• Architectural research
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• v.16 no.2
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• pp.37-44
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• 2014

Utilizing spaces for awareness could be superficially noble. However, the typology of spaces played an important role in addressing the awareness of translating the messages through tangible forms, which in this context are sculptures. Assuring the efficacy of the typology of the spaces that is compatible with the content is important to ensure its timelessness to the dynamic demographical change of viewers. Therefore, the study proposes an investigation of the efficacy of typology of public urban space; garden that accommodates memorial sculptures. The study intends to analyze the features and flaws of ASEAN Sculpture Garden, as a mediatory role of ASEAN in instilling awareness of unity between ASEAN members to the public. The objective of the study is to analyze the efficacy of the garden to accommodate the rich memorial sculptures. The body of the research is formed by theoretical and case study research. It is projected by three methods; archival research, semi structured interviews and site documentation; direct observations and site visit. The qualitative data then will be analysed using Actor Network theory, keyword coding and site findings. Findings showed that as the main objective of the garden is to exhibit the sculptures, it could be summed up that it has failed to meet the apparent intention based on the site analysis conducted by the researcher. The typology of the space should be able to communicate the project's aims continuously rather than serving the function temporarily. The variables, which are space and time factors are debatable, as the neighboring tourist spot, National Monument residing the wide square managed to attract public attention due to its great efficacy of typological space regardless the time factor. As a conclusion, the typology of space is a huge factor to ensure the park's success.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.386-395
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• 2013

This study examined social relation of cyber sports supporter's community and social capital as time passes. This study selected spectator sports supporters of cyber sports community based on number of number and history of cyber sports supporter. This community is a representative supporter's club of spectator sports. This study utilized 1,848 members accumulated during three month. To analyze data, Netminer 4.0 and social network analysis were used. The conclusion is following: First, social relation of cyber sports supporter's community showed up dynamic change. Second, social capital of cyber sports supporter's community shows Sports events and training schedules, player transfer, manager, record, game watching and TV watching, cheering, cheering uniform and tools, players, teams and clubs, game photos and video, etc. This is the poor-get-poorer and the rich-get-richer phenomenon.

• Journal of KIISE:Software and Applications
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• v.35 no.3
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• pp.137-148
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• 2008

Services system which has been emerging as a new way of application development utilizes services as fundamental units for developing a system. Services system can offer services within web environment as well as the ubiquitous environment where mobile devices are connected to wired or wireless network. In order to provide the functionality that meets users' requirements, the most appropriate service should be selected among candidate services by taking requests and context information into account. Therefore, it is important that the service system should provide services to users by dynamically adapting to users' requirements and context information. Since different users request same functionality with different context information, one service can be differently offered to users so that variability can happen to the service systems. Most researches on context-aware systems have a tendency to solve dynamic adaptation by using more or less ad hoc manner In this paper, we consider various types of services which are performed according to context information as variability and propose adaptable architecture by applying concepts of product line architecture in order to deal with variabilities systematically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2707-2712
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• 2012

Desktop-based computing environment is changed into mobile computing using smart phone and cloud computing providing common behavior and big data by network. Because of this transformation software development and operating environment is changed into heterogeneous distributed environment. As a result, dynamic service composition or changement is required. However, there is few research of techniques supporting service composition or changement dynamically in this situation. This paper suggests a technique for customizing services dynamically of mobile applications based on android platform. Especially we propose a customization technique of service by applying ontology technique to improve sharing and reuse of service. We applied proposed technique into meeting notification system, and obtain that it can be customized into various services such as email, sms, twitter service, and so on.

