• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2007년도 제38회 하계학술대회
• /
• pp.38-39
• /
• 2007

Recently, utility network is becoming more and more complicated and huge due to IT(Information Technology) and OA(Office Automation) devices. In addition to, demands of power conversion devices which have non-linear switching devices are getting more and more increased. Voltage sag from sudden increasing loads is also one of the major problems inside of the utility network. In order to compensate the voltage sag problem, power compensation devices systems could be a good solution method. In case of voltage sag, it needs an energy source to overcome the energy caused by voltage sag. Superconducting Magnet Energy Storage (SMES) is a very good promising source due to the high response time of charge and discharge. This paper presents a real-time simulation algorithm for the SMES by using Real Time Digital Simulator (RTDS). With this algorithm users can easily do the simulation of utility power network applied by SMES system with the SMES coil modeled in RTDS.

• 전기학회논문지
• /
• 제66권12호
• /
• pp.1772-1781
• /
• 2017

In this study, the design methodology for alleviating the overfitting problem of Polynomial Neural Networks(PNN) is realized with the aid of two kinds techniques such as L2 regularization and Sum of Squared Coefficients (SSC). The PNN is widely used as a kind of mathematical modeling methods such as the identification of linear system by input/output data and the regression analysis modeling method for prediction problem. PNN is an algorithm that obtains preferred network structure by generating consecutive layers as well as nodes by using a multivariate polynomial subexpression. It has much fewer nodes and more flexible adaptability than existing neural network algorithms. However, such algorithms lead to overfitting problems due to noise sensitivity as well as excessive trainning while generation of successive network layers. To alleviate such overfitting problem and also effectively design its ensuing deep network structure, two techniques are introduced. That is we use the two techniques of both SSC(Sum of Squared Coefficients) and $L_2$ regularization for consecutive generation of each layer's nodes as well as each layer in order to construct the deep PNN structure. The technique of $L_2$ regularization is used for the minimum coefficient estimation by adding penalty term to cost function. $L_2$ regularization is a kind of representative methods of reducing the influence of noise by flattening the solution space and also lessening coefficient size. The technique for the SSC is implemented for the minimization of Sum of Squared Coefficients of polynomial instead of using the square of errors. In the sequel, the overfitting problem of the deep PNN structure is stabilized by the proposed method. This study leads to the possibility of deep network structure design as well as big data processing and also the superiority of the network performance through experiments is shown.

• 조명전기설비학회논문지
• /
• 제20권6호
• /
• pp.55-62
• /
• 2006

본 논문에서는 3상 유도전동기의 고장진단을 수행하기 위해 패턴인식에 기반을 둔 진단 알고리즘을 제안한다. 실험 장치는 유도전동기 구동의 기계적 모듈과 고장신호를 구하기 위한 데이터 획득 모듈로 구성하였다. 진단 절차를 위한 첫 번째 단계로서 전처리 과정은 획득한 전류를 단순화하고 정규화 하는 것을 수행한다. 데이터의 단순화 과정은 3상전류를 Concrodia 벡터의 크기로 변환하는 것을 적용한다. 다음으로 특징 추출 단계를 커널 주성분 분석과 선형판별분석으로 수행하며, 마지막으로, 분류기는 방사기저함수 네트워크를 사용한다. 다양한 부하에 대하여 몇몇의 전기적 고장과 기계적 고장 하에서 획득한 데이터를 이용하여 제안된 방법의 타당성을 검증한다.

• 한국정보통신학회논문지
• /
• 제21권8호
• /
• pp.1560-1566
• /
• 2017

최근 사물 인터넷 센서가 설치된 스마트 돈사의 보급을 통해 돈사 관련 빅데이터 축적이 가능해졌고, 다양한 기계 학습방안들이 수집된 데이터에 적용되어 축산농가의 생산성을 향상시키고 있다. 본 연구에서는 다양한 기계학습 방안을 이용하여 돈사관리에서 가장 중요한 요소 중 하나인 급수량을 예측하였다. 구체적으로 실제 돈사에서 수집된 데이터에 회귀 방안인 선형회귀, 회귀트리 및 아다부스트 회귀 방안과 분류 방안인 로지스틱 분류, 결정트리 및 서포트 벡터 머신 (SVM) 분류방안을 적용하여 돈사의 온도와 습도를 기반으로 급수량을 예측하였다. 성능 분석을 통해서 제안한 방안이 높은 정확도로 급수량을 예측하는 것을 확인할 수 있었다. 제안한 방안은 돈사의 급수시설 이상을 조기에 파악하는데 활용되어 가축을 폐사를 막고 돈사 생산성을 높이는데 활용될 수 있다.

