Auswahl der wissenschaftlichen Literatur zum Thema „Mining pools“
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Zeitschriftenartikel zum Thema "Mining pools"
Fujita, Kentaro, Yuanyu Zhang, Masahiro Sasabe und Shoji Kasahara. „Mining Pool Selection under Block WithHolding Attack“. Applied Sciences 11, Nr. 4 (10.02.2021): 1617. http://dx.doi.org/10.3390/app11041617.
Der volle Inhalt der QuelleLiu, Xiao, Zhao Huang, Quan Wang, Yin Chen und Yuan Cao. „A Repeated Game-Based Distributed Denial of Service Attacks Mitigation Method for Mining Pools“. Electronics 13, Nr. 2 (18.01.2024): 398. http://dx.doi.org/10.3390/electronics13020398.
Der volle Inhalt der QuelleZhang, Yang, Yourong Chen, Kelei Miao, Tiaojuan Ren, Changchun Yang und Meng Han. „A Novel Data-Driven Evaluation Framework for Fork after Withholding Attack in Blockchain Systems“. Sensors 22, Nr. 23 (24.11.2022): 9125. http://dx.doi.org/10.3390/s22239125.
Der volle Inhalt der QuelleKusin, Faradiella Mohd, Mohd Syakirin Md Zahar, Siti Nurjaliah Muhammad, Zafira Md Zin und Sharifah Mohd Sharif. „Assessing the potential use of abandoned mining pools as an alternative resource of raw water supply“. Water Supply 16, Nr. 2 (05.10.2015): 410–17. http://dx.doi.org/10.2166/ws.2015.150.
Der volle Inhalt der QuelleRen, Min, Hongfeng Guo und Zhihao Wang. „Mitigation of block withholding attack based on zero-determinant strategy“. PeerJ Computer Science 8 (21.07.2022): e997. http://dx.doi.org/10.7717/peerj-cs.997.
Der volle Inhalt der QuelleLiu, Xiao, Zhao Huang, Quan Wang und Bo Wan. „An Evolutionary Game Theory-Based Method to Mitigate Block Withholding Attack in Blockchain System“. Electronics 12, Nr. 13 (25.06.2023): 2808. http://dx.doi.org/10.3390/electronics12132808.
Der volle Inhalt der QuelleAlkalay-Houlihan, Colleen, und Nisarg Shah. „The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining“. Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 1724–31. http://dx.doi.org/10.1609/aaai.v33i01.33011724.
Der volle Inhalt der QuelleÇulha, Davut. „Maximizing proof-of-work decentralization“. Ingenieria Solidaria 20, Nr. 1 (20.12.2023): 1–16. http://dx.doi.org/10.16925/2357-6014.2024.01.04.
Der volle Inhalt der QuelleToroghi Haghighat, Alireza, und Mehdi Shajari. „Block withholding game among bitcoin mining pools“. Future Generation Computer Systems 97 (August 2019): 482–91. http://dx.doi.org/10.1016/j.future.2019.03.002.
Der volle Inhalt der QuelleGowan, Samuel W., und Steven M. Trader. „Mine failure associated with a pressurized brine horizon; Retsof salt mine, western New York“. Environmental and Engineering Geoscience 6, Nr. 1 (01.02.2000): 57–70. http://dx.doi.org/10.2113/gseegeosci.6.1.57.
Der volle Inhalt der QuelleDissertationen zum Thema "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/.
Der volle Inhalt der QuelleTovanich, Natkamon. „Visual Analytics for Monitoring and Exploration of Bitcoin Blockchain Data“. Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG010.
Der volle Inhalt der QuelleBitcoin 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.
Der volle Inhalt der QuelleChehade, Imad. „Essais sur l'économie des technologies blockchain et des crypto-monnaies“. Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR057.
Der volle Inhalt der QuelleThis 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/.
Der volle Inhalt der QuelleSchafer, 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.
Der volle Inhalt der QuelleMoore, 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.
Der volle Inhalt der QuelleKelečéni, 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.
Der volle Inhalt der QuelleKalia, 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.
Der volle Inhalt der QuelleGenetics 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.
Der volle Inhalt der QuelleOptimerad 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.
Bücher zum Thema "Mining pools"
U.S. Fish and Wildlife Service., Hrsg. 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.
Den vollen Inhalt der Quelle findenH, Trounson John, Hrsg. East Pool & Agar: A Cornish mining legend. Trewolsta, Trewirgie, Redruth, Cornwall: Dyllansow Truran, 1985.
Den vollen Inhalt der Quelle findenSmith, 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.
Den vollen Inhalt der Quelle findenAdditional papers on the Nova Scotia gold fields: (including Messrs. Poole and Campbell's reports). [Halifax, N.S.?: s.n., 1992.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Mining pools"
Fisch, Ben, Rafael Pass und 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.
Der volle Inhalt der QuelleAustin, Thomas H., Paul Merrill und 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.
Der volle Inhalt der QuelleLaszka, Aron, Benjamin Johnson und 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.
Der volle Inhalt der QuelleHolland, Jordan, R. Joseph Connor, J. Parker Diamond, Jared M. Smith und 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.
Der volle Inhalt der QuelleVelner, Yaron, Jason Teutsch und 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.
Der volle Inhalt der QuelleAhmed, Mohiuddin, Jinpeng Wei, Yongge Wang und 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.
Der volle Inhalt der QuelleTulika, Tulika, und 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.
Der volle Inhalt der QuelleBelotti, Marianna, und 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.
Der volle Inhalt der QuelleRoughgarden, Tim, und 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.
Der volle Inhalt der QuelleWijaya, Dimaz Ankaa, Joseph K. Liu, Ron Steinfeld und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Mining pools"
Santos, Saulo dos, Shahin Kamali und 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.
Der volle Inhalt der QuelleTovanich, Natkamon, Nicolas Soulie, Nicolas Heulot und 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.
Der volle Inhalt der QuellePontiveros, Beltran Borja Fiz, Robert Norvill und 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.
Der volle Inhalt der QuelleSarker, Arijet, Simeon Wuthier und 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.
Der volle Inhalt der QuelleLiu, Yi, Xiayang Chen, Lei Zhang, Chaojing Tang und 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.
Der volle Inhalt der QuelleTuo, Jianyong, Guangyu Qin, Kailun Shang und 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.
Der volle Inhalt der QuelleBilgin, 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.
Der volle Inhalt der QuelleLiu, Xiao, Zhao Huang und 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.
Der volle Inhalt der QuelleZolotavkin, Yevhen, und 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.
Der volle Inhalt der QuelleZolotavkin, Yevhen, und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Mining pools"
Cong, Lin William, Zhiguo He und Jiasun Li. Decentralized Mining in Centralized Pools. Cambridge, MA: National Bureau of Economic Research, Februar 2019. http://dx.doi.org/10.3386/w25592.
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