• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.119-144
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• 2020

The purpose of this study is to obtain basic information and implications for developing media information literacy curriculum by comparing and analyzing UNESCO's media and information literacy competencies and AASL's key competencies with the 2015 Revised Curriculum and the Library and Information Life curriculum. As a result of the analysis, First, UNESCO's MIL and AASL's key competencies in media information literacy were related to the competencies of the 2015 Revised Curriculum. Second, UNESCO's MIL included more aspects of the composition and competencies of information literacy than media literacy. For this reason, it could be said that media information literacy more appropriately reflects the content pursued by media literacy education than media literacy. Third, UNESCO's MIL included more training content for media literacy than information literacy. Fourth, the contents of media literacy were found to be insufficient in the Library and Information Life curriculum compared to the education contents of library and information literacy. Fifth, the competency standards related to media information literacy and Libraries and Information Life did not present cultural sensitivity competency. Based on the results of the study, It is necessary to develop a media information literacy curriculum that fuses the contents of media literacy beyond the information literacy that use library resources.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.670-681
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• 2016

Recently, based on Internet and mobile environments, the Fintech industry that fuses finance and IT together has been rapidly growing and Fintech services armed with simplicity and convenience have been leading the conversion of all financial services into online and mobile services. However, despite the rapid growth of the Fintech industry, few studies have classified Fintech technologies into detailed technologies, analyzed the technology development trends of major market countries, and supported technology planning. In this respect, using Fintech technological data in the form of unstructured data, the present study extracts and defines detailed Fintech technologies through the topic modeling technique. Thereafter, hot and cold topics of the derived detailed Fintech technologies are identified to determine the trend of Fintech technologies. In addition, the trends of technology development in the USA, South Korea, and China, which are major market countries for major Fintech industrial technologies, are analyzed. Finally, through the analyses of networks between detailed Fintech technologies, linkages between the technologies are examined. The trends of Fintech industrial technologies identified in the present study are expected to be effectively utilized for the establishment of policies in the area of the Fintech industry and Fintech related enterprises' establishment of technology strategies.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.3
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• pp.19-29
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• 2011

Until now, many face recognition methods have been proposed, most of them use a 1-dimensional feature vector which is vectorized the input image without feature extraction process or input image itself is used as a feature matrix. It is known that the face recognition methods using raw image yield deteriorated performance in databases whose have severe illumination changes. In this paper, we propose a face recognition method using local statistics of gradients and correlations which are good for illumination changes. BDIP (block difference of inverse probabilities) is chosen as a local statistics of gradients and two types of BVLC (block variation of local correlation coefficients) is chosen as local statistics of correlations. When a input image enters the system, it extracts the BDIP, BVLC1 and BVLC2 feature images, fuses them, obtaining feature matrix by $(2D)^2$ PCA transformation, and classifies it with training feature matrix by nearest classifier. From experiment results of four face databases, FERET, Weizmann, Yale B, Yale, we can see that the proposed method is more reliable than other six methods in lighting and facial expression.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.512-521
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• 2013

This paper presents the user needs analysis and information visualization for the development of a semantic-based national R&D information navigation service in information service planning phase, which converges and fuses NDSL databases and NTIS databases. To investigate and analyze the user needs for improving usability, we make an improvement plan for R&D information services via a survey targeted at 30 persons, and on-site interviews targeted at 12 persons, almost of who are researchers in industries, universities and government-funded institutes. To design new information visualization service, we propose an interactive national R&D information visualization service, which is provided in navigation type, and prescribe persona and screen prototyping according to the user needs analysis. We design the national R&D information convergence/fusion architecture based on the NDSL databases, including 345,411 academic articles, 620,555 co-authors and 49,958 reports and NTIS databases including 187,466 national R&D projects. We expect that the national R&D information convergence/fusion architecture contributes to R&D information convergence/fusion as a leading model/standard and the interactive navigation-typed information visualization service strengthens usability continuously.

