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Journal articles on the topic 'Mining power'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Antonenkov, D. V., E. A. Biketova, V. R. Kiushkina, and D. B. Solovev. "Climate Impacts on Quality of 6 kV Overhead Lines Operating at Mining Companies." IOP Conference Series: Earth and Environmental Science 988, no. 2 (2022): 022001. http://dx.doi.org/10.1088/1755-1315/988/2/022001.

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Abstract Technological innovation in the mining industry involves the extensive use of new high-power, energy-intensive, and high-performance mining machinery that should be reliable in its operation. The key mining company equipment includes mining excavators, drilling rigs, crushing and screening units, and mine drainage facilities. Providing the fault-free power supply and the efficient operation of the electrical infrastructure of a mining company is a priority, and it depends on the quality of the power supply system and its elements. Power supply system failures reduce the operational efficiency of mining machinery, processing sections, and the mining company as a whole, which results in reduced power consumption, uneven loading schedule, failures to meet the output plans, and increased prime costs for the products. The analysis of the electrical infrastructure power supply system at a mining company shall help us assess the quality of operations and their efficiency and develop actions to reduce the idle times of electrical equipment, provide uninterrupted power supply and plan the activities of the mining company in the wholesale electrical power market more accurately.

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Samokhin, V. I., D. V. Samokhin, E. E. Babkin, and I. M. Petrov. "Relevance of power saving at mining farms." Power and Autonomous equipment 2, no. 2 (2019): 102–10. http://dx.doi.org/10.32464/2618-8716-2019-2-2-102-110.

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Introduction: mining has recently aroused substantial interest inRussia due to the rise in crypto-currency rates. Therefore, new coins are harder to obtain, and mining equipment turns more expensive. Computation capacities are provided by mining farms, and the number of their computation modules reaches 20 units, if operated by natural persons, and 300 – 5,000 units, if operated by major computation centres. One of the factors restraining the development of industrialscale mining, consists in high power consumption rates demonstrated by major computation centres. Therefore, the problem of high-quality power supply to mining farms gains relevance both in terms of the efficient use of electric power sources and in terms of the protection of expensive machines.Methods: the co-authors have analyzed power saving problems that accompany the incorporation of industrial mining farms, substantiated the need to design and develop the unique equipment, connectable to mining farms because the circulation of the reactive component of electric power between the source of alternate current and the accumulator causes losses of energy in the wires of the electric circuit. The overloading of the circuit by the reactive current causes the need to improve the capacity of the energy source, reduces the circuit voltage and makes it fluctuate. The co-authors have performed an overview of air and liquid-based cooling systems applied to mining farms. They also describe the principle of the cooling system involving submersion, which has a strong potential as a constituent component of major mining farms.Findings and discussion: the co-authors have formulated their idea aimed at the improvement of the performance of mining farms. They present a power saving system centered around the reactive capacity compensation, filtration of upper harmonics and compensation of voltage tilts.Conclusion: the co-authors have formulated the objectives of research in the area of power efficiency and capacity improvement at mining farms.

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Hosseini, Seyed Ehsan, and Hesam Kamyab. "Sustainable energy and digital currencies: challenges and future prospect." Future Technology 1, no. 1 (2022): 26–32. http://dx.doi.org/10.55670/fpll.futech.1.1.4.

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Due to the impressive growth in digital coins trading, most cryptocurrencies' market cap has increased drastically. Therefore, more people are engaged in the mining process, causing a significant increase in electrical power consumption. To make cryptocurrency technology sustainable, using renewables such as photovoltaic solar power, wind energy, tidal power, geothermal power, hydroelectric power, fuel cell, and biomass has been implemented. Moreover, to decrease electrical power consumption in the cooling process of mining systems and computers, using phase change material (PCM) has been recommended. Since the cryptocurrency mining process is very competitive, only those miners will survive who employ the most competitive mining systems and benefit from the lowest electrical power costs. While the profitability of renewable electricity-based mining is lower than grid-based mining, the latter method compensates for better sustainability in cryptocurrency and lower environmental costs. This paper reviews the possible ways to make the cryptocurrency mining process clean and environmentally friendly.

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Huang, Shutong. "Data Mining Algorithm for Power User Network Based on Multi-Information Fusion." International Transactions on Electrical Energy Systems 2022 (September 6, 2022): 1–6. http://dx.doi.org/10.1155/2022/2337460.

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In order to solve the problem of accurately mining the power consumption characteristic data of power users, this paper proposes a research on power user network data mining algorithms based on multi-information fusion. In the past, the mining methods based on neural networks and cure algorithms were affected by noise data, resulting in low mining accuracy. To solve this problem, this paper proposes a user-complex power consumption feature mining method based on the K-means clustering algorithm. In the K-means clustering algorithm, the principle of mining complex power consumption characteristics of users is studied, and the data are cleaned, integrated, and preprocessed by protocol transformation to avoid noise interference. The information entropy principle is used to cluster the matrix to regularize the feature points. According to the complex power consumption characteristics, the power consumption feature points are determined through the cluster, the distance between the clusters is calculated, the power consumption feature information gain is obtained, and the user complex power consumption feature mining is completed. The experimental results show that the mining accuracy of this method is up to 99%, providing users with better quality services. Conclusion. The automatic control performance of the system is good, and the acquisition results are accurate and reliable.

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anthu, Dr. A. Jayalaxmi, Sukanth T, Dr S. Jay. "Power Quality Improvement in Underground Mining." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, no. 06 (2015): 4913–19. http://dx.doi.org/10.15662/ijareeie.2015.0406005.

