Various embodiments of the teachings herein include a computer aided method for generating training data for a neural network designed to determine a pollutant concentration at a measurement station from a pollutant emission. The method may include: providing a measurement series of the concentration containing a value above a threshold; providing a measurement series for a variable related to the pollutant concentration; providing a transmission model modelling a relationship between the pollutant emission, the measured variable, and the pollutant immission at the measurement station; computing a first value of the pollutant immission using the transmission model using a value of the measured variable; computing a second value of the pollutant immission using the transmission model by numerically altering the measured value of the measured variable; and generating a synthetic measurement series as training data by an alteration based at least in part on a relative change in computed values.

A system and method for creating a scent database is described. An electronic sensing unit is used to receive an odorant sample and generate an electronic signature characterizing the sample received therein via a guiding unit that guides a first portion of the sample into an electronic sampling unit and a second portion of the sample towards an outlet. A control unit is used to receive data indicative of the signature generated by the sensing unit and data from user(s) indicative of olfactive descriptors characterizing the sample to which the users are exposed, enabling creation of a data record including first and second data corresponding to the same sample. The database includes data, each associated with a specific odorant sample, which may be used to characterise/formulate/create, a desired scent based on comparison of an electric signature generated for the scent and data records which signatures comply with best compliance criterion.

A method for preparing original data of an odor image includes a measurement result acquiring step of acquiring each measurement result measured with respect to the odor substance included in the sample in each of a plurality of sensor elements of an odor sensor, and a data processing step of generating the original data for representing the odor of the sample in the image by processing each of the acquired measurement results. Each of the sensor elements has different detection properties with respect to the odor substance. In a case where each of the original data items is represented in a small image, the odor of the sample is represented in an odor image in a predetermined display mode in which small images are assembled, and each of the small images is varied in accordance with the magnitude of the value of each original data item.

Disclosed herein are systems and methods for detecting a gas leak at a field site, the system having at least one gas sensor, an acoustic sensor, and a processing unit having a processor and a non-transitory computer readable storage media storing instructions, the processing unit configured to receive signals from the at least one gas sensor and the acoustic sensor. When the instructions are executed by the processor of the processing unit, the signals received from the at least one gas sensor and the acoustic sensor are analyzed to determine a presence of a gas leak, the presence of the gas leak determined if at least one signal received from the gas sensor is above a first gas threshold value and at least one signal received from the acoustic sensor is above a first acoustic threshold value.

A method of providing information related to a state of an object in a refrigerator includes obtaining a first camera image including at least one object kept in the refrigerator through a camera arranged in the refrigerator, obtaining environmental information in the refrigerator through an environmental sensor arranged in the refrigerator, predicting information related to a current state of the at least one object by applying the first camera image including the at least one object and the environmental information in the refrigerator to an artificial intelligence (AI) model; and providing the information related to the current state of the at least one object.

Systems and methods presented herein generally relate to greenhouse gas emission management and, more particularly, to greenhouse gas emission management systems and methods for performing greenhouse gas detection sensor placement planning, leakage source tracing, and quantification of leakage source detections for oil and gas production facilities.

A system having an electronic device. The electronic device has an array of chemically sensitive sensors. The sensors detect volatile organic compounds and have field effect transistors. The transistors have non-oxidized, functionalized silicon nanowires. The nanowires have surface Si atoms. The device has a plurality of functional groups that form a direct Si—C bond with the silicon nanowires, wherein Si is a surface Si atom and C is a carbon atom of the functional group. The functional groups are selected from the group consisting of: alkyl, cycloalkyl, alkenyl, alkynyl, aryl, heterocyclyl, heteroaryl, alkylaryl, alkylalkenyl, alkylalkynyl, alkylcycloalkyl, alkylheterocyclyl and alkylheteroaryl groups, and derivatives thereof, wherein said functional groups are other than methyl and 1-butyl. The plurality of functional groups are attached to 50-100% of the surface Si atoms.

A system and method for creating a scent database is described. An electronic sensing unit is used to receive an odorant sample and generate an electronic signature characterizing the sample received therein via a guiding unit that guides a first portion of the sample into an electronic sampling unit and a second portion of the sample towards an outlet. A control unit is used to receive data indicative of the signature generated by the sensing unit and data from user(s) indicative of olfactive descriptors characterizing the sample to which the users are exposed, enabling creation of a data record including first and second data corresponding to the same sample. The database includes data, each associated with a specific odorant sample, which may be used to characterise/formulate/create, a desired scent based on comparison of an electric signature generated for the scent and data records which signatures comply with best compliance criterion.

A gas sensing device includes one or more chemo-resistive gas sensors; one or more heating elements for heating each of the gas sensors; a preprocessing block for filtering signal samples in order to generate filtered signal samples for each of the gas sensors; an information extraction block for generating representations for the filtered signal samples for each of the gas sensors based on dynamic characteristics of the received filtered signal samples of the respective gas sensor; and a decision making block for receiving the representations, wherein the decision making block includes a trained model based algorithm stage having an input layer and an output layer, wherein the decision making block includes trained models, wherein the decision making block creates sensing results based on output values of the output layer of the algorithm stage, and wherein the output values are created by using the trained models.

A plurality of air data may be collected by a sensor within a data center. The plurality of air data is received by a processor. At least a portion of the received plurality of air data corresponding to at least one zone within the data center may be determined to satisfy a threshold. Coordinates of a geographical location associated with the zone that includes the sensor may be transmitted to a robotic filter. The robotic filter can be dispatched to the transmitted geographic location to filter the zone.