• Title/Summary/Keyword: stream networks

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Debiasing Technique for Numerical Weather Prediction using Artificial Neural Network

  • Kang, Boo-Sik;Ko, Ick-Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.51-56
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    • 2006
  • Biases embedded in numerical weather precipitation forecasts by the RDAPS model was determined, quantified and corrected. The ultimate objective is to eventually enhance the reliability of reservoir operation by Korean Water Resources Corporation (KOWACO), which is based on precipitation-driven forecasts of stream flow. Statistical post-processing, so called MOS (Model Output Statistics) was applied to RDAPS to improve their performance. The Artificial Neural Nwetwork (ANN) model was applied for 4 cases of 'Probability of Precipitation (PoP) for wet and dry season' and 'Quantitative Precipitation Forecasts (QPF) for wet and dry season'. The reduction on the large systematic bias was especially remarkable. The performance of both networks may be improved by retraining, probably every month. In addition, it is expected that performance of the networks will improve once atmospheric profile data are incorporated in the analysis. The key to the optimal performance of ANN is to have a large data set relevant to the predictand variable. The more complex the process to be modeled by the ANN, the larger the data set needs to be.

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A Estimation of Transmission Link Capacity using Statistical Multiplexing Model on Optical Access Networks (광 가입자망에서 트래픽 다중화에 의한 링크 용량 산출)

  • 정승욱;정수환;권순철;길계태
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.10B
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    • pp.1815-1823
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    • 1999
  • This study investigates the problem of potential bottleneck on FTTC access networks. The link capacity for multiplexed stream using the 2-state MMPP source model is estimate on the assumption of a single VC per user. An analytic from between the cell loss rate and the effective bandwidth has been used to estimate an appropriate ling bandwidth varying the fraction of active users.

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The Error-Resilient Transmission of MPEG-4 Patient Video using UDP Over CDMA2000 1xEV-DO Network (CDMA2000 1xEV-DO망에서 UDP를 사용한 MPEG-4 환자 영상의 에러에 강인한 전송)

  • Lee Tong-Heon;Yoo Sun-Kook
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.8
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    • pp.510-516
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    • 2005
  • Rapid advances in telecommunication make emergency telemedicine possible that specialist offers medical care to an emergency case in moving vehicle. Although there were many telemedicine projects delivering the image or video of patient over several wireless networks, none of them considered effective solutions for optimizing video transmission over error-prone environments, such like wireless links. To alleviate the effect of channel errors on compressed video bit-stream, this paper analyzed the error resilient features of MPEG-4 standard and measured the quality of transmitted MPEG-4 encoded video over commercially available CDMA2000 1xEV-DO networks, transmitting different IP packet sizes and RM positions. we propose an error resilient transmission methods for emergency telemedicine over real 3G network.

Bandwidth Efficient Adaptive Forward Error Correction Mechanism with Feedback Channel

  • Ali, Farhan Azmat;Simoens, Pieter;de Meerssche, Wim Van;Dhoedt, Bart
    • Journal of Communications and Networks
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    • v.16 no.3
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    • pp.322-334
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    • 2014
  • Multimedia content is very sensitive to packet loss and therefore multimedia streams are typically protected against packet loss, either by supporting retransmission requests or by adding redundant forward error correction (FEC) data. However, the redundant FEC information introduces significant additional bandwidth requirements, as compared to the bitrate of the original video stream. Especially on wireless and mobile networks, bandwidth availability is limited and variable. In this article, an adaptive FEC (A-FEC) system is presented whereby the redundancy rate is dynamically adjusted to the packet loss, based on feedback messages from the client. We present a statistical model of our A-FEC system and validate the proposed system under different packet loss conditions and loss probabilities. The experimental results show that 57-95%bandwidth gain can be achieved compared with a static FEC approach.

VHDL modeling considering routing delay in antifuse-based FPGAs (안티퓨즈 FPGA의 배선지연시간을 고려한 VHDL 모델링)

  • 백영숙;조한진;박인학;김경수
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.5
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    • pp.180-187
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    • 1996
  • This paper describes a post-layout simulation method using VHDL and C for verifying the architecture of antifuse-based FPGAs and the dedicated CAD system. An antifuse-based FPGA consists of programming circuitry including decoding logic, logic modules, segmented tracks, antifuses and I/O pads. The VHDL model which includes all these elements is used for logic verification and programming verification of the implemented circuit by reconstructing the logic circuit from the bit-stream generated from layout tool. The implemented circuit comprises of logic modules and routing networks. Since the routing delay of the complex networks is comparable to the delay of the logic module in the FPGA, the accurate post-layout simulation is essential to the FPGA system. In this paper, the C program calculates the delay of the routing netowrks using SPICE, elmore or horowitz delay models and the results feedback to the VHDL simulation. Critical path anc be found from this post-layout simulation results.

