• ETRI Journal
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• v.30 no.3
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• pp.486-488
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• 2008

In this paper, a scheme to increase the throughput of RFID systems is presented, which considers the capture effect in the context of framed ALOHA protocol. Under the capture model in which the probability of one tag is identified successfully depending on the number of tags involved in the collision, two probabilistic methods for estimating the unknown number of tags are proposed. The first method is the maximum likelihood estimation method, and the second method is an approximate algorithm for reducing the computational time. The optimal frame size condition to maximize the system throughput by considering the capture effect is also presented.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.49-72
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• 2003

Despite the phenomenal growth of Internet users in recent years, the penetration rate of B2C electronic commerce(EC) is still low. According to previous studies, one of most often cited reasons is the lack of consumers' trust. Although trust is an important concept in B2C EC, there is a lack of theory-based empirical research in this area. In this paper, influencing factors are proposed for investigating the nature of trust in the specific context of B2C EC. Thirteen hypotheses are empirically tested. The results show that most of hypotheses are supported except for perceived size, perceived competence, perceived reputation, familiarity and third party recognition. In addition trust was found to have a strong positive effect on intention to purchase. Finally, trust was found to have a mediation effect between on influencing factors and intention to purchase. Implications of these findings are discussed for researchers and practitioners.

• Knowledge Management Research
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• v.14 no.1
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• pp.1-19
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• 2013

Consumers have collected information and sought advices from other consumer through Internet. They could collect information in virtual space (online) not real world, that is Electronic Word of Mouth (eWOM). This study focused on research the factors on effect in Electronic Word-of-Mouth (eWOM) in the open market which is mediate between individuals and online stores. This is an exploratory study for research on finding factors of effect in eWOM. First of all, 5factors are selected from interview with 31 consumers. Then online surveys are conducted and 5 factors are significantly supported. This study is academically new approach on an exploratory study and it could suggest marketers to strategically manage eWOM.

• Language and Information
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• v.19 no.2
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• pp.37-53
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• 2015

It has been widely accepted that Korean -i/ka, known as the nominative marker, can give rise to exhaustivity effect. However, it has been rarely discussed and still remains unclear how and why the particle can convey exhaustivity. The purpose of this paper is to shed light on this issue, based on Kim's (2014) analysis of the function of -i/ka. The main claim is that the exhaustivity expressed by -i/ka is a pragmatic effect derived from the interaction of the function of -i/ka, namely, unique specification, and the existence of alternatives to the denotation of an -i/ka-marked phrase in discourse context. Thus, the nature of the exhaustive implicature induced by -i/ka is not conventional but conversational.

• Korean Management Science Review
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• v.25 no.1
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• pp.149-167
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• 2008

One of characteristics of firms having successfully developed new products is that they are practicing strategic learning, that is, organizational learning for preparing the future. In this context, we attempts to examine the effect of strategic learning on the proficiency of new product development activities and new product outcome, in an empirical way. In addition, we Investigated the moderating effect of new product innovativeness on the relationship among strategic learning, proficiency of new product development activities, and new product outcome. The analysis results show that the strategic learning has a positive impact on both the proficiency of new product development activities and new product outcome. And it was found that the impact of strategic learning on the proficiency of new product development activities is increasing when firms developing new products with high degree of innovativeness. However, the impact of strategic learning on new product outcome was not different according to new product innovativeness. This results shed some insight on the role of strategic learning in the new product development management.

• Journal of Computing Science and Engineering
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• v.1 no.1
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• pp.74-94
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• 2007

Nowadays, sharing data among organizations is often required during the business collaboration. Data mining technology has enabled efficient extraction of knowledge from large databases. This, however, increases risks of disclosing the sensitive knowledge when the database is released to other parties. To address this privacy issue, one may sanitize the original database so that the sensitive knowledge is hidden. The challenge is to minimize the side effect on the quality of the sanitized database so that non-sensitive knowledge can still be mined. In this paper, we study such a problem in the context of hiding sensitive frequent itemsets by judiciously modifying the transactions in the database. Unlike previous work, we consider the quality of the sanitized database especially on preserving the non-sensitive frequent itemsets. To preserve the non-sensitive frequent itemsets, we propose a border-based approach to efficiently evaluate the impact of any modification to the database during the hiding process. The quality of database can be well maintained by greedily selecting the modifications with minimal side effect. Experiments results are also reported to show the effectiveness of the proposed approach.

• Structural Engineering and Mechanics
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• v.51 no.6
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• pp.1005-1016
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• 2014

Roles of reactor internals are to support nuclear fuel, provide insertion and withdrawal channels of nuclear fuel control rods, and carry out core cooling. In case of functional loss of the reactor internals, it may lead to severe accidents caused by damage of nuclear fuel assembly and deterioration of reactor vessel due to attack of fallen out parts. The present study is to examine fluid flows in reactor internals subjected to hydrodynamic loads. In this context, an integrated model was developed and applied to two kinds of numerical analyses; one is to analyze periodic loading effect caused by pump pulsation and the other is to analyze random loading effect employing different turbulent models. Acoustic pressure distributions and flow velocity as well as pressure and temperature fields were calculated and compared to establish appropriate analysis techniques.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.1903-1908
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• 2003

The motion of a small, heavy rigid particle in the shear flow on a stationary wall is investigated in the context of Stokes flow. The lift force proposed by Saffman(1965) and later modified by Mclaughlin(1991) and Mei(1992) is considered in the prediction of the particle motion far away from the wall. Later, the expression of the lift force is modified to take into account the effect of wall(Cherukat and Mclaughlin, 1994). In the analysis the gravity and buoyancy effect are also taken into account. An analytical and numerical results for the terminal velocities and trajectories of the particle after the enough lapse of time are presented.

• The Mathematical Education
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• v.52 no.3
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• pp.335-361
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• 2013

The purpose of this study is to analyze effects on storytelling materials of statistics in the middle school classroom lesson. For this purpose, a story is developed by the Zazkis & Liljedahl's model and applied to the 7th graders of 4 classes in a middle school. After the comparison between 5 hours of storytelling lessons and ordinary lessons, the following research findings are obtained. First, storytelling material brings a positive effect on student's academic achievement. It is also shown by the qualitative analysis that this result was caused by cognition of data observation, data transformation, and unification of data with context. Second, storytelling material brings a positive effect on student's affective attitude. It is also validated by the qualitative analysis that students show the positive change in mathematical value cognition and the interests in the lesson.

• Structural Engineering and Mechanics
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• v.51 no.2
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• pp.199-214
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• 2014

The present investigation is concerned with the effect of two temperatures on functionally graded (FG) nanobeams subjected to sinusoidal pulse heating sources. Material properties of the nanobeam are assumed to be graded in the thickness direction according to a novel exponential distribution law in terms of the volume fractions of the metal and ceramic constituents. The upper surface of the FG nanobeam is fully ceramic whereas the lower surface is fully metal. The generalized two-temperature nonlocal theory of thermoelasticity in the context of Lord and Shulman's (LS) model is used to solve this problem. The governing equations are solved in the Laplace transformation domain. The inversion of the Laplace transformation is computed numerically using a method based on Fourier series expansion technique. Some comparisons have been shown to estimate the effects of the nonlocal parameter, the temperature discrepancy and the pulse width of the sinusoidal pulse. Additional results across the thickness of the nanobeam are presented graphically.