117,242 research outputs found

    MERCURY ORBIT CHART MOC-3

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    The following note accompanies this map and is signed by Walter: "This chart was given to me September 20, 1995 by Dr. John E. Dornbach of Seabrook, Texas. This is one of the two charts carried by Col. John H. Glenn on the first U.S. manned orbital flight in the Project Mercury Gemini capsule Friendship 7, February 20, 1962. The three-orbit flight covered approximately 130,000 km. in 4 hours, 55 minutes. Dr. Dornbach was the person responsible for producing this chart for Aeronautical Chart and Information Center at that time. Later he was transferred to N.A.S.A. to produce the Lunar lander maps and ultimately became the Director of the Earth Resources branch at NASA. John Dornbach was a classmate of mine in the Geography Graduate School at Clark University, Worcester, Mass. in 1950-52. Walter K. Morrison.

    EWMA Chart and Measurement Error

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    Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving linear covariates. We investigate the ability of the EWMA chart in the case of a shift in mean. The effect of taking multiple measurements on each sampled unit and the case of linearly increasing variance are also examined. We prove that, in the case of measurement error, the performance of the chart regarding the mean is significantly affected.Exponentially weighted moving average control chart, Average run length, Average time to signal, Measurement error, Markov chain, Statistical process control

    A Nonparametric Multivariate Control Chart Based on Data Depth

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    For the design of most multivariate control charts, it is assumed that the observations follow a multivariate normal distribution. In practice, this assumption is rarely satisfied. In this work, a distribution-free EWMA control chart for multivariate processes is proposed. This chart is based on equential rank of data depth measures. --

    Properties and uses of geologic materials in Indiana, Chart Supplemental

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    Regional Geographic Map - Chart Supplementa

    Robust kernel distance multivariate control chart using support vector principles

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    It is important to monitor manufacturing processes in order to improve product quality and reduce production cost. Statistical Process Control (SPC) is the most commonly used method for process monitoring, in particular making distinctions between variations attributed to normal process variability to those caused by ‘special causes’. Most SPC and multivariate SPC (MSPC) methods are parametric in that they make assumptions about the distributional properties and autocorrelation structure of in-control process parameters, and, if satisfied, are effective in managing false alarms/-positives and false- negatives. However, when processes do not satisfy these assumptions, the effectiveness of SPC methods is compromised. Several non-parametric control charts based on sequential ranks of data depth measures have been proposed in the literature, but their development and implementation have been rather slow in industrial process control. Several non-parametric control charts based on machine learning principles have also been proposed in the literature to overcome some of these limitations. However, unlike conventional SPC methods, these non-parametric methods require event data from each out-of-control process state for effective model building. The paper presents a new non-parametric multivariate control chart based on kernel distance that overcomes these limitations by employing the notion of one-class classification based on support vector principles. The chart is non-parametric in that it makes no assumptions regarding the data probability density and only requires ‘normal’ or in-control data for effective representation of an in-control process. It does, however, make an explicit provision to incorporate any available data from out-of-control process states. Experimental evaluation on a variety of benchmarking datasets suggests that the proposed chart is effective for process mo

    EXIT-chart optimized short block codes for iterative joint source and channel decoding in H.264 video telephony

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    In this paper, we propose a family of short block codes (SBCs) designed for guaranteed convergence in soft-bit-assisted iterative joint source and channel decoding, which facilitate improved iterative soft-bit source decoding (SBSD) and channel decoding. Data-partitioned (DP) H.264 source-coded video is used to evaluate the performance of our system using SBC-assisted SBSD, in conjunction with recursive systematic convolution (RSC) codes for transmission over correlated narrow-band Rayleigh fading channels. The effect of different SBC schemes having diverse minimum Hamming distances /i d//sub H,min/ and code rates on the attainable system performance is demonstrated, when using iterative SBSD and channel decoding, while keeping the overall bit rate budget constant by appropriately partitioning the total available bit rate budget between the source and channel codecs to improve the overall bit error rate (BER) performance and to enhance the objective video quality expressed in terms of peak signal-to-noise ratio (PSNR). EXtrinsic Information Transfer (EXIT) charts were used to analyze the attainable system performance. Explicitly, our experimental results show that the proposed error protection scheme using rate-1/3 SBCs having /i d//sub H,min/ = 6 outperforms the identical-rate SBCs having /i d//sub H,min/ = 3 by about 2.25 dB at the PSNR degradation point of 1 dB. Additionally, an /i Eb///i N//sub 0/ gain of 9 dB was achieved, compared with the rate-5/6 SBC having /i d//sub H,min/ = 2 and an identical overall code rate. Furthermore, an /i Eb///i N//sub 0/ gain of 25 dB is attained at the PSNR degradation point of 1 dB while using iterative soft-bit source and channel decoding with the aid of rate-1/3 SBCs relative to the identical-rate benchmarker

