• Journal of Korean Society of Forest Science
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• v.83 no.4
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• pp.429-440
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• 1994

This study attempt to evaluate the recreation space(two patterns ; one is open space ; forest, water-front space and free open space, the other recreational fercilities) located in the natural area based on clarifying the relationship between the physical conditions of these spaces and human response(users' cognitive evaluation and users' activity pattern). On this standpoint it was proceeded to analyses of the information which was collected by interviews to users who were in this open space at the natural park of Osaka Prefecture. Through this study, the results were summarized as follows ; 1) Forest and waterfront space are considered to be a basic factor of the composition in natural recreation areas. There was difference on the recreational value depending on condition of forest composition. The hardwood-forest apparently high in its efficiency. 2) Free open space is a definite recreational space surely wide in its scope of active of recreational use. The site should be setted up considering the plants conditions around and geographical features according to the recreational activities, and the ground cover should be well controlled. 3) The recreational facilities in natural settings such as the sightseeing tower, the insect display hall, and the camp site appeared to produce low value as a recreational space. It was desirable that recreational activities be allowed within the scope. Consequently, we should carefully consider environmental capacity and landscape to designing these spaces 4) Traditional history and cultural properties are recognized as part of recreational resource as and also as essence of the compositions. So continuos care and proportion of history and cultural properties should be guaranteed.

• Journal of the Korean Society of Food Science and Nutrition
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• v.32 no.7
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• pp.953-959
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• 2003

This study examined physicochemical properties of two waxy rice starches, shinsun and black rice starches. Proximate compositions of both samples were similar. The major minerals in the shinsun rice starches were Ca, Mg, P and Na, whereas those in black rice starches were Ca, P, Fe and Mg. The major particle size of shinsun rice starch was 6.97 micron and that of black rice starch was 6.27 micron. In iodine reaction, maximum absorbance wavelength (λmax) and absorbance at 625nm of black rice starch were higher than those of shinsun rice starch. Intrinsic viscosity of black rice starch (183mL/g) was higher than that of shinsun rice starch (178 mL/g). Water binding capacity was similar in both samples. Swelling power and solubility of black rice starch were lower than those of shinsun rice starch. X-ray diffraction patterns of all samples showed traditional A type of cereals as shown peaks at 15.2 (15.0), 17.2 (17.15), 18.05 (17.95), 23.25 (23.15)$^{\circ}$. The common shape of SEM was observed in both waxy rice starches.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.795-835
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• 2019

Big data has been generated in various fields. Many companies have now tried to make profits by building a system capable of analyzing big data based on artificial intelligence (AI) techniques. Integrating AI technology has made analyzing and utilizing vast amounts of data increasingly valuable. In particular, demand forecasting with maximum accuracy is critical to government and business management in various fields such as finance, procurement, production and marketing. In this case, it is important to apply an appropriate model that considers the demand pattern for each field. It is possible to analyze complex patterns of real data that can also be enlarged by a traditional time series model or regression model. However, choosing the right model among the various models is difficult without prior knowledge. Many studies based on AI techniques such as machine learning and deep learning have been proven to overcome these problems. In addition, demand forecasting through the analysis of stereotyped data and unstructured data of images or texts has also shown high accuracy. This paper introduces important areas where demand forecasts are relatively active as well as introduces machine learning and deep learning techniques that consider the characteristics of each field.

• Korean Journal of Food Science and Technology
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• v.40 no.3
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• pp.332-336
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• 2008

Ginger is widely used as a traditional herbal medicine. Both ginger and its extracts have been used to treat many chronic inflammatory conditions via the inhibition of nuclear factor-kappa B (NF-${\kappa}B$) activation, which results in the suppression of cyclooxygenase-2 (COX-2) expression. However, the mechanisms as to how ginger extracts mediate their health effects are largely unknown. Toll-like receptors (TLRs) trigger anti-microbial innate immune responses, recognizing conserved microbial structural molecules that are known as pathogen-associated molecular patterns. All TLR signaling pathways culminate in the activation of NF-${\kappa}B$. The activation of NF- ${\kappa}B$ leads to the induction of inflammatory gene products, including cytokines and COX-2. This study reports the biochemical evidence that 6-shogaol, an active compound in ginger, inhibits NF-${\kappa}B$ activation and COX-2 expression induced by TLR2, TLR3, and TLR4 agonists. Furthermore, 6-shogaol inhibited NF-${\kappa}B$ activation induced by the following downstream signaling components of the TLRs: MyD88, $IKK{\beta}$, and p65. These results imply that ginger can modulate immune responses that could potentially modify the risk of many chronic inflammatory diseases.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.209-228
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• 2011

