• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.81-97
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• 2022

This paper's purpose is to get hold of the recent research trend by analyzing the variables uesd in startups related papers. The startups related papers in this paper are the papers which include 'startups' in the title of the registered papers from the year 2013 to the year 2020. This study's analysis methods are text-mining of all variables and text-network analysis of affected variables. Visualizing tool for network analysis is Gephi. The result of variables' analysis is as follows. First, independent variables consist mainly of variables about startups' internal factors and outside environment, but due to startups' features like early stage company's features, innovative features, most of variables are about enterprise internal competitiveness, marketing 4P strategy, entrepreneurship, coopreation method, transformational leadership, enterprise features, lean startup strategy, enterprise internal communication, value orientation, task conflict, relationship conflict, knowledge sharing, etc. Second, dependent variables are mainly about outcome, and are classified into financial performance and non-financial performance by overall concept. In other words, startups related papers have higher interest in non-financial performance, like management performance, team performance, SCM performance as well as financial performance like sales quantity owing to startups' immaturity in getting good financial performance. Through this study we can find out as follows. Although there are not many officially registered papers dealing with startups, those papers include various themes about stratups. For example, there are trendy themes like lean startups strategy, crowdfunding, influencer and accelerator, etc.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.447-456
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• 2020

Korean society is facing the 2017 regime and the era of the fourth industrial revolution. University education is trying to select agendas that focuses on public interest and innovation, which are key words, for change. Unlike recent efforts, practical changes are insufficient. There is a relative lack of discussion on the essence and theory of university education in South Korea. This study looked at the current location of Korean university education and discussed the essential direction from a point of view on critical pedagogy. So far, Korean university education has operated under the control of neo-liberalism for more than 20 years since the May 31 educational reform in 1995. Democracy and deindustrialization, the direction pursued by the 2017 regime and the Fourth Industrial Revolution, differs from neo-liberalism. Therefore, it is necessary to reflect on neo-liberalism and seek a subsequent turn of direction. Henry Giroux has been critical of the neo-liberalistic policy of American education, which has been a major discourse since 1980, and has discussed proposals for various changes. In particular, it provides clear coordinates for the features of human resources as educated people. For example, they are intellectuals, border intellectuals, and public intellectuals. These intellectuals have independent, autonomous, active, self-reliant characteristics and have a duty and accountability to pursue for public interests. It is also closely related to the 2017 regime and the Fourth Industrial Revolution. Along with this discussion, university education seems to need serious and rigorous discussion and consideration.

• Journal of Science Education
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• v.36 no.2
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• pp.329-340
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• 2012

The purpose of this study is to analyze the terms which were described in panels for astronomic article on exhibition at the Gwacheon National Science Museum, and to clarify that the terms were appropriate and easily understandable or not. In research, totally, 965 terms were collected in 52 panels(14 panels in planetarium, 17 panels in national history part, and 21 panels in traditional science part). All terms were categorized to 4types, as 1.Standard/Scientific terms, 2.Non-Standard/Scientific terms, 3.Standard/Non-Scientific terms, 4. Non-Standanrd/Non-Scientific casual words, based on 'Dictionary of Standard Korean' and 'Terminology of Astronomy'. And questionnaires survey was done to 24 in-service teachers at elementary school, middle school, and high school to clarify that the level of the terms are appropriate to students. The results of this study show that accurate scientific terms were 68.5%, and many of students had difficulty in understanding those scientific terms in the panels because of unfamiliarity. Therefore, in order to make students get more interest and better understanding, it is proposed to minimize scientific terms and to substitute them to casual terms which were related with practical life.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.91-106
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• 2010

Recently, interest in supply chain management is rising along with the increasing oil prices and traffic congestion. In particular, people started studying the issue, but realized that advantageous strategies for suppliers and retailers are not always advantageous to a carrier. Therefore, in this study the atuhors set up a simulation scenario to understand delivery vehicle routing problems under various inventory policies, namely Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) and network configurations. First, the authors made a virtual supply chain. Then they analyzed characteristics of delivery vehicle routing under various inventory policies (EOQ and POQ) and network configurations. As a result, the POQ inventory policy decreases the number of vehicles, the number of drivers, and the service time of vehicles. Also, the centralized network increases the load factor of vehicles and decreases the service time of vehicles. In other words, the centralized network and the POQ inventory policy are better for the carrier. These results show a savings of 15,556,806 won ($13,389.10) in a month: a reduction of 17%.

• Analyses & Alternatives
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• v.7 no.2
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• pp.147-178
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• 2023

While most of countries today are opposing the issuance of private-led cryptocurrency, nevertheless they are actively jumping into the issuance of government-led digital currency such as CBDC. This article aims to find an answer to this dual attitude of countries. To achieve the purpose, this article finds out the characteristics of political power and economic interest that digital currency has and applies it to the international dimension of the Bretton Woods II System. Then come up to the conclusion that the answer can be found in the fact that the current dual attitude of countries is closely related to the crisis of the international monetary order. The Bretton Woods II System, which led the world economy through reckless monetary expansion based on credit currency, exposed its limitations through the 2008 global financial crisis and put countries into difficulties. In this situation, the cryptocurrency, which appeared by raising the issue of the monopoly power of the central authority in issuing currency, had no choice but to act as an opportunity to drive countries further and further into a corner. This article views CBDC as a national response to address these issues. In other words, countries maintain their monetary power by absorbing the challenge of private digital currency at the government level through CBDC, and use this as a stepping stone to reorganize the international monetary order in crisis with the intention to use it as a means to their advantage. That is what this article is trying to argue.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.175-190
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• 2006

