• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.59-80
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• 2004

As industrial development standardizes the quality of products, people are increasingly attracted by a certain brand with intangible value. Consumers, surrounded by a variety of brand in a market, want to have relationships with specific brands reflected by their personality. Especially in fashion, brand personality is more important since products are highly involved in terms of personal emotion. The purpose of the study is to identify the dimension of overall fashion brand personality, to specify the 'Dimension of Fashion Brand Personality' according to fashion product categories (i.e., formal wear, casual wear, sports wear), and to investigate the effect of each dimension of fashion brand personality on brand preference and purchase intention. The results were as follows: Firstly, based on Aaker(1997)'s 'Big five factors' and selection fashion brand personality factors from our pretest, the fashion brand personality factors were verified as 'Fashionable/ Innovative', 'Sincere', 'Universal! Stable', 'Professional'. Secondly, according to fashion product categories, brand personality was defined as below. Brand personality for formal wear included 'Innovative/ Active', 'Stable', 'Professional', and 'Universal'. Brand personality for casual wear included 'Fashionable/ Innovative', 'Active', 'Sincere', and 'Stable'. Brand personality for sports wear included 'Innovative', 'Social', 'and 'Sincere'. Finally, overall fashion brand personality factors (' Sincere', 'Universal! Stable', 'Professional') influenced on brand preference and purchase intention. In formal wear, 'Professional' influenced on brand preference and purchase intention. In casual wear, 'Active' influenced on brand preference, but 'Fashionable' and 'Sincere' influenced on purchase intention. In sports wear, 'Sincere' influenced on brand preference and 'Innovative' influenced on purchase intention.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.59-74
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• 2015

The purpose of this study is to analyze reasonable green area ratios for mitigating urban heat island considering various land use types. Land uses of 5 types such as single residential, multi residential, commercial area, public facility, and industrial area were considered. Green areas were extracted from the tree attribution of land cover. Effect of urban heat island was analysed by the surface temperature of ASTER thermal infrared radiance scanned daytime and nighttime. Mitigation effect of green area at daytime was higher than nighttime. Surface temperature of green area was low in single residential at daytime. But the difference of surface temperature by each land use type was small. The effect of surface temperature mitigation of green area was lower in industrial area. The results of reasonable green area ratios for mitigating urban heat island indicate that surface temperature was the lowest with green area ratio of 40~50% in single residential, multi residential, and commercial area at daytime. Surface temperature of nighttime was not changed much by green area ratios. Therefore, the results of this study will be suggested in urban development planning to construct effectively green area for mitigating urban heat island.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.3
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• pp.661-668
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• 2018

Biomedical signals using skin resistance have different characteristics according to stress diseases. Biological diagnostic devices for diagnosing stress diseases have been developed by using these characteristics, and devices have been developed so that the signals measured by the skin storage meter can be easily analyzed. Experts in the field will look directly at the output signal to determine the likelihood of any stress disorder. However, it is very difficult for a person to accurately determine whether a person to be measured has a stress disorder by analyzing a bio-signal measured by each person to be measured, and the result of the judgment is very likely to be wrong. In order to solve these problems, we implemented the function of determining the signal of a stress disorder by using the machine learning technique. SVM was used as a classification method in consideration of low computing ability of measurement equipment. Training data and test data were randomly generated for each disease using error range 5 based on 13 diseases. Simulation results showed more than 90% decision accuracy. In the future, if the measurement equipment is actually applied to the patients, we can retrain the classifier with the newly generated data.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.1
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• pp.9-20
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• 2005

