scholarly journals Determination of blend composition of kerosene and light oil by GC using different calculation method of regression analysis (DCR)

2005 ◽  
Vol 6 ◽  
pp. 23-29 ◽  
Author(s):  
Toshiyuki Mitsui ◽  
Shuji Okuyama
Keyword(s):  
Regression Analysis ◽  
Calculation Method ◽  
Blend Composition ◽  
Light Oil

EXPERIMENTAL STUDIES OF REINFORCED CONCRETE STRUCTURES WITH CROSS-SHAPED SPATIAL CRACK UNDER TORSION WITH BENDING

2020 ◽  
Vol 92 (6) ◽  
pp. 13-25
Author(s):  
Vl.I. KOLCHUNOV ◽  
◽  
A.I. DEMYANOV ◽  
M.M. MIHAILOV ◽  
◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Experimental Determination ◽  
Calculation Method ◽  
Experimental Studies ◽  
Concrete Structures ◽  
Design Parameters ◽  
Reinforced Concrete Structures ◽  
Experimental Scheme

The article offers a method and program for experimental studies of reinforced concrete structures with cross-shaped spatial crack under torsion with bending, the main purpose of which is to check the design assumptions and experimental determination of the design parameters of the proposed calculation method. The conducted experimental studies provide an opportunity to test the proposed calculation apparatus and clarify the regularities for determining deflections, angles of rotation of extreme sections, and stresses in the compressed zone of concrete. For analysis, the article presents a typical experimental scheme for the formation and development of cracks in the form of a sweep, as well as characteristic graphs of the dependence of the angles of rotation of end sections.

scholarly journals Modeling Population Spatial-Temporal Distribution Using Taxis Origin and Destination Data

2021 ◽  
Vol 13 (7) ◽  
pp. 3727
Author(s):  
Fatema Rahimi ◽  
Abolghasem Sadeghi-Niaraki ◽  
Mostafa Ghodousi ◽  
Soo-Mi Choi
Keyword(s):  
Regression Analysis ◽  
Mean Squared Error ◽  
Population Distribution ◽  
Temporal Distribution ◽  
Coefficient Of Determination ◽  
Temporal Modeling ◽  
Location Data ◽  
Time Period ◽  
Proposed Model

During dangerous circumstances, knowledge about population distribution is essential for urban infrastructure architecture, policy-making, and urban planning with the best Spatial-temporal resolution. The spatial-temporal modeling of the population distribution of the case study was investigated in the present study. In this regard, the number of generated trips and absorbed trips using the taxis pick-up and drop-off location data was calculated first, and the census population was then allocated to each neighborhood. Finally, the Spatial-temporal distribution of the population was calculated using the developed model. In order to evaluate the model, a regression analysis between the census population and the predicted population for the time period between 21:00 to 23:00 was used. Based on the calculation of the number of generated and the absorbed trips, it showed a different spatial distribution for different hours in one day. The spatial pattern of the population distribution during the day was different from the population distribution during the night. The coefficient of determination of the regression analysis for the model (R2) was 0.9998, and the mean squared error was 10.78. The regression analysis showed that the model works well for the nighttime population at the neighborhood level, so the proposed model will be suitable for the day time population.

scholarly journals Non-Destructive Micromagnetic Determination of Hardness and Case Hardening Depth Using Linear Regression Analysis and Artificial Neural Networks

Metals ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 18
Author(s):  
Rahel Jedamski ◽  
Jérémy Epp
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Regression Analysis ◽  
Artificial Neural Networks ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Case Hardening ◽  
Artificial Neural ◽  
Non Destructive

Non-destructive determination of workpiece properties after heat treatment is of great interest in the context of quality control in production but also for prevention of damage in subsequent grinding process. Micromagnetic methods offer good possibilities, but must first be calibrated with reference analyses on known states. This work compares the accuracy and reliability of different calibration methods for non-destructive evaluation of carburizing depth and surface hardness of carburized steel. Linear regression analysis is used in comparison with new methods based on artificial neural networks. The comparison shows a slight advantage of neural network method and potential for further optimization of both approaches. The quality of the results can be influenced, among others, by the number of teaching steps for the neural network, whereas more teaching steps does not always lead to an improvement of accuracy for conditions not included in the initial calibration.

