• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.83-107
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• 2020

Selecting business charts based on the nature of the data and the purpose of the visualization is useful in business analysis. However, current visualization tools lack the ability to help choose the right business chart for the context. Also, soliciting expert help about visualization methods for every analysis is inefficient. Therefore, the purpose of this study is to propose an accessible method to improve business chart productivity by creating rules for selecting business charts from online published documents. To this end, Korean, English, and Chinese unstructured data describing business charts were collected from the Internet, and the relationships between the contexts and the business charts were calculated using TF-IDF. We also used a Galois lattice to create rules for business chart selection. In order to evaluate the adequacy of the rules generated by the proposed method, experiments were conducted on experimental and control groups. The results confirmed that meaningful rules were extracted by the proposed method. To the best of our knowledge, this is the first study to recommend customizing business charts through open unstructured data analysis and to propose a method that enables efficient selection of business charts for office workers without expert assistance. This method should be useful for staff training by recommending business charts based on the document that he/she is working on.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.273-279
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• 2018

This study aimed at providing a comprehensive account of the sources and causes of errors in business emails that Korean college students wrote using a translation machine. Data were collected from 21 emails written by the students who took a business English course. Findings indicated that the students tended to make frequent errors in verb use and verb tense as well as a definite article, countable/noncountable nouns, time adverbs and prepositions. Therefore, the study suggested that the students' common errors imply that they experience some difficulties learning these linguistic features. Given that learners' errors can give us valuable insights into teaching and learning how to write in English, pedagogical suggestions are put forward based on the study results.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.2
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• pp.153-161
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• 2019

The purpose of this study to examine the status of Korean language education, and to examine the future direction between with korean and China. The Korean language course organized by the European Union Chamber of Commerce and Industry, which selects and conducts consignment companies through annual competition every year since 2002, In order to these goals and needs, it is imperative to develop a curriculum that enhances job skills. As Korean language education, a point that is necessary to clarify terms more clearly, which 'vocational education purpose' is widely used in the term of 'business education'. With all languages education, Korean language education is not meant to teach Korean to foreigners, but it is a process by which learners can apply Korean language learned in classroom to various situations, while outside the classroom through teaching and learning. Otherwise, the curriculum in the four-year college Korean language department in China, which is lacking in acquiring the ability to achieve the Korean language education goals and social needs. Korean language education in China is one of foreign language education and it is different from foreign language education such as English education as Minor Languages education.

• Journal of Fashion Business
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• v.1 no.2
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• pp.74-85
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• 1997

폴 푸아레 (1879-1944)가 패션 역사상 혁명적이라고 할 수 있는 여성의 코르셋을 제거시켰다는 것은 익히 알려진 사실이다. 그리고 그러한 결과로 인해 발생된 새로운 직선형의 실루엣에 화려한 색채와 장식을 하여 이전 시대와는 전혀 다른 현대패션의 근원이 되었다. 본 연구는 푸아레의 새로운 직선 실루엣과 화려한 색채와 경이적 장식의 근원이 다름아닌 동양이라는데 중점을 두었다. 이미 국내의 몇편의 논문에서 이러한 논의가 지적되어 왔으나 다른 논제를 다루는 중에 언급이 되었고 당시의 작품이나 동시대의 자료를 분석한 것이 아닌 근래의 출판물에 의존한 연구가 대부분이었다. 따라서 본 연구에서는 그의 동양풍 디자인의 근원을 밝히는데 있어 가능한한 1 차적 자료의 접근을 시도하였다. 1912년 작품인 이브닝 드레스, 터번, 숄, 구두 각 1점과 그의 작품 의도와 생애의 추구를 말해주는 자서전(1930년 불어본 및 1931년 영어본)과 보그(Vogue)지의 기사(1920년 2월호, 9월호) 등을 통하여 그의 동양에 대한 관심을 살펴보았다. 그 결과 푸아레의 동양 영향의 근원은 19세기 말 유럽에서 절정을 이룬 'Sino-Japonism'(중국-일본주의)의 심취, 러시아 발레단의 의상과 색채, 천일야화의 영향에 의한 중동(페르시아)에 대한 열망, 그리고 인도 토민병의 복식에서 비롯된 터번에의 매료 등이었음을 알 수 있었다. 이러한 근원에서 탄생된 디자인으로는 직선형의 튜닉, 기모노 소매(처음엔 푸아레 자신도 중국의 것으로 혼동을 하기도 했지만), 하렘팬츠, 비대칭적인 카프탄식의 코트, 원색의 사용, 극동지역의 직물과 문양, 술장식, 터번 등으로 나타내었다. 따라서 폴 푸아레의 동양적인 관심은 단지 개인적 '취향 혹은 취미(taste)'가 아니라 한 시대양식으로 자리잡은 '동양주의(Orientalism)'라 할 수 있으며 이러한 푸아레의 동양주의는 당시의 패션에 있어 신체의 선을 부정하여 코르셋을 제거 시키게한 그의 모더니즘의 근거가 된다. 본연구의 제한점으로 1차적 자료를 수집하는데에 있어 보다 폭넓지 못했던 점을 밝혀둔다.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.143-148
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• 2012

