• Title/Summary/Keyword: AM80

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Analysis of Debris Flow Characteristics Considering Forest Environmental Factors -Focusing on the Case of Mt. Daeryong in 2013- (산림환경인자를 고려한 토석류 발생특성 분석 -2013년 춘천시 대룡산 사례를 중심으로-)

  • Park, Sae-Am;Yu, Gwang-Hyeon;Yoo, Nam-Jae
    • Journal of Industrial Technology
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    • v.35
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    • pp.73-80
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    • 2015
  • This paper is research results of the case study on analyzing the characteristics of debris flow considering forest environmental factors, focusing on occurrence of landslides around Mt. Daeryoung in 2013. Extensive landslide of debris flow, caused by heavy rainfall, occurred around Mt. Daeryoung during July in 2013. Field investigation was carried out to construct the data base about forest environmental factor including topography, soil formations and forest type. Thus, contributing factors to cause the landslide of debris flow were investigated so that damages from landslides could be reduced by establishing proper measures.

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Supersonic Intake Design & Flow Control Analysis using Bleeding Condition (초음속 흡입구 형상 설계 및 Bleeding을 활용한 유동제어 연구)

  • Choe, Jae-Hwan;Cheon, So-Min;Kim, Jong-Am
    • Proceeding of EDISON Challenge
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    • 2012.04a
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    • pp.77-80
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    • 2012
  • 초음속 흡입구는 설계점에서 안정적으로 작동하지만 설계점 밖에서는 엔진성능이 급격히 감소하거나 층 격파 불안정 문제가 발생할 수 있다. 초음속 흡입구의 일반적인 특성을 파악하기 위해 2단 꺾임각을 갖는 외부 압축식 2차원 흡입구를 설계하고 EDISON_열유체 시스템을 이용하여 최종적으로 설계 마하수 2.5에서 작동하는 형상을 얻었다. 그러나 설계 마하수 이하의 영역에서는 충격파-경계층, 충격파간 상호작용으로 인해 유동에서 박리가 발생하고 최종적으로 흡입구 목을 질식시켜 아임계 상태로 천이된다. 이를 해결하기 위해 유동 제어 방법 중 하나인 bleeding을 이용하여 경계층을 제거하거나 유동의 박리를 방지하여 충격파를 cowl lip 전방에 안정하게 고정시킬 수 있었으며, 결과적으로 목적하였던 마하수 2.0에서 2.5에 이르는 작동 영역에서 강건하게 운용될 수 있는 초음속 흡입구를 설계하였다.

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Development of Off-line Simulator for Industrial Robots with Auto-teaching (자동교시기능을 갖는 산업용 로봇의 3차원 오프라인 시뮬레이터 개발)

  • 정동연;한성현
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.12
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    • pp.80-88
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    • 2003
  • We propose a new technique to design an unmaned integrating control system based-on Windows XP version off-Line Programming System which can simulate a dynamic model of robot manipulator in three dimensions graphics space in this paper. The robot with 4 and 6 axes modeled SM5 and AM1 respectively were adopted as an objective model. Forward kinematics, inverse kinematics and robot dynamics modeling were included in the developed off-line program. The interface between users and the off$.$line programming system in the Windows XP's graphic user interface environment was also studied. The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by silicon Graphics, Inc. were utilized for three dimensions graphics.

Studies on the Diffusion Current of Ideal Streaming Merury Electrode under Gravity (重力下의 理想噴出水銀電極의 擴散電流에 關한 硏究)

  • Kim, Hwang-Am;Jin, Chang-Hi
    • Journal of the Korean Chemical Society
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    • v.5 no.1
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    • pp.80-83
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    • 1961
  • Solution of the diffusion problem applicable to steady state reduction at the ideal streaming mercury electrode are presented, with special attention being given to the influence of stream contraction caused by the gravity. To eliminate the convection occurring in the layer between the streaming mercury and the electrolytic solution, a new method have been invented, in this case the solution being tested was streamed with same velocity of the streaming mercury. Experiment have been made in order to compare the experimental value with the theoretical value and the experimental diffusion current was approached more to the theoretical value than the value obtained by earlier form of the streaming mercury electrode used by Heyrovsky.

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Linear Discriminant Analysis in Agricultural Experiment (농업실험에서 직선분리함수의 이용)

  • Young-Am Chae
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.22 no.1
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    • pp.80-82
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    • 1977
  • Using head length and head width of two wheat monosomic lines linear discriminant function of these two variables was calculated and also illustrated how one can effectively classify unknown individuals into a correct group belonging by means of this linear discriminant function in reverse. Brief suggestion on the utilization of this analysis in genetics and breeding program was given.

