• Title/Summary/Keyword: 단축실험

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Extraction Method for Paraquat from Soil (토양중 Paraquat의 효과적인 추출방법)

  • Kwon, Jin-Wook;Kim, Yong-Se;Choi, Jong-Woo;Lee, Kyu-Seung
    • Korean Journal of Environmental Agriculture
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    • v.16 no.3
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    • pp.239-244
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    • 1997
  • To develope more effective extraction methods for paraquat in soil, some modification methods were accomplished in two different types of soil. For extraction of tightly bound-paraquat, conc. HCl 70ml were added with different shaking times, and then $H_2SO_4$ reflux were performed for an hour. In this case, 60 minutes shaking were optimum and recovery were increased more $1.09{\sim}1.50$ folds(84.0% in high clay contents soil, but 96.7% in low clay contents soil) and the long-time consuming step, filtration were easily done, with decreasing filtration time were shorter 4.6 folds(ca. $11{\sim}14min.$). than general paraquat analytical method(ca. $55{\sim}65min.$). And only $H_2O_2$ digestion with different volume and refluxing time resulted in recovery increasing. Nevertheless, considering analyst's safety, 30ml of $H_2O_2$ addition and 30 minutes reflux were regarded as optimum condition. Although, Kjeldahl digestion with $H_2O_2$ showed relatively high recovery, it is not significant statistically. For extraction of loosely bound-paraquat, 0.01, 0.1, 1.0, 10.0M of $NH_4Cl$ and of $CaCl_2$ compared with $1.5{\sim}24hr$ of different shaking time. There were no loosely bound residues of paraquat.

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Image Retrieval using Shape Feature (모양 특징을 이용한 영상 검색)

  • 정성호;황병곤;이상렬
    • Proceedings of the Korea Multimedia Society Conference
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    • 2000.11a
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    • pp.57-61
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    • 2000
  • 본 논문에서는 영상의 다양한 특징 정보 중에서 모양 특징을 이용한 영상 검색 시스템 을 제안한다. 모양 특징을 추출하기 위한 과정은 Chain Code를 이용 경계면의 좌표와 깊이를 구하는 과정, 경계면에 대한 무게 중심 추출 과정 그리고 영역의 넓이를 구하는 과정으로 구성되고, 무게 중심으로부터 경계면 가지 거리의 합, 표준 편차, 장축/단축 비율 등을 특징 정보로 이용한다. 각 질의 영상들의 특징 정보와 데이터베이스에 저장된 영상들의 특징 정보들을 비교하여 유사도 순위에 따라 후보영상들이 검색된다. 실험 대상으로는 170개의 폐곡선을 이루는 이진 도형 영상에 대한 검색 실험을 실시하였으며, 실험 결과 평균 Recall/Precision이 0.65/0.81을 보임으로써 제안된 방법이 유용함을 보였다.

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EVP Models for Wave Transformation in Regions of Slowly Varying Depth (EVP방법(方法)을 이용한 완경사(緩傾斜) 영역(領域)에서의 파랑변형(波浪變形) 수치모형(數値模型))

  • Oh, Seong Taek;Lee, Kil Seong;Lee, Chul Eung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.12 no.3
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    • pp.231-238
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    • 1992
  • Error vector propagation method is applied to the elliptic mild slope equation in order to reduce the computation time. Results from the elliptic, parabolic, and hyperbolic models are compared with experimental data for an elliptic shoal. Also, results of the elliptic and hyperbolic models are compared with experimental data for a detached breakwater. As a result of applying this model. it is concluded that the present model satisfactorily reduces the computation time compared with other numerical models. In the accuracy of solutions, there are some oscillations but the trend compares well with other models.

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An Experimental Study on Reduction of Working Period of Concrete using High Early Strength Binder (조강형 결합재를 사용한 콘크리트의 공기단축에 관한 실험적 연구)

  • Kim, Dong-Jin;Kim, Min-Jeong;Lee, Sang-Ho
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.11a
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    • pp.513-516
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    • 2008
  • Recently, a demand for reduction of construction cost by reducing construction period is increasing because of the slump of the construction business, the increasing price of raw-materials and the enforcement of after-sale system. As a method of reducing construction period, many construction companies usually apply a method of reducing curing period. But if they use an existing early strength cement or admixture, they spend a heavy cost on materials and there are many problems, such as a heat of hydration and a loss of workability. The purpose of this research is a reduction of construction cost by reducing construction period as a earlier removal time of form. To check up application of concrete using high early strength binder and admixture, comparative tests were carried out with concrete using an existing early strength cement or admixture such as tests of diurnal variation, setting time and compressive strength.

