• 제목/요약/키워드: RA scheme

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프록시 모바일IPv6 네트워크에서 기능위임자 지원을 통한 비용효과적인 이동성관리 기법 (Cost-Effective Mobility Management Scheme in Proxy Mobile IPv6 Networks with Function Distributor Support)

  • 나도경;정종필
    • 한국인터넷방송통신학회논문지
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    • 제12권1호
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    • pp.97-107
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    • 2012
  • 점차 인터넷이 다양하고 복잡해지고 사용자의 편리성 요구가 많고 다양해지고 있다. 사용자의 요구를 충족시키기 위해 미래의 인터넷을 어떻게 디자인 하는 것인지 그리고 이동성 관리는 고려되어야 될 메인 이슈중의 하나로 분산 시스템 구조에 방해가 되는 비용 비효율성 결과가 발생한다. 이 논문에서 우리는 미래의 모바일 인터넷 구조에 적용 가능한 새로운 기능-분산 이동성 관리 기술을 제안한다. 더불어 다양한 분석적 기법을 적용하여, 제안한 기능분산 이동성 시스템은 위치 업데이트 비용과 패킷 전송 비용 등의 비용 분석에서 우수한 성능을 보여준다.

실시간 비디오 스트림의 공정성 개선를 위한 TCP 친화적 하이브리드 혼잡제어기법 (A TCP-Friendly Congestion Control Scheme using Hybrid Approach for Enhancing Fairness of Real-Time Video)

  • 김현태;양종운;나인호
    • 한국지능시스템학회논문지
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    • 제14권3호
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    • pp.285-289
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    • 2004
  • 최근 인터넷의 발전으로 디지털 오디오 및 비디오와 같은 멀티미디어 스트림에 대한 요구가 증가하고 있다. 이러한 멀티미디어 스트리밍을 UDP로 전송할 경우 TCP와 같은 혼잡제어를 수행하지 않기 때문에 동일한 전송경로의 TCP 트래픽 궁핍을 일으켜 혼잡붕괴 및 막대한 전송지연을 초래한다. 이러한 문제점으로 인하여 실시간 멀티미디어 스트림의 전송지연과 혼잡제어를 위한 새로운 전송기법과 프로토콜에 대한 다각적인 연구가 수행되고 있다. TCP 친화적 혼잡제어 기법은 크게 일반적인 혼잡윈도우 관리기능을 이용하는 윈도우 기반 혼잡제어와 TCP 모델링 방정식 등을 이용하여 전송율을 직접 조절하는 율 기반 혼잡제어로 나눌 수 있다. 본 논문은 윈도우 기반과 율 기반을 복합적으로 다룬 하이브리드형 TCP-friendly 혼잡제어 기법에서 Square-root 혼잡회피 알고리즘을 제안하였으며, NS를 사용하여 제안한 TEAR의 성능을 실험하였다. 실험을 통하여 제안한 기법의 적용으로 TEAR의 안정성을 개선할 수 있음을 보였다.

한옥의 전통적 요소를 도입한 한국형 아파트 실내디자인의 표현 경향에 관한 연구 - 한국 브랜드 아파트에 적용된 사례를 중심으로 - (A Study on Interior Design Expressional Tendency of Korean style Apartments introducing Traditional Hanok Factors - Focusing on the Cases applied to Korean Brand-name Apartments -)

  • 임보라;최상헌
    • 한국실내디자인학회논문집
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    • 제25권3호
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    • pp.121-128
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    • 2016
  • Focusing on the cases applied to korean brand-name apartments In 1960s, economical growth and introduction of western-type cultures led to a boom of apartment construction. After internationalization'in 1980s through Olympic games in 1988, korean culture has attracted attention and individual life quality has been improved. Since 1990s, changes in personal life style has affected the housing culture and the construction companies started moving from quantitative supply to developing their own differential characteristics. Differentiation scheme triggered by construction companies since mid-1990s mainly focused on various ideas for space deployment. Space plans include such things as a private ground, a kitchen in the south, etc. while interior plans include to provide selection of the korean traditional style, natural or casual one. 'korean traditional style' apartment is one of such theme of the brand-named apartment. Interests on 'Tradition' can be broken down into a social trend and media trend. Firstly, the former includes the designation of Bukchon as a reserving area, one of the governmental 'Hanok Survival Program', and traditional building promotion scheme on the basis of construction policy plans. Secondly, the latter covers the interests which attract through the media showing oriental cosmetics, korean culture export via Hallyu, popularity of korean dramas, etc. Thus, it seems worth studying on the apartments with traditional factors. And also, this study aims to setup the concept and trends of korean traditional style apartments through the interior expression on the korean-factor space developed by brand-name apartments so that it could correct such false knowledge out of misunderstood concept of traditional space which results from simple decoration or structure type not accompanying Korean emotion or spirit rendered by some misleading media.

