• International journal of advanced smart convergence
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• v.8 no.2
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• pp.183-190
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• 2019

In the era of the Fourth Industrial Revolution, digital transformation, which means changes in all industrial structures, politics, economics and society as well as IT technology, is an important issue. It is difficult to know which research topic is being studied because digital transformation is being studied in various fields. Convergence research is possible because a research topic is studied in various fields such as computer science area and Decision science area. However, it is difficult to know the specific research status of the research topic. In this study, eight research topics were derived using the topic modeling technique of text mining for abstract of academic literature and the trend of each topic was analyzed. We also proposed to create a Topic-Word Proportions Table in the LDA based Topic modeling process to predict the topic of new literature. The results of this study are expected to contribute to advanced convergence research on topic of digital transformation. It is expected that the literature related to each research topic will be grasped and contribute to the design of a new convergence research.

• Korean journal of communication and information
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• v.66
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• pp.59-86
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• 2014

This study explored how rumor is diffused via Twitter and how the characteristics of rumor affect the interactivity among users in the Korea-U.S. FTA case. A key word search located three issues as major ones related to the Korea-U.S. FTA: appendectomy myth, collapse of health insurance, and increases in medicine prices. The arousal of rumor has two dimensions: fact and expression. The fact arousal was the highest in the issue of 'appendectomy myth', and the expression arousal the highest in 'increases in medicine prices'. The rumor diffusion took the 'explosive wave' in the issue of appendectomy myth, the 'latent wave' in the issue of increase in medicine prices, and the 'repetitive wave' in the issue of collapse of health insurance. Correlation analyses revealed a high correlation between the arousal intensity of rumor and the user interactivity in the issue of collapse of health insurance. The study showed that Twitter took a role of diffusing negative messages about the Korea-U.S. FTA. Results implies that government officials and journalists pay attention to Twitter for sensing the public opinion when building policies and managing crises.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.460-469
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• 2020

This study analyzes online news articles and cafe articles on the '5-day Rotation Mask Distribution System', which is emerging as a recent issue due to the COVID-19 incident, to identify the mass media and social media agendas containing media and public reactions. This study figured out the difference between mass media and social media. For analysis, we collected 2,096 full text articles from Naver and 1,840 posts from Naver Cafe, and conducted word frequency analysis, word cloud, and LDA topic modeling analysis through data preprocessing and refinement. As a result of analysis, social media showed real-life topics such as 'family members' purchase', 'the postponement of school opening', ' mask usage', and 'mask purchase', reflecting the characteristics of personal media. Social media was found to play a role of exchanging personal opinions, emotions, and information rather than delivering information. With the application of the research method applied to this study, social issues can be publicized through various media analysis and used as a reference in the process of establishing a policy agenda that evolves into a government agenda.

• Korean Medical Education Review
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• v.11 no.2
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• pp.33-37
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• 2009

Teaching and learning were carried out long before the word "education" was coined. As teaching and learning became more universal, the word "education" was construed as a social promise, and there was a general consensus as to what it denoted. Many university professors will most likely have great confidence and expertise with respect to "teaching" in their area of specialization, and they believe that they are fulfilling a social promise. However, how much expertise do they have in actually making students "learn"? How concerned are professors about enabling students to utilize their potential and talents to cultivate their learning abilities and to adjust to the different demands of various fields? The same issue arises in medical education. To what extent can professors' teaching heighten students' sense of purpose and motivation to learn? With regard to increasing learners' initiatives, the learning model of constructivism presupposes that learners are active and creative, have their own personalities, and possess unlimited learning potential. The PBL being carried out in medical schools today is a form of study that can take advantage of these aspects of learners. They can maximally widen the range of students' development through many intellectual activities and solve difficult problems by either sharing or critiquing the thoughts and ideas of others. The acts of teaching and learning that have been carried out for thousands of years remain difficult to this day and must be ceaselessly deliberated and researched by experts in the field of education. Just as good teachers are required to produce good learners, we must give ourselves room to rethink the basis of education in order to maximize effective and efficient learning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2541-2547
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• 2010

In this paper, we propose a design technique which replaces logic transistors of 1.2V with medium-voltage transistors of 3.3V having small off-leakage current in repetitive block circuits where speed is not an issue, to implement a low-power eFuse OTP memory IP in the stand-by state. In addition, we use dual-port eFuse cells reducing operational current dissipation by reducing capacitances parasitic to RWL (Read word-line) and BL (Bit-line) in the read mode. Furthermore, we propose an equivalent circuit for simulating program power injected to an eFuse from a program voltage. The layout size of the designed 512-bit eFuse OTP memory IP with a 90nm CMOS image sensor process is $342{\mu}m{\times}236{\mu}m$. It is confirmed by measurement experiments on 42 samples with a program voltage of 5V that we get a good result having 97.6 percent of program yield. Also, the minimal operational supply voltage is measured well to be 0.9V.

