Literatura científica selecionada sobre o tema "Mining pools"
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Artigos de revistas sobre o assunto "Mining pools"
Fujita, Kentaro, Yuanyu Zhang, Masahiro Sasabe e Shoji Kasahara. "Mining Pool Selection under Block WithHolding Attack". Applied Sciences 11, n.º 4 (10 de fevereiro de 2021): 1617. http://dx.doi.org/10.3390/app11041617.
Texto completo da fonteLiu, Xiao, Zhao Huang, Quan Wang, Yin Chen e Yuan Cao. "A Repeated Game-Based Distributed Denial of Service Attacks Mitigation Method for Mining Pools". Electronics 13, n.º 2 (18 de janeiro de 2024): 398. http://dx.doi.org/10.3390/electronics13020398.
Texto completo da fonteZhang, Yang, Yourong Chen, Kelei Miao, Tiaojuan Ren, Changchun Yang e Meng Han. "A Novel Data-Driven Evaluation Framework for Fork after Withholding Attack in Blockchain Systems". Sensors 22, n.º 23 (24 de novembro de 2022): 9125. http://dx.doi.org/10.3390/s22239125.
Texto completo da fonteKusin, Faradiella Mohd, Mohd Syakirin Md Zahar, Siti Nurjaliah Muhammad, Zafira Md Zin e Sharifah Mohd Sharif. "Assessing the potential use of abandoned mining pools as an alternative resource of raw water supply". Water Supply 16, n.º 2 (5 de outubro de 2015): 410–17. http://dx.doi.org/10.2166/ws.2015.150.
Texto completo da fonteRen, Min, Hongfeng Guo e Zhihao Wang. "Mitigation of block withholding attack based on zero-determinant strategy". PeerJ Computer Science 8 (21 de julho de 2022): e997. http://dx.doi.org/10.7717/peerj-cs.997.
Texto completo da fonteLiu, Xiao, Zhao Huang, Quan Wang e Bo Wan. "An Evolutionary Game Theory-Based Method to Mitigate Block Withholding Attack in Blockchain System". Electronics 12, n.º 13 (25 de junho de 2023): 2808. http://dx.doi.org/10.3390/electronics12132808.
Texto completo da fonteAlkalay-Houlihan, Colleen, e Nisarg Shah. "The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 1724–31. http://dx.doi.org/10.1609/aaai.v33i01.33011724.
Texto completo da fonteÇulha, Davut. "Maximizing proof-of-work decentralization". Ingenieria Solidaria 20, n.º 1 (20 de dezembro de 2023): 1–16. http://dx.doi.org/10.16925/2357-6014.2024.01.04.
Texto completo da fonteToroghi Haghighat, Alireza, e Mehdi Shajari. "Block withholding game among bitcoin mining pools". Future Generation Computer Systems 97 (agosto de 2019): 482–91. http://dx.doi.org/10.1016/j.future.2019.03.002.
Texto completo da fonteGowan, Samuel W., e Steven M. Trader. "Mine failure associated with a pressurized brine horizon; Retsof salt mine, western New York". Environmental and Engineering Geoscience 6, n.º 1 (1 de fevereiro de 2000): 57–70. http://dx.doi.org/10.2113/gseegeosci.6.1.57.
Texto completo da fonteTeses / dissertações sobre o assunto "Mining pools"
Giles, Peter James. "Microarray-based expression profiling : improving data mining and the links to biological knowledge pools". Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/54074/.
Texto completo da fonteTovanich, Natkamon. "Visual Analytics for Monitoring and Exploration of Bitcoin Blockchain Data". Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG010.
