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Noise subtraction from KAGRA O3GK data using Independent Component Analysis

Classical and Quantum Gravity 2023年第8期40卷 085015-085015页

作者： H Abe T Akutsu M Ando A Araya N Aritomi H Asada Y Aso S Bae Y Bae R Bajpai K Cannon Z Cao E Capocasa M Chan C Chen D Chen K Chen Y Chen C-Y Chiang Y-K Chu S Eguchi M Eisenmann Y Enomoto R Flaminio H K Fong Y Fujii Y Fujikawa Y Fujimoto I Fukunaga D Gao G-G Ge S Ha I P W Hadiputrawan S Haino W-B Han K Hasegawa K Hattori H Hayakawa K Hayama Y Himemoto N Hirata C Hirose T-C Ho B-H Hsieh H-F Hsieh C Hsiung H-Y Huang P Huang Y-C Huang Y-J Huang D C Y Hui S Ide K Inayoshi Y Inoue K Ito Y Itoh C Jeon H-B Jin K Jung P Jung K Kaihotsu T Kajita M Kakizaki M Kamiizumi N Kanda T Kato K Kawaguchi C Kim J Kim J C Kim Y-M Kim N Kimura T Kiyota Y Kobayashi K Kohri K Kokeyama A K H Kong N Koyama C Kozakai J Kume Y Kuromiya S Kuroyanagi K Kwak E Lee H W Lee R Lee M Leonardi K L Li P Li L C -C Lin C-Y Lin E T Lin F-K Lin F-L Lin H L Lin G C Liu L-W Luo M Ma’arif E Majorana Y Michimura N Mio O Miyakawa K Miyo S Miyoki Y Mori S Morisaki N Morisue Y Moriwaki K Nagano K Nakamura H Nakano M Nakano Y Nakayama T Narikawa L Naticchioni L Nguyen Quynh W-T Ni T Nishimoto A Nishizawa S Nozaki Y Obayashi W Ogaki J J Oh K Oh M Ohashi T Ohashi M Ohkawa H Ohta Y Okutani K Oohara S Oshino S Otabe K-C Pan A Parisi J Park F E Pe na Arellano S Saha Y Saito K Sakai T Sawada Y Sekiguchi L Shao Y Shikano H Shimizu K Shimode H Shinkai T Shishido A Shoda K Somiya I Song R Sugimoto J Suresh T Suzuki H Tagoshi H Takahashi R Takahashi S Takano H Takeda M Takeda K Tanaka T Tanaka S Tanioka A Taruya T Tomaru T Tomura L Trozzo T Tsang J-S Tsao S Tsuchida T Tsutsui D Tuyenbayev N Uchikata T Uchiyama A Ueda T Uehara K Ueno G Ueshima T Ushiba M H P M van Putten J Wang T Washimi C Wu H Wu T Yamada K Yamamoto T Yamamoto K Yamashita R Yamazaki Y Yang S Yeh J Yokoyama T Yokozawa T Yoshioka H Yuzurihara S Zeidler M Zhan H Zhang Y Zhao Z-H Zhu The KAGRA Collaboration Graduate School of Science Tokyo Institute of Technology Meguro-ku Tokyo 152-8551 Japan Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo Bunkyo-ku Tokyo 113-0033 Japan Earthquake Research Institute The University of Tokyo Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Gravitational Wave Science Project Hirosaki University Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) Yuseong-gu Daejeon 34141 Republic of Korea National Institute for Mathematical Sciences Yuseong-gu Daejeon 34047 Republic of Korea School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University Beijing 100875 People’s Republic of China Department of Applied Physics Fukuoka University Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy National Tsing Hua University Hsinchu 30013 Taiwan Department of Physics Center for High Energy and High Field Physics National Central University Zhongli District Taoyuan City 32001 Taiwan Department of Physics National Tsing Hua University Hsinchu 30013 Taiwan Institute of Physics Academia Sinica Nankang Taipei 11529 Taiwan Univ. Grenoble Alpes Laboratoire d’Annecy de Physique des Particules (LAPP) Université Savoie M

During April 7–21 2020, KAGRA conducted its first scientific observation in conjunction with the GEO600 detector. The dominant noise sources during this run were found to be suspension control noise in the low-frequency range and acoustic noise in the mid-frequency range. In this study, we show that their contributions in the observational data can be reduced by a signal processing method called independent component analysis (ICA). The model of ICA is extended from that studied in the initial KAGRA data analysis to account for frequency dependence, while the linearity and stationarity of the coupling between the interferometer and the noise sources are still assumed. We identify optimal witness sensors in the application of ICA, leading to successful mitigation of these two dominant contributions. We also analyze the stability of the transfer functions for the entire two weeks of data to investigate the applicability of the proposed subtraction method in gravitational wave searches.

