• Title/Summary/Keyword: Decision Threshold

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A Study on Adaptive Model Updating and a Priori Threshold Decision for Speaker Verification System (화자 확인 시스템을 위한 적응적 모델 갱신과 사전 문턱치 결정에 관한 연구)

  • 진세훈;이재희;강철호
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.5
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    • pp.20-26
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    • 2000
  • In speaker verification system the HMM(hidden Markov model) parameter updating using small amount of data and the priori threshold decision are crucial factor for dealing with long-term variability in people voices. In the paper we present the speaker model updating technique which can be adaptable to the session-to-intra speaker variability and the priori threshold determining technique. The proposed technique decreases verification error rates which the session-to-session intra-speaker variability can bring by adapting new speech data to speaker model parameter through Baum Welch re-estimation. And in this study the proposed priori threshold determining technique is decided by a hybrid score measurement which combines the world model based technique and the cohen model based technique together. The results show that the proposed technique can lead a better performance and the difference of performance is small between the posteriori threshold decision based approach and the proposed priori threshold decision based approach.

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Buffer Management Mechanism Using DT-DFBA Algorithm for GFR Service (GFR 서비스를 위한 DT-DFBA 버퍼관리 메커니즘)

  • 안상규;최승권;신승수;조용환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.5C
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    • pp.474-485
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    • 2002
  • To keep simplicity that needs for GFR service and improve fairness of FIFO based buffer management algorithm, we propose a new LBO threshold decision mechanism. Proposed mechanism uses dynamic threshold that are adjusted according to the sum of active VC's weight. We reformed DT-DFBA(Differential Threshold-Differential Fair Buffer Allocation) algorithm using proposed LBO threshold decision mechanism with existing DFBA algorithm.

Interference Management Method using Threshold-Based Region Decision for IMT-Advanced Systems (IMT-Advanced 시스템을 위한 문턱 값 기반 영역 결정을 통한 셀 간섭 관리 기법)

  • Yoon, Gil-Sang;Lee, Jeong-Hwan;Seo, Chang-Woo;Cho, In-Sik;You, Cheol-Woo;Hwang, In-Tae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.7A
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    • pp.548-553
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    • 2009
  • The aim of 4G mobile communication systems is to connect arbitrary devices to high-speed network anytime, anywhere. Cellular system must solve the problem of inter-cell interference caused by frequency reuse for meeting needs of 4G. In this paper, to solve interference problem we propose the algorithm, the so-called Threshold-Based Region Decision (TBRD) and analyze characteristics and performance of the proposed algorithm through simulation. The proposed technique has high applicability and flexibility due to simple construction using only existing UE measurement, and achieves performance improvement through the threshold that can be easily controlled.

A threshold decision of the object image by using the smart tag

  • Im, Chang-Jun;Kim, Jin-Young;Joung, Kwan-Young;Lee, Ho-Gil
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2368-2372
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    • 2005
  • We proposed a novel method for object recognition using the Smart tag system in the previous research. We identified the object easily, but could not assure the object pose, because the threshold problem was not solved. So we propose a new method to solve this threshold problem. This method uses a smart tag to decide the threshold by recording color information of the image when the object feature is extracted. This method records the original of the object color information at the smart tag first. And then it records the object image information, the circumstance image information and the sensors information continuously when the object feature is extracted through the experiments. Finally, it estimates the current threshold by recorded information. This method can be applied the threshold to each objects. And it can solve the difficult threshold decision problem easily. To approve the possibility of our method, we implemented our approach by using easy and simple techniques as possible.

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Navigation safety domain and collision risk index for decision support of collision avoidance of USVs

  • Zhou, Jian;Ding, Feng;Yang, Jiaxuan;Pei, Zhengqiang;Wang, Chenxu;Zhang, Anmin
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.340-350
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    • 2021
  • This paper proposes a decision support model for USVs to improve the accuracy of collision avoidance decision-making. It is formed by Navigation Safety Domain (NSD) and domain-based Collision Risk Index (CRI), capable of determining the collision stage and risk between multiple ships. The NSD is composed of a warning domain and a forbidden domain, which is constructed under the constraints of COLREGs (International Regulations for Preventing Collisions at Sea). The proposed domain based CRI takes the radius of NSD in various encounter situations as threshold parameters. It is found that the value of collision risk in any directions can be calculated, including actual value and risk threshold. A catamaran USV and 6 given vessels are taken as study objects to validate the proposed model. It is found that the judgment of collision stage is accurate and the azimuth range of risk exists can be detected, hence the ships can take direct and effective collision avoidance measures. According to the relation between the actual value of CRI and risk threshold, the decision support rules are summarized, and the specific terms of COLREGs to be followed in each encounter situation are given.