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Effects of the Products of Raw Sea Tangle on Chronic Idiopathic Constipation (생다시마 가공제품의 배변활동 개선 효과)

  • Oh, Hyun-Kyung;Lim, Hyeon-Sook
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.36 no.6
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    • pp.720-726
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    • 2007
  • This study was performed to investigate effects of raw sea tangle products on idiopathic constipation. A total of thirty-eight women participated voluntarily in this study. They were placed into one of four groups by their total colonic transit time (TCTT) to make the four groups have the same TCTT. In the first trial, the subjects in Control group were fed 3 times of 150 mL of mineral water per day for 2 weeks, those in +Control group were fed a kind of stool softener as well as the same mineral water for 3 times, those in STT group were fed 3 times of 150 mL of sea tangle tea and those in STB group were fed 3 times of 150 mL of sea tangle beverage. After 6 weeks, a second trial was performed for another 2 weeks. Although the TCTT of the group exposed to of KolomarkTM was not significantly reduced, the subjects in STT group answered that their evacuation activities were significantly improved; evacuation frequency was increased, stool hardness was reduced, evacuation straining was lessened, stool amount was increased, incomplete sense of evacuation was lessened, and major evacuation time was improved like those in +Control group. The results imply that it is worthy to develop some products of raw sea tangle such as STT, which are effective in treating or preventing constipation.

가스장 이온원 시스템에서 마이크로 채널 플레이트의 잡음 제거 방법

  • Han, Cheol-Su;Park, In-Yong;Jo, Bok-Rae;Park, Chang-Jun;An, Sang-Jeong
    • Proceedings of the Korean Vacuum Society Conference
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    • 2014.02a
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    • pp.422.2-422.2
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    • 2014
  • 가스장 이온원(GFIS: Gas Field Ionization Source)은 전자현미경보다 분해능이 향상된 이온현미경의 광원으로 사용하기 위하여 연구되고 있고, 큰 각전류 밀도, 작은 크기의 가상 이온원 그리고 좁은 에너지 퍼짐을 특징으로 한다. 여러 가지 장점을 가지고 있는 GFIS을 개발하기 위해서는 GFIS에서 발생된 이온빔의 형상을 관찰 것이 매우 중요하며, 이러한 관찰을 위한 시스템에는 주로 마이크로 채널 플레이트 (MCP: Micro Channel Plate)가 사용된다. MCP는 채널내부에 입사한 입자의 에너지에 의해서 생성된 이차전자를 수 천 배에서 수 백 만 배 이상 증폭시켜 형광판에 조사하고 발광시키는 방법으로 작은 신호를 영상으로 관찰 할 수 있도록 한다. MCP의 큰 증폭비는 작은 크기의 신호를 큰 신호로 증폭하여 관찰하는데 용이하여, GFIS 방법으로 생성된 이온빔(이온빔 전류 값은 pA 수준)을 관찰하기에 적합하다. 그러나 MCP를 이용하여도 증폭된 이온빔의 세기가 매우 작기때문에 생성된 이온빔 형상을 정확하게 관찰하기 위해서는 MCP의 형광판을 촬영하는 카메라 노출시간을 길게하여 데이터 수집 시간을 늘려야 하는 문제가 있다. 본 발표에서는 이온빔 형상 관찰에 소요되는 시간을 단축하기 위하여 MCP의 잡음이 GFIS의 이온빔 이미지 관찰에 미치는 영향을 분석하고 이를 제거 방법을 소개한다. 본 연구에서는 GFIS 방출 이온빔의 이미지에 포함된 MCP 잡음 특성을 장(전계)이온현미경 (Field Ion Microscope)실험을 통하여 분석하였고, 디지털 이미지 처리 방법을 이용하여 방출 이온빔 이미지에서 MCP 잡음을 제거하여 방출 이온빔 이미지만 추출할 수 있었다. 본 연구에서 제안한 방법을 GFIS 방출 이온빔 관찰시스템에 적용함으로써 기존 방법에 비해 노출시간을 단축하여 방출 이온빔을 관찰 할 수 있었으며, 노이즈 제거 효과로 향상된 이온빔 형상을 얻을 수 있었다. 본 연구결과의 관찰시간 단축과 향상된 이온빔 형상 획득은 이온현미경 개발에 필수적인 단원자 이온빔을 보다 효율적으로 개발할 수 있으며 디지털 이미지 처리로 GFIS 이온빔 생성을 자동화하는데 응용할 수 있다. 더불어 기존방법에 비해 이미지 획득을 위한 MCP의 노출시간을 단축할 수 있으므로 실험장비 수명 단축 방지 및 관리에 큰 장점이 있다.

