AIxPAC workshop (Artificial Intelligence for Perception and Consciousness)

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Dr. Eng. Pier Luigi Mazzeo, Researcher
National Research Council of Italy (CNR) 
Institute of Applied Sciences and Intelligent Systems (ISASI)
DHITECH – University Campus of Lecce 

Via Monteroni s.n. – Lecce – 73100 – Italy
pierluigi.mazzeo@cnr.it
https://sites.google.com/view/pierluigimazzeo/

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OLA’2024@Dubrovnik Optimization & Learning Int. Conf.

September 12th, 2023 Daniela Lopez de Luise
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                           OLA'2024
           International Conference on Optimization and Learning
                           13-15 May 2024
                           Dubrovnic, Croatia
                 http://ola2024.sciencesconf.org/
                     SCOPUS Springer Proceedings
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OLA is a conference focusing on the future challenges of optimization
and/or machine learning methods and their applications. The conference
OLA'2024 will provide an opportunity to the international research
community in optimization and learning to discuss recent research
results and to develop new ideas and collaborations in a friendly and
relaxed atmosphere.

OLA'2024 welcomes presentations that cover any aspects of optimization
and/or machine learning research such as big optimization and learning,
optimization for learning, learning for optimization, optimization and
learning under uncertainty, deep learning, new high-impact applications,
parameter tuning, 4th industrial revolution, computer vision,
hybridization issues, optimization-simulation, meta-modeling,
high-performance computing, parallel and distributed optimization and
learning, surrogate modeling, multi-objective optimization …

Submission papers: We will accept two different types of submissions:
–       S1: Extended abstracts of work-in-progress and position papers
of a maximum of 3 pages
–       S2: Original research contributions of a maximum of 12 pages

Important dates:
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Paper submission extended deadline     Dec 16, 2023
Notification of acceptance    Feb 09, 2024

Proceedings: Accepted papers in categories S1 and S2 will be published
in the proceedings. A SCOPUS and DBLP indexed Springer book will be
published for accepted long papers. Proceedings will be available at the
conference.

IEEE FG 2024 Call for papers

IEEE International Conference on Automatic Face and Gesture Recognition 
(FG 2024)
27-31 May 2024, Istanbul, Turkey
https://fg2024.ieee-biometrics.org/

Round 1 paper submission: 18 September 2023
Round 2 paper submission: 22 January 2024
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*** Call for Papers ***
The IEEE conference series on Automatic Face and Gesture Recognition is
the premier international forum for research in image and video-based
face, gesture, and body movement recognition. Its broad scope includes
advances in fundamental computer vision, pattern recognition, computer
graphics, and machine learning techniques relevant to face, gesture, and
body action, new algorithms, and analysis of specific applications. The
18th IEEE International Conference on Automatic Face and Gesture
Recognition will be held on 27th-31st May 2023 in Istanbul, Turkey as an
in-person event. For FG 2024 we are soliciting papers in all areas of
face and gesture recognition.

Topics of interest include, but are not limited to:

+ Face recognition, analysis and synthesis,
+ Gesture recognition, analysis and synthesis,
+ Body motion analysis and synthesis,
+ Action recognition,
+ Psychological and behavioral analysis,
+ Technologies and applications

*** Paper format and submission ***

Webinar GRATUITO! Modelo de Explotación del Dato para la Industria bajo la perspectiva de Edge Computing

  Webinar GRATUITO en AADECA
“Estos Cursos se pueden presentar al Programa de Crédito Fiscal
para capacitación PYME del Ministerio de Desarrollo Productivo de la Nación”
AADECA
 

Webinar GRATUITO!  Modelo de Explotación del Dato para la Industria bajo la perspectiva de Edge Computing

29 de Septiembre, 17:00 hs 
Por Andrés Felipe Hurtado Banguero

En un mundo cada vez más conectado y digitalizado, la forma en que las industrias gestionan y utilizan los datos se ha convertido en un factor crucial para el éxito y la innovación. En esta charla, exploraremos una perspectiva emergente en la industria: el uso del Edge Computing como medio para obtener y aprovechar datos de manera eficiente y efectiva.

Comenzaremos sumergiéndonos en la esencia del Edge Computing, una tecnología que descentraliza el procesamiento de datos al llevarlo más cerca de las fuentes de generación, como sensores y dispositivos industriales. Exploraremos cómo este enfoque no solo reduce la latencia y mejora la velocidad de respuesta, sino que también abre nuevas posibilidades para la explotación de datos en tiempo real.

