Method Of Linear Transformation Research Articles

Методы машинного обучения применительно к задаче выделения глагольных и атрибутивных коллокаций

В статье представлены результаты применения алгоритмов машинного обучения к задаче автоматического выявления глагольных и атрибутивных коллокаций . Изучение сочетаемости показало, что дистрибуционные модели могут быть успешно использованы для моделирования отношений внутри словосочетаний. Словосочетание признается значимым, если его векторное представление близко к векторному представлению заглавного слова. Нами были использованы следующие методы оценки коллокаций на основе машинного обучения и векторных представлений текстов: базовый метод, метод аналогии и линейного преобразования. Автоматически выделенные словосочетания сравнивались с данными, приведенными в лексикографических источниках (в толковых словарях и словарях сочетаемости, всего было рассмотрено пять источников), которые образовали так называемый золотой стандарт. Результаты показали, что рассматриваемые методы успешно используются для извлечения словосочетаний, в том числе находят те, которые не отражены в словарях. Данные примеры могут претендовать на лексикографическоое описание, хотя и не приведены в источниках и нуждаются в дополнительной экспертной проверке. Поэтому необходимо дополнительно провести сравнение использованных алгоритмов с другими статистическими метриками и увеличить количество словосочетаний, которые привлечены в качестве золотого стандарта.

Research on Intelligent Matching Technology of Marine Electric Propulsion System Based on Fuzzy Multiple Decision Making

Based on matching process of ship electric propulsion system and the fuzzy multiple decision technology, an intelligent matching method of ship electric propulsion system is proposed with the establishment method of factor set, decision set and fuzzy linear transformation in line with the ship electric propulsion system. The decision result from this method is found to be dependent on the maximum membership principle or the score system. By an example, the fuzzy multiple decision-making method is simple in calculation, in line with actual situation and also provides a guidance in the design of ship electric propulsion system. Further related methods and directions are discussed in the end.

INFORMATIVE PARAMETERS OF DYNAMIC NONSTATIONARY OF CARDIOSIGNALS

Contex. Modern electrocardiography, in spite of qualitative improvement in hardware and data processing capabilities, for today haspractically exhausted a resource of reception of the additional diagnostic information. In the article an attempt is made to create a new methodfor processing electrocardiograms based on the use of the ECG signal model, which takes into account the piezoelectric effect in somebiological tissues and cell connections (blood, vessel walls).Objective. Probabilistic justification of the possibility of forming fundamentally new informative diagnostic features, which uses thetime-frequency correlation between two wavelet spectra of the ECG signal and its linear transformation. Method. As such a model is used the additive model of the potential of the cardiac muscle (induced electric field) and the piezoelectricpotential of the blood-vessel system caused by myocardial contraction. To isolate the influence of the induced potential is proposed a methodof linear transformation ECG signal. This method has a high sensitivity to local spectral nonstationarity. Wavelet transform is used toimplement this method. The coefficient of normalized inter-spectral correlation (CNIC) is proposed as a quantitative indicator of the spectralnonstationarity of the ECG signal. The developed mathematical apparatus in the work is used for the analysis of two electrocardiographicsignals: conditional norm and with the consequence of myocardial infarction.Results. As a result of the calculated CNIC, the possibility of a quantitative difference of these states with a sufficiently high statisticalreliability is shown. The basic result of the work is a probabilistic justification for the possibility of forming fundamentally new informativediagnostic features using the time-frequency correlation between two wavelet spectra of an ECG signal and its linear transformation. Highsensitivity and information significance of correlation diagnostic features are confirmed by examples of discrimination of parametricallyinhomogeneous ECG signals.Conclusions. Main results of the study: the spectral non-stationarity of the cardiac signal has been confirmed theoretically andexperimentally; The functional interrelation of the spectral nonstationarity of the ECG signal with the effects of quantization of the rate of its change is obtained; A method for the parametric determination of the coefficient of inter-spectral correlation was developed, which makes it possible to quantitatively describe the dynamics of the local spectral changes in the cardiac signal for the tasks of automatic express control and diagnostics of cardiac states and carried out its approbation.

