• 대한기계학회논문집
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• 제16권12호
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• pp.2252-2260
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• 1992

본 연구에서는 사출금형의 공정설계 전문가시스템의 개발에 대한 연구의 일부 로서, 구체적으로는 구조가 비교적 간단하고 의사결정 규칙의 획득이 용이한 받침판이 없는 2단 사출금형을 대상으로 하여 CLIPS를 사용하여 개인용 컴퓨터에서 실행이 가능 한 공정설계 전문가시스템을 개발하여 실제 사출금형 공정설계에 적용하여 그 유효성 을 평가하였다.

• 한국터널지하공간학회 논문집
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• 제24권2호
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• pp.153-170
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• 2022

워터젯은 콘크리트와 암석 절삭에 적합하며 소음과 진동이 적어 도심지 시공에 널리 활용되는 기술이다. 최근 한국원자력연구원은 처분터널 내 공학적방벽의 열-수리-역학적 복합거동 현장시험의 콘크리트 플러그를 교란 및 손상 없이 해체하기 위해 연마재 워터젯 기술을 채택 및 적용하였다. 본 연구에서는 플러그 해체를 통한 연마재 워터젯의 터널 내 적용성을 평가하였고, 절삭 결과를 개발된 절삭 모델 결과와 비교하였다. 현장 적용성에 관해서는, 워터젯 활용은 경로선택이 용이하였으며 주변부의 추가적인 교란을 발생시키지 않았다. 펌프의 소음은 공회전 시 64.9 dB로 국내 생활소음·진동의 규제기준을 만족하였으나 공중 분사 및 절삭 시에는 터널 내에서 측정되어 그 기준을 상회한 것으로 나타났다. 절삭 모델 검증을 위해 연마재 워터젯의 반복 절삭, 유량, 연마재 투입량 및 이격거리를 주요 변수로 선정하였고 절삭 모델로 계산된 절삭 부피와 측정된 부피의 오차는 1회 절삭 시 12~13%, 2회 절삭 시 16%를 보였다. 절삭 깊이와 폭은 이격거리에 큰 영향을 받았으며, 이격거리가 작을수록 오차가 감소하는 경향을 보였다.

• 한국CDE학회논문집
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• 제3권3호
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• pp.168-176
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• 1998

This paper deals with an application on the mould machining of air intake hose product by using 3-dimensional parametric modeling techniques. The detailed domain is the 3-dimensional product with similar shapes and different sizes which needs too much working time for preparation of modeling or machining due to making a trial and errors repeatedly. Decision making rules for selection of modeling order and technique, and for calculation of cutting conditions, and for determination of sequence and method concerning machining operations are required by interview of expert engineers in the field. The developed expert system of modeling and machining is programmed by using a user programming language under the CAD/CAM software of the Personal Designer. The developed system that aids a mould engineer who is working in the modeling and machining section which deal with air intake hose product provides strong and useful capabilities.

• Journal of Biosystems Engineering
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• 제41권4호
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• pp.408-417
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• 2016

Purpose: Yield monitoring systems are an essential component of precision agriculture. They indicate the spatial variability of crop yield in fields, and have become an important factor in modern harvesters. The objective of this paper was to review research trends related to yield monitoring sensors for grain crops. Methods: The literature was reviewed for research on the major sensing components of grain yield monitoring systems. These major components included grain flow sensors, moisture content sensors, and cutting width sensors. Sensors were classified by sensing principle and type, and their performance was also reviewed. Results: The main targeted harvesting grain crops were rice, wheat, corn, barley, and grain sorghum. Grain flow sensors were classified into mass flow and volume flow methods. Mass flow sensors were mounted primarily at the clean grain elevator head or under the grain tank, and volume flow sensors were mounted at the head or in the middle of the elevator. Mass flow methods used weighing, force impact, and radiometric approaches, some of which resulted in measurement error levels lower than 5% ($R^2=0.99$). Volume flow methods included paddle wheel type and optical type, and in the best cases produced error levels lower than 3%. Grain moisture content sensing was in many cases achieved using capacitive modules. In some cases, errors were lower than 1%. Cutting width was measured by ultrasonic distance sensors mounted at both sides of the header dividers, and the errors were in some cases lower than 5%. Conclusions: The design and fabrication of an integrated yield monitoring system for a target crop would be affected by the selection of a sensing approach, as well as the layout and mounting of the sensors. For accurate estimation of yield, signal processing and correction measures should be also implemented.

• 한국산림과학회지
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• 제101권2호
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• pp.297-304
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• 2012

본 연구는 강원도 평창군 가리왕산 일대의 천연 활엽수림을 대상으로 작업방법별 시업 전과 시업 후의 임분구조의 변화를 평가함으로써 산림생태계 경영에 필요한 정보를 제공하고자 수행하였다. 이를 위해 $30m{\times}30m$(0.09 ha) 크기의 고정표본점을 각 작업방법별로 3반복으로 설치하고 시업 전과 시업 후의 정밀 임분조사를 실시하였다. 이와 같이 조사된 자료에 근거하여 집락도, 흉고직경 변이지수, 수고 변이지수, 그리고 혼효지수의 4가지 임분구조 지수를 추정한 후, 3가지 작업방법에 대한 시업 전과 시업 후의 임분구조 변화를 평가하였다. 본 연구에서는 각 작업방법별 그리고 시업 전후의 임분구조 변화에 대한 통계검정을 위해 Duncan의 다중검정과 t-검정을 실시하였다. 임분구조 지수를 분석한 결과 작업방법에 관계없이 시업을 통해 임분구조가 개선된 것으로 평가되었다. 또한 시업 전과 시업 후의 임분구조 지수는 통계적인 차이를 보여 각 작업방법별 임분의 공간 구조는 시업을 통해 개선된 것을 확인할 수 있었다. 각 작업방법별 목표 임분형으로 유도하기 위해서는 주기적인 모니터링과 추가적인 시업이 필요하다.

