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C644867037-00000013-9/15 • GA_RV/RA GREENAUTO: VR/AR Operator guidance system

Leave a Comment / [DAI] Digital Automotive Industry, competitivo, concluído, internacional, nacional, projetos, viseu /

Principal Researcher:
Serafim Oliveira

Duration: 2022 – 2025

Cised team members
José Luís Silva
Rui Pedro Duarte
João Menoita Henriques
Paulo Vaz
Daniel Albuquerque
Ricardo Gama

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This project proposes impactful innovations in quality control processes through the development of a system for guidance of operators aided by virtual and augmented reality, and it is expected to address the digitalization applied to tasks performed by operators supported by virtual reality training and augmented reality. Creating a system that combines these components will accelerate the learning curve of new operators and prevent critical factors and operational errors.

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PIDI/CISeD/2023/011 • Modelos de Inteligência Artificial para Deteção de Stress Crónico e Padrões de Movimento em Ambientes de Atividades da Vida Diária

Leave a Comment / [CDS] Connected Digital Society, concluído, interno, nacional, não competitivo, não financiado, viseu /

Principal Researcher:
Rui Pedro Duarte
Duration: 2022 – 2024

Cised team members
Carlos Augusto da Silva Cunha

For a long time, stress has been considered an important health factor that affects the quality of life. Several studies indicate that excessive and continuous stress can trigger or worsen several diseases, such as cancer and cardiovascular. Stress is a response to a stressor, an external stimulus or condition that causes an emotional, physical, or psychological change in the individual. However, even though momentary stress can be easily identified, it is hard for people to recognize that they are living a stressful life. Multiple sclerosis (MS) is a chronic disease that affects individuals. It has symptoms on diverse levels, such as vision, fatigue, numbness and tingling, muscle spasms, stiffness and weakness, mobility problems, problems with thinking, learning, planning, and even depression and anxiety. With this, a few critical questions need to be raised: Is there any relation between stress and MS exacerbations? What are the relevant biomarkers to identify continuous stress? Are they reliable? Are their measurements little intrusive?
Thus, it is vital to measure stress and identify its types, in order to monitor and help people to deal with the manifestations of stress. It becomes crucial to identify continuous stress, as there are studies that indicate that it has a negative impact, while a systemic stress situation may even be rewarded. The monitoring process of this continuous stress needs to be controlled and with low intrusion in the user, so that it does not have negative effects on their lifestyle. For that, there are several biomarkers to identify stress in people, but not all are recommended. The most indicated biomarkers are heart rate (HR) and electrical conductivity, which can be monitored by devices such as smart watches. With this, it is possible to train artificial intelligence models to create a solution to detect long-term stress, which does not harm people's quality of life.

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POCH-02-53I2-FSE-000014 • IPV Inova e Inclui

[DDSS] Digital Decision Support Systems, [SWACES] Social Web Applied to Culture, Economy and Society, competitivo, concluído, nacional, projetos, viseu /

Duration: 2022 – 2023

Cised team members
António Pinto
Bruno Ferreira
Carlos Quental
Cristina Romão
Daniel Azevedo
Filipe Caldeira
Isabel Brás
Isabel Martins
Luísa Augusto
Maria Antunes
Steven Abrantes

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PIDI/CISeD/2021/002 • Combinações de relações bancárias e detentores do seu capital, custos de financiamento, performance e estrutura de capital das empresas

[DDSS] Digital Decision Support Systems, concluído, interno, nacional, não competitivo, não financiado, viseu /

Principal Researcher:
Pedro Manuel Nogueira Reis
António Pedro Soares Pinto

Duration: 2021 – 2023

A revisão da literatura identifica o efeito do poder de mercado do sistema bancário nos custos de financiamento da empresa (Wang et al., 2020; Abubakr & Esposito, 2012; Han et al., 2015), na estrutura de capital das pequenas empresas (Degryse et al., 2012), da inclusão financeira – acesso adequado, atempado e a custos reduzidos a um conjunto de produtos e serviços financeiros regulados, aumentando o bem-estar financeiro (Banco de Portugal, 2017) – e no desempenho da empresa (Chauvet & Jacolin, 2017). Contudo, pelo que seja do nosso conhecimento, ainda não foi realizado qualquer estudo que avalie o impacto das possíveis combinações das relações com as diversas instituições bancárias, bem como com as características dos seus detentores de capital, com as quais as empresas estabelecem relações, na sua atividade. O estudo incide sobre Pequenas e Médias Empresas (PME´s), que representam cerca de 99,9% do tecido empresarial português em 2019 (PORDATA, 2021) e 99,9% do tecido empresarial espanhol em janeiro de 2020 (MINISTERIO DE INDUSTRIA, COMERCIO Y TURISMO, 2021), constituindo este o grande impulso e motivação para a realização desta investigação. Para além, das características da carteira de credores de financiamento remunerado, o estudo contempla diferentes variáveis de controlo, tais como, a idade das empresas, o número de empregados, total de ativos, localização da empresa, quantidade de bancos de relação da empresa, entre outras características que se tornem relevantes para a análise.

