• Journal of Broadcast Engineering
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• v.15 no.2
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• pp.248-264
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• 2010

In this paper, we presents an efficient rich media framework based on MPEG-4 LASeR PMSI. Rich media provides distinctive features such as dynamic updates and object-based interactivity over the conventional AV centric media service. It rapidly gains its popularity as the convergent multimedia services between broadcasting and telecommunication. MPEG-4 LASeR is an international standard which provides specifications for such rich media services. Recently MPEG added an extension to LASeR called PMSI. It provides an efficient technique to present SI on a scene by referencing specific portions of SI from PI. The presented rich media application is using PMSI of MPEG-4 LASeR standard to provide users a widget-like rich media application. This application utilizes MPEG-4 LASeR with PMSI technique as PI, and this PI references SI to present information that resides in SI on a scene. In this paper, we provide descriptions of technical ingredients used to build the presented application. The framework is presented followed by the implementation result. Possible impacts and applicable services are described in the conclusion.

• Korean journal of communication and information
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• v.72
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• pp.7-51
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• 2015

Job seeking for young adults after college in South Korea is much fierce and highly competitive. Many job seekers tend to experience despair, frustration, and insecurity in such a dire social situation. This study focuses on the job seeking experiences of younger generation people by closely examining the self-introduction letters. This work pays keen attention to the narrative strategies and portrayal of the applicants' self-described activities in these forms of letters through a detailed textual and cultural analysis. In doing so, this analysis attempts to contextualize the complex structures of feeling for the part of young job seekers as well as various social factors and pressures that influence on them.

• Journal of Korean Society of Archives and Records Management
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• v.14 no.3
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• pp.127-151
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• 2014

This study aims to share a methodology for locality reproduction by concretely explaining the theoretical model, procedure, and practice of constructing the Port of Busan Image Digital Archive, based on the photographic and postcard images of the Port of Busan, the representative place of Busan. Among the open-source record management programs, Omeka was chosen in implementing the digital archive because of its suitability for image exhibition. After establishing the principles for archive implementation in accordance with the purpose of the archive, a basic investigation was conducted for the record collection. With the consent of the individuals and institutions that possess the related records on the Port of Busan, such as the National Archives of Korea, the Busan Museum, and the City of Busan, original image artifacts were thus collected. The collected artifacts were then described using the Dublin Core metadata and categorized by time period. The Port of Busan was classified through four distinctive spatial characteristics (transportation, historic, industrial, and living spaces). A total of 11 themes for the exhibition was then suggested. The Busan-Shimonoseki Ferry Boat was chosen as an example exhibition of transportation space.

• Journal of the HCI Society of Korea
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• v.7 no.2
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• pp.35-42
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• 2012

The purpose of this study was to evaluate the usability of the tablet PC-based Korean high-tech AAC(Augmentative Alternative Communication System) software. In order to develop an AAC software which is appropriate to Korean cultural/linguistic contexts and communication needs of the users, we examined the necessity and ease of use for the communication functions that are required in native Korean communication, such as polite expressions, tense expressions, negative expressions, subject-verb auto-matching, and automatic sentence generation functions, using a scenario-based user testing. We also investigated the users' needs, preferences, and satisfaction for the tablet PC-based Korean high tech AAC using a semi-structured and open questionnaires. The participants of this study were 9 special education teachers, 6 speech therapists, and 6 parents whose children had communication disabilities. The results of the usability testing of the tablet PC-based Korean high-tech AAC software presented positive responses in general, by indicating overall scores of above 4 out of 5 except in tense and negative expressions. The necessity and ease of use in the tense and negative expressions were evaluated relatively low, and it might be related to the inconsistent interface with the polite expressions. In terms of the user interface(UI), there were users' needs for clear visual feedback in the symbol selection and display, consistent interface for all functions, more natural subject-verb auto-matching, and spacing in the text within symbols. The results of the usability testing and users' feedback might serve as a guideline to compensate and improve the function and UI of the existing AAC software.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.91-98
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• 2010

Large corpus-based concatenating Text-to-Speech (TTS) systems can generate natural synthetic speech without additional signal processing. Because the improvements in the natualness, personality, speaking style, emotions of synthetic speech need the increase of the size of speech DB, it is necessary to prune the redundant speech segments in a large speech segment DB. In this paper, we propose a new method to construct a segmental speech DB for the Korean TTS system based on a clustering algorithm to downsize the segmental speech DB. For the performance test, the synthetic speech was generated using the Korean TTS system which consists of the language processing module, prosody processing module, segment selection module, speech concatenation module, and segmental speech DB. And MOS test was executed with the a set of synthetic speech generated with 4 different segmental speech DBs. We constructed 4 different segmental speech DB by combining CM1(or CM2) tree clustering method and full DB (or reduced DB). Experimental results show that the proposed method can reduce the size of speech DB by 23% and get high MOS in the perception test. Therefore the proposed method can be applied to make a small sized TTS.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.141-155
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• 2017

As the use of SNS becomes more active, many people are posting their thoughts about specific events in their SNS in the form of text. As a result, SNS is used in various fields such as finance and distribution to conduct service satisfaction surveys and consumer monitoring. However, in the transportation area, there are not enough cases to utilize unstructured data analysis such as emotional analysis. In this study, we developed an emotional analysis methodology that can be used in transportation by using highway VOC data, which is atypical data collected by Korea Expressway Corporation. The developed methodology consists of morpheme analysis, emotional dictionary construction, and emotional discrimination of the collected unstructured data. The developed methodology was verified using highway related tweet data. As a result of the analysis, it can be guessed that many information and information about the construction and the accident were related to the highway during the analysis period. Also, it seems that users complain about the delay caused by construction and accident.

