Analysis of the Potential of Seismic Stability for the Southern Region of Tangshan Based on ArcGIS

2014 ◽  
Vol 919-921 ◽  
pp. 915-920
Author(s):  
Cheng Cheng Li ◽  
Xiao Ming Yuan
Keyword(s):  
Evaluation Method ◽  
Southern Region ◽  
Seismic Stability ◽  
Geological Condition ◽  
Engineering Geological Condition ◽  
Five Factors ◽  
Overlay Method ◽  
Site Category ◽  
Visualization Technology

To assess the potential of seismic stability for the southern region of Tangshan city, five factors are considered, including fault zones, engineering geological condition, hydrogeology condition, dynamic coefficient and site category. In this paper, the process and digitalization and visualization technology of evaluation method for site seismic stability is proposed based on ArcGIS. The overlay method is automatic realized and the seismic stability potential diagram of Tangshan and its southern region is given, which overcomes the drawback that can't automatic classification of other GIS instruments, then time is greatly saved and the efficiency is improved.

Positive Self-Presentation Effects and the Detection of Defensiveness on the NEO PI-R

Assessment ◽  
1997 ◽  
Vol 4 (4) ◽  
pp. 395-408 ◽  
Author(s):  
Scott R. Ross ◽  
Steven E. Bailley ◽  
Scott R. Millis
Keyword(s):  
Discriminant Validity ◽  
Multivariate Functions ◽  
Self Presentation ◽  
Neo Personality Inventory ◽  
Base Rates ◽  
Convergent And Discriminant Validity ◽  
Five Factors ◽  
Within Subjects ◽  
Fake Good

Recent investigations suggest that the five factors are highly susceptible to faking. Three studies are presented that address the effects of positive self-presentational set on the revised edition of the NEO Personality Inventory (NEO PI-R). Study 1 involves a within-subjects design ( N = 100) for the purposes of determining the effects of positive self-presentation on NEO PI-R domain and facet scales. Study 2 reports the development of two multivariate functions for the classification of fake-good protocols and provides results supporting the generalizability of these equations. Finally, Study 3 addresses the issue of specificity in a low base-rates sample ( N = 254) and lends further evidence for the convergent and discriminant validity of these functions. These findings suggest that the NEO PI-R is clearly vulnerable to faking and support the contention that profiles derived under socially desirable conditions can be accurately identified.

Assessment of Implementation Capability for Design-Manufacturing Integration Based on Support Vector Machine

2012 ◽  
Vol 522 ◽  
pp. 842-846
Author(s):  
Song Chen ◽  
Ye Zhuang Tian ◽  
Yang Yang ◽  
Liu Yan
Keyword(s):  
Support Vector Machine ◽  
New Product Development ◽  
Evaluation Method ◽  
Complex Adaptive System ◽  
New Product ◽  
Support Vector ◽  
Manufacturing Enterprises ◽  
Effective Evaluation ◽  
Complex Adaptive

Design-manufacturing integration is one of the most signicant contemporary trends in new product development (NPD) for manufacturing enterprises. Exploring the implementation capability of manufacturing enterprises through the assessment of design-manufacturing integration is an important and crucial step for determining what kind of design-manufacturing integration is appropriate for manufacturing enterprises. However, quantitative evaluation of design-manufacturing integration is rather limited so far. In this paper, we view design-manufacturing integration as a complex adaptive system (CAS), an effective evaluation method for design-manufacturing integration is proposed. To classify the manufacturing enterprises into which can quickly adapt to the environment or not, support vector machine is utilized. Selecting relevant features among the features available for classification of was also dealt with. The experiment results demonstrate the proposed method is useful for Design-manufacturing integration quantitatively.