• Journal of Korean Medical classics
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• v.19 no.1 s.32
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• pp.26-40
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• 2006

It is generally understood that San Bu Jiu Hou is the pulse form at CunGuanChi(寸關尺) as in ${\ulcorner}$NanJing(難經)${\lrcorner}$. However, it is totally different in ${\ulcorner}$HuangDiNeiJing${\lrcorner}$. This only appears in tew chapters of ${\ulcorner}$SuWen(素問)${\lrcorner}$ and does not appear in ${\ulcorner}$LingShu(靈樞)${\lrcorner}$. SanBu in ${\ulcorner}$SuWen SanBuJiuHouLun${\lrcorner}$ refers to top, middle, bottom and each part is divided into 3 parts, Tian(天), Di(地), Ren(人) to form JiuHou, and through Jiu Hou, not only does it diagnose ShenZang(神臟) and XingZang(形臟), but also goes on to form a diagnostic system by fusing diagnostic skill and treatment into one. ${\ulcorner}$JiuZhenShiErYuan(九針十二原)${\lrcorner}$ discusses detailed shapes and functions of nine types of acupuncture, and the ${\ulcorner}$GuanZhen(官針)${\lrcorner}$ explains how to manipulate Jiu Zhen adequately, but there is more to it than just shape and function in techniques of acupuncture. It is because it fuses (or merges) pathology, diagnostics, treatment etc to form a single diagnosis system. ${\ulcorner}$JinFu(禁服)${\lrcorner}$ discusses about nine types of acupuncture of pulse form and effect, which are treatment means based on RenYingCunKouMaiFa(人迎寸口脈法). Various pulse daignosises exist in ${\ulcorner}$HuangDiNeiJing${\lrcorner}$, but those influence of future generations can be divided into SanBuJiuHouMaiFa(三部九候脈法) and RenYingCunKouMaiFa(人迎寸口脈法), and which medical ideologies this kind of pulse daignosis originates from should be discusssed. We will finally expolre and report the process its development into 寸尺脈(Cun Chi Mai).

• Journal of Digital Convergence
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• v.14 no.3
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• pp.319-327
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• 2016

This research attempts an analysis that fuses the big data concerning weather variation and health care from January 1, 2011 to December 31, 2014; it gives the weather factor as to what kind of influence there is for the incidence of food poisoning, and also endeavors to be helpful regarding national health prevention. By using R, the Logistic and Lasso Logistic Regression were analyzed. The main factor germ generating the food poisoning was classified and the incidence was confirmed for the germ of bacteria and virus. According to the result of the analysis of Logistic Regression, we found that the incidence of bacterial food poisoning was affected by the following influences: the average temperature, amount of sunshine deviation, and deviation of temperature. Furthermore, the weather factors, having an effect on the incidence of viral food poisoning, were: the minimum vapor pressure, amount of sunshine deviation and deviation of temperature. This study confirmed the correlation of meteorological factors and incidence of food poisoning. It was also found out that even if the incidence from two causes were influenced by the same weather factor, the incidence might be oppositely affected by the characteristic of the germs.

• Archives of design research
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• v.17 no.4
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• pp.211-222
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• 2004

During the 1980s, Textile design achieved a remarkable growth in creating aesthetic effect and in establishing its standing by responding to demands of the time effectively and seeking changes proactively. This was a period when Textile design constructed its modern concept as it was attempting a qualitative improvement through advanced technology, high class, and differentiation. The advent of advanced materials through the development of textile engineering, employment of craft techniques to further cultural and artistic orientation, and restoration of decorativeness in pursuit of sensitivity, all these developments of the 1980s contributed to the rise of above characteristics. In this study, attempts are made to grasp the new trend of Textile design during the 1980s and to review diverse methods of aesthetic creation and plastic possibility which this trend presented for the Textile, and thus to recognize the role of Textile design and its importance in a new light. The new trend of Textile design during the 1980s can be summarized as follows: 1) An appreciation of the creative aspect of the Textile. As attempts are made to emphasize visual and sensitive aspects of the medium, Textile tended to become an object of art itself. 2) A new awareness of the representative and plastic capacity of the fiber material. As attempts are made to develope the creative potential of the Textile, representation of the material tended to become more diversified. 3) A recognition of the Textile as a proper means to deliver the spirit of the time. As the medium accommodates and fuses diverse cultures including traditional culture, more emphasis was place on cultural contents of the Textile. In the process of pursuing these changes, Textile design of the 1980s has also contributed to the creation of new values, laying the groundwork for its emergence as an advanced high value-added industry.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.305-311
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• 2019

