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Online since: December 2014
Authors: Yu Zhang
This paper will make empirical research on the effects of environmental pollution control and reduction of taxation policy.
Advantage of the panel data model is using panel data to do more comprehensive economic analysis, and to improve the effectiveness of panel data estimation results.
2.2 Variable selection and data sources Given the availability and significance of the data, the paper selects the data from 29 provinces (autonomous regions and municipalities) excluding Tibet and Shanghai of the mainland of China in 2004 to 2012.
Data are derived from the relevant annual "China Environment Statistical Yearbook" and "China Statistical Yearbook" and the China Economic Information Network database.
Urban land use tax is negatively correlated with industrial sulfur dioxide emissions, and reduction effect is obvious.
Online since: May 2012
Authors: Fei Fei Zhang, Guo Liang Guo, Chun Shan Sun, Bao Zhu Liu, Zong Qi Liu
Solutions such as new energy and energy saving and emission reduction are presented[1-3].
This interface contains modules of work setup, warning indication and on-site data collection&displaying.
Fig. 1 Main interface Fig. 2 Parts of on-site data displaying Furthermore, interface of communication test, overhaul&debugging, process parameters and user management can also be entered through main interface.
• Bitwrite Function: BitWrite(char Name, long int Address, int Num, long int Data, int nPort, int stationnumber, int nBaud); 'Name' is component name, such as Y, M, S; 'Address' is component address; 'Num' is the number of bits which are written in one-time; 'Data' is data written in; the meaning of 'nPort', 'stationnumber', 'nBand' is same as the parameters above
• Bytewrite Function: ByteWrite(char Name[], long Address, long Data[], int Num, int nPort, int stationnumber, int nBaud); the meaning of parameters are same as bytewrite function's.
Online since: August 2013
Authors: Pavel Važan, Eduard Nemlaha, Matus Peci
Data Level Integration.
Data integration involves combining data from several disparate sources, which are stored using various technologies and give a unified view of the data.
Data integration is usually realized by solution ETL (Extract, Transform, Load) what means the creation of a single data source.
Data integration uses a data warehouse as a centralized storage, where the data are concentrated by ETL.
The main objectives of application integration are the removal of inconsistencies of data, removing duplicates application's functionality and it has a complete view of the data.
Online since: April 2009
Authors: Mark T. Smith, Philip S. Sklad, Joseph A. Carpenter, Dean M. Paxton
With the conclusion of the USDOE HighStrength Weight Reduction Materials (HSWRM) effort, which focused on applications in the heavy-duty vehicle industry, the materials research in this area is now simply known as Lightweighting Materials (LM).
Ferrous materials like the steels, for instance, are not low-density materials, but increasing their strengths leads to down-sizing of components and a net weight reduction.
The team has well exceeded the mass reduction target with respect to the Al version of the Ford 2.5 L Duratec engine shown in Figure 2a and expects to complete engine testing to validate the model and the alloy properties.
As result, the Ultra-Large Casting (ULC) project was launched to assess the manufacturing feasibility, economics and mass reduction potential of large, thin-wall structural castings of Al and Mg as applied to automotive weight reduction.
During the course of this project, methods and data to assist in the economical design of EMF sheet forming systems were evaluated including: materials information and design methods for durable coils, coil durability test data for selected materials and design concepts, dynamic and hybrid formability data, methods for modeling the forming process, and concepts for the industrial implementation of the technology in an automotive manufacturing environment [8].
Online since: March 2025
Authors: Muhammad Arsyad Thaha, Mukhsan Putra Hatta, Nur Amri Yazid Ma
This research method is by collecting secondary data and primary data.
The data required includes tidal data, wind data, current data and thopography and bhatimetry data.
The types and sources of data used in this study are: · Primary Data Primary data is data obtained from the results of the field survey of the Center Point Of Indonesia Makassar Reclamation including taking bhatimetry, topography, current and tidal data at the location during the measurement time which will then be used as a validation chart in the 2D simulation model.
Survey tidal, bhatimetri and topograpy at the research location 2023 · Secondary Data Secondary data is data obtained from various literature and related agencies, namely the Center Point of Indonesia Manager, the Makassar city government, tidal data from the Geospatial Information Agency, wind and waves obtained from ECMWF.
