25 sebastian labitzke
SVEN J. KÖRNER
Tim KreuTzmann
Geometric reGularization in Bioluminescence tomoGraphy
tim Kreutzmann
SVEN J. KÖRNER
Geometric reGularization in Bioluminescence tomoGraphy
enterPrise identity mAnAgement And online sociAl networks
TZUNG TERSTÜ NG ZEUGUN – WERK ERHEBU RECAA ERUNGS ANFORD IN DER
Sven Körner
Tim Kreutzmann
Sebastian Labitzke
RECAA – Werkzeugunterstützung in der Anforderungserhebung
Geometric Regularization in Bioluminescence Tomography
Avoiding Unintended Flows of Personally Identifiable Information Enterprise Identity Management and Online Social Networks
Natürliche Sprache ist das Hauptvehikel um Anforderungen in der Softwareentwicklung zu transportieren. Sie ist allgegenwärtig. Bis heute ist die Anforderungserhebung (Requirements Engineering) der erste und wesentliche Teil der Softwareentwicklung und hauptsächlich manuell. Diese Prozesse sind fehleranfällig hängen stark von den Fähigkeiten des Anforderungsanalysten ab. Ziel dieser Arbeit war es, Teile der bisher rein manuellen Arbeitsschritte mit Softwarewerkzeugen zu automatisieren.
Bioluminescence tomography is a recent biomedical imaging technique which allows to study molecular and cellular activities in vivo. From a mathematical point of view, it is an ill-posed inverse source problem: the location and the intensity of a photon source inside an organism have to be determined, given the photon count on the organism’s surface. To face the ill-posedness of this problem, a geometric regularization approach is introduced, analyzed and numerically verified in this book.
This work addresses potentially occurring unintended flows of personally identifiable information (PII) within two fields of research, i.e., enterprise identity management and online social networks. For that, we investigate which pieces of PII can how often be gathered, correlated, or even be inferred by third parties that are not intended to get access to the specific pieces of PII. Furthermore, we introduce technical measures and concepts to avoid unintended flows of PII.
ISBN 978-3-7315-0191-6
ISBN 978-3-7315-0142-8
ISBN 978-3-7315-0094-0
53,00 €
40,00 €
51,00 €
XX, 256 S. // 17 x 24 cm
IX, 185 S. // DIN A5
XVIII, 196 S. // 17 x 24 cm
Informatik und Mathematik
Avoiding Unintended Flows oF PersonAlly identiFiAble inFormAtion