Abstract: A computing platform (201) of choice can be configured and arranged to access (102 and 103) a first memory (202) that stores attributes which specifically characterize a particular candidate insurance entity and a second memory (203) that stores mappings which relate insurance policy element availability for a plurality of insurance policy elements to various corresponding insurance entity characterizing attributes. The aforementioned attributes, by one approach, correspond to respective end user-configurable dimensions. This platform can then serve (104) as a matching component by automatically using the aforementioned mappings to determine available insurance policy elements for the particular candidate insurance entity as a function of these attributes and then automatically using (105) those available insurance policy elements to configure an insurance policy consistent with these mappings.

Abstract: The present invention concerns a dual gain antenna system 100 with an integrated system to control a matching network 214. The dual gain antenna system 100 comprises an antenna that includes a first helically shaped antenna element 104, a second vertical antenna element 106, and a base portion 101. The first antenna element 104 is disposed around a longitudinal axis of a dielectric rod 102 that contains a bore 205. The second antenna element 106 is disposed within the longitudinal axis of the dielectric rod bore 205. A sensor 215 detects when the second antenna element 106 is in the extended position and transmits a control signal to a matching system 214 that selectively controls the impedance matching network 214 between the antenna and the RF feed line 103.

Abstract: Handwritten ink is scanned to identify potential diacriticals. A list of diacriticals (19) is generated by traversing the ink. Potential diacritical-containing characters are processed by scoring them with and without a diacritical to generate a first and second score. The first score is compared to the second score to in order to make a decision as to which variant of the potential diacritical-containing character produced a highest score. The highest score is used as a score for a theory and the decision is recorded. A data structure (50) is added to the theory. Each data unit in the data structure (50) corresponds to an entry in the list of diacriticals (19). As a new theory is created by propagation, contents of the data structure (50) are copied into the new theory. Thus, the data structure (50) is used to ensure that all handwritten ink is used and is used only once.

Abstract: In a method of recognition of handwritten input, a preprocessing module (200) of a recognizer (203) having a recognition module (202), segments handwritten input into strokes, to provide stroke vectors. A search module (204) generates hypothetical character strings for scoring by the recognition module (202). A character hypothesis is generated which is a data set of a character, a start vector and an end vector. The recognizer (203) provides a non-cumulative score for the character hypothesis, where the score represents a likelihood of the character being present in the handwritten input at a position starting at the start vector and ending at the end vector. The recognizer (203) delivers to the search module a result that is either the score for the selected first character hypothesis or a result that allows the search module to temporarily ignore the hypothesis or to kill it altogether. The search module maintains or disregards the first hypothetical character string dependent on the result.