• The Journal of Information Technology and Database
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• v.7 no.1
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• pp.83-97
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• 2000

Internet-based retail business spreads rapidly in Korea. Companies are trying to develop and use various strategic capabilities. The strategies employed by those companies include activities related to the design of shopping sites, market positionsing, facilitation of purchasing process, payment mechanism, and the provision of various consumer services. However, the success of these strategies depends on various environmental factors and internal capability of the companies. Especially, balancing activities performed on-line with those performed off-line is suggested to be essential. In this study, we examined three successful Internet shopping mall companies and compared them to draw useful guidelines for balancing shopping mall strategies - on - line vs. off - line. These three companies were selected because they are all considered sucessful by now, but brought different backgrounds.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.301-312
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• 2020

This study explores the patterns of the self-expression in terms of sharing the diverse pictures according to SNS use focused on the social relationships, and the effects of the diverse online activities on the off-line activity. The study results show that the more SNS use focused on the social relationships, the more sharing the diverse pictures in SNS as a tool of the self-expression. It also shows that the more SNS use focused on the social relationships and the more sharing the pictures with friends, the more active in off-line activity. Both of online and off-line network activities have the statistically significant positive effects on the life satisfaction, which implies that the more active in online and off-line network activities, the higher the life satisfaction.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3530-3538
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• 1999

In this paper, we propose a novel method for feature extraction of off-line handwritten characters recognition based on human optical neural field model. The proposed feature extraction system divide into three parts ; 1) smoothing process, 2) removing boundaries(boundary lines), 3) extracting feature information. The proposed system first removes rough pixels which are easy to occur in handwritten characters. The system then extracts and removes the boundary information which have no influence on characters recognition. Finally, the feature information for off-line handwritten characters recognition is extracted. With PE2 Hangul database, we perform feature extraction experiments for off-line handwritten characters recognition. In the experiment results, the proposed system based on optical neural field shows that can extract the feature information of off-line handwritten characters including curve lines, circles, quadrangles and so on.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.563-572
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• 2002

A performance monitor is indispensable to trace and evaluate performance of a program under distributed processing environment. A performance monitor il classified as off-line and on-line according to its output method. An off-line performance monitor analyzes its performance after a program terminates, and an on-line performance monitor analyzes its one while a program runs. Therefore, the on-line function is essential to analyzing and debugging the program fast. JaNeC, distributed processing environment that is implemented in Java, contains an off-line performance monitor for this. However, this performance monitor may not analyze the program running on JaNeC efficiently. Consequently, this paper explains that an on-line performance monitor is designed and implemented for fast analysis and debugging of the program running on JaNeC. This on-line performance monitor is designed to minimize effects on a program to analyze, and provides various forms of graphic output, to analyze the program effectively. In addition, even after a program terminates, it provides interface with the off-line performance monitor, to analyze again.

• Journal of Distribution Research
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• v.10 no.1
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• pp.59-84
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• 2005

Most of previous studies have proposed representative product categories which are likely to be sold on the on-line based only on the on-line benefits and risks. However, on-line shopping can be perceived another form of distribution channels from the perspectives of consumers. Therefore, in order to identify product categories which have a great potential to be sold on on-line stores, it is necessary to consider the perception and behavior at off-line shopping contexts as well as on on-line shopping circumstances. In this paper, we investigate the consumers' perception and behavior under both on-line and off-line shopping situations and classify them into several groups based on their perceptual and behavioral characteristics. Based on this classification, we empirically examine the product categories selling well on the on-line shopping. The empirical results show that there exist some patterns between distribution channels (on-line and off-line) and product categories. In addition, there are some differences among consumers regarding the perceptions and behaviors at on-line and off-line situations. Consumers who have high preference for on-line shopping tend to buy much wider product categories from on-line.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1509_1510
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• 2009

This paper presents the design and simulation results of ohmic contact RF MEMS silicon switch with a high isolation at high frequencies along with the position of a contact part, initial off-state and intermediate off-state including the state where a contact part is placed right over a signal line of coplanar waveguide (CPW). The ohmic contact part is connected with comb drives made of high resistivity single crystalline silicon. The released contact part is $30{\mu}m$ apart from the edge of signal line on the glass substrate along the lateral direction (x-direction) at initial off-state. The electrostatic force of the comb electrode creates the x-directional movement thus initial state is converted to the intermediate off-state. The initial off-state of the switch results in isolations of -31 dB, -24 dB and reflections of -0.45 dB, -0.67 dB at 50 GHz and 110 GHz, respectively. It shows the isolation degradation when the contact part moves right over the signal line of CPW like an initial off-state of a conventional MEMS switch. The isolations and reflections are -31 dB, -24 dB and -0.50 dB, -1.31 dB at 50 GHz and 110 GHz, respectively at the intermediate off-state.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.159-181
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• 2004

