• International Journal of Knowledge Content Development & Technology
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• 제14권1호
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• pp.7-17
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• 2024

A survey was conducted to determine the level of awareness of library professionals working in engineering and technological institution libraries in Karnataka regarding web technology and social media sites in particular. The researcher designed a structured questionnaire using Google Forms and sent it to 204 engineering colleges affiliated with Visvesvaraya Technological University, Belagavi. There is a reasonable amount of awareness and acquaintance with social media sites among working library professionals. Analysis and interpretation are performed with the standard statistical tool (SPSS). The result of this study could provide library professionals with useful insights on how to use social media sites to promote library services.

• 대한토목학회논문집
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• 제37권6호
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• pp.965-972
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• 2017

수자원 분야에서 기후변화 취약성 평가 연구는 미래를 반영하는 기후변화 시나리오를 다양한 방법으로 적용하고 있다. 하지만 대부분의 미래 취약성 평가 연구에서 미래 사회 및 경제 변화는 반영되지 않고 있다. 이에 본 연구에서는 통합적인 미래 시대상을 반영하기 위하여 Intergovernmental Panel on Climate Change (IPCC)에서 개발한 Reprensentative Concentration Pathway (RCP) 기후 변화 시나리오와 함께 공동 사회 경제 경로 시나리오(Shared Socioeconomic reference Pathway, SSP)를 적용하고자 하였다. 취약성 평가는 현재 상황 뿐 아니라 미래 시나리오를 반영하기에 적절한 지표를 선정하고 다기준 의사결정기법인 TOPSIS (Technique for Order Performance by Similarity to Ideal Solution)를 활용하여 각 지표를 통합하는 방법으로 진행하였다. 지표 자료는 국가 통계 및 보고서, 기후변화 시나리오가 반영된 SWAT (Soil and Water Assessment Tool) 모형의 모의 결과, 사회 경제 시나리오를 활용하였으며, 최종적으로 주요 수계인 한강 유역의 단기 미래(2020)와 중기 미래(2050)에 대한 중권역별 물이용 취약성 순위를 도출하였다. 전반적으로 기후변화만 적용한 결과와 사회 경제 변화를 함께 적용한 결과는 유사한 공간분포를 보였으나, SSP 시나리오에 따라 일부 유역에서 차이를 보였다. 미래 시나리오 적용 시 유역의 순위 변동성이 유사하게 나타났으나 일부에서는 SSP 시나리오 적용 유무에 따른 차이를 확인할 수 있었다. 본 연구에서 기후변화 취약성 분석 시 사회 경제 시나리오 활용가능성을 확인하였고, 이에 사회 경제 변화를 고려하는 것이 보다 효과적인 기후변화 대응에 도움이 될 것으로 판단된다.

• 한국수자원학회논문집
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• 제46권10호
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• pp.977-987
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• 2013

본 연구에서는 다기준 의사결정기법을 적용한 홍수취약성 평가에 내재되는 불확실성을 고려한 평가기법을 제시하였다. 홍수취약성평가과정은 3단계로 구성되며 1단계에서는 홍수와 연관되는 사회적, 경제적, 환경적 영향요인들 중에서 지역의 특성을 반영할 수 있는 평가인자를 선정하고 각 인자의 가중치를 책정한다. 이때 델파이 설문조사기법을 적용하여 의사결정자들의 의견을 수렴한다. 2단계는 평가자료를 수집하고 평가에 사용할 수 있도록 가공하는 단계이며 불확실성 문제를 해소하기 위하여 퍼지수를 적용하였다. 마지막단계에서 홍수취약성을 정량적으로 산정하여 취약지역의 우선순위를 도출한다. 본 연구에서는 퍼지수의 연산과정에서 발생하는 퍼지수의 과장 및 왜곡문제를 해소하기 위한 ${\alpha}$-cut fuzzy TOPSIS 방법을 적용하였다. 또한 수립한 평가기법으로 산정한 결과에 대하여 퍼지자료(fuzzy data)를 적용한 fuzzy TOPSIS, 크리스프(crisp) 자료를 사용한 TOPSIS, WSM등의 다양한 방법으로 평가한 결과들과의 상관관계분석을 수행하였다. 분석결과, ${\alpha}$-cut fuzzy TOPSIS 방법은 대체로 모든 방법과 높은 상관성을 나타내었다. 즉, 크리스프 자료와 퍼지자료를 사용하는 평가방법 사이에서 발생하는 결과의 차이가 ${\alpha}$-cut fuzzy TOPSIS를 이용하면 줄어드는 효과가 있다. 따라서본 연구에서 수립한 홍수취약성 평가방법은 불확실성 문제를 일정 부분 해소한 평가결과를 제시함으로서 치수정책 수립의 유용한 근거자료를 제공할 수 있다.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.61-64
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• 2021

The work is devoted to the problem of modernization of the higher education system of Ukraine through the integration of higher education institutions into the European Higher Education Area. Based on the analysis of statistical data, a conclusion was made about the collapse of the higher education system of Ukraine due to a number of problems, which negatively affects the formation of human capital. The importance of international cooperation with the EU in the field of education for the modernization of higher education is substantiated. The institutional principles of formation are investigated, the main priorities of its development at the present stage are determined. The legal bases of European integration of higher education in Ukraine are analyzed. An analysis of the development of international cooperation of Ukrainian universities and their participation in European educational programs. There is a positive tendency to increase the activity of Ukrainian universities in international cooperation, which increases their position in international rankings. Weaknesses of integration processes are revealed and directions of improvement of higher education are offered.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.392-394
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• 2021

