A method of sterilisation, certification and traceability of liquid nitrogen, includes the steps of preparing a container, provided with an opening, in use, at the top, and pouring into it a batch of liquid nitrogen to be sterilised; providing an identification element uniquely associable with the batch of liquid nitrogen, said identification element including an indicator of the sterilisation state of the batch contained in said container configured to modify its appearance following exposure to ultraviolet radiation; associating the identification element with the container of the batch of liquid nitrogen to be sterilised, positioning it in a portion of said container, adjacent to said opening; carry out a batch sterilisation treatment through exposure to ultraviolet radiation for a predetermined period of time, to modify at least one characteristic of the indicator to certify the sterilisation of the batch.

Systems and methods for making predictions relating to products manufactured via a manufacturing process. A processor receives a plurality of input vectors associated with a plurality of output values and a plurality of time intervals. The processor clusters the plurality of input vectors based on the time intervals associated with the input vectors. The processor trains a machine learning model for each time interval of the plurality of time intervals, where the training of the machine learning model is based on the input vectors associated with the time interval, and the output values associated with the input vectors. The processor further trains a classifier for selecting one of the plurality of time intervals for input data received for a product. In one embodiment, the machine learning model associated with the time interval selected by the classifier is invoked to predict an output based on the input data.

A method and system of dispensing a fuel from a fuel tank to a recipient fuel tank. The method includes scanning a tag by a scanner from a smart device, wherein the smart device also comprises a communications processor, recording an initial inventory level of the fuel in the fuel tank, estimating a density of the fuel, opening a valve to dispense a predetermined amount of the fuel, and recording a final inventory level after the dispensing the fuel, upon estimating that the density of the fuel is within a predetermined range, and shutting the valve and communicating to relevant personnel about the difference in fuel density, upon estimating that the density is outside of the predetermined range.

A consumer interaction agent management platform can be provided to facilitate the management of consumer interaction agents. The consumer interaction agent management platform can enable an analyst to obtain a performance summary of a consumer interaction agent representing how accurately the consumer interaction agent predicts the intent of consumer interactions it receives. The consumer interaction agent management platform may also provide various mechanisms for automatically creating training data for a particular intent. The consumer interaction agent management platform may further provide a mechanism for visualizing the extent to which a word impacts the intent predicted for a phrase that includes the word.

Embodiments of the invention are directed to a system, method, or computer program product for providing an intelligent quality accelerator with root mapping system. The system provides a business language model and process automation that stratifies sampling of resource exchanges from products using a machine learning loop and provides an end to end simulation for root cause analysis. In this way, the system provides two layers, a robust sampling and root cause analysis.

A first parcel digital image associated with a first interaction point is received. The first parcel digital image may be associated with a first parcel being transported to or from the first interaction point. At least a second parcel digital image associated with at least a second interaction point is further be received. The second parcel digital image may be associated with the first parcel being transported to or from the second interaction point. A first parcel damage analysis is automatically generated based at least in part on analyzing the first parcel digital image and the at least second parcel image. The damage analysis can include determining whether the first parcel is damaged above or below a threshold.

Systems and methods for displaying onboard service information for vessels are described. In some embodiments, a method comprises obtaining time range data indicating a time range; obtaining corresponding trips within the time range for each of a plurality of vessels; and obtaining status of an onboard service provided during each trip of the corresponding trips for each of the plurality of vessels. In response to receiving a request for displaying service performance information for the plurality of vessels, first graphical interface data is generated. The data represents a plurality of vessel identifiers that corresponds to the plurality of vessels; a plurality of trip icons for the corresponding trips for each of the plurality of vessels, and a timeline that represents the time range. The data is transmitted to a display device to cause the display device to generate and to display a trip-schedule viewer representation.

A work instruction system includes: an imaging device that captures a captured image including an operator that performs a plurality of element tasks with respect to a target; an information processing device that includes a completion determination part that determines, for each element task, the completion of the element task, and a work identifier that identifies the element task to be performed next by the operator; and a display device that displays the element task to be performed next by the operator.

An objective of the present invention is to promote efficiency improvement of a business by a mobile device. A business analysis server that analyzes a business in a mobile device system conducting the business by controlling a mobile device on the basis of a scenario includes a control unit, and a storage unit including a business index value database that manages a business index value indicating an effect of the business and a business index value history database that manages a change in the business index value as time-series data. The control unit receives scenario execution information when a business index value is designated, analyzes a correlation between the business index value and the scenario by referring to the business index value history database and the scenario execution information, extracts a target scenario whose correlation value with the business index value satisfies predetermined conditions, and generates a correction scenario.

Disclosed is a method for using a virtual representation of an indoor environment to identify contents that have been damaged (e.g., by flooding). A virtual representation of a physical scene of an indoor environment is processed to identify a list of contents in the physical scene. The virtual representation may include 2-dimensional representations of the physical scene (e.g., images or video) or a 3-dimensional representation of the physical scene (e.g., 3D digital model). A reference line is determined in the virtual representation that is indicative of a maximum vertical extent of the damage in the physical scene. The position of the reference line is compared with the position of the identified contents in the virtual representation to determine contents that are likely to be damaged. For example, the contents that are at or below a plane represented by the reference line in the virtual representation may be identified as damaged.