• 제목/요약/키워드: delay term

검색결과 316건 처리시간 0.036초

DELAY M9 탄약의 신뢰도 및 저장수명 연구 (A Study on Reliability and Shelf-Life of DELAY M9)

  • 이정호;최재성
    • 한국산학기술학회논문지
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    • 제21권9호
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    • pp.64-72
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    • 2020
  • 지연관 M9 탄약은 항공용 투하탄의 신관(M904, M905)과 결합하여 사용되는 탄약이다. 탄약의 특성 상 한 번 사용하면 더 이상 재현이 불가능하고 동시에 파괴되므로 실제 사용 전에는 탄약의 성능이나 안정성을 확인할 수 없다. 군에서 사용 중인 탄약의 운용 특성 상 장기간의 저장이 불가피하며, 필요시 즉각 사용을 위해 저장된 탄약의 성능 유지 및 확인을 위한 시험평가가 요구된다. 본 논문은 과거부터 현 시점까지 수행한 저장탄약신뢰성평가(ASRP : Ammunition Stockpile Reliability Program)를 통해 확보한 시험 데이터를 이용하여 지연관 M9 탄약의 신뢰도 및 저장수명을 추정한 연구 결과이다. 현재 저장하고 있는 지연관 M9 탄약에 대해 성능 평가 시험 결과를 분석하고, 저장기간 및 생산연도에 따라 결점 수 추이를 살펴봄으로써 탄약의 신뢰도와 저장수명을 추정하였다. 본 연구 결과는 향후 지연관 M9에 대한 저장신뢰성평가 계획 수립 및 평가 시험, 결과 분석, 그리고 탄약 상태 판단 등 탄약 운영에 활용할 수 있을 것이다.

시간지연 회귀 신경회로망을 이용한 피치 악센트 인식 (Automatic Recognition of Pitch Accents Using Time-Delay Recurrent Neural Network)

  • Kim, Sung-Suk;Kim, Chul;Lee, Wan-Joo
    • The Journal of the Acoustical Society of Korea
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    • 제23권4E호
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    • pp.112-119
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    • 2004
  • This paper presents a method for the automatic recognition of pitch accents with no prior knowledge about the phonetic content of the signal (no knowledge of word or phoneme boundaries or of phoneme labels). The recognition algorithm used in this paper is a time-delay recurrent neural network (TDRNN). A TDRNN is a neural network classier with two different representations of dynamic context: delayed input nodes allow the representation of an explicit trajectory F0(t), while recurrent nodes provide long-term context information that can be used to normalize the input F0 trajectory. Performance of the TDRNN is compared to the performance of a MLP (multi-layer perceptron) and an HMM (Hidden Markov Model) on the same task. The TDRNN shows the correct recognition of $91.9{\%}\;of\;pitch\;events\;and\;91.0{\%}$ of pitch non-events, for an average accuracy of $91.5{\%}$ over both pitch events and non-events. The MLP with contextual input exhibits $85.8{\%},\;85.5{\%},\;and\;85.6{\%}$ recognition accuracy respectively, while the HMM shows the correct recognition of $36.8{\%}\;of\;pitch\;events\;and\;87.3{\%}$ of pitch non-events, for an average accuracy of $62.2{\%}$ over both pitch events and non-events. These results suggest that the TDRNN architecture is useful for the automatic recognition of pitch accents.

MSVQ/TDRNN을 이용한 음성인식 (Speech Recognition Using MSVQ/TDRNN)

  • 김성석
    • 한국음향학회지
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    • 제33권4호
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    • pp.268-272
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    • 2014
  • 본 논문에서는 MSVQ(Multi-Section Vector Quantization)와 시간지연 회귀 신경회로망(TDRNN)을 이용한 하이브리드 구조의 음성인식 방법을 제안한다. MSVQ는 음성의 길이를 일정한 구간 수로 정규화한 코드북을 생성하고, 시간지연 회귀 신경회로망은 이 코드북을 이용하여 음성을 인식한다. 시간지연 회귀 신경회로망은 음성의 시계열 문맥정보를 잘 학습할 수 있는 구조로 구성되었다. 음성특징으로 인지선형예측(PLP) 계수가 사용되었다. 음성인식 실험을 수행한 결과 MSVQ/TDRNN 음성인식기는 97.9 %의 화자독립 음성 인식률을 보였다.

