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Thematische Bibliographien / Cluster monitoring

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Zeitschriftenartikel

Auswahl der wissenschaftlichen Literatur zum Thema „Cluster monitoring“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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Zeitschriftenartikel zum Thema "Cluster monitoring"

1

Getmanets, O., A. Nekos, and M. Pelikhatyi. "CLUSTER ANALYSIS AND RADIATION MONITORING OF ENVIRONMENT." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 3 (86) (2019): 75–79. http://dx.doi.org/10.17721/1728-2713.86.11.

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Building a background radiation field on the ground on the basis of measurement data taken at a finite number of points is one of the most important tasks of radiation monitoring. The aim of the work: to study the possibility of applying cluster analysis for the tasks of radiation monitoring of the environment. Cluster analysis is a multidimensional statistical analysis. Its main purpose is to split the set of objects under study (observation points) into homogeneous groups or clusters, that is, the task of classifying data and identifying the corresponding structure in them is solved. Methods

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2

Crooks, David, Mark Mitchell, Stuart Purdie, Gareth Roy, Samuel Cadellin Skipsey, and David Britton. "Monitoring in a grid cluster." Journal of Physics: Conference Series 513, no. 6 (2014): 062010. http://dx.doi.org/10.1088/1742-6596/513/6/062010.

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3

Nazarov, Alexey N. "Processing streams in a monitoring cloud cluster." Russian Technological Journal 7, no. 6 (2020): 56–67. http://dx.doi.org/10.32362/2500-316x-2019-7-6-56-67.

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The creation of monitoring clusters based on cloud computing technologies is a promising direction for the development of systems for continuous monitoring of objects for various purposes in the web space. Hadoop web-programming environment is the technological basis for the development of algorithmic and software solutions for the synthesis of monitoring clusters, including information security and information counteraction systems. The International Telecommunication Union’ (ITU) recommendations Y. 3510 present the requirements for cloud infrastructure that require monitoring the performance

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4

Terry, L. Irene, and Gloria DeGrandi-Hoffman. "MONITORING WESTERN FLOWER THRIPS (THYSANOPTERA: THRIPIDAE) IN “GRANNY SMITH” APPLE BLOSSOM CLUSTERS." Canadian Entomologist 120, no. 11 (1988): 1003–16. http://dx.doi.org/10.4039/ent1201003-11.

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AbstractThe efficiency and accuracy of sampling western flower thrips (Frankliniella occidentalis [Pergande]) from “Granny Smith” apple blossom clusters were analyzed during 1986–1987 to develop a sampling plan for research purposes. The accuracy of the “shake” method was compared with an “extraction” process of each of three blossom cluster types: pink, open, and petalless (petal fall). Thrip extractions from combined clusters revealed that a 9-s and 6-s “shake” removed 84 and 74%, of the thrips, respectively, but a 3-s “shake” removed 53%, and was more variable. Open blossom clusters always

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5

Borisov, Vadim, Maksim Dli, Artem Vasiliev, Yaroslav Fedulov, Elena Kirillova, and Nikolay Kulyasov. "Energy System Monitoring Based on Fuzzy Cognitive Modeling and Dynamic Clustering." Energies 14, no. 18 (2021): 5848. http://dx.doi.org/10.3390/en14185848.

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A feature of energy systems (ESs) is the diversity of objects, as well as the variety and manifold of the interconnections between them. A method for monitoring ESs clusters is proposed based on the combined use of a fuzzy cognitive approach and dynamic clustering. A fuzzy cognitive approach allows one to represent the interdependencies between ESs objects in the form of fuzzy impact relations, the analysis results of which are used to substantiate indicators for fuzzy clustering of ESs objects and to analyze the stability of clusters and ESs. Dynamic clustering methods are used to monitor the

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6

Marino, Stefano, and Arturo Alvino. "Vegetation Indices Data Clustering for Dynamic Monitoring and Classification of Wheat Yield Crop Traits." Remote Sensing 13, no. 4 (2021): 541. http://dx.doi.org/10.3390/rs13040541.

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Monitoring the spatial and temporal variability of yield crop traits using remote sensing techniques is the basis for the correct adoption of precision farming. Vegetation index images are mainly associated with yield and yield-related physiological traits, although quick and sound strategies for the classification of the areas with plants with homogeneous agronomic crop traits are still to be explored. A classification technique based on remote sensing spectral information analysis was performed to discriminate between wheat cultivars. The study analyzes the ability of the cluster method appl

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7

ВЫЖИТОВИЧ, Александр, Aleksandr VYZHITOVICH, Олег ЛЯМЗИН, and Oleg LYAMZIN. "MODELING THE MONITORING SERVICE FUNCTION IN A MEMBER ORGANIZATION OF A CLUSTER STRUCTURE." Services in Russia and abroad 11, no. 4 (2017): 44–54. http://dx.doi.org/10.22412/1995-042x-11-4-4.

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The article is devoted to the issues of improving the enterprise monitoring services in the context of its inclusion in the cluster structure. One of the most promising areas for increasing the activity of territories is the functioning of clusters in various sectors of the economy. Against the backdrop of the activity on their creation and state support, the issue of the significance of the control service regarding the work of enterprises as participants in clusters, in the economic literature is insufficiently disclosed. The problem of organizing an adequate internal control at the enterpri

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8

Markov, L. S., V. B. Kurmashev, and A. F. Buruk. "Peculiarities of Regional Cluster Policy Monitoring." World of Economics and Management 18, no. 3 (2018): 91–103. http://dx.doi.org/10.25205/2542-0429-2018-18-3-91-103.

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9

Fang, Kun, Chengyin Liu, and Jun Teng. "Cluster-based optimal wireless sensor deployment for structural health monitoring." Structural Health Monitoring 17, no. 2 (2017): 266–78. http://dx.doi.org/10.1177/1475921717689967.

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A well-designed wireless sensor deployment method not only directly influences the number of deployed sensors and data accuracy, but also influences on network topology. As most of the energy cost comes from the transmission and receiving of data packets, clustering optimization in wireless sensor network becomes an important issue for energy-efficient coordination among the densely deployed nodes for data communication. In a typical hierarchical wireless sensor network, total intra-cluster communication distance and total distance of cluster heads to base station depend on number of cluster h

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10

Trachenko, M. B., and O. D. Gaisha. "Evaluation of the Effectiveness of Financing Industrial Clusters." Russian Economic Journal, no. 5 (November 2019): 36–47. http://dx.doi.org/10.33983/0130-9757-2019-5-36-47.

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The article is solving an actual problem — development of a system of indicators to evaluate the effectiveness of financing industrial clusters in Russia. The article analyzes the cluster models of Russian and foreign authors, identifies their strengths and weaknesses. A universal information model of the cluster was developed, reflecting the interaction of the participants among themselves and with external stakeholders of the cluster development. The developed model has three control loops: internal cluster stakeholders, cluster, cluster's region. Each has the specificity of the movement of

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