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Epilepsy is a kind of common diseases and frequently-occurring diseases damaging human health, and has a big impact on patient's body and mental health due to its attack at any place and any time, which has been the valued neutral network disease with high incidence in many countries. This paper proposes the mixed feature extraction to extract the feature by mixture of timedomain method and nonlinear...
The reproduction of a virtual human's behavior technology has become one of the hot research topics in recent years. This article discusses the problems and solutions might be encountered in the research of generating realistic human behavior animation. First of all, we analysis the content of three-dimensional model file formed with 3DS format how to reproduce an all-round mode. Secondly, we analysis...
The highly parallel framework of Spark enables it to have outstanding advantages in accelerating computing speed. At the same time, artificial bee colony (ABC) algorithm needs to improve its performance because of its high time complexity. In this paper, we combine ABC algorithm with Spark platform. First, we extend ABC algorithm to the multi-objective artificial bee colony (MOABC) algorithm; then...
This paper presents an optimized watermarking scheme based on the discrete wavelet transform (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD). The result of multiplying the left singular vector and matrix with the singular value matrix of a binary watermark are embedded in the result of multiplying the left singular vector and matrix and the singular value matrix of the...
This paper describes our work for ALIDATA DISCOVERY competition. Through analyzing massive real-world user action data provided by Tmall, one of the largest B2C online retail platforms in China, we try to predict future user purchases. The prediction results are judged by F1 Score that is consist of two parts, precision and recall rate. The provided data set contains more than 500 million action records...
Obtaining user location trails has become much easier as the coming of mobile internet. However, how to accurately cluster mobile users based on their location trails has become a challenge. This paper presents an approach to clustering mobile users based on time and location. It extracts center position from user location trials according to duration and uses time factor and time-weighting to cluster...
Partition outlier using neighborhood radius has proven to be an effective distance-based detection algorithm. However, it is not yet clear how to choose the neighborhood radius dmin, and getting the value by trial and error is still been widely adopted. This paper presents a method to get the neighborhood radius from fractal dimensions which is used to describe the self-similarity of a dataset. We...
N-gram Language model plays an important role in statistical machine translation. Traditional methods adopt perplexity to evaluate language models, while this metric does not consider the characteristics of statistical machine translation. In this paper, we propose a novel method, namely bag-of-words decoding, to evaluate n-gram language models in phrase-based statistical machine translation. As compared...
On basis of analyze history and status of software engineering education, this paper establishes a software engineering knowledge system based on knowledge topic. The knowledge system has knowledge areas of computing essentials, software construction technologies, software process practice, software requirement and modeling, software design, software testing, and software management, etc. It is a...
Ant colony algorithm is a new algorithm of heuristic bionic calculation. Now, it has been widely applied in many fields of combinatorial optimization. This paper elaborates the basic principle and mathematical model of typical ant colony algorithm for solving the traveling salesman problem, and analyzes impact of the optimal parameters to the performance of algorithm. Based on its shortages, an improved...
ER model is widely used in database application and data management respects. Aiming at the problems of inaccuracy and fuzzy, which are not conducive to refinement and validation of the system, this paper proposed a proposal to simplify the logic description of ER model, based on analyzing the benefit of description logic. The method which used OWL ontology language to express the semantic method...
The algorithm of locally adaptive clustering for high dimensional data (LAC) processes soft subspace clustering by local weightings of features. To solve the localization of LAC in specifying the number of clusters, this paper reworks the validity index for fuzzy clustering to evaluate the clustering results of LAC. Compared with real clustered data, the method is proved feasible. In the new algorithm,...
Considered the existing situation, in this paper an improved algorithm based on greedy strategies for the rectangles packing problem is proposed. The results have shown that the improved algorithm is more simply implemented and especially effective for improving probability of the recycle of large sheets of material's remainder.
Different to traditional vehicle positioning and navigation systems, requirements of positioning operations for individuals are always contingently, and it pays more attention to making navigation devices portable and easy to use. Based on GPS and GSM, a novel positioning and monitoring system for outdoor special users called Mobile guardian is presented in this paper. Through analyzing the structure...
Combined with the technology of PDA and WLAN, and in view of limitations of wired networking in current hospital nursing workstations, this paper designs and implements a mobile nursing information system based on B/S taking PDA as its running platform. This system is a natural extension of the existing HIS, which takes patients as its center. And its application can optimize the work flow of clinical...
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