Agent technology in the power system domain is the realm of theory and laboratory simulation. Agent-based systems, due to their complexity of concept and design, may appear difficult to implement and maintain, and hen...
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Advancement in micro/nano-technology has improved the development of bio-syncretic micro-manipulators. But there are still some challenges including the efficiency, precision and flexibility that constrain the applica...
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ISBN:
(纸本)9781467396769
Advancement in micro/nano-technology has improved the development of bio-syncretic micro-manipulators. But there are still some challenges including the efficiency, precision and flexibility that constrain the application of micro-manipulators. In this work, a bio-tweezer system is proposed that could flexibly manipulate micro objects in three dimensions with opto-induced bio-actuation by high-density microorganisms. Based on the Langevin equation, a mathematical model considering the hydrodynamics and similar Brownian motion principle was proposed to analyze the performance of manipulation, and, was verified by implementing the experiments to move micro particles in the two-dimension plane and to rotate asymmetrical objects around one axis. This work is helpful for quantitative understanding of micro/nano-manipulation actuated by microorganisms.
This paper presents a new seven-level voltage source converter (VSC) for high-power medium-voltage (MV) motor drives. The proposed topology is composed of H-bridge connection of two nested neutral-point-clamped (NNPC)...
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Skeletonization of gray-scale images is a challenging problem in computer vision due to the non-uniform width of shape and the clutter background. This paper presents a novel approach of skeletonization for gray-scale...
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ISBN:
(纸本)9781450328104
Skeletonization of gray-scale images is a challenging problem in computer vision due to the non-uniform width of shape and the clutter background. This paper presents a novel approach of skeletonization for gray-scale images directly from original image based on anisotropic Gaussian filter. To deal with the non-uniform width of natural object parts, we adapt the shape of filter kernel to local gradient feature. The orientation of filter is firstly estimated based on local structure tensor, and then the scale is calculated based on gradient vector flux. After that, the anisotropic Gaussian filter is performed on the image. The skeleton strength map is defined by the gradient vector flux measure. Finally, thin and binary skeleton is obtained by non- maximum suppression the skeleton strength map. Our method performs well on both binary and gray image in skeleton extraction even for clutter image. Copyright 2014 ACM.
In this paper, a robust control system analysis of an isolated microgrid is introduced. This analysis is based on the concept of multiloop stability margin, and the Nu gap approach. This approach helps the system'...
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This paper presents a new filtering based multiple-model control scheme for satellite attitude tracking control in the presence of sign errors in actuator response. As a result of a software or hardware fault, such ac...
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ISBN:
(纸本)9781479947249
This paper presents a new filtering based multiple-model control scheme for satellite attitude tracking control in the presence of sign errors in actuator response. As a result of a software or hardware fault, such actuation sign errors which are uncertain in occurring time instants and patterns may lead to the loss of satellites. The control design employs two steps: first,a bank of control laws are developed, each of which can ensure the system stability and asymptotic attitude tracking properties when the system operates under the corresponding actuation sign pattern;then a control switching mechanism is set up to find out the most appreciate control law as the applied control signal with a minimal performance cost index function. The used performance cost functions are calculated from the estimation errors generated by using a stable filter. Simulation results for a satellite with four reaction wheels are presented to demonstrate the effectiveness of the proposed multiple-model control scheme.
By utilizing captured characteristics of surrounding contexts through widely used Bluetooth sensor, user-centric social contexts can be effectively sensed and discovered by dynamic Bluetooth information. At present, s...
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ISBN:
(纸本)9781467395052
By utilizing captured characteristics of surrounding contexts through widely used Bluetooth sensor, user-centric social contexts can be effectively sensed and discovered by dynamic Bluetooth information. At present, state-of-the-art approaches for building classifiers can basically recognize limited classes trained in the learning phase; however, due to the complex diversity of social contextual behavior, the built classifier seldom deals with newly appeared contexts, which results in degrading the recognition performance greatly. To address this problem, we propose, an OSELM (online sequential extreme learning machine) based class incremental learning method for continuous and unobtrusive sensing new classes of social contexts from dynamic Bluetooth data alone. We integrate fuzzy clustering technique and OSELM to discover and recognize social contextual behaviors by real-world Bluetooth sensor data. Experimental results show that our method can automatically cope with incremental classes of social contexts that appear unpredictably in the real-world. Further, our proposed method have the effective recognition capability for both original known classes and newly appeared unknown classes, respectively.
This paper proposes a randomized incremental algorithm to distributedly compute the least square (LS) estimate of linear systems over sensor networks. By integrating its measurement information, a sensor is randomly a...
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In two-tiered Wireless Sensor Networks (WSNs) relay node placement considering resource constraints and high overhead of the relay nodes plays a key role in extending the network lifetime. Therefore, approaches that s...
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ISBN:
(纸本)9781479984077
In two-tiered Wireless Sensor Networks (WSNs) relay node placement considering resource constraints and high overhead of the relay nodes plays a key role in extending the network lifetime. Therefore, approaches that support fewer relay nodes are desired to cover the WSNs. In this paper, we formulate the relay node placement problem as a Geometric Disc Covering (GDC) problem, and propose a novel local search approximation algorithm (LSAA) to solve the GDC problem. In the proposed LSAA, the sensor nodes are allocated into independent groups and then a Set Cover (SC) for each group is performed. The set of the SC for each group constitutes a SC of the GDC problem. LSAA is extensively investigated and analyzed by rigorous proof and the simulation results presented in this paper clearly demonstrate that the proposed LSAA outperform the approaches reported in literature in the reduction in deployed relay nodes.
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