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Research shows that speech dereverberation (SD) with Deep Neural Network (DNN) achieves the state-of-the-art results by learning spectral mapping, which, simultaneously, lacks the characterization of the local temporal spectral structures (LTSS) of speech signal and calls for a large storage space that is impractical in real applications. Contrarily, the Convolutional Neural Network (CNN) offers a...
Large progress has been made in the field of silicon photonics since its inception in the late eighties of last century. An intriguing and challenging field of research has evolved with time into a flourishing industry supporting and propelling the growth of data centers and distribute computing known as “the Cloud.”
Nowadays the CNN is widely used in practical applications for image classification task. However the design of the CNN model is very professional work and which is very difficult for ordinary users. Besides, even for experts of CNN, to select an optimal model for specific task may still need a lot of time (to train many different models). In order to solve this problem, we proposed an automated CNN...
In this study, the optoelectronic properties of a monolithically integrated series-connected tandem solar cell are simulated. Following the large success of hybrid organic-inorganic perovskites, which have recently demonstrated large efficiencies with low production costs, we examine the possibility of using the same perovskites as absorbers in a tandem solar cell. The cell consists in a methyl ammonium...
Molecules selectively transform light energy from the sun into other forms of energy like heat, electricity, or chemical energy with high quantum efficiency. The energy conversion process is the result of a correlated motion of electrons and nuclei after photoexcitation, often under breakdown of the Born-Oppenheimer approximation. The element and site selectivity of x-rays allows observing molecular...
We report our advances in development of subwavelength engineered metamaterial structures in silicon waveguides, specifically high-efficiency fiber-chip couplers, ultra-broadband surface grating couplers and nanophotonic beam splitters, evanescent field waveguide sensors and on-chip Fourier-transform spectrometers.
Medium- and high-voltage power converter systems are usually operated at low switching frequencies to minimize the switching losses of the semiconductor switches. However, the majority of control and modulation methods used today have originally been developed for low-voltage power converter with high switching frequencies. This paper presents a novel control method based on Quasi-Newton iterative...
We report our advances in development of subwavelength engineered structures for integrated photonics, specifically high-efficiency fiber-chip couplers, broadband surface grating couplers and ultra-broadband nanophotonic beam splitters.
Organic semiconductors (OSC) such as conjugated polymers/molecules are enabling flexible, large area optoelectronic devices, such as organic light-emitting diodes, transistors, and solar cells.
Owing to employing the magnetic gearing effect, linear magnetic-field modulated (LMFM) motors incorporate the merits of high thrust force and low cost resulting from the simple stator structure [1].
Magnetic levitation refers to the object using electromagnetic force to overcome gravity and achieve a stable suspension or random equilibrium state without mechanical contact.
In this paper, a new control strategy for Thyristor Controlled Series Compensator (TCSC) to mitigate Sub-Synchronous Resonance (SSR) problems is introduced. Different from conventional sub-synchronous damping controller, this scheme involves using only local measurements which can be effectively obtained at the TCSC side. The structure of the control strategy enables selection of multiple torsional...
Decarbonisation of the European electricity system can become dauntingly costly due to transmission and distribution network issues arising from the integration of intermittent renewable generation sources. It is expected that wind energy will be the principal renewable source by 2050 and, as such, a number of initiatives in the academia and in the industry are being carried out to propose solutions...
By representing data through compact binary encodings, hashing techniques have been widely used for data retrieval because of their large data storage and efficient computational time. Most hashing algorithms typically learn a finite number of data projections, but learning optimal projections remains unaddressed. To deal with this limitation, a novel approach, dubbed Adaptive Hashing with Sparse...
Channel variability is one of the largest challenges for speaker verification (SV) techniques. Techniques in the feature, model and score domains have been applied to mitigate the channel impact. In this paper, we strive to study on robust deep feature learning with the deep belief network (DBN) by using traditional spectral features such as MFCC or PLP. In detail, during the training phase, a DBN...
Device-free localization (DFL) aims at locating the positions of targets without carrying any emitting devices by monitoring the received signals of preset wireless devices. Research showed that the localization accuracy of conventional DFL algorithms decreases in presence of noise and outliers. To tackle this problem, this paper firstly proposes to study the DFL via sparse representation and the...
Planetary gearbox is an important rotating machinery, and it always operates under non-stationary working conditions, thus its vibration signal exhibits complex time-varying modulation nature and therefore yields complicated spectral structures. Traditional signal processing methods, such as Fourier analysis, as a result face challenges for a proper fault diagnostic. To achieve a more effective fault...
Triggered vacuum switch (TVS) has tiny turn-on time, huge power capacity and breaking ability in zero-crossing, and can be used to implement controlled reclosing technology. However, TVS has to break circuit reliably in zero-crossing. The reclosing peak current and transient voltage in 10 kV lines was estimated to determine the electrical transient parameters that the TVS worked with, and then an...
An imaging system is built up to capture the image of terahertz (THz) plasmonic wave. Both amplitude and phase information of the THz plasmonic wave can be achieved with this system. Some plasmonic wave devices are characterized and their functions are demonstrated.
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