Identification and classification of cross-country faults in transformers using K-NN and tree-based classifiers

2022 ◽  
Vol 204 ◽  
pp. 107690
Author(s):  
N. Shahbazi ◽  
S. Bagheri ◽  
G.B. Gharehpetian
Keyword(s):  
Cross Country

scholarly journals Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data

Sensors ◽  
2017 ◽  
Vol 18 (2) ◽  
pp. 75 ◽  
Author(s):  
Ole Rindal ◽  
Trine Seeberg ◽  
Johannes Tjønnås ◽  
Pål Haugnes ◽  
Øyvind Sandbakk
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Automatic Classification ◽  
Sensor Data ◽  
Machine Learning Algorithm ◽  
Micro Sensor ◽  
Cross Country Skiing ◽  
Cross Country ◽  
Classical Cross

scholarly journals Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks

2020 ◽  
Author(s):  
Daniele Proverbio ◽  
Françoise Kemp ◽  
Stefano Magni ◽  
Andreas Husch ◽  
Atte Aalto ◽  
...  
Keyword(s):  
Decision Makers ◽  
Contact Tracing ◽  
Online Tool ◽  
Seir Model ◽  
Social Distancing ◽  
Quantitative Understanding ◽  
Cross Country ◽  
Pharmaceutical Interventions

AbstractAgainst the current COVID-19 pandemic, governments worldwide have devised a variety of non-pharmaceutical interventions to suppress it, but the efficacy of distinct measures is not yet well quantified. In this paper, we propose a novel tool to achieve this quantification. In fact, this paper develops a new extended epidemic SEIR model, informed by a socio-political classification of different interventions, to assess the value of several suppression approaches. First, we inquire the conceptual effect of suppression parameters on the infection curve. Then, we illustrate the potential of our model on data from a number of countries, to perform cross-country comparisons. This gives information on the best synergies of interventions to control epidemic outbreaks while minimising impact on socio-economic needs. For instance, our results suggest that, while rapid and strong lock-down is an effective pandemic suppression measure, a combination of social distancing and contact tracing can achieve similar suppression synergistically. This quantitative understanding will support the establishment of mid- and long-term interventions, to prepare containment strategies against further outbreaks. This paper also provides an online tool that allows researchers and decision makers to interactively simulate diverse scenarios with our model.

ON THE ISSUE OF PARTICIPATION IN ROAD TRAFFIC OF SPORTS CROSS-COUNTRY MOTORCYCLES INTENDED FOR USE IN SPECIAL PREPARED TERRITORIES

2021 ◽  
pp. 65-67
Author(s):  
Д.В. Копыл
Keyword(s):  
Road Traffic ◽  
Legal Regulation ◽  
Cross Country

В статье рассматриваются проблемы правового регулирования эксплуатации на дорогах общего пользования кроссовых мотоциклов, являющихся спортивным инвентарем, и классификации административных правонарушений управляющих ими лиц. The article deals with the problems of legal regulation of the operation of cross motorcycles on public roads, which are sports equipment, and the classification of administrative offenses, the persons driving them.

Update on the Standard Template to Collect Data on Government Revenues from Natural Resources

Policy Papers ◽  
2017 ◽  
Vol 17 (28) ◽  
Author(s):  
Keyword(s):  
Natural Resources ◽  
Field Testing ◽  
Policy Formulation ◽  
Mandatory Reporting ◽  
National Accounts ◽  
The Status ◽  
Standard Template ◽  
Cross Country ◽  
The Government

The paper presents an update on the status of the standard template to collect data on government revenues from natural resources, originally presented to the Executive Board in January 2014. The paper discusses: (i) the field-testing of the standard template in six countries, which confirmed the feasibility of applying it more broadly; (ii) the final version of the template based on outcomes of consultation with the international community and the field-testing visits; and (iii) the adoption of the template by the Extractive Industries Transparency Initiative (EITI) International Secretariat as a mandatory reporting requirement for its member countries. The standard template serves as a companion to the Guide to Analyze Natural Resources in the National Accounts. The standard template was developed to support fiscal policy formulation and analysis in resource-rich economies, which constitute about one third of the Fund’s membership. The standard template is based on the revenue classification of the Government Finance Statistics Manual 2014, thereby facilitating the collection of resource revenue data in methodologically sound, analytically relevant, and cross-country comparable format.

scholarly journals Machine Learning for Visual Navigation of Unmanned Ground Vehicles

2012 ◽  
pp. 1090-1107
Author(s):  
Artem A. Lenskiy ◽  
Jong-Soo Lee
Keyword(s):  
Machine Learning ◽  
Visual Information ◽  
Learning Algorithm ◽  
Texture Features ◽  
Visual Navigation ◽  
Machine Learning Algorithms ◽  
Unmanned Ground Vehicles ◽  
Ground Vehicles ◽  
Cross Country

The use of visual information for the navigation of unmanned ground vehicles in a cross-country environment recently received great attention. However, until now, the use of textural information has been somewhat less effective than color or laser range information. This chapter reviews the recent achievements in cross-country scene segmentation and addresses their shortcomings. It then describes a problem related to classification of high dimensional texture features. Finally, it compares three machine learning algorithms aimed at resolving this problem. The experimental results for each machine learning algorithm with the discussion of comparisons are given at the end of the chapter.

