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Статті в журналах з теми "Managed data"
Read, Chris. "Data: Embracing ‘managed ambiguity’." SecEd 2019, no. 15 (October 1, 2019): 30–31. http://dx.doi.org/10.12968/sece.2019.15.30.
Повний текст джерелаDempsey, P. "Managed chaos [data management]." Information Professional 2, no. 5 (October 1, 2005): 22–26. http://dx.doi.org/10.1049/inp:20050503.
Повний текст джерелаBenila S, Benila S., and Usha Bhanu N. Benila S. "Fog Managed Data Model for IoT based Healthcare Systems." 網際網路技術學刊 23, no. 2 (March 2022): 217–26. http://dx.doi.org/10.53106/160792642022032302003.
Повний текст джерелаZhang, Yuan, Yue Liu, and Zhong Tian Jia. "A Sensor Data Management Scheme for Wireless Sensor Networks." Key Engineering Materials 467-469 (February 2011): 709–12. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.709.
Повний текст джерелаLamest, Markus, and Mairead Brady. "Data-focused managerial challenges within the hotel sector." Tourism Review 74, no. 1 (February 4, 2019): 104–15. http://dx.doi.org/10.1108/tr-03-2017-0064.
Повний текст джерелаDeleanides, Jessica, Kevin Gebhardt, Justin Hurd, and Clayton Stanley. "BIG DATA: CAN IT BE MANAGED?" Journal of Information Technology Education: Discussion Cases 5 (2016): 09. http://dx.doi.org/10.28945/3647.
Повний текст джерелаSlosar, J. R. "Trusting Managed Care: Unbiased Data Needed." Health Affairs 16, no. 3 (May 1997): 274–75. http://dx.doi.org/10.1377/hlthaff.16.3.274.
Повний текст джерелаSlosar, J. R. "Trusting Managed Care: Unbiased Data Needed." Health Affairs 16, no. 3 (May 1, 1997): 274–75. http://dx.doi.org/10.1377/hlthaff.16.3.274-a.
Повний текст джерелаCoulibaly, Moussa, Ahmed Errami, Sofia Belkhala, and Hicham Medromi. "A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment." Energies 14, no. 7 (March 25, 2021): 1827. http://dx.doi.org/10.3390/en14071827.
Повний текст джерелаZacharopoulos, Theologos, Pablo Inostroza, and Tijs van der Storm. "Extensible modeling with managed data in Java." ACM SIGPLAN Notices 52, no. 3 (May 12, 2017): 25–35. http://dx.doi.org/10.1145/3093335.2993240.
Повний текст джерелаДисертації з теми "Managed data"
Deb, Debzani. "Achieving self-managed deployment in a distributed environment via utility functions." Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/deb/DebD0508.pdf.
Повний текст джерелаLoudon, Melissa. "Data management and reporting for drinking water quality monitoring in community-managed supplies." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/5031.
Повний текст джерелаWater Service Authorities, which may be district municipalities with hundreds of community-managed supplies under their jurisdiction, are legally responsible for ensuring the quality of water supplied to all consumers. Without the assistance of communities, this requirement, which would involve regular testing in many remote and inaccessible supplies, is extremely difficult to fulfil. Water Service Authorities also struggle to respond timeously to problems in remote supplies, as they are often unaware of the problem for some days. Two-way communication between the Water Service Authority and the Community-based Water Services Provider is therefore essential to an effective monitoring programme. Information and communication technologies, particularly mobile phones on the cellular network, offer potential solution to the challenge of supporting community-managed supplies. Following an investigation into the information needs of various stakeholders in community management, a prototype drinking water quality information system for community-managed supplies was developed.
Yeom, Jae-seung. "Optimizing Data Accesses for Scaling Data-intensive Scientific Applications." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64180.
Повний текст джерелаPh. D.
Johansson, Tobias. "Managed Distributed TensorFlow with YARN : Enabling Large-Scale Machine Learning on Hadoop Clusters." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-248007.
Повний текст джерелаApache Hadoop är den ledande öppen källkod-plattformen för lagringen och processeringen av big data. Med data lagrat i Hadoop-kluster, är det fördelaktigt att kunna köra TensorFlow-applikationer på samma kluster som håller ingående dataset för träning av maskininlärningsmodeller. TensorFlow stödjer distribuerade exekveringar där djupa neurala nätverk kan tränas genom att använda en stor mängd berräkningsnoder. Att konfigurera och starta distribuerade TensorFlowapplikationer manuellt är komplext och opraktiskt och blir värre med fler noder.Detta projekt presenterar ett ramverk som använder Hadoops resurhanterare YARN för att hantera distribuerade TensorFlow-applikationer. Förslaget är en hemmahörande YARN-applikation med en ApplicationMaster (AM) per jobb som använder AM som ett register för upptäckt innan jobbet körs. Att anpassa TensorFlow-kod till ramverket handlar typiskt om några rader kod. I jämförelse med TensorFlowOnSpark är användarupplevelse väldigt likt och insamlad prestandadata indikerar att det finns en fördel med att köra TensorFlow direkt på YARN utan något extra lager däremellan.
