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University of Porto, Portugal

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37 Papers

Distributing Intelligence among Cloud, Fog and Edge in Industrial Cyber-physical Systems

Topics: Machine Learning in Control Applications; Distributed Control Systems; Software Agents for Intelligent Control Systems; Industrial Internet of Things

Authors: Jonas Queiroz ¹ , Paulo Leitão ² , José Barbosa ² and Eugénio Oliveira ¹

Affiliations: ¹ University of Porto, Faculty of Engineering - LIACC, Porto and Portugal , ² Research Center in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança and Portugal

Digital Object Identifier: 10.5220/0007979404470454

Proceedings of ICINCO 2019, ISBN: 978-989-758-380-3

Quick Abstract

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. The solution lies in taking advantage of Edge and Fog computing to create a decentralized multi-level data analysis computing infrastructure that supports the development of industrial CPS. However, this is not a straightforward task, posing several challenges and demanding new approaches and technologies. In this context, this work discusses the distribution of intelligence along Cloud, Fog and Edge computing layers in industrial CPS, leveraging some research challenges and future directions.

Related Ontology Subjects/Areas/Topics (5)

Distributed Control Systems		Intelligent Control Systems and Optimization		Software Agents for Intelligent Control Systems
Informatics in Control, Automation and Robotics		Machine Learning in Control Applications

Airline Disruption Management - Dynamic Aircraft Scheduling with Ant Colony Optimization

Topics: Planning and Scheduling; Constraint Satisfaction; Evolutionary Computing; Industrial Applications of AI

Authors: Henrique Sousa ¹ , Ricardo Teixeira ¹ , Henrique Lopes Cardoso ² and Eugénio Oliveira ²

Affiliations: ¹ Universidade do Porto, Portugal , ² Universidade do Porto, LIACC and Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

Digital Object Identifier: 10.5220/0005205303980405

Proceedings of ICAART 2015, ISBN: 978-989-758-074-1

Quick Abstract

Disruption management is one of the main concerns of any airline company, as it can influence its annual revenue by upwards of 3%. Most of medium to large airlines have specialized teams which focus on recovering disrupted schedules with very little automation. This paper presents a new automated approach to solve both the Aircraft Assignment Problem (AAP) and the Aircraft Recovering Problem (ARP), where the solutions are responsive to unforeseen events. The developed algorithm, based on Ant Colony Optimization, aims to minimize the operational costs involved and is designed to schedule and reschedule flights dynamically by using a sliding window. Test results tend to indicate that this approach is feasible, both in terms of time and quality of the proposed solutions.

Related Ontology Subjects/Areas/Topics (12)

Artificial Intelligence	Formal Methods	Planning and Scheduling
Computational Intelligence	Industrial Applications of AI	Simulation and Modeling
Constraint Satisfaction	Informatics in Control, Automation and Robotics	Soft Computing
Evolutionary Computing	Intelligent Control Systems and Optimization	Symbolic Systems

DipBlue: A Diplomacy Agent with Strategic and Trust Reasoning

Topics: Multi-Agent Systems; State Space Search; Cooperation and Coordination; Negotiation and Interaction Protocols

Authors: André Ferreira ¹ , Henrique Lopes Cardoso ² and Luis Paulo Reis ³

Affiliations: ¹ Universidade do Porto, Portugal , ² LIACC – Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal , ³ University of Minho, Portugal

Digital Object Identifier: 10.5220/0005205400540065

Proceedings of ICAART 2015, ISBN: 978-989-758-073-4

Quick Abstract

Diplomacy is a multi-player strategic and zero-sum board game, free of random factors, and allowing negotiation among players. The majority of existing artificial players (bots) for Diplomacy do not exploit the strategic opportunities enabled by negotiation, instead trying to decide their moves through solution search and the use of complex heuristics. We present DipBlue, an approach to the development of an artificial player that uses negotiation in order to gain advantage over its opponents, through the use of peace treaties, formation of alliances and suggestion of actions to allies. A simple trust assessment approach is used as a means to detect and react to potential betrayals by allied players. DipBlue was built to work with DipGame, a multi-agent systems testbed for Diplomacy, and has been tested with other players of the same platform and variations of itself. Experimental results show that the use of negotiation increases the performance of bots involved in alliances, when full trust is assumed. In the presence of betrayals, being able to perform trust reasoning is an effective approach to reduce their impact.

