• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.341-350
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• 2020

This study aims to verify the relationship between overseas activities and performance of Korea's SMEs during the last financial crisis. Whether overseas activity performance of enterprises differed was determined based on characteristic variables, including the degree of concentration on R&D and marketing. This study also examined how SMEs' international transactions and their performance differed based on internal variable such as the level of stock holding and firm size. This study developed a model for analyzing the relationship between the level of internationalization and performance of Koran SMEs listed in the KOSDAQ. We used firm-level data, including annual reports and various data sources such as the KISVALUE program. To smooth annual fluctuations in accounting data, we used a three-year average from 2006 to 2009 for each variable in the study. The results showed that proactive overseas activities ultimately had a positive effect on an enterprise's performance, even though it initially had a negative effect. Therefore, enterprises should focus their capacity on R&D and marketing environment. Although numerous studies have focused on the relationship between overseas activities and performance of enterprises, the present study analyzed whether enterprises should continuously engage in overseas activities and what capacities they should strengthen during a global economic recession.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.989-998
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• 2014

We examine the awareness of the facility managers in Korean universities and colleges over the global climate change and over the national greenhouse gas (GHG) energy target management program via a questionnaire survey. The result shows that the survey participants maintain high awareness on global and national issues including the climate change and the concept of the national GHG management framework. On the other hand, the responsibility of universities and colleges associated to these issues is not recognized as well, showing the necessity for further education. Additionally, important implications on the direction and the major factors that should be considered during the development of a GHG management program for universities and colleges are deduced from the result of the survey. In order to be effective in universities and colleges, a GHG management program must be able to estimate the present level of emissions accurately, to address campus-specific emissions characteristics, and to facilitate ease use for generic users. At the same time, active supporting services including education and promotion should be incorporated. The survey result can be utilized as basic data in guiding the future development of effective GHG management programs.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.6
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• pp.543-551
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• 2017

A campus guide robot was developed that can autonomously guide people through a university campus. The robot is able to evaluate its location using Differential Global Positioning System (DGPS) and Dead-Reckoning using the encoders mounted on its wheels. The robot can navigate autonomously along a guide route that is set in advance. A new position-based guidance approach was suggested. Unlike the conventional method of setting the guide sequence in advance, the robot acquires guidance by judging whether there is guide information corresponding to its current position. The robot searches guide information from the guide database while it moves along the guide path autonomously. If there is any guide information available around the location of the robot, then it performs guide functions. We also suggested an effective guide scenario that can maximize the interest of people. The performance of the robot was tested through sets of experiments in a true campus environment.

• Asian Journal of Innovation and Policy
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• v.6 no.3
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• pp.354-378
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• 2017

Global research and development (R&D) spending has increased in recent years as the need for new technologies has grown and structural changes in the market have become evident. R&D and its transfer into the commercial sector have an important relationship. This paper analyzes the relationship between industrial R&D expenditure and how it affects technology transfer in Malaysia, Singapore and Taiwan. The research is based on the analysis of secondary data from published annual reports followed by a quantitative analysis of primary data using survey questionnaires. The research finds that the bulk of R&D expenditure was from the top ten organizations and the top five industries for each country. The findings also reveal that an organization's readiness in terms of technology and people capabilities is still weak in Malaysia and Singapore. The findings also indicate that there is a relationship between industrial R&D expenditure and the propensity of technology transfer in Taiwan.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.6
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• pp.982-988
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• 2013

With conventional positioning apparatus, it is very difficult to simultaneously achieve the desired driving range and precision at the sub-micrometer level. Generally, lead screw and friction drive, etc., have been used as servo control systems. These have large driving ranges, and high-speed positioning is feasible. In this study, we present a global servo system controlled by a laser interferometer acting as a displacement measurement sensor for achieving positioning accuracy at the sub-micrometer level.

• Ocean Systems Engineering
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• v.9 no.2
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• pp.179-190
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• 2019

This paper deals with the problem of the global stabilization for a class of ocean structure systems. It is well known that, in general, the global asymptotic stability of the ocean structure subsystems does not imply the global asymptotic stability of the composite closed-loop system. The classical fuzzy inference methods cannot work to their full potential in such circumstances because given knowledge does not cover the entire problem domain. However, requirements of fuzzy systems may change over time and therefore, the use of a static rule base may affect the effectiveness of fuzzy rule interpolation due to the absence of the most concurrent (dynamic) rules. Designing a dynamic rule base yet needs additional information. In this paper, we demonstrate this proposed methodology is a flexible and general approach, with no theoretical restriction over the employment of any particular interpolation in performing interpolation nor in the computational mechanisms to implement fitness evaluation and rule promotion.

