Development and evaluation of gamut extension algorithms

2009 ◽  
Vol 34 (6) ◽  
pp. 443-451 ◽  
Author(s):  
Justin Laird ◽  
Remco Muijs ◽  
Jiangtao Kuang
Keyword(s):  
Extension Algorithms

scholarly journals Speech quality prediction for artificial bandwidth extension algorithms

2013 ◽  
Author(s):  
Sebastian Möller ◽  
Emilia Kelaidi ◽  
Friedemann Köster ◽  
Nicolas Côté ◽  
Patrick Bauer ◽  
...  
Keyword(s):  
Speech Quality ◽  
Quality Prediction ◽  
Bandwidth Extension ◽  
Extension Algorithms ◽  
Artificial Bandwidth Extension

scholarly journals Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Ruixin Yang ◽  
Yingyan Yu
Keyword(s):  
Neural Network ◽  
Medical Imaging ◽  
Object Detection ◽  
Convolutional Neural Network ◽  
Imaging Study ◽  
Semantic Segmentation ◽  
Vast Number ◽  
Digital Medicine ◽  
Extension Algorithms ◽  
Imaging Classification

In the era of digital medicine, a vast number of medical images are produced every day. There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical doctors with different disciplines. With the development of artificial intelligence, the algorithms of convolutional neural network (CNN) progressed rapidly. CNN and its extension algorithms play important roles on medical imaging classification, object detection, and semantic segmentation. While medical imaging classification has been widely reported, the object detection and semantic segmentation of imaging are rarely described. In this review article, we introduce the progression of object detection and semantic segmentation in medical imaging study. We also discuss how to accurately define the location and boundary of diseases.

Dynamic VNF Forwarding Graph Extension Algorithms

2020 ◽  
Vol 17 (3) ◽  
pp. 1389-1402 ◽  
Author(s):  
Omar Houidi ◽  
Oussama Soualah ◽  
Wajdi Louati ◽  
Djamal Zeghlache
Keyword(s):  
Extension Algorithms

Virtualized Network Services Extension Algorithms

2018 ◽  
Author(s):  
Omar Houidi ◽  
Oussama Soualah ◽  
Wajdi Louati ◽  
Djamal Zeghlache ◽  
Farouk Kamoun
Keyword(s):  
Network Services ◽  
Extension Algorithms

scholarly journals Two General Extension Algorithms of Latin Hypercube Sampling

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Zhi-zhao Liu ◽  
Wei Li ◽  
Ming Yang
Keyword(s):  
Greedy Algorithm ◽  
Latin Hypercube Sampling ◽  
Latin Hypercube ◽  
Acyclic Graph ◽  
Sampling Points ◽  
Extension Algorithms ◽  
Relationship Of ◽  
The Relationship

For reserving original sampling points to reduce the simulation runs, two general extension algorithms of Latin Hypercube Sampling (LHS) are proposed. The extension algorithms start with an original LHS of sizemand construct a new LHS of sizem+nthat contains the original points as many as possible. In order to get a strict LHS of larger size, some original points might be deleted. The relationship of original sampling points in the new LHS structure is shown by a simple undirected acyclic graph. The basic general extension algorithm is proposed to reserve the most original points, but it costs too much time. Therefore, a general extension algorithm based on greedy algorithm is proposed to reduce the extension time, which cannot guarantee to contain the most original points. These algorithms are illustrated by an example and applied to evaluating the sample means to demonstrate the effectiveness.

Vehicle Routing Problem Based on Heuristic Artificial Fish School Algorithm

2014 ◽  
Vol 721 ◽  
pp. 56-61 ◽  
Author(s):  
Lei Qin ◽  
Ya Qin Li ◽  
Kang Zhou
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Heuristic Algorithms ◽  
Three Dimensional ◽  
Optimal Solution ◽  
Routing Problem ◽  
Fish School ◽  
Coding Method ◽  
Core Issue ◽  
Extension Algorithms

Vehicle Routing Problem (VRP) is one of the core issue of logistics distribution, for traditional precision algorithms and heuristic algorithms had low accuracies or easily fell into local optimal solutions, it was difficult to obtain the optimal solution. This paper proposes a heuristic artificial fish school algorithm (HAFSA) for VRP, firstly, three-dimensional particle coding method is applied to vehicle routing code, and infeasible and inadequate artificial fish coding for heuristic repair, secondly HAFSA steps are given, finally the algorithm is tested through a simulative example. The experimental results show that compared with traditional genetic algorithm (GA) and particle swarm optimization (PSO), AFSA and their extension algorithms, HAFSA has a better performance in time and space cost and convergence.

The Application of Extension Algorithms in Induction Motor Mechanical Fault Diagnosis

2010 ◽  
Vol 426-427 ◽  
pp. 593-598
Author(s):  
Kuei Hsiang Chao
Keyword(s):  
Fault Diagnosis ◽  
Induction Motors ◽  
Vibration Signal ◽  
Element Model ◽  
Measured Data ◽  
Extension Method ◽  
Fault Type ◽  
Correlation Degree ◽  
Diagnosis Method ◽  
Extension Algorithms

The main purpose of this paper is to apply the extension method based on the spectrum of the vibration signal for motor mechanical fault diagnosis. The measured data of mechanical fault in induction motors are adopted to carry out the spectrum analysis and then establish the extension element model. According to the distance and the correlation function value concept of extension theory, one can calculate the correlation degree of various fault type and then determine the most possible category of mechanical fault in induction motors. Finally, some simulation and experimental results are made to verify the effectiveness of the proposed motor mechanical fault diagnosis method.

Sign in / Sign up

Export Citation Format

Share Document