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Improved Minimum Statistics Based on Environment-Awareness for Noise Power Estimation (환경인식 기반의 향상된 Minimum Statistics 잡음전력 추정기법)

  • Son, Young-Ho;Choi, Jae-Hun;Chang, Joon-Hyuk
    • The Journal of the Acoustical Society of Korea
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    • v.30 no.3
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    • pp.123-128
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    • 2011
  • In this paper, we propose the improved noise power estimation in speech enhancement under various noise environments. The previous MS algorithm tracking the minimum value of finite search window uses the optimal power spectrum of signal for smoothing and adopts minimum probability. From the investigation of the previous MS-based methods it can be seen that a fixed size of the minimum search window is assumed regardless of the various environment. To achieve the different search window size, we use the noise classification algorithm based on the Gaussian mixture model (GMM). Performance of the proposed enhancement algorithm is evaluated by ITU-T P.862 perceptual evaluation of speech quality (PESQ) under various noise environments. Based on this, we show that the proposed algorithm yields better result compared to the conventional MS method.

Big Data Analysis of Software Performance Trend using SPC with Flexible Moving Window and Fuzzy Theory (가변 윈도우 기법을 적용한 통계적 공정 제어와 퍼지추론 기법을 이용한 소프트웨어 성능 변화의 빅 데이터 분석)

  • Lee, Dong-Hun;Park, Jong-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.11
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    • pp.997-1004
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    • 2012
  • In enterprise software projects, performance issues have become more critical during recent decades. While developing software products, many performance tests are executed in the earlier development phase against the newly added code pieces to detect possible performance regressions. In our previous research, we introduced the framework to enable automated performance anomaly detection and reduce the analysis overhead for identifying the root causes, and showed Statistical Process Control (SPC) can be successfully applied to anomaly detection. In this paper, we explain the special performance trend in which the existing anomaly detection system can hardly detect the noticeable performance change especially when a performance regression is introduced and recovered again a while later. Within the fixed number of sampling period, the fluctuation gets aggravated and the lower and upper control limit get relaxed so that sometimes the existing system hardly detect the noticeable performance change. To resolve the issue, we apply dynamically tuned sampling window size based on the performance trend, and Fuzzy theory to find an appropriate size of the moving window.

Acquisition of Direct-Sequence Cellular Communication System for Code Division Mutlipie Access (부호 분할 다원 접속을 위한 직접 확산 셀룰라 통신 시스팀의 동기)

  • 전정식;한영열
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.2
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    • pp.207-217
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    • 1993
  • In this paper, knowing a priori probability of phase offset between transmitted codes and reference codes in the receiver, we construct the state diagram of acquisition process of the direct sequence spread-spectrum communication system using the expanding window search. The scannings are performed from the cell with higher probability code epoch synchronization to that with lower one. We expand window size from initial value by r times of its previous size in each search, construct the corresponding the state diagrams, and derive average synchronization time using the Markov process and Mason's gain formula. Average synchronization times versus number of search n and detection probability $P_d$ are calculated.

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SENSITIVITY ANALYSIS ABOUT THE METHODS OF UTILIZING THE HIGH RESOLUTION CLIMATE MODEL SIMULATION FOR KOREAN WATER RESOURCES PLANNING (II) : NUMERICAL EXPERIMENTS

  • Jeong, Chang-Sam;Hwang, Man-Ha;Ko, Ick-Hwan;Heo, Jun-Haeng;Bae, Deg-Hyo
    • Water Engineering Research
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    • v.6 no.2
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    • pp.73-89
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    • 2005
  • Two kinds of high resolution GCMs with the same spatial resolutions but with different schemes run by domestic and foreign agencies are used to clarify the usefulness and sensitivity of GCM for water resources applications for Korea. One is AMIP-II (Atmospheric Model Intercomparison Project-II) type GCM simulation results done by ECMWF (European Centre for Medium-Range Weather Forecasts) and the other one is AMIP-I type GCM simulation results done by METRI (Korean Meteorological Research Institute). Observed mean areal precipitation, temperature, and discharge values on 7 major river basins were used for target variables. Monte Carlo simulation was used to establish the significance of the estimator values. Sensitivity analyses were done in accordance with the proposed ways. Through the various tests, discrimination condition is sensitive for the distribution of the data. Window size is sensitive for the data variation and the area of the basins. Discrimination abilities of each nodal value affects on the correct association. In addition to theses sensitivity analyses results, we also noticed some characteristics of each GCM. For Korean water resources, monthly and small window setting analyses are recommended using GCMs.

