Abstract: A first position (104) of the mobile client is determined at least in part by utilizing first signals received from at least one first signal source. The first signal source operates in a first location determination system (114). A second position (106) of at least one second signal source (120) is determined by utilizing both the determined first position of the mobile client and second signals received from the at least one second signal source (120). The second signal source (120) operates in a second location determination system. A third position (116) of the mobile client is determined utilizing the second signal source (120).

Abstract: A method and apparatus for determining the location of a node within a wireless communication system is provided herein. In order to determine the location of a node, a series of GSM network measurement reports (NMRs) received at multiple base stations are analyzed by location-finding equipment. Multiple reports from the same mobile unit are analyzed for their received signal strength and multiple location estimates are then determined for the node. The location estimates are then averaged and weighted to determine an accurate location estimate for the node.

Abstract: A first position (104) of the mobile client is determined at least in part by utilizing first signals received from at least one first signal source. The first signal source operates in a first location determination system (114). A second position (106) of at least one second signal source (120) is determined by utilizing both the determined first position of the mobile client and second signals received from the at least one second signal source (120). The second signal source (120) operates in a second location determination system. A third position (116) of the mobile client is determined utilizing the second signal source (120).

Abstract: A method and apparatus for determining the location of a node within a wireless communication system is provided herein. In order to determine the location of a node, a series of GSM network measurement reports (NMRs) received at multiple base stations are analyzed by location-finding equipment. Multiple reports from the same mobile unit are analyzed for their received signal strength and multiple location estimates are then determined for the node. The location estimates are then averaged and weighted to determine an accurate location estimate for the node.

Abstract: A first position (104) of the mobile client is determined at least in part by utilizing first signals received from at least one first signal source. The first signal source operates in a first location determination system (114). A second position (106) of at least one second signal source (120) is determined by utilizing both the determined first position of the mobile client and second signals received from the at least one second signal source (120). The second signal source (120) operates in a second location determination system. A third position (116) of the mobile client is determined utilizing the second signal source (120).

Abstract: A method, apparatus, and electronic device for determining a location of a mobile device are disclosed. A receiver may asynchronously receive an access signal from at least three access points of a wireless local area network with the mobile device. A processor may measure an access signal strength for the access signal for each access point. A transmitter may transmit the access signal strengths to a location server to determine the location of the mobile device.

Abstract: A network (100) will receive requests from unauthorized nodes that wish to join/access the network. While access may be denied for the unauthorized nodes, the network will continue to monitor these nodes for location information. The unauthorized nodes will be located, and their location will be monitored.

Abstract: A neural network based universal time series prediction system for financial securities includes a pipelined recurrent ANN architecutre having a plurality of identical modules to first adjust internal weights and biases in response to a first training set representing a nonlinear financial time series of samples of a financial quantity and a target value, and then determine and store an estimated prediction error of the ANN in order to adjust short time stock price predictions in accordance with the stored prediction error. The prediction system is also designed to output upper and lower prediction bounds within a confidence region.

Abstract: The present invention relates to a human cDNA homologous to the yeast REV1 gene. The sequence of human REV1 (hREV1) gene is described.

Abstract: The present invention provides a method (600) and device (400) for minimizing wind-induced noise in a microphone. The device includes: a housing (412) having a recessed area shaped to accommodate a microphone transducer (410); the microphone transducer (410), situated within the recessed area such that a thin film situated over the microphone transducer is flush with/overlaying a top of the recessed area and affixed at least to the sides of the recessed area, for receiving sound; and the thin film (402) has at least one aperture (404, . . . 406) for allowing sound to impinge on the microphone transducer (410), and has a minimal thickness that maintains structural integrity.