• Science of Emotion and Sensibility
• /
• v.9 no.spc3
• /
• pp.209-224
• /
• 2006

Hierarchy which is often named as the tree-structure is used to reduce complexity and show primitive structures of complicated information. This paper aims at explaining information-visualization methods using hierarchies in multimedia domains and prospecting the possible applications by examining how they affect the user's tasks involved in information-seeking activities. As a result, four types of information visualization methods named Treemap, Hyperbolic, Cone Tree and DOI Tree employed in multimedia domain, are presented and pros and cons of each method are explained in this paper. Another important part is defining the core tasks and other related-tasks in information-seeking activities, such as, overview, zoom, filter, details-on-demand, relate, history, and extract. Followings are major findings. Treemap uses 'overview' as the core task, which makes user to gain a overall meaning of the whole information cluster. Hyperbolic and DOI Tree apply 'Boom' task through the function of focus+context or by the function of meaningful scaling to magnify or downsize each node. Cone Tree, also, makes the information organizer to classify the patterns of information acquired in the process of users' information-seeking activities by using 'extract' task. Through this study, it is finally found out that the information-visualization methods using hierarchies in multimedia domains should incorporate the wide variety of functional needs related to users' information-seeking behaviors beyond the visual representation of information.

• Journal of Intelligence and Information Systems
• /
• v.9 no.1
• /
• pp.227-249
• /
• 2003

Prediction of corporate failure using past financial data is a well-documented topic. Early studies of bankruptcy prediction used statistical techniques such as multiple discriminant analysis, logit and probit. Recently, however, numerous studies have demonstrated that artificial intelligence such as neural networks can be an alternative methodology for classification problems to which traditional statistical methods have long been applied. In building neural network model, the selection of independent and dependent variables should be approached with great care and should be treated as model construction process. Irrespective of the efficiency of a teaming procedure in terms of convergence, generalization and stability, the ultimate performance of the estimator will depend on the relevance of the selected input variables and the quality of the data used. Approaches developed in statistical methods such as correlation analysis and stepwise selection method are often very useful. These methods, however, may not be the optimal ones for the development of neural network model. In this paper, we propose a genetic algorithms approach to find an optimal or near optimal input variables fur neural network modeling. The proposed approach is demonstrated by applications to bankruptcy prediction modeling. Our experimental results show that this approach increases overall classification accuracy rate significantly.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.48 no.5
• /
• pp.67-79
• /
• 2020

Plans to mitigate overheating in urban areas requires the identification of the characteristics of the thermal environment of the city. The key information is the distribution of higher and lower temperatures (referred to as "hotspot" or "coldspot", respectively) in the city. This study aims to identify the areas within Jeonju City that are suffering from increasing land surface temperatures (LST) and the factors linked to such this phenomenon. To identify the hot and cold spots, Local Moran's I and Getis-Ord Gi^* were calculated for the LST based on 2017 images taken using the thermal band of the Landsat 8 satellite. Hotspot analysis revealed that hotspot regions, (the areas with a high concentration of Land Surface Temperature) are located in the old town area and in industrial districts. To figure out the factors linked to the hotspots, a correlation analysis, and a regression analysis taking into account environmental covariates including Normalized Difference Vegetation Index (NDVI) and land cover. The values of NDVI showed that it had the strongest effect on the lowering LSTs. The results of this study are expected to provide directions for urban thermal environment designing and policy development to mitigate the urban heat island effect in the future.

• Journal of Technology Innovation
• /
• v.23 no.3
• /
• pp.201-223
• /
• 2015

Existing research on international standardization has largely taken a qualitative approach focusing on comparative studies of national institutions and policies on standards or international rivalries from the perspectives of international relations or innovation studies. While there exists a handful of quantitative studies, they are mostly confined to simple numeric counts of essential patents, new work item proposals, or secretaries staffing international standards development organizations (SDOs). This study aims to contribute to our understanding of the dynamics of international standardization by the analysis of the data coding systematically national activities in the standardization process of the International Organization for Standardization (ISO), by far the largest international SDO. Our analysis of the four critical types of standardization documents generated in the Working Group 7 of the ISO/IEC Joint Technical Committee 1 reveals interesting dynamics among key players of global ICT standards regime. First, while the US takes a dominant share of the personnel as well as new work item proposals for standardization, its quality of activities rather falls behind as it mostly focuses on keeping in check other countries' standardization activities. Second, European countries tend to spread their effort evenly across different types of standardization activities. Finally, despite such differences between the US and European countries, both rely heavily on multinational companies to gain an advantage in the voting stage of standardization process.

• Economic and Environmental Geology
• /
• v.34 no.4
• /
• pp.355-373
• /
• 2001

Palaeomagnesim of Paleozoic Tuwibong Type Sequence in Yemi area was studied with a total of 256 core-samples collected from 23 sites. The study area (geographical coordinates: 37.l8$^{\circ}$N, l28.610E) is located between Taebaek and Yongwol belonging to the northeastern part of the Okchon Belt. Thermal cleaning was a most effective method to extract stable characteristic remanent magnetization (ChRM) direction, even though AF cleaning also worked on some specimens. Mean ChRM direction of the Cambrian Hwajol Formation was different from the present-day field direction and showed maximum clustering (max. k value) at 100% bedding-tilt correction. However, it could not pass the fold test. Ordovician Makkol and Kosong Limestones as well as Permian Sadong and Kobangsan Formations have very weak NRM, and were remagnetized into the present-day field direction. ChRM directions from the Carboniferous Hongjom Formation passed both fold and reversal tests. IRM experiments and blocking temperature spectrum indicate that both magnetite and haematite are carrier of the primary magnetization. Palaeomagnetic pole position from the Carboniferous Hongjom Formation is very similar to that of contemporary North China Block (NCB) suggesting that the study area was a part of, or located very near to, the NCB during Carboniferous.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.7
• /
• pp.607-615
• /
• 2020

