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We demonstrated a high-energy burst-mode Nd:YVO4/Nd:YAG MOPA laser. A LD pumped Nd:YVO4 acousto-optically Q-switched laser works as oscillator and three side pumped Nd:YAG modules as the amplifiers. During the burst duration of 1ms, maximum pulse burst energy of 730 mJ at 10 kHz is obtained with single pulse energy of 73 mJ and a pulse width of 9.3 ns.
A compact all-fiber QEPAS sensor using quartz tuning fork (QTF) with a resonance frequency of 30.72 kHz was demonstrated. Three QTFs were used for H2O detection simultaneously to demonstrate the potential of spatially resolved measurements.
Convolutional neural networks (CNNs) are rapidly evolving and being applied to a broad range of applications. Given a specific application, an increasing challenge is to search the appropriate CNN algorithm and efficiently map it to the target hardware. The FPGA-based accelerator has the advantage of reconfigurability and flexibility, and has achieved high-performance and low-power. Without a general...
A comparison between composite YAG/Nd:YAG/YAG ceramic and traditional non-composite Nd:YAG ceramic was demonstrated in this paper. It was proved that YAG/Nd:YAG/YAG ceramic had a better thermal diffusion ability when compared to Nd:YAG ceramic. The laser performance of continuous-wave operation between these two ceramics was investigated.
This work presents an efficient hardware accelerator design of deep residual learning algorithms, which have shown superior image recognition accuracy (>90% top-5 accuracy on ImageNet database). Two key objectives of the acceleration strategy are to (1) maximize resource utilization and minimize data movements, and (2) employ scalable and reusable computing primitives to optimize physical design...
The backscatter of $X$ -band marine radar is contaminated by rain, which limits the estimation of wave parameters from radar images. A new method is proposed to correct the influence of rain on the gray level radar image, based on 1-D complex continuous wavelet transform. First, a suitable scale parameter is derived from the modulus of Gaussian wavelet coefficient, and then the wave crests are detected...
A dual quartz tuning fork (QTF) instead of a single QTF as used in QEPAS was adopted in multi-quartz-enhanced photoacoustic spectroscopy (M-QEPAS) to increase signal strength by the addition of the detected QEPAS signals.
As a key physical process of the research about lightning protection of wind turbine blades, the inception mechanism and criterion of the upward leader need further investigation. A model of line charge with point charge at the head is used to simulate charge distribution of lightning downward leader. A curve about density of surface charges on blade is presented after considering the movement, diffusion...
Despite its popularity, deploying Convolutional Neural Networks (CNNs) on a portable system is still challenging due to large data volume, intensive computation and frequent memory access. Although previous FPGA acceleration schemes generated by high-level synthesis tools (i.e., HLS, OpenCL) have allowed for fast design optimization, hardware inefficiency still exists when allocating FPGA resources...
Compressive sensing (CS) allows acquiring sparse signals at sub-Nyquist rate, offering an energy-efficient solution to data acquisition. This is especially important to reduce communication data for mobile medical applications. However, reconstructing the signal from CS is usually left off-line due to the complex computations. In this paper, we integrate two key technologies to enable on-line energy-efficient...
A trace gas sensor platform based on quartz-enhanced photoacoustic spectroscopy using quartz tuning forks (QTFs) with resonant frequency of 38 kHz and 40 kHz were experimentally investigated and theoretically analyzed for the first time.
A high power CW DFB-QCL based CO and N2O QEPAS sensor demonstrating the MDL of 1.5 ppbv and 23 ppbv, respectively was developed. Continuous monitoring of atmospheric CO and N2O concentration levels were performed.
Recent advances in the development of ultra-sensitive sensor technology based on mid - infrared semiconductor lasers for the detection of trace gas species and their application in industrial process control and environmental monitoring will be reported.
Multiple sensor data fusion is a hot topic in the academic research. This paper developed an effective scheme to extract the flight trajectories from different sensors and searched their common characters by matching algorithm, which removed some abnormal points in each extracted trajectories and exploited cubic spline interpolation method to register the intersected parts of two trajectories which...
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