• Title/Summary/Keyword: T 방법

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육용종계의 육추.육성시 영양수준이 산란성적에 미치는 영향

  • 이상진;나재천
    • Proceedings of the Korea Society of Poultry Science Conference
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    • 2003.05a
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    • pp.15-25
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    • 2003
  • 본 연구는 육용종계의 육추·육성시의 체중조절 방법과 사료급여방법이 산란기 생성에 미치는 영향을 구명하여 육용종계의 생산성 향상 방안을 설정하기 위하여 수행하였다. 시험 I. 육성기의 체중조절 모형별이 산란기의 생산성에 미치는 영향을 구명하기 위하여 64주 동안 수행하였는데, 24주 동안의 사료섭취량은 T3구(12주령까지 체중을 10% 억제하였다가 점차 증체시켜 20주령에 목표체중에 도달시키는 체중조절방법)가 T1구(12주령까지 체중을 10% 증가시킨 후 증체를 억제하여 20주령 목표체중에 도달시키는 체중조절방법)에 비하여 수당 55g을 적제 섭취하였으며, 초산일령은 다른 조절방법에 비하여 0.3∼1.0일 지연되었다. 그리고 총산란율은 T3구가 다른 시험구보다 1.9∼2.2% 향상되었으며, 기형란율은 0.56∼0.62% 적게 발생하였고, 성계생존율은 T3구가 2.6∼3.8% 높았다. 또한 초생추 생산수수는 T3구가 다른 시험구에 비하여 11.0∼12.1수를 더 많이 생산하였다.

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FDTD 방법을 이용한 3T MRI용 RF 코일의 해석

  • 이종오;박준서;명노훈;박부식;김용권;정성택
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.11 no.6
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    • pp.976-983
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    • 2000
  • In this paper, Bridcage type RF coils used widely as RF coils for MRI and its applicable type, spiral type RF coil are analyzed and designed using FDTD method. In low tesla (IT, 1.5T) MRI system, several tools have been used for the analysis and design of the RF coils for MRI. This includes, so-called, LC equivalent circuit method for predicting the resonance frequency of the coil and the Biot-Savart law to determine the field distribution within the coil. Both of the circuit analysis and Biot-Savart law are low frequency techniques. Therefore, at high frequency applications, the circuit model approximation breaks down because the coil geometry is a significant fraction of the wavelength. In this paper, we analyzed and designed RF coils for 3T MRI using FDTD method. This method is a full wave analysis and very accurate at low and high frequencies. Also, this RF coils are actually fabricated and FDTD models of RF coils for MRI are proven.

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TBCC Face Matching Method For Essential Avatar In Cyber-Space (사이버공간에서 실질적인 아바타를 위한 TBCC 얼굴매칭기법)

  • Cho, Jong-Keun;Paik, Doo-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.04b
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    • pp.891-894
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    • 2001
  • 본 논문은 서로 다른 얼굴이미지 사이의 얼굴매칭기법의 새로운 방법인 TBCC(T-Block constraints Condition)얼굴매칭기법을 제안한다. 본 논문에서 제안하는 방법은 T영역안의 이목구비에다가 제어영역을 두고, T영역과 제어영역들을 분리하여 2개의 영상으로 각각 만든 다음에 각각의 correspondence가 있는 영상끼리 와핑(Warping)을 한 후에, 제어영역들은 2단계구조를 가진 계층적인 선형조합(Linear Combination)모델에 적용시켜 최적의 위치를 찾아낸 후에, T영역에 와핑시켜서 하나의 합성사진을 만들어 낸다. 합성사진에서 피부색이 다른 문제는 정규분표를 이용한 크로스디졸브(Cross-Dissolve)방법인 이미지프로세싱 기법을 새롭게 적용하며, 그리고, T모양의 자국이 남는 것은 본 논문에서 제안하는 T-Block Color Interpolation방법을 적용해서 해결한다.

