- Kolloq - lists.ibr.cs.tu-bs.de

Vortrag am 08.01.2016, 13:15 Uhr
by Informatik-Kolloquium 05 Jan '16

05 Jan '16

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Moritz Grosse-Wentrup, Max Planck Institute for Intelligent Systems in Tübingen, Germany: Ageing in the age of big data Beginn: 08.01.2016, 13:15 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 8. OG, Raum 812 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2016-01-08-grosse-wentrup.html Kontakt: Prof. Dr. Lars Wolf Our ageing society requires novel approaches to support self-determined lives up to an old age. I argue that big data analysis will take on a prominent role in addressing this challenge. By making use of the unprecedented availability of data on all aspects of human behaviour, medical informatics can, first, monitor and predict disease progression in individual patients, second, identify factors that causally contribute to behavioural deficits, and, third, translate these findings into novel preventative measures and clinical therapies. I illustrate these concepts on the prediction of disease progression from large-scale clinical data in amyotrophic lateral sclerosis (ALS), causal inference on the neural basis of behaviour, brain-computer interfacing for communication with locked-in patients, and brain-controlled robotics for stroke rehabilitation. In combination with advances in wearable sensors and in ubiquitous computing, medical informatics for big data analysis will revolutionise our healthcare system.

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Vortrag am 08.01.2016, 08:30 Uhr
by Informatik-Kolloquium 05 Jan '16

05 Jan '16

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Prof. Bjoern Eskofier, PhD, Digital Sports Group, Friedrich-Alexander-Universität Erlangen-Nürnberg: Ubiquitous Health: Pervasive Computing Systems that Promote Healthy Living and Transform Health Care Beginn: 08.01.2016, 08:30 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 8. OG, Raum 812 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2016-01-08-eskofier.html Kontakt: Prof. Dr. Lars Wolf The fast-growing costs of acute care are pushing the healthcare systems worldwide to a limit. Globally, we are coming to realize that we cannot afford to provide everybody with access to unlimited healthcare services in the light of current demographic changes. An alternative approach is emerging that focuses on “keeping people healthy” through primary and secondary prevention in all phases of life. This paradigm shift in the healthcare systems is demanding research in ambient, sensor-enhanced assistive technologies that “keep people outside of the hospital”. Therefore, a fast-growing interest exists for pervasive computing systems and ambient assistive technology that aim at ubiquitous health support of individuals in the home and community settings. The talk will present several examples for associated research projects in the fields of sports and medicine. A particular example is the miLife research project. In this project, we i) implemented ambient sensors for physiological (ECG, EMG, ...) and biomechanical (accelerometer, gyroscope, ...) data recording, ii) used pervasive computing systems (e.g. in smartphones or smarthomes) for monitoring and signal processing, and iii) employed data base technology, machine learning algorithms, and simulation models in order to provide accurate information to sportsmen, patients, and caregivers in numerous applications that aimed at promoting healthy living and improving health care. The talk will also present further research challenges that exist in the field of pervasive computing systems for ubiquitous health support. Example challenges are the required signal processing and machine learning algorithms that need to be computationally efficient yet sufficiently accurate, but also comprehensive data bases, simulative data analysis and holistic data mining strategies. The outlook of the presentation will focus on future research directions that aim at contributing to the above mentioned paradigm shift in global healthcare systems by the use of pervasive computing systems for ubiquitous health support.

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Vortrag am 08.01.2016, 10:45 Uhr
by Informatik-Kolloquium 05 Jan '16

