• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.2
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• pp.58-71
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• 2021

The number of elderly people worldwide is rapidly increasing and the mobility handicapped suffering from inconvenient public transportation service is also increasing. In Korea and abroad, various policies are being implemented to provide high-quality transportation services for the mobility handicapped, and budget support and investment related to mobility facilities are being expanded. The mobility handicapped spends more time for transit transfer than normal users and their satisfaction with transit service is also lower. There exist transfer inconvenience points of the mobility handicapped due to various factors such as long transfer distances, absence of transportation facilities like elevators, escalators, etc. The purpose of this study is to find transfer inconvenience points for convenient transit transfer of the mobility handicapped using Smart card Big data. This study process traffic card transaction data and construct transfer travel data by user groups using smart card big data and analysis of the transfer characteristics for each user group ; normal, children, elderly, etc. Finally, find transfer inconveniences points by comparing transfer patterns between normal users and the mobility handicapped. This study is significant in that it can find transfer inconvenience points for convenient transit transfer of the mobility handicapped using Smart card Big data. In addition, it can be applicated of Smart card Big data for developing public transportation polices in the future. It is expected that the result of this study be used to improve the accessibility of transit transportation for mobility handicapped.

• Journal of Information Processing Systems
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• v.3 no.1
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• pp.1-7
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• 2007

In mobile ad hoc networks, an application scenario requires mostly collaborative mobility behavior. The key problem of those applications is scalability with regard to the number of multicast members as well as the number of the multicast group. To enhance scalability with group mobility, we have proposed a multicast protocol based on a new framework for hierarchical multicasting that is suitable for the group mobility model in MANET. The key design goal of this protocol is to solve the problem of reflecting the node's mobility in the overlay multicast tree, the efficient data delivery within the sub-group with group mobility support, and the scalability problem for the large multicast group size. The results obtained through simulations show that our approach supports scalability and efficient data transmission utilizing the characteristic of group mobility.

• Journal of Communications and Networks
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• v.6 no.4
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• pp.331-342
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• 2004

We study the problem of controlling data overhead of mesh-based multicast ad hoc routing protocols by adaptively adding redundancy to the minimal data overhead multicast mesh as required by the network conditions. We show that the computation of the minimal data overhead multicast mesh is NP-complete, and we propose an heuristic approximation algorithm inspired on epidemic algorithms. In addition, we propose a mobility-aware and adaptive mesh construction algorithm based on a probabilistic path selection being able to adapt the reliability of the multicast mesh to the mobility of the network. Our simulation results show that the proposed approach, when implemented into ODMRP, is able to offer similar performance results and a lower average latency while reducing data overhead between 25 to 50% compared to the original ODMRP.

• Journal of Periodontal and Implant Science
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• v.33 no.1
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• pp.103-111
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• 2003

Tooth mobility is an important part of a periodontal examination and represents a function of the persisting height of the alveolar bone and the width of the periodontal ligament. The purpose of this study was to evaluate the changes of the tooth mobility over 4 week-period following surgical therapy on the periodontal disease. Thirty five patients presenting with moderate periodontal pockets were selected and tooth mobility was measured at weekly intervals using Periotest (Siemens Co., Germany) beginning at the pre-operation examination and ending four weeks following the modified Widman Flap. All data were statistically analyzed using the one-way ANOVA test. The results were obtained as follows; 1. All teeth exhibited the greatest change in mobility at 1 week post-op, mobility generally decreasing with time. 2. Comparison of the weekly tooth mobility data regarding the 1st premolars showed significant differences only between weeks 1 (9.94) and 4 (6.14) (p<0.05). 3. Comparison of the weekly tooth mobility data regarding the 1st molar showed significant changes in the intervals between pre-op (6.49) and week 1 (11.22), pre-op and week 2 (9.37), weeks 1 and 3 (7.65), weeks 1 and 4 (5.62), and weeks 2 and 4 (p<0.05). 4. Comparison of the weekly tooth mobility data regarding the 2nd premolar and 2nd molar showed significant differences between pre-op (6.91, 8.60) and week 1 (11.02, 12.62), weeks 1 and 3 (8.00, 8.05), weeks 3 ad 4 (6.22, 6.71), and weeks 2 (9.34, 11.01) and 4 (p<0.05).