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Fan, Weiguo, Linda Wallace, Stephanie Rich, and Zhongju Zhang. "Tapping the power of text mining." Communications of the ACM 49, no. 9 (2006): 76–82. http://dx.doi.org/10.1145/1151030.1151032.

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Bright, N. Geoffrey. "A Practice of Concrete Utopia? Informal Youth Support and the Possibility of ‘Redemptive Remembering’ in a UK Coal-Mining Area." Power and Education 4, no. 3 (2012): 315–26. http://dx.doi.org/10.2304/power.2012.4.3.315.

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Lv, Xiao, Da Zhang, Feng Jin, Xu Liu, and Xi Han. "Research of Mining High Power 802.11n Access Point." Applied Mechanics and Materials 571-572 (June 2014): 447–52. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.447.

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This paper designs and implements an IEEE 802.11n based mining high power access point to improve the disadvantages of low throughput, low communication distance which are met in current mining communication systems. By adding high power design to transmitting and receiving path, this design can get over more than 190Mbps throughput in lab testing, and can achieve more than 2km outdoor communication distance. Test results show that the mining high power access point is more suitable for mining application.

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Wang, Xin, Jiming Tian, and Fei Li. "Text data mining of power based on natural language processing technology." Journal of Physics: Conference Series 2221, no. 1 (2022): 012050. http://dx.doi.org/10.1088/1742-6596/2221/1/012050.

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Abstract This paper first introduces the development of text mining technology, points out the difficulties of text mining technology, and then designs the power text mining based on natural language processing technology Then it introduces the typical application of text data mining technology in 95598 customer service complaints. Finally, it puts forward the application effect and challenge of power text mining.

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Yasir, Muhammad, Muhammad Asif Habib, Shahzad Sarwar, Chaudhry Muhammad Nadeem Faisal, Mudassar Ahmad, and Sohail Jabbar. "HARPP: HARnessing the Power of Power sets for Mining Frequent Itemsets." Information Technology And Control 48, no. 3 (2019): 415–31. http://dx.doi.org/10.5755/j01.itc.48.3.21137.

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Modern algorithms for mining frequent itemsets face noteworthy deterioration of performance when minimum support tends to decrease, especially for sparse datasets. Long-tailed itemsets, frequent itemsets found at lower minimum support, are significant for present-day applications such as recommender systems. In this study, we have developed a novel power set based method named as HARnessing the Power of Power sets (HARPP) for mining frequent itemsets. HARPP iteratively generates power sets to make combinations of overlapping varying-sized subsets of I, where I is a set of items in a large database. Intrinsic feature of creating power sets along with the use of set data structure ensures the agility of HARPP because most of its operations take constant running time. Without storing it entirely in memory, HARPP scans the dataset only once and mines frequent itemsets on the fly. In contrast to state-of-the-art, efficiency of HARPP increases with decrease in minimum support that makes it a viable technique for mining long-tailed itemsets. Performance study shows that HARPP is efficient and scalable, and is faster up to two orders of magnitude than FP-Growth algorithm at lower minimum support particularly when datasets are sparse.

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Antsiferov, N. S. "Ways to Reduce Power Losses in Mining Power Supply Lines." Mining science and technology 4, no. 2 (2019): 150–56. http://dx.doi.org/10.17073/2500-0632-2019-2-150-156.

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Electric energy is the most common and universal form of energy. It can be produced in large quantities near energy sources, transmitted to large distances, easily distributed between consumers and converted into mechanical, thermal, and light energy. Ensuring reliable and economical quality electric energy supply to mining enterprises with the optimal use of energy resources is one of the most important tasks facing the country's energy sector. In the Russian Federation, high degree of concentration of generating capacities at power plants has been achieved. The main capacities are concentrated in power plants with installed capacity of more than 1 million kW. High importance of the electric power industry is determined by the infrastructural nature of the industry and the direct relationship between the country's economic growth and the level of its development effectiveness. One of the most pressing problems of modern electricity supply is the problem of ensuring the quality of electric energy. The main reason for the deterioration in the electricity quality is widespread non-linear loads that create non-sinusoidal currents and voltage unbalance during their operation. The voltage unbalance is most often caused by the presence of an unbalanced load. Unbalanced load currents flowing through the elements of the power supply system cause unbalanced voltage losses in them. This results in appearance of unbalanced voltages on the terminals of electric apparatus. The voltage deviations at electric apparatus overdriven phase may exceed the normally acceptable values, while the voltage deviations at electric apparatus other phases may remain within the normal limits. In addition to the deterioration of the voltage mode at electric apparatus under the unbalanced voltage conditions, the operating conditions of both the electric apparatus and all the network elements are significantly worsened, and the reliability of the electrical equipment and the power supply system as a whole decreased. The paper considers the issues of reducing the voltage losses in power supply networks by improving quality of electric power.

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Xue, Shan, Li Xiong, Zhao Lu, and Jia Wu. "Graph-theoretic node importance mining in world city networks: methods and applications." Information Discovery and Delivery 45, no. 2 (2017): 57–65. http://dx.doi.org/10.1108/idd-09-2016-0032.

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Purpose This study aims to review the literature on graph-theoretic mining methods for node importance in both static and dynamic world city networks, which is correspondingly categorised by graph-theoretic node importance mining on network topologies and transmission mechanisms. Design/methodology/approach The authors overview the graph-theoretic indicators of node importance: centrality and power. Then, the methods of graph-theoretic node importance mining on network topologies are assessed with node relevance, centrality- and power-based measurements, heterogeneous fusion and other miscellaneous approaches. The latest progress in transmission mechanisms is also reviewed in this study involving network evolution, node immunisation and robustness in dynamics. Finally, the findings are analysed and future directions in this field are suggested. Findings The method development of node importance mining is driven by complex application-based problems within a transmission mechanism. Fusion measurements, based on centrality and power, are extended by other graph mining techniques in which power has a significant role. In conclusion, the trends of node importance mining focus on power-embedded fusion measurements in the transmission mechanism-based complex applications. Originality/value This is the first systematic literature review of node importance from the view of graph-theoretic mining.

