• Journal of The Korean Association For Science Education
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• v.32 no.3
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• pp.524-531
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• 2012

Categorization is an important human function used to process different stimuli. It is also one of the most important factors affecting measurement of a person's classification ability. Explicit categorization, the representative system by which categorization ability is measured, can verbally describe the categorization rule. The purpose of this study was to develop a prediction model for categorization ability as it relates to the classification process of living organisms using fMRI. Fifty-five participants were divided into two groups: a model generation group, comprised of twenty-seven subjects, and a model verification group, made up of twenty-eight subjects. During prediction model generation, functional connectivity was used to analyze temporal correlations between brain activation regions. A classification ability quotient (CQ) was calculated to identify the verbal categorization ability distribution of each subject. Additionally, the connectivity coefficient (CC) was calculated to quantify the functional connectivity for each subject. Hence, it was possible to generate a prediction model through regression analysis based on participants' CQ and CC values. The resultant categorization ability regression model predictor was statistically significant; however, researchers proceeded to verify its predictive ability power. In order to verify the predictive power of the developed regression model, researchers used the regression model and subjects' CC values to predict CQ values for twenty-eight subjects. Correlation between the predicted CQ values and the observed CQ values was confirmed. Results of this study suggested that explicit categorization ability differs at the brain network level of individuals. Also, the finding suggested that differences in functional connectivity between individuals reflect differences in categorization ability. Last, researchers have provided a new method for predicting an individual's categorization ability by measuring brain activation.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.219-222
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• 2009

Rapid object recognition is one of the main stream research themes focusing to reveal how human recognizes object and interacts with environment in natural world. This field of study is of consequence in that it is highly important in evolutionary perspective to quickly see the external objects and judge their characteristics to plan future reactions. In this study, we investigated how human detect natural scene objects and categorize them in a limited time frame. We applied Magnetoencepahlogram (MEG) while participants were performing detection (e.g. object vs. texture) or basic-level categorization (e.g. cars vs. dogs) tasks to track the dynamic interaction in human brain for rapid object recognition process. The results revealed that detection and categorization involves different temporal and functional connections that correlated for the successful recognition process as a whole. These results imply that dynamics in the brain are important for our interaction with environment. The implication from this study can be further extended to investigate the effect of subconscious emotional factors on the dynamics of brain interactions during the rapid recognition process.

• Korean Institute of Interior Design Journal
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• v.17 no.3
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• pp.51-58
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• 2008

Lately, in public libraries, there are various service programs for child user by corresponding to importance of reading based education and also a variety of changes by accommodating family based cultural life style. Therefore there is a need for space planning based study on unit-data room. This study gives guide-line of space planning through categorizing of space plot and furniture lay-out in child data room. The researcher, as a first step, searched web sites of 29 data rooms of 26 libraries and summarized space plots and features of data rooms through in-person visits. Then the author made a categorization standard and did a general analysis of featured data rooms through multiple categorization steps. There are Basic Type, General Type, Book-Shelf Centered Type, Book-shelf Scattered type and Multi-Functional Type out of this categorization steps. In sum, six categorizing bases, dividing infant room from child room, space zonning, position of entrance, compactness of reading space, position of book-shelf and orientation of book-shelf will be important design standards for child data-room of future libraries and an effective guide-lines for other unit data-rooms.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.400-409
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• 2001

In conceptual design of engineering devices, a designer decomposes a required function into sub-functions, so-called functional decomposition, using a kind of functional knowledge representing achievement relations among functions. However, such knowledge about functionality of engineering devices is usually left implicit because each designer possesses it. Even if such knowledge is found in documents, it is often scattered around technical domains and lacks consistency. Aiming at capturing such functional knowledge explicitly and sharing it in design teams, we discuss its systematic description based on functional ontologies which provide common concepts for its consistent and generic description. We propose a new concept named “was of achievement” as a key concept for capturing such functional knowledge. Categorization of typical representations of the knowledge and its organization as is-a hierarchies are also discussed. The generic concepts representing functionality of a device in the functional knowledge are provided by the functional concept ontology, which makes the functional knowledge consistent and applicable to other domains. We also discuss development of a design supporting system using the systematized knowledge, called a functional was server. It helps human designers redesign an existing engineering device by providing a wide range of alternative ways of achievement of the required function in a manner suitable for the viewpoint of each designer and then facilitates innovative design.

• Journal of Korean Society of Rural Planning
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• v.1 no.2
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• pp.33-42
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• 1995

For formulation of the rational land us2 plan in regional base, it is a basic and prior condition to categorize total planning area into some functional subregions by purposely-selected indicators. As one of quantitive approaches to the areal categorization in rural area, Principal Component Analysis(PCA) was introduced and testified its applicability through a case study on Sunheungdistrict(called as myun in Korea) area, Youngpoong-county, Kyungbuk-province, Korea. Areal analysis by PCA was carried out on rurality and urbanity of parish-level area(ri in Korea) respectively. By use of PCA analysis results, classifying matrix was made through categorization of both index scores. Among 18 ri's of the case study area, 12 was classified as rural-dominated areas, 2 as urban- dominated areas, and reamaining 3 as intermediate areas.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.125-125
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• 2017

