• Journal of Internet Computing and Services
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• v.9 no.5
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• pp.141-151
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• 2008

In the paper, we analyze the performance of random access channels in multi-service multi-user OFDMA systems. The resource of the random access channels in OFDMA systems are available sub-channels and PN-codes. For given available sub-channels and PN-codes,' we analyze the performance of the random access channels of OFDMA systems in terms of the access success probability, the blocking probability, the access delay and the throughput per each service class. Further, we find the feasible region of the access probability of each service class in which the allowable minimum access success probability, the allowable maximum blocking probability and the allowable maximum access delay are satisfied. The results also can be used to find proper region of the access probabilities of each service class for differentiated quality of service(QoS)s, and for the system operations in multi-service multi-user OFDMA systems.

• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.183-193
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• 2007

Traditionally, a congestion charge based on first-best congestion pricing theory, namely, the theory of marginal cost pricing theory, is equal to the difference between marginal social cost and marginal private cost. It is charged on each link so as to derive a user equilibrium flow pattern to a system optimal one. Based on this theory this paper investigates on the characteristics of first-best congestion pricing of multiple user class on road with variable demand, and presents two methods for analysis of social and spatial equity. For these purposes, we study on the characteristics of first-best congestion pricing derived from system optimal in time and in monetary unit, and analyze equity from this congestion pricing with an example network.

• Journal of computational fluids engineering
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• v.8 no.1
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• pp.30-37
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• 2003

The post-processor for two-dimensional flow visualization has been developed by using OOP(object-oriented programming) of Visual C++. User-friendly GUI(graphic user interface) has been built on the base of MFC(Microsoft Foundation Class). The number and order of variables can be specified by user because the input style is the free-format. The new variable can be defined and added to the variable list by using the various operators and functions.

• Journal of Korean Society of Transportation
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• v.21 no.6
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• pp.77-88
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• 2003

This paper proposes a solution algorithm for solving a multi-class analytical DTA model. In the DTA model, three traveler classes are classified according to different assumptions of traveler's route choice behavior: including fixed route, Stochastic Dynamic User Optimum(SDUO), and Dynamic User Optimum(DUO). To solve this DTA model, variables of link flow and exit flow are represented solely by inflow. The resulting Linear Program(LP) subproblem in the inner iteration is solved as a typical time-dependent shortest route problem over a physical network. Accordingly, the required time-space network expansion in solving DTA models is no longer needed.

• Journal of Korean Library and Information Science Society
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• v.11
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• pp.19-43
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• 1984

There are two broad classes of user studies, in terms of their purposes or a n.0, pplications. One class might be termed basic studies, in which the purpose is to create or obtain knowledge regarding information needs and uses with no particular a n.0, pplication. The second type of study might be termed a n.0, pplied. The aim of second type is preparing standards to evaluate and improve existing information systems or to design new systems. The trends of user study tend toward basic research from a n.0, pplied ones. Furthermore, not only the broad-based studies change with special setting up and subdivided studies, but also the scopes of user study vary social scientist, human scientist, and even common users from limited natural scientists and technologists earlier. The aims of this paper is to summarize continuously pointed problems of user studies and to survey the state of the arts by reviewing the trends of user studies. The major problems of user studies are terminology, conceptualization, and methodology. These terms are essential to this study, and very important to decide the research fields and to select a method of survey, respectively. And in order to predict the user needs, studies of 'information needs' are inevitable instead those of 'information demands' which principally studied till nowadays. On the other hand, to reduce the problems of user studies, it is needed more qualitative studies ever than before and cooperation with other areas, for example, behavioral 'science, psychology, communication science and so forth.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.383-386
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• 2007

Under the circumstance of Ubiquitous Society, service should be provided according to the users' location and environment. When specific service is demanded by user, the technology, which can help to detect whether there are devices performing the requested service in the ubiquitous network, is mandatory. This technology also should guarantee that users have the appropriate service through the most suitable device which is selected by this technology. The priority is an essential factor when multi service are asked by multi users simultaneouslyin the ubiquitous network, The paper focuses on realization of Smart Classroom which provides multi users, such as the professor and the students, with active services based on the Zigbee network and the Mobile platform.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.328-330
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• 2009

1 kW class Polymer Electrolyte Fuel Cell(PEFC) co-generation systems have been developed from 2001 and evaluated for improvement of efficiency, durability and reliability of the system. This paper introduce new version system including with excellent reliability, durability and user friendly applications. Its electrical and overall efficiency showed 35 % and 80 %, respectively, and noise level of the system was less than 45 dB. In addition, this system have various functions such as load change, $N_2$ less purge, low emission and low temperature operation ($-15^{\circ}C$) through development of operation logic. This system was designed for convenient installation in indoor and outdoor due to the compactness of size and the separation of electrical and heat recovery units, which means a user can select the size of heat recovery unit.

• Journal of the Korean Institute of Educational Facilities
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• v.15 no.2
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• pp.16-26
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• 2008

This study investigates the results of planning high school facility in accordance with the scope of the 7th educational curriculum by employing user satisfaction methodology. A high school in On-Yang, built recently to fulfill the objective of the curriculum was investigated in detail. Structured interview survey on both students and teachers were done while observation of the entire facility was carried out at the same time. Based on analysis of the interview and the observation, questions were developed, and subsequently questionnaire surveys, focused on how satisfied the students were regarding the school facility and what improvements could be made, were completed. The findings suggest that the degree of variation in planning class room should be employed considerably, as well as the efficiency of route among the facility blocks. Aspects of the other planning factors such as storey height, location of doors and windows, and equipments regarding the purpose of class room are additionally discussed.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.81-93
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• 2022

As deep learning technology in natural language and visual processing has rapidly developed, collaborative filtering-based recommendation systems using deep learning technology are being actively introduced in the recommendation field. In this study, OCF-GAN, a hybrid collaborative filtering model using GAN, was proposed to solve the one-class and cold-start problems, and its usefulness was verified through performance evaluation. OCF-GAN based on conditional GAN consists of a generator that generates a pattern similar to the actual user preference pattern and a discriminator that tries to distinguish the actual preference pattern from the generated preference pattern. When the training is completed, user preference vectors are generated based on the actual distribution of preferred items. In addition, the cold-start problem was solved by using a hybrid collaborative filtering recommendation method that additionally utilizes user and item profiles. As a result of the performance evaluation, it was found that the performance of the OCF-GAN with additional information was superior in all indicators of the Top 5 and Top 20 recommendations compared to the existing GAN-based recommender. This phenomenon was more clearly revealed in experiments with cold-start users and items.

• Management Science and Financial Engineering
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• v.12 no.2
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• pp.71-85
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• 2006

Collaborative filtering, among other recommender systems, has been known as the most successful recommendation technique. However, it requires the user-item rating data, which may not be easily available. As an alternative, some collaborative filtering algorithms have been developed recently by utilizing the market basket data in the form of the binary user-item matrix. Viewing the recommendation scheme as a two-class classification problem, we proposed a new collaborative filtering scheme using a regularized discriminant analysis applied to the binary user-item data. The proposed discriminant model was built in terms of the major principal components and was used for predicting the probability of purchasing a particular item by an active user. The proposed scheme was illustrated with two modified real data sets and its performance was compared with the existing user-based approach in terms of the recommendation precision.