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Aiming at the characteristics of large scale, huge load and different service requirements of the ethernet passive optical network (EPON), a new networking strategy, grouping management of optical network units (ONU), is proposed. In this paper, we first consider the economy, network delay and load balance, and establish the cost model, the load balance model and the network delay model. Secondly,...
Stereoscopic vision is a complex system which receives and integrates perceptual information from both monocular and binocular cues. In this paper, a novel reduced-reference stereoscopic image quality assessment scheme is proposed, based on the visual perceptual information measured by entropy of classified primitives (EoCP) and mutual information of classified primitives (MIoCP), named as DCprimary,...
A method for single odor source declaration (OSD) based on mass flux criterion in three-dimensional (3D) airflow environments is proposed. Gas and wind sensor nodes are placed at the four vertices of a regular tetrahedron. To compute the total mass flux of each regular tetrahedron surface, the gas concentration and wind vector at every grid of four surfaces are estimated according to the sensors information...
The purpose of this paper is to find a suitable sampling method for portable electronic noses. For this reason, two sampling methods, namely classic dynamic sampling (CDS) method and bio-inspired breathing sampling (BBS) method, were studied using a portable e-nose designed by us. In order to test the performance of the two sampling methods, the same data processing procedures were employed to handle...
Traditional data processing methods for electronic noses (e-noses) need to use the whole response curves (including rise, steady and recovery phases) of sensor array, which leads to a long sampling time. The traditional methods also perform many steps such as signal pre-processing, feature generation/reduction, and classification, which increase the difficulty of selecting a suitable method for each...
The human visual perception is a layered progressive process that brain assimilates visual information gradually, from primary information, structural information to detailed information. Recently, the visual primitives (atoms in the dictionary) extracted by sparse representation have been shown to be highly related to the layered progressive process of human visual perception. In this paper, the...
In this paper, a novel FSS radome is developed and measured. This radome has one transparent passband and two absorptive bands. These two absorptive bands are separated by the passband. The radome is manufactured and measured to verify its unique electromagnetic characteristics. In the passband, the gain of the antenna with our radome is only 1∼2dB lower than the one of the antenna without any radome...
Homogeneous Spiking Neural P Systems(HSN P systems, for short) are a class of neural-like computing models in membrane computing, which are inspired by neurons that they are "designed" by nature to have the same "set of rules", "working" in a uniform way to transform input into output. HSN P systems can be converted to Weighted Homogeneous SNP systems and the using of...
Wind estimation is quite important for the control and applications of quadrotors. On the basis of the freestream-velocity estimation method using inclination-angle measurement, this paper proposes a correction method considering the acceleration's influence on the quadrotor. Both the original and correction methods use the data that totally come from the inertial measurement units (IMUs) of the quadrotor...
In this paper we investigate FCSR memory sequences in two aspects, period and complementarity property. We show that an FCSR memory sequence shares the same period with its associated binary sequence for a special kind of connection integers. Especially, binary sequences generated by an FCSR with such connection integers contain most of the l-sequences. Furthermore, for an l-sequence ...
We show in this paper that if the primes share their some bits (e.g. Least-Significant bits), RSA system with small private-exponent is much more vulnerable to the Boneh-Durfee Attack.
A 30kVA SiC MOSFET inverter is developed for 180°C ambient temperature operation. The power structure and gate drivers of the inverter system are designed based on SiC MOSFETs and other high temperature (HT) components. The prototype inverter system has been built, and placed in a thermal chamber of 180°C for testing. The HT operation of the inverter has lasted for more than 85 hours accumulatively...
The medium power rating two-level three phase voltage source inverter is among the most popular power conversion systems. The typical switching frequency of the commercial medium power rating inverter, however, is limited to tens of kHz. By increasing the switching frequency and using emerging gallium-nitride devices, the size of the overall system can be greatly reduced. This paper begins by reviewing...
Wireless power transfer (WPT) holds great potential to achieve strong galvanic isolation, compact size, and low parasitic capacitance in the power supply of gate driver. In this paper, a wireless power supply is designed and analyzed for high voltage gate driver application. The performance of the power supply in terms of power delivery, parasitic capacitance, and driver output is explored in the...
In this paper, we present a cycled merging registration method based on Iterative Closest Point (ICP). We capture the point clouds by a static Kinect with the object rotating on a turntable. Different views of scan are combined by ICP and then a globally consistent human model is obtained. Our method simplifies the process of successively registration, which is usually used to solve multi-views registration...
To solve the currently existing problems of time consuming and low flexibility in warfare simulation experiment, an intelligent control method based on neural network is advanced, imitating human's thinking process of decision. Firstly, the main general idea and framework of the intelligent control are introduced. Secondly, the structure and training algorithm of three layered feedforward neural network,...
The true-fake detection of Chinese liquors can be considered as a one-class classification problem. Using only positive sample in training process brings about difficulties in determining the optimal parameters of one-class SVM and its kernel. And one-class SVM optimized with conventional grid search method has a low recognition rate of positive test samples. Hence, we proposed a new idea for recognition,...
We proposed a bio-inspired neural network to perform data processing in an electronic nose (e-nose) system. The structure of the proposed neural network is similar to mammals' olfactory system which contains olfactory sensing neurons, mitral cells and granule cells. This neural network largely simplifies traditional data processing steps in e-noses. It uses the original data collected from gas sensors...
We designed a portable electronic nose (e-nose) for rapid detection of Chinese liquors. The e-nose had an evaporation chamber wrapped with silicone heating band, which could vaporize the liquor samples in 1 minute. The sequential sampling and clean-out lasted 100 seconds and 3 minutes, respectively. Hence, one fast detection process could be finished within 3 minutes without regard to clean-out. In...
We designed an electronic nose to classify different Chinese liquors. Kernel entropy component analysis (KECA) was applied to reduce the dimensionality of data sets. In order to avoid the blindness of parameter setting, particle swarm optimization (PSO) algorithm was employed to optimize parameters in KECA. At last, we adopted extreme learning machine (ELM) as a classifier to classify eight kinds...
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