• Journal of Microbiology and Biotechnology
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• v.25 no.11
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• pp.1819-1826
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• 2015

Poly(ε-ʟ-lysine) (ε-PL) is a novel bioactive polymer secreted by filamentous bacteria. Owing to lack of a genetic system for most ε-PL-producing strains, very little research on enhancing ε-PL biosynthesis by genetic manipulation has been reported. In this study, an effective genetic system was established via intergeneric conjugal transfer for Streptomyces albulus PD-1, a famous ε-PL-producing strain. Using the established genetic system, the Vitreoscilla hemoglobin (VHb) gene was integrated into the chromosome of S. albulus PD-1 to alleviate oxygen limitation and to enhance the biosynthesis of ε-PL in submerged fermentation. Ultimately, the production of ε-PL increased from 22.7 g/l to 34.2 g/l after fed-batch culture in a 5 L bioreactor. Determination of the oxygen uptake rate, transcriptional level of ε-PL synthetase gene, and ATP level unveiled that the expression of VHb in S. albulus PD-1 enhanced ε-PL biosynthesis by improving respiration and ATP supply. To the best of our knowledge, this is the first report on enhancing ε-PL production by chromosomal integration of the VHb gene in an ε-PL-producing strain, and it will open a new avenue for ε-PL production.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.664-683
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• 2017

The technology transfers from public institutions have positioned themselves as knowledge conduits for stimulating firms' capabilities under 'catching-up' economy paradigm. While this view is still relevant, the policy for public technology needs to be extended to a more marketoriented way. This study explores how public technology affects the financial performance of demanding companies by comparing the revenues and profits of 'technology commercialised group (TC)' and 'in-house research group (InR)'. The estimation results by hierarchy regression suggest that the size and the patents of TC firms have a more influential impact than InR group, although the ratio of maintaining research staff was reported an inverse relation. The contribution to the operating profit seems to be indifferent between the groups. The positive impact of public technology over the firm's performance is highly related to the technology commercialisation capability, signalling that the aim of technology transfer needs to gear toward the enhancement of commercialising capabilities rather than the promotion of technology transactions.

• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.363-369
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• 2010

Demonstration-based learning has the advantage that a user can easily teach his/her robot new task knowledge just by demonstrating directly how to perform the task. However, many previous demonstration-based learning techniques used a kind of attribute-value vector model to represent their state spaces and policies. Due to the limitation of this model, they suffered from both low efficiency of the learning process and low reusability of the learned policy. In this paper, we present a new demonstration-based learning method, in which the relational model is adopted in place of the attribute-value model. Applying the relational instance-based learning to the training examples extracted from the records of the user demonstrations, the method derives a relational instance-based policy which can be easily utilized for other similar tasks in the same domain. A relational policy maps a context, represented as a pair of (state, goal), to a corresponding action to be executed. In this paper, we give a detail explanation of our demonstration-based relational policy learning method, and then analyze the effectiveness of our learning method through some experiments using a robot simulator.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.116-127
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• 2008

In the $7^{th}$ education curriculum, computer education curriculum in the elementary and secondary schools is composited into the contents for the use of computers so that there are some limitations in teaching students the abilities for solving various problems of several areas using computers. Recently, the research has done to change the computer education curriculum for enhancing creativity and problem solving ability required by the future education. The contents of the main subject for enhancing them is of computer programming, however, there was not enough research on systematic programming education curriculum for leading to motivating learners and enhanced knowledge transfer to those learners. In this paper, we analysis the contents mathematics education curriculum with consecutive contents and in tight connection with computer education and then extract its programming related elements. Based on those, we propose a programming education curriculum with which we can teach systematically computer programing according to continual and systematic guidance in the elementary and secondary schools. And we develop a teaching model and learning guidance for teaching students programming methods with the computer programming education curriculum proposed in this paper.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.71-93
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• 2020

Today, in order to more effectively cope with the emergence of various diseases and the rapidly-changing medical environment, several medical departments are conducting treatment collaborations within the university hospital. This collaborative care is very important and is already common in the medical field. Nevertheless, there is no research on this, especially how the departments are collaborating. Therefore, the purpose of this study is to investigate how the characteristics of the treatment collaboration networks vary by year and season by exploring the relationship between the medical departments within the university hospital. This study analyzed the collaboration networks of 29 medical departments of 'A' university in Korea by dividing the collaborative care by year and season. Directed networks were constructed in response to departments requesting and departments requested for collaborative care. Betweenness centrality, eigenvector centrality, closeness centrality analysis, ego network analysis, and faction analysis were also conducted. This study performed the first treatment collaboration network analysis among medical departments, and is expected to present new insights into the location and spatial composition of medical departments in consideration of the knowledge transfer paths within medical institutions.

