• 한국컴퓨터정보학회논문지
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• 제11권5호
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• pp.1-8
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• 2006

효율적인 네트워크 운용을 위해 트레픽를 측정하는 일은 중요하다. 흔히 용량(capacity)은 트레픽 부하가 없을 때 경로가 제공할 수 있는 최대처리량 또는 경로상의 모든 링크 간의 최소 전송율로서 정의된다. Pathrate는 현재 가장 널리 사용되는 네트워크 용량 측정 도구 중의 하나로써 네트워크의 일시적인 부하에 관계없이 정확한 측정을 할 수 있고 수년간의 개발과 보완으로 성능도 안정되어 있다. Pathrate에서의 Local Mode 검출에는 통계적 방법이 사용되는데 본 논문에서는 ASH(Averaged Shifted Histogram)을 이용한 Local Mode 검출 알고리즘을 제시하고, 구현을 통해 기존의 방법보다 더 나은 결과를 얻었음을 보였다.

• 한국구조물진단유지관리공학회 논문집
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• 제10권6호
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• pp.213-223
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• 2006

본 연구에서는 화강풍화토 지반에 시공된 PHC 매입말뚝의 지지력의 평가를 위해 인공신경망을 적용하였다. 오류역전파 인공신경망의 적용성을 증명하기 위해 168개의 PHC 매입말뚝의 현장시험 데이터가 사용되었다. 연구결과 오류역전파 인공신경망의 말뚝지지력 평가가 동재하시험결과와 잘 일치함을 보여주었으며, 이러한 결과는 인공신경망을 이용한 PHC 매입말뚝의 지지력 평가가 신뢰성이 있음을 보여준다.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.327-333
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• 2022

Internet Protocol Television (IPTV) has emerged as a personal entertainment source for home users. Streaming IPTV content over a wireless medium with good Quality of Service (QoS) can be a challenging task as IPTV content requires more bandwidth and Wireless Local Area Networks (WLANs) are susceptible to packet loss, delay and jitter. This research presents the capacity of IPTV using User Datagram Protocol (UDP) and TCP Friendly Rate Control (TFRC) over IEEE 802.11ac WLANs in good and bad network conditions. Experimental results show that in good network conditions, UDP and TFRC could accommodate a maximum of 78 and 75 Standard Definition Television (SDTV) users, respectively. In contrast, 15 and 11 High-Definition Television (HDTV) users were supported by UDP and TFRC, respectively. Performance of UDP and TFRC was identical in bad network conditions and same number of SDTV and HDTV users were supported by TFRC and UDP. With background Transmission Control Protocol (TCP) traffic, both UDP and TFRC can support nearly the same number of SDTV users. It was found that TFRC can co-exist fairly with TCP by giving more throughput to TCP unlike UDP.

• 보건교육건강증진학회지
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• 제26권3호
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• pp.35-48
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• 2009

Objectives: The community network is a foundation laid by the local community which has been formed historically and geographically to develop itself. This paper as a Korean way of healthy network survey for the community capacity building is an exploratory research to grasp the character of Korean society and then to organize an resident-governing partnership for that. Methods: Research objectives are CBOs(Community-Based Organizations) in S-district of Seoul. This region is a new town, however the solidarity and volunteerism of this resident is lively. The survey tool is Cho's CBOs Evaluation Questionnaire which was originated to measure the community capacity. The period of survey is from the January 2009 to the March 2009 and the study organizations which were collected by snowball sampling were 80. Results: The result shows two main networks: one is the civil society and craft union cluster, the other is welfare organization cluster. Groups of high centrality were organizations whose members are mainly women and craft organizations which were organized before 1990's. The group of high betweenness was the Association of Women's Organizations(0.188). Bi-components were six and they could be divided by organization's aim. In terms of the determinants of the participation to the health center enterprise, only the number of link(B=-0.60, p<0.04) was statistically significant. It means that when organization variables are controlled a tendency appears: the more the voluntary associations network, the less participation in the health enterprise. Conclusion: CBHOs(Community-Based Health Organizations) enhances residents' spontaneity and cohesion to increase the capability of the local community. If the surveyed healthy network, together the community health project, are used for various community development projects, the existing CBOs including CBHOs will be reorganized and furthered newly. For this it will be needed to construct an effective partnership of healthy network by restructuring the existing networks of voluntary associations.

• Journal of Power Electronics
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• 제12권1호
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• pp.1-9
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• 2012

This study investigates an application of the Hamming network-dual extended Kalman filter (DEKF) based on pattern recognition for high accuracy state-of-charge (SOC)/capacity estimation and state-of-health (SOH) prediction at various temperatures. The averaged nine discharging/charging voltage-temperature (DCVT) patterns for ten fresh Li-Ion cells at experimental temperatures are measured as representative patterns, together with cell model parameters. Through statistical analysis, the Hamming network is applied to identify the representative pattern that matches most closely with the pattern of an arbitrary cell measured at any temperature. Based on temperature-checking process, model parameters for a representative DCVT pattern can then be applied to estimate SOC/capacity and to predict SOH of an arbitrary cell using the DEKF. This avoids the need for repeated parameter measuremet.

