scholarly journals Blast-Casting Mechanism and Parameter Optimization of a Benched Deep-Hole in an Opencast Coal Mine

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Li Ma ◽  
Xingping Lai ◽  
Jianguo Zhang ◽  
Shuangshuang Xiao ◽  
Leiming Zhang ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Casting Process ◽  
Rock Properties ◽  
Specific Charge ◽  
Deep Hole ◽  
Analysis Method ◽  
Analysis Model ◽  
Factors Influencing ◽  
Powder Factor ◽  
Minimum Resistance

During the research on bench deep-hole blast casting, the blast-casting parameters are directly related to the blast-casting results, so it could reveal the mechanism for improving the effect thereof. Based on the principle of the plane charge method, both the stress wave and detonation gas were considered to affect rock fragmentation and casting, a model of overburden fragmentation and casting process around the blasting hole was established, and bench deep-hole blast-casting behaviours were elucidated. By using the Factor Analysis Method (FAM), a correlation analysis model of factors influencing blast-casting results was built. The results proved that powder factor (or specific charge) ranked first in terms of its influence, followed by hole spacing, minimum resistance line, burden, and bench height. The formulae for calculating the limit powder factor value and the spacing of blasting holes were derived for different rock properties. The results showed that the optimum hole spacing was no more than 12.49 m and the powder factor was no more than 0.75 kg/m3, and it proved that an effective casting percentage (ECP) of 34% could be realized.

scholarly journals Exploring Factors Influencing Customers Decision Making towards Online Grocery Retail Services in Kolkata

2020 ◽  
pp. 280-283
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Customer Service ◽  
Urban Areas ◽  
Retail Sector ◽  
Analysis Method ◽  
Factors Influencing ◽  
Service Convenience ◽  
Prime Objective ◽  
Retail Services

Online grocery retail services are a new trend in Indian urban cities. The two large players namely Grofersand Big Basket attracting customers. The study is an attempt to understand the changing scenario in grocery retail sector. The prime objective of the study is to explore the factors that are attracting customers to choose e retail for Groceries. The data was collected through questionnaire from 100 respondents. Factor analysis (Principle Component Analysis method) was used to explore the influencing factors. These results have shown that mainly customer service, convenience, loyalty rewards, product vailability and payment options are attracting the customers to choose Grophers and Big Basket. These companies have a huge untapped markets and will easily convert the habits of customers in Urban areas.

Study on the Relationship between the Traffic Characteristics and Speed at the Access of Urban Tunnels

2015 ◽  
Vol 743 ◽  
pp. 568-574
Author(s):  
Xiao Dan Xu ◽  
Li Lin
Keyword(s):  
Factor Analysis ◽  
Prediction Model ◽  
Operating Speed ◽  
Analysis Method ◽  
Time Headway ◽  
Traffic Characteristics ◽  
Factors Influencing ◽  
Brightness Difference ◽  
The Relationship ◽  
Mean Time

The present work sought to extract and quantify the factors influencing the speed at the access of the urban tunnels by factor analysis method and then found out that the principle factors influencing operating speed were cart ratio, mean time headway, brightness difference between inside and outside of the cave. Finally through the SPSS statistics software and on the base of analysis of multi-line regression, the prediction model of operating speed was established.

Optimization of Fracturing Parameters in Changning Shale Based on a New Comprehensive Multi-Factor Analysis Method

2021 ◽  
Author(s):  
Bo Zeng ◽  
Jian Liu ◽  
Yi Song ◽  
Xiaojin Zhou ◽  
Xingwu Guo ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Principal Stress ◽  
Correlation Method ◽  
Influential Factors ◽  
Gas Content ◽  
Analysis Method ◽  
Analysis Model ◽  
Entropy Weight ◽  
Selection Of ◽  
Hydrocarbon Productivity

Abstract Horizontal well multi-cluster fracturing technology is the most effective technical approach to exploit unconventional reservoirs (such as shale). The hydrocarbon productivity after fracturing often depends on the selection of fracturing location and fracturing parameters. However, these influencing parameters are very diverse and coupled with each other. Numerical simulation methods and laboratory experiment methods are often complicated to reflect the nonlinear relationship. Therefore, this study develops a new multi-factor analysis method based on field data to explore fracturing parameters’ weights that affect the hydrocarbon productivity after fracturing. This method combined the grey correlation method and entropy weight method to establish a combined weight analysis model. This method can comprehensively evaluate the influence factors on the post-fracturing productivity and ensure the accuracy of the obtained results through a field test. In our study, the influence of geological and fracturing parameters on 50 horizontal wells in Changning Shale is analyzed using the new method. These 50 wells are from the same block but have different values of fracturing parameters. The analysis results show that the fracturing parameters’ weight rankings on the post-fracturing productivity are fluid injection intensity, injection sand intensity, cluster spacing, injection rate, stage length, and average pump pressure. The weight rankings of geologic parameters affecting post-fracturing productivity are total gas content, brittle mineral content, porosity, Young’s modulus, minimum principal stress, total organic carbon, Poisson’s ratio, and maximum principal stress. Our study provides a new means of analyzing the influential factors of the in-situ hydraulic fracturing. Also, it gives a helpful guide for the selection of fracturing parameters in Changning Shale.

