An automated yard audit system is provided. The automated yard audit system includes one or more light detection and ranging (LIDAR) sensors, which are each configured to scan at least a portion of a fulfillment yard, and a controller. The controller is configured to receive scanning data of the yard from each of the LIDAR sensors and generate a virtual representation of the fulfillment yard based on the scanning data. The controller is also configured to identify one or more objects in the fulfillment yard, track movement of the one or more objects in the fulfillment yard, perform an audit of the fulfillment yard, and determine capacity information of the fulfillment yard, based on the virtual representation.

Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.

A system and method for comparing zones for different versions of a website based on performance metrics are provided. The method includes collecting comparison versions of at least one website specified in a received comparison request; identifying at least one comparison zone in the collected comparison versions, wherein a comparison zone is a zone included in the at least one specified website; collecting at least one comparison zone metric for each of the at least one comparison zones for the collected comparison versions, wherein the at least one comparison zone metric is a numerical value related to a user interaction metric with the at least one comparison zone; analyzing the collected comparison zone metrics to determine zone performance; and returning the analysis results.

An apparatus, method and computer program is described comprising: receiving interaction information via at least one user device, wherein the interaction information is related to at least one user using at least one user device in relation to a first content creation task; receiving sensor data relating to the at least one user from one or more sensors; and determining data, using a first model, the data comprising content creation performance data and user state data, wherein: the content creation performance data indicates performance of the at least one user in relation to the first content creation task, based, at least in part, on the interaction information and a first content created when the at least one user performs the first content creation task; and the user state data is based, at least in part, on the received sensor data in relation to the first content creation task.

An analysis system, which includes a processor and a memory connected with the processor, further includes: a model applying unit that predicts at least one change among changes between the conditions of target persons in the case of an intervention not being followed and the conditions of the target persons in the case of the intervention being followed with reference to the health checkup information, the medical information, and the clinical condition transition models; and a simulation unit that predicts medical care expenses using the conditions predicted by the model applying unit, and calculates the medical care expense of a group to which the target persons belong by aggregating the predicted medical care expenses of the individual target persons. In addition the simulation unit outputs screen data used for displaying the calculated medical care expense of the group.

The invention provides a method, a system and a computer program product to adjust an overall duration of a physical activity of a biological object. The physical activity is evaluated based on a physical activity parameter. The invention includes receiving: a target information (S1) corresponding to the physical activity parameter; the overall duration (S2) being a sum of a plurality of distributed time intervals; and a physical activity parameter information of the biological object. The physical activity parameter information is received (S4) for each distributed time interval. Thereafter, the corresponding distributed time interval is modified (S5) based on the received physical activity parameter information and the target information. Subsequently, a new overall duration (S8) of the physical activity is determined based on the modified distributed time interval and the received overall duration.

An access system for managing users engaged in providing care to patients. A patient support apparatus is provided and comprises a frame, a patient support surface configured to support the patient, and a powered device having a function. An input system is disposed in communication with the powered device and is configured to receive input data. A user control system is disposed in communication with the input system and comprises an authorization module. The authorization module is configured to access a permission level for a user dictating whether the user has permission to operate the powered device with the input system to perform the function. The authorization module is further configured to determine performance data relating to performance of the user in caring for the patient based on the input data, and to modify the permission level based on the performance data.

An access system for managing users engaged in providing care to patients. A patient support apparatus is provided and comprises a frame, a patient support surface configured to support the patient, and a powered device having a function. An input system is disposed in communication with the powered device and is configured to receive input data. A user control system is disposed in communication with the input system and comprises an authorization module. The authorization module is configured to access a permission level for a user dictating whether the user has permission to operate the powered device with the input system to perform the function. The authorization module is further configured to determine performance data relating to performance of the user in caring for the patient based on the input data, and to modify the permission level based on the performance data.

A building management system includes a building efficiency improvement system and method configured to monitor and control subsystems and equipment for improved efficiency of operation. A user device is configured to display a user interface for monitoring and controlling one or more building equipment efficiency parameters and settings. The building efficiency management system further includes a controller configured to collect and analyze data from equipment, generate displays of the operational status and efficiency levels, generate sets of alternative equipment control algorithms based on efficiency objectives, and present users with a set of alternative equipment control algorithms displayed via graphic user interface elements on the user device. The user device further provides a means to select and implement an alternate equipment control algorithm. The controller is further configured to receive inputs from the user device commanding changes to equipment controls and process transactions associated with changes to equipment configuration.

A method includes receiving uncompilable code from a candidate. The method further includes extracting features from the uncompilable code. The method further includes outputting, with a coding machine-learning model, compilable code based on the uncompilable code and the extracted features. The method further includes generating a coding score based on the uncompilable code and the compilable code. The method further includes receiving first media of one or more answers to questions provided by the candidate during an interview. The method further includes outputting, with a media machine-learning model, one or more corresponding ratings for the one or more answers. The method further includes generating a media score based on the one or more corresponding ratings. The method further includes generating a total score based on the coding score and the media score.