The multitude of airborne point clouds limits the point cloud processing *** are grouped based on similar points,which can effectively alleviate the demand for computing resources and improve processing ***,existing s...
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The multitude of airborne point clouds limits the point cloud processing *** are grouped based on similar points,which can effectively alleviate the demand for computing resources and improve processing ***,existing superpoint segmentation methods focus only on local geometric structures,resulting in inconsistent spectral features of points within a *** feature inconsistencies degrade the performance of subsequent ***,this study proposes a novel Superpoint Segmentation method that jointly utilizes spatial Geometric and Spectral Information for multispectral point cloud superpoint segmentation(GSI-SS).Specifically,a similarity metric that combines spatial geometry and spectral information is proposed to facilitate the consistency of geometric structures and object attributes within segmented *** the formation of the primary superpoints,an intersuperpoint pointexchange mechanism that maximizes feature consistency within the final superpoints is *** are conducted on two real multispectral point cloud datasets,and the proposed method achieved higher recall,precision,F score,and lower global consistency and feature classification *** experimental results demonstrate the superiority of the proposed GSI-SS over several state-of-the-art methods.
The purpose of this article is to meet with problems of inquest torque moment asynchronous motor that is operated by frequency changer with scalar drive. Measuring of torque moment is perfomed by using incremental sen...
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Well-known implementations of software systems for predicting sports events based on artificial neural networks do not provide sufficiently accurate results in individual sports. The main difficulty in this case is th...
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This paper considers the method of cascading neural network modules to build the operating device of a specialized computing system. Each module implements some model of neural network. The cascade of modules is forme...
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This paper proposes a relative navigation framework using flash LiDAR aided-inertial navigation and surfel grid maps for in-situ autonomous exploration of small solar system bodies' (SSSB) surfaces. The key idea o...
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This paper presents a modular architecture for behavior-based mobile robot control systems using fuzzy logic. The behaviors are functionally classified into two separated modules concerning collision-free motion contr...
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Context-aware plays a pivotal role in the wisdom network of information processing. Due to the limited resources, context conflict is inevitable in context-aware. User satisfaction is a good reflection for the wisdom ...
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Context-aware plays a pivotal role in the wisdom network of information processing. Due to the limited resources, context conflict is inevitable in context-aware. User satisfaction is a good reflection for the wisdom degree of the network. In this paper, considering the user satisfaction, we propose a novel context-aware conflict solution model based on set pair Analysis （SPA）. The model obtains the best server mode by the maximum satisfaction connection degree to solve the conflict in context-aware. The simulation analysis shows that the proposed method is effective and can solve many users competition for the same scene of conflict.
Error propagation analysis is an important part of a system development process. This paper addresses a model based analysis of spreading of data errors through mechatronic systems. Error propagation models for such k...
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An accelerated algorithm for calculating the number of array numbers that fit in each of the specified ranges is proposed. The algorithm assumes that the number of ranges is a multiple of the power of two, the bit dep...
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The paper describes a simulation application for the process of evacuating people from a building in the event of a fire. This simulation was developed as an agent system using the DEVS formalism. The following sectio...
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