• Title/Summary/Keyword: 척도 구

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Effect of Cooking methods with Various Heating Apparatus on the Quality Characteristics of Beef (가열기구에 따른 조리방법이 소고기의 품질특성에 미치는 영향)

  • Jeon, Ki-Hong;Kwon, Ki-Hyun;Kim, Eun-Mi;Kim, Young-Boong;Sohn, Dong-In;Choi, Jin-Young
    • Culinary science and hospitality research
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    • v.19 no.5
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    • pp.196-205
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    • 2013
  • This study showed the chemico-physical characteristics and sensory evaluation of beef loin and ribs with various kinds of cooking apparatus and methods like pan heating, boiling, grilling, steaming, cooking heating, charcoal heating and double layer pan heating. Double layer pan filled with Phase Change Materials(PCM) heating was also tested. Heating time of beef loin and ribs by oven heating was the longest as 55.5 and 25.7 min. Cooking loss of beef loin and ribs were 40.49%, 27.98% each and showed biggest in charcoal heating(p<0.05). In the chemical analysis, grilling resulted in the highest protein contents of 29.3% in the loin and double layer pan heating had 28.6% in the ribs. In the loin, 20.3% of crude fat was the highest in the double layer pan heating, and 21.9% of crude fat of ribs in the PCM heating(p<0.05). In the test of shearing forces, double layer pan heating had the lowest result of $9.14kg/cm^2$ in the loin and $7.03kg/cm^2$ in the ribs. In the 9 point-scale sensory evaluation, PCM treatment showed the best result of 7.67 in the juiciness of loin and single layer pan heating and grilling treatment had the highest score of 7.00 in the ribs. Loin in the PCM heating had 7.11 and ribs in the grilling had 7.13, showing the best in overall acceptability. With this experiments, we could find the chemico-physical and sensory characteristics of beef loin and ribs were affected by various cooking methods.

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참깨의 수세 후 탈수 정도에 따른 참깨 볶음 조건과 참기름 품질 영향 비교