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Scheme for Reliable CoAP Message Transmission in IoT (IoT에서 신뢰적 CoAP 메시지 전송 기법)

  • Youn, Joo-Sang;Hong, Yong-Geun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.355-356
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    • 2014
  • 본 논문에서는 IoT 환경에서 constrained node의 특징을 고려한 4.5 계층의 신뢰적 메시지 전송 방법을 제안한다. 더불어 IoT 서비스 특징 중 데이터 전송과 관련된 내용을 보면 데이터 사이즈는 작고, 자주 데이터를 발생 시키지 않는다. 따라서 IoT 디바이스에서 발생하는 데이터는 신뢰적 전송 서비스가 요구 된다. 따라서 본 논문에서는 오버헤드가 적은 전송 서비스를 제공하는 신뢰적 메시지 전송 방법과 더불어 이 방법에는 sleepy node를 인지하고 이를 지원하는 방법을 포함한다.

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Segmentation of Brain MR Image using Difference of T2 Image and T1 Image (뇌 MR 영상중 T2 에서 T1의 차영상을 이용한 영역분할 기법)

  • Park, Hyung-Ki;Kim, Young-Bong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.405-408
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    • 2003
  • 영상의 구성물질에 따른 정확한 분할은 질병의 유무를 판단하는데 매우 중요하다. 그러나 영상에서 구성물질들을 정확하게 분할하기란 쉬운 문제가 아니다. 그리고 많은 연구들이 뇌의 실질적인 량을 고려하지 못한 상태서 분할이 이루어지고 있다. 따라서 뇌의 실질적인 량과 비교할 때 가장 근접한 방법 의 개발이 필요하다고 볼 수 있다. 본 논문은 fat을 소거한 T2 영상과 T1 영상을 이용하여 조직에 따르는 명암 분포가 각각 다르게 분포되어 있는 것을 이용하여 평활화한 후 두 영상의 차로 백질, 회백질, 뇌척수액을 분리하는 방법을 제안한다. 이 방법을 이용하여 정상이의 뇌 MR 영상 이용하여 (19 Slice) 백질, 회백질, 뇌척수액을 분리하는 방법을 제시하였다.

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Binary regression model using skewed generalized t distributions (기운 일반화 t 분포를 이용한 이진 데이터 회귀 분석)

  • Kim, Mijeong
    • The Korean Journal of Applied Statistics
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    • v.30 no.5
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    • pp.775-791
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    • 2017
  • We frequently encounter binary data in real life. Logistic, Probit, Cauchit, Complementary log-log models are often used for binary data analysis. In order to analyze binary data, Liu (2004) proposed a Robit model, in which the inverse of cdf of the Student's t distribution is used as a link function. Kim et al. (2008) also proposed a generalized t-link model to make the binary regression model more flexible. The more flexible skewed distributions allow more flexible link functions in generalized linear models. In the sense, we propose a binary data regression model using skewed generalized t distributions introduced in Theodossiou (1998). We implement R code of the proposed models using the glm function included in R base and R sgt package. We also analyze Pima Indian data using the proposed model in R.

A Study on Collection Method of IoT Information for The Adaptation of Web Services (웹 서비스 적용을 위한 IoT 정보 수집 방법에 관한 연구)

  • Sim, Sung-Ho;Han, Jung-Soo
    • Journal of the Korea Convergence Society
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    • v.8 no.12
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    • pp.71-76
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    • 2017
  • It is necessary to develop a service that meets various environmental requirements so that the Internet of things can be applied to the fourth industry in overall. This paper presents a method for extracting IoT devices information to change the current provider centric service provision environment in order to construct a user centered service provision environment for Web services. Also, it provides users to utilize the appropriate web services through taking advantage of IoT devices information. The existing service provision environment is focused on the method of selecting the service using the provider service information, thus, it is considered necessary for a user-oriented service search method to be in need. In this study, the service list is provided to the user by combining provider information and information extracted from IoT Devices. IoT information collection generates information by separating context information such as information between IoT devices and users and event information between devices through identifiers. In this paper, we propose a development of a user centric service environment by presenting users with a necessary service list through the proposed IoT information.

