• Title/Summary/Keyword: 수학적 성능

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A Multi-hop Relaying Transmission Scheme in Cognitive Radio System (Cognitive Radio 시스템 환경에서의 다중 홉 릴레이 전송 기법)

  • Lee, Dong-Kyu;Shin, Jung-Chae;Lim, Eun-Taek;Lee, Hyun-Woo;Cho, Ho-Shin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.9A
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    • pp.853-866
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    • 2008
  • In this paper, a multi-hop relaying transmission scheme is analyzed regarding its feasibility and potentiality in the IEEE 802.22-based cognitive radio (CR) environment. Shortly, basic design issues are addressed such as relay station (RS) deployment and a frame structure of physical channel to escape inter-hop interference. This paper mainly develops a radio resource management scheme based on spectrum sensing results aggregated from CR secondary nodes and improves the opportunistic spectrum sharing efficiency. In particular, a decision rule about a channel availability is made using a distributed sensing method. Subsequently, spectrum allocation and routing path decision procedures are proposed to establish a link from source to destination with a hop-by-hop manner. Simulation results show that the proposed multi-hop relaying scheme is substantially profitable in CR environments if the number of hops and RS deployment are designed in such a way that the spectrum sharing gain is larger than spectrum division loss which is inherently induced in multi-hop relaying systems.

Measurements and Numerical Analysis of Electric Cart and Fuel Cell to Estimate Operating Characteristic of FCEV (연료전지 자동차의 주행성능 예측을 위한 전기자동차 및 연료전지의 성능실험과 수학적 모델링)

  • Cho, Yong-Seok;Kim, Duk-Sang;An, Seok-Jong
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.5
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    • pp.65-72
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    • 2006
  • In new generation vehicle technologies, a fuel cell vehicle becomes more important, by virtue of their emission merits. In addition, a fuel cell is considered as a major source to generate the electricity for vehicles in near future. This paper focuses on modeling of not only an electric vehicle and but also a fuel cell vehicle to estimate performances. And an EV cart is manufactured to verify the modeling. Speed, voltage, and current of the vehicle and modeling are compared to estimate them at acceleration test and driving mode test. The estimations are also compared with the data of the Ballard Nexa fuel cell stack. In order to investigate a fuel cell based vehicle, motor and fuel cell models are integrated in a electric vehicle model. The characteristics of individual components are also integrated. Calculated fuel cell equations show good agreements with test results. In the fuel cell vehicle simulation, maximum speed and hydrogen fuel consumption are estimated. Even though there is no experimental data from vehicle tests, the vehicle simulation showed physically-acceptable vehicle characteristics.

Mitigating the Side-effect of Starting New Session in Multimedia Streaming using Multi-zoned Disk (구역분할 디스크를 사용하는 멀티미디어 서버에서 새로운 세션 시작에 따른 스케줄링 지연 현상의 최소화)

  • Cho, Kyeong-Sun;Won, You-Jip;Shin, Il-Hoon;Koh, Kern
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.8
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    • pp.445-452
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    • 2004
  • Zoning technology of disk improved the performance of disk subsystem with increase of storage capacity and average transfer bandwidth. SCAN disk scheduling with double buffering is used to utilize the performance of zoned disk in multimedia system. However, this method has a problem that generates jitter when the number of steams increases. In this article, we propose the novel approach, pre-buffering policy, to overcome this problem. Pre-buffering avoids jitter by buffering the lack of data before starting service, which is estimated from the current cycle length and the maximum cycle length. We can calculate cycle length, data sire needed in each cycle and the possible lack of data caused by the increase of the number of streams using the numerical model of disk subsystem. Pre-buffering can be applied for multimedia systems and contribute to provide clients with high quality service without jitter.

Buffer-based Service Differentiation Scheme in Optical Burst Switching Networks (광 버스트 스위칭 네트워크에서 버퍼 기반의 서비스 차별화 방식)

  • Paik, Jung-Hoon;Lee, Kyou-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.12
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    • pp.2835-2842
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    • 2013
  • In this paper, service differentiation scheme using optical buffer that is reduced in size with slow-light technology in optical burst switching networks is presented. In suggested scheme, each outport has buffer to store high-class burst only in case that all its wavelengths are occupied. When all wavelengths are being used, a new arriving high-class burst goes into the buffer and waits until a burst is serviced. As soon as a burst is serviced with a wavelength, the high-class burst at buffer is allocated to the free wavelength. In case that low-class burst is arriving under the same situation, it is not stored at the buffer but discarded. An analytical model is derived to analyze the performance of the suggested scheme and compare its performance with the conventional scheme such as preemption and deflection as well as no service differentiations.

An Optimal Cluster Analysis Method with Fuzzy Performance Measures (퍼지 성능 측정자를 결합한 최적 클러스터 분석방법)

  • 이현숙;오경환
    • Journal of the Korean Institute of Intelligent Systems
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    • v.6 no.3
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    • pp.81-88
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    • 1996
  • Cluster analysis is based on partitioning a collection of data points into a number of clusters, where the data points in side a cluster have a certain degree of similarity and it is a fundamental process of data analysis. So, it has been playing an important role in solving many problems in pattern recognition and image processing. For these many clustering algorithms depending on distance criteria have been developed and fuzzy set theory has been introduced to reflect the description of real data, where boundaries might be fuzzy. If fuzzy cluster analysis is tomake a significant contribution to engineering applications, much more attention must be paid to fundamental questions of cluster validity problem which is how well it has identified the structure that is present in the data. Several validity functionals such as partition coefficient, claasification entropy and proportion exponent, have been used for measuring validity mathematically. But the issue of cluster validity involves complex aspects, it is difficult to measure it with one measuring function as the conventional study. In this paper, we propose four performance indices and the way to measure the quality of clustering formed by given learning strategy.

