• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.6
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• pp.1151-1165
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• 1996

The purpose of this study was to identify the pratical applicability of person-situation benefit segmentations of the female apparel market in Seoul by a prior segmentation method. The specific objectives of this study were 1) to identify the useful demographic variables for person-situation benefit segmentations of the female apparel market, 2) to assess that person- situation benefit segmentations of 1.he female apparel market are accessit)le by developing a profile of each segment based on the interactions of situation and personal characteristics on perceived risk, importance of store attributes and store-type choice, and on brand type prefered by each segment. 3) to assess the validity of person-situation benefit segmentations of the female apparel market in terms of easy accessibility. The data were collected via a questionnaire from 601 housewives of ages 20's to 50's living in Seoul, Korea. The data were analyzed by factor analysis, repeated measure two- way ANOVA and X2-test. The results of this study were as follows. First, the age-by-situation segmention basis and the education-by-situation segmention basis were useful for person-situation benefit segmentations of the female apparel market. Second, there were found three benefit segments (Youth/Fashion oriented users, Brand oriented users and Apathetic users of clothing) using age-by-situation segmention basis. Using education-by-situation segmention basis, five segments (Economic-value, Youth/Fashion, Brand/Self-expression Self-expression, and Apathetic users of clothing) were identified. And beifit segments classified by the age-by-situation segmention and education-by-situation segmention approach were accessible. Third, the pratical applicability of person-situation befeift segmentations of the female apparel market by a prior segmentation method were suggested.

• Journal of the Korea Computer Graphics Society
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• v.6 no.1
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• pp.19-27
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• 2000

This paper proposes a non-self-intersecting multiresolution deformable model to extract and reconstruct three-dimensional boundaries of objects from volumetric data. Deformable models offer an attractive method for extracting and reconstructing the boundary surfaces. However, convensional deformable models have three limitations- sensitivity to model initialization, difficulties in dealing with severe object concavities, and model self-intersections. We address the initialization problem by multiresolution model representation, which progressively refines the deformable model based on multiresolution volumetric data in order to extract the boundaries of the objects in a coarse-to-fine fashion. The concavity problem is addressed by mesh size regularization, which matches its size to the unit voxel of the volumetric data. We solve the model self-intersection problem by including a non-self-intersecting force among the customary internal and external forces in the physics-based formulation. This paper presents results of applying our new deformable model to extracting a sphere surface with concavities from a computer-generated volume data and a brain cortical surface from a MR volume data.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.37-47
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• 2010

Along with language, emotion is an effective means of expression. By expressing our emotions as well as speaking language, we can deliver our message better. Because each person expresses the same emotion differently, this expression is a useful gauge to measure an individual personality. To avoid monotonous emotional expression from virtual characters, therefore, it is necessary to adjust the creation and deletion of the same emotion depending on each character's personality. This paper has attempted to define personality characteristics that have an impact on each emotion and propose a method to adjust the emotions. Furthermore, the relationship between particular emotion and personality characteristics has been defined by matching the significance of specified personality characteristics with the lexical meaning. In addition, using the Raw Score, the weighted value which is necessary for the adjustment, continuance and deletion of each emotion has been defined. Then, emotion was properly adjusted. When the same emotion was adjusted using actual personality test data, different results have been observed by personality. This paper has been conducted using NEO Personality Inventory (NEO-PI) which consisted of 5 broad domains and 30 sub domains.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.306-311
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• 2015

This study aims at analyzing the convergence of Internet-of-Things and wearables technologies using cooperative patent classification(CPC). CPC, introduced to an increasing number of technological fields of Korean patents, is expected to be widely used in Patent Informatics because the classification codes in CPC are more specific than those of IPC, which reflect the characteristics of technologies in detail with accuracy. CPC has seldom been used up to date and most of the previous researches on technological convergence used IPC. As a pre-analysis step for analyzing the trend of technological convergence of IoT and wearables, CPC and IPC codes assigned to each patent were compared. By applying association rule mining to the analysis of CPC codes, we identified the technological fields where convergence frequently takes place and examined the trend of technological convergence over time.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.207-225
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• 2010