Reduction of the Power Penalty Induced by Low-Frequency Tone Using Variable Decision Threshold Technique

  • Lee, Chang-Hee;Kim, Sung-Man;Baik, Jin-Serk;Park, Kun-Youl
    • Journal of the Optical Society of Korea
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    • v.6 no.3
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    • pp.105-107
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    • 2002
  • We propose 'variable decision threshold technique' to decrease the power penalty induced by low-frequency tones. The proposed scheme uses a simple low-speed receiver to change the decision threshold of the optical receiver according to the low-frequency tones. We demonstrate the proposed method at 2.5 Gb/s.

Automatic Threshold-decision Algorithm using the Average and Standard Deviation (평균과 표준편차를 이용한 자동 임계치-결정 알고리즘)

  • Ko, Kyong-Cheol;Rhee, Yang-Won
    • The Journal of Korean Association of Computer Education
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    • v.8 no.6
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    • pp.103-111
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    • 2005
  • This paper presents a novel automated threshold-decision algorithm that uses the mean and standard-deviation values obtained from the difference values of consecutive frames. At first, the calculation of difference values is obtained by the weighted ${\chi}^2$-test algorithm which was modified by joining color histogram to ${\chi}^2$-test algorithm. The weighted ${\chi}^2$-test algorithm can subdivide the difference values by imposing weights according to NTSC standard. In the first step, the proposed automatic threshold-decision algorithm calculates the mean and standard-deviation value from the total difference values, and then subtracts the mean value from the each difference values. In the next step, the same process is performed on the remained difference values, and lastly, the threshold is detected from the mean when the standard deviation has a maximum value. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method efficiently estimates the thresholds and reliably detects scene changes.

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Selective Demodulation Scheme Based on Log-Likelihood Ratio Threshold

  • Huang, Yuheng;Dong, Yan;Jo, Minho;Liu, Yingzhuang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.4
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    • pp.767-783
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    • 2013
  • This paper aims at designing a selective demodulation scheme based on Log-likelihood Ratio threshold (SDLT) instead of the conventional adaptive demodulation (ADM) scheme, by using rateless codes. The major difference is that the Log-likelihood ratio (LLR) threshold is identified as a key factor to control the demodulation rate, while the ADM uses decision region set (DRS) to adjust the bit rate. In the 16-QAM SDLT scheme, we deduce the decision regions over an additive white Gaussian channel, corresponding to the variation of LLR threshold and channel states. We also derived the equations to calculate demodulation rate and bit error rate (BER), which could be proven by simulation results. We present an adaptation strategy for SDLT, and compare it with ADM and adaptive modulation (AM). The simulation results show that our scheme not only significantly outperforms the ADM in terms of BER, but also achieves a performance as good as the AM scheme. Moreover, the proposed scheme can support much more rate patterns over a wide range of channel states.

The Automated Threshold Decision Algorithm for Node Split of Phonetic Decision Tree (음소 결정트리의 노드 분할을 위한 임계치 자동 결정 알고리즘)

  • Kim, Beom-Seung;Kim, Soon-Hyob
    • The Journal of the Acoustical Society of Korea
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    • v.31 no.3
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    • pp.170-178
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    • 2012
  • In the paper, phonetic decision tree of the triphone unit was built for the phoneme-based speech recognition of 640 stations which run by the Korail. The clustering rate was determined by Pearson and Regression analysis to decide threshold used in node splitting. Using the determined the clustering rate, thresholds are automatically decided by the threshold value according to the average clustering rate. In the recognition experiments for verifying the proposed method, the performance improved 1.4~2.3 % absolutely than that of the baseline system.