Brain Computer Interfacing
Skrifað af tpr | June 4, 2010
Þriðjudaginn 8. júní kl. 10:30 í stofu 157, í byggingu VRII, Háskóla Íslands heldur Dr. Klaus-Robert Muller, professor í vélrænum lærdómi við Tækniháskólanum í Berlin fyrirlestur um “Brain Computer Interfacing”.
Dr. Klaus-Robert Müller, Professor for machine learning at Technical University of Berlin and department head IDA group at FhG FIRST
http://www.ml.tu-berlin.de/menue/mitglieder/klaus-robert_mueller/
Brain Computer Interfacing (BCI) – a modern instantiation of Neurotechnology – aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This talk will first provide a brief overview of Brain Computer Interfaces from a machine learning and signal processing perspective. In particular it shows the wealth, the complexity and the difficulties of the data available, a truely enormous challenge: In real-time a multi-variate very strongly noise contaminated data stream is to be processed and neuroelectric activities are to be accurately decoded in real time. Emphasis is put on a novel computational method for alleviating non-stationarity in data, namely stationary subspace analysis (SSA). Finally, I report in more detail about the Berlin Brain Computer Interface (BBCI) that is based on EEG signals and take the audience all the way from the measured signal, the preprocessing and filtering, the classification to the respective application. BCI as a new channel for man-machine communication is discussed in a clinical setting and for gaming.
This is joint work with Benjamin Blankertz, Michael Tangermann, Claudia Sanelli, Carmen Vidaurre, Thorsten Dickhaus, Steven Lemm, Paul von Bünau, Frank Meinecke, Wojciech Wojcikiewicz (TU Berlin), Guido Nolte, Andreas Ziehe, (Fraunhofer FIRST, Berlin) Gabriel Curio, Vadim Nikulin (Charite, Berlin) and further members of the Berlin Brain Computer Interface team, see www.bbci.de.
Flokkur: Óflokkað | 1 Ummæli »
Dr. Manos Tentzeris, the IEEE Distinguished Microwave Lecturer
Skrifað af karl | May 19, 2010
Abstract: In this talk, inkjet-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g.LCP) substrates are introduced as a system-level solution for ultra-low-cost mass production of UHF Radio Frequency Identification (RFID) Tags and Wireless Sensor Nodes (WSN) in an approach that could be easily extended to other microwave and wireless applications. The talk will cover examples from UHF up to the millimeter-wave frequency ranges. A compact inkjet-printed UHF “passive-RFID” antenna using the classic T-match approach and designed to match IC’s complex impedance, is presented as a the first demonstrating prototype for this technology. Then, Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 2D sensor integration with an RFID tag module on paper, as well as numerous 3D multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced cognitive intelligence and “rugged” packaging. Prof. Tentzeris will discuss issues concerning the power sources of “near-perpetual” RF modules, including flexible minaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g.CNT) sensors on paper and organic substrates. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly (”green”) RF electronics and “smart-skin’ conformal sensors.