• 한국자동차공학회논문집
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• 제15권4호
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• pp.47-53
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• 2007

A bearing is one of core parts in automobile. Rubber seal of the bearing is important to improve performance of bearing, formed by hot-press die of rubber seal for the intricate shape. In this study, formed tools are used to machine die of bearing rubber seal and the machining operation is classified into the several process of high precision. Design of experiments is used to optimize selection of the formed tools for the efficient machining of the hot-press die. The cutting force, tool wear and tool life are determined to characteristics. And, the clearance angle, the rake angle and the length cutting edge are considered as the major factors. Experiments are repeated to use one-way factorial design, and tool life is predicted by regression model.

• 한국산림과학회지
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• 제103권4호
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• pp.613-621
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• 2014

본 연구는 강원도 평창군 가리왕산 일대의 천연 활엽수림을 대상으로 작업방법별 시업 전과 시업 후의 임분다양성 변화를 평가하여 산림생태계 경영에 필요한 정보를 제공하고자 수행하였다. 이를 위해 각 작업방법별로 $30m{\times}30m$(0.09 ha) 크기의 고정표본점을 3반복으로 설치하고 시업 전과 시업 후의 정밀 임분조사를 실시하였다. 이 자료에 근거하여 임분다양성 지수인 집락도, 흉고직경 변이지수, 수고 변이지수, 그리고 혼효지수와 관련된 2개씩의 지수, 총 8가지 지수를 추정한 후, 3가지 작업방법에 대한 시업 전과 시업 후의 임분다양성 변화를 평가하였다. 본 연구에서는 시업 전후의 임분다양성 변화에 대한 통계검정을 위해 Duncan의 다중검정과 t-검정을 실시하였다. 임분다양성 지수를 분석한 결과 작업방법에 관계없이 시업을 통해 임분구조가 개선된 것으로 평가되었다. 또한 시업 전과시업 후의 임분다양성 지수는 통계적인 차이를 보여 각 작업방법별 임분의 공간 구조는 시업을 통해 개선된 것을 확인할 수 있었다.

• 한국항공운항학회지
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• 제24권3호
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• pp.10-18
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• 2016

This paper deals with the Performance Based Logistics(PBL) application scheme pertaining to optimal maintenance program for logistics of Korean Fighter Experimental(KF-X) Project. For enhancement of the performance based logistics system application to KF-X program the selection of appropriate standards fit to maximize cost-cutting, a set of performance metrics fit for the purpose of the contract, foreign technology dependence of core equipments and parts were considered. Thus, selecting appropriate standards fit for Korean logistics environment, domestic maintenance enterprise for stable rate of operation of KF-X, a systematic reliability task that is able to measure quantitative combat capability are suggested.

• Medical Lasers
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• 제9권2호
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• pp.103-109
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• 2020

Transoral microsurgery has come a long way as a go-to surgical intervention technique for head and neck cancers. This minimally invasive procedure had gained acceptance through comparative clinical studies against radical neck surgical procedures, radiotherapy, and chemotherapy. Laser technology has vastly improved the oncological outcomes of this procedure and brought about an appreciation of transoral laser surgery (TLM) as a mainstay for re-sectioning malignant tumors along the throat. As an established procedure, TLM has undergone several upgrades regarding the different energy devices used for cutting, ablation, and hemostasis. Continued advances in automation have eventually led to surgical robotics, resulting in the emergence of transoral robotic surgery (TORS) as a viable advanced alternative for TLM. Similarly, expansions and enhancements (image-based guidance, fluorescence spectroscopy, and advanced robotic system) have also been investigated as potential upgrades for TORS. This paper reviews a selection of publications on the significant technological advancements to TLM and TORS over the past five years.

• 산업경영시스템학회지
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• 제40권4호
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• pp.253-259
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• 2017

Recent development in science and technology has modernized the weapon system of ROKN (Republic Of Korea Navy). Although the cost of purchasing, operating and maintaining the cutting-edge weapon systems has been increased significantly, the national defense expenditure is under a tight budget constraint. In order to maintain the availability of ships with low cost, we need accurate demand forecasts for spare parts. We attempted to find consumption pattern using data mining techniques. First we gathered a large amount of component consumption data through the DELIIS (Defense Logistics Intergrated Information System). Through data collection, we obtained 42 variables such as annual consumption quantity, ASL selection quantity, order-relase ratio. The objective variable is the quantity of spare parts purchased in f-year and MSE (Mean squared error) is used as the predictive power measure. To construct an optimal demand forecasting model, regression tree model, randomforest model, neural network model, and linear regression model were used as data mining techniques. The open software R was used for model construction. The results show that randomforest model is the best value of MSE. The important variables utilized in all models are consumption quantity, ASL selection quantity and order-release rate. The data related to the demand forecast of spare parts in the DELIIS was collected and the demand for the spare parts was estimated by using the data mining technique. Our approach shows improved performance in demand forecasting with higher accuracy then previous work. Also data mining can be used to identify variables that are related to demand forecasting.