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Overview of KAGRA : Data transfer and management

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Progress of Theoretical and Experimental Physics 2023年第10期2023卷

作者： Akutsu, T Ando, M Arai, K Arai, Y Araki, S Araya, A Aritomi, N Asada, H Aso, Y Bae, S Bae, Y Baiotti, L Bajpai, R Barton, M A Cannon, K Cao, Z Capocasa, E Chan, M Chen, C Chen, K Chen, Y Chiang, C-Y Chu, H Chu, Y-K Eguchi, S Enomoto, Y Flaminio, R Fujii, Y Fujikawa, Y Fukunaga, M Fukushima, M Gao, D Ge, G Ha, S Hagiwara, A Haino, S Han, W-B Hasegawa, K Hattori, K Hayakawa, H Hayama, K Himemoto, Y Hiranuma, Y Hirata, N Hirose, E Hong, Z Hsieh, B Huang, G-Z Huang, H-Y Huang, P Huang, Y-C Huang, Y Hui, D C Y Ide, S Ikenoue, B Imam, S Inayoshi, K Inoue, Y Ioka, K Ito, K Itoh, Y Izumi, K Jeon, C Jin, H-B Jung, K Jung, P Kaihotsu, K Kajita, T Kakizaki, M Kamiizumi, M Kanda, N Kang, G Kawaguchi, K Kawai, N Kawasaki, T Kim, C Kim, J Kim, J C Kim, W S Kim, Y-M Kimura, N Kita, N Kitazawa, H Kobayashi, Y Kojima, Y Kokeyama, K Komori, K Kong, A K H Kotake, K Kozakai, C Kozu, R Kumar, R Kume, J Kuo, C Kuo, H-S Kuromiya, Y Kuroyanagi, S Kusayanagi, K Kwak, K Lee, H K Lee, H W Lee, R Leonardi, M Li, K L Lin, L C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H L Liu, G C Luo, L-W Majorana, E Marchio, M Michimura, Y Mio, N Miyakawa, O Miyamoto, A Miyazaki, Y Miyo, K Miyoki, S Mori, Y Morisaki, S Moriwaki, Y Nagano, K Nagano, S Nakamura, K Nakano, H Nakano, M Nakashima, R Nakayama, Y Narikawa, T Naticchioni, L Negishi, R Quynh, L Nguyen Ni, W-T Nishizawa, A Nozaki, S Obuchi, Y Ogaki, W Oh, J J Oh, K Oh, S H Ohashi, M Ohashi, T Ohishi, N Ohkawa, M Ohta, H Okutani, Y Okutomi, K Oohara, K Ooi, C Oshino, S Otabe, S Pan, K Pang, H Parisi, A Park, J Arellano, F E Peña Pinto, I Sago, N Saito, S Saito, Y Sakai, K Sakai, Y Sakuno, Y Sasaki, Y Sato, S Sato, T Sawada, T Sekiguchi, T Sekiguchi, Y Shao, L Shibagaki, S Shimizu, R Shimoda, T Shimode, K Shinkai, H Shishido, T Shoda, A Somiya, K Son, E J Sotani, H Sugimoto, R Suresh, J Suzuki, T Tagoshi, H Takahashi, H Takahashi, R Takamori, A Takano, S Takeda, H Takeda, M Tanaka, H Tanaka, K Tanaka, T Tanioka, S Martin, E N Tapia San Telada, S Tomaru, T Tomigami, Y Tomura, T Travasso, F Trozzo, L Tsang, T Ts Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Hirosaki University 3 Bunkyo-cho Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University No. 19 Xinjiekou Street Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy Nation

KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.

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Model Predictive control for Wind Turbine Power Boosting

Model Predictive Control for Wind Turbine Power Boosting

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European control Conference

作者： Peter Fogh Odgaard Tobias Gybel Hovgaard Rafael Wiesniewski Automation & Control Department of Electronic Systems Aalborg University Aalborg Denmark. This work was founded by the Vestas Wind Turbine Control program at Aalborg University Vestas Wind Systems a/s Aarhus Denmark

ISBN: (纸本)9781509025923

We consider the operation of a wind turbine with the goal of maximizing the total energy generated while respecting temporary boost commands for the power delivered to the grid and limits on the rotor speed and generator power preceding a boost. Power boosting capability is required of wind turbines in a number of grid codes in order to help stabilize the grid. We transform the problem to one with linear dynamics and convex constraints and implement the optimal control problem in a receding horizon manner. We demonstrate how an intuitive formulation can control the turbine during the boost and the subsequent recovery phase such that the kinetic energy stored in the wind turbine rotor is not to drained to a critical low level. We provide extensive closed-loop tests with an industrial wind turbine simulator.

