• Journal of Distribution Science
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• v.18 no.5
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• pp.71-81
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• 2020

Purpose: This case study illustrates the successful entry of Saudi Aramco in the Korean market and how it grows to become one of the world's largest integrated energy enterprises. Research design, data and methodology: This case investigates diverse secondary sources to examine the entry strategy of Aramco in Korea, such as several interviews including public and anonymous dialogues, periodicals, dispatches (i.e. news articles and magazines), annual reports, industrial reports, and others. Results: The main concern for the international strategic approaching of Saudi Aramco is to enter into Korean market by joint venture with SsangYong Oil (today's S-Oil Corporation) in 1991 and finally, ending by Acquisition of S-Oil in 2015. This acquisition of local No.3 company, S-Oil, in Korea is the successful case in Asian Markets overcoming liability of foreignness. Moreover, Saudi Aramco's global distribution strategy through localization in the Korean market is appropriate given the market conditions, timing, effectiveness, and efficiency by sharing their resources and collaborating. Conclusions: It would be valuable, unique, and real story to analyze global leading company's entry and globalization strategy in overseas market. In addition, this study provides decision-makers with a significant and more strategic implication for the overseas expansion of businesses.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.169-176
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• 2015

Recently smartphone market is rapidly growing and application market has also grown significantly. Mobile applications have been provided in various forms, such as education, game, SNS, weather and news. And It is distributed through a variety of distribution channels. Malicious applications deployed with malicious objectives are growing as well as applications that can be useful in everyday life well. In this study, Events from a malicious application that is provided by the normal application deployment and Android MalGenome Project through the open market were extracted and analyzed. And using the results, We create a model to determine whether the application is malicious. Finally, model was evaluated using a variety of statistical method.

• Korean Journal of Human Ecology
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• v.9 no.2
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• pp.53-63
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• 2006

The purpose of this study is to analyze the background and characteristics of fashion in wanna-be phenomenon. The primary source of data has been a collection of recent books, news repots, many articles from various kinds of mass media and fashion internet cite. The results of this study can be summarized as follow. First, The wanna-be phenomenon can be divided the background into three parts : change to entertainment society, increase of mass consumption, increase mutual communication with star and fan. Second, the function of fashion in wanna-be phenomenon can be divided with the following: the function of self-expression, guide book of trendy lifestyle, and play for pleasure. Third, fashion style in wanna-be phenomenon can be divided with the following : chic & gorgeous style, sexy casual & chav style, bohemian mix & match style.

• Journal of Contemporary Eastern Asia
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• v.18 no.2
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• pp.49-67
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• 2019

Since returning to power in 2012, the second Abe administration has pressured Japanese mainstream media in various ways, from creating the Secrecy Act to forming close relationships with media executives and promoting anti-journalism voices on social media. This article focuses on the growth of a jingoist group called the 'Net-rightists' ('Neto-uyo' in the Japanese abbreviation) on the Internet, which has been supporting the right-wing government and amplifying its historical revisionist views of Japanese colonialism. These heavy Internet users deny Japan's war crimes against neighboring Asian countries and disseminate fake news about the past, which justifies Prime Minister Shinzo Abe's hostile diplomatic policies against South Korea and China. Over the past years, the rightist online discourses have become powerful to such an extent that the editorials of major newspapers and TV reports shifted to more nationalist tones. Who are the Neto-uyo? Why have they emerged from the online world and proliferated to the offline world? Two significant characteristics of new media are discussed to analyze their successful media manipulation: cultural transcoding and perpetual rewriting of collective memories. These characteristics have resulted in constructing and reinforcing the data loops of the 'Daily Us' versus Them, technologically raising current diplomatic tensions in East Asia.

• Korean Journal of Oriental Medicine
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• v.15 no.1
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• pp.49-54
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• 2009

Objectives : The study aims at assessing information on cultural festivals of Korean medicine. Method : We investigated data about the National Festival collected from asking the Ministry of Culture, Sports and Tourism, Efestival of YonhapNews, Driving Korea of KBS and JOINS. Result : Since the 1990s, cultural festivals of Korean medicine are increased. The festival of the ginseng was the most. 5 cultural festivals held on The Chungcheongnam-do are the best in cultural festivals of Korean medicine. 65% of cultural festivals was held in the fall. In the budget of the cultural festivals in Korean medicine, the most were 1~5 hundred million won. Conclusions : We wish to propose a model for developing cultural semiology and visual literacy, with the Korean medicine. Subsequently, it is expected that such a model can underpin the importance of developing coherent edutainment content while illustrating the true meaning/value of local festivals.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.1
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• pp.76.2-76.2
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• 2012