Optimization of a Specimen Size for the Determination of the Diffusible Hydrogen Content in Metals

2014 ◽  
Vol 698 ◽  
pp. 466-471
Author(s):  
Oleg V. Panchenko ◽  
Alexey M. Levchenko ◽  
Victor A. Karkhin
Keyword(s):  
Hydrogen Content ◽  
Calculation Method ◽  
Specimen Size ◽  
Experimental Results ◽  
Diffusible Hydrogen ◽  
Measuring Methods ◽  
Deposited Metal ◽  
Calculation Results

Specimens of various sizes are used to determine hydrogen content in deposited metals in such standards as ISO 3690, AWS A 4.3, and GOST 23338 while measuring methods are the same. It causes problems in comparison of experimental results and brings up the following question: what kind of specimen size is optimal to determine hydrogen content? An optimal specimen size was estimated using a calculation method. Experimental and calculation results obtained by using specimens with estimated dimensions were compared to the results obtained by using the specimen with dimensions of 100*25*8 mm to determine hydrogen content in a deposited metal.

PENGARUH BUDAYA KERJA, KEPEMIMPINAN, DISIPLIN KERJA DAN KOMPENSASI TERHADAP KINERJA KARYAWAN PT. KAI DAOP 5 PURWOKERTO

2017 ◽  
Vol 3 (1) ◽  
pp. 87-100
Author(s):  
Karsono , ◽  
Denok Kurniasih ◽  
Dyah Retna Puspita
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Sample Size ◽  
Multiple Regression Analysis ◽  
Compensation Effect ◽  
Employee Performance ◽  
Primary Data ◽  
Work Culture ◽  
Study Population

Abstract: Employee performance is very important for an organization to achieve its goals. This study aims to analyze the influence of work culture, on employee performance, leadership on employee performance, work discipline on employee performance, compensation on employee performance and work culture, leadership, work discipline, compensation on employee performance at PT. KAI Daop 5 Purwokerto. The study population is all employees of PT. KAI Daop 5 Purwokerto as many as 623 employees. Determination of sample size with Slovin formula obtained by 86 respondents. The data used is the primary data obtained from the questionnaires distributed to respondents.Tehnik data analysis used is a quantitative approach. The data of the research were analyzed using multiple regression analysis. The results showed that: Work culture affect the performance of employees means that if the work culture increases then the performance of employees will increase. Leadership affects the performance of employees means that if the existing leadership is conducive to work then the performance of employees will increase, work discipline does not affect the performance of employees means employees who discipline work high and employees who work discipline less have the same performance height, Compensation effect on the performance of meaning if the compensation increases then employee performance will increase, work culture, leadership, work discipline and compensation together affect the employee's performance, meaning that if work culture, leadership, work discipline and compensation together increase the employee performance will increase. Keywords: Working Culture, Leadership, Work Discipline, Compensation, Employee Performance. Abstrak: Kinerja pegawai merupakan hal yang sangat penting bagi organisasi untuk mencapai tujuannya. Penelitian ini bertujuan untuk menganalisis pengaruh budaya kerja, terhadap kinerja pegawai, kepemimpinan terhadap kinerja pegawai, disiplin kerja terhadap kinerja pegawai, kompensasi terhadap kinerja pegawai dan budaya kerja, kepemimpinan, disiplin kerja, kompensasi terhadap kinerja pegawai di PT. KAI Daop 5 Purwokerto. Populasi penelitian adalah semua karyawan PT. KAI Daop 5 Purwokerto sebanyak 623 orang karyawan. Penentuan ukuran sampel dengan rumus Slovin diperoleh sampel sebanyak 86 responden. Data yang digunakan adalah data primer yang diperoleh dari kuisioner yang dibagikan kepada responden.Tehnik analisis data yang digunakan adalah pendekatan kuantitatif. Data hasil penelitian dianalisis menggunakan analisis regresi berganda. Hasil penelitian menunjukkan bahwa: Budaya kerja berpengaruh terhadap kinerja pegawai artinya apabila budaya kerja meningkat maka kinerja karyawan akan meningkat. Kepemimpinan berpengaruh terhadap kinerja pegawai artinya apabila kepemimpinan yang ada sangat kondusif untuk bekerja maka kinerja karyawan akan meningkat, Disiplin kerja tidak berpengaruh terhadap kinerja pegawai artinya pegawai yang disiplin kerjanya tinggi dan pegawai yang disiplin kerjanya kurang memiliki kinerja yang sama tingginya, Kompensasi berpengaruh terhadap kinerja artinya apabila kompensasi meningkat maka kinerja karyawan akan meningkat, Budaya kerja, kepemimpinan, disiplin kerja dan kompensasi secara bersama-sama berpengaruh terhadap kinerja pegawai, artinya apabila budaya kerja, kepemimpinan, disiplin kerja dan kompensasi  secara bersama-sama mengalami peningkatan maka kinerja karyawan akan meningkat. Kata Kunci:  Budaya Kerja, Kepemimpinan, Disiplin Kerja, Kompensasi, Kinerja   Pegawai.