Some novel solutions for the two-coupled nonlinear Schrödinger equations

We study an integrable two-coupled nonlinear Schrödinger (NLS) system by using the method of linear transformation. With the aid of the traveling wave solutions of the classical NLS equation, we can construct forty-eight different types of solutions for the two-coupled NLS system. Finally, we use numerical methods to compute the stability eigenvalue of the steady-state solution.

Research on Method to Analyze Reliability of Equipment Based on Fault Information

Based on reliability theory, fault information is used to research the rule of fault and analyze reliability. To disadvantage of normal methods, the method of linear transformation of non-linear regression model to fit distribution to determine the best distribution is proposed. It can solve the problem with normal method is affected by experience and without compare. The result shows the model works effectively.

The Improvement of Monocular Distance Measurement in Security Warning System

The security warning system need to be real-time and far detection distance. In this article, we use the method of the camera calibration in surface which is based on the method of direct Linear Transformation, and which is simple calculation and can meet the needs of the long distance detection. And on the basis of the existing methord of monocular distance measure, we improved the method which can range in safety warning only using the monocular vision to calculate the distance between the vehicle and the pedestrian who is in front of the car.

Quantum Fluctuations of Mesoscopic Damped Circuit Involving Capacitance-Inductance Coupling at a Finite Temperature

The quantization of mesoscopic damped circuit involving capacitance-inductance coupling is proposed by the method of thrice linear transformation and damped harmonic oscillator quantization. The quantum fluctuations of the charges and current of each loop are calculated by thermo-field dynamics (TFD) in thermal vacuum state, thermal coherent state and thermal squeezed state, respectively. It is shown that the quantum fluctuations of the charges and current not only depend on circuit inherent parameter and coupled magnitude, but also rely on squeezed coefficients, squeezed angle, environmental temperature and damped resistance. And, because of influence of environmental temperature and damped resistance, the quantum fluctuations increase with increasing temperature and decrease with prolonging time.

A Single Mammalian Mitochondrial Translation Initiation Factor Functionally Replaces Two Bacterial Factors

The mechanism of translation in eubacteria and organelles is thought to be similar. In eubacteria, the three initiation factors IF1, IF2, and IF3 are vital. Although the homologs of IF2 and IF3 are found in mammalian mitochondria, an IF1 homolog has never been detected. Here, we show that bovine mitochondrial IF2 (IF2(mt)) complements E. coli containing a deletion of the IF2 gene (E. coli DeltainfB). We find that IF1 is no longer essential in an IF2(mt)-supported E. coli DeltainfB strain. Furthermore, biochemical and molecular modeling data show that a conserved insertion of 37 amino acids in the IF2(mt) substitutes for the function of IF1. Deletion of this insertion from IF2(mt) supports E. coli for the essential function of IF2. However, in this background, IF1 remains essential. These observations provide strong evidence that a single factor (IF2(mt)) in mammalian mitochondria performs the functions of two eubacterial factors, IF1 and IF2.

Adaptation of dementia screening for vision-impaired older persons: Administration of the Mini-Mental State Examination (MMSE)

In epidemiologic field studies on the prevalence and incidence of dementia the problems associated with the cognitive testing of visually impaired individuals are rarely discussed. In the Leipzig Longitudinal Study of the Aged (LEILA 75+) a version of the Mini-Mental State Examination for the visually impaired (MMSE-blind) was employed from which all items requiring image processing had been omitted. To be able to interpret the test results and include vision-impaired individuals in the field study, the scores for the full MMSE were estimated by conducting linear transformation of the scores obtained on the MMSE-blind. The method of linear transformation is based on certain theoretical assumptions that are examined in this article. Linear transformation of scores has proved to be a valid procedure only for individuals with very high or very low cognitive performance. Thus, evaluation of the estimated full MMSE scores based on the norms for the original MMSE is not recommended. A blind version of the MMSE with age- and education-specific norms that has been validated as a screening tool for dementia is therefore presented.

