• Title/Summary/Keyword: Multi-termination method

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Multi-Termination Technique for the Measurement of Characteristic Impedance and Propagation Constant of Sound Absorbing Materials Using an Impedance Tube

  • Lee, Jong-Hwa;Ih, Jeong-Guon
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.2E
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    • pp.79-84
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    • 2006
  • Acoustic characteristics of a sound absorbing material can be identified, if the characteristic impedance and propagation constants are known, which have generally been determined experimentally. One easy method determining these two essential parameters is to measure the one dimensional wave characteristics in the impedance tube. In th udy, the effects of backing conditions on the impedance tube measurement have been examined using several pairs of generally used end conditions. The results showed that the measured values are similar for most pairs of end conditions: however, it was observed that the measured characteristic impedance for different thickness did not agree well for some pairs. In this work, the multi termination method, using three or more known backing con ns, was suggested to reduce such random errors, which are mostly caused by the test procedure. Employing three terminations as a set, comprised of a rigid end, an end with porous material, and an end with a backing cavity, it was demonstrated that improved measured results could be obtained for an open cell PU foam varying widely with three different thicknesses.

An Effective Early Termination Motion Estimation Method for Multi-view Video Coding (다시점 비디오 부호화를 위한 효과적인 초기 종료 움직임 추정 기법)

  • Yoon, Hyo-Sun;Kim, Mi-Young
    • Journal of Korea Multimedia Society
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    • v.17 no.3
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    • pp.333-341
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    • 2014
  • Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. Multi-view video coding requires high computational complexity. To reduce computational complexity and maintain the image quality, an effective early termination motion estimation method is proposed in this paper. The proposed method exploiting the characteristic of motion vector distribution uses a hierarchical search strategy. This strategy method consists of multi-grid square search pattern, modified diamond search pattern, small diamond search pattern and raster search pattern. Experiment results show that the speedup improvement of the proposed method over TZ search method and FS(Full Search) method JMVC (Joint Multiview Video Coding) can be up to 1.7~4.5 times and 90 times faster respectively while maintaining similar video quality and bit rates.

Signal Reflection Elimination Technique for Interconnects in Digital System (디지털시스템 내의 연결선에서 발생하는 신호 반사 제거 기법)

  • Sung, Bang-Hyun;Noh, Kyung-Woo;Baek, Jong-Humn;Kim, Seok-Yoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.3
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    • pp.416-420
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    • 2008
  • This paper proposes a new method to improve signal characteristics at branches frequently met in system-level routing. We also introduce the numerical formula which can estimate the time delay due to branches and the simple design guideline for system-level routing. Finally, we propose the routing method which can eliminate the signal reflection for the case of one driver and two receivers (multi-drop topology).

Impedance Tube Measurements of Sound Absorbing Materials: Sensitivity Analysis on Backing Conditions (임피던스 관을 이용한 흡음재의 특성 임피던스 측정: 배후조건에 따른 민감도 분석)

  • 이종화;이정권;박봉현;김병훈
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.888-891
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    • 2001
  • Effects of backing conditions on the impedance tube measurement are investigated experimentally, by using several pairs of generally employed end conditions. The results show that the measured values are similar for most of pairs, except the case of using an open pipe condition. In addition, the random error is investigated in the viewpoint of the variation of test conditions. The multi-termination method is suggested for minimizing such a random error.

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Performance Analysis of a Cellular Mobile Communication System with Hybrid Guard Channels (Hybrid 가드채널이 있는 이동통신시스템이 성능 평가)

  • Hong, Sung-Jo;Choi, Jin-Yeong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.4
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    • pp.100-106
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    • 2006
  • We analyze a voice/data integrated traffic model of the cellular mobile communication system with hybrid guard channels for voice and handoff calls. In a multi-service integrated wireless environment, quality of service guarantee is crucial for smooth transportation of real time information. Real time voice traffic requires a guaranteed upper bounded on both delay and packet error rate, whereas data traffic does not. Voice traffic has high transmission priority over data packets. Thus one of the important problems is the design of admission control schemes which can efficiently accommodate the differential quality of service requirements. In this paper, a hybrid guard channel scheme is considered in which arriving calls are assigned channels as long as the number of busy channels in the cell is below a predetermined first threshold. When the number of busy channels reaches the first threshold, new originating data calls are queued in the infinite data buffer. Then reaches second threshold, only handoff calls are assigned the remaining channels and new originating voice calls are blocked. We evaluate the system by a two-dimensional Markov chain approach and generating function method and obtain performance measures included blocking probability and forced termination probability.

An Efficient H.264/AVC Encoding Using GOP Based Adaptive Inter Prediction (GOP 기반의 적응적 인터 예측을 이용한 다시점 비디오의 효율적인 H.264/AVC 부호화)

  • Lee, Jung-Ho;Cho, Ik-Hwan;Lee, Woong-Ho;Jeong, Dong-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.12C
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    • pp.1224-1231
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    • 2006
  • This paper proposes a fast encoding algorithm of H.264/AVC multi-view video coding. The amount of data to be encoded for a multi-view video is much more than normal video's data, and the amount of information to be predicted is enormous because of the multi-view video coding uses inter-disparity prediction in addition to inter-motion prediction in conventional video coding. We noticed through an experiment that the efficiency of prediction is getting better in order of intra, inter-disparity, inter-motion, and inter-skip, and proposes a early termination algorithm by means of estimate the adaptive threshold within a GOP unit. In the experiments, the proposed algorithm shows improved processing speed about 32% compared to existing method, and increased amount of bits and distortions are relatively disregardable.

