A New Approach to Identify Big Rocks with Applications to the Mining Industry

2002 ◽  
Vol 8 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Enrique Cabello ◽  
M.Araceli Sánchez ◽  
Javier Delgado
Keyword(s):  
Mining Industry ◽  
New Approach

scholarly journals The New Approach of Using Image and Range Based Methods for Quality Control of Dimension Stone

2017 ◽  
Vol 103 (1) ◽  
pp. 66-77
Author(s):  
Volodymyr Levytskyi
Keyword(s):  
Image Processing ◽  
Quality Control ◽  
Imaging Technique ◽  
Mining Industry ◽  
Range Data ◽  
Dimension Stone ◽  
Computer Algorithms ◽  
Automated Identification ◽  
New Approach ◽  
Special Software

Abstract The basis for the quality control of commodity dimension stone blocks for mining industry is the study of fracturing. The identification of fracturing in rock masses is one of the most important aspects in rock mass modelling. Traditional methods for determination properties of fracturing are difficult and hazardous. This paper describes a new approach of fracturing identification, based on image and range data, which realized by image processing and special software. In this article describes a method using new computer algorithms that allow for automated identification and calculation of fracturing parameters. Different digital filters for image processing and mathematical dependences are analyzed. The digital imaging technique has the potential for being used in real time applications. The purpose of this paper is the accurate and fast mapping of fracturing in some walls of the Bukinsky gabbro deposit.

Discovery, Innovation, and Learning in the Mining Business – New Ways Forward for an Old Industry

SEG Discovery ◽  
2011 ◽  
pp. 1-22
Author(s):  
M. Stephen Enders ◽  
Cliff Saunders
Keyword(s):  
Business Models ◽  
New Technology ◽  
Mining Industry ◽  
Accelerated Learning ◽  
New Approach ◽  
New Business ◽  
Business Simulations ◽  
New Business Models

ABSTRACT There is a huge opportunity to develop new business models for the mining industry. Exploration and discovery must be based on a model of cooperation and collaboration rather than competition. Innovation and the development of new technology must be based on what we need to do to transform the business for tomorrow, in addition to what we can do today. Accelerated learning based on business simulations offers an excellent new approach to discovering what needs to be changed, to developing new and creative approaches to actually change our cultures of practice, and to implementing those changes as rapidly as possible. Simply put: we have to change our mindset to change our mine set.

Prediction and Assessment of the Occupational Risks in the Mining Industry Using the Bayess Theorem

2021 ◽  
pp. 79-87
Author(s):  
V.V. Utyuganova ◽  
◽  
V.S. Serdyuk ◽  
A.I. Fomin ◽  
◽  
...  
Keyword(s):  
High Performance ◽  
Occupational Safety ◽  
Preventive Measures ◽  
Mining Industry ◽  
New Approach ◽  
Cause And Effect ◽  
Occupational Risks ◽  
Trust Networks ◽  
Bayes’S Theorem ◽  
Bayes's Theorem

The analysis of existing methods for assessing occupational risks is carried out, and the need for searchinga fundamentally new approach to the assessment and prediction of risks in the mining industry is substantiated. Based on the results of the analysis of modern methods and technologies, it is established that the development of the methodology for assessment and prediction of the occupational risks using Bayes's theorem has significant advantages: simplicity and accessibility for the occupational safety specialists, reproducibility considering many factors of working conditions, as well as the possibility of preventive measures prediction and development. The application of Bayes's theorem is promising in determining cause-and-effect relationships and predicting the occupational morbidity of the employees, which is also an advantage of this methodology for managing occupational risks in the mining industry. Bayes's approaches to modeling are characterized by high performance, intuitively clear in the form of a graph. The example is given concerning the application of Bayes's theorem to assess the risk of a fatal incident taking into account the statistics on the mining industry. Also, the simplest types of Bayes’s trust networks were developed reflecting the possibility of establishing cause-and-effect relationships (both for assessment and prediction), and are the basis for further modeling.

Portfolio diversification during monetary loosening policy

2015 ◽  
Vol 16 (2) ◽  
pp. 197-214
Author(s):  
Kamil Makiel
Keyword(s):  
Financial Stability ◽  
Mining Industry ◽  
Portfolio Risk ◽  
New Approach ◽  
Content Type ◽  
Market Portfolio ◽  
The Us ◽  
The Usa ◽  
The Impact ◽  
A Company

Purpose – The purpose of the paper is to analyze the impact of quantitative easing (QE) performed in the USA on relationship between assets mainly from mining and oil industries. Based on the empirical results, the method of diversified portfolio creation has been proposed. Design/methodology/approach – Nine DCC-GARCH-type models have been estimated for each group centered around a main asset: a company from the oil or mining industry, the appropriate currency pair for its market of origin, commodities which could be used for the diversification of risk involved in investing in a portfolio containing the company, and the largest company from the same industry listed on the US market. Each series of conditional correlations was analyzed with regard to the changes that occurred during the various stages of QE. Findings – The correlations are shown to be stabilizing in the successive stages of QE. The most significant changes in the distribution of correlations can be observed after the first stage of QE. The effects of QE are evident not only in the USA but also in other countries; however, the level of its influence varies between different markets and assets. It is possible to diversify the inflation, currency and market portfolio risk by appropriately chosen asset decomposition. Research limitations/implications – The DCC model is limited, so to provide more precise results, more sophisticated models can be estimated and compared. Practical implications – The paper investigate the fact of stabilization in financial markets relations. The findings may prove the validity of continuation of QE. A portfolio creation method has been proposed – it has been stated that including commodity in portfolio is more appropriate then only-bond–equity mix. Originality/value – The new approach of analyzing financial stability has been proposed – the control for stability of conditional correlation.

