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Journal articles on the topic 'Mining engineering'

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Published: 4 June 2021
Last updated: 8 October 2024

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1

Smith, Arthur E. "Mining Engineering Periodicals." Rocks & Minerals 67, no. 3 (June 1992): 183–86. http://dx.doi.org/10.1080/00357529.1992.9926479.

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2

Kratzsch, Ing H. "Mining subsidence engineering." Environmental Geology and Water Sciences 8, no. 3 (September 1986): 133–36. http://dx.doi.org/10.1007/bf02509900.

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3

Harit Priyadarshi, Nasim, B. N. Dubey, Meenali Modi. "Green Mining: Environmental Ethics in Mining Engineering." Tuijin Jishu/Journal of Propulsion Technology 44, no. 3 (October 28, 2023): 3099–104. http://dx.doi.org/10.52783/tjjpt.v44.i3.1286.

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Green mining, an evolving paradigm within mining engineering, is driven by a commitment to environmental ethics and sustainability. This article explores the principles, benefits, and challenges associated with green mining, presenting a comprehensive view of its potential transformation of the mining industry. Traditional mining practices have historically resulted in habitat destruction, air and water pollution, and other environmental challenges. However, green mining principles emphasize resource efficiency, minimal environmental disturbance, responsible waste management, and social responsibility. The adoption of these principles promises numerous advantages, including environmental conservation, reduced carbon footprint, economic efficiency, and long-term sustainability. Despite various challenges, such as economic pressures and regulatory hurdles, the transition to green mining is gaining momentum. This shift embodies an ethical imperative and a practical approach to ensuring responsible resource extraction while preserving the planet's delicate ecosystems and the well-being of local communities.
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4

Mahamud-López, Manuel María, and Juan Mariá Menéndez-Aguado. "Environmental engineering in mining engineering education." European Journal of Engineering Education 30, no. 3 (September 2005): 329–39. http://dx.doi.org/10.1080/03043790500114490.

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5

Komissarov, Anatoly P., Yuliya A. Lagunova, Rustem Sh Nabiullin, and Olga A. Lukashuk. "DIGITALIZATION IN MINING ENGINEERING." Mining Equipment and Electromechanics, no. 5 (December 23, 2020): 34–38. http://dx.doi.org/10.26730/1816-4528-2020-5-34-38.

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6

Chen, Zhongqiang, Lang Liu, Xueyuan Qi, and Junjun Geng. "Digital Mining Technology-Based Teaching Mode for Mining Engineering." International Journal of Emerging Technologies in Learning (iJET) 11, no. 10 (October 27, 2016): 47. http://dx.doi.org/10.3991/ijet.v11i10.6271.

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In this paper, the main problem in present mining engineering teaching was analyzed. Based on the analysis, the study of bringing digital mining technology into mining engineering teaching was presented. Furthermore, a new mining engineering teaching mode that includes mining knowledge demonstration, mining expertise building, mining environment modeling, and creative mining thought was also presented. In the teaching mode, 3D digital mining technology was used to model the mining environment. The modeled environment facilitated a systematic mining teaching system that helped students understand both mining concepts and mining operations. Thus, the instructor, student, and mining workers were essential to the teaching mode. The use of digital mining technology and relevant multimedia made mining teaching vivid and easy to be understood. Digitized primary data in mining engineering were readily and visually understood by students. Simulated 3D mining scenario generated with the data helped students understand theory and practice. Meanwhile, application of distant information technology helped mining workers in the abovementioned mining engineering teaching mode to be involved, thereby providing first-hand experience for classroom mining teaching. Hence, the digital mining based mining engineering teaching mode shows considerable promise in raising teaching effectiveness and efficiency.
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7

Li, Fabiana. "Engineering responsibility." Focaal 2011, no. 60 (June 1, 2011): 61–73. http://dx.doi.org/10.3167/fcl.2011.600106.

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Focusing on a controversial gold mining project in Chile, this article examines how engineers and other mining professionals perceive and help shape Corporate Social Responsibility initiatives. Compensation agreements, environmental management, and community relations programs rest on what I call a logic of equivalence that makes the environmental consequences of mining activity commensurate with the mining companies’ mitigation plans. For example, legal codes enable engineers to measure, compare, and reconcile the costs and benefits of a project. However, the law is neither fixed nor uncontestable, and companies must respond to increased public scrutiny and the growing demands of communities, governments, and international actors. In Chile, campaigns against mining focused on the presence of glaciers at the mine site and the project’s possible effects on water availability. By introducing new moral dimensions to debates over corporate responsibility, these campaigns challenged established strategies of commensuration and existing ethical guideposts.
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8

Barai, Sudhir Kumar. "DATA MINING APPLICATIONS IN TRANSPORTATION ENGINEERING." TRANSPORT 18, no. 5 (October 31, 2003): 216–23. http://dx.doi.org/10.3846/16483840.2003.10414100.

