• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.473-484
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• 2017

This study analyzed collaborative R&D projects funded by the Korean government from 2013-2015. For this analysis, input and output variables of projects were considered, and a combination of those variables was itemized. The output-oriented variable return to scale (VRS) model extended from the DEA methodology was adopted to evaluate the cooperation efficiency of the types of R&D collaboration, which were classified according to the project leader's organizations. In addition, hierarchical cluster analysis was conducted using the efficiency results of the scientific, technical, and economical outcome models. The results showed that cooperation efficiency between large companies and public research institutions was relatively high. Conversely, cooperation among medium-sized companies, small businesses and universities was particularly inefficient. The clustering results demonstrated the various strengths and weaknesses of the types depending on publications, patents, technical loyalties and the number of commercialization. In conclusion, this study suggests differentiated investment portfolios and strategies based on the efficiency results of diverse cooperation types among industries, universities and public research institutions.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.123-133
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• 2018

Recently, countries are pursuing vigorous research, development and commercialization in cooperation with industry, academia and researcher to take the lead in building a smart manufacturing system that is at the center of the fourth industrial revolution. According to a research report [4], the competitiveness of Korea in the area of basic technology, hardware, and software of the smart factory is reported to be less than 70% of the developed countries. In this study, we reviewed the existing research literature and analyzed the current status of smart manufacturing technology and major issues in the manufacturing industry. We tried to provide ideas for collaboration with core technology researchers and companies with business processes. Internet of Things, CPS and robot technologies have been the most active in smart manufacturing area. It can be seen that cooperation between researchers and industries in the early stage is being done through the case of industry application of each core technology.

• Journal of the Korean association of regional geographers
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• v.23 no.1
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• pp.227-238
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• 2017

Under the knowledge-based economy, the function of university as an institution to create and diffuse new knowledge and technology is emphasized than ever before. Today, universities around the world find themselves going beyond the traditional roles of research and teaching to drive the development of local economies through collaborations with industry. This study aims to examine the university-industry collaboration and identify the aspects of knowledge transfer and exchange between university and external agencies and intends to explain in particular how the knowledge transfer of the university affects the innovation and competitive advantage of regional businesses. The analysis on the case study of Chonnam National University focusing on the knowledge transfer, in particular examined through the contracted or commissioned researches suggests that only a small portion of the knowledge generated by the university is transferred to Gwangju and Jeonnam region, thus it can be seen that knowledge transfer of Chonnam National University partially affects the development of the regional economy. However, it is analyzed that this knowledge transfer differs somewhat depending on the client's sectors and the contents of research contracts.

• ALGAE
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• v.38 no.4
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• pp.217-240
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• 2023

Sulfated polysaccharides (SPs) isolated from seaweed have emerged as remarkable bioactive compounds with a wide spectrum of biological activities and have substantial value in the scientific and industrial domains. The current study explores the diverse biological activities of SPs and their relationship with their structures. This aids in an in-depth examination of the multifaceted biological activities of SPs, including anticoagulant, anti-inflammatory, antiviral, antioxidant, and immunomodulatory properties, which underpin their potential health benefits. Furthermore, the current study explores the complicated properties of SPs, with their extraction methodologies and techniques for precise characterization. Elucidation of the commercial significance of SPs derived from brown, red, and green seaweed by highlighting their potential applications has emphasized their importance in human well-being. Further, this review emphasizes the challenges needed to overcome research and industrial innovations for SPs. Collaboration among researchers, industry stakeholders, and regulatory authorities can overcome these challenges and elevate the potential of SPs to revolutionize industries such as pharmaceuticals, cosmeceuticals, food, and biotechnology.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.57-66
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• 2013

