• Title/Summary/Keyword: Mean Transfer Time

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Mean Transfer Time for SCTP and TCP in Single-homed Environment considering Packet Loss (싱글홈드 환경에서 패킷 손실을 고려한 SCTP와 TCP의 평균 전송 시간)

  • Kim, Ju-Hyun;Lee, Yong-Jin
    • 대한공업교육학회지
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    • v.33 no.1
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    • pp.233-248
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    • 2008
  • Stream Control Transmission Protocol(SCTP) is a new transport protocol that is known to provide improved performance than Transmission Control Protocol(TCP) in multi-homing environment that is having two and more IP addresses. But currently single-homed computer is used primarily that is having one IP address. To identify whether mean transfer time for SCTP is faster that for TCP in single-homed environment considering packet loss, we make up real testbed regulating the bandwidth, delay time and packet loss rate on router and observe the transfer time. We write server and client applications to measure SCTP and TCP mean transfer time by C language. Analysis of these experimental results from the testbed implementation shows that mean transfer time of SCTP is not better than performance of TCP in single homed environment exceptional case. Main reasons of performance are that SCTP compared to TCP stops transmitting data by timeout and data transmission is often delayed when SACK congestion happens. The result of study shows that elaborate performance tuning is required in developing a new SCTP module or using a implemented SCTP module.

Mean Transfer Time for SCTP in Initial Slow Start Phase (초기 슬로우 스타트 단계에서 SCTP의 평균 전송 시간)

  • Kim, Ju-Hyun;Lee, Yong-Jin
    • 대한공업교육학회지
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    • v.32 no.2
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    • pp.199-216
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    • 2007
  • Stream Control Transmission Protocol(SCTP) is a transport layer protocol to support the data transmission. SCTP is similar to Transmission Control Protocol(TCP) in a variety of aspects. However, several features of SCTP including multi-homing and multi-streaming incur the performance difference from TCP. This paper highlights the data transfer during the initial slow start phase in SCTP congestion control composed of slow start phase and congestion avoidance phase. In order to compare the mean transfer time between SCTP and TCP, we experiment with different performance parameters including bandwidth, round trip time, and data length. By varying data length, we also measure the corresponding initial window size, which is one of factors affecting the mean transfer time. For the experiment, we have written server and client applications by C language using SCTP socket API and have measured the transfer time by ethereal program. We transferred data between client and server using round-robin method. Analysis of these experimental results from the testbed implementation shows that larger initial window size of SCTP than that of TCP brings the reduction in the mean transfer time of SCTP compared with TCP by 15 % on average during the initial slow start phase.

Transfer Patterns of Multiple Trauma Patients in University Hospital after Acute Phase Management (대학병원에서 급성기 치료가 완료된 다발성 외상환자의 전원 패턴)

  • Lee, Jong Min;Jang, Ji Young;Lee, Seung Hwan;Lee, Jae Gil
    • Journal of Trauma and Injury
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    • v.26 no.4
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    • pp.261-265
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    • 2013
  • Purpose: The aim of this study is to evaluate the transfer pattern of multiple trauma patients after acute phase management and to determine whether the time between the surgeon's decision and the actual transfer correlates with the patient's insurance type. Methods: Three hundred ninety-two(392) multiple trauma patients visited the emergency room from January 2011 to April 2013. Among the 143 patients who were admitted by a trauma surgeon, 47 were transferred to another hospital after acute phase management. The age, gender, trauma mechanism, Revised trauma score (RTS), Injury severity score (ISS), insurance type, length of ICU stay and hospital stay were analyzed through a retrospective chart review. Results: The mean age was 47.7 years, and traffic accident was the most common mechanism(26, 55.3%). The mean RTS and ISS were 6.93 and 22.7, respectively. Twenty-five patients(53%) were covered by National health insurance, and 20 patients(42.6%) were covered by automobile insurance. Patients were transferred to primary (4.3%), secondary(80.9%), tertiary(4.3%) and care(10.6%) hospitals. The mean time from transfer decision to actual transfer was significantly longer for patients who were covered by automobile insurance than it was for patients who were covered by national health insurance (p=0.038). Conclusion: An appropriate transfer system at the end of acute phase care is essential for managing trauma centers with limited staffing and facilities. In addition, the mean time from transfer decision to actual transfer seemed to be definitely related to the type of insurance covering the patient.