Related Ontology Subjects/Areas/Topics (13)

Agents	Enterprise Information Systems	Negotiation and Interaction Protocols
Artificial Intelligence	Knowledge Engineering and Ontology Development	Software Engineering
Artificial Intelligence and Decision Support Systems	Knowledge-Based Systems	State Space Search
Cooperation and Coordination	Multi-Agent Systems	Symbolic Systems
Distributed and Mobile Software Systems

Monte Carlo Tree Search in The Octagon Theory

Topics: State Space Search; Simulation

Authors: Hugo Fernandes , Pedro Nogueira and Eugénio Oliveira

Affiliation: Faculty of Engineering of the University of Porto, Portugal

Digital Object Identifier: 10.5220/0004757603280335

Proceedings of ICAART 2014, ISBN: 978-989-758-015-4

Quick Abstract

Monte Carlo Tree Search (MCTS) is a family of algorithms known by its performance in difficult problems that cannot be targeted with the current technology using classical AI approaches. This paper discusses the application of MCTS techniques in the fixed-length game The Octagon Theory, comparing various policies and enhancements with the best known greedy approach and standard Monte Carlo Search. The experiments reveal that the usage of Move Groups, Decisive Moves, Upper Confidence Bounds for Trees (UCT) and Limited Simulation Lengths turn a losing MCTS agent into the best performing one in a domain with estimated gametree complexity of 10293, even when the provided computational budget is kept low.

Related Ontology Subjects/Areas/Topics (11)

Agents	Enterprise Information Systems	Simulation
Artificial Intelligence	Information Systems Analysis and Specification	State Space Search
Bioinformatics	Methodologies and Technologies	Symbolic Systems
Biomedical Engineering	Operational Research

A Comparative Study of Different Image Features for Hand Gesture Machine Learning

Topics: Intelligent User Interfaces; Machine Learning; Vision and Perception; Pattern Recognition

Authors: Paulo Trigueiros ¹ , Fernando Ribeiro ² and Luis Paulo Reis ³

Affiliations: ¹ University of Minho, Portugal , ² Universidade do Minho, Portugal , ³ University of Minho / LIACC, Portugal

Digital Object Identifier: 10.5220/0004200100510061

Proceedings of ICAART 2013, ISBN: 978-989-8565-39-6

Quick Abstract

Vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition. Hand gesture recognition for human computer interaction is an area of active research in computer vision and machine learning. The primary goal of gesture recognition research is to create a system, which can identify specific human gestures and use them to convey information or for device control. In this paper we present a comparative study of seven different algorithms for hand feature extraction, for static hand gesture classification, analysed with RapidMiner in order to find the best learner. We defined our own gesture vocabulary, with 10 gestures, and we have recorded videos from 20 persons performing the gestures for later processing. Our goal in the present study is to learn features that, isolated, respond better in various situations in human-computer interaction. Results show that the radial signature and the centroid distance are the features that when used separately obtain better results, being at the same time simple in terms of computational complexity.

Related Ontology Subjects/Areas/Topics (22)

Artificial Intelligence	Human-Computer Interaction	Neurotechnology, Electronics and Informatics
Biomedical Engineering	Intelligent User Interfaces	Pattern Recognition
Biomedical Signal Processing	Knowledge Discovery and Information Retrieval	Physiological Computing Systems
Computational Intelligence	Knowledge-Based Systems	Sensor Networks
Data Manipulation	Machine Learning	Soft Computing
Enterprise Information Systems	Methodologies and Methods	Symbolic Systems
Evolutionary Computing	Neurocomputing	Vision and Perception
Health Engineering and Technology Applications

An Agent-based Framework for Intelligent Optimization of Interactive Visualizations

Topics: Multi-Agent Systems; State Space Search; Agent Models and Architectures; Agent Platforms and Interoperability

Authors: Pedro Miguel Moreira ¹ , Luis Paulo Reis ² and A. Augusto Sousa ³

Affiliations: ¹ Polytechnic Institute of Viana do Castelo and Univ. of Porto, Portugal , ² Univ. of Porto and University of Minho, Portugal , ³ Univ. of Porto, Portugal

Digital Object Identifier: 10.5220/0004185301540159

Proceedings of ICAART 2013, ISBN: 978-989-8565-38-9

Quick Abstract

Interactive visualization of virtual environments is an active research topic. There is a multiplicity of applications such as simulation systems, augmented and mixed reality environments, computer games, amongst others, which endlessly demand for greater levels of realism and interaction. At every stage of the process, including modeling, image synthesis, transmission and navigation, there are identifiable circumstances which may compromise the achievement of high quality solutions for the posed problems. For many of these problems, an effective use of optimization tools can play a major role in order to achieve solutions with better quality. Within this context, an innovative optimization architecture is presented regarding to two major principles. The first principle comprises the possibility to integrate, with reduced effort, the optimization tools with existent applications and systems. Thus, we propose an agent-based framework where the optimization application may operate as an independent process in respect to the visualization application where communication is achieved by means of a specifically developed high-level message based protocol. The second principle establishes on the utilization of a class of intelligent optimization methods, known as metaheuristics, which major distinguishing quality is their great level of problem-independence, thus, enabling a wider application. The paper describes conducted experiments and presents results that demonstrate the utility and efficacy of the proposed framework.

