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An Empirical Study on the Characteristics of BT-based Converging Technology Market in Korea (우리나라 BT 융합기술 시장의 특성에 관한 실증연구)

  • Choi, Na-Lin;Hyun, Byung-Hwan;Kim, Pang-Ryong
    • Journal of Korea Technology Innovation Society
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    • v.15 no.2
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    • pp.299-322
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    • 2012
  • Biotechnology is considered a new propeller to national economic growth. Although BT-based converging technology is one of keywords in nowadays, few studies analyze the characteristics of Korean BT convergence market. This study has conducted the analysis of BT-based converging technology market by using patent database in KIPO (Korean Intellectual Property Office) from 2000 to 2010. We, especially, have classified BT convergence into homogeneous and heterogeneous ones, and compare the nature of BT convergence market with that of non-convergence one. To achieve the object of this study, the following methods are used: concentration across IPC technological classes; concentration of patenting activity across firms; PFS (Patent Family Size) index. Furthermore, according to FOS technology-industry table, we have intended to find new converging industry of BT heterogeneous converging technologies. As very few studies have focused on Korean converging technology market so far, this analysis is considered to be meaningful. It is found that the market of BT converging technology is rather robust than that of BT non-converging one, which refers that BT convergence shows the tendency of concentration towards few technologies by few conglomerate firms in Korea. Meanwhile, we have derived a BINET keyword map to research the convergence of sub-technologies in detail and the related industries. We expect the implications of this study to be utilized in establishing the BT-based converging technology policy.

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Effects of Green Tea-Soybean Paste on Weights and Serum Lipid Profiles in Rats Fed High Fat Diet (녹차 된장이 고지방식이를 급여한 흰쥐의 체중 및 혈청 지질성분에 미치는 영향)

  • Park, Jin-Hee;Ha, Ae-Wha;Cho, Jung-Soon
    • Korean Journal of Food Science and Technology
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    • v.37 no.5
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    • pp.806-811
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    • 2005
  • Effects of green tea-soybean paste on weight-changes and serum lipid profiles in rats fed high fat diet were investigated. Sprague-Barley male rats divided into five groups were fed five different diets for 10 weeks: B group, basal diet H group, high fat-diet containing 0.5% cholesterol+15% lard H-S group, high fat diet containing soybean paste H-0.6GS group, high fat diet containing 0.6% green tea-soybean paste H-4GS group, high fat diet containing 4% green tea-soybean paste. H group showed highest weight gain (p<0.05). Addition of green-tea soybean paste to high-fat diet significantly decreased weight gain, H-4GS group showing highest weight loss (p<0.05). No significant differences in food efficiency ratio and total food intake were found among groups. Liver weight of H group was highest. Addition of green tea-soybean paste to high fat diet significantly reduced liver weight (p<0.05, Table 2). Concentrations of glucose, uric acid, bilirubin, and total protein were similar among all group. Mean GPT values of H-4GS group were significantly different from these of H- and H-S groups (p<0.05). H-S, H-0.6GS, and H-4GS groups had significantly lower triglyceride and total cholesterol, and higher HDL than H-group (p<0,05). H-4GS group had significantly lower serum triglyceride than H-0.6GS group (p<0.05).

A Study on the Development of Backlight Surface Defect Inspection System using Computer Vision (컴퓨터비젼을 이용한 백라이트 표면결함 검사시스템 개발에 관한 연구)

  • Cho, Young-Chang;Choi, Byung-Jin;Yoon, Jeong-Oh
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.3
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    • pp.116-123
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    • 2007
  • Despite the number of backlight manufacturer is increased as the market of flat panel display equipments and related development devices is enlarged, the inspection based on the human eye is still used in many backlight production lines. The defects such as particle, spot and scratch on the light emitting surface of the backlight prevent the LCD device from displaying the colors correctly. From that manual inspection it is difficult to maintain the quality of backlight consistently because the accuracy and the speed of the inspection may change with the physical condition of the operater. In this paper we studied on the development of automatic backlight surface defect inspection system. For this, we made up of the computer vision system and we developed the main program with various user interfaces to operate the inspection system effectively. And we developed the image processing module to extract the defect information. Furthermore, we presented the labeling process to reconstruct defect regions using the labeling table and the defect index. From the experimental results, we found that our system can detect all defect regions identified from human eye and it is sufficient to substitute for the conventional surface inspection.