05 Jan '16

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Prof. Dr. Thomas M. Deserno, né Lehmann, Abteilungsleiter Bild- und Datenmanagement, Institut für Medizinische Informatik, Uniklinik RWTH Aachen: Medizinische Informatik für klinische Studien und Register Beginn: 08.01.2016, 10:45 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 8. OG, Raum 812 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2016-01-08-deserno.html Kontakt: Prof. Dr. Lars Wolf In der medizinischen Routineversorgung sind Informationssysteme (z.B. KIS, PACS) fest etabliert und kommunizieren über adäquate Protokolle (HL7, DICOM). In der von den Ärzten initiierten klinischen Forschung hingegen sind papierbasierte Datenerfassungsblätter (Case Report Form, CRF) immer noch „Stand der Technik“, auch wenn sich in den industriellen Arzneimittelstudien Electronic Data Capture (EDC) Systeme durchgesetzt haben, die elektronische CRFs ermöglichen. Allerdings sind diese Systeme bislang Stand-Alone. Seit 2010 ist das Institut für Medizinische Informatik der RWTH Aachen mit der Entwicklung und Bereitstellung IT-basierter Softwareunterstützung für das Clinical Trial Center Aachen (CTC-A) betraut. Einem modularen Realisierungskonzept folgend wurde zunächst eine Web2.0-basierte Datenbankanwendung zum Controlling klinischer Studien (Clinical Trial Management System, CMTS) entwickelt. Basierend auf diesem Framework sind weitere Anwendungen und mehrere klinische Register für seltene Erkrankungen entstanden. Als EDC System wurde OpenClinica eingebunden. Die Vernetzung der Systeme wurde mit Web-Services realisiert. Der CDISC ODM Standard wurde um einen Präsentations-Layer erweitert, um auch mobile Dateneingaben in die Systeme im Online- und Offline-Betrieb zu ermöglichen. Mittlerweile ist das CTMS zum Kommunikationsserver gewachsen, der z.B. die aktuellen Einschlusszahlen aus den verschiedenen EDC-Subsystemen zusammenführt und dem Nutzer auf dem Smartphone via Single-Sign-On übersichtlich visualisiert. Bild- und Signaldaten werden in einem integrierten Forschungs-PACS anonymisiert abgelegt; die Zuordnung wird über die Studien-Identifyer gewährleistet. Automatische Bild- und Signalanalyse ist integriert und unterstützt Surrogate Endpoints (Quantitative Biomarker). Für die standardisierte Wunddokumentation stehen eine Smartphone-App und patientenindividuelle Kalibrierungskarten bereit. Die Karten werden neben der Wunde platziert. Im digitalen Bild wird die Karte lokalisiert und der Barcode wird ausgelesen. Dann kann das Bild direkt in das PACS-unterstützte Studien-eCRF eingespielt und auf dem Smartphone gelöscht werden. Dies hat erhebliche Vorteile hinsichtlich der Ablauforganisation sowie des Datenschutzes. Die Eintragungen der CTC-A Systeme in das Datenschutz-Verfahrensverzeichnis NRW sind erfolgt.

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Erinnerung: Vortrag am 19.11.2015, 10:00 Uhr
by Informatik-Kolloquium 18 Nov '15

18 Nov '15

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Dimitris G. Giovanis, Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, Greece: A variability response function (VRF)-based adaptive spectral Galerkin stochastic finite element method Beginn: 19.11.2015, 10:00 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 8. OG, Raum 826 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2015-11-19-giovanis.html Kontakt: Prof. Hermann G. Matthies, PhD In this work the concept of variability response function (VRF) is utilized in the framework of Galerkin, spectral stochastic finite element method (SSFEM) in order to achieve an a priori low-cost estimate of the spatial distribution of the statistical second-order error of the response, as a function of the truncation order of the Karhunen-Loève (KL) decomposition. This way the optimal encapsulation of the information contained in the correlation structure of the random input is achieved through a spatial variation of the truncated KL terms. The criterion for selecting the number of KL terms at different parts of the structure is the uniformity of the spatial distribution of the second-order error. As a consequence, an increase of sparsity of the coefficient matrix of the corresponding linear system of equations is achieved, leading to a reduction of the computational cost of the method. This work has been supported by the European Research Council Advanced Grant MASTER - Mastering the computational challenges in numerical modeling and optimum design of CNT reinforced composites (ERC-2011-ADG-20110209).

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Erinnerung: Vortrag am 17.11.2015, 14:00 Uhr
by Informatik-Kolloquium 16 Nov '15

