This paper addresses the issue of limited timing accuracy in complex environments for both the BeiDou system (BD) and the long-range navigation system (LORAN). We delve into the correction algorithm for LORAN timing s...
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This paper addresses the issue of limited timing accuracy in complex environments for both the BeiDou system (BD) and the long-range navigation system (LORAN). We delve into the correction algorithm for LORAN timing signals and an adaptive fusion timing algorithm based on the extended Kalman filter (EKF). First, we introduce the advantages and limitations of the BD and LORAN systems in timing applications, as well as the principles of the EKF algorithm and its application in multisource information fusion. Next, we propose a correction algorithm signal to address the significant fluctuations in LORAN timing signals. Building on this, we continue to study an adaptive BD and LORAN fusion timing algorithm based on the EKF. This involves optimising system noise covariance through adaptive adjustments and establishing a fusion timing algorithm model based on the EKF. Finally, we construct a test platform to verify the effectiveness of the proposed algorithms. The experimental results demonstrate that, compared to a single navigation system, the adaptive BD and LORAN fusion timing algorithm based on the EKF significantly improves the accuracy and stability of system timing. Additionally, correcting the LORAN timing results before fusion further enhances system fusion timing performance metrics. The algorithm still maintains high performance in complex environments, showing great application prospects.
In order to overcome the problem of low reliability evaluation accuracy existing in traditional power supply reliability evaluation methods, a new power supply reliability evaluation method based on non-invasive low-v...
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In order to overcome the problem of low reliability evaluation accuracy existing in traditional power supply reliability evaluation methods, a new power supply reliability evaluation method based on non-invasive low-voltage power load identification and time series algorithm is proposed in this paper. Firstly, a non-invasive low-voltage power load acquisition device is designed, and the adaptive Gauss filtering method is used to denoise. Secondly, the characteristics of low-voltage power load are extracted, and the characteristic parameters are input into the limit learning machine model to complete the identification of low-voltage power load. Finally, the time series algorithm is used to calculate the power supply reliability evaluation index of the distribution network, and the power supply reliability evaluation of the distribution network is completed. The experimental results show that the proposed method has high accuracy of low-voltage power load identification and reliability evaluation, and the highest evaluation accuracy is 97%.
A New Synchronous Estimation algorithm for SOQPSK signal without data assistance is put *** algorithm first estimates the frequency of residual carrier after down conversion, and then estimates the carrier phase and s...
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ISBN:
(纸本)9798350353129;9798350353136
A New Synchronous Estimation algorithm for SOQPSK signal without data assistance is put *** algorithm first estimates the frequency of residual carrier after down conversion, and then estimates the carrier phase and symbol synchronization parameters. The algorithm is simulated and compared with MCRB. The results show that the estimation algorithm performance is close to MCRB.
The baPWV measurement is a non-invasive and convenient technique in an assessment of arterial stiffness. Despite its widespread application, the influence of different timing algorithms is still unclear. The present s...
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The baPWV measurement is a non-invasive and convenient technique in an assessment of arterial stiffness. Despite its widespread application, the influence of different timing algorithms is still unclear. The present study was conducted to investigate the influence of six timing algorithms (MIN, MAX, D1, D2, MDP and INS) on the baPWV measurement and to evaluate the performance of them. Forty-five CAD patients and fifty-five healthy subjects were recruited in this study. A PVR acquisition apparatus was built up for baPWV measurement. The baPWV and other related parameters were calculated separately by the six timing algorithms. The influence and performance of the six algorithms was analyzed. The six timing algorithms generate significantly different baPWV values (left: F=29.036, P<0.001;right: F=40.076, P<0.001). In terms of reproducibility, the MAX has significantly higher CV value (>= 18.6%) than the other methods, while the INS has the lowest CV value (<= 2.7%). On the performance of classification, the INS produces the highest AUC values (left: 0.854;right: 0.872). The MIN and D2 also have a passable performance (AUC > 0.8). The choice of timing algorithm affects baPWV values and the quality of measurement. The INS method is recommended for baPWV measurement.
The baPWV measurement is a non-invasive and convenient technique in an assessment of arterial stiffness. Despite its widespread application, the influence of different timing algorithms is still unclear. The present s...
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The baPWV measurement is a non-invasive and convenient technique in an assessment of arterial stiffness. Despite its widespread application, the influence of different timing algorithms is still unclear. The present study was conducted to investigate the influence of six timing algorithms (MIN, MAX, D1, D2, MDP and INS) on the baPWV measurement and to evaluate the performance of them. Forty-five CAD patients and fifty-five healthy subjects were recruited in this study. A PVR acquisition apparatus was built up for baPWV measurement. The baPWV and other related parameters were calculated separately by the six timing algorithms. The influence and performance of the six algorithms was analyzed. The six timing algorithms generate significantly different baPWV values (left: F=29.036, P<0.001;right: F=40.076, P<0.001). In terms of reproducibility, the MAX has significantly higher CV value (>= 18.6%) than the other methods, while the INS has the lowest CV value (<= 2.7%). On the performance of classification, the INS produces the highest AUC values (left: 0.854;right: 0.872). The MIN and D2 also have a passable performance (AUC > 0.8). The choice of timing algorithm affects baPWV values and the quality of measurement. The INS method is recommended for baPWV measurement.
