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In-memory key-value store is a crucial building block of large-scale web architecture. Given the growth of the data volume and the need for low-latency responses, cost-effective storage expansion and fast large-message processing are the major challenges. In this paper, we explore the design of key-value middleware that takes advantage of modern NVMe SSDs and RDMA interconnects to achieve high performance...
We apply the Lamb wave resonators (LWRs) in microfluidic field, and design a novel MEMS device consisting of 4 LWRs, that can efficiently drive multiple cylindrical vortices and locally enrich the bioparticles in liquid. The acoustic streaming effects in the fluid induced by the LWR is deduced. A numerical simulation method to compute the acoustic streaming effect is presented, and based on which,...
Piezoelectric transducers have been employed in trapping particles and molecules in microfluidic platform. Here we studied the acoustic streaming effect of multiple Lamb wave resonators (LWRs) in liquid. A novel device consisting of 4 LWRs was designed and fabricated. The experiment result demonstrated that the LWR array can efficiently drive multiple cylindrical vortices in liquid and trapped the...
The Microwave Imager Combined Active/Passive (MICAP) is a suit of active/passive instrument package, which has been proposed for demonstrating the capability of remote sensing the sea surface salinity (SSS), sea surface temperature (SST) and wind speed (WS). In this paper, a nonlinear optimization algorithm for simultaneous retrieval of the above parameters is described. The sensitivity of active/passive...
This paper presents a rain rate retrieval algorithm for tropical cyclones (TCs) using passive microwave Fengyun-3B (FY-3B) MWRI brightness temperature (TB). Channel 18.7 and 36.5GHz of FY-3B/MWRI are used to implement retrieval algorithm. Two databases are constructed: one is 15,153 matchups of MWRI TB and NSIDC global swath ocean products for rain rate retrieving and another databset of 5,093 matchups...
Frequency-Modulated Continuous-Wave Synthetic Aperture Radar (FMCW SAR) is a compact, cost-effective and high-resolution remote sensing system. The Frequency non-linearities of FMCW SAR seriously deteriorate its range resolution. To overcome this problem and integrate the non-linearity correction method into the imaging algorithm, in this paper, we propose a non-linear range-Doppler algorithm for...
A new configuration is proposed to generate an orbital angular momentum(OAM) beam of an arbitrary mode. The system is constituted of a ring antenna array and a digital DDS (Direct Digital Synthesis) amplitude and phase up-convertor control network. The experiment results show that the system has good performance on generating OAM beams of different modes.
The effect of different positions of the receiving/transmitting antennas on microwave inversion results is discussed. Ten different transmitting/receiving configurations are employed to seek the relation between the antennas positions and the accuracy of inversion results. The synthetic study shows that these ten configurations lead to almost the same result.
Temperature Sensitive Paint (TSP) is a kind of special temperature sensor. TSP test is an essential approach to measure the surface temperature distribution, especially for high temperature, large area aero-engine components. The manual method of TSP test has a weak repeatability because it's heavily rely on the operator's personal experience and proficiency. Based on image processing algorithms,...
Prior to deployment, network designers often use simulators to pre-evaluate the performance of designed network with artificial network traffic. The traditional way of separating network design from real applications will not only result in over-designed network configurations, wasting money and energy, but also miss the real network demands of applications, degrading system performance. In this paper,...
Subspace learning plays a key role in pattern recognition and machine learning. However, its performance would be degraded when data are corrupted by various occlusions. Low-rank representation (LRR) can recover the corrupted data and explore low-dimensional subspace structures embedded in data. Inspired by low-rank representation and subspace learning, in this paper, we propose a regularized low-rank...
The main contribution of this paper is the reformulation of the simultaneous localization and mapping (SLAM) problem for mobile robots such that the mapping and localization can be treated as two concurrent yet separated processes: D-SLAM (decoupled SLAM). It is shown that SLAM can be decoupled into solving a non-linear static estimation problem for mapping and a low-dimensional dynamic estimation...
Summary Designing filters exploiting the sparseness of the information matrix for efficiently solving the simultaneous localization and mapping (SLAM) problem has attracted significant attention during the recent past. The main contribution of this paper is a review of the various sparse information filters proposed in the literature to date, in particular, the compromises used to achieve sparseness...
Manufacturing readiness of the world's first highly reliable 650V GaN HEMT is demonstrated with high process capability (CpK>1.6) for leakage and on resistance. This technology was developed in a Si-CMOS compatible 6-inch foundry and has been demonstrated with over one thousand wafers worth of data spread over two generations of technology nodes covering multiple products and packages collected...
For multi-channel synthetic aperture radar (SAR), Doppler reconstruction method could suppress azimuth ambiguities to overcome the contradiction between wide swath and high resolution imaging. The reconstruction method deals with main-lobe aliasing, while side-lobe spectra still exist and are weighted by filter weightings. When the system matrix is ill-conditioned, the un-recovered ambiguities are...
By far there are more than 1.2 million Dai compatriots using Dai language in Yunnan province, researching Dai speech synthesis has great significance in advancing the informationization of Dai. This paper focuses on the study of the implementation of Dai speech synthesis by taking the HMM speech synthesis framework and STRAIGHT synthesizer into account. The methods of collection and selection of Dai...
This paper presents a novel method for classifying regions from human movements in service robots' working environments. The entire space is segmented subject to the class type according to the functionality or affordance of each place which accommodates a typical human behavior. This is achieved based on a grid map in two steps. First a probabilistic model is developed to capture human movements...
To overcome the contradiction between wide unambiguous swath and high azimuth resolution in synthetic aperture radar (SAR) system, a multi-channel reconstruction method is investigated to unambiguously recover the azimuth signal even for nonuniform spatial samplings. This reconstruction method is derived from matrix inversion method under least square principle. By taking the system additive noise...
This paper presents a fast algorithm for imaging based on Ultra-wideband (UWB) impulse radar. An Impulse Radar system was designed to image the objects which were placed on the motion rail based on the radar sensor. The image could be clear but the speed would be too slow by using time-domain back projection algorithm. This algorithm the paper presents, which can make a quick imaging, also ensures...
Arcing in photovoltaic (PV) power systems is a significant concern due to the potential for property damage from a PV system fire and personal safety from electrical shock hazard or electrocution if an arc is undetected and left unmitigated. Arc fault detectors are now required by the National Electric Code and Underwriters Laboratories (UL) standard 1699B is currently under development to address...
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