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Статті в журналах з теми "Enhanced Mine Blast Algorithm"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Dr.K.Lenin. "ENHANCED MINE BLAST ALGORITHM FOR SOLVING REACTIVE POWER PROBLEM." International Journal of Research - Granthaalayah 5, no. 9 (2017): 206–16. https://doi.org/10.5281/zenodo.1002646.

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Анотація:

In this paper Enhanced Mine Blast (EMB) algorithm which based on mine bomb explosion concept is proposed to solve optimal reactive power problem.The clue of the projected Enhanced Mine Blast (EMB) algorithm is based on the examination of a mine bomb explosion, in which the thrown pieces of shrapnel crash with other mine bombs near the explosion area resulting in their explosion. In this paper convergence speed has been enhanced. Proposed Enhanced Mine Blast (EMB) algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the superior

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2

Lenin, K. "ENHANCED MINE BLAST ALGORITHM FOR SOLVING REACTIVE POWER PROBLEM." International Journal of Research -GRANTHAALAYAH 5, no. 9 (2017): 206–16. http://dx.doi.org/10.29121/granthaalayah.v5.i9.2017.2232.

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Анотація:

In this paper Enhanced Mine Blast (EMB) algorithm which based on mine bomb explosion concept is proposed to solve optimal reactive power problem.The clue of the projected Enhanced Mine Blast (EMB) algorithm is based on the examination of a mine bomb explosion, in which the thrown pieces of shrapnel crash with other mine bombs near the explosion area resulting in their explosion. In this paper convergence speed has been enhanced. Proposed Enhanced Mine Blast (EMB) algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the superior

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3

Hanifehnia, Jalil, Akbar Esmaeilzadeh, Reza Mikaeil, and Solat Atalou. "PREDICTION OF BLAST-INDUCED FLYROCK BY USING NEURAL-IMPERIALIST COMPETITIVE METHOD (CASE STUDY: SUNGUN COPPER MINE)." Rudarsko-geološko-naftni zbornik 39, no. 5 (2024): 109–20. https://doi.org/10.17794/rgn.2024.5.8.

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This research focuses on conducting studies that predict the distance of blast-induced flyrock, which is an undesirable environmental phenomenon in open-pit mines. While there are experimental methods available for predicting blastinduced flyrock, the complex process of assessing the distance of flyrock has reduced the efficiency of these approaches. This study employs artificial intelligence methods and statistical techniques to forecast the flyrock distance in the Sungun copper mine. Thus, an Artificial Neural Network (ANN-MLP) and a new hybrid model of Artificial Neural Network (ANN) optimi

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4

He, Biao, Sai Hin Lai, Ahmed Salih Mohammed, Mohanad Muayad Sabri Sabri, and Dmitrii Vladimirovich Ulrikh. "Estimation of Blast-Induced Peak Particle Velocity through the Improved Weighted Random Forest Technique." Applied Sciences 12, no. 10 (2022): 5019. http://dx.doi.org/10.3390/app12105019.

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Blasting is one of the primary aspects of the mining operations, and its environmental effects interfere with the safety of lives and property. Therefore, it is essential to accurately estimate the environmental impact of blasting, i.e., peak particle velocity (PPV). In this study, a regular random forest (RF) model was developed using 102 blasting samples that were collected from an open granite mine. The model inputs included six parameters, while the output is PPV. Then, to improve the performance of the regular RF model, five techniques, i.e., refined weights based on the accuracy of decis

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5

Singh, Gurasis. "Mine Blast Algorithm." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (2018): 519–25. http://dx.doi.org/10.22214/ijraset.2018.4091.

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6

van Duijvenbode, J. R., and M. S. Shishvan. "Stochastic analysis of dig limit optimization using simulated annealing." Journal of the Southern African Institute of Mining and Metallurgy 122, no. 12 (2023): 715–24. http://dx.doi.org/10.17159/2411-9717/1036/2022.

