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We experimentally demonstrate 24-Gb/s carrier-suppressed quadrature phase-shift keying modulation based on intensity modulation of microring modulators using a silicon photonic integrated circuit. The penalty of optical signal-to-noise ratio is ∼3 dB at a bit error ratio of 1×10−3.
A real-time 56-GBaud PAM-4 serial optical transmission link over 2km SSMF is presented using in-house developed SiGe PAM-4 driver and clock-and-data recovery integrated circuits demonstrating BER values down to 2e-7.
We demonstrate a germanium photoresistive microring heater that acts as a single device to sense and tune the resonant wavelength of the ring. A control loop to lock the resonance to a laser is shown.
We propose a context-sensitive-chunk based back-propagation through time (BPTT) approach to training deep (bidirectional) long short-term memory ((B)LSTM) recurrent neural networks (RNN) that splits each training sequence into chunks with appended contextual observations for character modeling of offline handwriting recognition. Using short context-sensitive chunks in both training and recognition...
To extract defects from quad flat non-lead (QFN) package surface, a novel method based on mathematical morphology and modified region growing is proposed. Firstly, segment QFN images with 4-thresholds using the multilevel thesholding method. Secondly, according to the image level, obtain the shallow defects images and the deep defect images. Thirdly, eliminate the pixels around edge based on Canny...
In this paper, we present an unsupervised feature learning method for page segmentation of historical handwritten documents available as color images. We consider page segmentation as a pixel labeling problem, i.e., each pixel is classified as either periphery, background, text block, or decoration. Traditional methods in this area rely on carefully hand-crafted features or large amounts of prior...
We present a novel method for adding realistic degradations to historical document images in order to generate more training data. Degradation patches are extracted from other documents and applied to the target document in the gradient domain. Working in the gradient domain has not been done for this purpose in document images analysis so far. It has the advantage to prevent color inconsistencies...
Text localization in born-digital images is usually performed using methods designed for scene text images. Based on the observation that text strokes in born-digital images mostly have complete contours and the pixels on the contours have high contrast compared with the adjacent non-text pixels, we propose a method to extract candidate text components using local contrast. First, the image is segmented...
We show with experiments that localized surface plasmon resonances in conductive nitride nanoparticles result in broadband light absorption covering solar spectrum. The nitride nanoparticle dispersed water was warmed and generated vapor efficiently by sunlight illumination.
We report on the fabrication of large-area aluminum plasmonic perfect absorber (Al-PA) using colloidal lithography combined with reactive ion etching process. Using the Al-PA, we demonstrate selective thermal emitters and tailor-made molecular vibrational sensing.
GMR is the abbreviation of GEO-Mobile Radio interface. It is an extension of GSM from terrene to satellites. The function of GMR's non-access stratum (NAS) is to provide mobile management (MM), call control (CC) and other supplement services (SS), so that it could be independent of the specific access network relatively. In this paper, the function of NAS is described in detail, including the technical...
Division-summation (D-Σ) digital control has been successfully applied to the single-phase bidirectional inverter with an LC filter, which can cover wide inductance variation and achieve precise inverter current tracking. However, high frequency ripple current injection to the grid cannot be avoided, and an LCL filter is therefore required. Since there typically exist grid voltage harmonics, the...
As one of the most popular deep learning models, convolution neural network (CNN) has achieved huge success in image information extraction. Traditionally CNN is trained by supervised learning method with labeled data and used as a classifier by adding a classification layer in the end. Its capability of extracting image features is largely limited due to the difficulty of setting up a large training...
The surface plasmon resonances of titanium nitride nanoparticles are broad and covers majority of the solar spectrum. In terms of integrated absorption efficiency titanium nitride nanoparticles are efficient sunlight absorbers due to these resonances, even better than gold and carbon nanoparticles which have been extensively studied so far. In experiment, titanium nitride nanoparticles were dispersed...
This paper presented a“Z” shape Au/Pt hybrid micro-nanorobot propelled by self electrophoresis driving. The Z shape hybrid micro-nanorobot realized itself rotational movement while having a parallel shift. The Z shape micro-nanorobot was designed for the drug delivery, biomedical engineering and so on. Just as its name implies, the mainly raw materials are platinum and gold. By the focus ion beam...
We report 4-stage dual-illuminated Ge traveling wave photodetectors (TWPDs). Dual-illumination doubles the optical channels and boosts DC and RF power handling, resulting in a record figure-of-merit of an RF power-bandwidth area density of 0.66 mW-GHz/µm2.
We report a silicon photonic 4×25 Gb/s polarization-insensitive wavelength-division multiplexing receiver with a fiber-to-photodiode responsivity >0.26 A/W and crosstalk <−20 dB in 200-GHz channel spacing. Both central wavelengths and channel spacing are tunable.
We report four-channel discrete multi-tone modulation using silicon photonic circuits with net channel rates of 100 Gb/s and 70 Gb/s detected by commercial and germanium receivers, respectively. Transmission up to 4-km fiber is presented.
Cloud gaming is becoming a popular IT business among cloud services. In order to host a variety of network services, modern clouds provide great computing power by equipping with multi-core CPUs and parallel-core GPUs. In our previous work, we propose VGASA [1], a virtualized GPU resource adaptive scheduling policy in cloud gaming, solving the poor default mechanisms of GPU resource sharing. However,...
The good control performance of the permanent magnet linear synchronous motor (LSM) drive system is very difficult achieved by using linear controller due to the uncertainty effects such as ending-frictious force. An adaptive modified recurrent Laguerre orthogonal polynomial neural network (NN) backstepping control system is proposed to increase the robustness of the LSM drive system. Firstly, the...
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