the Proposed statistical model of the measuring signals in the system temporary reflectometry on the basis of which with the help of complete sufficient statistics the estimates of the parameters of the reflected sign...
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the Proposed statistical model of the measuring signals in the system temporary reflectometry on the basis of which with the help of complete sufficient statistics the estimates of the parameters of the reflected signal. The imitating modeling which has confirmed a solvency and effectiveness ratings. On the basis of the principle of unbiased the synthesis of the unbiased uniformly most powerful detection algorithm parameter change of the slope of the linearly varying signal. Simulation has shown the efficiency of the algorithm and the feasibility of its application for the detection of small changes in the parameters of the measuring signals and systems temporal reflectometry.
Statistical model of measuring signals in systems of time domain reflectometry was proposed. On the basis of this reflectometry the estimates of reflected signal parameters were obtained by means of complete sufficien...
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ISBN:
(纸本)9781509040704
Statistical model of measuring signals in systems of time domain reflectometry was proposed. On the basis of this reflectometry the estimates of reflected signal parameters were obtained by means of complete sufficient statistics. Simulation modeling, which confirmed the consistency and efficiency of the estimates, was conducted. Based on the principle of unbiasedness the synthesis of uniformly most powerful unbiased detection algorithm of change in slope parameter of linearly-varying measuring signal was carried out. Simulation modeling has indicated the efficiency of the algorithm and expediency of its application to detect small changes in the measuring signal parameters of time domain reflectometry systems.
This article presents an algorithm for performing early detection of disease outbreaks by searching a database of emergency department cases for anomalous patterns. Traditional techniques for anomaly detection are uns...
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This article presents an algorithm for performing early detection of disease outbreaks by searching a database of emergency department cases for anomalous patterns. Traditional techniques for anomaly detection are unsatisfactory for this problem because they identify individual data points that are rare due to particular combinations of features. Thus, these traditional algorithms discover isolated outliers of particularly strange events, such as someone accidentally shooting their ear, that are not indicative of a new outbreak. Instead, we would like to detect groups with specific characteristics that have a recent pattern of illness that is anomalous relative to historical patterns. We propose using an anomaly detection algorithm that would characterize each anomalous pattern with a rule. The significance of each rule would be carefully evaluated using the Fisher exact test and a randomization test. In this study, we compared our algorithm with a standard detection algorithm by measuring the number of false positives and the timeliness of detection. Simulated data, produced by a simulator that creates the effects of an epidemic on a city, were used for evaluation. The results indicate that our algorithm has significantly better detection times for common significance thresholds while having a slightly higher false positive rate.
The detection of micro-motion of human body such as respiration is an effective way to detect the life trapped in *** parameters and human states have a significantly influence on ultra-wide band (UWB) radar life *** ...
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ISBN:
(纸本)9781457713675
The detection of micro-motion of human body such as respiration is an effective way to detect the life trapped in *** parameters and human states have a significantly influence on ultra-wide band (UWB) radar life *** this paper,a series of detection scenes are set for life *** received signals are processed to analyze the influence of the external factors on life detection.
Structured analysis of transition systems concerns paths, building blocks, representations, and effective computations of semantics, thus having significant influence on practical applications of graph theory. For ins...
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ISBN:
(纸本)9781509048724
Structured analysis of transition systems concerns paths, building blocks, representations, and effective computations of semantics, thus having significant influence on practical applications of graph theory. For instance, part of these results plays important roles in formal language studies, compiler designs and genetic programming. This paper aims to introduce relations among them, and to present related algorithms for calculating of them.
Statistical algorithms for measurement data processing were developed to perform automation of superconducting quantum bits experimental investigations. The first algorithm is aimed to detect the q-bit quantum state c...
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ISBN:
(纸本)9781509040704
Statistical algorithms for measurement data processing were developed to perform automation of superconducting quantum bits experimental investigations. The first algorithm is aimed to detect the q-bit quantum state changes. The second one is aimed to obtain the efficient resonance frequency estimation for the resonator coupled to a q-bit. All the results were obtained using the statistical approach that employs random nature of measurement data to obtain the optimal estimation rules and statistical hypotheses testing. The numerical modeling was carried out. The results of numerical modeling confirmed the efficiency and expediency of the algorithms obtained.
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