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Diurnal Variation, Vertical Distribution and Source Apportionment of Carcinogenic Polycyclic Aromatic Hydrocarbons (PAHs) in Chiang-Mai, Thailand

  • Pongpiachan, Siwatt
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.3
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    • pp.1851-1863
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    • 2013
  • Diurnal variation of particulate polycyclic aromatic hydrocarbons (PAHs) was investigated by collecting PM10 at three different sampling altitudes using high buildings in the city center of Chiang-Mai, Thailand, during the relatively cold period in late February 2008. At site-1 (12 m above ground level), B[a]P concentrations ranged from 30.3-1,673 pg $m^{-3}$ with an average of $506{\pm}477\;pg\;m^{-3}$ contributing on average, $8.09{\pm}8.69%$ to ${\Sigma}PAHs$. Ind and B[b]F concentrations varied from 54.6 to 4,579 pg $m^{-3}$ and from 80.7 to 2,292 pg $m^{-3}$ with the highest average of $1,187{\pm}1,058\;pg\;m^{-3}$ and $963{\pm}656\;pg\;m^{-3}$, contributing on average, $19.0{\pm}19.3%$ and $15.4{\pm}12.0%$ to ${\Sigma}PAHs$, respectively. Morning maxima were predominantly detected in all observatory sites, which can be described by typical diurnal variations of traffic flow in Chiang-Mai City, showing a morning peak between 6 AM. and 9 AM. Despite the fact that most monitoring sites might be subjected to specific-site impacts, it could be seen that PAH profiles in Site-1 and Site-2 were astonishingly homogeneous. The lack of differences suggests that the source signatures of several PAHs become less distinct possibly due to the impacts of traffic and cooking emissions from ground level.

Isolation and Characterization of Major Royal Jelly cDNAs and Proteins of the Honey Bee (Apis cerana)

  • Srisuparbh, Duangporn;Klinbunga, Sirawut;Wongsiri, Siriwat;Sittipraneed, Siriporn
    • BMB Reports
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    • v.36 no.6
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    • pp.572-579
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    • 2003
  • An expressed sequence tag (EST) library was established from the hypopharyngeal glands of Apis cerana. Sixty-six recombinant clones, possessing inserts >500 bp, were randomly selected and unidirectional sequenced. Forty-two of these (63.6%) were identified as homologues of Major Royal Jelly Proteins families 1, 2, 3, and 4 of A. mellifera (AmMRJP) for which MRJP1 was the most abundant family. The open-reading frame of the MRJP1 homologue (AcMRJP1) was 1299 nucleotides that encoded 433 deduced amino acids with three predicted N-linked glycosylation sites. The AcMRJP1 sequence showed 93% and 90% homologies with nucleotide and deduced amino acid sequences of AmMRJP1, respectively. Two complete transcripts of apisimin, and one and two partial transcripts of $\alpha$-glucosidase and glucose oxidase, were also isolated. In addition, the royal jelly proteins of A. cerana were purified and characterized using Q-Sepharose and Sephadex G-200 column chromatography. The native forms of protein peaks A1, A2, B1, and C1 were 115, 55, 50, and 300 kDa, respectively. SDS-PAGE analysis indicated that A1 and C1 were dimeric and oligomeric forms of the 80 kDa and 50 kDa subunits, respectively. The ratio of the total protein quantities of A1 : A2 : B1 : C1 were 2.52 : 4.72 : 1 : 12.21. Further characterization of each protein, using N-terminal and internal peptide sequencing, revealed that the respective proteins were homologues of MRJP3, MRJP2, MRJP1, and MRJP1 of A. mellifera.

