This paper focuses on the effective utilization of data augmentation techniques for 3Dlidar point clouds to enhance the performance of neural network *** point clouds,which represent spatial information through a coll...
详细信息
This paper focuses on the effective utilization of data augmentation techniques for 3Dlidar point clouds to enhance the performance of neural network *** point clouds,which represent spatial information through a collection of 3D coordinates,have found wide-ranging *** augmentation has emerged as a potent solution to the challenges posed by limited labeled data and the need to enhance model generalization *** of the existing research is devoted to crafting novel data augmentation methods specifically for 3D lidar point ***,there has been a lack of focus on making the most of the numerous existing augmentation *** this deficiency,this research investigates the possibility of combining two fundamental data augmentation *** paper introduces PolarMix andMix3D,two commonly employed augmentation techniques,and presents a new approach,named *** of using a fixed or predetermined combination of augmentation methods,RandomFusion randomly chooses one method from a pool of options for each instance or *** innovative data augmentation technique randomly augments each point in the point cloud with either PolarMix or *** crux of this strategy is the random choice between PolarMix and Mix3Dfor the augmentation of each point within the point cloud data *** results of the experiments conducted validate the efficacy of the RandomFusion strategy in enhancing the performance of neural network models for 3D lidar point cloud semantic segmentation *** is achieved without compromising computational *** examining the potential of merging different augmentation techniques,the research contributes significantly to a more comprehensive understanding of how to utilize existing augmentation methods for 3D lidar point *** data augmentation technique offers a simple yet effective method to leverage the diversity of augmentation techniques and boost the ro
Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power *** deep-learning-based methods can perform well if there are sufficient t...
详细信息
Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power *** deep-learning-based methods can perform well if there are sufficient training data and enough computational ***,there are challenges in building models through centralized shared data due to data privacy concerns and industry *** learning is a new distributed machine learning approach which enables training models across edge devices while data reside *** this paper,we propose an efficient semi-asynchronous federated learning framework for short-term solar power forecasting and evaluate the framework performance using a CNN-LSTM *** design a personalization technique and a semi-asynchronous aggregation strategy to improve the efficiency of the proposed federated forecasting *** evaluations using a real-world dataset demonstrate that the federated models can achieve significantly higher forecasting performance than fully local models while protecting data privacy,and the proposed semi-asynchronous aggregation and the personalization technique can make the forecasting framework more robust in real-world scenarios.
The paper designs a CMOS Li-Ion battery charger that uses multi-mode low dropout (LDO) voltage regulator associated with current sense circuit to supply trickle current, large constant current and constant voltage. Th...
详细信息
This paper is concerned with the adjoint Jacobian motion planning algorithm for the Chaplygin sleigh. We introduce general idea about the algorithm and prove completeness of this algorithm for the Chaplygin sleigh. Fi...
详细信息
ISBN:
(纸本)9783902661555
This paper is concerned with the adjoint Jacobian motion planning algorithm for the Chaplygin sleigh. We introduce general idea about the algorithm and prove completeness of this algorithm for the Chaplygin sleigh. Finally we present the simulation result illustrating performance of this algorithm.
Path planning is very necessary in an autonomous mobile robot system to ensure a planned collision- free path from the starting point to the destination point in the navigation environment In general, there are two me...
详细信息
Future HealthCare must be held for people around the world. The goal of the system is prevent people to go to hospital, in other word prevent to be sick. Healthcare System will do a precheck, and follow up with how to...
详细信息
In the paper an adapted version of the differential evolution algorithm has been created to solve a multiobjective optimization problem. Multi-objective Differential Evolution Algorithm using vector differences for pe...
详细信息
System reconfiguration is often the only means of preserving the continuity of business-critical services after a successful penetration attack. When a fragment of the system has to be isolated (to prevent escalation ...
详细信息
ISBN:
(纸本)9781612082097
System reconfiguration is often the only means of preserving the continuity of business-critical services after a successful penetration attack. When a fragment of the system has to be isolated (to prevent escalation of damages caused by the incident), then the other system components need to take over the functions normally performed by the affected servers. The paper addresses a specific aspect of this reconfiguration - the need to predict its impact on the availability of the services. It proposes an efficient approach, based on network simulation, for assessing the response times of services after reconfiguration. This takes into consideration the identified resource consumption interactions between the co-located services. All the presented simulation results are verified on testbed installations. The accuracy of the simulation method allows prediction of the risk of system overloading as an effect of reconfiguration.
Different type dynamic systems in functional work phase lose performance and it's necessary to establish normal operation level by using external influence. External influence can be defined as recovery method. In...
详细信息
A new control algorithm which based on PID algorithm was proposed for the smart car control system. The parameters of the algorithm were variable. The algorithm had adaptable function and path memory ability. The core...
详细信息
暂无评论