• Title/Summary/Keyword: Mobility Pattern

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Effects of Thorax Mobility Exercise on the Thorax Mobility, Breathing Pattern and Respiratory Capacity in Subject With Restricted Thorax Mobility: A Case Series (가슴 가동성 제한을 가지고 있는 대상자에게 가슴 가동성 운동이 가슴가동성, 호흡패턴 및 호흡량에 미치는 효과: 사례 시리즈)

  • Ha, Sungmin
    • Therapeutic Science for Rehabilitation
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    • v.12 no.2
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    • pp.99-107
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    • 2023
  • Objective : To investigate the effects of thorax mobility exercises on thorax mobility, breathing pattern, and respiratory capacity in subjects with restricted thorax mobility. Methods : Thirteen subjects with restricted thorax mobility participated in this study. Measurement of thorax circumference using a tape measure (difference between inhalation and exhalation), breathing pattern (distance of rib cage elevation during breathing), and respiratory capacity was performed. Paired t-test was used to compare the thorax mobility, breathing pattern, and respiratory capacity between before and after thorax mobility excercise. Statiscal significance was set at .05. Results : There were significant differences in thorax mobility and breathing pattern, but no significant difference in respiratory capacity (p < .05). Conclusion : Based on the results of this study, thorax mobility exercise using the rib mobilization technique is considered to be a method that can improve thorax mobility and normalize abnormal breathing patterns that cause rib cage elevation.

Delay Tolerant Network Routing Algorithm based on the Mobility Pattern of Mobile Nodes (이동 노드의 이동 패턴을 고려한 Delay Tolerant Network 라우팅 알고리즘)

  • So, Sang-Ho;Park, Man-Kyu;Park, Se-Chul;Lee, Jae-Yong;Kim, Byung-Chul;Kim, Dae-Young;Shin, Min-Su;Chang, Dae-Ig;Lee, Ho-Jin
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.4
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    • pp.13-28
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    • 2009
  • Routing protocols in Delay/Disruption Tolerant Networks(DTN) are important to enhance the performance of transmission delay and delivery success ratio. In this paper, we propose an efficient DTN routing algorithm, called "Nobility Pattern based Routing(MPR)", that controls the total number of transferred message copies based on mobility patterns of mobile nodes. We consider a realistic "Levy walk" mobility pattern that has a super-diffusive property which well represents human mobility pattern. We implemented a DTN simulator using ONE simulator for the proposed MPR algorithm and Levy walk mobility pattern. Simulation results show that mobility patterns are very important for accurate evaluation of DTN routing performance, and the proposed MPR enhances the routing performance of delivery delay and success delivery ratio under realistic mobility pattern.

A Fusion of Data Mining Techniques for Predicting Movement of Mobile Users

  • Duong, Thuy Van T.;Tran, Dinh Que
    • Journal of Communications and Networks
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    • v.17 no.6
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    • pp.568-581
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    • 2015
  • Predicting locations of users with portable devices such as IP phones, smart-phones, iPads and iPods in public wireless local area networks (WLANs) plays a crucial role in location management and network resource allocation. Many techniques in machine learning and data mining, such as sequential pattern mining and clustering, have been widely used. However, these approaches have two deficiencies. First, because they are based on profiles of individual mobility behaviors, a sequential pattern technique may fail to predict new users or users with movement on novel paths. Second, using similar mobility behaviors in a cluster for predicting the movement of users may cause significant degradation in accuracy owing to indistinguishable regular movement and random movement. In this paper, we propose a novel fusion technique that utilizes mobility rules discovered from multiple similar users by combining clustering and sequential pattern mining. The proposed technique with two algorithms, named the clustering-based-sequential-pattern-mining (CSPM) and sequential-pattern-mining-based-clustering (SPMC), can deal with the lack of information in a personal profile and avoid some noise due to random movements by users. Experimental results show that our approach outperforms existing approaches in terms of efficiency and prediction accuracy.

