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Edge contraction simplification based on DEM terrain algorithm is proposed as a new terrain simplification algorithm which is based on DEM terrain data characteristics. The algorithm introduces the gradient of triangle, and combines with gradient and the length of edges as weight of the vertex to represent the importance of a vertex. By using the vertex weight, we can constrain the region being affected...
The emergence of intelligent tutoring system (its) has opened up new avenues for the use of computers in education. ITSs are able to tackle difficult instructional problems and extend the usefulness of the computer as an instructional tool. This paper presents the work done on some aspects of the design and implementation of intelligent tutoring system for numerical method(ITNM). A didactic attempt...
This paper discusses the two important phases, which are data preprocessing and clustering analysis, in Web transactions clustering analysis, in order to gain an easily interpreted clustering result, we introduce the "Concept URL" in the data preprocessing phase; In the clustering analysis phase, A model of artificial ant is set up. Based on this model, we implement an ant-colony clustering...
In this paper, we present an adaptive sparse factorization method for even-determined and over-determined blind source separation, where the sources are assumed to be sparse. The objective of our method is to find a demixing matrix to make the output signal as sparse as possible. First, a cost function measuring the sparsity of the output signals is introduced. Then an adaptive algorithm for the learning...
A generic three-dimensional graphic simulation system with multiple viewpoints has been implemented. Beside presenting instant visual response to user's instruction and/or teaching script, it has other features such as graphics overlay on video images and virtual fixture. It is useful for students to study basic principles of robot kinematics/dynamic as well as scientific research. Most notably, by...
This study develops a model for simulation of the behaviors of learners under the influence of motivation, engagement and intervention through application of cellular automata. It investigates the changing patterns of learners' behaviors when the three factors are assigned with different values individually. The results obtained show good agreement with the phenomenon generally being observed in practice.
This paper deals with a hybrid optimization method for solving the optimization problems with inequality constraints and equality constraints, in which an adaptive penalty strategy is firstly adopted to convert the optimization problem with both equality constraints and inequality constraints to one only with lower and upper bound constraint of decision variables, then an adaptive real-coded genetic...
It is an all-important and pivotal technology to translate dosage of each herb in a prescription into effect intensity measured by some models. In this paper, we present relevant Chinese medicine (short in CM) knowledge used for mining of prescription efficacies, and studying necessity of measuring "how effect of any herb depends on dosage" for CM AI systems, and discuss relevant issues...
WIA-PA is a specification of wireless networks used for industrial-process automation. It has a two-tier network topology: Star and Mesh. In star network all the access can communicate with other devices through the Cluster-Head. In this paper, we have researched and designed redundant clusterhead model based on adaptive heartbeat protocol for bottlenecks in Star network. The model divides redundant...
Control channel model parameters of adaptive filter feedforward control for piezoelectric smart flexible structures should be predicted, as not only they are the key factors of system stability and control effect but also they have immediate impacts on system convergence and the validity of control strategy. This paper takes the piezoelectric flexible structure as research object. According to least...
Process Neural Network (PNN) has an important significance in solving industry modeling problems which are related to time, but long time is cost on high dimension inputs nonlinear modeling problems. A new Improved Process Neural Networks based on KPCA and Walsh (IPNN-KPW) are proposed in this paper. KPCA method and discrete Walsh transform are used to reduce process neural network's time cost. Momentum...
The existing e-campus management system continues to develop intensely driving the service requirements towards a deep application base in data sharing and operation cooperation. The article introduces SOA technology and the superiority of composing services according to the requirements of an information system. This article also brings forward the architecture and construction of the e-campus management...
This paper introduces the SOA (service-oriented architecture) method into the adaptive learning system in semantic web. The author argues the key topics in SOA, and then a SOA solution based semantic learning web is proposed. According to this initial solution for the design and development of such learning services, the existing heterogeneous learning systems and all kinds of educational resources...
The interoperability between the e-business platforms is the precondition of bringing it into effect. The automatic test model proposed in this article can execute the interoperability testing between message service handlers applied in the e-business platforms. In addition, the model has the advantage of good extension. The test cases and the other e-business specifications can be easily extended;...
To improved the prediction accuracy of the flow stress, a hybrid model based on the hybrid least squares support vector machine (HLS-SVM) and mathematical models (MM) was proposed. In HLS-SVM model, the optimal parameters of LS-SVM were obtained by self-adaptive particle swarm optimization (PSO) based on simulated annealing (SA). Simulation experiment results revealed that this model could correctly...
Service-oriented computing (SOC) is the computing paradigm that utilizes services as fundamental elements for developing applications. The modeling and analysis of services-oriented software requirements is one of important study contents in SOC. Owing to frequent changes of individual or collective requirements, continuous evolution of system function and structure, the study object of services-oriented...
This paper presents a learning object organization model based on conceptual domain, which is a development based on the SCORM Specification. Firstly the Conceptual Domain knowledge is represented as a standardized form for sharability and reusability, and then the learning objects can be packaged based on the Conceptual Domain for interchanging them among different e-learning systems. In this model,...
In this paper, we present the design, modeling and analysis of particle swarm optimization (PSO) algorithm in very-high-speed integrated circuit hardware description language (VHDL). PSO performs a structured randomized search of an unknown parameter space by manipulating a population of parameter estimates to converge on a suitable solution. This is especially useful for optimizing IIR and nonlinear...
Architecture-centric system is the logical model about self-adaptive goal's achievement of software. Based on this concept, requirement service is the driven power, the strategy definition of self-learning and self-(decision-making) is viewed as inner evolution of architecture's business mechanism. Agent is the basic internetware granularity of architecture, it is to build an architecture-centric...
As one of the most important coordination mechanisms, contract net protocol (CNP) has been extensively studied in many fields, where many other techniques are also used to improve the decision quality. CNP suffers from multiple disadvantageous limitations in the open environment of MAS, so the trust model, a fundamental issue in large-scale open distributed systems, is introduced into CNP in this...
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