关键词： Model Predictive control Wind Turbine Power Boosting subsequent

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Parameter estimation in switched systems

Parameter estimation in switched systems

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IEEE Conference on control and Applications, CCA 2015

作者： Bech Borchersen, Anders Larsen, Jesper Abildgaard Wisniewski, Rafael Vattenfall Wind Power A/S Denmark Section for Automation and Control Department of Electronic Systems Aalborg University Aalborg9220 Denmark

ISBN: (纸本)9781479977871

Parameter estimation in switched systems is an interesting topic, since such vital models can be used for modeling a wide range of real life systems controlled by a hysteresis or other switching mechanics. In this work, a model for enabling the extended Kalman filter to estimate the parameters in such a switched hysteresis system is presented and tested. The nonlinear model used in the filter is found by a continuous approximation of the discrete switching function used for describing the switched systems. The proposed filter are tested which shows that the filter is able to estimate all the model parameters, this includes the parameters describing the switching. And since the EKF is a recursive filter the method is suitable for real life implementation, therefore a test on an actual data set from an operational turbine have been used with success to validate that the proposed method is actually applicable for parameter estimation in a real world switched system. © 2015 IEEE.

关键词： Parameter estimation

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Using consultation in student groups to improve development of team work skills amongst more reluctant students 43

Using consultation in student groups to improve development ...

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43rd SEFI Annual Conference 2015, SEFI 2015

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

ISBN: (纸本)9782873520120

Aalborg University has used Problem Based Learning since 1974. Each semester the students make one project in student groups (15 ECTS) supervised by one or two supervisors. The other 15 ECTS of the semester is split into three courses where exercises often are solved together in the students groups to enhance peer learning. From the practice in Aalborg it is know that as freshmen students working in groups often find it difficult to collaborate and to use their full learning potential from being a team. It seems obvious that teambuilding and help to develop team work competences could be very useful for the new teams. This was documented by Professor Kolmos in 1999 [1]. To improve the potential of project work a special course is offered to help the students develop their skills in cooperation, learning and project management (CLP). This course has proven very helpful for most of the engineering students but students from some educations are more reluctant to follow the course and do the exercises than other. Students studying Bachelor in IT (BAIT) has for two years showed less interest in the course than e.g. Software and Computer Science students. The consequences of this are that some BAIT students don?t develop their team work skills and competences to the level that is expected. This has been identified by comparing process analysis that each student group has to write after the first semester to reflect on their skills in team work and come up with ideas to improve their performance in the next project. Each lesson in the CLP course is approximately 50% lecturing and 50% exercises. It was decided to try and activate the students more in the autumn 2014 and to follow up on some of the key exercises. The implementation involved student groups handling in written answers to exercises from two key lessons on group contract and time planning. Then the lecturer visited each group 2 weeks later to discuss the exercises and the lessons learnt by applying the methods i

关键词： Students

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Corrigendum to "Initial assessment of the economic burden of major parasitic helminth infections to the ruminant livestock industry in Europe" [Prev. Vet. Med. 182 (2020) 105103]

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Preventive veterinary medicine 2021年 188卷 105213页