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Data mining is the extraction of implicit, previously unknown and potentially useful information from data. In recent time, data mining studies have been carried out in many engineering disciplines. In this paper the background of data mining and tools is introduced. Further applications of data mining to transportation engineering problems are reviewed. The application of data mining for typical example of ‘Vehicle Crash Study’ is demonstrated using commercially available data mining tool. The paper highlights the potential of data mining tool application in transportation engineering sector.
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9

Shen, Hai Ying, Shu Ming Wen, and Ti Zhuan Wang. "Mining Engineering Professionals Motivated to Improve their Proficiency in English." Applied Mechanics and Materials 525 (February 2014): 765–69. http://dx.doi.org/10.4028/www.scientific.net/amm.525.765.

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The industrialization is progressing on the unparalleled scale, bringing an ever greater impetus to the growth of mining industry. China has had its unique pattern of developing its mining engineerin: firstly importing technologies, then studying and absorbing them, and finally achieving some innovation. Until now, China has been honored with some of mining theories taking the lead in the international mining world. As the disseminators of human civilization including advanced mining technologies, the Chinese professionals concerned are duty-bound to introduce abroad Chinas new progresses in mining engineering; that they are skillfully equipped with the four kinds of English abilities in reading, writing, listening and speaking, which is prerequisite for them to work well in foreign cooperation, has become an urgent matter to for them as well as for the authorities concerned.
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10

Yue, Xiao Guang, Guang Zhang, Qing Guo Ren, Wen Cheng Liao, Jing Xi Chen, Zi Qiang Zhao, and Xiao Lan Xie. "Research on Sustainable Mining Engineering." Applied Mechanics and Materials 340 (July 2013): 126–30. http://dx.doi.org/10.4028/www.scientific.net/amm.340.126.

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The concepts of Chinese information processing and natural language processing (NLP) and their development tendency are summarized. There are different comprehension of Chinese information processing and natural language processing in China and the other countries. But the work appears to emerge in the study of key point of languages processing. Mining engineering is very important for our country. Though the final task of languages processing is difficult, Chinese information processing has contributed substantially to our scientific research and social economy and it will play an important part for mining engineering in our future.
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11

van As, Andre. "Geotechnical Engineering for Mass Mining." SEG Discovery, no. 120 (January 1, 2020): 22–31. http://dx.doi.org/10.5382/geo-and-mining-06.

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Editor’s note: The Geology and Mining series, edited by Dan Wood and Jeffrey Hedenquist, is designed to introduce early-career professionals and students to a variety of topics in mineral exploration, development, and mining, in order to provide insight into the many ways in which geoscientists contribute to the mineral industry. Abstract The rock mass response to mining is governed by the rock mass characteristics and the mining-induced changes that drive its behavior. To be able to study and accurately predict the response of the rock mass to mining, it is imperative that both the orebody and the enclosing country rocks are well characterized through the collection and analysis of large quantities of good-quality, representative geologic, structural, geotechnical, and hydrogeological data. These are the fundamental constituents of a good geotechnical model whose reliability improves as the mining project matures and moves from exploration and study phases, passes the decision to develop, and proceeds into construction and then operations. Each phase provides greater exposure to the rock mass, reduces uncertainty, and increases reliability in the geotechnical model and in an understanding of the rock mass behavior. The quest of the geotechnical engineer is to understand the rock mass behavior and is no different from that of the geologist who defines the mineral resource, and it warrants (at the very least) the same level of rigor in data collection, analysis, and reporting. Just as the geologist continues to improve the orebody model through grade reconciliation during mining, so the geotechnical engineer must continually revisit and calibrate the geotechnical model during the operational phase of mining through geotechnical monitoring. The increasing demand by investors and stakeholders that the performance of a mine does not deviate from plan due to unforeseen geotechnical surprises warrants a significant shift in the level of geotechnical data collection, analyses, and rock mass monitoring through all stages of study and operations. This demand warrants supporting budgets and assurance processes that are commensurate with the complexity and extent of the geotechnical uncertainties.
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12

Halkidi, M., D. Spinellis, G. Tsatsaronis, and M. Vazirgiannis. "Data mining in software engineering." Intelligent Data Analysis 15, no. 3 (May 4, 2011): 413–41. http://dx.doi.org/10.3233/ida-2010-0475.

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13

VOGT, WERNER. "HIGHER EDUCATION IN MINING ENGINEERING." Mineral Resources Engineering 04, no. 04 (December 1995): 365–73. http://dx.doi.org/10.1142/s0950609895000333.

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14

Ali, Mahrous A. M. "Software application in mining engineering." Mining of Mineral Deposits 12, no. 1 (March 30, 2018): 48–53. http://dx.doi.org/10.15407/mining12.01.048.

