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Wireless mesh network (WMN), as one of the various wireless bandwidth access networks which evolve into the next generation to provide better service, has emerged recently. With the advantages of both wireless LAN and ad hoc, WMN has its characteristic performance in the following aspects: capacity, speed and coverability. In order to solve channel assignment problems in WMN, connectivity of the communication...
To meet enterprise and grand challenge-scale performance and high availability requirements, a new type of storage cluster - iSCSI-based NAS cluster (iNC) is being designed. There are many advantages in an iNC system: firstly, it provides scalability without the added complexity by a single consolidated centralized storage management view for integrating multi-NAS with multi-user virtualized file...
In e-commerce protocols, malicious participants misbehave on their benefits. There is some work in analysis the application-protocols but little similar work about the foundation-protocols. To fill the gap we use semi-regular entities to denote the entities different from penetrators that participate in the protocol on behalf of themselves such as customers in e-commerce. A method in strand space...
The core of enterprise management is to stick up for the profit of partners and create the best value. The value lies on the long-term effective enterprise performance management. Enterprise performance management is the core of human resource management, but the evaluation methods of the performance management are still qualitative mostly, which are of great limitation. In this paper, we firstly...
To overcome the disadvantage influence of time delay term on the TCP/AQM control system model, the paper proposed that a new AQM algorithm called SPI (proportional integral control based on Smith predictor), which combined Smith predictor and Dahlin algorithm. By moving the time delay term to the outside of control loop, SPI can eliminate the influence of time delay on the system performance, and...
An automated and adaptive feature extraction method is discussed in this paper. The method is based on the wavelet packet transform (WPT) and used to extract features of electroencephalogram (EEG) signals for brain computer interfaces (BCIs). The idea is to employ the best basis algorithm to select the most appropriate wavelet and the best wavelet packet basis automatically. Meanwhile, both the selected...
This paper proposes a new constraint direct disposal method (GA-CDD), which need not penalty factor, is a universal method dealing with constraint. In order to increase convergence velocity and get global optimal solution, a skill of reserving some unfeasible solution was introduced. The experiment study has shown that the method proposed in this paper is very effective, especially the optimal solution...
In order to analyze the principle of the breast-cancer mapping imaging, using the ANSYS finite element analysis software, this paper establishes three-dimensional human body model, studies the difference between the two excitation strategies, and draws a conclusion that the non-same excitation strategy is better than the same side excitation strategy. To simplify model building, this paper constructs...
In this paper, based on M-S model and level-set method, a new method for initializing level-set function and hierarchical constant segmentation is proposed in order to overcome the shortcomings in the Chan-Vese model. First, by improving the initial level set function, the process of re-initializing level set function in traditional method is eliminated, and the initial conditions are easier to handle...
Color features are important to pictures and they are easy to calculate. Therefore, the features are widely used in content-based image retrieval (CBIR). A color histogram describes the frequency of colors in images. It won't change with the variations of pictures' geometry, so it is a widely used feature for image indexing although it has some shortcomings. In this paper, we propose a new color space...
A novel information fusion method for solving the automated registration problems was proposed. The main information sources include the global optical flow field and feature extracted from images. Our primary contribution is an improved estimation algorithm for computing the optical flow field using anisotropic diffusion. Moreover, we show that the registration process can be consolidated through...
There is a sort of dynamic system with multiple sensors, which are usually used to measure the same target and possess different sampling frequency and characteristic. To fuse the data arising from these sensors in this dynamic system, the new concept irregular tree is put forward, a new multiscale representation is presented by use of the Markov statistical characteristics in most phenomena or processes,...
A novel gender classification system has been proposed based on Gaussian mixture models, which apply the combined parameters of pitch and 10th order relative spectral perceptual linear predictive coefficients to model the characteristics of male and female speech. The performances of gender classification system have been evaluated on the conditions of clean speech, noisy speech and multi-language...
Chinese new words extraction is an important problem for Chinese information processing. In this paper a new words extraction method based on machine learning is proposed, where the context information, the word construction rules and statistic information are combined to extract new words. An experiment, based on two-character-nouns, shows that this method can well improve the efficiency and accuracy...
The traditional English text chunking approach identifies phrases by using only one model and phrases with the same types of features. It has been shown that the limitations of using only one model are that: the use of the same types of features is not suitable for all phrases, and data sparseness may also result. In this paper, the divide-conquer approach is proposed and applied in the identification...
Optical formula extraction is considered as an important step of mathematical formula recognition, which can convert scientific papers into their corresponding electronic format. So far little research has been done in this area. This paper proposes an approach of extracting embedded formulas that first invokes a searching algorithm to find the connected components of the input document, calculates...
Bayberry juice is a green beverage contained many different kinds of nutrition components. Visible and near infrared reflectance spectroscopy (Vis/NIRS) offers a promising means for the detection of bayberry juice varieties. A total of 60 bayberry juice samples (20 for each species) were investigated for Vis/NIRS on 325-1075 nm using a field spectroradiometer. Absorbance of 20 samples of each variety...
Owing to the fluent and lightweight nature of freehand drawing, sketch-based user interface is becoming increasingly significant in graphical computing. However, it is still an important problem that user can fluently draw with such a tool. This paper presents a strategy for online diagramming recognition. Two distinct characteristics are addressed. Firstly, a method of automatic stroke parsing is...
Integration of various fingerprint matching algorithm is a viable method to improve the performance of a fingerprint identification system. In this paper, we firstly use minutiae to align the input fingerprint image, then use filterbank-based matching algorithm. Secondly, we present a hybrid matching algorithm that uses both minutiae information and texture information. Results obtained on the FVC...
This research uses the extension neural network type-1 (ENN-1) method for air pollution inspected by remote sensing data of automobile's exhaust. The outdated automobiles emit exhaust as part of the moving air pollutants. To lessen the air pollution effectively and improve the efficiency of remote sensing tools, this paper develop a automatic inspected method based on the ENN-1 and using the data...
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