• Korean Business Review
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• v.12
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• pp.275-301
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• 1999

The year of 1998 was a very hard time for the most of Koreans. The rate of unemployment, which had averaged between 2 and 2.5 percent for many years, has continued to rise as the industrial production declined from the first quarter of 1998. The seasonally unadjusted unemployment rate recorded high of 8.4 percent in the first quarter of 1999, and the number of the unemployed as 1.75 million. On the other hand, the unemployment rate in Kangwondo used to be smaller than the nation-wide rate. However, this should not be taken as evidence that Kangwondo's economy used to perform better than others, because the participation rate also used to be smaller in Kangwondo than other regions. Anyhow, the unemployment problem is one of urgent issues in Korean society. The purpose of this paper is to overall review Kangwondo's unemployment counterplan and to make priorities about what we have to do against the long-run unemployment. In addition to implementing unemployment countermeasure of the central government, Kangwondo has to devise in itself unemployment counterplan reflecting local attributes.

• Asian Journal of Turfgrass Science
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• v.23 no.2
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• pp.361-368
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• 2009

Cenangium ferruginosum was known as the causal agent of dieback of pines including Pinus koraiensis and Pinus densiflora. Since the first report of the disease in Korea in 1989, a group dying occurred in Seoul, Gyeonggi, Kangwon and Chungbuk in 2007 spring. Although C. ferreginosum was known as a weak pathogen or a parasite, this disease caused in stressed pine by drought, wounding, extremely cold weather or unusual warm winter. In this study, we explained the features of cenangium dieback with the characteristics of pathogen to understand the trend of disease associated with the climatic change of the world. We collected pycnidia and apothecia from the diseased branches and stems of P. koraiensis and P. densiflora in Gyeonggi, Chungcheong and Gyeongsang province to characterization of pathogen. The fungal development on the diseased branches were observed and the isolates from pycnidia and apothecia were identified as Cenangium ferruginosum by their morphological characteristics and the molecular techniques.

• Prospectives of Industrial Chemistry
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• v.22 no.5
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• pp.25-40
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• 2019

전 세계적으로 환경문제를 해결하기 위한 방안으로 환경규제를 강화시키며 특히 다양한 대기오염 물질 중 최근 큰 이슈인 초미세먼지 저감을 위해 전구물질로 알려진 질소산화물을 제어하기 위한 다양한 기술개발이 가속화되고 있다. 특히, 다양한 처리기술 중에 기술적·경제적인 이점을 갖춘 선택적 촉매환원법(selective catalytic reduction, SCR) 기술을 통하여 질소산화물 제거를 위해 암모니아를 환원제로 반응에 참여시켜 인체에 무해한 H₂O, N₂로 전환하는 기술이 대표적이다. 최근 전 세계적으로 다양한 산업군에서 질소산화물이 배출되고 있으며, 점오염원뿐만이 아니라 비점오염원(mobile sources)에 대한 규제가 강화되고 있다. 디젤엔진이 장착된 선박 배가스 처리장치 내 SCR 기술이 주목을 받고 있으며, NH₃-SCR에 사용되는 촉매는 주로 VO_x/TiO₂, VO_x/W/TiO₂ 촉매가 대표적이다. 한편 선박 디젤엔진에 사용되는 연료에 따라 연소배가스 특성이 다르다. 이러한 연료가 연소됨에 따라 SO₂, SO₃가 발생되고 환원제인 NH₃와 결합하여 황산암모늄염((NH₄)₂SO₄), ABS (ammonium bisulfate, NH₄HSO₄)과 같은 염을 형성시켜 탈질촉매의 비활성화 문제가 발생된다. 이러한 비활성화 물질이 침적된 탈질촉매를 재활성화 시키기 위하여 열 산화를 통해 재생시키고 있다. 이처럼 선박용 SCR 촉매는 강화되는 배출규제 및 엔진기술의 발달로 저감되는 운전 온도에 대비하여 저온 활성 재생이 가능한 고활성, 고내구성 촉매기술 개발이 필요하다.

