搜索结果: 1-12 共查到“工学 k-out-of-n redundancy”相关记录12条 . 查询时间(0.521 秒)
MULTI-AGENT LEARNING FRAMEWORK FOR ENVIRONMENT REDUNDANCY IDENTIFICATION FOR MOBILE SENSORS IN AN IOT CONTEXT
Mutual information Gaussian Process Regression (GPR) multi-agent system mobile sensor networks IoT sensor planning
2018/11/9
From an IoT point of view, the continuous growth of cheap and versatile sensor technologies has generated a massive data flow in communication networks, which most of the time carries unnecessary or r...
Identifying Redundancy and Exposing Provenance in Crowdsourced Data Analysis
Crowdsourcing social data analysis
2016/5/24
We present a system that lets analysts use paid crowd workers to explore data sets and helps analysts interactively
examine and build upon workers’ insights. We take advantage of the fact that, for m...
An Accurate Registration Method Based on Point Clouds and Redundancy Elimination of LIDAR Data
LIDAR Point cloud Registration
2015/12/16
A new method for accurate registration and redundancy elimination on point clouds is presented in this paper. Firstly, the accurate
registration arithmetic which based on Iterative Closest Point (ICP...
Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images
feature selection image features pattern classification
2015/7/28
We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
Decentralized Fault Detection and Isolation in Wireless Structural Health Monitoring Systems using Analytical Redundancy
Fault detection and isolation structural health monitoring wireless sensing smart structures analytical redundancy
2015/6/30
One of the most critical issues when deploying wireless sensor networks for long-term structural health monitoring (SHM) is the correct and reliable operation of sensors. Sensor faults may reduce the ...
THE ALL DIGITAL PHOTOGRAMMETRIC WORKFLOW: REDUNDANCY AND ROBUSTNESS
Digital Camera Quality Assessment Analog Film
2015/5/29
Digital aerial cameras, among them the UltraCam D, the new large-format digital aerial camera of Vexcel Imaging, are ready to replace the aerial film camera. This is reason enough to highlight the imp...
Joint redundancy and imperfect preventive maintenance optimization for series杙arallel multi-state degraded systems
Multi-state systems Degradation Maintenance optimization Redundancy optimization Series杙arallel systems Meta-heuristics
2012/4/14
This paper formulates a joint redundancy and imperfect preventive maintenance planning optimization model for series杙arallel multi-state degraded systems. Non identical multi-state components can be u...
Joint redundancy and imperfect preventive maintenance optimization for series杙arallel multi-state degraded systems
Multi-state systems Degradation Maintenance optimization Redundancy optimization Seriesarallel systems Meta-heuristics
2012/4/15
This paper formulates a joint redundancy and imperfect preventive maintenance planning optimization model for series杙arallel multi-state degraded systems. Non identical multi-state components can be u...
Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA
ε-constraint method Pareto front Multi-objective redundancy allocation problem DEA
2012/4/15
In this paper, a procedure based on efficient epsilon-constraint method and data envelopment analysis (DEA) is proposed for solving binary-state multi-objective reliability redundancy allocation serie...
Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA
ε-constraint method Pareto front Multi-objective redundancy allocation problem DEA
2012/4/14
In this paper, a procedure based on efficient epsilon-constraint method and data envelopment analysis (DEA) is proposed for solving binary-state multi-objective reliability redundancy allocation serie...
Using covariates for improving the minimum redundancy maximum relevance feature selection method
Mutual information mRMR unsupervised learning support vector machines SINBAD covariates
2010/11/22
Maximizing the joint dependency with a minimum size of variables is generally the main task of feature selection. For obtaining a minimal subset, while trying to maximize the joint dependency with the...