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Key design parameters and their impact on energy efficiency Parameter Description Typical Range Impact on Et Angle of Attack (q) Angle between tool and rock surface 20°–60° 5–15% reduction Edge Curvature (re) Radius of cutting edge 0.1–2 [mm] 3–10% reduction Coating Hardness (Hc) Hardness of wear-resistant coating 1500–3000 [HV] 8–20% reduction The hypothesis of this study posits that optimized design parameters can reduce energy costs without compromising performance.
The simulations predicted Es and cutting forces with an accuracy of ±7% compared to experimental data, enabling rapid evaluation of design variations.
By integrating high-precision experimental data with validated FEM simulations, this approach allows for a comprehensive analysis of energy consumption across a wide range of conditions.
The proposed theoretical model, based on the coupled energy-interaction equation Es was validated by comparing predicted Es values with empirical data.
The proposed theoretical framework, which accounts for dynamic interactions and wear losses, accurately predicted Es within ±6% of empirical data, offering a tool for energy-efficient tool design.

An Advanced method for human body detection Fengxia Li1, a, Sanyuan Zhao1, Zhongjun Li1, Wangcheng Zhang1 1School of Computer Science and Technology, Beijing Institute of Technology, Haidian, Beijing, 10081,China aemail: lfx_lfx@bit.edu.cn Keywords: Dimensionality Reduction, Exemplar Method Abstract.
The input data are the similarity features.
The input data are the similarity features.

Hail identification analysis from Radar image by CNN Guodong Li 1, a, Xu Wang 2,b Fei Zhao3,c and Wenxia Xu 2,c 1 Department of Applied Mathematics; University of Finance and Economics; Urumqi Xinjiang 830012 China 2 Xinjiang Weather Modification Office, Urumqi, 830002, PR China 3The Centre of Lightning Protection and Disaster Reduction, Xinjiang Meteorology Bureau, Urumqi, 830002, PR China algdzhy@126.com, bwangxu@126.com, cxwxqiuye@live.cn Keywords: Radar image; Hail identification; veins; polynomials fitting Abstract.
Dug some data as information .At last we find some regular to distinguish the cloud with hail or not.
Hail prevention expert system for disaster reduction.

All the data can be detected by PLC and displayed on a touchscreen including: positioner’s current status, running programme, warnings and modifications.
In the revolution mechanism design of positioner, two AC servo motors were used to drive helical gears over two high-precision reduction gears( harmonic speed changer with a reduction ratio of 300) separately.
An AC servo motor was used to drive helical gear over a high-precision reduction gear (harmonic speed changer with a reduction ratio of 300).
The mesh between reduction gear and motor was gapless with an amortisseur installed.

The biggest reduction in the austenite lattice constant value was observed in the case of a short ageing time of 0.5 h (Figs. 1-3).
A considerable reduction in the austenite lattice constant at the initial stage of alloy ageing is caused by spinodal decomposition of a supersaturated solid solution [2,3].
The longer ageing time (200 and 500 h) leads to further reduction in the austenite lattice constant.
Extension of the ageing time (200 and 500 h) leads to further reduction in the austenite lattice constant.
Toraya, Whole-powder-pattern fitting without reference to a structural model: application to X-ray powder diffraction data, J.

Climate Data Temperature, Humidity, Wind speed, Cloud, Solar radiation, etc.
Economic Data Economic factors, Utility rates, etc.
Therefore, the data for this study related to these two systems was provided by the manufacturers. 5.1.
Weather data and energy rates Chinese Standard Weather Data (CSWD) of Guangzhou, downloaded from the official website of EERE program of U.
DOE, is applied as weather data to carry out this simulation.

Analysis of Geological Disasters Economic Evaluation Qinghua Zhan1,a and Shimei Wang1 1Three Gorges University Institute of Civil Engineering and Architecture, Hubei Yichang ajingjing-yc@126.com Keyword: Geological disasters; Economic evaluation; Multi-level fuzzy comprehend- sive evaluation method; Statistical data evaluation method Abstract: This paper first introduces the meaning and mission of the economic evaluation of geological disasters, as well as the basic concepts of different economic evaluation, and then discuss the methods of economic evaluation of geological disasters, including multi-level fuzzy comprehensive evaluation method and statistical data evaluation method, and gives the outlook of the economic evaluation of geological disasters.
Economic Evaluation Study of Geological Disasters On the basis of the economic evaluation of the geological disasters purpose is to get a lot of information on geological disaster information, through the analysis of the economic effects of a variety of disaster prevention and mitigation and relief measures, thereby determine its economic and social benefits, providing a quantitative basis for the government to formulate programs and policies of the disaster prevention and disaster reduction and relief, so that improve the effect of the use of mitigation investment.
Statistical data evaluation method.
It is in the investigation of the statistical basis according to some intrinsic linkages between disaster data or trend, it can infer for Loss of the year which there is no quantitative data, disaster economic losses evaluation method through the statistics evaluation method can conduct quantitative evaluation for the direct economic losses and indirect economic losses, which can use accurate assessment of the value of the loss as a reference for disaster economic evaluation.

Simulated results were compared with experimentally ascertained data and guidelines.
The most important effect of wind ribs is the reduction of a maximum suction on both sides of the cooling tower.
This calculated data are in agreement with Pirner [6].
The wind ribs have best efficiency for angle α = 90 ° and lowest at angle α = 45 ° for reduction minimum of pressure distribution coefficient.

According to the data of climate and runoff from 68 weather stations and 105 hydrologic stations in Hebei province between 1956 and 2000, the change of climatic essential factors and runoff are analyzed.
According to the data of climate and assessment of surface water resources from 68 weather stations and 105 hydrological stations in Hebei province from 1956 to 2000, the change of climatic factors and runoff are analyzed.
On the basis of observed data by 20cm caliber evaporation pan, the maximum of mean annual evaporation in Hebei province is 1881mm in 1960s, falling gradually later.
In addition, according to the observed data, a positive correlation is found between evaporation and runoff, and both of them show a downward tendency in the course of time.
And the data for the study and simulation of climatic systems are insufficient.

Data sources of study area SPOT5 satellite remote sensing images in 2003 and the actual datum of aerial photography in 2009 were selected as based data.
DOM data of 2.5 m resolution were obtained according to the SPOT5 satellite remote sensing images in 2003 by ortho rectification, fusion and mosaic.
DOM data of 1.0 m resolution of banding along 20 km of both sides of Yangtze River were obtained according to the actual datum of aerial photography in 2009 by three-dimensional riangulation, topographical correction and mosaic.
analyses on land cover information The changes of land cover information data are divided by land type and is shown in Fig.1.
The rest change is relative less, no obvious explosion or reduction.