QR Code is available in many areas(business cards, coupons, advertising, billing, etc) due to the increase in the smart phones. In particular, the company's image and marketing are also available and using the Internet address, personal and corporate PR and publicity are also available. I was implemented the mobile web platform by the case wine information that easily seen but difficult to understand the information. Using QR Code, consumers can get information easily and quickly. In addition, based on the idea of using mobile web platform, variety of services and benefits will be able to expected.

• Journal of Industrial Convergence
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• v.15 no.2
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• pp.1-6
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• 2017

This paper illustrates key features of an enterprise employment simulation which integrates a system dynamic feedback model with a cost-effectiveness optimisation capability utilising genetic algorithms. Its core is a 3-dimensional array structure tracking staff numbers by rank, by time-in-rank, by years-of-service. The resultant model, which could readily be adapted to non-Defence use, can identify, given user specification of any mix of employment rules, the likely patterns of employment behaviour including: resultant time-in-rank and years-of-service profiles; ability of a Unit to fill all positions to target strength; ability to fill promotional positions within normal rules for substantive promotion; need to fill promotional positions using rules for temporary promotion or transfer from outside; necessary recruitment pattern to sustain target strength.

• International Area Studies Review
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• v.18 no.3
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• pp.131-145
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• 2014

Abundance of low-wage labor resources, strategic location connecting East-West Asia and business professionals are fluent in English are strength of Bangladesh. Also the business environment changes in China such as the wage increases and labor regulations enhancement acts as searching for replacement of investment where Bangladesh is considered as substitute. At this point there is a need for research of Bangladesh employees at human resource management level. Therefore this study focus on the research of an important component of human resource management, organizational commitment. This study analysis the Bangladesh employees organizational commitment and its antecedent. This study consider four antecedents, role ambiguity, role conflict, voluntary participation and the work centrality and three organizational commitment, affective organizational commitment, continuous organizational commitment and normative organizational commitment. As results show, role ambiguity and role conflict has a negative influence on affective organizational commitment. And voluntary participation and work centrality give positive influence. Role ambiguity showed a negative effect on continuous organizational commitment, however role conflict show positive effect. Voluntary participation and work centrality showed positive effect on normative organizational commitment and role ambiguity showed negative influence. Results of this study give clue to understand Bangladesh employees organizational commitment and its relation among variables. And thus the need for appropriate management presented.

• Journal of Climate Change Research
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• v.2 no.2
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• pp.93-106
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• 2011