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15

Hayes, Jane Huffman, Alex Dekhtyar, and Senthil Sundaram. "Text mining for software engineering." ACM SIGSOFT Software Engineering Notes 30, no. 4 (July 2005): 1–5. http://dx.doi.org/10.1145/1082983.1083153.

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16

Xie, Tao, Suresh Thummalapenta, David Lo, and Chao Liu. "Data Mining for Software Engineering." Computer 42, no. 7 (August 2009): 55–62. http://dx.doi.org/10.1109/mc.2009.256.

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17

Konys, Agnieszka, and Agnieszka Nowak-Brzezińska. "Knowledge Engineering and Data Mining." Electronics 12, no. 4 (February 13, 2023): 927. http://dx.doi.org/10.3390/electronics12040927.

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18

Wang, Fangtian, Hongfei Qu, Wei Tian, Shilei Zhai, and Liqiang Ma. "Ethical Construction and Development of Mining Engineering Based on the Safe, Efficient, Green, and Low-Carbon Concept." Sustainability 14, no. 21 (October 25, 2022): 13811. http://dx.doi.org/10.3390/su142113811.

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Modern mining engineering has become a huge system project with the increased intensification and complexity of mining engineering, which interwinds, involving many factors. Ethical issues in the main body of mining engineering have become more and more prominent. What must complement ongoing discussions is a more professional and systematic analysis that engages with mining engineering on the socio-technical systems. In this paper, first, the connotation and basic principles of mining engineering ethics are put forward. Then, the ethical responsibilities that mining engineers may face are analyzed. It is suggested that the code of mining engineering ethics can, in practice, provide engineers with the necessary guidelines to avoid mine accidents caused by wrong decisions. In addition, a case base is introduced to train students to analyze engineering ethics in practical cases, and four typical case studies are discussed in detail. Then, the implementation paths of mining engineering ethics are studied, which are centered on the concept of safe, efficient, green, and low-carbon development. Finally, we suggest that improving the ethical norms of mining engineering, personnel training system, and moral supervision of mining projects will enable engineers to deal with the ethical issues of mining engineering more effectively, thereby improving the sustainability of mining engineering.
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19

Graening, Lars, and Bernhard Sendhoff. "Shape mining: A holistic data mining approach for engineering design." Advanced Engineering Informatics 28, no. 2 (April 2014): 166–85. http://dx.doi.org/10.1016/j.aei.2014.03.002.

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20

Varma, Sandeep, and LijiP I. "Secure Outsourced Association Rule Mining using Homomorphic Encryption." International Journal of Engineering Research and Science 3, no. 9 (September 30, 2017): 70–76. http://dx.doi.org/10.25125/engineering-journal-ijoer-sep-2017-22.

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21

Marbán, Oscar, Javier Segovia, Ernestina Menasalvas, and Covadonga Fernández-Baizán. "Toward data mining engineering: A software engineering approach." Information Systems 34, no. 1 (March 2009): 87–107. http://dx.doi.org/10.1016/j.is.2008.04.003.

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22

Bardel, Tomasz. "Engineering-geological documentation and mining areas." Problems of Economics and Law 4, no. 1 (July 7, 2020): 1–12. http://dx.doi.org/10.5604/01.3001.0014.3286.

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<b>Aim of the study: Review of the legal basis in the field of mining areas versus engineering geology. <br><b>Materials and methods:</b> The analyzes the Geological and Mining Law and their interpretations and also judgments of the Supreme Administrative Court of Poland. <br><b>Results:</b> Incorrect interpretation of the legal definition of the mining area concerned the resource extracted by underground mines or by boreholes results in the need to develop a mining plant operation plan for shallow geological drillings. <br><b>Conclusions:</b> Mining plant operation plan is not need for geological works as part of geological documentation for the foundation of buildings on area under which the resources are extracted in underground mines or in mining areas for oil or natural gas in deep rock formations.
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23

Schlezak, Sofia L., and Jaime E. Styer. "Inclusive Urban Mining: An Opportunity for Engineering Education." Mining 3, no. 2 (May 18, 2023): 284–303. http://dx.doi.org/10.3390/mining3020018.