전력설비의 안정한 운용을 위한 3상 능동전력필터의 강인한 내부모델제어 (Robust Internal Model Control of Three-Phase Active Power Filter for Stable Operation in Electric Power Equipment)

  • 박지호;김동완
    • 전기학회논문지
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    • 제62권10호
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    • pp.1487-1493
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    • 2013
  • A new simple control method for active power filter, which can realize the complete compensation of harmonics is proposed. In the proposed scheme, a model-based digital current control strategy is presented. The proposed control system is designed and implemented in a form referred to as internal model control structure. This method provides a convenient way for parameterizing the controller in term of the nominal system model, including time-delays. As a result, the resulting controller parameters are directly set based on the power circuit parameters, which make tuning of the controllers straightforward task. In the proposed control algorithm, overshoots and oscillations due to the computation time delay is prevented by explicit incorporating of the delay in the controller transfer function. In addition, a new compensating current reference generator employing resonance model implemented by a DSP(Digital Signal Processor) is introduced. Resonance model has an infinite gain at resonant frequency, and it exhibits a band-pass filter. Consequently, the difference between the instantaneous load current and the output of this model is the current reference signal for the harmonic compensation.

Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 ㎛ CMOS Process

  • Jin, Jungdong;Jin, Seunghun;Lee, SangJun;Kim, Hyung Soon;Choi, Jong Suk;Kim, Munsang;Jeon, Jae Wook
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제14권2호
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    • pp.175-183
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    • 2014
  • In this paper, we present the design and implementation of real-time sound localization based on $0.13{\mu}m$ CMOS process. Time delay of arrival (TDOA) estimation was used to obtain the direction of the sound signal. The sound localization chip consists of four modules: data buffering, short-term energy calculation, cross correlation, and azimuth calculation. Our chip achieved real-time processing speed with full range ($360^{\circ}$) using three microphones. Additionally, we developed a dedicated sound localization circuit (DSLC) system for measuring the accuracy of the sound localization chip. The DSLC system revealed that our chip gave reasonably accurate results in an experiment that was carried out in a noisy and reverberant environment. In addition, the performance of our chip was compared with those of other chip designs.

Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source

  • Deng, Qingyong;Li, Xueming;Li, Zhetao;Liu, Anfeng;Choi, Young-june
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권12호
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    • pp.5712-5728
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    • 2017
  • Recently, there are many studies, that considering green wireless cellular networks, have taken the energy consumption of the base station (BS) into consideration. In this work, we first introduce an energy consumption model of multi-mode sharing BS powered by multiple energy sources including renewable energy, local storage and power grid. Then communication load requests of the BS are transformed to energy demand queues, and battery energy level and worst-case delay constraints are considered into the virtual queue to ensure the network QoS when our objective is to minimize the long term electricity cost of BSs. Lyapunov optimization method is applied to work out the optimization objective without knowing the future information of the communication load, real-time electricity market price and renewable energy availability. Finally, linear programming is used, and the corresponding energy efficient scheduling policy is obtained. The performance analysis of our proposed online algorithm based on real-world traces demonstrates that it can greatly reduce one day's electricity cost of individual BS.

