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We report a non-electric focal plane array with metamaterials integrated into bi-materials cantilever pixels for real-time terahertz imaging. The fabricated device experimentally captured THz images of different objects with fast response and high sensitivity.
The Buck converter exhibits interesting nonlinear phenomena which many studies have addressed, and the resonant parametric perturbation is effective to control these nonlinear phenomena. We investigate the control mechanism by using the monodromy matrix derived from the Filippov's method when the perturbation has an appropriate phase shift and the duty ratio is not changed. We find that only one term...
A new method, based on support vector machines (SVMs) and genetic algorithm (GA), is proposed for automatic Intra-Pulse modulation recognition (AIMR). In particular, the best feature subset from the combined pulse descriptor word (PDW) feature set and time-frequency feature set is optimized using genetic algorithm. Compared to the conventional decision-theoretic method, the method proposed avoids...
How to operate a BFG/coal co-firing boiler in high efficiency is challenging for a gas/solid multi-fuel combustion system. Taking operation data from a real boiler, this study proposes an operation optimization strategy of BFG/coal co-firing boiler based on deep learning. Firstly, the thermal efficiency model is constructed based on deep learning with all the actual sampling data, which outperform...
Fault isolation is an essential step in multivariate statistical process monitoring, which discovers the cause of the detected fault. The common adopted techniques for fault isolation, such as contribution plots, reconstruction analysis, branch and bound, etc., often suffer from the problems of the smearing effect, insufficient historical fault data, and heavy computational burden. In this paper,...
Both the plant parameter4 and delay time of the system may vary in the time-varying system, which makes system identification relatively complex. In this paper, a new system identification algorithm based on subspace method and cross-correlation function is proposed to identify system parameter and time-delay simultaneously. The time delay is identified with the calculation of the cross-correlation...
In industrial process, some important variables such as quality index, efficiency index and concentration of product components are difficult or even impossible to be measured directly due to the limitation of technology. This phenomenon leads to few labeled data and plenty of unlabeled data. Traditional identification method for controlled auto regressive (CAR) model usually cannot deal with unlabeled...
Pulsed thermography (PT) is a widely used non-destructive testing (NDT) technique for defect detection in carbon fiber reinforced polymers (CFRP) structures. Thermographic signal reconstruction (TSR) is often employed to process thermographic data due to its excellent performance in enhancing the contrast between defects and background. However, TSR does not reduce the noise of thermographic data...
Based on the actual data analysis, it is found in this paper that the supplementary air flow rate in the CDQ operation didn't follow the variation of the discharge rate of incandescent coke well, which results in the concentration increase of combustible gas in the exhaust gas and the decrease of economic efficiency. The correlation analysis results show that the introduced derived variables are more...
In this paper, a three-layer cascaded complementary metasurfaces for complete terahertz (THz) phase control was designed at 3.11 THz. On this basis, a transmissive lens was fabricated and experimentally demonstrated with a focal length of 23 mm and a full width at half maximum (FWHM) of 1.1 mm at the focal plane. Simulations and calculations reveal that the lens is insensitive to incident angle and...
This paper presents a robust triangular-electrode based (TEB) capacitive detection method for MEMS gyroscopes. The TEB method utilizes the inherent nonlinearity of TEB variable-area sense capacitor to measure the amplitude and the phase of mechanical motion, and the derived amplitude and phase are independent of such system parameters as the carrier voltage, the nominal sense capacitance, the gain...
This paper reports a comparative study between double side-band (DSB) and single side-band (SSB) demodulation methods when applied to a general control system of MEMS gyroscopes. Theoretical analysis originally reveals the influence of phase delay variations of C/V sensing circuit in the drive loop on gyroscope output. A simulation is set up to evaluate the two demodulation algorithms, demonstrating...
Binary embedding is an effective way for nearest neighbor (NN) search as binary code is storage efficient and fast to compute. It tries to convert real-value signatures into binary codes while preserving similarity of the original data. However, it greatly decreases the discriminability of original signatures due to the huge loss of information. In this paper, we propose a novel method double-bit...
With the rapid development of digital and network technologies, Industry 4.0 is having a huge impact on commerce. In the manufacturing sector, enterprises that produce many customized products, and those that produce a few and different of products, have the opportunity to achieve the same production standards and costs as each other. In an intelligent factory, workers and operators are shifting from...
In this paper, we develop a distributed power allocation algorithm for maximizing the energy efficiency in the downlink of orthogonal frequency division multiple-access (OFDMA) based multi-cell cellular networks. Each small-cell allocates its available transmit power over the set of assigned sub-carriers to maximize its individual utility (defined as the small-cell's throughput per watt of transmit...
The wavelength sharing ability is a key problem of existing hybrid Wavelength/Time Division Multiplexing (WDM/TDM) based Passive Optical Networks (PON). Aimed to enhance the wavelength sharing ability, this article presents a new hybrid WDM/TDM PON enabled by Tunable Wavelength Converter (TWC) based switch. By making full use of newly advantages of tunable wavelength converter technologies, a switch...
Small target detection at sea is an important issue for marine radar. The difficulty derives from the influence of sea clutter and the weak target's echo resulted from its small RCS. In order to solve these two problems, based on solid-state marine radar, the method combining time-frequency decorrelation for clutter and scan-to-scan noncoherent integration for target is proposed. The method firstly...
Electrorheological fluid (ERF) is a smart functional material which can transpose from liquid-like state to solid-like state under the action of an electric field, along with this process, the physical properties of the material will be changed such as apparent viscosity, acoustic attenuation and acoustic impendence. In this paper, three kinds of electrode surface morphology are chosen to vary the...
Due to the diversity of body movements and uncertainty of recording occasion, human action recognition is still a challenging task, especially in real world. This paper provides a new method of representing the video with mid-level vision representation which is extracted from the discriminative supervoxels. In the proposed method, the discriminative supervoxels we extracted through a learning phase...
This study aims at measuring last-night sleep quality from electroencephalography (EEG). We design a sleep experiment to collect waking EEG signals from eight subjects under three different sleep conditions: 8 hours sleep, 6 hours sleep, and 4 hours sleep. We utilize three machine learning approaches, k-Nearest Neighbor (kNN), support vector machine (SVM), and discriminative graph regularized extreme...
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