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Design of the Optimal Phase for the Interpolant Filter in the Second-order Bandpass Sampling System (2차 BPS 시스템의 interpolant 필터에 대한 최적 위상 설계)

  • Baek, Jein
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.3
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    • pp.132-139
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    • 2016
  • In the bandpass sampling(BPS), the sampling frequency for the analog-to-digital converter is lower than that of the signal to be sampled. Since the BPS operation results in the signal spectrum to be copied on the baseband, it is possible for the frequency down-converter to be conveniently omitted. The second-order BPS system is introduced in order to cancel the aliased interference components from the BPS output that may be generated by the BPS processing. In this paper, we introduce a design method for the optimal phase of the interpolant filter in the second-order BPS system which enables to maximally cancel the aliased components. Being mathematically derived, this method can always be applied independently to the spectral characteristics of the BPS input signal. The performance improvements by the suggested method has been measured statistically with various power spectra of the received signal, and it has been shown that the maximal amount of the improvements reaches up to 5~20 [dB] in comparison with the previous suboptimal algorithm.

Development of an Engine Simulator for Optimal Control System Implementation of a Gas Turbine Engine (가스터빈엔진 최적 제어시스템 구현을 위한 엔진 시뮬레이터 개발)

  • Cha, Young-Bum;Koo, Bon-Min;Song, Do-Ho;Choi, Jung-Keyng
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.1
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    • pp.75-82
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    • 2007
  • In advanced countries, a gas turbine engine is developed to use in aircraft, vessels, and target weapons. Our nation also passed the level of producing engine components and now, we are developing small-sized gas turbine engine. The most important point of the gas turbine engine, the engine control technique, is evaded by the advanced nations. This document contains the research about the development of the gas turbine engine simulator. The simulator presented in this document has a mathematical engine model based on a capacity data of the gas turbine engine to advance the engine simulator. Through this process, it eases the development of the gas turbine engine control algorithm and helps to check the engine controller function. In this simulator, the engine sensor signal conversion board is designed, so the engine model shows like a real sensor signal during the simulation. Also, this paper contrasts the actual engine test with the simulation results to verify the performance.

Efficacy analysis for the AI-based Scientific Border Security System based on Radar : focusing on the results of bad weather experiments (레이더 기반 AI 과학화 경계시스템의 효과분석 : 악천후 시 실험 결과를 중심으로)

  • Hochan Lee;Kyuyong Shin;Minam Moon;Seunghyun Gwak
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.85-94
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    • 2023
  • In the face of the serious security situation with the increasing threat from North Korea, Korean Army is pursuing a reduction in troops through the performance improvement project of the GOP science-based border security system, which utilizes advanced technology. In order for the GOP science-based border security system to be an effective alternative to the decrease in military resources due to the population decline, it must guarantee a high detection and identification rate and minimize troop intervention by dramatically improving the false detection rate. Recently introduced in Korean Army, the GOP science-based border security system is known to ensure a relatively high detection and identification rate in good weather conditions, but its performance in harsh weather conditions such as rain and fog is somewhat lacking. As an alternative to overcoming this, a radar-based border security system that can detect objects even in bad weather has been proposed. This paper proves the effectiveness of the AI-based scientific border security system based on radar that is being currently tested at the 00th Division through the 2021 Rapid Acquisition Program, and suggests the direction of development for the GOP scientific border security system.

Data Communication Prediction Model in Multiprocessors based on Robust Estimation (로버스트 추정을 이용한 다중 프로세서에서의 데이터 통신 예측 모델)

  • Jun Janghwan;Lee Kangwoo
    • The KIPS Transactions:PartA
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    • v.12A no.3 s.93
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    • pp.243-252
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    • 2005
  • This paper introduces a noble modeling technique to build data communication prediction models in multiprocessors, using Least-Squares and Robust Estimation methods. A set of sample communication rates are collected by using a few small input data sets into workload programs. By applying estimation methods to these samples, we can build analytic models that precisely estimate communication rates for huge input data sets. The primary advantage is that, since the models depend only on data set size not on the specifications of target systems or workloads, they can be utilized to various systems and applications. In addition, the fact that the algorithmic behavioral characteristics of workloads are reflected into the models entitles them to model diverse other performance metrics. In this paper, we built models for cache miss rates which are the main causes of data communication in shared memory multiprocessor systems. The results present excellent prediction error rates; below $1\%$ for five cases out of 12, and about $3\%$ for the rest cases.

Iterative Data Completion for Limited Angle Tomography using Filtered Backprojection (각도 제한 단층영상재구성을 위한 여현 역투사 기반 반복적 데이터 완결 기법)

  • Lee, Nam-Yong
    • Journal of Korea Multimedia Society
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    • v.12 no.3
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    • pp.372-382
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    • 2009
  • When the range of projection angles is limited, tomographic reconstruction suffers from artifacts caused by incomplete data. One can consider a data completion technique, which estimates projection data at unobserved angles using a prior knowledge or mathematical exploration, but the result is often not improved; the improvement by the data completion often undermined by the artifacts by inaccurate estimation, In this paper, we propose an iterative method, which computes projection data at unobserved angles by using the current estimate on the image, links the computed projection data to the observed ones by using the consistence condition of Radon transform, and reconstruct the next estimate on the image by filtered backprojection. The proposed method does not require a prior knowledge on the image, and has much faster approximation rate than the expectation maximization method. The performance of the proposed method was tested through several simulation studies.

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