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45th Annual Conference of the European Society for Engineering Education, SEFI 2017

作者： Jensen, L.P. Department of Electronic Systems Automation and Control Aalborg University Aalborg Denmark

ISBN: (纸本)9789899887572

Peer learning is a powerful learning resource used in many ways in modern education. At Aalborg University it plays an important part of the PBL concept used since 1974, most important in the Problem based Projects solved in groups, but also in courses where lectures is supported by assignments in groups facilitated by teachers. Aalborg University also offers online part-time master programmes using the PBL principles transformed to online environments where face to interface replaces face to face and courses uses flipped lecture formats instead of transmission based lectures. Participants in these programmes are often very motivated and they follow the flipped instructions and read the suggested material, but do they also use their study group and experience peer learning? This question is investigated in this paper using one semester in the 2-year part-time programme: Master in Problem Based Learning in Engineering and Science. Questions and assignments uploaded by participants is used to analyse the activity from the participants together with recordings from online sessions where teachers answer uploaded questions and calls for discussion with the participants. Questionnaires is used to collect data about how much the study groups are used and if peer learning happens.

关键词： Surveys

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Corrigendum to "Current challenges of hydrothermal treated wastewater (HTWW) for environmental applications and their perspectives: A review" [Environ. Res. 212 Part D (2022) 113532]

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Environmental research 2024年第PT 3期252卷 119005页

作者： Muhammad Usman Zhijian Shi Nalok Dutta Muhammad Awais Ashraf Bushra Ishfaq Mohamed Gamal El-Din Department of Civil and Environmental Engineering University of Alberta Edmonton AB T6G 2W2 Canada Bioproducts Sciences and Engineering Laboratory (BSEL) Washington State University Tri-Cities Richland WA 99354 United States Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) Department of Environmental Science and Engineering Fudan University Shanghai 200433 China Shanghai Technical Service Platform for Pollution Control and Resource Utilization of Organic Wastes Shanghai 200438 China. Electronic address: musman4@ualberta.ca. Shanghai Technical Service Platform for Pollution Control and Resource Utilization of Organic Wastes Shanghai 200438 China. Bioproducts Sciences and Engineering Laboratory (BSEL) Washington State University Tri-Cities Richland WA 99354 United States. State Key Laboratory of Multiphase Complex Systems CAS Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China. Food Technology Section Post-harvest Research Center Ayub Agricultural Research Institute Faisalabad Pakistan. Department of Civil and Environmental Engineering University of Alberta Edmonton AB T6G 2W2 Canada. Electronic address: mgamalel-din@ualberta.ca.

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Optimizing control of Wave Energy Converter with Losses and Fatigue in Power Take off

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IFAC-PapersOnLine 2017年第1期50卷 14680-14685页

作者： Nielsen, Kirsten M. Pedersen, Tom S. Andersen, Palle Ambühl, Simon Department of Electronic Systems Automation and Control Aalborg University AalborgDK-9220 Denmark Department of Civil Engineering Aalborg University AalborgDK-9220 Denmark

In this work we formulate a control strategy for the control of a Wave Energy Converter (WEC) aiming to maximize power take off taking into account losses in the conversion from mechanical to electrical power. The analysis is based on a point absorber. Maximizing electrical power however results in large variations in the forces or torques in the structure implying large fatigue burden giving reduced life time or requirements for increased dimensions of the structure; therefore there is a tradeoff between harvested energy and demands to the construction. We suggest analysis of this involving a Model Predictive control (MPC) strategy. Fatigue is usually assessed using the method of rainflow counting and Miner's rule. This model is difficult to include in an MPC formulation, instead we chose to give torque in the shaft of the power take off a quadratic weight in the performance function and evaluate the fatigue from simulated results. The optimization of power take off relies on a model of losses in the power conversion. For the control we apply an approximated friction model. Simulations are performed using time-series of wave forms representing sea states typical for the intended location of the WEC. A Pareto front illustrates obtained mean power versus necessary dimensions due to fatigue. The results are compared with standard resistive and reactive controllers. The results show that the MPC produces more than 25 % more harvested energy than the reactive control for the same requirements for the dimensions. © 2017

关键词： Wave energy conversion

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To Improve Drilling Efficiency by Multi-objective Optimization of Operational Drilling Parameters in the Complex Geological Drilling Process

To Improve Drilling Efficiency by Multi-objective Optimizati...

