In a system and method for detecting carbon dioxide in an enclosed volume, a CO2 detection system is triggered to awaken from a deep sleep state. Once awake, the system queries system sensors to determine the current system parameters, including current CO2 level and temperature. Current and expected CO2 decay rates are calculated, and the system determines whether the current CO2 decay rate is within an expected normal range for an unoccupied enclosed volume. If the volume is static, i.e., not moving, and the CO2 rate is rising and the temperature is rising, a series of alerts are sent to contacts previously set up by the user. If the alerts are not cleared by a user, emergency management personnel are notified.

A semiconductor package structure includes an electronic device having a first surface and an exposed region adjacent to the first surface; a dam disposed on the first surface and surrounding the exposed region of the electronic device; and a filter structure disposed on the dam.

A method for determining the level of contamination in cities comprising the steps of providing a server, transmitting information from users which report contamination issues by means of a mobile electronic device to the server, providing a wireless sensor network (WSN) for measuring level of contamination, obtaining measured data tagged with a geo-reference tag and a time stamp, and configured for supporting delay-tolerant communications transmitting data measured from sensors to the server, processing data measured and information from users by using big data and machine learning algorithms, and providing reports on contamination levels; and a system for collecting and processing environmental information comprising at least one mobile electronic device, including at least one environmental sensor, at least one wireless communication interface, a geo-location unit, and a storage unit; at least one communication gateway and at least a server for storing and processing the information obtained.

A method and system for measuring an amount of a gas dissolved in a liquid is described, in which the liquid is transferred to an equilibrator and in which the amount of the various gases is measured in the gas phase of the equilibrator and that a calculation of the amount of gas which is dissolved in the liquid is carried out.

A monitoring device (1) for a system for generating medical compressed air includes a measured air line (3) removing compressed air from a compressed air supply line downstream of a compressed air conditioning unit. A sensor (2) generates a measured signal as a function of a property of the compressed air fed through the measured air line. A humidifier (8) humidifies the compressed air upstream of the sensor. An output unit (12) outputs information about the property of the compressed air to a user on the basis of the measured signal. A tap (4) removes compressed air and an actuator (5) changes a volume flow and/or mass flow of the compressed air, which volume flow and/or mass flow prevails in the measured air line. The actuator is inserted into the tap in a measuring mode and is removed from the tap in a compressed air removal mode.

A photonic gas sensor and a method for producing a photonic gas sensor are disclosed. In an embodiment a photonic gas sensor includes a component housing with at least one cavity, a radiation-emitting semiconductor chip arranged in the cavity and configured to transmit electromagnetic radiation in a first wavelength range, a radiation-detecting semiconductor chip arranged in the cavity and configured to detect electromagnetic radiation in a second wavelength range and an active sensor element having a fluorescent dye configured to emit electromagnetic radiation in the second wavelength range upon being excited by electromagnetic radiation in the first wavelength range, wherein an intensity of the emitted electromagnetic radiation in the second wavelength range changes reversibly in presence of a gas to be detected.

According to one embodiment, a sensor includes a base, first and second detection element portions, first to third resistor terminals, and first and second conductive terminals. The base includes first and second base regions. The first detection element portion is provided at the first base region. The first detection element portion includes a first detection dement. The first detection dement includes a first resistance member and a first conductive member. The first resistance member includes a first resistance portion and other portion. The first conductive member includes a first conductive portion and other portion. The second detection element portion is provided at the second base region. The second detection dement portion includes a second detection element. The second detection element includes a second resistance member and a second conductive member. The second resistance member includes a second resistance portion and other portion. The second conductive member includes a second conductive portion and other portion.

A device for measuring a concentration of a component in a target sample includes a flow chamber with a first channel that receives a reference sample having a known concentration of the component. The flow chamber also includes a second channel that receives the target sample having an unknown concentration of the component. A pump operates to pump the reference sample and the target sample at a same volume flow rate through the first and second channels, respectively. A thermal mass flow meter measures a thermal conductivity of the reference sample, a thermal conductivity of the target sample, or both.

Method and environment controller for inferring via a neural network one or more commands for controlling an appliance. A predictive model generated by a neural network training engine is stored by the environment controller. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy). The environment controller receives at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level). The environment controller executes a neural network inference engine, which uses the predictive model for inferring the one or more commands for controlling the appliance based on the at least one environmental characteristic value and the at least one set point. The environment controller transmits the one or more commands to the controlled appliance.

A carbon dioxide sensor includes: a solid electrolyte layer that is anion conductive; a reference electrode disposed on one surface of the solid electrolyte layer; and a detection electrode disposed on the other surface of the solid electrolyte layer. The detection electrode is made of a mixture containing: (a) one or more metals selected from the group consisting of Au, Ag, Pt, Pd, Rh, Ru, Os, and Ir; (b) a cation conductive carbonate; and (c) an oxide containing Li and at least one of Ce and Sm. The solid electrolyte layer is preferably oxide ion conductive, and the cation conductive carbonate is preferably lithium ion conductive.