Web search behavior has evolved. People now search using many diverse information devices in various situations. To monitor these scattered and shifting search patterns, an improved way of learning and analysis are needed. Traditional web search studies relied on the server transaction logs and single query instance analysis. Since people use multiple smart devices and their searching occurs intermittently through a day, a bundled query research could look at the whole context as well as penetrating search needs. To observe and analyze bundled queries, we developed a proprietary research software set including a log catcher, query bundling tool, and bundle monitoring tool. In this system, users' daily search logs are sent to our analytic server, every night the users need to log on our bundling tool to package his/her queries, a built in web survey collects additional data, and our researcher performs deep interviews on a weekly basis. Out of 90 participants in the study, it was found that a normal user generates on average 4.75 query bundles a day, and each bundle contains 2.75 queries. Query bundles were categorized by; Query refinement vs. Topic refinement and 9 different sub-categories.

• Journal of the Korean Geographical Society
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• v.42 no.1 s.118
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• pp.121-132
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• 2007

This paper examines the spatial and temporal variability in the water depth caused by artificial structures in Geum Estuary of South Korea. Water depth data set extracted from marine maps of 1979, 1990, 1996 and 2004 were used in a GIS to derive volumetric estimates of gains and losses of sedimentary material. Artificial structures caused above 2m in water depth to be shallow between 1979 and 2002 in the estuary system, particularly through disturbance of a natural transport in suspended sediment concentrations. The mutt significant change in suspended sediment transport were observed in area affected by embankment for fresh water, inducing the water depth shallower than before in almost 80% of the area. This was probably because of an continuous abundant mud supply from coastal river oven after blocking the fresh water. The spatial analysis made it possible to identify area wide patterns of water depth change subject to many different type of artificial structures, which tanner be acquired by traditional field sampling. It is anticipated thai this research could be used as a valuable reference to confirm the outputs from past field researches for sedimental process in more visual and quantitative manner.

• Journal of The Korean Association For Science Education
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• v.35 no.5
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• pp.919-929
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• 2015

This study aims to develop a modeling-based learning program about geologic structures and to reveal the relationship between the argumentation patterns and levels of students' mental models. Participants included 126 second grade high school students in four sessions of modeling-based learning regarding continental drift, oceanic ridges, transform faults, and characteristics of faults. A modeling-based learning program was implemented in two classes of the experimental group, and teacher-centered traditional classes were carried out for the other students in the comparison group. Science achievement scores and the distribution of students' mental models in experimental and comparison groups were quantitatively compared. The video-taped transcripts of five teams' argumentation were qualitatively analyzed based on the analytic framework developed in the study. The analytic framework for coding students' argumentation in the modeling-based learning was composed of five components of TAP and the corresponding components containing alternative concepts. The results suggest that the frequencies of causal two-dimensional model and cubic model were high in the experimental group, while the frequencies of simple two-dimensional model and simple cross sectional model were high in the comparison group. The higher the frequency of claims, an argumentation pattern was proven successful, and the level of mental model was higher. After the rebuttal was suggested, students observed the model again and claimed again according to new data. Therefore, the model could be confirmed as having a positive impact on students' argumentation process.

• The Research Journal of the Costume Culture
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• v.8 no.5
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• pp.648-659
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• 2000