scholarly journals Machine Learning for Visual Navigation of Unmanned Ground Vehicles

2011 ◽  
pp. 81-101 ◽  
Author(s):  
Artem A. Lenskiy ◽  
Jong-Soo Lee
Keyword(s):  
Machine Learning ◽  
Visual Information ◽  
Learning Algorithm ◽  
Texture Features ◽  
Visual Navigation ◽  
Machine Learning Algorithms ◽  
Unmanned Ground Vehicles ◽  
Ground Vehicles ◽  
Cross Country

The use of visual information for the navigation of unmanned ground vehicles in a cross-country environment recently received great attention. However, until now, the use of textural information has been somewhat less effective than color or laser range information. This chapter reviews the recent achievements in cross-country scene segmentation and addresses their shortcomings. It then describes a problem related to classification of high dimensional texture features. Finally, it compares three machine learning algorithms aimed at resolving this problem. The experimental results for each machine learning algorithm with the discussion of comparisons are given at the end of the chapter.

Dezentrale versus zentrale Bankensysteme?

2013 ◽  
Vol 57 (1-2) ◽  
Author(s):  
Stefan Gärtner ◽  
Franz Flögel
Keyword(s):  
Market Orientation ◽  
Capital Market ◽  
Financial Integration ◽  
Banking System ◽  
Credit Market ◽  
Financial Systems ◽  
Spatial Organisation ◽  
Banking Systems ◽  
Cross Country

Decentralized versus centralized banking systems? Geographic market orientation and the location of decision-making as characteristics for a classification of banking systems. In the light of global financial integration many authors expect a homogenization of financial systems and thus the well-established classification in bank and capital market-based systems is questioned. We conceptualised an alternative classification in decentralized and centralized banking and apply this classification to the German banking system. Banking groups differ clearly in terms of their spatial distribution of employees, which we use as an approximate indicator for geographic market orientation. It was also observed that decentralized banks increased their share in the credit market at the expense of centralized banks and granted the majority of corporate loans. Compared internationally the German banking system is presumably very decentralized, however more research is needed to assess the state and influence of banking systems’ spatial organisation on a cross country base.

scholarly journals A Classification of Factors Affecting Adults’ Skills Distribution

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110197
Author(s):  
Rosario Scandurra ◽  
Marco Alberio
Keyword(s):  
Political Economy ◽  
Family Background ◽  
Training System ◽  
The Political ◽  
Common Pattern ◽  
Factors Affecting ◽  
Shapley Decomposition ◽  
Cross Country ◽  
And Training

This article explores cross-country patterns in how conditions relating to family background, education, and the labor market are related to literacy and numeracy skills. It seeks to assess whether these patterns are in agreement with models of skills formation as identified in the political economy literature. The novelty of this article resides in a reexamination of the findings in the literature of skills formation and education and training system with new data on adults’ skills. This research uses a two-step approach: first it applies Shapley decomposition variance on adult skills and then each country scores are clustered to search for common pattern and regularities in skills formation. This leads us to single out common regularities among groups of countries in the way skills are structured and distributed. We find three main typologies and different subgroups within them that are compatible with the literature on skills formation models.

scholarly journals Automatic Classification of the Sub-Techniques (Gears) Used in Cross-Country Ski Skating Employing a Mobile Phone

Sensors ◽  
2014 ◽  
Vol 14 (11) ◽  
pp. 20589-20601 ◽  
Author(s):  
Thomas Stöggl ◽  
Anders Holst ◽  
Arndt Jonasson ◽  
Erik Andersson ◽  
Tobias Wunsch ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Automatic Classification ◽  
Cross Country

NON-DEMOCRATIC POLITICAL REGIMES - MAIN VECTORS OF TRANSFORMATION

2021 ◽  
Vol 66 (1) ◽  
pp. 101-106
Author(s):  
ANTON V. GRISHIN ◽  
Keyword(s):  
Political Regime ◽  
Gradual Change ◽  
Political Regimes ◽  
Operational Model ◽  
Main Research ◽  
Research Areas ◽  
Democratic Regimes ◽  
Cross Country

The article proposes an operational model for comparative analysis of non-democratic political regimes. It is based on the holistic methodology, new institutionalism framework and structural-functional approach. The paper systematizes the theories of foreign and Russian authors towards typology and differentiation between certain types of autocracies. There is a tendency to gradual change in the main research areas in the community of transitology scholars - from “democratic optimism” witnessed at the end of the twentieth century to the analysis of the mechanisms of self-preservation of autocracies, which has gained popularity in recent years. The essence of the "political regime" concept is specified with regard to its static and dynamic aspects. Some differences between democratic and non-democratic regimes are considered. The article explores basic typologies of political regimes, enumerates the characteristics of some types of non-democratic political regimes, and proposes relevant operational definitions. Main vectors of transformations of autocracies, such as liberalization or strengthening of authoritarian tendencies, are indicated. Both of them can be considered either as actions taken so as to preserve the authoritarian system or promote democratization. The operational model elaborated in this paper for the classification of non-democratic political regimes and their transformations can be used to conduct cross-country, as well as cross-temporal comparisons within the framework of case study.

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