Advanced Materials Research
Vol. 135
Vol. 135
Advanced Materials Research
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Vols. 133-134
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Vols. 126-128
Advanced Materials Research
Vols. 123-125
Vols. 123-125
Advanced Materials Research
Vols. 121-122
Vols. 121-122
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Advanced Materials Research
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Advanced Materials Research Vols. 121-122
Paper Title Page
Abstract: The watershed algorithm has been widely used in image segmentation for its characteristics of accurately positioning edge, simple operation and etc. But it also has drawbacks of easy to over-segmentation and loss important outline for the character of sensitive to noise. Aiming at the problem of over-segmentation of watershed algorithm, the paper brought out an improved image segmentation algorithm based on watershed, which can limit the number of existing regions that are allowed with combination pre-processing steps, so that the over-segmentation problem can be better solved. The result of experiment also verifies the correctness and feasibility of the proposed algorithm in the paper.
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Abstract: The basic algorithm for the parallel FFT is briefly introduced, combined with the recent years of
the parallel algorithm research results, analysis of a image processing model based on practical parallel
algorithm.
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Abstract: The paper proposed a novel methods in order to solve the congestion and routing
oscillation, which based on crossover and mutation of the ant colony algorithm to achieve dynamic
QoS routing realization. The algorithm expanded the scope of the search path selection adaptively
adjust the strategy and the amount of information to determine the probability of renewal strategy,
which can better adapt to dynamic network environment, you can make the shortest possible path of
choice to meet the real-time applications, while avoiding link load is heavy, maintaining the
distribution of network load balance. The simulation results show that the routing algorithm has better
convergence speed and stability, which can more effectively address congestion and routing
oscillation, its performance compared with traditional methods have been noticeably elevated,
indicating it has a better multimedia network environment flexibility.
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Abstract: Integrating and querying data from heterogeneous sources is a hot research topic in database research field. The emergence of the Semantic Web brings new paradigm shift of computing in data integration research where data is heterogeneous and distributed. To solve the problem this paper proposes a semantic-based approach. A Semantic-based Heterogeneous Relational Data Integration System, called SHRDIS, is presented. In this system, ontology is used as the mediated schema for the representation of the data source semantics. SPARQL queries over global schema are rewritten into local SQL queries that can be executed on heterogeneous relational databases. The architecture and implementation of SHRDIS is illustrated in detail. The experiment results show that the SHRDIS system has nice performance and scalability.
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Abstract: At present, with the popularization of higher education and acceleration of college students every year, colleges and universities are increasing scale. Expansion of the scale for colleges and universities on the one hand, broadens the scope for development, on the other hand it also brings many problems, including the issue of the quality of teaching which is particularly prominent. Owing to the problems existing in the previous system of teaching quality, based on the teaching characteristics, a new multivariate teaching quality evaluation model is set up by means of GM(1,N) theory. And the application processes of the model are illuminated in detail. The model is applied into the evaluation of teaching quality. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect than other appraisal model, which can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.
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Abstract: One century ago (1910), the Hungarian mathematician Alfred Haar introduced the simplest wavelets
in approximation theory, which are now known as the Haar wavelets. This type of wavelets can effectively be
used to fit data in statistical applications. It is well known that for a general regression model, it is not easy
to write estimations of its parameters in analytical forms. However, regression models generated from the
Haar wavelets are easy to compute. In this article, we introduce how to use the Haar wavelets to formulate
regression models and to fit data. In addition, we mention some variations of the Haar wavelets and their
possible applications.
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Abstract: Over the past few years, face recognition has been actively studied. Some classic methods of face recognition are introduced in this paper. At first, we give an overview of face recognition and its applications. Then, we will present some classic techniques of face recognition. A brief overview of ORL face database which is usually used to test the performance of these methods is given. At last, we will give a summary of the research results.
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Abstract: The 3D model of mine transforms into various 2D views with hidden line removal technique, and outputs these 2D views as the standard engineering drawings to guide the production and construction of mine. Due to the complexity and specificity of mine environment, those 2D views that the general blanking algorithms generated have a lot of uncertainties, so they don’t meet the requirements of practical application. In order to meet the requirements of mining applications, according to the characteristics of mine environment, the paper designs and implements a hidden line removal algorithm, and applies it to 2D views automatic generations of digital mine, both the blanking result and accuracy satisfy the requirements of mining applications.
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Abstract: The paper researched the screening model in enterprise competitive intelligence activity based on game theory. It studied the service provider’s decision in competitive intelligence(CI) project and proved it could be satisfied with Bayesian Nash equilibrium. It also revealed the heterogeneity between the service providers through a signaling game model in which signal set was the combine of CI quality standard term. The result shows that a quality standard about CI should be designed in contract which provides a signal for service provider to self-certify its own true type and is in favor of screening for enterprise.
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Abstract: The digital evaluation indexes of production management in mine can only be obtained from statistics and analysis of producing information, it can help high-level manager find problems existed in production system and make adjustment. Base on the requirement analysis of the Barun Mine Company production control information system, developed a C/S model of the system management system, which has been applied in the mine production.
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