A system for estimating remaining cooking time obtains a target temperature, obtains an ambient temperature value, and receives a plurality of inner temperature values based on temperature data obtained by a relevant inner temperature sensor at a plurality of different timepoints. The system also calculates a plurality of natural logarithm values including, for each particular inner temperature value of the plurality of inner temperature values, a natural logarithm of a difference between the ambient temperature value and the particular inner temperature value. The system also determines a linear regression line that models a relationship between the plurality of natural logarithm values and the plurality of different timepoints, obtains a slope value and an interception value based on the linear regression line, and determines a remaining time based on the interception value, the slope value, and a natural logarithm of a difference between the ambient temperature value and the target temperature.

A device for detecting isotopes includes an isotope portion including a material including an isotope of an element, a reaction control portion to cause a chemical reaction of the material, and an electrical parameter portion to measure a change in an electrical parameter of the material, where the change in the electrical parameter is caused by the chemical reaction, and where the change in the electrical parameter is dependent on the isotope in the material, to detect the isotope by comparing the change in the electrical parameter of the material with a known electrical parameter associated with a known isotope.

A device for detecting isotopes includes an isotope portion including a material including an isotope of an element, a reaction control portion to cause a chemical reaction of the material, and an electrical parameter portion to measure a change in an electrical parameter of the material, where the change in the electrical parameter is caused by the chemical reaction, and where the change in the electrical parameter is dependent on the isotope in the material, to detect the isotope by comparing the change in the electrical parameter of the material with a known electrical parameter associated with a known isotope.

An indicator capable of determining accumulated temperatures of about 500° C..Math.h and about 1000° C..Math.h are important indexes in quality management for cut flowers. The indicator includes a first packet containing first solution and a second packet containing second solution. The first and second solutions are brought into contact by pressing either packet, and a first color change from transparent color to pale blue color and a second color change from blue color to brown color are generated by Maillard reaction. The first solution includes sugar and solvent, and the second solution includes amino acid, pH adjuster, and solvent. An accumulated temperature is within 500° C..Math.h when the indicator shows a transparent color, and the accumulated temperature is within 1000° C..Math.h when the indicator shows a blue color. The accumulated temperatures can be readily checked by one look so that remaining vase life of the cut flowers can be determined.

An indicator capable of determining accumulated temperatures of about 500° C..Math.h and about 1000° C..Math.h are important indexes in quality management for cut flowers. The indicator includes a first packet containing first solution and a second packet containing second solution. The first and second solutions are brought into contact by pressing either packet, and a first color change from transparent color to pale blue color and a second color change from blue color to brown color are generated by Maillard reaction. The first solution includes sugar and solvent, and the second solution includes amino acid, pH adjuster, and solvent. An accumulated temperature is within 500° C..Math.h when the indicator shows a transparent color, and the accumulated temperature is within 1000° C..Math.h when the indicator shows a blue color. The accumulated temperatures can be readily checked by one look so that remaining vase life of the cut flowers can be determined.

An electronic device and a display method thereof are disclosed. An electronic device according to the present disclosure comprises: a display; and a processor for controlling an electronic device to operate in one of a wallpaper mode and a content mode, wherein, in the absence of a preset wallpaper, when a first user command is input while the display operates in the content mode for reproducing broadcast content, the processor controls the display to change and display the broadcast content to a first UI for entering the wallpaper mode; and, in the absence of a preset wallpaper screen, when a second user command is input while the display is operating in the content mode, the processor controls the display to change and display the broadcast content to a wallpaper setting screen for setting a wallpaper.

A method of determining a calibration or maintenance time interval after which a specific measurement device of a given type for measuring a quantity to be measured on a measurement site of an industrial site shall be re-calibrated or maintained is described, comprising the steps of: determining a criticality (C) of the specific device, based on the criticality (C) setting a reliability target (RT) for the device, wherein the reliability target (RT) denominates the probability of the device to be compliant according to a predefined criterion at the end of the calibration or maintenance time interval to be determined by this method, defining compliancy ranges for a measurable degree of compliance of the device, selecting a reliability model for a reliability of the device as a function of a normalized time interval (t.sub.n) and a set of at least one parameter (c1, . . . , c.sub.m) from a variety of predefined reliability models, determining a separate set of parameters for the selected reliability model for each of the compliancy ranges based on prescribed reliability expectation values (RV(t.sub.n.sup.pd)) for each of the error ranges, which a reliability function associated with this error range shall comply to at at least one predefined normalized time (t.sub.n.sup.pd), determining the degree of compliance of the specific measurement device and based on the degree of compliance determining the corresponding compliancy range, determining a normalized calibration or maintenance time (t.sub.n) as the time, at which a reliability function (R(t.sub.n)) given by the selected reliability model and the set of parameters determined for this compliancy range equals the reliability target (RT), and determining the next calibration or maintenance time interval based on a product of this normalized calibration or maintenance time (t.sub.n) and a given reference time interval (T.sub.R).

A method of determining a calibration or maintenance time interval after which a specific measurement device of a given type for measuring a quantity to be measured on a measurement site of an industrial site shall be re-calibrated or maintained is described, comprising the steps of: determining a criticality (C) of the specific device, based on the criticality (C) setting a reliability target (RT) for the device, wherein the reliability target (RT) denominates the probability of the device to be compliant according to a predefined criterion at the end of the calibration or maintenance time interval to be determined by this method, defining compliancy ranges for a measurable degree of compliance of the device, selecting a reliability model for a reliability of the device as a function of a normalized time interval (t.sub.n) and a set of at least one parameter (c1, . . . , c.sub.m) from a variety of predefined reliability models, determining a separate set of parameters for the selected reliability model for each of the compliancy ranges based on prescribed reliability expectation values (RV(t.sub.n.sup.pd)) for each of the error ranges, which a reliability function associated with this error range shall comply to at at least one predefined normalized time (t.sub.n.sup.pd), determining the degree of compliance of the specific measurement device and based on the degree of compliance determining the corresponding compliancy range, determining a normalized calibration or maintenance time (t.sub.n) as the time, at which a reliability function (R(t.sub.n)) given by the selected reliability model and the set of parameters determined for this compliancy range equals the reliability target (RT), and determining the next calibration or maintenance time interval based on a product of this normalized calibration or maintenance time (t.sub.n) and a given reference time interval (T.sub.R).

Method and system are provided for customer table service management. The method includes receiving sensor load data over time from a customer table. The method analyzes the sensor load data during a waiting time between a time of one or more customers arriving at the table and a time of consumables being served to the table to learn background noise data of the one or more customers. The method further analyzes the sensor load data during a dining time after the time of consumables being served to the table to detect one or more events that require a service action, wherein analyzing the sensor load data during the dining time removes the learnt background noise data to distinguish sensor load data changes relating to consumption of the consumables on the table. The method outputs event detection notifications to prompt the required service action.

Method and system are provided for customer table service management. The method includes receiving sensor load data over time from a customer table. The method analyzes the sensor load data during a waiting time between a time of one or more customers arriving at the table and a time of consumables being served to the table to learn background noise data of the one or more customers. The method further analyzes the sensor load data during a dining time after the time of consumables being served to the table to detect one or more events that require a service action, wherein analyzing the sensor load data during the dining time removes the learnt background noise data to distinguish sensor load data changes relating to consumption of the consumables on the table. The method outputs event detection notifications to prompt the required service action.