• Title/Summary/Keyword: Contents analysis

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Thermogravimetric Analysis of Wood and RDF for application to Gasification (가스화로의 확장을 위한 나무와 RDF의 열중량 분석)

  • Kim, Tae-Hyun;Choi, Sang-Min
    • 한국연소학회:학술대회논문집
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    • 2006.10a
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    • pp.156-159
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    • 2006
  • Gasification and melting method is one of the most potential means for waste treatment process with low emission of fly ash or heavy metal, dioxin and high possibility of using slags as resources. Moisture contents influences directly a gasification characteristics of waste. So it is necessary to investigate the effect of moisture contents in gasification. But it is hard to consider the effect of moisture contents, using samples of powder form of Milligram's order in existing thermogravimetric analyser. Therefore, we made a thermogravimetric analysis device to applicate samples of Gram's order. Gasification characteristics are typically reported with result from thermogravimetric analysis date for wood and RDF samples along with changing moisture contents. It is discussed the way to apply these analysis results to gasification and melting furnace.

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Phylogenetic analysis and association of markers and traits related to starch contents in Korean potato cultivars using SSRs

  • Yi, Jung Yoon;Seo, Hyo Won;Huh, On Sook;Park, Young Eun;Cho, Ji Hong;Cho, Hyun Mook
    • Korean Journal of Breeding Science
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    • v.42 no.1
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    • pp.28-34
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    • 2010
  • Diversity of 30 Korean potato cultivars was evaluated using 14 microsatellite markers. Twelve microsatellite markers representing 12 loci in the potato genome detected 84 polymorphisms among 30 cultivars and revealed alleles with a mean of 7.00 alleles per primer. The polymorphism information content (PIC) value ranged from 0.57 to 0.93 with average of 0.82. Based on polymorphism, cluster analysis was conducted by the unweighted pair-group method with arithmetic average (UPGMA) methods. Thirty potato varieties were distinctly separated into 2 groups and similarity coefficient of cluster ranged from 0.58 to 0.95. Thirty tetraploid cultivars were evaluated for six important agronomic traits. One-way analysis of variance was done to look for the degree of relationships between individual markers and traits. K1 and K2 markers showed a significant association with amylose contents, starch contents, and specific gravity.

Learning and Teaching of Mathematical Analysis in Teachers College (교사 양성 대학에서의 해석학의 학습과 지도)

  • 이병수
    • The Mathematical Education
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    • v.42 no.4
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    • pp.541-559
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    • 2003
  • This paper considers learning and teaching of mathematical analysis in teachers college. It concentrates on showing a way how learning and teaching of mathematical analysis should be considered for mathematical teachers training. It is composed of five chapters including Chapter I as an introduction and Chapter Vasa concluding remarks. Chapter II deals with goal and contents of global mathematical analysis. The main Chapter, named Chapter III, demonstrates exhibition of contents, way of operations, and contents of teaching and learning of mathematical real analysis. Chapter IV shows an example of learning and teaching of mathematical real analysis concerning to fixed points and approximate solutions.

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Improvement of VMS Traffic-information Contents Using Importance Preference Analysis (IPA분석을 통한 VMS 제공 교통정보 콘텐츠 개선방안)

  • Park, Bum-Jin;Moon, Byeong-Sup
    • The Journal of the Korea Contents Association
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    • v.11 no.10
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    • pp.457-466
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    • 2011
  • In general, drivers need a self-interest information to decide their routes. So, non-governmental sectors, such as Internet Portal Company, make and provide user-oriented contents for drivers in a hurry. But, VMS which is the typical public media always provides traffic-information for drivers without weighting personal characteristics and considering transportation conditions. So in this research, we searched importance and preference of traffic-information contents as IPA(Importance-Performance Analysis)result. We can draw the conclusion that the improvement of traffic-information contents focused on users(drivers) is needed. Specially, we proposed the strategy of VMS according to traffic conditions.

Effects of Chemical Contents Variation in Covered Barley Seed on Near Infrared Reflectance Spectroscopy (겉보리 종실 성분 변이가 근적외 분광분석치에 미치는 영향)

  • 김병주;박의호;정찬식
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.41 no.3
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    • pp.354-361
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    • 1996
  • Near Infrared Reflectance Spectroscopy(NIRS) is accepted as today's most versatile method for rapid chemical analysis. The technique offers rapid multicomponent analysis. This study was conducted to improve the efficiency of quality analysis in covered barley grain, and to search for the effects of chemical components variation in covered barley grain on NIRS. Among the three groups with different range in the contents, each equation for starch contents increased standard error of prediction(SEP) and increased correlation coefficient from 0.872 to 0.883. According as, $\beta$-glucan and protein contents decreased SEP and increased correlation coefficient by expanded chemical components variation. Effective equation for ash contents analysis was obtained from group 3. Among the covered barley chemical components, starch and ash contents were required to conduct futher studies in term of accuracy and variation of contents. It was concluded that NIRS method would be applicable for the rapid determination of $\beta$-glucan and protein contents in covered barley grains.

