• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.225-233
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• 2012

This study is focused on the relationship of old and new media with the concept of cultural interface. This study try to find out their similarities and differences of media contents and interface through contents analysis of text. As a results, there are competible coexistance of transparent immediacy and hypermediacy as a double logic of remediation. And the features of remediation that borrowing, aggressive, and absorb are showed cross each other. A related studies are focused on the narrative structure of story and on analysis of character, events, and background. And the other studies are focused on the policy of new media distribution. But, recent new media emphasizes the visualization of 3D technology and that strategy. Also they tries to convert a various media contents. Therefore, it is important to check and prepare those environmental changes of media. Then, more researches will be applied to remediation and cultural interface of this study. And I hope that they will be find an alternative strategy of contents and interface on media.

• Journal of Korean Medical classics
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• v.31 no.3
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• pp.77-97
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• 2018

Objectives : Qianjinyifang Shanghan is an important versions of Shanghanlun, but it was never introduced widely, and studies on its were not done a lot. Thus, the author seeks to study this book in order to find its special features, its relationship with other versions of Shanghanlun, and its status in the process of the transmission of Shanghanlun. Methods : Dissertations on Qianjinyifang Shanghan and dissertations that compare Yuhanben and Songben were studied. Sentences were numbered based on Qianjinyifang Shanghan, Tangbenshanghanlunjiaozhu to compare with other versions of Shanghanlun. Results : Sunsimiao brought the changes of "以法方類證, 方證同條 比類相附" in Shanghanlun. It organized Taiyangbing chapters according to their decoction pattern, and made Taiyangbing chapter name as "太陽病用${\cdots}$湯法". Chì shi ye was placed in front of Taiyangbìngyongguizhitangfa. Jueyinbing and Liouhuibing were combined to one that were seperated in Yuhanben. Shanghanyiji titlel was put in front of Yijipian to distinguish clearly from Sanyinsanyangpian. Sanyinsanyangpian and Yijipian contains many sentences that are missing in Songben. Conclusions : Qianjinyifang Shanghan is one of the major Shanghanluns that were saved by Jiaozhengyishuju I Northern Song Period, and it was put together as an independent book after the Ming and Qing dynasties. It plays an important role in the process of the transmission of Shanghanlun in 800 years, through 3C, 7C, and 11C. Moreover, when we compare the three books of Qianjinyifang Shanghan, Yuhanben, and Songben's Sanyinsanyangpian and Yijipian's sentences, we could know that they began from a common original text, but they became branched, and Qianjinyifang Shanghan has a closer relationship with Yuhanben. Sanyinsanyangpian and Yijipian sentences can serve to supplement what is missing in today's Songben.

• Journal of Korea Multimedia Society
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• v.6 no.6
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• pp.1054-1061
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• 2003

Electronic ink is multimedia data that have emerged from the development of pen-based computers such as PDAs whose major input device is a stylus pen. Recently with the development and supply of pen-based mobile computers, the necessity of data processing techniques of electronic ink has increased. Techniques to develop a gesture-allowed text editor in electronic ink domain were studied in this paper. Gesture and electronic ink data are a promising feature of pen-based user interface, but they have not yet been fully exploited. A new gesture recognition algorithm to identify pen gestures and a segmentation method for electronic ink to execute gesture commands were proposed. An electronic ink editor, called GesEdit was developed using proposed algorithms. The gesture recognition algorithm is based on eight features of input strokes. Convex hull and input time have been used to segment electronic ink data into GC(Gesture Components) unit. A variety of experiments by ten people showed that the average recognition rate reached 99.6% for nine gestures.

• Journal of Advanced Navigation Technology
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• v.19 no.4
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• pp.311-317
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• 2015

This paper is a study on how to develop service robots can easily complex software development services robot control system. User created contents based on the robot control system developed in this study is a robot drive control circuit, a sensor data processing, the status, the monitoring systems and modular system to configure the service robot operation screen from a user perspective and that can control the service robot operation As in the text-based features that can be operated to have freedom to the robot control service content. In addition, the user has the advantage that changes position by the development as well as user created contents desired by the user operating the robot control GUI (graphic user interface) also changes are possible. As a result, the service robot operator to offer a way to make the service robot can be conveniently presented in a user's point of view how to enable the development of the service robot.

