• Proceedings of the Korean Institute of Interior Design Conference
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• 2007.05a
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• pp.95-96
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• 2007

Language is the method for communication. Semantician, G. Leech categorized the function of language as informational, expressive, directive, aesthetic and phatic one. Therefore, language can be defined as the social symbol system and the media for communication. Space, also, performs the role of symbol, information and communication. Space can be the media for the communication and the design can be logical construction process by it's arbitrary interpretation. The researcher considered the common points between verbal language and visual language as the tools for the mutual communication, tried to transit them into the 'space' as object language after analyzing 'image of poetry' as meta language, so that the old perspective of space design as function can be renewed as information system of the significant meaning delivery in the context of language's multiplicity, expandibility and changeability.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.4
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• pp.119-123
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• 2011

In recent years, several technologies have brought many changes in the field of education. Nonetheless, it is difficult to get freely medical and professional knowledge in the educational environment. In this paper, we study a free medical education system for medical education through service to the Mashup offers a meta-search system. Received permission to use the system API to retrieve the content API, data retrieval systems and video content via the API to design a system, based on this medical education, meta-search system is implemented.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.92-98
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• 2024

This meta-analysis systematically reviewed studies on mirror therapy focused on arm and hand function in stroke patients, aiming to comprehensively assess the efficacy of mirror therapy interventions and furnish empirical support for its potential application and future development in the context of stroke rehabilitation. A rigorous search for articles published in international journals up to the year 2022 was conducted. Various assessment tools were employed to calculate effect sizes, evaluating the impact of mirror therapy on arm and hand function in stroke patients. Utilizing a random-effects model, mean effect sizes were determined, yielding a total effect size of 0.545. The effect sizes for the Brunnstrom Recovery Stage (BRS), Box and Block Test (BBT), Modified Barthel Index (MBI), Fugl-Meyer Assessment (FMA), and grip strength test were 0.957, 0.596, 0.490, 0.488, and 0.417, respectively. In summary, we suggest that mirror therapy engenders positive changes in functional recovery among stroke patients, establishing a foundation for its tailored clinical application based on individual subject characteristics.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.150-156
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• 2022

Recently, the use of Unreal Engine for animation production is increasing. In this situation, Unreal Engine's 'MetaHuman Creator' helps make it easier to apply realistic characters to animation. In this regard, we tried to produce animations using 'MetaHuman' and verify the effectiveness and differences from the animation production process using only Maya software. To increase the efficiency of the production process, the animation process was made with Maya software. We tried to import animation data from Unreal Engine and go through the process of making animations, and try to find out if there are any problems. And we tried to compare animations made with realistic 'MetaHuman' characters and animation works using cartoon-type characters. The use of the same camera lens in realistic character animations and cartoon character animations produced based on the same scenario was judged to be the cause of the lack of realistic animation screen composition. The analysis revealed that a different approach from the existing animation camera lens selection is required for the selection of the camera lens in the production of realistic animation.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.55-64
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• 2008

The Internet possesses not only features of mass media but also features of word of mouth communication. Communication channel is considered as one of most important variables in diffusion process. In this paper, we examined functionality of technology diffusion on the Internet through the use of meta tags. We have measured the coefficients of the Bass diffusion model which has been well-established in new product diffusion. This research shows that the Bass model is appropriate for describing technology diffusion on the Internet. The external influence as represented by the coefficient of innovation was found to be much smaller while the internal influence dominates in all meta tag diffusion. In meta tag diffusion, the internal influence as represented by the coefficient of imitation was increased at least twice bigger than that of consumer durables and information technology. Collecting necessary data in social sciences research can be a burden. This research shows that it can be alleviated through the use of software agents over the Internet. The research made use of software agents for collecting longitudinal data from publicly accessible archive such as Archive.org.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.1
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• pp.15-26
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• 2017

