Abstract: The present invention relates to the technical field of power generation of power systems, and in particular to a power supply and energy storage system using carbon as a medium. The power supply and energy storage system generates energy by reacting carbon dioxide and air, collects carbon monoxide by providing a pressurizing apparatus and a gas storage apparatus, and sends the collected carbon monoxide back to an energy supply apparatus during power consumption peaks, thereby balancing power deficits of loads and renewable energy power generation, considering the stability, reliability, and economic efficiency of the power supply and energy storage system, and improving energy utilization efficiency.

Abstract: A method, system and external instrument are provided. The method initiates a communication link between an external instrument (EI) and an implantable medical device (IMD), established a first connection interval for conveying data packets between the EI and IMD and monitors a connection criteria that includes at least one of a data throughput requirement. A battery indicator or link condition of the communications link is between the IMD and EI. The method further changes from the first connection interval to a second connection interval based on the connection criteria.

Abstract: The present invention relates to the technical field of power generation of power systems, in particular to an offshore integrated power supply system based on clean energy. The integrated power supply system comprises a power generation unit for providing energy, an energy storage unit for storing energy, a load unit for consuming energy, an energy management system, and a fuel cell, wherein the power generation unit comprises a photovoltaic power generation system, a wind power generation system, and a tidal power generation system; the energy storage unit comprises hydrogen storage and a battery pack; and the energy management system connects the power generation unit, the load unit, and the energy storage unit, and allocates the surplus energy from the power generation unit to the hydrogen storage and the battery pack after satisfying the load unit.

Abstract: A time series anomaly detection method, system, and computer program product that processes time series data includes absorbing profiles of the time series data and anomaly types of a model as features, optimizing biased ranks to create optimized ranks through merging initial ranks with new ranks generated by real anomalies, and auto-suggesting the optimized ranks for saving a predetermined amount of data operation.

Abstract: A method, computer system, and a computer program product are provided for post-modeling feature evaluation. In one embodiment, at least at least one post model visual output and associated data is obtained that at least includes an individual conditional expectation (ICE) plot and a partial dependence (PDP) plot. Using the associated data and the plots, a Feature Importance (PI) plot is provided. A plurality of features is then determined for each PI, PDP and ICE plots to calculate at least one Interesting Value for each plot. An overall score is also calculated for each plurality of features based on the associated Interesting Values for each PDP, ICE and PI plots. At least one top feature is selected based on said scores. A final plot is then generated at least reflecting the top feature. The final plot combines the PI, PDP and ICE plots together.

Abstract: Disclosed are a computer-implemented method, a system and a computer program product for model exploration. Model feature importance of each model of a plurality of models can be obtained, the plurality of models can be grouped into a plurality of model clusters based on the model feature importance of each model, and the model feature importance can be presented by box-plot or confidence interval.

Abstract: In an approach, a processor selects a top N features for a machine learning (ML) model; discretizes values of each continuous feature of the top N features; generates a set of combination values that each represent a unique combination of feature values in for a data record; predicts, using the ML model, a target value for each record generating predicted target values; groups the predicted target values based on the combination value for each respective record; fits a distribution for each grouping of the predicted target values associated with a respective combination value generating a set of distributions; clusters and refits the set of distributions using a clustering algorithm resulting in a set of clusters and a refitted distribution for each cluster of the set of clusters; and outputs a visualization of the refitted distribution for each cluster as a distribution curve on a graph along with the associated records.

Abstract: An oscillating mirror for lidar has a mirror coupled with a rotor. The rotor is arranged to rotate about a pivot using one or more bearings. A mirror is coupled with the rotor and arranged to reflect light emitted from a laser. A first magnet is coupled with the rotor. A second magnet is coupled with a base. The second magnet is arranged to limit an angular rotation of the rotor by a pole of the second magnet facing a similar pole of the first magnet.

Abstract: Provided are a determination method and apparatus of a main shaft bearing state, an electronic device, and a storage medium. The method includes the following steps: Bearing swing data of a target main shaft bearing at multiple moments within a preset time period are acquired; at least one current data period and current-period bearing swing data in each current data period are determined according to the multiple pieces of bearing swing data; a first abrupt change value and a second abrupt change value are determined according to the current-period bearing swing data in each current data period; and a main shaft bearing state of the target main shaft bearing is determined according to the first abrupt change value and the second abrupt change value.

Abstract: An electro-optical component, such as a laser or detector, on a module is aligned with a base, or lens system, for an optical sensor, such as a lidar sensor. Translating stages, or a robotic arm, can be used to rotate and translate the module into position. Two or more cameras can be used for ascertaining precise alignment of the electro-optical component.

