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Leakage Detection Via Model Based Method
2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008This paper presents a model based approach for real time leakage detection in a nonlinear multi tank flow rig. A state space model of the process was derived based on the expansion of the nonlinear function into a Taylor's series about the operating point and the retention of only the linear term. The model based approach performs consistency checks of
Soo Siang Yang +3 more
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A surrogate-model-based method for constrained optimization
8th Symposium on Multidisciplinary Analysis and Optimization, 2000This paper describes an algorithm and provides test results for surrogate-model-based optimization. In this type of optimization, the objective and constraint functions are represented by global "surrogates", i.e. response models, of the "true" problem responses. In general, guarantees of global optimality are not possible.
Charles Audet +4 more
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A model-based development method for SmartOSEK OS
The Fifth International Conference on Computer and Information Technology (CIT'05), 2005With their increasingly wide application in large systems, embedded systems become more and more complicated. However, up to now there has been no mature methodology in embedded software design. In order to resolve this problem, much research has been performed. Designing embedded software based on models has become one of the research focuses.
Zhigang Gao +3 more
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Model-based methods for textile fault detection
International Journal of Imaging Systems and Technology, 1999Addressing the problem of automatic fault detection in woven and dyed fabric, we discuss a number of new statistical model-based methods and relate them to a first stage of point/local detection and a second stage of extended pattern detection. One model-based method defines a maximum likelihood binarization of the image. In another model-based method,
Jonathan G. Campbell +4 more
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A Model-Based Method for Security Configuration Verification
2006Various kinds of access control mechanisms have been employed in today's computer systems to protect confidential information. Since high expertise is required for the system configuration maintenance, detecting vulnerabilities due to configuration errors is a difficult task.
Hiroshi Sakaki +2 more
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A model-based vehicle segmentation method for tracking
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005Our goal is to detect and track moving vehicles on a road observed from cameras placed on poles or buildings. Inter-vehicle occlusion is significant under these conditions and traditional blob tracking methods is unable to separate the vehicles in the merged blobs.
Xuefeng Song, Ramakant Nevatia
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A model-based method to measure baroreflex sensitivity
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016This paper proposes a model-based method to quantitatively measure baroreflex sensitivity in autonomic nervous regulation of cardiovascular system. The method measures the continuous blood pressure and heart rate in orthostatic scenario, models dynamics of the baroreflex firing rate, solves parameters by optimization of measured blood pressure and ...
Yu Meng +3 more
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Method efficiency model based on value relevancy
ACM SIGSOFT Software Engineering Notes, 2010Class methods are modules in a class that perform a specific behavior. The best software practice in defining a method is to assign a single task for each method. It is always expected that each method should carry out a unique task in its defining class. A series of similar tasks are usually defined by overloaded methods.
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IDENTIFICATION, MODEL-BASED METHODS
2001Parametric identification of vibrating systems is the process of developing finitely parametrized models for such systems based upon measured excitation and/or response signals. Typically, the excitation is force and the response vibration displacement, velocity, or acceleration. A typical identification experiment is depicted in Figure 1.
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A Model-Based Method for Face Shape Recovery
2005In this paper we describe a model-based method for recovering the 3D shape of faces using shape-from-shading. Using range-data, we learn a statistical model of the variation in surface normal direction for faces. This model uses the azimuthal equidistant projection to represent the distribution of surface normal directions.
William A. P. Smith, Edwin R. Hancock
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