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EN
We analyze quadratic performance for switched systems which are composed of a finite set of affine time-varying subsystems, where both subsystem matrices and affine vectors are switched, and no single subsystem has desired quadratic performance. The quadratic performance indexes we deal with include stability, tracking and L2 gain. We show that if a linear convex combination of subsystem matrices is uniformly Hurwitz and another convex combination of affine vectors is zero, then we can design a state-dependent switching law (state feedback) and an output-dependent switching law (output feedback) such that the entire switched affine system is quadratically stable at the origin. In the case where the convex combination of affine vectors is nonzero, we show that the tracking control problem can be posed and solved using a similar switching strategy. Finally, we consider the L2 gain analysis problem for the switched affine time-varying systems under state feedback.
EN
Biomimetic mineralized composite scaffolds are widely used as natural bone substitute materials in tissue engineering by inducing and assembling bonelike apatite. In this study, the single lamellar structure of graphene oxide (GO) powder was prepared via an improved Hummers’ method. Methods: To better mimic natural bone, the collagen (COL)/Nano-hydroxyapatite (nHA)/graphene oxide (GO) composite material was prepared by simulated body fluid (SBF) method using COL/GO as a matrix template. Hydroxyapatite (HA) with calcium ion deficiency was achieved via biomimetic mineralization, and it had properties closer to those of natural bone than pure HA has. Results: The mineralized COL/nHA/GO composites exhibited loose porous structures, and the connectivity of the holes was good and thus beneficial to the exchange of nutrients and excreted metabolites. Conculsions: Antibacterial and MTT experiment confirmed that the COL/nHA/GO composite material had excellent antibacterial property and biocompatibility. Hence, these results strongly suggested the mineralized COL/nHA/GO composite is a good candidate biomaterial to be applied in bone tissue engineering.
EN
The weighting factors method and the response surface methodology are used to achieve multi-objective optimization of a dielectric layer photonic crystal filter. The size of period and the transmission quantity are considered simultaneously and a multi-objective optimization model of filter is established, which takes the size of period and transmission quantity to be minimized in stop-band as objectives. Global approximate expressions of the objective and the constraint functions are found by response surface methodology. Then the weighting factors method is employed to convert the model into a quadratic programming model and the optimal parameters can be obtained using sequence quadratic programming. Examples provide the optimized results in three different weight coefficients. The effect of the weighting factors on the value of the objective function is also discussed. Results show that the present method is precise and efficient for multi-objective optimization of a dielectric layer photonic crystal filter.
EN
Polytetrafluoroethylene/aluminum (PTFE/Al) composites are reactive materials which can release energy due to exothermic chemical reactions initiated under shock loading conditions. In order to accurately measure the potential maximum heat of reaction of PTFE/Al composites in an inert atmosphere, we propose in this paper a heat of reaction measurement system based on laser initiation. Our results show that the measurement system successfully initiates the chemical reaction between PTFE and Al in an argon atmosphere. The comparison between theoretical calculations and experimental data demonstrates that our measurement method is highly accurate and exhibits excellent consistency. Thus, the heat of reaction measurement system based on laser initiation is applicable for measuring the heat of reaction of PTFE/Al composites and also other complicated reactive materials.
5
Content available remote Detection of Antarctic oscillation signals in Earth’s oblateness variations
EN
Variations of Earth’s oblateness (J2) reflect a large scale mass redistribution within the Earth system. The climate effect causing J2 interannual variations is still not clear, though previous studies indicated it may be related to El Niño–Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). However, we have a new discovery of the significant Antarctic Oscillation (AAO) signals in J2 interannual variations, especially on 4–6 year scales based on cross wavelet and wavelet coherence analysis with 95% confidence test during 1979–2012. The results additionally indicate that the close phase relationship between J2 and AAO (AAO leading J2 variations by 3 ± 2 months in phase) is far superior to that between J2 and ENSO/PDO on 4–6 year scales. In this work, we discuss, for the first time, a possible geophysical mechanism of AAO effecting J2 variations. The investigations are based on the definition of AAO and its spatial-temporal behavior influencing the large-scale mass movement. Finally, an approximate quantitative estimate of the AAO imprint on J2 with an emphasis on the atmospheric contribution is made.