• Prospectives of Industrial Chemistry
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• v.22 no.5
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• pp.1-13
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• 2019

국제해사기구(IMO, international maritime organization)는 2015년부터 배출규제해역(ECA, emission control area)을 운항하는 선박은 황 함유량이 0.1%(m/m) 이하로 강화된 기준을 만족하는 연료를 사용해야 하며, 2020년부터는 모든 선박에 대해 황 함유량이 0.5%(m/m) 이하인 연료를 사용하거나 동등 이상의 성능을 갖는 배출가스 후처리 장치의 설치를 의무화하였다. 이에 따라, 선박에서 배출되는 오염물질을 제어할 수 있는 다양한 기술이 개발되고 있으며, 후처리 관점에서 습식 스크러버(wet scrubber)는 선박의 디젤 엔진에서 배출되는 이산화황(sulfur dioxide)을 저감시키기 위한 가장 적합한 해결책으로 알려져 있다. 습식 스크러버는 해수를 사용하는 개방형 스크러버(open loop scrubber)와 화학세정수를 사용하는 폐쇄형 스크러버(closed loop scrubber)로 구분된다. 습식 스크러버는 오염물질의 효율적인 처리가 가능하지만 유지보수비가 비싸고, 폐수 발생으로 인한 2차 오염발생 및 부식에 매우 취약한 단점이 있다. 따라서 최근에는 스크러버 내부의 부식을 방지하기 위한 내부식성 재질에 관한 연구와 흡수제(absorbent)의 고도화 연구가 활발히 진행되고 있다. 또한, 하이브리드형 스크러버(hybrid scrubber)는 개방형과 폐쇄형 스크러버의 장점을 결합한 기술로 황산화물의 배출을 규제하는 배출규제해역에서는 폐쇄형 스크러버를 가동하고, 선박이 공해상으로 진입할 경우 개방형 스크러버로 전환함에 따라 황산화물 배출 및 반응 후 세척수의 폐수배출 기준을 동시에 만족할 수 있다.

• Journal of The Korean Association For Science Education
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• v.34 no.6
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• pp.535-547
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• 2014

This study analyzed the characteristics of National Science Curricula in the UK, Australia, New Zealand, Canada, Singapore, and Korea with respect to core competencies. In the case of overseas countries, literature review on their curricula was conducted, and four common features were extracted: 'association of cross-curricular competencies with science-specific competencies', 'a combination of science contents and scientific practices', 'an emphasis on communication skills', and 'representation of an achievement level of competency'. In addition, the common core competencies of science education were 'critical thinking', 'creative thinking', 'problem solving', 'inquiry skills', 'communication skills', 'cultural literacy', 'ability to integrate discipline', 'application skills', and 'personal/social competency'. In relation to these features, this study also investigated Korean science teachers' perceptions of core competencies in science education. A survey was conducted on 135 teachers in elementary, middle, and high school in Korea. Teachers were not well aware of what core competencies are, and after introduction, they thought that they wanted to and needed to teach core competencies to their students. Teachers claimed that critical core competencies in science education are 'creative thinking', 'problem solving', and 'inquiry skills'. Teachers thought that core competencies-based science class would help develop students' scientific literacy and communication skills. However, they have difficulties in conducting core competencies-based science class because they are not familiar with how to conduct the class and they expect that it will take a long time to prepare such a class.

• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.141-164
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• 2018

Recently, as the amount of academic literature has increased rapidly and complex researches have been actively conducted, researchers have difficulty in analyzing trends in previous research. In order to solve this problem, it is necessary to classify information in units of academic papers. However, in Korea, there is no academic database in which such information is provided. In this paper, we propose an automatic classification system that can classify domestic academic literature into multiple classes. To this end, first, academic documents in the technical science field described in Korean were collected and mapped according to class 600 of the DDC by using K-Means clustering technique to construct a learning set capable of multiple classification. As a result of the construction of the training set, 63,915 documents in the Korean technical science field were established except for the values in which metadata does not exist. Using this training set, we implemented and learned the automatic classification engine of academic documents based on deep learning. Experimental results obtained by hand-built experimental set-up showed 78.32% accuracy and 72.45% F1 performance for multiple classification.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.241-264
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• 2022