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With the understanding that the mining industry is an important and necessary part of the production chain, we argue that the future of mining must be sustainable and responsible when responding to the increasing material demands of the current and next generations. In this paper, we illustrate how concepts, such as inclusiveness and the circular economy, can come together in new forms of mining—what we call inclusive urban mining—that could be beneficial for not only the mining industry, but for the environmental and social justice efforts as well. Based on case studies in the construction and demolition waste and WEEE (or e-waste) sectors in Colombia and Argentina, we demonstrate that inclusive urban mining could present an opportunity to benefit society across multiple echelons, including empowering vulnerable communities and decreasing environmental degradation associated with extractive mining and improper waste management. Then, recognizing that most engineering curricula in this field do not include urban mining, especially from a community-based perspective, we show examples of the integration of this form of mining in engineering education in first-, third- and fourth-year design courses. We conclude by providing recommendations on how to make inclusive urban mining visible and relevant to engineering education.
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24

Kang, Zhi Qiang, Ying Wang, and Feng Nan. "Cultivate High Quality Creative Mining Engineering Talents Based on the Construction of Professional Characteristics." Applied Mechanics and Materials 155-156 (February 2012): 717–21. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.717.

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First of all, mining engineering construction must rationally determine the characteristics of professional development goals of mining engineering. Innovative talents training is the key of existence and development of safety engineering discipline, which is of great significance for mining engineering discipline. In order to train high-quality creative mining engineering talents with the mining characteristics and "based on fact, knowledge breadth, practical ability, and comprehensive high quality". The paper based on the construction of mining engineering professional characteristics development points from perfecting training plan strengthening the teaching staff, teaching contents and curriculum reform, improvement of education quality, relying on further improving the methods and measures of cultivating the high-quality creative talents. So that the students overall quality and level of creative has been greatly improved.
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25

Lukas, Vilmar A. "New system of higher engineering education in Germany." Izvestiya vysshikh uchebnykh zavedenii Gornyi zhurnal 6 (September 15, 2021): 98–107. http://dx.doi.org/10.21440/0536-1028-2021-6-98-107.

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Introduction. The paper registers some significant changes that higher mining education has undergone over the past decades, including the ones that occurred in Germany. Mineral production on the Eurasian continent has been decreasing gradually and resulted in the declining demand for mining specialists. It is in German that the tendency was the most pronounced. Reduced number of students and the subsequent reduction in the number of mining and geological departments concerned all leading centers of mining education. Relevance. Higher educational institutions in Germany are looking for a way out of the crisis reorienting their teaching and scientific activity to the allied sciences, in particular oil and gas production, underground engineering structures construction, production and processing of unconventional natural resources, subsea production, environment-related activities, and spoil disposal. Colleges also train specialists for other countries and international mining corporations. Methods of research. The paper provides examples and analysis of new curricula in the universities of Freiberg, Aachen, Clausthal, etc. These mining schools have accumulated considerable experience in reforming and developing mining education. Current state. The mining field of vocational training in German colleges has acquired an integrated name which can be translated as the “technology of mineral raw materials”. Traditional mining specialisms are being combined and consolidated. New methodological approaches are being extensively introduced. These steps are to improve the appeal of the mining education for the youth and arouse employers interest in the specialists of a new specialism.
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Lukas, Vilmar A. "New system of higher engineering education in Germany." Izvestiya vysshikh uchebnykh zavedenii Gornyi zhurnal 6 (September 15, 2021): 98–107. http://dx.doi.org/10.21440/0536-1028-2021-6-98-107.

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Introduction. The paper registers some significant changes that higher mining education has undergone over the past decades, including the ones that occurred in Germany. Mineral production on the Eurasian continent has been decreasing gradually and resulted in the declining demand for mining specialists. It is in German that the tendency was the most pronounced. Reduced number of students and the subsequent reduction in the number of mining and geological departments concerned all leading centers of mining education. Relevance. Higher educational institutions in Germany are looking for a way out of the crisis reorienting their teaching and scientific activity to the allied sciences, in particular oil and gas production, underground engineering structures construction, production and processing of unconventional natural resources, subsea production, environment-related activities, and spoil disposal. Colleges also train specialists for other countries and international mining corporations. Methods of research. The paper provides examples and analysis of new curricula in the universities of Freiberg, Aachen, Clausthal, etc. These mining schools have accumulated considerable experience in reforming and developing mining education. Current state. The mining field of vocational training in German colleges has acquired an integrated name which can be translated as the “technology of mineral raw materials”. Traditional mining specialisms are being combined and consolidated. New methodological approaches are being extensively introduced. These steps are to improve the appeal of the mining education for the youth and arouse employers interest in the specialists of a new specialism.
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27

Cui, Pengfei, Qiang Zhang, Kang Yang, Haonan Lv, Jinming Cao, and Wei Wang. "Classification and Design of Backfill Coal Mining Systems Based on Typical Engineering Cases." Energies 16, no. 24 (December 15, 2023): 8074. http://dx.doi.org/10.3390/en16248074.