EARTHQUAKE-INDUCED TOPPLING FAILURE MECHANISM AND ITS EVALUATION METHOD OF SLOPE IN DISCONTINUOUS ROCK MASS

2012 ◽  
Vol 04 (03) ◽  
pp. 1250036 ◽  
Author(s):  
AILAN CHE ◽  
XIURUN GE
Keyword(s):  
Rock Mass ◽  
Evaluation Method ◽  
Shear Failure ◽  
Central China ◽  
Tensile Failure ◽  
Seismic Stability ◽  
Great Earthquake ◽  
Inertia Force ◽  
Rock Slopes ◽  
Toppling Failure

The seismic behavior of rock slopes accompanied with discontinuity is heavily governed by the geometrical distribution and mechanical properties of discontinuity. Especially, high and steep rock slopes, which are dominated by sub-vertical discontinuity, are likely to collapse due to toppling failure and it causes serious damage to structures surrounding the slopes. Ten thousands of landslides, collapses and other geological disasters occurred in the Wenchuan Ms 8.0 great earthquake on May 12, 2008 in Sichuan province of central China. The field survey during the disaster investigations indicated that it shows the tensile failure close to the top of slop and the shear failure below it. However, it is difficult to assess quantitatively toppling failure potential. In order to clarify mechanism of toppling failure in rock slopes and evaluation on seismic stability, 2D joint elements around each rock column is proposed to simulate the discontinuity of rock slope, which is different from Goodman joint and composed with normal spring Kn and shear spring Ks without volume. By a nonlinear numerical FEM analysis, the dynamic response of the rock slopes could demonstrate the landslide mechanism. Coupled with the effect of amplification on the toppling, the seismic horizontal acceleration at the top of slopes is often large, and then coursed inertia force would far exceed the tensile strength of rock mass. Eventually, the opening and sliding of joint elements occurs on the slope are identified based on the nonlinear characteristics of the joint elements. The result shows that a toppling failure could have occurred on the slope and the sliding plane also could be observed, which shows agreement with the existing investigation flexural toppling failure during the Wenchuan great earthquake.

scholarly journals Reform of the classification and evaluation system for scientific and technological innovation talents in the intelligent age

2021 ◽  
Vol 251 ◽  
pp. 02024
Author(s):  
Xiaoqing Wang ◽  
Chunxiao Mu
Keyword(s):  
Information Technology ◽  
Technological Innovation ◽  
Evaluation System ◽  
Evaluation Method ◽  
Technology Innovation ◽  
Science And Technology ◽  
Assessment System ◽  
Evaluation Standards ◽  
Technology Talent

The existing evaluation system of scientific and technological talents is insufficient in classification and evaluation, lacks clear evaluation objectives and evaluation standards, and attaches too much importance to the achievements of scientific and technological talents and lacks the development potential of scientific and technological talents. In this paper, using intelligent era information technology reform of science and technology talent assessment system, to advocate and innovation for the purpose, classification of evaluation objects, evaluation criterion of explicit, the diversification of evaluation subject, evaluation method is scientific, the diversification of evaluation methods, to effectively identify innovative science and technology talents, motivating talents of science and technology innovation power and guide the scientific and technological personnel work to lay the foundation.

Comprehensive Assessment Method for Pile Construction Quality Based on Analytic Hierarchy Process

2013 ◽  
Vol 838-841 ◽  
pp. 245-249
Author(s):  
Yong Chun Cheng ◽  
Hong Bin Guo ◽  
Xian Qiang Wang ◽  
Yu Bo Jiao
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Assessment ◽  
Evaluation Method ◽  
Assessment Method ◽  
Comprehensive Assessment ◽  
Assessment Model ◽  
Geological Condition ◽  
Construction Quality ◽  
Analytic Hierarchy ◽  
Hierarchy Process

In this paper, a new comprehensive assessment method of pile construction quality based on analytic hierarchy process is proposed considering that the current specification is uncertain about quality assessment. This method establishes the comprehensive assessment index system of pile construction quality taking account of the influence of the pile velocity, pile length, geological condition, bridge importance level, pile defects and other parameters on pile construction quality assessment. It constructs pile construction quality assessment model through determining the weight of each index based on analytic hierarchy process to improve the evaluation method of pile construction quality. The good results achieved in practical engineering demonstrate that the proposed method possesses favorable accuracy.

