• 제목/요약/키워드: reference level

검색결과 2,451건 처리시간 0.033초

5.56밀리 소화기탄 탄자 코어 재질 변경에 따른 동심탄의 탄도호환성 분석 (Ballistic Match Analysis for 5.56 MM Bullet with New Copper Core Material)

  • 고용신;박용덕
    • 한국군사과학기술학회지
    • /
    • 제19권6호
    • /
    • pp.712-720
    • /
    • 2016
  • The purpose of this study was to inspect ballistic match of copper bullet at 4 points by analyzing vertical deviation about shot group of the 5.56 mm common bullets and copper bullets. The 5.56 mm bullet with new copper core material was developed for mitigation of environmental pollution and harmfulness to human body. The results of this study are as follows; using the regression analysis, estimated reference value of ballistic match were 51.6 mm, 64.9 mm, 87.3 mm and 99.6 mm at 25 m, 100 m, 200 m and 250 m range respectively. When analyzing the shooting test data, alternative hypothesis(The vertical deviations are less than the reference value) was adopted as the result of analyzing data using t-test. And the values of data through tool(PRODAS) and standard trajectory equation meet requirements of estimated ballistic match respectively. In conclusion, the level of ballistic match of 5.56 mm copper bullets meets the estimated reference level through regression analysis at 4 points.

인쇄 회로 기판의 결함 검출 및 인식 알고리즘 (A neural network approach to defect classification on printed circuit boards)

  • 안상섭;노병옥;유영기;조형석
    • 제어로봇시스템학회논문지
    • /
    • 제2권4호
    • /
    • pp.337-343
    • /
    • 1996
  • In this paper, we investigate the defect detection by making use of pre-made reference image data and classify the defects by using the artificial neural network. The approach is composed of three main parts. The first step consists of a proper generation of two reference image data by using a low level morphological technique. The second step proceeds by performing three times logical bit operations between two ready-made reference images and just captured image to be tested. This results in defects image only. In the third step, by extracting four features from each detected defect, followed by assigning them into the input nodes of an already trained artificial neural network we can obtain a defect class corresponding to the features. All of the image data are formed in a bit level for the reduction of data size as well as time saving. Experimental results show that proposed algorithms are found to be effective for flexible defect detection, robust classification, and high speed process by adopting a simple logic operation.

  • PDF

Protein Electrophoresis Fraction in Serum of the Rural Elderly Patient

  • Kim Chong-Ho;Park Chung-Oh;Kang Young-Tae;Park Seung-Taeck
    • 대한의생명과학회지
    • /
    • 제12권3호
    • /
    • pp.197-200
    • /
    • 2006
  • We analyzed total protein (TP), albumin (AL), aspartic aminotransferase (AST), alanine aminotransferase (ALT), urea nitrogen (UN), creatinine (CRE) and serum protein electrophoretic fractions in sera of rural elderly patients to evaluate the health status in rural elderly patients. We observed that the frequencies of patients showed lower level of total protein, albumin, and both total protein and albumin than them of reference range were 20.3%, 22.8% and 19.0%, respectively. The rates of patients showed higher level of AST, ALT, both of AST and ALT, UN, creatinine and both of UN and creatinine than them of reference range were 33.8%, 40.0%, 30.0%, 17.7%, 15.2% and 7.9%, respectively. Comparison of protein fractions of each patient to reference range showed that 77.2% of patients showed normal in all of patterns. Few of patients showed abnormal pattern in albumin (13.6%), ${\alpha}1-globulin (0.0%),\;{\alpha}_2-g10bulin(1.1%),\;{\beta}-globulin(1.9%)\;and\;{\gamma}-globulin(6.2%)$. These data suggest that many of rural elderly patients may suffer from heart, liver and kidney diseases. The serum protein fractions are not typical criterion to evaluate the disease, but production of proteins in rural elderly patients may be affected by liver disease and kidney disease.