16 Nov '15

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. George Stefanou, Institute of Structural Analysis & Dynamics of Structures, Department of Civil Engineering, Aristotle University of Thessaloniki, Greece: Linking micromechanics-based properties with the stochastic finite element method Beginn: 17.11.2015, 14:00 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 8. OG, Raum 826 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2015-11-17-stefanou.html Kontakt: Prof. Hermann G. Matthies, PhD The linking of microstructure uncertainty with the random variation of material properties at the macroscale is particularly needed in the framework of the stochastic finite element method (SFEM) where arbitrary assumptions are usually made regarding the probability distribution and correlation structure of the macroscopic (effective) mechanical properties. In this work, the linking is efficiently accomplished by exploiting the excellent synergy of the extended finite element method (XFEM) and Monte Carlo simulation for the computation of the effective properties of random two-phase composites. The homogenization is based on Hill's energy condition and involves the generation of a large number of realizations of the microstructure with uncertainty in the geometry (shape, number, spatial distribution and orientation of inclusions) or in the constituent material properties. The mean value, coefficient of variation and probability distribution of the effective elastic modulus and Poisson ratio of the random composite are computed. A comparison of the relative influence of the above two kinds of uncertainty is made. The effective properties are finally used in the framework of SFEM to obtain the response of a composite structure and useful conclusions are derived regarding the effect of random microstructure on the probabilistic characteristics of the response. This work is supported by the European Research Council Advanced Grant ''MASTER-Mastering the computational challenges in numerical modeling and optimum design of CNT reinforced composites'' (ERC-2011-ADG 20110209).

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Vortrag am 19.11.2015, 10:00 Uhr
by Informatik-Kolloquium 16 Nov '15

16 Nov '15

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Dimitris G. Giovanis, Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, Greece: A variability response function (VRF)-based adaptive spectral Galerkin stochastic finite element method Beginn: 19.11.2015, 10:00 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 8. OG, Raum 826 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2015-11-19-giovanis.html Kontakt: Prof. Hermann G. Matthies, PhD In this work the concept of variability response function (VRF) is utilized in the framework of Galerkin, spectral stochastic finite element method (SSFEM) in order to achieve an a priori low-cost estimate of the spatial distribution of the statistical second-order error of the response, as a function of the truncation order of the Karhunen-Loève (KL) decomposition. This way the optimal encapsulation of the information contained in the correlation structure of the random input is achieved through a spatial variation of the truncated KL terms. The criterion for selecting the number of KL terms at different parts of the structure is the uniformity of the spatial distribution of the second-order error. As a consequence, an increase of sparsity of the coefficient matrix of the corresponding linear system of equations is achieved, leading to a reduction of the computational cost of the method. This work has been supported by the European Research Council Advanced Grant MASTER - Mastering the computational challenges in numerical modeling and optimum design of CNT reinforced composites (ERC-2011-ADG-20110209).

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Vortrag am 17.11.2015, 14:00 Uhr
by Informatik-Kolloquium 16 Nov '15

16 Nov '15

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. George Stefanou, Institute of Structural Analysis & Dynamics of Structures, Department of Civil Engineering, Aristotle University of Thessaloniki, Greece: Linking micromechanics-based properties with the stochastic finite element method Beginn: 17.11.2015, 14:00 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 8. OG, Raum 826 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2015-11-17-stefanou.html Kontakt: Prof. Hermann G. Matthies, PhD The linking of microstructure uncertainty with the random variation of material properties at the macroscale is particularly needed in the framework of the stochastic finite element method (SFEM) where arbitrary assumptions are usually made regarding the probability distribution and correlation structure of the macroscopic (effective) mechanical properties. In this work, the linking is efficiently accomplished by exploiting the excellent synergy of the extended finite element method (XFEM) and Monte Carlo simulation for the computation of the effective properties of random two-phase composites. The homogenization is based on Hill's energy condition and involves the generation of a large number of realizations of the microstructure with uncertainty in the geometry (shape, number, spatial distribution and orientation of inclusions) or in the constituent material properties. The mean value, coefficient of variation and probability distribution of the effective elastic modulus and Poisson ratio of the random composite are computed. A comparison of the relative influence of the above two kinds of uncertainty is made. The effective properties are finally used in the framework of SFEM to obtain the response of a composite structure and useful conclusions are derived regarding the effect of random microstructure on the probabilistic characteristics of the response. This work is supported by the European Research Council Advanced Grant ''MASTER-Mastering the computational challenges in numerical modeling and optimum design of CNT reinforced composites'' (ERC-2011-ADG 20110209).