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Assessment of Carbon Stock and Uptake by Estimation of Stem Taper Equation for Pinus densiflora in Korea (우리나라 소나무의 수간곡선식 추정에 의한 탄소저장량 및 흡수량 산정)

  • Kang, Jin-Taek;Son, Yeong-Mo;Jeon, Ju-Hyeon;Lee, Sun-Jeoung
    • Journal of Climate Change Research
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    • v.8 no.4
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    • pp.415-424
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    • 2017
  • This study was conducted to estimate carbon stocks of Pinus densiflora with drawing volume of trees in each tree height and DBH applying the suitable stem taper equation and tree specific carbon emission factors, using collected growth data from all over the country. Information on distribution area, tree age, tree number per hectare, tree volume and volume stocks were obtained from the $5^{th}$ National Forest Inventory (2006~2010) and Statistical yearbook of forest (2016), and method provided in IPCC GPG was applied to estimate carbon stock and uptake. Performance in predicting stem diameter at a specific point along a stem in Pinus densiflora by applying Kozak's model, $d=a_{1}DBH^{a_2}a_3^{DBH}X^{b_{1}Z^2+b_2ln(Z+0.001)+b_3\sqrt{Z}+b_4e^z+b_5(\frac{DBH}{H})}$, which is well known equation in stem taper estimation, was evaluated with validations statistics, Fitness Index, Bias and Standard Error of Bias. Consequently, Kozak's model turned out to be suitable in all validations statistics. Stem volume table of P. densiflora was derived by applying Kozak's model and carbon stock tables in each tree height and DBH were developed with country-specific carbon emission factors ($WD=0.445t/m^3$, BEF = 1.445, R = 0.255) of P. densiflora. As the results of analysis in carbon uptake for each province, the values were high with Gangwon-do $9.4tCO_2/ha/yr$, Gyeongsandnam-do and Gyeonggi-do $8.7tCO_2/ha/yr$, Chungcheongnam-do $7.9tCO_2/ha/yr$ and Gyeongsangbuk-do $7.8tCO_2/ha/yr$ in order, and Jeju-do was the lowest with $6.8tC/ha/yr$. Total carbon stocks of P. densiflora were 127,677 thousands tC which is 25.5% compared with total percentage of forest and carbon stock per hectare (ha) was $84.5tC/ha/yr$ and $7.8tCO_2/ha/yr$, respectively.

Data Product Value Evaluation Method for Data Exchange Platform (데이터거래 활성화를 위한 데이터상품가치 평가모델 연구)

  • Kim, Sujin;Lee, Junghyun;Park, Cheonwoong
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.34-46
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    • 2021
  • In the domestic data exchanging market, unreasonable pricing of purchase data is consistently mentioned as a major obstacle in data trading. This is a problem caused by the inability to properly evaluate the value of data products due to lack of product information and experience in using them. In order to activate trading, the data exchanges need to provide information that allows consumers to comprehensively judge the value of data products in addition to prices. The cost-based, income-based, and market-based methods, which are mainly applied to data valuation, are insufficient as data valuation methods to stimulate trading and distribution because only price information, a result of valuation from a supplier's point of view, can be shared with consumers. This study aims to develop a measurable valuation method that allows data trading stakeholders (exchanges, suppliers, and consumers) to judge and share the value of data products from a common perspective. To this end, we identified the value drivers of data products, which are considered important in overseas data exchanges and related research, and derived an evaluation method that can quantitatively measure each value driver. In addition, evaluation criteria in the form of a rating table were developed using data products for transactions, and a value evaluation index was developed through stratification analysis (AHP) to enable relative value comparison. As a result of applying the evaluation criteria to actual data products, it was found that the evaluation values were differentiated according to the characteristics of individual data products, so it could be used as a relative value comparison tool.

Comprehensive Literature Study on Efficacy of Marine Therapeutic Resources (해양치유자원의 효능관련 기존의 연구문헌 분석)

