• Journal of Contemporary Eastern Asia
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• v.17 no.1
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• pp.94-111
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• 2018

This study examines Korea's international development volunteer program as a citizen diplomacy initiative. Informed by a cultural perspective of transmission and relational models of public diplomacy, I examine the ways in which volunteer training incorporates cultural-learning into its program. The study finds that volunteer training is largely based on an instrumentalist approach to culture that places emphasis on learning the "explicit" side of culture, such as Korean traditional dance, art, and food as a strategy to promote the country's national image. In contrast, much less covered in the training program is a relational approach to culture-learning that is guided by a reflexive understanding of the "implicit" side of culture, or the values and beliefs that guide the worldviews and behavior of both volunteers and host constituents. Whereas the value of the volunteer program as a citizen diplomacy initiative is in its potential to build relationships based on two-way engagement, its conception of culture is mostly guided by that of the transmission model of public diplomacy. Based on the findings, this study calls for an integrated approach to culture-learning in volunteer training program to move the citizen diplomacy initiative forward.

• Korean Journal of Computational Design and Engineering
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• v.10 no.2
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• pp.143-150
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• 2005

A design framework to employ the multidisciplinary design optimization technologies on a computer system has been developed and is named as the Extensible Multidisciplinary Design Integration and Optimization System (EMDIOS). The framework can not only effectively solve complex system design problems but also conveniently handle MDO problems. Since the EMDIOS exploits both state-of-the-art of computing capabilities and sophisticated optimization techniques, it can overcome many scalability and complexity problems. It can make users who are not even familiar with the optimization technology use EMDIOS easily to solve their design problems. The client of EMDIOS provides a front end for engineers to communicate the EMDIOS engine and the server controls and manages various resources luck as scheduler, analysis codes, and user interfaces. EMDIOS client supports data monitoring, design problem definition, request for analyses and other user tasks. Three main components of the EMDIOS are the Engineering Design Object Model which is a basic idea to construct EMDIOS, EMDIOS Language (EMDIO-L) which is a script language representing design problems, and visual modeling tools which can help engineers define design problems using graphical user interface. Several example problems are solved and EMDIOS has shown various capabilities such as ease of use, process integration, and optimization monitoring.

• Smart Media Journal
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• v.1 no.3
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• pp.22-28
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• 2012

As the smart media becomes more popular, the demand for high-quality 3D images and depth maps is increasing. However, performance of the current technologies to acquire depth maps is not sufficient. The depth maps from stereo matching methods have low accuracy in homogeneous regions. The depth maps from depth cameras are noisy and have low-resolution due to technical limitations. In this paper, we introduce the state-of-the-art algorithms for depth map enhancement and up-sampling from conventional methods using only depth maps to the latest algorithms referring to both depth maps and their corresponding color images. We also present depth map enhancement algorithms for hybrid camera systems in detail.

• Journal of Korean Society for Atmospheric Environment
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• v.21 no.3
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• pp.315-327
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• 2005

The total of 35 target VOCs (volatile organic compounds), which were included in the TO-14, was selected to develop a VOCs' source profile matrix of the Yeosu Petrochemical Complex and to test its collinearity by singular value decomposition(SVD) technique. The VOCs collected in canisters were sampled from 12 different sources such as 8 direct emission sources (refinery, painting, wastewater treatment plant, incinerator, petrochemical processing, oil storage, fertilizer plant, and iron mill) and 4 general area sources (gasoline vapor emission, graphic art activity, vehicle emission, and asphalt paving activity) in this study area, and then those samples were analyzed by GC/MS. Initially the resulting raw data for each profile were scaled and normalized through several data treatment steps, and then specific VOCs showing major weight fractions were intensively reviewed and compared by introducing many other related studies. Next, all of the source profiles were tested in terms of degree of collinearity by SVD technique. The study finally could provide a proper VOCs' source profile in the study area, which can give opportunities to apply various receptor models properly including chemical mass balance (CMB).

• Journal of Engineering Education Research
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• v.23 no.1
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• pp.3-9
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• 2020

The purpose of the study was to develop the Arduino based STEAM instruction materials for creative engineering design class. PDIE model was used in this study. We developed a STEAM lesson plan and a STEAM lesson worksheet for a total of six sessions through the steps of preparation, development, implementation and evaluation. The validity of the instruction materials was evaluated by the 10 experts using a survey. The instruction materials were applied to the class (52 students attended) of the creative engineering designs unit in technology and home economics subject. The class satisfaction and the creative solving-problem ability were examined after the calss. The class satafacition was high as the average of 10 item was 4.57 (out of 5). The paired t-test was conducted to compare the means of the creative solving-problem ability. It was observed that 'understanding and mastery of knowledge, thought, function and skills in a specific domain', 'divergent thinking', 'critical and logical thinking' and ' motivational factors' were significantly increased after the class. The instruction materials develped in this study were successfully designed to enhance the creative solving-problem ability by designing creative tasks and to intrique the interest by adding visual and auditory stimuli with the Arduino.

