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15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017

作者： Spavieri, G. Fernandes, R.A.S. Vale, Z. Department of Electrical Engineering Federal University of Sao Carlos - UFSCar Sao Carlos Brazil Knowledge Engineering and Decision Support Research Center – GECAD Institute Polytechnic of Porto – IPP Porto Portugal

ISBN: (纸本)9783319615776

This paper has as main objective the performance evaluation of the Gravitational Search Algorithm for Demand Response programs applied to residential consumers. For this purpose, it was considered a model that describes the consumption and energy price, according to the loads present in a residence. This way, it is intended to minimize the cost of electricity for final consumers based on an optimized planning of their loads at different times. In addition, it will be considered a variable cost of electricity over time (hourly price). In this sense, the cost of electricity will be discretized throughout the day. Finally, the performance of the Gravitational Search Algorithm for the considered model will be evaluated. © Springer International Publishing AG 2018.

关键词： Optimization

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1431Dietary patterns and diet quality of Portuguese children and adolescents: the UPPER project

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International Journal of Epidemiology 2021年第SUPPLEMENT_1期50卷

作者： Moraes, Milena Oliveira, Bruno Afonso, Cláudia Santos, Cristina Torres, Duarte Lopes, Carla Miranda, Renata Rauber, Fernanda Antoniazzi, Luiza Levy, Renata Rodrigues, Sara Faculty Of Nutrition And Food Sciences University Of Porto Porto Portugal Epidemiology Research Unit (EPIUnit) - Institute of Public Health of the University of Porto (ISPUP)/ Associated Laboratory ITR- Laboratory for Integrative and Translational Research in Population Health Porto Portugal Artificial Intelligence and Decision Support (LIAAD)-Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Center for Health Technology and Services Research (CINTESIS) University of Porto/ Associate Laboratory RISE - Health Research Network Porto Portugal Faculty of Medicine University of Porto Porto Portugal Department of Preventative Medicine Faculty of Medicine University of São Paulo São Paulo Brazil Department of Nutrition School of Public Health University of São Paulo São Paulo Brazil

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Hybrid tourism recommendation system based on functionality/accessibility levels 15th

Hybrid tourism recommendation system based on functionality/...

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15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017

作者： Santos, Filipe Almeida, Ana Martins, Constantino de Oliveira, Paulo Moura Gonçalves, Ramiro Computer Science Department Institute of Engineering Polytechnic of Porto Porto Portugal GECAD Knowledge and Decision Support Research Group Porto Portugal INESC TEC Trás-os-Montes e Alto Douro University Vila Real Portugal

ISBN: (纸本)9783319615776

This paper describes a proposal to develop a Tourism Recommendation System based in Users and Points-of-Interest (POI) functionality/accessibility levels. The focus is to evaluate if user’s physical and psychological functionality levels can perform an important role in recommendation results accuracy. This work also aims to show the importance of POI classification (accessibility levels are related with each POI ability to receive tourists with certain levels of physical and psychological issues), through the definition of a different model regarding their accessibility and other characteristics. © Springer International Publishing AG 2018.

关键词： Recommender systems

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Quality Assurance in Education Through the Diploma Policy and President's Message: An Analysis Focused on Local Community

Quality Assurance in Education Through the Diploma Policy an...

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International Congress on Advanced Applied Informatics

作者： Kahori Ogashiwa Kumiko Kanekawa Kazuhisa Noguchi Masao Mori Toru Sugihara Yuki Kitanaka Soichiro Aihara Sachio Hirokawa Graduate School of Integrated Frontier Sciences Graduate School of Integrated Frontier Sciences Kyushu University Office of Institutional Research and Decision Support Tokyo Institute of Technology Center for Research and Development of Higher Education Kanto Gakuin University Faculty of Information and Communication Engineering Osaka Electro-Communication University Center for Promotion of Educational Innovation Shibaura Institute of Technology Research Institute for Information Technology Kyushu University

ISBN: (纸本)9781538674482;9781538674475

Universities play an important role as centers of local communities. In recent years, new faculties and graduate schools have been established for students to learn about solving problems through local community involvement. In this study, we conduct an inter-university comparison and analyze the common points and differences between eight targeted universities. These include national universities (nine departments) that use the word "community" ("chi-i-ki" in Japanese) in the name of a department. We use the term frequency-inverse document frequency (tf-idf), which is one of the popular indexes in text mining, and apply it to two documents, i.e., the diploma policy (DP) and the president's message (PM). We extracted two groups from the target universities. One group had relatively high tf-idf value in terms of the word "community" across the two documents. The other group had a relatively low tf-idf value in their DP. Furthermore, the word "community" does not appear in the PM. All universities have established faculties in order to connect with local communities, although the strategies of each university demonstrate different priorities from each other.

