a part of automatic car parking, this paper have devised the distance measurement algorism using stereo vision system which measure between object and parking lot. In this simulation, laser pointer is used for detecting edge of designated object and real distance is measured by searching the position of laser pointer and measuring the distance. Which are 1 / 1.5 / 2 / 2.5 / 3m and adjusted correction had applied in order for use in car parking system.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.04b
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• pp.510-514
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• 1995

설계 초기 단계에서 자동차 샤시 부품의 내구강도를 평가하는 것은 대단히 중요하므로 실제 전산수치해석을 통하여 예측도 행하고 있지만 양산 적용여부는 차량제작 후 실차 내구시험을 시행 후 결정되고 있다. 본 연구에서는 컴퓨터의 잇점을 적극 활용하여, 차량의 주요부품인 Lower Arm과 Rear Axle Housing 등의 내구시험에서 부품의 변형을 탐지하기 위한 자동 측정 프로그램을 개발하고자 한다. 사용한 프로그램은 IBM-PC 호환기종(80286, 80386, 80486)에 사용되는 Turbo-C 언어를, 한글입력을 위해서 한글 라이브러리 <한>을 사용하였다. 그리고사용자가 임의로 시스템 각 요소의 모듈(module)을 대치할 수 있도록 각 함수별로 서브루틴(subroutine)화 하였다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.10 no.5
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• pp.71-77
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• 2001

On-machine measuring system of Numerically Control(NC) machines permit computer control of basic material cutting processes of moulds. A part of mould designed within a CAD/CAM system can be manufactured by generation of tool paths by the measuring systems. Since the three-dimensional geometry by AutoCAD of the part is contained in the data base, the manufacturing specialist combined with the appropriate software simulation, can not only create the commands to drive the virtual measuring and standardization of measuring modules but also can check for mistakes by viewing the computer graphics simulation of the tool cutting sequence.