Biographical information: Professor Manos M. Tentzeris received the Diploma Degree in Electrical and Computer Engineering from the National Technical University of Athens (”Magna Cum Laude”) in Greece and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor, MI and he is currently a Professor with School of ECE, Georgia Tech, Atlanta, GA. He has published more than 320 papers in refereed Journals and Conference Proceedings, 3 books and 17 book chapters. Dr. Tentzeris has helped develop academic programs in Highly Integrated/Multilayer Packaging for RF and Wireless Applications using ceramic and organic flexible materials, paper-based RFID’s and sensors, Microwave MEM’s, SOP-integrated (UWB, mutliband, conformal) antennas and Adaptive Numerical Electromagnetics (FDTD, MultiResolution Algorithms) and heads the ATHENA research group (20 researchers). He is the Georgia Electronic Design Center Associate Director for RFID/Sensors research, and he has been the Georgia Tech NSF-Packaging Research Center Associate Director for RF Research and the RF Alliance Leader from 2003-2006. He was the recipient/co-recipient of the 2009 E.T.S.Walton Award from the Irish Science Foundation, the 2007 IEEE APS Symposium Best Student Paper Award, the 2007 IEEE IMS Third Best Student Paper Award, the 2007 ISAP 2007 Poster Presentation Award, the 2006 IEEE MTT Outstanding Young Engineer Award, the 2006 Asian-Pacific Microwave Conference Award, the 2004 IEEE Transactions on Advanced Packaging Commendable Paper Award, the 2003 NASA Godfrey “Art” Anzic Collaborative Distinguished Publication Award, the 2003 IBC International Educator of the Year Award, the 2003 IEEE CPMT Outstanding Young Engineer Award, the 2002 International Conference on Microwave and Millimeter-Wave Technology Best Paper Award (Beijing, CHINA), the 2002 Georgia Tech-ECE Outstanding Junior Faculty Award, the 2001 ACES Conference Best Paper Award and the 2000 NSF CAREER Award and the 1997 Best Paper Award of the International Hybrid Microelectronics and Packaging Society. He was the TPC Chair for IEEE IMS 2008 Symposium and the Chair of the 2005 IEEE CEM-TD Workshop and he is the Vice-Chair of the RF Technical Committee (TC16) of the IEEE CPMT Society. He is the founder and chair of the RFID Technical Committee (TC24) of the IEEE MTT Society and the Secretary/Treasurer of the IEEE C-RFID. He has organized various sessions and workshops on RF/Wireless Packaging and Integration, RFID’s, Numerical Techniques/Wavelets, in IEEE ECTC, IMS, VTC and APS Symposia in all of which he is a member of the Technical Program Committee in the area of “Components and RF”. He is the Associate Editor of IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Advanced Packaging and International Journal on Antennas and Propagation. Dr.Tentzeris was a Visiting Professor with the Technical University of Munich, Germany for the summer of 2002, where he introduced a course in the area of High-Frequency Packaging. He has given more than 80 invited talks in the same area to various universities and companies in Europe, Asia and America. He is a Senior Member of IEEE, a member of URSI-Commission D, a member of MTT-15 committee, an Associate Member of EuMA, a Fellow of the Electromagnetic Academy and a member of the Technical Chamber of Greece.
Prof. Tentzeris will be the IEEE MTT-S Distinguished Microwave Lecturer from 2010-2012.
Flokkur: Óflokkað | 2 Ummæli »
International Workshop on Advances in Modeling and Optimization of High Frequency Structures, Reykjavik 2010
Skrifað af karl | May 19, 2010
A two-day workshop on modeling and optimization of high frequency structures will be held at the Reykjavik University, Iceland, in August 21-22, 2010. The focus is state of the art of the computer-aided modeling and design of microwave and millimeter-wave circuits.
The workshop topics include but are not limited to:
• High-frequency electromagnetic simulation
• Surrogate-based optimization methods and space mapping
• Knowledge-based design and tuning methodologies
• Automated design optimization using electromagnetic simulators
• Inverse problems in electromagnetic
• Approximation, interpolation and response surface methodologies
• Applications of adjoint sensitivity for EM-driven optimization
• Artificial neural network modeling of devices and systems
• Software architectures for optimization-oriented design
• Co-simulation and related approaches
• Bioelectromagnetism
• CAD of photonic devices
The list of confirmed speakers include researchers from leading groups working on microwave/RF CAD as well as representatives of major microwave software manufacturers (CST AG, Sonnet Software Inc., EM Software and Systems Inc.).
Prospective participants/speakers are encouraged to contact organizers (Slawomir Koziel and/or Mohamed Bakr, see contact information below). More information about the workshop can be found on the official workshop website at http://ru.is/kennarar/koziel/Workshop_Reykjavik_2010.html
Workshop Chairs:
Slawomir Koziel
Engineering Optimization & Modeling Center
School of Science and Engineering
Reykjavik University
Menntavegur 1
109 Reykjavik, Iceland
E-mail: koziel@ru.is
Mohamed Bakr
Department of Electrical and Computer Eng.
