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Software development methods aim at solving the software crisis. Many presented methods gain reputations under special application environments. There are so many kinds of methods that developers are troubled when choosing the most suitable one. This article presents a pervasive software development method aiming at helping developers deal with the trouble. The pervasive method advocates logicality,...
After introducing the content of knowledge management and digital libraries, the paper discusses about the necessity of constructing knowledge management in university digital libraries, the application of knowledge management in university digital libraries and organizing mechanism, technical mechanism, learning exchange mechanism and motivates mechanism of knowledge management in university libraries...
How to preserve causal and totally ordered event delivery is an important issue in real-time serverless DVE(Distributed Virtual Environment). However, most of the related works are designed to maintain causal order merely or time stamped order with intensive computation and bandwidth overhead. In this paper, we proposed a novel distributed algorithm to maintain the before-and-after relationship between...
In order to improve the recognition rate and practicability of the existing speech access control system, a method of HMM/ANN hybrid model was presented. By the analysis on the principle of speech recognition system, a speech access control system was designed by using DSP as the hardware platform. The working principle and the software design process of the system were described. In the training...
Visible and near infrared (NIR) spectroscopy was utilized to determine the growing areas of Tremella fuciformis. Principal component analysis (PCA) obtained the cluster plot which shows the difficulty to determine the growing area by the first three principal components. Least-square support vector machine (LS-SVM) was used to establish the calibration model. Successive projections algorithm (SPA)...
A novel algorithm of Electromagnetic Environment (EME) is proposed in this paper. Assessment indices are established based on analysis of factors influenced electromagnetic environment complex. Index weights are acquired by fuzzy comprehensive evaluation method. The grade of complexity is computed based on complex evaluation values according to the grade standard of complexity. Experimental result...
Besides accelerating graphics rendering, GPU is also applied to high performance computing in non-graphics application field. For complex multivariate function on GPU, texture look-up method is proposed to enhance computational efficiency. Reconstruct the complex multivariate function to several two-variable functions and then map them to different 2D textures. When real-time running, one texture...
Service mapping is an important part of Open and Reconfigurable Networks (ORN), which is proposed to solve the network convergence problem of emerging applications from the aspect of “application mapping to service, and service mapping to component”. This work introduces the ORN simply firstly; and then presents a general service model, which has four elements, such as Role, Protocol, Quality, and...
Medical data mining is so challenging. In this paper, we propose a new data mining algorithm called GAJA2, which is a derivation of GAJA [1]. We apply GAJA2 to mine Acute Inflammations data set, a medical data set got from UCI machine learning repository 2009[2]. This data set is about symptoms and diagnosis of two diseases of urinary system which are inflammation of urinary bladder and Nephritis...
Recently, as the economy developed to provide abundant lifestyle, the importance of design is becoming more and more critical. However, even though color is important, users are feeling difficulty in choosing and using colors since learning about colors requires a lot of time to understand the basics as well as go through training. Thus, in this paper, we propose the rules to systematize the basic...
The problem of environmental quality assessment is a pattern recognition problem, and a well-trained ANN can exploit the underlying nonlinear relationships that determine the environmental rating of a region. In this study, we are trying with the neural network model to make an effective analysis for environmental quality assessment. A 4-9-1 three-layer feedforward neural network using the backpropagation...
There are two shortages when the method of classification based on association rules is applied to classify the web documents: one is that the method process the web document as a plain text, ignoring the HTML tags information of the web page; another is that either item of the association rules is only the word in the web page, without considering the weight of the word, or it quantifies the weight...
The researching of industrial wireless network technology is in full swing, There are mainly Wireless HART, ISA SP100 and WIA. Wireless network technology used in industry must be high reliability, and heartbeat algorithm is the key technology of redundant mechanisms. This article studies a heartbeat algorithm based on the PULL mode, which focused on considering the impact for redundancy mechanism...
Directory is adopted by most CC-NUMA direct connection multiprocessor system. As a result, how to implement the directory is one of the key issues for the system performance. In this paper, we propose a novel technology, which divides up some space from the last-level cache (e.g., tertiary cache, L3) for storing the directory information. The directory space size could be adjusted flexibly according...
We consider the rescheduling problems arising when two agents, each with a set of nonpreemptive jobs, compete to perform their respective jobs on a common processing resource. Each agent wants to minimize a certain objective function, which depends on the completion time of its jobs only. In this paper, we consider the two agents rescheduling problem for jobs on a single machine to minimize total...
The problem of end effects in Hilbert-Huang transform is produced in the Empirical Mode Decomposition (EMD), which has a badly effect on Hilbert-Huang transform. In order to overcome this problem, multi-objective Genetic Algorithm (GA) for solving the parameters selection of RBF Neural Network (RBF_NN) (GRHHT) is presented in this paper. Then the RBF_NN is used to predict the signal before EMD. The...
Due to their adverse health effects and their abundance in urban areas, diesel exhaust particles (DEP) have been of great concern in the past years. An experiment was carried out on a direct injection, turbocharged diesel engine to investigate the number emission characteristics of particles. Furthermore, an artificial neural network (ANN) was used to establish an emission model of the diesel engine...
As a substitute for conventional diesel, biodiesel has received considerable attention in many countries. To investigate the emissions of an engine by experiment is time-consuming and costly, so a lot of mathematical models are used to predict the emissions of engines. A back propagation (BP) neural network was used to establish an emission model of the diesel engine fueled with biodiesel The results...
Low-energy electron and diatomic molecule scattering mode are important issues in physics study. As the research object is becoming increasingly complex, the traditional sequential computing method is unable to meet the requirements of large-scale computation. Based on above-mentioned background, this article proposed a parallel computing method about static potential model in a multi-cluster environment...
Hybrid system is a dynamic system that has discrete state transfer and continuous state variation. Recently, popular hybrid system model includes threshold-event-driven hybrid systems (TEDHS) and polyhedral invariant hybrid automaton (PIHA). Finite state machine is used to describe the discrete feature of hybrid system and reachable set of stream pipe is used to describe its continuity approximately...
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