• 제목/요약/키워드: Multiple scenarios

검색결과 394건 처리시간 0.021초

지향성 안테나 기반 경쟁 MAC 프로토콜의 성능 분석 (Performance Analysis of Contention based Directional MAC Protocol)

  • 나웅수;조성래
    • 한국통신학회논문지
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    • 제36권7B호
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    • pp.827-833
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    • 2011
  • 최근 무선 Ad Hoc 환경에서 지향성 안테나를 사용하여 통신을 하는 기술은 초고속 통신을 위하여 각광받고 있는 기술이다. 하지만 지향성 안테나를 사용할 경우에는 난청 현상이 발생하는 문제점이 대두된다. 난청 현상은 한 노드가 전송을 시작하기 위해서 DRTS(Directional Request-to-Send) 프레임을 수신 노드에게 보낼 때, 수신 노드가 다른 노드와의 통신 때문에 DRTS 프레임을 듣지 못하는 현상이다. 이러한 난청 문제를 해결하기 위해서 현재까지 다양한 지향성 안테나를 위한 MAC 프로토콜 (DMAC : Directional MAC)이 제안되어왔다. 본 논문에서는 이러한 DMAC 프로토콜들을 1) 주변노드에 자신의 통신정보를 알려주는 방법, 2) 미래 통신노드를 지정하는 방법, 3) 실제 네트워크 실패를 알아내는 방법으로 크게 3가지로 나누어 보았다. 본 논문에서는 이러한 기법에 대해서 난청문제를 얼마나 효과적으로 해결하는지 다양한 시나리오들을 통하여 분석하고 성능 평가를 통하여 각 기법의 특정 및 네트워크 처리량을 측정해 본다.

A Survey of the Application of Blockchain in Multiple Fields of Financial Services

  • Wang, Yiran;Kim, Dae-Kyoo;Jeong, Dongwon
    • Journal of Information Processing Systems
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    • 제16권4호
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    • pp.935-958
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    • 2020
  • The core value of finance is credit. It can be said that without credit, there can be no finance. The distributed structure of the blockchain and the low-cost trust-building mechanism based on mathematical algorithms provide a new solution and path for solving and optimizing related problems in the financial field. The blockchain technology is applied in the development of the financial industry through consensus mechanisms, smart contracts, and distributed networks. In this research, a comprehensive survey of the blockchain technology is proposed in the development of financial services including equity crowdfunding and credit investigations in inclusive finance, cross-border remittance, Internet financial payment, P2P lending, supply chains finance, and the application of blockchain in the field of anti-money laundering. This paper discusses the role of blockchain in solutions to different issues in the financial field. It also discusses the architectures in different financial service application scenarios from the perspective of the financial trust mechanism and the perspective of the technology and rule change of blockchain participation in financial innovation. Finally, the problems and challenges of blockchain in financial services are discussed, and corresponding solutions are proposed.

퍼베이시브 컴퓨팅 환경에서의 침입탐지용 모바일 에이전트에 대한 연구 (Study on mobile agents for the intrusion detection in pervasive computing environment)

  • 오병진;엄남경;문형진;이상호
    • 한국컴퓨터정보학회논문지
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    • 제11권3호
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    • pp.231-237
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    • 2006
  • 퍼베이시브 컴퓨팅 환경은 미국 표준화 기구인 NIST와 IBM이 함께 추진하고 있는 개념으로써 유비쿼터스와 유사한 의미이나, 개념적으로만 쓰이는 유비쿼터스와는 대조적으로 IBM에서 추진하는 하나의 사업적 상품명으로 취급되고 있다. 이러한 환경에 기초하여 침입탐지용 모바일 에이전트에 대한 연구가 함께 진행 중이다. 이 논문에서는 침입탐지를 위한 모바일 에이전트에 대한 연구를 다룬 후, 침입 탐지에 있어서 다중 모바일 에이전트를 기반으로 이동중의 모바일 에이전트를 이용한 침입 탐지 시나리오를 제안한다. 이를 통해 침입 탐지에 있어서 무결성 이동성의 과정에서 발생하는 침입 탐지 문제를 해결할 수 있었다.

