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Engine testing technology has made great development and gathering the engine data of failure becomes more and more easily. The engine fault recognition method based on data driving has made rapid development. The support vector machine (SVM) is currently a well-known machine learning technique. It has been applied to deal with range of fault recognition problems due to its unique advantages. There...
This paper puts forward a model of path fault recovery of MPLS VPN, which is DR-PFR (Double Recovery-Path Fault Recovery), for the failure on the path of MPLS VPN. DR-PFR can solve the failures in both the working path and the backup path. Experiments show that under the condition of using the resources effectively, when the network fails, DR-PFR can enable the network recover timely and effectively...
This paper taking Mudanjiang in Heilongjiang Province as the study region, the remote sensing data and topographic map data in forth years as a basis for data, the vulnerability model was evaluated based on the sensitivity, exposure and adaption ability, relevant parameters of model was acquired by GIS and RS technology and mathematic model, and the vulnerability of ecological environment was in a...
Nowadays, cost reduction has become one of the major profit sources for telecom operators, so how to realize profit maximization has always been a focused issue. Given that the customers have different communication demands at busy times and idle times, taking profit maximization as the goal, this paper first establishes a model based on the full load theory in economic to simulate the operation of...
Rapid urbanization has posed a considerable impact on the earth such as environment deterioration and resources degradation. Effectively predicting and evaluating the development trend of urban coordinated degree are key issues for urban sustainable development. In the paper, Important impact factors of coordinated development degree are obtained from grey relational analysis (GRA), and a Radial Basis...
In this paper, we propose an approach for generating three dimension (3D) models of trees base on fractal idea that has the benefit of offering automatically and interactively modeling. The approach can generate 3D geometry tree using botanical knowledge and the fractals, can automatically generate photorealistic tree in real-time, also provides the capability for the user to control shape of the...
This paper proposes a systematic error model for two type of structures of MEMS close-loop capacitive accelerometers, targeted to be used in micro inertial measurement unit (MIMU). The proposed model for the accelerometer's systematic errors includes common physical parameters used to rate an accelerometer: bias, scale factor, cross-axis sensitivity and misalignment. Dynamic analysis based on the...
Credit Risk Identification in small and medium enterprises(SMEs) is a real problem which is necessary to be solved in financial sector. Focusing on 32 small and medium enterprises which had bank loan, dimension of six indicators used to judge whether enterprises had credit risk was reduced to simplify model by adopting the factor analysis method. Then small sample data was trained and simulated in...
The aim of this study is based on GM(0,N) model to evaluate the biochemical factors in preterm neonates, include growth hormone (GH), insulin-like growth factors (IGFs), IGF-binding proteins (IGFBPs) and leptin, the proteins known to be involved in the regulation of growth. And find the influence for each factor corresponding with the body mass index(BMI) and postnatal growth(PI). First, we use the...
Requirement analysis is a critical but difficult part of software development. With the combination of various requirement analysis methods and practice, a method which carries out requirement analysis through nine steps is proposed. The establishment of three models, business model, preliminary data model and functional model, is the focus of the establishment of a target system. Such method has...
In the prediction research, the main purpose is to minimize the prediction error; however, the goals cannot be fulfilled completely. Even we choose GM(1,1) model, we also need to minimize the prediction error. Hence, in this paper, we first focus on the influence parameter alpha in GM(1,1) model, then, analyze the characteristics of alpha step by step. Second, we give up the alpha = 0.5 method, and...
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