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L.I., Kovernikova, and Bui Ngoc Hung. "Estimation of Active Power Loss Due to Supraharmonics in a 22 kV Transmission Line." Energy Systems Research 7, no. 3(27) (2024): 14–21. http://dx.doi.org/10.25729/esr.2024.03.0002.

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Power systems in Vietnam's coal mining industrial areas supply power of inferior quality. Supraharmonic voltages and currents in power grids serving electric energy to open-cut coal mines were detected by measuring power quality indicators and operating parameters in the power grid serving electric energy to the open-pit coal mine and coal screening plant operated by "Cua Ong-Vinacomin" company. The active powers of harmonics and supraharmonics do not produce any useful work. They induce extra loss of active power. Coal mining and coal processing companies pay for the loss, which results in diminished rate of return for them. This paper offers a review of published research on the topic. It presents the results of measuring the operating parameters and power quality indicators for non-sinusoidal conditions at the point connecting a 22 kV power line to the power system that serves electric energy to an open-pit coal mine and coal screening plant. The active power loss caused by supraharmonics is calculated and analyzed.

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Zhang, Yang, Yourong Chen, Kelei Miao, Tiaojuan Ren, Changchun Yang, and Meng Han. "A Novel Data-Driven Evaluation Framework for Fork after Withholding Attack in Blockchain Systems." Sensors 22, no. 23 (2022): 9125. http://dx.doi.org/10.3390/s22239125.

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In the blockchain system, mining pools are popular for miners to work collectively and obtain more revenue. Nowadays, there are consensus attacks that threaten the efficiency and security of mining pools. As a new type of consensus attack, the Fork After Withholding (FAW) attack can cause huge economic losses to mining pools. Currently, there are a few evaluation tools for FAW attacks, but it is still difficult to evaluate the FAW attack protection capability of target mining pools. To address the above problem, this paper proposes a novel evaluation framework for FAW attack protection of the target mining pools in blockchain systems. In this framework, we establish the revenue model for mining pools, including honest consensus revenue, block withholding revenue, successful fork revenue, and consensus cost. We also establish the revenue functions of target mining pools and other mining pools, respectively. In particular, we propose an efficient computing power allocation optimization algorithm (CPAOA) for FAW attacks against multiple target mining pools. We propose a model-solving algorithm based on improved Aquila optimization by improving the selection mechanism in different optimization stages, which can increase the convergence speed of the model solution and help find the optimal solution in computing power allocation. Furthermore, to greatly reduce the possibility of falling into local optimal solutions, we propose a solution update mechanism that combines the idea of scout bees in an artificial bee colony optimization algorithm and the constraint of allocating computing power. The experimental results show that the framework can effectively evaluate the revenue of various mining pools. CPAOA can quickly and accurately allocate the computing power of FAW attacks according to the computing power of the target mining pool. Thus, the proposed evaluation framework can effectively help evaluate the FAW attack protection capability of multiple target mining pools and ensure the security of the blockchain system.

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Shi, Ruyi, Zheng Li, Zhenpeng Tang, and Di Wang. "Mechanism and Algorithm for Stable Trading Matching between Coal Mining and Power Generation Companies in China." Applied Sciences 12, no. 8 (2022): 3919. http://dx.doi.org/10.3390/app12083919.

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This paper is concerned with stable trading between the coal mining and power generation companies in China. Under the current marketized coal and planned electricity price systems, barriers to price shifting between coal and electricity are created and conflicts between the two sectors are aggravated. The stable trading matching between coal mining and power generation companies is not only an effective means to resolve the conflict in the coal trading market, but also a ballast stone for price stabilization and supply guarantees in coal trading. Based on the two-sided matching theory, this paper starts from the micro market preference and matching willingness of coal mining and power generation companies, puts forward the conceptual framework of the pairwise stable matching of both sides, innovates a mechanism for trading between coal mining and power generation companies, and designs a stable trading matching algorithm. The algorithm has certain theoretical innovation significance from the matching problem of non-separable commodities to that of separable commodities considering the trading volume between coal mining and power generation companies. Furthermore, it is a complement and perfection of the existing coal–power trading platform in its transaction mechanism and trading function. The results reveal that the trading relations between coal mining and power generation companies under the stable matching mechanism are resistant to disintegration and that the pairwise stable matching result is sensitive.

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Lobov, V. I., K. V. Lobova, and N. V. Popsuiko. "Wind power plant for a mining enterprise." Mining Journal of Kryvyi Rih National University, no. 102 (2017): 200–204. http://dx.doi.org/10.31721/2306-5435-2017-1-102-200-204.

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Manimala, K., K. Selvi, and R. Ahila. "FAST SVMS FOR POWER QUALITY DATA MINING." International Journal on Information Sciences and Computing 3, no. 1 (2009): 1–7. http://dx.doi.org/10.18000/ijisac.50033.

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Klontz, K. W., D. M. Divan, D. W. Novotny, and R. D. Lorenz. "Contactless Power Delivery System for Mining Applications." IEEE Transactions on Industry Applications 31, no. 1 (1995): 27–35. http://dx.doi.org/10.1109/28.363053.