Development of Site Classification System and Modification of Design Response Spectra considering Geotechnical Site Characteristics in Korea (II) - Development of Site Classification System (국내 지반특성에 적합한 지반분류 방법 및 설계응답스펙트럼 개선에 대한 연구 (II) - 지반분류 개선방법)

  • Yoon, Jong-Ku;Kim, Dong-Soo;Bang, Eun-Seok
    • Journal of the Earthquake Engineering Society of Korea
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    • v.10 no.2 s.48
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    • pp.51-62
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    • 2006
  • In the companion paper (I-Problem Statements of the Current Seismic Design Code), the current Korean seismic design code is required to be modified considering site characteristics in Korea for the reliable estimation of site amplification. In this paper, three site classification methods based on the mean shear wave velocity of the top 30m $V_{S30}$, fundamental site periods $(T_G)$ and bedrock depth were investigated and compared with each other to determine the best classification system. Not enough of a difference in the standard deviation of site coefficients $(F_a\;and\;F_v)$ to determine the best system, and neither is the difference between the average spectral accelerations and the design response spectrum of each system. However, the amplification range of RRS values based on $T_G$ were definitely concentrated on a narrow band than other classification system. It means that sites which have a similar behavior during earthquake will be classified as the same site category at the site classification system based on $T_G$. The regression curves between site coefficients and $T_G$ described the effect of soil non linearity well as the rock shaking intensity increases than the current method based on $V_{S30}$. Furthermore, it is unambiguous to determine sue category based on $T_G$ when the site investigation is performed to shallower depth less than 30m, whereas the current $V_{S30}$ is usually calculated fallaciously by extrapolating the $V_s$ of bedrock to 30m. From the results of this study, new site classification system based on $T_G$ was recommended for legions of shallow bedrock depth in Korea.

Scheme for Constructing Infra-less network in Multi-interface based IoT Network (멀티인터페이스 기반 IoT 네트워크에서 Infra-less 네트워크 구성 기법)

  • Youn, JooSang
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.07a
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    • pp.55-56
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    • 2015
  • 본 논문에서는 여러 접속 인터페이스를 가진 노드로 구성된 저전력 손실 네트워크 기반의 로컬 Infra IoT 환경에서 로컬 Infra-less IoT 서비스를 제공하기 위한 네트워크 구성 방법을 제안한다. 우선, Infra IoT 네트워크환경의 분석을 통해 문제점을 정의하고 이후 로컬 Infra-less IoT 네트워크 모델을 정의하고 정의된 네트워크 모델에 필요한 네트워크 구성 방법을 제안한다.

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Effect of Gas- and Liquid-injection Methods on Formation of Bubble and Liquid Slug at Merging Micro T-junction (마이크로 T자형 합류지점에서 기체 및 액체의 주입 방법이 기포 및 액체 슬러그 생성에 미치는 영향)

  • Lee, Jun Kyoung;Lee, Chi Young
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.40 no.4
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    • pp.227-236
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    • 2016
  • In the present experimental study, the effect of gas- and liquid-injected methods on the formation of bubble and liquid slug at the merging micro T-junction of a square microchannel with dimensions $600{\mu}m{\times}600{\mu}m$ was investigated. Nitrogen and water were used as test fluids. The superficial velocities of the liquid and gas were in the range of 0.05 - 1 m/s, and 0.1 - 1 m/s, respectively, where the Taylor flow was observed. The bubble length, liquid slug length, bubble velocity, and bubble generation frequency were measured by analyzing the images captured using a high-speed camera. Under similar inlet superficial velocity conditions, in the case of gas injection to the main channel at the merging T-junction (T_gas-liquid), the lengths of the bubble and liquid slug were longer, and the bubble generation frequency was lower than in the case of liquid injection to the main channel at the merging T-junction (T_liquid-gas). On the other hand, in both cases, the bubble velocity was almost the same. The previous correlation proposed using experimental data for T_liquid-gas had predicted the present experimental data of bubble length, bubble velocity, liquid slug length, and bubble generation frequency for T_gas-liquid to be ~24%, ~9%, ~39%, ~55%, respectively.