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Efficient Power Management Mechanism considering Network Characteristic in 802.11 (802.11에서 네트워크 특성을 고려한 전력 감소 기법)

  • Nam, Jae-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.475-477
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    • 2010
  • In the power saving mechanism specified in IEEE 802.11, all node use the sam ATIM window size. Since the ATIM window size critically affects throughput and energy consumption, a fixed ATIM window does not perform well in all situations. This paper proposes the efficient power management mechanism considering network characteristic in 802.11. To reflect the network characteristic, the paper uses th (m,k)-firm deadline technique. Simulation result shows that proposed mechanism outperforms the IEEE 802.11 power saving mechanism in terms of the amount of power consumed.

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A Study on Optimization of Support Vector Machine Classifier for Word Sense Disambiguation (단어 중의성 해소를 위한 SVM 분류기 최적화에 관한 연구)

  • Lee, Yong-Gu
    • Journal of Information Management
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    • v.42 no.2
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    • pp.193-210
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    • 2011
  • The study was applied to context window sizes and weighting method to obtain the best performance of word sense disambiguation using support vector machine. The context window sizes were used to a 3-word, sentence, 50-bytes, and document window around the targeted word. The weighting methods were used to Binary, Term Frequency(TF), TF ${\times}$ Inverse Document Frequency(IDF), and Log TF ${\times}$ IDF. As a result, the performance of 50-bytes in the context window size was best. The Binary weighting method showed the best performance.

A Study on the Characteristics of Fire Resistance of Window Material in Compartment Fire (건물화재시 창문재료에 따른 내화특성 연구)

  • Hur, Man-Sung;Jang, Moon-Seok;Cho, Soo
    • Fire Science and Engineering
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    • v.17 no.1
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    • pp.62-67
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    • 2003
  • The full-scale compartment fire tests were carried out to evaluate the characteristics of fire resistance of window material under actual fire conditions. The room size used for full-scale room fire tests was 4 by 3.8 m with 2.4 m high ceiling. The windows with PVC, Aluminum and AL+Wood frame materials were established, sofa and mattress were used as fire sources. The window contained pair glasses with the air between 6 mm glasses. Temperatures at total 32 points in the room were measured to find the temperature distribution in the room fire. It is examined that thermal effects on window frame materials such as charring, distortion, melting, structural collapse, and other effects.

A study on improvement of leaky bucket UPC algorithm in ATM networks (ATM 망에서의 Leaky Bucket UPC 알고리즘의 성능 개선에 관한 연구)

  • 심영진;박성곤;조용환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.5
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    • pp.1116-1125
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    • 1997
  • In this paper, the modified UPC(Usage Parameter Control) algorithm is proposed. The proposed UPC algorithm is based on Leakey Bucket algorithm and adds the characteristics of the jumping window algorithm for monitoring the average bit rate. The proposed algorithm let a cell, which is tagged by Leaky Bucket algorithm, pass through the network, if the network does not violate the average bit rate. The measuring method of window mechanism like jumping window. This paper supposes On/Off traffic source model of rthe performance evaluation and analysis of the proposed algorithm. Therefore, as simulation results, the proposed algorithm acquires more reduced results of the cell loss rate and bucket size than the Leaky Bucket algorithm.

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Window-based Congestion Control for Wireless TCP

  • Byun, Hee-Jung;Lim, Jong-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2405-2407
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    • 2003
  • We propose a feedback-based congestion control algorithm for the wireless TCP network. In this paper, we present a new TCP protocol to control the congestion window size. In particular, the asymptotic analysis of the wireless TCP is presented. Through simulations, our algorithm shows an improvement of TCP’s performance in wireless networks.

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ON A GENERALIZED APERIODIC PERFECT MAP

  • KIM, SANG-MOK
    • Communications of the Korean Mathematical Society
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    • v.20 no.4
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    • pp.685-693
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    • 2005
  • An aperiodic perfect map(APM) is an array with the property that every array of certain size, called a window, arises exactly once as a contiguous subarray in the array. In this article, we deal with the generalization of APM in higher dimensional arrays. First, we reframe all known definitions onto the generalized n-dimensional arrays. Next, some elementary known results on arrays are generalized to propositions on n-dimensional arrays. Finally, with some devised integer representations, two constructions of infinite family of n-dimensional APMs are generalized from known 2-dimensional constructions in [7].