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Backfill coal mining technology has drawn widespread attention due to its benefits of “controlling surface deformation and subsidence, reducing mining-induced disturbance in the stope, and recycling solid mine wastes”. However, the backfill coal mining technology is still progressing slowly in China. The geological environment of China’s mining areas is complex and highly diversified, and backfill coal mining is expected to fulfill different goals in a wide range of engineering scenarios. These facts explain the poor reproducibility of backfill coal mining projects. This study reviews the existing backfill coal mining systems in China. Based on findings from a survey of engineering cases, we summarize five types of new backfill coal mining methods classified by deployment style; namely, borehole grouting backfill, roadway backfill, borehole–roadway backfill, in situ backfill, and roadway-in-situ backfill. A total of 15 backfill coal mining methods falling into the above five categories are described. An engineering design workflow for backfill coal mining consisting of five steps is proposed; namely, identifying the targets of backfill, analyzing the feasibility of deploying the backfill system, comparing the engineering quantities of different engineering schemes, estimating the economic efficiency of backfill, and backfill performance tracking and monitoring. Real cases of backfill engineering design are analyzed to inform the fast and reasonable design of backfill strategy for specific working faces in certain coal mines.
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28

Alber, M. "Rock engineering challenges in post-mining." IOP Conference Series: Earth and Environmental Science 833, no. 1 (August 1, 2021): 012002. http://dx.doi.org/10.1088/1755-1315/833/1/012002.

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29

Hall, Robert J. "Editorial: data mining in software engineering." Automated Software Engineering 17, no. 4 (July 13, 2010): 373–74. http://dx.doi.org/10.1007/s10515-010-0073-9.

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30

Wagner, Horst. "Deep Mining: A Rock Engineering Challenge." Rock Mechanics and Rock Engineering 52, no. 5 (April 13, 2019): 1417–46. http://dx.doi.org/10.1007/s00603-019-01799-4.

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31

Hokstad, Per. "Engineering queues in construction and mining." European Journal of Operational Research 31, no. 3 (September 1987): 390–91. http://dx.doi.org/10.1016/0377-2217(87)90053-1.

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32

Mouat, Jeremy, and Ian Phimister. "The Engineering of Herbert Hoover." Pacific Historical Review 77, no. 4 (November 1, 2008): 553–84. http://dx.doi.org/10.1525/phr.2008.77.4.553.

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This article offers a revisionist account of Herbert Hoover's career as a mining engineer, looking particularly at his activities in Australia and China where he first established his reputation and his fortune. The young Hoover went to Western Australia in 1897 to work for the British firm of Bewick, Moreing. Hoover's employers sent him to China in early 1899. He became a partner two years later and returned to Australia to direct Bewick, Moreing's operations there. After his return to London, he grew increasingly involved in financial dealings and gradually withdrew from the business of mining. Hoover's career as a mining engineer coincided with a period when the authority of engineers assumed a new significance; American mining engineers in particular became trusted experts. Hoover was one such engineer, although this article argues that his role was more ambiguous and compromised than earlier studies have acknowledged.
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33

Feng, Cao. "The Application of Web Data Mining System Model in Mechanical Engineering." Advanced Materials Research 681 (April 2013): 79–85. http://dx.doi.org/10.4028/www.scientific.net/amr.681.79.

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Web Data Mining is a new research field combining Data Mining with Internet, this paper introduces the significance, signification, and classification of Web Data Mining, then discusses the representative process of Web Data Mining based on XML detailedly, designs a material Web Data Mining system model and presents the structure frame and working mechanism of the system model for offering a competitive processing environment, it is advantageous to improving the whole performance of Web Data Mining.
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Wei, Zhongju, Fangfang Yu, and Junwei Yang. "Study on the model of university-enterprise cooperation in cultivating applied mining engineering graduates." SHS Web of Conferences 166 (2023): 01056. http://dx.doi.org/10.1051/shsconf/202316601056.

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Due to society's biased perception of coal enterprises, Mining Engineering students’ cultivation faces problems such as students' unwillingness to engage in mining work and the decoupling of graduates' abilities from job demands. The teaching and research team conducted in-depth research and exploration on the cultivation model of applied mining engineering professionals, and constructed a university-enterprise cooperation model for talent cultivation guided by the spirit of "hard work, innovation, unity and selflessness." This model effectively solves the bottleneck of mining engineering talent cultivation in local colleges and universities and meets the new requirements of the current era's development. After years of exploration and practice, mining engineering students not only love enterprises but also significantly improve their comprehensive innovation abilities. Coal is an important guarantee of energy security, and energy enterprises urgently need a large number of applied technical and management talents who love their jobs and can adapt to the needs of modern industry development. However, the talent cultivation of mining engineering majors has faced problems such as the decoupling of graduates' abilities from job demands due to society's biased perception of coal enterprises [1]. The teaching and research team adheres to the educational philosophy of "demand-oriented, student-centered, and quality-based" and conducts in-depth research and exploration on the talent cultivation model of applied mining engineering professionals. With the establishment and practice of the practical teaching system for cultivating applied mining engineering talents and the construction of an intelligent mining engineering course system for regional coal industry transformation needs, the team has constructed a university-enterprise cooperation model for talent cultivation guided by the spirit of "hard work, innovation, unity, and selflessness."
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35

Hong, Xiaobin. "Application of Data Mining Technology in Software Engineering." Journal of Physics: Conference Series 2066, no. 1 (November 1, 2021): 012013. http://dx.doi.org/10.1088/1742-6596/2066/1/012013.

