• Korean Journal of Remote Sensing
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• v.35 no.5_1
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• pp.625-636
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• 2019

Soil moisture is a representative factor that plays a key role in hydrological cycle. It is involved in the interaction between atmosphere and land surface, and is used in fields such as agriculture and water resources. Advanced Microwave Scanning Radiometer 2 (AMSR2), Advanced SCATterometer (ASCAT), and European Space Agency Climate Change Initiative (ESACCI) data were used to analyze the applicability and uncertainty of satellite soil moisture product in the Korean peninsula. Cumulative distribution function (CDF) matching and triple collocation (TC) analysis were carried out to investigate uncertainty and correction of satellite soil moisture data. Comparisons of pre-calibration satellite soil moisture data with the Automated Agriculture Observing System (AAOS) indicated that ESACCI and ASCAT data reflect the trend of AAOS well. On the other hand, AMSR2 satellite data showed overestimated values during the freezing period. Correction of satellite soil moisture data using CDF matching improved the error and correlation compared to those before correction. Finally, uncertainty analysis of soil moisture was carried out using TC method. Clearly, the uncertainty of the satellite soil moisture, corrected by CDF matching, was diminished in both freezing and thawing periods. Overall, it is expected that using ASCAT and ESACCI rather than AMSR2 soil moisture data will give more accurate soil moisture information when correction is performed on the Korean peninsula.

• Korean Management Science Review
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• v.34 no.3
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• pp.43-60
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• 2017

This study empirically examined the differences in degrees of product or process innovations according to the activation forms of all knowledge management (KM) processes (i.e., socialization, internalization, externalization, and combination), which are influenced by the usage patterns of management control systems (MCS)(i.e., interactive and diagnostic usage patterns). We empirically investigated and identified the links among usage patterns of MCS, the activation forms of KM processes, and the kinds of innovation promoted. Under high competitive conditions, it was found that the interactive usage of MCS is relatively more preferred and enhanced. However, when environmental uncertainty is high, it was shown that the diagnostic use of MCS is more emphasized. Thus, it is evident that the use patterns of MCS are determined by environmental conditions. From the results of this study, it was suggested that under high interactive use of MCS, the activation of socialization and internalization is more enhanced than the facilitation of externalization. It was also observed that when both interactive and diagnostic usage of MCS are high, KM processes are more activated and strengthened. The results indicated that under high activation of KM processes, product innovation as well as process innovation are more frequently occurred. Finally, the results of this study suggested that according to the levels of innovation openness, major innovations are more frequently occurred and promoted than minor innovations.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.2
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• pp.207-216
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• 2000

This paper introduces an effective system design method to develop a customer oriented product using a design optimization process and to select a set of critical design paramenters,. The process results in the development of a successful product satisfying customer needs and reducing development risk. The proposed scheme adopted a five step QFD(Quality Function Deployment) in order to extract design parameters from customer needs and evaluated their priority using risk factors for extracted design parameters. In this process we determine critical design parameters and allocate them to subsystem designers. Subsequently design engineers develop and test the product based on these parameters. These design parameters capture the characteristics of customer needs in terms of performance cost and schedule in the process of QFD, The subsequent risk management task ensures the minimum risk approach in the presence of design parameter uncertainty. An application of this approach was demonstrated in the development of weld quality monitoring system. Dominant design parameters affect linearity characteristics of weld defect feature vectors. Therefore it simplifies the algorithm for adopting pattern classification of feature vectors and improves the accuracy of recognition rate of weld defect and the real time response of the defect detection in the performance. Additionally the development cost decreases by using DSP board for low speed because of reducing CPU's load adopting algorithm in classifying weld defects. It also reduces the cost by using the single sensor to measure weld defects. Furthermore the synergy effect derived from the critical design parameters improves the detection rate of weld defects by 15% when compared with the implementation using the non-critical design parameters. It also result in 30% saving in development cost./ The overall results are close to 95% customer level showing the effectiveness of the proposed development approach.

