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Car plate recognition is a very important issue in many traffic related applications, and the enhancement process of car plate image is the key step at the very beginning. Its effect relates to the efficiency and precision of car plate localization and recognition directly. This paper brings forward a new car plate image enhancement method based on a simplified PCNN with the parameters determined...
Effective management of a supply chain requires the ability to detect unexpected variations at an early stage, which brings the possibility of taking preventive decisions to mitigate the variations. This paper proposes a methodology that monitors the dynamic trends of supply chain performance indicators, and gives early-warnings for potential risks. Initially, a supply chain model is built using system...
Spatial information service plays an important role in E-Government, but different models differ most in various applications of decision-making support activities. Therefore, how to evaluate the applicability of spatial application model is the key problem for the usage of spatial models in E-Government application. In this paper an evaluating model has been proposed to solve this problem. Based...
Clinical pathways are widely adopted by many large hospitals around the world in order to provide high-quality patient treatment and reduce the length and cost of hospital stay. However, nowadays most of them are static and non-personalized. Our objective is to capture and represent clinical pathway using organizational semiotics method including Semantic Analysis which determines semantic units in...
The rapid evolutions of software environment and business requirements place a high demand on the adaptiveness of enterprise information systems (EIS). Over the last few years, more and more EIS adopted the distributed multi-tiered Web-based application architecture. Crosscutting concerns and clone codes make the web-based EIS difficult to evolve and maintain. The traditional model-view-controller...
Object-oriented framework is increasingly recognized as an efficient reuse mechanism in software development, but for its intrinsic abstract and complex, it is still difficult to develop for framework designer and instantiate for framework user, this is partly due to the lack of formal framework modeling language guiding the framework developer, user and tool builder. We propose a formal way to model...
An event-driven model for manufacturing execution system platform is introduced. Response mechanism based on event-driven inside platform is described, and event models are designed, which include two sub-modules as event configuration and event detection. At last, design and development method of event model is given to show the validity and practicability of the event-driven mechanism.
The paper proposes an organization model hosted in the LDAP directory server. And it expands the scope of model utilization, gives the technical method which is capable of dealing with the heterogeneity, distribution of the organization model, and the transparency of the model to its users. Then the role-based access control (RBAC) technology has been used in the model to implement the control of...
In the trust model for P2P network, to get the accurate value of global trust is becoming difficult because of the complex of net environment and the dishonest peers. This article proposed the computation method for the value of globe trust based on the MAX-MIN ant system. Through this advanced ant colony algorithm, search several recommendation paths to compute the best global trust valuation from...
A novel algorithm of three-layer probability model based on synchronous detection lines is proposed to solve the problems of background updating and target tracking. Firstly, the state of each pixel point on the same synchronous detection line is judged in the probability model of pixel points. Secondly, the state of each synchronous detection line is estimated by maximum likelihood estimation so...
This paper presents a new method for segmentation of synthetic aperture radar (SAR) images. Based on a non-parametric Bayesian infinite mixture model, Dirichlet process mixture model cluster method is proposed to segment SAR image. The traditional finite mixture model segmentation method is adapted extensively in SAR image segmentation, but the performance and the robustness is not good enough. However,...
The integration of the spatial dimension into RBAC-based models has been the hot topic as a consequence of the growing relevance of geo-spatial information in advanced GIS and mobile applications. Dynamically monitoring the state changes of an underlying system, detecting and reacting to changes without delay are crucial for the success of any access control enforcement mechanism. Thus, current systems...
To discriminate the quality on traditional Chinese medicines Eucommia Bark real-time, according to the characters of Eucommia Bark finger printer, the basic concepts of rough set are introduced briefly. For rough sets can only deal with discrete data, the discretization of data is the key factor in the rough sets applied in quality assessment, we present a method of discretization based on cluster...
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