Terms collected from theological dictionaries in English and the Scripture are used in order to construct conceptual relationships of theological thesaurus. Using the terms, equivalence relationships, hierarchical relationships, and associative relationships as the basic relationships in thesaurus are constructed. In equivalence relationships, Hebrew, Greek, and Latin terms are included as descriptors and in hierarchical relationships, generic, instance, whole-part, and polyhierarchical relationships are constructed. Also, there is no big difference in the kinds of conceptual relationships between this theological thesaurus and the thesauri of other subjects. Examples of Biblical Theology are showed. Because Biblical Theology has a strong point to view the Scripture and Protestantism on comprehensive perspective. In this context, one of the main feature in the theological thesaurus is that there are a lot of the allegorical terms. Typology, which is the core structure causes this result.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.13 no.1
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• pp.45-53
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• 2015

Since the commercial operation of Kori Unit #1 nuclear power plant(NPP) started in 1978, 23 units at present are operating in Korea. Radioactive wastes will be steadily generated from these units and accumulated. In addition, the life-extension of NPPs, construction of new NPPs and decontamination and decommissioning research facilities will cause radioactive wastes to increase. Recently, Korea has revised the new classification criteria as was proposed by IAEA. According to the revised classification criteria, low-level, very-low-level and exempt waste are estimated to about 98% of total disposal amount. In this paper, current status of overseas cases and disposal method with new classification criteria are analyzed to propose the most reasonable method for estimating the amount of decommissioning waste when applying the new criteria.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.330-337
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• 2018

Recently, there has been a growing interest in user-centered smart city services. In this study, user behavior analysis was performed as a preliminary study for user - centered smart city service planning. In particular, we will use GIS based location analysis data and video ethonography methodology to derive smart city service direction and needs. In this study, the area of Daejeon Design District selected as the Smart City Test bed was selected as the survey area and the location analysis data of the traffic accident analysis system of the road traffic corporation and the fixed camera We observed user's behavior type and change with image data extracted through the technique. Location analysis data is classified according to the type of accident, and image data is classified into 11 subdivided types of user activities. The problems and specificities observed were analyzed. The user behavior characteristics investigated through this study are meaningful to provide a basis for suggesting user - centered smart city services in the future.

• Korean Journal of Construction Engineering and Management
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• v.12 no.6
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• pp.31-41
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• 2011

Since the cases of time extension have continuously transpired in the public construction project, the potential of economical loss and claims is increasing because the concerned parties such as an owner or a contractor have not properly performed their own responsibility for time extension. One of the main reasons is that the present planning and scheduling do not support the method to apportion the proper responsibility to the right party. This problem has repeatedly led to time extension and made it difficult for the concerned parties to perform the responsibility for time extension. In order to overcome this problem, a framework of delay administration is required as the method to apportion the proper responsibility to the right party. To solve this problem, this paper aimed to develop the conceptual model and prototype system as the practical method to administrate delay causation. Furthermore, the verification result for the reliability and applicability throughout the case studies on real construction projects shows that the conceptual model and prototype system developed would help efficiently to administrate the delay causation.

• Smart Media Journal
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• v.9 no.3
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• pp.90-97
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• 2020

With the development of the Internet and smartphones, digital sound sources are easily accessible, and accordingly, interest in music search and recommendation is increasing. As a method of recommending music, research using melodies such as pitch, tempo, and beat to classify genres or emotions is being conducted. However, since lyrics are becoming one of the means of expressing human emotions in music, the role of the lyrics is increasing, so a study of emotion classification based on lyrics is needed. Therefore, in this thesis, we analyze the emotions of the farewell lyrics in order to subdivide the farewell emotions based on the lyrics. After constructing an emotion dictionary by vectoriziong the similarity between words appearing in the parting lyrics through Word2Vec learning, we propose a method of classifying parting lyrics emotions using Word2Vec and LSTM, which classify lyrics by similar emotions by learning lyrics using LSTM.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.2
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• pp.247-255
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• 2020

Currently, urban regeneration is carried out mostly in a permanent and fixed way of planning, and due to the nature of the master plan, it is limited to immediately accepting the opinions of residents. In this study, the factors of idle space were derived based on a temporary use strategy, and the direction of idle space was presented by comparing the importance of experts with the survey of residents' perceptions and preferences. As a result, residents preferred to improve the aging physical environment first because of the target location characteristics, while experts ranked it in line to reflect the importance of the use of temporary uses that can quickly improve the urban environment. Therefore, it is desirable to recognize the importance of the temporary use strategy and to refine the priorities of the two groups and conduct a temporary test to derive the optimal utilization measures and reflect them in the master plan. In order to implement a temporary use strategy in the future, it is necessary to present a space utilization plan that reflects detailed prior investigation through analysis of target location characteristics and usage patterns.