• Journal of Technology Innovation
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• v.18 no.1
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• pp.153-175
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• 2010

Firms must focus on innovative activities via R&D investment in order to secure competitive advantage and sustainable growth. However, their innovative activities do not always result in successful outcomes and are often obstructed by uncertainty and non-appropriability of technology being developed and by insufficient internal resources and capabilities to tap into it. In this situation, collaboration with external partners can be a part of good alternative strategy to solve those problems. This paper aims to analyze what factors lead to Korean manufacturing companies’ decision to collaborate with external partners for technology innovation. For empirical analysis, we used the Korean Innovation Data compiled by STEPI, government-funded research institute in Korea. The research findings are: 1) firms tend to participate in external collaboration for product innovation with greater firm size, more past collaboration experiences and when they belong to high-tech industries 2) unlike our expectation, our chosen ‘innovation-impeding’ factors are found not to contribute to the enhancement of collaboration for product innovation.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.123-140
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• 2022

In the ever-increasing online secondhand product market, the perceived risk of online used products purchase was identified as a factor influencing consumer purchase intention. The results of this study are as follows. First, the relationship between the perceived risk of online secondhand purchase and purchase intention was presented with somewhat different results for each sub-risk factor. First of all, a significant negative causal relationship between physical risk, time loss risk, psychological risk, social risk and online used product purchase intention was verified. On the other hand, financial risk and functional risk did not show a statistically significant relationship with online used products purchase intention. Second, as a result of research on the moderating effect of purchasing experience, offline purchasing experience of used products and online purchasing experience were verified differently. First of all, the moderating effect of the online purchase experience of used products was significant only in the relationship between psychological and social risks on the intention to purchase used products online. The experience of purchasing used products online is believed to reduce uncertainty about the surrounding response to purchasing used products online and weaken the intention to purchase used products online by reducing tension and concerns about purchasing them. Other risks, such as financial risk, performance risk, physical risk, time loss risk, and online purchase experience of used products, were verified to have no significant effect on online used products purchase intention. In addition, the offline purchase experience of used products did not verify a significant moderating effect on the effect of all perceived risks on online used product purchase intention.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.13-32
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• 1997

The modem society has been talked as the age of uncertainty, the age discontinuity and the information society. The future society is forcasted the creativity society. Both the achievement motive and the creativity be suggested as an important factors to accomplish the individual goals and organizational performance. The achievement motive has the major implications in increasing the level of achievement motive between high and low creative group. The employee creativity is the emergence in action of a novel relational product, growing out of the uniqueness of the individual on the hand, and materals, events people or cirumstances of his life on the other. It has been treated as an impotant factor to solve the complex management ploblems for the management. The major purpose of this study are (1) to review the theory of an achievement motivation and the creativity, (2) to provide both management and scholars with the practical and useful implications on the development of the employee cretivity in improving the management performance.

• Journal of Technology Innovation
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• v.12 no.1
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• pp.287-304
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• 2004

Since there are various types of technologies in the steel manufacturing industry, steel manufacturers need to adopt the most suitable technology Pricing method contingent on the technology type. Steel manufacturing technologies could be categorized as three groups. First, product and process technologies can enhance sales and contribute revenue increase, DCF method could be recommended. Second, maintenance and quality management technologies are mainly embodied in people, human resource profitability method is more suitable. Third, break-through technologies have great uncertainty in terms of commercialization and commercial success, therefore cost saving method is more reasonable. Finally, a sample case is suggested applying above technology pricing model to a steel manufacturer.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.1
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• pp.27-34
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• 1995

In this paper, we have developed a model to determine the input quantity to be processed at each stage of a multi-stage production system in which the yield at each stage may be random and may need reworking at this stage. Yield randomness. especially in a semiconductor industry, is a most challenging problem for production control. The demand for flnal product is uncertain. We have extended the model proposed in Park and Kim[9] to consider a multiple number of reworkings which can be done at any stage prior to or tat the stage whose output in bad, depending on the level of the defect.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.256-263
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• 1993

The integration of deburring robots into product quality and productivity impact the industrial. In this paper the intelligent system of robotic deburring is proposed integrated with robot system, image processing system, force sensor system and host PC. The size, position, recognition of burr is determined by the information that the image processing system processed. The feed velocity of cutting tool is controlled by the information that the force sensor system processed. The integration of these information can remove the uncertainty of the information of deburring on the cutting path. The result of these technologies is useful for the development of the factory automation and automatic inspection equipments.

• Structural Engineering and Mechanics
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• v.20 no.3
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• pp.347-362
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• 2005

The input energy to a base-isolated (BI) building during an earthquake is considered and formulated in the frequency domain. The frequency-domain approach for input energy computation has some notable advantages over the conventional time-domain approach. Sensitivities of the input energy to the BI building are derived with respect to uncertain parameters in the base-isolation system. It is demonstrated that the input energy can be of a compact form via the frequency integration of the product between the input component (Fourier amplitude spectrum of acceleration) and the structural model component (so-called energy transfer function). With the help of this compact form, it is shown that the formulation of earthquake input energy in the frequency domain is essential for deriving the sensitivities of the input energy to the BI building with respect to uncertain parameters. The sensitivity expressions provide us with information on the most unfavorable combination of the uncertain parameters which leads to the maximum energy input.