• Sijohaknonchong
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• v.43
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• pp.67-94
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• 2015

This paper presents a method and necessity of this research to study the gosijo Anthology compilation method. The cataloging work was carried out 53 species of gosijo Anthology ranging from 1910-2000's, in order to proceed with the study. There was no way to analyze the compilation of all gosijo Anthology ranging from 53 species in this article. For this reason, select the classic gosijos(模範의 古時調) of Anhwak(安廓) conducted a study gosijo Anthology compilation method. The classic gosijos(模範의 古時調) of Anhwak(安廓) are no new works, will be named as one of the subheadings of the magazine. But not less that 100 can work with and all the works reveal the artist. It also select a topic classification scheme. This point is analyzed with focus on the text to be responsible enough to think that the role of gosijo Anthology. The classic gosijos(模範의 古時調) is thought to have great significance in a few aspects. First, the gosijo The Anthology is only pyeongsijo(平時調) and can be called only sijojip which the artist recorded all the work. Second, the work presented in this gosijo Anthology are the popular songs contained in a number of Gagip(歌集) majority. Third, there is a new artist appears gosijo Anthology does not appear as a writer in the gosijosa(古時調史). They BakDaegil(朴大吉), ChoiSeobung(崔瑞鵬), OhHuisang(吳喜常), JangWooByouk(張友璧), AnSapil(安思弼), AnYungi(安胤基). Fourth, gosijo Anthology reveals the Woodae gagaek(歌客) locality and the foundation of JoSeon(朝鮮) gagok(歌曲).

• Journal of Korean Home Economics Education Association
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• v.18 no.2 s.40
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• pp.135-149
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• 2006

This study analyzed the unit of child rearing in four Household textbooks approved by the Department of Education during the 1920s-30s. These Household textbooks is contained a unit related to child rearing among Household textbooks approved by the Department of Education at that time. The results of the analysis are summarized as follows. First, the structure of the child rearing unit in the Household textbooks were largely composed of 'part, chapter and section' and this structure and contents were similar among all the textbooks. Second. in general, the four textbooks spared a large space for 'childcare,' nursing' and 'new-born babies and infants,' suggesting the importance of these contents. Third, cautions for pregnant women were taught to call attention not only of pregnant women but also of their families to importance of pregnancy. Fourth, the child rearing unit contained many illustrations and pictures and some pictures were shared among the textbooks. Firth, in acquiring medical knowledge related to diseases, the textbooks demanded child-rearing mothers to 'observe' and 'scrutinize' any symptoms appearing in the child. These contents were connected with commercial products but far distant from the realities. The detailed method of 'nursing' also required a lot of time and accuracy impractical in real life.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.126-132
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• 2015

Technology forecasting is about understanding a status of a specific technology in the future, based on the current data of the technology. It is useful when planning technology management strategies. These days, it is common for countries, companies, and researchers to establish R&D directions and strategies by utilizing experts' opinions. However, this qualitative method of technology forecasting is costly and time consuming since it requires to collect a variety of opinions and analysis from many experts. In order to deal with these limitations, quantitative method of technology forecasting is being studied to secure objective forecast result and help R&D decision making process. This paper suggests a methodology of technology forecasting based on quantitative analysis. The methodology consists of data collection, principal component analysis, and technology forecasting by logistic regression, which is one of the data mining techniques. In this research, patent documents related to autonomous vehicle are collected. Then, the texts from patent documents are extracted by text mining technique to construct an appropriate form for analysis. After principal component analysis, logistic regression is performed by using principal component score. On the basis of this result, it is possible to analyze R&D development situation and technology forecasting.

• Journal of Biomedical Engineering Research
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• v.19 no.5
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• pp.469-476
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• 1998

In the case of acquisition and displaying medical Images such as ultrasonography and endoscopy on VGA monitor of PC system, image degradation of tear-drop appears through scan conversion. In this study, we compare several methods which can solve this degradation and implement the hardware system that resolves this problem in real-time with PC. It is possible to represent high quality image display and real-time processing and acquisition with specific de-interlacing device and PCI bridge on our hardware system. Image quality is improved remarkably on our hardware system. It is implemented as PC-based system, so acquiring, saving images and describing text comment on those images and PACS networking can be easily implemented.metabolism. All images were spatially normalized to MNI standard PET template and smoothed with 16mm FWHM Gaussian kernel using SPM96. Mean count in cerebral region was normalized. The VOls for 34 cerebral regions were previously defined on the standard template and 17 different counts of mirrored regions to hemispheric midline were extracted from spatially normalized images. A three-layer feed-forward error back-propagation neural network classifier with 7 input nodes and 3 output nodes was used. The network was trained to interpret metabolic patterns and produce identical diagnoses with those of expert viewers. The performance of the neural network was optimized by testing with 5~40 nodes in hidden layer. Randomly selected 40 images from each group were used to train the network and the remainders were used to test the learned network. The optimized neural network gave a maximum agreement rate of 80.3% with expert viewers. It used 20 hidden nodes and was trained for 1508 epochs. Also, neural network gave agreement rates of 75~80% with 10 or 30 nodes in hidden layer. We conclude that artificial neural network performed as well as human experts and could be potentially useful as clinical decision support tool for the localization of epileptogenic zones.