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In this work, we present an analytical model of malware spreading in wireless personal area networks (WPAN) based on IEEE 802.15. This model describes WPAN by means of some statistical parameters such as the average node degree of the network, the average encountering rate between nodes and the duration of connection etc. Also it expounds what effects the network protocols and moving patterns have...
In order to improve the degree of design knowledge reuse and to promote the intelligence lever of product configuration, a configurable product design method is proposed, including the definition of product component based on the object-oriented ideology, the investigation for the method of product componentization and configuration design, and the case study of developing the CNC human-machine interface.
In the development process of human society, we will face more and more common problems such as energy, war, disease, protection of the environment and international terrorism. In order to promote the common development and progress of mankind, global collaboration and communication is particularly important. In this article, we analyze the China's problems in current global collaboration and communication,...
This article mainly deduces the new method of the shielding effectiveness, using transmission lines method to compute power, then we can use power to compute the shielding effectiveness with PCB in it. Because power takes into account the attenuation of electromagnetic fields in the high-frequency, compared to voltage method, we can get that power method calculating shielding effectiveness is accurate...
Full angle noncontact fluorescence molecular tomography allows acquiring large data sets from complete angles, and simplifies the experimental setups. Accurately extracting animal surface is important for this kind of imaging systems. However, in in-vivo experiments, mouse breath movements and mechanical errors will influence the surface reconstruction. An optimal Radon transform based surface reconstruction...
The fluorescence molecular tomography (FMT) image quality could be improved significantly with reconstructed optical properties using diffuse optical tomography (DOT). However, different DOT algorithms and different constraint parameters usually lead to DOT images of obvious different image quality. In this paper, simulation experiment results demonstrate that the FMT image quality is robust to the...
The application of CCD camera improves the quality of fluorescence molecular tomography (FMT). However, large size of data set offered by CCD might increase the computational burden in the reconstruction. To balance the data size and reconstruction quality, singular value decomposition (SVD)-based analysis is applied. Simulation is performed with mouse atlas. By observing the relative gain of number...
During the rapid development of economy and the further deepening of reform, due to the deficiency of some content of the entrepreneurship, a series of problems have been exposed, such as food safety, producing and marketing fake and shoddy goods, mining mishap, marketing fraudulent information, business fraud, accounting fraud, defalcation, manipulation of security price and bribery. As a result,...
The growing popularity of short-range wireless networks makes them increasingly attractive to malware writers, and malware targeting portable wireless-enabled devices such as Bluetooth-enabled smart phones has already begun to appear. In this paper, using the theories of epidemics, we present a propagation model of malware in short-range wireless networks and investigate the propagating behaviors...
To solve the problem that the performance of speech recognition systems declines in the noisy environment, this paper used the linear predictive Mel frequency cepstrum coefficients according with human hearings characteristic as speech feature parameters, adopted two recognition machines, the support vector machine and the wavelet neural network, realized respectively a speech recognition system of...
An important factor that influences the performance of support vector machine is how to select the parameters. Particle swarm optimization is an efficient algorithm and it is broadly used in many research areas like pattern recognition. In order to improve the learning and generalization ability of support vector machine and enhance the speech recognition system accuracy, a method for searching the...
A new variable step size LMS adaptive filtering algorithm is proposed based on variable region. The step size mu(k) in the algorithm varies with variation of the deviation e(k) region to ensure the optimization of the three performance objectives, which are initial convergent speed, tracking ability of the time-varying system and stable state convergence precision. The convergence of the algorithm...
This paper presents a generalized modeling scheme for quantum-cascade structures with nonlinear effects up to the third-order. The linear and nonlinear performance evaluated from this model agrees well with published experimental results.
In the noisy environment, the performance of speech recognition system may become worse to some extent. In order to solve this problem, this paper used the zero-crossings with peak amplitudes (ZCPA) features as speech feature parameters, which are based on human hearings property. The extraction method of ZCPA features is that calculating the unward zero-crossing rate of speech signal gets frequency...
Kernel parameters selection of support vector machine is a very important problem, which has great influence on the performance of support vector machine. In order to improve the learning and generalization ability of support vector machine and enhance speech recognition system accuracy, a method of searching for the Gaussian kernel support vector machine optimal parameters(C, ?? ) based on particle...
Acupuncture has been used and proved to be effective in the treatment of some diseases. In this paper a functional near infrared (fNIR) imaging system was used to monitor the cortices response to acupunctures in clinical experiments. The imaging system is based on continuous-wave NIR imaging technique. In clinical experiments, acupunctures were firstly applied to a group of volunteers to investigate...
We investigate the effects of risk perception in a SIS model for malware propagating in different types of networks such as regular, random and scale-free. We assume that the perception of the risk of being infected rely on the fraction of neighbors that are infected. The effects are mainly affected by two parameters denoted by J and ??, which models the linear response and nonlinear effects respectively...
Indocyanine green (ICG) is a fluorescent probe widely used in clinical and animal experiment. It is important to study the ICG biodistribution in mammalian organs. We present an in-vivo measurement method based on fiber system and the experiment on small mammal, to demonstrate the potential applications of this method.
In 2D fluorescence molecular tomography, there are usually discontinuities in the reconstructed image of continuous targets when using triangle mesh for discretization. A spatially smoothed linear scheme is proposed to overcome the limit. The phantom experiment on a full angle imaging system demonstrates the efficiency the proposed method.
Multi-modality imaging, which combines different imaging methods to provide structural, functional and molecular information in one single context, is an important trend in both small animal imaging and clinical research. This presentation introduces some recent advances of multimodality and highlights two systems, FMT-CT and FMT-PET to show their distinct advantages.
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