Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

177
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
177
Stratified Sampling Method01:16

Stratified Sampling Method

11.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
11.7K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

49
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
49
Modeling and Similitude01:12

Modeling and Similitude

246
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
246
Fischer Projections02:18

Fischer Projections

13.1K
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines.
13.1K
Cluster Sampling Method01:20

Cluster Sampling Method

11.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The role of lumbar core muscle morphology in residual chronic low back pain after PLIF: a retrospective analysis.

Frontiers in surgery·2026
Same author

Repeatability and agreement of planar lumbar range of motion measured by dynamic fluoroscopy and optical motion capture in an ovine cadaveric model.

Frontiers in bioengineering and biotechnology·2026
Same author

Associations of grip strength and muscle mass with incident complications in patients with type 2 diabetes: a prospective cohort study.

Diabetes research and clinical practice·2026
Same author

Retraction Note: M3 muscarinic acetylcholine receptors regulate epithelial-mesenchymal transition, perineural invasion, and migration/metastasis in cholangiocarcinoma through the AKT pathway.

Cancer cell international·2026
Same author

GWKNN: an enhanced k-nearest neighbor algorithm with G metric reconstruction and Grey Wolf Optimizer.

Scientific reports·2026
Same author

Lightweight target detection and multi target tracking for UAV inspection in open pit mines.

Scientific reports·2026

Related Experiment Video

Updated: Jun 9, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

8.6K

Research on a coal seam modeling construction method based on improved kriging interpolation.

Jing Zhang1, Guangwei Liu2

  • 1College of Mining, Liaoning Technical University, Fuxin, 123000, China.

Scientific Reports
|October 28, 2024
PubMed
Summary

This study introduces an improved kriging interpolation method for coal seam modeling, enhancing accuracy and reducing memory usage. The new approach ensures smoother transitions and more precise coal quality estimations in mining applications.

Keywords:
Complex coal seamKriging interpolationLocal interpolation algorithm for an abnormally large-area triangulation meshLocal redundant interpolation point optimization algorithmNonuniform boundary adaptive local interpolation algorithmOpen-pit mine

More Related Videos

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

9.3K
Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.2K

Related Experiment Videos

Last Updated: Jun 9, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

8.6K
Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

9.3K
Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.2K

Area of Science:

  • Geological modeling
  • Geostatistics
  • Computational geology

Background:

  • Kriging interpolation faces challenges with large anomalous triangulations, invalid interpolations, and uneven boundary interpolations in coal seam modeling.
  • Existing methods struggle to accurately represent complex geological formations and can lead to inefficient data handling.

Purpose of the Study:

  • To develop an improved kriging interpolation method for accurate and efficient coal seam modeling.
  • To address limitations in existing interpolation techniques for geological applications.

Main Methods:

  • Introduced kriging interpolation and analyzed its inherent problems.
  • Developed a local interpolation algorithm for large anomalous triangulations.
  • Implemented an optimization algorithm for locally redundant interpolation points.
  • Designed a nonuniform boundary adaptive local interpolation algorithm.

Main Results:

  • Successfully applied the improved method to the Dananhu No. 2 open-pit mine coal seam model.
  • Reduced memory space by approximately 27,000 KB without altering coal seam morphology.
  • Improved coal seam transition stiffness and prevented boundary positioning inaccuracies.
  • Decreased the error rate in coal quality estimation by 62.69%.

Conclusions:

  • The improved kriging interpolation method enhances the realism and accuracy of coal seam models.
  • This approach offers significant memory savings and improves the precision of geological estimations.
  • The method provides valuable data support for mining planning and cost reduction, with potential for broader application in mine modeling.