  • PDF

Electrical Leakage Levels Estimated from Luminescence and Photovoltaic Properties under Photoexcitation for GaN-based Light-emitting Diodes

  • Kim, Jongseok;Kim, HyungTae;Kim, Seungtaek;Choi, Won-Jin;Jung, Hyundon
    • Current Optics and Photonics
    • /
    • 제3권6호
    • /
    • pp.516-521
    • /
    • 2019
  • The electrical leakage levels of GaN-based light-emitting diodes (LEDs) containing leakage paths are estimated using photoluminescence (PL) and photovoltaic properties under photoexcitation conditions. The PL intensity and open-circuit voltage (VOC) decrease because of carrier leakages depending on photoexcitation conditions when compared with reference values for typical LED chips without leakage paths. Changes of photovoltage-photocurrent characteristics and PL intensity due to carrier leakage are employed to assess the leakage current levels of LEDs with leakage paths. The current corresponding to the reduced VOC of an LED with leakage from the photovoltaic curve of a reference LED without leakage is matched with the leakage current calculated using the PL intensity reduction ratio and short-circuit current of the LED with leakage. The current needed to increase the voltage for an LED with a leakage under photoexcitation from VOC of the LED up to VOC of a reference LED without a leakage is identical to the additional current needed for optical turn-on of the LED with a leakage. The leakage current level estimated using the PL and photovoltaic properties under photoexcitation is consistent with the leakage level measured from the voltage-current characteristic obtained under current injection conditions.

도시주부의 상표이미지 및 상표선호도에 따른 구매행동에 관한 연구 (A Study On Housewives' Purchasing Behavior by Brand Image and Brand Preference)

  • 강기정;계선자
    • 가정과삶의질연구
    • /
    • 제9권1호통권17호
    • /
    • pp.145-160
    • /
    • 1991
  • The purpose of this study is to suggest some fundamental data for the welfare of consumers by investigation some characteristics of the housewives and their attitudes toward a famous brand. For the purpose of this study, the samples were distributed to houswives who lived in Seoul. The 493 data obtained were analyzed by frequency distribution, percentile, $X^2$-test, t-test, F-test, Pearson's correlation, Duncan's multiple range test and Stepwise multiple regression analysis. The major finding were follows ; The major finding were follows ; 1) In general the score for the brand preference of the housewives was somewhat high. There were significant differences between the brand preference of the housewives and the socio-demographic, reference group variables. 2) There were significant differences between the brand image of housewives and the socio-demographic, reference group variables 3) In general the score for the dissatisfaction of the housewives was somewhat low. There were significant differences between the dissatisfaction the housewives and the socio-demographic variables. 4) The brand preference of the housewives had a positive relationship with the level of their dissatisfaction. 5) The most influential variables for the brand preference of the housewives was in the rank of reference group, income, education level.

  • PDF

Shunt Active Filter for Multi-Level Inverters Using DDSRF with State Delay Controller

  • Rajesh, C.R.;Umayal, S.P.
    • Journal of Power Electronics
    • /
    • 제18권3호
    • /
    • pp.863-870
    • /
    • 2018
  • The traditional power control theories for the harmonic reduction methods in multilevel inverters are found to be unreliable under unbalanced load conditions. The unreliability in harmonic mitigation is caused by voltage fluctuations, non-linear loads, the use of power switches, etc. In general, the harmonics are reduced by filters. However, such devices are an expensive way to provide a smooth and fast response to secure power systems during dynamic conditions. Hence, the Decoupled Double Synchronous Reference Frame (DDSRF) theory combined with a State Delay Controller (SDC) is proposed to achieve a harmonic reduction in power systems. The DDSRF produces a sinusoidal harmonic that is the opposite of the load harmonic. Then, it injects this harmonic into power systems, which reduces the effect of harmonics. The SDC is used to reduce the delay between the compensation time for power injection and the generation of a reference signal. The proposed technique has been simulated using MATLAB and its reliability has been verified experimentally under unbalanced conditions.

A Low-noise Double Relaxation Oscillation SQUID Magnetometer for Measuring Magnetoencephalogram

  • 강찬석;이용호;권혁찬;김진목;윤병운
    • Progress in Superconductivity
    • /
    • 제3권2호
    • /
    • pp.151-158
    • /
    • 2002
  • We developed a useful SQUID magnetometer for biomagnetic applications, magnetoencepha-logram(MEG) and magnetocardiogram(MCG), etc. The SQUIDs are based on Double Relaxation Oscillation SQUID(DROS). DROS consists of two SQUIDs(signal SQUID and reference SQUID) in series, and a relaxation circuit of an inductor and a resistor. Specially we used single reference junction instead of the reference SQUID. The SQUIDs are based on hysteretic $Nb/AlO_{x}$Nb junctions, fabricated by using a simple four level process. Because DROS magnetometer has large flux-to-voltage transfer coefficient, we can use simple flux-locked loop electronics fur SQUID operation. When the DROS magnetometer was operated inside a magnetically shielded room, its average magnetic field noise was about 3 (equation omitted) at 100 Hz. This noise level is low enough to measure biomagnetic fields. In this paper, we describe noise characteristics of DROS magnetometer, depending on the operation condition . .

