• Journal of Korea Multimedia Society
• /
• v.7 no.10
• /
• pp.1452-1463
• /
• 2004

The requirement of automatic video summary is increasing as bi-directional broadcasting contents and various user requests and preferences for the bi -directional broadcast environment are increasing. Automatic video summary is needed for an efficient management and usage of many contents in service provider as well. In this paper, we propose a method to generate a content-based summary of linguistic educational videos automatically. First, shot-boundaries and keyframes are generated from linguistic educational video and then multiple(low-level) visual features are extracted. Next, the semantic parts (Explanation part, Dialog part, Text-based part) of the linguistic educational video are generated using extracted visual features. Lastly the XMI- document describing summary information is made based on HieraTchical Summary architecture oi MPEG-7 MDS (Multimedia I)escription Scheme). Experimental results show that our proposed algorithm provides reasonable performance for automatic summary of linguistic educational videos. We verified that the proposed method is useful ior video summary system to provide various services as well as management of educational contents.

• Korean Journal of Cognitive Science
• /
• v.12 no.4
• /
• pp.11-27
• /
• 2001

Machine translation (MT) quality assessment is an outstanding problem. In the present situation in which the quality of machine-translated products are far from the user\\`s satisfaction objective evaluation of MT system is a prerequisite to building mutual trust between the users and the vendors stimulating constructive competition among the developers and finally leading to improve the quality of MT systems. Especially there emerges a need for an intensive study on how to evaluate the quality of MT systems from both linguistic and data processing aspects and to secure a steady improvement of the translation quality. With due regard to such points we in this paper present a linguistic evaluation of English-to-Korean machine translation based on a test suite composed of 3.373 sentences that were classified into their linguistic phenomena and complexity levels and report the experimental results made from several commercial MT systems.

• Journal of Convergence for Information Technology
• /
• v.10 no.10
• /
• pp.15-23
• /
• 2020

It is a reality that users do not know well what kind of information protection policy the cloud service provider presents to consumers. The purpose of this study is to find a way to improve the effectiveness of information protection by analyzing the content and linguistic characteristics of information protection policies provided by cloud service providers. In order to achieve the purpose of this study, we investigate the contents of information protection policies of 47 companies that provide cloud services and analyze the influence of linguistic characteristics to come up with a plan to increase the efficiency of cloud services. The research results showed that low readability due to comprehensive expression of technical processing methods, etc., could lead to legal disputes and to hinder the spread of cloud services. The research results can increase the effectiveness of information protection by suggesting items to be provided to users.ing, Privacy, confidentiality, linguistic characteristics, Accounting Information.

• Korean journal of communication and information
• /
• v.20
• /
• pp.57-109
• /
• 2003

The purpose of this study was to investigate narrative structure and meaning structure of pictures In TV reporting. TV reporting consists of linguistic representation and pictural representation with which implicate specific meanings. In the past, the latter has been considered as a kind of added material to the former. But, todays, the latter has been considered more important than the latter in implicating specific meanings. Therefore, the author analysed pictures of TV reporting. Specifically, he selected KBS TV news coverage on '9 11 Disaster of U.S.' with various semiological research methods. Through this study, firstly, It was found that the pictural representation was organized with specific narrative structure applied for linguistic representation. Secondly, its meaning was more important than one of linguistic representation. Thirdly, its styles and structures tended to confine range, abstract and limitation of meanings presented by linguistic representation. Fourthly, images of the pictural representation could be interpreted with narrative structures of linguistic representation.

• The Journal of the Korea Contents Association
• /
• v.13 no.2
• /
• pp.522-531
• /
• 2013

The purpose of this study is to find the effect of home environmental stimuli and mothers' personal variables in multicultural family on children's linguistic abilities. The object of this study is 132 infants and their mothers of 82 infant education institutes located in P city. The main results of the study are as follows: First, the means of communication (generally Korean) is found to have the greatest effect 0n children's linguistic abilities of the personal variables of mothers from multicultural families. Second, the formation of stable and predictable environments affects children's linguistic abilities (receptive and expressive language) most of all the home environmental stimuli. Third, children's receptive language was most affected by the formation of stable and predictable environments, and their expressive language was most affected by the aspects of physical environments.

