• Journal of Digital Convergence
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• v.11 no.11
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• pp.429-434
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• 2013

In 2011, Government introduced "IT Convergence Technology Prediction Survey 2025". This report includes 10 ICT industries. Convergence was combined with a word 'digital'. Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. In this paper, we described a prospects and technologies needed in digital convergence environment. And we described IT-Building, IT-Car, IT-Medicine, IT-Textile which was related with our lives in today among 10 ICT industries.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.39-50
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• 2015

ICT convergence has attracted attention as a major means of corporate innovation. In this study in-depth interviews was had to analyze the success factors of ICT-based companies that created a performance through the convergence. The success factors of ICT convergence were analyzed by differentiating your company's products and services through the integration of ICT skills, securing convergence technologies with enhanced R&D investment, and the strong leadership of CEO and collaborative relationships at home and abroad for convergence. It is a positive impact on success of ICT convergence to try the innovations in products, to invest R&D aggressively and to construct a global partnership network. As these results, they was proposed as a policy direction for the diffusion of ICT convergence.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.667-678
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• 2018

The purpose of this study is to investigate empirically the factors affecting the research results of humanities and social sciences based convergence research. For this purpose, personal characteristics, research environment factor, researcher factor, research team factor, and support agency factor were set as influence factors of convergence research. Survey was conducted for researchers who are conducting research on humanities and social sciences based convergence research. As a result, it was found that factors influencing research on humanities and social sciences based convergence were researcher factor, supporting agency factor, research environment factor(major), and the influence of these factors on convergence research result was 51.6%. The implications of the research results are as follows: First, when performing the convergence research based on humanities and social science, individual factor of the researcher is more important than the factor of the research team in the performance of convergence research. Second, the support organization can improve the convergence research result through continuous management of convergence research results. Third, the research field (major) of the researcher also influences the performance of the convergence research. Therefore, the research field (major) should be considered important in the formation of the convergence research team.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.689-692
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• 2020

People have studied English using online English dictionaries when they looked for the meaning of English words or the example sentences. These days, as the AI technologies such as machine learning have been developing, documents can be translated in real time with Kakao, Papago, Google translators and so on. But, there has still been some problems with the accuracy of translation. The AI secretaries can be used for real-time interpreting, so this kind of systems are being used to translate such the web pages, papers into Korean. In this paper, we researched on the usage frequency of the combined English phrases from dictionaries by analyzing the number of the searched results on Google. With the result of this paper, we expect to help the people to use more English fluently.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.101-124
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• 2018

Recently, most of the technologies have been developed in various forms through the advancement of single technology or interaction with other technologies. Particularly, these technologies have the characteristic of the convergence caused by the interaction between two or more techniques. In addition, efforts in responding to technological changes by advance are continuously increasing through forecasting promising convergence technologies that will emerge in the near future. According to this phenomenon, many researchers are attempting to perform various analyses about forecasting promising convergence technologies. A convergence technology has characteristics of various technologies according to the principle of generation. Therefore, forecasting promising convergence technologies is much more difficult than forecasting general technologies with high growth potential. Nevertheless, some achievements have been confirmed in an attempt to forecasting promising technologies using big data analysis and social network analysis. Studies of convergence technology through data analysis are actively conducted with the theme of discovering new convergence technologies and analyzing their trends. According that, information about new convergence technologies is being provided more abundantly than in the past. However, existing methods in analyzing convergence technology have some limitations. Firstly, most studies deal with convergence technology analyze data through predefined technology classifications. The technologies appearing recently tend to have characteristics of convergence and thus consist of technologies from various fields. In other words, the new convergence technologies may not belong to the defined classification. Therefore, the existing method does not properly reflect the dynamic change of the convergence phenomenon. Secondly, in order to forecast the promising convergence technologies, most of the existing analysis method use the general purpose indicators in process. This method does not fully utilize the specificity of convergence phenomenon. The new convergence technology is highly dependent on the existing technology, which is the origin of that technology. Based on that, it can grow into the independent field or disappear rapidly, according to the change of the dependent technology. In the existing analysis, the potential growth of convergence technology is judged through the traditional indicators designed from the general purpose. However, these indicators do not reflect the principle of convergence. In other words, these indicators do not reflect the characteristics of convergence technology, which brings the meaning of new technologies emerge through two or more mature technologies and grown technologies affect the creation of another technology. Thirdly, previous studies do not provide objective methods for evaluating the accuracy of models in forecasting promising convergence technologies. In the studies of convergence technology, the subject of forecasting promising technologies was relatively insufficient due to the complexity of the field. Therefore, it is difficult to find a method to evaluate the accuracy of the model that forecasting promising convergence technologies. In order to activate the field of forecasting promising convergence technology, it is important to establish a method for objectively verifying and evaluating the accuracy of the model proposed by each study. To overcome these limitations, we propose a new method for analysis of convergence technologies. First of all, through topic modeling, we derive a new technology classification in terms of text content. It reflects the dynamic change of the actual technology market, not the existing fixed classification standard. In addition, we identify the influence relationships between technologies through the topic correspondence weights of each document, and structuralize them into a network. In addition, we devise a centrality indicator (PGC, potential growth centrality) to forecast the future growth of technology by utilizing the centrality information of each technology. It reflects the convergence characteristics of each technology, according to technology maturity and interdependence between technologies. Along with this, we propose a method to evaluate the accuracy of forecasting model by measuring the growth rate of promising technology. It is based on the variation of potential growth centrality by period. In this paper, we conduct experiments with 13,477 patent documents dealing with technical contents to evaluate the performance and practical applicability of the proposed method. As a result, it is confirmed that the forecast model based on a centrality indicator of the proposed method has a maximum forecast accuracy of about 2.88 times higher than the accuracy of the forecast model based on the currently used network indicators.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.619-631
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• 2019

