• Proceedings of the KSME Conference
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• 2007.05a
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• pp.718-723
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• 2007

A three dimensional multibody modeling of a launcher system was developed and dynamic characteristics of the system was carried out. All the components were modeled as rigid bodies, All the components of system, ie; chassis, turret, cage and suspension parts, are modeled as rigid. The force interaction between the ground and tire was modeled as a point contact model. The factors were selected as cause and effect diagram of the MINITAB. To see effect of the stiffness, damping, mass at the launcher system, several cases of suspension parameters were compared and optimal values were selected. The stiffness and the damping coefficient were selected as design variables to minimize the required time for the next fire. The dynamic simulation was carried out using the ADAMS, and the MINITAB was employed for data analysis.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.17 no.1
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• pp.144-149
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• 2008

This study presents the selection of cutting conditions in high speed pipe cutting machine for the better quality. A high speed pipe cutting machine which uses a rotary knife can make good quality products in short time. But, the machine is much sensitive by cutting conditions because of the complicated mechanism. In this reason, many experiments for cutting condition selection are necessary to improve quality of production. This study carried out cutting experiments with the three factors that are cutting RPM, cutting force and pooling force. 2-dimensional profile measuring instrument is used to measure which is represented by ${\Delta}h$, a sum of burr and collapse height. The effects of factors are analyzed by using MINITAB, the commercial software.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.17 no.1
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• pp.35-42
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• 2008

By the reason of increased demand of high productivity and quality, the manufacturer have an effort in many directions of a machine tool industries. Among there, we proposed method of decreasing displacement in MC(machining center). In other words, Quality related with vibration of a tool cutting products. For decreasing it, improved by optimizing a shape of the column-part and acceleration curves of motors. In this paper we could find design factors has much influence on decreasing the displacement using the DOE(Design of Experiments) and optimized the level of the factors using $ADAMS^{(R)}$ and $MINITAB.^{(R)}$ And we suggest optimized a acceleration curve using $Matlab^{(R)}$.

• Journal of Electrical Engineering and Technology
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• v.3 no.2
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• pp.184-191
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• 2008

Electrical endurance is the critical characteristic of Magnetic contactors(MCs), which are widely used in such power equipment as elevators, cranes, and factory control rooms in order to close and open control circuits. Testing time, however, is not short in typical cases in which some method of reducing the testing period is required. This study shows the method of determining the stress level of electrical ALT(Accelerated Life Test) through optical temperature sensor and the relationship between 0.05 s and 0.1 s for on-time. The tool used for analyzing the test result is MINITAB. I will propose the method of determining the optimized stress level through optical temperature sensor, which will contribute to minimize the testing time and development period and also raise the product reliability.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.283-284
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• 2007

• 한국데이터정보과학회:학술대회논문집
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• 2003.10a
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• pp.177-180
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• 2003

본 연구에서는 자동차용 방열기의 수명분포를 일반적으로 기계류에 적용하는 와이블분포라 가정하고 실험실 데이터를 이용하여 추정한다. 방열기 수명시험시 고려해야할 요소를 방열량, 기밀성, 내압 성능, 압력캡 시험 등 11가지로 정하고 이에 대한 신뢰성 관점에서의 해석 및 MINITAB을 이용한 추정을 주요내용으로한다.

• Communications for Statistical Applications and Methods
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• v.5 no.1
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• pp.167-176
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• 1998

최근 들어 반복측정 자료에 대한 관심이 늘어나면서 이러한 자료를 분석하기 위한 통계패키지가 많이 개발되어 사용되고 있다. 본 논문에서는 연속형 반복측정 자료를 분석할 수 있는 통계모형들을 간단하게 개괄해보고 SAS, BMDP, S-PLUS, SPSS, MINITAB과 같은 통계 패키지 중에서 이러한 통계모형들을 다룰 수 있는 프로그램들을 정리해보고 그 특징들을 고찰해보았다. 그 중에서 특히 SAS의 PROC MIXED와 BMDP의 5V를 구체적으로 살펴보았다.

• Communications for Statistical Applications and Methods
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• v.1 no.1
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• pp.119-130
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• 1994

각종 통계패키지 내에 수용되어 있는 시계열 분석방법은 패키지의 특성이나 기능에 따라 다소 차이가 있다. 본 논문에서는 일반덕으로 많이 사용되고 있는 8종류의 통계패키지 (EXECUSTAT, MINITAB, RATS, SAS, SCA, S-PLUS, TSP)에서 시계열 분석이 어떻게 이루어지는지를 비교 검토하였다. 지수평활법과 ARIMA 모형에 의한 분석방법을 중심으로 비교하였으며, 아울러 사용자 관점에서 편리하고 보다 효율적인 패키지가 갖추어야 할 기능들을 제시하였다.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.1
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• pp.74-85
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• 2010

In order to formulate the compounded polypropylene(C-PP) which is suitable to an automotive door trim panel, 9 sorts of properties were measured after manufacturing the C-PP using an extruder and an injection machine with polypropylene(PP), ethylene-octene rubber(EOR) and talc. Mixture design, especially extreme vertices design, in DOE with MINITAB - commercial software was used to analyze the data. The relations between each property and each component, for example, $y=0.00907222x_1+0.00870556x_2+0.0155722x_3$ for specific gravity, were found out by the regression analysis and the variance analysis. The optimized formulation of the C-PP for an automotive door trim panel was acquired at PP(77.6962), EOR(11.0238) and talc(10.2800) by use of the response optimizer(mixture) in MINITAB.

• Journal of Institute of Convergence Technology
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• v.4 no.2
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• pp.27-33
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• 2014

To well design the solar energy system using solar energy, the correlation to calculate solar irradiation is basically needed. So, this study was performed to reveal the relationships between the solar irradiation and four meteorological observation data(dry bulb temperature, relative humidity, sunshine duration, and cloud cover) which are different from previous other researches. And then, we finally proposed the first order non-linear correlation from the measured solar irradiation using four meteorological observation data with MINITAB. To show the deviation of the solar irradiation between measured and calculated, this study compared using the daily total solar irradiance and the maximum peak value. From those results, the calculation error was estimated about maximum 25.4% for the daily total solar irradiance. The error of the solar irradiation between measured and calculated was made from the curve fitting error. So, solar irradiation prediction correlation with higher accuracy can be obtained using 2nd or higher order terms with four meteorological observation data.