• Restorative Dentistry and Endodontics
• /
• 제40권2호
• /
• pp.128-135
• /
• 2015

Objectives: This study evaluated the effects of the resin thickness on the microhardness and optical properties of bulk-fill resin composites. Materials and Methods: Four bulk-fill (Venus Bulk Fill, Heraeus Kulzer; SDR, Dentsply Caulk; Tetric N-Ceram Bulk Fill, Ivoclar vivadent; SonicFill, Kerr) and two regular resin composites (Charisma flow, Heraeus Kulzer; Tetric N-Ceram, Ivoclar vivadent) were used. Sixty acrylic cylindrical molds were prepared for each thickness (2, 3 and 4 mm). The molds were divided into six groups for resin composites. The microhardness was measured on the top and bottom surfaces, and the colors were measured using Commission Internationale d'Eclairage (CIE) $L^*a^*b^*$ system. Color differences according to the thickness and translucency parameters and the correlations between the microhardness and translucency parameter were analyzed. The microhardness and color differences were analyzed by ANOVA and Scheffe's post hoc test, and a student t-test, respectively. The level of significance was set to ${\alpha}=0.05$. Results: The microhardness decreased with increasing resin thickness. The bulk-fill resin composites showed a bottom/top hardness ratio of almost 80% or more in 4 mm thick specimens. The highest translucency parameter was observed in Venus Bulk Fill. All resin composites used in this study except for Venus Bulk Fill showed linear correlations between the microhardness and translucency parameter according to the thickness. Conclusions: Within the limitations of this study, the bulk-fill resin composites used in this study can be placed and cured properly in the 4 mm bulk.

• 정보처리학회논문지A
• /
• 제13A권4호
• /
• pp.305-316
• /
• 2006

현재의 거의 대부분의 3차원 그래픽 프로세서는 한 개의 삼각형을 빠르게 처리하는 구조로 되어 있으며, 향후 여러 개의 삼각형을 병렬적으로 처리할 수 있는 프로세서가 등장할 것으로 예상된다. 고성능으로 삼각형을 처리하기 위해서는 각 래스터라이저마다 고유한 픽셀 캐시를 가져야 한다. 그런데, 병렬로 처리되는 경우 각각의 프로세서와 프레임 메모리 간에 일관성 문제가 발생할 수 있다. 본 논문에서는 각각의 그래픽 가속기에 픽셀 캐시를 사용가능 하게 하면서 성능을 증가시키고 일관성 문제를 해결하는 병렬 렌더링 프로세서를 제안한다. 제안하는 구조에서는 픽셀 캐시 미스에 의한 지연(latency)을 감소시켰다. 이러한 2가지 성과를 위하여 현재의 새로운 픽셀 캐시 구조에 효과적인 메모리 구조를 포함시켰다. 실험 결과는 제안하는 구조가 16개 이상의 래스터라이저에서 거의 선형적으로 속도 향상을 가져옴을 보여준다.

• 한국전기전자재료학회논문지
• /
• 제27권12호
• /
• pp.815-819
• /
• 2014

Aluminum nitride (AlN) thin film and TiN film as a buffer layer were deposited on INCONEL 600 substrate by reactive RF magnetron sputtering at room temperature(R.T.) under 25~75% $N_2/Ar$ atmosphere. The as-deposited AlN films at 25~50% $N_2/Ar$ showed a polycrystalline phase of hexagonal AlN, and an amorphous phase. The peak of AlN (002) plane, which was determinant on a performance of piezoelectric transducer, became strong with increasing the $N_2/Ar$ ratio. Any change in the preferential orientation of the as-deposited AlN films was not observed within our $N_2$ concentration range. The piezoelectric sensing properties of AlN module were performed using pressure-voltage measurement system. The output signal voltage of AlN module showed a linear behavior between 20~80 mV in 1~10 MPa range, and the pressure-sensing sensitivity was calculated as 3.6 mV/MPa.

