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Makespan reduction for aggregate schedule is finally performed if possible, by left shifting scheduled operations to their earliest start times.
Each job operation is indicated in the network by a horizontal line, with following data written above and below: operation label and planned duration in days (d); label of machine allocated to operation.
A unidirectional machine load leveling heuristic solves JSSP based on CPM data within two steps [5,8,9]: 1) Infinite machine loading; 2) Finite machine loading by leveling overloads in capacity demand.
Decision on load relocation is based at first on initial CPM data.
However, next decisions should rely on updated CPM data, which takes into account additional constraints introduced by operation load movement.

Power analyzer connected through the circuit and the disk array, and test data back to the test host.
Figure 6 Data transmission influence the energy consumption of the test results Test results show that the limit of the data transmission will affect the energy consumption of the switch, also increases with the increase in the amount of data transmission the power consumption of the switch, when the total amount of all data transmission proximity switch backplane bandwidth, it should be is its impact.
Test content for the establishment of the massive energy consumption model data support, is of great significance.
Energy reduction in consolidated servers through memory-aware virtual machine scheduling .
In Proceedings of the 2011 International Conference on Management of Data (SIGMOD ’11), pages 1101–1112, New York, NY, USA, 2011

., removal or reduction of Al content from the IGP, resulting in an improved refractoriness of the IGP.
The removal or the reduction of Al content, by incorporating it into the SiC lattice from the liquid composition, increases the refractoriness of the IGP [8,14].
Flexural strength data of some selected ceramics as a function of temperature up to 1600o C are shown in Fig. 9.
The strength of SCLu5 at 1600o C was ∼430 ± 100 MPa and the large scattering of the data indicates brittle fracture.
Excellent high temperature strength of the SiC ceramics was attributed to the crystallization of IGP and the introduction of Al into SiC (Fig. 5 and Fig. 6), i.e., the removal or the reduction of Al content from the grain boundary composition.

This paper is based on 30 ground source heat pump projects’ measured data which is comparative analyzed, using SPSS statistical software for modeling and find out several key independent variables that influence the system COP and the linear relationship between them.
Introduction With the further development of energy conservation and emissions reduction.
Fig. 2 Independent variable and dependent variable scatter plot 1 Fig. 3 Independent variable and dependent variable scatter plot 2 Data analysis and modeling Data analysis.
First of all, we should filter the project data then we left 21 projects.

This provided data in a scattering vector range of 0.02 Å-1All these data reductions and calibrations were performed using the Nika package within IGOR Pro software [14].
Secondly, all the precipitates are taken as MgZn2 with a mass density of 5.34 g/cm3, which is related to the scattering contrast of the data.
Jan Ilavsky for the discussions of SAXS data analysis, and thank Dr.
Ilavsky, Nika - software for 2D data reduction, J.

Using Patent Data to Explore Technology Trajectory and Trends of Shading Device Yu Ying Huanga, Yi Kai Juanb, Yeng Horng Perngc # 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan, aD9813002@mail.ntust.edu.tw, bRik@mail.ntust.edu.tw, cPerng@mail.ntust.edu.tw Keywords: Patent Analysis, Patent Citation Analysis, Social Network Analysis, Technology Diffusion, Shading device Abstract.
Transforming patent data to patent information for applications contributes to knowledge diffusion, promoting technological development and innovation.
A patent analysis comprises reading and selecting patent data extracted from a patent search, determining whether the patent is related to the research subject after multiple searches, deciding the content and sample size of the analysis based on a bibliometric analysis, and conducting a statistical analysis via a systematic method.
The purpose of this study was to analyze related citing applications and cited patent technologies using the citation data of the bibliographical information of USPTO, portrayed via the social network method and tracing the technology diffusion to identify the main path, which contributes to grasping the changes in the key technology.
Bettels, Patent citation analysis.A closer look at the basic input data from patent search reports.