For the recent several years, there has been much interest in lexical semantic network However it seems to be very difficult to evaluate the effectiveness and correctness of it and invent the methods for applying it into various problem domains. In order to offer the fundamental ideas about how to evaluate and utilize lexical semantic networks, we developed two automatic vol·d clustering systems, which are called system A and system B respectively. 68.455.856 words were used to learn both systems. We compared the clustering results of system A to those of system B which is extended by the lexical-semantic network. The system B is extended by reconstructing the feature vectors which are used the elements of the lexical-semantic network of 3.656 '-ha' verbs. The target data is the 'multilingual Word Net-CoroNet'. When we compared the accuracy of the system A and system B, we found that system B showed the accuracy of 46.6% which is better than that of system A. 45.3%.

• KIISE Transactions on Computing Practices
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• v.22 no.2
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• pp.69-76
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• 2016

With the recent increase of the interest in IoT in almost all areas of industry, computing technologies have been increasingly applied in human environments such as houses, buildings, cars, and streets; in these IoT environments, speech recognition is being widely accepted as a means of HCI. The existing server-based speech recognition techniques are typically fast and show quite high recognition rates; however, an internet connection is necessary, and complicated server computing is required because a voice is recognized by units of words that are stored in server databases. This paper, as a successive research results of speech recognition algorithms for the Korean phonemic vowel 'ㅏ', 'ㅓ', suggests an implementation of speech recognition algorithms for the Korean phonemic vowel 'ㅣ'. We observed that almost all of the vocal waveform patterns for 'ㅣ' are unique and different when compared with the patterns of the 'ㅏ' and 'ㅓ' waveforms. In this paper we propose specific waveform patterns for the Korean vowel 'ㅣ' and the corresponding recognition algorithms. We also presents experiment results showing that, by adding neural-network learning to our algorithm, the voice recognition success rate for the vowel 'ㅣ' can be increased. As a result we observed that 90% or more of the vocal expressions of the vowel 'ㅣ' can be successfully recognized when our algorithms are used.

• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.35-44
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• 2019

Individuals with problematic hypersexual behavior (PHB) evince the inability to control sexual impulses and arousal. Previous studies have identified that these characteristics are related to structural and functional changes in the brain region responsible for inhibitory functions. However, very little research has been conducted on the functional connectivity of these brain areas during the resting state in individuals with PHB. Therefore, this study used functional magnetic resonance imaging devices with the intention of identifying the deficit of the functional connectivity in the executive control network in individuals with PHB during the resting state. Magnetic resonance imaging data were obtained for 16 individuals with PHB and 19 normal controls with similar demographic characteristics. The areas related to the executive control network (LECN, RECN) were selected as the region of interest, and the correlation coefficient with time series signals between these areas was measured to identify the functional connectivity. Between groups analysis was also used. The results revealed a significant difference in the strength of the functional connectivity of the executive control network between the two groups. In other words, decreased functional connectivity was found between the superior/middle frontal gyrus and the caudate, and between the superior/middle frontal gyrus and the superior parietal gyrus/angular gyrus in individuals with PHB. In addition, these functional Connectivities related to the severity of hypersexual behavior. The findings of this study suggest that the inability to control sexual impulses and arousal in individuals with PHB might be related to the reduced functional connectivity of executive control circuits.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.209-215
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• 2022

In this study, detailed factors of public sentiment toward the 'post-corona new normal' were examined through social media big data sentiment analysis. Thus, it is to provide basic data to preemptively cope with the post-COVID-19 era. For data collection and analysis, the emotional analysis program of 'Textom', a big data analysis program, was used. The data collection period is one year from October 5, 2020 to October 5, 2021, and the collection channels are set as blogs, cafes, Twitter, and Facebook on Daum and Naver. The original data edited and refined a total of 3,770 collected texts from this channel were used for this study. The conclusion is as follows. First, there is a high level of interest and liking for the 'post-corona new normal'. In other words, it can be seen that optimism such as daily recovery, technological growth, and expectations for a new future took the lead at 77.62%. Second, negative emotions such as sadness and rejection are 22.38% of the total, but the intensity of emotions is 23.91%, which is higher than the ratio, suggesting that these negative emotions are intense. This study has a contribution to the detailed factor analysis of the public's positive and negative emotions through big data analysis on the 'post-corona new normal'.

• Communications of Mathematical Education
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• v.28 no.1
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• pp.45-55
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• 2014

Lacan gives an explanation on our real actual world by the concepts the "Real", the "Imaginary" and the "Symbolic". Although this three registers are not far from each other, they never can be unified. Among animals, only human has interest in the "truth". The concept of truth is discussed and debated in several contexts, including philosophy and religion. Many human activities depend upon the concept, which is assumed rather than a subject of discussion, including science, law, and everyday life. Language and words are a means by which humans convey information to one another, and the method used to determine what is a "truth" is termed a criterion of truth. Accepting then that "language is the basic social institution in the sense that all others presuppose language", Lacan found in Ferdinand de Saussure's linguistic division of the verbal sign between signifier and signified a new key to the Freudian understanding that "his therapeutic method was 'a talking cure'". The purpose of this paper is to understand Lacan's psychology and psychoanalysis by using the mathematical concepts and mathematical models, especially geometrical and topological models. And re-explanation of the symbolic model and symbols can help students understand new ideas and concepts in the educational scene.