• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.05a
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• pp.141-147
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• 2003

본 연구의 목적은 사용성과 평가에 기초하여 사용성과 착용성 평가에 기초하여 웨어러블 컴퓨터의 디자인 프로토타입을 개발하는 것으로서, 실증적 자료를 토대로 하여 웨어러블 컴퓨터의 디자인 적합성 및 물리적 인터페이스 속성을 개선하는데 목표를 두었다. 본 연구에서는 이를 위하여 웨어러블 컴퓨터에 디자인 시안 1종을 실물로 제작하고 컴퓨팅에 능숙한 일반 사용자 10명과 택배직에 종사하는 전문 사용자10명을 대상으로 디자인 시안을 사용하게 한 후, 디자인 시안의 사용성과 착용성을 평가하기 위한 심층면접을 실시하였으며, 그 결과 도출된 문제점을 실증적으로 분석하였다. ‘외관’, ‘관리의 용이성’, ‘컴퓨팅 기기 위치의 적절성’, ‘와이어 경로의 적절성’, ‘조작의 용이성’, ‘위험성’, ‘유용성’, ‘인지적 변화’, 의 9가지 항목별로 정성적, 정량적 분석결과를 도출하였으며, 이러한 결과를 기반으로 디자인 시안의 세부적인 디자인 수정안을 도출하였으며, 사용성과 착용성 평가를 바탕으로 한 현재의 기술을 통해 구현 가능한 웨어러블 컴퓨터의 디자인 프로토타입의 기본형을 그래픽 시뮬레이션으로 제시하였다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.2
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• pp.181-200
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• 2011

This study purposed to evaluate a youth reading promotion program that is designed and operated by the National Library for Children & Young Adults. The study specifically assessed the '1318 Bookworm Program' by conducting an in-depth survey and a focus group interview for school librarians who had participated in the program between 2007 and 2010. According to the study findings, the program participants were highly satisfied with the program outcomes. The librarians believed that the program brought positive effects on the cognitive, emotional, and social developments of the participated teens. Among the 1318 program operation process, namely designing, planning, and implementation, both planning and implementation processes were the determining factors for the outcome satisfaction. Finally, study participants expressed the needs for increasing the number of the certified professional school librarians active in the field, expanded organization structure, and further research on youth reading promotion programs in order to facilitate the program support and to enhance its efficiency. They also suggested diversified program contents development and the dissemination of manuals for youth reading promotion programs.

• Geophysics and Geophysical Exploration
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• v.23 no.3
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• pp.149-156
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• 2020

The genesis of ore bodies is a very diverse and complex process, and the target depth of mineral exploration increases. These create a need for predictive mineral exploration, which may be facilitated by the advancement of machine learning and geological database. In this study, we confirm that the faults and igneous rocks distributions and magnetic data can be used as input data for potential mapping using deep neural networks. When the input data are constructed with faults, igneous rocks, and magnetic data, we can build a potential mapping model of the metal deposit that has a predictive accuracy greater than 0.9. If detailed geological and geophysical data are obtained, this approach can be applied to the potential mapping on a mine scale. In addition, we confirm that the magnetic data, which provide the distribution of the underground igneous rock, can supplement the limited information from the surface igneous rock distribution. Therefore, rather than simply integrating various data sets, it will be more important to integrate information considering the geological correlation to genesis of minerals.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.1-6
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• 2008