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The results of dig limit delineation in open pit mining are never truly optimized due to gaps in the underlying data, such as insufficient sampling. Aside from the data uncertainty, there is also an influence on the final dig limit by either humans or by the heuristic character of an optimization method like simulated annealing. Several dig limit optimizers have been published, which can replace the manual dig-limits designing process. However, these dig limit designs are generally not adapted to account for this heuristic character. In this paper we present a stochastic analysis tool that can

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7

Lenin, Kanagasabai. "True power loss reduction by augmented mine blast algorithm." International Journal of Informatics and Communication Technology (IJ-ICT) 9, no. 2 (2020): 83. http://dx.doi.org/10.11591/ijict.v9i2.pp83-91.

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In this paper, Mine Blast Algorithm (MBA) has been intermingled with Harmony Search (HS) algorithm for solving optimal reactive power dispatch problem. MBA is based on explosion of landmines and HS is based on Creativeness progression of musicians – both are hybridized to solve the problem. In MBA Initial distance of shrapnel pieces are reduced gradually to allow the mine bombs search the probable global minimum location in order to amplify the global explore capability. Harmony search (HS) imitates the music creativity process where the musicians supervise their instruments’ pitch by searchin

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8

Kanagasabai, Lenin. "True power loss reduction by augmented mine blast algorithm." International Journal of Informatics and Communication Technology (IJ-ICT) 9, no. 2 (2020): 83–91. https://doi.org/10.11591/ijict.v9i2.pp83-91.

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Анотація:

In this paper, Mine Blast Algorithm (MBA) has been intermingled with Harmony Search (HS) algorithm for solving optimal reactive power dispatch problem. MBA is based on explosion of landmines and HS is based on Creativeness progression of musicians-both are hybridized to solve the problem. In MBA Initial distance of shrapnel pieces are reduced gradually to allow the mine bombs search the probable global minimum location in order to amplify the global explore capability. Harmony search (HS) imitates the music creativity process where the musicians supervise their instruments’ pitch by sear

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9

Zhang, Xinlei, Yunbo Zhou, Xianhui Wang, and Zongqian Wang. "Modelling and analysis of the vehicle underbody and the occupants subjected to a shallow-buried-mine blast impulse." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 231, no. 2 (2016): 214–24. http://dx.doi.org/10.1177/0954407016651353.

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Анотація:

When a charge is ignited at the bottom of a vehicle, the underbody and the occupants are the most vulnerable. The protection of the vehicle underbody is still a significant problem in the environment of a buried-mine blast impulse. The first part of this study presents an algorithm that can be used to simulate a shallow-buried-mine blast. Models using the multiple-material arbitrary Lagrangian–Eulerian algorithm and the initial-impulse mine algorithm respectively were constructed on the basis of experiments carried out by Anderson et al. The accuracy and superiority of the initial-impulse mine

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10

Lee, Byung Moo, and Rui J. P. de Figueiredo. "BLAST PERFORMANCE IN MIMO WIRELESS COMMUNICATION SYSTEMS." SYNCHROINFO JOURNAL 8, no. 1 (2022): 25–29. http://dx.doi.org/10.36724/2664-066x-2022-8-1-25-29.

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Recently, a new detection algorithm for the Vertical Bell Laboratories Layered Space Time (V-BLAST) system, which we call Enhanced-V-BLAST, or simply E-V-BLAST, was proposed. V-BLAST has demonstrated very high spectral efficiency, there is a wide gap between the original V-BLAST algorithm and the Maximum Likelihood (ML) algorithm. Recently, some algorithms have been presented to make narrower this gap. In a new detection algorithm (Enhanced (E) V BLAST) for V-BLAST system was presented which showed significantly better performance and flexibility than the original V-BLAST detection. The E-V-BL

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11

Yadav, Anupam, Ali Sadollah, Neha Yadav, and J. H. Kim. "Self-adaptive global mine blast algorithm for numerical optimization." Neural Computing and Applications 32, no. 7 (2019): 2423–44. http://dx.doi.org/10.1007/s00521-019-04009-y.