Texto completo da fonteBitcoin is a pioneer cryptocurrency that records transactions in a public distributed ledger called the blockchain. It has been used as a medium for payments, investments, and digital wallets that are not controlled by any government or financial institution. Over the past ten years, transaction activities in Bitcoin have increased rapidly. The volume and evolving nature of its data pose analysis challenges to explore diverse groups of users and different activities on the network. The field of Visual Analytics (VA) has been working on the development of analytical systems that allow humans to interact and gain insights from complex data. In this thesis, I make several contributions to the analysis of Bitcoin mining activity. First, I provide a characterization of the past work and research challenges related to VA for blockchains. From this assessment, I proposed a VA tool to understand mining activities that ensure data integrity and security on the Bitcoin blockchain. I propose a method to extract miners from the transaction data and trace pool hopping behavior. The empirical analysis of this data revealed that emerging mining pools provided a better incentive to attract miners. Simultaneously, miners strategically chose mining pools to maximize their profit. To explore the evolution and dynamics of this activity over the long term, I developed a VA tool called MiningVis that integrates mining behavior data with contextual information from Bitcoin statistics and news. The user study demonstrates that Bitcoin miner participants use the tool to analyze higher-level mining activity rather than mining pool details. The evaluation of the tool proves that it helped participants to relate multiple information and discover historical trends of Bitcoin mining
Steinberg, Rebecca M. "Predicting Post-Mining Hydrologic Effects of Underground Coal Mines in Ohio throughMultivariate Statistical Analyses and GIS Tool Building". Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1555429886192267.
Texto completo da fonteChehade, Imad. "Essais sur l'économie des technologies blockchain et des crypto-monnaies". Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR057.
Texto completo da fonteThis thesis presents three essays that contribute to determining the opportunities and challenges of blockchain technologies and cryptocurrencies, in order to understand their potential for adoption in the banking system and the economy in general. Firstly, we have demonstrated, through a literature review, practical experiments, and a comparative analysis of different existing DLT platforms, that consortium alternative DLTs are the prototypes likely to predominate in the banking system in the future. Next, we highlighted the resilience and robustness of the main reward systems used by mining pools in the face of Bitcoin halving events. This comparison is complemented by additional calculations that truly enrich the analysis of the decisions and behaviors of miners joining a pool. Finally, we developed a tokenization solution tailored for Lebanon, aimed at ensuring economic recovery, while addressing the country’s tumultuous economic context and examining the challenges of existing digital solutions
Zini, Alberto. "Analisi e progettazione di una mining pool sostenibile per TurtleCoin". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19620/.
Texto completo da fonteSchafer, Lindsey A. "Statistical Analysis of Mining Parameters to Create Empirical Models to Predict Mine Pool Formation in Underground Coal Mines". Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1525947021230552.
Texto completo da fonteMoore, David Gerald. "AspectAssay: A Technique for Expanding the Pool of Available Aspect Mining Test Data Using Concern Seeding". NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/254.
Texto completo da fonteKelečéni, Jakub. "Forenzní analýza těžebních serverů kryptoměn". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385930.
Texto completo da fonteKalia, Bhanu. "Mining the Aegilops tauschii gene pool: evaluation, introgression and molecular characterization of adult plant resistance to leaf rust and seedling resistance to tan spot in synthetic hexaploid wheat". Diss., Kansas State University, 2015. http://hdl.handle.net/2097/18934.
Texto completo da fonteGenetics Interdepartmental Program
Bikram S. Gill
Leaf rust, caused by fungus Puccinia triticina, is an important foliar disease of wheat worldwide. Breeding for race-nonspecific resistant cultivars is the best strategy to combat this disease. Aegilops tauschii, D genome donor of hexaploid wheat, has provided resistance to several pests and pathogens of wheat. To identify potentially new adult plant resistance (APR) genes, 371 geographically diverse Ae. tauschii accessions were evaluated in field with leaf rust (LR) composite culture of predominant races. Accessions from Afghanistan only displayed APR whereas both seedling resistance and APR were common in the Caspian Sea region. Seventeen accessions with high APR were selected for production of synthetic hexaploid wheat (SHW), using ‘TetraPrelude’ and/or ‘TetraThatcher’ as tetraploid parents. Six SHWs were produced and evaluated for APR to LR and resistance to tan spot at seedling stage. Genetic analysis and mapping of APR introgressed from accession TA2474 was investigated in recombinant inbred lines (RIL) population derived from cross between SHW, TA4161-L3 and spring wheat cultivar, ‘WL711’. Genotyping-by-sequencing approach was used to genotype the RILs. Maximum disease severity (MDS) for LR was significantly correlated among all experiments and APR to LR was highly heritable trait in this population. Nine genomic regions significantly associated with APR to LR were QLr.ksu-1AL, QLr.ksu-1BS, QLr.ksu-1BL.1, QLr.ksu-1BL.2, QLr.ksu-2DS, QLr.ksu-2DL, QLr.ksu-5AL, QLr.ksu-5DL and QLr.ksu-6BL. Association of QLr.ksu-1BL.1 with marker Xwmc44 indicated this locus could be slow-rusting APR gene, Lr46/Yr29. QTLs detected on 2DS, 2DL and 5DL were contributed by TA4161-L3 and are novel, along with QLr.ksu-5AL. Tan spot, caused by necrotrophic fungus, Pyrenophora tritici-repentis, has recently emerged as a damaging disease of wheat worldwide. To identify QTLs associated with resistance to Race 1 of P. tritici-repentis, F[subscript]2:3 population derived from cross between SHW, TA4161-L1 and winter wheat cultivar, ‘TAM105’ was used. Two major effect QTLs, QTs.ksu-1AS.1 and QTs.ksu-7AS were significantly associated with tan spot resistance and contributed by TA4161-L1. QTs.ksu-7AS is a novel QTL and explained 17% of the phenotypic variation. Novel QTLs for APR to LR and tan spot identified in SHWs add new variation for broadening the gene pool of wheat and providing resources for breeding of durable resistant cultivars.
