• Journal of Distribution Science
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• v.11 no.12
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• pp.51-62
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• 2013

Purpose - A pre-study on service quality-based customer value is conducted with the path structure (perceived value of service quality→customer satisfaction→behavior intention) based on the hierarchical model of service quality including interaction and outcome quality, physical environment quality and the SERVQUAL model of process quality, namely, reliability, responsiveness, assurance, empathy, and tangibles. In addition, customer value in the service industry is studied by dividing into the two-way structure of utilitarian and emotional values. This study classifies customer values of family restaurants through the customer value model based on the 4×4 matrix needs system of Jeon and Kim (2009). It illustrates the path structure of customer value→customer satisfaction→behavior intention targeting college students in order to generalize the customer value system of family restaurants. Research design, data, and methodology - This study established seven hypotheses based on the relationship between each type of customer value (food quality, convenience, social, emotional, interior quality, service encounter, and purchasing) and customer satisfaction, and the relationship between customer satisfaction and behavior intention. The study data were collected from students in the Department of Business and Tourism at Kimpo University. In all, 294 survey papers were returned of the 300 distributed: 253 pieces were used in the final analysis excluding 41 with insufficient and less effective answers. For statistical analysis, the statistics software package SPSS 15.0 was used. Results - The results of the analysis are as follows: first, the customer values of family restaurants are classified by seven customer values: goods quality value, emotional value, convenience value, social value, purchasing value, service encounter value, and inner quality value. Second, emotional value, purchasing value, service encounter value, and inner quality value had positive impact on customer satisfaction. In particular, purchasing value through being included in functional value was not classified in the previous study; however, this study could classify and generalize this value in a new way. Finally, customer satisfaction had a positive impact on behavior intention. This showed that college students had behavior intention - repurchase intention and word-of-mouth - because they could be content with the food items on the menu and the service provided by employees. Conclusions - The main points based on the above-mentioned results are as follows. This study with college students as study subjects could be classified into four dimensions, namely, generic value, usage value, purchasing value, and physical value and seven sub-dimensions on customer values of family restaurants based on a 4×4 matrix needs system. Then, to confirm its generalization, the path structure of customer value→customer satisfaction→behavior intention was verified. While existing pre-studies used simplified values by classifying restaurant values largely as utilitarian value and hedonic value, this study classified various forms of customer value, and that customer value especially could be expanded by adding purchasing value. As a result, it is shown that marketers need to diversify their customer services because this study proved that customer values can be classified in various ways based on customer needs.

• Journal of Navigation and Port Research
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• v.37 no.1
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• pp.63-69
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• 2013

Since most merchant vessels are mainly influenced by the added resistance in an actual sea, they could be navigated more efficiently if this added resistance could be precisely predicted and then effectively reduced. In this paper, we have computed the effective horsepower based on the resistance performance in still water and then calculated the added resistance in regular wave in order to estimate a ship's propulsion performance on a voyage. Firstly, we have performed experiments using a model of KCS in a circulating water channel to estimate the flow characteristics around a container ship and the ship's resistance in still water. Then we have calculated the motion response function in regular wave as well as the values for the increase in resistance, and evaluated the ship's motion performance in waves according to the calculated response function. It was found that the resistance in waves increased because the ship's motion response value became larger as the ship's speed increased in the case of head sea. The effect of the added resistance could be reduced by maneuvering the ship to the encounter angle of $120^{\circ}$ in areas of long wavelengths and to head sea in areas of short wavelengths.

• Bulletin of the Society of Naval Architects of Korea
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• v.21 no.3
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• pp.27-34
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• 1984

When a ship is travelling in following seas, the encounter frequency is reduced to be very low. In that case broaching phenomenon is most likely to occur, and it may be due to wave exciting forces acting on ships. It is thought that the wave exciting forces acting on ships in following seas almost consist of two components. One is hydrostatic force due to Froude-Krylov hypothesis, and the other is hydrodynamic lift force due to orbital motion of water particles below the wave surface. In the present paper, the emphasis is laid upon wave exciting sway force, yaw moment and roll moment acting on ships in following seas. The authers take the case that the component of ship speed in the direction of wave propagation is equal to the wave celerity, i.e., the encounter frequency is zero. Hydrostatic force components are calculated by line integral method on Lewis form plane, and hydrodynamic lift components are calculated by lifting surface theory. Furthermore captive model tests are carried out in regular following waves generated by means of a wave making board. Through the comparison between calculated and measured values, it is confirmed that the wave exciting forces acting on ships in following seas can be predicted in terms of present method to a certain extent.