Optimal Mobility Management of PCNs Using Two Types of Cell Residence Time (이동 통신망에 있어서 새로운 셀 체류시간 모형화에 따른 최적 이동성 관리)

  • 홍정식;장인갑;이창훈
    • Journal of the Korean Operations Research and Management Science Society
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    • v.27 no.3
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    • pp.59-74
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    • 2002
  • This study investigates two basic operations of mobility management of PCNs (Personal Communication Networks), i.e., the location update and the paging of the mobile terminal. From the realistic consideration that a user either moves through several cells consecutively or stays in a cell with long time, we model the mobility pattern by introducing two types of CRT (Cell Residence Time). Mobility patterns of the mobile terminal are classified Into various ways by using the ratios of two types of CRT. Cost analysis is performed for distance-based and movement-based location update schemes combined with blanket polling paging and selective paging scheme. It is demonstrated that in a certain condition of mobility pattern and call arrival pattern, 2-state CRT model produces different optimal threshold and so, is more effective than IID ( Independently-Identically-Distributed) CRT model. An analytical model for the new CRT model is compact and easily extendable to the other location update schemes.

Cheollik Dress Pattern Development and Wearing Evaluations (철릭 원피스 패턴 개발과 착의 평가)

  • Ha, Ji-Hyun;Kim, Hee-Eun
    • Fashion & Textile Research Journal
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    • v.21 no.5
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    • pp.656-664
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    • 2019
  • This study was to develop the patterns based on the study of commercial Cheollik dress pattern analysis that verify the effects of pattern improvement by performing wearing evaluations. The commercial Cheollik dress pattern analysis was divided into A type composed of a traditional hanbok flat sleeve type and B type composed of western three-dimensional sleeves type. The prototype pattern of A type and prototype pattern of B type were fabricated after modifying and supplementing the pattern on the basis of precedent research. Appearance evaluations and mobility evaluations were also conducted. In the evaluations of the appearance, the prototype pattern in both A type and B type rated better than the control pattern in all items, so it can be judged to be a pattern that creates a better appearance in terms of allowance and design ratio. In the evaluations of the mobility, the prototype pattern was more convenient and a functional pattern with better scores in both A type and B type. If the Cheollik dress prototype patterns developed in this study are distributed, the Cheollik dress will be easy and comfortable to wear as a casual wear, which will help to make dailyization and popularization of Hanbok.

Women's Uniform Shirts' Pattern Alteration by Applying the Work Postures of Flight Attendants (항공기 승무원의 작업 동작을 반영한 여성용 유니폼 셔츠 패턴 개선 방안)

  • Lee, Min-Ji;Chun, Jong-Suk
    • The Research Journal of the Costume Culture
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    • v.19 no.5
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    • pp.1019-1030
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    • 2011
  • The aim of this study was to develop a pattern of flight attendant uniform shirts to provide better comfort for their work postures. Flight attendants' work postures were evaluated to determine the problems of clothing and mobility during their work. The pattern of the flight attendants' uniform shirt was altered by applying dynamic wearing ease(DWE). DWE was calculated from four standardized dynamic postures and a static posture. An experimental garment was made with the altered postures. The researcher redesigned the pattern of the uniform shirts, which minimizes physical limitations in movements. The fit and mobility of the shirts were evaluated. Results of this study are as follows. First, the five representative work postures were selected by "clothing stress" and "repetitiveness." These postures included raised arms, twisting midriff and shoulder postures. Five representative postures were selected by using the ergonomic posture assessment device index(OWAS). Second, the experimental garment was developed by applying DWE across the back and at armhole depth, back length, and side length. Third, the fit and mobility of the experimental garments and the original uniform shirts were compared at the flight working environment set and 5 dynamic body postures of raising arms. The experimental garments made with an altered pattern provided better fit and mobility than the original sample shirts.

QoE-Aware Mobility Management Scheme

  • Kim, Moon
    • Journal of information and communication convergence engineering
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    • v.14 no.3
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    • pp.137-146
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    • 2016
  • In this paper, we introduce a quality of experience (QoE)-provisioning mobility management scheme. The emphasis is on a mobility-aware QoE solution enabling network components to recognize the mobility pattern of an end-user and to prepare a handover in advance. We further focus on an energy-adaptive QoE solution based on the energy profile providing the preferred pattern of energy consumption and an energy preference check engine determining whether the provision of the service that the end-user requested is suitable to QoE or not. Lastly, we concentrate on a network-based intelligent mobility management scheme adopting the calm service and the balance. Consequently, we conclude that the proposed schemes improve the handover latency, QoE metrics, and energy efficiency simultaneously.

