Data-Conditioning in the Optimization of Function-Generating Linkages

1993 ◽  
Author(s):  
Zheng Liu ◽  
Jorge Angeles
Keyword(s):  
Condition Number ◽  
Optimization Procedure ◽  
Input Output ◽  
Output Data ◽  
Input And Output ◽  
Data Points ◽  
Data Conditioning ◽  
Ill Conditioning ◽  
Selection Of

Abstract Rank-deficiencies and ill-conditioning of the synthesis matrix in the optimization of function-generating linkages are often caused by an improper selection of the input-output data points given by the {ψi,ϕi}1m pairs, where ψ and ϕ denote the input and output values, respectively. Ten basic cases of rank-deficiencies in the synthesis matrix are discussed in this paper, the associated curves, termed singularity curves, being plotted in the ψ-ϕ plane. Measures to remedy the ill-conditioning that arises in the optimization procedure and means to find the best-conditioned synthesis matrices by minimizing their condition number are also proposed.

Input Vector Identification and System Model Construction by Average Mutual Information

2000 ◽  
Author(s):  
Paul B. Deignan ◽  
Peter H. Meckl ◽  
Matthew A. Franchek ◽  
Salim A. Jaliwala ◽  
George G. Zhu
Keyword(s):  
Mutual Information ◽  
System Model ◽  
Input Output ◽  
Output Data ◽  
Average Mutual Information ◽  
Virtual Sensors ◽  
Input Signals ◽  
Model Independent ◽  
Intelligent Model ◽  
Selection Of

Abstract A methodology for the intelligent, model-independent selection of an appropriate set of input signals for the system identification of an unknown process is demonstrated. In modeling this process, it is shown that the terms of a simple nonlinear polynomial model may also be determined through the analysis of the average mutual information between inputs and the output. Average mutual information can be thought of as a nonlinear correlation coefficient and can be calculated from input/output data alone. The methodology described here is especially applicable to the development of virtual sensors.

Modeling and Analysis of Genetic Algorithms Based on the Viewpoint of Mixture Systems

2003 ◽  
Vol 7 (3) ◽  
pp. 268-275
Author(s):  
Jun-ichi Imai ◽  
◽  
Hiroyuki Shioya ◽  
Masahito Kurihara ◽  
Keyword(s):  
Genetic Algorithms ◽  
Mixture Models ◽  
Information Source ◽  
Point Of View ◽  
Input Output ◽  
Output Data ◽  
Modeling And Analysis ◽  
Input And Output ◽  
Partial Systems ◽  
Theoretical Analyses

Some mathematical models have been proposed for theoretical analyses of genetic algorithms (GAs). However, these works have limited their objects to a few kinds of GAs in order to formulate them accurately. In this paper, we regard a GA as an information source that generates input-output data. That is, we regard a population and its next population generated by the GA as input and output respectively. Then we model the GA by learning from these data. Since this method uses only the input-output relations of data and ignores interior structures, we can describe a variety of GAs in a common form, and analyze them from a new point of view. We use some mixture models for a representation of these input-output relations in this paper. By using a mixture model for modeling a GA, we can represent the GA system as a combination of some partial systems. In this paper, we treat two types of mixture models, and investigate how these models are effective for analyzing GAs through some numerical experiments.

scholarly journals Point Of Sales (POS) Application On Clients of PT. Esensi Solusi Buana

CCIT Journal ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 48-56
Author(s):  
Ria Wulandari ◽  
Siti Maesaroh ◽  
Erwansyah Erwansyah
Keyword(s):  
Operating System ◽  
Data Collection ◽  
Input Output ◽  
Output Data ◽  
Report Generation ◽  
Data Archiving ◽  
Transaction Data ◽  
Traditional System ◽  
Input And Output ◽  
A Company

Point of Sales application is a system used for transaction data into the database both by input and output, so that there are no errors in input, output data, and report generation based on the corresponding data, thus it can produce accurate output data. PT Esensi Solusi Buana is a company engaged in the field of technology and information. Based on surveys and interviews with clients of PT Esensi Solusi Buana, it is obtained the information about the operating system that is still manual and less than optimal.This causes frequent errors in recording sales transaction data, archiving that still uses the traditional system, as well as access to obtain information about the transaction history that requires a lot of time. Therefore, the system to be made is an improvement of the system that was previously made for the clients of PT Esensi Solusi Buana. It is expected that with this system, it can minimize errors that may occur. This system is also expected to be able to improve the process of input, output, and report generation, which in turn can help data collection of sales transactions on the clients of PT Esensi Solusi Buana

scholarly journals SLOVAKIA AND AUSTRIA – A COMPARISON OF AGRICULTURE AND FOOD SECTORS

2019 ◽  
Vol 2 (1) ◽  
pp. 12-19
Author(s):  
Ľudmila Bartóková
Keyword(s):  
Structural Changes ◽  
Input Output ◽  
Food Sector ◽  
Output Data ◽  
Input And Output ◽  
Agriculture And Food ◽  
Key Industries ◽  
Backward And Forward Linkages ◽  
Basic Input

Input-output tables with input-output data represent a relatively simple but useful tool to analyze the structure of the economy or undergoing structural changes. These tables enable to quantify direct and indirect linkages within each economy, as well as to study demand or supply relationships between particular sectors. The aim of this paper is to present and compare the main characteristics of 2 selected sectors for Slovakia and Austria. The focus is on the agriculture and food sector and their characteristics using the input output data and analysis. We compared basic input and output multipliers in order to verify the similarities in the position and the development of these sectors in selected countries. Other objectives were analysis of sectors’ backward and forward linkages, “measuring” of their strengths, the identification of key industries and concentration of their impacts. With accordance to our previous research and general trends, we expected a certain decline of importance over the analyzed period of 2000-2014.

scholarly journals The selection of interval boundaries of input and output data method for obtaining complete probabilistic characteristics

2017 ◽  
Vol 141 ◽  
pp. 01037 ◽  
Author(s):  
Yuly Bay ◽  
Anatoliy Shmoilov ◽  
Alexander Gusev ◽  
Igor Razzhivin
Keyword(s):  
Output Data ◽  
Input And Output ◽  
Selection Of
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