Republic of Korea officially announced its mid term reduction target which reduce about 30% of BAU GHG emission by 2020 in the 15th meeting of UNFCCC(COP 15) held in Copenhagen, Denmark 2009. To achieve this goal, it is necessary to understand the serious of climate change and take part in GHG reduction not only industry but also the nation. However, such positive participation in green life which may cause inconvenient of the life of the people. It should be accomplished with providing reliable information. This study suggests the scientific potentialities of GHG emission by guideline on low carbon life and green life to form and change a lifestyle suitable for coping with climate change. And also, this study quantitate the GHG reduction which may reduce demand for air conditioning by cool biz and warm biz. In Korea, this campaign has become known as 'CoolMaebsi' by Ministry of Environmental of Korea. 'CoolMaebsi' is a compound word of 'Cool' which means feel refreshed, and 'Maebsi' is a Korean word which means attire. Though this campaign is effective and significant to reduce the GHG emission yet there were no study on quantitative analysis. Therefore this study calculated reduced energy consumption and potential GHG emission by measuring variation of skin temperature. As the result, wearing warm biz and cool biz have an effect of reducing not only the energy consumption but also GHG emission. To achieve the low carbon society, it is necessary to improve the energy saving system and introduce the policy which guide to change a life style.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.1-25
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• 2020

Sentiment Analysis (SA) is a Natural Language Processing (NLP) task that analyzes the sentiments consumers or the public feel about an arbitrary object from written texts. Furthermore, Aspect-Based Sentiment Analysis (ABSA) is a fine-grained analysis of the sentiments towards each aspect of an object. Since having a more practical value in terms of business, ABSA is drawing attention from both academic and industrial organizations. When there is a review that says "The restaurant is expensive but the food is really fantastic", for example, the general SA evaluates the overall sentiment towards the 'restaurant' as 'positive', while ABSA identifies the restaurant's aspect 'price' as 'negative' and 'food' aspect as 'positive'. Thus, ABSA enables a more specific and effective marketing strategy. In order to perform ABSA, it is necessary to identify what are the aspect terms or aspect categories included in the text, and judge the sentiments towards them. Accordingly, there exist four main areas in ABSA; aspect term extraction, aspect category detection, Aspect Term Sentiment Classification (ATSC), and Aspect Category Sentiment Classification (ACSC). It is usually conducted by extracting aspect terms and then performing ATSC to analyze sentiments for the given aspect terms, or by extracting aspect categories and then performing ACSC to analyze sentiments for the given aspect category. Here, an aspect category is expressed in one or more aspect terms, or indirectly inferred by other words. In the preceding example sentence, 'price' and 'food' are both aspect categories, and the aspect category 'food' is expressed by the aspect term 'food' included in the review. If the review sentence includes 'pasta', 'steak', or 'grilled chicken special', these can all be aspect terms for the aspect category 'food'. As such, an aspect category referred to by one or more specific aspect terms is called an explicit aspect. On the other hand, the aspect category like 'price', which does not have any specific aspect terms but can be indirectly guessed with an emotional word 'expensive,' is called an implicit aspect. So far, the 'aspect category' has been used to avoid confusion about 'aspect term'. From now on, we will consider 'aspect category' and 'aspect' as the same concept and use the word 'aspect' more for convenience. And one thing to note is that ATSC analyzes the sentiment towards given aspect terms, so it deals only with explicit aspects, and ACSC treats not only explicit aspects but also implicit aspects. This study seeks to find answers to the following issues ignored in the previous studies when applying the BERT pre-trained language model to ACSC and derives superior ACSC models. First, is it more effective to reflect the output vector of tokens for aspect categories than to use only the final output vector of [CLS] token as a classification vector? Second, is there any performance difference between QA (Question Answering) and NLI (Natural Language Inference) types in the sentence-pair configuration of input data? Third, is there any performance difference according to the order of sentence including aspect category in the QA or NLI type sentence-pair configuration of input data? To achieve these research objectives, we implemented 12 ACSC models and conducted experiments on 4 English benchmark datasets. As a result, ACSC models that provide performance beyond the existing studies without expanding the training dataset were derived. In addition, it was found that it is more effective to reflect the output vector of the aspect category token than to use only the output vector for the [CLS] token as a classification vector. It was also found that QA type input generally provides better performance than NLI, and the order of the sentence with the aspect category in QA type is irrelevant with performance. There may be some differences depending on the characteristics of the dataset, but when using NLI type sentence-pair input, placing the sentence containing the aspect category second seems to provide better performance. The new methodology for designing the ACSC model used in this study could be similarly applied to other studies such as ATSC.