Does the healing of life lead to a grave, or can death heal life? The healing in life exists in the emotional circuit of the space of life. So what kind of space does healing in death exist? For now, healing in death exists beyond life. Imje (林悌, 1549-1587) is famous for reciting Sadness Sijo in his beloved Hwang Jin-yi's Grave. For the Literature Therapy, this time we're trying to code the Emotions of Sijo "The Valley Which is Covered With Blue Grass", which Imje is said to have recited in the Hwang Jin-yi's Grave. This Sijo sings the love of Sadness such as Love and Death, Grave and Sadness. That is, how fuse human Emotions, which are caused by conflicting concepts of love and pain or love and separation. Imje's Sijo fuses signifiers such as Grave, Love and Sadness to code 'The Transience of Human Life.' This 'The Transience of Human Life' is a function of this Sijo's Literature Therapy. 'The Transience of Human Life' has a role of healing that relaxes the human body. With the Literature Therapy in place like this, no matter how painful life is, we have some leeway. This is because the sadness of 'The Transience of Human Life' delivered by Sijo conveys the effect of the Literature Therapy, which contemplate and tolerate the entire life. We look forward to continuing this research and achieving Emotion Coding for new life.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.407-418
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• 2023

The Multi-Object Goal Visual Navigation(MultiOn) is a visual navigation task in which an agent must visit to multiple object goals in an unknown indoor environment in a given order. Existing models for the MultiOn task suffer from the limitation that they cannot utilize an integrated view of multimodal context because use only a unimodal context map. To overcome this limitation, in this paper, we propose a novel deep neural network-based agent model for MultiOn task. The proposed model, MCFMO, uses a multimodal context map, containing visual appearance features, semantic features of environmental objects, and goal object features. Moreover, the proposed model effectively fuses these three heterogeneous features into a global multimodal context map by using a point-wise convolutional neural network module. Lastly, the proposed model adopts an auxiliary task learning module to predict the observation status, goal direction and the goal distance, which can guide to learn the navigational policy efficiently. Conducting various quantitative and qualitative experiments using the Habitat-Matterport3D simulation environment and scene dataset, we demonstrate the superiority of the proposed model.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.12
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• pp.505-518
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• 2023

3D point cloud semantic segmentation is a computer vision task that involves dividing the point cloud into different objects and regions by predicting the class label of each point. Existing 3D semantic segmentation models have some limitations in performing sufficient fusion of multi-modal features while ensuring both characteristics of 2D visual features extracted from RGB images and 3D geometric features extracted from point cloud. Therefore, in this paper, we propose MMCA-Net, a novel 3D semantic segmentation model using 2D-3D multi-modal features. The proposed model effectively fuses two heterogeneous 2D visual features and 3D geometric features by using an intermediate fusion strategy and a multi-modal cross attention-based fusion operation. Also, the proposed model extracts context-rich 3D geometric features from input point cloud consisting of irregularly distributed points by adopting PTv2 as 3D geometric encoder. In this paper, we conducted both quantitative and qualitative experiments with the benchmark dataset, ScanNetv2 in order to analyze the performance of the proposed model. In terms of the metric mIoU, the proposed model showed a 9.2% performance improvement over the PTv2 model using only 3D geometric features, and a 12.12% performance improvement over the MVPNet model using 2D-3D multi-modal features. As a result, we proved the effectiveness and usefulness of the proposed model.