• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.177-180
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• 2001

The quantum effects in the channel of a $\delta$ -doped NMOSFET structures are investigated by solving Schrodinger and Poisson equations self-consistently. According to the scaling of MOSFET structures, electron distributions change by the strong energy quantization. However the presence of a low-doped epitaxial region produces a reduction of the electron effective field for a given charge sheet density and therefore, improves the electron effective mobility. We also focus the quantum-induced threshold voltage shifts, low-field electron effective mobility and gate-to-channel capacitance. The reported results give indications for the fabrication of ultra short MOSFET's.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.6
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• pp.721-729
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• 2016

CCN(Content-Centric Network) enables users to retrieve content using the content's name. Researchers face critical challenges in terms of mobility. Since the routing information is part of the content name, when the provider moves, it is necessary to update all the routers routing information. However, this requires significant costs. In this paper, we propose PNPCCN(Proactive Neighbor Pushing CCN), considering the popularity and rarity of mobility support, for providers in CCN environments. Via simulation studies, we demonstrate that our solutions are effective in terms of shorter numbers of retransmitted Interest packets, and average download times and higher delivery ratios during mobility.

• Journal of the Korean housing association
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• v.10 no.1
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• pp.85-95
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• 1999

The purpose of this study was to analyze the motives of residential mobility and variables which effect it through surveying questionaires of 240 housewives who lived in a tenement house. The analytical methods adopted in this study were factor analysis, one-way ANOVA, Duncan's multiple range test, multiple regression analysis. The SPSS+ program was used in analysis. The major findings were as follows: First, the motives were composed of 6 factors ; housing improvement, housing policy, accumulation of property, comfortable residential environment, educational environment, traffic convenience. Second, there were a significant differences in residential mobility according to socio-demographic and housing variables. Third, in analysis of variables which effect residential mobility, a housing improvement influenced by socio-demographic variables, an comfortable residential environment influenced by housing variables and also family life cycle was a variable that effect factors such as housing policy, accumulation of property, educational environment and traffic convenience.

• Journal of Communications and Networks
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• v.13 no.4
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• pp.385-392
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• 2011

A loop can take place in the process of managing tree topology for mobility management of mobile nodes in infrastructure-based mobile ad hoc networks. The formation of a loop degrades an effective bandwidth of the wireless network by passing an identical message repeatedly within the same loop. Therefore, the loop should be resolved to revert the system back to the normal state. In this paper, we propose a simple and novel mechanism that detects and resolves a loop quickly by tracking the depth of trees. The mobility management approach that employs the loop resolution method is evaluated comparatively with the original tree-based one and the hybrid one. It is shown that the proposed approach far outperforms the other approaches, and it is robust against the rapid changes in network topology.

• Asia Marketing Journal
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• v.24 no.1
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• pp.3-12
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• 2022

Smart city technologies such as transportation and parking systems make our daily lives more efficient and intelligent. However, it is impossible to implement a smart mobility system without analyzing the individual's behavior toward the new technology. This research study attempts to develop a framework for predicting smart mobility antecedents using SEM in primary data analysis. The Technology Acceptance Model (TAM) was the conceptual foundation for this study. To achieve the objectives of the study, one thousand five hundred and twelve effective questionnaires were collected and analyzed using Smart PLS 3.3. The results show that perceived usefulness, perceived ease of use, and perceived risk significantly affect attitudes towards adopting smart mobility systems. Our study provides a comprehensive framework to understand individual-level smart city technology adoption. This study offers implications for policymakers to update existing policies concerning road technology.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.49 no.5
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• pp.77-83
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• 2012

The importance of mobility management is becoming to be one of the upcomming issues to be addressed to provide the converged services and the convergence of the heterogeneous network environments. In this paper, the new user mobility management scheme which can be utilized to model the user's mobility behaviors for interworking with heterogeneous overlay convergent networks under the time-varying radio propagation environment has been proposed. Thus user mobility management scheme based on user mobility model is considered in order to optimize the dwell time of users in the overlay convergent networks. This Mobile IP user mobility management will be very useful to model the user mobility behaviors and can be used to estimate the signaling traffic and frequency spectrum demands for massive data transfer for the heterogeneous overlay convergent networks.

• The KIPS Transactions:PartC
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• v.11C no.2
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• pp.193-202
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• 2004

Handoff if the most Important feature for the user's mobility in a cellular communication system, which is related to resource reservation at nearby cells. For efficient resource reservation, mobility prediction has been reported as an effective means to decrease call dropping probability and to shorten handoff latency in wireless cellular environments. Several early proposed handoff schemes making use of tile user's movement history on a cell-by-cell basis work on the assumption that the user's movements are restricted to the indoor locations such as an office or a building. However, those algorithms cannot be applied to a micro-cell structure or a metropolis with complicated structure of roads. In this paper, to overcome those drawbacks we propose a new mobility prediction algorithm, which stores and uses the history of the user's positions within the current cell to predict the next cell.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.78-87
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• 2015

Content-Centric Networking(CCN) is a new networking paradigm to search for the routing information needed to find a data from the content name, unlike conventional IP networks. In CCN, the mobility management, one of the CCN challenges, is consists of consumer mobility and content provider mobility. Among both, in the case of the content provider mobility, it requires too much overhead and time to update routing information on the corresponding routers. In this paper, we propose Popularity-based Pushing CCN(PoPCoN) which considers the content popularity to support effective mobility of content provider in CCN. Our proposed algorithm shortens content download time for the consumer and reduces the network overhead during mobility as compared to the existing approaches.

• Journal of Digital Contents Society
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• v.17 no.3
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• pp.111-118
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• 2016

Proxy mobile IPv6 (PMIPv6), which is a centralized mobility management protocol, are dependent on a local mobility anchor (LMA) to process all control and data traffics. Therefore, it has serious problems such as the tremendous traffic concentration into the core network and the triangle routing. In this paper, therefore, in order to alleviate these drawbacks, we propose a PMIPv6-based enhanced distributed mobility management scheme considering a user's traffic locality. Performance evaluation results indicate that in most cases, except for when a user's mobility rate is relatively very higher than the traffic rate, the proposed scheme shows better performance result than that of PMIPv6. Besides, it is demonstrated that the proposed scheme can be an effective alternative that can distribute the significant loads on the LMA of the core networks to the MAGs of the edge networks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.3
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• pp.872-885
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• 2015

The rapid increase of smart mobile devices and mobile applications has led to explosive growth of data traffic in cellular network. Offloading data traffic becomes one of the most urgent technical problems. Recent work has proposed to exploit opportunistic communications to offload cellular traffic for mobile data dissemination services, especially for accepting large delayed data. The basic idea is to deliver the data to only part of subscribers (called target-nodes) via the cellular network, and allow target-nodes to disseminate the data through opportunistic communications. Human mobility shows temporal and spatial characteristics and predictability, which can be used as effective guidance efficient opportunistic communication. Therefore, based on the regularity of human mobility we propose NodeRank algorithm which uses the encounter characteristics between nodes to choose target nodes. Different from the existing work which only using encounter frequency, NodeRank algorithm combined the contact time and inter-contact time meanwhile to ensure integrity and availability of message delivery. The simulation results based on real-world mobility traces show the performance advantages of NodeRank in offloading efficiency and network redundant copies.