  • 모승영;이우진;은종방
    • Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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    • 2003.10a
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    • pp.153-153
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    • 2003
  • 우리나라와 일본에서 특유의 향미로 인해 오래 전부턴 조미식품으로 애용되었던 참기름은 최근 토코페롤과 세사몰류 항산화 성분의 인체 기능성으로 인해 유지시장에 서 더욱 증가일로에 있다. 지금까지 좋은 향미와 품질을 지닌 참기름을 얻기 위해 참깨의 roasting조건에 대한 많은 연구가 이루어져 왔으나, 가공 전처리인 이물질 제거를 위한 수세 작업 및 탈수 작업에 관한 연구는 아직까지 없었다. 따라서, 본 연구에서는 이물질을 제거하는 수세 작업을 한 후 수분의 제거 정도 즉, 참깨가 roasting 과정으로 들어가기 직전의 수분 함량이 참기름의 제조와 품질에 미치는 영향을 알아보고자 하였다. 시료 350g을 수세 후 24 hr, 48 hr, 120 hr 실온에서 송풍 건조를 시켜 참깨 자체의 수분 함량을 각각 17.14%, 11.78%, 6.08%로 조절하여 착유하였다. 수분함량이 다른 세 군 시료를 각기 24$0^{\circ}C$, 26$0^{\circ}C$, 28$0^{\circ}C$에서 20분간 roasting하여 착유된 참기름에 대해 이화학적 품질 특성을 알기 위해 seed와 oil의 색도, 산가, 과산화물가, TBA가, 점도와 굴절률을 측정하였다. 또한, sample single test(5점 척도)를 이용한 관능검사를 행하여 benny, nutty, burnt flavor 및 전체적 만족도와 향의 강도 항목을 조사한 후 상관분석을 실시하였다. roasted sesame seed와 oil에 대해 색도를 측정하고 분산 분석을 실시한 결과, 참깨의 색도 중 L*가 R-suare=1로서 전체 자료가 모형을 잘 설명해줌을 의미하는데, 고수분 시료일수록 whiteness가 높게 나왔고(60이상), 고온일수록 미미한 감소가 나타났다. 이것은 수분함량이 시료의 건화속도에 요인자로 작용함을 말해준다. oil의 L*도 마찬가지 경향을 보이나 고수분 시료구의 경우(40 이상), 타 시료구(20이하)에 비해 백색도가 높은 것을 볼 수 있어 볶음에 더 많은 시간을 투자해야 함을 보여주었다. 그러나 a*와b*는 시료구간 뚜렷한 차이는 보이지 않았다. 참기름에 대하여 화학적 품질 평가로 산가는 수분함량 시료구별로 1.204, 3.28, 1.862가 측정되었고, 과산화물가는 0.493, 0.169, 0.315가 기록되었고, TBA가 또한 13.45, 10.27, 11.73로서 시료의 수분 함량과 상관없이 초기 산패 경향은 거의 없는 것으로 나타났다. 참기름의 물리적 품질요소로서 점도는 평균 85.57 cS, 굴절률은 평균 1.471로서 시험구간 이화학적 차이는 없는 것으로 드러났다. 관능검사결과의 상관분석에서는 beany와 burnt flavor간에 -0.9975(p<0.05)의 음상관을, nutty flavor와 전체favor간에 0.99662의 양상관(p$\leq$0.05)을 보였고, burnt와 향의 strength, 전체 favor와 nutty flavor간에도 상관성이 높았다. strength와 nutty 항목간에도 0.982의 높은 상관을 보였으나 전체 favor와 burnt 항목간에는 높은 음상관(-0.9862)을 보였다. 고수분 함량의 시료는 28$0^{\circ}C$의 고온 처리시 외에는 향미가 좋지 못한 것으로 나타났고, 수분량이 적은 실험구는 고온일수록 향과 고소함은 강해지나 수분 보유량이 적어 타 실험구에 비해 탄내가 많이 발생하였다. 향미 만족도는 중간 수분량, 26$0^{\circ}C$ 볶음 처리구가 가장 컸다. 결론적으로 수분함량을 10~12%로 조절한 시료로 26$0^{\circ}C$~28$0^{\circ}C$에서 20분 이내로 roasting할 때가 좋은 참기름을 얻을 수 있을 것으로 사료된다.

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Validation of a Dwelling Depression Scale Based on Analysis of Projective Images (투사이미지 분석기반 고령자 주거우울 척도 타당화 연구)

  • Lee, Yewon;Park, Chongwook;Woo, Sungju
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.2
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    • pp.1-7
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    • 2018
  • As the living environment is regarded as a key factor that affects the quality of life of the elderly, the necessity for an accurate measurement of depression for the elderly has increased. In order to diagnose accurately, it is crucial to consider variables such as the cognitive characteristics and living conditions. In this study, 301 persons over 65 years old who live in single and couple elderly households over 65 years were surveyed from 1 January 2018 to 2 February to measure the dwelling depression by applying projective images. The correlations between the dwelling depression and projective images are clarified and the reliability of the questionnaire was evaluated. The correlations between the geriatric dwelling depression index(GDDI) and the GDDI based on projective images(GDDI-I) are clarified. The accuracy of the GDDI-I is analyzed. As a result the projective image questionnaire has a correlation with the existing self-report questionnaire. It is hoped that the results will provide a basis for further researches on psychological diagnoses using the projective method.

FLIR and CCD Image Fusion Algorithm Based on Adaptive Weight for Target Extraction (표적 추출을 위한 적응적 가중치 기반 FLIR 및 CCD 센서 영상 융합 알고리즘)

  • Gu, Eun-Hye;Lee, Eun-Young;Kim, Se-Yun;Cho, Woon-Ho;Kim, Hee-Soo;Park, Kil-Houm
    • Journal of Korea Multimedia Society
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    • v.15 no.3
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    • pp.291-298
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    • 2012
  • In automatic target recognition(ATR) systems, target extraction techniques are very important because ATR performance depends on segmentation result. So, this paper proposes a multi-sensor image fusion method based on adaptive weights. To incorporate the FLIR image and CCD image, we used information such as the bi-modality, distance and texture. A weight of the FLIR image is derived from the bi-modality and distance measure. For the weight of CCD image, the information that the target's texture is more uniform than the background region is used. The proposed algorithm is applied to many images and its performance is compared with the segmentation result using the single image. Experimental results show that the proposed method has the accurate extraction performance.