Estimation of the reliability of determination of filtering parameters of productive formations using multi-dimensional regression analysis

2021 ◽  
pp. 50-59
Author(s):  
D.A. Martyushev ◽  
◽  
I.N. Ponomareva ◽  
V.I. Galkin ◽  
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression Analysis ◽  
Oil Fields ◽  
Technological Parameters ◽  
Recovery Method ◽  
Statistical Estimates ◽  
Production Analysis ◽  
Perm Krai ◽  
Pressure Stabilization

Determination of reliable values of filtration parameters of productive strata is the most important task of monitoring the processes of developing reserves. One of the most effective methods for solving the problem is hydrodynamic testing of wells using the pressure recovery method, as well as modern methods - the pressure stabilization method and the method based on production analysis (Decline Analyze). This article is devoted to the assessment of the reliability of these three methods in determining the filtration parameters of terrigenous and carbonate productive deposits of oil fields in the Perm Krai. To solve the problem, multivariate regression analysis was used. A series of multidimensional mathematical models of well flow rates was built using filtration parameters determined for each of the methods. It is proposed to consider the filtration parameters included in the models with the maximum statistical estimates of performance as the most reliable. With regard to the fields under consideration, it was found that in terrigenous reservoirs, all three methods demonstrate stable results. In carbonate reservoirs, reliable values of filtration parameters are determined by processing pressure build-up curves. Pressure stabilization and production analysis methods show less robust results and require additional research in order to develop sound recommendations for their practical application. Keywords: permeability; skin factor; pressure stabilization curve; decline analyze; liquid flow rate; geological and technological parameters; oil deposit; carbonate deposits.

Study on Calculation of Rock Pressure and Determination of Depth for Shallow Asymmetric Tunnel

2011 ◽  
Vol 261-263 ◽  
pp. 1034-1038 ◽  
Author(s):  
Xiao Jun Zhou
Keyword(s):  
Rock Pressure ◽  
Calculation Method ◽  
Tunnel Structure ◽  
The Way

The method to calculate rock pressure for shallow asymmetric tunnel is analyzed by means of taking a mountainous tunnel with semicircular crown and straight sidewall as the object in this paper. The calculation method of tunnel rock pressure has been presented with consideration of both tunnel structure size and its overburden depth. Finally the way to determine the shallow or profound depth of asymmetric tunnel is also obtained.

Sign in / Sign up

Export Citation Format

Share Document