• 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 Society of Propulsion Engineers Conference
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• 2008.11a
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• pp.203-206
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• 2008

Kick motor(KM) for KSLV-I second stage propulsion system is the main hardware that is necessary for launching satellite to it's track. The mass of the kick motor changes with combustion time because the heat insulator is ablated and propellant is used and slag is piled up. We predicted mass change with the flight time using ground combustion data of KM composed of case, propellant, nozzle, ignitor and slag. The mass prediction of kick motor can be used for calculating the two stage mass and center of gravity history.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.9
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• pp.130-137
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• 1996

In the present paper the effect of various process conditions on the final weight of injection molded rectangular plates has been investigated in detail. The main parameters involved in the simulations were melt temperature, mold temperature, injection speed and packing pressure. The dimensions of the plate used were 100mm long, 2mm of width and polystyrene was used as a molding material. The shear viscosity of the polymeric material was treated as a function of shear rate, temperature and pressure through the whole processes including packing and cooling stages. By increasing a packing pressure the final weight of sample increased linearly. Furthermore, as the melt temperature, the mold temperature and the injection speed increased, the final weight of the injection molded plate decreased within the molding window.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.389-399
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• 1999

The purpose of this study was to identify children's mental models of the free-fall objects. This study examined children's prediction and observation about the free-fall of objects. The experimental procedure involved conducting interviews with first-, third-, fifth-, and seventh grade students. The interview had three phases: Prediction, explanation, and observation. During the prediction phase, the object pairs which varied on the dimensions of size, weight, shape, color were presented to students. The students were asked to predict what would happen if the objects were dropped simultaneously. During the explanation phase, the students were asked to explain how they arrived at their answers. During the observation phase, the students observed the free-fall of the object pairs and were asked to describe what they saw. The results showed as follows. (1) Fifth-and seventh grade students made more correct predictions than first- and third grade students. (2) The conflict problems, object pairs involving the dimensions of size and weight, were the most difficult for students to accurately predict. (3) With regard to observations, there was a non-significant effect of grade, indicating equivalence in the number of correct observations made by first-, third-, fifth-, and seventh graders. (4) The conflict problems were the most difficult for students to correctly observe. (5) First- and third grade students showed a significant difference between prediction and observation about the free-fall of objects. However. no difference was found in the fifth- and seventh grade students.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.858-860
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• 2019

본 논문에서 우리는 범함수 회귀모형을 이용한 양파의 성장단계별 무게를 예측할 수 있는 새로운 통계적 추정방법을 제안한다. 여기서 우리는 풍속, 평균온도, 강우량, 일조량 그리고 습도 등 나타내는 환경요인들을 설명변수들로 사용하고, 양파의 성장단계별 무게를 반응변수로 사용하여 범함수 회귀모형을 적용하였다. 먼저 그래프분석과 상관분석을 통하여 우리는 일일 평균온도는 양파의 무게 증진에 가장 큰 양의상관이 있고, 풍속이나 습도 그리고 일조량들은 양파의 성장에 약간의 영향력이 있으며 강우량은 양파의 성장에 전혀 도움이 안됨을 알 수 있었다. 두 번째로 범함수 회귀 분석을 통하여 얻어진 각 환경요인들에 대한 회귀계수들의 그림을 통하여 우리는 양파의 성장 기간 동안에 이들의 무게를 향상시키기 위해서는 어떻게 환경요인들을 관리해야 되는 가를 알 수 있는 재배방법을 유도하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.456-458
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• 2022

Due to the environmental regulations of the International Maritime Organization, shipyards are conducting various researches to improve the efficiency of ships, and efforts are being made to reduce the weight of ships. Recently, composite materials including CNT materials have the advantage of being able to reduce weight by 40% or more compared to general steel plate materials, and have the advantage of being able to be used as a substitute for ship clamps or door skins. Therefore, in this study, to predict the life of composite materials including CNT materials, the results were compared through the accelerated deterioration test method and the life prediction using machine learning techniques. The accelerated degradation test used the Arrhenius model equation, and the machine learning method predicted the life using a regression analysis algorithm.

• Korean Journal of Agricultural and Forest Meteorology
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• v.5 no.3
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• pp.179-184
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• 2003

This study investigated the relationship of fuel weight and depth together with slope on the spread of forest fire. Fire spread was faster on the greater slope in forested land. Fire had a greater spread rate with lighter fuel weight. The thickness of the fuel bed and forest fire spread rate were not related. The fire spread rate was closely related to the slope and weight of the fuel bed (significant at 0.01, 0.05, respectively). The thickness of the fuel bed was not significant (0.05).

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.191.2-191.2
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• 2012

저궤도 위성을 설계함에 있어 시스템 수준에서 수행하는 질량특성의 계산은 위성을 구성하는 각각의 구성품에 대한 정보를 종합하여 전체 시스템의 특성을 예측하는 작업이다. 질량특성에 대한 요구조건은 발사체로부터 설정되는데 요구조건 항목은 탑재체질량, 무게중심 그리고 관성모멘트에 관한 것이다 또한, 자세제어면에서 추력에 의한 토크에 따른 무게 중심 등이며 최근 위성의 고기동화 요구에 따라 기동요구조건 및 자세구동장치의 용량에 따라 결정된다. 특히 위성의 궤도형상 관성모멘트는 위성 동특성을 표시하므로 이를 사용하여 제어시뮬레이션을 수행하는 자세제어계에 주요 입력 데이터로 활용된다. 본 논문에서는 저궤도 위성의 질량특성 요구조건을 검증하기 위해 수행한 질량특성 예측과 질량특성 측정 시험에 대해서 기술하고자 한다.

• Journal of the Korea Computer Graphics Society
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• v.26 no.2
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• pp.11-19
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• 2020

When a character's pose changes, its center of mass(COM) also changes. The change of COM has distinctive patterns corresponding to various motion types like walking, running or sitting. Thus the motion type can be predicted by using COM movement. We propose a motion generator that uses character's center of mass information. This generator can generate various motions without annotated action type labels. Thus dataset for training and running can be generated full-automatically. Our neural network model takes the motion history of the character and its center of mass information as inputs and generates a full-body pose for the current frame, and is trained using simple Convolutional Neural Network(CNN) that performs 1D convolution to deal with time-series motion data.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.27-36
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• 2022

In this paper, to improve the conditions of the fish processing site, we propose a method to predict the cutting point of fish according to the target weight using AI machine vision. The proposed method performs image-based preprocessing by first photographing the top and front views of the input fish. Then, RANSAC(RANdom SAmple Consensus) is used to extract the fish contour line, and then 3D external information of the fish is obtained using 3D modeling. Next, machine learning is performed on the extracted three-dimensional feature information and measured weight information to generate a neural network model. Subsequently, the fish is cut at the cutting point predicted by the proposed technique, and then the weight of the cut piece is measured. We compared the measured weight with the target weight and evaluated the performance using evaluation methods such as MAE(Mean Absolute Error) and MRE(Mean Relative Error). The obtained results indicate that an average error rate of less than 3% was achieved in comparison to the target weight. The proposed technique is expected to contribute greatly to the development of the fishery industry in the future by being linked to the automation system.