• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2043-2055
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• 2014

This paper empirically investigates the effects of technology licensing on the licensee firm's performance with the help of a unique data set of observed licensing transactions in Information and Communication Technology (ICT) industry. We examine how intensity of licensing participation as a licensee affects the firm's performance. This study also analyzes how relationship between the licensor and the licensee in a deal along with characteristics of participants and their industry influences the performance of the licensee firm. The findings suggest that frequent participation in technology licensing increase licensee firm's sales growth. Also, transaction cost considerations and technology spillovers are important explanatory factors that influence licensee firms' performance in licensing.

• Journal of Korea Technology Innovation Society
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• v.6 no.1
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• pp.110-124
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• 2003

In this study, we establish technology classification system for twelve material and component(MC) areas to sup-port systematic information services for MCT-20l0 which is supported by Korean government. We propose some design principles for MC technology classification system. The principles are suggested by considering of the characteristics of MC classification, regarding with scope, originality, hierarchy, relationship between technology classification and product classification, duplication and complex structure, use of information system, and life cycle of the classification system.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.145-145
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• 2007

• International Commerce and Information Review
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• v.12 no.4
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• pp.151-170
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• 2010

The present study made an empirical analysis for investigating the competitiveness of technology trades in Korea. In particular, the study deduced the correlation between technology export and technology import using the variables of Gross Domestic Expenditure on R&D and Per capita industry value added Productivity and employed fixed effect model in panel linear regression model. It is found that the R&D expenditure of OECD countries made a significant effect on the technology import and the value-added labor productivity made a significant result on both technology export and import. Therefore, it showed that the technology trade in Korea made a sensitive response to labor productivity in OECD countries. By panel analysis, machine, construction, ICT, and service industry affect most on technology export in Korea for recent 5 years. For technology import, electric-electron, chemical, service, and construction industry have significant effects. This study contributed to understanding of industrial characteristics affecting technology trades in Korea and empirical analysis to show correlation between the factors affecting technology trade.

• Smart Structures and Systems
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• v.29 no.1
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• pp.1-16
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• 2022

Despite recent breakthroughs in deep learning and computer vision fields, the pixel-wise identification of tiny objects in high-resolution images with complex disturbances remains challenging. This study proposes a modified U-net for tiny crack segmentation in real-world steel-box-girder bridges. The modified U-net adopts the common U-net framework and a novel Self-Attention-Self-Adaption (SASA) neuron as the fundamental computing element. The Self-Attention module applies softmax and gate operations to obtain the attention vector. It enables the neuron to focus on the most significant receptive fields when processing large-scale feature maps. The Self-Adaption module consists of a multiplayer perceptron subnet and achieves deeper feature extraction inside a single neuron. For data augmentation, a grid-based crack random elastic deformation (CRED) algorithm is designed to enrich the diversities and irregular shapes of distributed cracks. Grid-based uniform control nodes are first set on both input images and binary labels, random offsets are then employed on these control nodes, and bilinear interpolation is performed for the rest pixels. The proposed SASA neuron and CRED algorithm are simultaneously deployed to train the modified U-net. 200 raw images with a high resolution of 4928 × 3264 are collected, 160 for training and the rest 40 for the test. 512 × 512 patches are generated from the original images by a sliding window with an overlap of 256 as inputs. Results show that the average IoU between the recognized and ground-truth cracks reaches 0.409, which is 29.8% higher than the regular U-net. A five-fold cross-validation study is performed to verify that the proposed method is robust to different training and test images. Ablation experiments further demonstrate the effectiveness of the proposed SASA neuron and CRED algorithm. Promotions of the average IoU individually utilizing the SASA and CRED module add up to the final promotion of the full model, indicating that the SASA and CRED modules contribute to the different stages of model and data in the training process.

• Journal of Korea Technology Innovation Society
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• v.1 no.3
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• pp.364-373
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• 1998

This study examines the international competitiveness of the Korean information and telecommunication industry by using competitiveness index such as the RCA index, the Trade Specialization index, and the Total Factor Productivity. The results of this study show that the industry's competitiveness slightly decreases since 1995, but not its the total factor productivity. In conclusion, the industry has kept the competitiveness over all. Therefore, to keep or improve the competitiveness continuously, the industry is required the government's intensive investment and administrative support. And the industry should bring up by venture and small-medium-size-enterprises to have great economic impacts on other industries. Also, the increasing production and export promoting policy will be enhance the industry and improve nation's balance of trade.

• Journal of Korea Technology Innovation Society
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• v.6 no.3
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• pp.328-344
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• 2003

This paper is aimed at analyzing the effect of Information Technology (IT) investment on the output growth and Total Factor Productivity (TFP) of Korean stock industry. Data on 24 stock firms for the eleven years (1991-2001) are used for the analysis. It is identified that there are both direct and indirect impacts of IT investment of the Korean stock industry on output growth. The total effect on output growth is 1.34 percentage point per year, which divided into a direct effect of investment in IT on the output growth is 1.97 and an indirect effect on the TFP is -0.63 percentage points per year. Results show that IT investment cannot contribute to increased stock industry productivity. Therefore, the Korean stock industry has not benefited from increased investment on IT in increasing productivity, implying the so-called productivity paradox has existed during the period.

• Proceedings of the Safety Management and Science Conference
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• 2003.05a
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• pp.175-183
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• 2003

It should be needed to realize a general system which make it possible to enjoy cyber tourism based on knowledge information system to recover a local potential growth power, catch a jumping chance again, and hold a new competitive power. But to discuss a tourism information system, the matters of hard ware, software and information mediating system should be reviewed generally, this research is likely to provide a cyber tourism information system through internet as a way of cyber tours through multimedia technology and stereoscopic image technique using geographic information system centering on the networking system of tourism information. Constructing $\ulcorner$cyber touristy city$\lrcorner$ on internet, foster a new industry, to go balanced with a present tourism industry and experience a virtual reality, various theme tours create high profit to shrunken tourism industry. Remark : multimedia technology, stereoscopic image, geographic information system

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.155-173
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• 2009

Budget for the industry-university co-operation is expanded by the increasing of the importance of industry-university co-operation. Even though, industry and university do not co-operate voluntarily. Until now, there is no research about industry-university co-operation focusing on SMEs. This paper is about industry-university co-operation focusing on SMEs. In this paper, we introduce the status and structural problems of industry-university co-operation related with SMEs. And we derive the problems of industry-university co-operation in terms of co-operation purpose. Industry-university co-operation in terms of co-operation purpose can be categorized as R&D, technology transfer, infrastructure, and manpower training. And last, we suggest how we improve the industry-university co-operation system to benefit SMEs.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.9-16
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• 2022

Purpose: This research investigates the differences in knowledge exchange activities and performances between startups and large companies in software industry clusters. Research design, data, and methodology: Six independent factors of human resource information, R&D and technology, marketing knowledge, government support information, strategic knowledge, and cooperation information were extracted to test the firm size effect in the relationships with two performance factors such as satisfaction with industry cluster location and satisfaction with financial performances. Data were collected through a survey of entrepreneurs, managers, and employees and tested by statistical analysis methodologies. Results: Three independent factors of human resource information, R&D and technology, and cooperation information were particularly significant in the relationship with both dependent factors. Strategic knowledge significantly affected financial performance. Knowledge exchange activities were more important in startups than in large companies for all eight factors. Conclusion: Policies for software industry clusters need a different approach for startups and large companies.