Classification of multi-stage voltage sags and calculation of phase angle jump based on Clarke components ellipse

2022 ◽  
Vol 205 ◽  
pp. 107725
Author(s):  
Mohammad Bahrami Mohtasham ◽  
Alireza Jalilian
Keyword(s):  
Phase Angle ◽  
Voltage Sags ◽  
Multi Stage

scholarly journals Classification of Platinum Nanoparticle Catalysts using Machine Learning

2020 ◽  
Author(s):  
Amanda J. Parker ◽  
George Opletal ◽  
Amanda Barnard
Keyword(s):  
Machine Learning ◽  
Hydrogen Oxidation ◽  
Pt Nanoparticles ◽  
Structure Property ◽  
Metallic Nanoparticle ◽  
Platinum Nanoparticle ◽  
Nanoparticle Catalysts ◽  
Structure Property Relationships ◽  
Multi Stage

Computer simulations and machine learning provide complementary ways of identifying structure/property relationships that are typically targeting toward predicting the ideal singular structure to maximise the performance on a given application. This can be inconsistent with experimental observations that measure the collective properties of entire samples of structures that contain distributions or mixture of structures, even when synthesized and processed with care. Metallic nanoparticle catalysts are an important example. In this study we have used a multi-stage machine learning workflow to identify the correct structure/property relationships of Pt nanoparticles relevant to oxygen reduction (ORR), hydrogen oxidation (HOR) and hydrogen evolution (HER) reactions. By including classification prior to regression we identified two distinct classes of nanoparticles, and subsequently generate the class-specific models based on experimentally relevant criteria that are consistent with observations. These multi-structure/multi-property relationships, predicting properties averaged over a large sample of structures, provide a more accessible way to transfer data-driven predictions into the lab.

A Multi-Stage Framework for Classification of Unconstrained Image Data From Mobile Phones

2018 ◽  
pp. 2387-2401
Author(s):  
Shashank Mujumdar ◽  
Dror Porat ◽  
Nithya Rajamani ◽  
L.V. Subramaniam
Keyword(s):  
Image Classification ◽  
Mobile Phones ◽  
Real World ◽  
Image Data ◽  
Complex Environments ◽  
Second Stage ◽  
Classification Framework ◽  
Multi Stage ◽  
Efficient Detection

During the past decade, the number of mobile electronic devices equipped with cameras has increased dramatically and so has the number of real-world applications for image classification. In many of these applications, the image data is captured in an uncontrolled manner and in complex environments and conditions under which existing image classification techniques may not perform well. In this paper, the authors provide a detailed description of an efficient multi-stage image classification framework that is robust enough to remain effective also under challenging imaging conditions, and demonstrate its effectiveness in the context of classification of real-world images of dumpsters captured by mobile phones in the metropolitan city of Hyderabad. Their system is able to achieve accurate classification of the cleanliness state of the dumpsters by utilizing a multi-stage approach, where the first stage is the efficient detection of the dumpster and the second stage is the classification of its state. The authors provide a detailed analysis of the performance of the system as well as comprehensive experimental results on real-world image data.

Requalifikation in der Lieferkette der Serienproduktion

2017 ◽  
Vol 58 (4) ◽  
pp. 20-25
Author(s):  
Carl-Gustaf Kligge ◽  
Lena Böck
Keyword(s):  
Quality Assurance ◽  
Supply Chain ◽  
Quality Standards ◽  
Cost And Benefit ◽  
Intermediate Products ◽  
Multi Stage ◽  
Required Quality

In diesem Beitrag geht es um ein Klassifizierungsmodell für Maßnahmen, die der Sicherstellung des in der Serienproduktion erreichten Qualitätsstandards dienen. Der Fokus richtet sich dabei nicht auf die eigenen Prozesse, sondern auf die Vorproduktion in der mehrstufigen Lieferkette. Bei qualitätssichernden Maßnahmen für Vorprodukte von technischen Serienprodukten erscheint es im Hinblick auf die Vielfalt und Heterogenität der Zulieferer unabdingbar, eine Priorisierung der Maßnahmen nach Aufwand/Nutzen-Aspekten vorzunehmen, ansonsten würde die Umsetzung an der Komplexität sowie an der mangelnden internen und externen Akzeptanz scheitern. So soll hier ein praxiserprobter Ansatz vorgestellt werden, wie die im Einzelnen festzulegenden Maßnahmen nach Aufwand/Nutzen-Kriterien systematisch kategorisiert werden können. Dabei sollen hier nur Anregungen gegeben werden, denn ein konkretes Konzept und detaillierte Maßnahmen sind branchenspezifisch und unternehmensindividuell auszuarbeiten. This article demonstrates an approach for the classification of measures that shall ensure the required quality standards in the multi-stage supply chain. In the case of quality-assurance of intermediate products of series-produced goods, it appears to be indispensable to prioritize the measures according to their cost and benefit aspects, given the multitude and heterogeneity of the suppliers. Keywords: qualitätssicherung, qualitätsniveau, maßnahmenpriorisierung, implementierungsaufwand, automatisierungsgrad

