• Title/Summary/Keyword: Weighted Network

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SGOSST Mechanism for Quality of Service In Network (네트워크 QoS를 위한 SGOSST 메커니즘)

  • Kim, In-Bum
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.9
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    • pp.107-114
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    • 2011
  • Because of boost of communications devices furnishing diverse services and rapid expansion of mobile business, good use and management of the existing network system become very important. Also, offering service corresponding with user communication requirement grades which vary widely in each person, is vital for communication service provider. In this paper, SGOSST, a mechanism of efficient network construction with minimum cost for network QoS is proposed. In experiments, though spending 252.97% more execution times, our SGOSST QoS network consumed 5.11% less connecting costs than the network constructed by weighted minimum spanning tree method. Therefore our mechanism can work well for efficient operation and service providing in the network formed with users and communication devices of various service requirement grade as smart/mobile equipment.

Analyzing the Network of Academic Disciplines with Journal Contributions of Korean Researchers (연구자의 투고 학술지 현황에 근거한 국내 학문분야 네트워크 분석)

  • Lee, Jae-Yun
    • Journal of the Korean Society for information Management
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    • v.25 no.4
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    • pp.327-345
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    • 2008
  • The main purposes of this study are to construct a Korean science network from journal contributions data of Korean researchers, and to analyze the structure and characteristics of the network. First of all, the association matrix of 140 scholarly domains are calculated based on the number of contributions in common journals, and then the Pathfinder network algorithm is applied to those matrix. The resulting network has several hubs such as 'Biology', 'Korean Language & Linguistics', 'Physics', etc. The entropy formula and several centrality measures for the weighted networks are adopted to identify the centralities and interdisciplinarity of each scholarly domain. In particular, the date hubs, which have several weak links, are successively distinguished by local and global triangle betweenness centrality measures.

A Weighted Scheduling Mechanism to Reduce Multicast Packet Loss in IPTV Service over EPON

  • Kwon, Young-Hwan;Choi, Jun-Kyun;Choi, Seong-Gon;Um, Tai-Won;Jong, Sang-Gug
    • ETRI Journal
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    • v.31 no.4
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    • pp.469-471
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    • 2009
  • This letter proposes a weighted scheduling mechanism for Internet protocol television (IPTV) to improve the loss performance of multicast transmission over an Ethernet passive optical network (EPON). We propose a new weight policy from the number of multicast receivers to proportionally allocate the downstream bandwidth of IPTV traffic. The proposed mechanism is used in an optical line terminal to decrease lost packets of favorite IPTV services because the lost multicast packets are proportional to the number of receivers. The total proportion of lost multicast packets is reduced by up to 73% in an EPON.

Adaptive-Weighted Scheduling for Emergency Data Service (긴급 데이터 서비스를 위한 Adaptive-Weighted 스케쥴링)

  • Jeong, Hyun-Seok;Kim, Min-Woo;Lee, Byung-Jun;Kim, Kyoung-Tae;Youn, Hee-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.209-210
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    • 2018
  • 본 논문에서는 IIoT 환경에서 효율적인 긴급 데이터 패킷 처리를 위한 스케쥴링 방식을 제안한다. 이는 weighted round robin 스케쥴링에 기반하고, 비선점형 시스템에 적용하는 방식으로 처리한다. 긴급 데이터의 평균 큐 사이즈에 따라 적응형으로 중요도를 조절함으로써 최적화시킨다. 이는 적은 패킷 손실률과 작은 딜레이로 이어진다. 이 적응형 스케쥴링 방식은 갑작스런 처리량의 변화에 많은 패킷 손실률과 딜레이 증가량 없이 대처하는 것에 효율적인 해결책이 될 것으로 기대된다.

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Occlusion Robust Military Vehicle Detection using Two-Stage Part Attention Networks (2단계 부분 어텐션 네트워크를 이용한 가려짐에 강인한 군용 차량 검출)

  • Cho, Sunyoung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.4
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    • pp.381-389
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    • 2022
  • Detecting partially occluded objects is difficult due to the appearances and shapes of occluders are highly variable. These variabilities lead to challenges of localizing accurate bounding box or classifying objects with visible object parts. To address these problems, we propose a two-stage part-based attention approach for robust object detection under partial occlusion. First, our part attention network(PAN) captures the important object parts and then it is used to generate weighted object features. Based on the weighted features, the re-weighted object features are produced by our reinforced PAN(RPAN). Experiments are performed on our collected military vehicle dataset and synthetic occlusion dataset. Our method outperforms the baselines and demonstrates the robustness of detecting objects under partial occlusion.

