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The paper set up the Causal Relationship model of medical service pricing to analyze dynamic equilibrium between various factors based on analyzing the pricing process. Furthermore, this paper established the mathematic model of medical service pricing based on government and hospitals co-decision. Finally, the paper built the simulation model of medical service pricing based on the theory of System...
The research on regulatory networks is one of the most important themes of bioinformatics. Different kinds of modeling make it possible to analyze the dynamics of system. Nevertheless initial model is probably incomplete, which may have great influence on the dynamics. Therefore, it is important to develop completion approaches for different models. In this paper, two models are presented: Thomas'...
This paper proposes a med-long term runoff forecasting model based on the principal component analysis (PCA) and the improved BP Neural Network. PCA was utilized to eliminate the relevance between input data, reducing input dimension and effectively reducing the model's structural complexity, improving the model's learning efficiency and forecast performance. The proposed model was predicted and verified...
Researches have revealed the deep impact of class environment on student learning outcomes and proposed a serial of methods for survey and taxonomy. But these efforts suffer from two issues: (1) They emphasize the holistic measurement and evaluation of class environment, but ignore the individual effects in the class. (2) They do not consider interpersonal behaviors among the students and teachers...
In order to make the service composition with lower consumption resource and reduce execution time of service composition process, this paper proposes a method to optimize service composition model based on analysis of service composition execution log information and optimization of its Petri net model, which includes three steps: firstly, the log information and extracting related data are collected;...
Automobile bumper and energy-absorbing box are the most important parts for automobile passive safety and play an important role in the safety of automobile crash. In order to improve car crash safety and reduce fuel consumption of vehicle, in this study we analyze the deformation and endoergic process of energy-absorbing box during the collision based on the software ANSYS/LS-DYNA. Taking automobile...
Based on the analysis of value chain, industry chain and stakeholders about the video service website, by building the profit pattern model, this paper analyzed the profit model of the existing main video websites. The video sites need to do something from the following aspects for profit: first, they should optimize the structure of profit model; secondly, they should extend the value chain and increase...
Software testing process is an important factor affecting the quality of software testing, which plays an important role in the entire software development life cycle. In order to achieve a precise result of testing, different software testing process model will be chosen in different software development process for testing. Traditional testing process model will be chosen in traditional software...
There are some limitations when analyzing and studying Internetware by using traditional software reliability theory and method which is not adaptive to the open, dynamic and changeable network environment. Based on the basic principle, the characteristics and the analysis of Internetware, the theory and the technology of Internetware reliability are innovated and developed. The research status, the...
To identify crosscutting concerns in the requirement phase, this paper proposes a method for discovering crosscutting concerns based on goal model and two-state algorithm. We analyze each phenomena of goal model and summarize the identification rules. Crosscutting concerns are identified by calculating the scatter and centralization values of goals. The method includes four steps: building the goal...
Although the genomics data are accumulated in an exponential growth, the molecular complexity of cancer is still hard to understand. The most remarkable characteristics of the genomic data are severely high-dimensional features with a small number of samples, such as gene expression data. The traditional data mining method has a limited ability to process these asymmetry datasets. In order to select...
BBS is an important channel of public opinion spreading, so establishing model to analyze public opinion spreading characteristics will naturally become the primary goal of public opinion control. This paper analyzes the application of Social Network Analysis and sentiment classification in the research of BBS public opinion spreading, builds user reply relation network with real data base on the...
There are some poor accuracy problems of grain yield prediction. GM (1, 1) prediction model and ARIMA (1,1,1) prediction model were established according to Jilin Province 1998–2011 grain yield data. In the same training sample, 2 kinds of methods were used to forecast grain yield. The average error is 7.88% and 12.32%, the average precision accuracy is 92.12% and 87.68% respectively. The test results...
In the processing of source retrieval in plagiarism detection, rationale for keywords extraction is to select only those phrases or words which maximize the chance of retrieving source documents matching the suspicious document. TF-IDF (term frequency-inverse document frequency), weighted TF-IDF (the weighted term frequency-inverse document frequency, namely, the TF-IDF of a term with a different...
VSC-Multi-Terminal Direct Current (VSC-MTDC) system is much more controllable and economic. In this paper, at the beginning, the paper introduces the connection mode of VSC-MTDC system, then the design of VSC-MTDC system controller is studied, in which a new multi-point constant DC voltage control method is proposed, and the effectiveness of this control method is validated by the analysis of theory...
The essence of intelligent interaction space is that humans employ resources to complete tasks. This paper firstly established the three element models of intelligent space, and put forward two key obstacles to the development of interaction technology, including the cognitive gap between tasks and resources, and the cognitive burden between users and resources. Then task analysis and ability matching...
In this paper, the forwarding objective and the mobility law of nodes in opportunistic networks are investigated to establish a mathematical model for further analysis, and then a new data forwarding algorithm is proposed. In this algorithm, according to the distance between the data holders and the destination, some intermediate nodes are selected to relay the data. Especially, the forwarding copies...
With rapid development of microblog, more and more people are going to use microblog to transmit information and express their opinions. Therefore, predicting and monitoring the online hot-event tendency has become a significant support for our national security and development of society. Traditional prediction model tends to have a non-liner and unstable performance in time series. As a result,...
This paper focuses on applying a fourth-order cumulant with spatial smoothing to direction of arrival (DOA) estimation of coherent signals based on a uniform circular array (UCA). We use three types of cumulant matrices in the so-called mode space with spatial smoothing to handle this problem. The DOA estimation performance comparisons of these cumulant matrices with spatial smoothing are shown by...
Point cloud model has received more and more attention from researchers in the field of computer graphics. This paper presents a new method to embed watermark into a 3D point cloud model using distance normalization modulation. Embed watermarking bits into a model by modulating the mean value of the distance normalization in each bin. In order to make our algorithm achieve a better robustness, two...
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