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Parallel traffic simulation is a critical component in large-scale traffic simulations and real-time traffic simulations. Dividing workloads evenly to multi-cores and multi-machines is a challenge in parallel traffic simulations. Current researches focus on map decomposition algorithms. However, without effective workload estimation algorithms, map decomposition algorithms tend to output imbalanced...
This paper conducts acoustic experiments from a signal processing perspective, to examine the “-/a/ /C_ (C)” narrow focus syllable processing strategy of Chinese L2 learners of English. The research discusses f0 as a key phonatory acoustic parameter. A result of “tight” Chinese CV structure in contrast with a “loose” English CV(C) structure obtained from our previous study has been verified in the...
In this paper, we study on evaluating physical education teaching quality based on the entropy model. The entropy model is a measure of the uncertainty associated with a random variable, which is a powerful tool in many research fields. Next, a physical education teaching quality evaluation method is designed by obtaining the maximum information entropy based on the index systems, which include 12...
The main purpose of this paper is to find an efficient image fusion algorithm for multifocus images, based on the shift-invariance, multi-scale and multi-directional properties of nonsubsampled contourlet transform (NSCT) along with human visual characteristics of spiking cortical model (SCM). Firstly, maximum selection rule (MSR) is used to fuse low frequency coefficients of NSCT. Secondly, the time...
The main purpose of content distribution network is to redirect Internet users to the servers nearest to them, known as edge cache server. Thus, their desired contents can be obtained more rapidly and steadily. With the optimized QoS (Quality of Service) of the Internet, user experience can be improved to a certain extent. Generally speaking, when it comes to content distribution network, the CDN...
Modular multilevel converter (MMC) is very convenient to construct the multi-terminal DC transmission systems (MTDC). The MTDC is most vulnerable to a DC fault, so it is necessary to have the detailed study of the fault characteristics in order to design the corresponding protection schemes. The MMC topology and its working principles are introduced and corresponding steady-state control strategy...
Traditional method to determine photovoltaic (PV) station power penetration limit adopts complex power flow dynamic calculation, which is time-consuming and inaccurate. An approximate linear optimization algorithm was proposed to calculate PV station power penetration limit in weak grid. It transformed the complex problem of nonlinear objective function and constraint condition into a simple linear...
A picosecond tunable deep-ultraviolet laser by two stages of second harmonic generation (SHG) was developed with a fundamental tunable Ti:sapphire laser from 700 to 840 nm. In the first SHG stage, two β-BaB2O4 crystals was adopted to compensate the walking of the beam direction due to frequency-tuning, which improved beam quality and increased output power. The tunable wavelength of first SHG stage...
The steganography method to RPCs is defined not only by the deployment of randomized algorithms, but also by the unfortunate need for object-oriented languages. In fact, few physicists would disagree with the improvement of object oriented languages. In this paper we concentrate our efforts on validating that the well-known perfect algorithm for the analysis of gigabit switches by Martinez et al....
In recent years, much research has been devoted to the construction of public-private key pairs; on the other hand, few have synthesized the visualization of the producer-consumer problem. Given the current status of efficient archetypes, leading analysts famously desires the emulation of congestion control, which embodies the key principles of hardware and architecture. In our research, we concentrate...
Compressive Tracking (CT) model is a recently proposed method for visual tracking, in which the appearance model is constructed from the features selected from the multiscale image feature space based on compressive sensing. The CT tracker has been proven to be effective. However, since it does not discriminatively consider the sample importance in its learning procedure, the CT tracker may detect...
Low-altitude aerial remote sensing platforms accessed reality multi-color images which had obvious characteristics and fitted for visual interpretation. These images were lacking of spectral information but rich in shape and texture information. But, the reality was that there was less study on the automatic extraction of ground information from aerial images. In this paper, UAV images were selected...
The aerodynamics characteristics of sedan model were researched by simulation, the drag coefficient and the aerodynamic characteristics around model were achieved with analysis of velocity and pressure distribution. Based on results, the below transition radius of rear-view mirror, the angle of back window and trunk lid and back trunk were optimized. The drag coefficients were reduced. The conclusions...
Microglia are Central Nervous System (CNS) cells that are similar to macrophages. They undergo characteristic changes in cell arbor morphology in response to tissue perturbation. Ensembles of microglia exhibit a progression of arbor morphologies. Our goal is to discover these progressions and determine the underlying arbor features from 3-D multi-channel fluorescence confocal microscope images of...
A microgrid with wireless communication links for microgrid control has been designed and developed. The complete simulation model has been developed in MatLab SimuLink with seamless integration of the power subsystem and the communication subsystem. Unlike the conventional co-simulators that usually connect two existing simulators together by creating an interface, which has a steep learning curve,...
Voltage stability margin (VSM) evaluation is one of the essential tasks of power system voltage stability analysis. Conventional methods for VSM calculation is based on continuation-power flow technique. Recently, there is growing interest to apply artificial neural network (ANN) techniques to rapidly predict the VSM. However, traditional ANN learning algorithms usually suffer from excessive training...
Active video games and other technology-based interventions can promote physical activity participation in children and adolescents, particularly those who are uninterested in traditional sports or lack access to gyms, sports clubs, or safe neighborhood recreational environments. Yet simply placing a game console in a home or school might not be sufficient for changing physical activity behaviors...
In order to promote Chinese language learning and improve the architecture of Chinese learning website to provide a better user experience, we analyze the web usage of a Chinese learning website using power law cumulative probability statistics for the first time. As the result, we find that several aspects of the web usage obey power law distributions, including the geographical distribution of users,...
Feature selection plays an important role in text classification. Unbalanced text classification is a kind of special classification problem, which is widely used in practice. However, what is the most effective method on unbalanced text classification? As we all know there was not a systematic research about these feature selection methods on unbalanced text classification. This paper is a comparative...
In microblog services such as Sina Microblog, users may get overwhelmed by the raw data from every profession and trade. In this paper, we propose a classification method focus on user's occupation. It's of great use in user information filtering and targeting advertising. As short texts like tweets do not provide sufficient word occurrences, classification methods that use traditional approaches...
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