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Projects and Theses (Summer 2022)

ILDARS

Indoor Localization using Directional and Reflected Sound signals. 

  • Signal Processing - differentiate and detect reflected and LOS signal
  • System Integration
  • Algorithms - Learning walls
  • Supervisor(s) - Prof.Dr.Christian Schindelhauer

 

BRAINY BATS

  • Assumption - Perfect ray model
  • Given - senders and receivers of unknown positions, walls and shapes of unknown positions
  • Compute - the relative positions
  • Restraints - shapes (planes, spheres, cylinders), number of reflections, 2D/3D
  • Supervisor(s) - Sneha Mohanty, Prof.Dr.Christian Schindelhauer

 

MASTER LAB SOUNDSCAPE ECOLOGY

  • Cooperation with Geobotany/Forest Science
  • Computer Science to improve current acoustic monitoring methods
  • Developing methods and/or hardware for 3D locating bats and other animals
  • Setup an array of autonomous recorders - Raspberry Pi with audio recorder shield
  • Courses, practical field courses, jour fixe, campfire sessions
  • Supervisor(s) - Prof.Dr.Christian Schindelhauer, Dr.Johannes Wendeberg, Sneha Mohanty

 

VISUAL CRYPTOGRAPHY

  • Tracing the path of a light ray or beam in 2D/3D
  • Given - An optical system consisting of refractive/reflective surfaces
  • Surface boundary could be rational/irrational or mixture of both
  • Determine if light ray/beam exits at fixed position, P
  • Determine limitations of such an optical system
  • Supervisor(s) - Prof.Dr.Christian Schindelhauer, Sneha Mohanty

 

CRYPTOGRAPHY

  • Bullet proofs for Mental Card Games
  • Given - formal description of a card game, automatically construct all interactive zero-knowledge games
  • Design an interpreter/compiler which translates card game languages into interactive proof systems
  • Supervisor(s) - Prof.Dr.Christian Schindelhauer

 

ANALYSIS OF SPARSE MATRICES

  • Application of Coding Theory
  • Given a matrix with given positions where entries are chosen randomly, determine probability of certain rank
  • Supervisor(s) - Prof.Dr.Christian Schindelhauer, Sneha Mohanty

 

MIMO AND NEAR-FIELD ANTENNA FIELDS

  • Given - set of sender/receiver antenna 
  • Signal produced
  • Compute/Simulate - power gain/diversity gain
  • Tools - Simulation in 2D/3D with physical models
  • Related lectures - Fundamentals of Wireless Communications
  • Supervisor(s) - Prof.Dr.Christian Schindelhauer, Peter Krämer

 

DATA AGGREGATION IN PEER-TO-PEER NETWORK

  • Given - Sensors and data from sensors community
  • Compute/Simulate aggregation function, Clustering over P2P 
  • Supervisor(s) - Prof.Dr.Christian Schindelhauer, Saptadi Nugroho

 

For more information on the above, please visit Prof.Dr.Christian Schindelhauer's Consultation hour between 14:00-15:00 on 28.03.2022 hybrid in Room 051-002-007 and per Zoom

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