One of the key concepts in quantum information theory and quantum computing is the study of quantum correlations. Other factors aside, the effect of decoherence on the quantum correlations is very important. In this paper, dynamics of super-quantum discord in Heisenberg model with Dzyaloshinskii-Moriya interaction and the influence of environmental decoherence by taking Lyndblad equation will be studied. We consider Werner state as the initial state of the system. By calculating the time evolution of the system, we figure out the influence of mixture degree r on the dynamics such as super quantum discord, quantum discord and concurrence. A remarkable result is that when the initial state is Bell state the concurrence decay from 1 to a minimum value is close to 0 but the super-quantum discord and quantum discord vanish. This is contrary to recent results obtained. The effect of coupling between the quantum system and environment on superquantum discord was investigated based on interaction parameters. The results showed that the magnitude of Dzyaloshinskii-Moriya interaction that represents the interaction of spin-orbit interaction has played a significant role in the amount of super quantum discord.

Quality control is an important thing that must be done by the company to minimize defective products. The company can analyze product defects by using the Six Sigma method, by formulating Define, Measure, Analyze, Improve, and Control (DMAIC) that occurs. PT. XYZ as a large company that prints magazines often faces the problem of quality defects in its printouts, resulting in the cost losses due to production defects every year is not small, as a result of not being sold. The Six Sigma method is an approach method to help control the quality of production. This study conducts to determine the level of sigma from the current production process, the types of defects that are a priority to be addressed, and the causes of disability. From the results of the study, the sigma value of current production is 3. 6 or DPMO of 15919. 63613. The type of defect that occurs is blurred by 59%, does not register at 29% and paper cut by 12%. To achieve Six Sigma it is necessary to take corrective steps using the results of the analysis.

In this article, I examine Fodor's modal argument for individualism and for narrow content. Fodor's modal argument wants to show that my twin-earth and I have thoughts with the very same causal powers; XYZ-thoughts and water-thoughts are not different causal powers with respect to water- behaviors and XYZ-behaviors. If this is so, Fodor argues, then my twin and I do not differ in any psychological state, and individualism is true. Fodor examine his argument by “no-conceptual-connection test” or “New Logical Connections Argument”. Therefore To see whether causal powers are the different, there must be the no-conceptual connections between cause-properties and effect-properties. Fodor argues that the difference between my water-thoughts causing his intentional water-drinking behavior and my twin's XYZ-thoughts causing his XYZ-drinking is a conceptual difference. Hence, the water/XYZ thoughts are not different causal powers. finally, I show that Fodor’s version of the New Logical Connections argument or Fodor’s no-conceptual-connection test don’t work. If this is so, Then Fodor's defense of narrow content and individualism does not sufficient.

Inventory management plays a vital role in attaining the desired service level and prevents excess capital from being tied up in the form of dead stock. This paper presents a framework to effectively determine the items subject to obsolescence in an automotive spare parts warehouse. The inventory management techniques are applied to minimize the costs and a framework is proposed based on ABC-XYZ and FSN analysis to prioritize the spare parts based on their criticality. Further, the importance of items in the warehouse is carried out to eliminate the dead stock. The ABC classification findings reveal that A-class items accounted for 10.39% and hold the highest inventory value grouping. XYZ classification concludes that much priority should be given to the management of 52.7% of items under the Z category as the demand trend of these items is highly fluctuating. The N category items have no demand in recent times and need immediate attention, thereby preventing further unnecessary procurement. Thus, based on the ABC-XYZ and FSN analysis, the non-critical items, i.e., the non-moving items having fluctuating demand, are sorted out.

A condition that must be satisfied for digital printers in a color management system is converting device-dependent color values into device-independent color values by a transfer model of high-quality performance. Usually, each transfer model is initially trained with some specified samples as a training set before being tested. In the present study, color charts with different quantities of color patches in an RGB space were selected and printed as training groups. The spectral reflectances of all samples in printed color charts were measured and converted to an XYZ color space under a standard observer/illuminant combination. Using a matrix method, the RGB to XYZ transformation matrices were obtained with the algebraic operation of different degrees of polynomials and the least-square errors for the training groups. Similar operations were also performed for the well-known ProfileMaker software, which is based on a look-up table method. Finally, the statistical values of color difference (DE2000) were calculated between the actual XYZ from the printed color charts, the predicted XYZ from the matrix method, and those predicted from the ProfileMaker software. The ProfileMaker software showed a significantly lower color difference near the perception threshold for the specified training samples.

In this study, colorimetric calibration of scanner has been done via perceptron neural network with three or jour layers by back propagation algorithm for colored polyester fabrics. The results obtained for random training samples are not satisfactory but application of selective training samples for L*a*b* or RGB leads to good results, with better results obtained for the L* a* b* method On the other hand, the color differences between calculation XYZ and real XYZ for unknown samples, are not only in agreement with the results of polynomials and regression methods, but are also better than the results obtained in previous studies where neural network had been used for colorimetric calibration of scanner.`