McMaster University
1280 Main Street West
Hamilton, Ontario
Canada L8S 4K1
E-mail: mbakr@mail.ece.mcmaster.ca
Flokkur: Óflokkað | 1 Ummæli »
Rafmagnsverkfræðingur ársins 2009 — sameiginleg viðurkenning VFI og IEEE
Skrifað af karl | May 12, 2010
Sameiginleg viðurkenning Verkfræðingafélags Íslands og IEEE, alþjóðlegs félags rafmagnsverkfræðinga sem er með um 395 þúsund félagsmenn í yfir 150 löndum, verður veitt við hátíðlega athöfn í húsakynnum VFÍ að Engjateig 9 Föstudaginn 14. maí 2010 kl. 17:00.
Markmiðið viðurkenningarinnar er m.a. að vekja athygli á árangri rafmagnsverkfræðinga í starfi og afrekum þeirra sem vert er að halda á lofti. Viðurkenningin er veitt þeim rafmagnsverkfræðingi sem hverju sinni þykir hafa skarað fram úr í störfum sínum á sviði rafmagnsverkfræði eða fyrir íslenskt samfélag. Auglýst var eftir tilnefningum og voru skilyrði þau að viðkomandi væri Íslendingur eða starfandi á Íslandi. Sameiginleg dómnefnd VFÍ og IEEE á Íslandi valdi síðan viðurkenningarhafa úr 6 tilnefningum.
Í tilefni af viðurkenningarafhendingunni kemur hingað til lands fulltrúi IEEE, Brian Harrington gjaldkeri IEEE á svæði 8, þ.e. Evrópa, Afríka og Mið-Austurlönd.
Boðið verður upp á léttar veitingar.
Flokkur: Óflokkað | 1 Ummæli »
IEEE fyrirlestur: Rauntíma háhraðamyndataka með aðstoð tölvusjónar við rannsóknir á ávaxtaflugum
Skrifað af mou | April 6, 2010
Fimmtudaginn 8. apríl kl. 16:00 í stofu 157, í byggingu VRII, Háskóla Íslands heldur Egill Tómasson fyrirlestur sem nefnist Rauntíma háhraðamyndataka með aðstoð tölvusjónar við rannsóknir á ávaxtaflugum.
Egill er nemi á þriðja ári við Rafmagns- og tölvuverkfræðideild HÍ. Fyrirlesturinn er um rannsóknir sem Egill stundaði við California Institude of Technology (CalTech) sumarið 2009. Hann var einn af þremur nemendum Háskóla Íslands sem tóku þátt í SURF (summer undergraduate research fellowship) við skólann og vann á lífverkfræðirannsóknarstofu undir leiðsögn Dr. Michael Dickinson.
Flokkur: Óflokkað | 2 Ummæli »
IEEE — VFI
Skrifað af karl | March 9, 2010
Rafmagnsverkfræðingur ársins 2009 – kallað eftir tilnefningum
Verkfræðingafélag Íslands (VFÍ) og Institute of Electrical and Electronics Engineers (IEEE) veita sameiginlega viðurkenningu, sem veitt er þeim rafmagnsverkfræðingi sem þykir skara fram úr í störfum sínum hverju sinni – á sviði rafmagnsverkfræði eða hefur haft mikil áhrif á íslenskt samfélag.
Viðurkenningin er veitt annað hvert ár og nú er í þriðja sinn kallað eftir tilnefningum. Þeir sem tilnefndir eru þurfa ekki að vera félagsmenn í VFÍ eða IEEE, en þeir skulu að öllu jöfnu vera Íslendingar eða starfandi á Íslandi og búsettir á Íslandi síðastliðin þrjú ár.
