Liver vessel tree generation is of importance for liver disease diagnosis and surgery plan. In this paper, we propose a method for generation of the liver vessel tree based on skeletonization and graph representation....
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In the clinical practice of diagnosis and treatment of liver disease, how to effectively represent and analyze the vascular structure has been a widely studied topic for a long time. In this paper, we propose a method...
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In this paper, a complete architecture of the software defined radio receiver is proposed. First, a precise definition and the discussion of the problem is given. Next, an outline of the system topology is proposed, t...
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In this paper, a complete architecture of the software defined radio receiver is proposed. First, a precise definition and the discussion of the problem is given. Next, an outline of the system topology is proposed, together with the requirements for each component of the system. Finally, a custom implementation is presented, including specifications, design considerations, and simulations.
We present a closed-form method for the self-calibration of a camera (intrinsic and extrinsic parameters) from at least three images acquired with parallel screw axis motion, i.e. the camera rotates about parallel axe...
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Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and v...
Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and viable exchange of knowledge - a kind of a virtual classroom. Students started to look for experience and a touch to reality online, and this is where remote laboratories come in place. Such laboratories became an inevitable need in electrical and computer engineering courses dealing with microcomputers. This paper presents an overview of available architectures of microcomputer laboratories used today and addresses their most important limitations. Moreover, an important extension of such architecture is proposed allowing support for remote Wireless Sensor Network (WSN) laboratory. Different aspects of compatibility between microcomputer laboratories and WSNs have been examined to allow creation of an general extension model. With additional effort and adaptation, WSN nodes may serve remote clients as an economic and accessible microcomputer laboratory providing invaluable hands-on experience and a motivation for a course using it.
An anti-windup scheme is said to be robustness preserving if it inherits the robustness properties of the corresponding unsaturated loop. It has recently been shown in the literature that anti-windup based on internal...
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An anti-windup scheme is said to be robustness preserving if it inherits the robustness properties of the corresponding unsaturated loop. It has recently been shown in the literature that anti-windup based on internal model control preserves robustness against additive uncertainty. In this paper we illustrate examples where other anti-windup schemes are also robustness preserving. We also demonstrate by counterexample that internal model control need not preserve robustness against multiplicative uncertainty. We consider both single-input single-output and multivariable control loops.
In this paper, applications of the interacting multiple model (IMM) nonlinear filters to ultra-tightly coupled GPS/INS integrated navigation system. An ultra-tight GPS/INS architecture involves the integration of in-p...
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ISBN:
(纸本)9781612844879
In this paper, applications of the interacting multiple model (IMM) nonlinear filters to ultra-tightly coupled GPS/INS integrated navigation system. An ultra-tight GPS/INS architecture involves the integration of in-phase (I) and quadrature (Q) components from the correlator of a GPS receiver with the INS data. The error caused by linearization as in the extended Kalman filter (EKF) can be avoided using the unscented Kalman filter (UKF), which employs a set of sigma points by deterministic sampling, can efficiently deal with the nonlinear problem. The interacting multiple model (IMM) has the configuration that runs in parallel several model-matched state estimation filters, which exchange information (interact) at each sampling time. The use of IMM provides the appropriate value of process noise covariance so as to maintain good estimation accuracy and tracking capability. Performance assessment for EKF/UKF and IMMEKF/IMMUKF is carried out. The results show that the proposed IMMUKF algorithm demonstrates remarkable improvement in navigation estimation accuracy as compared to the conventional approaches.
Protein subcellular localization aims at predicting the location of a protein within a cell using computational methods. Knowledge of subcellular localization of proteins indicates protein functions and helps in ident...
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Protein subcellular localization aims at predicting the location of a protein within a cell using computational methods. Knowledge of subcellular localization of proteins indicates protein functions and helps in identifying drug targets. Prediction of protein subcellular localization is an important but challenging problem, particularly when proteins may simultaneously exist at, or move between, two or more different subcellular location sites. Most of the existing protein subcellular localization methods are only used to deal with the single-location proteins. To better reflect the characteristics of multiplex proteins, we formulate prediction of subcellular localization of multiplex proteins as a multi-label learning problem. We present and compare two multi-label learning approaches, which exploit correlations between labels and leverage label-specific features, respectively, to induce a high quality prediction model. Experimental results on six protein data sets under various organisms show that our described methods achieve significantly higher performance than any of the existing methods. Among the different multi-label learning methods, we find that methods exploiting label correlations performs better than those leveraging label-specific features.
This paper presents several methods for application in CCTV systems in order to support operators' duties. These methods are based on video processing only. In result, the attention of the operator can be attracte...
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This paper presents several methods for application in CCTV systems in order to support operators' duties. These methods are based on video processing only. In result, the attention of the operator can be attracted using an alarm signal. Additional information about objects can be delivered or the automatic control of PTZ cameras applied. Among the considered methods are: people detection, silhouette extraction, multiple camera signal processing, moving object tracking.
A control system for automatic regulation of the tension of the copper wire in a winding machine for segmented tooth stator coils of permanent magnet synchronous motors is presented. The use of a transducer to directl...
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A control system for automatic regulation of the tension of the copper wire in a winding machine for segmented tooth stator coils of permanent magnet synchronous motors is presented. The use of a transducer to directly measure the tension force is avoided. Instead, an observer is used to estimate the tension force using a model of the permanent magnet synchronous tensioning motor, the only measurements being the rotor speed together with the direct axis and quadrature axis stator current components. This tension force estimate is then used as if it was a measurement to feed a second observer based on a complete model of the controlled plant, providing a state estimate. The control variables are the direct and quadrature axis stator voltage components. Forced dynamic control is applied to control the direct axis stator current component to nearly zero, as required for the vector control while observer based robust control is applied to control the tension force. The simulations predict that the system is very insensitive to winding feed speed variations and also to variations in the length of wire in tension feeding the stator segment coil being wound.
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