• Human Ecology Research
• /
• v.56 no.2
• /
• pp.133-144
• /
• 2018

The study examined the longitudinal relations of preschool children's peer interaction, linguistic and cognitive abilities, and self-control, while taking into account gender differences. The study was conducted with 671 preschoolers from the $5^{th}$, $6^{th}$, and $7^{th}$ wave of the Korean Children and Youth Panel Study (KCYPS). Data were analyzed by means of basic descriptive statistics, Pearson's correlations, and structural equation modeling analysis. Bootstrapping method was also used to determine the significance of indirect effects. The analysis were conducted to find the longitudinal effects of peer interaction at the age of 4 on their self-control at the age of 6, and the mediating effects of linguistics and cognitive abilities at the age of 5 on its associations. The results indicated gender differences among the variables. According to multi-group analysis, there was a significant influence of 4 years' peer interaction on subsequent 5 years' linguistic and cognitive abilities but also on 6 years' self-control across time for boys; however, no significant direct effect of peer interaction on self-control was found for girls. Based on the findings of this study, it can be implied that it is necessary to apply different methods for boys and girls to promote self-control from the influence of peer interaction and linguistic and cognitive abilities.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.12 no.5
• /
• pp.417-423
• /
• 2002

In this paper, we propose intelligent steering control system that apply LIBL(Linguistic Instruction Based Learning) method to steering system of ship and take the place of process that linguistic instruction such as officer s steering instruction is achieved via ableman. We embody ableman s suitable steering manufacturing model using fuzzy inference rule by specific method of study, and apply LIBL method to present suitable meaning element and evaluation rule to steering system of ship, embody intelligent steering gear control system that respond more efficiently on officer s linguistic instruction. We presented evaluation rule to constructed steering manufacturing model based on ableman s experience, and propose rudder angle for steering system, compass bearing arrival time, meaning element of stationary state, and correct ableman manufacturing model rule using fuzzy inference. Also, we apply LIBL method to ship control simulator and confirmed the effectiveness.

• Phonetics and Speech Sciences
• /
• v.3 no.1
• /
• pp.125-134
• /
• 2011

The current study investigated the effects of experience of deaf speech, severity of speaker's articulation, and linguistic cues on speech intelligibility of congenitally deafened adults with cochlear implants. Speech intelligibility was judged by 28 experienced listeners and 40 inexperienced listeners using a word transcription task. A three-way (2 $\times$ 2 $\times$ 4) mixed design was used with the experience of deaf speech (experienced/inexperienced listener) as a between-subject factor, the severity of speaker's articulation (mild to moderate/moderate to severe), and linguistic cues (no/phonetic/semantic/combined) as within-subject factors. The dependent measure was the number of correctly transcribed words. Results revealed that three main effects were statistically significant. Experienced listeners showed better performance on the transcription than inexperienced listeners, and listeners were better in transcribing speakers who were mild to moderate than moderate to severe. There were significant differences in speech intelligibility among the four different types of cues, showing that the combined cues provided the greatest enhancement of the intelligibility scores (combined > semantic > phonological > no). Three two-way interactions were statistically significant, indicating that the type of cues and severity of speakers differentiated experienced listeners from inexperienced listeners. The current results suggested that the use of a combination of linguistic cues increased the speech intelligibility of congenitally deafened adults with cochlear implants, and the experience of deaf speech was critical especially in evaluating speech intelligibility of severe speakers compared to that of mild speakers.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2002.12a
• /
• pp.93-97
• /
• 2002

In this paper, we propose intelligent steering control system that apply LIBL(Linguistic Instruction Based Learning) method to steering system of ship and take the place of process that linguistic instruction such as officer's steering instruction is achieved via ableman. We embody ableman's suitable steering manufacturing model using fuzzy inference rule by specific method of study, and apply LIBL method to present suitable meaning element and evaluation rule to steering system of ship, embody intelligent steering gear control system that respond more efficiently on officer's linguistic instruction. We presented evaluation rule to constructed steering manufacturing model based on ableman's experience, and propose rudder angle for steering system, compass bearing arrival time, meaning element of stationary state, and correct ableman manufacturing model rule using fuzzy inference. Also, we apply LIBL method to ship control simulator and confirmed the effectiveness.

• Journal of Information Processing Systems
• /
• v.13 no.4
• /
• pp.653-667
• /
• 2017

The significant advances in information and communication technologies are changing the process of how information is accessed. The internet is a very important source of information and it influences the development of other media. Furthermore, the growth of digital content is a big problem for academic digital libraries, so that similar tools can be applied in this scope to provide users with access to the information. Given the importance of this, we have reviewed and analyzed several proposals that improve the processes of disseminating information in these university digital libraries and that promote access to information of interest. These proposals manage to adapt a user's access to information according to his or her needs and preferences. As seen in the literature one of the techniques with the best results, is the application of recommender systems. These are tools whose objective is to evaluate and filter the vast amount of digital information that is accessible online in order to help users in their processes of accessing information. In particular, we are focused on the analysis of the fuzzy linguistic recommender systems (i.e., recommender systems that use fuzzy linguistic modeling tools to manage the user's preferences and the uncertainty of the system in a qualitative way). Thus, in this work, we analyzed some proposals based on fuzzy linguistic recommender systems to help researchers, students, and teachers access resources of interest and thus, improve and complement the services provided by academic digital libraries.