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12

Lee, Byung Moo, and Rui J. P. de Figueiredo. "ENHANCED V-BLAST PERFORMANCE IN MIMO WIRELESS COMMUNICATION SYSTEMS." SYNCHROINFO JOURNAL 7, no. 6 (2021): 26–30. http://dx.doi.org/10.36724/2664-066x-2021-7-6-26-30.

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Анотація:

We have presented performance analysis of E-V-BLAST and according to this analysis, we found some useful characteristics of the E-V-BLAST algorithm for performance and complexity trade-off. Increasing S is applying ML detection with depth T for some most error likely signals. Increasing T is improving the ML detection with depth T. Increasing T will not affect so much to the performance of E-V-BLAST at high SNR. The importance of increasing T depends on S. Recently, a new detection algorithm for the Vertical Bell Laboratories Layered Space Time (V-BLAST) system, which we call Enhanced-V-BLAST,

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13

Shahzad, Mohsin, Qazi Shafiullah, Waseem Akram, Muhammad Arif, and Barkat Ullah. "Reactive Power Support in Radial Distribution Network Using Mine Blast Algorithm." Elektronika ir Elektrotechnika 27, no. 4 (2021): 33–40. http://dx.doi.org/10.5755/j02.eie.28917.

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The passive power distribution networks are prone to imperfect voltage profile and higher power losses, especially at the far end of long feeders. The capacitor placement is studied in this article using a novel Mine Blast Algorithm (MBA). The voltage profile improvement and reduction in the net annual cost are also considered along with minimizing the power loss. The optimization problem is formulated and solved in two steps. Firstly, the Voltage Stability Index (VSI) is used to rank the nodes for placement of the capacitors. Secondly, from the priority list of nodes in the previous step, the

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14

Salleh, Mohd Najib Mohd, and Kashif Hussain. "Accelerated Mine Blast Algorithm for ANFIS Training for Solving Classification Problems." International Journal of Software Engineering and Its Applications 10, no. 6 (2016): 161–68. http://dx.doi.org/10.14257/ijseia.2016.10.6.13.

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15

El-Fergany, Attia. "Efficient Tool to Characterize Photovoltaic Generating Systems Using Mine Blast Algorithm." Electric Power Components and Systems 43, no. 8-10 (2015): 890–901. http://dx.doi.org/10.1080/15325008.2015.1014579.

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16

Sadollah, Ali, Ardeshir Bahreininejad, Hadi Eskandar, and Mohd Hamdi. "Mine blast algorithm for optimization of truss structures with discrete variables." Computers & Structures 102-103 (July 2012): 49–63. http://dx.doi.org/10.1016/j.compstruc.2012.03.013.

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17

Sadollah, Ali, Ardeshir Bahreininejad, Hadi Eskandar, and Mohd Hamdi. "Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems." Applied Soft Computing 13, no. 5 (2013): 2592–612. http://dx.doi.org/10.1016/j.asoc.2012.11.026.

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18

Su, Xin, Kechu Yi, Bin Tian, and Yongjun Sun. "An enhanced detection algorithm for V-BLAST system." Journal of Electronics (China) 23, no. 5 (2006): 773–76. http://dx.doi.org/10.1007/s11767-005-0251-2.

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19

Zhang, Jing, Qingxia Wang, Wannian Guo, and Longlong Li. "A Support Vector Machine Based Prediction on Sensitivity to Coal Ash Blast for Different Degrees of Deterioration." Journal of Sensors 2022 (August 8, 2022): 1–12. http://dx.doi.org/10.1155/2022/7604338.

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Coal ash blast is a potential hazard that causes serious disasters in coal mines. In explosion control, research work on coal ash sensitivity prediction is of practical importance to improve accuracy, reduce blindness of explosion protection measures, and strengthen targets. The potential and destructive characteristics of coal ash blast vary greatly from coal to coal, especially in coal mines with complex and changing environments, where the characteristics of coal ash blast show great variability under the influence of various factors. In addition, due to the lack of systematic and comprehen

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20

Otto, T. J., and G. C. Lindeque. "Improving productivity at an open-pit mine through enhanced short-term mine planning." Journal of the Southern African Institute of Mining and Metallurgy 121, no. 11 (2021): 1–10. http://dx.doi.org/10.17159/2411-9717/1710/2021.