무선 센서 네트워크에서 데이터 수집의 정확성 향상을 위한 Delta 기반의 데이터 병합기법 (A Delta-based Data Aggregation Scheme for Enhancing the Correctness of Data Aggregation in Wireless Sensor Networks)

  • 김변곤;유태영;나인호
    • 한국정보통신학회논문지
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    • 제11권4호
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    • pp.840-845
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    • 2007
  • 무선 센서 네트워크에서 효율적인 데이터 처리와 신속한 전송을 위해 사용되는 미들웨어는 순간적인 데이터 밀집현상으로 발생하는 중간 노드의 데이터 손실 문제를 해결해야한다. 본 논문에서는 계산 능력, 소비 전력 등 극히 한정된 자원만을 사용하여 데이터를 전달해야 하는 무선 센서 네트워크 환경에서 수집된 데이터의 효율성 및 정확성을 향상시킬 수 있는 Delta-Average 기법을 제시하였다. 제안된 기법을 통해 데이터의 상이성과 평균화 방식을 이용함으로써 순간적인 데이터 밀집현상으로부터 중복된 데이터에 대한 불필요한 전송을 방지하면서 정확성을 높이도록 하였다. 마지막으로 제안된 기법의 성능을 평가하기 위해 TinyDB에서 TOSSIM 시뮬레이션을 수행하였으며 성능분석 결과를 통해 데이터 정확성이 향상되었음을 검증하였다.

5G 및 B5G 네트워크에서 그래프 신경망 및 강화학습 기반 최적의 VNE 기법 (Graph Neural Network and Reinforcement Learning based Optimal VNE Method in 5G and B5G Networks)

  • 박석우;문강현;정경택;나인호
    • 스마트미디어저널
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    • 제12권11호
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    • pp.113-124
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    • 2023
  • 5G 및 B5G(Beyond 5G) 네트워크의 등장으로 기존 네트워크 한계를 극복할 수 있는 네트워크 가상화 기술이 주목받고 있다. 네트워크 가상화의 목적은 효율적 네트워크 자원의 활용과 다양한 전송요구 서비스에 대한 솔루션을 제공하기 위함이다. 이와 관련하여 여러 가지 휴리스틱 기반의 VNE 기법이 연구되고 있으나 네트워크 자원할당 및 서비스의 유연성이 제한되는 문제점을 지니고 있다. 본 논문에서는 다양한 응용의 서비스 요구사항을 충족하기 위해 GNN 기반의 네트워크 슬라이싱 분류 기법과 최적의 자원할당을 위한 RL 기반 VNE 기법을 제안한다. 제안된 기법에서는 Actor-Critic 네트워크를 이용하여 최적의 VNE를 수행한다. 또한 성능 평가를 위해 제안된 기법과 기존의 Node Rank, MCST-VNE, GCN-VNE 기법과의 성능을 비교분석하고 서비스 수용률 제고 및 효율적 자원 할당 측면에서 성능이 향상됨을 보인다.

전시 컨벤션 산업의 유비쿼터스 기술 응용 (Ubiquitous Application in Exhibition and Convention Industry)

  • 이상준;나종회
    • 디지털융복합연구
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    • 제6권4호
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    • pp.165-176
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    • 2008
  • The exhibition and convention industry offers facilities and services required to host expositions and conferences. Currently, it has been greatly esteemed as a promising industry because it can produce a higher added value and maintain a pure environment at the same time as an aggregate of service industries. Like other industries, the need of digitalization and information system in the exhibition and convention industry makes it introduce ERP and MIS and nowadays ubiquitous related model projects are ongoing. In this paper, we conduct researches regarding the systematic introduction of ubiquitous related technologies through the service and information system identification of exhibition and convention industry, and analysis of value chain and critical success factor. We consider RFID, ZigBee and mobile related technologies as the ubiquitous related technology types and select the exhibition witness and the maintenance of facilities as the area of related technologies introduction. In addition, we propose a scheme used to analyze and solve the problems which could be occurred when ubiquitous related technologies are applied. The results of this paper could be used as a policy to nourish exhibition and convention industry, and a guideline of the host organizations.

