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Recommender systems are now a popular research area and have become powerful tools to present personalized offers to users in many domains (e. g. e-commerce, e-learning). In this paper, we introduced an approach of personalization which extracts learners' preferences based on learning processes and learning activities (e. g. writing summary) and provides more relevant, personalized recommendations...
This study proposes a component design method based on an application-level component granularity model. The component functional scope is enlarged to cover an overall and standalone use case, and a descriptive language is equipped to straightforwardly express the object requirements. Necessary structural elements and interactive interfaces are combined into the model, jointly providing expanding...
To overcome the shortcoming of ordinary genetic algorithm, an immune genetic algorithm is designed to better solve the job shop scheduling. Based on the characteristic that optimal offspring of each generation corresponding to the workpiece machining order is favorable to the target function, the algorithm abstracts vaccine and employs the improved elitist-crossover strategy and the simulated-annealing-based...
TF-IDF algorithm is widely used in text feature extraction, in which IDF value demonstrates the importance of a term. While applying to the procession of web news, the traditional IDF doesn't work well, especially in a collection divided according to channels. In order to solve this problem, a refined IDF schema is proposed, named Channel Distribution Information (CDI) IDF, which is based on the information...
Near-infrared (NIR) spectroscopy is a kind of non-destructive technology, which has many advantages. Infrared spectrum is highly characteristic and can be used to analyze and identify. However, researches and applications of NIR spectroscopy in plant classification and growth monitoring are still rare. This paper conducted NIR spectroscopy experiments on Cinnamomum camphora and Aceraceaedie leaves...
An effective and fast face pose estimation method in video sequence has been proposed based on estimating the relative location of mouth in a face. Firstly, Faces are detected in the first several frames of video sequence. Then the detected face region is being tracked by the CAMShift (Continuously Adaptive Mean Shift) algorithm and an ellipse model is used to locate human face regions and angles...
The most cost effective approach to study the performance of virtualization technology is to use the benchmark. In this paper, we present a new evaluation methodology to deploy a benchmark evaluation with a Benchmark Object. By encapsulating three steps of traditional benchmark processes and implementing an instance from a Benchmark Object, users need not evaluate manually. Furthermore, a Benchmark...
A new approach to the problem of graph isomorphism detection base on decision tree is proposed. It is based on the approach proposed by B. T. Messmer and H. Bunke. If the time needed for preprocessing is neglected, the computational complexity of their approach is only polynomial in the number of input graph vertices. However, the decision tree is of exponential size. It's not practical for the graphs...
K-means clustering is a popular clustering algorithm based on the partition of data. However, there are some shortcomings of it, such as its requiring a user to give out the number of clusters at first, and its sensitiveness to initial conditions, and its easily getting to the trap of a local solution et cetera. The global K-means algorithm proposed by Likas et al is an incremental approach to clustering...
In this paper, a novel image fusion algorithm based on wavelet transform is presented. The images to be fused are firstly decomposed into high frequency and low frequency bands. By considering the physical meaning of the coefficients, a new selection strategy that treats the coefficients in different ways is then developed. This strategy selects the coefficients of high frequency bands with a variance...
Based on standard particle swarm optimization, the centroid of particle swarm is introduced in particle swarm optimization to enhance inter-particle cooperation and information sharing capabilities, then combining with ergodicity of the chaotic motion and fast convergence of the simplex algorithm, an improved hybrid particle swarm cooperative optimization algorithm is proposed to improve global optimum...
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