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Abstract With the rapid development of informatization, computer database software systems have entered various fields of society, which has brought about the explosive growth of industry data. Faced with massive amounts of data, computers with limited storage capacity have to abandon some outdated data, and the application of various data mining technologies related to it has gradually matured. The purpose of this article is to discuss the application research of data mining technology in software engineering. This article analyzes the correlation analysis of a large number of bug repair source code update data and bug defect reports in the version control system SVN and the defect tracking system Bugzilla in the software engineering project development process, and tries to classify the bug report by data mining technology: defect changes and potential defects change. Starting from large-scale software engineering projects, apply data mining technology to the huge software engineeri ng knowledge base. Especially the software development and maintenance are explained, as well as the more challenging problems in the future. This paper uses data mining technology to study the dependency of the source code files of each module of the software system, and helps software developers quickly understand the software architecture by understanding the interrelationships between the modules, and provides suggestions for modification paths. Experimental research shows that this paper compares with F-measure and concludes that FL-M-GSpan algorithm is better than TS-M-GSpan algorithm. At the same time, it is found that the FL-M-GSpan algorithm always has a better accuracy rate close to 95%, while the TS-M-GSpan algorithm always has a better recall rate.
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36

Zenkov, I. V., Trinh Le Hung, V. N. Vovkin, E. V. Kirushina, A. A. Latyntsev, P. M. Kondrashov, P. L. Pavlova, et al. "Technology Development for Mining-engineering Recultivation During Opencast Mining at Polymetallic Ore Deposits." Ecology and Industry of Russia 26, no. 1 (January 18, 2022): 54–59. http://dx.doi.org/10.18412/1816-0395-2022-1-54-59.

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Study results of quarries and rock-disposal dumps sizes at deposits of non-ferrous metal ores and abandoned deposits have been presented. Operating procedures and mining and conveyor equipment configurations for the mining-engineering recultivation of rock-disposal dumps has been determined. During ecological and mathematical modeling of the applied and author's technology of mining-engineering recultivation, the author's technical rehabilitation approach has been substantiated to significantly reduce the toxic substances emission. It has been proposed to include green sources of electric power supply in mining enterprises energy systems.
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37

Guo, Wen Bin, Zhang Rong Liu, Jin Fa Wei, Jing Bo Tong, and Shu Juan Tian. "Research on Integration of Mining and Reclamation of Opencast Mining Area in Hulun Buir Grassland." Advanced Materials Research 962-965 (June 2014): 946–51. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.946.

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Environment arround the vast Hulun Buir Grassland is susceptible to mining production, especially coal mining often leads to ecological structure and function damage of mining area or causes the ecological system to change in the direction that is not conducive to the survival of mankind. However, the grassland vegetation restoration engineering, whoes practice needs urgent theoretical guidance, is necessary to be systematically included in mining engineering. In order to prepare for further research on grassland restoration of mining area, this paper systematically analysised the damage on grassland due to mining, as well as the dependence on grassland of sustainable development of Hulun Buir regional economic, and explained that grassland ecological restoration is the economic ecological engineering that closely connects to regional social development.
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Qu, Nianhua, Yubiao Yan, Tong Cheng, Yajun Wang, Xin Song, and Limin Wang. "Mining Engineering Image Recognition Method Based on Simulated Annealing Algorithm." Mobile Information Systems 2022 (May 11, 2022): 1–13. http://dx.doi.org/10.1155/2022/1832836.

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Because the current methods used in mining engineering image feature recognition have some problems, such as poor classification accuracy, operation efficiency, and inability to recognize rotation features, in order to promote the development of mineral processing in China and improve resource recovery, simulated annealing algorithm is applied to the process of mining engineering image feature extraction in this paper. Based on the simulated annealing algorithm, this paper introduces the image recognition technology based on the simulated annealing algorithm and uses this image recognition technology to study the separation of ore and rock according to the differences between ore and waste rock in morphology and R, G, and B primary color components. At the same time, based on the local binary mode theory, the local variance of pixels is calculated successively to obtain the variance diagram of mining engineering image. At the same time, the simulated annealing algorithm is used to calculate the vector in each direction in the variance diagram of mining engineering image, and then, the vector is combined as the image eigenvalue. The obtained eigenvalue is combined with the binary pattern feature to realize mining recognition method and feature recognition. Finally, the experimental research shows that the algorithm proposed in this paper can quickly extract the spatial data information of mining engineering image variance and reuse the information of image local binary pattern. Compared with the traditional mining engineering image feature extraction algorithm, the recognition accuracy of this algorithm can reach 85%.
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Valiev, Niiaz, Vladimir Propp, and Aleksandr Vandyshev. "The 100th Anniversary of the Department of Mining Engineering of UrSMU." Izvestiya vysshikh uchebnykh zavedenii Gornyi zhurnal 1, no. 8 (December 21, 2020): 130–43. http://dx.doi.org/10.21440/0536-1028-2020-8-130-143.

