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This energy reduction is a result of the avoidance of bulk melting commonly attributed with various arc welding methods.
Results 3.1 Comparison between Ceramic and Steel Tools (Aluminum 6061-T651 similar welds) The resulting tensile testing data indicates a minor strength difference between joints welded using either tool.
The similarity between microstructure properties of the specimens is supported by the hardness data shown in Fig. 6.
This data reveals that no difference in hardness exists between tool use.
Fig. 6: Tool comparison hardness data 3.2 Similar Aluminum 6061-T651 Weld The joint strength results of EAFSW of aluminum to aluminum are shown in Table 4.

One example, for the first subject (exp1) data, is show in Table 2, where the "concise" decision table was constructed.
The theory was applied to handle imperfect data with uncertainty and vagueness by describing dependencies between attributes, evaluating the significance of attributes, and extracting causality patterns between attributes[7].
Similarly, we calculated the frequency of occurrence of all attributes in reducts for all the experimental data.
These are shown in Fig. 3, where we can see easily that the attributes 1, 4, 7 have relatively important positions in most experimental data.
For exp1 data, we induced six rules, there are 3 rules have relatively high strength () in their corresponding decision classes.

The validation of the methodology adopted for the analysis has been carried out with respect to airframe temperature data acquired during a flight trial of the missile.
During the analysis, the solver interpolates the data provided by the kinetic heating code, for the estimation of heat load at any given node based on its location, time and temperature.
Validation The prediction methodology has been validated using the temperature data acquired during flight [12].
The comparison between predictions and flight data is shown in Fig. 9.
It is observed that the predicted temperature profile is in fairly good agreement with the measured flight data.

The system uses a USB interface chip with micro-controller and the data are transmitted into computer by USB interface.
This system also allows users to query the historical data by different ways and supports printing functions.
Image Noise Reduction.
So this paper introduces the algorithm of total variation which is used for image noises reduction.
Compared with the traditional measurement methods, this scheme not only inherits the advantages of CCD imaging system, but also makes full use of computer’s powerful data processing capability.

Seobuk-gu, Cheonan city, Chungnam, Korea, a ecoculture9@gmail.com, b iason@kwater.or.kr, c ecoflower@kornu.ac.kr Keywords: SWMM, Huff Model, Reduction of rainfall runoff, Watershed distribution Abstract.
At the results of simulating on the 3 types of model, unequal distribution (UD) model was realized as the highest effective reduction model of rainfall outflow.
Other site’s situation data were from Water Management Information system of Han River Flood control office [1], Rural Geographic Information System of Korea Rural Community Corporation [2], Rural Water Information System of Korea Rural Community Corporation [3], Soil Map of Rural Development Administration [4], Rural Amenity Information Systems [5], and Mueul Community Service Center [6] were used.
1.086 681 1.0950 Ankoj 1.263 821 0.4013 mean 1.197 970 0.5097 0.2703 (SD) single distribution Gupyeong 1.130 694 0.0744 Mudeung 1.242 998 0.0007 Songsam 1.155 1,155 0.0051 Mermugol 1.061 1,277 0.0080 mean 1.147 1,031 0.0220 0.2334 (ED) equal distribution Jibsugok 1.287 1,602 0.0128 Wonseong 1.181 1,478 0.0177 Jilmaesil 1.425 1,162 0.0272 Jangja 1.551 1,687 0.0036 Sub. mean 1.361 1,482 0.0153 Woosan 1.268 1,079 0.0078 Mui 1.446 1,045 0.0543 Sub. mean 1.357 1,062 0.0311 Ogail 1.113 634 0.0768 Ogai 1.126 722 0.1274 Sub. mean 1.119 678 0.1021 Chomakgol 1.338 930 0.1620 Ganaesil 1.058 1,127 0.0188 Wondong 1.074 1,476 0.0116 Naewol 1.216 1,390 0.0191 Sub. mean 1.171 1,231 0.0529 Woonggokil 1.437 1,406 0.0146 Woonggoki 1.096 1,132 0.0142 Sub. mean 1.267 1,269 0.0144 mean 1.258 1,205 0.0406 0.3184 Conclusion Distributing several small reservoirs would have more effective rainfall runoff reduction
Kim : Analysis of Rainfall Runoff Reduction Effect Depending upon the Location of Detention Pond in Urban Area.

Method of Data Collection A survey was conducted to gather empirical data.
Several means of data collection applied to get information from manufacturers who use pickup trucks for transport their products.
· Origin and destination point · Distance in kilometer and frequency of runs in a week · Type of fuel use · Cost of fuel per trip The profiles of the questionnaire are explained in Table 1, the main objective of questionnaires is to collect data for pickup trucks especially truck routes for the purpose of matching routes for backhaul trips to reduce empty load truck run.
Table 4: Fuel usage classification Fuel Usage Number [unit] Percentage [%] Benzene 25 1.56 Diesel 1,482 92.34 CNG 64 3.99 LPG 34 2.12 Total 1,605 100 Results and Analysis In this section, the data from survey is summarized to elaborate the characteristics of pickup truck runs, percentage of backhauls with shipment and empty backhauls, and their energy consumptions.
The logistics model and matching could be employed and quantified in future study for the reduction of energy consumption in the transportation sector.

Specimens subjected to unidirectional loading developed a story drift of 0.06 rad without strength reduction.
Specimens B14 and B20 exhibited a strength reduction at 0.04 rad story drift caused by the severe weld fracture.
The analytical responses showed good agreement with the test data.
Comparison of hysteresis curve between FE analysis and test data (Specimen U14) Analysis of beam plastic moment.
Specimens subjected to unidirectional loading developed a story drift of 0.06 rad without strength reduction

Reducing the cost of the disposition of these trimmings and a reduction of waste to landfill are the primary motivations for this work.
By spring the system was operational and test data was generated for the processor.
The scope of this capstone project would be constrained to designing a mechanical (not chemical) recycling/reduction system.

But at the same time, it leads to huge dimensions and amazing data [1].
The surface image data of the hundreds of spectral bands can be got by hyperspectral sensor to form a data cube showed in Fig.1.
Band selection algorithm firstly applied in data dimension reduction and filtering is helpful to reduce the amount of data and improve the performance of follow-up processing.
The band selection algorithm based on noise evaluation considers the influence of noise at the same time realizing data dimension reduction, and improves the performance of preprocessing of hyperspectral image.
The experimental data is cut out from the big image.

The Methodology and Data Production need direct inputs such as energy and raw materials, these direct inputs discharge pollutants.
The data of input and output comes from input-output tables and extended table published by Chinese input and output Association.
Chinese SO2 data of 2005, 2007 and 2010 come from the national bureau of statistics of China.
Technology effect is always negative these years, and is a main reduction factor for pollution emission.
Technical factor is the decisive factor for SO2 reduction.