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第37届中国控制会议

作者： Chao Gan Weihua Cao Kangzhi Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical and Electronic Engineering Chiba University

Operational drilling parameters optimization is necessary for increase drilling efficiency in complex geological drilling process. There are four key objectives to evaluate the drilling efficiency, including drilling cost, rate of penetration（ROP）, drill bit life, and drill bit’s specific energy. In this paper, we proposed a multi-objective optimization method to improve drilling efficiency in the complex geological drilling process considering all the four key objectives. Firstly, the characteristics of complex geological drilling process and optimization problems are analyzed to find the vital process parameters and problems for drilling efficiency optimization. Then, a multi-objective optimization model which combines the four key objectives is ***, an improved nondominated sorting genetic algorithm（improved NSGA-II） is used to optimize the operational drilling parameters include weight on bit（WOB） and rotational speed（RS） to make drilling efficiency improved. The real case results demonstrate that our method increases the drilling efficiency in four key objectives and saves the simulation time. The proposed method provides the foundation for intelligent optimization control in complex geological drilling process.

关键词： Operational Drilling Parameters Multi-objective Optimization Complex Geological Drilling Process Drilling Efficiency Improved NSGA-II

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Hierarchic neighbors embedding

arXiv

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arXiv 2019年

作者： Liu, Shenglan Yu, Yang Liu, Yang Qiao, Hong Feng, Lin Feng, Jiashi School of Computer Science and Technology Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian Liaoning116024 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore

Manifold learning now plays a very important role in machine learning and many relevant applications. Although its superior performance in dealing with nonlinear data distribution, data sparsity is always a thorny knot. There are few researches to well handle it in manifold learning. In this paper, we propose Hierarchic Neighbors Embedding (HNE), which enhance local connection by the hierarchic combination of neighbors. After further analyzing topological connection and reconstruction performance, three different versions of HNE are given. The experimental results show that our methods work well on both synthetic data and high-dimensional real-world tasks. HNE develops the outstanding advantages in dealing with general data. Furthermore, comparing with other popular manifold learning methods, the performance on sparse samples and weak-connected manifolds is better for HNE. Copyright © 2019, The Authors. All rights reserved.

关键词： Topology

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Propagation of interacting diseases on multilayer networks

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Physical Review E 2018年第1期98卷 012303-012303页

作者： Shenyu Zhou Shuangdie Xu Lin Wang Zhixin Liu Guanrong Chen Xiaofan Wang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Beijing 100190 China Department of Electronic Engineering City University of Hong Kong Hong Kong China

The study on the dynamics of interacting diseases has attracted considerable attention in recent years. This paper proposes a model for two interacting epidemics spreading concurrently on a two-layer network, where both the epidemic thresholds and the dynamics of disease outbreaks are investigated. The analytical expression of the epidemic threshold shows strong coupling between the two interacting epidemics. Moreover, two metrics, the maximum prevalence and the highest spreading speed, are proposed to describe the outbreak process. Theoretical analysis together with extensive simulations illustrate the functions of various factors, including the network topological parameters, percentage of overlapped network links, vulnerable individuals, and the reciprocity of the two diseases. It is found that the seemingly important factor, i.e., the percentage of overlapped links, possesses no effect on the propagation, while the frequently overlooked factor, i.e., the percentage of vulnerable individuals, has significant effects. For the interaction of the two diseases, the recovery state of one disease is more influential than the other in both the mutually enhanced and the mutually impaired situations.

