Ekahau Oy

Licentia Oy

Airista Flow, Inc.

Airista International Oy

Kari Vasko

Pauli Misikangas

Heikki Mannila

Juha Kere

Hannu T T Toivonen

Arsi Koutaniemi

Päivi Onkamo

Vesa Ollikainen

Petteri Sevon

Arttu Huhtiniemi

Location estimation for a first target object assisted by a second target object, which have co-located signalling devices is provided. A positioning engine employs a data model of a location-dependent physical quantity and determines location probability distributions for the target objects. One signalling device sends positioning-assisting signals to the other which makes observations from it. The positioning engine uses observations on the physical quantity and the positioning-assisting signals to make a quantity observation set, and determines location probability distributions for the target objects. The positioning engine determines an updated first location probability distribution based on the location probability distributions and the positioning-assisting observation set. The positioning engine determines the location estimate for the first target object based on the updated first location probability distribution and triggers a physical action based on the location estimate for the first target object.

Positioning of mobile objects based on mutually transmitted signals

The present invention relates to a method for gene mapping from chromosome and phenotype data, which utilizes linkage disequilibrium between genetic markers m, which are polymorphic nucleic acid or protein sequences or strings of single-nucleotide polymorphisms deriving from a chromosomal region. All marker patterns P that satisfy a certain pattern evaluation function e(P) are searched from the data, each marker mof the data is scored by a marker score and the location of the gene is predicted as a function of the scores s(m) of all the markers min the data.

Method for gene mapping from chromosome and phenotype data

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Helsinki, Finland

Kari Vasko