Constructing Nonlinear Discriminants from Multiple Data Views

2010 ◽  
pp. 328-343 ◽  
Author(s):  
Tom Diethe ◽  
David Roi Hardoon ◽  
John Shawe-Taylor
Keyword(s):  
Multiple Data

Spatial and temporal dynamics of Pacific capelin Mallotus catervarius in the Gulf of Alaska: implications for ecosystem-based fisheries management

2020 ◽  
Vol 637 ◽  
pp. 117-140 ◽  
Author(s):  
DW McGowan ◽  
ED Goldstein ◽  
ML Arimitsu ◽  
AL Deary ◽  
O Ormseth ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Marine Ecosystem ◽  
Gulf Of Alaska ◽  
Data Series ◽  
Limited Information ◽  
Important Species ◽  
Multiple Data ◽  
Spatial And Temporal Dynamics ◽  
Spawning Areas ◽  
Spatio Temporal

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.

Maintenance of a Genetic Data Set on Multiple Data Base and Statistical Analysis Systems

1982 ◽  
Vol 61 (s109) ◽  
pp. 34-34
Author(s):  
Samuel J. Agronow ◽  
Federico C. Mariona ◽  
Frederick C. Koppitch ◽  
Kazutoshi Mayeda
Keyword(s):  
Statistical Analysis ◽  
Data Base ◽  
Genetic Data ◽  
Data Set ◽  
Multiple Data

Этапы внедрения производственной электронной модели системы водоснабжения и водоотведения

2020 ◽  
Author(s):  
E. Rozhnov ◽  
E. Siksina
Keyword(s):  
Water Supply ◽  
Water Distribution ◽  
Product Line ◽  
Graphic System ◽  
Wastewater Disposal ◽  
Multiple Data ◽  
Performance Specifications ◽  
Data Processing Center ◽  
Operational Program ◽  
Rational Operation

С целью упорядочения и анализа информации о системе распределения воды и стоков г. Новокузнецка и исключения многократного дублирования данных в разных информационных средах было принято решение о внедрении разработки компании ИВЦ Поток Информационно-графической системы ГидроГраф из линейки продуктов под торговой маркой CityComТМ. В настоящее время система ГидроГраф активно используется многими подразделениями ООО Водоканал . Планирование производственной программы на сегодняшний день уже невозможно без системы ГидроГраф . С ее помощью осуществляется выдача технических заданий, подготовка отключений, составление планов производства работ, заключение договоров с новыми абонентами, оптимизация системы водоснабжения и водоотведения. Появление полноценной, выверенной и постоянно актуализируемой базы данных позволило оперативно и в удобной форме решать множество задач. При этом обеспечивается повышение эффективности и точности планирования ремонтов, сокращение издержек и в целом рациональная эксплуатация системы водоснабжения и водоотведения г. Новокузнецка.To provide for sorting and analyzing the data on the water distribution and sewer network system in Novokuznetsk and to avoid multiple data duplication in various IT environments, it was decided to introduce the product of Potok data processing center HydroGraph Information and Graphic System from the product line under CityComTM trademark. Currently, HydroGraph system has been in active use by many divisions of Vodokanal, LLC. Planning an operational program today is no longer possible without HydroGraph system. The system provides for issuing the performance specifications, preparing for shutdowns, compiling work execution plans, signing contracts with new customers, and upgrading the water supply and wastewater disposal systems. The development of a meaningful, verified and continuously updated database made it possible to quickly and conveniently solve many problems. Therein it ensures improved efficiency and accuracy of repair planning, cost reduction and generally rational operation of the water supply and wastewater disposal system in Novokuznetsk.

A Survey on Privacy-Preserving Outsourced Data on Cloud with Multiple Data Providers

2020 ◽  
Author(s):  
Aman Singh Chauhan ◽  
Dikshika Rani ◽  
Akash Kumar ◽  
Rishabh Gupta ◽  
Ashutosh Kumar Singh
Keyword(s):  
Privacy Preserving ◽  
Multiple Data ◽  
Outsourced Data

Multiple data parameter identification for nonlinear conceptual models

1997 ◽  
Vol 36 (5) ◽  
pp. 61-68 ◽  
Author(s):  
Hermann Eberl ◽  
Amar Khelil ◽  
Peter Wilderer
Keyword(s):  
Optimization Problem ◽  
Conceptual Models ◽  
Reference Data ◽  
Transport Model ◽  
Calibration Method ◽  
Data Sets ◽  
Multiple Data ◽  
Marquardt Algorithm ◽  
Multicriteria Optimization Problem ◽  
Higher Order Differential Equations

A numerical method for the identification of parameters of nonlinear higher order differential equations is presented, which is based on the Levenberg-Marquardt algorithm. The estimation of the parameters can be performed by using several reference data sets simultaneously. This leads to a multicriteria optimization problem, which will be treated by using the Pareto optimality concept. In this paper, the emphasis is put on the presentation of the calibration method. As an example identification of the parameters of a nonlinear hydrological transport model for urban runoff is included, but the method can be applied to other problems as well.

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

Exploring young learners’ L2 development and perceptions of mixed-age and same-age peer interactions in EFL mixed-age classrooms

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Tomas Kos
Keyword(s):  
Foreign Language ◽  
Peer Interactions ◽  
Language Instruction ◽  
Data Sources ◽  
Foreign Language Instruction ◽  
Young Learners ◽  
Multiple Data ◽  
L2 Development ◽  
Post Test ◽  
Mixed Age

Abstract Although foreign language instruction in mixed-age (M-A) is gaining popularity (Heizmann and Ries and Wicki 2015; Lau and Juby-Smith and Desbiens, 2017; Shahid Kazi and Moghal and Aziz 2018; Thurn 2011), the research is scarce. Drawing from multiple data sources, this study investigated to what extent do peer interactions among M-A and same-age (S-A) pairs aid L2 development and how students perceive their interactions. In this study, the same learners (N=24) aged between 10 and 12 interacted with the same and different age partners during common classroom lessons in two EFL classrooms. The results suggest that both S-A and M-A peer interactions aided L2 development. Although S-A pairs outperformed M-A pairs on the post-test, the results are not statistically significant. The analysis of students’ perceptions revealed that the majority of students prefer working in S-A to M-A pairs. In addition to age/proficiency differences, factors such as students’ relationships and perceptions of one’s own and partner’s proficiency greatly impact how they interact with one another.

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