Abstract: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

Abstract: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

Abstract: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

Abstract: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

Abstract: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

Abstract: In the method of estimating a signal-to-interference+noise ratio (SINR), either the polarities or bit values of a plurality of received data symbol samples are estimated. Then an SINR estimate is generated based on the plurality of received data symbol samples and the estimated polarities or bit values of the plurality of received data symbol samples such that the SINR estimate is not substantially dependent on the polarities or a bit value of the plurality of received data symbol samples.

Abstract: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

Abstract: A method and system for improving the reliability of a system, such as a software system, is disclosed. “Service measurements” that are routinely measured and monitored in connection with the operation of systems (e.g., QOS (Quality Of Service) measurements) are utilized in the reliability architecture of the system. Service measurements include a number of alternative data types, such as transactions completed, messages received, messages sent, calls completed, bytes transmitted, jobs processed, etc. Any operations of the system that are typically monitored for other purposes can be utilized in the reliability architecture of the present invention. Most systems track these types of statistics as, for example, part of their billing procedures or part of their performance bench-marking or QOS processes.

Abstract: A new algorithm for clock offset estimation for resources distributed across a network (such as the Internet). By exchanging a sequence of time-stamped messages between pairs of network nodes and separately estimating variable delays for each message direction, present inventive embodiments provide more accurate estimates for clock offset between node pairs. Present inventive algorithms operate in a variety of peer and server network configurations while providing significant improvement in convergence speed and accuracy.

Abstract: In the method of estimating a signal-to-interference+noise ratio (SINR), an initial SINR estimate is generated based on a mean of a plurality of samples and a sample variance estimate of the plurality of samples. Then, the initial SINR estimate is scaled and translated. Furthermore, SINR estimates based on pilot symbols and data symbols, respectively, are combined to form a composite estimate.

Abstract: A new algorithm for clock offset estimation for resources distributed across a network (such as the Internet). By exchanging a sequence of time-stamped messages between pairs of network nodes and separately estimating variable delays for each message direction, present inventive embodiments provide estimates for clock offset between node pairs and the bias of such estimates, thereby to permit more accurate correction. Present inventive algorithms operate in a variety of peer and server network configurations while providing significant improvement in convergence speed and accuracy.

Abstract: The location of a mobile wireless communication unit in the service area of a CDMA communications system is predicted utilizing two likelihood functions that define maximum likelihood estimators of the mobile unit's location, based on attribute measurements, such as but not limited to pilot signal strength, being made at the location of the mobile unit and reported back to a base station. One of the likelihood functions comprises a frequentist likelihood function and the other comprises a Bayesian-modified likelihood function. The likelihood functions are based on the assumption that there is an RF model which provides the probability a mobile unit is able to detect one or more attributes associated with an arbitrary base station, given it is located at an arbitrary location within the service area. Each of the likelihoods are also incorporated into a sequential Bayesian procedure which outputs a posterior distribution indicative of the location of the mobile unit.

Abstract: A new algorithm for clock offset estimation for resources distributed across a network (such as the Internet). By exchanging a sequence of time-stamped messages between pairs of network nodes and separately estimating variable delays for each message direction, present inventive embodiments provide more accurate estimates for clock offset between node pairs. Present inventive algorithms operate in a variety of peer and server network configurations while providing significant improvement in convergence speed and accuracy.

Abstract: A wireless-global positioning system determines the location of a wireless mobile communication device from reliable position measurements and wireless network downlink measurements. The wireless network downlink measurements obtained are then used in conjunction with a database for pattern matching or contour matching. The difficulty of building and maintaining that database is alleviated by using those network downlink measurements associated with the reliable position measurements to populate the database, such as GPS measurements or those obtained through enhanced based positioning technique (EOTD). The increased database accuracy subsequently improves the quality of position location measurements from the wireless network.

Abstract: The location of a mobile unit in the service area of a CDMA cellular telephone system is predicted from a spatial probability distribution that is generated over a region of sub-cells within the service area. The spatial distribution, and hence the predicted location, is updated sequentially based on RF measurements provided by the mobile unit through the use of a Bayesian-update method.

Abstract: In the method of estimating a signal-to-interference+noise ratio (SINR), an initial SINR estimate is generated based on a mean of a plurality of samples and a sample variance estimate of the plurality of samples. Then, the initial SINR estimate is scaled and translated. Furthermore, SINR estimates based on pilot symbols and data symbols, respectively, are combined to form a composite estimate.

Abstract: A wireless-global positioning system determines the location of a wireless mobile communication device from reliable position measurements and wireless network downlink measurements. The wireless network downlink measurements obtained are then used in conjunction with a database for pattern matching or contour matching. The difficulty of building and maintaining that database is alleviated by using those network downlink measurements associated with the reliable position measurements to populate the database, such as GPS measurements or those obtained through enhanced based positioning technique (EOTD). The increased database accuracy subsequently improves the quality of position location measurements from the wireless network.

Abstract: The method of estimating a signal-to-noise ratio (SINR) estimates either the polarities or bit values of a plurality of received data symbol samples. Then an SINR estimate is generated based on the plurality of received data symbol samples and the estimated polarities or bit values of the plurality of received data symbol samples such that the SINR estimate is not substantially dependent on a polarities or a bit value of the plurality of received data symbol samples.

Abstract: A new algorithm for clock offset estimation for resources distributed across a network (such as the Internet). By exchanging a sequence of time-stamped messages between pairs of network nodes and separately estimating variable delays for each message direction, present inventive embodiments provide estimates for clock offset between node pairs and the bias of such estimates, thereby to permit more accurate correction. Present inventive algorithms operate in a variety of peer and server network configurations while providing significant improvement in convergence speed and accuracy.

Abstract: The location of a mobile unit in the service area of a CDMA wireless communications system is determined by a location probability distribution procedure that is based entirely on analytical results derived from an integrated model of the wireless communications system, its RF environment and attribute measurement. The mobile unit measures and reports attribute values of pilot signal strength of all pilot signals visible to the mobile unit at its present location, whereupon a location probability distribution is computed based on a Bayesian probability algorithm including a set of stored model parameters.