• Korean Journal of Psychosomatic Medicine
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• v.15 no.2
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• pp.93-99
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• 2007

Object : This study aimed to investigate the characteristics of delirium in liver transplanted patients in a hospital in Korea. Method : We reviewed the medical records of 29 liver transplanted patients who were confirmed as delirium by psychiatrists with DSM-IV-TR diagnostic criteria. We estimated the correlation between delirium and clinical conditions of liver transplantations. Result : Post-operative delirium duration was significantly correlated with frequency of hepatic encephalopathy, pre-operative mental status, and stay of intensive care unit. Conclusion : Although there were many limitations of this study, it seemed that pre-operative hepatic encephalopathy affected post liver transplantation delirium.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1043-1056
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• 2017

A styled document is a document that contains diverse decorating functions such as different font, colors, tables and images generally authored in a word processor (e.g., MS-WORD, Open Office). Compared to a plain-text document, a styled document enables a human to easily recognize a logical structure such as section, subsection and contents of a document. However, it is difficult for a computer to recognize the structure if a writer does not explicitly specify a type of an element by using the styling functions of a word processor. It is one of the obstacles to enhance document version management systems because they currently manage the document with a file as a unit, not the document elements as a management unit. This paper proposes a machine learning based approach to analyzing the logical structure of a styled document composing of sections, subsections and contents. We first suggest a feature vector for characterizing document elements from a styled document, composing of eight features such as font size, indentation and period, each of which is a frequently discovered item in a styled document. Then, we trained machine learning classifiers such as Random Forest and Support Vector Machine using the suggested feature vector. The trained classifiers are used to automatically identify logical structure of a styled document. Our experiment obtained 92.78% of precision and 94.02% of recall for analyzing the logical structure of 50 styled documents.

• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.30-39
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• 2007

The existing content-based spam mail filtering algorithms have difficulties in filtering spam mails when e-mails contain images but little text. In this thesis we propose an efficient spam mail classification algorithm that utilizes the link structure of e-mails. We compute the number of hyperlinks in an e-mail and the in-link frequencies of the web pages hyperlinked in the e-mail. Using these two features we classify spam mails and legitimate mails based on the decision tree trained for spam mail classification. We also suggest a hybrid system combining three different algorithms by majority voting: the link structure analysis algorithm, a modified link structure analysis algorithm, in which only the host part of the hyperlinked pages of an e-mail is used for link structure analysis, and the content-based method using SVM (support vector machines). The experimental results show that the link structure analysis algorithm slightly outperforms the existing content-based method with the accuracy of 94.8%. Moreover, the hybrid system achieves the accuracy of 97.0%, which is a significant performance improvement over the existing method.

• The Journal of Advanced Prosthodontics
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• v.6 no.6
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• pp.498-504
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• 2014

PURPOSE. Dental implant has gained clinical success over last decade with the major drawback related to osseointegration as properties of metal (Titanium) are different from human bone. Currently implant procedures include endosseous type of dental implants with nanoscale surface characteristics. The objective of this review article is to summarize the role of nanotopography on titanium dental implant surfaces in order to improve osseointegration and various techniques that can generate nanoscale topographic features to titanium implants. MATERIALS AND METHODS. A systematic electronic search of English language peer reviewed dental literature was performed for articles published between December 1987 to January 2012. Search was conducted in Medline, PubMed and Google scholar supplemented by hand searching of selected journals. 101 articles were assigned to full text analysis. Articles were selected according to inclusion and exclusion criterion. All articles were screened according to inclusion standard. 39 articles were included in the analysis. RESULTS. Out of 39 studies, seven studies demonstrated that bone implant contact increases with increase in surface roughness. Five studies showed comparative evaluation of techniques producing microtopography and nanotopography. Eight studies concluded that osteoblasts preferably adhere to nano structure as compared to smooth surface. Six studies illustrated that nanotopography modify implant surface and their properties. Thirteen studies described techniques to produce nano roughness. CONCLUSION. Modification of dental osseous implants at nanoscale level produced by various techniques can alter biological responses that may improve osseointegration and dental implant procedures.

• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.79-86
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• 2008

As the rapid development of the Internet, the embedded images in HTML web pages nowadays become predominant. For its amazing function in describing the content and attracting attention, images become substantially important in web pages. All these images consist a considerable database. What's more, the semantic meanings of images are well presented by the surrounding text and links. But only a small minority of these images have precise assigned keyphrases. and manually assigning keyphrases to existing images is very laborious. Therefore it is highly desirable to automate the keyphrases extraction process. In this paper, we first introduce WWW image annotation methods, based on low level features, page tags, overall word frequency and local word frequency. Then we put forward our method of multi-cues integration image annotation. Also, show multi-cue image annotation method is more superior than other method through an experiment.

• The Journal of the Acoustical Society of Korea
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• v.39 no.5
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• pp.447-453
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• 2020

In this paper, we propose a system to extract effective speaker representations from a speech signal using a deep learning method. Based on the fact that speech signal contains identity unrelated information such as text content, emotion, background noise, and so on, we perform a training such that the extracted features only represent speaker-related information but do not represent speaker-unrelated information. Specifically, we propose an auto-encoder based disentanglement method that outputs both speaker-related and speaker-unrelated embeddings using effective loss functions. To further improve the reconstruction performance in the decoding process, we also introduce a discriminator popularly used in Generative Adversarial Network (GAN) structure. Since improving the decoding capability is helpful for preserving speaker information and disentanglement, it results in the improvement of speaker verification performance. Experimental results demonstrate the effectiveness of our proposed method by improving Equal Error Rate (EER) on benchmark dataset, Voxceleb1.