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The article is dedicated to the history of the Department of Mining Engineering establishment and development. The Department of Mining Arts used to be its original name. The department has been reformed several times over its centennial history. In 1931 the country was in urgent need in engineers with narrow specializations and the department was divided into 6 departments: sheet deposits development, ore mining, mine construction, mine aeration and work safety, mine transport, and industrial management. Each of the departments still exists making its contribution to high-skilled mining engineers training. The departments of sheet deposits development and ore mining were an exception, as soon as they amalgamated 78 years later to establish the Department of Mining Engineering in 2009. Over the entire period of its existence, the departments of mining art-mining engineering have trained more than 10 thousand mining engineers, including 52 thousand specialists for foreign countries. The graduates have been working successfully in all regions of the Soviet Union and still work for mining enterprises in Russia and abroad. There are 2 academicians, 18 Doctors of Science, more than 60 PhDs, 3 Lenin and State Prize laureates, 6 Heroes of Socialist Labour, 2 Deputy Ministers of the Government of the Russian Federation, local Government Chairmen, and Governors of the regions of the Russian Federation among the graduates of the department.
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Yu, Haoxuan, Shuai Li, and Xinmin Wang. "The Recent Progress China Has Made in the Backfill Mining Method, Part III: Practical Engineering Problems in Stope and Goaf Backfill." Minerals 12, no. 1 (January 13, 2022): 88. http://dx.doi.org/10.3390/min12010088.

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With the continuous innovation and development of science and technology, the mining industry has also benefited greatly and improved over time, especially in the field of backfill mining. Mining researchers are increasingly working on cutting-edge technologies, such as applying artificial intelligence to mining production. However, in addition, some problems in the actual engineering are worth people’s attention, and especially in China, such a big mining country, the actual engineering faces many problems. In recent years, Chinese mining researchers have conducted a lot of studies on practical engineering problems in the stope and goaf of backfill mining method in China, among which the three most important points are (1) Calculation problems of backfill slurry transportation; (2) Reliability analysis of backfill pipeline system; (3) Stope backfill process and technology. Therefore, this final part (Part III) will launch the research progress of China’s practical engineering problems from the above two points. Finally, we claim that Part III serves just as a guide to starting a conversation, and hope that many more experts and scholars will be interested and engage in the research of this field.
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Siwidiani, Indri Lesta. "The Basic Understanding Of First Semester Students Of Mining Engineering About Commonly Used Mining Terminologies." Jurnal Teknologi Pertambangan 7, no. 2 (January 25, 2022): 52. http://dx.doi.org/10.31315/jtp.v7i2.9121.

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Before being part of a certain department of a certain qualified college, one should prepare himself to look forward anything related to his dreamt department, at least knowing and understanding the commonly used terms related to that. when you have a dream being part of mining engineering department, you should know and understand about commonly used mining engineering. So, in this occasion, the author wants to know the first semester students of mining engineering understand about commonly used mining terms. The result of this little research indicates that the first semester students of mining engineering have good basic understanding and mastering about commonly used mining terms. It can be shown by the total number of the group which has answer type of A is about 73 members of the total population of 175, it’s about 41.7%. The group which has answer type of A is categorized having excellent answers, because the manner, attitude, tone, and language style that they show is very nice, chill out, but straight to the points. Their answers indicate that they understand and master the commonly used mining terms tested.
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Mr. Surendra Vegare and Anju Santosh Yedatkar. "Applications of Data Mining in Software Engineering: Techniques, Trends, and Case Studies." International Journal of Scientific Research in Modern Science and Technology 3, no. 5 (May 18, 2024): 07–12. http://dx.doi.org/10.59828/ijsrmst.v3i5.209.

