Collective intelligence in self-organized industrial cyber-physical systems

Cyber-physical systems (CPS) play an important role in the implementation of new Industry 4.0 solutions, acting as the backbone infrastructure to host distributed intelligence capabilities and promote the collective intelligence that emerges from the interactions among individuals. This collective intelligence concept provides an alternative way to design complex systems with several benefits, such as modularity, flexibility, robustness, and reconfigurability to condition changes, but it also presents several challenges to be managed (e.g., non-linearity, self-organization, and myopia). With this in mind, this paper discusses the factors that characterize collective intelligence, particularly that associated with industrial CPS, analyzing the enabling concepts, technologies, and application sectors, and providing an illustrative example of its application in an automotive assembly line. The main contribution of the paper focuses on a comprehensive review and analysis of the main aspects, challenges, and research opportunities to be considered for implementing collective intelligence in industrial CPS. The identified challenges are clustered according to five different categories, namely decentralization, emergency, intelligent machines and products, infrastructures and methods, and human integration and ethics. Although the research indicates some potential benefits of using collective intelligence to achieve the desired levels of autonomy and dynamic adaptation of industrial CPS, such approaches are still in the early stages, with perspectives to increase in the coming years. Based on that, they need to be further developed considering some main aspects, for example, related to balancing the distribution of intelligence by the vertical and horizontal dimensions and controlling the nervousness in self-organized systems.info:eu-repo/semantics/publishedVersio

A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems

The ongoing 4th industrial revolution is characterized by the digitization of industrial environments, mainly based on the use of Internet of Things, Cloud Computing and Artificial Intelligence (AI). Regarding AI, although data analysis has shown to be a key enabler of industrial Cyber-Physical Systems (CPS) in the development of smart machines and products, the traditional Cloud-centric solutions are not suitable to attend the data and time-sensitive requirements. Complementary to Cloud, Edge Computing has been adopted to enable the data processing capabilities at or close to the physical components. However, defining which data analysis tasks should be deployed on Cloud and Edge computational layers is not straightforward. This work proposes a framework to guide engineers during the design phase to determine the best way to distribute the data analysis capabilities among computational layers, contributing for a lesser ad-hoc design of distributed data analysis in industrial CPS. Besides defining the guidelines to identify the data analysis requirements, the core contribution relies on a Fuzzy Logic recommendation system for suggesting the most suitable layer to deploy a given data analysis task. The proposed approach is validated in a smart machine testbed that requires the implementation of different data analysis tasks for its operation.This work was supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.info:eu-repo/semantics/publishedVersio

Distributing intelligence among cloud, fog and edge in industrial cyber-physical systems

The 4th industrial revolution advent promotes the reorganization of the traditional hierarchical automation systems towards decentralized Cyber-Physical Systems (CPS). In this context, Artificial Intelligence (AI) can address the new requirements through the use of data-driven and distributed problem solving approaches, such those based on Machine-Learning and Multi-agent Systems. Although their promising perspectives to enable and manage intelligent Internet of Things environments, the traditional Cloud-based AI approaches are not suitable to handle many industrial scenarios, constrained by responsiveness and data sensitive.info:eu-repo/semantics/publishedVersio

Development of a smart electric motor testbed for Internet of things and big data technologies

Smart devices and Internet of Things (IoT) technologies are becoming each day more common. At the same time, besides the exponentially increasing demand to analyze the produced data, there is an evolving trend to perform the data analysis closer to the data sources, particularly at the Fog and Edge levels. In this sense, the development of testbeds that can, e.g., simulate smart devices in IoT environments, are important to explore and develop the technologies to enable the complete realization of such IoT concepts. This paper describes the digitization of an electric motor, through the incorporation of sensing and an analytical computational environment, towards the development of a testbed for IoT and Big Data technologies. The smart electric motor testbed provides real-time data streams, enabling a continuous monitoring of its operation along all the device life-cycle through advanced data analytics. Furthermore, the paper discusses how specific data analytics features fit the different IoT layers, while preliminary experiments demonstrate the testbed potentials.info:eu-repo/semantics/publishedVersio

O setor coureiro : análise das vantagens comparativas para o caso brasileiro

Orientador: Paulo Mello GarciasMonografia(Graduação) - Universidade Federal do Paraná,Setor de Ciências Sociais Aplicadas, Curso de Ciências Econômica

RESTOCIALIZATION POLICIES IN THE PRISON SYSTEM: CURRENT SITUATION, LIMITATIONS AND CHALLENGES.