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내부자유도를 갖는 차분래티스볼츠만 모델에 의한 에지톤의 수치계산 (Numerical Simulation of Edge Tone by Finite Difference Lattice Boltzmann Model with Internal Degree of Freedom)

  • 강호근;김은라;오세경
    • Journal of Advanced Marine Engineering and Technology
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    • 제29권8호
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    • pp.929-937
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    • 2005
  • A lattice BGK model based on a finite difference scheme with an internal degree of freedom is employed and it is shown that a diatomic 9as such as air is successfully simulated In a weak compressive wane problem and Coutte flow, the validity and characteristics of the applied model are examined. With the model. furthermore. we present a 2-dimensional edge tones to predict the frequency characteristics of discrete oscillations of a jet-edge feedback cycle by the FDLB model (I.D.F FDLBM) in which any specific heat ratio $\gamma$ can be chosen freely. The jet is chosen long enough in order to guaranteed the Parabolic velocity profile of a jet at the outlet. and the edges have of an angle of $\alpha$=$23^{0}$ and $20^{0}$. A sinuous instability wane with real frequency resulting from Periodic oscillation of the jet around the edge is propagated on the upper and lower of wedge.

Speckle Noise Reduction and Edge Enhancement in Ultrasound Images Based on Wavelet Transform

  • Kim, Yong-Sun;Ra, Jong-Beom
    • 대한의용생체공학회:의공학회지
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    • 제29권2호
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    • pp.122-131
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    • 2008
  • For B-mode ultrasound images, we propose an image enhancement algorithm based on a multi-resolution approach, which consists of edge enhancing and noise reducing procedures. Edge enhancement processing is applied sequentially to coarse-to-fine resolution images obtained from wavelet-transformed data. In each resolution, the structural features of each pixel are examined through eigen analysis. Then, if a pixel belongs to an edge region, we perform two-step filtering: that is, directional smoothing is conducted along the tangential direction of the edge to improve continuity and directional sharpening is conducted along the normal direction to enhance the contrast. In addition, speckle noise is alleviated by proper attenuation of the wavelet coefficients of the homogeneous regions at each band. This region-based speckle-reduction scheme is differentiated from other methods that are based on the magnitude statistics of the wavelet coefficients. The proposed algorithm enhances edges regardless of changes in the resolution of an image, and the algorithm efficiently reduces speckle noise without affecting the sharpness of the edge. Hence, compared with existing algorithms, the proposed algorithm considerably improves the subjective image quality without providing any noticeable artifacts.

비고유 특징을 갖는 의미정보를 이용한 지상 자율이동체 측위 기법 (Autonomous Ground Vehicle Localization Filter Design Using Landmarks with Non-Unique Features)

  • 김찬영;홍다니엘;나원상
    • 전기학회논문지
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    • 제67권11호
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    • pp.1486-1495
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    • 2018
  • This paper investigates the autonomous ground vehicle (AGV) localization filter design problem under GNSS-denied environments. It is assumed that the given landmarks do not have unique features due to the lack of a prior knowledge on them. For such case, the AGV may have difficulties in distinguishing the position measurement of the detected landmark from those of other landmarks with the same feature, hence the conventional localization filters are not applicable. To resolve this technical issue, the localization filter design problem is formulated as a special form of the data association determining whether the detected feature is actually originated from which landmark. The measurement hypotheses generated by landmarks with the same feature are evaluated by the nearest neighbor data association scheme to reduce the computational burden. The position measurement corresponding to the landmark with the most probable hypothesis is used for localization filter. Through the experiments in real-driving condition, it is shown that the proposed method provides satisfactory localization performance in spite of using non-unique landmarks.

Detection of Multiple Salient Objects by Categorizing Regional Features

  • Oh, Kang-Han;Kim, Soo-Hyung;Kim, Young-Chul;Lee, Yu-Ra
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.272-287
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    • 2016
  • Recently, various and effective contrast based salient object detection models to focus on a single target have been proposed. However, there is a lack of research on detection of multiple objects, and also it is a more challenging task than single target process. In the multiple target problem, we are confronted by new difficulties caused by distinct difference between properties of objects. The characteristic of existing models depending on the global maximum distribution of data point would become a drawback for detection of multiple objects. In this paper, by analyzing limitations of the existing methods, we have devised three main processes to detect multiple salient objects. In the first stage, regional features are extracted from over-segmented regions. In the second stage, the regional features are categorized into homogeneous cluster using the mean-shift algorithm with the kernel function having various sizes. In the final stage, we compute saliency scores of the categorized regions using only spatial features without the contrast features, and then all scores are integrated for the final salient regions. In the experimental results, the scheme achieved superior detection accuracy for the SED2 and MSRA-ASD benchmarks with both a higher precision and better recall than state-of-the-art approaches. Especially, given multiple objects having different properties, our model significantly outperforms all existing models.