scholarly journals A case study on optimizing the geotechnical site investigation using Kriging method

2014 ◽  
Vol 17 (3) ◽  
pp. 54-61
Author(s):  
Chung Le Thuy Kieu ◽  
Ha Thi San Phan ◽  
Son Minh Le
Keyword(s):  
Mechanical Properties ◽  
Interpolation Method ◽  
Real Data ◽  
Site Investigation ◽  
Kriging Method ◽  
Geotechnical Investigation ◽  
The Real ◽  
Investigation Area ◽  
Project Risks

One of the major tasks in geotechnical investigation is the stratigraphy distribution and the physico-mechanical properties of strata encountered in the investigation area. In order to reduce the project risks associated with uncertainties in predicting the distribution of strata (in area and in depth), a geotechnical investigation plan is usually designed with as many as possible of the boreholes. And this, in turn, increases the investigation costs. On the contrary, the owner of the project is expected to gather as much information about the subsurface soils as possible at the lowest cost. To deal with this contradiction, geotechnical engineers not only mobilize their knowledge on the investigation area and their experiences in the field of geotechnical investigation but also should be supported by geostatistical tools, especially the interpolation method of Kriging. Based on the real data taken from a geotechnical investigation project in Saigon (Vietnam), this paper will introduce two geotechnical investigation plans: a) an actual investigation plan; b) an optimized investigation plan designed with the support of Kriging method. From these two plans, the ability of Kriging in optimization of geotechnical investigation will be evaluated.

scholarly journals Spread of Epidemic Disease on Edge-Weighted Graphs from a Database: A Case Study of COVID-19

2021 ◽  
Vol 18 (9) ◽  
pp. 4432
Author(s):  
Ronald Manríquez ◽  
Camilo Guerrero-Nancuante ◽  
Felipe Martínez ◽  
Carla Taramasco
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Preventive Measures ◽  
Weighted Graph ◽  
Real Data ◽  
Sir Model ◽  
Weighted Graphs ◽  
Epidemic Disease ◽  
The Real

The understanding of infectious diseases is a priority in the field of public health. This has generated the inclusion of several disciplines and tools that allow for analyzing the dissemination of infectious diseases. The aim of this manuscript is to model the spreading of a disease in a population that is registered in a database. From this database, we obtain an edge-weighted graph. The spreading was modeled with the classic SIR model. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics. Moreover, a deterministic approximation is provided. With database COVID-19 from a city in Chile, we analyzed our model with relationship variables between people. We obtained a graph with 3866 vertices and 6,841,470 edges. We fitted the curve of the real data and we have done some simulations on the obtained graph. Our model is adjusted to the spread of the disease. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics, in this case with real data of COVID-19. This valuable information allows us to also include/understand the networks of dissemination of epidemics diseases as well as the implementation of preventive measures of public health. These findings are important in COVID-19’s pandemic context.

Comparative Study of Traffic Flow Models: A Case study for Al-Doura Expressway in Baghdad City

2021 ◽  
Author(s):  
Husam Al-Faris ◽  
◽  
Mahmood Al-Obaidi ◽  
Keyword(s):  
Maximum Flow ◽  
Real Data ◽  
Coefficient Of Determination ◽  
The Real ◽  
Flow Models ◽  
Traffic Capacity ◽  
Speed Flow ◽  
Traffic Flow Models ◽  
Two Sides

Speed, flow, and density are the most effectiveness traffic parameters. For the study area, all required speed-flow data were collected manually by special team using the necessary survey equipment from 11:00am-6:00pm during one week within different days for each direction of Al-Doura Expressway in Baghdad city. Greenshield Model (GSM) and Greenberg Model (GBM) have been analyzed using EXCEL software to compare the implementation results of the real data. The calibration of regression analysis studies were used and the statistical coefficient of person's correlation (R) and coefficient of determination (R2) were computed. It was found the following: For the direction of Baghdad greater bridge to Al-Rasheed camp, models according to GSM and GBM are us=110.84–0.37k and us=59.24ln(320.72/k) respectively. For the second direction, the models are us=64.04–0.10k and us=11.99ln(2937.5/k) respectively. All models are achieved strong correlation between variables ( between 0.88-0.98, and high R2 between 0.77-0.97). The models according to Greenberg ascertain better fit due to values between 0.95-0.98 and due to R2 values between 0.90-0.97 which are closest to 1.00 and these represent the coefficients for the first and second directions respectively. Finally, u0 and k0 at maximum flow have been considered based on GBM showing that the traffic capacity equal to 6990.08 and 12959.17 vph for the two sides. This mean that Al-Doura Expressway serve the study area with a 35-65 of directional split. This distribution of traffic between the two directions is nearly coincide with the distribution of the real data 34.6-65.4.

The Kriging method of ionospheric parameter f0F2 instantaneous mapping

1996 ◽  
Vol 39 (4) ◽  
Author(s):  
I. Stanislawska ◽  
G. Juchnikowski ◽  
L. R. Cander
Keyword(s):  
Spatial Variation ◽  
Experimental Situation ◽  
Real Data ◽  
Mapping Method ◽  
Ionospheric Parameter ◽  
Kriging Method ◽  
Restricted Area ◽  
The Real ◽  
Satisfactory Accuracy ◽  
Ionospheric Characteristic

This paper discusses the spatial variation of the ionospheric characteristic f0F2 in the PRIME area (35o-55o N,- 10°-20°E) expressed in terms of the variogram and the Kriging mapping method as modelling of an instantaneous experimental situation. It is shown that by applying this method to the real data it is possible to estimate f0F2 at any unsampled location within the restricted area with satisfactory accuracy.

