• Journal of Arbitration Studies
• /
• v.26 no.4
• /
• pp.83-109
• /
• 2016

Recently, China has brought many political, economical, and ideological changes in order to complete the "socialistic market economy." In terms of legal system, they make much effort to seek compatibility and stability of law and order. China recognizes that the breakdown of corruption, which is rampant in society, is an essential short-cut for national development. To realize anti-corruption reformation, it strengthens the supervision of relatives and close officials of high-ranking government officials. Recently, China has suffered from expanded trade disputes internationally and has also experienced severe management-labor conflicts domestically due to economic recession. From 2012 onward, civil lawsuit and other litigations have increased sharply. Also, they face severe conflicts in the land system. It is expected that many disputes arise due to speculation on rural housing. Meanwhile, Mongolia expands the size of trade with Korea in mutual cooperation since their diplomatic relation in 1990 by entering more than 20 treaties and agreements. As Mongolia has rich natural resources and Korea is equipped with advanced science and technology, the two countries have opportunities to develop mutually beneficial cooperative relations. Recently, the arbitration system has attracted attention instead of litigation as a means of dispute settlement in line with the expansion of trade between Korea and Mongolia. This study would be helpful to figure out desirable methods for dispute settlements in case of trade disputes among Korean companies that would advance into China and Mongolia.

• Journal of Digital Convergence
• /
• v.18 no.11
• /
• pp.459-464
• /
• 2020

This study is a study that analyzes the user experience of a virtual makeup application in the beauty industry where color or formulation testing is important. Recently, cases of beauty smart stores and beauty applications using AR and AI are increasing. However, since virtual makeup is different from testing a real product, it is necessary to derive needs through research from the user's side. In order to compare user preferences by using AR and AI cases, six factors based on the emotional interface model were analyzed through a questionnaire to identify items with statistically significant figures. As a result, the user felt comfortable with the virtual makeup function, but showed that it needs to be supplemented in terms of reliability. Since this study focused on the customer experience as a real user and identified the main experience factors and needs of virtual makeup through two types of comparison, it is hoped that this study will be useful as a prior study.

• Journal of Korean Elementary Science Education
• /
• v.33 no.2
• /
• pp.306-321
• /
• 2014

This study aims to analyze difficulties that pre-service elementary teachers experience in investigating the life cycle of a common cabbage butterfly in person. As difficulties they face during the process of this research, they pointed out collecting eggs, observing molting, creating environments for a breeding cage, feeding, building a breeding cage, and making butterfly specimens. Out of all the environmental difficulties related to their school fields, they pointed out a difficulty of time management most of all, followed by placing a breeding cage in the classroom and the lack of microscopes for observation. In regard to difficulties related to their evaluations on students' activities, they found it difficult to evaluate students' activity with the life cycle of an insect in the aspect of knowledge and even to set evaluation criteria. Besides, many of them responded that it would be appropriate to evaluate a research on the life cycle of an insect through a portfolio or an observation journal. In regard to difficulties in terms of teachers' knowledge, they found it difficult to understand insect molting, metamorphoses, complete metamorphoses, incomplete metamorphoses, the structure of an insect body, and how to distinguish a female insect from a male one. In regard to the application of class models, they knew it is important for students to have various experiences through direct observation, so the experience-based learning model was proper for the process of observing the life cycle of a common cabbage butterfly. However, they found it difficult for students to observe each stage of the life cycle in person.

• Journal of Ecology and Environment
• /
• v.33 no.4
• /
• pp.377-389
• /
• 2010

Understanding the factors relevant to endangerment and the patterns of habitat locations in relation to protected areas is critically important for the conservation of rare species. Although 64 plant species have recently been listed as endangered species in Korea, this information has, until now, not been available, making appropriate management and conservation strategies impossible to devise. Thus, we collected information on potentially threatening factors, as well as information on the locations in which these species were observed. The potentially threatening factors were classified into seven categories. National parks, provincial parks, ecosystem conservation areas, and wetland conservation areas were defined as protected conservation areas. Korean digital elevation model data, along with the maps of all protected areas were combined with the maps of endangered plant species, and analyzed via Geographic Information Systems (GIS). Excluding the category of "small population", endangered plant species in Korea were associated more frequently with extrinsic factors than intrinsic factors. Considering land surface only, all conservation areas in Korea totaled 4.9% of the land, far lower than International Union for Conservation of Nature and Natural Resources (IUCN)'s 10% coverage target. At the species level, 69% of the endangered plant species were detected in conservation areas, mostly in national parks. However, this result demonstrates that 31% of endangered species inhabit areas outside the conservation zones. Furthermore, at the habitat level, a large proportion of endangered species were found to reside in unprotected areas, revealing "gaps" in protected land. In the face of rapid environmental changes such as population increases, urbanization, and climate changes, converting these gap areas to endangered species' habitats, or at least including them in habitat networks, will help to perpetuate the existence of endangered species.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.7
• /
• pp.801-806
• /
• 2004

Although the technology for emotion recognition is important one which demanded in various fields, it still remains as the unsolved problem. Especially, it needs to develop the algorithm based on human facial image. In this paper, we propose the facial image analysis algorithm for emotion recognition. The proposed algorithm is composed as the facial image extraction algorithm and the facial component extraction algorithm. In order to have robust performance under various illumination conditions, the fuzzy color filter is proposed in facial image extraction algorithm. In facial component extraction algorithm, the virtual face model is used to give information for high accuracy analysis. Finally, the simulations are given in order to check and evaluate the performance.