• Journal of the Korean Institute of Educational Facilities
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• v.25 no.4
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• pp.11-18
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• 2018

Global warming is happening now and inevitable. Everyone knows that immediate action should be taken to slow it down, but uncertain about the effective solution. Despite global efforts to reduce greenhouse gas emissions, sea levels are rising gradually. In 2013, Cornell University announced the Climate Action Plan(CAP) to make the campus greener, to reduce waste, and to ensure efficient use of resources. In particular, they set a goal of reducing energy use by 2050 and making carbon emissions to zero. Accordingly, the purpose of this study is to analyse the case of the master plan of Cornell Tech campus and its major buildings. Mainly, The House, faculty and student housing of Cornell Tech and the world tallest certified passive house, will be the main precedent that shows the architectural planning of passive house. Passive house technology, which was thought to be possible only in single-family houses, can be applied to high-rise buildings. If any passive house technology of The House project is actively introduced into the dormitory projects of domestic universities that are about to be built or renovated, it will be a good opportunity for the university to take the lead in preparing for global warming.

• Structural Engineering and Mechanics
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• v.24 no.1
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• pp.63-89
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• 2006

Geometric imperfections have an important influence on the buckling response of structural components. This paper describes an experimental technique for determining imperfections in long (5.7 m) structural members using a series of overlapping measurements. Measurements were performed on 31 austenitic stainless steel sections formed from three different production routes: hot-rolling, cold-rolling and press-braking. Spectral analysis was carried out on the imperfections to obtain information on the periodic nature of the profiles. Two series were used to model the profile firstly the orthogonal cosine and sine functions in a classic Fourier transform and secondly a half sine series. Results were compared to the relevant tolerance standards. Simple predictive tools for both local and global imperfections have been developed to enable representative geometric imperfections to be incorporated into numerical models and design methods.

• Journal of Electrical Engineering and Technology
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• v.13 no.2
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• pp.998-1007
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• 2018

The advent of Wireless Sensor Networks (WSN) has led to their use in numerous applications. Sensors are autonomous in nature and are constrained by limited resources. Designing an autonomous topology with criteria for economic and energy conservation is considered a major goal in WSN. The proposed honey-hive clustering consumes minimum energy and resources with minimal transmission delay compared to the existing approaches. The honey-hive approach consists of two phases. The first phase is an Intra-Cluster Min-Max Discrepancy (ICMMD) analysis, which is based on the local honey-hive data gathering technique and the second phase is Inter-Cluster Frequency Matching (ICFM), which is based on the global optimal data aggregation. The proposed data aggregation mechanism increases the optimal connectivity range of the sensor node to a considerable degree for inter-cluster and intra-cluster coverage with an improved optimal energy conservation.

• Journal of Forest and Environmental Science
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• v.36 no.1
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• pp.37-46
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• 2020

Vegetation carbon sequestration and regeneration are the two major parameters of forest research. In this study, we analyzed the vegetation carbon stock and regeneration of community-managed pine plantation of Kathmandu, central Nepal. Vegetation data were collected from 40 circular plots of 10 m radius (for the tree) and 1m radius (for seedling) applying a stratified random sampling and nested quadrat method. The carbon stock was estimated by Chave allometric model and estimated carbon stock was converted into CO₂ equivalents. Density-diameter (d-d) curve was also prepared to check the regeneration status and stability of the plantation. A d-d curve indicates the good regeneration status of the forest with a stable population in each size class. Diversity of trees was very low, only two tree species Pinus roxburghii and Eucalyptus citriodora occurred in the sample plots. Pine was the dominant tree in terms of density, basal area, biomass, carbon stock and CO₂ stock than the eucalyptus. The basal area, carbon stock and CO₂ stock of forest was 33±1.0 ㎡ ha^-1, 108±5.0 Mg ha^-1 and 394±18 Mg ha^-1, respectively. Seedling and tree density of the plantation was 4,965 ha^-1 and 339 ha^-1 respectively. The forest carbon stock showed a positive relationship with biomass, tree diameter, height and basal area but no relationship with tree density. Canopy cover and tree diameter have a negative effect on seedling density and regeneration. In conclusion, the community forest has a stable population in each size class, sequestering a significant amount of carbon and CO₂ emitted from densely populated Kathmandu metro city as the forest biomass hence have a potentiality to mitigate the global climate change.