    Optimal design for inspection and maintenance policy based on the CCC chart

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    In this paper, the concept of cumulative count of conforming chart (CCC chart) is applied in inspection and maintenance planning for systems where minor inspection, major inspection, minor maintenance and major maintenance are available. Several inspection and maintenance plans are defined and studied quantitatively. Analytic expressions of relevant statistics and their expectations are derived. These inspection and maintenance plans are optimized from an economic consideration

    Exploiting Redundancy In Iterative H.264 Joint Source and Channel Decoding For Robust Video Transmission

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    In this paper we propose joint optimisation of soft-bit assisted iterative joint source and channel decoding with the aid of our proposed EXIT chart optimised redundant source mapping (RSM) designed for guaranteed convergence to achieve an infinitesimally low bit error ratio (BER). Data-Partitioned (DP) H.264 source coded video is used to evaluate the performance of our system employing an iterative combination of RSM assisted soft-bit source decoding (SBSD) and recursive systematic convolution codes (RSC) for transmission over correlated narrowband Rayleigh fading channels. EXIT Charts were utilised to analyse the effect of redundancy using different RSM schemes on the attainable system performance, while keeping the overall bit rate budget constant. Explicitly, our experimental results show that the proposed error protection scheme using RSM6 with dH,min = 4 outperform the RSM3 scheme having dH,min = 2 by about 5 dB, which scheme having an identical d in turn outperforms the RSM5 H,min and overall system code-rate by about 2 dB at the P SN R degradation point of 2 dB. Additionally, an Eb /N0 gain of 20 dB is attained using iterative soft-bit source and channel decoding with the aid of RSM3 relative to the identical-rate benchmarker

    Structural and immunochemical homogeneity of Aeromonas salmonicida lipopolysaccharide

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    RE: 29 ref.; SC: ZA; CA; VE; 0ISource type: Electronic(1) http://upei-resolver.asin-risa.ca?sid=SP:CABI&id=pmid:&id=&issn=0021-9193&isbn=&volume=158&issue=1&spage=16&pages=16-22&date=1984&title=Journal%20of%20Bacteriology&atitle=Structural%20and%20immunochemical%20homogeneity%20of%20Aeromonas%20salmonicida%20lipopolysaccharide.&aulast=Chart&pid=%3Cauthor%3EChart%2c%20H%3bShaw%2c%20D%20H%3bIshiguro%2c%20E%20E%3bTrust%2c%20T%20J%3C%2Fauthor%3E%3CAN%3E19842242718%3C%2FAN%3E%3CDT%3EJournal%20article%3C%2FDT%3

    On multi-user EXIT chart analysis aided turbo-detected MBER beamformer designs

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    This paper studies the mutual information transfer characteristics of a novel iterative soft interference cancellation (SIC) aided beamforming receiver communicating over both additive white Gaussian noise (AWGN) and multipath slow fading channels. Based on the extrinsic information transfer (EXIT) chart technique, we investigate the convergence behavior of an iterative minimum bit error rate (MBER) multiuser detection (MUD) scheme as a function of both the system parameters and channel conditions in comparison to the SIC aided minimum mean square error (SIC-MMSE) MUD. Our simulation results show that the EXIT chart analysis is sufficiently accurate for the MBER MUD. Quantitatively, a two-antenna system was capable of supporting up to K=6 users at Eb/N0 = 3dB, even when their angular separation was relatively low, potentially below 20º. <br/
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