In this research, the no-wait flowshop sequence-dependent setup time scheduling problem with minimization of weighted earliness and tardiness penalties as the criterion, typically classified as F-m vertical bar nwt, S...
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In this research, the no-wait flowshop sequence-dependent setup time scheduling problem with minimization of weighted earliness and tardiness penalties as the criterion, typically classified as F-m vertical bar nwt, S-ijk vertical bar Sigma w(j)'E-j + w(j)'' T-j is investigated. A mixed integer linear programming model for the research problem is proposed. As the problem is shown to be strongly NP-hard, several metaheuristic algorithms based on tabu search (TS) and particle swarm optimization (PSO) algorithms are developed to heuristically solve the problem. A timing algorithm is generated to find the optimal schedule and calculate the objective function value of a given sequence. In order to compare the performance of the proposed algorithms, random test problems are generated and solved by all metaheuristic algorithms. Computational results show that the PSO algorithm has better performance than TS algorithm especially for the large sized problems. (C) 2013 Elsevier Ltd. All rights reserved.
Introduction: The patient population has changed and the cardiothoracic team are now operating on patients with more co-morbidity. One of the significant aspects of this increased co-morbidity, which affects both shor...
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Introduction: The patient population has changed and the cardiothoracic team are now operating on patients with more co-morbidity. One of the significant aspects of this increased co-morbidity, which affects both short-and long-term outcomes, is compromised left ventricular function. Intra-aortic balloon pump (IABP) technology offers these patients and the cardiac team an easily accessible, cost-effective, mechanical assist device. Arterial pressure monitoring for IABP therapy: Fluid-filled transducers used to measure the aortic waveform can be unreliable and inconsistent. Fiber-optic manometers located in the very tip of the IAB catheters provide accurate and fast, high quality measurements. This, in turn, presents the opportunity for the hardware and algorithm to measure key markers on the arterial waveform and optimise left ventricular support. It also provides the potential for automatic in vivo calibration, further increasing the accuracy and quality of the IAB support. The effect of fiber-optic IABP therapy on clinical management A dual centre prospective audit comparing fluid-filled versus fiber-optic arterial pressure monitoring showed a 96% reduction in IAB-related perfusion on-site call-outs (I 7 vs. I, respectively) and a 94% reduction in sub-optimal timing (55/98 vs. 2/94, respectively). Conclusion: The improved timing algorithms utilise the pressure information received 50 msecs faster than with fluid-filled transducers, measuring key markers on the pressure waveform and adjusting inflation and deflation accurately on a beat per beat basis. Fiber-optic IAB technology and, specifically, these improved algorithms provide better beat per beat mechanical support. Given our evolving patient population, this technology will not only play an increased role, but will have a significant impact on cardiac surgery.
Earliness-tardiness criteria with distinct due dates usually induce NP-complete problems. Researchers have focused on particular cases like the timing problem, which is to look for the optimal schedule when the jobs s...
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Earliness-tardiness criteria with distinct due dates usually induce NP-complete problems. Researchers have focused on particular cases like the timing problem, which is to look for the optimal schedule when the jobs sequence is already known. These timing algorithms are very useful since they can be used in more complex procedures. In the first part of this paper we provide the most efficient and fairly general algorithm to solve the one-machine timing problem. It is then adapted to a permutation flow shop problem. (c) 2005 Elsevier Ltd. All rights reserved.
With the development of fast sampling electronics, digital pulse processing techniques for PET signals are raising interest. The optimal filter (OF) algorithm reconstructs pulse amplitude and time by two weighted sums...
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With the development of fast sampling electronics, digital pulse processing techniques for PET signals are raising interest. The optimal filter (OF) algorithm reconstructs pulse amplitude and time by two weighted sums, making it compatible with real-time implementation. The filters are usually optimized for stationary noise. We developed and tested a method to optimize the filters for the nonstationary noise of scintillation pulses. It is based on offline statistical analysis of coincident waveforms that could be applied during the system initialization phase. Experimental tests were done on a coincidence setup with two detection blocks composed of a fast inorganic scintillator (LaBr(3) or LYSO) coupled to a photodetector (APD or PMT), preamplifiers and prefilters. The signals were sampled at high rate (250 MHz for APDs, 5 GHz for PMTs) and treated offline. The optimization of the filter coefficients for nonstationary noise yielded a significant improvement compared to those optimized for stationary noise, resp. 368 ps and 632 ps fwhm in coincidence for the LYSO-PMT setup. However, little improvement was achieved compared to leading-edge (DLED) and constant fraction (DCFD) discriminator algorithms (resp. 419 ps, 435 ps fwhm). Indeed, the adjustment of thresholds can be interpreted as an optimization for nonstationary noise. Yet, OF is more robust to white noise than DLED or DCFD. The applicability to PET is discussed.
This paper addresses a new model for the one-machine earliness-tardiness scheduling problem where jobs can be interrupted. Some dominance rules and a lower bound are derived. A new timing algorithm is also presented a...
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This paper addresses a new model for the one-machine earliness-tardiness scheduling problem where jobs can be interrupted. Some dominance rules and a lower bound are derived. A new timing algorithm is also presented and a local search algorithm based on this timing algorithm permits the computation of good feasible solutions. We experimentally compare our timing algorithm with a previously published timing algorithm. The tests show that the execution time of the new timing algorithm is significantly faster, especially for large instances. The values of the solutions are compared to the lower bound. (C) 2008 Elsevier Ltd. All rights reserved.
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