Lienhard, Jasper Z. (Jasper Zebulon). "What is measured is managed : statistical analysis of compositional data towards improved materials recovery." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98661.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 35-36).
As materials consumption increases globally, minimizing the end-of-life impact of solid waste has become a critical challenge. Cost-effective methods of quantifying and tracking municipal solid waste contents and disposal processes are necessary to drive and track increases in material recovery and recycling. This work presents an algorithm for estimating the average quantity and composition of municipal waste produced by individual locations. Mass fraction confidence intervals for different types of waste were calculated from data collected by sorting and weighing waste samples from municipal sites. This algorithm recognizes the compositional nature of mass fraction waste data. The algorithm developed in this work also evaluated the value of additional waste samples in refining mass fraction confidence intervals. Additionally, a greenhouse gas emissions model compared carbon dioxide emissions for different disposal methods of waste, in particular landfilling and recycling, based on the waste stream. This allowed for identification of recycling opportunities based on carbon dioxide emission savings from offsetting the need for primary materials extraction. Casework was conduced with this methodology using site-specific waste audit data from industry. The waste streams and carbon dioxide emissions of three categories of municipal waste producers, retail, commercial, and industrial, were compared. Paper and plastic products, whose mass fraction averages ranged from 40% to 52% and 26% to 29%, respectively, dominated the waste streams of these three industries. Average carbon dioxide emissions in each of these three industries ranged from 2.18 kg of CO₂ to 2.5 kg of CO₂ per kilogram of waste thrown away. On average, Americans throw away about 2 kilograms per person per day of solid waste.
by Jasper Z. Lienhard.
S.B.
Nilsson, Maximiliam, and Gusten Hansson. "Are Mutual Fund Managers’ Compensation Reasonable In Relation To Their Contributions? : - A study regarding actively managed mutual funds." Thesis, Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96945.
Повний текст джерелаSalim, Christian. "Data Reduction based energy-efficient approaches for secure priority-based managed wireless video sensor networks." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD052/document.
Повний текст джерелаThe huge amount of data in Wireless Video Sensor Networks (WVSNs) for tiny limited resources sensor nodes increases the energy and bandwidth consumption challenges. Controlling the network is one of the challenges in WMSN due to the huge amount of images sent at the same time from the sensors to the coordinator. In this thesis, to overcome these problems, several contributions have been made. Each contribution concentrates on one or two challenges as follows: In the first contribution, to reduce the energy consumption a new approach for data aggregation in WVSN based on shot similarity functions is proposed. It is deployed on two levels: the video-sensor node level and the coordinator level. At the sensor node level, we propose a frame rate adaptation technique and a similarity function to reduce the number of frames sensed by the sensor nodes and sent to the coordinator. At the coordinator level, after receiving shots from different neighboring sensor nodes, the similarity between these shots is computed to eliminate redundancies. In the second contribution, some processing and analysis are added based on the similarity between frames on the sensor-node level to send only the important frames to the coordinator. Kinematic functions are defined to predict the next step of the intrusion and to schedule the monitoring system accordingly. In the third contribution, on the transmission phase, on the sensor-node level, a new algorithm to extract the differences between two images is proposed. This contribution also takes into account the security challenge by adapting an efficient ciphering algorithm on the sensor node level. In the last contribution, to avoid slower detection of intrusions leading to slower reactions from the coordinator, a mac-layer protocol based on S-MAC protocol has been proposed to control the network. This solution consists in adding a priority bit to the S-MAC protocol to give priority to critical data
Muthuswamy, Sunil. "System implementation of a real-time, content based application router for a managed publish-subscribe system." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Thesis/Summer2008/S_Muthuswamy_080408.pdf.
Повний текст джерелаLuong, Johannes [Verfasser], Wolfgang [Gutachter] Lehner, and Ziawasch [Gutachter] Abedjan. "A Common Programming Interface for Managed Heterogeneous Data Analysis / Johannes Luong ; Gutachter: Wolfgang Lehner, Ziawasch Abedjan." Dresden : Technische Universität Dresden, 2021. http://d-nb.info/1238140599/34.
Повний текст джерелаBoland, Samuel James. "Hydrologic and biogeochemical signatures in intensively managed catchments: data synthesis and development of a passive surfacewater quality sampler." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/1205.