Salén, Filip. "Visualization of Dynamic Memory in C++ Applications". Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-75286.
Texto completo da fonteOptimerad minneshantering är viktig för att uppnå hög prestanda i en krävande applikation. Men att upptäcka icke optimerade eller oönskade minnesbeteenden kan vara svårt utan en visuell översikt över hur minnet är strukturerat under programmets exekvering. Denna avhandling undersöker hur dynamisk minnesallokering kan visualiseras i realtid för applikationer som använder allokeringstekniken minnes\-pool. I avhandlingen beskrivs tekniska och grafiska utmaningar tillsammans med deras lösningar och de designval som gjordes. Slutresultatet är ett program som kan visualisera dynamisk minneshantering i realtid och som fokuserar på att visa en detaljerad och omfattande minnesöversikt som bevarar detaljeringsgraden över tiden.
Livros sobre o assunto "Mining pools"
U.S. Fish and Wildlife Service., ed. Tiered environmental assessment and initial study/mitigated negative declaration: Andromous fish restoration program : Tuolumne River riparian zone improvements : gravel mining reach & special run pools 9/10 : restoration and mitigation projects. Sacramento, Calif: U.S. Fish and Game Service, 1998.
Encontre o texto completo da fonteH, Trounson John, ed. East Pool & Agar: A Cornish mining legend. Trewolsta, Trewirgie, Redruth, Cornwall: Dyllansow Truran, 1985.
Encontre o texto completo da fonteSmith, Stefan. Bitcoin Mining Mastery: What Is Bitcoin Mining, How Does Bitcoin Mining Work, What Are Bitcoin Mining Pools and How to Start Bitcoin Mining. Independently Published, 2018.
Encontre o texto completo da fonteAdditional papers on the Nova Scotia gold fields: (including Messrs. Poole and Campbell's reports). [Halifax, N.S.?: s.n., 1992.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Mining pools"
Fisch, Ben, Rafael Pass e Abhi Shelat. "Socially Optimal Mining Pools". In Web and Internet Economics, 205–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71924-5_15.
Texto completo da fonteAustin, Thomas H., Paul Merrill e Justin Rietz. "SharedWealth: Disincentivizing Mining Pools Through Burning and Minting". In Business Information Systems Workshops, 73–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61146-0_6.
Texto completo da fonteLaszka, Aron, Benjamin Johnson e Jens Grossklags. "When Bitcoin Mining Pools Run Dry". In Financial Cryptography and Data Security, 63–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48051-9_5.
Texto completo da fonteHolland, Jordan, R. Joseph Connor, J. Parker Diamond, Jared M. Smith e Max Schuchard. "Not So Predictable Mining Pools: Attacking Solo Mining Pools by Bagging Blocks and Conning Competitors". In Financial Cryptography and Data Security, 272–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58387-6_15.
Texto completo da fonteVelner, Yaron, Jason Teutsch e Loi Luu. "Smart Contracts Make Bitcoin Mining Pools Vulnerable". In Financial Cryptography and Data Security, 298–316. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70278-0_19.
Texto completo da fonteAhmed, Mohiuddin, Jinpeng Wei, Yongge Wang e Ehab Al-Shaer. "A Poisoning Attack Against Cryptocurrency Mining Pools". In Lecture Notes in Computer Science, 140–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00305-0_11.