关键词： Diploma policy Inter-university comparison Community Institutional research Text mining

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Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026

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The Lancet Global Health 2023年第3期11卷 e385-e413页

作者： Micah, Angela E. Bhangdia, Kayleigh Cogswell, Ian E. Lasher, Dylan Lidral-Porter, Brendan Maddison, Emilie R. Nguyen, Trang Nhu Ngoc Patel, Nishali Pedroza, Paola Solorio, Juan Stutzman, Hayley Tsakalos, Golsum Wang, Yifeng Warriner, Wesley Zhao, Yingxi Zlavog, Bianca S. Abbafati, Cristiana Abbas, Jaffar Abbasi-Kangevari, Mohsen Abbasi-Kangevari, Zeinab Abdelmasseh, Michael Abdulah, Deldar Morad Abedi, Aidin Abegaz, Kedir Hussein Abhilash, E.S. Aboagye, Richard Gyan Abolhassani, Hassan Abrigo, Michael R.M. Abubaker Ali, Hiwa Abu-Gharbieh, Eman Adem, Mohammed Hussien Afzal, Muhammad Sohail Ahmadi, Ali Ahmed, Haroon Ahmed Rashid, Tarik Aji, Budi Akbarialiabad, Hossein Akelew, Yibeltal Al Hamad, Hanadi Alam, Khurshid Alanezi, Fahad Mashhour Alanzi, Turki M. Al-Hanawi, Mohammed Khaled Alhassan, Robert Kaba Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Ameyaw, Edward Kwabena Amini-Rarani, Mostafa Amu, Hubert Ancuceanu, Robert Andrei, Tudorel Anwar, Sumadi Lukman Appiah, Francis Aqeel, Muhammad Arabloo, Jalal Arab-Zozani, Morteza Aravkin, Aleksandr Y. Aremu, Olatunde Aruleba, Raphael Taiwo Athari, Seyyed Shamsadin Avila-Burgos, Leticia Ayanore, Martin Amogre Azari, Samad Baig, Atif Amin Bantie, Abere Tilahun Barrow, Amadou Baskaran, Pritish Basu, Sanjay Batiha, Abdul-Monim Mohammad Baune, Bernhard T. Berezvai, Zombor Bhardwaj, Nikha Bhardwaj, Pankaj Bhaskar, Sonu Boachie, Micheal Kofi Bodolica, Virginia Botelho, João Silva Botelho Braithwaite, Dejana Breitborde, Nicholas J.K. Busse, Reinhard Cahuana-Hurtado, Lucero Catalá-López, Ferrán Chansa, Collins Charan, Jaykaran Chattu, Vijay Kumar Chen, Simiao Chukwu, Isaac Sunday Dadras, Omid Dandona, Lalit Dandona, Rakhi Dargahi, Abdollah Debela, Sisay Abebe Denova-Gutiérrez, Edgar Desye, Belay Dharmaratne, Samath Dhamminda Diao, Nancy Doan, Linh Phuong Dodangeh, Milad dos Santos, Wendel Mombaque Doshmangir, Leila Dube, John Eini, Ebrahim El Sayed Zaki, Maysaa El Tantawi, Maha Enyew, Daniel Berhanie Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Applied Mathematics University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Nuffield Department of Medicine University of Oxford Oxford United Kingdom Department of Juridical and Economic Studies La Sapienza University Rome Italy Antai College of Economics Shanghai Jiao Tong University Shanghai China Non-communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Multiple Sclerosis Research Center Tehran University of Medical Sciences Tehran Iran Children’s Medical Center Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Tehran Heart Center Tehran University of Medical Sciences Tehran Iran Faculty of Medicine Tehran University of Medical Sciences Tehran Iran National Institute for Health Research Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Department of Cardiology Tehran University of Medical Sciences Tehran Iran Sina Trauma and Surgery Research Center Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Department of Neurology Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Epidemiology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Economics and Statistics Shahid Beheshti University of Medical Sciences Tehran Iran Department of Neurosurgery Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic R

Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic;characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic;and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods: In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings: In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1–9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2–7·4) in 2019;293·7 times the $24·8 billion (95% UI 24·3–25·3) spent by low-income countries in 2019. That same year, $43·1 billion in development assistance was provided

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ECG denoising with adaptive filter and singular value decomposition techniques 9

ECG denoising with adaptive filter and singular value decomp...

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9th International C* Conference on Computer Science and Software engineering, C3S2E 2016

作者： Meireles, António Figueiredo, Lino Lopes, Luís Seabra Almeida, Ana GECAD - Knowledge Engineering and Decision Support Research Center Porto Portugal IEETA - Institute of Electronics and Telematics Engineering of Aveiro Aveiro Portugal

ISBN: (纸本)9781450340755

An electrocardiogram (ECG) system deals with several challenges related with noise sources. The denoising process is a challenge due to ECG signal amplitude with respect to noise amplitude. The filtering process can be executed by analogue filters or digital filters, however, modern systems uses digital filters mainly because their flexibility, efficiency and hardware costs reduction. This paper compares the ability of two digital techniques used in ECG denoising, namely Adaptive Filter (AF) and Singular Value Decomposition (SVD). The techniques were applied to real ECG signals contaminated with the most common noise sources;artefacts caused by electromyography (EMG) and power line noise (Hum). Copyright 2016 ACM.

