• Design & Manufacturing
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• 제15권4호
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• pp.24-31
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• 2021

In this study, an artificial neural network model was constructed to convert CAE analysis data into similar experimental data. In the analysis and experiment, the injection molding data for 50 conditions were acquired through the design of experiment and random selection method. The injection molding conditions and the weight, height, and diameter of the product derived from CAE results were used as the input parameters for learning of the convert model. Also the product qualities of experimental results were used as the output parameters for learning of the convert model. The accuracy of the convert model showed RMSE values of 0.06g, 0.03mm, and 0.03mm in weight, height, and diameter, respectively. As the next step, additional randomly selected conditions were created and CAE analysis was performed. Then, the additional CAE analysis data were converted to similar experimental data through the conversion model. An artificial neural network model was constructed to predict the quality of injection molded product by using converted similar experimental data and injection molding experiment data. The injection molding conditions were used as input parameters for learning of the predicted model and weight, height, and diameter of the product were used as output parameters for learning. As a result of evaluating the performance of the prediction model, the predicted weight, height, and diameter showed RMSE values of 0.11g, 0.03mm, and 0.05mm and in terms of quality criteria of the target product, all of them showed accurate results satisfying the criteria range.

• 한국태양에너지학회 논문집
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• 제38권3호
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• pp.1-20
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• 2018

It is a very important and fundamental process to know accurately the intensity of the solar energy coming into the installed module considering the tilted angle. Europe and the US commonly use a program called PVsyst to convert the global horizontal irradiation to global irradiation on tilted plane. There are two types of models that PVsyst uses to convert to irradiation on tilted plane. In this paper, Perez model, which is a decomposition model and Perez model, which is a transposition model used in PVsyst, are applied based on global horizontal irradiation and global irradiation on tilted plane measured in a specific area. The comparison of the decomposition model shows the effect of the transpostion model on global irradiation on tilted plane conversion by comparing the ratio of the horizontal diffuse irradiation amount of the Watanabe model which are highly trusted in Asia and the Perez model. The comparison of transposition model confirm the error between the measured data and the calculated value which is applied Perez model to global horizontal irradiation decomposed by Perez model and Watanabe model. Based on the two comparisons, This paper propose a method to confirm the reliability of transposition model and reduce the error when PVsyst is used in Korea.

• 한국인터넷방송통신학회논문지
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• 제9권5호
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• pp.169-174
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• 2009

본 논문에서는 정확한 분석 모델을 제시할 수 있는 객체 모델링과 정형화 방법을 통해 개발자와 사용자간 효과적인 의사소통을 제공하고 객체모델의 정형화와 표준화에 필요한 형식명세로의 변환 규칙을 제안한다. 사용자의 요구에 따라 최적의 객체모델 선택을 위한 객체 모델 검색 프로토타입을 제시한다. 이를 통해서 적합한 모델을 선택할 수 있으므로 소프트웨어 개발시 비용과 노력을 최소화할 수 있다.

• 한국산업정보학회논문지
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• 제16권5호
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• pp.83-92
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• 2011

IDEF는 전통적인 구조적 소프트웨어 개발에 많이 사용된 방법론이다. 객체지향 소프트웨어가 널리 사용됨으로 이에 맞는 모델을 IDEF 개발 기관에서 제시한 것이 IDEF4다. UML은 객체지향 소프트웨어의 산업표준으로서 널리 이용되는 도구이다. IDEF는 CALS/EC 등에서 많이 사용하고 UML은 일반적인 객체지향 소프트웨어 개발할 때 많이 사용하기 때문에 소프트웨어 개발자들은 IDEF4모델의 표현법 보다는 UML의 표현법에 익숙하다. 또한 UML을 사용한 CASE 도구가 많이 개발되어 있어 IDEF4 모델을 UML 모델로 표현하면 이런 도구를 사용하여 소프트웨어 개발을 좀 더 효율적으로 할 수 있다. 본 논문은 IDEF4 모델을 UML 모델로의 변환하는 방법에 관하여 기술하였다. 변환 규칙을 제시하고 이를 사례에 적용하였다.