• 한국운동역학회지
• /
• 제15권3호
• /
• pp.79-94
• /
• 2005

Because the golf swing is very complex movement, it is varied in different gender, skill level, and club. This study measured kinematic variables in golf swing regarding gender, skill level, and club types using FasTrak electromagnetic tracking system. Golf swing kinematics including time variables, linear and angular displacement variables, angular velocity variables were analyzed and compared through three-way ANOVA The results were as follows: 1. In time variables, Female and driver showed longer backswing time than male and iron. Downswing time was longer in female and nonexperts than male and experts. Backswing time over downswing time was longer in experts than nonexperts. Uncocking time was longer in male and experts than female and nonexperts. The differences were statistically significant (p<.05). 2. In displacement variables, Female and nonexperts showed greater backswing head lift than male and experts. Impact head lift was greater in female, nonexperts, and iron than male, experts, and driver. The differences were statistically significant (p<.05). Experts and driver showed greater top hip rotation angle than nonexperts and iron. Top shoulder rotation angle was greater in male, experts and driver than female, nonexperts, and iron. X-factor was greater in male, experts, and driver than female, nonexperts, and iron. Male and experts showed greater backswing hip sway than female and nonexperts. Impact hip sway was greater in male and iron than female and driver. The differences were statistically significant (p<.05). 3. In velocity variables, Experts displayed higher impact hip rotation velocity than nonexperts. Impact shoulder rotation velocity was greater in male and iron than female and driver (p<.05).

• 한국강구조학회 논문집
• /
• 제18권2호
• /
• pp.173-180
• /
• 2006

구조물의 지진응답은 기초지반조건의 영향을 받는다. 이 연구에서는 고정지반과 연약지반을 고려한 3, 5, 7층 철골 건축구조물의 밑면전단력을 산정하기 위해 선형 시간이력지진해석과 비선형 Pushover 정적지진해석을 수행하였다. 등가정적강성식으로 구한 기초지반강성은 SAP2000의 Link 요소 중 Damper 요소를 사용하여 입력하였다. 범용구조해석 프로그램 SAP2000에 의한 시간이력으로 구한 철골건축구조물의 밑면전단력을 국내내진설계기준, UBC-97 설계응답스펙트럼, Pushover 정적 비선형해석으로 구한 밑면전단력과 비교하였다. 중력하중과 풍하중으로 설계된 철골 건축구조물은 0.11g의 중진에 대해 탄성응답을 보였고, 탄성 연약지반에서 구조물-지반의 상호작용과 지반 증폭에 의해 구조물의 변위와 밑면전단력이 증가되었다. 따라서, 중약진 지역에서의 건축구조물은 연약지반의 특성을 고려하여 탄성지진해석을 수행하는 것이 더 합리적이다.

• 한국토양비료학회지
• /
• 제47권4호
• /
• pp.235-241
• /
• 2014

A ground-based microwave scatterometer has an advantage for monitoring soil moisture content using multi-polarization, multi-frequencies and various incidence angles. In this paper, ground-based multi-frequency (L-, C-, and X-band) polarimetric scatterometer system capable of making observations every 10 min was used to monitor the soil moisture conditions in a corn field over an entire growth cycle. Measurements of volumetric soil moisture were obtained and their relationships to the backscatter observations were examined. Time series of soil moisture content was not corresponding with backscattering coefficient pattern over the whole growth stage, although it increased until early July (Day Of Year, DOY 160). We examined the relationship between the backscattering coefficients from each band and soil moisture content of the field. Backscattering coefficients for all bands were not correlated with soil moisture content when considered over the entire stage ($r{\leq}0.48$). However, L-band Horizontal transmit and Horizontal receive polarization (HH) had a good correlation with soil moisture ($r=0.85^{**}$) when LAI was lower than 2. Prediction equations for soil moisture were developed using the L-HH data. Relation between L-HH and soil moisture shows linear pattern and related with soil moisture content ($R^2=0.77$). Results from this study show that backscattering coefficients of microwave scatterometer appear to be effective to estimate soil moisture content in the field level.