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Data mining, the process of discovering patterns and knowledge from large quantities of data, has come a vital tool in software engineering, transubstantiating colorful aspects of the field through its advanced logical capabilities. This paper explores the different operations of data mining ways in software engineering, pressing their impact on perfecting software quality, effectiveness, and operation. We give a comprehensive overview of crucial data mining styles, including bracket, clustering, association rule mining, anomaly discovery, and textbook mining, and their specific operations within software disfigurement vaticination, quality assurance, conservation, design operation, and security. Through an analysis of contemporary case studies and empirical data, this paper illustrates how data mining ways have been effectively employed to prognosticate disfigurement-prone areas in software, optimize testing processes, and enhance design estimation and monitoring. Also, we address the challenges and limitations encountered in enforcing data mining results and bandy arising trends similar as the integration of data mining with machine literacy and artificial intelligence.
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Nardo, Mario Di, and Haoxuan Yu. "Intelligent Ventilation Systems in Mining Engineering: Is ZigBee WSN Technology the Best Choice?" Applied System Innovation 4, no. 3 (July 8, 2021): 42. http://dx.doi.org/10.3390/asi4030042.

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With the continuous development and progress of the mining industry, various technologies in mining engineering have gradually developed towards the intelligent stage, and the ventilation system is no exception. Since ancient times, mine ventilation has been a necessary part of mining engineering, and so the optimization of mine ventilation undoubtedly plays a great role in mining production. This two-part opinion paper briefly introduces the development of the intelligent ventilation in mining engineering and serves as a guide to the Tossing out a brick to get a jade gem, with implications for both the development and the future of the underground mine ventilation systems. Finally, in the second part of the paper, we explain why we think ZigBee WSN technology is the best choice in intelligent ventilation systems in underground mines at the present stage.
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Xie, Fei Hong, Zhi Yong Kou, and Yong Mou Zhang. "Prediction and Discuss of Strap Mining Subsidence by Numerical Simulation Analysis and its Engineering Apply." Advanced Materials Research 308-310 (August 2011): 1683–87. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.1683.

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In this paper, In order to reasonably determine the mining width and reserves length of strip mining, reliable simulation subsidence due to strip mining under earth，according to the cavity environment of the engineering measure, the protected object's space position and the mining rock strata's circumstance, and the relevant mining subsidence mechanic, calculation model are chosen in order to predicting the designing mining area transform and data sorting after mining. Its function and perform is put into practice for all various aspects of subsidence calculation in visual analysis system of own developed software package. It is applicable to all mining geological conditions and mining methods. Based on the condition of strip and pillar practice of Matigou colliery of Huating Mining Group, It is also applicable to this calculation system to guide successfully mining under river and architectural complex, the accurate estimate forecast had been attained.
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Hu, Boyi, Qinli Zhang, Shuai Li, Haoxuan Yu, Xinmin Wang, and Hao Wang. "Application of Numerical Simulation Methods in Solving Complex Mining Engineering Problems in Dingxi Mine, China." Minerals 12, no. 2 (January 21, 2022): 123. http://dx.doi.org/10.3390/min12020123.

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In the mining industry, with numerical simulation analysis of stope roof stability, stope exposed area computation, and pillar buckling collapse simulation, backfill body creep damage mechanism research is becoming the most popular method in the field of backfill mining techniques. In this paper, we first summarized and analyzed the current application status and the existing problems of numerical simulation for solving mining engineering technical problems; then, based on the practical engineering problems of mining phosphate rock resources under high and steep rock slopes (HSRS), we carried out a true-3D numerical simulation study for different underground mining methods, to determine the appropriate mining method. Therefore, this paper, taking Dingxi Mine in China as an example, highlights the advantages of the backfill mining method with a high and steep slope; meanwhile, it also points out how to improve the accuracy of a numerical simulation and make it more consistent with the actual situation of the mining engineering application site. This paper only serves as a guide, in order to start a conversation, and we hope many more experts and scholars will become interested and engaged in this field of research.
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KITAGAWA, YOSHIAKI. "Application of mining engineering to tunnel excavation." Shigen-to-Sozai 111, no. 6 (1995): 353–56. http://dx.doi.org/10.2473/shigentosozai.111.353.

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Larsen, D., R. Addison, R. Kehmeier, T. Swendseid, T. Brown, and J. Uhrie. "Minimum engineering requirements for assessing mining projects." Minerals & Metallurgical Processing 33, no. 4 (November 1, 2016): 214–25. http://dx.doi.org/10.19150/mmp.6842.

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48

Ozbayoglu, Gulhan. "Trends and problems in mining engineering education." Journal of Higher Education and Science 1, no. 3 (2011): 156. http://dx.doi.org/10.5961/jhes.2011.023.

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BHATTACHARYA, JAYANTA, and DEBASIS DEB. "SWOTS ANALYSIS OF GLOBAL MINING ENGINEERING EDUCATION." Mineral Resources Engineering 11, no. 04 (December 2002): 419–28. http://dx.doi.org/10.1142/s0950609802001026.

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50

Wilkinson, Barrie, and Jason Micklefield. "Mining and engineering natural-product biosynthetic pathways." Nature Chemical Biology 3, no. 7 (June 18, 2007): 379–86. http://dx.doi.org/10.1038/nchembio.2007.7.

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