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Menghetti, Diane. "Property and power on the mining frontier." Journal of Australian Studies 20, no. 49 (1996): 59–66. http://dx.doi.org/10.1080/14443059609391743.

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Bortnowska, Monika. "Prediction of power demand for ship motion control system of sea mining ship fitted with tubular winning system." Polish Maritime Research 14, no. 4 (2007): 24–30. http://dx.doi.org/10.2478/v10012-007-0036-7.

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Prediction of power demand for ship motion control system of sea mining ship fitted with tubular winning system One of the crucial systems of sea mining ship for poly-metallic concretions is its motion control system (SMC). Power of such system depends on sea environment characteristics and main dimensions of the ship. It can be expected that it will have important influence on total power of the ship's power plant and in effect on the mining ship's dimensions. In this paper is presented one of the possible ways of preliminary estimation of design power of SMC system for sea mining ship. Since details of design solution of such system for the ship in question are unknown (ships of the kind have not been built so far) the presented results should be considered to be the first estimation of the order of the power demand.

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Bhagat,, Mr Prashant. "Automatic Power Factor Correction." International Scientific Journal of Engineering and Management 03, no. 04 (2024): 1–9. http://dx.doi.org/10.55041/isjem01549.

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With the mining industry moving from traditional manual methods to the advanced mechanised mining, the focus is also shifting to the energy efficiency of the equipment and system being employed. Most of the equipment used in mining like shovel, drill, elevator, continues miner, conveyor, pumps etc. runs on electricity. Electric energy being the only form of energy which can be easily converted to any other form plays a vital role for the growth of any industry. The Power Factor gives an idea about the efficiency of the system to do useful work out of the supplied electric power. A low value of power factor leads to increase is electric losses and also draws penalty by the utility. Significant savings in utility power costs can be realized by keeping up an average monthly power factor close to unity. To improve the power factor to desired level, reactive power compensators are used in the substations. The most common used device is capacitor bank which are switched on and off manually based on the requirement. If automatic switching can be employed for the correction devices, not only it will improve the response time but also removes any scope for error. The work carried out is concerned with developing power factor correction equipment based on embedded system which can automatically monitor the power factor in the mining electrical system and take care of the switching process to maintain a desired level of power factor which fulfils the standard norms. The Automatic Power Factor Correction (APFC) device developed is based on embedded system having 89S52 microcontroller at its core. The voltage and current signal from the system is sampled and taken as input to measure the power factor and if it falls short of the specified value by utility, then the device automatically switch on the capacitor banks to compensate for the reactive power. Keywords:- Automatic, Power factor, Single phase, Domestic, TRIAC, Capacitor Bank etc.

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Petrov, Vadim, Alhidin Sadridinov, and Alexandr Pichuev. "Analysis and Modeling of Power Consumption Modes of Tunnelling Complexes in Coal Mines." E3S Web of Conferences 174 (2020): 01006. http://dx.doi.org/10.1051/e3sconf/202017401006.

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The technological processes of mining enterprises are largely energy-intensive; therefore, studying the modes of power consumption in different sites of a mining enterprise is a relevant task, as it makes it possible to reduce current costs. The article presents the results of an experimental study of the dynamics of changes in the specific power consumption depending on per-shift indicators of extracted rock volume and the rate of mine workings penetration. The analysis of geological, technological and organizational factors affecting the efficiency of mining operations in coal mines is performed. Energy technological profiles and recommendations for assessing sustainable levels of power consumption by mechanized tunnelling complexes are given. Dynamic and predictive models of power consumption have been developed taking into account the main time trends and additive components within the limits that ensure a steady level of power consumption. Special recommendations on improving the efficiency of power consumption during mining operations are given.

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Wang, Jing, Senkai Wu, Hai Liang, Yong Ding, and Yong Zhai. "Adaptive mining difficulty for blockchain to resist selfish mining attack." Journal of Surveillance, Security and Safety 3, no. 4 (2023): 14–34. http://dx.doi.org/10.20517/jsss.2023.05.

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Aim: A blockchain provides data consistency and builds a fair mining environment for a network by using a consensus mechanism such as proof of work (PoW) and proof of stake. However, selfish mining is a well-known mining attack. It can reduce the fairness and destabilize the network, especially for a PoW-based blockchain. Therefore, in this paper, we propose a new approach, named the adaptive mining difficulty adjustment protocol, which can deter a selfish attack. Methods: We propose using the unit profit as an improved version of the relative revenue, because it is more flexible for calculating the miners’ profits in different periods and can be used to analyze repeated mining games. Based on the unit profit, we propose using the adaptive mining-difficulty adjustment protocol to reduce an attacker’s profit. Our protocol evaluates the effective hash power in a network more accurately and corrects the mining difficulty. Moreover, we introduce the discount factor and model the long-term profit to analyze the impact of a miner’s patience on its future profit. Results: We used an open-source simulator to simulate the competition between a selfish miner and an honest miner and determined their profits under different protocols. Our experimental results show that our protocol can effectively raise the attack threshold, but it reduces the total network profit if the attacker still attacks. However, the long-term profit model shows that a more patient attacker needs to invest more hash power and pay increased mining costs to maintain its attack. Conclusion: We conclude that, under our protocol, selfish attackers will tend to become honest miners if their hash power does not exceed the threshold, which means that our protocol can effectively deter selfish attacks and some variants of selfish attacks. Briefly, our protocol can correct the mining difficulty and leads to a more stable and fairer mining environment for a PoW-based blockchain.

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Ikhsan, Rahul, Fitri Ramadhani Harahap, and Herdiyanti. "Power Relations in The Context of Unconventional Tin Mining in the PICE Dam Area, Lenggang Village." Social Science Studies 3, no. 3 (2023): 207–34. http://dx.doi.org/10.47153/sss33.6162023.