Wind Direction and Speed Direction Data Percentage North 21 3% Northwest 26 3% West 41 5% Southwest 117 15% South 363 47% Southeast 179 23% East 26 3% Northeast 1 0% Total 774 100% From the wind data above, we can get a total of 21 wind data from the north with a percentage of 3%, 26 data from the northwest direction with a percentage of 3%, 41 data from the west with a percentage of 5%, from the southwest direction there are 117 data with a percentage of 15% , the south direction has the most data, 336 data with a percentage of 47%, from the southeast direction there are 179 data with a percentage of 23%, from the east there are 26 data with a percentage of 3%, while from the northeast there is 1 data with a percentage of 0%.
Online since: November 2015
Authors: M. Hulusi Ozkul, N. Zabihi
Using the obtained data (weight changes), absorption (Q) is calculated according to the following formula, (1) where Q is the absorption, is the change in specimen mass in grams, at the time t, a stands for exposed area of the specimen, in mm², and d is the density of the water in g/mm³.
Reductions in the maximum rate of heat evolution for those mixtures of SAE and SBR were also reported in the mentioned references.
An interesting observation is a reduction in initial absorption rate dramatically after the addition of polymeric material.
The highest further reduction in the initial sorptivity was obtained on the mixture of C75-P10 with a 55% rate, which corresponds to a reduction of 84% with respect to the control mixture (the one without polymer or nano-silica).
Guerrero, Reduction of the calcium leaching rate of cement paste by the addition of silica nanoparticles.
Online since: August 2006
Authors: Sayuri Matsuoka, Masayuki Yoshiba, Yoshio Harada, Satoru Takahashi, Wataru Kakuta
On the contrary, it was revealed that the dynamic fatigue loading tends to cause a significant failure life reduction of TBC systems both in air and in corrosive environments.
The thermal-insulating layer is able to provide the temperature reduction of the metallic alloy substrate which results in the improved component durability, and alternatively in the efficiency increase by allowing an increase of the turbine inlet temperatures [1].
The data for Mar-M247 (MB) in air are drawn merely as the trend curves for references.
There was hardly the rupture life reduction of TBC systems in corrosive environments.
In particular, the rupture life reduction of TBC systems was more pronounced in gaseous atmosphere.
Online since: July 2013
Authors: Xin Qun Zhu, Ranjith Liyanapathirana, Upul Gunawardana, Madhuka Jayawardhana
Each sensor generates extremely large amounts of data, often arousing the issue of the cost associated with data transfer and storage.
This is a large reduction of the collected data amount resulting in reduced energy consumption [10].
The attempt is to preserve the energy and storage associated with SHM systems through data reduction without losing the confidence of accurate decision-making.
The CS requirements, data pre-processing, data compression with CS and the reconstruction are discussed subsequently.
The under-sampled data in question is the compressive sensed data discussed in the previous section.
Online since: August 2013
Authors: Afrias Sarotama, Benyamin Kusumoputro
These input-output sample flight data are grouped into two flight data sets.
Two sets of data flights were derived from 36250 sample flight test data.
We shall refer to the second data set as the test data.
Two sets of data were formed from 36250 sampling data.
A set of 3979 samples data, taken from a circular form trajectory is assigned as the test data and the remaining samples data is set as as the training data set.
Online since: August 2013
Authors: Shao Ming Luo, Xue Rong Yang, Jiang Lin Cao, Si Yuan Chen, Deng Fu Ma
And this data structure is usually implemented with a layered C++ class.
SAT file format can exchange data with most existing 3D software data formats, including CATIAV4, CATIAV5, IDEAS, IGES, etc.
The exchange with other data formats is implemented mainly through InterOp, because the conversions of most common data formats are integrated in InterOp
Point cloud of Model 4.1.1 Data measurement and processing The point cloud data of the transected surface obtained by Arm Coordinate Measuring System is shown in figure 2.
Point cloud measured by CMM Then, the measured data is analyzed, and reverse engineering analysis should rely on a data model and all data results are mutually compared for choosing the optimal industrial design plan.
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