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Harries and Ritchie [11] measured vertical temperature profiles in mine waste dumps and used the data to calculate the heat flow and consequently the rate of pyrite oxidation in the laboratory.
These anaerobic biogeochemical processes in mine waste are poorly understood and reaction rate data are not available.
Data are from [27, 28].
Primarily cultivation techniques have been used to enumerate prokaryotes involved in oxidation and reduction processes in sulfidic mine waste dumps [10, 20, 30, 31].
The data show that Bacteria dominate over Archaea and Eukarya and that Acidithiobacillus is the most abundant Fe(II)+++ +++ +++++++ ++ Acidithiobacillus spp.

Also, for naturally ventilated buildings located in the tropical regions in Indonesia, Feriadi and Wong [7] gathered 525 sets of data through an extensive field survey.
The data analysis revealed that the PMV equation had predicted warmer thermal perception as compared to what people actually felt.
The dataset consists of 30,000 buildings (10,000 office buildings for each of the three major climatic zones) with their detailed constructional and operational data and of their simulation outputs.
With a suitable scheme of neutral temperature and comfort air speed, reduction of energy consumption of the central chiller plant may surpass the additional energy requirement of the air side equipment, then both energy saving and thermal comfort can be achieved for the entire air-conditioning system.
Table 3 lists the percentage reductions of the primary energy demand achievable with a dual set point with dead band with reference to the three single set point PMV=0, PMV = +0.5, PMV= –0.5.

To achieve the presented objective seems to be possible by the application of data mining techniques as well as by the use of instance-based information processing, the new methodology suggested by the authors and related to the reuse of saved data.
Methodology Data mining methods of rule induction allow to build intelligent systems for decision support.
The algorithms are based on static sets of data that represent a set of observations or objects.
A small collection of data on production processes divided into different phases was gathered.
Efficiency of the projected advisory system is related to the amount of available data, what is characteristic for systems basing of past data processing e.g. systems with applied Case-base reasoning paradigm [10-12].

Experimental data show that a gallon of gas burned produces about 20 pounds of CO2.
Firsthand preliminary data were obtained.
For the convenience of using filed data, discrete form based on average numbers may be used,
Firsthand field data, such as vibration, noise, and environmental impact, can be obtained.
Those data are expected to lead to further insights of the relevant applications.

New features and functions of WSNs, such as in-network data reduction, multimedia streaming, etc.
At the same time, gateway has an embedded database to store data received from WSN sink node which makes data management easy.
Software structure of gateway 1) Data and command receiving.
The data packet received from sink node through USB communication includes TinyOS header, XMesh header, XSensor header, data and CRC.
A child process communicates with a client, reading and writing data.

This paper based on An office building in Dongying, uses Monitoring data to analyze, in order to gain an applicable Risk Management Practice.
l Monitoring data and analysis.
Data abnormality on June 15, and sharp data increase on June 19 and 21 Fig. 2 Displacement Increases on # 1 Point from June 12 to 21 l Alarming and Activating Contingency Plan.
In term of the risk analysis of deep foundation pit engineering, the analysis methods that are purely established on the statistical data are not feasible currently.
The system of monitoring data processing and predicting and alarm of deep pit engineering[J].

Copper/aluminium bi-metal laminates were prepared by roll bonding at 430 o C with a 40% rolling reduction in a single pass.
Experimental Procedure Metal laminates of copper and aluminium of initial thickness of 2.0 and 1.6 mm respectively were produced by roll bonding at 430 o C with a 40% rolling reduction in a single pass.
Once an x-ray map has been collected, a number of analytical softwares can be used to process the data and create scatter diagrams to determine the phases and the related characteristics of the material.
With the data from the composition profiles, scatter diagrams were created and a phase analysis was performed using x-ray mapping to determine i) the phases present, ii) the composition of the phases and iii) the location of these phases in the interfacial area of the metal laminate.
With the data from the interfacial composition profiles, the movement of the Matano interface and the interdiffusion coefficients across the interfacial area of the metal laminates were determined.

In this situation, some enterprise energy conservation and emission reduction task become more difficult, the set of laws and regulations become more strictly.
As a large-scale and energy intensive industrial enterprise, it tries hard to hold the work of energy conservation and emission reduction, and to explore the production process low energy method.
The Compressed Air is Predicted By The Model of WNN At present people often exploit the neural network to predict the compressed air, but this paper used WNN to predict.With the historical data characteristics for an enterprise in August for a week of compressed air data as the predicted data, we can predict the compressed air, the methods are shown below: From the data of August,choosing seven days’data to as the input and output of the predicted model, first using the first six days of data as the training sample, the compressed air of every two days as the input vector, the compressed airt of the third day as the target vector, which can get three set of training samples, finally using the trained wavelet neural network to predict the compressed air of the seventh day.
Owing to the large data range in the predicted process, the neural network input and output data within a certain range, the bigger of the input data can also fell on the conversion of gradient is larger for neurons function , so can make the training speed is accelerated, therefore, to deal with input data normalization processing.
The prediction of WNN Table I Experimental Result Actual data 13554 7828 8268 7430 5298 3572 13338 17126 17754 18068 18248 18206 18082 17918 17814 17744 17976 17958 17736 17348 16968 17364 15526 13278 The predicted data of BP 13550 7551 8217 6515 5521 3137 13103 17004 17648 17687 17497 17646 17981 18045 17973 17805 18034 16809 17581 17425 17124 16587 15429 14122 Relative error of BP 0.03% 3.54% 0.62% 12.31% 4.21% 12.18% 1.76% 0.71% 0.60% 2.11% 4.12% 3.08% 0.56% 0.71% 0.89% 0.34% 0.32% 6.40% 0.87% 0.44% 0.92% 4.47% 0.62% 6.36% The predicted data of WNN 13713 7855 8666 6959 5950 3816 13203 17121 18006 18508 18520 18360 18292 18348 18225 17973 18151 18132 17852

Mechanical model A mechanical model was developed using the data from the simulations.
Fig. 3 Maximum diameter – height reduction (left) and force – height reduction (right) diagrams The variational parameters and the friction factors are not constant during the compression, they are calculated in each state of the compression.
Fig. 4 Variational parameters – height reduction (left) and friction factor – height reduction (right) diagrams The comparison between the plane strain compression test and the cylindrical upsetting test are shown in Fig. 5.

We find that the electrolyte cation (K+ ) undergoes sorption and desorption during the system's reduction and oxidation, respectively.
During reduction anion is expelled from the film.
While uptake of cations occurs during reduction, transference of anions/solvent molecules takes place during oxidation of the film.
All data were collected using an EG&G PAR 273 potentiostat connected to a personal computer.
These forms may explain the double oxidation and double reduction apparent from figure 1.