• 한국기계가공학회지
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• 제17권3호
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• pp.78-86
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• 2018

The 3D mesh model is used in various fields, such as virtual reality, shape-based searching, 3D simulation, reverse engineering, 3D printing, and laser scanning. There are various formats for the 3D mesh model, but STL and OBJ are the most typical. Since application systems support different 3D mesh formats, developing technology for converting 3D mesh models from one format into another is necessary to ensure data interoperability among systems. In this paper, we propose a method to convert a 3D mesh model in STL format into the OBJ format. We performed the basic design of the conversion system and developed a prototype, then verified the proposed method by experimentally converting an STL file into an OBJ file for test cases using this prototype.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1205-1208
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• 1996

This paper proposes balanced model reduction of non-minimum phase plant. The algorithm presented in this paper is to convert high-order non-minimum phase plant into low-oder minimum phase plant using balanced model reduction. Balanced model reduction requires the error bound that Hankel singular value produces. This algorithm shows the tolerance that admits the method of this paper.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.105-108
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• 1997

This paper proposes a new approach of balanced model reduction using matrix pencil. The algorithm presented in this paper is to convert full-rank high-order system into rank-deficient system using perturbation made by matrix pencil method. Then the system can be truncated to a low-order system that we want via balanced realization. We discuss the comparison with other methods and the various observations by simulations.

• 한국미생물·생명공학회지
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• 제27권2호
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• pp.96-101
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• 1999

Various side-chains are introduced to the 7-amino position of 7-aminocepha-losporanic acid (7-ACA) to make semi-synthetic cephalosporin antibiotics. In order to convert cephalosporin C (CPC) to 7-ACA, two enzymatic reactions are generally imployed. Glutary1-7-aminocephalosporanic acid (Gl-7-ACA) acylase is involved in the second step where the reaction intermediate, Gl-7-ACa is converted into 7-ACA. It was recently reported that CPC amidase can convert CPC directly into 7-ACA in a single enzymatic reaction. A study was undertaken to screen microorganisms conferring enzyme activity to convert Gl-7-ACA or CPC into 7-ACA by one or two enzymatic reactions. In order to screen the microorganisms rapidly, a non-$\beta$-lactam model compund, glutaryl-$\rho$-nitroanilide, was utilized in an early stage, thereafter the selected microorganisms were examined with real substrates. One microorganism exhibiting both Gl-7-ACA acylase and CPC amidase activities was obtained by the colorimetry method and HPLC assay, and was identified as a strain of Serratia species, designated as Serratia sp. N14.4. The optimal fermentation conditions for Serratia sp. N14.4 was pH9.0 and 3$0^{\circ}C$.

• 한국대기환경학회지
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• 제29권6호
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• pp.838-848
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• 2013

The Community Multiscale Air Quality (CMAQ) model is capable of providing high quality atmospheric chemistry profiles through the utilization of high-resolution meteorology and emissions data. However, it cannot simulate air quality accurately if input data are not appropriate and reliable. One of the most important inputs required by CMAQ is the air pollutants emissions, which determines air pollutants concentrations during the simulation. For the CMAQ simulation of Korean peninsula, we, in general, use the Korean National Emission Inventory data which are estimated by Clean Air Policy Support System (CAPSS). However, since they are not provided by model-ready emission data, we should convert CAPSS emissions into model-ready data. The SMOKE is the emission model we used in this study to generate CMAQ-ready emissions. Because processing the emissions data is very monotonous and tedious work, we have developed CAPSS2SMOKE program to convert CAPSS emissions into SMOKE-ready data with ease and effective. CAPSS2SMOKE program consists of many codes and routines such as source classification code, $PM_{10}$ to $PM_{2.5}$ ratio code, map projection conversion routine, spatial allocation routine, and so on. To verify the CAPSS2SMOKE program, we have run SMOKE using the CAPSS 2009 emissions and found that the SMOKE results inherits CAPSS emissions quite well.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.402-405
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• 2006

Radiometric calibration of optical image data is necessary to convert raw digital number (DN) value of each pixel into a physically meaningful measurement (radiance). To extract rather quantitative information regarding biophysical characteristics of the earth surface materials, radiometric calibration is often essential procedure. A sensor detects the radiation of sunlight interacted atmospheric constituents. Therefore, the amount of the energy reaching at the sensor is quite different from the initial amount reflected from the surface. To achieve the target reflectance after atmospheric correct, an initial step is to convert DN value to at-sensor radiance. A linear model, the simplest radiometric model, is applied to averaged spectral radiance for this conversion. This study purposes to analyze the sensitivity of several factors affecting on radiance for carrying out absolute radiometric calibration of panchromatic images from KOMPSAT2 launched at July, 2006. MODTRAN is used to calculate radiance at sensor and reflectance of target is measured by a portable spectro-radiometer at the same time the satellite is passing the target for the radiometric calibration. As using different contents of materials composing of atmosphere, the differences of radiance are investigated. Because the spectral sensitivity of panchromatic images of KOMPSAT2 ranges from 500 to 900 nm, the materials causing scattering in visible range are mainly considered to analyze the sensitivity. According to the verified sensitivity, direct measurement can be recommenced for absolute radiometric calibration.