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Support Vector Machine (SVM) is applied to the modern educational measurement's diagnostic classification of 0,1 scoring test, and then comparisons of the classification results with some of the typical cognitive diagnostic classification are made. The results show that using SVM to cognitive diagnostic classification, which only needs a small sample for training, can ensure a high correct classification...
The positioning of brand benefit is the traditional compulsory subject of entering market. This paper, breaking through and extending the traditional positioning thought, combining present market characteristics, enclosing emotion value, discuss the emotion of the decision motive, brand, function and service which are emerged in the course of positioning of brand benefit by using factor analysis and...
Traditional test only provides a total score and computer adaptive test (CAT) not only provides examinee's score but also estimates examinee's ability. However, both two methods have not studied students' knowledge states. Cognitive diagnostic assessment (CDA) is designed to measure specific knowledge structures and processing skills in students so as to provide information about their cognitive strengths...
This article highlights the Nanchang University, Chang-Da on the 1st series and parallel using a group of 3.3V Li-ion battery boxes made of 288V, to a three-phase brushless DC motor to drive, and by TMS320LF2407A DSP to control the PWM output, and then adopted by the IGBT device composed of three-phase full-bridge circuit to drive the brushless DC motor speed, thus ensuring the motor speed control...
Most of questions have the uncertainty and the illegibility. Taking account of the insufficiency of two value logic neuron, the paper puts forward three-valued logic neural network, based on the multiple correlation analysis, which have been successfully used in the bank risk assessment. The paper, firstly has constructed the multiple correlation model. Secondly, puts forward the three-valued logic...
A novel quasi-filled function approach is proposed in this paper for a constrained global minimization problem. Firstly, the definition of quasi-filled function is given, a quasi-filled function is constructed, and then a quasi-filled function algorithm is proposed. The constructed function contains two parameters and they can be easily adjusted during implementation of the quasi-filled function algorithm...
The generalized Lorenz system contains a class of three-dimensional autonomous quadratic chaotic systems, which include Lorenz system, Chen system, Lü system and unified chaotic system. In this paper, an adaptive controller for the synchronization of two generalized Lorenz systems is designed by utilizing Lyapunov method, in that the parameters of the drive system are unknown and different from those...
Along with the development of grid computing and cloud computing, finite computing resources supplied by stand-alone server usually become the bottleneck in the process of system implementation of online trading platform. Moreover, It is difficult to reuse algorithm module and the system also becomes more complicated to achieve. Traditional online trading framework can not preferably solve the problem...
Full-text retrieval is a very popular technology in recent information search area. Lucene is an open-source full-text search engine toolkit, and has excellent system architecture and wide application foreground. Based on paper duplicate detection system research, we introduce Lucene theory and analyze two pivotal work steps of Lucene which are index creation module and index search module. We describe...
The fault reasoning and diagnosis are carried out by means of analysis on the contents of CO, HC, CO2 and O2 in the exhaust gas discharged from gasoline engine. The support vector machine is applied to fault diagnosis of the exhaust gas discharged from gasoline engine. Taken the fault data recorded the exhaust gas discharged from gasoline engine as the sample sets, part of the fault data of the exhaust...
Recognizing the transportation modes of people's daily living is an important research issue in the pervasive computing. Prior research in this field mainly uses Global Positioning System (GPS), Global System for Mobile Communications (GSM) or their combination with accelerometer to recognize transportation modes, such as walking, driving, etc. In this paper, we will introduce transportation mode...
Shanian oilfield is constituted by a number of complex fault-blocks, after nearly 10 years of waterflooding development, the relation between oil and water underground reservoirs is complex. In this case, it is difficult to predict accurately the distribution of inter-well reservoir parameters and the rich region of residual oil. Thus it is an emphasis to build a fine reservoir model, as available...
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