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Productivity is improved by increasing the ratio of output to input. In an operating open-pit mine, improving the productivity of heavy mining equipment (HME) enables the unit cost of production to be reduced. To optimize HME productivity, the Kolomela open-pit iron ore mine transitioned to an enhanced short-term mine planning (STMP) process that supports the application of a manufacturing-type operating model. At the core of the enhanced STMP process is a focus on integration across the open-pit mining value chain. The interdependencies between mining activities are highlighted and emphasized

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21

Yıldız, Betül Sultan. "The mine blast algorithm for the structural optimization of electrical vehicle components." Materials Testing 62, no. 5 (2020): 497–501. http://dx.doi.org/10.3139/120.111511.

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22

Sadollah, Ali, Do Guen Yoo, and Joong Hoon Kim. "Improved mine blast algorithm for optimal cost design of water distribution systems." Engineering Optimization 47, no. 12 (2014): 1602–18. http://dx.doi.org/10.1080/0305215x.2014.979815.

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23

Sadollah, Ali, Hadi Eskandar, and Joong Hoon Kim. "Geometry optimization of a cylindrical fin heat sink using mine blast algorithm." International Journal of Advanced Manufacturing Technology 73, no. 5-8 (2014): 795–804. http://dx.doi.org/10.1007/s00170-014-5881-9.

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24

Ali, E. S., and S. M. Abd Elazim. "Mine blast algorithm for environmental economic load dispatch with valve loading effect." Neural Computing and Applications 30, no. 1 (2016): 261–70. http://dx.doi.org/10.1007/s00521-016-2650-8.

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25

Tong, Yu Jun, Jun Zhou, Wen Ge Xie, and Dan Jia. "Research and Application of an Enhanced Data Mining Algorithm in Virtual Manufacturing Technology." Advanced Materials Research 299-300 (July 2011): 840–43. http://dx.doi.org/10.4028/www.scientific.net/amr.299-300.840.

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Association rules mining is an important branch of data mining. Apriori algorithm is a classical algorithm of mining association rules. Based on the original Apriori algorithm an improved Apriori algorithm is analyzed according to the multiple minimum supports and support difference constraint. An experiment has been conducted and the results showed that the new algorithm can not only mine out the association rules to meet the demands of multiple minimum supports, but also mine out the rare but potentially profitable items’ association rules.

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26

Jain, Ratnesh K., Ramveer S. Kasana, Deepak Kumar Sahu, and Suresh Jain. "eWAP-mine: enhanced mining algorithm to mine web access pattern from WAP-tree." International Journal of Data Mining, Modelling and Management 2, no. 2 (2010): 176. http://dx.doi.org/10.1504/ijdmmm.2010.032147.

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27

., Hoang Nguyen. "Application of the k - nearest neighbors algorithm for predicting blast - induced ground vibration in open - pit coal mines: a case study." Journal of Mining and Earth Sciences 61, no. 6 (2020): 22–29. http://dx.doi.org/10.46326/jmes.2020.61(6).03.

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Blasting is considered as one of the most effective methods for rock fragmentation in open - pit mines. However, its side effects are significant, especially blast - induced ground vibration. Therefore, this study aims to develop and apply artificial intelligence in predicting blast - induced ground vibration in open - pit mines. Indeed, the k - nearest neighbors (KNN) algorithm was taken into account and developed for predicting blast - induced ground vibration at the Deo Nai open - pit coal mine (Vietnam) as a case study. An empirical model (i.e., USBM) was also developed to compare with the

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28

Yu, Zhi, Xiuzhi Shi, Jian Zhou, Xin Chen, and Xianyang Qiu. "Effective Assessment of Blast-Induced Ground Vibration Using an Optimized Random Forest Model Based on a Harris Hawks Optimization Algorithm." Applied Sciences 10, no. 4 (2020): 1403. http://dx.doi.org/10.3390/app10041403.

