Search results for "stream"
showing 10 items of 682 documents
Inclusive educational practices as perceived by prospective special education teachers in Estonia, Finland, and the United States.
1997
A survey of 125 prospective special education teachers assessed perceptions and beliefs about inclusive education in Estonia, Finland, and the United States (Michigan). The attitudes toward inclusion were rather critical. The Estonians were the most critical group, the Finns the least critical. The meanings attached to a student with severe mental retardation were related to the educational setting assessed as the best for this student. The findings suggest that special educators perceptions about inclusion are related to the prevailing implementation of inclusive education. The results support also the idea that the meanings attached to a person with a disability are connected with behavio…
The upgraded HADES trigger and data acquisition system
2011
The HADES experiment is a High Acceptance Di-Electron Spectrometer located at GSI in Darmstadt, Germany. Recently, its trigger and data acquisition system was upgraded. The main goal was to substantially increase the event rate capability by a factor of up to 20 to reach 100 kHz in light and 20 kHz in heavy ion reaction systems. The total data rate written to storage is about 400 MByte/s in peak.In this context, the complete read-out system was exchanged to FPGA-based platforms using optical communication. For data transport a general-purpose real-time network protocol was developed to meet the strong requirements of the system. In particular, trigger information has to reach all front-end …
CUDA-Accelerated Alignment of Subsequences in Streamed Time Series Data
2014
Euclidean Distance (ED) and Dynamic Time Warping (DTW) are cornerstones in the field of time series data mining. Many high-level algorithms like kNN-classification, clustering or anomaly detection make excessive use of these distance measures as subroutines. Furthermore, the vast growth of recorded data produced by automated monitoring systems or integrated sensors establishes the need for efficient implementations. In this paper, we introduce linear memory parallelization schemes for the alignment of a given query Q in a stream of time series data S for both ED and DTW using CUDA-enabled accelerators. The ED parallelization features a log-linear calculation scheme in contrast to the naive …
Remote Sensing Image Classification with Large Scale Gaussian Processes
2017
Current remote sensing image classification problems have to deal with an unprecedented amount of heterogeneous and complex data sources. Upcoming missions will soon provide large data streams that will make land cover/use classification difficult. Machine learning classifiers can help at this, and many methods are currently available. A popular kernel classifier is the Gaussian process classifier (GPC), since it approaches the classification problem with a solid probabilistic treatment, thus yielding confidence intervals for the predictions as well as very competitive results to state-of-the-art neural networks and support vector machines. However, its computational cost is prohibitive for…
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
2020
This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML) techniques for problems in Earth observation. Nowadays we observe and model the Earth with a wealth of observations, from a plethora of different sensors, measuring states, fluxes, processes and variables, at unprecedented spatial and temporal resolutions. Earth observation is well equipped with remote sensing systems, mounted on satellites and airborne platforms, but it also involves in-situ observations, numerical models and social media data streams, among other data sources. Data-driven approaches, and ML techniques in particular, are the natural choice to extract significant i…
Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia
2020
Nowadays open data is entering the mainstream - it is free available for every stakeholder and is often used in business decision-making. It is important to be sure data is trustable and error-free as its quality problems can lead to huge losses. The research discusses how (open) data quality could be assessed. It also covers main points which should be considered developing a data quality management solution. One specific approach is applied to several Latvian open data sets. The research provides a step-by-step open data sets analysis guide and summarizes its results. It is also shown there could exist differences in data quality depending on data supplier (centralized and decentralized d…
Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake
2019
International audience; The efficient and effective response to disasters critically depends on humanitarian supply chains (HSCs). HSCs need to be flexible to adapt to uncertainties in needs, infrastructure conditions, and behavior of other organizations. The concept of ‘network flexibility’ is, however, not clearly defined. The lack of an unanimous definition has led to a lack of consistent understanding and comparisons. This paper makes a threefold contribution: first, it defines the concept of network flexibility for HSC in the context of sudden onset disasters. Second, it proposes a framework to measure network flexibility in HSCs. Third, we apply our framework to the 2015 Nepal earthqu…
Misconceptions and Ambiguities in VET: Do We Speak the Same Language?
2021
This chapter reviews some of the most extended notions used in the field of VET. Historical and comparative analysis of education run the risk to use commonplaces without proper understanding of the nuances, difficult to translate but which give different meaning to the same words. In particular, I explain these notions and their meaning and context to show the contrast among countries with different VET traditions. The main challenge is probably to consider current and historical differences between a school-based vocational education system and those where apprenticeships have been the mainstream. Academic work needs to be accurate and avoid quick and careless translation, and even manipu…
Crisis perception in financial media discourse:a concrete application using the Minskian/mainstream opposition
2014
Purpose– The purpose of this article is to highlight the need for renewed collaborative efforts between linguists and economists to develop a multidisciplinary approach to discourse studies to single out, in the case at hand, how financial media discourse might reflect either a prevailing mainstream or a Minskian conceptual apparatus in financial crisis related papers.Design/methodology/approach– The paper conducts exploratory research by focusing on semantic analysis, so as to indicate how the latter might possibly indicate a shift in the prevailing framework in contemporary financial media discourse. After a clear exposition of a theoretical dichotomy between the Minskian and mainstream a…
Financial Determinants of Foreign Direct Investment
2008
We argue that mainstream FDI theory underplays financial motivations for international investment, and suggest several possible channels for a distinct cost-of-capital effect on FDI. Using a sample of European firms' cross-border acquisitions, and controlling for traditional firm-level determinants of FDI, we find strong evidence in favor of a cost-of-equity effect, whereas the effect of debt costs is indeterminate. We further find that financial determinants are more important for firms originating in relatively less financially developed countries and for firms with high knowledge intensity.