The Minisatellite Transformation Problem Revisited: A Run Length Encoded Approach

2004 ◽  
pp. 290-301 ◽  
Author(s):  
Behshad Behzadi ◽  
Jean-Marc Steyaert
Keyword(s):  
Run Length ◽  
Transformation Problem

Kritik der Politischen Ökonomie im 21. Jahrhundert.

2017 ◽  
Vol 47 (188) ◽  
pp. 453-470 ◽  
Author(s):  
Hans-Peter Büttner
Keyword(s):  
Political Economy ◽  
Critical Theory ◽  
Scientific Community ◽  
New World ◽  
Neoclassical Economics ◽  
Price Theory ◽  
Transformation Problem ◽  
Iron Cage ◽  
Analytical Tools

While the majority of the scientific community holds Marxian Value and Price Theory to be internally inconsistent because of the so-called “transformation problem”, these claims can be sufficiently refuted. The key to the solution of the “transformation problem” is quite simple, so this contribution, because it requires the rejection of simultanism and physicalism, which represent the genuine method of neoclassical economics, a method that is completely incompatible with Marxian Critique of Political Economy. Outside of the iron cage of neoclassical equilibrium economics, Marxian ‘Capital’ can be reconstructed without neoclassical “pathologies” and offers us a whole new world of analytical tools for a critical theory of capitalist societies and its dynamics.

Marx and the “law of value”: Critical appraisal on the occasion of his 200th birth anniversary

2018 ◽  
pp. 27-49 ◽  
Author(s):  
H. D. Kurz
Keyword(s):  
Karl Marx ◽  
Critical Appraisal ◽  
Critical Discussion ◽  
Use Value ◽  
Transformation Problem ◽  
The Common ◽  
The Law

The paper celebrates Karl Marx’ 200th birthday in terms of a critical discussion of the “law of value” and the idea that “abstract labour”, and not any use value, is the common third of any two commodities that exchange for one another in a given proportion. It is argued that this view is difficult to sustain. It is also the source of the wretched and unnecessary “transformation problem”. Ironically, as Piero Sraffa has shown, prices of production and the general rate of profits are fully determined in terms of the same set of data from which Marx started his analysis.

Characterization of Pancreas at Diabetic Patients in CT images using Texture Analysis

2017 ◽  
Vol 7 (7) ◽  
pp. 8
Author(s):  
Mona E. Elbashier ◽  
Suhaib Alameen ◽  
Caroline Edward Ayad ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Size Distribution ◽  
Texture Analysis ◽  
Classification Accuracy ◽  
Ct Images ◽  
Diabetic Patients ◽  
Gray Level ◽  
Grey Level ◽  
Run Length ◽  
Interactive Data

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and  features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.

Line interpolation algorithm based on diagonal run-length

2009 ◽  
Vol 28 (9) ◽  
pp. 2270-2273
Author(s):  
Xiao-tong YE ◽  
Yun DENG
Keyword(s):  
Interpolation Algorithm ◽  
Run Length

scholarly journals Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data

Axioms ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 154
Author(s):  
Anderson Fonseca ◽  
Paulo Henrique Ferreira ◽  
Diego Carvalho do Nascimento ◽  
Rosemeire Fiaccone ◽  
Christopher Ulloa-Correa ◽  
...  
Keyword(s):  
Control Chart ◽  
Average Run Length ◽  
Atacama Desert ◽  
Real Data ◽  
Interval Data ◽  
Total Quality ◽  
Statistical Process ◽  
Monte Carlo Simulation Study ◽  
Run Length ◽  
Study Results

Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of large numbers, and brings limitations towards truncated processes as open questions in this field. This work was motivated by the register of elements related to the water particles monitoring (relative humidity), an important source of moisture for the Copiapó watershed, and the Atacama region of Chile (the Atacama Desert), and presenting high asymmetry for rates and proportions data. This paper proposes a new control chart for interval data about rates and proportions (symbolic interval data) when they are not results of a Bernoulli process. The unit-Lindley distribution has many interesting properties, such as having only one parameter, from which we develop the unit-Lindley chart for both classical and symbolic data. The performance of the proposed control chart is analyzed using the average run length (ARL), median run length (MRL), and standard deviation of the run length (SDRL) metrics calculated through an extensive Monte Carlo simulation study. Results from the real data applications reveal the tool’s potential to be adopted to estimate the control limits in a Statistical Process Control (SPC) framework.

Sign in / Sign up

Export Citation Format

Share Document