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Most mines choose the drilling and blasting method which has the characteristics of being a cheap and efficient method to fragment rock mass, but blast-induced ground vibration damages the surrounding rock mass and structure and is a drawback. To predict, analyze and control the blast-induced ground vibration, the random forest (RF) model, Harris hawks optimization (HHO) algorithm and Monte Carlo simulation approach were utilized. A database consisting of 137 datasets was collected at different locations around the Tonglvshan open-cast mine, China. Seven variables were selected and collected a

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29

Abd Elazim, S. M., and E. S. Ali. "Optimal locations and sizing of capacitors in radial distribution systems using mine blast algorithm." Electrical Engineering 100, no. 1 (2016): 1–9. http://dx.doi.org/10.1007/s00202-016-0475-1.

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30

Naidu, I. E. S., S. Srikanth, A. Siva sarapakara Rao, and Adabala Venkatanarayana. "A novel mine blast optimization algorithm (MBOA) based MPPT controlling for grid-PV systems." AIMS Electronics and Electrical Engineering 7, no. 2 (2023): 135–55. http://dx.doi.org/10.3934/electreng.2023008.

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<abstract> <p>One of the most important areas in today's world is meeting the energy needs of various resources provided by nature. The advantages of renewable energy sources for many application sectors have attracted a lot of attention. The majority of grid-based enterprises use solar photovoltaic (PV) systems to collect sunlight as a reliable energy source. Due to solar PV's simple accessibility and efficient panel design, it is widely used in a variety of application scenarios. By employing the Maximum Power Point Tracking (MPPT) technique, the PV modules can typically operate

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31

Sri Chandrahas, N., A. Surendra Babu, T. Malleshwara Rao, S. Hareesh Babu, and Kuldeep Singh. "Role of Digital Transformation in Mining Industry: Enhancing Efficiency, Safety and Sustainability." Mining Revue 31, no. 1 (2025): 1–11. https://doi.org/10.2478/minrv-2025-0001.

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Abstract •Digital transformation in mine planning and management integrates advanced technologies and data-driven strategies to optimize operations, enhance safety and improve productivity. •The process begins with digitization, deploying sensors, IoT devices and automation systems to collect real-time data on equipment performance, environmental conditions and worker safety. •Data analytics and machine learning algorithms analyse this data to identify inefficiencies, predict equipment failures and optimize resource utilization. •Remote monitoring and control systems enhance operational effici

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32

Zhao, Shugang, Liguan Wang, and Mingyu Cao. "Chaos Game Optimization-Hybridized Artificial Neural Network for Predicting Blast-Induced Ground Vibration." Applied Sciences 14, no. 9 (2024): 3759. http://dx.doi.org/10.3390/app14093759.

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In this study, we introduced the chaos game optimization-artificial neural network (CGO-ANN) model as a novel approach for predicting peak particle velocity (PPV) induced by mine blasting. The CGO-ANN model is compared with other established methods, including the particle swarm optimization-artificial neural network (PSO-ANN), the genetic algorithm-artificial neural network (GA-ANN), single ANN, and the USBM empirical model. The aim is to demonstrate the superiority of the CGO-ANN model for PPV prediction. Utilizing a dataset comprising 180 blasting events from the Tonglushan Copper Mine in C

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33

Shahzad, Mohsin, Waseem Akram, Muhammad Arif, Uzair Khan, and Barkat Ullah. "Optimal Siting and Sizing of Distributed Generators by Strawberry Plant Propagation Algorithm." Energies 14, no. 6 (2021): 1744. http://dx.doi.org/10.3390/en14061744.

