• Korean Journal of Human Ecology
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• v.8 no.4
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• pp.23-35
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• 2005

The purpose of this study was to analyze the chemical components of Perilla leaf(frutescens Britton var. scuta Kudo) according to the making process, and to examine Hunter's color value and sensory evaluation of Jasosuksu by extraction time. Perilla leaves were prepared in three types; fresh leaf, dried leaf in the shade and roasted leaf after being dried in the shade in order to make Jasosuksu. The results of the research were as follows: Free sugars(sucrose, glucose, fructose) and organic acids(citric acid, tartaric acid, malic acid, succinic acid) were present in the fresh leaf, dried leaf and roasted leaf. $15{\sim}16$ kinds of amino acid including aspartic acid were determined in the fresh leaf, dried leaf and roasted leaf, and the major free amino acids were serine, aspartic acid, and glutamic acid. The major total amino acids of tile fresh leaf, dried leaf and roasted leaf were glutamic acid, histinine, and glycine. The major fatty acids of Perilla leaves were palmitic acid, linolenic acid, and linolenic acid. The content ratio of linolenic acid in fresh leaves was the highest, but that of palmitic acid was lower than that of dried leaves and roasted leaves. L value, a value, and b value of Perilla leaf were the highest in the roasted leaves followed by the order of dried leaves and fresh leaves. L value and b value of Jasosuksu extracted from roasted leaves were higher than Jasosuksu extracted from dried leaves. The preference of color, flavor, sweetness of Jasosuksu extracted from dried leaves was the highest when extraction time was 10 min. at $70^{\circ}C$, but that of Jasosuksu extracted from roasted leaves was the highest when extraction time was 15 min. at $70^{\circ}C$. The preference of color, flavor, taste of Jasosuksu extracted from roasted leaves was higher than that of Jasosuksu extracted from dried leaves.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.101-101
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• 2017

Beta-glucan is a polymerized polysaccharide on beta-1,3 chemical bonds. It has the main pharmacological action of various anticancer mushrooms and is colorless and odorless. In addition, it enhances phagocytosis of macrophages against mycobacterium tuberculosism and increases resistance of host against food poisoning bacteria. Owing to these advantages, beta-glucan was used in various health supplement foods such as immune boosters, hypotensive agent and hypoglycemic agent. Our study was aimed to investigate the effective components of beta-glucan, which was optimized via the contents of Sarcodon aspratus and rice bran. First, the mixture ratio condition of Sarcodon aspratus and rice bran were respectively 10:0, 7:3, 5:5, 3:7, and 0:10. The raw materials were fabricated using hot water extraction method. Distilled water of 100 mL was added to the raw material and extracted. After the extraction processed, the content of effective components was analyzed. The absorbance of beta-glucan was measured using a beta-glucan kit (Megazyme, (1-3) (1-4) BETA-D-GLUCAN ASSAY KIT). The absorbance analysis was repeated three times for accurate analysis. After the extracts were lyophilized, the yields of extracted raw materials according to the mixture ratio conditions of Sarcodon aspratus and rice bran (10:0, 7:3, 5:5, 3:7, and 0:10) were respectively 33.1%, 34.5%, 35.3%, 30.7%, and 24.3%. The absorbance was 1.52, 1.47, 1.50, 1.79, and 1.56, respectively. As a result, the optimum ratio of beta-glucan is 3:7 at Sarcodon aspratus and rice bran. This study suggested that the optimal amount of beta-glucan could be used as a health supplement foods and food additive such as immune boosters, hypotensive agent and hypoglycemic agent. However, the new condition (temperature, time) of hot water extraction to maximize the content of beta-glucan could be considered, could be necessary to compare with the existing extracts.

• Journal of IKEEE
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• v.7 no.1 s.12
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• pp.22-31
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• 2003

Conventional stimulus patterns have used DC for discrimination of acupoint and meridian which is the basic object of diagnosis and medical treatment in oriental medicine. Those discriminate conduction points by stimulation on body skin with DC. But, it is insufficient to reliability in discrimination ratio, coincident ratio, body effect, reproductivity. Therefore, this paper has extracted the optimal parameter of frequency and waveform in order to improve conventional pattern, and proposed the SPAC(Single Power Alternative Current) stimulus pattern applying that. Also, We proposes algorithm which is able to discriminate with low pressure of the electrode by displaying in the level meter both the absolution and relation value of the skin current. It can decrease pain and body effect by electrode pressure and discriminate acupoint regardless of skin current in difficult discrimination spot. We have compared the performance of system applying the extracted optimal parameter and algorithm. We have compared discrimination, coincident ratio of both conduction point and traditional acupoints by acupoint stimulation pattern. In the results, we confirmed reliability of SPAC stimulus pattern.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.36-56
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• 2022

