Nokia

About: Nokia is a company organization based out in Espoo, Finland. It is known for research contribution in the topics: Signal & Mobile station. The organization has 16625 authors who have published 28347 publications receiving 695725 citations. The organization is also known as: Nokia Oyj & Oy Nokia Ab.

Method and device for position determination

Abstract: A method and device for position determination, in which one or more application (201, 202) requests a positioning method selection device (204) for positioning data. The positioning method selection device provides an application with positioning data using one or more positioning method (205 to 209) in accordance with settings defined by the application and/or the user. The positioning method selection device (204) receives a positioning request from an application (201, 202), forms a parameter or parameters indicating the quality of positioning requested by the application, compares the quality of positioning data provided by the positioning methods with the positioning quality required by the application, and sends positioning data to the application (201, 202) in response to the positioning request.

Determining language for character sequence

Abstract: A method for selecting the language for a character sequence fed into a data processing device, wherein decision trees are trained for different characters on the basis of lexicons of predetermined languages. The decision trees describe language probabilities on the basis of characters in the environments of the characters. The decision trees for at least some of the characters of the character sequence fed into the data processing device are traversed, thus obtaining a probability of at least one language for each character. The language for the character sequence is selected on the basis of the probabilities obtained.

Data Mining Applied to Linkage Disequilibrium Mapping

Abstract: We introduce a new method for linkage disequilibrium mapping: haplotype pattern mining (HPM). The method, inspired by data mining methods, is based on discovery of recurrent patterns. We define a class of useful haplotype patterns in genetic case-control data and use the algorithm for finding disease-associated haplotypes. The haplotypes are ordered by their strength of association with the phenotype, and all haplotypes exceeding a given threshold level are used for prediction of disease susceptibility–gene location. The method is model-free, in the sense that it does not require (and is unable to utilize) any assumptions about the inheritance model of the disease. The statistical model is nonparametric. The haplotypes are allowed to contain gaps, which improves the method's robustness to mutations and to missing and erroneous data. Experimental studies with simulated microsatellite and SNP data show that the method has good localization power in data sets with large degrees of phenocopies and with lots of missing and erroneous data. The power of HPM is roughly identical for marker maps at a density of 3 single-nucleotide polymorphisms/cM or 1 microsatellite/cM. The capacity to handle high proportions of phenocopies makes the method promising for complex disease mapping. An example of correct disease susceptibility–gene localization with HPM is given with real marker data from families from the United Kingdom affected by type 1 diabetes. The method is extendable to include environmental covariates or phenotype measurements or to find several genes simultaneously.

Relative positioning and virtual objects for mobile devices

Abstract: Multiple participants can play a virtual game with each other utilizing respective mobile devices, regardless of location of the players. The virtual game can be implemented by a radio frequency protocol, such that the virtual game is played by multiple players determined to be within a radio frequency range of a requesting mobile device in accordance with a radio frequency protocol, or the virtual game can be implemented by a wireless application protocol (WAP) whereby the players can be located anywhere in the world.

A method for positioning a mobile station

Abstract: The present invention discloses a method for locating a mobile station, comprising the steps of using fixed transmitting stations (BS1, BS2, BS3) for locating a target mobile station (MS1) by transmitting a measurement signal from each fixed transmitting station to said mobile station, using a relay station (MSN1 - MSN5) which is adapted to receive said measurement signal from the corresponding fixed transmitting station and to forward said signal to said target mobile station (MS1), in case a direct transmission from one or more of said fixed transmitting stations (BS1, BS2, BS3) is not available, and determining the distance between said target mobile station (MS1) to the fixed transmitting stations and/or the relay stations on the basis of said measurement signal, and locating the position of said target mobile station on the basis of the determined distances. By this method, it is possible to locate a mobile station even if there is no direct connection via air to neighbouring base stations.