A sensor blockchain system is provided. The sensor blockchain system includes a plurality of sensor-data-loggers, wherein each sensor-data-logger includes a memory device which utilizes FN tunneling. An input to the sensing interface alters the geometry of the energy barrier to change the electron leakage rate and the current state of the sensor-data logger is determined by an initial state of the sensor-data-logger, the predetermined electron leakage rate, and any inputs to the sensing interface. The sensor-data-loggers may be synchronized to an initial state. The synchronization will be maintained when they are all subjected to similar changes in environmental conditions in a supply chain. Desynchronization will occur due to changes in environment, including changes in temperature.

A sensor blockchain system is provided. The sensor blockchain system includes a plurality of sensor-data-loggers, wherein each sensor-data-logger includes a memory device which utilizes FN tunneling. An input to the sensing interface alters the geometry of the energy barrier to change the electron leakage rate and the current state of the sensor-data logger is determined by an initial state of the sensor-data-logger, the predetermined electron leakage rate, and any inputs to the sensing interface. The sensor-data-loggers may be synchronized to an initial state. The synchronization will be maintained when they are all subjected to similar changes in environmental conditions in a supply chain. Desynchronization will occur due to changes in environment, including changes in temperature.

A method for identifying atypical sensors measuring characteristics of individuals. Curves of characteristic of individuals are collected, the curves being measured by each sensor. For a given sensor, a reference curve is processed to calculate a dissimilarity index between the reference curve and each of the other curves of the sensor and the dissimilarity processing is iteratively repeated for each curve resulting from the same sensor to obtain the dissimilarity index for each curve. The dissimilarity processing is repeated for the other sensors to obtain a table of dissimilarity indices. An atypicality index is calculated for each individual from a multivariate statistical processing of the tables. Atypical individuals and atypical sensors are identified.

A method for identifying atypical sensors measuring characteristics of individuals. Curves of characteristic of individuals are collected, the curves being measured by each sensor. For a given sensor, a reference curve is processed to calculate a dissimilarity index between the reference curve and each of the other curves of the sensor and the dissimilarity processing is iteratively repeated for each curve resulting from the same sensor to obtain the dissimilarity index for each curve. The dissimilarity processing is repeated for the other sensors to obtain a table of dissimilarity indices. An atypicality index is calculated for each individual from a multivariate statistical processing of the tables. Atypical individuals and atypical sensors are identified.

A kitchen appliance, method, system and computer readable medium for sous vide cooking are disclosed. The kitchen appliance includes: a heater for heating fluid; a first temperature sensor for sensing a temperature of a food item contained in a sous vide bag within the fluid; a second temperature sensor for sensing a temperature of the fluid; and a controller, operatively connected to the heater and in communication with the temperature sensors, wherein the controller comprises a memory and a processor configured to: receive, from the first temperature sensor, one or more first temperature samples indicative of a temperature of the food item; receive, from the second temperature sensor, one or more second temperature samples indicative of a fluid temperature; control operation of the heater according to the one or more second temperature samples and a target cooking temperature; and store, in memory in a non-volatile manner, the one or more first temperature samples.

A test facility infrastructure control system and method for controlling test environment devices located at a test facility, including: at least one test facility control server that is communicatively coupled to a test facility gateway server that is configured to receive a test configuration to be used in carrying out vehicle testing at the test facility; test environment devices located at the test facility; and one or more test environment controllers; wherein the at least one test facility control server is configured to: receive a test environment control request from the test facility gateway server that specifies one or more test environment devices and includes test environment control instructions that specify a test operation or state of the specified test environment device(s); and send a test environment control message to a selected test environment controller, which causes the specified test environment device to operate according to the test configuration.

Techniques of automated interoperation tracking in computing systems are disclosed herein. One example technique includes tokenizing a first event log from a first software component and a second event log from the second software component by calculating frequencies of appearance corresponding to strings in the first and second event logs and selecting, as tokens, a first subset of the strings in the first event log and a second subset of the strings in the second event log individually having calculated frequencies of appearance above a preset frequency threshold. The example technique can also include generating an overall event log for a task executed by both the first and second software components by matching one of the strings in the first subset to another of the strings in the second subset.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

Security related anomalies in the data related to network entities are identified, and a risk score is assigned to each entity based on the anomalies. Visualization data is generated for a color-coded interactive visualization. Generating the visualization data includes assigning each entity to a separate polygon to be displayed concurrently on a display screen; selecting a size of each polygon to indicate one of: a number of security related anomalies associated with the entity, or a risk level assigned to the entity, where the risk level is based on the risk score of the entity, and selecting a color of each polygon to indicate the other one of: the number of security related anomalies associated with the entity, or the risk level assigned to the entity; and causing, the color-coded interactive visualization to be displayed on a display device based on the visualization data.