Recently, the MPEG-7 standard a multimedia content description standard is wide]y used for content based image/video retrieval systems. However, since the descriptors standardized in MPEG-7 are usually multidimensional and the problem called 'Curse of dimensionality', previously proposed indexing methods(for example, multidimensional indexing methods, dimensionality reduction methods, filtering methods, and so on) could not be used to effectively index the multimedia database represented in MPEG-7. This paper proposes an efficient multimedia data indexing mechanism reflecting the characteristics of MPEG-7 visual descriptors. In the proposed indexing mechanism, the descriptor is transformed into a histogram of some attributes. By representing the value of each bin as a binary number, the histogram itself that is a visual descriptor for the object in multimedia database could be represented as a bit string. Bit strings for all objects in multimedia database are collected to form an index file, bitmap index, in the proposed indexing mechanism. By XORing them with the descriptors for query object, the candidate solutions for similarity search could be computed easily and they are checked again with query object to precisely compute the similarity with exact metric such as Ll-norm. These indexing and searching mechanisms are efficient because the filtering process is performed by simple bit-operation and it reduces the search space dramatically. Upon experimental results with more than 100,000 real images, the proposed indexing and searching mechanisms are about IS times faster than the sequential searching with more than 90% accuracy.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.546-556
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• 2017

This study aims to find out the key factors that could influence on regional development strategy to use cultural resources. The methods employed are Meta-analysis with 61 case studies in order to draw related factors and Analytic Hierarchy Process with 68 experts in order to analyze the relative importance of important factors. The main findings are as follows: 26 critical factors are drawn from the case studies and they could be classified into four categories, named as 'the capacity building to excavate and utilize cultural resources which are having potential power', 'the establishment of institutional basis for making projects good progress', 'the boosting of internal capability of locals in the process of project', and 'the preparation of cultural governance and multidirectional networking strategies among persons concerned or stakeholder'. The analysis of relative importance of factors shows that among others, 'the capacity building to excavate and utilize cultural resources which are having potential power' is the most fundamental factors to achieve policy goals. There are few studies that have drawn factors from multi-case studies. In this respect, it is far from being complete but meaningful to a little more enhance the generalization of research findings.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.2
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• pp.177-187
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• 1999

Up to date, in many application fields of GSIS, we usually have used vector-based spatial overlay or grid-based spatial algebra for extraction and analysis of spatial data. But, because these methods are based on traditional crisp set, concept which is used these methods. shows that many kinds of spatial data are partitioned with sharp boundary. That is not agree with spatial distribution pattern of data in the real world. Therefore, it has a error that a region or object is restricted within only one attribution (One-Entity-one-value). In this study, for improving previous methods that deal with spatial data based on crisp set, we are suggested to apply into spatial overlay process the concept of fuzzy set which is good for expressing the boundary vagueness or ambiguity of spatial data. two methods be given. First method is a fuzzy interval partition by fuzzy subsets in case of spatially continuous data, and second method is fuzzy boundary set applied on categorical data. with a case study to get a land suitability map for the development site selection of new town, we compared results between Boolean analysis method and fuzzy spatial overlay method. And as a result, we could find out that suitability map using fuzzy spatial overlay method provide more reasonable information about development site of new town, and is more adequate type in the aspect of presentation.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.21 no.2
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• pp.71-79
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• 1988

For the purpose of producing low salt fermented anchovy by accelerated method with a strong proteolytic bacteria, in this study, a strong proteolytic bacterium was isolated from low salt fermented anchovy and its bacteriological characteristics and properties of protease were experimented. The results obtained were as fellows : three proteolytic bacteria, Aeromonas anaerogenes Barillus subtilis and Staphylococcus saprophyticus were isolated from low salt fermented anchovy($4\%\;of\;salt,\;4\%\;of\;KCl,\;0.5\%\;of\;lactic\;acid,\;6\%$of sorbitol and $4\%$ of alcohol extract of red pepper) after 40 days fermentation. Among these strains, which grow best at $30^{\circ}C$, pH 7.0, B. subtilis was found the best proteolytic strain and benefit for industrial use as shown $0.95\;hr^{-1}$ of specific growth rate, $89{\mu}g-Tyr/hr.ml$ of maximum activity after 12 hrs culture in TPY broth. The protease produced by by B. subtilis showed maximum activity at $35^{\circ}C$, pH 7.0, and molecular weight was estimated to be 23,000 by Sephadex G-100 filtration, and it was supposed to be a kind of metal chelator sensitive neutral protease from the results of strong sensitivity against EDTA, o-phenanthroline and metal ions such as $Cu^{2+},\;Ni^{2+},\;Fe^{2+}.Km$ value of that by method of Lineweaver-Burk was determinded to be $0.73\%$ for casein as a substrate.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.120-126
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• 2009

