Abstract: Determining gait patterns and abnormalities of a user includes forming a plurality of point clouds corresponding to the user, each of the point clouds being three-dimensional coordinates of moving points, frame by frame, through a data capturing session, determining centroids of the point clouds, determining momentary walking velocities using estimates based on vectors connecting the centroids for adjacent frames captured during walking of the user, determining gait speed for the user based on the momentary walking velocities, determining at least one distribution of gait speeds for the user, and detecting gait abnormalities based on deviation of the gait speed from the at least one distribution of gait speeds. Detecting a plurality of point clouds may include using a tracking device to capture movements of the user. The tracking device may use radar and/or lidar. The system may determine a gait pattern of the user corresponding to routines of the user.

Abstract: A mounting bracket for a ceiling lamp includes a support frame and a lamp bracket body removably mounted on the support frame. The support frame includes a frame body, a locking hook mounted on a first side of the frame body, and a limit locking plate mounted on a second side of the frame body. The limit locking plate includes a fixed portion secured to the frame body, a connecting portion connected with the fixed portion, a limit portion connected with the connecting portion, and a locking portion connected with the limit portion. The lamp bracket body has a first side provided with a first function portion and a second side provided with a second function portion. In assembly, the locking hook is mounted on the first function portion, and the limit locking plate is mounted on the second function portion.

Abstract: This application relates to a technique that enables efficient indexing and querying of a set of documents stored at a computing device. The technique assigns a rank to each term of a set of terms based on a historical occurrence of each term to produce a set of ranked terms. The technique also creates subsets that include terms from the set of ranked terms to produce ranked term subsets that are encoded in accordance with an allocated bit size. The technique generates an index for each document of the set of documents through: (1) the identification of the ranked term subsets within the document, (2) the generation of arrays to store each ranked term subset identified within the document, and (3) the embedding of metadata within the document. The metadata includes: (i) one or more arrays and (ii) one or more counts corresponding to each array.

Abstract: A ceiling lamp includes a main unit and a wall plate detachably mounted on a top of the main unit. The main unit is provided with a membrane button for regulating a color temperature of the ceiling lamp. The membrane button is arranged on a bottom face or an outer face of the main unit. The main unit includes a lamp body, and a lamp disk mounted on the lamp body from bottom to top. The lamp body includes a rear cover, a heatsink disk, a light emitting diode (LED) driver, an LED module, and a light output module. The heatsink disk is mounted on a bottom of the rear cover. The LED module is mounted between the heatsink disk and the light output module. The LED driver is connected with the LED module.

Abstract: Methods and apparatus for neural network arrays are disclosed. In an embodiment, a neural network array includes a plurality of strings, each string having a drain select gate transistor connected to a plurality of non-volatile memory cells that are connected in series and function as synapses, and a plurality of output nodes, each output node connected to receive output signals from a plurality of drain terminals of the drain select gates. The array also includes a plurality of input nodes, each input node connected to provide input signals to a plurality of gate terminals of the drain select gates, and a plurality of weight select signals connected to the plurality of non-volatile memory cells in each string, respectively. Each weight select signal provides a selected voltage to a selected non-volatile memory cell to cause the selected non-volatile memory cell to conduct current according to a selected characteristic of the selected non-volatile memory cell.

Abstract: Systems and methods are provided for digital assistant configuration and functionality. For example, systems and methods provide for receiving a query from a user via a computing device, processing language in the query to identify a plurality of elements associated with the query, and analyzing the plurality of elements associated with the query to determine an intent of the query by mapping the plurality of elements associated with the query to a list of predetermined intents by comparing the plurality of elements associated with the query to each intent in the list of predetermined intents to generate a score for each intent in the list of predetermined intents. Systems and methods further provide for determining a subset of the predetermined intents based on the score for each intent in the list of predetermined intents, and providing recommendations related to the query based on the subset of predetermined intents.

Abstract: A lamp includes a heat radiating housing, an LED terminal seat mounted in the heat radiating housing, an LED light mounted in the LED terminal seat, a positioning seat mounted on the LED terminal seat, a mounting seat mounted on the positioning seat, a focus adjusting seat mounted on the positioning seat and corresponding to the mounting seat, and a lens mounted in the mounting seat. The positioning seat has an inner face provided with two guide grooves extending in a spiral direction. The focus adjusting seat is provided with two directing slots. The mounting seat has an outer face provided with two guide pins locked in the two directing slots. The two guide pins are slidably mounted in the two guide grooves.

Abstract: Configurable three-dimensional neural network array. In an exemplary embodiment, a three-dimensional (3D) neural network array includes a plurality of stacked synapse layers having a first orientation, and a plurality of synapse lines having a second orientation and passing through the synapse layers. The neural network array also includes synapse elements connected between the synapse layers and synapse lines. Each synapse element includes a programmable resistive element. The neural network array also includes a plurality of output neurons, and a plurality of select transistors connected between the synapse lines and the output neurons. The gate terminals of the select transistors receive input signals.