Research for Gravity Measurements Using CG-5 Autograv System and Network Adjustment (CG-5 상대중력계를 이용한 중력관측 및 중력망조정에 관한 연구)

  • He, Huang;Yun, Hong-Sic;Lee, Dong-Ha
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.1
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    • pp.713-722
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    • 2009
  • Gravity measurement can determine the earth gravitational field, also is the fundamental to the research of earth gravitational field, geodesy and geodynamic, vertical movement of the crust, geoid surface, sea level and climate etc. Recently, National Geographic Information Institute (NGII) introduced FG-5 absolute gravity meter in order to lay a foundation for establishment of Absolute Gravity Network, and furthermore NGII plan to construct about 1,200 multi dimensional and function Unified Control Points(UCP) in nationwide. It will play an important role in development of high accuracy geoid model in South Korea. This paper explains the fundamental theory and method of relative gravity measurement, surveys the relative gravity of 21 stations using latest Scintrex CG-5 relative gravimeter. In addition, it calculates gravity values, compare and analysis gravity survey results using datum-free adjustment and weighted constraint adjustment. The results indicate show that datum-free and weighted constraint adjustment methods are available to determine high accuracy gravity achievement, datum-free method is more advantage than weighted constraint adjustment.

Detecting Ventricular Tachycardia/Fibrillation Using Neural Network with Weighted Fuzzy Membership Functions and Wavelet Transforms (가중 퍼지소속함수 기반 신경망과 웨이블릿 변환을 이용한 심실 빈맥/세동 검출)

  • Shin, Dong-Kun;Zhang, Zhen-Xing;Lee, Sang-Hong;Lim, Joon-S.;Lee, Jung-Hyun
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.19-26
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    • 2009
  • This paper presents an approach to classify normal and ventricular tachycardia/fibrillation(VT/VF) from the Creighton University Ventricular Tachyarrhythmia Database(CUDB) using the neural network with weighted fuzzy membership functions(NEWFM) and wavelet transforms. In the first step, wavelet transforms are used to obtain the detail coefficients at levels 3 and 4. In the second step, all of detail coefficients d3 and d4 are classified into four intervals, respectively, and then the standard deviations of the specific intervals are used as eight numbers of input features of NEWFM. NEWFM classifies normal and VT/VF beats using eight numbers of input features, and then the accuracy rate is 90.1%.

Comparison of the performance of classification algorithms using cytotoxicity data (세포독성 자료를 이용한 분류 알고리즘 성능 비교)

  • Yoon, Yeochang;Jeung, Eui Bae;Jo, Na Rae;Ju, Su In;Lee, Sung Duck
    • The Korean Journal of Applied Statistics
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    • v.31 no.3
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    • pp.417-426
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    • 2018
  • An alternative developmental toxicity test using mouse embryonic stem cell derived embryoid bodies has been developed. This alternative method is not to administer chemicals to animals, but to treat chemicals with cells. This study suggests the use of Discriminant Analysis, Support Vector Machine, Artificial Neural Network and k-Nearest Neighbor. Algorithm performance was compared with accuracy and a weighted Cohen's kappa coefficient. In application, various classification techniques were applied to cytotoxicity data to classify drug toxicity and compare the results.

Network Betweenness Centrality and Passenger Flow Analysis of Seoul Metropolitan Subway Lines (서울 수도권 지하철망의 호선별 망 매개 중심성과 승객 흐름 분석)

  • Lee, Kang Won;Lee, Jung Won
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.2
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    • pp.95-104
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    • 2018
  • Using network betweenness centrality we attempt to analyze the characteristics of Seoul metropolitan subway lines. Betweenness centrality highlights the importance of a node as a transfer point between any pairs of nodes. This 'transfer' characteristic is obviously of paramount importance in transit systems. For betweenness centrality, both traditional betweenness centrality measure and weighted betweenness centrality measure which uses monthly passenger flow amount between two stations are used. By comparing traditional and weighted betweenness centrality measures of lines characteristics of passenger flow can be identified. We also investigated factors which affect betweenness centrality. It is the number of passenger who get on or get off that significantly affects betweenness centrality measures. Through correlation analysis of the number of passenger and betweenness centrality, it is found out that Seoul metropolitan subway system is well designed in terms of regional distribution of population. Four measures are proposed which represent the passenger flow characteristics. It is shown they do not follow Power-law distribution, which means passenger flow is relatively evenly distributed among stations. It has been shown that the passenger flow characteristics of subway networks in other foreign cities such as Beijing, Boston and San Franciso do follow power-law distribution, that is, pretty much biased passenger flow traffic characteristics. In this study we have also tried to answer why passenger traffic flow of Seoul metropolitan subway network is more homogeneous compared to that of Beijing.

Advanced Stability Distributed Weighted Clustering Algorithm in the MANET (모바일 에드혹 네트워크에서 안정성을 향상시킨 분산 조합 가중치 클러스터링 알고리즘)

  • Hwang, Yoon-Cheol;Lee, Sang-Ho;Kim, Jin-Il
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.1 s.45
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    • pp.33-42
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    • 2007
  • Mobile ad-hoc network(MANET) can increase independence and flexibility of network because it consists of mobile node without the aid of fixed infrastructure. But, Because of unrestriction for the participation and breakaway of node, it has the difficulty in management and stability which is a basic function of network operation. Therefore, to solve those problems, we suggest a distributed weighted clustering algorithm from a manageable and stable point of view. The suggested algorithm uses distributed weighted clustering algorithm when it initially forms the cluster and uses a concept which is distributed gateway and sub-cluster head to reduce the re-clustering to the minimum which occurs mobile nodes after forming the cluster. For performance evaluation, We compare DCA and WCA with the suggested algorithm on the basis of initial overhead, resubscriber rate and a number of cluster.

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