2021
Autores
de Toledo, RF; de Farias, JR; de Castro, HCGA; Putnik, GD; da Silva, LE;
Publicação
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
Abstract
Sustainability in project management is an emerging and evolving field of study, in the 2030 Agenda for Sustainable Development. Sustainability in project management is immersed in many goals and targets, and is also echoed in many other goals and targets. In this sense, the goal of this research was to analyse how to incorporate sustainability issues and Sustainable Development Goals - SDGs as critical success factors for project management and propose a sustainable project management model. The developed conceptual model contains the variables related to the identified barriers and motivation factors for the integration of sustainability with project management. It presents seven hypotheses and five constructs: Sustainable Development Goals; Interested Parties; Sustainable Companies; Sustainable Project Management Methodology and Sustainable Project. The proposed model and its constructs' relationships were validated using a structural equation model, across more than 400 valid questionnaires, completed by project management professionals from all around the world. The main result of the study indicates that for sustainability to become an integer part of project management, the dissemination and use of a sustainable project management methodology that considers the SDGs - Sustainable Development Goals by companies and professional associations, encouraging professionals to be trained and certified in these sustainable methodologies, is necessary.
2021
Autores
VIERA, LAB; PASCOAL, PG; RECH, C; MEZAROBA, M;
Publicação
Proceedings of the 13th Seminar on Power Electronics and Control (SEPOC 2021)
Abstract
2021
Autores
Santos, G; Pinto, T; Vale, Z;
Publicação
ELECTRONICS
Abstract
This paper presents the AiD-EM Ontology, which provides a semantic representation of the concepts required to enable the interoperability between multi-agent-based decision support systems, namely AiD-EM, and the market agents that participate in electricity market simulations. Electricity markets' constant changes, brought about by the increasing necessity for adequate integration of renewable energy sources, make them complex and dynamic environments with very particular characteristics. Several modeling tools directed at the study and decision support in the scope of the restructured wholesale electricity markets have emerged. However, a common limitation is identified: the lack of interoperability between the various systems. This gap makes it impossible to exchange information and knowledge between them, test different market models, enable players from heterogeneous systems to interact in common market environments, and take full advantage of decision support tools. To overcome this gap, this paper presents the AiD-EM Ontology, which includes the necessary concepts related to the AiD-EM multi-agent decision support system, to enable interoperability with easier cooperation and adequate communication between AiD-EM and simulated market agents wishing to take advantage of this decision support tool.
2021
Autores
Varajão, J; Amaral, A;
Publicação
International Journal of Project Management and Productivity Assessment
Abstract
2021
Autores
Paredes, H; Paulino, D; Barroso, J; Abrantes, C; Rocha Machado, IMd; Silva, I;
Publicação
HICSS
Abstract
Peripheral artery disease (PAD) main symptom is intermittent claudication, causing pain and limiting the walking abilities of patients, forcing individuals to temporarily stop walking. One treatment advised to counteract the effects of this disease is the practice of physical exercise with monitoring. Currently the monitored exercise programs are applied at the hospital, so some patients have to travel long distances three times a week, with high costs and low adherence of the patients. This paper presents the cocreation process of a mobile application for quantified supervised home-based exercise therapy on PAD patients. The study aimed to design a solution adapted to users' needs, which collects the necessary information for the therapy supervision by health professionals. The users' behaviour with the application allowed the assessment to a set of limitations and potential sources of noise in the supervision data that suggest the evolution to a pervasive solution, by minimizing, or even eliminating, the interaction with the users. The developed tool is a first step towards the creation of a technological ecosystem for the prescription of supervised therapeutic physical exercise, which leverages self-care and allows access to this type of therapy to the entire population. Cardiovascular disease represents a considerable economic burden to society, therefore effective preventive measures are necessary.
2021
Autores
Oliveira, LFP; Moreira, AP; Silva, MF;
Publicação
ROBOTICS
Abstract
The constant advances in agricultural robotics aim to overcome the challenges imposed by population growth, accelerated urbanization, high competitiveness of high-quality products, environmental preservation and a lack of qualified labor. In this sense, this review paper surveys the main existing applications of agricultural robotic systems for the execution of land preparation before planting, sowing, planting, plant treatment, harvesting, yield estimation and phenotyping. In general, all robots were evaluated according to the following criteria: its locomotion system, what is the final application, if it has sensors, robotic arm and/or computer vision algorithm, what is its development stage and which country and continent they belong. After evaluating all similar characteristics, to expose the research trends, common pitfalls and the characteristics that hinder commercial development, and discover which countries are investing into Research and Development (R&D) in these technologies for the future, four major areas that need future research work for enhancing the state of the art in smart agriculture were highlighted: locomotion systems, sensors, computer vision algorithms and communication technologies. The results of this research suggest that the investment in agricultural robotic systems allows to achieve short-harvest monitoring-and long-term objectives-yield estimation.
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