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Shalt-Term Hydrological forecasting using Recurrent Neural Networks Model

  • Kim, Sungwon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.1285-1289
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    • 2004
  • Elman Discrete Recurrent Neural Networks Model(EDRNNM) was used to be a suitable short-term hydrological forecasting tool yielding a very high degree of flood stage forecasting accuracy at Musung station of Wi-stream one of IHP representative basins in South Korea. A relative new approach method has recurrent feedback nodes and virtual small memory in the structure. EDRNNM was trained by using two algorithms, namely, LMBP and RBP The model parameters, optimal connection weights and biases, were estimated during training procedure. They were applied to evaluate model validation. Sensitivity analysis test was also performed to account for the uncertainty of input nodes information. The sensitivity analysis approach could suggest a reduction of one from five initially chosen input nodes. Because the uncertainty of input nodes information always result in uncertainty in model results, it can help to reduce the uncertainty of EDRNNM application and management in small catchment.

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Comparative Transmission of JPEG2000 and MPEG-4 Patient Images using the Error Resilient Tools over CDMA 1xEVDO Network (CDMA 1xEVDO 망에서 무선 에러에 강인한 JPEG2000과 MPEG4의 환자 영상 전송에 관한 비교연구)

  • Cho, Jin-Ho;Lee, Tong-Heon;Yoo, Sun-Kook
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.6
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    • pp.296-301
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    • 2006
  • Even though the emergency telecommunication make possible that specialist offers medical care over emergency cases in moving vehicle, we still have many problems in transmitting the image or video of patient over several wireless networks. To alleviate the effect of channel errors on compressed video bit-stream, this paper analyzed the error resilient features of JPEG2000 standard and measured the quality of transmission over noisy wireless channel, CDMA2000 1xEV-DO networks, compared to the features of error resilient tool of MPEG-4. We also proposed the optimum solution of transmitting images over real 3G network using JPEG2000 error resilient tool.

Trends of Low-Precision Processing for AI Processor (NPU 반도체를 위한 저정밀도 데이터 타입 개발 동향)

  • Kim, H.J.;Han, J.H.;Kwon, Y.S.
    • Electronics and Telecommunications Trends
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    • v.37 no.1
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    • pp.53-62
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    • 2022
  • With increasing size of transformer-based neural networks, a light-weight algorithm and efficient AI accelerator has been developed to train these huge networks in practical design time. In this article, we present a survey of state-of-the-art research on the low-precision computational algorithms especially for floating-point formats and their hardware accelerator. We describe the trends by focusing on the work of two leading research groups-IBM and Seoul National University-which have deep knowledge in both AI algorithm and hardware architecture. For the low-precision algorithm, we summarize two efficient floating-point formats (hybrid FP8 and radix-4 FP4) with accuracy-preserving algorithms for training on the main research stream. Moreover, we describe the AI processor architecture supporting the low-bit mixed precision computing unit including the integer engine.

Implementation of Service Architecture for Hierarchical UHD Broadcasting over Heterogeneous Networks (이기종망에서 계층 부호화된 UHD 방송을 위한 서비스 아키텍처 구현)

  • Seo, Minjae;Paik, Jong Ho
    • Journal of Satellite, Information and Communications
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    • v.9 no.4
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    • pp.38-41
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    • 2014
  • Due to the diversity of device performances and the possibility of providing multimedia service through many networks, media consumption environment has been changed in various ways. In recent, mobile services and broadcasting services started to provided through IP network. According to this flow changes, there was great demand for various multimedia services through heterogenous networks. To solve this problem, MMT was suggested as a standard of multimedia transport which replaces MPEG-2 TS(Transport Stream) which is used for HD(High Definition) transport. MMT can be provided various broadcasting based on IP through terrestrial, satellite, cable broadcasting networks, and also deliver multimedia through many networks at the same time. MMT was risen as a method of servicing UHD broadcasting. In this paper, we present an implementation of service architecture for hierarchical UHD broadcasting over heterogenous networks using MMT.

ON A CHARACTERIZATION OF SECURE TRINOMIALS ON ℤ2n

  • Rhee, Min Surp
    • Journal of the Chungcheong Mathematical Society
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    • v.29 no.4
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    • pp.573-584
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    • 2016
  • Invertible transformations over n-bit words are essential ingredients in many cryptographic constructions. Such invertible transformations are usually represented as a composition of simpler operations such as linear functions, S-P networks, Feistel structures and T-functions. Among them T-functions are probably invertible transformations and are very useful in stream ciphers. In this paper we will characterize a secure trinomial on ${\mathbb{Z}}_{2^n}$ which generates an n-bit word sequence without consecutive elements of period $2^n$.