Through this study I would like to examine the meaning system of the symbolized codes related with real costume figures of the abstract concept of the style of the mourning ceremonial dress in Chosun Dynasty as a variable cause of communication through non-language method by the structural analysis of coding of the ceremonial dress style and the meaning system of the codes centering on the traditional book of funeral etiquette dealing with hueneral cereony in the period. To achieve this purpose, I have used the symbolic theory of constructive concept by F. de Saussure, cultural notation theory of Roland Barthes & Umberto Eco, and structural style of costumes by Myung-Sook Han. The result of the study is as follows. 1. As Chosun Dynasty was a society in which people considered courtesy so much important and practiced the basic Confucian ideas of the three bonds and five moral disciplines in human relations, the characteristic of funeral rites in Chosun Dynasty consists in expression of the thoughts of moral ethics & relative systems and systems of clan rules, etc which was a langue determining the symbols of mourning ceremony dress because the mourning ceremony dress in the period should have the feature of a langue. The mourning ceremonial dresses in the period had five grades of the consume and the grades were determined to be classified into five levels according to the clan system of the chief mourner with sang, ha bang. And the method of the association of the mourning ceremonial dress codes had the six principles of Chinchin, Jonjon, Myoungboon, Chulip, Changyu, and Jongbok. 2. Regarding the mourning ceremonial costumes in Korean society, the meaning of funeral ceremony was expressed by the signifier and materials of the mourning costumes in the society. During the process of the funeral, the intangible feeling of condolence was the expression of mourning and the tangible mourning ceremonial dress was the signal with the lamentation meaning. Especially, characters and patterns were removed from the mourning ceremonial dresses in spite of their function of symbols and the styles of costumes were emphasized. Especially the meaning of condolences was symbolized by attachment of some small pieces of cloth on the upper garments. Hemp was mainly emphasized to be the material of the costumes and some different meanings showed according to the quality of the material hemp. The mourning ceremonial dresses were distinguished from ordinary dresses, which were emphasized because they gad some symbolic meaning of the mourning. 3. Considering the association of the synthetic relations of the costumes from the viewpoint that the mourning ceremonial dresses would be classified according to a system, the symbolization of them were avaliable by sex according to how to combine them and there were no distinction between social classes in the society.

• Korean Journal of Food Science and Technology
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• v.37 no.6
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• pp.1005-1011
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• 2005

Widespread distributions of repetitive DNA elements in bacteria genomes are useful for analysis of genomes and should be exploited to differentiate food-borne pathogenic bacteria among and within species. Enterobacterial repetitive intergenic consensus (ERIC) sequence has been used for ERIC-PCR genomic fingerprinting to identify and differentiate bacterial strains from various environmental sources. ERIC-PCH genomic fingerprinting was applied to detect and differentiate four major Gram-negative food-borne bacterial pathogens, Esherichia coli, Salmonella, Shigella, and Vibrio. Target DNA fragments of pathogens were amplified by ERIC-PCR reactions. Dendrograms of subsequent PCR fingerprinting patterns for each strain were constructed, through which relative similarity coefficients or genetic distances between different strains were obtained numerically. Numerical comparisons revealed ERIC-PCR genotyping is effective for differentiation of strains among and within species of food-borne bacterial pathogens, showing ERIC-PCR fingerprinting methods can be utilized to differentiate isolates from outbreak and to determine their clonal relationships among outbreaks.

• Korean Journal of Heritage: History & Science
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• v.46 no.2
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• pp.26-45
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• 2013

Sudden increase exceeding 30million in the number of smart phone users, and rising interest in the technology of augmented reality, is now trying to combine it with AR technology in other areas very much. The field of cultural heritage, which has been constructed by the Internet and 3D technology, is not unusual and this field is now rapidly changing thanks to the AR technology which can make users experience cultural heritage with high reality. The Palaces in Seoul, however, use fragmentary tools of information - lack of heritage commentators, leaflet, etc, even though the number of visitors is gradually increasing. Therefore, three-dimensional and comprehensive cultural heritage information service is needed with the guidance in the mobile era. This study utilizes the AR technology for building the Deoksugung Tourist Information Service Application(App.) applying the markerless-based recognition technology which is a more advanced tool than the location-based AR technology. This new AR technology can switch perceived real images such as the tablet of the King in the Palace of in the real world, patterns and pedestals into virtual world, which can reproduce the damaged cultural assets as 3D. This also composes photos of the past with the current buildings, which can increase people's interest and absorption of the contents, and helps them understand and be aware of Korean traditional culture and cultural heritage effectively. In addition, convergence between IT new technology, Augmented Reality(AR) and humanities through storytelling based implementation of cultural heritage in smart phone is attempted to demonstrate that there is strength in which augmented reality technique exerts infinite creativity based on actual reality world.