• Title/Summary/Keyword: Acquiring Research Resources

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A Theoretical Research for the Conceptualization of Social Inclusion about the Disabled -From Social Exclusion to Inclusion- (장애인의 사회적 포함(Social Inclusion)의 개념화에 대한 이론적 고찰 -사회적 배제에서 포함으로-)

  • Shin, Yuri;Kim, Kyungmee;Yoo, Dongchul;Kim, Dongki
    • Korean Journal of Social Welfare
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    • v.65 no.3
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    • pp.5-28
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    • 2013
  • As the interests in social inclusion is increasing, researches on social inclusion in the welfare of the disability positively are being implemented lately. It is required to be the reconsideration on previous perspectives and suggestion of the necessity of a new concept for acquiring equal accessibility on rights and resources, etc as a citizenship. It is evaluated to be useful as the perspective or approach of social inclusion in suggestion of policies and practices tasks for enhancing quality of life of the disadvantaged including the disabled and for their participating fully in overall social scopes. Therefore, firstly on tried to make understanding in each concept, constituents, characteristic, usefulness and restriction, etc about both of social exclusion and inclusion fundamentally. On discusses how to conceptualize social inclusion of the disabled, and meanings in applying the concept or approach of social inclusion to welfare of the disability through the based mentioned results.

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Korea's Strategy for Participating in Arctic Biodiversity International Cooperation Projects (한국의 북극 생물다양성 국제협력사업 참여 전략)

  • Sung-Ryong Kang;Jihyun Yoon;Inyoung Jang
    • Korean Journal of Ecology and Environment
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    • v.55 no.4
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    • pp.390-397
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    • 2022
  • Conservation of Arctic Flora and Fauna (CAFF) is the biodiversity working group of the Arctic Council. CAFF conducts Monitoring, Assessment, Policy, and expert group activities to preserve Arctic biodiversity and ensure the sustainability of biological resources and communicates the results to governments and indigenous peoples. The main tasks of CAFF consist of monitoring (Circumpolar Biodiversity Monitoring Program), assessment (Arctic Biodiversity Assessment) and strategic projects(Arctic Migratory Bird Initiative, AMBI). Korea has been directly participating in the AMBI since 2015 after acquiring observer status of the Arctic Council in 2013. The AMBI aims to preserve habitats on migration routes used by breeding birds in the Arctic and prevent illegal hunting. Thus, observer countries on migratory routes are directly participating in the project. When selecting priorities for participation in Arctic cooperation projects by 2030, Korea should consider continuing participation in AMBI and participating in the "CAFF Youth Program" in connection with the Arctic Academy program operated by Korea's public institutes.

Problems in and Solutions for Developing Digital Information Resource: the Case of Korean National University Libraries (대학도서관 전자자료 업무의 현안과 해법: 국립대학도서관을 사례로 하여)

  • Lee, Jae-Whoan
    • Journal of Korean Library and Information Science Society
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    • v.44 no.4
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    • pp.145-175
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    • 2013
  • The purpose of this research lies in exploring both problems in and solutions for developing digital information resource such as e-journal and Web databases, with the case of Korean national university libraries. In details, identified at the first hand is current situations and major changes of digital information resource that Korean university libraries have developed for the recent 10 years(2003~2012). Also investigated is the salient features in the process of selecting and acquiring digital information resource, with emphasis on the work behavioral aspects. In addition this study analyzes the negative impacts which the present digital-centered resource development policy might have on the image of university libraries and the status of academic librarianship in Korea. The final suggestions include both strategies at the national level and practical methods at the library level which might be helpful to escape from the dilemma related to developing digital information resource.

Role of the Third Place in Building Communities and Social Capital : Contributions of Coffee Shops as Third Places in Kuwait

  • Hissah Abdullah Kandari;Abdus Sattar Chaudry
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.1
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    • pp.59-74
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    • 2023
  • Third places are those that offer a space outside of work and home for people to escape the stress associated with the primary spaces of their lives. Through social interactivity these help in acquiring some emotional support provided by a close and intimate attachment. Such social support can turn into social resources for individuals and can lead to forming communities that may become incubators for social capital through regular visits to shared socializing places. This paper focuses on social interaction that takes place through the third place and the communities that are being created as a contributing factor to knowledge management. The study being reported in this paper investigated the role of coffee shops as third places in building communities and social capital in Kuwait. A mixed-method approach was used to conduct the study. These methods included qualitative methods such as extended conversations in the form of semi-structured interviews and quantitative methods of using questionnaires distributed to coffee shop staff and visitors. Results indicated that importance attached to providing facilities by coffee shops reflected that the owners perceived these as third places. The facilities attracted customers to coffee houses where interactions took place that helped to build communities. The pattern of visits by customers showed that mostly they come in groups and have meetings and gatherings that facilitated and encouraged interactions. The communities that are being built in the coffee shops are indicative of these being perceived as third places by owners, customers, and staff. This study shows the potential of coffee shops as a major sector of the food industry promising a valuable contribution in transformation and transition to a knowl- edge-based economy in Kuwait.

