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Active contour models based on the level set method (LSM) are widely used in image segmentation. The major advantages of these models based on an LSM are topological flexibility and evolution robustness. However, topological flexibility is not always needed, and it could bring some negative effects for object extraction, such as extracting noise and non-objects. In this paper, a topological preservation...
Aiming at the tracking control for the underactuated surface ship at open sea, an adaptive robust neural network method was proposed. At present, most researches would consider the underactuated characteristics and parameters uncertainties and environmental disturbance. The controller structure was designed by nonlinear algorithm, thus ensuring the tracking loop system robustness. Proposed adaptive...
In the previous work, we propose a node localization scheme based on three dimensional optimum space step distance in wireless sensor networks (WSNs) which is called 3D-OSSDL for short. By optimizing distances from the network model, the optimum space step distance from nodes to anchors is obtained and the coordinates of unknown nodes are derived finally. In this paper, in order to overcome the defects...
Learner models are of great importance in the construction of intelligent tutoring systems. In this paper, after introducing intelligent tutoring systems and learner models, four kinds of classical learner models called Stereotypes Models, Overlay Models, Buggy Models and Constraint-Based Models and their properties are discussed in detail. Finally, we compare these four kinds of learner models in...
In this paper we propose a trust-based dynamic access control model for cloud computing environment inspired by the GTRBAC model, where the users can validate their legal identities and acquire their access control privileges for the resources according to the role information and the trust-degree in the lightweight certificates. The trust-degree in the certificate can be calculated by the direct...
Pressure and temperature's accurate calculation of the oil-gas multiphase transportation pipeline is the key of the process calculation study, and it has important significance to the production run of pipeline. According to the needs of the engineering application, and based on the data of actual pipeline, this paper amends the key parameters of the pressure drop and temperature drop models, and...
The paper borrowed researching achievements in text retrieval field, describe the semantics of single model by using annotation, and present the semantics of 3D models by using semantic tree, based on the semantic similarity between the retrieval terms and semantic tree nodes with WordNet, and return the model that has strong semantic correlation. A flexible return policy is proposed to filter the...
Entity Data Model (EDM) is a new conceptual model developed by Microsoft; it is a Platform-Independent and executable conceptual model. At present, EDM is mainly used for information integration, so Microsoft has developed the tools for transforming Platform Specific Models, such as Relational Data Model (RDM), to EDM. On other hand, EDM as a conceptual model can also be used for designing database,...
Fuzzy Fisher Criterion(FFC) based clustering method uses the fuzzy Fisher's linear discriminant(FLD) as its clustering objective function and is more robust to noises and outliers than fuzzy c-means clustering(FCM). But FFC can only be used in linear separable dataset. In this paper, a novel fuzzy clustering algorithm, called Kernelized Fuzzy Fisher Criterion(KFFC) based clustering algorithm, is proposed...
As a new branch of multi-models method, Variable Structure Multiple Models (VSMM) approach is a hot topic, which involves target tracking, fault detection, etc. In this paper, it analyzes VSMM method in depth, at first. Then, it introduces three kinds of essential idea of Model Set Adaptive (MSA) being the kernel of VSMM, respectively. In succession, three typical and practical algorithms of VSMM...
Expert finding, the task of identifying experts on a given topic, has received much attention in the last few years. Existing methods try to model the dependencies between the candidate experts and the query terms, which have been proven to be effective. However, to the best of our knowledge, no work has been done on studying the effectiveness of another kind of dependencies, namely the dependencies...
Layout parasitic components can significantly affect the performance of CMOS RF integrated circuits, and can even make a totally different representation from the circuit designed in schematic. This paper proposes a fast approach to identify the layout effect based on S-parameter of on-chip interconnect structures extracted by 3D full-wave EM simulation. In order to confirm the accuracy of modeled...
In grid environments, advance reservation mechanism is to provide reliable resource co-allocation and scheduling for applications. However, excessive advance reservation will bring about many negative effects for system's performance, such as lower resource utilization and higher rejection rate. To mitigate these negative effects of advance reservation, a relaxed reservation strategy is proposed,...
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