The understanding spectral characterization of possible earth-like extra solar planets has generated wide interested in astronomy and space science. The technical central issue in observation of exoplanet is deconvolution of the temporally and disk-averaged spectra of the exoplanets. The earth model based on atmospheric radiative transfer method has been studied in recent years for solutions of characterization of earthlike exoplanet. In this study, we report on the current progress of the new method of 3D earth model as a habitable exoplanet. The computational model has 3 components 1) the sun model, 2) an integrated earth BRDF (Bi-directional Reflectance Distribution Function) model (Atmosphere, Land and Ocean) and 3) instrument model combined in ray tracing computation. The ray characteristics such as radiative power and direction are altered as they experience reflection, refraction, transmission, absorption and scattering from encountering with each all of optical surfaces. The Land BRDF characteristics are defined by the semi-empirical "parametric-kernel-method" from POLDER missions from CNES. The ocean BRDF is defined for sea-ice cap structure and for the sea water optical model, considering sun-glint scattering. The input cloud-free atmosphere model consists of 1 layers with vertical profiles of absorption and aerosol scattering combined Rayleigh scattering and its input characteristics using the NEWS product in NASA data and spectral SMARTS from NREL and 6SV from Vermote E. The trial simulation runs result in phase dependent disk-averaged spectra and light-curves of a virtual exoplanet using 3D earth model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• Communications for Statistical Applications and Methods
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• v.27 no.3
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• pp.313-326
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• 2020

Deep Learning is the most important key to the development of Artificial Intelligence (AI). There are several distinguishable architectures of neural networks such as MLP, CNN, and RNN. Among them, we try to understand one of the main architectures called Recurrent Neural Network (RNN) that differs from other networks in handling sequential data, including time series and texts. As one of the main tasks recently in Natural Language Processing (NLP), we consider Neural Machine Translation (NMT) using RNNs. We also summarize fundamental structures of the recurrent networks, and some topics of representing natural words to reasonable numeric vectors. We organize topics to understand estimation procedures from representing input source sequences to predict target translated sequences. In addition, we apply multiple translation models with Gated Recurrent Unites (GRUs) in Keras on English-Korean sentences that contain about 26,000 pairwise sequences in total from two different corpora, colloquialism and news. We verified some crucial factors that influence the quality of training. We found that loss decreases with more recurrent dimensions and using bidirectional RNN in the encoder when dealing with short sequences. We also computed BLEU scores which are the main measures of the translation performance, and compared them with the score from Google Translate using the same test sentences. We sum up some difficulties when training a proper translation model as well as dealing with Korean language. The use of Keras in Python for overall tasks from processing raw texts to evaluating the translation model also allows us to include some useful functions and vocabulary libraries as well.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.3
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• pp.355-364
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• 2006

Purpose: This study was conducted to examine the perceptions of nurses and nursing students on nursing law legislation in Korea. Method: This was a descriptive study. The data were collected by questionnaires from 1914 nurses and 408 nursing students and analyzed using descriptive statistics and t-test. Results: Most of respondents (73.5%) had received the information on nursing law legislation mainly through the nursing news letter, nursing magazine(Taehan Kanhoo), and Korean Nurses Association internet homepage. However, they expressed they did not know sufficiently about the nursing law legislation and wanted know more about it. They strongly supported the nursing law legislation. There were significant differences in perceptions between the people who had a chance to know about the nursing law legislation and who did not. Conclusion: Education should be offered not only to the people who wanted to know more about on nursing law legislation and but also to the people who are not concerned or never had a chance to know about this. It is important to empower nurses and nursing students to be proactive on the issues of nursing law legislation.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.636-639
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• 2016

빅데이터의 일종인 뉴스기사 중에 아이돌 그룹관련 뉴스기사는 아이돌 그룹의 대중적 인기에 힘입어 전체 연예계 기사 중에 점점 큰 비중을 차지하고 있다. 아이돌 그룹의 소속사는 여러 홍보 방법 중 뉴스기사의 노출을 통해 비교적 저렴한 비용으로 홍보하여 음원차트 순위 향상을 위해 노력하고 있다. 본 논문에서는 뉴스기사와 음원차트 간의 상관관계를 분석하여 뉴스기사의 노출이 효율적 홍보 수단 인지를 알아보기 위해 먼저 감성분석을 통해 긍정기사와 부정기사가 음원차트 순위에 미치는 영향을 분석하고, 뉴스기사의 수가 많을수록 음원차트 순위가 상승하는지에 대해 알아보고자 한다. 이를 위해 본 논문에서는 R 언어를 이용하여 데이터 수집을 위한 웹 크롤러 설계, 회귀분석을 이용한 감성사전 구축 및 감성분석, 마지막으로 피어스만 상관계수를 이용한 상관관계 분석을 수행한다.