Being able to automatically segment 3D models into meaningful parts is an important goal in 3D shape processing. In this paper, we are proposing a fast and easy-to-implement 3D segmentation approach, which is based on...
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ISBN:
(纸本)9789897580024
Being able to automatically segment 3D models into meaningful parts is an important goal in 3D shape processing. In this paper, we are proposing a fast and easy-to-implement 3D segmentation approach, which is based on spectral clustering. For this purpose, we define an improved formulation of the similarity matrix which allows our algorithm to segment both free-form and CAD (computer Aided Design) 3D models. In 3D space, different shapes, such as planes and cylinders, have different surface normal distributions. We defined the similarity of vertices based on their normals which can segment a 3D model into its geometric features. Results show the effectiveness and robustness of our method in segmenting a wide range of 3D models. Even in the case of complex models, our method results in meaningful segmentations. We tested our segmentation approach on real data segmentation, in the presence of noise and also in comparison with other methods which provided good results in all cases.
We present the MDS feature learning framework, in which multidimensional scaling (MDS) is applied on high-level pair wise image distances to learn fixed-length vector representations of images. The aspects of the imag...
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The integration of distributed generations(solar power,wind power),energy storage devices,and electric vehicles,causes unpredictable disturbances in power *** has become a top priority to coordinate the distributed ge...
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The integration of distributed generations(solar power,wind power),energy storage devices,and electric vehicles,causes unpredictable disturbances in power *** has become a top priority to coordinate the distributed generations,loads,and energy storages in order to better facilitate the utilization of new ***,a novel algorithm based on deep reinforcement learning,namely the deep PDWoLF-PHC(policy dynamics based win or learn fast-policy hill climbing)network(DPDPN),is proposed to allocate power order among the various *** proposed algorithm combines the decision mechanism of reinforcement learning with the prediction mechanism of a deep neural network to obtain the optimal coordinated control for the *** it solves the problem brought by stochastic disturbances and improves the utilization rate of new *** are conducted with the case of the improved IEEE two-area and a case in the Guangdong power *** show that the adaptability and control performance of the power system are improved using the proposed algorithm as compared with using other existing strategies.
To improve the performance of autonomous vehicles operating in a factory environment, it is important to develop an intelligent planning system to avoic. vehicle collisions as well as to design a good path network whi...
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An intelligent robotic system for multi-sensor based tracking and interception of moving objects which travel at unknown velocities is presented. The capability for multi-sensor assisted object tracking has been achie...
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ISBN:
(纸本)9780819400383
An intelligent robotic system for multi-sensor based tracking and interception of moving objects which travel at unknown velocities is presented. The capability for multi-sensor assisted object tracking has been achieved through the development of techniques to track in multiple dimensions for both the static and dynamic cases. These methods are realized via the fusion of the best attributes of visual and acoustic sensing into an effective configuration that is ideal for real time tracking purposes. The kinematic information for a moving object is extracted via end effector mounted vision and ultrasonic sensors. A hybrid position/force servo-controlled gripper developed at NCSU has been used for the system implementation. One parallel actuation gripper finger houses a fiber optics based Eye-in-Hand vision sensor, while the other accommodates an ultrasonic range sensor. The primary intent of this work is to develop approaches for performing the tasks of: generalized visual/ultrasonic tracking of known rectangular entities;3-D tracking of arbitrary pseudo-planar objects that can change orientation about the optical axis;and a real time paradigm for the tracking of motion in 3-D with variable orientation about the optical axis. This discussion includes both a description of the underlying principles and the initial experimental results.
This paper presents a fast and accurate brushless dc motor (BLDC) phase variable model for drive system simulations. The developed model was built based on nonlinear transient finite-element analysis to obtain the ind...
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Continuous-time random disturbances from the renewable generation pose a significant impact on power system dynamic behavior. In evaluating this impact, the disturbances must be considered as continuous-time random pr...
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High-gain charge pumps use MOS switches to rearrange the topology of the circuit in the adjacent half periods of the clock signals, which enables the charge pump circuit to achieve high output voltage. The MOS switche...
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Nowadays, social network services, such as Twitter and Facebook, are widely being exploited. Many people have participated in social network services to enjoy the communication with their friends and to extend persona...
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A new, flexible, mixed-integer formulation is presented for solving the single-stage AC-transmission expansion planning problem. This new formulation handles the discrete nature of equipment additions without resortin...
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A new, flexible, mixed-integer formulation is presented for solving the single-stage AC-transmission expansion planning problem. This new formulation handles the discrete nature of equipment additions without resorting to linearized incremental approaches, but still uses integer linear programming. Even the interconnection of an initially disjoint system is handled directly without resorting to an arbitrary initially connected system. The optimal configuration at the end of the planning step under consideration minimizes an annually amortized cost function including the investment cost for equipment additions and the operating cost in terms of real-power transmission losses. Using a new, efficient, linear load-flow model, the formulation developed here is characterized by a complete decoupling between real and reactive equations. Examples have been incorporated to illustrate the potentials of this new optimum planning formulation. A major contribution of this paper is in showing how the power system transmission expansion planning problem can fit into the standard, mixed-integer, linear programming format in both a conventional sensitivity formulation and also with our new implicit enumeration formulation.
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