O tema desse artigo é voltado para as polí­ticas de ressocialização no sistema prisional. Investigou-se o seguinte problema: "Qual a situação atual, suas principais limitações e os desafios?". Cogitou-se a seguinte hipótese "as polí­ticas de ressocialização do apenado no sistema prisional brasileiro tendem ao colapso". O objetivo geral é apresentar a situação atual, as limitações e os desafios das polí­ticas de ressocialização no sistema prisional brasileiro. Os objetivos especí­ficos são "apontar, na atualidade, quem é responsável pela gestão dos sistemas prisionais" e "apresentar os modelos atuais de ressocialização". Este trabalho tem importância em uma perspectiva individual devido ao questionamento social sobre o tema. Para a ciência, esta pesquisa se mostra útil em expor de modo sistemático as polí­ticas de ressocialização no sistema prisional. Este assunto cresce de importância para a sociedade brasileira, face a esta crise, aparentemente sem solução. Trata-se de uma pesquisa qualitativa teórica de três meses.  The theme of this article is focused on re-socialization policies in the prison system. The following problem was investigated: What is the current situation, its main limitations and challenges? The following hypothesis was considered "the policies of re-socialization of the inmate in the Brazilian prison system tend to colapse". The general objective is to present the current situation, the limitations and the challenges of re-socialization policies in the Brazilian prison system. The specific objectives are "to point out, at present, who is responsible for the management of prison systems" and "present the current models of resocialization". This work is important in an individual perspective due to the social questioning on the topic. For science, this research is useful in systematically exposing the policies of re-socialization in the prison system. This issue grows in importance for Brazilian society, in the face of this crisis, apparently without solution. It is a qualitative theoretical research of three months

Hands-on learning modules for upskilling in industry 4.0 technologies

The Industry 4.0 (I4.0) advent is re-shaping the way systems and processes operate by considering Cyber- Physical Systems combined with a plethora of emergent Information and Communication Technologies (ICT), e.g., Internet of Things (IoT), Artificial Intelligence, Cloud Computing and Intelligent Robotics. However, the emergence of such disruptive technologies strongly establishes a demand for upskilling and requalification of active professionals and young undergraduate students. This means that the wide adoption of the 14.0 systems and related tech-nologies is dependent on the efficient implementation of lifelong learning and training initiatives that address these challenges. Having this in mind, this paper describes the implementation of a series of short learning modules and hackathons that relies on a strong hands-on practical experimentation, regarding the upskilling in emergent ICT technologies, particularly focusing on IoT, mobile robotics and Multi-agent Systems. The preliminary efforts contributed to qualify undergraduate students and active professionals in disruptive ICT, with the attendees' feedback illustrating the importance of these kind of short and hands-on learning modules to address towards the continuous demands associated to the diaital transformation.info:eu-repo/semantics/publishedVersio

Módulo de aprendizaje para diseñar placas de circuito impreso para dispositivos basados en el IoT

