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In this paper, we propose a novel framework of large-scale and real-time image annotation system. The large-scale image set is constructed based on current Web image search engines and re-ranking algorithm. Various global and local features are employed for representing images with parallel extraction mechanism for the real-time requirements. At training stage, the distance between class centers in...
This thesis takes three approaches in strategic sense respectively: Call, put and hold. First of all, it collects daily information and relevant factors which could influence the stock price one day ahead of the actual trading for China Steel stocks. These factors include aspects in the stockpsilas fundamental, share volume, technical performance in addition to Dow Jones average plus processing these...
With simple architecture and faster speed, linear feedback shift register often is selected to produce random number in many applications. However, the random number generated by LFSR cannot meet the demand of unpredictability for secure mechanism. The nonlinearity of genetic algorithm can be used to improve the property of LFSR. We present a novel random number generator by using genetic algorithm...
Partial discharge (PD) gray intensity image is regarded as the research object in this paper, a new principle and method based on genetic programming is proposed to extract PD features aiming at PRPD mode, This article firstly introduces the PRPD mode and the method to get the three-dimensional spectrum and two-dimensional gray intensity image, then gray intensity images identification technology...
The advance of image capture device and the popularity of the Internet have made the World Wide Web the biggest and most diverse repository of images. How to retrieve images fast and accurately from the WWW has become an urgent problem to be solved. Although many commercial Web image search engine has come forth, the precision is not satisfying for the reason that the text in the pages which they...
The aim of this paper is to solve the portfolio problem when security returns are bifuzzy variables. Two types of portfolio selections based on chance measure are provided according to bifuzzy theory. Since the proposed optimization problems are difficult to solve by traditional methods, A hybrid intelligent algorithm by integrating bifuzzy simulation and genetic algorithm is designed. Finally, one...
Methods of artificial intelligence have been widely used in the study of investment related topics, and the methods adopted include genetic algorithm and neural network, etc. However, as different to the methods taken in the past, support vector machine is adopted in this article to perform investment strategy study for domestic stock market; investment strategy can be divided into three strategies...
Service Oriented Architectures enable a multitude of Web services to provide loosely coupled and interoperable services at different Quality of Service level in the recent few years. This paper presents a framework to facilitate dynamic service composition, selection and adaptation of QoS-aware Web services. Considering both functional and QoS characteristics of Web services, this framework intends...
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