• Communications for Statistical Applications and Methods
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• v.11 no.2
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• pp.255-264
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• 2004

Due to a computerized data processing, there are many cases when we encounter a huge data set. On the other hand, advances in computing technologies make it possible to deal with a huge data set. One important area is the data mining. In this paper we consider data mining when the dependent variable is binary. The proposed method is to use the poly-class model when the independent variables consists of continuous and discrete variables. An example is provided.

• 한국전산유체공학회:학술대회논문집
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• 2007.04a
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• pp.134-137
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• 2007

Aero-Heating phenomenon is one of the severe problems occurring in high speed missile flight. in the high speed flight, not only stagnation point but also aft body parts encounter high temperature related structural problems. But the phenomenon is not easy to predict accurately because unsteady calculation according to a flight trajectory is needed, and takes much time. In this Paper, a fast and precise scheme is introduced, which calculates heat flow and temperature by simple pressure field prediction on a missile.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.3
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• pp.381-386
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• 1998

We frequently encounter stopped random sums when modelling queueing systems. We also notice occasional mishandling of stopped random sums in the literature. The purpose of this note is to prevent further mistakes by identifying and correcting typical mistakes about stopped random sums. As an example model, we use the two-phase M/G/1 queue with multiple vacations.

• IE interfaces
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• v.5 no.2
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• pp.3-17
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• 1992

In this study, an integrated economic analysis model to analyze the new telecommunication services is developed. This model considers both the technological and managerial aspests altogether with respect to the profit and public benefit criteria. To encounter the various dynamically changing environments and evaluation criteria, multiple criteria decision making (MCDM)techniques are employed. The model consists of three stages; The first stage surveys related formal or informal data, generates analysis alternatives, and performs acceptabillty test in view of marketing. The second stage generates executive alternatives for each acceptable analysis alternative and checks the executionability in view of telecommunication technologies. The third stage performs the final integrated economic analysis including the profitability analysis. This study offers a basis for the future development of decision support system or expert system on the economic analysis of the new telecommunication services.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.1
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• pp.37-45
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• 1992

Common assumption we frequently encounter in early models of software reliability is that no new faults are introduced during the fault removal process. In real life, however, there are situations in which new faults are introducted as a result of imperfect debugging. This study alleviating this assumption by introducting the probability of perfect error-correction is an extension of Littlewood's work. In this model, the system reliability, failure rates, mean time to failure and average failure frequency are obtained. Here, when the probability of perfect error-correction is one, the results appear identical with those of the previous studies. In the respect that the results of previous studies are special cases of this model, the model developed can be considered as a generalized one.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.129-134
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• 2004

Author presented some study with a title of "automatic control for ship collision avoidance system" in previous papers. The paper reported the tread of the study, un-sloved issues and outcome of the study. In this paper, some additional results will be reported. The first is the algorithm of avoidance of group ship that is one of the un-sloved issues. The algorithm is useful when a ship takes an avoiding action toward group fish boats and approaching group merchant vessel. The second is unified model for calculating ship collision risk. The collision risk changes with various meet type of ships. Therefor newly-developed model is suggested to take into account of these situations. Finally simulation is carried out to verify suggested algorithm and model in various ship encounter situations..

• Journal of Sensor Science and Technology
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• v.13 no.1
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• pp.27-34
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• 2004

Camera calibration is an important and fundamental procedure for the application of a vision sensor to 3D problems. Recently many camera calibration methods have been proposed particularly in the area of robot vision. However, the reliability of data used in calibration has been seldomly considered in spite of its importance. In addition, a camera model can not guarantee good results consistently in various conditions. This paper proposes methods to overcome such uncertainty problems of data and camera models as we often encounter them in practical camera calibration steps. By the use of the RANSAC (Random Sample Consensus) algorithm, few data having excessive magnitudes of errors are excluded. Artificial neural networks combined in a two-step structure are trained to compensate for the result by a calibration method of a particular model in a given condition. The proposed methods are useful because they can be employed additionally to most existing camera calibration techniques if needed. We applied them to a linear camera calibration method and could get improved results.