作者： J Charlier L Rinaldi V Musella H W Ploeger C Chartier H Rose Vineer B Hinney G von Samson-Himmelstjerna B Băcescu M Mickiewicz T L Mateus M Martinez-Valladares S Quealy H Azaizeh B Sekovska H Akkari S Petkevicius L Hektoen J Höglund E R Morgan D J Bartley E Claerebout Kreavet H. Mertensstraat 17 9150 Kruibeke Belgium. Electronic address: jcharlier@***. Department of Veterinary Medicine and Animal Production CREMOPAR University of Naples Federico II 80137 Napoli Italy. Department of Health Sciences University of Catanzaro "Magna Græcia" CISVetSUA 88100 Catanzaro Italy. Department of Infectious Diseases and Immunology Clinical Infectiology Division Faculty of Veterinary Medicine Utrecht University Yalelaan 1 3584 CL Utrecht The Netherlands. INRAE Oniris BIOEPAR 44307 Nantes France. Department of Infection Biology and Microbiomes Institute of Infection Veterinary and Ecological Sciences University of Liverpool Leahurst Neston Cheshire CH64 7TE UK. Institute of Parasitology Department of Pathobiology University of Veterinary Medicine Vienna Veterinaerplatz 1 1210 Wien Austria. Freie Universität Berlin Institute for Parasitology and Tropical Veterinary Medicine Robert-von-Ostertag-Str. 7-13 14163 Berlin Germany. Faculty of Veterinary Medicine Spiru Haret University Blv. Basarabia 256 Bucharest Romania. Division of Veterinary Epidemiology and Economics Institute of Veterinary Medicine Warsaw University of Life Sciences Nowoursynowska 159c 02-786 Warsaw Poland. CISAS - Center for Research and Development in Agrifood Systems and Sustainability Escola Superior Agrária Instituto Politécnico de Viana do Castelo Rua Escola Industrial e Comercial Nun'Álvares 4900-347 Viana do Castelo Portugal EpiUnit - Instituto de Saúde Pública da Universidade do Porto Rua das Taipas 135 4050-091 Porto Portugal. Instituto de Ganadería de Montaña (CSIC-Universidad de León) Departamento de Sanidad Animal 24236 Grulleros León Spain. VirtualVet Grenan Upper Kilmacthomas Co. Waterford Ireland. Institute of Applied Research University of Haifa The Galilee Society P.O. Box 437 Shefa-Amr 20200 Israel Tel Hai College Department of Environmental Sciences Upper Galilee 12210 Israel. Faculty of Veterinary Medicine University St. Cyril and Metho

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Health-aware Model Predictive control of Wind Turbines using Fatigue Prognosis

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IFAC-PapersOnLine 2015年第21期48卷 1363-1368页

作者： Sanchez, Hector Escobet, Teresa Puig, Vicenç Odgaard, Peter Fogh Rambla Sant Nebridi 22 Terrassa08222 Spain Department of Electronic Systems Automation and Control Section Aalborg University Fredrik Bajers Vej 7C Aalborg9220 Denmark

Wind turbines components are subject to considerable fatigue due to extreme environmental conditions to which are exposed, especially those located offshore. Interest in the integration of control with fatigue load minimization has increased in recent years. The integration of a system health management module with the control provides a mechanism for the wind turbine to operate safely and optimize the trade-off between components life and energy production. The research presented in this paper explores the integration of model predictive control (MPC) with fatigue-based prognosis approach to minimize the damage of wind turbine components (the blades). The controller objective is modified by adding an extra criterion that takes into account the accumulated damage. The scheme is implemented and tested using a high fidelity simulator of a utility scale wind turbine. © 2015

关键词： Wind turbines

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Fault Diagnosis and Fault Tolerant control with Application on a Wind Turbine Low Speed Shaft Encoder

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IFAC-PapersOnLine 2015年第21期48卷 1357-1362页

作者： Odgaard, Peter Fogh Sanchez, Hector Escobet, Teresa Puig, Vicenç Section of Automation and Control Department of Electronic Systems Aalborg University Fredrik Bajers Vej 7C Aalborg 9220 Denmark Rambla Sant Nebridi 22 Terrassa 08222 Spain

In recent years, individual pitch control has been developed for wind turbines, with the purpose of reducing blade and tower loads. Such algorithms depend on reliable sensor information. The azimuth angle sensor, which positions the wind turbine rotor in its rotation, is quite important. This sensor has to be correct as blade pitch actions should be different at different azimuth angle as the wind speed varies within the rotor field due to different phenomena. A scheme detecting faults in this sensor has previously been designed for the application of a high end fault diagnosis and fault tolerant control of wind turbines using a benchmark model. In this paper, the fault diagnosis scheme is improved and integrated with a fault accommodation scheme which enables and disables the individual pitch algorithm based on the fault detection. In this way, the blade and tower loads are not increased due to individual pitch control algorithm operating with faulty azimuth angle inputs. The proposed approach is evaluated on a wind turbine benchmark model, which is based on the FAST aero-elastic code provided by NREL. © 2015

关键词： Wind turbines

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Author Correction: A consensus protocol for functional connectivity analysis in the rat brain

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Nature neuroscience 2023年 2023 Apr 18页

