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Recently, with the obvious increasing number of cardiovascular disease, the automatic classification research of Electrocardiogram signals (ECG) has been playing a significantly important part in the clinical diagnosis of cardiovascular disease. In this paper, a 1D convolution neural network (CNN) based method is proposed to classify ECG signals. The proposed CNN model consists of five layers in addition...
Urban scene modeling is a promising research subject, for it plays an important role in the areas of national defense, transportation, urban planning, and entertainment industries. Researchers have been looking forward to the breakthroughs in improving the level of photorealism and the performance. This paper discusses the implementation of the simulation of certain parts of city scene. We use the...
In order to study the thermal energy in the process of fuse melting, data analysis is conducted on the time/current curve provided by the manufacturer. Data analysis methodologies, such as sampling, variance analyze and residual sum of squares analyze, are performed in this process. These methods provide us the most optimal equation to describe the relationship between time, different level of fault...
As the tremendous momentum cloud computing has grown, the modern data center networks are facing challenge to handle the increasing traffic demand among virtual machines (VMs). Simply adding more switches and links may increase network capacity but at the same time increase the complexity and infrastructure cost. Thus, intelligent VM placement has been proposed to reduce the intra-DC traffic. Prior...
In this paper, a practical prognostics tool is given to better realize effective condition-based maintenance. First, a brief overview of prognostics techniques is provided. Accordingly, a prediction model combining fuzzy sets and Markov Chain is proposed for equipment performance degradation. This model can improve these traditional state division methods based on personal subjective experience, and...
Tracking trajectory of three-dimensional trees is a difficult problem in computer animation and virtual reality. It requires not only high sense of reality for the morphology of trees and tree moving, but also adequate real-time. In this paper, we present a simulation method based on video data driven. Firstly, split out the main branches and leaves of trees from video images by using hybrid method...
This paper is concerned with the theory and method of information retrieval for solving mass literature retrieval. The corresponding retrieval method for mass literature with the feature of huge capacity, rapid responding time limit is designed and the implementing process and relating algorithm is illustrated as well.
Plants are hard to simulate in a realistic way because of their complexity. In this paper, we design and develop an interactive plant simulation system with OpenGL as the graphics interface and MFC as the framework. Our system aims to create an easy-used platform to design and layout plant conveniently. The system uses digital elevation model (DEM) to create terrain. It applies parametric and self-similar...
Taking Wudaogou Station as the experimental basis, Geostatisics combined with ArcGIS was applied to analyze agricultural non-point sources (AGNPS) pollution characters caused by spatial variability of nitrogen and phosphorus in agricultural soil. A field sampling scheme and structure are to carried out for three different scale watersheds by combining random sampling and systematic sampling method...
RFID finds wide-ranging applications in many fields. When customers decide to implement a RFID application,they are possibly confused with some technical problems while allocating tags and readers to satisfy their business requirements. Due to the environment complexity, a general RFID deployment strategy is inapplicable that means the customers must create their own specific one. A simulator for...
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