In the manufacturing industry fields, thousands of quality characteristics are measured in a day because the systems of process have been automated through the development of computer and improvement of techniques. Also, the process has been monitored in database in real time. Particularly, the data in the design step of the process have contributed to the product that customers have required through getting useful information from the data and reflecting them to the design of product. In this study, first, characteristics and variables affecting to them in the data of the design step of the process were analyzed by decision tree to find out the relation between explanatory and target variables. Second, the tolerance of continuous variables influencing on the target variable primarily was shown by the application of algorithm of decision tree, C4.5. Finally, the target variable, loss, was calculated by a loss function of Taguchi and analyzed. In this paper, the general method that the value of continuous explanatory variables has been used intactly not to be transformed to the discrete value and new method that the value of continuous explanatory variables was divided into 3 categories were compared. As a result, first, the tolerance obtained from the new method was more effective in decreasing the target variable, loss, than general method. In addition, the tolerance levels for the continuous explanatory variables to be chosen of the major variables were calculated. In further research, a systematic method using decision tree of data mining needs to be developed in order to categorize continuous variables under various scenarios of loss function.

This study analyzes gestation stall structures with high strength concrete. The ANSYS program described in this paper is effective not only because it shows good accuracy but also it shows the goodness of parameter studies by using APDL(ANSYS Parametric Design Language). We have performed the various parameter studies by thickness change. The results is presented by using contours and tables. The analysis results showed that it was effective to increase the height thickness(tz) rather than longitudinal thickness(tx).

Because of environmental pollution and lack of resources, necessity of energy efficiency improvement and reduction of exhaust gas emission and CO2 have grown in importance. Therefore a lot of studies are conducted for HEV(hybrid electric vehicle) and PHEV(plug-in hybrid electric vehicle). In addition, automobile companies are researching and manufacturing HEV and PHEV. Due to cost and time problem, simulation is preferred than experimental test to find better component size for efficiency improvement. In this research, backward simulation program is developed base on Dynamic Programming. Using this simulation program, fuel economy sensitivities for each parameter are analyzed and compared. Fuel economy is measured for a combined cycle that is calculated from FTP-75 and HWFET cycle. The target parameters are front/rear power train efficiency, drag coefficient, vehicle mass, rolling resistance coefficient, tire radius, center of gravity. The most sensitive parameter is front power train efficiency and second is drag coefficient. Rear power train efficiency, vehicle mass, rolling resistance coefficient are third, forth and fifth. By comparing sensitivities, we can choose a better way to improve fuel economy of HEV.

The development of a high pressure cleaning system is needed to properly clean cargo hold and improve the working environment of a ship. For this, the study on the parameters related to the suitable capacity of a pressure pump should be preceded.

In this paper, the gait parameter detection system using an infrared rays elements was developed. This system consist of the transmission unit and receiver of an infrared LED light and the gait parameter were calculated by the non-transmission timing of infrared LED light from user’s leg movement Based on this method, we calculated the velocity of gait and gait stride of the person during the gait motion on the treadmill. To confirm the effectiveness of this system, we analyzed the real velocity of the treadmill using tachometer on treadmill compared with controlled velocity of treadmill.

In monitoring structural integrity of such structures as buildings and bridges via measuring ambient vibrations, a high precision accelerometer is required. In this study, a recently developed accelerometer with an accuracy with 10-5g is introduced and its improved ability of identifying modal parameters is analyzed through a numerical study. A 7-story building model is utilized in the numerical study and a wind load for simulating ambient vibration source is determined using the Kaimal spectrum. The frequency domain decomposition method is utilized for modal analysis.

