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In knowledge discovery, the problem of attributes reduction aims to retain the discriminatory power of original attributes. Many algorithms have been proposed, however, quite often, these methods are computationally time-consuming. To overcome this shortcoming, we introduce two functions, which can be used to improve the process of attribute selection. Based on the proposed functions, a new attributes...
Scientific paper is a key factor representing the degree of discipline development in a city or a country. Based on the database of Web of science we comparatively analyzed the outputs of the scientific papers, indexed by science citation index, between 31 provincial cities of China in 10 disciplines of natural science during 2005-2007. The paper quantities for each city as well as the whole country...
The development of computer science and network technology, and the rapid emergence of e-commerce bring limitless business opportunity to trade company. For the trade company, any consumer-related information is very valuable, but searching for the enormous amount of data restricts the development of e-commerce. The combination of data mining technology with multi-Agent technology can decrease the...
Mobile robots often need to find a trajectory to another position in their environment, subject to constraints posed by obstacles and the robot's capabilities. Several approaches have been used to address this problem each with some limitations, including state discretizations, planning efficiency, and lack of interleaved execution. Anytime RRTs algorithm is a recently developed algorithm on which...
Human identification by recognizing the spontaneous gait recorded in real-world setting is a tough and not yet fully resolved problem in biometrics research. Several issues have contributed to the difficulties of this task. They include various poses, different clothes, moderate to large changes of normal walking manner due to carrying diverse goods when walking, and the uncertainty of the environments...
Coal mine safety evaluation analyses mine's existent dangerous and harmful factors, and judges mine's potential risks. The evaluation result is propitious to guard against accidents and make management decisions. This paper analyses all kinds of influence elements on coal mine safety, constructs evaluation indexes system, measures weights using AHP, and applies dynamic fuzzy theory in mine safety...
The success of health monitoring and condition assessment for power transformer with vibration analysis lies on proper extraction of vibration features. The extraction of features in turn depends on appropriate signal processing methods. In this paper, a WPT and HHT based time-scale-frequency analysis is developed to extract the vibration features from power transformer tank. In this method, the WPT...
This paper proposed a new approach for recognition and matching the human behavior sequence. Each human behavior sequence is represented by its key postures to greatly reduce the computation time. Normalization is applied to all the behavior sequences key postures for matching. A dynamic time warping (DTW) algorithm is used to perform the alignment of two time series. Experiments are carried out on...
Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human...
A parallel belief propagation algorithm for decoding low-density parity-check (LDPC) codes is presented in this paper based on Compute Unified Device Architecture (CUDA). As a new hardware and software architecture for addressing and managing computations, CUDA offers parallel data computing using the highly multithreaded coprocessor driven by very high memory bandwidth GPU. The parallel decoding...
Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture...
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