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Increasing the unplanned penetration of Distributed Generators (DGs) has spurred active and reactive power losses in the distribution system. This article suggests using a novel Strawberry Plant Propagation Algorithm (SPPA) for planning the placement of the DGs with the aim of reducing the network (active) power losses and improving the overall voltage profile. The proposed method (SPPA) has been tested on 33 and 69 node radial systems in MATLAB. A cost analysis was also performed and compared with other contemporary methods. The results for the considered variables show the significance of th

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34

Hussain, Kashif, Mohd Najib Mohd Salleh, and Abdul Mutalib Leman. "Optimisation of ANFIS using mine blast algorithm for predicting strength of Malaysian small medium enterprises." International Journal of High Performance Computing and Networking 14, no. 1 (2019): 52. http://dx.doi.org/10.1504/ijhpcn.2019.099739.

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35

Mutalib Leman, Abdul, Kashif Hussain, and Mohd Najib Mohd. Salleh. "Optimisation of ANFIS using mine blast algorithm for predicting strength of Malaysian small medium enterprises." International Journal of High Performance Computing and Networking 14, no. 1 (2019): 52. http://dx.doi.org/10.1504/ijhpcn.2019.10021103.

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36

Wang, Kaikai, Chun’an Tang, Ke Ma, Xintang Wang, and Qiang Li. "An Automatic Recognition Method of Microseismic Signals Based on S Transformation and Improved Gaussian Mixture Model." Advances in Civil Engineering 2020 (August 7, 2020): 1–24. http://dx.doi.org/10.1155/2020/8825990.

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The microseismic signals in the coal minefield are very complex because of its special environment with a large number of blast vibration signals, and how to effectively identify the microseismic signals is still a big problem. S transform (ST) and Manifold Learning (ML) methods are introduced to extract the characteristics of the microseismic signals, and Gaussian Mixture Model based on the improved Bee Colony optimization algorithm (IBC-GMM) is established to identify the microseismic signals accurately. Firstly, the time-frequency characteristics of microseismic signals in coal mine are ext

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37

Slynko, Ievgenii I., Yurii V. Derkach, Arthur I. Ermolev, Oleksii S. Nekhlopochyn, and David A. Tavzadze. "Mine blast injury of the spine and spinal cord: a case report." Ukrainian Neurosurgical Journal 28, no. 2 (2022): 54–56. http://dx.doi.org/10.25305/unj.257985.

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Many soldiers who were wounded during the war in Ukraine with Russia increased the number of cases of spinal injury. As a result of the Russia-Ukraine war, the number of patients with spine and spinal cord injuries increased significantly. According to the literature, gunshot wounds to the spine and spinal cord accounted for 0.26% of all soldier injuries during the American Civil War, with a mortality rate of 55%. According to the U.S. military data, spinal and spinal cord injuries accounted for 1.2% of war-related deaths during the Korean War, 1.0% - during the Vietnam War and the Gulf War, 6

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38

Qunpo, Liu, and Yang Shuai. "Algorithm for Coal Mine Rock Foreign Object Detection Based on Enhanced YOLOv8." Engineering and Technology Journal 9, no. 04 (2024): 3791–802. https://doi.org/10.5281/zenodo.11032107.

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In addressing the challenge of suboptimal detection precision in coal mine rock foreign object detection due to complex environments and variable object scales, this paper proposes a coal mine rock foreign object detection algorithm based on YOLOv8. Initially, the incorporation of the BiFormer attention mechanism is advocated to refine the backbone network, augmenting the model's attention towards pivotal information regions, consequently enhancing localization and feature extraction capabilities. Secondly, a lightweight Content-Aware Recurrent Affine Feature Extraction (CARAFE) operator is ut

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39

Xie, Xuebin, and Chuanqi Huang. "Prediction of Blast Crushing Lumpiness Based on CPO-BP Modeling." Applied Sciences 15, no. 11 (2025): 6312. https://doi.org/10.3390/app15116312.

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Currently, the central task of predicting rock fragmentation is becoming increasingly important in the field of rock mechanics and engineering blasting. This direction has been shown to be crucial to ensure the safety and durability of construction projects. In this study, a BP neural network is constructed to optimize the network weights and bias with the help of CPO algorithm, and its practicality and reliability are tested through the case of an iron ore mine in Hunan Province, China. The model is trained and tested using typical blasting data, and the results show that it performs efficien

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Tian, Feng, Tingting Chen, and Jing Zhang. "Research on Improved Retinex-Based Image Enhancement Method for Mine Monitoring." Applied Sciences 13, no. 4 (2023): 2672. http://dx.doi.org/10.3390/app13042672.

