Curso a Distancia: Formación profesional para personal de operación y mantenimiento de equipamiento eléctrico de baja, media y alta tensión.

Formación profesional para personal de operación y mantenimiento de equipamiento eléctrico de baja, media y alta tensión.

Curso de Capacitación a Distancia vía Web,
Modalidad Online en Vivo de 9 a 11 hs (hora de Argentina)
14 al 25 de Junio de 2021
.
Inscripción Abierta.
OBJETIVOS
Conocer y analizar aspectos relacionados al equipamiento de baja, media y alta tensión, de Redes y Subestaciones, considerando las condiciones particulares que reviste cada sistema de energía eléctrica.
Los objetivos generales son:
• Conocer las características particulares del equipamiento de BT, MT y AT.
• Como realizar maniobras en forma manual o automática en equipamiento de AT, MT y BT.
• Como operar y mantener equipamiento eléctrico
• Aplicación de las normas de seguridad sobre riesgo eléctrico.

DESTINATARIOS
Ingenieros, técnicos e idóneos involucrados en los procesos de coordinación, supervisión, ejecución y soporte de distintas áreas de la empresa.
El desarrollo didáctico del curso ha sido diseñado para profesionales y especialistas que trabajen en la temática indicada.
 

Temario
Docente
Información General
Formulario de Inscripción
ORGANIZA

12th Int’l Symposium on Image and Signal Processing and Analysis (ISPA 2021) – Submission deadline extended

https://www.isispa.org/
13-15th September 2021, Zagreb, Croatia

*** CALL FOR PAPERS ***

ISPA 2021 is an international symposium that brings together researchers in the area of image and signal processing and analysis, serves as a forum for exchange of new ideas and promotes international research collaboration.

ISPA 2021 will be held in Zagreb, Croatia, on September 13-15, 2021 in a hybrid format so both virtual and physical attendance is possible. Depending on the situation with the Covid-19 pandemic the conference may shift to an online-only format.

Organizer/Venue

University of Zagreb
Faculty of Electrical Engineering and Computing
Croatia, E.U.

Technical Co-Sponsors

EURASIP – European Association for Signal Processing
IEEE Signal Processing Society
IEEE Croatia Section
IEEE Croatia Section Signal Processing Society Chapter

Symposium Topics

A. Image and Video Processing
B. Image and Video Analysis
C. Signal Processing and Analysis
D. Audio and Speech Processing
E. Applications

For a detailed list of symposium topics please visit https://www.isispa.org/call-for-papers

Important Dates

Submission of full papers: June 13, 2021 (extended)
Notification of acceptance/rejection: July 16, 2021
Submission of final papers:  July 29, 2021

Honorary Chair
Sanjit K. Mitra, University of California Santa Barbara, USA

General Chair
Sven Lončarić, University of Zagreb, Croatia

Program Co-Chairs
Tomislav Petković, University of Zagreb, Croatia
Davor Petrinović, University of Zagreb, Croatia

CompLingInfoReasAI’21 / Computational Linguistics, Information, Reasoning, and AI 2021

CALL FOR PAPERS

 

Special Session:

Computational Linguistics, Information, Reasoning, and AI 2021 (CompLingInfoReasAI'21)

Salamanca, Spain, 6th-8th October, 2021, HYBRID 

 

 

** Extended Deadline for paper submissions: 28th May, 2021 **

 

SCOPE:

Computational and technological developments that incorporate natural language and reasoning methods are proliferating. Adequate coverage encounters difficult problems related to partiality, underspecification, agents, and context dependency, which are signature features of information in nature, natural languages, and reasoning.

 

The session covers theoretical work, applications, approaches, and techniques for computational models of information, language (artificial, human, or natural in other ways), reasoning. The goal is to promote computational systems and related models of thought, mental states, reasoning, and other cognitive processes.

 

TOPICS:

We invite contributions relevant to the following topics, without being limited to them, across approaches, methods, theories, implementations, and applications:

 

– Theorem provers and assistants

– Model checkers

– Theory of computation

– Theory of information

– Computational methods of inferences in natural language

– Computational theories and systems of reasoning in natural language

– Transfer of reasoning in natural language to theorem provers, or vice versa

– Transfer of reasoning between natural language, theorem provers, model checkers, and various computational assistants

– Computational approaches of computational linguistics for domain specific areas

– Theories for applications to language, information processing, reasoning

– Type theories for applications to language, information processing, reasoning

– Computational grammar

– Computational syntax

– Computational semantics of natural languages

– Computational syntax-semantics interface

– Interfaces between morphology, lexicon, syntax, semantics, speech, text, pragmatics

– Parsing

– Multilingual processing

– Large-scale grammars of natural languages

– Models of computation and algorithms for linguistics, natural language processing, argumentation

