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Edge detection is a very difficult task. In the paper a new method, referred to as the anisotropic Gaussian kernel, is proposed. The algorithm selects every image pixel's direction derivation for image edge detection. Unlike the existing isotropic-type way that is widely used in image edge detection, the new technique depends on both the anisotropic Gaussian kernel and the image's direction derivative...
Classing object is an important step for the high-level visions processing tasks, such as security managing, and abnormality event analysis. In this paper, we address these challenges of abnormal water surface monitoring in real-world unconstrained environments where the background is complex and dynamic. In the algorithm proposed, we extract the moment features of water surface in a color space,...
Data-driven control approaches have been widely applied in the modern industrial process control. A multivariable data-driven based controller using model predictive control strategy for the vapor compression refrigeration cycle system is proposed in this paper. For the purpose of further simplification of the controller design, a 3rd-order model has been derived by model identification method, which...
Nowadays, the structure and properties of water supply system are becoming more and more complex, and modeling is becoming increasingly difficult. In this paper, a data-driven subspace identification method is presented. Firstly, a brief introduction for water supply systems is presented; after that, we get the I/O data through the InfoWorks WS software; at last, a data-driven subspace identification...
This paper focuses on the distributed control problem for a type of Chinese High Speed Train with a longitudinal dynamic model. By introducing new vectors, we build a local subsystem for every coach. Then we classify a group of neighbourhood subsystems according to the relationships between the coach and other coaches. Based on the neighbourhood systems, we propose a neighbourhood optimization function...
Building energy management (BEM) system is a critical component to manage energy demand. The future vision of BEM is to promote the integration of renewable energy and demand response by exploiting smart grid technologies. However, it will introduce the uncertainty and randomness significantly both in energy supply and demand, which poses great challenge in scheduling the electricity procurement and...
In this paper, a wireless power transfer system (WPT) with magnetically coupled resonators is studied. The idea to use a reflector to enhance the coupling coefficient and the transfer efficiency is proposed and analyzed. Perfect magnetic conductor (PMC) was used in numerical calculations in order to study the performance of a reflector. In the WPT system we studied, efficiency is increased from 48%...
We develop an optimized FFT based Poisson solver on a CPU-GPU heterogeneous platform for the case when the input is too large to fit on the GPU global memory. The solver involves memory bound computations such as 3D FFT in which the large 3D data may have to be transferred over the PCIe bus several times during the computation. We develop a new strategy to decompose and allocate the computation between...
Traditional fixed pricing mode limits the accepted number of users and traffic flows in networks. This results in low profits for operators. By applying appropriate pricing strategies, wireless radio resources can be utilized more adequately, and promising improvement of operation profits can be achieved. In this paper, a dynamic pricing strategy for delay tolerant service aggregation multicast in...
Embedded smart cameras have made a dramatic shift towards distributed surveillance systems by combining sensing, processing and communicating on a single platform. A critical issue in embedded smart cameras is resource-limited, which poses great challenging in designing fast and efficient vision algorithms. In this paper, we explore light-weighted foreground detection in resource-limited embedded...
This paper considers an ad hoc network, where a set of energy-rich mobile nodes, termed mobile relays, are used to facilitate relaying packets so as to mitigate the energy consumption of static nodes. Existing work has focused on link-level relaying behaviors. In this work, we show how to achieve route-level relaying by overhearing route control and data packets. This allows mobile relays to redirect...
This paper focuses on the problem of adaptive tracking for a class of stochastic mechanical control systems with unknown parameters. By reasonably introducing random noise, a method to construct stochastic Lagrangian control systems is given. Under some milder assumptions, an adaptive tracking controller is designed such that the mean square of the tracking error converges to an arbitrarily small...
The simultaneous localization and mapping (SLAM) in 2D unknown environment based on the natural corners is presented in this paper. The corners are chosen as landmarks by finding the intersection points or the end points of the line segments extracted from the raw sensor data. The mapping is constructed by the Improved Extended Kalman Filter (IEKF) based SLAM algorithm, the procedure of which is analyzed...
This paper comes up with a new kind of network based protection scheme for the 10kV loop distribution power grid, making full use of the communication networks to get rid of the disadvantages of the original protection system. The basic principle, main structure and performance feature of the network based protection system are introduced in detail. Hierarchical configuration is adopted to meet the...
In this study, the feasibility for simultaneous PET and SPECT dual-tracer small animal imaging is investigated. A custom-made PET/SPECT imaging system was modeled in this simulation study. In this system, PET imaging was performed with a stationary LYSO detector ring, and SPECT imaging of Tc-99m was conducted with the same detectors and a ring-shape multi-pinhole collimator inserted into the detector...
GATE based simulation studies were conducted to guide breast PET system designs with different system geometries. A breast phantom (modeled as a half prolate spheroid with 7 cm equatorial radii and 11 cm polar radius) was generated for the study with warm background and hot lesions of different diameters (2, 3, 4 and 6 mm) and lesion/background activity ratios (3∶1, 5∶1 and 8∶1, F-18 isotope). Each...
Deployment and reconfiguration are two important development stages in wireless sensor network (WSN). Currently, the main challenges of the WSN development include the constrained platform resources, the complicated application development process as well as the unstable wireless communications. In this paper, we present our sensor node platform iLive which is equipped with the AVR 8-bit microcontroller...
This paper introduced a method of converting AC transmission lines to tripole DC using current modulation. This method cannot only make full use of existing lines and equipment, but also improve power capacity and system performance. So it is available in both technology and economy. This paper also analyzed the principles of current modulation. Moreover, tripole DC transmission system is simulated...
Digital ink documents in Chinese contain texts and non-texts mixed graphic with text, such as flowcharts and tables. Digital ink documents can neither be segmented nor be recognized until their strokes are classified as either graphics or text. Thus, this paper focuses on comparing features and classifiers for stroke classification. Not only independent features but also context ones relative to neighbors...
As an excellent technology, model predictive control has become a more pleasing and popular research topic. In order to solve the higher precision control problem for the nolinear, uncertained and strong-coupled ship dynamic positioning system, this paper introduces the nonlinear model predictive control (NMPC) technology into this system based on lots of foregoing work about its linear application...
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