• Title/Summary/Keyword: global networks

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A Theoretical Framework for the Reconstructing Process of Locality (로컬리티 재구성 과정에 대한 이론적 분석틀)

  • Kim, Yong Cheol;Ahn, Young-Jin
    • Journal of the Economic Geographical Society of Korea
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    • v.17 no.2
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    • pp.420-436
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    • 2014
  • Regional communities have recently tried to change themselves in order to cope with rapidly changing circumstances. Giving attention to their strategic responses as well as consequences as a result of their countermeasures, this study attempts to suggest a theoretical framework to analyze the process of locality reconstruction in a dynamic and comprehensive way. To achieve this purpose, after figuring out the previous studies' methodological and theoretical limitations, we suggest that locality should be understood as a outcome of the mutual interactions between local, state, and global scale networks.

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Location-Based Spiral Clustering Algorithm for Avoiding Inter-Cluster Collisions in WSNs

  • Yun, Young-Uk;Choi, Jae-Kark;Yoo, Sang-Jo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.4
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    • pp.665-683
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    • 2011
  • Wireless sensor networks (WSN) consist of a large amount of sensor nodes distributed in a certain region. Due to the limited battery power of a sensor node, lots of energy-efficient schemes have been studied. Clustering is primarily used for energy efficiency purpose. However, clustering in WSNs faces several unattained issues, such as ensuring connectivity and scheduling inter-cluster transmissions. In this paper, we propose a location-based spiral clustering (LBSC) algorithm for improving connectivity and avoiding inter-cluster collisions. It also provides reliable location aware routing paths from all cluster heads to a sink node during cluster formation. Proposed algorithm can simultaneously make clusters in four spiral directions from the center of sensor field by using the location information and residual energy level of neighbor sensor nodes. Three logical addresses are used for categorizing the clusters into four global groups and scheduling the intra- and inter-cluster transmission time for each cluster. We evaluated the performance with simulations and compared it with other algorithms.

Performance Analysis of Proxy-AAA Authentication Scheme in PMIPv6 Networks with Forwarding Mode Supporting (Proxy Mobile IPv6 네트워크에서 포워딩 모드를 지원하는 인증기법의 성능분석)

  • Lee, Seung-Hyun;Shin, Dong-Ryeol;Jeong, Jong-Pil
    • Journal of Internet Computing and Services
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    • v.13 no.1
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    • pp.15-25
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    • 2012
  • Mobile IPv6 (MIPv6) is a host-based protocol supporting global mobility while Proxy Mobile IPv6 (PMIPv6) is a network-based protocol supporting localized mobility. This paper makes its focus on how to reduce the longer delay and extra cost arising from the combination of authentication, authorization and accounting (AAA) and PMIPv6 further. Firstly, a novel authentication scheme (Proxy-AAA) is proposed, which supports fast handover mode and forwarding mode between different local mobility anchors (LMAs). Secondly, a cost analysis model is established based on Proxy-AAA. From the theoretical analysis, it could be noted that the cost is affected by average arrival rate and residence time.

From proteomics toward systems biology: integration of different types of proteomics data into network models

  • Rho, Sang-Chul;You, Sung-Yong;Kim, Yong-Soo;Hwang, Dae-Hee
    • BMB Reports
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    • v.41 no.3
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    • pp.184-193
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    • 2008
  • Living organisms are comprised of various systems at different levels, i.e., organs, tissues, and cells. Each system carries out its diverse functions in response to environmental and genetic perturbations, by utilizing biological networks, in which nodal components, such as, DNA, mRNAs, proteins, and metabolites, closely interact with each other. Systems biology investigates such systems by producing comprehensive global data that represent different levels of biological information, i.e., at the DNA, mRNA, protein, or metabolite levels, and by integrating this data into network models that generate coherent hypotheses for given biological situations. This review presents a systems biology framework, called the 'Integrative Proteomics Data Analysis Pipeline' (IPDAP), which generates mechanistic hypotheses from network models reconstructed by integrating diverse types of proteomic data generated by mass spectrometry-based proteomic analyses. The devised framework includes a serial set of computational and network analysis tools. Here, we demonstrate its functionalities by applying these tools to several conceptual examples.

A Study on Building up the Portal Service to Support Low-Carbon City Planning in Korea (저탄소도시계획지원을 위한 포털서비스의 구축방향)

  • Kim, Han-Jun;Choi, Hong-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2465-2473
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    • 2013
  • This study reviews planning support systems (PSS) in the context of the development processes of urban models(focusing on Land-Use Transport Models, LUTM) and Geographic Information Systems (GIS), both of which are key components of PSS supporting spatial plannings like urban and regional planning. It also explores changing planning environments like increased demands of citizen participation, especially in the environmental sector like global warming, and intensified development of Information technologies based on Internet and mobile networks. As a conclusion this study proposes a prototype of portal service to support low-carbon city planning to mitigate the greenhouse gas as an alternative to supplement or reinforce PSS, reflecting the changing planning environments.