Design of a MapReduce-Based Mobility Pattern Mining System for Next Place Prediction (다음 장소 예측을 위한 맵리듀스 기반의 이동 패턴 마이닝 시스템 설계)

  • Kim, Jongwhan;Lee, Seokjun;Kim, Incheol
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.8
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    • pp.321-328
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    • 2014
  • In this paper, we present a MapReduce-based mobility pattern mining system which can predict efficiently the next place of mobile users. It learns the mobility pattern model of each user, represented by Hidden Markov Models(HMM), from a large-scale trajectory dataset, and then predicts the next place for the user to visit by applying the learned models to the current trajectory. Our system consists of two parts: the back-end part, in which the mobility pattern models are learned for individual users, and the front-end part, where the next place for a certain user to visit is predicted based on the mobility pattern models. While the back-end part comprises of three distinct MapReduce modules for POI extraction, trajectory transformation, and mobility pattern model learning, the front-end part has two different modules for candidate route generation and next place prediction. Map and reduce functions of each module in our system were designed to utilize the underlying Hadoop infrastructure enough to maximize the parallel processing. We performed experiments to evaluate the performance of the proposed system by using a large-scale open benchmark dataset, GeoLife, and then could make sure of high performance of our system as results of the experiments.

A Hand-off Technique Using Mobility Pattern in Mobile Internet (모바일 인터넷에서 이동성 패턴을 이용한 핸드오프 기법)

  • Kim, Hwang-Rae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.5
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    • pp.919-925
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    • 2006
  • Mobile IPv6 generates the loss of packets and out of sequencing when hand off, In this paper, We propose a improved hand off techniques using the mobility pattern of mobile nodes. As making group by presetting the moving range of mobile nodes, and putting buffer server in the group, the packet loss and out of packet sequence can be reduced. The proposed method prevents the out of packet sequence in If level which can be happened in the stable state, minimizes the packet re-send in TCP level. In the simulation, the proposed hand off techniques transmits packets efficiently by using the mobility pattern of mobile nodes.

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A study on the determination of the number of mobility cluster (적정 이동군집수 결정에 관한 연구)

  • ;Ham, Sung Hun
    • Journal of the Korean Geographical Society
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    • v.30 no.2
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    • pp.120-131
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    • 1995
  • To analyze mobility patterns, this study used three Constraint (Capability Constraint, Coupling Constraint, Authority Constraint) models which were proposed in Dr. Hagerstrand's Time-space theory. This paper shows that three constraint models have some effects upon mobility by age. In this study, Capability Constraint means a certain special constraint that is what we can't do during proceeding basic natural urges like sleep, fare, etc. Coupling constraint is a physical one. Each person limits the action range for staying on a special place in special time. For instance, students have to stay in school so that they have mobility constraints. Authority Constraint is a social one. When we use urban facilities or traffic, we may be controlled by mobility sphere by an agreement or a social position. It is social agreement that the opening hour of a store, the time table of mass-transportation and a social positional control that the personal income, the standard of education. In this study it has been in a process of determination of the cluster number that degree of influences a social constraint to mobility. Considering the mobility constraint of characteristics of space divides urban and rural, people in urban area have higher mobility rate than in rural area. Resuets of determination of the cluster, show similar mobility pattern. People in urban area are connected verity of mobility which related to urban space structures with determination of cluste-number. That is to say, mobility patterns can be changed by space charactcristics. Constraints by sex and age are also social constraints and they are influenced by mobility patterns. For instance, females at the age of twenties have similar mobility pattern to the same age male but they have sudden changes after thirty's age. Male entertains a similar pattern without restriction of age. That is to say, management by sex as a social constraint affects mobility. To establish more realistic traffie policy, mobility formation should be reflected to the space in a view of social-behavioral science. To embody this, some problems should be investigated as follows. 1. As a problem of methodology, if sufficient samples ensured, we could subdivide clusters and could open up a new method of analyzing the mobility clusters by using the neuro-network. 2. Extracting actions connected with mobility and finding life cycle which is classified by daily cluste-characteristics, suitable counterproposal could be presented to the traific policy.

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