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The purpose of this study is to describe all forms of unconventional tin mining practices in the Pice dam area of Lenggang Village, to analyze the process of forming power relations in unconventional tin mining practices in the Pice Dam area and to analyze the implications produced by a relationship in unconventional tin mining practices on social conditions. the local community of Lenggang Village. This study used a qualitative research method with a descriptive analysis approach. Sources of research data come from primary and secondary data. Primary data was obtained through observation and interviews with Tin Miners, Village Heads, Mining Bosses, DLH of East Belitung Regency, Mosque Management and Non-Mining Communities. Secondary data obtained through documentation and various supporting documents. The technique for determining informants used a purposive sampling technique. The theory used to analyze the phenomena in this study is the theory of power relations by Michel Foucault. The results of the study consist of: First, mining practices began based on the transition from Conventional Mining (TK) to Unconventional Mining (TI) with the economic benefits of Rajuk Unconventional Mining (TI) being very high, this occurred as a result of a change in the status of PT Timah from a State Enterprise (PN) to become BUMN which is considered as people's mining. Second, power relations consist of bosses, miners, police, village government and mosque administrators who spread the dominant discourse of mining as power-knowledge. Third, discipline occurs in the form of governmentality such as the death of the resistance movement, bias on educational issues and high levels of consumption due to the low human development index.

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Gundaboina, Lokesh, Sumit Badotra, Tarandeep Kaur Bhatia, et al. "Mining Cryptocurrency-Based Security Using Renewable Energy as Source." Security and Communication Networks 2022 (June 29, 2022): 1–13. http://dx.doi.org/10.1155/2022/4808703.

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Cryptocurrency mining and blockchain technology using renewable energy as the main electricity source has gained attention for sustainable development in financial areas. However, very few studies have been reported concerning the power usage of cryptocurrencies using renewable energy. In this article, we report the effect of overclocking and undervolting on power usage and the hash rate for mining dogecoin with solar energy as renewable energy. The mining rig used in this work consists of different graphics processing units (GPUs) and non-LHR (lite hash rate) cards. The UnMineable software has been used for mining dogecoin as well as for wallet integration. The results indicate that mining dogecoin with solar energy as renewable energy consumes 2000 Watts power with overclocking and 1700 Watts power with undervolting technique. This work implicates the potential future of crypto-mining with renewable energy and the hardware configuration associated with it, which is expected to reduce e-waste and improve sustainable development. To reduce the e-waste and high electricity consumption, we have introduced two important techniques named GPU optimization and use of renewable energy for mining, which helps the miners to reduce the e-waste and electricity consumption significantly at the same time getting most out of the GPU by not having any impact on the environment.

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Sununianti, Vieronica Varbi. "Relasi Kuasa dan Perjuangan Kesetaraan Gender: Narasi Perempuan Mengelola Pertambangan Minyak Artisanal di Sumatera Selatan." RESIPROKAL: Jurnal Riset Sosiologi Progresif Aktual 6, no. 2 (2024): 245–56. https://doi.org/10.29303/resiprokal.v6i2.629.

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This article emphasizes power relations and gender equality dynamics in resource management in the artisanal oil mining sector of South Sumatra. Michel Foucault’s perspective on knowledge and power is used to explore how power structures that change women’s roles emerge as a result of livelihood shifts from rubber farming to artisanal oil mining. The descriptive qualitative study with live-in assisted in the process of interviewing and observing a number of artisanal oil miners as well as women in Dusun Tue, Musi Banyuasin Regency, South Sumatra. Historically, women were active and equal in economic activities based on rubber farming. However, the emergence of artisanal mining has seen women’s roles gradually excluded from productive spaces, especially at mining sites due to perceived “taboos”. This exclusion is part of a power strategy that produces gender inequality through normalized social norms. Nevertheless, a critical analysis perspective helps to see the uniqueness of various forms of power and resistance and women’s agents to resist such discrimination. Even though they are excluded from mining sites, women remain involved in mining activities through mining partnerships, scavenging for oil spills, and even determining well-drilling locations through the ritual of “meniduri tanah”. Women also play an important role in local economic empowerment through micro, small, and medium enterprises, thus continuing to contribute to family and community livelihoods. This study illustrates that power is contested in various contexts. In artisanal oil mining, the relationship between men and women reveals not only structural inequality but also the process of women’s struggle over their role in the local economy. Hence, this study provides an important perspective on the role of gender in resource management in the informal sector. Further, economic changes not only increase gender inequality but also enable empowerment and resistance strategies.

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Schwarz-Schilling, Caspar, Sheng-Nan Li, and Claudio J. Tessone. "Stochastic Modelling of Selfish Mining in Proof-of-Work Protocols." Journal of Cybersecurity and Privacy 2, no. 2 (2022): 292–310. http://dx.doi.org/10.3390/jcp2020016.

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In blockchain-based systems whose consensus mechanisms resort to Proof-of-Work (PoW), it is expected that a miner’s share of total block revenue is proportional to their share of hashing power with respect to the rest of the network. The protocol relies on the immediate broadcast of blocks by miners, to earn precedence in peers’ local blockchains. However, a deviation from this strategy named selfish mining (SM), may lead miners to earn more than their “fair share”. In this paper, we introduce an agent-based model to simulate the dynamics of SM behaviour by a single miner as well as mining pools to understand the influence of (a) mining power distribution, (b) overlay network topology, (c) positioning of the selfish nodes within the peer to peer network. Our minimalistic model allows us to find that in high levels of latency, SM is always a more profitable strategy; our results are very robust to different network topologies and mining nodes’ centrality in the network. Moreover, the power-law distribution of the miners’ hashing power can make it harder for a selfish miner to be profitable. In addition, we analyze the effect of SM on system global efficiency and fairness. Our analysis confirms that SM is always more profitable for hashing powers representing more than one-third of the total computing power. Further, it also confirms that SM behaviour could cause a statistically significant high probability of continuously mined blocks opening the door for empirical verification of the phenomenon.