Transfer Function Model Forecasting of Sea Surface Temperature at Yeosu in Korean Coastal Waters (전이함수모형에 의한 여수연안 표면수온 예측)

  • Seong, Ki-Tack;Choi, Yang-Ho;Koo, Jun-Ho;Lee, Mi-Jin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.20 no.5
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    • pp.526-534
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    • 2014
  • In this study, single-input transfer function model is applied to forecast monthly mean sea surface temperature(SST) in 2010 at Yeosu in Korean coastal waters. As input series, monthly mean air temperature series for ten years(2000-2009) at Yeosu in Korea is used, and Monthly mean SST at Yeosu station in Korean coastal waters is used as output series(the same period of input). To build transfer function model, first, input time series is prewhitened, and then cross-correlation functions between prewhitened input and output series are determined. The cross-correlation functions have just two significant values at time lag at 0 and 1. The lag between input and output series, the order of denominator and the order of numerator of transfer function, (b, r, s) are identified as (0, 1, 0). The selected transfer function model shows that there does not exist the lag between monthly mean air temperature and monthly mean SST, and that transfer function has a first-order autoregressive component for monthly mean SST, and that noise model was identified as $ARIMA(1,0,1)(2,0,0)_{12}$. The forecasted values by the selected transfer function model are generally $0.3-1.3^{\circ}C$ higher than actual SST in 2010 and have 6.4 % mean absolute percentage error(MAPE). The error is 2 % lower than MAPE by ARIMA model. This implies that transfer function model could be more available than ARIMA model in terms of forecasting performance of SST.

Effect of Sound Field on the Forced Convection Heat Transfer from an Isothermal Cylinder (음장이 등온원통으로부터의 강제대류 열전달에 미치는 영향)

  • 권영필
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.12 no.2
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    • pp.373-380
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    • 1988
  • The effect of sound on the heat transfer from an isothermal cylinder in cross flow is investigated by numerical analysis. The modeling is made for the laminar incompressible flow fluctuating in the range of the Reynolds number, 5.leq.Re.leq.35, by the sinusoidal acoustic field. The instantaneous response of the flow and heat transfer is simulated for various frequencies. It is shown that the heat transfer amplitude decreases and the phase lags behind the flow velocity with increase in the frequency. The time-mean effects of the acoustic field on the flow field and heat transfer, known as the acoustic and thermoacoustic streaming, are analyzed. The time-mean heat transfer coefficients are decreased around the forward stagnation point but increased in the wake region. Such a local difference in heat transfer coefficients is a function of the frequency and becomes greatest at some frequency. However, with balance between the local increase and decrease, the overall heat transfer coefficient is almost unaffected by sound.

Analytical model for mean web object transfer latency estimation in the narrowband IoT environment (협대역 사물 인터넷 환경에서 웹 객체의 평균 전송시간을 추정하기 위한 해석적 모델)

  • Lee, Yong-Jin
    • Journal of Internet of Things and Convergence
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    • v.1 no.1
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    • pp.1-4
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    • 2015
  • This paper aims to present the mathematical model to find the mean web object transfer latency in the slow-start phase of TCP congestion control mechanism, which is one of the main control techniques of Internet. Mean latency is an important service quality measure of end-user in the network. The application area of the proposed latency model is the narrowband environment including multi-hop wireless network and Internet of Things(IoT), where packet loss occurs in the slow-start phase only due to small window. The model finds the latency considering initial window size and the packet loss rate. Our model shows that for a given packet loss rate, round trip time and initial window size mainly affect the mean web object transfer latency. The proposed model can be applied to estimate the mean response time that end user requires in the IoT service applications.