Purpose: This study evaluated the efficacy of a communication ability enhancement program for nursing students in Korea through a systematic review of literature and meta-analysis. Methods: The researchers searched data-bases, including the Data Base Periodical Information Academic, Research Information Sharing Service, National Digital Science Library and National Assembly Library. The key words used included 'communication' and 'nursing student'. The researchers evaluated articles published up to July 2016. Out of 381 selected articles, 20 clinical trial studies were meta-analyzed. Each article was evaluated in accordance with the Checklist of Scottish Intercollegiate Guideline Network. The effect size of communication ability, self-efficacy and interpersonal relations were synthesized by a random effects model from analysis software (R 3.2.3). The heterogeneity of effect size was analyzed by exploratory and confirmatory moderator analysis. Results: The overall effect size of the program was of a moderate level (SMD=0.78, 95% CI: 0.49~1.07) along with each outcome of self-efficacy (SMD=0.80, 95% CI: 0.23~1.37), and interpersonal relations (SMD=0.47, 95% CI: 0.14~0.80). For heterogeneity, moderator analysis was performed, by grade, and a statistically significant moderator was found. Conclusion: It is evident that a communication ability enhancement program for nursing students is moderately effective in improving communication ability, self-efficacy and interpersonal relations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.857-865
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• 2020

This paper presents a method for code generation of UML sequence diagrams based on message patterns. In the sequence diagrams, it is shown that messages are some types of forms typically. This paper classifies according to type as three patterns, and construct meta-information for code generation analysing structural infomation for each patterns. The meta-message of structural information (MetaMessage) is stored in the MetaMessage datastore and the meta-method information from the MetaMessage is stored in the MetaMethod datastore. And then, the structural information of MetaClass and MetaObject is constructed in each datastore too. For each pattern, this paper presents a method for code generation based on the meta information of message patterns and the syntax of target progamming language. Also, branching and looping that has been seldom handled integratedly in the previous works are handled as same as the basic patterns by classifying the branching pattern and the looping pattern for code generation integratedly.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.68-74
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• 2019

Along with the deeper architecture in the deep learning approaches, the need for the data becomes very big. In the real problem, to get huge data in some disciplines is very costly. Therefore, learning on limited data in the recent years turns to be a very appealing area. Meta-learning offers a new perspective to learn a model with this limitation. A state-of-the-art model that is made using a meta-learning framework, Meta-SGD, is proposed with a key idea of learning a hyperparameter or a learning rate of the fast adaptation stage in the outer update. However, this learning rate usually is set to be very small. In consequence, the objective function of SGD will give a little improvement to our weight parameters. In other words, the prior is being a key value of getting a good adaptation. As a goal of meta-learning approaches, learning using a single gradient step in the inner update may lead to a bad performance. Especially if the prior that we use is far from the expected one, or it works in the opposite way that it is very effective to adapt the model. By this reason, we propose to add a weight term to decrease, or increase in some conditions, the effect of this prior. The experiment on few-shot learning shows that emphasizing or weakening the prior can give better performance than using its original value.

• Journal of information and communication convergence engineering
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• v.9 no.3
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• pp.287-294
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• 2011

This paper proposes a search system using the topic maps that it extends XMDR into Knowledge based XMDR for solving of the problems of the heterogeneity of distributed data on a network and integrate data by an efficient way. The proposed system combined Topic Maps and the extended metadata registry effectively. The Topic Maps represent related knowledge and reasoning relationship by associations of topic. And the extended metadata registry standards and manages the metadata of the local systems through registration and certification on the distributed environment. We also proposed a meta layer, include the meta topic and meta association to achieve semantic classification grouping of topics and to define relationship between Topic Maps and extended metadata registry.

• Journal of information and communication convergence engineering
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• v.6 no.4
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• pp.470-474
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• 2008

A well-designed computer network technology produces benefits on several fields within the organization, between the organizations(suborganizations) or among different organizations(suborganizations). Network technology streamlines business processes, decision process. Graphs are useful data structures capable of efficiently representing a variety of networks in the various fields. Metagraph is a like graph theoretic construct introduced recently by Basu and Blanning in which there is set to set mapping in place of node to node as in a conventional graph structure. Metagraph is thus a new type of data structure occupying its popularity among the computer scientists very fast. Every graph is special case of Metagraph. In this paper the authors introduce the notion of Meta-Networking as a new network technological representation, which is having all the capabilities of crisp network as well as few additional capabilities. It is expected that the notion of meta-networking will have huge applications in due course. This paper will play the role of introducing this new concept to the network technologists and scientists.