Abstract: A heating control apparatus and method for an escalator system or automatic walkway system, an escalator system and automatic walkway system including the heating control apparatus, and a computer-readable storage medium on which a computer program for implementing the method is stored. A heating control apparatus for an escalator system or automatic walkway system includes: memory; a processor coupled with the memory; and a computer program stored on the memory and running on the processor, the running of the computer program causes: A. obtaining ambient status and device status of the escalator system or automatic walkway system, the ambient status includes ambient temperature and ambient humidity; and B. generating a control command regarding a heater of the escalator system or automatic walkway system based on the ambient status and the device status.

Abstract: Technologies for monitoring input feature health for machine learning models and detecting anomalies are described. Embodiments include receiving, by a trained machine learning model and from an online system, a set of historical values and a current feature value of a time series feature, the time series feature represents one or more measured values of the online system. Embodiments include predicting an expected feature value and an expected range of values using the set of historical values. Embodiments include receiving the expected feature value and the expected range of values. Embodiments include receiving the current feature value. Embodiments include determining that an anomaly condition is present based on the current feature value, the expected feature value, and the expected range of values. Embodiments include generating an alert for the anomaly condition that includes the severity metric and the duration metric.

Abstract: A device and method for determining operating modes of an AC asynchronous three-phase motor in an escalator system and computer-readable storage medium on which a computer program for implementing the method is stored. The operating modes include a first operating mode and a second operating mode, the AC asynchronous three-phase motor adopts a triangular wiring mode and a star wiring mode in the first operating mode and the second operating mode, respectively, the device includes: a memory; a processor coupled with the memory; and a computer program stored on the memory and running on the processor, the running of the computer program causes: A. obtaining a slip rate of the AC asynchronous three-phase motor; and B. determining whether the AC asynchronous three-phase motor needs to be switched between the first operating mode and the second operating mode based on the slip rate.

Abstract: A device and method for determining operating modes of an AC asynchronous three-phase motor in an escalator system and computer-readable storage medium on which a computer program for implementing the method is stored. The operating modes include a first operating mode and a second operating mode, the AC asynchronous three-phase motor adopts a triangular wiring mode and a star wiring mode in the first operating mode and the second operating mode, respectively, the device includes: a memory; a processor coupled with the memory; and a computer program stored on the memory and running on the processor, the running of the computer program causes: A. obtaining a slip rate of the AC asynchronous three-phase motor; and B. determining whether the AC asynchronous three-phase motor needs to be switched between the first operating mode and the second operating mode based on the slip rate.

Abstract: The present application relates to a control system and a method for controlling a passenger conveying apparatus, and a computer-readable storage medium for implementing the method. A control apparatus for a passenger conveying apparatus according to an aspect of the present application comprises: a processor; a memory coupled with the processor; a communication module coupled with the processor; and a computer program stored on the memory and running on the processor, the running of the computer program causes: in response to an internal control command of the control apparatus or an external control command outside the control apparatus, determining whether there is a passenger boarding signal in the passenger conveying apparatus within a specified time interval, wherein the internal control command and the external control command comprise commands for starting or stopping the passenger conveying apparatus; and manipulating the passenger conveying apparatus based on the determining.

Abstract: In a predictive path planning functionality for a transportation vehicle data describing a roadway are acquired by one or more sensors disposed on the transportation vehicle and analyzed. One or more predicted paths are predicted with at least one neural network. Data describing a reference path taken by the transportation vehicle are acquired. The one or more predicted paths are evaluated to detect one or more errors in the predicting operation wherein the one or more errors include an indication that the one or more predicted paths of the path planning system deviate from the reference path.

Abstract: Devices, systems, and methods related to autonomous transportation vehicle operation may include image augmentation arrangements for training and/or evaluating autonomous operations. Such augmentations may include artificial impressions of driving conditions which can prompt recovery operations.

Abstract: Disclosed embodiments provide systems and methods for transforming real-world images for augmentation of image data for improvement of training data sets utilized by machine learning algorithms to provide autonomous and/or assistive driving functionality.

Abstract: Disclosed embodiments provide systems and methods for transforming real-world images for augmentation of image data for improvement of training data sets utilized by machine learning algorithms to provide autonomous and/or assistive driving functionality.

Abstract: Disclosed embodiments provide systems and methods for detecting and storing information describing errors in a predictive path planning functionality of a neural network.

Abstract: Devices, systems, and methods related to autonomous transportation vehicle operation may include image augmentation arrangements for training and/or evaluating autonomous operations. Such augmentations may include artificial impressions of driving conditions which can prompt recovery operations.