Prediction of Electricity Sales by Time Series Modelling (시계열모형에 의한 전력판매량 예측)

  • Son, Young Sook
    • The Korean Journal of Applied Statistics
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    • v.27 no.3
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    • pp.419-430
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    • 2014
  • An accurate prediction of electricity supply and demand is important for daily life, industrial activities, and national management. In this paper electricity sales is predicted by time series modelling. Real data analysis shows the transfer function model with cooling and heating days as an input time series and a pulse function as an intervention variable outperforms other time series models for the root mean square error and the mean absolute percentage error.

Convection Heat Transfer Coefficient of a Meat Cube in a Continuous Flow Sterilizing System

  • Hong, Ji-Hyang;Han, Young-Joe;Chung, Jong-Hoon
    • Food Science and Biotechnology
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    • v.14 no.3
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    • pp.328-333
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    • 2005
  • Finite difference model and dynamic thermal property evaluation system were developed to estimate convection heat transfer coefficient by modeling temperature-time profile of beef cube in continuous flow sterilizing system. As input parameters of the model, specific heat and thermal conductivity values of beef frankfurter meat were independently measured from 20 to $80^{\circ}C$. Convection heat transfer coefficient was estimated by comparing simulated and measured temperature-time profiles. Actual temperature-time profiles of meat cube were measured at flow rates of 15, 30, and 45 L/min and viscosities from 0 to 15 cp, and mean values of convection heat transfer coefficients ranged from 792 to $2107\;W/m^2{\cdot}K$. Convection heat transfer coefficient increased with increase in flow rate and decreased as viscosity increased.

Mathematical Model for Mean Transfer Delay of Web Object in Initial Slow Start Phase (초기 슬로우 스타트 구간에서 웹 객체의 평균 전송 시간 추정을 위한 수학적 모델)

  • Lee, Yong-Jin
    • 대한공업교육학회지
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    • v.33 no.2
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    • pp.248-258
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    • 2008
  • Current Internet uses HTTP (Hyper Text Transfer Protocol) as an application layer protocol and TCP (Transmission Control Protocol) as a transport layer protocol to provide web service. SCTP (Stream Control Transmission Protocol) is a recently proposed transport protocol with very similar congestion control mechanisms as TCP, except the initial congestion window during the slow start phase. In this paper, we present a mathematical model of object transfer latency during the slow start phase for HTTP over SCTP and compare with the latency of HTTP over TCP. Validation of the model using experimental result shows that the mean object transfer latency for HTTP over SCTP during the slow start phase is less than that for HTTP over TCP by 11%.

Fluorescence Resonance Energy Transfer in Calf Thymus DNA from a Long-Lifetime Metal-Ligand Complex to Nile Blue

  • Kang, Jung-Sook;Lakowicz, Josepb R.
    • BMB Reports
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    • v.34 no.6
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    • pp.551-558
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    • 2001
  • We extended the measurable time scale of DNA dynamics to submicrosecond using a long-lifetime metal-ligand complex, $[Ru(phen)_2(dppz)]^{2+}$ (phen=1,10-phenanthroline, dppz=dipyrido[3,2-a:2',3'-c]phenazine) (RuPD), which displays a mean lifetime near 350 ns. We partially characterized the fluorescence resonance energy transfer (FRET) in calf thymus DNA from RuPD to nile blue (NB) using frequency-domain fluorometry with a high-intensity, blue light-emitting diode (LED) as the modulated light source. There was a significant overlap of the emission spectrum of the donor RuPD with the absorption spectrum of the acceptor NB. The F$\ddot{o}$rster distance ($R_0$) that was calculated from the spectral overlap was $33.4\;{\AA}$. We observed dramatic decreases in the steady-state fluorescence intensities of RuPD when the NB concentration was increased. The intensity decays of RuPD were matched the closest by a triple exponential decay. The mean decay time of RuPD in the absence of the acceptor NB was 350.7 ns. In a concentration-dependent manner, RuPD showed rapid intensity decay times upon adding NB. The mean decay time decreased to 184.6 ns at $100\;{\mu}M$ NB. The FRET efficiency values that are calculated from the mean decay times increased from 0.107 at $20\;{\mu}M$ NB to 0.474 at $100\;{\mu}M$ NB concentration. The use of FRET with a long-lifetime metal-ligand complex donor is expected to offer the opportunity to increase the information about the structure and dynamics of nucleic acids.

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