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Data mapping among different data standards in health institutes is often a necessity when data exchanges occur among different institutes. However, no matter rule-based approaches or traditional machine learning methods, none of these methods have achieved satisfactory results yet. In this work, we propose a deep learning method, mixture feature embedding convolutional neural network (MfeCNN), to...
Gallium nitride (GaN) devices, as their better performance in high temperature, high efficiency and high power density converters, have been recognized as the most promising successor for Si MOSFET in the future. In order to take advantages of the superiority of depletion-mode GaN devices, a low voltage Si MOSFET is in series to drive the depletion-mode GaN device, which is well known as cascode structure...
To reduce the current loop reference distortion in traditional average current control and total harmonic distortion of line current, this paper employs improved average current control (IACC) of Boost PFC, in which a digital-generated unit sinusoidal half-wave (USHW) is introduced as current loop sinusoidal reference. Aimed at generating USHW with DSP's enhanced capture module correctly and conveniently,...
An interleaved current-fed capacitor-less DC/AC converter for PV systems is proposed in this paper with the merits low input current ripple, high power density and high reliability. This proposed DC/AC converter is composed of an interleaved current-fed dc/pulsating-dc converter cascaded with a three-phase pulsating-dc/ac inverter through pulsating-dc-link modulation. The pulse width modulation of...
An optimized modulation based on model predictive control for current-fed dual active bridge converter achieving high efficiency in wide load range is proposed in this paper. The low voltage side switches can realize zero current switching by secondary clamping technique. The pulse width modulation of secondary side switches is encoded with instantaneous power. When in light load, the turn-on moment...
There is a nonlinear relation between the blood glucose and photoplethysmography(PPG) signal. In order to estimate the blood glucose from the photoplethysmography signal, this paper presents a non-invasive blood glucose estimation using Near-Infrared spectroscopy based on the Support Vector Regression(SVR). The wavelet transform algorithm is used to remove baseline drift and smooth signals. 22 parameters,...
Myoelectric control with surface EMG signal has achieved great success in clinics, but only limited to the control of 2-Degrees-of-freedom prosthesis. With the appearance of multiple-channel and high-density EMG system and the advances of pattern recognition technology, it becomes possible to control a multi-degree smart prosthesis using EMG signals. However, it requires high performance EMG systems...
In this paper, we proposed a novel biometric identification system which can extract more distinguishable features from the ECG signal. Based on the reference point detection, piecewise correction method was used to solve the problem of heart rate variability (HRV). Besides, we used some details of parts of the wavelet coefficient structure to reconstruct more distinguishable signal. At last, the...
Accurate and timely measurement of key performance variables is crucial for safe and economic operation of industrial processes. In the cold steel rolling process, strip thickness is the key performance indicator. However, due to time delay, it can be difficult to measure accurate and timely values. Therefore, a soft sensor can be used to provide timely and accurate values. This paper proposes a new...
This paper introduces the solution of a 150 kW high speed permanent magnet motor (HSPMM). The motor is studied with its design considerations concluded for high speed application at first; then the HSPMM air gap flux density is analytically calculated and verified by finite element method (FEM); the motor stator slot number and slot opening width are studied and investigated to obtain a desirable...
Moisture absorption results in a variety of failures to plastic packaging devices. In order to gain insight the mechanism, it is necessary to carry out a molecular level investigation. In this paper, molecular dynamics (MD) simulations were conducted to investigate the moisture diffusion coefficients of the moisture into the epoxy molding compound (EMC) and the EMC/Cu interface at different temperatures...
This paper suggests a new methodology based on the Lattice Boltzmann Method for the modelling of complex biomechanical systems. The LBM can be applied for different operations due to the matching of the pixels of medical images with the nodes of the lattice used by the Lattice Boltzmann method. This allows the optimisation and reduction of the computation time when solving multiphysics complex phenomena...
The MapReduce framework proposed by Google to process large data sets is an efficient framework used in many areas, such as social network, scientific research, electronic business, etc. Hence, many MapReduce frameworks are proposed and implemented on different platforms. However, these MapReduce frameworks have limitations, and they cannot handle the collision problem in the map phase, and the unbalanced...
The considerable power consumption on logic and memory circuit system will be an unavoidable bottleneck with the shrinking of complementary metal oxide semiconductor (CMOS) technology size. One promising solution is to build non-volatile spintronic device, e.g. spin transfer torque magnetic random access memory (STT-MRAM). The basic storage unit of STT-MRAM, i.e. magnetic tunnel junction (MTJ), has...
This paper proposes a PolSAR imagery unsupervised classification framework based on consensus similarity network fusion (CSNF), which is generally utilized for biomedical Sciences and for the first time used for PolSAR imagery classification in our work. First, the PolSAR image is divided into superpixels by a fast superpixel segmentation method and five groups of feature vectors are extracted based...
In this paper, we propose a top-down building reconstruction technique based on layover modelling and MCMC method. Through representing the layover with parameterized geometrical models, the problem is converted into an optimization problem under the Bayesian scheme. The energy function consists of two parts: region part and edge part. In order to obtain global optima, simulated annealing algorithm...
E-loc is an indoor localization system, which, through using existing indoor electric wiring, detects occupants' location. While many indoor localization technologies require intensive infrastructural supports, E-loc obtain locations by injecting a signal into the protected earth line of existing residential power network. Caused by human body inside a room, the electromagnetic character changes can...
Many noninvasive continuous blood pressure measurements using photoplethysmography (PPG) are still inadequate in terms of accuracy and stability, which hinders the practical application of this method. This paper proposes a model based on ensemble method for BP estimation using PPG. A number of blood pressure calculation base-models is built on the same training data. These base-models are used to...
Adaptive streaming improves user-perceived quality by altering the streaming bitrate depending on network conditions, trading reduced video bitrates for reduced stall times. Existing adaptation approaches, e.g., rate-based, buffer-based, either rely heavily on accurate bandwidth prediction or can be overly-conservative about video bitrates. In this work, we propose a reinforcement learning approach...
With the rapid growth of online social media and ubiquitous Internet connectivity, social sensing has emerged as a new crowdsourcing application paradigm of collecting observations (often called claims) about the physical environment from humans or devices on their behalf. A fundamental problem in social sensing applications lies in effectively ascertaining the correctness of claims and the reliability...
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