  • Kim, Choong-Gon;Cho, Hyeon-Jin
    • Journal of The Korean Society of Integrative Medicine
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    • v.10 no.4
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    • pp.121-136
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    • 2022
  • Purpose : Marine therapy is an activity that promotes public health such as constitution improvement, immunity improvement, and anti-aging by utilizing marine therapeutic resources such as seawater, mud, seaweed, salt and sea climate. In Europe developed countries, the marine therapy industry has been developing for centuries, with France, Germany, and Israel leading the way. Currently, it has achieved great industrial achievements and is of great help in improving the human health. The purpose of this study is to investigate how marine therapeutic resources benefit to human health, as well as how to study and utilize their efficacy. We analyzed previous research articles related to the effects of marine therapeutic resources. Methods : The study included a total of 830 published literatures in the last 20 years from the Republic of Korea and other contries. PubMed and Google Scholar were utilized to collect the foreign source while the local scientific publications were accessed through the Korean Education and research Information Service (KERIS) and Korean studies Information Service System (KISS). The keywords used to search foreign literature were "marine therapy", "Thalassotherapy", "seawater", "deep seawater", "saline groundwater", "sand therapy", "mud therapy", "hydrotherapy", "seaweed", "Sun light", "sea salt", "marine animal", and "marine microorganisms" were combined, and for the domestic literature, the keywords were "marine therapy", "marine therapeutic resources", "seawater", and "sand". Results : A total of 830 research papers were found as a result of searching for domestic and international papers related to marine therapeutic resources. The collected documents were classified into 175 seawater resources, 259 marine mineral resources, 41 marine environment, and 355 marine organisms. The efficacy of each marine therapeutic resources was analyzed. By resources type, there were about 213 papers on the efficacy of seaweed, followed by about 175 papers on seawater, 142 on microorganisms, 124 on mud/peat, and sand, salt, minerals and others are appeared in order (Table 1). Conclusion : Korea has the highest marine biodiversity index, excellent tidal flats, four distinct seasons, and various sea environments of the East sea, Yellow sea, South sea and Jeju sea. For this reason, Korea has a much more diverse marine therapeutic resources than other advanced countries in the marine therapy industry. prebiously, we thought that the sea was only valuable as a shipping port and fishery industry. But now, it been shown that the ocean can become a new industrial field which can contribute to human health and well-being by providing healing and therapy to people through the gift of marine resources.

Vegetation Classification and Ecological Characteristics of Black Locust (Robinia pseudoacacia L.) Plantations in Gyeongbuk Province, Korea (경북지방 아까시나무 조림지의 식생유형과 생태적 특성)

  • Jae-Soon Song;Hak-Yun Kim;Jun-Soo Kim;Seung-Hwan Oh;Hyun-Je Cho
    • Journal of Korean Society of Forest Science
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    • v.112 no.1
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    • pp.11-22
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    • 2023
  • This study was established to provide basic information necessary for ecological management to restore the naturalness of black locust (Robinia pseudoacacia L.) plantations located in the mountains of Gyeongbuk, Korea. Using vegetation data collected from 200 black locust stands, vegetation types were classified using the TWINSPAN method, the spatial arrangement status according to the environmental gradient was identified through DCA analysis, and a synoptic table of communities was prepared based on the diagnostic species determined by determining community fidelity (Φ) for each vegetation type. The vegetation types were classified into seven types, namely, Quercus mongolica-Polygonatum odoratum var. pluriflorum type, Castanea crenata-Smilax china type, Clematis apiifolia-Lonicera japonica type, Rosa multiflora-Artemisia indica type, Quercus variabilis-Lindera glauca type, Ulmus parvifolia-Celtis sinensis type, and Prunus padus-Celastrus flagellaris type. These types usually reflected differences in complex factors such as altitude, moisture regime, successional stage, and disturbance regime. The mean relative importance value of the constituent species was highest for black locust(39.7), but oaks such as Quercus variabilis, Q. serrata, Q. mongolica, Q. acutissima, and Q. aliena were also identified as important constituent species with high relative importance values, indicating their potential for successional trends. In addition, the total percent cover of constituent species by vegetation type, life form composition, species diversity index, and indicator species were compared.

Differentiating Uterine Sarcoma From Atypical Leiomyoma on Preoperative Magnetic Resonance Imaging Using Logistic Regression Classifier: Added Value of Diffusion-Weighted Imaging-Based Quantitative Parameters

  • Hokun Kim;Sung Eun Rha;Yu Ri Shin;Eu Hyun Kim;Soo Youn Park;Su-Lim Lee;Ahwon Lee;Mee-Ran Kim
    • Korean Journal of Radiology
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    • v.25 no.1
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    • pp.43-54
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    • 2024
  • Objective: To evaluate the added value of diffusion-weighted imaging (DWI)-based quantitative parameters to distinguish uterine sarcomas from atypical leiomyomas on preoperative magnetic resonance imaging (MRI). Materials and Methods: A total of 138 patients (age, 43.7 ± 10.3 years) with uterine sarcoma (n = 44) and atypical leiomyoma (n = 94) were retrospectively collected from four institutions. The cohort was randomly divided into training (84/138, 60.0%) and validation (54/138, 40.0%) sets. Two independent readers evaluated six qualitative MRI features and two DWI-based quantitative parameters for each index tumor. Multivariable logistic regression was used to identify the relevant qualitative MRI features. Diagnostic classifiers based on qualitative MRI features alone and in combination with DWI-based quantitative parameters were developed using a logistic regression algorithm. The diagnostic performance of the classifiers was evaluated using a cross-table analysis and calculation of the area under the receiver operating characteristic curve (AUC). Results: Mean apparent diffusion coefficient value of uterine sarcoma was lower than that of atypical leiomyoma (mean ± standard deviation, 0.94 ± 0.30 10-3 mm2/s vs. 1.23 ± 0.25 10-3 mm2/s; P < 0.001), and the relative contrast ratio was higher in the uterine sarcoma (8.16 ± 2.94 vs. 4.19 ± 2.66; P < 0.001). Selected qualitative MRI features included ill-defined margin (adjusted odds ratio [aOR], 17.9; 95% confidence interval [CI], 1.41-503, P = 0.040), intratumoral hemorrhage (aOR, 27.3; 95% CI, 3.74-596, P = 0.006), and absence of T2 dark area (aOR, 83.5; 95% CI, 12.4-1916, P < 0.001). The classifier that combined qualitative MRI features and DWI-based quantitative parameters showed significantly better performance than without DWI-based parameters in the validation set (AUC, 0.92 vs. 0.78; P < 0.001). Conclusion: The addition of DWI-based quantitative parameters to qualitative MRI features improved the diagnostic performance of the logistic regression classifier in differentiating uterine sarcomas from atypical leiomyomas on preoperative MRI.

