• Journal of Information Management
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• v.42 no.4
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• pp.95-113
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• 2011

The new millennium with mystifying convergence of IT has opened new challenges to LIS profession. This has resulted to continuous skill development and lifelong learning, for capacity building in consonant with contemporary changes. The LIS profession in India has created several mechanisms to organize and conduct several skills development programmes through which professionals are continuously enabled to update their professional knowledge and skills, in practice and teaching. There is a good organizational infrastructure and identified areas related to the recent developmental trends and as such LIS professionals and educators have facilities for updating their knowledge at veritable levels and intervals. The paper has surveyed programmes conducted by different organizations at different levels and highlights the aspects of the organizational infrastructure and the emergent areas of applications in LIS teaching, research and professional practices in India. The selection of areas and subjects for various skill development programmes suggest the competencies acquired by the LIS professionals from India, and the empowerment of their professional knowledge can be of immense value to its neighbouring countries. The paper highlights the knowledge and competencies of the LIS professionals in India and the broad-based facilities available here which can be a model for those countries which are seeking to utilize the LIS human resources from this part of the sub-continent. The paper in this circumstance surveyed on the institutional infrastructure for skill developmental opportunities available in India which would meet such requirements within and to the countries outside in the South Asian region seeking its collaboration in such manpower development work.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.333-337
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• 2021

Companion animals are physically, mentally, and socially beneficial to humans, giving us great comfort in living in the Corona19 (COVID-19) era. It is also an era of the Fourth Industrial Revolution, featuring the convergence of information and communication technology. Korea, which is facing a super-aged society, has the highest suicide rate among OECD countries, and companion animals that are effective in emotional stability can be the answer. This study is about companion animals that are effective in stabilizing the emotions of the elderly, one of the major problems in the Republic of Korea, which is about to solve in a super-aged society with more than 20 percent of the elderly aged 65 or older, needs to solve. The impact of knowledge of raising companion animals on the satisfaction level of the elderly was investigated through the management and awareness of infectious diseases. Although the level of care of companion animals had a very significant (p<0.001) effect on the satisfaction of the companion animals, the recognition of infectious diseases has no statistical significance (p>0.05). Raising companion animals with knowledge of rearing increases the satisfaction level and can lead to a happier life. While personal learning is important, it is also believed that supporting education will be necessary as a policy consideration.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.77-98
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• 1996

This study is a critical assessment of research productivity through publication among scientists and engineers. This study scrutinizes previous findings on the correlates and determinant3 of publication productivity: Provides overview and organization of that knowledge ; indicates gape and shortcomings n the research; and identifies the questions and issues which are both answered and unanswered. through the analysis of the 223 mail questionnaires collected from professors of mechanical engineering, electrical engineering, chemistry and physics, this study obtains the particular determinants of publication productivity at the science and engineering schools in Korea. Especially, early research productivity and the number of doctoral students are very important to publish good research articles. Also the qualities of professors' Ph. D. institution and employing university are critical influencing factors to publication productivity. The data are analyzed using correlation, ANOVA, and multiple regression analysis and all the regression models are statistically significant. All the variables in this study are focused on the socialization of individual research scientists and any psychological or personal background variables are excluded, because the perspective of this article is not that of scientific sociologist but of science and technology Policy interest. This study proves that there exists an scriptive advantage according to the individual background such as his Ph. D. institution and employing university in Korea. This study also shows that all research resources and research performances are unequally distributed. This result proposes that supporting basic research at university must begins with relative assessment of researchers, departments, and institutions in consideration with their research environment and to evaluate researchers in compared with excellent research university like SNU, KAIST, POSTECH is unequal and inadequate.

• Asian Journal of Innovation and Policy
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• v.1 no.2
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• pp.168-199
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• 2012

Studies on innovation point towards the need for both in-house research and development (R&D) capabilities along with collaborations with external organisations or linkages with other firms, universities and research institutes. The argument is that innovation is not just a firm specific factor but requires support from several other factors which in turn involves developing linkages with various actors/institutions as sources of resources and/or knowledge for innovation. This paper presents findings from an exploratory study about the Malaysian biofuel sector as an innovation system. Instead of using the neo-classical approach and proposing policy interventions based on traditional market failure rationale (Bergek et al., 2008a), the functional analysis of the technological innovation systems (TIS) approach is used to analyse the biofuel sector in Malaysia to help reveal the strengths and weaknesses in terms of its fulfillment of seven critical functions which are necessary for the generation and commercialization of a product. In addition an attempt is made to reveal the inducement and blocking mechanisms affecting the Malaysian biofuel TIS and the seeking of improved poor functionality. These functional aspects of the Malaysian biofuel sector are analysed in different phases of its development to gain an understanding of the different institutions and their functions at different phases of the development of the innovation system.

• The Korean Journal of Ecology
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• v.23 no.2
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• pp.101-106
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• 2000

The grand challenge for the 21$^{st$ century is to harness knowledge of the earth`s biological and ecological diversity to understand how they shape global environmental systems. This insight benefits both science and society. Biological and ecological data are among the most diverse and complex in the scientific realm. spanning vast temporal and spatial scales, distant localities. and multiple disciplines. Environmental informatics is an emerging discipline applying information science, ecology, and biodiversity to the understanding and solution of environmental problems. In this paper we give an overview of the experiences of the San Diego Supercomputer Center (SDSC) with this new multidisciplinary science, discuss the application of computing resources to the study of environmental systems, and outline strategic partnership activities in environmental iformatics that are underway, We hope to foster interactions between ecology, biodiversity, and conservation researchers in East Asia-Pacific Rim and those at SDSC and the Partnership for Biodiversity Informatics.