The purpose of this study was to analyze the research status and trends related to the industrial mathematics based on text mining techniques with a sample of 4910 papers collected in the SIAM Journal on Applied Mathematics from 1970 to 2019. The R program was used to collect titles, abstracts, and key words from the papers and to analyze topic modeling techniques based on LDA algorithm. As a result of the coherence score on the collected papers, 20 topics were determined optimally using the Gibbs sampling methods. The main results were as follows. First, studies on industrial mathematics were conducted in a variety of mathematics fields, including computational mathematics, geometry, mathematical modeling, topology, discrete mathematics, probability and statistics, with a focus on analysis and algebra. Second, 5 hot topics (mathematical biology, nonlinear partial differential equation, discrete mathematics, statistics, topology) and 1 cold topic (probability theory) were found based on time series regression analysis. Third, among the fields that were not reflected in the 2015 revised mathematics curriculum, numeral system, matrix, vector in space, and complex numbers were extracted as the contents to be covered in the high school mathematical curriculum. Finally, this study suggested strategies to activate industrial mathematics in Korea, described the study limitations, and proposed directions for future research.

• The Journal of the Korea Contents Association
• /
• v.7 no.5
• /
• pp.184-192
• /
• 2007

A social trend can change market trend because it influences on consumer's lifestyle. Therefore the trend has been considered as an important factor for planning and producing new items. If a new trend occurred, its impact on market needs to be examined. Recently, well-being became top global issue and it caused many changes on packaged food products. This study focuses on measuring the impact of well-being trend on package design. The range of products for this research is limited to packaged food product selling in discount stores because it is main category to show well-being trend. Generally, good package design generates impulsive buying at the point of purchase. Colors on packages are critical point for good product design and they are also reflecting social trend to meet their consumers' psychological desires. After gathering basic information from market research, several colors had been selected and classified. For providing specific evidences result from the trend, the role of four major colors have been compared and analyzed. Finally, questionnaire had been handed out to trendy consumers to reach consensus on well-being color.

• The Journal of the Korea Contents Association
• /
• v.17 no.11
• /
• pp.221-228
• /
• 2017

This paper aimed to find out the eco-friendly approach enabling to directly print patterns and dye colors on fabrics using leaves of plants. In the research process, I found out the 'eco-printing' which could effectively express unique colors and patterns of plants. While eco-printing can design the patterns and colors of plants in nature using the leaves of plant(Eucalyptus), it is difficult to implement because it is not systematically and academically investigated including the dictionary definition in Korea until now. Thus, I tried to define the eco-printing and natural dyeing using leaves or flowers of plants enabling to get natural patterns and colors and do the experimental research and production using the leaves of Eucalyptus. The leaves of Eucalyptus were arranged on a wool scarf and a silk scarf, tied and applied pressure to them and made pigments penetrate into fabrics by heating or steaming them. This approach is to directly print the patterns using the shapes of plants on fabrics unlike the existing approaches dyeing by extracting dyeing solution from natural materials. Furthermore, the change of colors was attempted by using the color fixers. In accordance with the results of this experimental research, the scarf design differentiated from the existing products could be acquired. It was identified that eco-printing could induce the color variables depending on the conditions of each material and environment. For improving the color variables, various kinds of fabrics and divers kinds of materials which can be easily acquired in a daily life will be investigated and compared. Furthermore, it is expected that the experimental research and production techniques on eco-printing be utilized when starting natural dyeing and the scope of natural dyeing be more expanded.

• The Journal of the Korea Contents Association
• /
• v.16 no.9
• /
• pp.51-65
• /
• 2016

The purpose of this study was to examine whether authentic leadership influenced positive psychological capital and change-oriented organizational citizenship behavior(CO-OCB) in airline service context. Moreover, this study was designed to test the mediating effect of positive psychological capital between authentic leadership and CO-OCB to provide fundamental and practical information for airline industry. A convenience sample of 390 flight attendants was surveyed and a total of 377 usable questionnaires were analyzed. Then hypotheses were tested using structural equation modelling(SEM). The results were as follows. Firstly, authentic leadership was divided into 'self-awarenese', 'relational transparency', internalized moral perspective' and 'balanced process'. Secondly, 'self-awarenese' and 'internalized moral perspective' influenced positive psychological capital. Thirdly, positive psychological capital influenced CO-OCB. Fourtjly, positive psychological capital had mediating effects partially between authentic leadership and CO-OCB.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.41 no.4
• /
• pp.93-101
• /
• 2004

A face boundary can be approximated by an ellipse with five-dimensional parameters. This property allows an ellipse detection algorithm to be adapted to detecting faces. However, the construction of a huge five-dimensional parameter space for a Hough transform is quite unpractical. Accordingly, we Propose a selectively attentional Hough transform method for detecting faces from a symmetric contour in an image. The idea is based on the use of a constant aspect ratio for a face, gradient information, and scan-line-based orientation decomposition, thereby allowing a 5-dimensional problem to be decomposed into a two-dimensional one to compute a center with a specific orientation and an one-dimensional one to estimate a short axis. In addition, a two-point selection constraint using geometric and gradient information is also employed to increase the speed and cope with a cluttered background. After detecting candidate face regions using the proposed Hough transform, a multi-layer perceptron verifier is adopted to reject false positives. The proposed method was found to be relatively fast and promising.