Papers by Keyword: Classify

Abstract: Due to the growing demand for fitness ball in current domestic market, and the demand for different size ball is also on the rise. In this paper, a kind of fitness testing institution has been proposed in this paper. The preliminary design and modeling of the agency were conducted in the Solidworks. In order to validate the correctness of the model design, the motion simulation was proceed by the Adamas. From the data obtained by the simulation, we can know the functions of the machine, which can provide data support for the subsequent design.

Abstract: According to disposal situation of municipal solid waste (MSW) in China, the method of video capture was used to identify MSW, and classify the recyclable waste and non-recyclable waste. Verifying experiments were carried on by Plastic bottles in MWS. The results showed that, proposed method can identify MSW accurately.

Abstract: Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.

Abstract: Effective use of the color feature of Content Based Image Retrieval (CBIR) and Image classification is an important basic research, but there are some shortcomings in the color histogram representation method, such as high dimension, pixels spatial information is ignored and so on. Although color feature data can reduce the dimension by quantification, but some useful image color information will be discard. In this paper, the image color information processing in space constrained fuzzy clustering to obtain a lower dimensional color feature data of the image characteristics of domain colors description, and use multi-class support vector machine to classify color images. Experimental results show that the proposed method can better describe image color information than color histogram; image domain color description combined with support vector machine model can achieve the automatic classification of images effectively.

Abstract: Considering the fact that business processes are becoming more and more customer-oriented, marketing and connecting top management to the customers are extremely important, which should be given a special attention, taking into account the globalization and the increasing market competition. Due to the exponential growth of data volume, in any field, it was necessary to use and develop new methods and techniques for discovering hidden information in data, information almost impossible to be detected by traditional means, based on human analysis skills. This paper presents a pre-processing method for mining data in order to support decision makers in developing coherent and saleable strategies as regards the customers, based on their classification in different categories, specific to the area of concern, for the purpose of improving the CRM systems. In order to facilitate analysis and decision making by top management, the analyzed results are presented - in graphic format-using the facilities provided by Google API integrated in the application created with Open Source technologies.

Abstract: A classification method for underwater echo is introduced, which based on fractal theory and learning vector quantization (LVQ) neural network. The fractal dimension was extracted from the underwater echo by continuous wavelet transform. Combining with accumulative energy as input of a LVQ neural network, neural network was used to classify four kinds of underwater echo. The experimental results showed this method is effective and reliable.

Abstract: It is very important to assess the fire-fighting safety in city zone. That is the base of programming and arranging the city fire scientifically. According to the definition about the target of fire management in “The latest Fire-fighting Law”, this paper first proposed the method to classify it, determined the parts in the city zone fire-safety system, and determined the weight of each criterion by Analytic Hierarchy Process method. Secondly, it studied the model of city zone fire-safety assessment through the theory of fuzzy mathematics, and made some research and calculation on city zone fire-safety evaluation. Finally, it evaluated the condition of zone fire-safety in Xuan Wu Area in Beijing according to the model we have designed. The results showed that the methods we proposed and the calculations we have had were efficacious.

Abstract: To speed the domestic research on double pulse motor,and specify the research direction,analyzed the pulse separation device (PSD) of external double pulse motors,classified them according to certain characteristics,expounded research status of domestic double pulse motor,pointed out problems in the study.With the future needs of the missile force,proposed suggestions of future development for domestic research on double pulse motor,and specified the research direction of it.