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Therefore, the location of buried faults, especially in the near surface, is of considerable importance with respect to the new urban planning and disaster reduction.
The datum used was WGS84.
location Start and end GPS coordinate No. of electrodes Electrode spacing Depth factor n L1 Wenquan town N24°18.929¢ E102°29.029¢ N24°18.944¢ E102°28.653¢ 112 6 m 30 L2 Wenquan town N24°19.197¢ E102°29.144¢ N24°18.972¢ E102°29.623¢ 160 6 m 45 L3 Heicun village N24°23.123¢ E102°29.921¢ N24°22.973¢ E102°30.631¢ 224 6 m 60 L4 Lianchi village N24°26.223¢ E102°31.512¢ N24°25.870¢ E102°32.420¢ 288 6 m 75 L5 Meiyuancun village N24°26.921¢ E102°32.791¢ N24°27.179¢ E102°31.876¢ 288 6 m 75 L6 Beicheng town N24°27.494¢ E102°32.774¢ N24°28.172¢ E102°32.984¢ 224 6 m 74 The acquired apparent resistivity data were processed using Geogiga RTomo software [6] and the following procedures: 1) pre-processing, 2) creating a pseudo-section of apparent resistivity, 3) applying topographic corrections (ignored if the topography on a measuring line was flat), and 4) data inversion.
Resistivity data were acquired along six survey lines.

Based on these findings, this study outlines future research directions, including the development of IoT-enabled systems for real-time data sharing, advanced simulation models using detailed building spatial data, evacuation facilitation systems informed by active shooter dynamics, and training systems grounded in real-world building spatial data.
Cho et al. [10] developed an agent-based model using Building Information Modeling (BIM)-enabled spatial data of buildings and human monitoring to simulate an active shooting incident and evacuation.
Secondly, a sophisticated simulation model can be developed using BIM-based spatial data from actual buildings.
By utilizing spatial data from actual structures, this methodology is expected to significantly enhance individual self-efficacy and overall evacuation effectiveness in genuine active shooting situations.
The facilitation system overlooks key active shooter data, such as shooter location and movement.

Fabricated structures were ballistic tested and compared with open data on commercial armor made of titanium.
This increase was primarily due to the substantial reduction in porosity of the composites during HIP.
An additional positive effect can be expected from the possible reduction of stresses accumulated at the interfaces between adjacent layers of different compositions.
In addition, diffusion accelerated by HIP treatment provides a significant reduction in MMC porosity.
The protective characteristics of the manufactured layered structures have been compared with the open data on commercial titanium-based armors (Fig. 8).

For the UAV monitoring and inspection data that are quantitative,the data are assessed and scored by the fuzzy AHP method,while for the extent of the data that are non-quantitative,the data will be directly assessed and scored according to the expert system.
Depending on the different kinds of the assessment content ,we take real-time monitoring , regular monitoring and artificial inspect to obtain these data evaluation.
The main manual inspection to the naked eye or a portable instrument bridges the apparent state of regular checks made to quantify the extent of the description of the data or status .
For manual inspection and other non- quantitative data , based on existing UAV system maintenance practices and expert described the results directly to quantify the extent of score draw assessment scores , as shown in Table 3.
Such as severe emergencies ( such as when recovering a large impact strength , strong winds task interference ) occurs , according to real-time data acquisition system , to assess the state of the UAV incident after incident assessment form reports.

As a result, the distribution of equivalent plastic strain, equivalent plastic strain rate, temperature and equivalent von Mises stress estimated using the expanding cavity model was in good agreement with the data obtained from the finite element analysis.
These indentations result in a reduction of the fatigue life of these blades due to stress concentration and residual stress.
To prevent the reduction of the fatigue life, it is required that the indentation size produced by a high-velocity impingement of a small solid object are accurately predicted.

Moreover, the cracks width and the deflection of the beam at the corroded segment are calculated through using formula and extracting the results data from ANSYS.
It leads to reduction of the mechanical bite force between rebar and concrete.
At the same time, the rebar cross-sectional area reduction and yield strength decreased caused by the rebar corrosion is taken into account.

This paper provided three test data pertaining to the mechanical properties of steel reinforced concrete (SRC) eccentric columns after exposure to fire and one comparative test data pertaining to the mechanical properties of steel reinforced concrete columns at room temperature.
This paper is one of series study on the mechanical behavior of SRC members including beams, columns and nodes after exposure to fire, mainly providing four test data pertaining to the mechanical properties of SRC columns.
The average reduction of load bearing capacity is about 24%.
The average reduction of load bearing capacity is about 24%.

This establishes the need for a concerted effort to expand the data base for natural materials, which include all potential fibre sources.
Mahogany gave a reduction of about 20%.
Afara gave 48% reduction while Caeser-weed reduced the strain value by 88%.
At break, addition of Mahogany dust resulted in a reduction of 12%, Afara dust reduced the value with 46%, while Caeser-weed fibre gave a reduction of 85% .
The reduction given by the Caeser-weed was highest of the three biological materials.

The strong and smart grid can be divided into five links as power generation, transmission, transformation, distribution and utilization; the information and communication data platform, equipment manufacturing, software and hardware development, design and installation of construction and professional service industries would permeate into every link of the industry chain, and the vast users are the final service objects of the strong and smart grid.
The environmental value mainly comes from the reduction of greenhouse gases emissions and pollution.
As shown in Table 1, includes all its value calculation models such as emissions reduction, industry development, employment increased and etc.
Talbe 1 Value Calculation Model of Large-scale Clean Energy Grid Combination Project Whole industry chain value Value Calculation Model Environmental value Emission reduction of carbon dioxide ①BCO2=∆EC ×βCO2×PCO2 Emission reduction of sulfur dioxide ②BSO2=∆EC ×βSO2×PSO2 Emission reduction of nitric oxide ③BNOx=∆EC ×βNOx×PNOx Economical value Power generation of clean energy ④Bclean energy=Ecombination×Pselling Drive the industry ⑤V industry=Cpurchase+Cconstruction Social value Drive the employment ⑥Bemployment=Ｖindustry／εindustry Intelligent Electric Vehicle Charging and Transportation Network Project.
As shown in Table 2, includes all its value calculation models such as emissions reduction, increased income for grid from power selling, employment increased and etc.

For each external iteration the search space is reduced around the optimal solution found in the internal iteration, this reduction is defined by a coefficient.
For all version of LJ algorithm it is used the reduction coefficient (rc = 0.1).
The circles in the Fig.2 are considered outliers, which represents points much higher or smaller than the next nearest data point.
This occurred because the search space was refined after its reduction on each iteration of this algorithm.
Jaakola, Optimization by direct search and systematic reduction of the size of search region.