Application of Factor Analysis in the Research of Hospital Medical Expenses

2011 ◽  
Vol 50-51 ◽  
pp. 973-976
Author(s):  
Su Feng Yin ◽  
Jian Hui Wu ◽  
Xiao Jing Wang ◽  
Sha Li
Keyword(s):  
Factor Analysis ◽  
Common Factors ◽  
Analysis Method ◽  
Medical Expense ◽  
Latent Factors ◽  
Medical Expenses ◽  
Hospital Medical ◽  
Factors Influencing ◽  
The Common ◽  
Operation Factor

Case records of inpatients in a hospital in Tangshan in 2007 and 2008 are chosen for factor analysis. This paper aims at finding the latent factors influencing inpatients' medical expense. By analysing the factors which controlling and influencing inpatients' medical expense, the practical value of factor analysis in the study of medical expense is evaluated, and an analysis method in line with the structure of hospital medical expenses and its characteristics is tentatively explored. The paper comes to the conclusion that the factor of basic expense, the operation factor and the examination factor are the common factors which control and influence inpantients' medical expense. It is implied that factor analysis is a proper method used in research of hospital medical expenses.

scholarly journals Exploring Factors Influencing Employability of Vocational Training Graduates in Pakistan: A Factor Analysis

2017 ◽  
Vol II (I) ◽  
pp. 431-447
Author(s):  
Asghar Ali ◽  
Iqbal Ahmad ◽  
Anees-ul-Husnain Shah
Keyword(s):  
Factor Analysis ◽  
Vocational Training ◽  
Principal Component ◽  
Skills Training ◽  
Training Curriculum ◽  
Analysis Method ◽  
Job Market ◽  
Factors Influencing ◽  
Training Institutions ◽  
Practical Experiences

This study was conducted to explore factors influencing the employability of vocational education graduates in Pakistan. Data were collected from 141 teachers. The data were analyzed using factor analysis approach. The principal component analysis method was applied to exploring influencing factors. The following six factors were found influencing the employability of vocational graduates such as education mismatch, market need, relevant experience, job creation, policy and skills training. Based on the findings it is recommended that the vocational training curriculum needs to be updated and students need to be provided practical experiences through field-based learning. There is a need to link the curriculum of the vocational training institutions with industry. There is a need to provide skill-based training rather than theoretical teaching to the students before they enter the job market. Last but not least, demandbased policies need to be made and implemented for promoting skill development of the graduates.

scholarly journals Exploring Factors Influencing Employability of Vocational Training Graduates in Pakistan: A Factor Analysis

2017 ◽  
Vol II (I) ◽  
pp. 389-404
Author(s):  
Asghar Ali ◽  
Iqbal Ahmad ◽  
M. Anees-ul-Husnain Shah
Keyword(s):  
Factor Analysis ◽  
Vocational Training ◽  
Principal Component ◽  
Skills Training ◽  
Training Curriculum ◽  
Analysis Method ◽  
Job Market ◽  
Factors Influencing ◽  
Training Institutions ◽  
Practical Experiences

This study was conducted to explore factors influencing the employability of vocational education graduates in Pakistan. Data were collected from 141 teachers. The data were analyzed using factor analysis approach. The principal component analysis method was applied to exploring influencing factors. The following six factors were found influencing the employability of vocational graduates such as education mismatch, market need, relevant experience, job creation, policy and skills training. Based on the findings it is recommended that the vocational training curriculum needs to be updated and students need to be provided practical experiences through field-based learning. There is a need to link the curriculum of the vocational training institutions with industry. There is a need to provide skill-based training rather than theoretical teaching to the students before they enter the job market. Last but not least, demandbased policies need to be made and implemented for promoting skill development of the graduates.

Management of Guidance and Counseling on Learning Discipline

2020 ◽  
Vol 10 (2) ◽  
pp. 60-74
Author(s):  
Muhammad Syauqi Mubarok
Keyword(s):  
Statistical Analysis ◽  
Descriptive Analysis ◽  
Field Studies ◽  
Guidance And Counseling ◽  
Analysis Method ◽  
Vocational High School ◽  
Analysis Model ◽  
Survey Techniques ◽  
Analysis Technique ◽  
Path Analysis Model

This article aims to examine and describe the influence of guidance and counseling management on learning discipline. The method used in this research is descriptive analysis method using survey techniques. Data collection techniques that used are documentation studies and field studies. Moreover, the data analysis technique that has been used to answer the research hypothesis is statistical analysis with a path analysis model. The location of the study was at the Ciledug Vocational High School Al-Musaddadiyah Garut, with 85 respondents taking part in the survey. The results of the discussion show that guidance and counseling management has a positive and significant effect on the discipline of learning

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