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KLYUEV, R. V., I. I. BOSIKOV, O. A. GAVRINA, and CH E. ZAOUI. "ANALYSIS OF THE SPECIFIC POWER CONSUMPTION OF COPPER AND BARITE ORE MINING PROCESSES AT THE MINING AND PROCESSING COMPANY." News of the Tula state university. Sciences of Earth 2, no. 1 (2023): 260–73. http://dx.doi.org/10.46689/2218-5194-2023-2-1-260-273.

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The analysis of power consumption at the quarry of the mining and processing plant and the improvement of the operating modes of electrical equipment (electric excavators, drilling machines) is important, as it allows you to determine ways to reduce power consumption and increase the efficiency of mining operations. Based on experimental studies using statistical methods, the paper determines the parameters of electricity consumption for individual technological and auxiliary sections of a quarry (overburden, mining of copper ore, loading from a dump of quartzites, loading from dumps of barite ore, mining of basalt stone, crushing of basalt stone). A method for predicting specific power consumption for individual technological sections of a quarry has been developed using modern software. The results of this work allow us to quickly control the power consumption at the quarry of the mining and processing plant, to predict it, and on this basis, by improving the production technology, to obtain the appropriate economic effect. The effect can also be obtained by reducing the downtime of electrical equipment in a quarry while improving relay protection.

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Yao, You Ping. "Research in the Application of Data Mining Technique in Power System." Applied Mechanics and Materials 443 (October 2013): 239–42. http://dx.doi.org/10.4028/www.scientific.net/amm.443.239.

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In the dozen years after our country enters the new century, the industrial development has made considerable progress. Under such pace of advancement, it is the development and utilization of energy that plays a key role. Among these great progresses, the development momentum of the coal industry has been far beyond peoples previous expectation. The development and utilization of coal resources has not only been widely used in China, but also been an important research subject in some advanced countries in the world. The level of current coal data mining has seriously hampered the development of coal mining enterprises. As a kind of new revolutionary technology, data mining technique is mainly based on the power management system. Such technique can handle all the tasks and fully play the advantage of digital characterization. In this paper, we will make a related study of the hot topic on coal mining power management system based on the data mining technique.

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Purwandari, Heru, Arya Hadi Dharmawan, Ekawati Sri Wahyuni, and Satyawan Sunito. "Asymmetric Power Among Actors on Landscape Transformation (a Study of Ecosystem Degradation)." IOP Conference Series: Earth and Environmental Science 1503, no. 1 (2025): 012002. https://doi.org/10.1088/1755-1315/1503/1/012002.

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Abstract Resource contestation leads to the dominance of a certain actor’s power over another as a consequence of asymmetric power relations. Rural areas are arenas where various powers take place and have an impact on the transformation of rural landscapes. Landscape transformation is often preceded by an actor accessing certain resources along with the process of exclusion for other groups. This exclusion process involves various power mechanisms, such as regulation, force, the market, and legitimation. Actors interested in certain resources will apply one or more powers (a bundle of powers). This study focuses on how power relations contribute to landscape transformation. This study aims to analyze the power that transforms agricultural villages into mining villages and its impact on ecological functions. This study began by comparing landscape maps from 2005 to 2023 to analyze the land-use changes. The method applied using GIS by performing geo-spatial mapping, in-depth interviews, and organizing FGDs with the local community to gain power relations descriptions among actors. The results show that land transfer occurs through various powers depending on the period and circumstances that encourage people to release their land. This process provides opportunities for specific actors to utilize and transform the landscape according to their interests. Rice fields receive indirect and direct impacts from mining activities; therefore, the function of this ecosystem is collapsing, and the ecological function decreases dramatically.

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Hoffmann, Leah. "Mining energy from 'empty' air." Communications of the ACM 65, no. 3 (2022): 112. http://dx.doi.org/10.1145/3510556.

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Sinchuk, Oleg M., and Danyil V. Kobeliatskyi. "Modeling assessment of power consumption efficiency at iron ore mining enterprises." Applied Aspects of Information Technology 6, no. 1 (2023): 43–51. http://dx.doi.org/10.15276/aait.06.2023.3.

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Today's world requires controlling the process of power consumption and supply. The control system should respond proactively and preventively to external disturbances. Among such disturbances for iron ore mining enterprises, the most significant are changes in the technology of operating modes of stationary power receivers, taking into account power costs. General methodological approaches to forming models that relate power consumption indices for a given volume of ore mass mined are investigated. Methods of formalizing components of the power system of iron ore mining enterprises engaged in underground mining of iron ore raw materials are under study. Methods for building a mathematical model of optimal power consumption efficiency are studied. The synthesized model makes it possible to determine the mode of operation required to mine a given amount of ore mass, while minimizing the cost of power consumption. A target function is built considering the cost of power consumed by an iron ore underground mining enterprise. Minimization of the power consumption cost is formed as a task of reducing the functional in terms of the active power consumed at a certain period of time. The proposed solution is limited to the condition that the cost of active power is time dependent, i.e. it is a piecewise-constant function. As a result, the power cost is given by a piecewise-constant function with two values. A qualitative graphical representation of the considered time dependence of the active power cost is presented. Based on visual and graphical analysis, an analytical function of the active power cost according to time of day is formed.

