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Production of Al–Si Alloys by the Direct Silicon Reduction from the Amorphous Microsilica M.P.
Thermodynamic possibility of silicon dioxide reduction in aluminum melt has been determined.
The value of Gibbs free energy in the test temperature range was calculated with a step of 100 K on the basis of published data [5–8].
This indicates firstly to the possibility of recovering amorphous silica at temperatures above that for aluminum melting and, secondly, to the intensity reduction of occurrence of this process with a subsequent increase in temperature.
Acceleration of reduction of silicon from its oxide was ensured by the introduction of silica particles together with the flow of argon and their subsequent intensive mixing.

The final direct to DDS simulation results and the overall DDS platform oscilloscope experimental data, verify the correctness of the design of DDS with the two data.
Shown in Figure 1, its main parts: the phase accumulator (to produce the output waveform phase angle data), relative to digital converter, (above the phase data is converted to the instantaneous output amplitude data), and digital-to-analog converter (DAC) (the magnitude of data into a sampled analog data points)[5].
It contains two ROM as sine wave table ROM and square wave table ROM. data width of the two ROM are 14 bits, and the data depth is 214, the data of the wave table ROM was Provided by Memory Initialization File. .
ROM data is a 14-bit signed number, amplitude keyword is also a 14-bit signed number,。
Last retain the previous 14 bit as output result. when it was Outputed, because the digital representation of the symbolic, you can flip the highest sign bit, unified data raised to above zero and expressed as an unsigned data.

The study examines IoT's function in quality control and monitoring, highlighting how IoT-enabled sensors and cameras support waste reduction, real-time quality evaluation, and defect reduction.
The function of real-time data from sensors is to continuously supply data on the operation of equipment in real time.
IoT makes it possible to instantly verify product quality through data analysis, guaranteeing that the items fulfill requirements and facilitating prompt manufacturing adjustments. 2.4.4 Defect reduction in manufacturing processes.
Industry 4.0's heavy reliance on data raises questions regarding ethical and privacy usage.
Internet of Things for Industrial Automation -- Challenges and Technical Solutions. 2015 IEEE International Conference on Data Science and Data Intensive Systems

The system which adopted Delphi dynamic data binding technology and used Access as database was developed by Delphi7.0 visual tools.
According to the measured data in document[6], the initial proposal value for the settlement trough width parameter caused by underground excavation in parts of China was summarized and proposed.
Based on the model establishment and dynamic data binding used in Delphi technique, the visual operation results can be demonstrated to after obtaining the basic data.
Data Lots of date binding control is used in the system to realize the rapid data updates.
According to the basic properties of the region, building and distance reduction factor, the reduction factor values H and S is inputted into the system to calculate the extent of damage classification.

Cement Hydration Kinetics Research Based on Center- particles Hydration Model Wu Lang1, a, Yan Bing1,b and Lei Bin2,c 1College of Civil Engineering, Jiangxi Science and Technology Normal University, Nanchang 330013, China 2College of Civil Engineering, Nanchang Institure of Technology, Nanchang 330044, China awulang19812005@126.com, b ybjxnc@163.com, cBinglle@163.com Keywords: cement hydration; kinetics; hydration rate Abstract: Based on the center-particles hydration dynamic model proposed by Park, a micro-structural hydration model of Portland cement that was built considering the decrease of the hydration rate due to the reduction of free water and the reduction of the interfacial area of contact between the free water and the hydration products.
Based on the center-particles hydration dynamic model proposed by Park, a micro-structural hydration model of Portland cement was built considering that the decrease of the hydration rate due to the reduction of free water and the reduction of the interfacial area of contact between the free water and the hydration products.
Examples For the sake of verifying the accuracy of the present model, the data of reference[11] is applied, the Bogue compositions of the cements investigated are listed in table 1.
Conclusions Based on the Park’s [8,9] hydration model, taking into account the reduction in the hydration rate that occurs due to the reduction of free water and the reduction of the interfacial area of contact between the free water and the hydration products, a hydration model is established.
(2) the inner and the outer C-S-H gel have many different, besides that we should consider the reduction of free water and the reduction of the interfacial area of contact between the free water and the hydration products.

The hardware consists of two linear and one rotary encoder, all sending the data to a counter/timer data acquisition board.
The goal of the work described in this paper was to develop a data acquisition system and the corresponding data processing software for measuring the standardised ship propeller’s parameters.
Data Processing Aligning the coordinates systems.
Scanned data processing.
Even if there are small chances for useful data to be gathered from small angular step measurements and one can think that these affected data may be ignored, further software developments will have to bring some improvements of this aspect for reducing void data propagation.

The results showed that the predicted data agreed well with the experimental stress-strain curves.
There have been many studies working on constitutive equation but the accuracy of the calculated data varied widely [3-6].
The data obtained from the tests were used to calculate the true stress-strain data.
The R-squares between fitted and experimental data are above 0.96.
The Figure 4a-d show the distinction between the calculated data and experimental data from the different tests at different temperatures and strain rates.

From these experimental data and taking into account the Arrhenius equation, the activation energy of the recrystallization process has been determined for each deformation rate.
The copper has been first industrially hot rolled and cold wire-drawn between ∆=51 and 94 % (reduction in the surface, diameter after reduction d=5.54 to 1.93 mm, true strain ε=0.73 to 2.84).
Fig. 3 Reaction advancement factor calculated from measurements of the diffracted intensity at the center of the {111} pole figure. a) Wire-drawn to 71 % reduction. b) Wire-drawn to 94 % reduction.
The fast decrease is rapidly slowed down at the highest level of reduction and value of Ea≈45 kJ/mol is reached for a reduction level equal and higher to 90 %.
Values around 45 kJ/mol are obtained at deformation level equal to and higher than 90 % reduction.

Introduction Manifold learning algorithms as another type of data dimensionality reduction method[1-3], the main function is used to solve the problem of non-linear data dimensionality reduction.
The advantages: from the local data on the characteristics of the construction, from the global mapping of data on [4-6].
LLE algorithm's core lies in high-dimensional reconstruction of data samples between the right calculations, through linear equations are constructed in a high-dimensional space between data reconstructed right, and in low-dimensional space to realize the right to maintain such a reconstruction between data dimensionality reduction [3].
For the same kind of data, maintaining a constant distance from the corresponding; For heterogeneous data, and appropriately increase their distance.
Angle-based outlier detection in high-dimensional data[C].

Efficient Moving Target Tracking algorithm: Design and implementation of the Sand-table tracking algorithm Jiaqi Li Macao university of science and technology ,Taipa, Macau Mail:908934586@qq.com Keywords: dynamic recognition, target tracking, image processing, dynamic noise reduction Abstract.
It is important to develop robust real-time video understanding techniques which can process the large amounts of data attainable.
Learning classification based on pattern identification A.K-Nearest Neighbor[ 7] B.Bayes Classifier[ 8] C.Principle Component Analysis[ 9] 　　2.a Work well on the training sample and target recognition 　　2.b Need a large database of sample to training 　　2.c less recognition error need large data .large data need large cost in operation 3.Recognize and tracking by model Pre-summarize the key point of the target with different methods ,then tracking it with the model.
(hard to carry and expensive) 5.c Need a large database to match the data between the special equipment and the normal camera 5.d Need a algorithm with high complexity and low compatibility Algorithm overview The current target tracking algorithm has disadvantages: 1 .Slow because of the recognition / background rebuild/FFT operation 2.
Each pixel simulate the hight of the sand-table .We do Growth and Linear reduction at same time to imitate the the process of falling.