• 제목/요약/키워드: network capacity

검색결과 1,916건 처리시간 0.028초

A large capacity switching network with multi-write method (Multi-write 방식을 적용한 대용량 스위치 네트워크)

  • Oh, Don-Sung;Kang, Koo-Hong;Jang, Dong-Man;Park, Kwon-Chul;Koo, Ki-Wung
    • Proceedings of the KIEE Conference
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.974-977
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    • 1987
  • A digital switching network is proposed which is of Time - Space - Time architecture with a capacity of approximately 26,000 Erlangs. Large capacity time switchs, which have both concentration and time slot interchange(TSI) functions, are also implementated with relatively low speed devices by a newly proposed multi-write method.

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Determination of Channel Capacity Bounds of Narrow Band ISDN Subscriber Line in the Presence of Impulsive Noise (임펼스성 잡음이 있을때 협대역 ISDN 가입자 전송로의 통신로 용량 한계 결정)

  • Lee, Jong-Heon;Sung, Tae-Kyung;Chin, Yong-Ohk
    • Proceedings of the KIEE Conference
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.854-858
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    • 1987
  • This paper considers impulsive noise which produce burst error in high speed(approx.160Kbps) data transmission like ISDN(Integrated Servise Digital Network) using PSTN(Public Switching Telephone Network). To begin with, we obtains the transfer function of subscriber line to calculate the variation of bandwidth when the gain of receiver is fixed and channel capacity of non-gaussian channel in upper-and lower bound, and evaluates the transmission capability. In this paper compares channel capacity bounds which obtains when probability density function of impulsive noise is Laplacian distribution function with impulsive noise generated by waveform synthesier.

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Interference Mitigation by Joint Employment of Power Control and Almost Blank Subframes in Heterogeneous Networks (이종망 환경에서의 간섭완화를 위한 전력제어와 ABSF의 혼합운용 기법)

  • Kim, Hojin;Jo, Younghoon;Lim, Jaechan;Hong, Daehyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제39A권1호
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    • pp.62-64
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    • 2014
  • We propose joint employment of power control and almost blank subframes (ABSF) for femtocells to mitigate the interference of femto-cells to a macrocell in heterogeneous networks. We obtained improved performance in terms of both femtocells capacity and reduced interference by computer simulations while we have marginally decreased overall network capacity compared to possibly maximum capacity.

Channel Allocation Scheme considering Inter-Link Interference for Cognitive Radio Networks (인지무선통신에서 링크 간 간섭을 고려한 채널할당기법)

  • Kwon, Young-Min;Park, Hyung-Kun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • 제65권6호
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    • pp.1080-1082
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    • 2016
  • In a multi-hop CR (Cognitive Radio) network, each node find a path to destination node through several links. If links have the same frequency channel, there can be a serious interference among the links and it can reduce the network capacity. In multi-channel CR networks, each channel has different capacity according to the inter-link interference, and each channel has different traffic properties of primary users. In this paper, we propose channel scheduling scheme to minimize channel interferences and collision with primary users. Simulation results show the improvement of channel capacity and collision rate with primary users.

Investigating Antecedents and Consequences of Enterprise SNS (기업SNS사용의 선행요인 및 결과요인에 관한 연구)

  • Yoon, Jihyun;Kwahk, Kee-Young
    • Knowledge Management Research
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    • 제16권1호
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    • pp.143-170
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    • 2015
  • In the rapidly changing business environment, companies are introducing information technology to effectively manage internal resources in order to achieve a sustainable competitive advantage. We presented the Enterprise Social Network Service(SNS) as new information technology. Enterprise SNS provided employers with sociable functions like Facebook while supporting general task such as mail, authorization and notice. In this research, we focused on Enterprise SNS and suggested self-disclosure, enjoyment in helping others, perceived organizational support, generativity capacity as antecedent variables of Enterprise SNS usage. In addition, we verified the effect of the mediating role of generativity capacity between Enterprise SNS usage and job performance. For empirically verifying the proposed model, we collected sample data from 225 workers using Enterprise SNS and conducted analysis using a structural equation modeling. We expect that this study provides managers who are interested in introducing enterprise SNS with insights on how to facilitate enterprise SNS usage. Also, this study suggests useful theoretical implications to researchers who are interested in the use of enterprise SNS from the context of knowledge management.

