• Title/Summary/Keyword: 지연 모델

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Mean Response Delay Estimation for HTTP over SCTP in Wireless Internet (무선 인터넷 환경에서 HTTP over SCTP의 평군 응답 시간 추정)

  • Lee, Yong-Jin
    • The Journal of the Korea Contents Association
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    • v.8 no.6
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    • pp.43-53
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    • 2008
  • Hyper text transfer protocol (HTTP) over transmission control protocol (TCP) is currently used to transfer objects in the Internet. Stream control transmission protocol (SCTP), an alternative to TCP, which allows for independent delivery among streams, and can thus reduce the mean response delay of web object. We present an analytical model to find the mean response delay for HTTP over SCTP, therefore, estimate the effectiveness of SCTP over TCP. Typical TCP delay models assume the wired environment. On the contrary, the proposed model in this paper assumes the multiple packet losses and wireless environment where fast retransmission is not possible due to small window. The estimated mean response time can be used the benchmark to meet quality of service (QoS) at end-user. We validate the accuracy of our model using experiments. It is shown that the differences between the results from model and those from experimental are very small below 6 % on average. We also find that the mean response delay for HTTP over SCTP is less than that for HTTP over TCP.

A Virtual Mobile Ad-Hoc Network Model to Improve Internet Connectivity among Heterogeneous Mobile Devices (이종 모바일 기기들의 인터넷 접속을 개선할 수 있는 가상 모바일 애드혹 네트워크 모델)

  • Uddin, Jia;Kim, Jong-Myon
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.1
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    • pp.31-41
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    • 2014
  • This paper proposes a virtual mobile ad-hoc network (VMANET) model that automatically divides heterogeneous mobile devices of a MANET into a number of network groups depending on the communication capacity(data rate) of different network operational models such as IEEE 802.11g, IEEE 802.11b, and Frequency Hopping. In addition, it supports a distinct routing protocol for each network group of VMANETs, resulting in running multiple routing protocols concurrently on different groups of VMANETs. To reduce the network congestion and improve the network load balance, a default MANET gateway is configured in each VMANET and these gateways are responsible for integrating the MANET and IP networks. Experiment results show that the proposed model outperforms the conventional IMANET by significantly increasing throughput and reducing network congestion and network delay.

Generalized Vector Channel Model for Communication Systems Using Antenna Arrays and Implementation of the Spatial Channel Simulator (안테나 배열을 사용하는 통신 시스템을 위한 일반화된 벡터 채널 모델과 공간 채널 시뮬레이터의 구현)

  • 오성근;류원형
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.3B
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    • pp.408-422
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    • 2000
  • In this paper, we propose a generalized vector channel model for wireless communication systems using antenna arrays. The proposed channel model reflects path loss. spatial-temporal variation of shadowing, multipath fading , Doppler effect, spatial distribution of local scatterers and delay spread due to remote dominant scatterers. In addition, we use a discrete ray model in which respective ray signal experiences independent shadowing, fading and Doppler shift, and impinges on antenna arrays at a distinct angle. Based on the proposed mode. we derive the relations on the spatial and temporal correlations of the received signals and implement a spatial channel simulator. By comparing the theoretical values with the simulated ones, we verify the effectiveness of the implemented simulator. The simulator is then used to generate an arbitrary channel impulse response and to analyze the channel characteristics under various environments.

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A Study on the PR Method of Cadastral Re-survey Project Using Hutton's PR Model (허튼(Hutton)의 PR모델을 이용한 지적재조사 홍보 방법)

  • Park, Kwang-Soon;Hong, Sung-Eon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.3
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    • pp.684-694
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    • 2009
  • This study is aimed at looking into the PR method of cadastral re-survey, and at looking for the reason of the delay of cadastral re-survey project. We thought that the reason why the cadastral re-survey project was delayed was a lack of a national agreement on it owing to an insufficient PR. So, to solve this question, we proposed an alternative plan for the PR method of cadastral re-survey, using Hutton's PR model. As a result of a study, a total of 31 PR methods was made which were apt for every practical PR on the basis of 6 three-dimensional models of PR practice. But, some of Hutton's PR models proved to be unfit for the cadastral re-survey project. Therefore, we formed and proposed a new model to apt for the cadastral re-survey project. The result of this study is expected to be of help in getting a foundation to form a national agreement on the quick operation of a upcoming cadastral re-survey project.

