• Korean Journal of Computational Design and Engineering
• /
• v.10 no.6
• /
• pp.444-454
• /
• 2005

Recently, the requirements of multi-resolution models of a solid model, which represent an object at multiple levels of feature detail, are increasing for engineering tasks such as analysis, network-based collaborative design, and virtual prototyping and manufacturing. The research on this area has focused on several topics: topological frameworks for representing multi-resolution solid models, criteria for the level of detail (LOD), and generation of valid models after rearrangement of features. As a solution to the feature rearrangement problem, the new concept of the effective zone of a feature is introduced in the former part of the paper. In this paper, we propose a feature-based non-manifold modeling system to provide multi-resolution models of a feature-based solid or non-manifold model on the basis of the effective feature zones. To facilitate the implementation, we introduce the class of the multi-resolution feature whose attributes contain all necessary information to build a multi-resolution solid model and extract LOD models from it. In addition, two methods are introduced to accelerate the extraction of LOD models from the multi-resolution modeling database: the one is using an NMT model, known as a merged set, to represent multi-resolution models, and the other is storing differences between adjacent LOD models to accelerate the transition to the other LOD. We also suggest the volume of the feature, regardless of feature type, as a criterion for the LOD. This criterion can be used in a wide range of applications, since there is no distinction between additive and subtractive features unlike the previous method.

• Journal of Technology Innovation
• /
• v.17 no.1
• /
• pp.149-177
• /
• 2009

Today, the phase of modem war is very different from past war. That is, the winning of war depends on the ability to obtain information and high technology. The purposes of this research are to propose an effective R&D governance model in national defense sector and to present R&D strategy for obtaining core national defense technology. As a part of collaborative innovation, the strategy to exchange R&D results actively between the defense sector and the private sector will be discussed. The main contribution of this research is dearly defining the concept of R&D governance in national defense sector and applying it to an actual case. The national defense R&D governance model proposed in this paper is based on the characteristics of national defense R&D which are different from other industries. The analysis of business success factors for national defense R&D through the T-50 case study is presented in detail. The T-50 case study reveals the importance of strategic intent, core technology knowledge base, organizational structure, and project management.

• Knowledge Management Research
• /
• v.21 no.3
• /
• pp.27-44
• /
• 2020

In order to solve the user's information overload problem, recommender systems infer users' preferences and suggest items that match them. The collaborative filtering (CF), the most successful recommendation algorithm, has been improving performance until recently and applied to various business domains. Visual information, such as book covers, could influence consumers' purchase decision making. However, CF-based recommender systems have rarely considered for visual information. In this study, we propose VizNCS, a CF-based deep learning model that uses visual information as additional information. VizNCS consists of two phases. In the first phase, we build convolutional neural networks (CNN) to extract visual features from image data. In the second phase, we supply the visual features to the NCF model that is known to easy to extend to other information among the deep learning-based recommendation systems. As the results of the performance comparison experiments, VizNCS showed higher performance than the vanilla NCF. We also conducted an additional experiment to see if the visual information affects differently depending on the product category. The result enables us to identify which categories were affected and which were not. We expect VizNCS to improve the recommender system performance and expand the recommender system's data source to visual information.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.12
• /
• pp.473-484
• /
• 2017

This study analyzed collaborative R&D projects funded by the Korean government from 2013-2015. For this analysis, input and output variables of projects were considered, and a combination of those variables was itemized. The output-oriented variable return to scale (VRS) model extended from the DEA methodology was adopted to evaluate the cooperation efficiency of the types of R&D collaboration, which were classified according to the project leader's organizations. In addition, hierarchical cluster analysis was conducted using the efficiency results of the scientific, technical, and economical outcome models. The results showed that cooperation efficiency between large companies and public research institutions was relatively high. Conversely, cooperation among medium-sized companies, small businesses and universities was particularly inefficient. The clustering results demonstrated the various strengths and weaknesses of the types depending on publications, patents, technical loyalties and the number of commercialization. In conclusion, this study suggests differentiated investment portfolios and strategies based on the efficiency results of diverse cooperation types among industries, universities and public research institutions.

• Journal of Intelligence and Information Systems
• /
• v.28 no.3
• /
• pp.119-137
• /
• 2022

Recent recommendation system studies apply various deep learning models to represent user and item interactions better. One of the noteworthy studies is ONCF(Outer product-based Neural Collaborative Filtering) which builds a two-dimensional interaction map via outer product and employs CNN (Convolutional Neural Networks) to learn high-order correlations from the map. However, ONCF has limitations in recommendation performance due to the problems with CNN and the absence of side information. ONCF using CNN has an inductive bias problem that causes poor performances for data with a distribution that does not appear in the training data. This paper proposes to employ a Vision Transformer (ViT) instead of the vanilla CNN used in ONCF. The reason is that ViT showed better results than state-of-the-art CNN in many image classification cases. In addition, we propose a new architecture to reflect side information that ONCF did not consider. Unlike previous studies that reflect side information in a neural network using simple input combination methods, this study uses an independent auxiliary classifier to reflect side information more effectively in the recommender system. ONCF used a single latent vector for user and item, but in this study, a channel is constructed using multiple vectors to enable the model to learn more diverse expressions and to obtain an ensemble effect. The experiments showed our deep learning model improved performance in recommendation compared to ONCF.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.36 no.1
• /
• pp.68-83
• /
• 2012