Tilnefningar skulu sendar eigi síðar en 12. mars n.k. til skrifstofu VFÍ:
Verkfræðingafélag Íslands
Engateigi 9
105 Reykjavík
Sími: 535-9300
Símbréf: 535-9311
Netfang: skrifstofa@verktaekni.is
Sameiginlegar nefndir VFÍ og IEEE á Íslandi annast umsjón viðurkenningarinnar. Val þess sem hana hlýtur verður tilkynnt 14. maí n.k. Hér er tækifæri til þess að veita viðurkenningu í okkar hópi fyrir framúrskarandi störf tengd rafmagnsverkfræði eða framlag til samfélagsins.
Flokkur: Óflokkað | Engin ummæli »
IEEE fyrirlestur: Neural networks for classification and change detection
Skrifað af mou | October 21, 2009
Þriðjudaginn 27 október klukkan 16:40 í stofu 158 í VR II, Háskóla Íslands mun Dr. Prashanth Reddy Marpu frá Háskólanum í Pavia á Ítalíu halda fyrirlestur sem nefnist Neural networks for classification and change detection. Fyrirlesturinn verður fluttur á ensku.
Útdráttur/abstract
Feed forward neural networks are well established in several fields of science for regression and classfication applications. However, in most cases, a poor choice of the training algorithm has been the biggest hindrance for utilizing the complete potential of neural networks. Traditionally, backpropogation
algorithm is used to train the neural networks. It is notoriously slow and has the problem that it can converge at the local minima of the cost function. This talk will focus on applications of neural networks in remote sensing image analysis with an emphasis on the results of two advanced training algorithms namely, scaled conjugate gradients and Kalman filter which do not converge at the local minima. Also, neural networks can approximate any functional continuous mapping from one finite dimensional space to another. So, neural network regression can be used for normalization of multi-temporal images even if the pixel intensities have non-linear variations. A new method
for automatic change detection using iterative neural network regression will be presented.
Flokkur: Óflokkað | Engin ummæli »
IEEE fyrirlestur: Advances in Spectral-Spatial Classification of Hyperspectral Imagery
Skrifað af mou | October 21, 2009
Mánudaginn 26 október klukkan 16:40 í stofu 157 í VR II, Háskóla Íslands mun Yuliya Tarabalka halda fyrirlestur sem nefnist Advances in Spectral-Spatial Classification of Hyperspectral Imagery. Fyrirlesturinn verður fluttur á ensku.
Útdráttur/abstract:
Hyperspectral imaging provides rich spectral information for every
pixel in a particular scene, hence increasing the ability to
distinguish physical structures in the scene. However, a large number
of spectral channels presents challenges for image classification.
While pixel-wise classification techniques process each pixel
independently without considering information about spatial
structures, further improvements can be achieved by the incorporation
of spatial information in a classifier, especially in areas where
structural information is important to distinguish between classes.
In the talk, novel strategies for spectral-spatial classification of
hyperspectral images are introduced. One of the recently proposed
approaches consists of performing image segmentation in order to use
every region from the segmentation map as an adaptive spatial
neighborhood for all the pixels within this region. Furthermore, this
spatial information must be combined with the available spectral
information with a classifier. A simple approach leading to good
classification performances consists of performing pixel-wise
classification and segmentation independently, and then assigning all
the pixels of every region to the majority class within this region
(majority vote rule). A Support Vectors Machine (SVM) classifier has
shown to be very suitable for classification of hyperspectral data.
Therefore, the SVM can be used as a pixel-wise classifier in the
described spectral-spatial classification scheme.
In the talk we also concentrate on approaches to reduce
oversegmentation in an image, which is achieved by introducing
“markers” in the segmentation procedure. We propose to perform a
probabilistic pixel-wise classification first, in order to choose the
most reliable pixels as markers of spatial regions. Furthermore,
marker-controlled region growing is performed, using either watershed
or Minimum Spanning Forest methods. The developed
techniques significantly decrease oversegmentation, improve
classification accuracies and provide classification maps with more
homogeneous regions, when compared to previously proposed
classification methods.
—–
Yuliya Tarabalka is a Phd candidate at Faculty of Electrical and Computer Engineering, University of Iceland, and Gipsa-Lab, Grenoble Institute of Technology, France.
