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The experiment and simulation testify the relation between intelligent monitoring and logistics income, which provides theoretic foundation for solving the logistics dispatching paths selection problem. 1 Introduction With the rapid development of the social economic, the impacts of appropriate management in logistics industry on enterprise profits increase, operation cost reduction and financial income increase become more obvious which is the third profit source for enterprise[1][2].
Because these 8 customers are distributed in different areas, the contents of the data are the materials volumes, the distance among customers and the distance among customers and the materials.
The data of the demanded materials volumes, the distances among customers and the distance among customers and distribution centers are shown in table 1.
Table 1 Data of the relation between materials distribution volume and distances among customers distribution volume 0.9 12 1.3 10 5 1 9 10 9 0.8 6 20 10 13 1.6 8 18 17 14 6 0.8 6 13 10 15 13 8 1.4 10 8 13 16 14 13 6 0.6 8 5 9 8 9 12 9 4 First, the location of the customers are neglected, the enterprise will choose most economic monitoring equipment to monitor the materials under normal situations.
According to the data in above table, the relations among the intelligent monitoring equipment and customers are as follows.

The collected data allowed to identify how the different lubrication conditions affect the final workpiece geometry.
Principal advantages of this technology are the tooling costs and assembly parts reduction, the part mechanical properties, the weight and dimensional accuracy improvement [1-3].
A system, based on load cells and a data acquisition system, measures the compression load (F) and the friction force (T).
The figure shows a linear dependency under the condition that the R 2 value derives form a high data scattering which increases as the friction coefficient value decreases.
Booser: Tribology data handbook (CRC Press, New York).

Reduction of Free Fatty Acid in Low Free Fatty Acid of Mixed Crude Palm Oil (LMCPO): Optimization of Esterification Parameters Jarernporn Thawornprasert1,a, Wiriya Duangsuwan2,b and Krit Somnuk1,c* 1Department of Mechanical Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand 2Department of Industrial Biotechnology, Faculty of Agro-Industry, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand athawornprasert.j@gmail.com, bwiriya.d@psu.ac.th, ckrit.s@psu.ac.th Keywords: mixed crude palm oil, esterification, vacuum refining process, free fatty acid.
The optimal condition of various parameters effecting in the FFA reduction from LMCPO was optimized using the solver function in Microsoft Excel.
Babalola: Response Surface Methodology and Artificial Neural Network Analysis of Crude Palm Kernel Oil Biodiesel Production, Chemical Data Collections (2020), p. 100478

Reduction of emissions released into the atmosphere and reduction of air pollution impact on the Earth surface occurs due to development of new methods and technologies in the industry and legislation.
The data measured by automated monitoring station Oslany provided the company Envitech Trenčín (operator of AMS).

The design and optimization of hypersonic aircraft is severely impacted by the high temperatures encountered during flight as they can lead to high thermal stresses and a significant reduction in material strength and stiffness.
This reduction in rigidity of the structure requires innovative structural concepts and a stronger focus on aerothermoelastic deformations in the early design and optimization phase of the design cycle.
Current conceptual design tools that have been adopted into the design process of contemporary commercial aircraft make extensive use of handbook methods based on semi-empirical theory and data.

Image classification of remote sensing data is an important topic and long-term tasks in applications [1].
When it is 0.5, the classification accuracy reaches maximum with the best classification result for study area of Dali Erhai Lake basin using landsat TM data. (2) Bayesian MRF model have obvious advantages in classification for neighbourhood pixels so that it can separate Shadow class from Water class because the Shadow in mountain areas is very similar to Water in spectrum.
Thirdly, we apply Bayesian MRF model for classification in about 80 square kilometers area including Xiaguan town and part of Dali Erhai Lake in Yunnan province, South West of China using Landsat TM data, which is performed by ten different clique potential parameters from -0.5 to 5.
Bigger parameters show reductions of details in classification results, see Fig.2 (a) (b) and (c).
When it is 0.5, the classification accuracy reaches maximum with the best classification results for about 80 km2 study area in Dali Erhai Lake basin using landsat TM data. (2) Bayesian MRF model have more advantages in the classification for neighbourhood pixels so that it can separate shadow class from water class when the Shadow in forest land is very similar to Water in spectrum.

For such a complex problem (three different panels, made of different materials, each one with a variable thickness and connected by numerous rivets), experimental crack propagation data were available for the numerical-experimental comparison.
In order to develop an effective riveted reinforcement methodology, it is important to be able to accurately determine the complex stress fields created by the doublers as well as the resulting reduction in the stress intensity factors (SIFs) of a crack on the skin.
The initial crack length considered is 9.5 mm for both the skin and the alluminium doubler, even if the experimental data available start with a crack length equal to 3.25 mm: the reason is that for short cracks the secondary bending effects are non negligible and, consequently, the propagation is better modelled with a three-dimensional analysis.

Experimental data on thickness, uniformity and chemical analysis of individual phases are obtained for as-coated specimens, for specimens exposed to 800 °C for 500 hours in air and for specimens fatigued to fracture at 800 °C in air.
Thus, to attain high coating resistance to oxidation, hot corrosion and erosion without the reduction of mechanical and fatigue properties, an optimum coating thickness has to be chosen.
The results are in agreement with published data [3, 4].

Lots of legislations have formulated to constrain this problem in many countries, however, most of them are worked out based on the analysis results and measured data from only single rail line.
Existing research results showed that it is enough to select the computation width as five times of tunnel diameter in the vibration direction, where the soil width at each side is two times of the tunnel diameter. as to the depth, the bedrock has a depth of 60m according to the geological data.
Vibration reduction by vibration-proof mats in Tokyo subway.

The variation of Co atomic concentration with sputtering depth was calculated from the data of SAXPS depth profiling of the AD and LB samples ( see Fig. 4 for 8 at% Co).
The MR data have been analyzed considering that ∆R/R∝[M(H)] 2.
For samples with 8 % Co content, magnetoresistance data of as dep and LC samples are reported in Fig. 9 for Hmax = 50 kOe and for T = 10, 77, 300 K.
GMR data at 10 K and 300 K for all the laser energy fluences are reported in Fig. 10 (a) and (b), respectively.
The fitting of data to Eq. 2 is quite satisfactory, also in this case, allowing us to extract the parameters αbl and H0.