Adaptation of a dementia test for use in visually handicapped persons exemplified by SIDAM (Structured Interview for the Diagnosis of Alzheimer disease, Multi-Infarct Dementia and Dementias of other Etiology)

In epidemiological field studies on the prevalence and incidence of dementia, the problem of cognitive testing of visually impaired individuals is rarely discussed. In the Leipzig Longitudinal Study of the Aged (LEILA 75+) a version of the SIDAM (SIDAM-Structured Interview for the Diagnosis of dementia of the Alzheimer type, Multi-infarct dementia and dementias of other etiology) for the visually impaired was employed from which all items requiring image processing had been omitted (SIDAM-blind). In order to be able to interpret the test results, the final scores for the full SIDAM were estimated by linear transformation of the scores in the blind-version. The method of linear transformation is based on certain theoretical assumptions which are examined in this paper. Linear transformation of scores has proved to be a valid procedure only for individuals with high cognitive performances. Thus, an evaluation of estimated scores based on the norms for the original SIDAM has limitations. Consequently, age-specific norms for the SIDAM-blind are presented. Sensitivities and specificities for different cut-off points used to discriminate between demented and non-demented vision-impaired individuals are given.

The method of linear transformation in revealing EEG polyharmonic components in comparison to the Fourier analysis

The method of linear transformation (LT) in the modification known as method of Buys Ballot was examined in its ability to reveal polyharmonic periodicities in EEG signals. Applying this method to simulated signals—additive mixtures of sinusoids, periodic squared waves and Gaussian noise some rules were found, which can be used in analyzing of EEG signals. The results were compared to that of Discrete Fourier analysis. The conclusion was made that in contrast to the method of Fourier giving the frequency contents, LT method is able to reveal not only the mono- but also polyharmonic components with their waveshape (the reconstruction) even if their frequency bands are overlapping.

Lyapunov Exponents and Stochastic Stability of Two-Dimensional Parametrically Excited Random Systems

The variation of the largest Lyapunov exponent for two-dimensional parametrically excited stochastic systems is studied by a method of linear transformation. The sensitivity to random disturbance of systems undergoing bifurcation is investigated. Two commonly occurring examples in structural dynamics are considered, where the random fluctuation appears in the stiffness term or the damping term. The boundaries of almost-sure stochastic stability are determined by the vanishing of the largest Lyapunov exponent of the linearized system. The validity of the approximate results is checked by numerical simulation.

Dual camera calibration for 3-D machine vision metrology

A dual-camera calibration algorithm and procedure are presented. The algorithm is based on the method of direct linear transformation and results in an overdetermined set of linear algebraic equations that can be utilized in determining the coordinate position of some identifiable feature in a scene relative to any set of orthogonal axes. Both radial and tangential lens distortions are considered in a second step of the calibration algorithm to improve the accuracy of the position sensor. Since the algorithm incorporates both types of lens distortions, it can be applied to a camera with any combinations of lenses, e.g. a lens system with a supplementary lens for close-up observations. >

Supplemented Partitioning Approach to Linear Filtering Theory

The implementation of Kalman-Bucy linear filtering theory incurs computational difficulties especially in application to large systems. These difficulties can be overcome by using the partitioning philosophy and here a new method called the Supplemented Partitioning Approach to filtering is developed. The special feature of this method is that all the subsystem filter computations are performed in parallel and the interactions between the partitioned subsystems are accounted for by supplementing the subsystem noise processes (system and measurement noise terms) by approximate terms derived using the concept of innovations processes.Various methods of partitioning are discussed and the S.P.A. filtering equations for the method of heuristic partitioning and the method of general linear transformation are derived. The former method is attractive from computational and practical aspects.The S.P.A. method is applied to a model of a chemical absorption tower and the results are compared to the optimal Kalman-Bucy filter and a suboptimal Kalman-Bucy filter in which all interactions between the subsystems are completely ignored. Finally the S.P.A. method is applied to a model of a complete nuclear power plant prototype.The application potential of the S.P.A. method is extensive and areas for future application and investigation are suggested.