Traffic accidents occur in Korea are calculated with the 「Automobile Accident Negligence Ratio Certification Standard」 prepared by the 'General Insurance Association of Korea' and the insurance company's agreement or judgment is made. However, disputes are frequently occurring in calculating the negligence ratio. Therefore, it is thought that a more effective response would be possible if accident type according to the standard could be quickly identified using traffic accident information prepared by police. Therefore, this study aims to develop a model that learns the accident information prepared by the police and classifies it to match the accident type in the standard. In particular, through data mining, keywords necessary to classify the accident types of the standard were extracted from the accident data of the police. Then, models were developed to derive the types of accidents by learning the extracted keywords through decision trees and random forest models.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.11
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• pp.1132-1142
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• 1991

This paper proposed a method of feature parameter extraction for shape information analysis of moving object. In the 2-D plane, moving object are extracted by the difference method. Feature parameters of moving object are chosen area, perimeter, a/p ratio, vertex, x/y ratio. We changed brightness variation from the range of 600Lux to the 1400Lux and then determined Permissible Error range of feature parameter due to the brightness variation. So as to verify the validity of proposed method, experiment are performed with a toy car and it's results showed that decision error was less than 6%.

• Journal of the Korean Institute of Rural Architecture
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• v.12 no.1
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• pp.57-64
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• 2010

This study is to clarify the actual conditions of high school of environment friendly architecture per ecological environment elements through extracting ecological environment elements which is possible to analyze in quantity certification standards of environment friendly architecture. As the method of the study, First, certification as an examination on certification system of environment-friendly architecture, summary of certification system of environment friendly architecture and certification high school, ecological environment elements which is possible for quantitative analysis of ecological environment certification standards were extracted. Second, actual condition of ecological environment elements per non-certification high school by collecting actual data of certification schools environment friendly architecture were analyzed and the results are as the follows. The average of ecological area ratio was 17.8 percent in case of non-certification school facilities it was analyzed that the natural based green area ratio was 17.5 percent, continuous green axis length ratio was 19.0 percent and roof green garden area ratio was 0 percent.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.132-134
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• 2003

The likelihood ratio, logistic regression and artificial neural networks methods are applied and verified for analysis of landslide susceptibility in Yongin, Korea using GIS. From a spatial database containing such data as landslide location, topography, soil, forest, geology and land use, the 14 landsliderelated factors were calculated or extracted. Using these factors, landslide susceptibility indexes were calculated by likelihood ratio, logistic regression and artificial neural network methods. Before the calculation, the study area was divided into two sides (west and east) of equal area, for verification of the methods. Thus, the west side was used to assess the landslide susceptibility, and the east side was used to verify the derived susceptibility. The results of the landslide susceptibility analysis were verified using success and prediction rates. The v erification results showed satisfactory agreement between the susceptibility map and the exis ting data on landslide locations.

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.15-18
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• 2000

In this paper, we propose a method for text extraction in the Web images. Our approach is based on contrast detecting and pixel component ratio analysis in mouse position. Extracted data with OCR can be used for real time dictionary call or language translation application in Web browser.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.215-217
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• 2008

The most widely used method for searching contents of mot ion picture compares contents by extracted cuts. The cut extract ion methods, such as CHD(Color Histogram Difference) or ECR(Edge Change Ratio), are very weak at modifications such as cropping, resizing and low bit rate. The suggested method uses audio contents for indexing and searching to make search be robust against these modification. Scenes of audio contents are extracted for modification-robust search. And based on these scenes, make spectral powers binary on each frequency bin. in the time-frequency domain. The suggested method shows failure rate less than 1% on the false positive error and the true negative error to the modified(using cropping, clipping, row bit rate, addtive frame) contents.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1615-1618
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• 1987

This paper proposes new algorithm for classifying speech signal frame into voiced, unvoiced, silence frame, using the parameters extracted from time domain behavior of speech signal The prameters used in this paper are absolute magnitude, the sum of peaks lager than reference level (T-peak), the ratio of T-peak to absolute magnitude and the magnitude of signal outputs of DPCM. Using this parameters, speech signal is more easily classified into voiced/ unvoiced/silence frame.