EN
Dielectric layer photonic crystal filter structures in waveguide are optimized by the quadratic response surface methodology. The optimization model of the filter is established on the basis of the analysis which is conducted with the aid of the response surface methodology. The model is solved using sequential quadratic programming and the optimal parameters are obtained. Examples demonstrate it is effective.
EN
A SO(3) transformer of a three-plate polarizer is adopted to rapidly achieve the transformation of the polarized state. The polarization coding based on Stokes components S2 and S3 is analyzed and demonstrated. Tabu search algorithm is used to accelerate the transformation of the polarized state by utilizing Mueller matrix roots decomposition to decompose the SO(3) matrix, and substituting first order Taylor series approximations for the trigonometric functions in the SO(3) matrix. The results show that bias voltage is less than 120 V in the coding zone. The search speed of our algorithm is faster than the one without first order Taylor series approximations by 4 times.
EN
V2O3 and amorphous carbon composites (V2O3/C composites) with different morphologies (e.g. nanospheres, nanorods and nanosheets) were, for the first time, successfully synthesized by a facile hydrothermal route and subsequent calcination. The as-obtained samples were characterized by X-ray powder diffraction (XRD), energy dispersive spectrometery (EDS), elemental analysis (EA), Fourier transform infrared spectroscopy (FT-IR), Raman spectroscopy, scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The morphology of V2O3/C composites could be easily controlled by varying the reaction time, and, as a result, V2O3/C composites with nanospheres, nanorods and nanosheets were selectively synthesized. Furthermore, the phase transition property of V2O3/C composites was measured by differential scanning calorimetry (DSC), suggesting that V2O3/C composites exhibit the phase transition similar to V2O3, which could expand the potential applications of materials related to V2O3 in the future.
9
Content available remote Trust Region Method for Equilibrium Network Design Problem
EN
This paper addresses a mathematical program with equilibrium constraints (MPEC) for network design problem with respect to link capacity expansions and signal settings, where stochastic user equilibrium constraints are expressed as variational inequality problem. The gradient of object function is received by sensitivity analysis of parametric variational inequality and a trust region method is presented for MPEC. Finally, numerical calculations are conducted and promising results have shown potential of the proposed method in solving network design problem.
PL
W artykule opisano algorytm optymalizacji MPEC do tworzenia sieci, biorący pod uwagę możliwą ilość linków i ustawienia sygnału. W celu uwzględnienia równoważności użytkowników stochastycznych, wykorzystano zagadnienie nierówności wariacyjnej. Poprzez analizy nierówności otrzymano gradient funkcji obiektu oraz obszar ufności dla metody MPEC. Przedstawione wyniki obliczeń wykazują obiecujące efekty działania proponowanej optymalizacji.
10
Content available remote The error analysis of the three-pass differential interferometery
EN
The three pass differential interferometry technology is an important means of ground deformation monitoring, which has been successfully used in the large ground deformation monitoring and research such as the earthquake, volcano activity, glacial drift, landslides, and city settlement etc. However the technology is affected by multiple errors in practical application, which have serious influence on the deformation monitoring precision. For spaceborne radar, this paper derives the error propagation coefficients of the baseline error, the phase error, the atmospheric delay error and the earth curvature error and other types of errors on the three pass differential interferometry base on the [three pass differential interferometry] principle, and analyses the characteristics of these errors, finally discusses the influence rules of the errors on three pass differential interferometry.
PL
Artykuł dotyczy zagadnienia trójpasmowej interferometrii różnicowej, jako narzędzia do monitorowania deformacji gruntu w przypadku trzęsień ziemi, aktywności wulkanicznej itp. Na potrzeby radarów znajdujących się na orbicie kosmicznej, wyznaczono współczynnik propagacji błędów, typowych w tego rodzaju pomiarach (błąd fazowy, opóźnienie w atmosferze, zakrzywienie powierzchni Ziemi). Opisano mechanizm wpływu obecności tych błędów i uchybów na wynik działania metody.