수치한정발명은 공지발명에‘수치’라는 구성 이 개시되어 있지 않거나, 그 구성에 차이가 있음에 도 대부분 그 수치범위에 임계적 의의가 없다거나, 반복 실험에 의해 쉽게 도출할 수 있는 단순한 수치 한정에 불과하다는 이유로 특허성을 인정받지 못 한다. 그런데 최근 수정한정에 따른 임계적 의의가 없음에도 진보성이 인정된 대법원 판결들이 나타 나고 있고, 일본에서도 지적재산고등재판소가 생긴 이후 수치한정발명에서 진보성을 인정하는 사례들 이 많이 생겨나고 있다. 우리나라의 경우는 대부분 기술적 과제 내지 효 과의 이질성으로 인해 특허성이 인정되고 있지만, 일본의 경우는 임계적 의의로 인해 특허성이 인정된 사례도 있고, 또한, 효과의 이질성 내지 임계적 의의 가 없더라도 수치한정의 기술적 의의만으로 인해 특허성이 인정된 사례도 찾아볼 수 있다. 수치한정 을구성의곤란성관점에서바라볼때수치한정자체 에 기술적 의의가 있는 경우에는 해당 수치한정을 용이하게 도출할 수 있다고 볼 수 없기 때문에 우리 나라에서도 일본처럼 수치한정 자체에 기술적 의의 를 갖는 경우에도 특허성을 인정할 수 있도록 새로 운 판단기준을 마련해야 할 것이다 한편 수치한정을 수반하는 파라미터 발명의 경우 넓은 의미에서의 수치한정발명에 포함된다. 하지만 우리나라에서는 파라미터 발명에 관한 판 단기준을 수치한정발명의 판단기준과 별도로 제시 하고 있기 때문에 실무적으로 수치한정발명과 파 라미터 발명을 별도로 구분해서 특허성 여부를 판 단하고 있다. 그런데 이러한 이원론적인 접근 방법 은 특허성 판단 이전에 청구항에 기재된 발명이 파 라미터 발명인지 수치한정발명인지를 구분해야 하 기 때문에 심사관이나 심판관에게 부담이 될 수 있 고, 잘못된 판단을 초래할 가능성도 있다. 또한, 수 치를 포함한 발명이 수치를 한정하고 있는 대상(관 용적 파라미터인지 특수한 파라미터인지)에 따라서 그 판단방법이 달라진다는 것은 타당하다고 말하 기 어렵기 때문에 수치를 포함한 모든 발명에 공통 적으로 적용될 수 있는 통합적인 판단기준이 필요 하다고 본다. 이글에서제시된통합적인판단기준은현재의 판단기준을 그대로 따르면서도 수치한정발명이든 파라미터 발명이든 관계없이 하나의 판단기준만으 로 특허성 여부를 판단할 수 있도록 한 것이어서, 수치한정을 포함한 모든 발명의 특허성 여부를 좀 더 일관적이고 효율적으로 판단할 수 있게 될 것으 로 기대된다.

In industrial facilities sites, the conventional method determining the earthquake magnitude (M) using earthquake ground-motion records is generally not applicable due to the poor quality of data. Therefore, a new methodology is proposed for determining the earthquake magnitude in real-time based on the amplitude measures of the ground-motion acceleration mostly from S-wave packets with the higher signal-to-ratios, given the Vs30 of the site. The amplitude measures include the bracketed cumulative parameters and peak ground acceleration (As). The cumulative parameter is either CAV (Cumulative Absolute Velocity) with 100 SPS (sampling per second) or BSPGA (Bracketed Summation of the PGAs) with 1 SPS. The arithmetic equations to determine the earthquake magnitude are derived from the CAV(BSPGA)-As-M relations. For the application to broad ranges of earthquake magnitude and distance, the multiple relations of CAV(BSPGA)-As-M are derived based on worldwide earthquake records and successfully used to determine the earthquake magnitude with a standard deviation of ±0.6M.

The object of this study is concerned about the optimal design of the supporting frame in a twist screen. Twist screen is widely used for grading and screening materials in the fields such as coal-selecting, mining-selecting, building materials, electrical power and chemical industry, etc. It is composed of base, supporting frame, vibrator, screen, spring, trough, clamp and etc. Especially, supporting frame in twist screen are stressed by high load, mostly it is shock-type loads. Nevertheless, design of base is dependent on experience, and it will cause reliability reduction and cost increase. The supporting plate is composed by the upper plate, the bracket and etc. This research purpose is to propose and verify a method to achieve higher product quality, lower costs, and far less physical testing. In this study, design parameters used for optimization are the upper plate thickness(8㎜, 10㎜, 12㎜) and the bracket thickness(8㎜, 10㎜, 12㎜) in the supporting frame. The result showed that base weight reduced to maximum 25.8% when compared with the current twist screen.

