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High-speed coherent anti-Stokes Raman spectroscopy with two linearly chirped frequency combs is demonstrated. Multiplex Raman spectra covering most of the fingerprint region are acquired with high resolution on nanosecond measurement time scale.
Reed-Solomon code or RS code is widely used for error corrections of data in transmission and storages. However, it is thought of as insecure for direct implementation in code-based cryptography due to plaintext-known attacks. In recent years, McEliece cryptosystem with enhanced public key security by generalized RS code and Goppa code are discussed for hardware implementation. In this work, from...
We describe an AlN-based resonant switch (resoswitch) for use in a Near-Zero (NZero) RF Wake-up receiver. A folded beam structure compensates for the curvature caused by the stress gradient in sputtered AlN and ensures that the free end of center actuation beam is level with the side anchor beams. A 80.13 kHz resoswitch with Q over 4000 and an actuation gap of approximately 600 nm turns on when a...
The depth image obtained by Kinect usually exists cavities at the edge of the object and occlusions. For this problem, many scholars have put forward many solutions. The existing cavity filling algorithms can repair the holes effectively, but these algorithms have a long execution time and are difficult to apply in practical applications. In order to solve the problems above, a hole filling algorithm...
Recently a novel electric hammer driven by tubular permanent magnet linear synchronous motor (TPMLSM) has arouse great interest among researchers in the field of deep drilling for its distinctive advantages compared with hydraulic and pneumatic hammers. The working temperature in deep down-hole is relatively high, so the research of the influence of high temperature in deep hole on the electromagnetic...
The light-emitting diode (LED) is the world's most efficient light source being mass produced today. As the LED industry becomes prosperous, short time consumption for single chip measurement is particularly concerned by semiconductor manufacturers. Generally, in each test process, SMD chip is transferred from conveyor line head vibrated with frequency about 5MHZ, and its position is set to center...
High-precision mapping and localization contribute to mobile robot navigation. It also provides convenience, robustness and safety for navigation. But for the single feature and large-scale scene, to build high-precision mapping and localization has great challenges and difficulties. Meanwhile, high precise is unnecessary for simple task. Therefore, this paper proposes a new methods of environment...
Mobile advertisement optimization has been widely studied in recent years. In this work, we focus on the propagation optimization when the content popularity is concerned. Moreover, we further investigate the issue where the number of popular advertisements is limited. These properties make the conventional optimization schemes unapplicable, because the popularity functions need to be re-evaluated...
With the tremendous development of drone systems, several studies have demonstrated the trend and need of leveraging drones to collect data in traditional wireless sensor networks. Unfortunately, it is intrinsically difficult to incorporate drones or drones to wireless sensor network efficiently due to high-density sensor deployment in an extremely large area. Previous solutions mainly focus on scheduling...
Image compression has highly developed in recent decades. The common way is to transform the sensed image into an appropriate basis, then encode the important coefficients to reduce the data size. The Compressive Sensing based imaging (CSI) system can combine sensing and source coding process in one step. It is clear that the CSI system has the compression property, but compression of the CSI does...
This paper tackles the photometric stereo problem in the presence of inaccurate lighting, obtained either by calibration or by an uncalibrated photometric stereo method. Based on a precise modeling of noise and outliers, a robust variational approach is introduced. It explicitly accounts for self-shadows, and enforces robustness to cast-shadows and specularities by resorting to redescending M-estimators...
Compressive Sensing is practical and implemented into many areas. For these applications the conventional sensing noise (e.g. AWGN) with low energy on measurements could be reduced by the robustness of Compressive Sensing. Parallel, there exist some errors, which would strongly noise or remove some parts of measurements. In this case, the recovered information would contain much noise, since the robustness...
The Euclid distance based K-means clustering is among the hard classification algorithms. When dealing with deterministic remote sensing data, it is difficult to gain satisfactory classification results using K-means algorithm. The traditional K-means clustering algorithm is faced with several shortcomings such as locally converged optimization, being sensitive to initial clustering centers, etc....
Semantic Web approaches are often used for Web service description, modeling, semantics discovery, capabilities matching, etc. However, as the primary querying tool for Semantic Web, SPARQL is yet to be deeply explored to support Semantic Web service composition. Therefore the description, modeling and composition of Semantic Web services are usually two-tier. This paper extends SPARQL to support...
We report on novel high electromechanical coupling coefficient (kt2) and large input capacitance (C0) Cross-Sectional Lamé mode resonators (CLMRs). We show that, by coupling multiple 3-fingers CLMRs, it is possible to simultaneously achieve high Figure of Merit (FoM, namely the product between quality factor, Q, and kt2) and large C0-values. The use of this design approach permits to evade the intrinsic...
In this paper, a novel vision-based multi-stage localization framework is proposed. Our framework makes rough classification scenes in a wide range of Campus, using the powerful classification ability of the convolutional neural network for multi class objects. Then, refined classification is implemented based on SIFT and GIST features, which achieves a good scene classification effect and completes...
The policy of massive entrepreneurship and innovation is a recent stimulator of the economy. It advocates the resources and improvements of research, education, technology, etc. to drive the economic growth. The analysis of the ethnic entrepreneurship and innovation achievements is a key factor to evaluate the effect of this policy to the ethnic areas or ethnic undergraduates. This paper proposes...
The agile development and swift iteration play a key role in software arena. Web nowadays becomes not only an information storage and presentation platform where data are presented as pages, but also a service delivery platform where functionalities are offered through Web services or Web APIs. Software development now relies heavily on readily modules especially Web-accessible modules such as Web...
Potential well type selection is critical for the convergence of the QPSO (Quantum-behaved Particle Swarm Optimization) algorithm. This paper analyzed the motion pattern of particles in square potential well, given the position equation of the particles by solving the Schrödinger equation and proposed the Ternary Correlation QPSO Algorithm Based on Square Potential Well (TC-QSPSO). In this...
In this article, two new integral inequalities are provided that are tighter than existing ones. Based on the constructed Lyapunov functional, two new integral inequalities are used to investigate the delay-dependent stability of linear systems with a discrete distributed delay, and a new stability condition is established. Two numerical examples demonstrate the effectiveness and the less conservatism...
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