Suitability Grouping System of Paddy Soils for Multiple Cropping -Part II : Criteria of the Suitability Grouping (다모작(多毛作)을 위한 답토양(畓土壤) 적성등급(適性等級) 구분(區分) -제(第)2보(報) : 적성등급(適性等級) 구분기준(區分基準))

  • Jung, Yeun-Tae;Park, Eun-Ho;No, Yeong-Pal;Um, Ki-Tae
    • Korean Journal of Soil Science and Fertilizer
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    • v.19 no.4
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    • pp.283-289
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    • 1986
  • To establish a suitability grouping system of paddy soils for multiple cropping of rice with other upland crops, the study was carried out after a few basic experiments. In succession to the results on basic experiment prior, the suitability system proposed and the results of application mentioned in this report were summarized as follows; 1. The factors of soil properties in the system were productivities represented by soil texture and drainage class, as well as salinity of surface and sub-soil pH of chemical properties were considered together with slope, warmth index, ground water table, parent materials etc. of soil physical or environmental conditions. The weights of the factors were combined with multiplicatively and additively so as the total marks of ideal soil to be 100. The system was composed with 5 suitability classes; over 91 mark is class I, under 60 mark class V, and each 10 point interval between classes. The limiting factors "P" (in the case that Physical properties or Productivity marks under 24), "S" (Surface slope less than 15) and "C" (Chemical condition below 15) etc. were appended up to two kinds to the classes except a part of soils in class I. 2. The areas where the warmth index exceed 110 in Yeongnam were 19% for class I, 22.7% for class II, 44.7% for class III, 11.5% for class IV, and 2.1% for class V. The rates in class I and II were slightly more than those of the whole country. 3. The points of each soil gained by the system had a positive correlation ($r=.922^{**}$) with the potential productivities.

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LIM Implementation Method for Planning Biotope Area Ratio in Apartment Complex - Focused on Terrain and Pavement Modeling - (공동주택단지의 생태면적률 계획을 위한 LIM 활용방법 - 지형 및 포장재 모델링을 중심으로 -)

  • Kim, Bok-Young;Son, Yong-Hoon;Lee, Soon-Ji
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.3
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    • pp.14-26
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    • 2018
  • The Biotope Area Ratio (BAR) is a quantitative pre-planning index for sustainable development and an integrated indicator for the balanced development of buildings and outdoor spaces. However, it has been pointed out that there are problems in operations management: errors in area calculation, insufficiency in the underground soil condition and depth, reduction in biotope area after construction, and functional failure as a pre-planning index. To address these problems, this study proposes implementing LIM. Since the weights of the BAR are mainly decided by the underground soil condition and depth with land cover types, the study focused on the terrain and pavements. The model should conform to BIM guidelines and standards provided by government agencies and professional organizations. Thus, the scope and Level Of Detail (LOD) of the model were defined, and the method to build a model with BIM software was developed. An apartment complex on sloping ground was selected as a case study, a 3D terrain modeled, paving libraries created with property information on the BAR, and a LIM model completed for the site. Then the BAR was calculated and construction documents were created with the BAR table and pavement details. As results of the study, it was found that the application of the criteria on the BAR and calculation became accurate, and the efficiency of design tasks was improved by LIM. It also enabled the performance of evidence-based design on the terrain and underground structures. To adopt LIM, it is necessary to create and distribute LIM library manuals or templates, and build library content that comply with KBIMS standards. The government policy must also have practitioners submit BIM models in the certification system. Since it is expected that the criteria on planting types in the BAR will be expanded, further research is needed to build and utilize the information model for planting materials.