The extraction of semantic contexts is a relevant issue in information retrieval to provide high quality query results. This paper introduces the semantic context underlying a set of given input concepts as defined by...
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The extraction of semantic contexts is a relevant issue in information retrieval to provide high quality query results. This paper introduces the semantic context underlying a set of given input concepts as defined by the relevant multiple explanation paths connecting the input concepts in a collaborative network. A pheromone-like model based on this approach is introduced for the detection and the extraction of multiple paths of explanation between seed concepts. The exploration of the online collaborative network of explanation uses a heuristic driven random walk, based on semantic proximity measures. Random walks distribute pheromone on the traversed arcs used to evaluate the relevance of concepts in the multiple explanatory paths to be extracted. Experimental results obtained on accepted datasets and contexts extracted from the Wikipedia collaborative network show that the proposed algorithm can extract contexts with high relevance degree, which outperforms other methods. The approach has a general applicability and can be extended to other explanation-based online collaborative networks.
Hepatitis C is a major public health problem in the United States and worldwide. Outbreaks of hepatitis C virus (HCV) infections associated with unsafe injection practices, drug diversion, and other exposures to blood...
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Weld seam recognition is the key technique in visual tracking research. Based on the weld image features, the image preprocessing and the linear feature extraction method of the weld seam recognition are designed. The...
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computer-aided detection/diagnosis (CAD) systems are critical for doctors to understand the medical images and to improve the accuracy of detection/diagnosis of various diseases. The goal of this paper is to propose a...
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computer-aided detection/diagnosis (CAD) systems are critical for doctors to understand the medical images and to improve the accuracy of detection/diagnosis of various diseases. The goal of this paper is to propose a classification framework for diagnosing different focal liver diseases based on ultrasound (US) images. Ultrasound medical imaging is one of the most common modality, which is used in diagnostic systems because of its safety and cost effectiveness. In this paper, we introduced a framework for a CAD system to diagnosing three classes of focal liver diseases, which are Cyst, Hemangioma (HEM), and Hepatocellular Carcinoma (HCC). The proposed system begins with a preprocessing step to make enhancement and noise removal of US images using a median filter. The segmentation of the liver lesions regions is done using level set method followed by the fuzzy c-mean clustering algorithm. Finally, we have used a multi-support vector machine (multi-SVM) classifier to diagnosis the classes of the focal liver diseases. By using 10-fold cross validation method, we have got an overall classification accuracy of 96.5%. Our proposed system is compared with some state of the art techniques. The experimental results show that the proposed system gives better overall accuracy than the other tested techniques.
In recent years, with the development of compressive sensing (CS) theory, it has been widely applied to each field including image fusion, and obtained better fusion effect. And CS can reduce dimensions and the amount...
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In polytopic model-based controller synthesis, the vertices of the model determine the achievable performance characteristics. This paper introduces a new concept, that allows for the sophisticated construction of non...
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ISBN:
(纸本)9781509018987
In polytopic model-based controller synthesis, the vertices of the model determine the achievable performance characteristics. This paper introduces a new concept, that allows for the sophisticated construction of non-simplex enclosing polytopes. The non-simplex structures in general, have much better descriptor properties than the simplex one that leads to less conservative synthesis. The paper demonstrates the workflow of controller design for a nonlinear system through the example of the TORA (Translational Oscillator with a Rotational Actuator) system. The numerical results clearly show that the proposed approach is capable of excluding non-stabilizable regions located between the exact convex hull and the enclosing simplex. The non-simplex polytope leads to an increased number of vertices but it practically does not influence the viability of Tensor-Product (TP) formalization and the feasibility of controller design while the achievable control performance can be improved significantly.
The primary objective is to investigate the applicability of spectral methods for designing feedback controllers for a closed loop system with an input shaper with time delays. The shaper is included in the feedback l...
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This paper presents an interface system display which is conceived to improve pilot situation awareness with respect to a flight envelope protection system developed for a mid-sized transport aircraft. The new display...
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The focus in this paper is on active fault diagnosis (AFD) in closed-loop sampleddata systems. Applying the same AFD architecture as for continuous-time systems does not directly result in the same set of closed-loop ...
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