Defect Classification of Cross-section of Additive Manufacturing Using Image-Labeling (이미지 라벨링을 이용한 적층제조 단면의 결함 분류)

  • Lee, Jeong-Seong;Choi, Byung-Joo;Lee, Moon-Gu;Kim, Jung-Sub;Lee, Sang-Won;Jeon, Yong-Ho
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.7
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    • pp.7-15
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    • 2020
  • Recently, the fourth industrial revolution has been presented as a new paradigm and additive manufacturing (AM) has become one of the most important topics. For this reason, process monitoring for each cross-sectional layer of additive metal manufacturing is important. Particularly, deep learning can train a machine to analyze, optimize, and repair defects. In this paper, image classification is proposed by learning images of defects in the metal cross sections using the convolution neural network (CNN) image labeling algorithm. Defects were classified into three categories: crack, porosity, and hole. To overcome a lack-of-data problem, the amount of learning data was augmented using a data augmentation algorithm. This augmentation algorithm can transform an image to 180 images, increasing the learning accuracy. The number of training and validation images was 25,920 (80 %) and 6,480 (20 %), respectively. An optimized case with a combination of fully connected layers, an optimizer, and a loss function, showed that the model accuracy was 99.7 % and had a success rate of 97.8 % for 180 test images. In conclusion, image labeling was successfully performed and it is expected to be applied to automated AM process inspection and repair systems in the future.

Learning Effectiveness according to the Practical Teaching Method, Self-Confidence and Degree of Knowledge Achievement or Aseptic Technique by Nursing Students (간호학생의 무균술에 대한 지식정도 및 자신감과 실습교육 방법에 따른 학습효과)

  • Kim Sun-Ock;Cho Su-Hyun
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.6 no.1
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    • pp.7-17
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    • 1999
  • This study investigated the degree of knowledge achievement and self-confidence in aseptic technique as a part of the fundamental nursing practice classes. The subjects were 220 nursing students in a junior college in Chonnam and an applied Quasi-experimental research methodology was used thirty of them comprised an experimental group to examine learning according to the teaching method. Wata were collected over 80 days, from April to June 1988, analyzed using descriptive statistics, percentages, means, t-test, one way ANOVA, Pearson's correlation coefficient and stepwise multiple regression with the SAS program. The conclusions are as follows. 1. The mean score of the degree of knowledge achievement of aseptic technique of the 220 students was 0.68(possible score 1.0) before the lecture but was 0.88 after lecture(p=.000). 2. The mean score for aseptic technique of the 220 students was 3.41(possible score 5.0) before practice but was 4.27 after practice(p=.000). 3. The correlation of self-confidence before and after practice was relatively low(r=.25, p=.000). 4. The mean score of the degree of knowledge achievement of aseptic technique in the experimental group(selected 30 students) was 0.72 before the lecture but was 0.90 after the lecture. 5. The mean score of self-confidence on aseptic technique in the experimental group(selected 30 students) was 3.18 before practice but was 4.32 after practice(p=.000). 6. The mean score of learning according to the type of teaching to aseptic technique for the experimental group(selected 30 students) was 23.2(possibel score 34) after lecture and presentation, was 27.3 after learning through video tape, was 31.7 after presentation through practice, was 33.7 after first practical training, and was 34 after secondary practical training. As a result of this study, learning methods in the education of fundamental nursing skill effective for knowledge achievement and competence in practicing skill.

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Discrimination of Geographical Origin for Astragalus Root (Astragalus membranaceus) by Capillary Electrophoresis and Near-Infrared Spectroscopy (Capillary electrophoresis 및 근적외선분광분석기를 이용한 황기의 원산지 판별)

  • Kim, Eun-Young;Kim, Jung-Hyun;Lee, Nam-Yun;Kim, Soo-Jeong;Rhyu, Mee-Ra
    • Korean Journal of Food Science and Technology
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    • v.35 no.5
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    • pp.818-824
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    • 2003
  • Capillary electrophoresis (CE) and near-infrared spectroscopy (NIRS) were performed to discriminate astragalus roots (Astragalus membranaceus) according to geographical origin (domestic or foreign). Two-hundred-and-four astragalus roots were extracted with 30% methanol in 0.1 M phosphate buffer (pH 2.5) and separated in a uncoated fused-silica $(50\;{\mu}m{\times}27\;cm)$ capillary. Conditions for optimal analysis included: temperature $-45^{\circ}C$, voltage -14 kV, and pressure injection time -8 sec. The optimal separation buffer was 0.1 M phosphate buffer (pH 2.5) containing 40 mM hexane sulfonic acid with 20% 2-methoxy ethanol. Raw NIR spectra were obtained using NIRS, and modified partial least square regression was used to develop the prediction model. The correlation coefficient and standard error of prediction were 0.915 and 14.3%, respectively. Under the optimal conditions established for CE and NIRS, the geographical origins of the astragalus roots were correctly identified in 80 and 97%, respectively. Astragalus roots that were not discriminated by NIRS were correctly discriminated by CE. Hence, CE and NIRS are potential methods for discriminating the geographical origins of astragalus roots that complement one another.