본 연구논문은 여행지를 여행하는 관광객들을 위한 자동 맛집 추천 어플리케이션에 관한 논문이다. 국내 어느 여행지든 어플을 실행하면 음식의 종류와 상관없이 한식, 중식, 양식 등 원하는 서비스를 추천하여 관광지에서 맛집 랭킹 들이 쏟아지게 되는 어플이다. 맛집 추천만 하는 것이 아니라 위생상태, 가격, 최근 코로나사태로 인한 방역수칙 준수 등 리뷰와 별점을 통해 관광지에서 손쉽게 맛집을 찾을 수 있도록 관련 정보 DB를 수집해 어플리케이션을 개발하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.731-738
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• 2020

Though their activities, companies have an impact on environmental problems and nature conservation. The accounting sector can play a role in environmental conservation efforts related to environmental costs, and the implemention of the Corporate Sustainability Management System (CSMS) could be a key factor that can improve the company's financial performance. This study aims to determine how green accounting through the application of CSMS can improve the financial performance of manufacturing companies in Indonesia, a developing country. The sampling method used was purposive sampling, while the research sample consisted of 38 companies that had followed PROPER and were indexed on the IDX. Data were analyzed using the Structural Equation Modeling (SEM) method known as the Partial Least Square (PLS) method. The results of this study indicate that manufacturing companies in Indonesia are able to implement green accounting by allocating appropriate environmental costs by earmarking a portion to carry CSMS implementation so as to improve financial performance. People in Indonesia consider that manufacturing companies that have good company rankings in the evaluation program for company performance ratings in environmental management run by the Indonesian Ministry of Environment are in a position to generate customer loyalty, especially in financial performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권12호
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• pp.5888-5903
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• 2019

The Relational ranking method applies authority-based ranking in relational dataset that can be modeled as graphs considering also their tuples' values. Authority directions from tuples that contain the given keywords and transfer to their corresponding neighboring nodes in accordance with their values and semantic connections. From our previous work, ObjectRank extends to ValueRank that also takes into account the value of tuples in authority transfer flows. In a maked difference from ObjectRank, which only considers authority flows through relationships, it is only valid in the bibliographic databases e.g. DBLP dataset, ValueRank facilitates the estimation of importance for any databases, e.g. trading databases, etc. A relational keyword search paradigm Object Summary (denote as OS) is proposed recently, given a set of keywords, a group of Object Summaries as its query result. An OS is a multilevel-tree data structure, in which node (namely the tuple with keywords) is OS's root node, and the surrounding nodes are the summary of all data on the graph. But, some of these trees have a very large in total number of tuples, size-l OSs are the OS snippets, have also been investigated using ValueRank.We evaluated the real bibliographical dataset and Microsoft business databases to verify of our proposed approach.

• Asian Journal of Innovation and Policy
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• 제1권1호
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• pp.92-115
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• 2012

The problem Japanese universities face is exactly the same as that of German universities: no international recognition in world rankings of universities despite their high levels of postwar economic and technological developments. This was indeed one reason why world-class Japanese firms, such as Toyota and Sony, have avoided working closely with Japanese universities for R&D partnership and new technology commercialization. To resolve this problem, the Japanese government has continuously implemented aggressive policies of the internationalization, privatization, liberalization, and privatization of universities since the onset of the economic recession in 1989 in order to revitalize the Japanese economy through radical innovation projects between universities and firms. National projects of developing medical robots for Japan's ageing society are some of the ambitious examples that emphasize feed-forward learning in innovation. However, this paper argues that none of these programs of fostering university-firm alliances toward feed-forward learning has been successful in promoting the world ranking of Japanese universities, although they showed potentials of reinforcing their conventional strength of introducing $kaizen$ through feedback learning of tacit knowledge. It is therefore argued in this paper that Japanese universities and firms should focus on feedback learning as a way to motivate firm-university R&D alliances.

• 영어어문교육
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• 제18권3호
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• pp.25-51
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• 2012

The study explores the way professors working in a private university in Korea perceive the recent English-medium instruction (EMI) frenzy in Korean higher education (HE) and the way they respond to its manifestation at their institution. Working within a qualitative research paradigm (Merriam, 2009), I gathered data primarily via one-time semi-structured interviews with ten participants who have offered or are offering EMI at the time of data collection and used a qualitative data analysis method. The findings illustrate that the professors view external factors residing outside individual universities, such as the college rankings and the university evaluation parameters, as the principal drive behind the current EMI boom in Korean tertiary education. Acknowledging the importance of strengthening the international competitive edge of Korean HE in the global era, the professors perceive the EMI policy positively expecting it to be beneficial for both students and institutions. They, however, problematize the blind acceptance of EMI policy and externally forced EMI expansion movement in Korean HE, which they believe will lower the standard of the academic experience of students. Experiencing first-hand the inadequate manifestation of the EMI policy at their university, the professors claim that a systematic long-term implementation plan and context-suitable approaches should be taken at both the national and institutional level for successful future EMI implementation and expansion efforts.

• 농업과학연구
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• 제50권4호
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• pp.927-940
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• 2023

Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.