• Journal of Korean Society of Rural Planning
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• v.19 no.1
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• pp.165-177
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• 2013

This study deals with rural village development project of Gasangri, Yeongcheon city area, based on the use of the cultural factors and strengthening them in study area. Unlike other cases of today's Korean rural village development projects, this plan keenly concerns not only for tourists but also for the village people. Since culture means the quality of life also, this project especially deals with 'community', 'well-being', and 'convenience' for the inhabitants. On the other hand, it attempts to connect with "Cyan Museum", which is the first grade art gallery remodelled from closed school, to make village of culturally abundant atmosphere. In result, seven sub-projects of the expansion of basic living foundation, and two improvement of landscape in area have planned. Among stereotype of rural development projects and similar programs of tourism, the project makes difference on targeting for the meaning and resource of place culture.

• Proceedings of the Korean Society of Crop Science Conference
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• 2005.08a
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• pp.22-46
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• 2005

Spatial and timely information on crop and filed conditions is one of the most important basics for rational and efficient planning and management in agriculture. Remote sensing, GIS, and modeling are powerful tools for such applications. This paper presents an overview of the state of the art in remote sensing of crop and field conditions with some case studies. It is also shown that a synergistic linkage between process-based models and remote sensing signatures enables us to estimate the multiple crop/ecosystem variables at a dynamic mode. Remotely sensed information can greatly reduce the uncertainty of simulation models by compensating for insufficient availability of data or parameters. This synergistic approach allows the effective use of infrequent and multi-source remote sensing data for estimating important ecosystem variables such as biomass growth and ecosystem $CO_2$ flux. This paper also shows a geo-spatial information system that enables us to integrate, search, extract, process, transform, and calculate any part of the data based on ID#, attributes, and/or by river-basin boundary, administrative boundary, or boundaries of arbitrary shape/size all over Japan. A case study using the system demonstrates that the nitrogen load from fertilizer was closely related to nitrate concentration of groundwater. The combined use of remote sensing, GIS and modeling would have great potential for various agro-ecosystem applications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5583-5604
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• 2016

In this paper, we present a novel image operator to extract textual information in natural scene images. First, a powerful refiner called the Stroke Color Extension, which extends the widely used Stroke Width Transform by incorporating color information of strokes, is proposed to achieve significantly enhanced performance on intra-character connection and non-character removal. Second, a character classifier is trained by using gradient features. The classifier not only eliminates non-character components but also remains a large number of characters. Third, an effective extractor called the Character Color Transform combines color information of characters and geometry features. It is used to extract potential characters which are not correctly extracted in previous steps. Fourth, a Convolutional Neural Network model is used to verify text candidates, improving the performance of text detection. The proposed technique is tested on two public datasets, i.e., ICDAR2011 dataset and ICDAR2013 dataset. The experimental results show that our approach achieves state-of-the-art performance.

• Journal of Nutrition and Health
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• v.46 no.6
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• pp.540-551
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• 2013

Vitamin D deficiency (VDD) is becoming an epidemic and thereby a global health problem. Further, VDD adversely affects calcium metabolism and skeletal health, and is associated with increased risk of several diseases, e.g., autoimmune diseases, several types of cancers, type 2 diabetes mellitus, cardiovascular diseases, infectious diseases, asthma, psoriatic arthritis, and etc. To evaluate the prevalence of VDD in Korea, and then to evaluate the association of several factors with serum 25(OH)D level, the author analyzed the data of 14,456 individuals who were 10 years of age and over from the Fifth Korea National Health and Nutrition Examination Survey 1 & 2 (KNHANES V-1 & 2) conducted by the Korean Centers for Disease Control & Prevention. As a result, among Koreans (age $${\geq_-}$$ 10years), 65.9% of males and 77.7% of females were below optimum blood serum 25(OH)D (20 ng/mL). VDD is more severe in female than in male at all age groups. In addition, the younger generations had less 25(OH)D level than older generations in Korea. The analysis by complex sample general linear model (CSGLM) suggested that blood 25(OH)D concentration was related with gender (p < .001), residence (p = .030), occupation (p < .001), anemia (p < .001) and physical activity (p < .001). In conclusion, VDD is pandemic and it is more severe in younger generations in Korea. Further, from the results by CSGLM, serum 25(OH)D status is closely related with the life style of Koreans.

• Journal of Broadcast Engineering
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• v.21 no.2
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• pp.268-271
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• 2016

In video sequences, foreground object detection being composed of a background model and a background subtraction is an important part of diverse computer vision applications. However, object detection might fail in sudden illumination changes. In this letter, an illumination-robust background detection is proposed to address this problem. The method can provide quick adaption to current illumination condition using two background models with different adaption rates. Since the proposed method is a non-parametric approach, experimental results show that the proposed algorithm outperforms several state-of-art non-parametric approaches and provides low computational cost.