• Korean Journal of Veterinary Service
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• v.35 no.1
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• pp.63-67
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• 2012

An 8-months-old young Maltese bitch was presented for investigation of anorexia and occasional vomiting. The body weight was 2 kg. Abdominal sonography demonstrated abnormal enlargement of uterus. The dog had been clinically and pathologically examined. Also, ovariohystectomy was performed. Staphylococcus aureus was identified in the pus-like materials of the uterine lumen. This case was confirmed as pyometra induced by Staphylococcus aureus. Gross examination of the dissected uterus revealed enlarged uterine horn, which had yellowish or brownish pus-like materials in the lumen. Also, there was several segments formation between the enlarged areas of left and right uterine horns. Histopathologically, endometritis and necrosis were present in uterine wall. The bitch made a complete recovery following an ovariohystectomy. This case was spontaneous pyometra induced by Staphylococcus species. On our knowledge, this is a very rare report of pyometra occurrence in young dog and Staphylococcus species-induced pyometra. This study may provide a valuable data on the study of canine pyometra.

• Smart Structures and Systems
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• v.5 no.2
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• pp.119-137
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• 2009

Smart sensors densely distributed over structures can use their computational and wireless communication capabilities to provide rich information for structural health monitoring (SHM). Though smart sensor technology has seen substantial advances during recent years, implementation of smart sensors on full-scale structures has been limited. Hardware resources available on smart sensors restrict data acquisition capabilities; intrinsic to these wireless systems are packet loss, data synchronization errors, and relatively slow communication speeds. This paper addresses these issues under the hardware limitation by developing corresponding middleware services. The reliable communication service requires only a few acknowledgement packets to compensate for packet loss. The synchronized sensing service employs a resampling approach leaving the need for strict control of sensing timing. The data aggregation service makes use of application specific knowledge and distributed computing to suppress data transfer requirements. These middleware services are implemented on the Imote2 smart sensor platform, and their efficacy demonstrated experimentally.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.261-271
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• 2020

Purpose - This study was to establish a unified tourism management class for university students based on Gangwon-do. Community based learning(CBL) was applied to provide a tangible and intangible resource of tourism resources the theoretical approaches and the actual experiences of the community. Design/methodology/approach - In order to design a unified tourism management module, this study applied qualitative research and quantitative research methods to collect information on the direction of the module. the study conducted in-depth interviews and then an online survey. Findings - According to the results of the study, the main parts should include necessity of unification, inter-Korean tourism, inter-Korean cooperation, inter-Korean economy, and international relations. Research implications or Originality - The overall composition of the unification tourism management class should be designed as the unification tourism management theory to acquire the subject knowledge, the field trip to the border area for experiential learning, and the assignment of the field study task to understand the community.

• The Journal of Economics, Marketing and Management
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• v.5 no.1
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• pp.21-26
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• 2017

Purpose - This study extracts performance-reward factors based on the previous studies related to Herzberg's two-factor theory and performance-reward and proposes a research method to identify how these factors have an influence on task performance directly related to production performance and contextual performance that has an indirect influence. Research Design, Data, and Methodology - This study draws performance-reward factors through Focus Group Interview(FGI), classifies them into economic/uneconomic and direct/indirect factors, draws maintenance/improvement factors and unnecessary ones through IPA, and maximizes the effectiveness of performance-reward factors. Results - It also identifies how performance-reward factors have an influence on internal and external motives based on previous studies, classifies performance-reward factors into task performance and contextual performance and identifies the influence relationship between these, and proposes a research model to identify the roles of equity sensitivity based on equity theory. Conclusion - The findings from this study are expected to lay the groundwork for drawing various methods to reduce the turnover rate of employees and be important resources for reinforcing the competitiveness of businesses by classifying the performance -reward factors that may cause internal and external motives from the small and medium-sized manufacturing perspective and presenting methods to identify if these have an influence on task performance and contextual performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3266-3285
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• 2023

With the popularity of online learning, intelligent tutoring systems are starting to become mainstream for assisting online question practice. Surrounded by abundant learning resources, some students struggle to select the proper questions. Personalized question recommendation is crucial for supporting students in choosing the proper questions to improve their learning performance. However, traditional question recommendation methods (i.e., collaborative filtering (CF) and cognitive diagnosis model (CDM)) cannot meet students' needs well. The CDM-based question recommendation ignores students' requirements and similarities, resulting in inaccuracies in the recommendation. Even CF examines student similarities, it disregards their knowledge proficiency and struggles when generating questions of appropriate difficulty. To solve these issues, we first design an enhanced cognitive diagnosis process that integrates students' affection into traditional CDM by employing the non-compensatory bidimensional item response model (NCB-IRM) to enhance the representation of individual personality. Subsequently, we propose an affection-enhanced personalized question recommendation (AE-PQR) method for online learning. It introduces NCB-IRM to CF, considering both individual and common characteristics of students' responses to maintain rationality and accuracy for personalized question recommendation. Experimental results show that our proposed method improves the accuracy of diagnosed student cognition and the appropriateness of recommended questions.