This study suggests a Korean fashion design education model through a comparison of the fashion design curriculum and education systems in the USA, Europe, and Korea. For this, a case study of fashion design curriculum and education systems in the USA was performed with literature reviews about education methodology and design process to develop creativity, following the prior study, A Comparative Study on Fashion Design in Europe and Korea. For the case study, 12 superior fashion design education institutions in the USA were chosen from fashionista (N.Y.) and the goals, the emphases, the constitution of the online curriculum of each undergraduate fashion design course were examined. As a result of this study, Korean fashion design education model (1+2.5+0.5 model), was proposed by integrating the education systems of the USA and Europe, as follow: First, Korean fashion design education institutions need to be characterized and the departments/majors should be gradually specialized by the major. Second, foundation courses prior to undergraduate courses or during the 1st year should be established to result in a multi- disciplinary basic education. Third, a project based major needs to be performed that connects fashion design subjects with their related subjects for 2 and a half years as of the $2^{nd}$ year. These projects can be progressed by problem-solving design process of problem-identification and brainstorming-research, analysis-design concept-design ideation, selection-design development, implementation-critical evaluation and solutions. Fourth, collaborative projects or integrated courses with related Liberal Arts or other art and design majors should lead to muliti-discilplinary education. Fifth, the chance of increased active industry-academy collaboration and actual employment or enterprise can be facilitated by the establishment of only the courses related to domestic or international internships during the $2^{nd}$ semester of the $4^{th}$ year.

• Journal of the Korean Society for Library and Information Science
• /
• v.42 no.2
• /
• pp.109-146
• /
• 2008

This study focuses on how to introduce the concept of Information Commons(IC) into school libraries in order to help them Perform their roles required to satisfy new types of their users' demands. It intends to examine the concept of IC to draw the IC elements applicable to school libraries and propose a feasible model for them. The main objects of this study are school libraries and Information Commons. In particular, this study brings the derivation of IC elements and the construction of an IC model for school libraries into focus. This study sorted the three factors by peculiarities of school libraries. Each classification is as follows: physical elements were divided into learning space, creation space, community space, and service counters; human resources were divided into teacher-librarian. IT engineers, and student assistants; and services were divided into information literacy training and integrated, collaborative services. Based upon the derived IC constituents, it proposed a diagram that outlines the IC services concept for school libraries, an IC model and an IC floor plan for them.

• The Journal of the Korea Contents Association
• /
• v.10 no.10
• /
• pp.246-254
• /
• 2010

Recent changes in medical environment are based on technology such as internet. As most hospitals require the change and the adaptation of medical, medical information experts are more needed. In this study, we developed web based PBL model and applied it to the students majoring in medical information system. The developed web-PBL model focuses on learner's online learning activities to enhance collaborative learning and self-directed learning by using online learning tools. At the result of the research, We found that the students' course evaluation somewhat increased compared to the previous class and the students positively perceived on PBL model. Moreover, this study showed that using blog as a online learning tool was a good way to enhance cooperative learning.

• Journal of Digital Contents Society
• /
• v.18 no.7
• /
• pp.1313-1321
• /
• 2017

In the future society where ICT-based digital convergence creates new value, collaborative skills among experts in various fields and SW based problem solving ability is more emphasized. Non-SW specialists are required to have SW based communication skills to effectively collaborate with SW experts to solve their problems. Therefore, SW programming curriculum for non-major college students should be different from the existing programming education for SW-majors aiming at a high level of coding ability. It is also known that diagram-based visual representation is helpful for productive communication and collaboration. In this study, we defined the SW education objectives for the non-majors as cultivating the visual programming ability for SW based problem solving. In order to accomplish this, we explored SW programming curriculum and content development model for non-majors focusing on visual representation of SW solutions. The results of this paper will help to provide appropriate SW learning model for non-majors and to cultivate practical SW capabilities.

• Research in Community and Public Health Nursing
• /
• v.12 no.2
• /
• pp.406-416
• /
• 2001

This study is performed to confirm the influencing factors of family health protection behaviors using the variables included in Pender's Family Promotion Model. 1. The subjects are 110 families in preschooler family developmental stage, respondents are children's mother or father. These families are almost all nuclear types(95%), function of families is healthy as much as 8.0 the mean FAPGAR score. The prevalence rate of family members' illness was 14.7% these last 3 months, and 21.1 % of families responded suffered from injury for last 2 years. 2. The practice rate of injury prevention behavior is below a half in supervision and modifying of their home and residential environments, especially controlling through collaborative community power. The more familiar function score is the better practicing rates of injury prevention behaviors. 3. The injury prevention behaviors correlate to family size, health status of family member, and children's congenital defects with statistical significance. Families' economic condition correlates also significantly to family health status, cognition of benefits of injury prevention, cognition of the importance of community collecting power. And the recognition of the benefits of injury prevention correlates the adaptive health concept, family norms about injury prevention, economic status. 4. Considering family health promotion model. the general influencing factor is only affected to family protective behavior, and other paths don't affect to family's behaviors. In simple regression, the family protective behavior model explains 27.8%(P=0.05), significant factors are family function status, family size, chronic illness of family members', mother's education level. father's age. 5. To define of familiar preventive behavior as a unit is very important, but it has the limitation to solve the difficulties of family studies going with the operationalized difficulties of health promotion concept.