Familial clustering of Amelogenesis Imperfecta – a case study

2018 ◽  
Vol 14 (1) ◽  
pp. 61-72
Author(s):  
Agnieszka Kornet ◽  
Michał Kornet ◽  
Roksana Domańska ◽  
Konrad Perkowski ◽  
Magdalena Marczyńska-Stolarek ◽  
...  
Keyword(s):  
Open Bite ◽  
Amelogenesis Imperfecta ◽  
Multi Stage ◽  
Familial Clustering ◽  
Proper Functions ◽  
Medical University ◽  
Tooth Buds

Amelogenesis Imperfecta (henceforth: AI) is a term used to determine congenital qualitative and quantitative enamel defects, concerning both deciduous and permanent dentition. Classification of AI is based on the phenotype of lesions and is included in numerous types of classifications, among which the Witkop classification is the most popular. Apart from enamel abnormalities, patients afflicted with AI may also have other disorders, e.g. congenital deficiencies of tooth buds, pulp calcification, root and crown resorption, open bite. Aesthetic defects of dentition, pain reported when consuming acidic and hot foods, difficulties in obtaining satisfactory hygiene - all these significantly affect the quality of life of patients with AI. Care provided to these patients is highly specialised and starts as early as in early childhood. Aim. The aim of the study was to describe familial clustering, types, symptoms and treatment of Amelogenesis Imperfecta in members of two families treated at the Department of Orthodontics at the Medical University of Warsaw. Material and methods. The material comprised two unrelated families with clinically manifested symptoms of AI, treated at the Department of Orthodontics at the Medical University of Warsaw. A detailed interview, clinical examination and analysis of radiological documentation were conducted in each family. Results. All patients in the study were suffering from hypoplastic AI, their hygiene was satisfactory, four in five patients had an open bite. Reported symptoms did not differ from those most commonly described in the literature, and included discomfort while eating acidic and hot food, and excessive enamel abrasion. Conclusions. Treatment of patients with AI is multi-stage, multidisciplinary, and aims to restore proper functions of the dentition, as well as to obtain a correct occlusion, skeletal relationships, and to reduce hypersensitivity to thermal and chemical stimuli. Preventive measures are important, and should be introduced early, during the stage of the deciduous dentition, and be related to hygiene briefing and monitoring. (Kornet A, Kornet M, Domańska R, Perkowski K, Marczyńska-Stolarek M, Zadurska M. Familial clustering of Amelogenesis Imperfecta – a case study. Orthod Forum 2018; 14: 61-72)

scholarly journals WORLD PRACTICE OF ORGANIZING CORPORATE STARTUP STUDIOS

2020 ◽  
pp. 83-92
Author(s):  
A.N. Popov ◽  
Keyword(s):  
Business Processes ◽  
Resource Base ◽  
Goods And Services ◽  
Corporate Innovation ◽  
Multi Stage ◽  
Methods Of Synthesis ◽  
The Usa ◽  
The Difference ◽  
Effective Models

The relevance of this study is determined by the need to find effective models for the development of corporate innovations due to the low level of digitalization of Russian business, the negative dynamics of the share of innovative goods and services in the total volume of goods / services sold. Also, the need to introduce new forms of open innovation is confirmed by the presence of such negatively influencing factors as multi-stage corporate business processes and the difference between corporate and startup cultures. The purpose of this study is to identify the advantages and limitations of the corporate startup studio model as a new form of corporate innovation. The author’s classification of the types of corporate startup studios, as well as the identification of the advantages and potential limitations of this model, constitutes the scientific novelty of this review. As the methodological base of the study, methods based on a systematic approach were used, methods of synthesis, induction and classification techniques were applied. Based on the study of the organization and activities of 15 corporate start-up studios from Belgium, the Netherlands, Germany, France, Norway, Denmark, the USA, Mexico and Russia, a classification of organizational forms of corporate startup studios was formed depending on the structure of ownership of capital and the features of each were revealed. Further in the work, the resource base necessary for the creation and development of innovative projects within corporate startup studios was analyzed. Based on the above review, analysis and classification of the practices of organizing and operating foreign corporate startup studios, the author identifies and justifies the advantages and limitations of this model of corporate innovation development. The results of this study can be used as a guide when introducing new models of corporate innovation. Further research in this area may be directed to the development of applied models of business processes for corporate startup studios adapted to Russian business realities.

scholarly journals Analysis Strategy Based on Wavelet Decomposition for Classification of Voltage Sags

2004 ◽  
Vol 1 (02) ◽  
pp. 161-167
Author(s):  
J. Xargayó ◽  
◽  
J. Meléndez ◽  
J. Colomer
Keyword(s):  
Wavelet Decomposition ◽  
Voltage Sags ◽  
Analysis Strategy
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