OBJETIVOS
Este estudo procura avaliar de que forma as características das principais instituições bancárias que concedem crédito à empresa e, as relações de combinação entre elas, condicionam a estrutura de capital, os custos de financiamento e o desempenho das empresas, nomeadamente, nas de menor dimensão. Para além deste objetivo, também as características dos detentores de capital que controlam as instituições financeiras com as quais as empresas estabelecem relação será propósito de análise, no que respeita à sua influência na atividade financeira e operacional da empresa.
O universo da amostra em análise, será constituído por PME’s ibéricas, recolhido na base de dados SABI – Bureau Van Dijk, com recurso à análise de dados seccionados. Pretende-se também, aferir a prevalência, ou não, de diferenças significativas no comportamento das empresas portuguesas e espanholas.
Os dados serão analisados recorrendo a técnicas de inferência estatística como testes de hipóteses paramétricos e não paramétricos, regressão multivariada com recurso a equações simultâneas, modelando pelo estimador de 2 ou 3 estágios dos mínimos quadrados, procurando dar resposta às questões em investigação.

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PIDI/CISeD/2021/001 • Industrial Augmented Reality (IAR)

[DDSS] Digital Decision Support Systems, concluído, interno, nacional, não competitivo, não financiado, viseu /

Principal Researcher:
José Silva
Duration: 2021 – 2023

Cised team members
Olga Contente
Serafim Oliveira
Daniel Gaspar

The constant changes in the contextual environment and the continuous globalization cause changes in the market, which push the companies to look for new technologies to increase productivity and profitability. In addition, customer requirements force companies to make their production systems more flexible, efficient and competitive.

It is due to these changes that the need arises to implement interconnected systems, integrated into an industrial IoT platform (IIoT - Industrial Internet of Things), supported by the connection of equipment and production systems so that companies can create networks along the value chain and thus control and command processes independently and in real-time.

The implementation in organizations of intelligent and interconnected ecosystems allows making decisions in a decentralized way. However, it is necessary to provide tools to assist in decision-making, monitoring operations, and reducing errors by the operator.
This project aims to respond to this challenge with the application of solutions developed in augmented reality (AR) in an industrial environment.

The integration of AR in a production system allows to reduce production errors and increase the efficiency of product development since there is constant monitoring during the performance of tasks.

This project is based on three fundamental objectives.
One of the objectives of this project is the implementation of solutions developed in AR, in various industrial applications, namely, in carrying out maintenance interventions (inspection with remote support or access to instructions in virtual windows), in guiding employees through procedures, either be it the first time or a recurring task, using holographic step-by-step instructions and issuing alerts to users with the details necessary for the execution of operations.
The other objective is the integration of the AR system with an existing IIoT platform, which will allow obtaining and viewing in real-time the desired information for each equipment, such as the operating temperature, energy consumption, or the condition of the components. that integrate the equipment.
It is also the objective of this project to develop the best visualization solution taking into account the particularities of each application so that the interaction with the projections is fluid and with reduced latency.
Digital objects, from industrial equipment, will be developed using programming algorithms and spatial digitization for referencing the anchoring points of the real space where these objects are immersed.

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POCI-03-33B5-FSE-072070 • Link me up | 1000 ideias – Sistema de Apoio à co-criação de inovação, criatividade e empreendedorismo

[CDS] Connected Digital Society, competitivo, concluído, nacional, projetos, viseu /

Duration: 2021 – 2023

CISeD Team Members:
Isabel Oliveira
Luísa Augusto
Rui Pedro Monteiro Amaro Duarte

Funding
Compete2020; Portugal2020; União Europeia – FSE

Link Me Up - 1000 ideas, Support System for the co-creation of innovation, creativity and entrepreneurship, is a project that brings together 13 Portuguese Polytechnic Institutes to promote the entrepreneurial spirit entrepreneurship through the training of young students and/or entrepreneurs with a view to increasing the quality of employment and the creation of innovative companies.

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CENTRO-01-0246-FEDER-000044 • INOVC+ Ecossistemas de Inovação Inteligente da Região Centro

[DDSS] Digital Decision Support Systems, [SWACES] Social Web Applied to Culture, Economy and Society, competitivo, concluído, nacional, projetos, viseu /

CISeD Team Members:
Bruno Ferreira
Cristina Romão
Ricardo Gama
Rui Pedro Duarte
Steven Lopes Abrantes
Serafim Oliveira

Duration: 2021 – 2023

Funding
FEDER

InovC+ is a regional project that promotes the valorization and transfer of scientific and technological knowledge, promoting interaction between the 19 partners of this initiative (higher education institutions, scientific interface entities and innovation parks) and the regional economy and consolidating the innovation ecosystem of the Central Region. This project will fund several activities with this purpose, from which we highlight the technology shows, the business ideas contest ARRISCA C+, proofs of concept, awareness and training actions for the promotion of the transfer culture, and protection of scientific knowledge with transfer potential.

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