– Computational models of partiality, underspecification, and context-dependency

– Models of situations, contexts, and agents, for applications to computational linguistics

– Information about space and time in language models and processing

==

– Data science in language processing

– Machine learning of language and reasoning

– Interdisciplinary methods

– Integration of formal, computational, model theoretic, graphical, diagrammatic, statistical, and other related methods

– Logic for information extraction or expression in written or spoken language

– Logic for information integrations of diagrams, with written and / or spoken language

==

– Formal models of argumentations

– Interactive computation, reasoning, argumentation

– Computation with heterogeneous information

– Reasoning with heterogeneous and/or inconsistent information

– Dialog, interactions

– Interdisciplinary approaches to language, computation, reasoning, memory

– Argumentation in AI applications, e.g., to business, economy, justice, health, medical sciences

 ==

– Language processing based on biological fundamentals of information and languages

– Computational neuroscience of language

– etc.

 

IMPORTANT DATES

Deadline for paper submissions: 28th May, 2021

Notification of acceptance: 18th June, 2021

Camera-ready papers: 2st July, 2021

Conference: 6th-8th October, 2021

 

PAPER SUBMISSION

 

The papers must consist of original, relevant, and previously unpublished sound research results related to any of the topics of the Special Session CompLingInfoReasAI'21.

 

SUBMITTING PAPERS

DCAI Special Session papers must be formatted according to the Springer AISC Template, with a maximum length of 10 pages in length, including figures and references. All proposed papers must be submitted in electronic form (PDF format) using the Paper Submission Page.

 

PUBLICATION

All accepted, registered, and presented papers will be published by Advances in Intelligent Systems and Computing, AISC, series of Springer Verlag. At least one of the authors of an accepted paper will be required to register and attend the symposium to present the paper in order to include it in the conference proceedings.

 

CHAIRS

 

Ana Bove,

Chalmers University of Technology,

Gothenburg, Sweden

 

Roussanka Loukanova,

Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Bulgaria

and Stockholm University, Sweden

 

Sara Rodríguez,

University of Salamanca, Spain

Call for Papers – ROBOVIS 2021 (Deadline Extension)

2nd International Conference on Robotics, Computer Vision and Intelligent Systems

New Submission Deadline: June 08, 2021

http://www.robovis.org

October 27 – 28, 2021

Online Streaming

Due to many requests, the regular papers submission deadline of this conference has been extended.

Robotics is a field that is closely connected to Computer Vision and Intelligent Systems. Research and development of robots require technologies originating from the other two areas; the research work in Computer Vision has often been driven by needs in Robotics; Intelligent Systems models and software have often been developed aiming at applications in the areas of physical agents, i.e. robots, or in areas  related to scene understanding, video and image processing, and many other aspects of computer vision. There is a need for a venue where these three research communities, often isolated, meet and discuss innovation possibilities driven by the intersection of these highly synergetic fields.

ROBOVIS is organized in 3 major tracks:
1 – Robotics
2 – Computer Vision
3 – Intelligent Systems

Conference Chair(s)
Krzysztof Kozlowski, Poznan University of Technology, Poland

Program Chair(s)
Péter Galambos, Óbuda University, Hungary
Erdal Kayacan, Aarhus University, Denmark

With the presence of internationally distinguished keynote speakers:
Kostas Alexis, Norwegian University of Science and Technology (NTNU), Norway
Roland Siegwart, ETH Zurich, Switzerland

Proceedings will be submitted for indexation by:
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Microsoft Academic
Engineering Index (EI)
Web of Science / Conference Proceedings Citation Index

A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book.

All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library.

Kind regards,
Marina Carvalho
ROBOVIS Secretariat

Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel: +351 265 520 185
Web: http://www.robovis.org
e-mail: robovis.secretariat@insticc.org

IEEE CIS Webinar – Understanding the Complexity of Financial Systems of Systems

;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:#ffffff;text-decoration-style:initial;text-decoration-color:initial”>Biography:

Roy FreemanRoy S. Freedman founded Inductive Solutions, Inc., to develop commercial AI software for genetic algorithms, neural networks, and case-based reasoning. His primary consulting interests involve solving problems associated with trading, operations, risk management, and compliance by using mathematics, statistics, and computer technology. As a consultant, he worked with stock exchanges, buy-side and sell-side firms, technology companies, startups, and government institutions. During the third term of the Bloomberg mayoral administration, he was the principal AI consultant to the Chief Information Officer of New York City Health & Human Services. As an expert witness, he testified on the federal level concerning financial and regulatory technology related to high-frequency trading.

Dr. Freedman teaches various courses related to financial systems (FinTech) and regulatory systems (RegTech) as adjunct professor in the department of Finance and Risk Engineering at the New York University Tandon School of Engineering (formerly Polytechnic University).

 
 
 

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