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Recently, Two-Stream Convolutional Network has achieved remarkable performance. Especially, by capturing appearance and motion information, spatial-temporal two- stream networks bring noticeable improvement. On the other hand, dynamic image, which is a powerful representation for videos, has also been confirmed to provide complimentary information to spatial appearance. Inspired by these works, we...
We propose a novel middle level estimation of traffic scenes: Collision Risk Rating (CRR). Given a video sequence from a dashboard camera as input, the objective is to estimate a rate that describes "how likely a collision could happen". CRR's problem setting is similar to that of video classification, but it is more complicated and requires rich feature representations to capture the different...
Recently, a lot of works have shown the advantages of utilizing the deep descriptors, obtained from the features of the last convolution layer in CNNs, on image retrieval. In this paper, we focus on augmenting and fusing CNN features for the image retrieval task. We first investigate the effects of network rotation, and then propose two models for deep feature augmenting: single model augmenting and...
In large-scale data classification tasks, it is becoming more and more challenging in finding a true class from a huge amount of candidate categories. Fortunately, a hierarchical structure usually exists in these massive categories. The task of utilizing this structure for effective classification is called hierarchical classification. It usually follows a top-down fashion which predicts a sample...
In this paper, an implicit iterative algorithm is developed to obtain the unique positive definite solution of the generalized algebraic Riccati matrix equation. For this proposed algorithm, there exisits a tuning parameter which can be chosen such that this algorithm achieves better convergence performance. Some convergence results are given for the proposed algorithm. Moreover, an approach is also...
Recently, we proposed a new class of actively mode-locking technique using pump modulation and realized a mode-locked Tm-doped fiber laser. Here, we investigate a pump-to-signal modulation transfer function in a Tm-doped fiber numerically and experimentally.
Mode-locked EDF laser using active mode-locking via pump modulation (AMPM) is demonstrated. The repetition rate is 99.250 kHz, which is beyond the emission lifetime limit of Er ion.
Body surface potential mapping (BSPM) can give an insight of heart status in cardiovascular disease diagnosis. However, most special BSPM recording devices are cost and relatively rare. An alternative method is proposed for BSPM recording using two common 64 leads electroencephalogram (EEG) amplifiers. The recording technics includes 117 torso and three limb electrodes of silver-silver chloride, and...
In this paper, an advanced joint jammer with deceptive jamming and blanket jamming is proposed for countering linear frequency modulated (LFM) radar. Multiple preceded and hysteretic false targets are produced by convolution operation and the blanket jamming is obtained by modulating the intercepted hostile radar signal according to pseudo-random sequences. The jamming algorithm is implemented on...
In this paper, a low-loss and high-selectivity compact CMOS bandpass filter at S band is presented. The filter based on lumped elements achieves low insertion loss and ultrawide bandwidth. Moreover, the resonators of the filter result in two finite transmission zeros. One transmission zero is in the lower stopband, and the other is in the upper stopband, thus improving the selectivity of the filter...
The unmanned multi-ducted-fan flying vehicle is a kind of novel multi-purpose platform for future transportation. In this paper, flight dynamics model is established based on aerodynamics principles and rigid body dynamics theory. To make the controller of the multi-ducted fan flying vehicle more robust, a double closed loop PID controller is put forward with non-smooth parameters optimization method...
The main theme of this paper is to propose a novel switching control method for bridgeless PFC converter to improve the efficiency by reducing both switching and conduction losses. Comparing to the conventional method, the power device is always on (no switching loss) to provide a current path via the turn-on resistor of MOSFET to reduce conduction losses under light load condition. As the load increases,...
In this paper, distributed energy storage systems (DESSs) for power system frequency regulation are investigated. Due to the fact that above 95% of the electricity in Singapore is generated by combined cycle gas turbines (CCGTs), the system frequency model of Singapore based on CCGT is developed. The DESSs are utilized for system frequency regulation hierarchically. At the decentralized control level,...
We present a novel magnetometer consisting of chip-scale whispering gallery mode resonators with high-g factors (>106) realized using MEMs fabrication techniques. A permanent magnet is elastically coupled to a whispering gallery mode borosilicate microbubble. Magnetic forces from applied external magnetic fields induce deformation in the microbubble which can be sensitively monitored through changes...
To predict the vibration displacement distributed on a vibrating surface, an r order Non-equidistant Grey Model (r-NGM) is proposed in this paper. This model is built by accumulating the initial discrete non-equidistant vibration displacement set with the r order Accumulated Generating Operation (r-AGO). The r-NGM is applied to a vibrating surface of a shaker to displacement prediction. The experimental...
Due to its lots of advantages, CT20 type spring operating mechanism is widely used in the 126kV high voltage circuit breaker. This type mechanism should not meet the requirement of higher interrupting capacity circuit breaker while the interrupting capacity is increasing. In this situation, sometimes the vibration of the closing latch during closing may cause the closing process failed if there is...
In this paper, a low-loss and high-selectivity compact CMOS bandpass filter at S band is presented. The filter based on lumped elements achieves low insertion loss and ultra-wide bandwidth. Moreover, the resonators of the filter result in two finite transmission zeros. One transmission zero is in the lower stopband, and the other is in the upper stopband, thus improving the selectivity of the filter...
A deep learning processor with 8 gated recurrent neural network (RNN) accelerators is proposed in this paper. It features on-chip incremental learning by numerical and local gradient computation enhancement. Extra precision of training is obtained without extending the bit-width. Tri-mode weight access (DMA/FIFO/RAM) improves the throughput during incremental learning. The number multipliers and activation...
Soft robots, primarily made out of intrinsically soft materials, have flourished greatly in the past decade due to their advantages such as flexibility and adaptability over rigid-bodied robots. A rich repertoire of soft robots designed from intuitive or biomimetic approaches have been developed to provide new solutions for robots. However, these design approaches are limited by the designers' experience...
In this paper, according to the severity of the fault of the battery system and the impact of different faults on the vehicle and the driver, the generation of battery system fault code based on OBD fault diagnosis protocol is completed, and the transmission of the fault code based on CAN bus and the application of OBD protocol in electric vehicle is realized. Experimental results show that the battery...
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