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An improved Retinex fusion image enhancement algorithm is proposed for the traditional image denoising methods and problems of halo enlargement and image overexposure after image enhancement caused by the existing Retinex algorithm. First, a homomorphic filtering algorithm is used to enhance each RGB component of the underground coal mine surveillance image and convert the image from RGB space to HSV space. Second, bilateral filtering and multi-scale retinex with color restoration (MSRCR) fusion algorithms are used to enhance the luminance V component while keeping the hue H component unchange

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Alattar, Alhassan H., S. I. Selem, Hamid M. B. Metwally, et al. "Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm." Energies 12, no. 16 (2019): 3110. http://dx.doi.org/10.3390/en12163110.

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Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind–diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional–integral–differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and lo

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Bedri, Khaoula, Malek Ould Hamou, Mira Filali, Riheb Hadji, and Hassan Taib. "Optimizing the blast fragmentation quality of discontinuous rock mass: Case study of Jebel Bouzegza Open-Cast Mine, North Algeria." Mining of Mineral Deposits 17, no. 4 (2023): 35–44. http://dx.doi.org/10.33271/mining17.04.035.

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Purpose. The research aims to investigate the impact of discontinuity characteristics, including dip direction, dip and joint spacing, on the size distribution of blasted fragments in mines and quarries. The accuracy of blasting results is essential for efficient operations, and understanding these factors can enhance blast fragmentation outcomes. Methods. We conducted our research at the Jebel Bouzegza C01 aggregate quarry, analyzing eight blast benches. To determine fragment sizes, we employed image processing tools to calculate P50, P80, and Pmax sizes. Additionally, we used the Kuz Ram mod

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Zhang, Lei, Xiwei Li, Shangkai Hao, Qianru Yan, Jiayuan Wang, and Meng Wang. "A Study on the Identification of Cracks in Mine Subsidence Based on YOLOv8n Improvement." Processes 12, no. 12 (2024): 2716. https://doi.org/10.3390/pr12122716.

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Ground cracks resulting from coal mining subsidence can pose significant risks to coal mine safety, production, and the surrounding ecological environment. The use of drone technology coupled with deep learning holds practical value for accurately identifying ground cracks in mining areas. This study introduces an enhanced target detection algorithm based on YOLOv8n for analyzing ground cracks in aerial images captured by unmanned aerial vehicles (UAVs) dealing with small targets and widely distributed in shrubland. The C2f module of the backbone network is improved by incorporating deformable

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Behzadafshar, Katayoun, Fahimeh Mohebbi, Mehran Soltani Tehrani, Mahdi Hasanipanah, and Omid Tabrizi. "Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm." Engineering Computations 35, no. 4 (2018): 1774–87. http://dx.doi.org/10.1108/ec-08-2017-0290.

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PurposeThe purpose of this paper is to propose three imperialist competitive algorithm (ICA)-based models for predicting the blast-induced ground vibrations in Shur River dam region, Iran.Design/methodology/approachFor this aim, 76 data sets were used to establish the ICA-linear, ICA-power and ICA-quadratic models. For comparison aims, artificial neural network and empirical models were also developed. Burden to spacing ratio, distance between shot points and installed seismograph, stemming, powder factor and max charge per delay were used as the models’ input, and the peak particle velocity (

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Guo, Jiang, Peidong Zhao, and Pingfeng Li. "Prediction and Optimization of Blasting-Induced Ground Vibration in Open-Pit Mines Using Intelligent Algorithms." Applied Sciences 13, no. 12 (2023): 7166. http://dx.doi.org/10.3390/app13127166.