Domestic PCB industry formed by orders of demand companies is extremely vulnerable in its innovation infrastructure including high value-added technology development and information exchange. The majority of PCB products produced in the country relies on the imports from abroad and it causes its vulnerability to external market changes. Due to the negative perceptions about the industry (e.g., 3D job), low treatment (especially SMEs) and expertise employment avoidance in PCB industry, the job market conditions of PCB industry is not so good. In these circumstances, the PCB industry is completely dependent on the demand market such as cellular phones, and tablet PC, and as a result the responsiveness of PCB industry to the changes in demand market is also vulnerable. In this PCB industry, Korean government is trying to build the research infrastructure for PCB industry that realizes the sharing of information among companiesthrough the operation of the PCB industry innovation forum (information innovation), builds SME suppot platform and supports quality improvement (technology innovation), and supports enterprise collaboration processes (material-process-equipment) utilizing PCM open laboratory. The PCB industry technology infratstructure project is going to be promoted by the government(1.3 billion won, each year) and the private investmen(434 million won each year) from 2013 to 2017(5 years project)(table 1). This study analyzes the feasibility of the project, by using the AHP analysis and the results shows that this project is considered feasible because the AHP overall score is evaluated as 0.841, the overall score is greater than or equal to 0.55.

• Journal of Engineering Education Research
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• v.25 no.2
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• pp.3-12
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• 2022

The purpose of this study was to investigate the perceptions and educational needs of the university faculties in charge of capstone design courses. To achieve the purpose of this study, the 100 questionnaires collected from the faculties nationwide with teaching experience in capstone design courses were analyzed using descriptive statistics analysis, the Borich needs assessment model, and the Locus for focus model. The faculties perceived the importance of their roles in the following order: coaching students, providing opportunities for students to show their abilities, motivating and encouraging, and building trusting relationships with students. The biggest challenges that the faculties perceived in capstone design classes were the lack of university-industry collaboration and project execution time. In the analysis of the needs for the capstone design process, the research results showed that team-building, core task development and analysis, deriving problem-solving ideas, building prototypes, and comprehensive reflection ranked the top priorities. This study is expected to help the design of the courses and the development of customized faculty support programs by analyzing the faculties' perceptions and needs for capstone design classes.

• Research in Plant Disease
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• v.30 no.1
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• pp.99-102
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• 2024

Integrated pest management is essential for controlling plant diseases that reduce crop yields. Rapid diagnosis is crucial for effective management in the event of an outbreak to identify the cause and minimize damage. Diagnosis methods range from indirect visual observation, which can be subjective and inaccurate, to machine learning and deep learning predictions that may suffer from biased data. Direct molecular-based methods, while accurate, are complex and time-consuming. However, the development of large multimodal models, like GPT-4, combines image recognition with natural language processing for more accurate diagnostic information. This study introduces GPT-4-based system for diagnosing plant diseases utilizing a detailed knowledge base with 1,420 host plants, 2,462 pathogens, and 37,467 pesticide instances from the official plant disease and pesticide registries of Korea. The AI plant doctor offers interactive advice on diagnosis, control methods, and pesticide use for diseases in Korea and is accessible at https://pdoc.scnu.ac.kr/.

• Journal of Engineering Education Research
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• v.19 no.1
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• pp.61-66
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• 2016

To enhance the university-industry collaboration, a novel program named as Internship & Capstone Design Integrated program (ICIP) is developed by Dongguk University. Senior students must take one Capstone design class for graduation. By participating in summer Internship and one-year Capstone Design work, practical problems given by businesses are solved. The ICIP is a Project and Internship-based course. By participating in summer internship and one-year Capstone Design work, practical problems given by businesses are solved. The internship course requires students to work in teams under mentors who work in the partner company proposed project themes. Students apply their academic experiences in constructing real projects at work under the supervision of their site mentors and academic advisor. In this regard, this study attempts to present a case study on the assessment of program outcomes using the Internship.

• Korea Journal of Hospital Management
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• v.17 no.4
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• pp.167-187
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• 2012

Organizational growth is achieved through the process of finding opportunities in the environment and establishing a business model with internal and external resources. Bestian Hospital, which primarily focuses on saving the lives of patients with severe burns, has enlarged its business domain through deep understanding of burn patients' problems, including pain and complications during treatments, long-term treatments, skin reconstruction, and so on. Now Bestian is accelerating research for development of antipyretics and cosmetics for burn patients. The success of Bestian has been due to utilization of human and material resources that are essential to performance in the medical field. Also, Bestian properly used a management service organization(MSO) model and constructed an information technology(IT) system for supporting its businesses. However, previous successes do not guarantee continued success. Bestian is entering a new domain with different challenges than it has experienced so far, and how it deals with these challenges will decide its future.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.37-52
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• 2015

The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government's R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard's Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard's Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard's model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.