• Journal of KIISE:Information Networking
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• v.28 no.4
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• pp.517-526
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• 2001

In order to reduce the increasing packet loss rates caused by an exponential increase in network traffic, the IETF(Internet Engineering Task Force) is considering the deployment of active queue management techniques such as RED(Random Early Detection). While active queue management in routers and gateways can potentially reduce total packet loss rates in the Internet, this paper has demonstrated the inherent weakness of current techniques and shows that they are ineffective in preventing high loss rates. The inherent problem with these queue management algorithms is that they all use queue lengths as the indicator of the severity of congestion. In this paper, in order to solve this problem, a new active queue management algorithm called MRED(Modified Random Early Detection) is proposed. MRED computes the packet drop probability based on our heuristic method rather than the simple method used in RED. Using simulation, MRED is shown to perform better than existing queue management schemes. To analyze the performance, we also measure throughput of traffics under the FIFO control, and compared the performance with that of this MRED system.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.128-131
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• 2006

There are two traditional scheduling methods known as PQ and WRR in the DiffServ network, however, these two scheduling methods have some drawbacks. In this paper, we propose an algorithm that can be adopted in WRR scheduler with making up for weak points of PQ and WRR. The proposed algorithm produces the control discipline by the fuzzy theory to dynamically assigns the weight of WRR scheduler with checking the Queue status of each class. To evaluate the performance of the proposed algorithm, We accomplished a computer simulation using NS-2. In result, the proposed algorithm enhances the packet discard rate at the EF class than WRR scheduling method and the AF4 class than PQ scheduling method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1144-1150
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• 2015

Presence information provides various informations about users such as on-line status, current location, network connection method and connection address, and there are two kinds of presence information, SIP(Session Initiation Protocol) based presence information and XMPP(Extensible Massaging and Presence Protocol) based presence information. In this paper, a multiple server architecture that can handle these two kinds of presence information has been proposed. In this architecture, severs are added dynamically according to number of users to provide system scalability, and load of each server can be effectively controlled. In this system, a new XMPP stanza architecture and presence information data format are designed for load control. Furthermore message exchanging procedures between servers and users for dynamic server control has been also suggested. The performance of the proposed system has been analysed by simulation.

• Journal of Advanced Navigation Technology
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• v.24 no.2
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• pp.155-162
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• 2020

Recently, with the development of computer vision and deep learning technology, research on human action recognition has been actively conducted for video analysis, video surveillance, interactive multimedia, and human machine interaction applications. Diverse techniques have been introduced for human action understanding and classification by many researchers using RGB image, depth image, skeleton and inertial data. However, skeleton-based action discrimination is still a challenging research topic for human machine-interaction. In this paper, we propose an end-to-end skeleton joints mapping of action for generating spatio-temporal image so-called dynamic image. Then, an efficient deep convolution neural network is devised to perform the classification among the action classes. We use publicly accessible UTD-MHAD skeleton dataset for evaluating the performance of the proposed method. As a result of the experiment, the proposed system shows better performance than the existing methods with high accuracy of 97.45%.

• Journal of the Korean Institute of Navigation
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• v.12 no.1
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• pp.85-112
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• 1988

From the point of view of safety of life and property at sea and the protection of the marine environment, the Vessel Traffic Management System along the Korea coastal waterway is inevitably introduced. But the establishing priority per area must be evaluated under the restricted budget. In this case, the estimated traffic flow has a major effect on priority evaluation. In the former paper , an algorithm was proposed for estimating the trip distribution between each pair of zones such as harbours and straits. This paper aims to formulate a simulation model for estimating the dynamic traffic flow per area in the Korea coastal waterway. The model consists of the algorithm constrined by the statistical movement of ships and the observed data, the regression analysis and the traffic network evaluations. The processed results of traffic flow except fishing vessel are summarized as follows ; 1) In 2000, the traffic congestions per area are estimated, in proportion of ship's number (tonnage), as Busan area 22.3%(44.5%), Yeosu area 19.8%(11.2%), Wando-Jeju area18.1%(6.8%), Mokpo area 14.9%(9.9%), Gunsan area 9.1%(9.3%), Inchon area 8.1%(7.7%), Pohang area 5.5%(8.5%), and Donghae area 2.2%(2.1%). 2) For example in Busan area, the increment of traffic volume per annum is estimated 4, 102 ships (23 million tons) and the traffic flow in 2000 is evaluated 158, 793 ships (687 million tons). 3) consequently, the increment of traffic volume in Busan area is found the largest and followed by Yeosu, Wando-Jeju area. Also, the traffic flow per area in 2000 has the same order.