Academic literature on the topic 'Greenplex'

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Journal articles on the topic "Greenplex"

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Oursatyev, Alexey A. "Big Data. Analytical Databases and Data Warehouse: GREENPLUM." Upravlâûŝie sistemy i mašiny, no. 2 (280) (June 2019): 40–69. http://dx.doi.org/10.15407/usim.2019.02.040.

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Shukla, B. D., and S. P. Singh. "Osmo-convective drying of cauliflower, mushroom and greenpea." Journal of Food Engineering 80, no. 2 (May 2007): 741–47. http://dx.doi.org/10.1016/j.jfoodeng.2006.06.025.

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Rédai, I. "EXAMINATION UPON THE EFFICIENCY OF THE IRRIGATION OF GREENPEA." Acta Horticulturae, no. 220 (January 1988): 347–52. http://dx.doi.org/10.17660/actahortic.1988.220.47.

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KAWASHIMA, Nobuyuki. "“Polylactic Acid”: GreenPla Derived from Plant Resources." Kobunshi 50, no. 6 (2001): 390. http://dx.doi.org/10.1295/kobunshi.50.390.

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Miao, Kehua, Jie Li, Wenxing Hong, and Mingtao Chen. "A Microservice-Based Big Data Analysis Platform for Online Educational Applications." Scientific Programming 2020 (June 3, 2020): 1–13. http://dx.doi.org/10.1155/2020/6929750.

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The booming development of data science and big data technology stacks has inspired continuous iterative updates of data science research or working methods. At present, the granularity of the labor division between data science and big data is more refined. Traditional work methods, from work infrastructure environment construction to data modelling and analysis of working methods, will greatly delay work and research efficiency. In this paper, we focus on the purpose of the current friendly collaboration of the data science team to build data science and big data analysis application platform based on microservices architecture for education or nonprofessional research field. In the environment based on microservices that facilitates updating the components of each component, the platform has a personal code experiment environment that integrates JupyterHub based on Spark and HDFS for multiuser use and a visualized modelling tools which follow the modular design of data science engineering based on Greenplum in-database analysis. The entire web service system is developed based on spring boot.
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Ji, Yunhong, Yunpeng Chai, Xuan Zhou, Lipeng Ren, and Yajie Qin. "Smart Intra-query Fault Tolerance for Massive Parallel Processing Databases." Data Science and Engineering 5, no. 1 (December 19, 2019): 65–79. http://dx.doi.org/10.1007/s41019-019-00114-z.

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AbstractIntra-query fault tolerance has increasingly been a concern for online analytical processing, as more and more enterprises migrate data analytical systems from mainframes to commodity computers. Most massive parallel processing (MPP) databases do not support intra-query fault tolerance. They may suffer from prolonged query latency when running on unreliable commodity clusters. While SQL-on-Hadoop systems can utilize the fault tolerance support of low-level frameworks, such as MapReduce and Spark, their cost-effectiveness is not always acceptable. In this paper, we propose a smart intra-query fault tolerance (SIFT) mechanism for MPP databases. SIFT achieves fault tolerance by performing checkpointing, i.e., materializing intermediate results of selected operators. Different from existing approaches, SIFT aims at promoting query success rate within a given time. To achieve its goal, it needs to: (1) minimize query rerunning time after encountering failures and (2) introduce as less checkpointing overhead as possible. To evaluate SIFT in real-world MPP database systems, we implemented it in Greenplum. The experimental results indicate that it can improve success rate of query processing effectively, especially when working with unreliable hardware.
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"Kurabo, Mitsubishi Pencil and Inkmax develop Greenplan textile dyeing." Focus on Pigments 2007, no. 11 (November 2007): 7. http://dx.doi.org/10.1016/s0969-6210(07)70300-4.

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TOMÓCSIK, Attila, Marianna MAKÁDI, Viktória OROSZ, Tibor ARANYOS, Ibolya DEMETER, József MÉSZÁROS, and György FÜLEKY. "EFFECT OF SEWAGE SLUDGE COMPOST TREATMENT ON CROP YIELD." AGROFOR 1, no. 2 (December 12, 2016). http://dx.doi.org/10.7251/agreng1602005t.

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Due to the increasing number of sewage cleaning plants, the amount of sewagesludge also increases. We have to solve the environmentally sound disposal of thesludge. Results of many experiments show that sewage sludge and sewage sludgecompost can be recycled as nutrient suppling material in agriculture. Municipalsewage sludge compost could cause the occurrence and accumulation of toxicelements in the soil. A small-plot experiment with sewage sludge compost wasestablished in the spring of 2003. The applied compost contains 40% sewagesludge, 25% straw, 30% rhyolite, 5% betonite. The small-plot experiment was retreatedin the autumn of 2006, 2009, 2012and 2015. There are 4 treatments in fiveblocks, where the sewage sludge compost was applied at a rate of 0, 9, 18 and 27tha-1 and then ploughed into the soil. Triticale as autumn cereal, maize and greenpea as spring crops were sown in crop rotation every year. Plant samples werecollected before harvesting. In this paper the results of crop yield between 2010-2012 are presented. Crops of triticale and maize were higher in the treated plotsthan in control one in 2010 and 2011. Treatment effect was not observed on greenpea yield.The results show that the effect of applied compost doses depends onplant species and time. Our aim is to maintain this unique long-term experiment forstudying the composted sewage sludge as a nutrient and organic matter source,applying it similarly to the farmyard manure.
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Lemos, André Luiz Martins, Elias Cunha Bitencourt, and João Guilherme Bastos dos Santos. "Fake news as fake politics: the digital materialities of YouTube misinformation videos about Brazilian oil spill catastrophe." Media, Culture & Society, December 4, 2020, 016344372097730. http://dx.doi.org/10.1177/0163443720977301.