Related Ontology Subjects/Areas/Topics (13)

Agent Models and Architectures	Distributed and Mobile Software Systems	Multi-Agent Systems
Agent Platforms and Interoperability	Enterprise Information Systems	Software Engineering
Agents	Knowledge Engineering and Ontology Development	State Space Search
Artificial Intelligence	Knowledge-Based Systems	Symbolic Systems
Artificial Intelligence and Decision Support Systems

A METHODOLOGY FOR CREATING INTELLIGENT WHEELCHAIR USERS’ PROFILES

Topics: Intelligent User Interfaces; Autonomous Systems; Robot and Multi-Robot Systems

Authors: Brígida Mónica Faria ¹ , Sérgio Vasconcelos ² , Luis Paulo Reis ³ and Nuno Lau ⁴

Affiliations: ¹ Escola Superior de Tecnologia da Saúde do Porto, Instituto Politécnico do Porto, Inst. Eng. Electrónica e Telemática de Aveiro, Universidade de Aveiro, Laboratório de Inteligência Artificial e Ciência de Computadores and Universidade do Porto, Portugal , ² Faculdade de Engenharia, Universidade do Porto, Laboratório de Inteligência Artificial e Ciência de Computadores and Universidade do Porto, Portugal , ³ Escola de Engenharia and Universidade do Minho, Portugal , ⁴ Inst. Eng. Electrónica e Telemática de Aveiro and Universidade de Aveiro, Portugal

Digital Object Identifier: 10.5220/0003749701710179

Proceedings of ICAART 2012, ISBN: 978-989-8425-95-9

Quick Abstract

Intelligent Wheelchair (IW) is a new concept aiming to allow higher autonomy to people with lower mobility such as disabled or elderly individuals. Some of the more recent IWs have a multimodal interface, enabling multiple command modes such as joystick, voice commands, head movements, or even facial expressions. In these IW it may be very useful to provide the user with the best way of driving it through an adaptive interface. This paper describes the foundations for creating a simple methodology for extracting user profiles, which can be used to adequately select the best IW command mode for each user. The methodology is based on an interactive wizard composed by a flexible set of simple tasks presented to the user, and a method for extracting and analyzing the user’s execution of those tasks. The results achieved showed that it is possible to extract simple user profiles, using the proposed method. Thus, the approach may be further used to extract more complete user profiles, just by extending the set of tasks used, enabling the adaptation of the IW interface to each user’s characteristics.

Related Ontology Subjects/Areas/Topics (7)

Agents	Enterprise Information Systems	Intelligent User Interfaces
Artificial Intelligence	Human-Computer Interaction	Robot and Multi-Robot Systems
Autonomous Systems

THE LEARNING DESIGN IN EDUCATION TODAY - Putting Pedagogical Content Knowledge into Practice

Topics: e-Learning Platforms, Portals; e-Learning Hardware and Software; Pedagogy Enhancement with E-Learning

Authors: Isabel Azevedo ¹ , Dulce Mota ¹ , Carlos Vaz de Carvalho ¹ , Eurico Carrapatoso ² and Luis Paulo Reis ³

Affiliations: ¹ Polytechnic of Porto, Portugal , ² University of Porto, Portugal , ³ University of Porto and LIACC – Artificial Intelligence and Computer Science Lab, Portugal

Digital Object Identifier: 10.5220/0003921803440347

Proceedings of CSEDU 2012, ISBN: 978-989-8565-06-8

Quick Abstract

This article describes the use of learning design to contextualise learning resources in a repository through the use of pre-defined templates. We advocate a close connection between a resource and its pattern of use in order to improve learning objects reuse. Moreover, we present the rationale for adopting and using learning design templates in the TREE repository.