The roots of Platycodon grandiflorum are commonly used for treating bronchitis, asthma, tuberculosis, diabetes, and other inflammatory diseases. Since the molecular mechanism underlying the roots of the plant is unclear. Therefore, the present study was conducted to profile proteins from liquid cultured tetraploid roots of Platycodon grandi orum fl using high throughput proteome approach. Two-dimensional gels stained with CBB, a total of 659 differentially expressed proteins were identified from the liquid medium cultured tetraploid roots of which 32 proteins spots (${\geq}1.5-fold$) were sorted for mass spectrometry analysis. Out of these 32 proteins, a total of 15 proteins were up-regulated such as Serine carboxypeptidase-like 27, Transcription factor bHLH150, 60 kDa jasmonate-induced protein, Cytosolic Fe-S cluster assembly factor NBP35, Regulatory associated protein of TOR 2 and a total of 17 proteins were down-regulated such as Protein G1-like2, Phenylalanine ammonia-lyase, Fructokinase-2, Trihelix transcription factor GT-3a, Guanine nucleotide-binding protein alpha-1 subunit. However, the frequency distribution of identified proteins was carried out within functional categories based on molecular functions, cellular components, and biological processes. Functional categorization revealed that the most of the identified proteins from the explants were mainly associated with the nucleic acid binding, oxidoreductase, transferase activity, protein binding and hydrolase activity. In addition, the proteomic feedback of tetraploid roots of P. grandiflorum may potentially be used to understand the characteristics of proteins and their functions.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.54 no.3
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• pp.332-338
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• 2009

Rapid extension of genomic database leads to the remarkable advance of functional genomics. This study proposes a novel methodology of functional analysis using 5-methyltrytophan (5 MT) mutant together with their 2-DE analysis and public microarray database. A total of 24 proteins was changed in 5 MT mutant and four remarkably different expressed proteins were identified. Among them, three spots were converted to Affymetrix probe. A total of 155 microarray samples from Gene Expression Omnibus (GEO) in NCBI was retrieved and followed by constructing gene co-expression networks over a broad range of biological issues through Self-Organising Tree Algorithm. Three co-expressing gene clusters were retrieved and each functional categorization with differential expression pattern was exhibited from 5 MT resistance mutant rice. It was indicated new co-expression networks in the mutant. This study suggests that on investigating possibility which correspond 2-DE to microarray database with their full potential.

• Journal of the Korean Geographical Society
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• v.49 no.4
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• pp.601-614
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• 2014

The purpose of this study is to investigate high school students' geographic misconceptions and their mechanisms of formation. Three main theories explaining why students develop misconceptions exist: 1) framework theory, 2) p-prim(phenomenological primitive) theory, and 3) categorization theory. This study chose three target geographic concepts, or, 1st and 2nd mountain ranges, secondary central business district and satellite city, and the Nopsae wind and the F$\ddot{o}$hn phenomenon. Then, this research explored students' typical misconceptions regarding these concepts and attempted to examine which theory explains the misconception forming processes most well. As a result, the following misconceptions were found. First, students understood that the numbers 1 and 2 denote the order of the formation of mountain ranges. Second, despite differences in their main functions, students tended to subsume the secondary central business district and satellite city under one functional category. Third, students believed that the Nopsae wind and the F$\ddot{o}$hn phenomenon are identical in hierarchy. This study explained students' creation of these misconceptions by applying the categorization theory in which students located a concept in an inappropriate location of an ontology tree.

• Journal of Families and Better Life
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• v.31 no.1
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• pp.29-37
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• 2013

The purposes of the study were to try configuring categorization of floor plans of elderly centers located in apartment complexes and to find out the spatial transfigurations regarding floor plan types. The data for the analysis of the study were collected from 56 elderly centers of apartment complexes in Ulsan by observations and interviews from July 3 through 13, 2012. The results are as follows. Firstly, the floor plans of the elderly centers were categorized into six types, which were 2R+L+K, 2R+LK, 1R+L+K/1R+LK, 1RL+K, 1RLK, and 2R+K/1R+K(no living room). Secondly, there were no salient differences among the plan types for the characteristics of physical environment of the centers. The types of 2R+L+K were relatively big in size and two thirds of the centers had gender-segregated rooms. Lastly, spatial transfigurations was found in sixty-percent of the centers, which included change of spatial arrangement, functional change, and functional addition. Interestingly, the more the spaces were segregated, the more the spatial transfigurations were performed in the way for the integration of functions of the rooms.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.384-404
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• 2019

This study investigates the multidimensional structure of apparel design evaluation criteria and the details of each criterion by exploring how female college students majoring in apparel design in their 20s evaluate apparel design based on an exploratory approach. Data were analyzed through a categorization method of qualitative data after collecting from a literature review and three focus group interviews. The results identified the six evaluation criteria of apparel design (functional usefulness, convenience, aesthetics, psychological self suitability, social activity usefulness, and fashion trend). Functional usefulness and convenience assessed the extent to which primary features of apparel are reflected in apparel design, and aesthetics evaluated the aesthetic beauty of apparel design. Psychological self suitability estimated the extent to which apparel design expressed psychological self properly, and social activity usefulness appraised the extent to which apparel design contributed to the social activities of wearers. Last, fashion trend assessed the extent to which apparel design reflected fashion trend. The study results provide meaningful implications towards an apparel industry that wants to develop apparel design that appeals to consumers, educational institutions that aim to cultivate well-trained professionals in the apparel industry, and consumers who want to purchase clothes of satisfactory design.