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A Study of Keyword Spotting System Based on the Weight of Non-Keyword Model (비핵심어 모델의 가중치 기반 핵심어 검출 성능 향상에 관한 연구)

  • Kim, Hack-Jin;Kim, Soon-Hyub
    • The KIPS Transactions:PartB
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    • v.10B no.4
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    • pp.381-388
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    • 2003
  • This paper presents a method of giving weights to garbage class clustering and Filler model to improve performance of keyword spotting system and a time-saving method of dialogue speech processing system for keyword spotting by calculating keyword transition probability through speech analysis of task domain users. The point of the method is grouping phonemes with phonetic similarities, which is effective in sensing similar phoneme groups rather than individual phonemes, and the paper aims to suggest five groups of phonemes obtained from the analysis of speech sentences in use in Korean morphology and in stock-trading speech processing system. Besides, task-subject Filler model weights are added to the phoneme groups, and keyword transition probability included in consecutive speech sentences is calculated and applied to the system in order to save time for system processing. To evaluate performance of the suggested system, corpus of 4,970 sentences was built to be used in task domains and a test was conducted with subjects of five people in their twenties and thirties. As a result, FOM with the weights on proposed five phoneme groups accounts for 85%, which has better performance than seven phoneme groups of Yapanel [1] with 88.5% and a little bit poorer performance than LVCSR with 89.8%. Even in calculation time, FOM reaches 0.70 seconds than 0.72 of seven phoneme groups. Lastly, it is also confirmed in a time-saving test that time is saved by 0.04 to 0.07 seconds when keyword transition probability is applied.

A Study on Reducing Learning Time of Deep-Learning using Network Separation (망 분리를 이용한 딥러닝 학습시간 단축에 대한 연구)

  • Lee, Hee-Yeol;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.25 no.2
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    • pp.273-279
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    • 2021
  • In this paper, we propose an algorithm that shortens the learning time by performing individual learning using partitioning the deep learning structure. The proposed algorithm consists of four processes: network classification origin setting process, feature vector extraction process, feature noise removal process, and class classification process. First, in the process of setting the network classification starting point, the division starting point of the network structure for effective feature vector extraction is set. Second, in the feature vector extraction process, feature vectors are extracted without additional learning using the weights previously learned. Third, in the feature noise removal process, the extracted feature vector is received and the output value of each class is learned to remove noise from the data. Fourth, in the class classification process, the noise-removed feature vector is input to the multi-layer perceptron structure, and the result is output and learned. To evaluate the performance of the proposed algorithm, we experimented with the Extended Yale B face database. As a result of the experiment, in the case of the time required for one-time learning, the proposed algorithm reduced 40.7% based on the existing algorithm. In addition, the number of learning up to the target recognition rate was shortened compared with the existing algorithm. Through the experimental results, it was confirmed that the one-time learning time and the total learning time were reduced and improved over the existing algorithm.

Perceptions on Microcomputer-Based Laboratory Experiments of Science Teachers that Participated in In-Service Training (연수에 참여한 교사들의 MBL실험에 대한 인식)

  • Park, Kum-Hong;Ku, Yang-Sam;Choi, Byung-Soon;Shin, Ae-Kyung;Lee, Kuk-Haeng;Ko, Suk-Beum
    • Journal of The Korean Association For Science Education
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    • v.27 no.1
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    • pp.59-69
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    • 2007
  • The aim of this study was to investigate teachers' perceptions on MBL (microcomputer-based laboratory) experiment training program for teachers, the expecting effects of MBL experiment and application of MBL experiment after conducting MBL experiment training for science classes in schools. This study showed that most of the teachers who participated in the training program thought that the MBL experiment training program was very useful and instructive. Many teachers considered that MBL experiments using a computer could decrease time spent in the experiment by accurate and fast data collection and analysis. They also thought that the reduced time could be used more effectively in the analysis of experimental data and discussion activities leading to correct concept formation as well as in the development of graphical analysis and science process skills. However, they thought that MBL experiments were ineffective in learning how to operate experiment apparatus. This study also revealed that most teachers intended to apply MBL experiments in real classrooms context right after the training course and they pointed out many obstacles in introducing MBL experiments into their classrooms such as a budget to purchase equipment, poor laboratory conditions, and few MBL experiment training opportunities. In order to apply MBL experiment into the real classrooms, further changes were suggested as follows; development of technologies to reduce unit cost of equipment for MBL experiments, production and supply of many kinds of sensors, development of MBL experiment materials, and expansion of the training program for teachers.

Experimental Implementation of Task Scheduling Strategies (태스크 스케줄링 기법의 실험적 구현)

  • 강오한;강상성;김시관
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.76-78
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    • 2004
  • 본 논문에서는 태스크 스케줄링 기법을 PC 클러스터에 구현하여 스케줄링 기법의 성능을 분석한다. 구현된 스케줄링 기법은 태스크 그래프를 입력으로 받아 PC 클러스터로 스케줄링하며, 휴리스틱을 사용하여 태스크를 선택적으로 중복함으로써 병렬연산시간을 단축한다. 실험을 한 결과 본 논문에서 소개한 스케줄링 기법이 비교 기법보다 병렬연산시간 측면에서 성능이 우수함이 확인하였다.

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