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Analysis of Quality Characteristics of Regional Traditional and Commercial Soybean Pastes (Doenjang) (지역별 전통된장과 개량된장의 품질특성)

  • Park, Sun-Young;Kim, Seulki;Hong, Sang-pil;Lim, Sang-Dong
    • Korean journal of food and cookery science
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    • v.32 no.6
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    • pp.686-695
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    • 2016
  • Purpose: This study aimed to investigate the quality characteristics of traditional and commercial soybean pastes (Doenjang) for development of traditional soybean pastes. Methods: Proximate compositions, amino acid nitrogen contents, pH, acidity, salt contents, chromaticity, viable bacteria and inorganic substance contents of nineteen traditional and three commercial Doenjang were investigated. Results: Analysis of proximate compositions indicated a significant difference between samples. In moisture content, D10 did not meet the standard of food codex. The contents of moisture, fat, protein and ash were slightly higher in traditional than commercial Doenjang. However, the carbohydrate content was 2-fold higher in commercial than traditional, and thus, the calories were also higher. The amino nitrogen content was lower in commercial than traditional Doenjang. pH, acidity and salt contents of Doenjang were pH 4.67-6.15, 1.53-3.29%, and 9.01-18.78%, respectively. pH and acidity showed no significant differences between traditional and commercial Doenjang, however, salt contents were significantly higher in traditional than commercial Doenjang. In case of chromaticity, the averages of L, a, b values were higher in traditional Doenjang. In microbiological analysis, total bacteria counts were higher in traditional than commercial Doenjang. The number of Bacillus cereus in D12 and D19 exceeded the standard of food codex. Staphylococcus aureust was undetected in all samples. The number of fungi varied widely between samples, with no detection in five traditional and all commercial Doenjang. Results of inorganic substance analysis indicated that contents of inorganic substances in Doenjang were in order of Na, K, Mg and Ca. Overall, Na content was higher in traditional Doenjang. Contents of inorganic substances showed wide variations in traditional Doenjang. Conclusion: For the development of traditional Doenjang, quality standardization and ensuring safety are considered necessary.

Analysis of Quality Characteristics of Traditional and Commercial Red Pepper Pastes (Gochujang) (전통 고추장과 개량 고추장의 품질특성)

  • Park, Sun-Young;Kim, Seulki;Hong, Sang-pil;Lim, Sang-Dong
    • Korean journal of food and cookery science
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    • v.33 no.2
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    • pp.137-147
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    • 2017
  • Purpose: This study investigated the quality characteristics of traditional and commercial red pepper pastes (Gochujang) for development of traditional red pepper pastes. Methods: Proximate compositions, amino acid nitrogen contents, salt contents, color, viable bacteria, and inorganic substance contents of 19 traditional and three commercial Gochujang were investigated. Results: Analysis of proximate compositions showed huge differences between the samples. For moisture content, six kinds of traditional Gochujang did not meet the standard of the food codex. Contents of moisture, fat, and protein were significantly higher in traditional than commercial Gochujang. However, carbohydrate content was higher in commercial than traditional Gochujang, and thus calories were also higher. The amino nitrogen contents of the three kinds of traditional Gochujang did not meet the standard of the food codex. Salt contents and color were not significantly different between traditional and commercial Gochujang. In the microbiological analysis, total bacteria counts were higher in traditional than commercial Gochujang. The number of B. cereus did not exceed the standard of the food codex in all samples. S. aureus and fungi were not detected in any samples. In the inorganic substance analysis, inorganic substances contents in Gochujang were in the order of Na, K, Mg, and Ca. Overall, Na, K, Mg, and Ca were more abundant in traditional than commercial Gochujang. However, due to wide variations in inorganic substance contents of traditional Gochujang, there were no significant differences between traditional and commercial Gochujang. Conclusion: For the development of traditional Gochujang, quality standardization is considered necessary.

Development of Extracting System for Meaning·Subject Related Social Topic using Deep Learning (딥러닝을 통한 의미·주제 연관성 기반의 소셜 토픽 추출 시스템 개발)

  • Cho, Eunsook;Min, Soyeon;Kim, Sehoon;Kim, Bonggil
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.4
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    • pp.35-45
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    • 2018
  • Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

Role of the Cultural Contents Industry in the National Economy Analysis (문화콘텐츠산업의 파급효과 분석)

  • Min, Yong-Sik;Jung, Kun-Oh;Lim, Eung-Soon
    • The Journal of the Korea Contents Association
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    • v.9 no.3
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    • pp.175-184
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    • 2009
  • Korea shared 2.4% of world culture contents market in 2006 and ranked 9th. Therefore Korean government classified culture contents industry as a new growth-driving industries and started fixing the total contents policy promote system, exterminating illegal copying, protect copyright,improving contents creativity power, and supporting foreign market pioneering. Thus the importance of culture contents industry is increasing day by day. This study analyze the amount changes about production-inducing effect, value-added-inducing effects, employ-inducing effect, supply shortage effect and sectoral price effect, using inter-industry analysis according to time series. Especially, the sectoral price effect of culture contents industry increased by time pass. Thus, the influence of price changes in the culture contents industry to the other industries are increasing.

Analysis of Teacher's Needs on a Life-cycle System of the Educational Digital Contents through a Case Study of EDUNET (에듀넷 사례를 통한 교육용 디지털 콘텐츠 수명주기에 대한 교사 요구사항 분석)

  • Cha, Hyunjin;Hwang, Yunja
    • The Journal of Korean Association of Computer Education
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    • v.22 no.3
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    • pp.101-112
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    • 2019
  • This study aims to draw implications on a life-cycle system of digital contents through a case study about EDUNET in order to maintain the quality and efficiency of the service for educational digital contents in the primary and secondary education area. To achieve the objective, lead teachers in EDUNET service participated in requirements analysis about the life-cycle of the digital contents, for example, contents utilization periods, the periods for being updated, etc. From the results, it was found that a systematic life-cycle framework should be established to re-evaluate the contents in service and provide a quality of contents, responding to consistent changes for educational environments in teaching-learning and for educational topics/directions, or according to educational content's substance such as curriculum or extra-curriculum. This study contributes to suggesting needs to implement the systematic management of contents based on a life-cycle system by analyzing user's requirements in order to provide user-friendly service for the K-12 educational digital contents.