• 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.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.276-280
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• 2008

Many dissemination protocols on the mobility support in wireless sensor networks have been designed based on the assumption that the movement trace of sinks, such as soldiers and fire fighters, is random. However, the mobility of the sinks in many applications, for example, the movement trace of a soldier on operation in a battle field, can be determined in advance. In this paper, we propose a Predictable Mobility-based Data Dissemination protocol that enables data to directly route from source nodes to moving sinks by taking into consideration predictable movement behavior of the sinks. We also show the superiority of the predictable mobility-based data dissemination protocol through the performance comparison with the random mobility-based data dissemination protocols.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4054-4071
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• 2015

Named-Data Networking (NDN) is one of the promising approaches for the Future Internet to cope with the explosion and current usage pattern of Internet traffic. Content provider mobility in the NDN allows users to receive real-time traffic when the content providers are on the move. However, the current solutions for managing these mobile content providers suffer several issues such as long handover latency, high cost, and non-optimal routing path. In this paper, we survey main approaches for provider mobility in NDN and propose an optimal scheme to support the mobile content providers in the large-scale NDN domain. Our scheme predicts the movement of the provider and uses state information in the NDN forwarding plane to set up an optimal new routing path for mobile providers. By numerical analysis, our approach provides NDN users with better service access delay and lower total handover cost compared with the current solutions.

• Journal of the Korean Home Economics Association
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• v.47 no.6
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• pp.79-90
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• 2009

The purpose of this study was to improve the understanding of housing experiences of the married women in Korean sociocultural context and to explore their housing mobility. The grounded theory was adopted in this qualitative study. Data were collected through in-depth interviews with the seventeen married women. The major categories found in the data are 1) the inducement of housing mobility, 2) social constraint and opportunity, 3) the strategy and resource of housing mobility, 4) the intervening conditions, and 5) self-evaluation of their own housing life history. People construct their housing life history toward home ownership. There are a few factors to induce housing mobility, and social constraints and opportunity have an effect on obtaining home ownership. They utilize the diverse strategy and resource to solve their housing matter. Through interview, it is founded that they evaluate their housing career in the light of their life through interview.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.211-221
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• 2016

The human spatial mobility information is in high demand in various businesses; however, there are only few studies on human mobility because spatio-temporal data is insufficient and difficult to collect. Now with the spread of smartphones and the advent of social networking services, the spatio-temporal data began to occur on a large scale, and the data is available to the public. In this work, we compared the movement behavior of residents and tourists by using geo-tagged tweets which contain location information. We chose Seoul to be the target area for analysis. Various creative concepts and analytical methods are used: grid map concept, cells visited concept, reverse geocoding concept, average activity index, spatial mobility index, and determination of residents and visitors based on the number of days in residence. Conducting a series of analysis, we found significant differences of the movement behavior between local residents and tourists. We also discovered differences in visiting activity according to residential countries and used applications. We expect that findings of this research can provide useful information on tourist development and urban development.

• ETRI Journal
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• v.45 no.4
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• pp.603-614
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• 2023

Advancements in remote medical technologies and smart devices have led to expectations of contactless rehabilitation. Conventionally, rehabilitation requires clinicians to perform routine muscle function assessments with patients. However, assessment results are difficult to cross-reference owing to the lack of a gold standard. Thus, the application of remote smart rehabilitation systems is significantly hindered. This study analyzes the factors affecting the real-time evaluation of muscle function based on biometric sensor data so that we can provide a basis for a remote system. We acquired real clinical stroke patient data to identify the meaningful features associated with normal and abnormal musculature. We provide a system based on these emerging features that assesses muscle functionality in real time via streamed biometric signal data. A system view based on the amount of data, data processing speed, and feature proportions is provided to support the production of a rudimentary remote smart rehabilitation system.