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Human pulse recognition is an important part of the objective study of Traditional Chinese Medicine (TCM). In the current human pulse recognition methods, there are many feature extraction algorithms but many are complex and redundancy exists in the features selections. This paper focused on the typical convolutional neural network (CNN), and designed a 9-layer CNN which can be used to human wrist...
In the traditional world, marketing studies managed to employ various techniques to explore customers' consensual experiences toward products with limited information available. The uses of surveys, focus groups or regular individual interviews are some of the frequently used methods by marketers. We are now entering in the era of Big Data. The explosion and profusion of the unprecedented scale of...
The more RDF data increase, the more difficulty we can get SPARQL query result fast when we use single processing. So it is necessary to adapt parallel processing in processing SPARQL query. This paper propose effective RDF structure and parallel SPARQL algorithm using GPU. In experiment, we evaluate our algorithm with previous work in terms of data size and query processing performance. Though experiment,...
Reports have shown that people spend 70% of their time indoor on average. Understanding indoor activities and locations have become significant research issues in recent years. Due to the massive deployment of WiFi access points around the world, the feasibility of indoor localization based on WiFi signals has been justified. There has been a lot of research work providing acceptable accuracy for...
The application of image super-resolution technologies in recent years has increased noticeably. The main purpose of image up-scaling is to obtain high-resolution images from low-resolution images, and these up-scaled images should keep satisfactory visual qualities and present natural textures. The most popular image up-scaling algorithms are based on interpolation methods in spatial domain. However,...
In this study, we present an investigation of the control performance of an adaptive controller using a multi-layer quaternion neural network. The control system is a self-tuning controller, the control parameters of which are tuned online by the quaternion neural network to track plant output to follow the desired output generated by a reference model. A proportional-integral-derivative (PID) controller...
The TDOA-based indoor localization is widely utilized due to high precision. However, the ranging signals may be contaminated by non-light-of-sight (NLOS) propagation, with the results that the accuracy and robustness of localization system can be seriously degraded. In this paper, a tetrahedron-constraint assisted localization algorithm is proposed to mitigate NLOS effects. The errors induced by...
More and more fantastic buildings with sculptural, challenging constructions are promoted, and they probably have owned or to be connected with very large spaces and highly need the remote control / monitoring / aid on devices, people and vehicles. To enhance detection availability, information integrity, or to rationally develop civilization services, counter sabotage attacks and radio interference,...
The proposed method changes the original remote controller for home appliances become IOT (internet of things) technology-based and cross-platform control by the smart phone remote wireless control. In our research, smart phone will replace the traditional remote control operation. When the controller press mobile Web App, in addition to the circuit module will emitting infrared signals, our hardware...
The brain-machine interfaces (BMIs) can establish direct communications between living brain tissue and external devices, and be applied to rehabilitate motors for disabled subjects. Considering a decoder is a key component in BMIs system, in this paper, two kinds of decoders based on the Wiener and Kalman filter are developed, and a comparison is performed to select a decoder with better performance...
In this paper, we investigate the impact of using directional antennas and beamforming schemes on the connectivity of cognitive radio ad-hoc networks (CRAHNs). Specifically, considering that secondary users uses two kinds of directional antennas, i.e. uniform linear array (ULA) and uniform circular array (UCA) antennas, and two different beamforming schemes, i.e. randomized beamforming and center-directed...
An integrated current detector designed to protect high voltage LDMOS power switches is presented in this paper. The proposed detector monitors the current of power switches by a mirrored ratio current. Power switches can be automatically turned off once the mirrored current exceeds the predetermined triggered value and thereby protect power switches from being damages. The response time of current...
For the output current distortion and larger harmonic of conventional PWM inverter, a predictive control method with minimum cost current is proposed. Based on the predictive control model of the inverter and load, the forecast current is calculated by the sampling current and predictive model. Furthermore, the optimum switching vectors with minimum cost and lower switching times can be got through...
Robot soccer is a classical problem in artificial intelligence. In robot soccer competitions, how to locate the robot properly is a key problem. This paper proposes a geometric localization method with monocular vision for robots. Firstly, the image is segmented and attributes are obtained by converting color space and RLE algorithm. Then a monocular vision localization model is built, in which both...
The most obvious peak in electrocardiogram (ECG) is the R-wave. This paper contends that while many previous ECG and heart rate variability (HRV) studies have focused on using R-wave and R-wave interval (RRI) as the primary method for analyzing physiological data, this study differs from many conventional methods by using R-Wave Amplitude (RWA) as a source of data, and found that during awakeness,...
Aiming at the deficiencies of the phase-mode transform and wavelet transform in power cable fault diagnosis, this paper proposed a new method that combines the modified phase-mode transform with wavelet transform for power cable fault recognition and location. Firstly, the modified phase-mode transform was used to overcomes the limitation that the fault start angle impacts the fault recognition in...
The premise and foundation of autonomous landing relative navigation based on vision for unmanned aerial vehicle (UAV) are accurate detection of landing cooperative target. In order to overcome the problem of cooperative target detection susceptible to illumination change and the interference, a new landing cooperative target detection algorithm based on low rank matrix recovery theory is proposed...
To further improve the output power of the intrinsically safe Buck converter, and ensure to meet the requirement of the output ripple voltage (ORV) in the case of the rather small inductance and capacitance, the Buck converter with output low pass filter (LC-Buck converter) is proposed. The ORV of LC-Buck converter is analyzed within the given input voltage and load resistance ranges. It is indicated...
In the study of physical phenomena transmission lines, power lines in the study of the parameters is essential. For example, in the flow calculation on the line, you know the line at 50Hz or 60Hz positive sequence parameters, during short circuit fault analysis system, you need to line the negative sequence parameters and zero-sequence parameters, while on the line transient when studies have only...
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