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Szabłowski, Łukasz, Piotr Krawczyk, and Krzysztof Badyda. "Energy storage using underground mining caverns." E3S Web of Conferences 108 (2019): 01004. http://dx.doi.org/10.1051/e3sconf/201910801004.

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In recent years, due to the very intensive development of renewable sources (working in a very irregular and unpredictable way), energy storage has acquired a special importance for the stability of the power system. There are many methods of energy storage, but only two have adequate capacity and power: Pumped Hydro Storage (PHS) and Compressed Air Energy Storage (CAES). The article presents energy analysis of energy storage system based on compressed air inside underground mining caverns. A dynamic mathematical model of CAES system of parameters and structure similar to the Huntorf type power plant was constructed. Filling and emptying of the cavern with compressed air was numerically simulated. Balance calculations for selected configuration of the system was performed. Four different equations were used to describe the efficiency of the storage.

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Zhang, Zhiyi, Hao Liu, Hui Su, and Qiang Zeng. "Green Mining Takes Place at the Power Plant." Minerals 12, no. 7 (2022): 839. http://dx.doi.org/10.3390/min12070839.

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The number of large coal power plants, characterized by pithead plants, is increasing rapidly in major coal mining countries around the world. Overburden movement caused by coal mining and greenhouse gas emissions caused by coal thermal power generation are intertwined, and have become important challenges for mine ecological environment protection at present and in the future. In order to provide more options for green mining in large coal power plants, a large coal power base in northwest China was taken as the researching background in this paper, and a green mining model considering the above two aspects of ecological environment damages was proposed; that is, the carbon dioxide greenhouse gas produced by coal-fired power plants can be geologically trapped in goaf, whose overburden stability is controlled by backfill strips made of solid mine waste. In order to explore the feasibility of this model, the bearing strength of the filled gray brick consisting mainly of aeolian sand and fly ash under different curing methods was firstly studied, and it was discovered that the strength of the gray brick significantly improved after carbonization curing. After that, X-ray diffraction (XRD) and scanning electron microscopy (SEM) were employed to compare the mineral composition and its spatial morphology in gray brick before and after carbonization, and it is believed that the formation of dense acicular calcium carbonate after carbonization curing was the fundamental reason for the improvement of its bearing strength. Finally, a series of stope numerical models were established with UDEC software to analyze the surface settlement, crack propagation height and air tightness of the overlying strata, respectively, when goaf was supported by the backfilling strips with carbonized gray brick. The research results of this paper showed that the stability of overlying strata in goaf can be effectively controlled by adjusting the curing methods, width and spacing of the filled gray brick, so as to facilitate the following geological sequestration of carbon dioxide greenhouse gas in goaf. Consequently, the ecological environment damages caused by coal mining and utilization in a large coal power base can be resolved as a whole, and the purpose of green mining can be achieved as desired.

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Voronin, Vyacheslav, Fedor Nepsha, Andrew Kulikov, Anton Korneev, and Anastasia Khasanova. "Simulation modeling of the power supply system of the coal mine excavation area with facts devices." E3S Web of Conferences 315 (2021): 01013. http://dx.doi.org/10.1051/e3sconf/202131501013.

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The introduction of technologies for active-adaptive control of the operating modes of the power supply systems of coal mines can contribute to an increase in the energy efficiency of coal mining. High-response FACTS devices of the second generation can be used for dynamic reactive power compensation, voltage regulation and limitation of current and voltage harmonic components in conditions of sharply variable electrical loads of mining machines at a breakage face. Evaluation of the effectiveness of the implementation of FACTS devices in the power supply systems of coal mines can be performed using simulation methods.This article discusses the main approaches to the development of a simulation model of a power supply system of a coal mine, mining equipment and FACTS devices. The main results of modeling the joint operation of mining machines are shown. Conclusions about the effectiveness of the use of FACTS devices in the extraction area of a coal mine are made.

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Wang, John, Qiannong Gu, and Gang Wang. "Potential Power and Problems in Sentiment Mining of Social Media." International Journal of Strategic Decision Sciences 4, no. 2 (2013): 16–26. http://dx.doi.org/10.4018/jsds.2013040102.

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Sentiment mining research has experienced an explosive growth in awareness and demand as Web 2.0 technologies have paved the way for a surge of social media platforms that have significantly and rapidly increased the availability of user generated opinioned text. The power of opinions has long been known and is beginning to be tapped to a fuller potential through sentiment mining research. Social media sites have become a paradise for sentiment providing endless streams of opinioned text encompassing an infinite array of topics. With the potential to predict outcomes with a relative degree of accuracy, sentiment mining has become a hot topic not only to researchers, but to corporations as well. As the social media user base continues to expand and as researchers compete to fulfill the demand for sentiment analytic tools to sift through the endless stream of user generated content, the growth of sentiment mining of social media will continue well into the future with an emphasis on improved reliability, accuracy, and automation.

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Lee, Dong-Yun, Won-Yeop Seok, Min-Whan Choi, Sang-Ho Park, Jin-Ho Hwang, and In-Hak Jeong. "A Novel Power-Factor Control Technique of Power Supply for Mining Systems." Korean Society of Technical Education and Training 25, no. 1 (2020): 15–22. http://dx.doi.org/10.29279/kostet.2020.25.1.15.

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Swetapadma, Aleena, and Anamika Yadav. "Data-mining-based fault during power swing identification in power transmission system." IET Science, Measurement & Technology 10, no. 2 (2016): 130–39. http://dx.doi.org/10.1049/iet-smt.2015.0169.