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재밍 공격 상황을 고려한 인지무선 네트워크에서의 랑데뷰 알고리즘들에 관한 분석 (A survey on Rendezvous Algorithms in Cognitive Radio Networks Under Jamming Attacks)

  • 마틴 로빈;김용철
    • 융합보안논문지
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    • 제21권1호
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    • pp.209-219
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    • 2021
  • 허가 된 무선 채널 스펙트럼의 혼잡 문제를 해결하는 방법으로 인지무선네트워크(CRN, Cognitive Radio Networks)가 많은 주목을 받고 있다. 보조 사용자 (SU) 간의 랑데뷰를 보장하기 위해 여러 알고리즘들이 존재하며 점점 더 효율적인 알고리즘들이 개발되어 다양한 시나리오에서 빠른 랑데뷰가 가능해지고 있다. 동시에 개선되고 있는 랑데뷰 알고리즘을 공격하기 위해 여러 재밍 알고리즘들이 개발되고 있다. CRN의 목표는 강력한 알고리즘으로 이러한 재밍 공격을 최소화 하여 랑데뷰를 보장하는 것입니다. 이 논문에서는 다양한 재밍 기술들을 분류하고 잘 알려진 여러 랑데뷰 알고리즘들의 재밍공격 상황하에서의 성능을 분석하였다.

Hot Topic Discovery across Social Networks Based on Improved LDA Model

  • Liu, Chang;Hu, RuiLin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권11호
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    • pp.3935-3949
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    • 2021
  • With the rapid development of Internet and big data technology, various online social network platforms have been established, producing massive information every day. Hot topic discovery aims to dig out meaningful content that users commonly concern about from the massive information on the Internet. Most of the existing hot topic discovery methods focus on a single network data source, and can hardly grasp hot spots as a whole, nor meet the challenges of text sparsity and topic hotness evaluation in cross-network scenarios. This paper proposes a novel hot topic discovery method across social network based on an im-proved LDA model, which first integrates the text information from multiple social network platforms into a unified data set, then obtains the potential topic distribution in the text through the improved LDA model. Finally, it adopts a heat evaluation method based on the word frequency of topic label words to take the latent topic with the highest heat value as a hot topic. This paper obtains data from the online social networks and constructs a cross-network topic discovery data set. The experimental results demonstrate the superiority of the proposed method compared to baseline methods.

유효가뭄지수(EDI)를 이용한 한반도 미래 가뭄 특성 전망 (Projection of Future Changes in Drought Characteristics in Korea Peninsula Using Effective Drought Index)

  • 곽용석;조재필;정임국;김도우;장상민
    • 한국기후변화학회지
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    • 제9권1호
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    • pp.31-45
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    • 2018
  • This study implemented the prediction of drought properties (number of drought events, intensity, duration) using the user-oriented systematical procedures of downscaling climate change scenarios based the multiple global climate models (GCMs), AIMS (APCC Integrated Modeling Solution) program. The drought properties were defined and estimated with Effective Drought Index (EDI). The optimal 10 models among 29 GCMs were selected, by the estimation of the spatial and temporal reproducibility about the five climate change indices related with precipitation. In addition, Simple Quantile Mapping (SQM) as the downscaling technique is much better in describing the observed precipitation events than Spatial Disaggregation Quantile Delta Mapping (SDQDM). Even though the procedure was systematically applied, there are still limitations in describing the observed spatial precipitation properties well due to the offset of spatial variability in multi-model ensemble (MME) analysis. As a result, the farther into the future, the duration and the number of drought generation will be decreased, while the intensity of drought will be increased. Regionally, the drought at the central regions of the Korean Peninsula is expected to be mitigated, while that at the southern regions are expected to be severe.

Effective modelling of borehole solar thermal energy storage systems in high latitudes

  • Janiszewski, Mateusz;Siren, Topias;Uotinen, Lauri;Oosterbaan, Harm;Rinne, Mikael
    • Geomechanics and Engineering
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    • 제16권5호
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    • pp.503-512
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    • 2018
  • Globally there is an increasing need to reduce the greenhouse gas emissions and increase the use of renewable sources of energy. The storage of solar thermal energy is a crucial aspect for implementing the solar energy for space heating in high latitudes, where solar insolation is high in summer and almost negligible in winter when the domestic heating demand is high. To use the solar heating during winter thermal energy storage is required. In this paper, equations representing the single U-tube heat exchanger are implemented in weak form edge elements in COMSOL Multiphysics(R) to speed up the calculation process for modelling of a borehole storage layout. Multiple borehole seasonal solar thermal energy storage scenarios are successfully simulated. After 5 years of operation, the most efficient simulated borehole pattern containing 168 borehole heat exchangers recovers 69% of the stored seasonal thermal energy and provides 971 MWh of thermal energy for heating in winter.

