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The input and output data was from this report.
Table 1 is a summary of the raw material consumption contributions for the production of 1 kg of clinker as complied from the inventory data sheets.
The coal input data from the coal mill scale inventory and the coal consumption is 0.1460 ton standard coal per ton clinker.
Other pollutants including several kinds of heavy metal output data are from the report of the Beijing Environmental Protection Bureau.
Considering the formal fluctuations of emissions, some data are shown in min and max form.

Considering that data availability is a major concern and that data available is qualitative in nature, this paper proposes a set of indicators and a scoring system that can be used with a broad qualitative understanding of the sustainability attributes of the mini-grids.
The paper first presents the framework and the scoring system and applies this to the data gathered from the fieldwork in Kenya.
The framework has shortcomings especially when it comes to data collection as getting reliable data at installation level can be painstaking especially in remote areas.
The framework however relies on survey data from one country and this limits its generalizability.
Data for 15 mini-grids were used in this study to present an evaluation of their sustainability.

This helps not only to gain a deeper understanding of the process but also to interpret already gathered experimental data with better precision and, thus establishing a basis for further improvement and optimization of this fairly new process.
Consequently, this leads to a reduction of the used raw material and a reduction of weight.
The hardening curve is obtained by fitting data from the tensile test and extrapolating the curve after the necking point using Swift hardening extrapolation with material parameters K, and n.
Due to the higher stress superposition, the bending force reduction is significantly higher.
This result shows that the reduction of the section modulus, due to the necking, has an influence on the decreased bending force but it cannot explain the whole bending force reduction, which is about 65 % for the mentioned case.

With the data of Jiangmen as objective, this study investigates driving factors of Jiangmen’s CO2 emission using STIRPAT model that is effective in environment pressure studies.
Since carbon emission statistical data is deficient, the current carbon emission state of Jiangmen is mainly analyzed by the energy data in 2011 statistical yearbook.
Original data is in J unit.
To be consistent with statistical data, energy unit is converted into standard coal.
The STIRPAT model based on ridge regression The original data used in the calculation of each factor of Jiangmen are mostly derived from Jiangmen statistical yearbook over years.

Data are collected online during the test using a Distributed Control System (DCS) (Honeywell) and saved to a hard disk.
In the test, all gasification data were recorded in the DCS.
Characteristics of gas components in reduction zone.
We can obtained that CH4 in the reduction zone was generally between 4% and 10%.
Growth rate of three zones was obtained and shown in Table 2.Experimental data showed that, growth rate in oxidation zone and reduction zone was about 100 mm/h.

With the rapid development of the motion capture technology, MoCap data are constantly accumulated.
Above all, they are very robust to variations in the motion capture data stream.
Dimension reductionbasedmotion retrieval MoCap data are very high dimensional data both in the spatial domain and in the temporal domain.
SOM.Self-Organizing Map (SOM) is a kind of dimension reduction technique for the visualization of high-dimensional data.
PCA-based walking engine using motion capture data[C].

In noise reduction method studied in this paper the surrounding noise reduction unit was arranged into the voice sample unit.
After processing a voice signal after noise reduction was generated and flowed into post amplifier to amplify and output.
To acquire better noise reduction function gain of pre-amplifier is set to maximum while gain of post-amplifier is set to minimum.
Experiments on surrounding noise reduction To verify far field noise reduction effect of studied method, four contrast measurements were done.
According to item 7 in GBT 13504-1992 the data which is recorded by every listener were processed.

Introduction Rough set theory, initialized by Pawlak [1], has been conceived as a useful tool to conceptualize and analyze various types of data.
Various approaches using rough set theory have been proposed to discover decision rules from data sets taking the form of decision systems.
Interval-valued information systems are an important type of data tables.
In this section, we investigate attribute reduction approach about the δ+ lower and upper approximation reduction in DIIFDS.
Using the δ+ lower and upper discernibility function, all the simplest δ+ lower and upper approximation rules with respect to every object in DIIFDS can be draw. 4 Conclusion Interval dominance intuitionistic fuzzy decision systems are an important type of data tables, which are generalized models of symbol-valued decision systems.

The Preparation and Characterization of LiFe0.98Mn0.02PO4/C by Spray-drying and Low Temperature Reduction Route Jia-feng, ZHANG1, a, Bao ZHANG1,b , Xue-yi GUO1,c, He-zhang CHEN1,d, Jian-long WANG1, Chao SHEN1and Jun-chao ZHENG1 1School of Metallurgical Science and Engineering, Central South University, Changsha 410083, Hunan, China acsuzjf@163.com,bcsuzb@vip.163.com,cxyguo@mail.csu.edu.cn,dcsuzcl@163.com Keywords: LiFePO4/C, Mn doping, Spray-drying , Low temperature reduction Abstract: The LiFe0.98Mn0.02PO4/C was synthesized by spray-drying and low temperature reduction route using FePO4·2H2O as precursor, which was prepared by a simple co-precipitation method.
Except to enhance the conductivity and the mean operation voltage, a high capacity was also expected for the LiFePO4-based Li ion batteries. 2 Experimental The LiFe0.98Mn0.02PO4/C was synthesized by means of spray-drying and low temperature reduction route using FePO4·2H2O as precursor.
The data were collected in the range between 10 and 90° in steps of 8°/min.
Conclusions The LiFe0.98Mn0.02PO4/C composite was synthesized via spray-drying and low temperature reduction route using FePO4·2H2O as precursor.

Introduction Complex mechatronic products design is a typical knowledge-intensive process, design knowledge such as existing product information, data, principles, rules, and others in the process of design are constitute a complicated dynamic information system[1,2].
Design rules extraction mainly carried out from three aspects: data reduction, knowledge mining and rules extraction; (2) Ontology processing of design knowledge and task.
To obtain the push rule sets of design knowledge, select a set from the attribute reduction sets, and its equivalence class can be denoted as.
Yin, Approaches to knowledge reduction of covering decision systems based on information theory, Information Sciences, 179(2009)1694-1704
Zhang, Approaches to knowledge reduction based on variable precision rough set model, Information Sciences,159(2004)255-272