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A monolayer WS2 enhanced surface plasmon resonance biosensor is proposed. We theoretically and experimentally demonstrate that the sensitivity could reach to 3.5×104 deg/RIU, which was 300% higher than that of the conventional configuration.
In the paper, we propose an effective long-term real-time tracking method to address the problem of robustness and tracking failure in visual tracking with UAVs. Most existing trackers only consider short-term tracking, therefore are unable to cope with partial and complete occlusion, which finally leads to object drifting or loss. Our method still follows the tracking-by-detection framework. However,...
High accuracy and real time phasor measurement technology is used to improve the stability and reliability of distribution network. With the access of distributed energy, the planning and operation of power system, especially the distribution system, is more complex than that of the traditional distribution network. This paper presents a new phasor measurement technique for micro phasor measurement...
This paper presents a highly integrated underactuated anthropomorphic finger with three joints and two DOFs using a novel coupled-adaptive linkage mechanism. The finger has two main motion modes: coupled motion in free space and self-adaptive motion when contacting with the object. Compared with conventional prosthetic finger, the combination of these two motion modes improves the anthropomorphic...
This paper exploited the single trial decoding of cortical-muscular activities (CMAs). The CMAs were measured by acquiring Electromyographic (EMG) signal, and Electroencephalographic (EEG) signal. We focused on CMAs related to sustained muscular contractions (SMC), and investigated on the classification performance of four types of CMAs with different combinations of three types of features. The four...
Linear frequency modulated continuous wave (LFMCW) signal has been widely used in the new system radar as the progress of radar technology. It is difficult to estimate the parameters of the LFMCW signal under noncooperative circumstances. In this paper, we introduce the time frequency analysis methods to signal representation and parameter estimation. The S-Method with adaptive window is proposed...
Restrict Boltzmann Machine, a generative model that consists of one visible layer and one hidden layer, plays an important role in deep learning. It can be used as a feature extractor in an unsupervised way. In process diagnosis area, the Sparse Class Gaussian Restrict Boltzmann Machine is developed as a discriminative nonlinear feature extractor for classification in order to solve the discriminative...
Driver's Fatigue is one important factor leading to traffic accident. So, how to detect driver's fatigue status accurately is critical to avoid traffic injuries and deaths. In the driving environment of vehicles, there are higher requirements for the real-time performance and reliability. The traditional fatigue judging methods are sensitive to the light fluctuation and have lower real-time performance...
How to design a robotic hand for reproducing the move characteristics of human hand joints is a big challenge in robotics. In this paper, we present an approach to determine the actuation configuration based on the statistical results of hand joint angle in different grasps. A relationship between the basic statistical metrics and actuation configuration strategies is built. In this case, a novel...
The problem of matrix approximation appears ubiquitously in recommendation systems, computer vision and text mining. The prevailing assumption is that the partially observed matrix has a low-rank or can be well approximated by a low-rank matrix. However, this assumption is strictly that the partially observed matrix is globally low rank. In this paper, we propose a local sensitive formulation of matrix...
We demonstrate a polymeric electro-optic (EO) modulator with a Mach-Zehnder interferometer (MZI) structure. Low loss fluorinated polyimide (FPI) and low cost nonlinear optical (NLO) chromophores of disperse red 1 (DR 1) were introduced to form the core layer of the modulator. The fabricated EO polymer waveguide exhibits a low propagation loss of 1.14 dB/cm, and the modulating device exhibits a good...
In multilateration system, the system's positioning accuracy for a target is directly determined by TOA (Time of Arrival) measurement accuracy of the target signal and the TOA measurement accuracy of target signal is depended on accuracy and stability of the crystal oscillator which provides system clock. Aiming at specific problems of TOA measurement accuracy of target signal in multilateration system,...
Three Dimensional (3D) memory has gained a great momentum because of its large storage capacity, bandwidth and etc. A critical challenge for 3D memory is the significant yield loss due to the disruptive integration process: any memory die that cannot be successfully repaired leads to the failure of the whole stack. The repair ratio of each die must be as high as possible to guarantee the overall yield...
RRAM crossbar consisting of memristor devices can naturally carry out the matrix-vector multiplication; it thereby has gained a great momentum as a highly energy-efficient accelerator for neuromorphic computing. The resistance variations and stuck-at faults in the memristor devices, however, dramatically degrade not only the chip yield, but also the classification accuracy of the neural-networks running...
Metal-oxide resistive random access memories with a single memristor device at the crosspoint (1R RRAM) is a promising alternative to next generation storage technology due to their high density, scalability, non-volatility and low power consumption. However, the imperfect fabrication process introduces high defect rates of the nanoscale memristor devices and leads to yield degradation. In addition,...
Quality control plays a key role in approximate computing to save the energy and guarantee that the quality of the computation outcome satisfies users' requirement. Previous works proposed a hybrid architecture, composed of a classifier for error prediction and an approximate accelerator for approximate computing using well trained neural-networks. Only inputs predicted to meet the quality are executed...
A design of miniaturized prosthetic wrist is proposed in this paper. Firstly, based on the wrist function, we divided daily activities into 4 scenarios, 12 behaviors and 30 wrist daily tasks in total. Secondly, according to the motion classification and the prerequisite of independent rotational DoF of the wrist, the 4 simplified trajectory, wrist repetition patterns(WRP), were obtained. Then, we...
Since it is difficult to obtain a closed-form solution of inverse-kinematics for a humanoid robot hand with coupled joints due to its nonlinearity induced by trigonometric transcendental function, most solutions achieved in early studies were numerical ones. In this paper, an inverse-kinematics algorithm based on the power series is presented, by which the nonlinear equation including trigonometric...
It is known that the muscles actuate human hand joints with a coordinated manner and the hand postures can be reconstructed by a few (usually two) inputs through postural synergies, which has been applied in robotic hand design for reproducing the human versatile grasp function. As for the mechanical implementation, in terms of the joints implemented postural synergies, due to the excessive number...
SRAMs based on carbon nanotube field-effect transistors (CNFETs) offer a promising alternative to conventional SRAMs due to their high energy efficiency and low leakage. However, the imperfect CNT fabrication process introduces high defect rates and a unique defect distribution; these problems may offset the power/performance benefits of CNFET-based SRAMs and lead to yield degradation. We propose...
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