Kernel Self-Adaptive Learning-Based Satellite Telemetry Data Classification

2016 ◽  
Author(s):  
Junbao Li ◽  
Wenhui Yang ◽  
Datong Liu ◽  
Jing Liu
Keyword(s):  
Adaptive Learning ◽  
Satellite Telemetry ◽  
Data Classification ◽  
Telemetry Data ◽  
Self Adaptive

scholarly journals Study on the Satellite Telemetry Data Classification Based on Self-Learning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 2656-2669 ◽  
Author(s):  
Peng Wan ◽  
Yafeng Zhan ◽  
Weiwei Jiang
Keyword(s):  
Satellite Telemetry ◽  
Data Classification ◽  
Telemetry Data ◽  
Self Learning

SELF-ADAPTIVE LEARNING CLASSIFIER SYSTEM

2010 ◽  
Vol 19 (01) ◽  
pp. 275-296 ◽  
Author(s):  
OLGIERD UNOLD
Keyword(s):  
Mutation Rate ◽  
Adaptive Learning ◽  
Adaptive Mutation ◽  
Learning Classifier System ◽  
Classifier System ◽  
Learning Classifier ◽  
Adaptive Parameters ◽  
Proposed Model ◽  
Fixed Parameter ◽  
Self Adaptive

This article introduces a new kind of self-adaptation in discovery mechanism of learning classifier system XCS. Unlike the previous approaches, which incorporate self-adaptive parameters in the representation of an individual, proposed model evolves competitive population of the reduced XCSs, which are able to adapt both classifiers and genetic parameters. The experimental comparisons of self-adaptive mutation rate XCS and standard XCS interacting with 11-bit, 20-bit, and 37-bit multiplexer environment were provided. It has been shown that adapting the mutation rate can give an equivalent or better performance to known good fixed parameter settings, especially for computationally complex tasks. Moreover, the self-adaptive XCS is able to solve the problem of inappropriate for a standard XCS parameters.

Modelling spatial patterns in harbour porpoise satellite telemetry data using maximum entropy

Ecography ◽  
2010 ◽  
Vol 33 (4) ◽  
pp. 698-708 ◽  
Author(s):  
Susi M. C. Edrén ◽  
Mary S. Wisz ◽  
Jonas Teilmann ◽  
Rune Dietz ◽  
Johan Söderkvist
Keyword(s):  
Maximum Entropy ◽  
Spatial Patterns ◽  
Satellite Telemetry ◽  
Harbour Porpoise ◽  
Telemetry Data

scholarly journals Adaptive Learning Mode of a Multimedia-based "English Literature" Learning System

2017 ◽  
Vol 12 (01) ◽  
pp. 71 ◽  
Author(s):  
Jie Mei ◽  
Yanhong Guo ◽  
Xiaokun Li
Keyword(s):  
Adaptive Learning ◽  
English Literature ◽  
Learning System ◽  
The Self ◽  
Independent Learning ◽  
Learning Ability ◽  
Teaching Model ◽  
Learning Situation ◽  
Teaching Pattern ◽  
Self Adaptive

In this paper, a multimedia-based English pronunciation learning system was designed. On this basis, a self-adaptive learning mode which consists of the teaching mode and the independent learning mode was proposed. The self-adaptive teaching model uses corpus technology and covers the exploratory “3I” (Illustration-Interaction-Induction) teaching model, thereby changing the traditional teaching pattern of “spoon-feeding”; when it comes to the independent learning mode, the self-adaptive system can automatically set corresponding learning tasks according to the learning situation of students, to improve the autonomy and differences of students’ self-learning. At the same time, the approach of comparative teaching was especially adopted to test the validity of this system and the learning mode. Specifically, the exquisite course of “English Literature” for students of Grade 2015 majoring in English was selected as the experimental group, to compare with the learning situation of their counterparts of Grade 2014 in the last year. The results show that the learning mode is remarkable in its teaching practicality, could bring a significant effect on improving teaching efficiency and students’ independent learning ability, and enjoys a high research value and a promising application prospect.

Inconspicuous, recovering, or northward shift: status and management of the white shark (Carcharodon carcharias) in Atlantic Canada

2020 ◽  
Vol 77 (10) ◽  
pp. 1666-1677
Author(s):  
G. Bastien ◽  
A. Barkley ◽  
J. Chappus ◽  
V. Heath ◽  
S. Popov ◽  
...  
Keyword(s):  
Action Plan ◽  
Satellite Telemetry ◽  
White Shark ◽  
Conservation Priorities ◽  
Atlantic Canada ◽  
Telemetry Data ◽  
Carcharodon Carcharias ◽  
Proactive Management ◽  
High Site ◽  
Research Incentives

Although white sharks (Carcharodon carcharias) have been considered rare in Atlantic Canada waters, recent sighting records indicate a potentially increasing presence. We combine historical to present sighting data with satellite telemetry tracks of large juvenile and adult white sharks tagged in US (n = 9) and Atlantic Canada waters (n = 17) to show seasonal white shark presence and distribution in Atlantic Canada, returns by individuals over multiple years, and high site fidelity to the region. Telemetry data indicate that white sharks are a more common and consistent occurrence in Canadian waters than previously thought, presenting two potential scenarios: (i) tagging technology is revealing white shark presence that was historically cryptic and (or) (ii) a northward range expansion of white sharks in the Northwest Atlantic, potentially due to climate change, population recovery, and (or) increasing pinniped prey. Given combined sighting and telemetry data indicate a current need for proactive management of white sharks in Atlantic Canada waters, we propose the basis for a management action plan, addressing conservation priorities, management goals, and research incentives while considering the potential for human–shark interactions.

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