关键词： Network diffusion Network structure Multilayer & multiplex networks Epidemic spreading SIR model

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A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

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NATURE NEUROSCIENCE 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

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Investigations of the Switching Dynamics in Sliding Mode control

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IFAC-PapersOnLine 2017年第1期50卷 710-716页

作者： Simonsen M. Schioler H. Leth J. Department of Electronic Systems Automation and Control Aalborg University Fredrik Bajers Vej 7C Aalborg Øst 9220 Denmark

In this paper, a (switching) sliding mode controller, applied to a mechanical system with additive white process noise, is investigated. The practical relevance of this study is a statistical characterization of system performance in terms of the stationary variance of the control error. The system is modeled with a two-dimensional stochastic differential equation, whose coordinate functions to an extend are analyzed separately. In order to determine the stationary variance of one of the coordinate functions, the auto-correlation function for the other coordinate function is approximated with a Fourier series. Finally, analytical results are compared to results from Euler-Maruyama simulation over a wide range of model parameter settings. © 2017

关键词： Euler-Maruyama simulation Fokker Planck equation Sliding mode Stochastic differential equation Switching dynamics

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Sizing of a sustainable condensation system for the production of sweet water through the use of photovoltaic panels in La Mesa de los Santos, Santander, Colombia

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IOP Conference Series: Materials Science and Engineering 2021年第1期1154卷

作者： B E Tarazona-Romero A-J Rodriguez Nieves C L Sandoval-Rodriguez J G Ascanio-Villabona M-A Duran-Sarmiento A-D Rincon-Quintero Automation and Control Energy Systems Research Group (GISEAC) Faculty of Natural Sciences and Engineering Electromechanical engineering Unidades Tecnologicas de Santander (UTS) Student Street No 9-82 680005 Bucaramanga Colombia Energy in Building research group (ENEDI) Doctoral Program in Energy Efficiency and Sustainability in Engineering and Architecture Department of Machines and Thermal Engines University of the Basque Country (UPV / EHU) Engineer Torres Quevedo Square 1 48013 Bilbao BI Spain Doctoral Program in Electronic and Communications Department of Communications Engineering University of the Basque Country UPV/EHU 48013 Bilbao Spain

The objective of the project is to carry out the dimensioning of a photovoltaic system that allows its integration with a condensation system for the production of fresh water in isolated areas (Rural), in such a way that a sustainable condensation application capable of producing water is generated. sweet to supply small groups of inhabitants in areas where the basic supply of liquid is deficient. The study area is the department of Santander, Colombia, specifically in the Municipality of los Santos and the area known as Mesa de los Santos, in which difficult geographical conditions are presented such as: altitude of 1650 meters above sea level and deficiency in aquifers. The methodological development proposes the analysis of the meteorological conditions of the area, the identification, selection and dimensioning of the condensing system and the photovoltaic system through the amp-hour method and the software system advisor model (SAM). Additionally, a CAD model is developed to obtain the complete schematization of the model and carry out a simulation process to analyze the behavior of the integration of the aforementioned systems. Finally, a techno-economic analysis of the proposed system is carried out.

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Implementation of a prototype water electrolysis system as an alternative to produce hydrogen

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IOP Conference Series: Materials Science and Engineering 2021年第1期1154卷

作者： B E Tarazona-Romero C L Sandoval-Rodriguez J G Ascanio-Villabona A Quintero-Ruiz R E Páez-Castro O A Acosta-Cárdenas Automation and Control Energy Systems Research Group (GISEAC) Faculty of Natural Sciences and Engineering Electromechanical engineering Unidades Tecnologicas de Santander (UTS) Student Street No 9-82 680005 Bucaramanga Colombia Energy in Building research group (ENEDI) Doctoral Program in Energy Efficiency and Sustainability in Engineering and Architecture Department of Machines and Thermal Engines University of the Basque Country (UPV / EHU) Engineer Torres Quevedo Square 1 48013 Bilbao BI Spain Doctoral Program in Electronic and Communications Department of Communications Engineering University of the Basque Country UPV/EHU 48013 Bilbao Spain

The objective of the development of the prototype or scale model of production of hydrogen and oxygen through the electrolysis process of water is to generate an alternative with a sustainable approach, which proposes the supply or source of energy initially with a direct current power source. replaceable in the future by a photovoltaic solar system. For the development of the prototype, it began with the academic compilation of information, then the model was made in CAD, followed by the need to integrate an electronic control system and a mechanical system to obtain the final model, materials were selected and used premises for the development of the two systems, the electronic and physical schematization was carried out, chaired by the assembly and field experimentation. It is important to highlight that the constructed scale model generates hydrogen and oxygen with a low current consumption and a constant voltage, the maximum point of gas generation is the maximum point of energy consumption and its relationship is almost linear.

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