• The Journal of the Acoustical Society of Korea
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• v.19 no.6
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• pp.53-61
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• 2000

In the speech recognition under the noisy environments, reducing the mismatch introduced between training and testing environments is an important issue. Spectral subtraction is widely used technique because of its simplicity and relatively good performance in noisy environments. In this paper, we introduce histogram method as a reliable noise estimation approach for spectral subtraction. This method has advantages over the conventional noise estimation methods in that it does not need to detect non-speech intervals and it can estimate the noise spectra even in time-varying noise environments. Even though spectral subtraction is performed using a reliable average noise spectrum by the histogram method, considerable amount of residual noise remains due to the variations of instantaneous noise spectrum about mean. To overcome this limitation, we propose a new over-estimation technique based on distribution characteristics of histogram used for noise estimation. Since the proposed technique decides the degree of over-estimation adaptively according to the measured noise distribution, it has advantages to be few the influence of the SNR variation on the noise levels. According to speaker-independent isolated word recognition experiments in car noise environment under various SNR conditions, the proposed histogram-based over-estimation technique outperforms the conventional over-estimation technique.

• Journal of the Korea Society for Simulation
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• v.15 no.3
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• pp.115-124
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• 2006

XML is rapidly becoming technologies for information exchange and representation. It causes many research issues such as semantic modeling methods, security, conversion far interoperability with other models, and so on. Especially, the most important issue for its practical application is how to achieve the interoperability between XML model and relational model. Until now, many suggestions have been proposed to achieve it. However several problems still remain. Most of all, the exiting methods do not consider implicit referential integrity relations, and it causes incorrect data delivery. One method to do this has been proposed with the restriction where one semantic is defined as only one same name in a given database. In real database world, this restriction cannot provide the application and extensibility. This paper proposes a noble conversion (RDB-to-XML) algorithm based on the similarity checking technique. The key point of our method is how to find implicit referential integrity relations between different field names presenting one same semantic. To resolve it, we define an enhanced implicity referentiai integrity relations extraction algorithm based on a widely used ontology, WordNet. The proposed conversion algorithm is more practical than the previous-similar approach.

• Korean Journal of Agricultural Science
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• v.46 no.4
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• pp.955-969
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• 2019

Analyzing on-line consumer responses is directly related to the management performance of food companies. Therefore, this study collected and analyzed data from an on-line portal site created by consumers about food companies with issues and examined the relationships between the data and the management performance. Through this process, we identified consumers' awareness of these companies obtained from big data analysis and analyzed the relationship between the results and the sales and stock prices of the companies through a time-series graph and correlation analysis. The results of this study were as follows. First, the result of the text mining analysis suggests that consumers respond more sensitively to negative issues than to positive issues. Second, the emotional analysis showed that companies' ethics issues (Enterprise 3 and 4) have a higher level of emotional continuity than that of food safety issues. It can be interpreted that the problem of ethical management has great influence on consumers' purchasing behavior. Finally, In the case of all negative food issues, the number of word frequency and emotional scores showed opposite trends. As a result of the correlation analysis, there was a correlation between word frequency and stock price in the case of all negative food issues and also between emotional scores and stock price. Recently, studies using big data analytics have been conducted in various fields. Therefore, based on this research, it is expected that studies using big data analytics will be done in the agricultural field.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.211-217
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• 2015

Recently, school violence problem has increased serious. And this is not only an individual issue but also this is a social problem. Realistically, not only physical violence, cyber violence using the smartphone is very serious. And if the elementary school students are exposed to cyber violence, it becomes even more serious problem. Therefore, we proposed an Smart Monitoring app that protect the smart safety such as as a countermeasure against cyber violence to elementary school students. This Conversion Smart app can support grasp service for children using location based service on the smartphone when he will come to the home. And it can support another service that abuse or vulgar language in messenger. Grasps the degree of use of the language that is prohibited friendship in elementary school through this process, it can be derived. And we have future works that is the search rate and response time an inappropriate word on the proposed system.

• Lingua Humanitatis
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• v.1 no.1
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• pp.33-63
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• 2001

This article does not deal with a theory or theories in the usual sense of the term but rather harks back to its etymological source, theorein ' to look at.' The phrase 'theory of language' thus purports a 'view of language' and does not carry the force of scientific explication of language. In fact, the word ' scientific' or 'science' per se originates from scire 'to know' and is here to be considered not so much in regard to some kind of positivistic methodology as a form of knowledge. If this exposition sounds unduly ingenious, that is because one is caught up in all kinds of presuppositions about the words under consideration. Sometimes, when we come to grips with an issue that strikes our mind as truly important, our language, by the light of which we hope to proceed safely, plays the will-o'-the-wisp instead and leaves us in the middle of a murky maze, twisting what was at first blush a mere cinch into a Gordian knot. On such occasions, etymology comes along the way and sends us back to itself as its own principle: Resort to etymos logos 'original, true word'! The main thrust of the present study is that alongside the quantitative, positivistic thought there is another equally valuable mode of qualitative and humanistic thinking that makes a whole gamut of new and concrete investigations possible, that an integrated theory of language is Possible by way of a happy amalgamation of diversified, humanistic views of language. With this idea as the leitmotif we explore two models of theory which typically set themselves up for a 'scientific' approach to language: analytic philosophy that delves into what it calls logical simples, and contemporary linguistics that stubbornly teeters around some formal rigor or other. It is argued that they are both characterized by a looking away from the fluid, ill-definable aspects of language, giving a preference to segments and isolated facts as a means to avoid those larger wholes and totalities which if they had to be seen would in the long run lead to an uncomfortable state of mind. Language, in the final analysis, is a Protean entity: so capricious and multifarious, and yet so noetic and prophetic, that we should catch sight of its picturesque images in their entirety to give form to an integrated theory of language.