An Empirical Study on Extended Producer Responsibility in Auto-Manufacturing Industry

2011 ◽  
Vol 225-226 ◽  
pp. 57-60
Author(s):  
Yi Wu ◽  
Xiao Han Hu ◽  
Jing Nie
Keyword(s):  
Empirical Study ◽  
Principle Component Analysis ◽  
Questionnaire Survey ◽  
Manufacturing Industry ◽  
Component Analysis ◽  
Extended Producer Responsibility ◽  
Principle Component ◽  
Producer Responsibility ◽  
Managerial System

Extended producer responsibility has become an important managerial system to dematerialize our economy. This paper aims to verify the five promotional factors of extended producer responsibility, and to investigate its applicability in the auto-manufacturing industry. A questionnaire survey has been conducted in the auto-maufacturing industry, followed by principle component analysis and description analysis of the data collected. As a result, five promotional factors have been verified and auto-manufacturing industry is proved a promising industry in terms of EPR implementation. Future strategies are put forward based on the promotional factors.

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).

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