최근 제품이나 서비스를 기획할 때, 사용자 경험 (User Experience)의 측면에 대한 고려를 해야 한다는 이야기가 많아지고 있다. 이는 기능이나 성능을 결정할 때 기능 추가, 몇 %의 성능 상승같이 좁은 방법으로 제품이나 서비스의 기획의 방향을 결정하는 것이 아니라, 사용자가 그 기능이나 성능에서 대해서 어떻게 느끼고, 기능이나 성능을 통해서 어떤 경험을 했는지에 대한 전반적인 고려가 필요하다는 것을 여러 분야에서 공감하고 있다는 증거라 하겠다. 그러나 사용자 경험이라는 개념이 명확하게 정의되어 있지 않고, 그에 대한 실증적인 연구가 부족하여, 더 나은 사용자 경험을 제공하기 위해서 어떤 노력이 필요한지에 대해서 명확하고 쉽게 파악하기 어려운 실정이다. 기존의 HCI 분야에서는 제품이나 서비스를 평가할 때 사용성 (Usability)에 초점을 맞추어서 사용성 평가 (Usability Testing)를 통해서 정량적으로 문제점을 조사하는 방법론에 대한 연구가 많이 이루어졌다. 그러나 이러한 사용성 평가 는 사용자들의 과업 수행 시간, 과업 수행 여부 등 사용자들이 제품이나 서비스를 통해서 진행하는 결과에 대한 성능 (Performance)에 주목하고 있어서 전반적인 사용자 경험을 중요시하는 현재 HCI 가 가야 할 방향과 현업의 필요와는 부합하지 않는다고 할 수 있다. 본 논문에서는 심층 인터뷰를 통해서 사용자에게 제품 경험에 있어서 중요한 요소를 찾아내고, 각 요소를 이용하여 제품에 대한 사용자의 전반적인 경험을 설문으로 물어본 후 구조방정식 모형분석을 통하여 각 경험 요소의 가중치를 도출하였다. 또한 이러한 가중치를 바탕으로 핸드폰, MP3 플레이어, LCD TV, 냉장고의 실제 제품 평가에 적용하여 사용자 경험을 바탕으로 한 제품 평가를 진행하였다. 또한 이러한 방법론을 한국뿐만 아니라 러시아, 독일, 인도의 사용자들에게도 같은 방식으로 진행하여 실증적으로 본 연구에서 개발된 방법론이 가능한지 여부를 확인하였다.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.423-429
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• 2016

The study evaluates user experiences of YouTube and Vimeo, typical Video-sharing websites, to suggest guidelines that are more user-cantered and useful. I did some literature research followed with evaluation of theoretical backgrounds, present conditions and future services. Also, I used the six principles of "Creating Pleasurable Interface" by Stephen Anderson to conduct an in-depth interview. The results indicate that YouTube needs to improve availability of its functions and usability by reducing advertisement. Vimeo needs to improve its popularity by increasing popular contents and add relationship service such as personal broadcasting system and community services. I expect this study will become a good resource for upgrading user experiences of Video-sharing websites. I also believe that this study can guide other studies about user experience in other fields.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.1-14
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• 2024

The study aims to comprehend the health needs of multicultural families, identify relevant policies, and explore ways to enhance health information accessibility through Information and Communication Technology (ICT). Employing a qualitative research method, the health status of multicultural families was analyzed through literature review, followed by in-depth interviews. The findings revealed a lower priority given to health policies for multicultural families compared to other governmental sectors, with limited discussion on leveraging ICT for improved accessibility. In-depth interviews highlighted four main themes: "Early experiences in Korean society," "Language barriers in medical facilities," "Unmet healthcare needs for various reasons," and "High demand for health-related services." To safeguard health rights and enhance information accessibility, we recommend strengthening linguistic support in healthcare institutions, implementing government efforts for multicultural families, and designing user-centered ICT platforms.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.695-713
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• 2023

