Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein:
Prof. Dr.-Ing. Birgit Vogel-Heuser, Lehrstuhl für Informationstechnik
im Maschinenwesen, TU München:
Anforderungen und Lösungsansätze für das Engineering der
Automatisierungstechnik im Maschinen- und Anlagenbau
Beginn: 01.06.2010, 15:00 Uhr
Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23,
1.OG, Hörsaal M 161
Webseite:
http://www.ibr.cs.tu-bs.de/cal/kolloq/2010-06-01-vogel-heuser.html
Kontakt: Prof. Dr. Ursula Goltz
Die Lebensdauer von Anlagen beträgt in der Regel zehn bis dreißig
Jahre. Die verfügbare Automatisierungshardware aber auch die
Automatisierungssoftware unterliegen z.T. deutlich kürzeren Zyklen. Der
Vortrag erläutert die typischen Anforderungen der Domäne sowie die
spezifischen Engineeringabläufe und zeigt Lösungsansätze für das
systematische Design entlang des Systemlebenszyklus sowie von Anlage zu
Anlage. Es werden verschiedene Modellierungsansätze auf Basis der UML
und der SysML und ihre Vor- und Nachteile insbesondere hinsichtlich der
Anwendbarkeit für Anwendungsentwickler vorgestellt.
Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein:
K. C. Park, Center for Aerospace Structures Department of Aerospace
Engineering Sciences University of Colorado at Boulder, CO, USA:
Paradigm Changes from Analytical to Data-Oriented Engineering Modeling:
Is It a Boon or Menace?
Beginn: 01.06.2010, 13:30 Uhr
Ort: TU Braunschweig, Gauß-IT-Zentrum, Hans-Sommer-Str. 65,
Seminarraum 012
Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2010-06-01-park.html
Kontakt: Prof. Hermann G. Matthies, PhD
Teaching and practice in mechanics have been relying largely
on analytical and mathematical descriptions, such as equilibrium
equations, energy conservation, and constitutive laws, etc. However,
more and more engineering modeling practices are relying on raw data
analysis whose results are often directly utilized in the design of
complex engineering problems. The present talk begins with examples
of analytical modeling practices which occupy a bulk of engineering
teaching and education of mechanics to date. We then introduce examples
of early-day engineering tests/experiments in support of the established
analytical models, which gave rise to data analysis and signal processing
disciplines. With today’s almost unrestricted computing capabilities,
however, we are very much tempted to the direct utilization of processed
data and identified system parameters with the economy and convenience
of skipping the laborious analytical model construction stages. Clearly
something is in the offing in engineering modeling practice, which I
would call “Paradigm Changes in Engineering Modeling,” that welcomes
as well as alarms us. This talk presents the author’s view (and some
experience) of changes in engineering modeling practices, drawn mainly
from engineering mechanics discipline.
Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein:
Prof. Dr.-Ing. Birgit Vogel-Heuser, Lehrstuhl für Informationstechnik
im Maschinenwesen, TU München:
Anforderungen und Lösungsansätze für das Engineering der
Automatisierungstechnik im Maschinen- und Anlagenbau
Beginn: 01.06.2010, 15:00 Uhr
Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23,
1.OG, Hörsaal M 161
Webseite:
http://www.ibr.cs.tu-bs.de/cal/kolloq/2010-06-01-vogel-heuser.html
Kontakt: Prof. Dr. Ursula Goltz
Die Lebensdauer von Anlagen beträgt in der Regel zehn bis dreißig
Jahre. Die verfügbare Automatisierungshardware aber auch die
Automatisierungssoftware unterliegen z.T. deutlich kürzeren Zyklen. Der
Vortrag erläutert die typischen Anforderungen der Domäne sowie die
spezifischen Engineeringabläufe und zeigt Lösungsansätze für das
systematische Design entlang des Systemlebenszyklus sowie von Anlage zu
Anlage. Es werden verschiedene Modellierungsansätze auf Basis der UML
und der SysML und ihre Vor- und Nachteile insbesondere hinsichtlich der
Anwendbarkeit für Anwendungsentwickler vorgestellt.
Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein:
K. C. Park, Center for Aerospace Structures Department of Aerospace
Engineering Sciences University of Colorado at Boulder, CO, USA:
Paradigm Changes from Analytical to Data-Oriented Engineering Modeling:
Is It a Boon or Menace?
Beginn: 01.06.2010, 13:30 Uhr
Ort: TU Braunschweig, Gauß-IT-Zentrum, Hans-Sommer-Str. 65,
Seminarraum 012
Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2010-06-01-park.html
Kontakt: Prof. Hermann G. Matthies, PhD
Teaching and practice in mechanics have been relying largely
on analytical and mathematical descriptions, such as equilibrium
equations, energy conservation, and constitutive laws, etc. However,
more and more engineering modeling practices are relying on raw data
analysis whose results are often directly utilized in the design of
complex engineering problems. The present talk begins with examples
of analytical modeling practices which occupy a bulk of engineering
teaching and education of mechanics to date. We then introduce examples
of early-day engineering tests/experiments in support of the established
analytical models, which gave rise to data analysis and signal processing
disciplines. With today’s almost unrestricted computing capabilities,
however, we are very much tempted to the direct utilization of processed
data and identified system parameters with the economy and convenience
of skipping the laborious analytical model construction stages. Clearly
something is in the offing in engineering modeling practice, which I
would call “Paradigm Changes in Engineering Modeling,” that welcomes
as well as alarms us. This talk presents the author’s view (and some
experience) of changes in engineering modeling practices, drawn mainly
from engineering mechanics discipline.
Die Uhrzeit in der ersten Ankuendigung war falsch.
Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein:
Goetz Graefe:
Adaptive Indexing
Beginn: 17.06.2010, 17:30 Uhr
Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23,
1. OG, Hörsaal M 160
Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2010-06-17-graefe.html
Kontakt: Prof. Dr. Wolf-Tilo Balke
In a relational data warehouse with many tables, the number of possible
and promising indexes exceeds human comprehension and requires automatic
index tuning. While monitoring and reactive index tuning have been
proposed, adaptive indexing focuses on adapting the physical data-base
layout for and by actual queries.
"Database cracking" is one such technique. Only if and when a column
is used in query predicates, an index for the column is created;
and only if and when a key range is queried, the index is optimized
for this key range. The effect is akin to a sort that is adaptive and
incremental. This sort is, however, very inefficient, particularly when
applied on block-access devices. In contrast, traditional index creation
sorts data with an efficient merge sort optimized for block-access
devices, but it is neither adaptive nor incremental.
We propose adaptive merging, an adaptive, incremental, and efficient
technique for index creation. Index optimization focuses on key ranges
used in actual queries. The resulting index adapts more quickly to new
data and to new query patterns than database cracking. Sort efficiency
is comparable to that of traditional B-tree creation. Nonetheless, the
new technique promises better query performance than database cracking,
both in memory and on block-access storage.
Bio
Goetz Graefe is a member of the Intelligent Information Management Lab
within Hewlett-Packard Laboratories. His experience and expertise are
focused on relational database management systems, gained in academic
research, industrial consulting, and industrial product development.
His current research efforts focus on new hardware technologies
in database management as well as robustness in database request
processing in order to reduce total cost of ownership. Prior to joining
Hewlett-Packard Laboratories in 2006, Goetz spent 12 years as software
architect in product development at Microsoft, mostly in database
management. Both query optimization and query execution of Microsoft's
re-implementation of SQL Server are based on his designs.
Goetz's areas of expertise within database management systems include
compile-time query optimization including extensible query optimization,
run-time query execution including parallel query execution, indexing,
and transactions. He has also worked on transactional memory, specifically
techniques for software implementations of transactional memory.
Goetz studied Computer Science at TU Braunschweig from 1980 to 1983.
Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein:
Goetz Graefe:
Adaptive Indexing
Beginn: 17.06.2010, 17:00 Uhr
Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23,
1. OG, Hörsaal M 160
Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2010-06-17-graefe.html
Kontakt: Prof. Dr. Wolf-Tilo Balke
In a relational data warehouse with many tables, the number of possible
and promising indexes exceeds human comprehension and requires automatic
index tuning. While monitoring and reactive index tuning have been
proposed, adaptive indexing focuses on adapting the physical data-base
layout for and by actual queries.
"Database cracking" is one such technique. Only if and when a column
is used in query predicates, an index for the column is created;
and only if and when a key range is queried, the index is optimized
for this key range. The effect is akin to a sort that is adaptive and
incremental. This sort is, however, very inefficient, particularly when
applied on block-access devices. In contrast, traditional index creation
sorts data with an efficient merge sort optimized for block-access
devices, but it is neither adaptive nor incremental.
We propose adaptive merging, an adaptive, incremental, and efficient
technique for index creation. Index optimization focuses on key ranges
used in actual queries. The resulting index adapts more quickly to new
data and to new query patterns than database cracking. Sort efficiency
is comparable to that of traditional B-tree creation. Nonetheless, the
new technique promises better query performance than database cracking,
both in memory and on block-access storage.
Bio
Goetz Graefe is a member of the Intelligent Information Management Lab
within Hewlett-Packard Laboratories. His experience and expertise are
focused on relational database management systems, gained in academic
research, industrial consulting, and industrial product development.
His current research efforts focus on new hardware technologies
in database management as well as robustness in database request
processing in order to reduce total cost of ownership. Prior to joining
Hewlett-Packard Laboratories in 2006, Goetz spent 12 years as software
architect in product development at Microsoft, mostly in database
management. Both query optimization and query execution of Microsoft's
re-implementation of SQL Server are based on his designs.
Goetz's areas of expertise within database management systems include
compile-time query optimization including extensible query optimization,
run-time query execution including parallel query execution, indexing,
and transactions. He has also worked on transactional memory, specifically
techniques for software implementations of transactional memory.
Goetz studied Computer Science at TU Braunschweig from 1980 to 1983.
Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein:
Anna Kučerová, Czech Technical University in Prague:
Uncertainty Updating in the Description of Nonlinear Heat Transfer
Beginn: 03.06.2010, 10:30 Uhr
Ort: TU Braunschweig, Gauß-IT-Zentrum, Hans-Sommer-Str. 65,
Seminarraum 012
Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2010-06-03-kucerova.html
Kontakt: Prof. Hermann G. Matthies, PhD
There are many important factors limiting the service life of
buildings. An appropriate reliability analysis needs to take into account
uncertainties in the environmental conditions as well as in structural
properties. Thanks to the growth of powerful computing resources and
technology, recently developed procedures in the field of stochastic
mechanics have become applicable to realistic engineering systems. The
presented contribution is focused on the mod- elling of uncertainties in
material properties and investigates the influence of such uncertainties
on structural response. Particularly, the material property is described
by random field which enables description of material heterogeneity. The
uncertainty in material is then propagated through the numerical model
within the framework of spectral stochastic finite element method and
as a result we obtain the probabilistic description of the structural
response. Moreover, once the structure is built new experiments should
be performed to update the knowledge about the actual state of the
structure. These experiments are often expensive, but the obtained data
can be used to decide about an appropriate reconstruction which can
significantly extend the lifetime of building and consequently save
money. Therefore, we apply Bayesian inference to update our knowledge
about the material property of interest. In this contribution, we examine
the application of the described methodology to the case of non-linear
heat transfer.