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Erinnerung: Vortrag am 10.11.2015, 16:30 Uhr
by Informatik-Kolloquium 09 Nov '15

09 Nov '15

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Ahmad Dehwah, PhD Candidate in the Electrical Engineering at King Abdullah University of Science and Technology: Energy Aware Routing Schemes in Solar Powered Wireless Sensor Networks for Flash Flood and Traffic Monitoring Applications Beginn: 10.11.2015, 16:30 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 1. OG, Hörsaal M 161 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2015-11-10-dehwah.html Kontakt: Prof. Dr.-Ing. Lars Wolf Wireless sensor networks have enabled the existence of many accurate and inexpensive monitoring systems that could help in saving people lives as well as monitoring the environment. Nevertheless, having a long term operational network is associated with multiple challenges especially for critical and emergency applications. Our focus is on real-time traffic monitoring and flash flood detection system using solar powered wireless sensor networks. As a real-time application, system reliability and energy management is critical to ensure the system operation thus, we consider data routing policies in order to optimize the energy. Motivated by multi-purpose sensor networks, the objective is to find the best network policy that maximizes the minimal energy among nodes in a sensor network, over a finite time horizon, given uncertain energy input forecasts. We first show the derivation of the Mixed Integer Linear Programming (MILP) counterpart for solving the problem in a centralized manner. Then we drive the optimal policy that maximizes our specific problem over some time horizon using forward dynamic programming. Finally, we present a derivation for the proposed greedy policy that is distributed, and exhibits significantly lower complexity with a computational time that outperforms both aforementioned approaches along with the experimental validation.

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Vortrag am 10.11.2015, 16:30 Uhr
by Informatik-Kolloquium 27 Oct '15

27 Oct '15

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Ahmad Dehwah, PhD Candidate in the Electrical Engineering at King Abdullah University of Science and Technology: Energy Aware Routing Schemes in Solar Powered Wireless Sensor Networks for Flash Flood and Traffic Monitoring Applications Beginn: 10.11.2015, 16:30 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 1. OG, Hörsaal M 161 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2015-11-10-dehwah.html Kontakt: Prof. Dr.-Ing. Lars Wolf Wireless sensor networks have enabled the existence of many accurate and inexpensive monitoring systems that could help in saving people lives as well as monitoring the environment. Nevertheless, having a long term operational network is associated with multiple challenges especially for critical and emergency applications. Our focus is on real-time traffic monitoring and flash flood detection system using solar powered wireless sensor networks. As a real-time application, system reliability and energy management is critical to ensure the system operation thus, we consider data routing policies in order to optimize the energy. Motivated by multi-purpose sensor networks, the objective is to find the best network policy that maximizes the minimal energy among nodes in a sensor network, over a finite time horizon, given uncertain energy input forecasts. We first show the derivation of the Mixed Integer Linear Programming (MILP) counterpart for solving the problem in a centralized manner. Then we drive the optimal policy that maximizes our specific problem over some time horizon using forward dynamic programming. Finally, we present a derivation for the proposed greedy policy that is distributed, and exhibits significantly lower complexity with a computational time that outperforms both aforementioned approaches along with the experimental validation.

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Erinnerung: Vortrag am 20.10.2015, 10:00 Uhr
by Informatik-Kolloquium 19 Oct '15

19 Oct '15

Die Dozenten der Informatik-Institute der Technischen Universität Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem Vortrag ein. Dr. Michael Hardegger: The Future of Context-Awareness: How wearables can learn about us and our environment at run-time Beginn: 20.10.2015, 10:00 Uhr Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 1. OG, Hörsaal M 161 Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2015-10-20-hardegger.html Kontakt: Prof. Dr.-Ing. Marcus A. Magnor Existing context-aware wearables typically directly associate signal patterns to a user’s context, without taking into account previous activities or the person’s location. However, such complementary information may influence the significance of a signal pattern, improve the performance in recognizing context, and enable more fine-grained distinction of activities. The challenge is to achieve such state-aware context recognition from wearables only, i.e., without being dependent on pre-installed infrastructure or the training of complex classifiers. In this talk, we introduce the concept of semantic maps as environment representation for context-aware assistants in daily life. Semantic maps describe the location and state of objects, e. g., open windows, running water taps or closed doors. Such maps can be used to infer higher-level activities of an inhabitant, and to constrain his location within the environment. We discuss a Bayesian filter framework that builds such maps from the data of wearables and in return estimates the person’s position within the map, without the need for any pre-installed localization infrastructure. By continuously adding new information to the semantic map, this proposed framework accumulates knowledge about the place in a self-learning manner. We demonstrate the potential of this tool in real-world settings, where we monitor people during their daily life at home, without having to install any infrastructure in the building. Such a system can be deployed efficiently and without professional support. Furthermore, the introduction of semantic maps as state argument in context-awareness is a major step towards advanced monitoring tools and wearable assistants in medicine, sports and daily-life applications. This talk will presents working prototypes, including the first smartphone-based localization system that robustly tracks people over a long time, using motion data only.

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