Combining principle component analysis and a back-propagation network for classifying plant water-stress based on images of chlorophyll fluorescence

2018 ◽  
pp. 241-248
Author(s):  
Chunyan Zhou ◽  
Jian Dong Mao ◽  
Hu Zhao ◽  
Bai Zhang
Keyword(s):  
Chlorophyll Fluorescence ◽  
Water Stress ◽  
Principle Component Analysis ◽  
Back Propagation ◽  
Component Analysis ◽  
Plant Water ◽  
Plant Water Stress ◽  
Principle Component ◽  
Propagation Network

ANALYSIS OF VOICE CUES IN RECOGNITION OF SARCASM

2019 ◽  
Vol 12 ◽  
Author(s):  
Basavaraj N Hiremath ◽  
Malini M Patilb
Keyword(s):  
Feature Extraction ◽  
Computer Program ◽  
Principle Component Analysis ◽  
Voice Recognition ◽  
Component Analysis ◽  
Recognition System ◽  
Principle Component ◽  
Whole Process ◽  
The Voice

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.

Four challenges for cognitive neuroscience and the cortico-hippocampal division of memory

2003 ◽  
Vol 26 (6) ◽  
pp. 681-682
Author(s):  
Harry Howard
Keyword(s):  
Independent Component Analysis ◽  
Recent Work ◽  
Cognitive Neuroscience ◽  
Principle Component Analysis ◽  
Pattern Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Principle Component ◽  
Complementary Methods ◽  
Current State

Jackendoff's criticisms of the current state of theorization in cognitive neuroscience are defused by recent work on the computational complementarity of the hippocampus and neocortex. Such considerations lead to a grounding of Jackendoff's processing model in the complementary methods of pattern analysis effected by independent component analysis (ICA) and principle component analysis (PCA).

scholarly journals Leaf compatible “eco-friendly” temperature sensor clip for high density monitoring wireless networks

2017 ◽  
Vol 4 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Valeria Palazzari ◽  
Paolo Mezzanotte ◽  
Federico Alimenti ◽  
Francesco Fratini ◽  
Giulia Orecchini ◽  
...  
Keyword(s):  
Decision Support ◽  
Water Stress ◽  
Temperature Sensor ◽  
Irrigation System ◽  
Fuel Oil ◽  
Plant Water ◽  
Temperature Differential ◽  
Water Pump ◽  
Plant Water Stress ◽  
System A

This paper describes the design, realization, and application of a custom temperature sensor devoted to the monitoring of the temperature differential between the leaf and the air. This difference is strictly related to the plant water stress and can be used as an input information for an intelligent and flexible irrigation system. A wireless temperature sensor network can be thought as a decision support system used to start irrigation when effectively needed by the cultivation, thus saving water, pump fuel oil, and preventing plant illness caused by over-watering.

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