Flokkur: Óflokkað | Engin ummæli »
IEEE fyrirlestur: Ný úthljóðsmyndtækni til greiningar á hjartasjúkdómum
Skrifað af mou | September 24, 2009
Mánudaginn 28 september klukkan 12:20-13:20 í stofu 158 í VR II, Háskóla Íslands mun dr. Ragnar Ólafsson halda fyrirlestur sem nefnist Ný úthljóðsmyndtækni til greiningar á hjartasjúkdómum.
Útdráttur:
Úthljóðsmyndtækni (e. ultrasound) er víða notuð við greiningu á hjartasjúkdómum. Kostir hennar eru góð upplausn, há rammatíðni, lágur kostnaður og að hún er skaðlaus. Hún hefur hins vegar léleg birtuskil (e. contrast) sem veldur því að túlkun úthljóðsmynda krefst töluverðrar reynslu. Rannsóknir Ragnars hafa miðast að því að þróa nýjar aðferðir sem aukið geta birtuskil í úthljóðsmyndum og þar af leiðandi bætt greiningu hjartasjúkdóma. Hann hefur annars vegar unnið að þróun svokallaðrar “ultrasound current source density imaging” (UCSDI) og hins vegar ljóshljóðstækni (e. photoacoustics). UCSDI byggir á rafhljóðshrifum (e. acousto-electric effect) og getur kortlagt rafsvið með hárri upplausn sem afmarkast af brennidepli úthljóðsgeislans. Í þessum fyrirlestri verður UCSDI tækninni lýst og beitingu hennar til þess að nema virkjunarstrauma hjartans. Í ljóshljóðstækni er leysigeislapúlsi beint inn í líkamann. Leysigeislinn snökkhitar líkamsvefina sem þenjast út snarlega og senda frá sér hljóðbylgju. Þeim mun dekkri sem vefirnir eru því sterkari er hljóðbylgjan. Með þessarri tækni fást úthljóðsmyndir sem lýsa ljósgleypni vefjarins. Hér verða ljóshljóðsmyndir teknar með klínískri úthljóðsvél sýndar og beitingu tækninnar til þess að rekja skuggaefni (e. contrast agent) í hjartavöðva lýst.
Ragnar Ólafsson hlaut B.S. gráðu í rafmagnsverkfræði frá Háskóla Íslands 2002. Árið 2002 hlaut hann Fulbright styrk til þess að stunda framhaldsnám í heilbrigðisverkfræði (e. biomedical engineering) við University of Michigan í Ann Arbor, Michigan, þar sem hann lauk doktorsprófi árið 2008. Hann vinnur fyrir Dr. Russell Witte í Department of Radiology við University of Arizona. Rannsóknasvið Ragnars eru myndun lífrafsviðs (e. biopotentials) með úthljóðsmyndtækni (e. ultrasound) og beitingu ljóshljóðsmyndtækni (e. photoacoustics) á hjartasjúkdóma.
Flokkur: Óflokkað | Engin ummæli »
IEEE fyrirlestur: Computer architecture, past present and future
Skrifað af mou | September 17, 2009
Miðvikudaginn 23. september, klukkan 17 í stofu 101 í Odda mun dr. Frank Soltis halda fyrirlestur sem nefnist Computer architecture, past present and future.
Fyrirlesturinn er á ensku.
Abstract:
The lecture will cover the history, the current state, and the future of computer design. A special emphasis will be on the Power Architecture.
——
Dr. Frank Soltis, who recently retired from his chief scientist job at
IBM, is widely regarded at the father of the AS/400 computer system. He is
the creator of the technology-independent architecture that led to a
totally new breed of business computers, including the AS/400 and the
IBM i.
He also led the effort within IBM to define the architecture of the 64-bit
Power processors and was instrumental in moving IBM to the converged
Power Systems. The architecture that he and his team created is today used in
POWER4, POWER5, POWER6 and soon POWER7 processors.
Flokkur: Óflokkað | Engin ummæli »
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