Priorisierung von Effizienzmaßnahmen in der Galvanik*/Evaluation method for prioritizing rational energy efficiency measures in electroplating – Optimal introduction and control of energy efficiency measures

2019 ◽  
Vol 109 (09) ◽  
pp. 688-693
Author(s):  
C. Dierolf ◽  
E. Köse ◽  
S. Kölle ◽  
P. Schwanzer ◽  
A. Sauer
Keyword(s):  
Energy Efficiency ◽  
Evaluation Method ◽  
New Method ◽  
Energy Requirements ◽  
Wird Eine ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
Method Of Evaluation ◽  
And Control

Der Beitrag stellt eine neue Bewertungsmethode zur Priorisierung rationeller Energieeffizienzmaßnahmen in der Galvanik vor. Ziel ist eine optimale Einführung und Steuerung von Energieeffizienzmaßnahmen. Nach der Einordnung von Energiebedarfen in der Galvanik werden allgemeine Methoden zur Identifikation von Energieeffizienzpotenzialen beschrieben. Darauf basierend wird eine neue Bewertungsmethode präsentiert, gefolgt von der Quantifizierung ausgewählter Energieeffizienzmaßnahmen.   This paper presents a new method of evaluation for prioritizing rational energy efficiency measures in electroplating. The aim is to optimally introduce and control energy efficiency measures. After the classification of energy requirements in electroplating, general methods for the identification of energy efficiency potentials are described. Based on this, a new evaluation method was developed, followed by the quantification of selected energy efficiency measures.

Engineering Geological Condition Analysis of some Beijing Engineering

2012 ◽  
Vol 446-449 ◽  
pp. 1989-1992
Author(s):  
Yun Long Shangguan ◽  
Qing Wang ◽  
Cen Cen Niu ◽  
Ke Wang ◽  
Yan Ge Zhang
Keyword(s):  
High Speed ◽  
Geological Condition ◽  
Engineering Geological Condition ◽  
Geological Environment ◽  
Rock Blasting ◽  
Tunnel Excavation ◽  
High Speed Railway ◽  
Geological Conditions ◽  
Tunnel Design ◽  
Railway Engineering

With the high speed railway construction in our country, the launch of the railway engineering will inevitably lead to all kinds of engineering geological problems, resulting in the construction and operation of landslides, sudden gushing mud, rock blasting and other diseases. So with geological environment and engineering geological conditions of the station tunnel excavation , analysis and evaluate the influence of the engineering geological conditions of the tunnel, put forward the measures and suggestions for the engineering, and provide the basis for tunnel design and construction .

scholarly journals Research on Classification Method of Maize Seed Defect Based on Machine Vision

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Sheng Huang ◽  
Xiaofei Fan ◽  
Lei Sun ◽  
Yanlu Shen ◽  
Xuesong Suo
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Learning Algorithm ◽  
Machine Learning Algorithms ◽  
Heat Map ◽  
Deep Learning Algorithm ◽  
Quality Classification ◽  
Visualization Technology ◽  
Better Than

Traditionally, the classification of seed defects mainly relies on the characteristics of color, shape, and texture. This method requires repeated extraction of a large amount of feature information, which is not efficiently used in detection. In recent years, deep learning has performed well in the field of image recognition. We introduced convolutional neural networks (CNNs) and transfer learning into the quality classification of seeds and compared them with traditional machine learning algorithms. Experiments showed that deep learning algorithm was significantly better than the machine learning algorithm with an accuracy of 95% (GoogLeNet) vs. 79.2% (SURF+SVM). We used three classifiers in GoogLeNet to demonstrate that network accuracy increases as the depth of the network increases. We used the visualization technology to obtain the feature map of each layer of the network in CNNs and used the heat map to represent the probability distribution of the inference results. As an end-to-end network, CNNs can be easily applied for automated seed manufacturing.

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