A computer implemented method for communicating information to a user; the method including: receiving, from one or more sensors, sensor data containing values of one or more parameters monitored by the sensors; receiving, from one or more users, semantic data for use in interpreting the values of the one or more parameters contained in the sensor data; storing the received semantic data in association with the values of the parameters; receiving a request from a user for information relating to one or more of the parameters at a specified location; determining a value of the one or more parameters at the specified location based on the received sensor data; identifying semantic data that reflects the determined value(s) of the one or more parameters, based on the stored semantic data and stored values of the parameters; and sending the identified semantic data to the user that issued the request.

A computer implemented method for communicating information to a user; the method including: receiving, from one or more sensors, sensor data containing values of one or more parameters monitored by the sensors; receiving, from one or more users, semantic data for use in interpreting the values of the one or more parameters contained in the sensor data; storing the received semantic data in association with the values of the parameters; receiving a request from a user for information relating to one or more of the parameters at a specified location; determining a value of the one or more parameters at the specified location based on the received sensor data; identifying semantic data that reflects the determined value(s) of the one or more parameters, based on the stored semantic data and stored values of the parameters; and sending the identified semantic data to the user that issued the request.

A wearable sensor device includes a temperature and humidity sensor that measures ambient environmental information around a living body. The temperature and humidity sensor is provided on an outer wall surface of a housing or provided to be separated from the outer wall surface. The outer wall surface of the housing faces a left or right side or diagonally downward when the wearable sensor device is attached to the living body and the living body is in a standing posture.

The present disclosure describes an apparatus and method for monitoring the environment of a baby, i.e. the outside environment and the direct environment in direct contact with the baby. Environment elements which can be monitored include the temperature, humidity, sunlight intensity and whether or not the environment is damp. Using the temperature and humidity data, the heat index can also be calculated. The child's direct environment is a weighted value which considers the environment elements relating directly to the child and the direct ambient surroundings of the child. This weighted value, for instance, takes into account the skin temperature of the child as well as the ambient temperature, humidity, dampness of the direct surroundings of the child.

Surface modification control stations and methods in a globally distributed array for dynamically adjusting the atmospheric, terrestrial and oceanic properties. The control stations modify the humidity, currents, wind flows and heat removal rate of the surface and facilitate cooling and control of large area of global surface temperatures. This global system is made of arrays of multiple sub-systems that monitor climate and act locally on weather with dynamically generated local forcing & perturbations for guiding in a controlled manner aim at long-term modifications. The machineries are part of a large-scale system consisting of an array of many such machines put across the globe at locations called the control stations. These are then used in a coordinated manner to modify large area weather and the global climate as desired. The energy system installed at a control stations, with multiple machines to change the local parameters of the ocean, these stations are powered using renewable energy (RE) sources including Solar, Ocean Currents, Wind, Waves and Batteries to store energy and provide sufficient power and energy as required and available at all hours. This energy is then used to do directed work using special machines, that can be pumps for seawater to move ocean water either amplifying or changing the currents in various locations and at different depths, in addition it will have machineries for changing the vertical depth profile of the ocean of temperature, salinity and currents. Control stations will also directly use devices such as heat pumps to change the temperatures of local water either at surface or at controlled depths, or modify the humidity and salinity to change the atmospheric and oceanic properties as desired. The system will work in a globally coordinated manner applying artificial intelligence and machine learning algorithms to learn from observations to improve the control characteristics and aim to slow down the rise of global surface temperatures. These systems are used to reduce the temperatures of coral reefs, arctic glaciers and south pacific to control the El Nino oscillations.

Surface modification control stations and methods in a globally distributed array for dynamically adjusting the atmospheric, terrestrial and oceanic properties. The control stations modify the humidity, currents, wind flows and heat removal rate of the surface and facilitate cooling and control of large area of global surface temperatures. This global system is made of arrays of multiple sub-systems that monitor climate and act locally on weather with dynamically generated local forcing & perturbations for guiding in a controlled manner aim at long-term modifications. The machineries are part of a large-scale system consisting of an array of many such machines put across the globe at locations called the control stations. These are then used in a coordinated manner to modify large area weather and the global climate as desired. The energy system installed at a control stations, with multiple machines to change the local parameters of the ocean, these stations are powered using renewable energy (RE) sources including Solar, Ocean Currents, Wind, Waves and Batteries to store energy and provide sufficient power and energy as required and available at all hours. This energy is then used to do directed work using special machines, that can be pumps for seawater to move ocean water either amplifying or changing the currents in various locations and at different depths, in addition it will have machineries for changing the vertical depth profile of the ocean of temperature, salinity and currents. Control stations will also directly use devices such as heat pumps to change the temperatures of local water either at surface or at controlled depths, or modify the humidity and salinity to change the atmospheric and oceanic properties as desired. The system will work in a globally coordinated manner applying artificial intelligence and machine learning algorithms to learn from observations to improve the control characteristics and aim to slow down the rise of global surface temperatures. These systems are used to reduce the temperatures of coral reefs, arctic glaciers and south pacific to control the El Nino oscillations.