• Knowledge Management Research
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• v.20 no.1
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• pp.231-249
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• 2019

Technology transfer from a multinational company to a local subsidiary is essential for successful local market operations. This study aims to analyze the impact of market, cultural and institutional environmental factors on international technology transfer and innovation performance based on the S-C-P paradigm. We collected data from one hundred ninety-five subsidiaries of Korean parent firms located in seventeen countries and used structural equation modeling to test hypotheses. The analysis findings are as follow; First, both market and cultural environment directly affect international technology transfer. However, institutional environment such as protection of intellectual property does not affect international technology transfer. Due to the less risk of technology disclosure involved in technology transfer within the MNE organization can be not relationship between protection of intellectual property in the host country and the foreign subsidiary's transfer of technology. The risk of infringement of intellectual property is relatively low in intra-firm transfer of technology. Second, the technology introduced from the parent company has a positive effect on the innovation performance of local subsidiaries. This implies that multinational companies that have entered unfamiliar overseas markets should be able to effectively transfer the inherent advantages of the parent company to their overseas subsidiaries, and that their ability to adapt to the local environment is important.

• Transactions of Materials Processing
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• v.31 no.2
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• pp.96-102
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• 2022

The multi-point dieless forming technology is one of flexible forming technologies that can form 3D curved surfaces of various shapes utilizing a lot of punch arrangements. A new technology that can simultaneously apply high-temperature forming and flexible forming technology by fusing local heating effect to such multi-point dieless forming technology was proposed in the present study. A simple local heating multi-point dieless forming apparatus was fabricated to confirm the applicability of this new technology. This equipment was designed to be used as a heat source by inserting heating cartridges in the head of the multi-point punch. Cartridges were used for all individual punches. Using the manufactured equipment, the time to raise the temperature to the target temperature and the surface temperature of the punch head part in contact with the plate were measured. In addition, forming experiments were carried out according to sheet material temperature (100 ℃, 200 ℃, and 300 ℃) to obtain forming results for each condition. The applicability and feasibility of this technology were confirmed through experimental results.

• Polymer(Korea)
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• v.38 no.4
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• pp.477-483
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• 2014

Poly(lactic acid) (PLA) and poly(${\varepsilon}$-caprolactone) (PCL) blends with various components for melt-blown non-wovens were prepared by a twin-screw extruder. Tributyl citrate (TBC) was added in order to improve the miscibility between PLA and PCL. The results showed that small circular particles of PCL were dispersed in PLA matrix uniformly. The addition of PCL had the heterogeneous nucleation effect on the crystallization of PLA and decreased thermal stability of PLA. The flow of pure PLA and blends approached to Newtonian liquid at a low shear rate and expressed more obvious viscoelasticity at a high shear rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4126-4142
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• 2015

Finger vein recognition is a biometric technology using finger veins to authenticate a person, and due to its high degree of uniqueness, liveness, and safety, it is widely used. The traditional Symmetric Local Graph Structure (SLGS) method only considers the relationship between the image pixels as a dominating set, and uses the relevant theories to tap image features. In order to better extract finger vein features, taking into account location information and direction information between the pixels of the image, this paper presents a novel finger vein feature extraction method, Multi-Orientation Weighted Symmetric Local Graph Structure (MOW-SLGS), which assigns weight to each edge according to the positional relationship between the edge and the target pixel. In addition, we use the Extreme Learning Machine (ELM) classifier to train and classify the vein feature extracted by the MOW-SLGS method. Experiments show that the proposed method has better performance than traditional methods.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.225-230
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• 2018

Local brand and local branding is becoming one of fast-growing areas in management. Many local governments participate in local branding project like local festival, local product brand, place marketing. The study identified the characteristics and concepts of local brand and local branding and also suggests some categories of local brand. Empirical study showed low awareness and low trustworthiness for Chungnam local product brand. But brand showed high influence on the consumer's buying intention for the agricultural product. This results suggests the implication that brand is the important for consumer's buying behavior in agriculture industry and local brand has some task for marketing communication for its awareness and trustworthiness.