Super Resolution Technique Through Improved Neighbor Embedding (개선된 네이버 임베딩에 의한 초해상도 기법)

  • Eum, Kyoung-Bae
    • Journal of Digital Contents Society
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    • v.15 no.6
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    • pp.737-743
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    • 2014
  • For single image super resolution (SR), interpolation based and example based algorithms are extensively used. The interpolation algorithms have the strength of theoretical simplicity. However, those algorithms are tending to produce high resolution images with jagged edges, because they are not able to use more priori information. Example based algorithms have been studied in the past few years. For example based SR, the nearest neighbor based algorithms are extensively considered. Among them, neighbor embedding (NE) has been inspired by manifold learning method, particularly locally linear embedding. However, the sizes of local training sets are always too small. So, NE algorithm is weak in the performance of the visuality and quantitative measure by the poor generalization of nearest neighbor estimation. An improved NE algorithm with Support Vector Regression (SVR) was proposed to solve this problem. Given a low resolution image, the pixel values in its high resolution version are estimated by the improved NE. Comparing with bicubic and NE, the improvements of 1.25 dB and 2.33 dB are achieved in PSNR. Experimental results show that proposed method is quantitatively and visually more effective than prior works using bicubic interpolation and NE.

The Effects of Enneagram Group Counseling on Clinging and Decentering (에니어그램 집단상담이 집착과 탈중심화에 미치는 효과)

  • Min, Yo-Dal;Sung, Seoung-Yun
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.502-518
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    • 2019
  • The purpose of this study was to determine the effects of Enneagram group counseling on clinging and decentering of women in midlife. To determine the effectiveness of the program, pretest, posttest, and follow-up test were performed using Kim's(2006) clinging scale and Kim's(2010) decentering scale in both groups. The collected data were processed by using SPSS/WIN 22.0 to estimate the mean and standard deviation in the pretest and the posttest, with repeated measures ANOVA performed to analyze the effectiveness of the program. This study obtained the following results: First, the enneagram group counseling program was effective in lowering the level of clinging for group participants. Second, the enneagram group counseling program was effective in raising the level of decentering for group participants. These results demonstrate that the enneagram group counseling program is effective in reducing clinging and promoting decentering for group participants.

Multidetector CT Findings of Solid Organ Injury Based on 2018 Updated American Association for the Surgery of Trauma Organ Injury Scaling System (2018 개정 미국외상수술협회 복부고형장기 손상척도에 따른 다중검출 CT 소견)

  • Hyo Hyeon Yu;Yoo Dong Won;Su Lim Lee;Young Mi Ku;Sun Wha Song
    • Journal of the Korean Society of Radiology
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    • v.81 no.6
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    • pp.1348-1363
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    • 2020
  • The newly revised 2018 Organ Injury Scale (OIS) has a similar format to the previous American Association for Surgery and Trauma (AAST) Emergency General Surgery Grading System, dividing the criteria for grading solid organ damage into three groups; imaging, operation, and pathology. The most significant alteration in the OIS system 2018 revision is the incorporation of multidetector CT (MDCT) findings of vascular injury including pseudoaneurysm and arteriovenous fistula. Similar to the previous OIS, the highest of the three criteria is assigned the final grade. In addition, if multiple grade I or II injuries are present, one grade is advanced for multiple injuries up to grade III. This pictorial essay demonstrates the MDCT findings of solid organ injury grades based on the 2018 OIS system.