A new mapping outcome method to measure social return on investment: a case study in Peru

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cesar Sandro Saenz
Keyword(s):  
Mining Industry ◽  
New Approach ◽  
Content Type ◽  
Study Approach ◽  
Direct Observations ◽  
Social Return On Investment ◽  
Multiple Case ◽  
Corporate Social ◽  
Project Lifecycle

Purpose This paper aims to contribute a new way to carry out outcome mapping (OM) for corporate social responsibility (CSR) projects based on three elements: the lifecycle of the CSR project, its stakeholders and sustainability outcomes. To develop this new OM, CSR projects in the mining industry are analyzed to discover their economic, environment and societal impacts. Design/methodology/approach A multiple-case study approach is used. Data were collected through direct observations and documents, and complementary attitudinal feedback was also obtained from interviews with community, government and industry leaders. Findings Mapping the CSR project lifecycle, stakeholders and sustainability outcomes simultaneously generate a better approximation of the real impact of the projects that are analyzed. Each stage of the lifecycle reveals new sustainability outcomes for each stakeholder. Originality/value This paper provides a new approach to OM and therefore provides a new way to assess CSR projects.

scholarly journals Solution of the Problem of Odometric Positioning of a Mining Machine under the Ground by Using a Kalman Filter

2021 ◽  
Vol 21 (2) ◽  
pp. 123-135
Author(s):  
I.M. Shevelev ◽  
◽  
A.V. Zatonskiy
Keyword(s):  
Kalman Filter ◽  
Simulation Model ◽  
Industrial Development ◽  
Mining Industry ◽  
Random Variable ◽  
Mining Machine ◽  
Technical Solution ◽  
New Approach ◽  
Processing Measurement ◽  
Noisy Measurements

In the modern mining industry, an urgent technical challenge is the introduction of automatic systems that provide orientation and positioning of mining machines during the development of industrial seams. There are several basic technologies used for positioning combines underground, but their scope is limited by various mining, geological and technological factors. In the conditions of industrial development of VKMKS seams, the vast majority of them are not suitable. Aim. To develop a new approach to the problem of odometric positioning of a mining machine under the ground, as well as to create a simulation model that allows with the required degree of accuracy to determine the current and predicted distance of the miner from the start of production in conditions of noisy measurements. Materials and methods. As a technical solution to the task, the use of BLE (Bluetooth Low Energy) technology is proposed: iBeacon beacons will be dropped in the direction of the combine's movement, and a sensor attached to the rear of the loading bunker will read the distance to the beacon. For simulation modeling of uncertainty during the movement of the combine, the hypothesis of the normal distribution of the speed of movement on sections of random length was considered. When simulating the dropping of the beacon, the hypothesis was used that the scattering value of the beacon upon falling is a two-dimensional normally distributed random variable. Noisy measurements were generated by a stochastic process with increasing scatter boundaries as the sensor moved away from the beacon. The Kalman filter was used as a tool for processing measurement noise. Results. A model has been created that simulates random speeds of the combine's movement on sections of random length, and also a random spread when throwing off Blue¬tooth beacons has been simulated. To generate sensor measurements, an algorithm has been deve¬loped that takes into account the increase in the noise level of the readings when moving away from the nearest dropped beacon. To process the simulated measurements and correctly determine the distance of the beacon-sensor, the Kalman filtering algorithm was used. Conclusion. The proposed approach and the created simulation model make it possible, with a given degree of accuracy, to determine and predict the distance to the withdrawing shearer when mining industrial seams.

The O–C diagrams of minor planets − a new approach to modelling the rotation

1999 ◽  
Vol 173 ◽  
pp. 185-188
Author(s):  
Gy. Szabó ◽  
K. Sárneczky ◽  
L.L. Kiss
Keyword(s):  
Error Analysis ◽  
Time Dependence ◽  
Theoretical Work ◽  
Minor Planet ◽  
Minor Planets ◽  
New Approach ◽  
Preliminary Results ◽  
Ccd Observations

AbstractA widely used tool in studying quasi-monoperiodic processes is the O–C diagram. This paper deals with the application of this diagram in minor planet studies. The main difference between our approach and the classical O–C diagram is that we transform the epoch (=time) dependence into the geocentric longitude domain. We outline a rotation modelling using this modified O–C and illustrate the abilities with detailed error analysis. The primary assumption, that the monotonity and the shape of this diagram is (almost) independent of the geometry of the asteroids is discussed and tested. The monotonity enables an unambiguous distinction between the prograde and retrograde rotation, thus the four-fold (or in some cases the two-fold) ambiguities can be avoided. This turned out to be the main advantage of the O–C examination. As an extension to the theoretical work, we present some preliminary results on 1727 Mette based on new CCD observations.

A New Approach to the Demonstration of Oxidase-Localization Using Tannic Acid Or Catechin

1973 ◽  
Vol 31 ◽  
pp. 698-699
Author(s):  
V. Mizuhira ◽  
Y. Futaesaku
Keyword(s):  
Cross Section ◽  
Tannic Acid ◽  
Elastic Fiber ◽  
The Other ◽  
New Approach ◽  
Tissue Block ◽  
Active Reaction ◽  
The Cross

Previously we reported that tannic acid is a very effective fixative for proteins including polypeptides. Especially, in the cross section of microtubules, thirteen submits in A-tubule and eleven in B-tubule could be observed very clearly. An elastic fiber could be demonstrated very clearly, as an electron opaque, homogeneous fiber. However, tannic acid did not penetrate into the deep portion of the tissue-block. So we tried Catechin. This shows almost the same chemical natures as that of proteins, as tannic acid. Moreover, we thought that catechin should have two active-reaction sites, one is phenol,and the other is catechole. Catechole site should react with osmium, to make Os- black. Phenol-site should react with peroxidase existing perhydroxide.

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