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Prediction and parameter optimization are effective methods for mine personnel to control blast-induced ground vibration. However, the challenge of effective prediction and optimization lies in the multi-factor and multi-effect nature of open-pit blasting. This study proposes a hybrid intelligent model to predict ground vibrations using a least-squares support vector machine (LSSVM) optimized by a particle swarm algorithm (PSO). Meanwhile, multi-objective particle swarm optimization (MOPSO) was used to optimize the blast design parameters by considering the vibration of particular areas and th

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Xu, Ai Gong, Yang Cui, and Xin Sui. "Open-Pit Mine Fine DEM Model Establishment and Updating." Advanced Materials Research 524-527 (May 2012): 508–14. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.508.

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In view of open-pit mine complex special terrain, to improved method of constructing triangulated irregular net and combined with the extended boundary, that can remission the phenomenon that steps were flattened and the problem of inefficiency mining area model update. Using constrained triangulated irregular net once generation algorithm, through extraction of spatial data, establish topological relationships and spatial indexing, eventually build a constraints of triangulated irregular net within the boundary constraint line. Combining extended boundary with the triangulated irregular net g

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Chen, Xiaomin, Xiangbin Yu, and Dazhuan Xu. "SVD-Aided Beamforming and Power Allocation Algorithm for Multiuser Turbo-BLAST System Uplink with Imperfect CSI." International Journal of Antennas and Propagation 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/357381.

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The SVD-aided joint transmitter and receiver design for the uplink of CDMA-based synchronous multiuser Turbo-BLAST systems is proposed in the presence of channel state information (CSI) imperfection. At the transmitter, the beamforming and power allocation schemes are developed to maximize the capacity of the desired user. At the receiver, a suboptimal decorrelating scheme is first proposed to mitigate the multiuser interference (MUI) and decouple the detection of different users with imperfect CSI, and then the iterative detecting algorithm that takes the channel estimation error into account

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Tian, Feng, Mengjiao Wang, and Xiaopei Liu. "Low-Light Mine Image Enhancement Algorithm Based on Improved Retinex." Applied Sciences 14, no. 5 (2024): 2213. http://dx.doi.org/10.3390/app14052213.

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Aiming at solving the problems of local halo blurring, insufficient edge detail preservation, and serious noise in traditional image enhancement algorithms, an improved Retinex algorithm for low-light mine image enhancement is proposed. Firstly, in HSV color space, the hue component remains unmodified, and the improved multi-scale guided filtering and Retinex algorithm are combined to estimate the illumination and reflection components from the brightness component. Secondly, the illumination component is equalized using the Weber–Fechner law, and the contrast limited adaptive histogram equali

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Fang, Yong, and Xiaoyan Peng. "Micro-Factors-Aware Scheduling of Multiple Autonomous Trucks in Open-Pit Mining via Enhanced Metaheuristics." Electronics 12, no. 18 (2023): 3793. http://dx.doi.org/10.3390/electronics12183793.

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Traditional open-pit mineral transportation systems are typically subject to manual command, frequently leading to vehicular delays and traffic congestion. With the advancement of automation and electrification technologies, this study proposes a highly accurate scheduling method for multiple autonomous trucks in an open-pit mine. This model considers micro-level temporal and spatial factors to tackle the task of scheduling autonomous trucks within open-pit mines. The cost function of the concerned scheduling problem is a comprehensive evaluation of energy consumption, time, and output. Beyond

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Zhang, Zeyu, Honggui Deng, Yang Liu, Qiguo Xu, and Gang Liu. "A Semi-Supervised Semantic Segmentation Method for Blast-Hole Detection." Symmetry 14, no. 4 (2022): 653. http://dx.doi.org/10.3390/sym14040653.

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The goal of blast-hole detection is to help place charge explosives into blast-holes. This process is full of challenges, because it requires the ability to extract sample features in complex environments, and to detect a wide variety of blast-holes. Detection techniques based on deep learning with RGB-D semantic segmentation have emerged in recent years of research and achieved good results. However, implementing semantic segmentation based on deep learning usually requires a large amount of labeled data, which creates a large burden on the production of the dataset. To address the dilemma th

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