Development of an EEG Based Discriminant-Scale for Scientifically Gifted Students in Elementary School (초등학교 과학 영재아의 뇌파 기반 변별 척도 개발)

  • Kwon, Suk-Won;Kang, Min-Jung;Shin, Dong-Hoon;Kwon, Yong-Ju
    • Journal of Korean Elementary Science Education
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    • v.25 no.spc5
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    • pp.556-566
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    • 2007
  • The purpose of this study was to develop an electroencephalogram (EEG) based differential-scale for scientifically gifted students in elementary school. For this study, signals of EEG with 19 channels were recorded during the generation of our scientific hypothesis using 22 scientifically gifted students, and with 49 average students being used as the control group. IQ, TCT and knowledge generation (KG) as constructs of the scientifically gifted were administered for both the scientifically gifted and the normal, control group elementary students. A 'gifted' value was added to paper test scores of the IQ, TCT, and KG constructs in order to make a personal standardization score for the gifted students. As a dependent variable, the groups were divided by means of the standardization scores thus produced and as an autonomous variable, various EEG parameters were presented through linear analysis, nonlinear analysis, and interdependency measures of the EEG. Multiple linear regression analysis was applied successfully to explain the EEG parameters and to show the characteristics of the scientifically-gifted. The discrimination analysis was administered through the results of multiple linear regression of the EEG parameters thus produced. This study represents the foundation of the development of an EEG based discriminant-scale for scientifically gifted students in elementary school, because it will be able to faithfully discriminate between scientifically-gifted and average students. The results of this study indicates that most of the EEG parameters produced can contribute to predicting the characteristics of the scientifically-gifted in that they express the degree of mutual information and the coherence of mutuality. Accordingly, mutual connectivity which appears to originate in the brain seems to the core of discrimination.

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Hybrid Water Treatment of Photocatalyst Coated Polypropylene Beads and Ceramic Membranes: Effect of Membrane and Water Back-flushing Period (광촉매 코팅 폴리프로필렌 구와 세라믹 분리막의 혼성수처리: 분리막과 물 역세척 주기의 영향)

  • Park, Jin Yong;Hwang, Jung Hye
    • Membrane Journal
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    • v.23 no.3
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    • pp.211-219
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    • 2013
  • Effect of water back-flushing period (FT) was investigated in hybrid water treatment process of carbon ultrafiltration and polypropylene (PP) beads coated with photocatalyst, and membrane effect was studied by comparing the previous studies with carbon microfiltration or alumina ultrafiltration, microfiltration membranes. FT 6 min was the most effective to control initial membrane fouling and optimal condition because the membrane fouling resistance was low until initial 60 min and the maximum total permeate volume was acquired at this FT. The turbidity treatment efficiency was high beyond 98.6%, and did not depend on FT, which was same with the previous result of carbon or alumina microfiltration. The organic matters treatment efficiency was the highest value of 98.2% at FT 6 min, which was almost same trend with the previous result of alumina microfiltration. Then the organic matters treatment efficiency of carbon microfiltration was the minimum at no back-flushing (NBF) and increased as decreasing FT, but that of alumina ultrafiltration was the maximum at NBF and also increased as decreasing FT. Therefore it means that water back-flushing effect on the organic matters treatment efficiency had a different mechanism depending on pore size in spite of the same material membranes.

A Data Transformation Method for Visualizing the Statistical Information based on the Grid (격자 기반의 통계정보 표현을 위한 데이터 변환 방법)

  • Kim, Munsu;Lee, Jiyeong
    • Spatial Information Research
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    • v.23 no.5
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    • pp.31-40
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    • 2015
  • The purpose of this paper is to propose a data transformation method for visualizing the statistical information based on the grid system which has regular shape and size. Grid is better solution than administrator boundary or census block to check the distribution of the statistical information and be able to use as a spatial unit on the map flexibly. On the other hand, we need the additional process to convert the various statistical information to grid if we use the current method which is areal interpolation. Therefore, this paper proposes the 3 steps to convert the various statistical information to grid. 1)Geocoding the statistical information, 2)Converting the spatial information through the defining the spatial relationship, 3)Attribute transformation considering the data scale measurement. This method applies to the population density of Seoul to convert to the grid. Especially, spatial autocorrelation is performed to check the consistency of grid display if the reference data is different for same statistic information. As a result, both distribution of grid are similar to each other when the population density data which is represented by census block and building is converted to grid. Through the result of implementation, it is demonstrated to be able to perform the consistent data conversion based on the proposed method.