가상 운전 인터페이스를 활용한 자동차 협력 원격조종 (Shared Vehicle Teleoperation using a Virtual Driving Interface)

  • 김재석;이광현;유지환
    • 제어로봇시스템학회논문지
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    • 제21권3호
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    • pp.243-249
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    • 2015
  • In direct vehicle teleoperation, a human operator drives a vehicle at a distance through a pair of master and slave device. However, if there is time delay, it is difficult to remotely drive the vehicle due to slow response. In order to address this problem, we introduced a novel methodology of shared vehicle teleoperation using a virtual driving interface. The methodology was developed with four components: 1) virtual driving environment, 2) interface for virtual driving environment, 3) path generator based on virtual driving trajectory, 4) path following controller. Experimental results showed the effectiveness of the proposed approach in simple and cluttered driving environment as well. In the experiments, we compared two sampling methods, fixed sampling time and user defined instant, and finally merged method showed best remote driving performance in term of completion time and number of collision.

Search-based Sentiment and Stock Market Reactions: An Empirical Evidence in Vietnam

  • Nguyen, Du D.;Pham, Minh C.
    • The Journal of Asian Finance, Economics and Business
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    • 제5권4호
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    • pp.45-56
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    • 2018
  • The paper aims to examine relationships between search-based sentiment and stock market reactions in Vietnam. This study constructs an internet search-based measure of sentiment and examines its relationship with Vietnamese stock market returns. The sentiment index is derived from Google Trends' Search Volume Index of financial and economic terms that Vietnamese searched from January 2011 to June 2018. Consistent with prediction from sentiment theories, the study documents significant short-term reversals across three major stock indices. The difference from previous literature is that Vietnam stock market absorbs the contemporaneous decline slower while the subsequent rebound happens within a day. The results of the study suggest that the sentiment-induced effect is mainly driven by pessimism. On the other hand, optimistic investors seem to delay in taking their investment action until the market corrects. The study proposes a unified explanation for our findings based on the overreaction hypothesis of the bearish group and the strategic delay of the optimistic group. The findings of the study contribute to the behavioral finance strand that studies the role of sentiment in emerging financial markets, where noise traders and limits to arbitrage are more obvious. They also encourage the continuous application of search data to explore other investor behaviors in securities markets.

Phase Switching Mechanism for WiFi-based Long Distance Networks in Industrial Real-Time Applications

  • Wang, Jintao;Jin, Xi;Zeng, Peng;Wang, Zhaowei;Wan, Ming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권1호
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    • pp.78-101
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    • 2017
  • High-quality industrial control is critical to ensuring production quality, reducing production costs, improving management levels and stabilizing equipment and long-term operations. WiFi-based Long Distance (WiLD) networks have been used as remote industrial control networks. Real-time performance is essential to industrial control. However, the original mechanism of WiLD networks does not minimize end-to-end delay and restricts improvement of real-time performance. In this paper, we propose two algorithms to obtain the transmitting/receiving phase cycle length for each node such that real time constraints can be satisfied and phase switching overhead can be minimized. The first algorithm is based on the branch and bound method, which identifies an optimal solution. The second is a fast heuristic algorithm. The experimental results show that the execution time of the algorithm based on branch and bound is less than that of the heuristic algorithm when the network is complex and that the performance of the heuristic algorithm is close to the optimal solution.

Performance Analysis of an ATM MUX with a New Space Priority Mechanism under ON-OFF Arrival Processes

  • Bang, Jongho;Ansari, Nirwan;Tekinay, Sirin
    • Journal of Communications and Networks
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    • 제4권2호
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    • pp.128-135
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    • 2002
  • We propose a new space priority mechanism, and analyze its performance in a single Constant Bit Rate (CBR) server. The arrival process is derived from the superposition of two types of traffics, each in turn results from the superposition of homogeneous ON-OFF sources that can be approximated by means of a two-state Markov Modulated Poisson Process (MMPP). The buffer mechanism enables the Asynchronous Transfer Mode (ATM) layer to adapt the quality of the cell transfer to the Quality of Service (QoS) requirements and to improve the utilization of network resources. This is achieved by "Selective-Delaying and Pushing-ln"(SDPI) cells according to the class they belong to. The scheme is applicable to schedule delay-tolerant non-real time traffic and delay-sensitive real time traffic. Analytical expressions for various performance parameters and numerical results are obtained. Simulation results in term of cell loss probability conform with our numerical analysis.