The signal of the strain resulted from the blasting impact pressure is collect via strain gauge and magnified via signal tester, then recorded by parallel data acquisition card PCI 4712S and input to computer for data processing.
The dynamic stain test is carried out through resistance strain gauge, ultra-dynamic strain instrument SDY2107A, data acquisition card and desktop computer (Figures 4) strain gauge →dynamic strain instrument →data acquisition card →computer (a) (b) Fig. 4 Dynamic stain test 1. 4 Ultra-dynamic Strain Observation Result and Analysis The ultra-dynamic strain test is done under the same condition with varied charge structure on the directional pressure relief blasting of the cement mortar model (see to result table 1).
The model dynamic stress test is only serves to gain an approximate understanding of the stress fields distribution around the blast hole, under which, data simulation can be made to study and analyze the stress around the blast hole. 2.
Data Simulation 2. 1 Data Simulation Model Three dimensional numerical simulations are done on the test via ANSYS/LS-DYNA.
Table of Unit Pressure when in different bottom air column length Length of Bottom Air Column/mm Unit Number Unit Position Pressure/GPa Reduction Rate 5 18457 Counter Unilateral Protecting Wall 1.4 —— 16728 Unilateral Protecting Wall 0.7 50% 63046 Bottom Wall 2.3 -64% 10 19167 Counter Unilateral Protecting Wall 1.3 —— 17347 Unilateral Protecting Wall 0.72 45% 66099 Bottom Wall 1.3 0 15 20286 Counter Unilateral Protecting Wall 1.18 —— 18284 Unilateral Protecting Wall 0.77 35% 71901 Bottom Wall 0.77 35% Fig.  14.

Table 1 The rolling strength parameters testing data of R1 mill of WuGang No.2 hot strip rolling mill Billet number Billet size(mm) material reduction rolling force (t) Upper torque (KN-M) Lower torque (KN-M) Mean ratio of upper and lower torque (thick*width*length) 　 mm maximum value mean value maximum value mean value maximum value mean value Mupper / Mlower 1 230*1400*9100 St12 38.5 1802 1765 1519 1099 2042 1151 0.95 2 1699 1644 1650 1032 1778 1052 0.98 3 1867 1733 1675 1088 2143 1185 0.92 4 1758 1676 1512 1062 1816 1035 1.03 5 230*1550*9950 A 26.6 1759 1694 1137 826 1284 983 0.84 6 1648 1593 1153 754 1190 923 0.82 7 230*1650*7600 SPHT2 25.8 1883 1762 1213 889 1224 881 1.01 8 230*1650*7800 1697 1645 1122 811 1159 890 0.91 9 230*1550*9950 A 25.9 1799 1765 1408 898 1397 1031 0.87 10 1794 1716 1343 814 1174 985 0.83 The establishment of finite element model MARC Analysis Research Corporation (referred to as MARC) was founded in 1967 and headquartered in California, Palo Alto, is the
Thus, under the condition of positive pressure approximately equal, the positive pressure on lower contact arc will produce a greater reduction to the material of deformation zone, that is the reduction of fast rolling will be greater than the reduction of slow rolling when asynchronous hot rolling.

Quality of the product and reduction of production costs are key goals aimed by European industry in order to compete in the market. [8], [9], [12] Companies and universities receive funding that allows them to complete collaborative projects in which the practical knowledge of industry and research capabilities of research centers merge for producing relevant solutions that result in competitiveness increase of Europe.
IFaCOM is a project where companies and universities from five European countries collaborate for finding ZDM solutions that will allow European manufacturing industry produce high quality products with a significant reduction of costs due to rework and scrap of defective products.
Zero Defect Manufacturing Reduction of costs of manufacturing high quality products is in constant search by industry.
Intelligent use of sensors, efficient processing and understanding of collected data, real time control of machines and robotic automation are part of the technological aspects that are used for gaining knowledge of the process, control the status of the operations, prediction of possible process malfunctions and correction of the process before defects in the product occur.
It is also important to divide the difference between fault, damage and defect of material quality parameters and design. [14] • Fault is a structural problem, a change in the system that produces an unacceptable reduction of quality

Table 1 Main Technical Parameters Items Data Area of heat-supply service(104m2) 1000 Flow of heating network water (t/h) 9335 Flow velocity (m/s) 2.5 Heating index (W•m2) 54.28 Total heating load (MW) 542.8 Turbine maximum steam extraction quantity (t/h) 760 Total flow of the waste heat water in heat pump (t/h) 15000 Inlet temperature of the heat pump heating network water (℃) 60 Outlet temperature of the heat pump heating network water (℃) 90 Heat pump COP 1.667 Steam extraction quantity needed in heat pump (t/h) 250.8 Heat pump total load (MW) 325.68 Condensate temperature(℃) 87 Energy Saving and Environmental Benefits.
So the reduction of CO2 emissions is T*a, and the reduction of SO2 emissions is T*b.
Table 2 Computed Result Items Calculated Value area of heat-supply service (104m2) 1000 recovery quantity of waste heat (MW) 130.27 coal equivalent savings (104t) 6.95 reduction of CO2 emissions (104t) 19.42 reduction of SO2 emissions (104t) 0.17 Water savings (104t) 79.84 Economic Analysis.