Abstract: The invention relates to a method for triggering an acquisition of image data of an empty elevator car. The method comprises obtaining door status data representing a status of the door of the elevator car, obtaining occupancy status data representing an occupancy status of the elevator car, detecting based on the obtained door status data that the door of the elevator car is closed, detecting based on the obtained occupancy status data that the elevator car is empty, and generating a control signal to an imaging device arranged inside the elevator car in response to the detecting that the door of the elevator car is closed and the elevator car is empty. The control signal comprises an instruction to trigger the acquisition of the image data of the empty elevator car. The invention relates also to a triggering system for triggering an acquisition of image data of an empty elevator car and to an elevator system comprising a triggering system.

Abstract: A display system and a power-saving method thereof are provided. In a first standby mode, a control circuit of a display device detects whether a preset pin of a signal input port generates a voltage variation or maintains at a preset voltage value during a preset period. When the control circuit detects the voltage variation or the preset voltage value, the control circuit switches the display device to a second standby mode and generates an output signal according to an input signal received by the signal input port, and allows the output signal to be transmitted to the signal output port, or establishes a network connection according to the input signal. When the control circuit does not detect the voltage variation nor the preset voltage, the first standby mode is maintained by the control circuit.

Abstract: An energy harvesting roadway that includes a plurality of road segments and a power storage device electrically coupled to the plurality of road segments. Each of the plurality of road segments can include a surface asphalt layer, a first conductive asphalt layer located under the surface asphalt layer, a piezoelectric-based asphalt layer located between the first conductive layer and a second conductive layer located above a base asphalt layer. The piezoelectric-based asphalt layer can include a plurality of rigid piezoelectric elements and an insulating filler.

Abstract: Techniques are described with respect to a system, method, and computer product for voice-based augmented reality locomotion. An associated method includes receiving a first linguistic input; and determining a label and a duration associated with the linguistic input based on an analysis of the first linguistic input. The method further including converting the label into a heading and the duration into a magnitude in a virtual environment; and merging the heading and magnitude in a vector in the virtual environment.

Abstract: Video analysis by receiving video data associated with a multi-participant meeting, identifying a first participant viewpoint, a related argument and an authority level of a viewpoint-argument, from the video data using a machine learning model, identifying a first topic within the video data, correlating the first participant viewpoint to the first topic, determining a distance between the first participant viewpoint and a second participant viewpoint, the second participant viewpoint correlated to the first topic, and providing a depiction of a relationship between the first participant viewpoint and the second participant viewpoint according to the distance.

Abstract: According to one embodiment, a method, computer system, and computer program product for mixed reality is provided. The present invention may include receiving 3D hand keypoints (keypoints) of a user's visible hand joints from the user's capturable hand, and visible hand joints, if any, from the user's uncapturable hand; using random noise sampled with a unit normal distribution as initial keypoints for the uncapturable hand joints from the user's uncapturable hand; inputting the received and the initial keypoints, in a preset order, into a trained 3D hand joint generative model; performing an iterative refinement of the uncapturable hand joints from the user's uncapturable hand using the trained 3D hand joint generative model; identifying whether generated keypoints of the user's uncapturable hand are synchronized with the keypoints of the user's capturable hand; and rendering the generated 3D keypoints for the user's uncapturable hand joints using a 3D virtual hand modeler.

Abstract: Various examples of methods and systems are provided related to functional deep neural networks (FDNNs), which can be used for high dimensional data analysis. In one example, a FDNN can be trained with a training set of omic data to produce a trained FDNN model. The likelihood of a condition can be determined based upon output indications of the FDNN corresponding to the one or more phenotypes, with the output indications based upon analysis of omic data including a multi-level omic profile from an individual by the trained FDNN. The FDNN model can include a series of basis functions as layers to capture complexity between the omic data with disease phenotypes. A treatment or prevention strategy for the individual can be identified based at least in part upon the likelihood of the condition.

Abstract: A display system and a power-saving method thereof are provided. In a first standby mode, a control circuit of a display device detects whether a preset pin of a signal input port generates a voltage variation or maintains at a preset voltage value during a preset period. When the control circuit detects the voltage variation or the preset voltage value, the control circuit switches the display device to a second standby mode and generates an output signal according to an input signal received by the signal input port, and allows the output signal to be transmitted to the signal output port, or establishes a network connection according to the input signal. When the control circuit does not detect the voltage variation nor the preset voltage, the first standby mode is maintained by the control circuit.

Abstract: A sensor for sensing a fill level of a space includes a housing, a circuit board, a camera, a distance measuring sensor and a controller. The controller is in communication connection with the camera and the distance measuring sensor to calculate the fill level of a space according to the input from the camera and the distance measuring sensor. An elevator includes the sensor for sensing the fill level of the elevator car space. A method for sensing and determining a fill level of a space like an elevator car without utilizing the gravity load can better identify the objects in the space and further calculate the fill level of the space according to the identified images, and can be used as a substitute or a beneficial supplement for gravity load determination.