The Influence of Information Security Policy, Technology, and Communication Uncertainties: The Role of Information Security Role Identity (정보보안 정책, 기술, 그리고 커뮤니케이션 불확실성의 영향: 정보보안 역할 정체성의 역할)

  • In-Ho Hwang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.241-248
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    • 2024
  • Socially, organizations are required to effectively manage their information resources, both in terms of acquiring information from external sources and safeguarding against potential breaches by insiders. While information security policies and technologies implemented by organizations contribute to achieving internal security, an overly complex or disorganized security structure can create uncertainty among employees. In this study, we identify factors of structural information security (IS)-related uncertainty within organizations and propose that they contribute to non-compliance. We develop a research model and hypotheses based on previous studies on the information security environment and test these hypotheses using structural equation modeling. Our findings indicate that uncertainties related to IS policy, technology, and communication decrease employees' IS role identity and their intention to comply with IS measures. By addressing these uncertainties, organizations can improve their IS environment and work towards achieving there is goals.

A Study on Information Users' Needs and Information Seeking Behavior of Doctoral Researchers in Digital Age (디지털 환경에서 학술연구자들의 정보요구 및 이용행태에 관한 연구 - 인문사회분야와 과학기술분야의 비교를 중심으로 -)

  • Kim, Jeong-Hwan;Kim, Jay-Hoon;Hwang, Jae-Young
    • Journal of Korean Library and Information Science Society
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    • v.42 no.3
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    • pp.189-208
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    • 2011
  • In the digital environment where the Internet and IT change rapidly, researchers have utilized scientific information by relying on more complex and various media than before. This study performed a group interview with thirteen questions derived from five categories in order to understand information needs and information seeking behaviors of Korean doctoral researchers in this information environment. The five categories are (1) identifying information resource usage pattern, (2) attitude towards information resources and reasons for use, (3) IT skills and information literacy, (4) physical library use vs electronic access, and (5) attitudes toward the digital library. In particular, this study focused on analyzing similarities and differences of two groups of researchers selected equally in the humanities and social sciences and in science and technology by doing the interview. The research showed that there are no differences in the goal of using scientific information, information literacy, the ratio of using written materials to electronic resources, and routes of acquiring research ideas or knowledge, but there are differences in materials used for studies or researches and in favorite scientific portal sites.

A Study on the Integrated Utilization of Nationally-Supported Research Vessels Using Cost-Benefit Analysis (비용-편익 분석을 통한 국가 해양 연구·조사선의 최적 통합활용 방안 연구)

  • Park, Cheong Kee;Park, Se Hun;Park, Seong Wook;Lee, Gun Chang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.6
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    • pp.719-730
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    • 2017
  • Recently, oceanic research has been carried out investigating global scientific interests and the territorial management of national marine jurisdictional waters, including exclusive economic zones (EEZ) and the open seas. To meet the needs of ocean researchers pursuing these - objectives, acquiring advanced research infrastructure, including research vessels, large facilities, and equipment, is a top priority in ocean science. However, ocean science is a similar to space science, and securing resources and state-of-the-art technology can be expensive. Faced with these challenges, our study focused on establishing a strategy for the efficient operation and management of research vessels, attempting to establish benchmarks from foreign examples that can be adapted to suit the target context. The results of this study provide ways to identify operating systems that could increase the efficiency of joint-use research vessels. The different systems examined in this study included a joint-use committee-based management system (JCMS, Type 1), private enterprise entrusted operating system (PEOS, Type 2), institutional investment operating system (IIOS, Type 3), and commissioned executive operating system (CEOS, Type 4). The efficiencies of JCMS, PEOS, IIOS and CEOS were 9.17, 5.82, 11.2 and -1.72 %, respectively. Given the total costs involved, the most affordable operating system was IIOS. JCMS was the most cost-effective system based on a quantitative cost-benefit analysis, but IIOS also had an acceptable cost-benefit balance. An operational committee would be required and regulations and guidelines shoulde be established to employ, JCMS, while a strategy to yield independent revenue would be needed to utilize an IIOS system.