Development of innovative superconducting DC power cable

  • Matsushita, Teruo;Kiuchi, Masaru
    • Progress in Superconductivity and Cryogenics
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    • 제19권3호
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    • pp.1-7
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    • 2017
  • It is required to reduce the cost of superconducting cable to realize a superconducting DC power network that covers a wide area in order to utilize renewable energy. In this paper a new concept of innovative cable is introduced that can enhance the current-carrying capacity even though the same superconducting tape is used. Such a cable can be realized by designing an optimal winding structure in such a way that the angle between the tape and magnetic field becomes small. This idea was confirmed by preliminary experiments for a single layer model cable made of Bi-2223 tapes and REBCO coated conductors. Experiments of three and four layer cables of practical sizes were also done and it was found that the current-carrying capacity increased as theoretically predicted. If the critical current properties of commercial superconducting tapes are further improved in a parallel magnetic field, the enhancement will become pronounced and this technology will surely contribute to realization of superconducting DC power network.

Prediction of uplift capacity of suction caisson in clay using extreme learning machine

  • Muduli, Pradyut Kumar;Das, Sarat Kumar;Samui, Pijush;Sahoo, Rupashree
    • Ocean Systems Engineering
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    • 제5권1호
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    • pp.41-54
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    • 2015
  • This study presents the development of predictive models for uplift capacity of suction caisson in clay using an artificial intelligence technique, extreme learning machine (ELM). Other artificial intelligence models like artificial neural network (ANN), support vector machine (SVM), relevance vector machine (RVM) models are also developed to compare the ELM model with above models and available numerical models in terms of different statistical criteria. A ranking system is presented to evaluate present models in identifying the 'best' model. Sensitivity analyses are made to identify important inputs contributing to the developed models.

D-channel Packet Access Line Capacity Analysis of the AO/DI Internet Service (AO/DI 인터넷 서비스의 D채널 패킷 액세스 회선 용량 분석)

  • Lee, Kang-Won;Kook, Kwang-Ho;Jeong, kwang-Jae;Kim, Tae-Il
    • IE interfaces
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    • 제13권4호
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    • pp.709-716
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    • 2000
  • In this paper, We analyze a capacity dimensioning and performance of the access line to the X.25 packet network when the AO/DI internet service is connected via D-channel. We show the forecasting methodology of the traffic demand of the D-channel internet services when the TDX-1OA switching system accommodates the target number of subscriber. Based on the traffic demand forecast, the required capacity of the access line is suggested to prevent bottleneck problem in the access line to the X.25 packet network.

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A new empirical formula for prediction of the axial compression capacity of CCFT columns

  • Tran, Viet-Linh;Thai, Duc-Kien;Kim, Seung-Eock
    • Steel and Composite Structures
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    • 제33권2호
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    • pp.181-194
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    • 2019
  • This paper presents an efficient approach to generate a new empirical formula to predict the axial compression capacity (ACC) of circular concrete-filled tube (CCFT) columns using the artificial neural network (ANN). A total of 258 test results extracted from the literature were used to develop the ANN models. The ANN model having the highest correlation coefficient (R) and the lowest mean square error (MSE) was determined as the best model. Stability analysis, sensitivity analysis, and a parametric study were carried out to estimate the stability of the ANN model and to investigate the main contributing factors on the ACC of CCFT columns. Stability analysis revealed that the ANN model was more stable than several existing formulae. Whereas, the sensitivity analysis and parametric study showed that the outer diameter of the steel tube was the most sensitive parameter. Additionally, using the validated ANN model, a new empirical formula was derived for predicting the ACC of CCFT columns. Obviously, a higher accuracy of the proposed empirical formula was achieved compared to the existing formulae.

Predicting the shear strength of reinforced concrete beams using Artificial Neural Networks

  • Asteris, Panagiotis G.;Armaghani, Danial J.;Hatzigeorgiou, George D.;Karayannis, Chris G.;Pilakoutas, Kypros
    • Computers and Concrete
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    • 제24권5호
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    • pp.469-488
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    • 2019
  • In this research study, the artificial neural networks approach is used to estimate the ultimate shear capacity of reinforced concrete beams with transverse reinforcement. More specifically, surrogate approaches, such as artificial neural network models, have been examined for predicting the shear capacity of concrete beams, based on experimental test results available in the pertinent literature. The comparison of the predicted values with the corresponding experimental ones, as well as with available formulas from previous research studies or code provisions highlight the ability of artificial neural networks to evaluate the shear capacity of reinforced concrete beams in a trustworthy and effective manner. Furthermore, for the first time, the (quantitative) values of weights for the proposed neural network model, are provided, so that the proposed model can be readily implemented in a spreadsheet and accessible to everyone interested in the procedure of simulation.