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In recent decades, experts have presented a range of teaching methods and techniques which should increase the learning effectiveness. Naturally, no learning process is universal and reliable at the same time, and suitable for everyone and in every situation. Concept mapping is a method based on findings in cognitive psychology. We investigated how the learning process and effectiveness can be influenced...
In several biomedical applications that require the signal processing of biological data, the starting procedure for noise reduction is the ensemble averaging of multiple repeated acquisitions (trials). This method is based on the assumption that each trial is composed of two additive components: (i) a time-locked activity related to some sensitive/stimulation phenomenon (ERA, Event Related Activity...
Aiming at the particularity of MRI images, the ARC algorithm which is suitable for medical image processing is present. The new method introduces the bi-support association rules based on FP-tree. In the process of generating the rule of association class and constructing the FP-tree, the maximum support is introduced on the premise of minimal support. It can make the support of discovered rules be...
In rotating machinery equipment, bearing is one of the most common parts. Because of the complex working conditions, the bearing system is subject to get failure. The running state of bearing system, which is normal or not, will directly affect the safety of the production line, or even cause some accidents. Therefore, the technology of fault diagnosis of rolling bearing has important theoretical...
Original sequential pattern mining model only considers occurrence frequentness of sequential patterns, disregards their occurrence periodicity. We propose the asynchronous periodic sequential pattern mining model to discover the sequential patterns which are not only occurring frequently, but also appearing periodically. For this mining model, we propose a pattern-growth mining algorithm to mine...
Under the wireless communication network environment, the received signal will be effected by noise and interference. And it will produce many inaccurate codes consequentially. Under this situation, the error bits in the binary data after demodulating and decoding will affect the formats extraction of the unknown protocols. In order to improve the accuracy under the noise interference and the adaptability...
The accuracy of traditional model-based fault detection of coal mine water level sensor is easily influenced by modeling errors and disturbances of complex mine environment, which cause underreporting or false alarms. In order to solve the problem, this paper presents a fault detection method of principal component cluster analysis for the coal mine water level sensor. The method gets the sample set...
Rough Set Theory was used for data mining based on the characteristic database and can form a knowledge database for hailstone recognition to establish a single model for hailstone forecast. Thus the comprehensive hailstone forecasting model was formed. Firstly the rules discovered from Apriori algorithm were used to eliminate the interference, Secondly the integrated knowledge database was formed...
Currently, since the robustness and anti-interfernce performance of mining method of vehicle failure are weak, the accuracy of failure mining is low. To solve the problem, this paper put forward a new mining technology of vehicle failure based on resisting the interference from the exterior. Through accurately building vehicle model, establishing search model of vehicle characteristic point, dealing...
It is difficult to distill vector data from thematic map automatically and accurately because of disturb information. Therefore, an algorithm named Neighborhood Filling is discussed here to separate disturb information from thematic map. On the basis of distinction between disturb information and the interference background information. Set some background information on the priority. Use principle...
It is a frequently encountered problem to calculate the area of target region in image processing. Based on an improved algorithm of contour extracting, a method for calculating the area of target region was advanced. First, the contour is extracted from the binary image, while note the location and type information of the contour points. Next, the area of target region is calculated by weighting...
Text-based tools, such as instant messaging, forums or blogs enable online collaboration in communities all over the world. Data sources that are more conversational in nature tend to have a typical, time-driven structure that existing text analyzing tools don't take into consideration. In this paper we propose a toolkit for information extraction from chat sessions. The system is optimized for conversational...
Newspapers, no different from other copyrighted works, are protected by the copyright laws. However, as the duplication itself is technically executable without any license agreement, in cases where users are ignorant of the copyright laws or have no intent to honor them, copies of newspapers end up to be illegally produced. In this paper, we report experiments for applying digital watermarking to...
Channel assignment is the key problem in the research of the next-generation wireless mesh networks (WMN) in which each node may be equipped with multiple radio interfaces, each capable of running in one of several modes and one of several channels. Recent research indicates that the use of channel assignment technology could reduce the interference and increase the throughout of WMN effectively....
This paper analyzes characteristics of chaos and game in large-scale project teams, utilizes a trait that participants lean to seek collective rationality and establish a partnership with a certain incentive and constraint from the perspective of the project manager, structures a chaos game model of internal knowledge learning in large-scale project teams and gives some constructive comments to control...
This paper addresses the problem of priority assignment in multiprocessor real-time systems using global fixed task-priority pre-emptive scheduling. In this paper, we prove that Audsley's Optimal Priority Assignment (OPA) algorithm, originally devised for uniprocessor scheduling, is applicable to the multiprocessor case, provided that three conditions hold with respect to the schedulability tests...
This paper presents a classification of widely studied approaches that focus interaction analysis and composition of multiple aspect(s) in aspect-oriented programs (AOP). It is evident that AOP has an ability to distort semantics of base-programs and aspects themselves due to advice-method or advice-advice interactions in terms of control flow and data sharing features. Thus, it entails a comprehensive...
In this paper, we are interested in using large-deviations theory to characterize the asymptotic decay-rate of the queue-overflow probability for distributed wireless scheduling algorithms, as the overflow threshold approaches infinity. We consider ad-hoc wireless networks where each link interferes with a given set of other links, and we focus on a distributed scheduling algorithm called Q-SCHED,...
The multi-band orthogonal frequency division multiplexing (MB-OFDM) is an ultra wideband (UWB) technology that can transmit information at the maximum data rate of 480 Mb/s. When the simultaneous operating piconets (SOP) are located closely, the symbol collisions are expected to occur among the symbols transmitted over the same sub-band at the same time. This interference will decrease throughputs...
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