A Dynamic feature Weighting Method for Case-based Reasoning (사례기반 추론을 위한 동적 속성 가중치 부여 방법)

  • 이재식;전용준
    • Journal of Intelligence and Information Systems
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    • v.7 no.1
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    • pp.47-61
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    • 2001
  • Lazy loaming methods including CBR have relative advantages in comparison with eager loaming methods such as artificial neural networks and decision trees. However, they are very sensitive to irrelevant features. In other words, when there are irrelevant features, larry learning methods have difficulty in comparing cases. Therefore, their performance can be degraded significantly. To overcome this disadvantage, feature weighting methods for lazy loaming methods have been studied. Most of the existing researches, however, were focused on global feature weighting. In this research, we propose a new local feature weighting method, which we shall call CBDFW. CBDFW stores classification performance of randomly generated feature weight vectors. Then, given a new query case, CBDFW retrieves the successful feature weight vectors and designs a feature weight vector fur the query case. In the test on credit evaluation domain, CBDFW showed better classification accuracy when compared to the results of previous researches.

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The Study of an Automatic Tracking and Pointing Method and the Regarding System for Facing Two Antennas (상호 대국의 안테나 간 자동 추적 지향 기법 및 장치 연구)

  • Gimm, Hak In;Cho, Sung Hoon;Lee, Chong Hyo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.5
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    • pp.498-509
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    • 2015
  • The existing mobile antenna networks in the military use have been operated by the manual pointing between two antennas. The work presented here describes the study of ATPC(Automatic Tracking and Pointing Control) system between facing antennas and the related tracking and pointing performances. This system is able to automatically track the maximum RSSI(Received Signal Strength Indication) value from the source's RF(Radio Frequency) signal and then control for maintaining the LOS(Line of Sight) between two antennas. The system has three major units; the driving unit consisting of motors, harmonic drives and encoders, the sensor unit with a GPS(Global Positioning System) and AHRS(Attitude and Heading Reference System) and the control unit regulating all the tracking and pointing events. By using PI(Proportional and Integral) controller, this system is able to properly track and point the other antenna under the external disturbance like the wind load. Both the simulation and the experimental works have been successively carried out to prove the performances of the system.

A Model Reference Variable Structure Control based on a Neural Network System Identification for an Active Four Wheel Steering System

  • Kim, Hoyong;Park, Yong-Kuk;Lee, Jae-Kon;Lee, Dong-Ryul;Kim, Gi-Dae
    • Transactions of the Korean Society of Automotive Engineers
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    • v.8 no.6
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    • pp.142-155
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    • 2000
  • A MIMO model reference control scheme incorporating the variable structure theory for a vehicle four wheel steering system(4WS) is proposed and evaluated for a class of continuous-time nonlinear dynamics with known or unknown uncertainties. The scheme employs an neural network to identify the plant systems, where the neural network estimates the nonlinear dynamics of the plant. By the Lyapunov direct method, the algorithm is proven to be globally stable, with tracking errors converging to the neighborhood of zero. The merits of this scheme is that the global system stability is guaranteed and it is not necessary to know the exact structure of the system. With the resulting identification model which contains the neural networks, it does not need higher degrees of freedom vehicle model than 3 degree of freedom model. Th proposed scheme is applied to the active four wheel system and shows the validity is used to investigate vehicle handing performances. In simulation of the J-turn maneuver, the reduction of yaw rate overshoot of a typical mid-size car improved by 30% compared to a two wheel steering system(2WS) case, resulting that the proposed scheme gives faster yaw rate response and smaller side angle than the 2WS case.

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The Acquisition of precise three dimentional topographic information by GPS (GPS에 의한 정밀 3차원 지형정보 획득)

  • 강준묵;이용창;박필호
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.11 no.2
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    • pp.27-34
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    • 1993
  • The construction of the accurate, economic topographic information for a sorts of work and a base facilities of country is one of the very important subjects. In this paper, Global network which include south KOREA and Regional network which include Chung-Nam/Chung-Buk provinces were designed, obtained WGS84 coordinates of control points in networks by GPS. The coefficients of transformation between WGS84 coordinates and Bessel coordinates in consideration of geoid undulations was derived by 7-parameter method. Also, the efficiency of 7-parameter method was proved through successful application of T.M. and U.T.M projection for the precise mapping, and the effectiveness of the aquisition of three dimensional topographic information by GPS was suggested.

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qPALS: Quality-Aware Synchrony Protocol for Distributed Real-Time Systems

  • Kang, Woochul;Sha, Lui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.10
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    • pp.3361-3377
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    • 2014
  • Synchronous computing models provided by real-time synchrony protocols, such as TTA [1] and PALS [2], greatly simplify the design, implementation, and verification of real-time distributed systems. However, their application to real systems has been limited since their assumptions on underlying systems are hard to satisfy. In particular, most previous real-time synchrony protocols hypothesize the existence of underlying fault tolerant real-time networks. This, however, might not be true in most soft real-time applications. In this paper, we propose a practical approach to a synchrony protocol, called Quality-Aware PALS (qPALS), which provides the benefits of a synchronous computing model in environments where no fault-tolerant real-time network is available. qPALS supports two flexible global synchronization protocols: one tailored for the performance and the other for the correctness of synchronization. Hence, applications can make a negotiation flexibly between performance and correctness. In qPALS, the Quality-of-Service (QoS) on synchronization and consistency is specified in a probabilistic manner, and the specified QoS is supported under dynamic and unpredictable network environments via a control-theoretic approach. Our simulation results show that qPALS supports highly reliable synchronization for critical events while still supporting the efficiency and performance even when the underlying network is not stable.