In coastal waters, phytoplankton,suspended particulate matter, and dissolved organic matter intricately and nonlinearly alter the reflectivity of seawater. Neural network technology, which has been rapidly advancing recently, offers the advantage of effectively representing complex nonlinear relationships. In previous studies, a three-stage neural network was constructed to extract the inherent optical properties of each component. However, this study proposes an algorithm that directly employs a deep neural network. The dataset used in this study consists of synthetic data provided by the International Ocean Color Coordination Group, with the input data comprising above-surface remote-sensing reflectance at nine different wavelengths. We derived inherent optical properties using this dataset based on a deep neural network. To evaluate performance, we compared it with a quasi-analytical algorithm and analyzed the impact of log transformation on the performance of the deep neural network algorithm in relation to data distribution. As a result, we found that the deep neural network algorithm accurately estimated the inherent optical properties except for the absorption coefficient of suspended particulate matter (R² greater than or equal to 0.9) and successfully separated the sum of the absorption coefficient of suspended particulate matter and dissolved organic matter into the absorption coefficient of suspended particulate matter and dissolved organic matter, respectively. We also observed that the algorithm, when directly applied without log transformation of the data, showed little difference in performance. To effectively apply the findings of this study to ocean color data processing, further research is needed to perform learning using field data and additional datasets from various marine regions, compare and analyze empirical and semi-analytical methods, and appropriately assess the strengths and weaknesses of each algorithm.

• Proceeding of EDISON Challenge
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• 2016.03a
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• pp.576-581
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• 2016

해양환경에서 큰문제가 되고 있는 아주 작은 크기의 플라스틱 입자인 미세플라스틱(Microplastic)은 잔류성이 크고 생물축적성이 있는 잔류성 유기오염 물질(POP)을 잘흡착하여 해양환경과 먹이사슬에 지대한 피해를 끼친다. 본 연구에서는 해양에 존재하는 대표적인 미세플라스틱 uPVC와 입자상의 잔류성 유기오염 물질 PAH를 원형 실린더로 가정하여 해양 환경에서 침강하고 있는 미세플라스틱이 잔류성 유기오염 물질에 의해 오염될 가능성을 알아보았다 이를 위해 표층및 심층수 환경에서 반지름에 따른 충돌효율과 접촉 시간을 구하여 두 실린더가 접촉할 시간의 기댓값인 기대 접촉시간을 계산하였다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.1
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• pp.13-24
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• 2021

Tunnel boring machine (TBM) is widely used for tunnel excavation in hard rock and soft ground. In the perspective of TBM-based tunneling, one of the main challenges is to drive the machine optimally according to varying geological conditions, which could significantly lead to saving highly expensive costs by reducing the total operation time. Generally, drilling investigations are conducted to survey the geological ground before the TBM tunneling. However, it is difficult to provide the precise ground information over the whole tunnel path to operators because it acquires insufficient samples around the path sparsely and irregularly. To overcome this issue, in this study, we proposed a geological type classification system using the TBM operating data recorded in a 5 s sampling rate. We first categorized the various geological conditions (here, we limit to granite) as three geological types (i.e., rock, soil, and mixed type). Then, we applied the preprocessing methods including outlier rejection, normalization, and extracting input features, etc. We adopted a deep neural network (DNN), which has 6 hidden layers, to classify the geological types based on TBM operating data. We evaluated the classification system using the 10-fold cross-validation. Average classification accuracy presents the 75.4% (here, the total number of data were 388,639 samples). Our experimental results still need to improve accuracy but show that geology information classification technique based on TBM operating data could be utilized in the real environment to complement the sparse ground information.

• The Journal of Engineering Geology
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• v.3 no.2
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• pp.203-214
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• 1993

Underground Injection Control regulations for Class I injection wells require that the vertical dufusion be considered as a mechanism for transport of contaninants in evaluating containment Due to the low permeability in the confining aquitard, the movement of contaminants over the long term is controlled by the molecular diffusion. The movement can be predicted, using the Fick' S second law of diffusion. The diffusion coefficient in Fick' s law has been determined experimentally in this study. Instantaneous injection of $^{51}Cr$ was used to trace the distribution of Cr(VI) in soil plugs and an analytical solution was applied to calculate the diffusion coefficients. This study shows the effect of environmental factors, such as temperature, chloride concentration, applied amount of $^{51}Cr$, and bulk density of injection formations on diffusion of Cr(VI)