关键词： Singular value decomposition

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Reconfiguration of Distributed Generation scheduling to increase demand response integration

Reconfiguration of Distributed Generation scheduling to incr...

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International Conference on European Electricity Market, EEM

作者： João Spínola Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision-Support Research Center Porto Portugal

Demand Response integration into an intelligent power system brings the consumers several advantages, not just in terms of lower energy tariffs, but also the benefit of monetary incentives for their participation. In this paper, an aggregator proceeds to perform the resources scheduling in order to reduce operational costs. After the scheduling, three reduction levels are applied to the most expensive producers. The value of reduction made by the producers is then followed by consumer's load decrease, considering their participation in an incentive-based demand response program. The prices applied to consumers depend upon the weighted average of production tariffs by type of resource. The considered network for the case study has 548 distributed generators, 10 external suppliers and 20310 consumers. Results show that the energy price can be reduced by implementing demand resources into the network scheduling, removing the most expensive producers.

关键词： Generators Mathematical model Power systems Linear programming Cogeneration Scheduling

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Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity

Application of a Hybrid Neural Fuzzy Inference System to For...

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International Workshop on Database and Expert Systems Applications

作者： Francisco Silva Brígida Teixeira Nuno Teixeira Tiago Pinto Isabel Praça Zita Vale GECAD Knowledge Engineering and Decision Support Research Center Porto Portugal

ISBN: (纸本)9781509036363

This paper presents a proposal for the use of the Hybrid Fuzzy Inference System algorithm (HyFIS) as solar intensity forecast mechanism. Fuzzy Inference Systems (FIS) are used to solve regression problems in various contexts. The HyFIS is a method based on FIS with the particular advantage of combining fuzzy concepts with Artificial Neural Networks (ANN), thus optimizing the learning process. This algorithm is part of several other FIS algorithms implemented in the Fuzzy Rule-Based Systems (FRBS) package of R. The ANN algorithms and support Vector Machine (SVM), both widely used for solving regression problems, are also used in this study to allow the comparison of results. Results show that HyFIS presents higher performance when compared to the ANN and SVM, when applied to real data of Florianopolis, Brazil, which helps to reinforce the potential of this algorithm in solving the solar intensity forecasting problems.

关键词： Forecasting support vector machines Artificial neural networks Fuzzy logic Training Inference algorithms

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Microgrid demonstration gateway for players communication and load monitoring and management

Microgrid demonstration gateway for players communication an...

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Clemson University Power Systems Conference (PSC)

作者： Luis Gomes Jorge Silva Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP) Porto Portugal

The integration of decentralized generation units and the application of demand response programs brings changes to the power systems. Microgrids are emerging with relevant advantages for the power system operation. For this reason, several research projects are currently studding and finding methods to improve microgrids management. The development of adequate management systems, taking into account relevant retrofitting levels is of upmost importance. This paper presents and describes a gateway to be used in existing buildings in order to enable their integration in systems that are capable of managing microgrids. The gateway can monitor and control loads, generators and other equipment. For the case study the gateways will be installed in three buildings and integrated in SOICAM system able to manage microgrids. The results show the data retrieved by the gateways and sent to the central operation room.

关键词： Logic gates Microgrids Protocols Buildings Transceivers Wireless communication Zigbee

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Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems

Evaluating the effectiveness of Bayesian and Neural Networks...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Bruno Cunha Ana Madureira João Paulo Pereira Ivo Pereira GECAD - Knowledge Engineering and Decision Support Research Center School of Engineering - Polytechnic of Porto (ISEP/IPP) Porto Portugal

The ability to adjust itself to users' profile is imperative in modern system, given that many people interact with a lot of information in different ways. The creation of adaptive systems is a complex domain that requires very specific methods and the integration of several intelligent techniques, from an intelligent systems development perspective. Designing an adaptive system requires planning and training of user modelling techniques combined with existing system components. Based on the architecture for user modelling on Intelligent and Adaptive Scheduling Systems, this paper presents an analysis of using the mentioned architecture to characterize user's behaviours and a case study comparing the employment of different user classifiers. Bayesian and Artificial Neural Networks were selected as the elements of the computational study and this paper presents a description on how to prepare them to deal with user information.

关键词： Adaptation models Human computer interaction Job shop scheduling Artificial neural networks Bayes methods Computational modeling Computers

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