Advanced IR-OBIRCH Analysis Technique for High Isb Failure Analysis

2010 ◽  
Author(s):  
Kuo Hsiung Chen ◽  
Wen Sheng Wu ◽  
Yu Hsiang Shu ◽  
Jian Chan Lin
Keyword(s):  
Failure Analysis ◽  
Failure Mechanisms ◽  
Fault Localization ◽  
Resistance Change ◽  
The Real ◽  
Analysis Techniques ◽  
Analysis Technique ◽  
Leakage Failure ◽  
Failure Site

Abstract IR-OBIRCH (Infrared Ray – Optical Beam Induced Resistance Change) is one of the main failure analysis techniques [1] [2] [3] [4]. It is a useful tool to do fault localization on leakage failure cases such as poor Via or contact connection, FEoL or BEoL pattern bridge, and etc. But the real failure sites associated with the above failure mechanisms are not always found at the OBIRCH spot locations. Sometimes the real failure site is far away from the OBIRCH spot and it will result in inconclusive PFA Analysis. Finding the real failure site is what matters the most for fault localization detection. In this paper, we will introduce one case using deep sub-micron process generation which suffers serious high Isb current at wafer donut region. In this case study a BEoL Via poor connection is found far away from the OBIRCH spots. This implies that layout tracing skill and relation investigation among OBIRCH spots are needed for successful failure analysis.

Single Depth View Based Real-Time Reconstruction of Hand-Object Interactions

2021 ◽  
Vol 40 (3) ◽  
pp. 1-12
Author(s):  
Hao Zhang ◽  
Yuxiao Zhou ◽  
Yifei Tian ◽  
Jun-Hai Yong ◽  
Feng Xu
Keyword(s):  
Real Time ◽  
Synthetic Data ◽  
Real Data ◽  
Depth Image ◽  
Real Time System ◽  
The Real ◽  
Time Performance ◽  
Contact Constraint ◽  
Object Shapes ◽  
Object Interactions

Reconstructing hand-object interactions is a challenging task due to strong occlusions and complex motions. This article proposes a real-time system that uses a single depth stream to simultaneously reconstruct hand poses, object shape, and rigid/non-rigid motions. To achieve this, we first train a joint learning network to segment the hand and object in a depth image, and to predict the 3D keypoints of the hand. With most layers shared by the two tasks, computation cost is saved for the real-time performance. A hybrid dataset is constructed here to train the network with real data (to learn real-world distributions) and synthetic data (to cover variations of objects, motions, and viewpoints). Next, the depth of the two targets and the keypoints are used in a uniform optimization to reconstruct the interacting motions. Benefitting from a novel tangential contact constraint, the system not only solves the remaining ambiguities but also keeps the real-time performance. Experiments show that our system handles different hand and object shapes, various interactive motions, and moving cameras.

scholarly journals A fractional order epidemic model for the simulation of outbreaks of Ebola

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Weiqiu Pan ◽  
Tianzeng Li ◽  
Safdar Ali
Keyword(s):  
Numerical Solution ◽  
Root Mean Square ◽  
Fractional Order ◽  
Relative Error ◽  
Numerical Solutions ◽  
Real Data ◽  
Mean Square ◽  
Order Model ◽  
The Real ◽  
Fractional Orders

AbstractThe Ebola outbreak in 2014 caused many infections and deaths. Some literature works have proposed some models to study Ebola virus, such as SIR, SIS, SEIR, etc. It is proved that the fractional order model can describe epidemic dynamics better than the integer order model. In this paper, we propose a fractional order Ebola system and analyze the nonnegative solution, the basic reproduction number $R_{0}$ R 0 , and the stabilities of equilibrium points for the system firstly. In many studies, the numerical solutions of some models cannot fit very well with the real data. Thus, to show the dynamics of the Ebola epidemic, the Gorenflo–Mainardi–Moretti–Paradisi scheme (GMMP) is taken to get the numerical solution of the SEIR fractional order Ebola system and the modified grid approximation method (MGAM) is used to acquire the parameters of the SEIR fractional order Ebola system. We consider that the GMMP method may lead to absurd numerical solutions, so its stability and convergence are given. Then, the new fractional orders, parameters, and the root-mean-square relative error $g(U^{*})=0.4146$ g ( U ∗ ) = 0.4146 are obtained. With the new fractional orders and parameters, the numerical solution of the SEIR fractional order Ebola system is closer to the real data than those models in other literature works. Meanwhile, we find that most of the fractional order Ebola systems have the same order. Hence, the fractional order Ebola system with different orders using the Caputo derivatives is also studied. We also adopt the MGAM algorithm to obtain the new orders, parameters, and the root-mean-square relative error which is $g(U^{*})=0.2744$ g ( U ∗ ) = 0.2744 . With the new parameters and orders, the fractional order Ebola systems with different orders fit very well with the real data.

Petrophysical Facies Classification Based on Fuzzy Inference Networks

2013 ◽  
Vol 634-638 ◽  
pp. 4017-4021
Author(s):  
Jun Hui Pan ◽  
Hui Wang ◽  
Xiao Gang Yang
Keyword(s):  
Fuzzy Inference ◽  
Fuzzy Reasoning ◽  
Real Data ◽  
Analysis Data ◽  
Classification Model ◽  
Core Analysis ◽  
Development Zone ◽  
The Real ◽  
Facies Classification ◽  
Quantitative Indicators

Aiming at the petrophysical facies recognition, a novel identification method based on the weighted fuzzy reasoning networks is proposed in the paper. First, the types and indicators are obtained from core analysis data and the results given by experts, and then the standard patterning database of reservoir petrophysical facies is established. Secondly, by integrating expert experiences and quantitative indicators to reflect the change of petrophysical facies, the classification model of petrophysical facies based on the weighted fuzzy reasoning networks is designed. The preferable application results are presented by processing the real data from the Sabei development zone of Daqing oilfield.

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