• Industrial Engineering and Management Systems
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• v.10 no.1
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• pp.84-94
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• 2011

In this paper, we propose a method to provide the distribution of option price under local volatility model when market-provided implied volatility data are given. The local volatility model is one of the most widely used smile-consistent models. In local volatility model, the volatility is a deterministic function of the random stock price. Before estimating local volatility surface (LVS), we need to estimate implied volatility surfaces (IVS) from market data. To do this we use local polynomial smoothing method. Then we apply the Dupire formula to estimate the resulting LVS. However, the result is dependent on the bandwidth of kernel function employed in local polynomial smoothing method and to solve this problem, the proposed method in this paper makes use of model averaging approach by means of bandwidth priors, and then produces a robust local volatility surface estimation with a confidence interval. After constructing LVS, we price barrier option with the LVS estimation through Monte Carlo simulation. To show the merits of our proposed method, we have conducted experiments on simulated and market data which are relevant to KOSPI200 call equity linked warrants (ELWs.) We could show by these experiments that the results of the proposed method are quite reasonable and acceptable when compared to the previous works.

• Korean journal of food and cookery science
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• v.26 no.1
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• pp.72-78
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• 2010

This study aimed to obtain basic data toward fostering understanding and interest in local foods, to the overall end of enhancing development and popularization of such foods. It also gives direction toward promotion of local food by researching attitudes toward local foods and viewpoints on requirements for improvement of such, among university students living in the Daegu-Kyungbuk area. The results of analyzing perceptional scores for native local foods in Kyungbuk by characteristics t showed statistically significant differences according to sex and duration of residence in Kyungbuk. Obstacles to the promotion of local foods include lack of marketing, lack of specialized restaurants, lack of knowledge, lack of menus, lack of generalization, and high price. The results of analyzing viewpoints on requirements for improved perception of local foods, there were statistically significant differences in active advertisement and marketing, diversity of local foods, and duration of dwelling.

• Proceedings of the IEEK Conference
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• summer
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• pp.438-441
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• 2004

Image binarization using a global threshold value [3] performs at high speed, but usually results in undesired binary images when the source images are of poor quality. In such cases, adaptive local thresholding algorithms [1][2][3] are used to obtain better results, and the algorithm proposed by A.E.Savekis which chooses local threshold using fore­ground and background clustering [1] is one of the best thresholding algorithms. However, this algorithm runs slowly due to its re-computing threshold value of each central pixel in a local window MxM. In this paper, we present a dynamic programming approach for the step of calculating local threshold value that reduces many redundant computations and improves the execution speed significantly. Experiments show that our proposal improvement runs more ten times faster than the original algorithm.

• Journal of Magnetics
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• v.5 no.1
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• pp.4-8
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• 2000

Local coercivity variation of Co/Pd nanomultilayers has been investigated by measuring the polar Kerr hysteresis loops of local areas of submicron size using a magnetooptic Kerr microscope system. Interestingly, the local coercivity distribution is very sensitive to an increase in the number of repeats: the $(2-{\AA}\;Co/ll-{\AA} Pd)_10$ sample showed a smooth variation of the local coercivity, while $(2-{\AA}\;Co/ll-{\AA} Pd)_18$ showed a large fluctuation. From micromagnetic considerations based on a thermally activated relaxation odel, we have found that this local coercivity variation has a crucial effect on the contrasting magnetization reversal behavior observed in those samples: dominant wall-motion far the former sample and dominant nucleation for the latter one.

• Smart Structures and Systems
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• v.24 no.5
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• pp.597-606
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• 2019

Damage detection based on dynamic characteristics of a structure is one of important roles in structural damage identification. It is difficult to detect local structural damage using traditional dynamic experimental methods due to a limited number of sensors used in an experiment. In this work, a non-contact test stand of fan blades is established, and a full-field noncontact test method, combined with three-dimensional digital image correlation, Bayesian operational modal analysis, and damage indices, is used to detect local damage of a fan blade under ambient excitation without use of baseline information before structural damage. The methodology is applied to detect invisible local damage on the fan blade. Such a method has a seemingly high potential as an alternative to detect local damage of blades with complex high-precision surfaces under extreme working conditions because it is a noncontact test method and can be used under ambient excitation without human participation.