As the information age grows rapidly, the amount of digital texts has been increasing as well. It has brought an increasing of visualization case in order to figure out lots of digital texts. Existing visualized design of digital text is merely concentrating on figuration of subject word through adoption of stemming algorithm and word frequency extraction, prominence of meaning of text, and connection in between sentences. So it is a fact that expression of rhythm that can visualize sentimental feeing of digital text was insufficient. Syllable is a phoneme unit that can express rhythm more efficiently. In sentences, syllable is a most basic pronunciation unit in pronouncing word, phase and sentence. On this basis, accent, intonation, length of rhythm factor and others are based on syllable. Sonority, which is most closely associated with definitions of syllable, is expressed through air flow of igniting lung and acoustic energy that is specified kinetic energy into sonority. Seen from this perspective, this study examines phonologic definition and characteristics based on syllable, which is properties of digital text, and research the way to visualize rhythm through diagram. After converting digital text into phonetic symbol by the experiment, rhythm information are visualized into images using degree of resonance, which was started from rhythm in all languages, and using syllable establishment of digital text. By visualizing syllable information, it provides syllable information of digital text and express sentiment of digital text through diagram to assist user's understanding by systematic formula. Therefore, this study is aimed at planning for easy understanding of text's rhythm and realizing visualization of digital text.

• The KIPS Transactions:PartB
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• v.12B no.1 s.97
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• pp.47-56
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• 2005

A moving object has a various features that its spatial location, shape, and size are changed as time goes. In addition, the moving object has both temporal feature and spatial feature. It is one of the highly interested feature information in video data. In this paper, we propose an efficient content-based multimedia information retrieval system, so tailed ECoMOT which enables user to retrieve video data by using a trajectory information of moving objects in video data. The ECoMOT includes several novel techniques to achieve content-based retrieval using moving objects' trajectories : (1) Muitiple trajectory modeling technique to model the multiple trajectories composed of several moving objects; (2) Multiple similar trajectory retrieval technique to retrieve more similar trajectories by measuring similarity between a given two trajectories composed of several moving objects; (3) Superimposed signature-based trajectory indexing technique to effectively search corresponding trajectories from a large trajectory databases; (4) convenient trajectory extraction, query generation, and retrieval interface based on graphic user interface

• Journal of the Korean Geographical Society
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• v.48 no.1
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• pp.1-18
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• 2013

The mountain region in Korea has been known as 70% of total area and most Korean people have recognized Korea as the mountainous country. Those concepts are thought to be mislead by the definition of the Korea Forest Service for the mountain region. According to KFS's definition based on the land-use, the forest and farmland at the low altitude are also included in the mountain region. In this study, firstly, the geomorphological mountain region is extracted according to the definition of Kapos et al. (2000). The rates of mountain region in S. Korea, N. Korea, Korea Peninsular are 31%, 51%, 42% respectively. And the rates between mountain area and non-mountain area in the 300-1000m and 1000-2500m intervals are considerably different due to the existence of plateaus such as high-level plain surfaces. Secondly, using the overlay analysis in GIS, the distribution of mountain areas are compared with that of order-mountains' areas defined by Qui and SON (2010). Even in case of the 5th order, the highest order mountains, the hill & plain and non-mountain areas are included in that mountain area. It is possible to suggest that the definition of the KFS is completely different from the academic, realistic and epistemic definition for mountain area, and the geomorphological definition of mountain area is useful to classify the mountain area according to the its physical properties. Therefore, it would be expected that the definition contributes the development of methodologies on the scientific management of mountain area in future.