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This article investigates misinformation chains – fake news and clickbait – related to the 2019 oil spill along the coast of Northeast Brazil. A link between the intensive use of misinformation on YouTube and the environmental impact of digital media and algorithmic performativity has been found by analyzing videos about the 2019 Brazilian oil spill. A total of 591 YouTube videos were extracted based on a search for the hashtags ‘oleononordeste’, ‘vazamentopetroleo’, and ‘greenpixe’. The data thus obtained suggest that most of the corpus (80.37%) consists of misinformation, of which 65.82% (389 videos) is clickbait and 14.55% (86 videos) fake news. YouTube misinformation videos produced around 1.42 MtCO2e, the equivalent of burning 3.30 barrels of oil. We argue that misinformation chains increase pollution and carbon footprint as a result of at least three factors: (a) the extra energy cost of feeding algorithms; (b) increased algorithmic resistance to the visibility of journalistic information; and (c) undermining public debate about environmental catastrophes in favor of private interests (fake politics).
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"Consumer Awareness and Preferences towards Plywood in Chennai City." International Journal of Innovative Technology and Exploring Engineering 9, no. 2S3 (December 30, 2019): 431–35. http://dx.doi.org/10.35940/ijitee.b1106.1292s319.

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The purpose of the study is to find out the awareness and preferences of consumers towards plywood in Chennai city. Descriptive and quantitative research design has been adopted for the study. The primary data has been collected through structured questionnaire with open and closed ended questions. Books, magazines, journals, thesis and websites were referred to collect secondary data. The data was collected by adopting purposive sampling technique from 100 consumers. Analysis namely reliability test, descriptive, chi-square test, bivariate correlation and Kendall's W test were used to identify the relationship between awareness and preferences of consumers towards plywood at Chennai city. The study found that there is a significant relationship between consumer awareness and preferences on plywood. It also found that majority of the consumers prefer to have Krishna Plywood followed by Century Plyboards (India) Ltd., GreenPly Industries Ltd., National Plywood Industries Ltd., Uniply Plywood, etc. Possible suggestions and conclusion were discussed.
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Dissertations / Theses on the topic "Greenplex"

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Christensen, Samuel David. "A Model for Analyzing Heating and Cooling Demand for Atria Between Tall Buildings." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4211.

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The heating and air-conditioning energy demand of skyscrapers with atria between buildings is explored. Radiation, conduction, convection, and ventilation were evaluated to determine annual heating and cooling energy demands for a 100-building city located in Provo, Utah. Spreadsheets models were developed and calibrated with a computational fluid dynamics model. Three spreadsheet model cases were examined: a baseline no-atrium case, a conditioned atrium case, and an unconditioned atrium case. The energy demands and atrium temperatures were compared between the different cases. The research concludes that atria can be used between buildings to reduce the heating and cooling energy demands. The exposed surface area of the city was reduced by 73.7%. This resulted in a 49.7% reduction in heating and cooling energy consumption for the unconditioned atrium case and a 16.0% reduction in energy consumption for the conditioned atrium case.
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Mecham, Bradley R. "Modeling and Optimization of Space Use and Transportation for a 3D Walkable City." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3693.

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This thesis presents an investigation of a new three-dimensional urban form where walking distances are less than a half-mile and congestion is minimal. The car-free urban form investigated herein is a city composed of skyscrapers massively interconnected with skybridges at multiple levels. The investigation consists of optimizing space use arrangement, skybridge presence or absence, and elevator number to simultaneously minimize total travel time, skybridge light blockage, and elevator energy usage in the city. These objectives are evaluated using three objective functions, the most significant of which involves a three-dimensional, pedestrian-only, three-step version of the traditional four-step planning model. Optimal and diverse designs are discovered with a genetic algorithm that generates always-feasible designs and uses the maximum fitness function. The space use arrangements and travel times of four extreme designs are analyzed and discussed, and the overall results of the investigation are presented. Conclusions suggest that skybridges are beneficial in reducing travel time and that travel times are shorter in cities wherein space use is mixed vertically as well as horizontally.
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Book chapters on the topic "Greenplex"

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Waas, Florian M. "Beyond Conventional Data Warehousing — Massively Parallel Data Processing with Greenplum Database." In Business Intelligence for the Real-Time Enterprise, 89–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03422-0_7.

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Conference papers on the topic "Greenplex"

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Lyu, Zhenghua, Huan Hubert Zhang, Gang Xiong, Gang Guo, Haozhou Wang, Jinbao Chen, Asim Praveen, et al. "Greenplum." In SIGMOD/PODS '21: International Conference on Management of Data. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448016.3457562.

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Patel, Jemish, Goutam Tadi, Oz Basarir, Lawrence Hamel, David Sharp, Fei Yang, and Xin Zhang. "Pivotal Greenplum© for Kubernetes." In SIGMOD/PODS '19: International Conference on Management of Data. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3299869.3320229.

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Caragea, G. C., C. Garcia-Alvarado, M. Petropoulos, and F. M. Waas. "Total operator state recall — Cost-effective reuse of results in Greenplum Database." In 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW 2013). IEEE, 2013. http://dx.doi.org/10.1109/icdew.2013.6547425.

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Zou, Chengming, Fanchao Zhao, Yi Xie, Haiying Zhou, and Jun Qin. "Live migration in Greenplum database based on SDN via improved gray wolf optimization algorithm." In RACS '19: International Conference on Research in Adaptive and Convergent Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3338840.3355640.

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