作者： Joanes Grandjean Gabriel Desrosiers-Gregoire Cynthia Anckaerts Diego Angeles-Valdez Fadi Ayad David A Barrière Ines Blockx Aleksandra Bortel Margaret Broadwater Beatriz M Cardoso Marina Célestine Jorge E Chavez-Negrete Sangcheon Choi Emma Christiaen Perrin Clavijo Luis Colon-Perez Samuel Cramer Tolomeo Daniele Elaine Dempsey Yujian Diao Arno Doelemeyer David Dopfel Lenka Dvořáková Claudia Falfán-Melgoza Francisca F Fernandes Caitlin F Fowler Antonio Fuentes-Ibañez Clément M Garin Eveline Gelderman Carla E M Golden Chao C G Guo Marloes J A G Henckens Lauren A Hennessy Peter Herman Nita Hofwijks Corey Horien Tudor M Ionescu Jolyon Jones Johannes Kaesser Eugene Kim Henriette Lambers Alberto Lazari Sung-Ho Lee Amanda Lillywhite Yikang Liu Yanyan Y Liu Alejandra López-Castro Xavier López-Gil Zilu Ma Eilidh MacNicol Dan Madularu Francesca Mandino Sabina Marciano Matthew J McAuslan Patrick McCunn Alison McIntosh Xianzong Meng Lisa Meyer-Baese Stephan Missault Federico Moro Daphne M P Naessens Laura J Nava-Gomez Hiroi Nonaka Juan J Ortiz Jaakko Paasonen Lore M Peeters Mickaël Pereira Pablo D Perez Marjory Pompilus Malcolm Prior Rustam Rakhmatullin Henning M Reimann Jonathan Reinwald Rodrigo Triana Del Rio Alejandro Rivera-Olvera Daniel Ruiz-Pérez Gabriele Russo Tobias J Rutten Rie Ryoke Markus Sack Piergiorgio Salvan Basavaraju G Sanganahalli Aileen Schroeter Bhedita J Seewoo Erwan Selingue Aline Seuwen Bowen Shi Nikoloz Sirmpilatze Joanna A B Smith Corrie Smith Filip Sobczak Petteri J Stenroos Milou Straathof Sandra Strobelt Akira Sumiyoshi Kengo Takahashi Maria E Torres-García Raul Tudela Monica van den Berg Kajo van der Marel Aran T B van Hout Roberta Vertullo Benjamin Vidal Roël M Vrooman Victora X Wang Isabel Wank David J G Watson Ting Yin Yongzhi Zhang Stefan Zurbruegg Sophie Achard Sarael Alcauter Dorothee P Auer Emmanuel L Barbier Jürgen Baudewig Christian F Beckmann Nicolau Beckmann Guillaume J P C Becq Erwin L A Blezer Radu Bolbos Susann Boretius Sandrine Bouvard Eike Budinger Joseph D Buxbaum Diana Cash Victor Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands. joanes.grandjean@radboudumc.nl. Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands. joanes.grandjean@radboudumc.nl. 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 Cyberneti

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Does language and different educational background influence the learning outcome on international Bachelor educations? 43

Does language and different educational background influence...

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43rd SEFI Annual Conference 2015, SEFI 2015

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

ISBN: (纸本)9782873520120

Aalborg University has used Problem Based Learning since 1974. Each semester the students make one project in student groups (15 ECTS) supervised by one or two supervisors. The other 15 ECTS of the semester issplit into three courses where exercises often are solved together in the students groups to enhance peer learning. In autumn 2014 a new International Bachelor education in Robotics started. It is a interdisciplinary education involving mainly automation, production, electronics and IT. The teachers for the first-year students come from five different departments and have experiences with international students on master level but lack experience with international freshmen. 31 students was enrolled;6 foreign and 25 Danish. The Danish students have no experience with English as the primary language when studying. Each student group makes a process analysis after the first semester. In this analysis, they reflect on their skills for working in project groups and come up with ideas to improve their performance in the next project. Analyzing these process analysis showed that 3 out of 5 groups struggled with problems concerning members of the group not participating in group meetings and supervisor meetings. Comparing these with the process analysis for other kinds of engineering students show that these problems are worse than usual for freshmen students. During the first semester, the supervisors noticed that not all students were fluent in English;this made it difficult for some students to participate fully in the discussions but also in writing and reviewing the project report. A 5 ECTS mandatory course have the goal to help the students develop their skills in cooperation, learning and project management (CLP) and working with problem based projects. The lecturers of this course also noticed the limited English skills among some of the students. They also noticed that in three of the groups the group members was not participating equally in the project work.

关键词： Students

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