본 연구는 음성 인식기에서 일반적으로 사용되는 음향적 특징인 MFCC, LPC, 에너지, 피치 관련 파라미터들을 이용하여 자연스러운 음성의 정서를 범주 및 차원으로 얼마나 잘 인식할 수 있는지 살펴보았다. 자연스러운 정서 반응 데이터를 얻기 위해 선행 연구에서 이미 타당도와 효과성이 밝혀진 정서 유발 자극을 사용하였고, 110명의 대학생들에게 7가지 정서 유발 자극을 제시한 후 유발된 음성 반응을 녹음하여 분석에 사용하였다. 각 음성 데이터에서 추출한 파라미터들을 독립변인으로 하여 선형 판별 분석(LDA)으로 7가지 정서 범주를 분류하였고, 범주 분류의 한계를 극복하기 위해 단계별 다중회귀(stepwise multiple regression) 모형을 도출하여 4가지 정서 차원(valence, arousal, intensity, potency)을 가장 잘 예측하는 음성 특징 파라미터를 산출하였다. 7가지 정서 범주 판별율은 평균 62.7%이었고, 4 차원 예측 회귀모형들도 p<.001수준에서 통계적으로 유의하였다. 결론적으로, 본 연구 결과는 자연스러운 감정의 음성 반응을 분류하는데 유용한 파라미터들을 선정하여 정서의 범주와 차원적 접근으로 정서 분류 가능성을 보였으며 논의에 본 연구의 개선방향에 대해 기술하였다.

It was compared the estimated parameters by the surplus production from three different models, i.e., three types (Schaefer, Gulland, and Schnute) of the traditional surplus production models, a stock production model incorporating covariates (ASPIC) model and a maximum entropy (ME) model. We also evaluated the performance of models in the estimation of their parameters. The maximum sustainable yield (MSY) of small yellow croaker (Pseudosciaena polyactis) in Korean waters ranged from 35,061 metric tons (mt) by Gulland model to 44,844mt by ME model, and fishing effort at MSY (fMSY) ranged from 262,188hauls by Schnute model to 355,200hauls by ME model. The lowest root mean square error (RMSE) for small yellow croaker was obtained from the Gulland surplus production model, while the highest RMSE was from Schnute model. However, the highest coefficient of determination (R2) was from the ME model, but the ASPIC model yielded the lowest coefficient. On the other hand, the MSY of Kapenta (Limnothrissa miodon) ranged from 16,880 mt by ASPIC model to 25,373mt by ME model, and fMSY, from 94,580hauls by ASPIC model to 225,490hauls by Schnute model. In this case, both the lowest root mean square error (RMSE) and the highest coefficient of determination (R2) were obtained from the ME model, which showed relatively better fits of data to the model, indicating that the ME model is statistically more stable and robust than other models. Moreover, the ME model could provide additional ecologically useful parameters such as, biomass at MSY (BMSY), carrying capacity of the population (K), catchability coefficient (q) and the intrinsic rate of population growth (r).

When it comes to designing a product or a process, the robust parameter design (RPD) methodology devised by Taguchi is recognized as a way to produce products or processes with less variability, while the specifications of products or processes are met, so that the ratio of nonconforming products can be as minimized as possible. Nevertheless, as a matter of fact, there have been many pros and cons concerning the RPD method, mainly because of the use of signal to noise ratio as the measure of quality characteristic. Meanwhile, the variability analysis method has been highly recommended as an alternative of the RPD in the literature. In this paper, it is demonstrated that RPD can also be implemented within the framework of the variability analysis, which is sounder in the statistical sense. In light of an example of RPD approach, the modeling and estimation procedure is discussed in some detail with a view to a comparison of the two methods.