A Study on the Latency Analysis of Bus Information System Based on Edge Cloud System (엣지 클라우드 시스템 기반 버스 정보 시스템의 지연시간 분석연구)

  • SEO Seungho;Dae-Sik Ko
    • Journal of Platform Technology
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    • v.11 no.3
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    • pp.3-11
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    • 2023
  • Real-time control systems are growing rapidly as infrastructure technologies such as IoT and mobile communication develop and services that value real-time such as factory management and vehicle operation checks increase. Various solutions have been proposed to increase the time sensitivity of this system, but most real-time control systems are currently composed of local servers and multiple clients located in control stations, which are transmitted to local servers where control systems are located. In this paper, we proposed an edge computing-based real-time control model that can reduce the time it takes for the bus information system, one of the real-time control systems, to provide the information to the user at the time it collects the information. Simulating the existing model and the edge computing model, the edge computing model confirmed that the cost for users to receive data is reduced from at least 10% to up to 80% compared to the existing model.

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A Stochastic Model for the Nuclide Migration in Geologic Media Using a Continuous Time Markov Process (연속시간 마코프 프로세스를 이용한 지하매질에서의 통계적 핵종이동 모델)

  • Lee, Y.M.;Kang, C.H.;Hahn, P.S.;Park, H.H.;Lee, K.J.
    • Nuclear Engineering and Technology
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    • v.25 no.1
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    • pp.154-165
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    • 1993
  • A stochastic method using continuous time Markov process is presented to model the one-dimensional convective nuclide transport in geologic media, which have usually heterogeneous feature in physical/geochemical parameters such as velocity, dispersion coefficient, and retardation factor resulting poor description by conventional deterministic advection-dispersion model. The primary desired quantities from a stochastic model are the mean values and variance of the state variables as a function of time. The time-dependent probability distributions of nuclides are presented for each discretized compartment given the volumetric groundwater flux and the intensity of transition. Since this model is discrete in medium space, physical/geochemical parameters which affect nuclide transport can be easily incorporated for the heterogeneous media as well as remarkably layered media having spatially varied parameters. Even though the Markov process model developed in this study was shown to be sensitive to the number of discretized compartments showing numerical dispersion as the number of compartments are increased, this could be easily calibrated by comparing with the analytical deterministic model.

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Jointly learning class coincidence classification for FAQ classification (FAQ 분류 성능 향상을 위한 클래스 일치 여부 결합 학습 모델)

  • Yang, Dongil;Ham, Jina;Lee, Kangwook;Lee, Jiyeon
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.12-17
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    • 2019
  • FAQ(Frequently Asked Questions) 질의 응답 시스템은 자주 묻는 질문과 답변을 정의하고, 사용자 질의에 대해 정의된 답변 중 가장 알맞는 답변을 추론하여 제공하는 시스템이다. 정의된 대표 질문 및 대응하는 답변을 클래스(Class)라고 했을 때, FAQ 질의 응답 시스템은 분류(Classification) 문제라고 할 수 있다. 종래의 FAQ 분류는 동일 클래스 내 동의 문장(Paraphrase)에서 나타나는 공통적인 특징을 통해 분류 문제를 학습하였으나, 이는 비슷한 단어 구성을 가지면서 한 두 개의 단어에 의해 의미가 다른 문장의 차이를 구분하지 못하며, 특히 서로 다른 클래스에 속한 학습 데이터 간에 비슷한 의미를 가지는 문장이 존재할 때 클래스 분류에 오류가 발생하기 쉬운 문제점을 가지고 있다. 본 논문에서는 이 문제점을 해결하고자 서로 다른 클래스 내의 학습 데이터 문장들이 상이한 클래스임을 구분할 수 있도록 클래스 일치 여부(Class coincidence classification) 문제를 결합 학습(Jointly learning)하는 기법을 제안한다. 동일 클래스 내 학습 문장의 무작위 쌍(Pair)을 생성 및 학습하여 해당 쌍이 같은 클래스에 속한다는 것을 학습하게 하면서, 동시에 서로 다른 클래스 간 학습 문장의 무작위 쌍을 생성 및 학습하여 해당 쌍은 상이한 클래스임을 구분해 내는 능력을 함께 학습하도록 유도하였다. 실험을 위해서는 최근 발표되어 자연어 처리 분야에서 가장 좋은 성능을 보이고 있는 BERT 의 텍스트 분류 모델을 이용했으며, 제안한 기법을 적용한 모델과의 성능 비교를 위해 한국어 FAQ 데이터를 기반으로 실험을 진행했다. 실험 결과, 분류 문제만 단독으로 학습한 BERT 기본 모델보다 본 연구에서 제안한 클래스 일치 여부 결합 학습 모델이 유사한 문장들 간의 차이를 구분하며 유의미한 성능 향상을 보인다는 것을 확인할 수 있었다.

