Abstract: Field calibration of a pressure device involves collecting simultaneous pressure data or pressure and temperature data at two devices for multiple time points. Pressure differences between pairs of simultaneous data points of the collected pressure data are calculated. A model is fitted to the pressure differences and the temperatures and/or pressures, and model parameters are used to correct measurements from the second device. Alternatively, a pressure gradient is estimated for a region that encompasses the two devices for each time point. A distance is determined between the two devices. A pressure gradient difference is determined between the two devices for each time point. A pressure difference offset is obtained for one of the pairs of simultaneous data points for each time point. An average pressure difference offset is determined between the two devices and is used to correct measurements from one of the devices.

Abstract: A method involves determining an estimated position of a mobile device within a region. Atmospheric data measurement stations are identified within the region. A geographical anomaly is identified within the region that physically intervenes between the mobile device and a first atmospheric data measurement station. Based on a positional relationship between the mobile device, the geographical anomaly, and the first atmospheric data measurement station, it is determined that atmospheric pressure measurements collected at the first atmospheric data measurement station should be conditionally used for determining a reference pressure estimate. The reference pressure estimate is determined using a plurality of atmospheric pressure measurements collected at the atmospheric data measurement stations and conditionally using the atmospheric pressure measurements collected at the first atmospheric data measurement station.

Abstract: Field calibration of a pressure device involves collecting simultaneous pressure data or pressure and temperature data at two devices for multiple time points. Pressure differences between pairs of simultaneous data points of the collected pressure data are calculated. A model is fitted to the pressure differences and the temperatures and/or pressures, and model parameters are used to correct measurements from the second device. Alternatively, a pressure gradient is estimated for a region that encompasses the two devices for each time point. A distance is determined between the two devices. A pressure gradient difference is determined between the two devices for each time point. A pressure difference offset is obtained for one of the pairs of simultaneous data points for each time point. An average pressure difference offset is determined between the two devices and is used to correct measurements from one of the devices.

Abstract: Methods and apparatuses for calculating an optimal revenue total yield for both sleeping and function space in a hospitality establishment for a set of demand that includes both group and transient demands. In a preferred embodiment of the invention, the revenue optimization problem is characterized as a mixed-integer linear programming (MILP) problem and solved using MILP techniques. Preferably, a small value is assigned to the “cost” of a room upgrade and the cost of room upgrades are included in the revenue function to be optimized. In some embodiments of the invention, the actual revenue yield is compared to the optimum revenue yield.

Abstract: Methods and apparatuses for calculating an optimal revenue total yield for both sleeping and function space in a hospitality establishment for a set of demand that includes both group and transient demands. In a preferred embodiment of the invention, the revenue optimization problem is characterized as a mixed-integer linear programming (MILP) problem and solved using MILP techniques. Preferably, a small value is assigned to the “cost” of a room upgrade and the cost of room upgrades are included in the revenue function to be optimized. In some embodiments of the invention, the actual revenue yield is compared to the optimum revenue yield.