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The problem of unknown input reconstruction for nonlinear dynamic system is addressed in this paper. A system inversion based method as well as a combination method which integrates sliding mode observer with system inversion is implemented for achieving this purpose on a Hex reactor system. The second order sliding mode observer is considered to exactly estimate the successive derivatives of the...
A hybrid predictive control strategy is proposed which can efficiently deal with the speed regulation control of permanent magnet synchronous generator (PMSG) in wind-energy conversion system. A single linear MPC controller is designed with a simpler linearization model. Model predictive controller generates control voltages which are iuput into PWM controller. Thus PMSG can be controlled by three-phase...
With high-performance mobile processors and large main memory, smartphones are now integrated with more applications and richer functionality than ever. This poses larger memory and storage space demands, however, most mobile systems have limited memory space, which in turn affects user satisfaction. For example, application response time could become longer due to limited memory capacity. Swapping...
Large-scale time series data are prevalent across diverse application domains including system management, biomedical informatics, social networks, finance, etc. Temporal dependency discovery performs an essential part to identify the hidden interactions among the observed time series and helps to gain more insight into the behavior of the applications. However, the time-varying sparsity of the interactions...
Power factor correction (PFC) converters possess high complexities due to the introduction of the series connections among power converters, which adversely affects the stability of the PFC system. On the assumption that the input voltage can be replaced by its RMS value, and the frequencies of the inductor current and the output voltage of PFC primary converter are much lower than the switching frequency...
An adaptive threshold shot detection algorithm based on improved block color features is proposed in this paper. This paper adopts an improved block color feature extraction method based on equal area of rectangular ring. Sub-block accumulative color histogram is extracted as color features and different weight for different rectangle rings is set in order to highlight the central part of frame. Then,...
Block adjustment can improve the accuracy of airborne InSAR data which covers large areas under the conditions of sparse control points, and it can improve the planar and vertical accuracy using a few of gound control points (GCPs). In this paper, we research the orthogonal decomposition of look vector model, three dimensional reconstruction model for airborne InSAR and the sensitivity equations at...
This paper proposes a novel remanence detection method for power transformers based on the modified Jiles-Atherton model. The residual flux can be determined accurately by inputting the same sources in DC tests to our simulation model. The value of remanence could be seen as the intercept on B axis of demagnetization curve in our Simulink model, and its polarity could be obtained by the current direction...
We chose class diagram as the UML model to be formalized by B specification, building the domain model to extract metaclass as a basic unit. According to the source of attributes, we classify them into inline attribute and associated attribute, and discuss the formal methods under different situations. Analyze association, the construction of associated class, and their formal methods. Comparing the...
Multilabel categorization, which is more difficult but practical than the conventional binary and multiclass categorization, has received a great deal of attention in recent years. This paper proposes a novel probabilistic generative model, label correlation mixture model (LCMM), to depict the multiply labeled documents, which can be used for multilabel spoken document categorization as well as multilabel...
In this paper, we propose a method to optimize the design parameters of the grating eddy current displacement sensor (GECDS) and minimize the nonlinearity error by combining FE, response surface method (RSM) and genetic algorithm (GA). This kind of sensor can be used in waterproof electronic caliper to realize long range displacement measurement with high accuracy in harsh environment. Finite-element...
Current myoelectrically controlled hand prostheses normally lack tactile feedback, thus limiting their functionalities and user acceptance. We propose a non-invasive tactile sensory feedback system, consisting miniaturized sensors, wireless communication module and vibrotactile actuators, aiming at providing a natural sense of touch to amputees. We model the tactile feedback chain from tactile sensors...
Foreground object detection is an important area in computer vision research. It aims to detect, classify, and recognize object in video images. Real time video processing needs to deal with large amount of data. It is also computationally intensive. This paper presents the parallelization of foreground object detection algorithms on a polymorphous computer that is capable of data parallel, thread...
The popularity of cloud service spurs the increasing demands of cloud resources to the cloud service providers. Along with the new business opportunities, the pay-as-you-go model drastically changes the usage pattern and brings technology challenges to effective capacity planning. In this paper, we propose a new method for cloud capacity planning with the goal of fully utilizing the physical resources,...
There has been a constant barrage of worms over the internet during the recent past. In order to develop appropriate tools for thwarting quick spread of worms, researchers are trying to understand the behavior of the worm propagation with the aid of epidemiological models. In this study, A SIQRS (susceptible-infected-quarantined-removed-susceptible) model with nonlinear incidence rate for the worm...
With its unique and perfect performance, Nano-TiO2 film has been widely used in many fields. However, the preparation of Nano-TiO2 film has significant sustainability issues including heavy use of energy and materials, low production efficiency, toxic chemical emissions, etc. In this research, case study is conducted on a Low Pressure Chemical Vapor Deposition (LPCVD) process for nano-TiO2 film preparation...
Cloud computing as a service promises many business benefits. The cost to pay is that it also faces many technique challenges. One of the challenges is to effectively manage cloud capacity in response to the increased demand changes in clouds, as computing customers now can provision and de-provision virtual machines more frequently. This paper studies cloud capacity prediction as a response to the...
Hybrid systems model checking is a great success in guaranteeing the safety of computerized control cyber-physical systems (CPS). However, when applying hybrid systems model checking to Medical Device Plug-and-Play(MDPnP) CPS, we encounter two challenges due to the complexity of human body: i) there are no good offline differential equation based models for many human body parameters, ii) the complexity...
A dynamically reconfigurable architecture VSP-DR1 for video processing is proposed in this paper. This architecture is derived from years of engineering video ASICs and is ideally suited to real-time video streaming. The various cells of the architecture are optimized for video post processing. The architecture, along with its video application, can be used in many real-time video applications.
This paper presents an optimal parametric active contour method based on Fourier descriptors to detect and track a contour from a sequence of images in real-time. The advantage of this approach is that not only convex but also concave contours can be considered. We also propose a method to initialize the active contour using only three user's clicks in the first image of the sequence and to automatically...
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