Luego, abordaremos cómo podemos utilizar y crear modelos de negocio en torno a esta perspectiva. Veremos cómo el hardware, en forma de dispositivos de borde inteligentes, puede actuar como puntos de recopilación y procesamiento de datos en el mismo lugar donde se generan. Esto no solo alivia la carga en las redes y servidores centrales, sino que también permite la toma de decisiones más rápida y precisa.

Exploraremos ejemplos concretos de cómo las industrias están implementando estrategias de Edge Computing para optimizar la recolección de datos. Discutiremos cómo esto no solo se traduce en eficiencia operativa, sino que también crea oportunidades para la creación de modelos de negocio innovadores. Desde la monitorización de maquinaria en tiempo real hasta la implementación de sistemas de mantenimiento predictivo, el Edge Computing está revolucionando la forma en que se aprovechan los datos en la industria.

Concluiremos examinando los desafíos y consideraciones que conlleva la adopción de este enfoque. Discutiremos temas como la seguridad de los datos, la integración con infraestructuras existentes y cómo superar posibles obstáculos en la implementación

INSCRIPCIÓN GRATUITA!

Más Información  Descargar PDF

 

 

 

Andrés Felipe Hurtado Banguero

Ingeniero Electrónico con experiencia en la dirección de Proyectos Tecnológicos del Sector Industrial, interconectando tecnologías de la Pirámide CIM, como Sistemas MES y Sistemas ERP. Integrador de marcas como: Siemens, Allen Bradley, Schneider Electric, Unitronics y Yokogawa.
Consultor y Director de Proyectos de Industria 4.0 con la Tecnología habilitadora IOT aplicado a la Industria (IIOT). Director del Grupo Laboratorio de Investigación para el desarrollo de la Ingeniería de Software (LIDIS) de la Universidad San Buenaventura Cali, Director y Docente de los Diplomados de Comunicaciones Industriales y de Industria 4.0 e IIOT de la Institución Universitaria Antonio José Camacho. Consultor y director de Proyectos de Automatización Industrial de la empresa Metroindustrial, Consultor de Industria 4.0 en la firma Servitechno.
Editor del canal de formación y entrenamiento en automatización Industrial “EEYMUC” y Conferencista en Redes Industriales e Industria 4.0

Nuestros Socios Adherentes

       


Final CFP – IEEE DependSys2023 (Dependability and Security), Dec. 2023

The  9th IEEE International Conference on  Dependability in Sensor, Cloud and Big Data Systems and Applications, 13-15 Dec. 2023, Melbourne, Australia.

Website: http://www.swinflow.org/confs/2023/dependsys/

Key dates:
Submission Deadline: September 15, 2023 (HST, Firm)
Notification: October 15, 2023
Final Manuscript Due: October 30, 2023

Submission site: http://www.swinflow.org/confs/2023/dependsys/submission.htm

Publication:
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.

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Introduction
 
IEEE DependSys 2023 conference is the next event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems oftentend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical.
  
This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. 
    
Scope and Topics
Track 1: Dependability and Security Fundamentals and Technologies
– Concepts, theory, and methodologies
– Dependability of sensor, networks
– Dependability issues in cloud/fog/edge
– Security and privacy
– Security/privacy in cloud/fog/edge
– Artificial intelligence
– Big data foundation and management
– Dependable IoT supporting technologies

Track 2 : Dependable and Secure Systems
– Dependable sensor systems
– Dependability issues in distributed systems
– Cyber-physical systems
– Database and transaction processing systems
– Safety and security in distributed systems
– Dependability in automotive systems
– Dependability in big data systems
– Software system security
– Blockchain-based systems

Track 3: Dependable and Secure Applications
– Sensor and robot applications
– Big data applications
– Cloud/fog/edge applications
– Safety care, medical care and services
– Aerospace, transportation applications
– Energy, smart city, smart grid
– IoT, CPS and industrial application

Track 4 : Dependability and Security Measures and Assessments
– Metrics and measures for safety, trust, faith
– Levels and assessment criteria and authority
– Dependability measurement, modeling
– Dependability evaluation
– Software reliability and verification
– Hardware reliability and verification
– Evaluations and tools    
  

Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper. submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one
of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site:  http://www.swinflow.org/confs/2023/dependsys/submission.htm.

Publications
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.  

General Chairs
Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA
Vincenzo Piuri, University of Milan, Italy  
  
Program Chairs
Md Zakirul Alam Bhuiyan, Fordham University, USA   
Kai Zhang, Swinburne University of Technology, Australia

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