Modeling and cost analysis of zone-based registration in mobile cellular networks

  • Jung, Jihee;Baek, Jang Hyun
    • ETRI Journal
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    • 제40권6호
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    • pp.736-744
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    • 2018
  • This study considers zone-based registration (ZBR), which is adopted by most mobile cellular networks. In ZBR, a user equipment (UE) registers its location area (or zone) in a network database (DB) whenever it enters a new zone. Even though ZBR is implemented in most networks for a UE to keep only one zone (1ZR), it is also possible for a UE to keep multiple zones. Therefore, a ZBR with two zones (2ZR) is investigated, and some mathematical models for 2ZR are presented. With respect to ZBR with three zones (3ZR), several studies have been reported, but these employed computer simulations owing to the complexity of the cases, and there have been no reports on a mathematical 3ZR model to analyze its performance. In this study, we propose a new mathematical model for 3ZR for the first time, and analyze the performance of 3ZR using this model. The numerical results for various scenarios show that, as the UE frequently enters zones, the proposed 3ZR model outperforms 1ZR and 2ZR. Our results help determine the optimal number of zones that a UE keeps, and minimize the signaling cost for radio channels in mobile cellular networks.

An improved Big Bang-Big Crunch algorithm for structural damage detection

  • Yin, Zhiyi;Liu, Jike;Luo, Weili;Lu, Zhongrong
    • Structural Engineering and Mechanics
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    • 제68권6호
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    • pp.735-745
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    • 2018
  • The Big Bang-Big Crunch (BB-BC) algorithm is an effective global optimization technique of swarm intelligence with drawbacks of being easily trapped in local optimal results and of converging slowly. To overcome these shortages, an improved BB-BC algorithm (IBB-BC) is proposed in this paper with taking some measures, such as altering the reduced form of exploding radius and generating multiple mass centers. The accuracy and efficiency of IBB-BC is examined by different types of benchmark test functions. The IBB-BC is utilized for damage detection of a simply supported beam and the European Space Agency structure with an objective function established by structural frequency and modal data. Two damage scenarios are considered: damage only existed in stiffness and damage existed in both stiffness and mass. IBB-BC is also validated by an existing experimental study. Results demonstrated that IBB-BC is not trapped into local optimal results and is able to detect structural damages precisely even under measurement noise.

자율주행 차량의 다 차선 환경 내 차량 추종 경로 계획 (Car-following Motion Planning for Autonomous Vehicles in Multi-lane Environments)

  • 서장필;이경수
    • 자동차안전학회지
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    • 제11권3호
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    • pp.30-36
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    • 2019
  • This paper suggests a car-following algorithm for urban environment, with multiple target candidates. Until now, advanced driver assistant systems (ADASs) and self-driving technologies have been researched to cope with diverse possible scenarios. Among them, car-following driving has been formed the groundwork of autonomous vehicle for its integrity and flexibility to other modes such as smart cruise system (SCC) and platooning. Although the field has a rich history, most researches has been focused on the shape of target trajectory, such as the order of interpolated polynomial, in simple single-lane situation. However, to introduce the car-following mode in urban environment, realistic situation should be reflected: multi-lane road, target's unstable driving tendency, obstacles. Therefore, the suggested car-following system includes both in-lane preceding vehicle and other factors such as side-lane targets. The algorithm is comprised of three parts: path candidate generation and optimal trajectory selection. In the first part, initial guesses of desired paths are calculated as polynomial function connecting host vehicle's state and vicinal vehicle's predicted future states. In the second part, final target trajectory is selected using quadratic cost function reflecting safeness, control input efficiency, and initial objective such as velocity. Finally, adjusted path and control input are calculated using model predictive control (MPC). The suggested algorithm's performance is verified using off-line simulation using Matlab; the results shows reasonable car-following motion planning.