EN
In the paper, a new partial discharge pattern recognition approach based on association rules mining is developed. Some statistical parameters are extracted from the sampled transient earth voltage data and classic Apriori algorithm is employed to mine the association rules between those parameters and the corresponding fault types. Moreover, using other experimental data obtained in the laboratory, the method is validated and made comparison with two conventional methods.
PL
W artykule opisano metodę wykrywania wyładowań niezupełnych, poprzez wyznaczenie reguł powiązanych z wystąpieniem tych wyładowań i ich wyszukiwanie. Dzięki analizie statystycznej danych dotyczących stanów nieustalonych napięcia oraz zastosowaniu algorytmu apriori, określono zasady powiązane z wystąpieniem zjawisk. Skuteczność działania rozwiązania została potwierdzona wynikami badań eksperymentalnych, które następnie porównano z dwoma konwencjonalnymi metodami.
EN
We present a noninterior-point predictor-corrector algorithm for variational inequality Problem with equality linear constraints based on Chen-Kanzow-Smale smoothing techniques. This method is based upon a modified predictor-corrector interior-point algorithm. It is established the global linear convergence.
PL
W artykule przedstawiono metodę punktów nie-wewnętrznych predykator-korektor, uwzględniający nierówności wariancyjne z liniowym ograniczeniem liniowości. Jego działanie oparto na technice Chen-Kanzow-Smale oraz zmodyfikowanej metodzie punktów wewnętrznych predykator-korektor. Analizie poddano liniową zbieżność algorytmu.
EN
The evolution of the microstructure of hexanitrohexaazaisowurtzitane (CL-20) after a thermal stimulus plays a key role in the performance of CL-20. In the current work, microstructural variations of CL-20 caused by thermal treatment were investigated by X-ray diffraction, in situ variable-temperature optical microscopy, atom force microscopy, and small-angle X-ray scattering. A wave-like process, an abrupt volume expansion, movement, and fragmentation of CL-20 particles during phase transition were observed. After the phase transition (160 °C) the CL-20 sample acquired a very rough surface with numerous dimple depressions, and during the thermal decomposition stage (200 °C) a large number of voids were produced in both the bulk and the surface of the CL-20.
14
Content available Speech emotion recognition under white noise
EN
Speaker‘s emotional states are recognized from speech signal with Additive white Gaussian noise (AWGN). The influence of white noise on a typical emotion recogniztion system is studied. The emotion classifier is implemented with Gaussian mixture model (GMM). A Chinese speech emotion database is used for training and testing, which includes nine emotion classes (e.g. happiness, sadness, anger, surprise, fear, anxiety, hesitation, confidence and neutral state). Two speech enhancement algorithms are introduced for improved emotion classification. In the experiments, the Gaussian mixture model is trained on the clean speech data, while tested under AWGN with various signal to noise ratios (SNRs). The emotion class model and the dimension space model are both adopted for the evaluation of the emotion recognition system. Regarding the emotion class model, the nine emotion classes are classified. Considering the dimension space model, the arousal dimension and the valence dimension are classified into positive regions or negative regions. The experimental results show that the speech enhancement algorithms constantly improve the performance of our emotion recognition system under various SNRs, and the positive emotions are more likely to be miss-classified as negative emotions under white noise environment.
EN
In this paper, a small-signal equivalent circuit model of a semiconductor optical amplifier (SOA) monolithically integrated with a sampled grating distributed Bragg reflector (SGDBR) laser is presented. To take into account the wavelength dependence of the circuit parameters of our model, the extraction of parameters has been performed by fitting the circuit model including parasitic effect with measured S-parameters of the integrated device for different operating wavelengths of the SGDBR laser. The optical frequency chirp caused by the current modulation of the SOA section has been simulated by the obtained small-signal circuit model.