이 연구에서는 추계학적 그린함수법에 의한 단층 모델을 이용하여 지진파를 합성하고 단층 파라미터의 변화에 의한 지반 운동의 차이를 평가하였다. 모멘트 규모 6.5의 단층을 예제로 선정하였고 아스페리티 면적의 통계값을 이용하여 슬립의 분포를 모델링하였다. 평가를 위해 고려된 단층 파라미터들은 진원의 위치, 전단파 속도 대비 파열 전파속도 비, 상승시간, 절점주파수 그리고 고주파감쇠 필터 등 이었다. 요소지진원에 적용된 파라미터들은 구조권역별 특성이 다른 지역의 값을 사용하였고 다른 파라미터들은 발생 가능한 임의의 값을 사용하였다. 생성된 지반운동 시간이력으로부터 응답스펙트럼을 작성하였으며, 파라미터의 값을 달리하여 비교하였다.이로부터 각각의 단층파라미터에 의해 영향을 받는 주파수 구간 및 스펙트럼 가속도의 차이를 평가하였다.

스마트폰, 셀폰과 같이 휴대가 간편한 포터블 카메라를 포함하여, DSLR 카메라 등 최근 카메라와 3D 입체에 대한 관심이 괄목할 정도로 증가추세에 있다. 하지만 단일 카메라로부터 획득된 단일 영상과 다중 디스페러티를 적용한 3D 재구성 방법에 대한 연구는 비교적 활발하지 못하다. 본 논문에서는 단일 영상으로부터 다중 디스페러티 파라미터를 적용한 Multi-view 3D 장면 재구성 방법을 제안한다. 다수의 카메라에 의한 영상획득 방법으로 3D 입체 장면을 재구성하는 기존의 방법에 비해 하드웨어의 구성이 필요 없는 편리한 3D 장면 재구성 방법이다. 실험결과를 제시하여 제안방법의 타당성을 제시하였다.

현재 해상교통안전진단제도 평가요소의 하나인 해상교통혼잡도에 대한 산출 파라미터에 대하여 분석하여 보다 정확한 해상교통혼잡도 평가가 이루어질 수 있는 기초 자료를 제공하고자 한다. 이 해상교통 혼잡도는 선박길이, 점용영역, 선속, 항로폭 등이 고려되어야 하지만 현재 선박길이 및 점용영역에 대하여는 일반적으로 정해진 표준선형길이를 이용하여 평가되고 있다. 이러한 해상교통혼잡도에 영향을 미치는 파라 미터 변화에 따른 문제를 제기하고자 한다.

The study of wave propagation and scattering in biological media has become increasingly important in recent years. The propagation of light within tissues is an important problem that confronts the dosimetry of therapeutic laser delivery and the development of diagnostic spectroscopy. In the clinical application of photodynamic therapy(PDT) and in photobiology, the photon deposition within a tissue determines the spatial distribution of photochemical reactions. Scattered light is measured as a function of the distance (r) between the axis of the incident beam and the detection spot. Consequently, knowledge of the photosensitizer(Chlorophyll-a) function that characterizes a phantom is measured. To obtain the results of scattering coefficients(μs) of a turbid material from diffusion described by experimental approach. It was measured the energy fluency of photon radiation at the position of penetration depth. From fluorescence experimental method obtained the analytical expression for the scattered light as the values of (I/Io)wavelength vs the distance between the center of the incident beam and optical fiber in terms of the condition of "in situ spectroscopy(optically thick)" and real time by fluorometric measurements. The result was compromised with transport of intensities though a random distribution of scatters.

Poisson model and Gamma-Poisson model are popularly used to analyze statistical behavior from defective data. The methods are based on binary criteria, that is, good or failure. However, manufacturing industries prefer polytomous criteria for classifying

Negative binomial yield model for semiconductor manufacturing consists of two parameters which are the average number of defects per die and the clustering parameter. Estimating the clustering parameter is quite complex because the parameter has not clear