Abstract: A method for facilitating user input into a form of a graphical user interface is disclosed. In one embodiment, such a method includes receiving a form implemented on a graphical user interface. The form has multiple fields. The method automatically scans the form to determine relationships such as dependencies between the fields and automatically generates a knowledge graph that describes the fields and their relationships. The fields may be represented as nodes in the knowledge graph. The method enables a user to select a designated field in the form and display the knowledge graph to show relationships between the designated field and other fields in the form. A corresponding system and computer program product are also disclosed.

Abstract: Various examples are provided related to the application of a kernel neural network (KNN) to the analysis of high dimensional and ultrahigh dimensional data for, e.g., risk prediction. In one embodiment, a method includes training a KNN with a training set to produce a trained KNN model, determining a likelihood of a condition based at least in part upon an output indication of the trained KNN corresponding to one or more phenotypes, identifying treatment or prevention strategy for an individual based at least in part upon the likelihood of the condition. The KNN model includes a plurality of kernels as a plurality of layers to capture complexity between the data with disease phenotypes. The training set of data includes genetic information applied as inputs to the KNN and the phenotype(s), and the output indication is based upon analysis of data comprising genetic information from the individual by the trained KNN.

Abstract: Embodiments relate to decoding communications with token sky maps. At least one electronic communication including emoticons having a non-original meaning is received. A candidate meaning is determined for the emoticons having the non-original meaning in the at least one electronic communication based at least in part on token neighborhood distribution structures. The candidate meaning for the emoticons having the non-original meaning is caused to be displayed on at least one device.

Abstract: A method, computer system, and a computer program product for syllable-based pronunciation help are provided. An input text in a first language may be received. A selection of a target language that is different from the first language may be received. From the target language, syllables with a pronunciation most closely matching a pronunciation of the input text in the first language are obtained. The obtaining is based on a comparison of one or more spectrograms for the input text with one or more spectrograms for text of the target language. The obtained syllables in the target language are presented.

Abstract: An energy harvesting roadway that includes a plurality of road segments and a power storage device electrically coupled to the plurality of road segments. Each of the plurality of road segments can include a surface asphalt layer, a first conductive asphalt layer located under the surface asphalt layer, a piezoelectric-based asphalt layer located between the first conductive layer and a second conductive layer located above a base asphalt layer. The piezoelectric-based asphalt layer can include a plurality of rigid piezoelectric elements and an insulating filler.

Abstract: A connection manner identification method includes power sourcing equipment separately sending load adjustment indications to powered devices by using data ports, where each load adjustment indication in the load adjustment indications indicates a corresponding powered device to adjust a load. The powered devices are separately connected to power supply ports of the power sourcing equipment by using power supply cables, and the powered devices are separately connected to the data ports of the power sourcing equipment by using data cables. The power sourcing equipment obtains output power changes of the power supply ports caused by load adjustment of the powered devices, and the power sourcing equipment determines, based on the output power changes, a first data port and a power supply port that are connected to a same powered device in the powered devices.

Abstract: It has been discovered that phosphorylation-dependent uncoupling of endothelial nitric oxide synthase (eNOS) plays an important role in endothelial cell (EC) barrier disruption. Compositions and methods to reduce or prevent eNOS uncoupling are disclosed. Decoy peptides that can prevent phosphorylation and mitochondrial redistribution of eNOS, reduce eNOS uncoupling, and preserve EC barrier function, and uses thereof, are described. The peptides improve lung vascular integrity in a mouse model of VILI. Thus, the decoy peptides can be used to treat or prevent diseases or disorders associated with increased vascular permeability such as ALI, ARDS, and VILI.

Abstract: A transformer and a power supply device. In the transformer, the first secondary coil including: first and second plate coils; and a first holding portion formed therebetween, the second secondary coil including: third and fourth plate coils; and a second holding portion formed therebetween, the first secondary coil is arranged between the third and fourth coils, the ends of the first plate coil and third plate coil are connected by solder, and the ends of the second plate coil and fourth plate coil are connected by solder, when the secondary-side rectifier circuit is a center-tapped rectifier circuit, the first holding portion, the second holding portion, and the bus bar are connected by solder through the connection hole, when the secondary-side rectifier circuit is a rectifier circuit other than the center-tapped rectifier circuit, the first holding portion and the second holding portion are connected by solder through the connection hole.

Abstract: A GA-PSO-BP neural network is provided for performing a measurement of a coaxiality error of parts of a rotary equipment and predicting a coaxiality of parts of the rotary equipment in order to solve a problem that a coaxiality error of saddle surface parts is difficult to calculate by building a traditional mathematical model based on a three-dimensional coordinate system transformation due to serious deformation of fitting surfaces of spigots. The GA-PSO-BP neural network method includes the steps of analyzing an influence source of the coaxiality error of multi-stage parts after assembly; then taking an error source as an input and the coaxiality error of the multi-stage parts after assembly as an output; and introducing a genetic algorithm to optimize an initial weight and threshold of a BP neural network, and introducing a particle swarm optimization to find optimal solutions of hyperparameters.