scholarly journals Formation of Part Family in Reconfigurable Manufacturing System using Principle Component Analysis and K-Means Algorithm

2012 ◽  
pp. 0887-0892
Author(s):  
Ashutosh Gupta ◽  
Promod Kumar Jain ◽  
Dinesh Kumar
Keyword(s):  
Principle Component Analysis ◽  
Manufacturing System ◽  
Component Analysis ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Part Family ◽  
Principle Component

Optimal Reconfiguration Path Decision Method for One RMT System

2019 ◽  
Author(s):  
Sihan Huang ◽  
Cong Zeng ◽  
Guoxin Wang ◽  
Yan Yan
Keyword(s):  
Machine Tools ◽  
Manufacturing System ◽  
Search Algorithm ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Part Family ◽  
Decision Method ◽  
Optimal Reconfiguration ◽  
Specific Part

Abstract Reconfigurable manufacturing system (RMS) is designed around a specific part family. Reconfigurable machine tools (RMT) is the core facility of RMS. One RMT system is an RMS consisting of only one RMT. So, the RMT of one RMT system is designed for a specific part family, which integrates the characteristics of RMS and RMT. The reconfiguration path problem of one RMT system is an urgent problem to be solved. Therefore, an optimal reconfiguration path decision method for one RMT system is proposed in this paper. The objective is to produce the entire part family at the minimum reconfiguration effort. Reconfiguration time is adopted as the characteristic value of reconfiguration effort in this paper. The Tabu Search algorithm (TS) is used to solve this problem due to its excellent search ability. Process rule is considered during computation to obtained reasonable solution. A case study is given to implement the proposed method. The result shows that the proposed method can produce an optimal reconfiguration path for one RMT system satisfying the process rule.

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.

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