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Abduazizov, N. A., Zh B. Toshov, and A. Sh Zhuraev. "THE RESEARCH OF "HYDROBANK-COOLER" SYSTEMS OF HYDRAULIC POWER UNITS OF HYDRAULIC MINING MACHINES." EurasianUnionScientists 4, no. 2(71) (2020): 4–8. http://dx.doi.org/10.31618/esu.2413-9335.2020.4.71.598.

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Today, powerful expensive equipment is used in mining enterprises. Downtime, breakdowns and repairs of hydraulic mining machines lead to large financial losses of mining enterprises. Mechanical particles, microdroplets of water and air bubbles that fall into hydraulic fluids during operation, significantly affect the properties of the working fluid. In this regard, maintaining the quality of the working fluid used in expensive hydraulic mining machines is one of the most important tasks of modern hydraulics.

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Wilson, Andrew. "Machines, Power and the Ancient Economy." Journal of Roman Studies 92 (November 2002): 1–32. http://dx.doi.org/10.2307/3184857.

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This paper explores, in a very preliminary fashion, the relationship in the ancient world between the design and use of mechanical technology, social or political patronage and investment, and economic return, using three main areas as case studies: water-lifting devices, the water-powered grain mill, and the diverse uses of water-power in mining. The emphasis is on the use of devices and techniques which replaced human power with alternative power sources, and especially on water-power for driving machinery and hydraulic mining techniques employing the erosive power of water. It is argued that water-power was used on a wide scale and in diversified forms at an early date (by the first century A.D.), and that the use of mechanical technology to perform economically critical work had an important impact on economic performance and the potential for per capita growth, especially in the latter centuries B.C. and the first two centuries A.D. Conversely, in the third century A.D. the cessation of the employment of hydraulic mining techniques enabling large-scale extraction of gold and other metals may have had an adverse economic impact on the economy as a whole. Growth and progress do not necessarily follow a linear pattern of advance; technologies are lost as well as adopted.

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Walker, Tamara J. "Power and Portraiture in a Bolivian Mining Town." American Art 36, no. 2 (2022): 27–31. http://dx.doi.org/10.1086/720913.

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Sharma, Sachin, and Lavina Jadhav. "Power Consumption And E-Waste of Cryptocurrency Mining." Journal of Big Data Technology and Business Analytics 1, no. 3 (2022): 6–10. http://dx.doi.org/10.46610/jbdtba.2022.v01i03.002.

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This paper identified the understanding the impact of crypto-currency mining on social & environment. Cryptocurrency, an encrypted peer-to-peer network to facilitate the exchange of digital goods, is a technology that was developed 8 years ago. While crypto-currencies are unlikely to replace traditional currencies, they can change the way global internet-connected markets interact, removing barriers around national currencies and exchange rates. Indian youth has invested hugely in cryptocurrency, a new crypto community has emerged. In India, many start-ups started based on block chain technology and cryptocurrency trading system which increased the popularity of Cryptocurrency among the youth which results in increase of cryptocurrency mining. Country youths are falling for marketing techniques used by companies to increase their user base by showing profits which result in financial risk among the young peoples among the countries.

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Jahromi, Mohsen Ghaffarpour, Galina Mirzaeva, Steven D. Mitchell, and David Gay. "Powering Mobile Mining Machines: DC Versus AC Power." IEEE Industry Applications Magazine 22, no. 5 (2016): 63–72. http://dx.doi.org/10.1109/mias.2015.2459082.

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Calders, Toon, Laks V. S. Lakshmanan, Raymond T. Ng, and Jan Paredaens. "Expressive power of an algebra for data mining." ACM Transactions on Database Systems 31, no. 4 (2006): 1169–214. http://dx.doi.org/10.1145/1189769.1189770.

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Lo, Yuen C., and Francesca Medda. "Bitcoin mining: converting computing power into cash flow." Applied Economics Letters 26, no. 14 (2018): 1171–76. http://dx.doi.org/10.1080/13504851.2018.1540841.

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Sforna, M. "Data mining in a power company customer database." Electric Power Systems Research 55, no. 3 (2000): 201–9. http://dx.doi.org/10.1016/s0378-7796(00)00086-9.

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Suarez-Vazquez, Ana, and Elena Montañés-Roces. "Superstars Power, Mining the Paths to Stars’ Persuasion." Computational Economics 49, no. 1 (2015): 67–81. http://dx.doi.org/10.1007/s10614-015-9540-5.

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Ohana, I., U. H. Bezerra, and J. P. A. Vieira. "Data-mining experiments on a hydroelectric power plant." IET Generation, Transmission & Distribution 6, no. 5 (2012): 395–403. http://dx.doi.org/10.1049/iet-gtd.2011.0594.

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Kusiak, Andrew, Haiyang Zheng, and Zhe Song. "Wind farm power prediction: a data-mining approach." Wind Energy 12, no. 3 (2009): 275–93. http://dx.doi.org/10.1002/we.295.

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Li, Feng, Hong Bin Wang, Dao Jun Deng, and Yan Xia Zhang. "The Applications of Real-Time Data Mining Technology in Fault Prediction of Power Plant Generator." Applied Mechanics and Materials 740 (March 2015): 351–54. http://dx.doi.org/10.4028/www.scientific.net/amm.740.351.

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This paper mainly discusses the applications of real-time data mining technology in fault prediction of power plant generator. Massive real-time historical data of thermal power plant turbine generator equipment is stored to realize comprehensive quantitative assessment of thermal power plant turbine generator’s online security status and potential failure Early Warning. It is based on the Real-time data mining analysis and modeling techniques.

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