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Development of the Substrate Utilization and Respiration Model by the Step Growth Concept (단계별 성장 개념의 기질 이용과 미생물 호흡모델 개발)

  • Kim, Youn Kwon;Seo, In Seok;Kim, Hong Suck;Kim, Ji Yeon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4B
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    • pp.433-437
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    • 2006
  • Recently, mathematical modeling for the activated sludge process is important to design and control of wastewater treatment plant. Nevertheless, there is a lack of information regarding the pathway of substrate utilization between external and internal substrates in biological nutrient removal (BNR). In this research, a new activated sludge model (step growth model) is proposed and compare with ASM No.3. This model structure is consist of five processes; aerobic storage, growth on external substrate and stored intercellular storage compounds (ISCs), endogenous respiration and aerobic respiration of ISCs. The predicted results by the step growth model were more good accordance with the results of oxygen utilization rate (OUR) and TCOD experiment than that of the ASM No.3.

State-of-the-Art Knowledge Distillation for Recommender Systems in Explicit Feedback Settings: Methods and Evaluation (익스플리싯 피드백 환경에서 추천 시스템을 위한 최신 지식증류기법들에 대한 성능 및 정확도 평가)

  • Hong-Kyun Bae;Jiyeon Kim;Sang-Wook Kim
    • Smart Media Journal
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    • v.12 no.9
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    • pp.89-94
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    • 2023
  • Recommender systems provide users with the most favorable items by analyzing explicit or implicit feedback of users on items. Recently, as the size of deep-learning-based models employed in recommender systems has increased, many studies have focused on reducing inference time while maintaining high recommendation accuracy. As one of them, a study on recommender systems with a knowledge distillation (KD) technique is actively conducted. By KD, a small-sized model (i.e., student) is trained through knowledge extracted from a large-sized model (i.e., teacher), and then the trained student is used as a recommendation model. Existing studies on KD for recommender systems have been mainly performed only for implicit feedback settings. Thus, in this paper, we try to investigate the performance and accuracy when applied to explicit feedback settings. To this end, we leveraged a total of five state-of-the-art KD methods and three real-world datasets for recommender systems.

Modeling and Digital Predistortion Design of RF Power Amplifier Using Extended Memory Polynomial (확장된 메모리 다항식 모델을 이용한 전력 증폭기 모델링 및 디지털 사전 왜곡기 설계)

  • Lee, Young-Sup;Ku, Hyun-Chul;Kim, Jeong-Hwi;Ryoo, Kyoo-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.11
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    • pp.1254-1264
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    • 2008
  • This paper suggests an extended memory polynomial model that improves accuracy in modeling memory effects of RF power amplifiers(PAs), and verifies effectiveness of the suggested method. The extended memory polynomial model includes cross-terms that are products of input terms that have different delay values to improve the limited accuracy of basic memory polynomial model that includes the diagonal terms of Volterra kernels. The complexity of the memoryless model, memory polynomial model, and the suggested model are compared. The extended memory polynomial model is represented with a matrix equation, and the Volterra kernels are extracted using least square method. In addition, the structure of digital predistorter and digital signal processing(DSP) algorithm based on the suggested model and indirect learning method are proposed to implement a digital predistortion linearization. To verify the suggested model, the predicted output of the model is compared with the measured output for a 10W GaN HEMT RF PA and 30 W LDMOS RF PA using 2.3 GHz WiBro input signal, and adjacent-channel power ratio(ACPR) performance with the proposed digital predistortion is measured. The proposed model increases model accuracy for the PAs, and improves the linearization performance by reducing ACPR.