Повний текст джерелаКниги з теми "Managed data"
New York (State). Division of Management Audit and State Financial Services. Department of Health, Medicaid managed care encounter data. [Albany, N.Y: The Division, 2002.
Знайти повний текст джерела1952-, Bernhardt Victoria L., ed. Data analysis for continuous school improvement. 2nd ed. Larchmont, NY: Eye On Education, 2004.
Знайти повний текст джерелаAdministration, United States Health Care Financing. Medicaid-medicare common data initiative: A core data set for states and medicaid managed care plans. [Baltimore, Md.?: Health Care Financing Administration, 1994.
Знайти повний текст джерелаUnited States. Health Care Financing Administration. Medicaid-medicare common data initiative: A core data set for states and medicaid managed care plans. [Baltimore, Md.?: Health Care Financing Administration, 1994.
Знайти повний текст джерелаAdministration, United States Health Care Financing. Medicaid-medicare common data initiative: A core data set for states and medicaid managed care plans. [Baltimore, Md.?: Health Care Financing Administration, 1994.
Знайти повний текст джерелаUnited States. Health Care Financing Administration. Medicaid-medicare common data initiative: A core data set for states and medicaid managed care plans. [Baltimore, Md.?: Health Care Financing Administration, 1994.
Знайти повний текст джерелаUnited States. Health Care Financing Administration. Medicaid-medicare common data initiative: A core data set for states and medicaid managed care plans. [Baltimore, Md.?: Health Care Financing Administration, 1994.
Знайти повний текст джерелаMedicaid-medicare common data initiative: A core data set for states and medicaid managed care plans. [Baltimore, Md.?: Health Care Financing Administration, 1994.
Знайти повний текст джерелаUnited States. Health Care Financing Administration. Medicaid-medicare common data initiative: A core data set for states and medicaid managed care plans. [Baltimore, Md.?: Health Care Financing Administration, 1994.
Знайти повний текст джерелаGreat teaching in the one-computer classroom. 5th ed. Watertown, MA: Tom Snyder Productions, 1998.
Знайти повний текст джерелаЧастини книг з теми "Managed data"
Boele, Thomas. "Beitrag der WAN Acceleration für Data Protection, IT-Konsolidierung und Cloud Computing." In Managed Services, 355–64. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8290-2_16.
Повний текст джерелаEzzio, David. "Enhanced Classes and Managed Fields." In Using and Understanding Java Data Objects, 143–83. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0767-2_5.
Повний текст джерелаRoss, Brandon, Engin Arslan, Bing Zhang, and Tevfik Kosar. "Managed File Transfer as a Cloud Service." In Cloud Computing for Data-Intensive Applications, 379–99. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1905-5_16.
Повний текст джерелаBurine, Lotina, Daniel Polónia, and Adriana Gradim. "How Health Data Are Managed in Mozambique." In Advances in Intelligent Systems and Computing, 385–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72651-5_37.
Повний текст джерелаChalla, Siva, and Artur Laksberg. "Data Marshaling between COM and.NET." In Essential Guide to Managed Extensions for C++, 261–77. Berkeley, CA: Apress, 2002. http://dx.doi.org/10.1007/978-1-4302-0834-1_19.
Повний текст джерелаWeissman, Ben, and Anthony E. Nocentino. "Deploying an Azure Arc-enabled SQL Managed Instance." In Azure Arc-enabled Data Services Revealed, 121–47. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8085-0_7.
Повний текст джерелаWeissman, Ben, and Anthony E. Nocentino. "Deploying an Azure Arc-Enabled SQL Managed Instance." In Azure Arc-Enabled Data Services Revealed, 85–96. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6705-9_5.
Повний текст джерелаMamei, Marco, and Franco Zambonelli. "Self-Maintaining Overlay Data Structures for Pervasive Autonomic Services." In Self-Managed Networks, Systems, and Services, 58–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11767886_5.
Повний текст джерелаWilson, Lucas A. "Using Managed High Performance Computing Systems for High-Throughput Computing." In Conquering Big Data with High Performance Computing, 61–79. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33742-5_4.
Повний текст джерелаAlboaie, Sinică, and Doina Cosovan. "Private Data System Enabling Self-Sovereign Storage Managed by Executable Choreographies." In Distributed Applications and Interoperable Systems, 83–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59665-5_6.
Повний текст джерелаТези доповідей конференцій з теми "Managed data"
Loh, Alex, Tijs van der Storm, and William R. Cook. "Managed data." In the ACM international symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2384592.2384609.
