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The study surveyed the attitudes of motorcyclists to determine the proportion of motorcyclists willing to use an electric motorcycle and also estimated the reduction of CO2 emission from the transport sector in Khon Kaen city, Thailand.
To evaluate CO2 emission reduction, the future condition with introduced electric motorcycles was compared to the future do-nothing condition in the same future year.
This study also evaluated the reduction in CO2 emission resulting from the motorcyclists’ shift to using electric motorcycles.
A reduction of CO2 emission in the future condition (Scenario of Electric Motorcycle Introduction), in year 2017 when the electric motorcycle is widely introduced and used, is evaluated by comparing with the do-nothing condition in the same future year (Baseline Scenario).
Acknowledgement The authors would like to express appreciation to the Sustainable Infrastructure Research and Development Center (SIRDC) at Khon Kaen University for supporting the data of this research.

The study provides experimental data that could be used for the design and development of more efficient exchangers for refrigeration conditioning, heat pump and some other systems.
Experimental facility and data reduction Fig. 1 shows a schematic of the experiment facility and test section.
All the experimental signals are collected and processed by Agilent 34970A data acquisition system.
Comparisons of the experimental data with existing correlations were made for 96 experimental data, as shown in Fig. 2.
The following hold for the straight tube: in the laminar range, fc=64/Re, and fc=0.3164/Re0.25 in the turbulent range, Meyer [7] experimental data for the straight tube was plotted as well.

This research not only provides a method that can calculate CO2 emission of residential buildings, but also provides an effective suggestion to choose appropriate energy saving and CO2 reduction strategy.
Y=X+1.99 (4) where X is the number of floors above the ground and Y is the CO2 emission per unit area. 2.4 The phase of operation of buildings This study has collected data of actual electricity usage of 966 residential buildings in Zhejiang province and has analyzed the CO2 emission of different types of residence in Zhejiang.
The CO2 emission per unit area in this phase is about 24kg/m2.a. 2.5 The phase of demolishment and disposal of buildings Due to the lack of related data, formulas 5 and 6, referred to Taiwanese literature [3], are adopted after comparing related research results.
So the reduction of CO2 emission depends mostly on the work during the usage process of the construction, but the CO2 emission of other phases is not ignored yet. 3.
[3] Zhang Yousheng,Life cycle assessment on the reduction of carbon dioxide emission of buildings, National Cheng Kung University: Doctoral Dissertation,2002

Result and discussion Compressive strength of recycled concrete The developments of compressive strength of recycled concrete specimens with various percentages of RBFA are shown in Fig.1 each data represents the average of test results of three cylinders.
The reduction of UPV is increased with an increase in RBFA content.
A positive relationship between strength and UPV is observed and quadratic regression curve was used to correlate the experiment data.
A positive relationship between strength and UPV is observed and a quadratic regression curve was used to correlate the experiment data.
Similarly, a positive relationship between residual strength and residual UPV is clearly observed and a quadratic regression curve was to correlate the experiment data.

Quantitative risk analysis is a method to evaluate risk and to identify areas for risk reduction.
Define the potential accident scenarios Evaluate the event consequences Estimate the potential accident frequencies Estimate & evaluate the risks Identify and prioritize potential risk reduction measures Fig. 1 CPQRA flowchart [1].
Therefore, results for t ³ 3.5 ms (last three data points in Fig. 5) are excluded and the quasi-steady fractal dimension (t = 2-3 ms) is used in the following discussion.
Together with the present experimental data, the previous experimental value [5] obtained by large-scale experiments and our previous results obtained by flame instability analysis [7] and computational fluid dynamics (CFD) calculations [8] are also shown in the same figure.
Although the present results are not inconsistent with previous data, detailed quantitative comparison is difficult because of experimental error of the present data.