Bibliographic metadata can help researchers effectively utilize essential publications that they need and grasp academic trends of their own fields. With the manual creation of the metadata costly and time-consuming. it is nontrivial to effectively automatize the metadata construction using rule-based methods due to the immoderate variety of the article forms and styles according to publishers and academic societies. Therefore, this study proposes a two-step extraction process based on rules and deep neural networks for generating bibliographic metadata of scientific articlles to overcome the difficulties above. The extraction target areas in articles were identified by using a deep neural network-based model, and then the details in the areas were analyzed and sub-divided into relevant metadata elements. IThe proposed model also includes a model for generating reference summary information, which is able to separate the end of the text and the starting point of a reference, and to extract individual references by essential rule set, and to identify all the bibliographic items in each reference by a deep neural network. In addition, in order to confirm the possibility of a model that generates the bibliographic information of academic papers without pre- and post-processing, we conducted an in-depth comparative experiment with various settings and configurations. As a result of the experiment, the method proposed in this paper showed higher performance.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.175-187
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• 2009

This paper shows trends in domestic and foreign web accessibility. To disclose the web accessibility observance rate, seven central adminstration institutions and another seven north-eastern cities in Gyeong gi-Do and seven major IT companies were evaluated. KADO-WAH 2.0 was used for showing the observance rate. The evaluation criteria was that of Internet Web contents accessibility Guidelines 1.0. The evaluation was limited to Guideline 1 and Guideline 2 of non-text contents and the restricted frame usage and the keyboard-only operation. The average points for three items are as follows: 65.56% for North-Eastern cities in Gyeong gi-Do and 43.71% for Central adminstration institutions and the average 29.33% for major IT companies. The observance rate was highest by 99.3% in Human-rights committee among the central administration institutions. With the observance rate of 98%, Namyang-ju city came first in Gyeong gi-Do area. Samsung electronics was the highest with 63.66% in observance rate. The Central adminstration got lowered from the average 82.14% in 2006 to the average 54.28% in 2009, with the result of 27.86% down. Accordingly, the urgent improvement for Central adminstration and Local adminstration in web accessibility is asked for. The same is true with major IT companies in web accessibility.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.327-332
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• 2022

In the age of population cliff, an aggressive entrance exam strategy for the development of excellent human resources for beauty is very important for the survival of beauty departments and universities. Therefore, for the purpose of in-depth trend analysis of department names and affiliated departments that reflect department characteristics as well as external department promotion tools, we investigated and analyzed department affiliated departments and department titles in 2020 targeting the Beauty Department of Central University. As a result of the study, the departments belonging to each of the four regions had the most beauty arts department (28.57%) and health department (50.00%). In Daejeon, beauty design (37.5%) was the most, and in Chungcheong, beauty care, beauty cosmetics, and medical beauty care (11.11%) were the most. Through this study, it will be possible to analyze the overall characterization trend of the Department of Beauty, and it will be used as an important basic data to suggest the future direction of the department when the departments are merged or separated in the future. In addition, I believe that it will provide a foothold for follow-up research on the curriculum for each department or the change of department name by year.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.1-18
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• 2024

Recent discussions regarding smart tourism have gained significant momentum in tourism policy and industry; however, knowledge production in this research area remains fragmented and sporadic. This study aims to analyze trends in smart tourism research published in domestic KCI journals up to the end of July 2024 through a systematic literature review, proposing future research tasks to foster academic development. The analysis addresses both the quantitative and qualitative dimensions of smart tourism research, particularly focusing on tourism journals where the terms and concepts are prominent in policy and industry contexts, while also diagnosing the related research paradigms. The findings indicate that the term "smart tourism" began to prominently appear in research titles, topics, keywords, and abstracts as early as 2014. Among the 126 studies analyzed, research related to tourism constituted the largest share, accounting for 30.2%. However, due to the interdisciplinary nature of smart tourism, research has also emerged from various academic fields, including business studies, design, information communication, and computer science. Research on smart tourism has appeared in tourism journals since 2015, predominantly adopting a positivist research paradigm with an emphasis on quantitative methodologies that often utilize surveys. Additionally, the study reveals a pre-paradigm stage within smart tourism research, characterized by insufficient comprehensive conceptual and theoretical development. This stage has also restricted discussions on various ontological, epistemological, methodological, and interpretive issues. The theories mainly employed draw from established behavioral models, such as the Technology Acceptance Model, the Extended Technology Acceptance Model, and the Technology Readiness Model. Based on these findings, the study suggests future research directions for tourism scholars to determine whether smart tourism will solidify as a sustainable research topic or merely be regarded as a transient trend within tourism studies over the next decade.