Template-Matching-based High-Speed Face Tracking Method using Depth Information (깊이 정보를 이용한 템플릿 매칭 기반의 고속 얼굴 추적 방법)

  • Kim, Wooyoul;Seo, Youngho;Kim, Dongwook
    • Journal of Broadcast Engineering
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    • v.18 no.3
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    • pp.349-361
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    • 2013
  • This paper proposes a fast face tracking method with only depth information. It is basically a template matching method, but it uses a early termination scheme and a sparse search scheme to reduce the execution time to solve the problem of a template matching method, large execution time. Also a refinement process with the neighboring pixels is incorporated to alleviate the tracking error. The depth change of the face being tracked is compensated by predicting the depth of the face and resizing the template. Also the search area is adjusted on the basis of the resized template. With home-made test sequences, the parameters to be used in face tracking are determined empirically. Then the proposed algorithm and the extracted parameters are applied to the other home-made test sequences and a MPEG multi-view test sequence. The experimental results showed that the average tracking error and the execution time for the home-made sequences by Kinect ($640{\times}480$) were about 3% and 2.45ms, while the MPEG test sequence ($1024{\times}768$) showed about 1% of tracking error and 7.46ms of execution time.

Output Characteristic of a Flexible Tactile Sensor Manufactured by 3D Printing Technique (3D 프린팅 방법으로 제작된 유연 촉각센서의 출력 특성 분석)

  • Jin, Seung Ho;Lee, Ju Kyoung;Lee, Suk;Lee, Kyung Chang
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.2
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    • pp.149-156
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    • 2014
  • Flexible tactile sensors can provide valuable feedback to intelligent robots about the environment. This is especially important when the robots, e.g., service robots, are sharing the workspace with human. This paper presents a flexible tactile sensor that was manufactured by direct writing technique, which is one of 3D printing method with multi-walled carbon nano-tubes. The signal processing system consists of two parts: analog circuits to amplify and filter the sensor output and digital signal processing algorithms to reduce undesired noise. Finally, experimental setup is implemented and evaluated to identify the characteristics of the flexible tactile sensor system. This paper showed that this type of sensors can detect the initiation and termination of contacts with appropriate signal processing.

Reconstruction of Terrestrial Water Storage of GRACE/GFO Using Convolutional Neural Network and Climate Data

  • Jeon, Woohyu;Kim, Jae-Seung;Seo, Ki-Weon
    • Journal of the Korean earth science society
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    • v.42 no.4
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    • pp.445-458
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    • 2021
  • Gravity Recovery and Climate Experiment (GRACE) gravimeter satellites observed the Earth gravity field with unprecedented accuracy since 2002. After the termination of GRACE mission, GRACE Follow-on (GFO) satellites successively observe global gravity field, but there is missing period between GRACE and GFO about one year. Many previous studies estimated terrestrial water storage (TWS) changes using hydrological models, vertical displacements from global navigation satellite system observations, altimetry, and satellite laser ranging for a continuity of GRACE and GFO data. Recently, in order to predict TWS changes, various machine learning methods are developed such as artificial neural network and multi-linear regression. Previous studies used hydrological and climate data simultaneously as input data of the learning process. Further, they excluded linear trends in input data and GRACE/GFO data because the trend components obtained from GRACE/GFO data were assumed to be the same for other periods. However, hydrological models include high uncertainties, and observational period of GRACE/GFO is not long enough to estimate reliable TWS trends. In this study, we used convolutional neural networks (CNN) method incorporating only climate data set (temperature, evaporation, and precipitation) to predict TWS variations in the missing period of GRACE/GFO. We also make CNN model learn the linear trend of GRACE/GFO data. In most river basins considered in this study, our CNN model successfully predicts seasonal and long-term variations of TWS change.

A Study on Integrated Production Planning of Distributed Manufacturing Systems on Supply Chain (공급사슬상의 분산 제조 시스템의 통합생산계획에 관한 연구)

  • Koh, Do-Sung;Yang, Yeong-Cheol;Jang, Yang-Ja;Park, Jin-Woo
    • IE interfaces
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    • v.13 no.3
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    • pp.378-387
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    • 2000
  • As the globalization of manufacturing companies continues, the scope of dependence between these companies and distributors, and other suppliers are growing very rapidly since no one company manufactures or distributes the whole product by themselves. And, the need to increase the efficiency of the whole supply chain is increasing. This paper deals with a multi-plant lot-sizing problem(MPLSP) which happens in a decentralized manufacturing system of a supply chain. In this study, we assume that the whole supply chain is driven by a single source of independent demand and many levels of dependent demands among manufacturing systems in the supply chain. We consider setup cost, transportation cost and time, and inventory holding cost as a decision factor in the MPLSP. The MPLSP is decomposed into two sub-problems: a planning problem of the whole supply chain and a lot-sizing problem of each manufacturing system. The supply chain planning problem becomes a pure linear programming problem and a Generalized Goal Decomposition method is used to solve the problem. Its result is used as a goal of the lot-sizing problem. The lot-sizing problem is solved using the CPLEX package, and then the coefficients of the planning problem are updated reflecting the lot-sizing solution. This procedure is repeated until termination criteria are met. The whole solution process is similar to Lagrangian relaxation method in the sense that the solutions are approaching the optimum in a recursive manner. Through experiments, the proposed closed-loop hierarchical planning and traditional hierarchical planning are compared to optimal solution, and it is shown that the proposed method is a very viable alternative for solving production planning problems of decentralized manufacturing systems and in other areas.

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