According to the electronic structure calculation of CuGaTe2, we observed active Cu 3d orbitals near the Fermi level and effective hybridization of Cu 3d with Te 5p at valence band maximum (VBM) ~ -5.0 eV, yielding a reduction of the bandgap (the data will be published elsewhere).
The remarkable improvement in s over IS is directly accounted for by the bandgap reduction in AIS, which will be discussed below, an interpretation previously proposed by us for IS based materials [12,13].
According to the transport data measured, three inter-related quantities (a, s, k) play their different roles in tuning the TE performance.
The reduction in Eg presumably originates from the effective p-d hybridization in AIS that plays a crucial role in helping push the VBM up compared to IS, responsible for the improvement in s of AIS.
The results reveals that although the thermal conductivities are higher by about a factor of 3 than those of In2Se3 at about 500 K ~724 K, a remarkable improvement in electrical conductivity was observed, originating from the bandgap reduction compared to In2Se3, and responsible for the enhancement of thermoelectric figure of merit ZT.

Previous data such as productivity, attainment and reject rate were also collected by referring to the company’s computer data base.
Set-up Data Collection Sheet (SDCS) was used to analyze and document the existing set-up [12].
The data from TMS and PTCS were transferred into Standard Work Combination Table (SWCT) to demonstrate the time relationship between manual work, machine work and walk to the Takt time (TT) [2].
Another outcome was the reduction of total factory cost.
Yusoff, Effective Data Collection and Analysis for Efficient Implementation of Standardized Work (SW), J. of Mechanical Engineering. 9 (2012) 45-78

Forest Fire Prevention Video Data Transmission System Design Based on Wireless Mesh Network YANG Liu-qing Computer Dept.
of Fuzhou Polytechnic Fuzhou,Fujian, China y.liuqing@163.com Keywords: video monitoring ,frequency planning,data collection, Mesh,link Abstract.
For forest fire prevention video monitoring data collection requirements,making video data collecting transmission system design based on wireless mesh network;including design standards and principles,design solutions and wireless network video monitoring system design;On the use of standards,working frequency,network infrastructure, coverage solutions,link budget,frequency planning, equipment power supply,supporting transmission and AC design describes the design proposal,proposed overall solution on wireless mesh network digital video system and applied to practical forest fire prevention wireless network video monitoring system,and achieved practical application of research results. 1 Introduction Progress and the rapid development of modern science and technology, the use of wireless Mesh network technology can quickly build forest fire prevention video monitoring network to meet the requirements of economic and social development.For forest areas mountainous terrain, scattered population
living requires good coverage, high cost of cable distribution network situation,proposed wireless access coverage designed to resolve the forest fire monitoring system video data transmission scheme. 2 Wireless data transmission system design and construction 2.1 Design standards and principles 2.1.1 Using standard 2.1.1.1WiFi/WAPI Using support WiFi/WAPI standard FIT AP networking equipment. 2.1.1.2 802.11n Use the 802.11n standard equipment mainly for networking, 802.11n selection factors should be considered hot spots type, design capacity, network development [1].
Recommended SU-2006 is a high performance camera through the fog intelligent surveillance color camera, with fog reduction.It uses a 1/2 in.

When the concentrate is enriched up to 65 % Fe, pellet reduction can reach 95 %.
The degree of reduction and metallization of the pellets was calculated (Fig. 8).
The figure shows that increase in basicity did not affect the reduction ability of the pellets.
The degree of metallization during gas reduction was significantly higher than during reduction with a solid reducing agent.
According to the obtained data on the composition of cast iron and slag, the degree of vanadium extraction in cast iron was calculated.

One of the primary goals of many data mining and machine learning systems is dimensionality reduction.
The goal of dimensionality reduction is to reduce the number of features of data in order to perform tasks like clustering and/or training a classifier.
Non-negative Matrix Factorization (NMF) Suppose that the data matrixconsists of m-dimensional nonnegative data vectors, each of which is a sample vector.
Data Eng, vol. 23, no.6, June (2011) 902-913
Data Mining (2006) 126-135.