Generation of Time-Series Data for Multisource Satellite Imagery through Automated Satellite Image Collection (자동 위성영상 수집을 통한 다종 위성영상의 시계열 데이터 생성)

  • Yunji Nam;Sungwoo Jung;Taejung Kim;Sooahm Rhee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_4
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    • pp.1085-1095
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    • 2023
  • Time-series data generated from satellite data are crucial resources for change detection and monitoring across various fields. Existing research in time-series data generation primarily relies on single-image analysis to maintain data uniformity, with ongoing efforts to enhance spatial and temporal resolutions by utilizing diverse image sources. Despite the emphasized significance of time-series data, there is a notable absence of automated data collection and preprocessing for research purposes. In this paper, to address this limitation, we propose a system that automates the collection of satellite information in user-specified areas to generate time-series data. This research aims to collect data from various satellite sources in a specific region and convert them into time-series data, developing an automatic satellite image collection system for this purpose. By utilizing this system, users can collect and extract data for their specific regions of interest, making the data immediately usable. Experimental results have shown the feasibility of automatically acquiring freely available Landsat and Sentinel images from the web and incorporating manually inputted high-resolution satellite images. Comparisons between automatically collected and edited images based on high-resolution satellite data demonstrated minimal discrepancies, with no significant errors in the generated output.

Opportunity Capturing Strategy of Venture Company in the Context of Dominant Design Competition: focused on compare with hardware and software industry (지배적 디자인 경쟁 환경에서 벤처기업의 업종별 기회포착 전략에 관한 연구: 하드웨어와 소프트웨어 산업 비교를 중심으로)

  • Moon, Ji-Yong;Ko, Young-Hee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.2
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    • pp.27-42
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    • 2015
  • The aim of this research is to investigate the difference in the capturing opportunities for each type of venture companies in the industry undergoing competition of a dominant design and then figure out the reason why they can be successful. Existing studies on venture companies are focused on the way to enhance a firm's competencies by acquiring and combining its resources. However, it is important for startups which have a lack of resources and capabilities to capture the opportunity to survive by understanding a changing environment. This study is focused on opportunity capture and strategic response to a changing environment and attempts to select and observe startup companies which are able to capture the opportunity and enter the market in the industry undergoing dominant design competition. In order to find out its difference in different types of business, we select one case from hardware startups and the other from software startups. According to the result of this study, the hardware startup focuses on market extension by lowering their prices and the software startup strives to induce more users to participate by the universalization of enabling technology so as to extend and standardize their technology in the environment undergoing dominant design competition. This feature of environment leads the difference in the approach for successfully capturing opportunity and thus hardware firms need to recognize the opportunity with profit potential from relationship with a number of cooperative firms while software firms need to identify the opportunity for extension of enabling technology which can be used by many users.

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Comparative analysis of wavelet transform and machine learning approaches for noise reduction in water level data (웨이블릿 변환과 기계 학습 접근법을 이용한 수위 데이터의 노이즈 제거 비교 분석)

  • Hwang, Yukwan;Lim, Kyoung Jae;Kim, Jonggun;Shin, Minhwan;Park, Youn Shik;Shin, Yongchul;Ji, Bongjun
    • Journal of Korea Water Resources Association
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    • v.57 no.3
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    • pp.209-223
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    • 2024
  • In the context of the fourth industrial revolution, data-driven decision-making has increasingly become pivotal. However, the integrity of data analysis is compromised if data quality is not adequately ensured, potentially leading to biased interpretations. This is particularly critical for water level data, essential for water resource management, which often encounters quality issues such as missing values, spikes, and noise. This study addresses the challenge of noise-induced data quality deterioration, which complicates trend analysis and may produce anomalous outliers. To mitigate this issue, we propose a noise removal strategy employing Wavelet Transform, a technique renowned for its efficacy in signal processing and noise elimination. The advantage of Wavelet Transform lies in its operational efficiency - it reduces both time and costs as it obviates the need for acquiring the true values of collected data. This study conducted a comparative performance evaluation between our Wavelet Transform-based approach and the Denoising Autoencoder, a prominent machine learning method for noise reduction.. The findings demonstrate that the Coiflets wavelet function outperforms the Denoising Autoencoder across various metrics, including Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Squared Error (MSE). The superiority of the Coiflets function suggests that selecting an appropriate wavelet function tailored to the specific application environment can effectively address data quality issues caused by noise. This study underscores the potential of Wavelet Transform as a robust tool for enhancing the quality of water level data, thereby contributing to the reliability of water resource management decisions.