• Journal of Multimedia Information System
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• 제3권2호
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• pp.21-26
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• 2016

Our networked world has been growing exponentially fast. The explosion in volume of machine-to-machine (M2M) transactions threatens to exceed the transport capacity of the networks that link them. Therefore, it is quite essential to reconsider the tradeoff between using many data sets versus using good data sets. We focus on this tradeoff in the context of the quality of information aggregated from many sensors in a noisy environment. We start with a basic theoretical model considered in the famous "CEO problem'' in the field of information theory. From a point of view of large deviations, we successfully find a simple statement for the optimal strategies under the limited network capacity condition. Moreover, we propose an open problem for a sensor network scenario and report a numerical result.

• 대한전자공학회논문지TC
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• 제37권4호
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• pp.17-24
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• 2000

통신을 위한 채널로써 전력선을 활용하기 위해서, 전력선상에서 존재하는 잡음을 측정하여 잡음 데이터를 획득하고, 망구조에 따른 단위길이(100m당)에 따른 신호 감쇄량을 측정했다. 본 논문에서 구분한 3종류의 전력선 구조에 따른 신호 감쇄와 잡음의 최대, 최소값을 이용해서 채널 용량식에 대입한 후 통신 채널로써 전력선이 가지는 채널용량을 계산하였다. 건물내 전력선이 가지는 채널용량은 전력선에 있어서 송,수신기 사이의 거리와 전력선 망구조에 영향을 크게 받는 것으로 나타났다.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.292-298
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• 2022

Femtocell networks can be a potential method for increasing the capacity of LTE networks, especially in indoor areas. However, unplanned deployment of femtocells results in co-tier interference and cross-tier interference problems. The interference reduces the advantages of implementing femtocell networks to a certain extent. The notion of Fractional Frequency Reuse (FFR) is proposed in order to reduce the impact of interference on the system's performance. In this paper, a dynamic approach for efficiently partitioning the spectrum is suggested. The goal is to enhance the capacity of femtocells, which will improve the performance of the system. The suggested strategy allocates less resources to the macrocell portion of the network, which has a greater number of femtocells deployed to maximize the utilization of available resources for femtocell users. The spectrum division would be dynamic. The proposed strategy is evaluated through a simulation using MATLAB tool. In conclusion, the results showed that the proposed scheme has the potential to boost the system's capacity.

• 디지털콘텐츠학회 논문지
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• 제10권2호
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• pp.233-238
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• 2009

디지털 통신 네트워크 기술의 발전에서 인터넷 기술과 스마트 홈 가전기기의 확산은 고속/고품질 홈 네트워크에 대한 필요성을 증가시키고 있다. 홈 네트워크에서 가전기기와 컴퓨팅 기기가 증가함에 따라 홈 네트워크의 데이터 트래픽은 증가할 것이 명백하다. 다양한 홈 네트워크 기기는 멀티미디어 콘텐츠를 얻기 위하여 인터넷 서버에 접속하길 원한다. 따라서 본 논문에서는 가정내에서 이더넷이나 유무선 기술을 사용하기 위해 네트워크에 연결된 디지털 가전기기를 위한 TLC(Telephone Line Carrier) 시스템을 소개한다. 미래의 홈 네트워크 환경에서 TLC 기반의 스마트 홈 네트워크의 주된 목적은 저가격, 쉬운 설치, 고성능, 넓은 영역을 만드는 것이다. 본 논문에서는 스마트 홈 네트워크를 위한 전화선로 통신시스템의 채널용량을 송신전력, OFDM 반송파의 수, 채널손실, 잡음손실에 따라서 정량적으로 비교, 분석하였다.

• Structural Engineering and Mechanics
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• 제89권3호
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• pp.309-321
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• 2024

In this paper, the effect of semi-rigid connections on the stability bearing capacity of cross-bracings in steel tubular transmission towers is investigated. Herein, a prediction method based on the hybrid model which is a combination of particle swarm optimization (PSO) and backpropagation neural network (BPNN) is proposed to accurately predict the stability bearing capacity of cross-bracings with semi-rigid connections and to efficiently conduct its probabilistic assessment. Firstly, the establishment of the finite element (FE) model of cross-bracings with semi-rigid connections is developed on the basis of the development of the mechanical model. Then, a dataset of 7425 samples generated by the FE model is used to train and test the PSO-BPNN model, and the accuracy of the proposed method is evaluated. Finally, the probabilistic assessment for the stability bearing capacity of cross-bracings with semi-rigid connections is conducted based on the proposed method and the Monte Carlo simulation, in which the geometric and material properties including the outer diameter and thickness of cross-sections and the yield strength of steel are considered as random variables. The results indicate that the proposed method based on the PSO-BPNN model has high accuracy in predicting the stability bearing capacity of cross-bracings with semi-rigid connections. Meanwhile, the semi-rigid connections could enhance the stability bearing capacity of cross-bracings and the reliability of cross-bracings would significantly increase after considering semi-rigid connections.