• Journal of Korean Academy of Nursing
• /
• v.23 no.4
• /
• pp.617-630
• /
• 1993

Factors related to health promotion activities and quality of life in Korean women with arthritis have not been clearly identified. Predictors of health promotion might be identified that will enhance the well - being of this group. Accordingly, the findings of the study will contribute additional information about the relationship between health promotion and quality of life and will add to the research on quality of life of individuals with a leading cause of disability--arthritis. The purpose of the study was to examine the relationship of selected background factors (years of illness, perceived severity of illness, uncertainty in illness), perceived self- efficacy, and health promoting behaviors to the quality of life of Korean women with arthritis. A cross - sectional descriptive design was used in this study to investigate relationships among the variables of interest. The sample was composed of 96 women who had arhtrits and visited large university hospital in Seoul for regular check up or pre-scription of medication. The purpose of a descriptive correlational design was to determine the absence or presence of relationships among variables that were measurable (Polit & Hungler, 1981, p.147). The design of this study was appropriate because it yielded answers to the research questions and hypotheses regarding the relationships among the model variables. the Questionnaire contained demographic information, translated Mishel Uncertainty in illness Scale-Community form (MUIS-C) (Mishel, 1987), translated and modified Disease Course Graphic Scale(DCGS) which was developed by Braden (1990), translated Sherer. et al.’s General Self-Efficacy Scale (1982), The Health -Promoting Lifestyle Profile (HPLP), developed by Walker, Sechrist, and Fender (1987) and traslated to Korean by Ha, and quality of life was measured by Face Scale (Andrew, 1976). Several steps of verification for the translation process were carefully conducted. Data analysis included descriptive correlational statistics and multiple regression techniques. Health promotion was the only contributor to pre-dict quality of life. Results showed that enabling cognitive perceptual factor (self-efficacy) mediates the disruptive force (uncertainty in ill-ness) on achieving a health promoting self- help behavior. The findings of this study also indicated that illness - related variable of severity of illness was mediated by health promotion, which buffered it's impact on quality of life.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.05a
• /
• pp.300-303
• /
• 2011

Owing to the improvement in CPU processing speed of Phones (hardware of smartphone), 3D engines loading, and expansion of the usable capacity, next-generation smartphone game markets are rising briskly. Therefore, in creating 3D game characters, realistic and free-form animations in a small screen of a smartphone are becoming important. Through this paper, as a method of creating characters and operating for game characters to cause user's feeling, with NURBS data of MAYA, We completed a face in turns of eyes, a nose, and a mouth, and with Polygon Cube tool, modeled hands and feet. After dividing a cube into half and modeling it, through mirror copying We completed the whole body and modeled the low-polygon. Then to model realistic and free-form characters, We completed each detail with ZBrush and applied Divide level up to 4. Though they might look rough and exaggerated, We tried to express stuck-out parts and fallen-in parts effectively and smoothly with Smooth brush effect, map and design the low-polygon 3D characters.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.1
• /
• pp.144-150
• /
• 2017

Recently, deep learning is used for intelligent processing and accuracy improvement of data. It is formed calculation model composed of multi data processing layer that train the data representation through an abstraction of the various levels. A category of deep learning, convolution neural network is utilized in various research fields, which are human pose estimation, face recognition, image classification, speech recognition. When using the deep layer and lots of class, CNN that show a good performance on image classification obtain higher classification rate but occur the overfitting problem, when using a few data. So, we design the training network based on convolution neural network and trained our image data set for object classification in few class problem. The experiment show the higher classification rate of 7.06% in average than the previous networks designed to classify the object in 1000 class problem.

• Journal of The Korean Astronomical Society
• /
• v.48 no.1
• /
• pp.57-66
• /
• 2015

Monte-Carlo radiative models of the diffuse Galactic light (DGL) in our Galaxy are calculated using the dust radiative transfer code MoCafe, which is three-dimensional and takes full account of multiple scattering. The code is recently updated to use a fast voxel traversal algorithm, which has dramatically increased the computing speed. The radiative transfer models are calculated with the generally accepted dust scale-height of 0.1 kpc. The stellar scale-heights are assumed to be 0.1 or 0.35 kpc, appropriate for far-ultraviolet (FUV) and optical wavelengths, respectively. The face-on optical depth, measured perpendicular to the Galactic plane, is also varied from 0.2 to 0.6, suitable to the optical to FUV wavelengths, respectively. We find that the DGL at high Galactic latitudes is mostly due to backward or large-angle scattering of starlight originating from the local stars within a radial distance of r < 0.5 kpc from the Earth. On the other hand, the DGL measured in the Galactic plane is mostly due to stars at a distance range that corresponds to an optical depth of $${\sim_\sim}$$ 1 measured from the Earth. Therefore, the low-latitude DGL at the FUV wavelength band would be mostly caused by the stars located at a distance of $r{\leq}0.5$ kpc and the optical DGL near the Galactic plane mainly originates from stars within a distance range of $1{\leq}r{\leq}2kpc$. We also calculate the radiative transfer models in a clumpy two-phase medium. The clumpy two-phase models provide lower intensities at high Galactic latitudes compared to the uniform density models, because of the lower effective optical depth in clumpy media. However, no significant difference in the intensity at the Galactic plane is found.

• The Journal of the Korea Contents Association
• /
• v.10 no.2
• /
• pp.372-380
• /
• 2010

Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is one of the fastest growing field in the computer industry. Because of According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies. Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer buying patterns in automotive market with data mining using decision tree as a quinlan C4.5 and basic statics methods.