Researchers are persons who are destined to produce improved knowledge, with duty, responsibility and desire for overcoming limits of the existing knowledge in continuously changing natural and social environments. In addition, both drawing research outcomes 'contributing to the society' by tapping on 'researches convergent with other disciplines', to 'deducing meaningful research outcomes' and 'operating laboratories for fostering convergence talents', for the consistency of incessant researches are the momentum for convergence researchers to continue convergence researches. However, an irony fact is that 53.1% of convergence researchers respond that they began convergence researches from happenstantial momentum (a happenstantial talk with other majors)'. This study examined what was the momentum from which convergence researches began and what was the motive with which they have been consistently conducted and suggested how to continue convergence researches.

• ETRI Journal
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• v.31 no.6
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• pp.667-674
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• 2009

Terahertz time-domain spectroscopy has been used to study the optical and dielectric properties of three chalcogenide glasses: $Ge_{30}As_8Ga_2Se_{60}$, $Ge_{35}Ga_5Se_{60}$, and $Ge_{10}As_{20}S_{70}$. The absorption coefficients ${\alpha}({\nu})$, complex refractive index n(${\nu}$), and complex dielectric constants ${\varepsilon}({\nu})$ were measured in a frequency range from 0.3 THz to 1.5 THz. The measured real refractive indices were fitted using a Sellmeier equation. The results show that the Sellmeier equation fits well with the data throughout the frequency range and imply that the phonon modes of glasses vary with the glass compositions. The theory of far-infrared absorption in amorphous materials is used to analyze the results and to understand the differences in THz absorption among the sample glasses.

• Development and Reproduction
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• v.23 no.2
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• pp.129-138
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• 2019

In many cases, obesity is associated with metabolic disorders. Recently, natural compounds that may be beneficial for improving obesity have received increasing attention. Bitter melon has received attention as a diabetes treatment. $NAD^+$-dependent deacetylase (Sirtuin 1, SIRT1) has emerged as a novel therapeutic target for metabolic diseases. In this study, ethanol extract of bitter melon (BME) suppressed adipocyte differentiation and significantly increased the expression of SIRT1 in fully differentiated 3T3-L1 cells. Moreover, it enhanced the activation of AMP-activated protein kinase (AMPK). In high-fat diet (HFD)-fed induced-obesity mice, BME suppressed HFD-induced increases in body weight and white adipose tissue (WAT) weight. BME also increased the expression of SIRT1 and suppressed peroxisome proliferator-activated receptor and sterol regulatory element binding protein 1 expressions of WAT from HFD-fed mice. These findings suggest that BME prevents obesity by activating the SIRT1 and AMPK pathway and that it may be a useful dietary supplement for preventing obesity.

• Journal of applied mathematics & informatics
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• v.17 no.1_2_3
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• pp.701-707
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• 2005

Delta sequences play an important role in convergence and approximation theory. Much of classical approximation theory is based on delta sequence. The rate of convergence of certain types of these sequences in Sobolev spaces has recently been studied. Here we estimate convergence rate of convolution type delta sequence in higher dimension.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.1
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• pp.40-47
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• 2005

This paper concerns on Filtered-x least mean square (FXLMS) algorithm for adaptive estimation of feedforward control parameters. The conditions for convergence in ensemble mean of the FXLMS algorithm are derived and the directional convergence properties are discussed from a new geometric vector analysis. The convergence and its directionality are verified along with some computer simulations.