Повний текст джерелаJackson, Adrian, and Par Strand. "MDMP: Managed Data Message Passing." In 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2013. http://dx.doi.org/10.1109/synasc.2013.71.
Повний текст джерелаDeshpande, Umesh, Nick Linck, and Sangeetha Seshadri. "Self managed data protection for containers." In SYSTOR '21: The 14th ACM International Systems and Storage Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3456727.3463833.
Повний текст джерелаWagner, Rick, Philip Papadopoulos, Dmitry Mishin, Trevor Cooper, Mahidhar Tatineti, Gregor von Laszewski, Fugang Wang, and Geoffrey C. Fox. "User Managed Virtual Clusters in Comet." In XSEDE16: Diversity, Big Data, and Science at Scale. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2949550.2949555.
Повний текст джерелаBarczyk, Artur, Azher Mughal, Harvey Newman, Iosif Legrand, Michael Bredel, Ramiro Voicu, Vlad Lapadatescu, and Tony Wildish. "Towards Managed Terabit/s Scientific Data Flows." In 2014 Fourth International Workshop on Network-Aware Data Management (NDM). IEEE, 2014. http://dx.doi.org/10.1109/ndm.2014.8.
Повний текст джерелаRenjish Kumar, K. R. "International mobile data roaming: Managed or unmanaged?" In 2010 9th Conference on Telecommunications Internet and Media Techno-Economics (CTTE). IEEE, 2010. http://dx.doi.org/10.1109/ctte.2010.5557699.
Повний текст джерелаWesolowski, Carl, and Robert J. Madeira. "Quality is Managed by Better Data Utilization." In HT2019. ASM International, 2019. http://dx.doi.org/10.31399/asm.cp.ht2019p0070.
Повний текст джерелаJablin, Thomas B., James A. Jablin, Prakash Prabhu, Feng Liu, and David I. August. "Dynamically managed data for CPU-GPU architectures." In the Tenth International Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2259016.2259038.
Повний текст джерелаZacharopoulos, Theologos, Pablo Inostroza, and Tijs van der Storm. "Extensible modeling with managed data in Java." In GPCE '16: Generative Programming: Concepts and Experiences. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2993236.2993240.
Повний текст джерелаZhao, Liang, Sherif Sakr, Alan Fekete, Hiroshi Wada, and Anna Liu. "Application-Managed Database Replication on Virtualized Cloud Environments." In 2012 IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE, 2012. http://dx.doi.org/10.1109/icdew.2012.77.
Повний текст джерелаЗвіти організацій з теми "Managed data"
Gayek, P., and S. Nix. Definitions of Managed Objects for Data Link Switching using SMIv2. Edited by D. Chen. RFC Editor, October 1996. http://dx.doi.org/10.17487/rfc2024.
Повний текст джерелаNix, S., and A. Bartky. Definitions of Managed Objects for SNA Data Link Control (SDLC) using SMIv2. Edited by W. Clark. Chair J. Hilgeman. RFC Editor, January 1995. http://dx.doi.org/10.17487/rfc1747.
Повний текст джерелаSmith, M. L., S. Hostetler, and J. Northey. Managed Aquifer Recharge prospectivity mapping in the Northern Territory arid zone using remotely sensed data. Geoscience Australia, 2020. http://dx.doi.org/10.11636/132540.
Повний текст джерелаLibra, Jesse Madden, and María Alejandra Baquero. FS 1.1: Water access in Latin America and the Caribbean: Definitions and Data. Inter-American Development Bank, October 2022. http://dx.doi.org/10.18235/0004493.
Повний текст джерелаKenny, F., D. Conrod, G. Gallant, B. Smith, S. MacRitchie, and D. Grgic. Near real-time water quantity monitoring data assets collected, managed, analyzed and disseminated by the MNRF and MOECC. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297731.
Повний текст джерелаSoriano, C., R. Rossi, and Q. Ayoul-Guilmard. D8.1 Data Management Plan. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.019.
Повний текст джерелаOliver, Amanda, William Slack, and Alan Katzenmeyer. Occurrence of silver, bighead, and black carp in waters managed by the US Army Corps of Engineers -- geospatial data appendix. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/44984.
Повний текст джерелаAyers, R., G. P. Course, and G. R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package (2) final report WP2A: development and pilot deployment of a prototypic autonomous fisheries data harvesting system, and WP2B: investigation into the availability and adaptability of novel technological approaches to data collection. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23443.
Повний текст джерелаSchoening, Timm. PyQuickMaps. GEOMAR, 2021. http://dx.doi.org/10.3289/sw_4_2021.
Повний текст джерелаJosey, Colin, and Jeremy Conlin. LANL Nuclear Data Manager Format Specification v1.0. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1880470.
Повний текст джерела