Related Ontology Subjects/Areas/Topics (8)

Computer-Supported Education	e-Learning Platforms	Simulation and Modeling
e-Learning	Learning/Teaching Methodologies and Assessment	Simulation Tools and Platforms
e-Learning Hardware and Software	Pedagogy Enhancement with e-Learning

AN INTELLIGENT FRAMEWORK FOR AUTOMATIC EVENT DETECTION IN ROBOTIC SOCCER GAMES - An Auxiliar Tool to Help Coaches Improve their Teams’ Performance

Topics: Coordination in Multi-Agent Systems; Intelligent Agents; Knowledge-Based Systems Engineering; Knowledge Management

Authors: João Portela ¹ , Pedro Abreu ¹ , Luís Paulo Reis ¹ , Eugénio Oliveira ¹ and Julio Garganta ²

Affiliations: ¹ FEUP-Faculty of Engineering of Porto University, Portugal , ² Faculty of Sport of Porto University, Portugal

Digital Object Identifier: 10.5220/0002900202440249

Proceedings of ICEIS 2010, ISBN: 978-989-8425-05-8

Quick Abstract

In soccer, the level of performance is determined by a number of a complex variables interrelated: technique, tactics, psychological factors and finally, fitness. Because of this, analyzing this information in a real-time, even for soccer experts like professional coaches has become an impossible task. Automatic event detection tools occupy an important role in this reality, although nowadays there isn’t any tool capable of producing information capable of helping a professional coach choosing his team strategy for a specific game. In this research project an automatic event detection tool is purposed and, a set of game statistics defined by a group of sports researchers. All the teams present in the 2009 RoboCup tournament have a pass success rate superior to 65%. These statistics provide an interesting viewpoint on how to evaluate a team performance, such as the importance of dominating the opposing team field without losing the control of our own (this can be seen on the top 3 zone dominance statistics). In the future this project will serve as a base for building a Framework capable of simulating a match between two heterogeneous soccer teams and produce reliable information for optimizing the team performance.

Related Ontology Subjects/Areas/Topics (23)

Agents	Informatics in Control, Automation and Robotics	Knowledge-Based Systems
Artificial Intelligence	Information Systems Analysis and Specification	Knowledge-Based Systems Applications
Artificial Intelligence and Decision Support Systems	Intelligent Agents	Ontologies and the Semantic Web
Biomedical Engineering	Intelligent Control Systems and Optimization	Society, e-Business and e-Government
Coordination in Multi-Agent Systems	Internet Technology	Software Engineering
Data Engineering	Knowledge Engineering	Symbolic Systems
Enterprise Information Systems	Knowledge Engineering and Ontology Development	Web Information Systems and Technologies
Health Information Systems	Knowledge Management

BIOSTORIES - Dynamic Multimedia Interfaces based on Automatic Real-time User Emotion Assessment

Topics: Intelligent User Interfaces; Machine Perception: Vision, Speech, Other; Multimedia Systems; Virtual Reality and Augmented Reality; Accessibility to Disabled Users

Authors: Vasco Vinhas ¹ , Eugénio Oliveira ² and Luís Paulo Reis ¹

Affiliations: ¹ FEUP - Faculdade de Engenharia da Universidade do Porto and LIACC - Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal , ² FEUP - Faculdade de Engenharia da Universidade do Porto; LIACC - Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

Digital Object Identifier: 10.5220/0002866700210029

Proceedings of ICEIS 2010, ISBN: 978-989-8425-08-9

Quick Abstract

BioStories is the outcome of a three and a half years research project focused in uniting affective and ubiquitous computing with context aware multimedia content generation and distribution. Its initial premise was based in the possibility of performing real-time automatic emotion assessment trough online biometric channels monitoring and use this information to design on-the-fly dynamic multimedia storylines emotionally adapted, so that end users would unconsciously be choosing the story flow. The emotion assessment process was based on dynamic fusion of biometric channels such as EEG, GSR, respiration rate and volume, skin temperature and heart rate on top of Russell’s circumplex model of affect. BioStories’ broad scope also allowed for some spin-off projects namely mouse control through EMG that resulted in a patented technology for alternative/inclusive interfaces. Exhaustive experiments showed 87% of success rate for emotion assessment in a dynamic tridimensional virtual environment with an immersiveness score of 4.2 out of 5. The success of the proposed approach allows the vision of its appliance in several domains such as virtual entertainment, videogames and cinema as well as direct marketing, digital TV and domotic appliances.

Related Ontology Subjects/Areas/Topics (13)

Accessibility to Disabled Users	Informatics in Control, Automation and Robotics	Robotics and Automation
Artificial Intelligence	Intelligent User Interfaces	Ubiquitous Learning
Computer-Supported Education	Machine Perception: Vision, Speech, Other	Virtual Environment, Virtual and Augmented Reality
Enterprise Information Systems	Multimedia Systems	Virtual Reality and Augmented Reality
Human-Computer Interaction

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