[ES] El taller sobre Tecnologías Disruptivas de la Información y la Comunicación para la Innovación y la Transformación Digital, organizado en el ámbito del proyecto DISRUPTIVE (disruptive.usal.es) y celebrado el 12 de septiembre de 2022 en Valladolid, tiene como objetivo debatir sobre los problemas, retos y beneficios del uso de tecnologías digitales disruptivas, a saber, Internet de las Cosas, Big data, computación en la nube, sistemas multiagente, aprendizaje automático, realidad virtual y aumentada y robótica colaborativa, para apoyar la transformación digital en curso en la sociedad. El programa del taller incluyó 6 papers técnicos aceptados, 2 charlas de invitados y una sesión de networking. Este volumen contiene 6 de las ponencias presentadas en el taller sobre Tecnologías Disruptivas de la Información y la Comunicación para la Innovación y la Transformación Digital. Este taller fue organizado por ICE (Instituto para la Competitividad Empresarial de Castilla y León), UVa (Universidad de Valladolid) y apoyado principalmente por el Fondo Europeo de Desarrollo Regional (FEDER) a través del Programa Interreg España-Portugal V-A (POCTEP) bajo la subvención 0677_DISRUPTIVE_2_E (Dinamización de los Digital Innovation Hubs dentro de la región PocTep para el impulso de las TIC disruptivas y de última generación a través de la cooperación en la región transfronteriza).[EN] The workshop on Disruptive Information and Communication Technologies for Innovation and Digital transformation, organized under the scope of the DISRUPTIVE project (disruptive.usal.es) and held on September 12, 2022 in Valladolid, aims to discuss problems, challenges and benefits of using disruptive digital technologies, namely Internet of Things, Big data, cloud computing, multi-agent systems, machine learning, virtual and augmented reality, and collaborative robotics, to support the on-going digital transformation in society. The main topics included: Intelligent Manufacturing Systems; Industry 4.0 and digital transformation; Internet of Things; Cyber-security; Collaborative and intelligent robotics; Multi-Agent Systems; Industrial Cyber-Physical Systems; Virtualization and digital twins; Predictive maintenance; Virtual and augmented reality, Big Data and advanced data analytics; Edge and cloud Computing; Digital Transformation. The workshop program included 6 accepted technical papers, 2 invited talks and a networking session. This volume contains 6 of the papers presented at the Workshop on Disruptive Information and Communication Technologies for Innovation and Digital Transformation. This workshop was organized by ICE (Institute for Business Competitiveness of Castilla y León), UVa (University of Valladolid) and mainly supported by the European Regional Development Fund (ERDF) through the Interreg Spain-Portugal V-A Program (POCTEP) under grant 0677_DISRUPTIVE_2_E (Intensifying the activity of Digital Innovation Hubs within the PocTep region to boost the development of disruptive and last generation ICTs through cross-border cooperation)

A machine learning approach for collaborative robot smart manufacturing inspection for quality control systems1-10

The 4th industrial revolution promotes the automatic inspection of all products towards a zero-defect and high-quality manufacturing. In this context, collaborative robotics, where humans and machines share the same space, comprises a suitable approach that allows combining the accuracy of a robot and the ability and flexibility of a human. This paper describes an innovative approach that uses a collaborative robot to support the smart inspection and corrective actions for quality control systems in the manufacturing process, complemented by an intelligent system that learns and adapts its behavior according to the inspected parts. This intelligent system that implements the reinforcement learning algorithm makes the approach more robust once it can learn and be adapted to the trajectory. In the preliminary experiments, it was used a UR3 robot equipped with a Force-Torque sensor that was trained to perform a path regarding a product quality inspection task. © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020info:eu-repo/semantics/publishedVersio

Aplicaciones tecnológicas para la agricultura sostenible: un trinomio

[ES] El intercambio de ideas entre científicos y técnicos, tanto del ámbito académico como empresarial, es fundamental para facilitar el desarrollo de sistemas que puedan satisfacer las demandas de la sociedad actual. La transferencia de tecnología en este campo sigue siendo un reto y, por ello, este tipo de aportaciones se consideran de forma destacada en esta recopilación. Este libro trae debates y publicaciones sobre el desarrollo de técnicas innovadoras de problemas complejos de IoT. El programa técnico se centra tanto en la alta calidad como en la diversidad, con contribuciones en áreas de investigación bien establecidas y en evolución. Específicamente, 10 capítulos fueron presentados a este libro. Los editores alentaron y agradecieron particularmente las contribuciones sobre IA y computación distribuida en aplicaciones de IoT. Los editores agradecen especialmente el apoyo financiero del proyecto “Virtual-Ledgers-Tecnologías DLT/Blockchain y Cripto-IOT sobre organizaciones virtuales de agentes ligeros y su aplicación en la eficiencia en el transporte de última milla”, ID SA267P18, financiado por Junta de Castilla y León y fondos FEDER.[EN] The exchange of ideas between scientists and technicians, from both academic and business areas, is essential in order to ease the development of systems which can meet the demands of today’s society. Technology transfer in this field is still a challenge and, for that reason, this type of contributions are notably considered in this compilation. This book brings in discussions and publications concerning the development of innovative techniques of IoT complex problems. The technical program focuses both on high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 10 chapters were submitted to this book. The editors particularly encouraged and welcomed contributions on AI and distributed computing in IoT applications. The editors are specially grateful for the funding supporting by the project “Virtual-Ledgers-Tecnologías DLT/Blockchain y Cripto-IOT sobre organizaciones virtuales de agentes ligeros y su aplicación en la eficiencia en el transporte de última milla”, ID SA267P18, financed by regional government of Castilla y León and FEDER funds