Abstract: A scanning lidar has an illumination source comprising a plurality of lasers and a mirror system. The mirror system reflects light from the illumination source into an environment within a field of view. The mirror system includes a mirror arranged to rotate to reflect light from the illumination source to scan light from the plurality of lasers horizontally within the field of view of the system. The mirror system reflects light from the illumination source to position light, in discrete vertical steps, from the plurality of lasers vertically within the field of view.

Abstract: A scanning lidar system includes a first lens having a first lens center and characterized by a first optical axis and a first surface of best focus, a second lens having a second lens center and characterized by a second optical axis, a platform separated from the first lens and the second lens along the first optical axis, and an array of laser sources mounted on the platform. Each laser source of the array of laser sources has an emission surface lying substantially at the first surface of best focus of the first lens and positioned at a respective laser position. The scanning lidar system further includes an array of photodetectors mounted on the platform. Each photodetector of the array of photodetectors is positioned at a respective photodetector position that is optically conjugate with a respective laser position of a corresponding laser source.

Abstract: A method of three-dimensional imaging includes scanning a LiDAR system in a first direction with a first frequency and in a second direction with a second frequency that is different from the first frequency, so that a laser beam emitted by each laser source of the LiDAR system follows a Lissajous pattern. The method further includes emitting, using each laser source, a plurality of laser pulses as the LiDAR system is scanned in the first direction and the second direction; detecting, using each detector of the LiDAR system, a portion of each laser pulse of the plurality of laser pulses reflected off of one or more objects; determining, using a processor, a time of flight for each respective laser pulse from emission to detection; and acquiring a point cloud of the one or more objects based on the times of flight of the plurality of laser pulses.

Abstract: In a multi-source LiDAR, light from a first illumination source is reflected by rotating mirror into a first field of view, and light from a second illumination source is reflected by the rotating mirror into a second field of view. The second field of view can be arranged to partially overlap the first field of view to provide higher resolution in a region of interest.

Abstract: A rotating mirror for LiDAR has a first side and a second side of unequal width. As the rotating mirror spins, light from an illumination source scans different widths of a field of view. By scanning different widths of a field of view, higher resolution can be arranged in a region of interest.

Abstract: A scanning LiDAR system includes a base frame, an optoelectronic assembly, and a lens assembly. The optoelectronic assembly includes one or more laser sources and one or more photodetectors, and is fixedly attached to the base frame. The lens assembly includes one or more lenses. The one or more lenses have a focal plane. The scanning LiDAR system further includes a first flexure assembly flexibly coupling the lens assembly to the base frame. The first flexure assembly is configured such that the one or more laser sources and the one or more photodetectors are positioned substantially at the focal plane of the one or more lenses. The first flexure assembly is further configured to be flexed so as to scan the lens assembly laterally in a plane substantially perpendicular to an optical axis of the emission lens.

Abstract: A system for detecting road debris using LiDAR includes an illumination module and a detection module. The illumination module and the detection module are arranged on a vehicle. The illumination module in contained in a first housing, and the detection module is contained in a second housing. The first housing is separated from the second housing so that the detection module is offset from the illumination module.

Abstract: A LiDAR system includes a first optical lens, and one or more first optoelectronic packages spaced apart from the first optical lens along the optical axis of the first optical lens. Each respective first optoelectronic package includes a first plurality of optoelectronic components positioned on the respective first optoelectronic package such that a surface of each respective optoelectronic component lies substantially on the first surface of best focus. The LiDAR system further includes a second optical lens, and one or more second optoelectronic packages spaced apart from the second optical lens along the optical axis of the second optical lens. Each respective second optoelectronic package includes a second plurality of optoelectronic components positioned on the respective second optoelectronic package such that a surface of each respective optoelectronic component lies substantially on the second surface of best focus.

Abstract: A lidar system includes a laser source, an emission lens configured to collimate and direct a laser beam emitted by the laser source, a receiving lens configured to receive and focus a return laser beam reflected off of one or more objects to a return beam spot at a focal plane of the receiving lens, and a detector including a plurality of photo sensors arranged as an array at the focal plane of the receiving lens. Each photo sensor has a respective sensing area and is configured to receive and detect a respective portion of the return laser beam. The lidar system further includes a processor configured to determine a respective time of flight for each respective portion of the return laser beam, and construct a three-dimensional image of the one or more objects based on the respective time of flight for each respective portion of the return laser beam.

Abstract: A headlamp module of a vehicle includes a housing including a window, an illumination submodule disposed inside the housing and configured to provide illumination light to be transmitted through the window toward a scene in front of the vehicle, and a first LiDAR sensor disposed inside the housing and laterally displaced from the illumination submodule. The first LiDAR sensor includes one or more laser sources configured to emit laser beams to be transmitted through the window toward the scene, the laser beams being reflected off of one or more objects in the scene, thereby generating return laser beams to be transmitted through the window toward the first LiDAR sensor and one or more detectors configured to receive and detect the return laser beams.