Texto completo da fonteTulika, Tulika, e Anne Ljungars. "Deep Mining of Complex Antibody Phage Pools". In Methods in Molecular Biology, 419–31. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3381-6_22.
Texto completo da fonteBelotti, Marianna, e Stefano Moretti. "Bankruptcy Solutions as Reward Functions in Mining Pools". In Principles of Blockchain Systems, 175–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01807-7_7.
Texto completo da fonteRoughgarden, Tim, e Clara Shikhelman. "Ignore the Extra Zeroes: Variance-Optimal Mining Pools". In Financial Cryptography and Data Security, 233–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-64331-0_12.
Texto completo da fonteWijaya, Dimaz Ankaa, Joseph K. Liu, Ron Steinfeld e Dongxi Liu. "Transparency or Anonymity Leak: Monero Mining Pools Data Publication". In Information Security and Privacy, 433–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90567-5_22.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Mining pools"
Santos, Saulo dos, Shahin Kamali e Ruppa K. Thulasiram. "Candidate Set Formation Policy for Mining Pools". In 2020 IEEE International Conference on Blockchain (Blockchain). IEEE, 2020. http://dx.doi.org/10.1109/blockchain50366.2020.00060.
Texto completo da fonteTovanich, Natkamon, Nicolas Soulie, Nicolas Heulot e Petra Isenberg. "Interactive Demo: Visualization for Bitcoin Mining Pools Analysis". In 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). IEEE, 2021. http://dx.doi.org/10.1109/icbc51069.2021.9461124.
Texto completo da fontePontiveros, Beltran Borja Fiz, Robert Norvill e Radu State. "Monitoring the transaction selection policy of Bitcoin mining pools". In NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2018. http://dx.doi.org/10.1109/noms.2018.8406328.
Texto completo da fonteSarker, Arijet, Simeon Wuthier e Sang-Yoon Chang. "Anti-Withholding Reward System to Secure Blockchain Mining Pools". In 2019 Crypto Valley Conference on Blockchain Technology (CVCBT). IEEE, 2019. http://dx.doi.org/10.1109/cvcbt.2019.00004.
Texto completo da fonteLiu, Yi, Xiayang Chen, Lei Zhang, Chaojing Tang e Hongyan Kang. "An Intelligent Strategy to Gain Profit for Bitcoin Mining Pools". In 2017 10th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2017. http://dx.doi.org/10.1109/iscid.2017.184.
Texto completo da fonteTuo, Jianyong, Guangyu Qin, Kailun Shang e Youqing Wang. "The Mining Selection in Multi-pools Under Block WithHolding Attack". In 2022 41st Chinese Control Conference (CCC). IEEE, 2022. http://dx.doi.org/10.23919/ccc55666.2022.9901730.
Texto completo da fonteBilgin, Oyku. "Evaluation of hydrogen energy production of mining waste waters and pools". In 2015 4th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2015. http://dx.doi.org/10.1109/icrera.2015.7418475.
Texto completo da fonteLiu, Xiao, Zhao Huang e Quan Wang. "Evolutionary Equilibrium of Mining Pools Under DDoS Attack in Blockchain System". In 2023 International Conference on Networking and Network Applications (NaNA). IEEE, 2023. http://dx.doi.org/10.1109/nana60121.2023.00021.
Texto completo da fonteZolotavkin, Yevhen, e Julian Garcia. "Incentives for Stable Mining in Pay Per Last N Shares Pools". In 2019 IFIP Networking Conference (IFIP Networking). IEEE, 2019. http://dx.doi.org/10.23919/ifipnetworking.2019.8816835.
Texto completo da fonteZolotavkin, Yevhen, e Julian Garcia. "Incentives for stable mining in pay per last N shares pools". In 2019 IFIP Networking Conference (IFIP Networking). IEEE, 2019. http://dx.doi.org/10.23919/ifipnetworking46909.2019.8999390.
Texto completo da fonteRelatórios de organizações sobre o assunto "Mining pools"
Cong, Lin William, Zhiguo He e Jiasun Li. Decentralized Mining in Centralized Pools. Cambridge, MA: National Bureau of Economic Research, fevereiro de 2019. http://dx.doi.org/10.3386/w25592.
Texto completo da fonte