  • PDF

전기자동차용 표면 부착형 영구자석 동기 전동기의 토크제어를 위한 유한 제어 요소 모델 예측제어(FCS-MPC) 기법 (The Finite Control Set Model Predictive Torque Control Method for Surface Mounted Permanent Magnetic Synchronous Motor of Electric Vehicle)

  • 박성환;이영일
    • 제어로봇시스템학회논문지
    • /
    • 제22권6호
    • /
    • pp.453-462
    • /
    • 2016
  • This paper proposes a torque control method for surface mounted permanent magnetic synchronous motor (PMSM) driven by a 2-level voltage source driven inverter, which has fast torque response and small torque ripple. The proposed torque control method follows the finite control set model predictive control (FCS-MPC) strategy. A reference state is derived at each time step for the given time varying torque reference and the cost index is defined so that the tracking error for this reference state should be penalized. The choice of an optimal output voltage vector is made first from the 6 possible active voltage vectors of the 2-level voltage source inverter. Then a modulation factor for the chosen optimal voltage vector is obtained so that the torque ripple can be reduced further. It is shown that the proposed FCS-MPC control method yields fast torque tracking response and small torque ripple through simulation and experiments.

조선 해상용 임베디드 시스템 개발 방안 (Development Strategy of Embedded Systems for Ship & Maritime Services)

  • 김재명;이좌형;장병태
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국해양정보통신학회 2011년도 추계학술대회
    • /
    • pp.458-461
    • /
    • 2011
  • 조선 해양 분야에서도 IT와 연계되어 많은 서비스가 제공되고 있으며, 그 의존도 갈수록 다양화 고도화되고 있을 뿐 아니라, 안전성 및 신뢰성을 보장하는 고성능 임베디드 시스템의 요구가 증대되고 있다. 조선 및 해양 분야에 적용 가능한 임베디드 시스템으로는 선박식별시스템(AIS)과 같은 통신/제어를 위한 시스템과 전자해도표시시스템(ECDIS) 등과 같은 다양한 사용자 인터페이스와 사용자 인터페이스를 요구하는 서비스를 위한 시스템이 있다. 본고에서는 조선 해양용 임베디드 SW를 분류하고, 특정한 기능을 필요로 하는 통신/제어 장치용 저수준 임베디드 플랫폼과 다양한 사용자 인터페이스를 제공하여 항해자 편리성을 강조하는 ECDIS와 같은 서비스 응용 시스템을 위한 고수준 임베디드 플랫폼으로 분류하고, 각 플랫폼에 필요한 요소를 설명하고 개발 방향을 제시하고자 한다.

  • PDF

시계열 위성영상과 머신러닝 기법을 이용한 산림 바이오매스 및 배출기준선 추정 (Machine-learning Approaches with Multi-temporal Remotely Sensed Data for Estimation of Forest Biomass and Forest Reference Emission Levels)

  • 이용규;이정수
    • 한국산림과학회지
    • /
    • 제111권4호
    • /
    • pp.603-612
    • /
    • 2022
  • 본 연구는 다중시기 위성영상과 머신러닝 알고리즘을 이용하여 준국가수준의 시계열 산림바이오매스량을 추정하였으며, 이를 바탕으로 산림배출기준선 설정하여 비교·분석하였다. 머신러닝기반의 산림바이오매스 추정 모델을 구축하기 위하여 Landsat TM 위성영상과 유럽항공우주국에서 제공하는 Biomass Climate Change Initiative 정보를 이용하였으며, 머신러닝 알고리즘은 비모수 학습모델인 k-Nearest Neighbor(kNN)과 의사결정나무 기반의 Random Forest(RF)를 적용하였다. 또한, 추정된 산림바이오매스량은 Forest reference emission levels(FREL) 자료와 비교하였다. 머신러닝 알고리즘 별 산림바이오매스 추정 모델을 비교해보면, 최적의 kNN 모델과 RF 모델의 Root Mean Square Error (RMSE)는 각각 35.9와 34.41였으며, RF모델이 kNN모델보다 상대적으로 우수하였다. 또한, FREL, kNN, RF 모델 별 산림배출기준선의 기울기는 각각 약 -33천ton, -253천ton, -92천ton으로 설정되었다.