• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.31-34
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• 2002

There are two kinds of network architectures in the IEEE 802.11:[1] distributed (ad-hoc) or centralized (infrastructure) wireless network. Centralized networks have an access point (base station) that can control the wireless medium access of stations in these networks. The 802.11 MAC protocol of an access point is the same as those of other stations in the contention period. This paper propose a novel MAC protocol of an access point to solve these problems. This MAC protocol adds a new contention-free period called EPCF (Extended PCF) to resolve accumulated data in the queue of an access point. Simulation results show that the new protocol performs better throughput than the 802.11 standard MAC with the less queue memory site requirement.

• Journal of Communications and Networks
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• v.4 no.4
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• pp.302-313
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• 2002

In order to facilitate and to meet the ever increasing demands for the wireless communication in the next decade and also to satisfy the high data rates for the new services, the future development of 3G (IMT2000) and systems beyond 3G (B3G) are foreseen. This article presents the need for these developments and motivations for systems beyond 3G taking into account both strategic and technological challenges to be faced. Moreover, the concepts and potential technologies involved including multiple airinterfaces, efficient spectrum allocation and utilisation for the success of systems B3G are briefly reviewed.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.1-14
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• 2014

For years, businesses have realized that story can persuade customers, familiarize people with the brand or the product, inspire team members and also mean big economic value. Storytelling, however, is regarded as such area depending only on the story director or writer's creativity and thus minimum efforts have been given to information technology development for supporting business storytelling process. This study aims to review existing information technologies for both traditional and relatively new storytelling genres, and regards their implications when applied to business storytelling. As the result of the qualitative study, three kinds of business storytelling supporting system architectures-brainstorming, writing manin story, participatory storytelling-are suggested and discussions on further works are briefly mentioned.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.1053-1056
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• 2000

In general, neural networks based modeling involves trying multiple networks with different architectures and/or training parameters in order to achieve the best accuracy. Only the single best-trained neural network is chosen, while the rest are discarded. However, using only the single best network may never give the best solution in every situation. Many researchers, therefore, propose methods to improve the accuracy of neural networks based modeling. In this paper, the idea of the logical combinations of neural networks is proposed and discussed in detail. The logical combination is constructed by combining the corresponding outputs of the neural networks with the logical “And” node. The experimental results based on simulated data show that the modeling accuracy is significantly improved when compared to using only the single best-trained neural network.

• Journal of the Korean Society of Food Culture
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• v.19 no.1
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• pp.12-29
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• 2004

This paper tried to identify recognition and historical background about western table decoration. For the study, the documentary study would be accomplished. the range of time was during Renaissance, Baroque, Rococo, and Neo-classic period, and the range of space was among Italy, France, and England. Styles for example architectures, interior designs, arts, and sculptures represented their own period, and had great influences on eating habits, and the eating habits would be influent on kitchen utensils. As a results of the fact, the structural elements and decoration of table would be showed different characteristics according to periods of time. Today's food cultural trends consisted of consumption, taste, sense, and consumers' demands become diversified, so the paper would be an important data to understand new designs proper for our own modem sense that cope with modem feeling.

• KIEE International Transaction on Systems and Control
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• v.12D no.1
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• pp.12-17
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• 2002

We propose a new category of neurofuzzy networks- Self-organizing Neural Networks(SONN) with fuzzy polynomial neurons(FPNs) and discuss a comprehensive design methodology supporting their development. Two kinds of SONN architectures, namely a basic SONN and a modified SONN architecture are dicussed. Each of them comes with two types such as the generic and the advanced type. SONN dwells on the ideas of fuzzy rule-based computing and neural networks. Simulation involves a series of synthetic as well as experimental data used across various neurofuzzy systems. A comparative analysis is included as well.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.187-189
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• 2001

In this study, the Web Camera System is implementation and simulated on two different architectures. In the one architecture, a Web-server and Camera-server are implemented on the same system, and the system transfers motion picture which compressed to JPEG file to users on the WWW(World Wide Web). In the other architecture, the Web-server and Camera-server are implemented on different systems, and the motion picture is transferred from the Camera-server to Web-server, and finally to users. In order to compare system performance between two architecture, data traffic is measured and simulated in the unit of byte per second and frame per second.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.8
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• pp.1643-1651
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• 1997

Next generation mobile networks will be demanded to support high speed data and multimedia services in addition to extisting serviced including voice communications. In this paper, we discuss the requirements of the wireless service with broad range of appkications, and present several types of architecture for future bobile network. After a brief comparative analysis, we propose a most practical and feasible one. And also, we discuss possible interworking scenarios between radio access system and intelligent network. In consideration of the selected infrastructure and scenario, we present protocol architectures and basic functions of radio access system. Based on the architecture, we believe that the itegrated system can be realized with such advantages of easy interworking, high feasibility on common services, easy introduction to new services, and unified operation.

• Asia pacific journal of information systems
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• v.10 no.4
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• pp.77-100
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• 2000

Information technology(IT) has become the fourth major resource available to executives to shape and operate government and public organizations. Government and public organizations have managed the other three major resources for years : people, money, and machine. But today IT accounts for more than 10 % of the budget spent in the Korean government and public organizations. From an information resource management point of view, therefore, data and information, hardware and software, telecommunications networks, information systems personnel and other factors are valuable resources that should be managed for the benefit of the entire organization. This paper studied on the model of information resource management(IRM) architecture for government and public organizations and suggested a new generic model for IRM. The model is consisted of four basic architectures and each architecture includes several factors that should be managed for the benefit of the entire government and public organizations.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.398-400
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• 2019

Faced with the increasing demand for image recognition on mobile devices, how to run convolutional neural network (CNN) models on mobile devices with limited computing power and limited storage resources encourages people to study efficient model design. In recent years, many effective architectures have been proposed, such as mobilenet_v1, mobilenet_v2 and PeleeNet. However, in the process of feature selection, all these models neglect some information of shallow features, which reduces the capture of shallow feature location and semantics. In this study, we propose an effective framework based on Feature Pyramid Networks to improve the recognition accuracy of deep and shallow images while guaranteeing the recognition speed of PeleeNet structured images. Compared with PeleeNet, the accuracy of structure recognition on CIFA-10 data set increased by 4.0%.