EN
In the contribution, some preliminary work on insulation subway cable was reported. Accordingly, the paper mainly deals with two problems, focusing on denoising algorithms, associated with various outside interferences existing in the field, and feature extraction method, regarding the evaluation and diagnosis results. Three distinctive categories of interferences were classified, 4 time interval based discharge diagrams were formed, 22 statistical operators were calculated out and further fingerprint of DC discharge was constructed.
PL
W pracy analizowano izolację podziemnych kabli DC. Opracowano algorytm odszumiania wpływów interferencji zewnętrznych pól elektromagnetycznych. Przedstawiono główne kategorie interferencji, zaproponowano statystyczne operatory do ekstrakcji danych.
EN
This paper simulates four typical defects in GIS for PD detection, and uses the pulse, amplitude, phase and number of PD to form the three-dimensional PQN matrix. Based on the PQN, three two-dimensional distributions of Hqmax~Phi, Hqmean~Phi and Hn~Phi can be achieved. Then the new G-K clustering method is introduced to separate the four different defects according to the parameters of Sk, Ku, Pe, Q and CC. At last the comparison with different clustering methods is achieved based on the evaluation criterions which are PC, CE, PI and SI.
PL
W artykule zasymulowano cztery typowe defekty w łącznikach gazowych wynikające z wyładowań niezupełnych oraz wykorzystano amplitudę, fazę i liczbę impulsów do sformowania trzywymiarowej macierzy PQN. Następnie wykorzystano nową metodę klastrową do rozdzielenia różnych defektów na podstawie parametrów Sk, Ku, Pe,Q i CC. Następnie przeprowadzono porównanie różnych metod.
EN
Partial discharge is induced by the defect or failure inside high voltage power cables. The non-stable property of pulse signals requires both time and frequency domain information to indicate the characteristics. This paper introduces the application of the newly developed timefrequency representation, i.e. S-transform, to the analysis of partial discharge signals. Through simulation and on-site experiment, S-transform presents its effectivity of extracting partial discharge signal information.
PL
Wyładowanie niezupełne może być powodowane przez defekty lub uszkodzenia wewnątrz kabli wysokiego napięcia. Analiza sygnałów impulsowych wymaga zastosowania analizy zarówno czasowej jak i częstotliwościowej aby można było uzyskać pełną informację o zjawisku. W artykule przedstawiono nowe metody takiej analizy, jak na przykład transformatę S. Na podstawie symulacji i eksperymentów można stwierdzić że transformata S jest efektywnym narzędziem do wydobycia informacji o wyładowaniach.
EN
To analyze the partial discharge signals in power cables, statistics method is investigated according to the experiment data of defect models. Phase resolved partial discharge graphics and associated pulse distributions are acquired to show the characteristics of defect PD events. 28 statistical parameters are extracted and employed to find the different representation of the defect models in power cables. The results show that statistics method and are useful and effective in the partial discharge signals analysis.
PL
Do analzy sygnału częściowego wyładowania w kablach użyto metod statystycznych. Rozkład statystyczny impulsu wyładowania pozwala na określenie defektu. 28 parametrów statystycznych zostało wydobytych i wykorzystanych do określania rodzaju defektu w kablu. Wyniki wskazują że metody statystyczne są dobrym narzędziem analizy sygnału częściowego wyładowania.
20
Content available remote Soft-fault diagnosis of analog circuit with tolerance using FNLP
EN
A new soft-fault diagnosis approach for analog circuits with parameter tolerance is proposed in this paper. The approach uses the fuzzy nonlinear programming (FNLP) concept to diagnose an analog circuit under test quantitatively. Node-voltage incremental equations, as constraints of FNLP equation, are built based on the sensitivity analysis. Through evaluating the parameters deviations from the solution of the FNLP equation, it enables us to state whether the actual parameters are within tolerance ranges or some components are faulty. Examples illustrate the proposed approach and show its effectiveness.
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