A method for detecting an ice on a road surface includes: providing a spectral imaging camera; recording a first reflectance (R1) of the surface at 0.545 to 0.565 μm using the spectral imaging camera; recording a second reflectance (R2) of the surface at 0.620 to 0.670 μm using the spectral imaging camera; recording a third reflectance (R3) of the surface at 0.841 to 0.876 μm using the spectral imaging camera; calculating an ice index based on the first reflectance, the second reflectance, and the third reflectance; providing a thermometer; recording a surface temperature of the surface using the thermometer; and detecting a presence of the ice on the surface based on the ice index and the surface temperature. A system for detecting an ice on a surface is also disclosed.

The invention provides a road surface condition determining system with improved accuracy. In the system, a plurality of vehicles W.sub.i are used, each equipped with on-board sensors (11, 12) for acquiring vehicular information, which is information on the behavior of the vehicle during travel, a feature value calculating means (13) for calculating a plurality of feature values to be used in estimating the condition of the road surface on which the vehicle is traveling from the vehicular information acquired by the on-board sensors (11, 12), and a transmitter 16 for transmitting the feature values to the outside of the vehicle. A server (20) has a data storage means (22) for accumulating the plurality of feature values from the plurality of vehicles. A road surface condition determining unit (30) determines a road surface condition using the accumulated feature values. And the system determines the road surface condition at the location within a predetermined range within a predetermined space of time.

A system for monitoring flooding can include a plurality of flood monitoring stations and at least one flood warning station in communication with each flood monitoring station. Each flood monitoring station can include at least one sensor configured to detect water level and a visual warning device to alert users of actual or predicted flooding. Each flood monitoring station can include a processor to determine a water level using the sensor and control the visual warning device. Each flood monitoring station can include a processor and a wireless communications device to communicate the water level to the flood warning station.

This computerized system can include a computer system in communication with an immutable storage; a first computer device and a second computer device can be in communications with the computer system; a set of computer readable instructions can be included in the computer system configured for receiving a first event record including a first location, a first time and a first set of metadata wherein the first set of metadata includes an original digital representation captured by the first computer device of the physical object, receiving a subsequent event record from the second computer device and, determining if the original digital representation is equivalent to the subsequent digital representation thereby providing for verification that the same physical object transitioned from an originating event to a subsequent event.

This computerized system can include a computer system in communication with an immutable storage; a first computer device and a second computer device can be in communications with the computer system; a set of computer readable instructions can be included in the computer system configured for receiving a first event record including a first location, a first time and a first set of metadata wherein the first set of metadata includes an original digital representation captured by the first computer device of the physical object, receiving a subsequent event record from the second computer device and, determining if the original digital representation is equivalent to the subsequent digital representation thereby providing for verification that the same physical object transitioned from an originating event to a subsequent event.

Embodiments of the present invention address deficiencies of the art in respect to navigation in GPS-enabled mobile computing devices and provide a novel and non-obvious method, system and computer program product for location-based tsunami alerting navigational instructions in mobile computing devices. In an embodiment of the invention, a location-based tsunami alerting data processing system can be provided. The system can include a central processing unit coupled with a memory component, and a visual display along with location-based navigation logic that is enabled to compute a geographic zone of danger resulting from a tsunami, identify a geographic location for a mobile computing device corresponding to a subscriber, and render a set of personalized navigational instructions in the mobile computing device responsive to a determination that the subscriber is located in the geographic zone of danger.

A movable system for automatically monitoring the correlated wind and temperature filed of a bridge, including a bridge monitoring subsystem, a cloud server, and a client. The system monitors the meteorological parameters of a bridge surface and a temperature of a bridge structure, performs data analysis and processing on a cloud server, and performs visual data interaction by using a client. A bridge surface-specific meteorological parameter monitoring module is movable, such that the location of the sensor for meteorological data monitoring can be adjusted at any time to monitor an entire bridge deck in a time-sharing manner. A lower cantilever structure has an adjustable height, such that the sensor for meteorological data monitoring can track a height of a boundary layer of the bridge surface. A bridge structure-specific temperature monitoring module adopts distributed patch-type temperature sensors, which can detect the temperature of the bridge structure in all directions.

Disclosed in some examples are methods, systems, and machine readable mediums which automatically generate standardized interfaces to sensor data consumers, provide sensor data search functionality, automatically determine data quality, and cache previously used sensor data to minimize the burden on application developers and minimize API call costs.

A water vapor observation device includes a water vapor index acquisition module which acquires a water vapor index calculated based on radio wave intensities of at least two frequencies out of radio waves received by a microwave radiometer, a global navigation satellite system (GNSS) precipitable water vapor acquisition module which acquires a GNSS precipitable water amount calculated based on an atmospheric delay of a GNSS signal received by a GNSS receiver, a correlation data generation module which generates correlation data between the water vapor index and the GNSS precipitable water amount based on the water vapor index and the GNSS precipitable water amount at a plurality of time points during a predetermined period, and a precipitable water vapor calculation module which calculates a precipitable water amount based on the correlation data from the water vapor index obtained based on the microwave radiometer.

An observation device includes a mixer, a detector, a variable attenuator, a calibration information setting module, and an observation data generating module. The mixer mixes an RF signal of an observation object with a local signal to generate an IF signal. The detector detects the IF signal to generate a detection signal. The variable attenuator is connected between the mixer and the detector to attenuate the IF signal. The calibration information setting module sets calibration information from a change of intensity of the detection signal according to a value of the variable attenuator. The observation data generator generates observation data of the RF signal by using the intensity of the detection signal obtained in a state where the value of the variable attenuator is fixed and the calibration information.