The purposes of this study are following. First, we want to review the relationship between trust and precedent variables including shared value, communication and opportunistic behavior in the on-line and off-line channel. Second, building the relationship among variables from previous research, we develop the research model. Third, based on the empirical analysis, we want to build the relationship among variables. Fourth, based on results of analysis, we want to elicit implications for marketing management from the trust in on-line channel in order to enhance the relationship commitment and customer loyalty. Theoretical implications of this study are following. First, under the multiple channel retailing environment, trust in on-line channel is influenced by the trust in off-line channel that the company is operating. Previous researches couldn't found this result because these researches divided on-line and off-line channel separatedly, Second, under the multiple channel retailing environment, on-line or off-line relational attributes including shared value, opportunistic behavior and communication have a effect on trust or relationship commitment So, shared value, opportunistic behavior and communication are very important variables having a effect on trust and relationship commitment in not only off-line channel but also on-line channel. Third, trust and relationship commitment were important mediate variables in multiple channel environment. This result goes with previous researches in single channel.

• Journal of Korea Multimedia Society
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• v.10 no.12
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• pp.1741-1751
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• 2007

The imprecise computation technique ensures that all time-critical tasks produce their results before their deadlines by trading off the quality of the results for the computation time requirements of the tasks. In the imprecise computation, most scheduling problems of satisfying both 0/1 constraints and timing constraints, while the total error is minimized, are NP-complete when the optional tasks have arbitrary processing times. In the previous studies, the reasonable strategies of scheduling tasks with the 0/1 constraints on uniprocessors and multiprocessors for minimizing the total error are proposed. But, these algorithms are all off-line algorithms. Then, in the on-line scheduling, NORA(No Off-line tasks and on-line tasks Ready upon Arrival) algorithm can find a schedule with the minimum total error. In NORA algorithm, EDF(Earliest Deadline First) strategy is adopted in the scheduling of optional tasks. On the other hand, for the task system with 0/1 constraints, NORA algorithm may not suitable any more for minimizing total error of the imprecise tasks. Therefore, in this paper, an on-line algorithm is proposed to minimize total error for the imprecise real-time task system with 0/1 constraints. This algorithm is suitable for the imprecise on-line system with 0/1 constraints. Next, to evaluate performance of this algorithm, a series of experiments are done. As a consequence of the performance comparison, it has been concluded that IOSMTE(Imprecise On-line Scheduling to Minimize Total Error) algorithm proposed in this paper outperforms LOF(Longest Optional First) strategy and SOF(Shortest Optional First) strategy for the most cases.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1840-1843
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• 1997

The task environment of a robot is changing rapidly and task itself becomes complicated due to current industrial trends of multi-product and small lot size production. A convenient user-interfaced off-line programming(OLP) system is being developed in order to overcome the difficulty in teaching a robot task. Using the OLP system, operators can easily teach robot tasks off-line and verify feasibility of the task through simulation of a robot prior to the on-line execution. However, some task errors are inevitable by kinematic differences between the robot model in OLP and the actual robot. Three calibration methods using image information are proposed to compensate the kinematic differences. These methods compose of a relative position vector method, three point compensation method, and base line compensation method. To compensate a kinematic differences the vision system with one monochrome camera is used in the calibration experiment.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.118-124
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• 2004

In this paper, we present a indirect adaptive control method using a wavelet neural network (WNN) for the control of chaotic nonlinear systems without precise mathematical models. The proposed indirect adaptive control method includes the off-line identification and on-line control procedure for chaotic nonlinear systems. In the off-line identification procedure, the WNN based identification model identifies the chaotic nonlinear system by using the serial-parallel identification structure and is trained by the gradient-descent method. And, in the on-line control procedure, a WNN controller is designed by using the off-line identification model and is trained by the error back-propagation algorithm. Finally, the effectiveness and feasibility of the proposed control method is demonstrated with applications to the chaotic nonlinear systems.