• Journal of Advanced Navigation Technology
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• v.18 no.3
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• pp.236-241
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• 2014

In a mobile ad hoc networks, multi-hop transmission is used to transfer data from source node to destination node and the routing protocol is the one of the important technical issues. The links between nodes can be unstable due to the changes of node location and channel conditions, and it can induce link error. To solve this problem, multipath routing was proposed. Multipath routing can reduce the data congestion and increase data throughput. In the multipath routing, however, each path can be interfered by the other path, and it can aggravate network performance. In this paper, we propose the multipath routing technique in the multi-rate MANET. The proposed multipath routing can avoid interference without the knowledge of node location. Simulation results show that the proposed multipath routing can reduce transmission delay and error.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.31-38
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• 2019

The purpose of this study is to provide the priority of the front-loading factors in the design stage of the automotive parts development process in order to efficiently and effectively respond to the demands of the car maker (customer). Front-loading is defined as a strategy in order to improve development performance by shifting the identification and solving of design problems to earlier phases of a product development process. Two approaches of the front-loading are project-to-project knowledge transfer and rapid problem solving. For the study, a survey was conducted on the R&D department in the automobile parts company and analyzed by AHP (Analytic Hierarchy Process) method. The result of the survey shows the cost savings is the highest weight in terms of front-loading effect and in terms of front-loading factors, it gives priorities as "the problems of past project" first, "Design Review" second, "CAE (Computer Aided Engineering)" third, "FMEA (Failure Mode and Effects Analysis)" fourth, "benchmarking" and SR (Sourcing of Requirements). The results of the study will be helpful to provide practical value for improving product design of component development.

• The Journal of Korean Association of Computer Education
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• v.13 no.1
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• pp.27-36
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• 2010

Introducing algorithm and programming education to the middle school 'Information' curriculum is appropriate to develop higher thinking skills like problem solving ability and creativity that is the most important ability to the people living in the knowledge and information society. But to providing reduced algorithm and programming contents of higher education increase the cognitive burden on the students in the concrete operational period who is not yet reached to the formal operational period, and moreover transfering principles and strategies learned in the algorithm to the programming for the problem solving is difficult. For this study, student's developmental characteristics in the concrete operational period among cognitive developmental periods was considered, and FAAP(First-Algorithm After-Programming) learning model which can transfer algorithm to programming was developed, and finally the effectiveness of learning motivation and achievement to the concrete operational period's students was verified. Results of the tests showed that learning motivation and achievement of the concrete operational period's students that learned FAAP model were different significantly.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.205-212
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• 2018

This Study aims to propose a new information security governance model design method for streamlining security governance at national strategic level. The research method of this study is to diagnose our operational experience and to derive a new model design method. In the meantime, national information security activities were perceived to be focused on knowledge transfer, and motivation of activities and securing of executive power were weak. As a result, security blind spots and frequent occurrence of large security incidents have become unresolved challenges. National cyber security governance should be grouped together as a whole systematically from the upper policy to the lower level of performance under the responsibility of the national leader. Based on this approach, this study presented the comprehensive framework of Korean security governance model and embodied it into four architectural designs such as vision, goal, process, and performance, thus deriving the foundation for future national governance model design. Further research is needed to diagnose problems in life cycle flow, security policies based on environmental changes, and new frameworks in which all subjects participate.

• Nuclear Engineering and Technology
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• v.52 no.8
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• pp.1871-1880
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• 2020

Round robin analyses for vessel failure probabilities due to PTS events are proposed for plant-specific analyses of all types of reactors developed in Korea. Four organizations, that are responsible for regulation, operation, research and design of the nuclear power plant in Korea, participated in the round robin analysis. The vessel failure probabilities from the probabilistic fracture mechanics analyses are calculated to assure the structural integrity of the reactor pressure vessel during transients that are expected to initiate PTS events. The failure probabilities due to various parameters are compared with each other. All results are obtained based on several assumptions about material properties, flaw distribution data, and transient data such as pressure, temperature, and heat transfer coefficient. The realistic input data can be used to obtain more realistic failure probabilities. The various results presented in this study will be helpful not only for benchmark calculations, result comparisons, and verification of PFM codes developed but also as a contribution to knowledge management for the future generation.