Abstract: Crowd sourced data from mobile devices may be used to estimate site locations. In addition, machine learning models may be used to filter out any inaccurate crowd sourced data before using algorithms to estimate the cell site location. An apparatus may include a processor and a memory coupled with the processor that effectuates operations. The operations may include receiving data associated with a location of plurality of devices that have connected with a base station in a geographic area; determining a machine learning model to apply to the received data based on the type of data, wherein the machine learning model is a clustering model; performing the clustering model on the received data; based on the performing the clustering model on the received data, obtaining representative data that excludes outliers in the received data; based on the representative data, determining a location of the base station in the geographic area; and sending a message with the location of the base station.

Abstract: Aspects of mmWave beam tracking and beam sweeping are described, for example, spatial searching operations, directional beam forming, complex channel measurement operations, and adaptive power savings. Some aspects include using priori information for mmWave beam tracking and beam sweeping. Some aspects include using priori information to modify a superset of beam criteria to obtain a subset of beam criteria, select a spatial region according to the subset of beam criteria, and initiate a spatial searching operation within the spatial region for establishing a communication link. Some aspects include obtaining complex channel measurements of beams and combining the measurements with priori information to determine a beam for use in a communication link. Some aspects include providing signals from Nr over K1 input/output (IO) links and receiving signals over K1 IO links, and combining signals received over the K1 IO links, using a compression matrix, to generate signals over K IO links.

Abstract: Provided are a lock and a case having the same. The lock includes a lock tongue; a key lock mechanism including a lock core and a lock block; and a password wheel lock mechanism including a spindle and a password wheel. When the password wheel and the lock core are locked, the spindle and the lock block are locked by the password wheel and the lock core, respectively. The spindle abuts against the lock block and the lock block abuts against the lock tongue so that the lock tongue is kept in a locking position. When the password wheel is unlocked, the spindle cancels the abutting against the lock block and the lock block cancels the abutting against the lock tongue. When the lock core is unlocked, the lock block is driven to move to an avoidance position so that the lock block cancels the abutting against the lock tongue.

Abstract: Provided are a lockset and a case. The lockset includes a housing, a lock bolt and a key lock mechanism. The key lock mechanism includes a lock lever, an unlocking button and a lock core. The lock lever can rotate along with the lock core and can drive the lock core to slide. The unlocking button is hooked to the lock bolt and can slide along with the lock lever. When the lock core is locked, the lock lever abuts against the lock bolt to keep the lock bolt in a locked position and when the lock core is unlocked, the lock core drives the lock lever to rotate by a preset angle in an unlocking direction and drives the unlocking button to slide to make the unlocking button hooked to the lock bolt and thereby make the lock bolt move to an unlocked position.

Abstract: A control method and system for refrigeration, oil return and noise reduction of a multi-split air-conditioner. The method comprises: when the accumulative time that the frequency of a compressor is smaller than the set frequency threshold reaches the oil return cycle and a standby indoor unit exists, conducting an oil return running mode; resetting the accumulative time; starting counting the oil return running time; calculating the indoor unit starting load; determining the opening degree of an expansion valve of the standby indoor unit according to the indoor unit starting load and whether there is anyone in a room where the standby indoor unit is located; controlling the compressor to run according to the set oil return frequency; and when the oil return running time reaches the oil return set time, exiting the oil return running mode, and conducting a normal refrigerating running mode.

Abstract: The present disclosure discloses a method and device for detecting a state of holding a steering wheel, wherein the method includes: a detection result is obtained by detecting a video stream collected from a target vehicle; an associated state of the first ROI information and the second ROI information in the two-dimensional plane carried in the detection result is obtained, wherein the first ROI information is ROI information about the steering wheel of the target vehicle, and the second ROI information is ROI information about the driver's hand of the target vehicle; a current state between the hand of the driver and the steering wheel of the target vehicle is determined according to the associated state. Then, the disclosure solves the technical problem in the related art that it is impossible to detect the grasping state of the steering wheel by the driver while driving.

Abstract: Crowd sourced data from mobile devices may be used to estimate site locations. In addition, machine learning models may be used to filter out any inaccurate crowd sourced data before using algorithms to estimate the cell site location. An apparatus may include a processor and a memory coupled with the processor that effectuates operations. The operations may include receiving data associated with a location of plurality of devices that have connected with a base station in a geographic area; determining a machine learning model to apply to the received data based on the type of data, wherein the machine learning model is a clustering model; performing the clustering model on the received data; based on the performing the clustering model on the received data, obtaining representative data that excludes outliers in the received data; based on the representative data, determining a location of the base station in the geographic area; and sending a message with the location of the base station.

Abstract: Provided is a magnetically fastening apparatus. The magnetically fastening apparatus includes a zipper tab and a lock body. The zipper tab can fit with the lock body by magnetic attraction. The lock body is provided with a control member. The control member has a locking position and an unlocking position. The zipper tab can fit with the lock body by magnetic attraction when the control member is in the locking position. The zipper tab and the lock body are configured to release the magnetic attraction relationship between the zipper tab and the lock body when the control member is in the unlocking position.

Abstract: Provided is a luggage lock including a zipper tab and a lock body. The lock body includes a housing, a lock hook mechanism and a drive mechanism. The housing is provided with at least one lock hole capable of being in fit with the zipper tab. The lock hook mechanism is disposed in the housing and includes a snap hook assembly, the snap hook assembly is movable between a locking position and an unlocking position, the locking position is aligned with one lock hole, and the unlocking position is located outside the one lock hole. The drive mechanism is disposed in the housing and is capable of driving the snap hook assembly to move between the locking position and the unlocking position.

Abstract: In various exemplary embodiments, a system and associated method predict auto-complete recommendations for a partial search request. A search engine receives a partial search request with one or more characters from a client device. A first set of auto-complete recommendations corresponding to the one or more characters of the partial search request are identified. A second partial search request is predicted that comprises a set of characters with one or more additional characters added to the one or more characters from the partial search request. A second set of auto-complete recommendations corresponding to the second partial search request is identified. The first set of auto-complete recommendations and the second set of auto-complete recommendations are returned to the client device as a response to the partial search request.

Abstract: A shearer cutting unit with double-speed rollers includes a motor driving unit, a motor driving unit, a gear transmission unit and a roller output unit. The motor driving unit includes a left cutting motor and a right cutting motor which are both arranged in a cutting unit case and connected with the roller output unit in a transmission way through the gear transmission unit. The roller output unit comprises a middle output shaft (3-1), a far-end output shaft, a middle support frame, a middle roller, a far-end support frame and a far-end roller. A cutting roller is separated into two coaxially-rotating parts, and the two rollers can rotate in different speeds.

Abstract: Aspects of mmWave beam tracking and beam sweeping are described, for example, spatial searching operations, directional beam forming, complex channel measurement operations, and adaptive power savings. Some aspects include using priori information for mmWave beam tracking and beam sweeping. Some aspects include using priori information to modify a superset of beam criteria to obtain a subset of beam criteria, select a spatial region according to the subset of beam criteria, and initiate a spatial searching operation within the spatial region for establishing a communication link. Some aspects include obtaining complex channel measurements of beams and combining the measurements with priori information to determine a beam for use in a communication link.

Abstract: A shearer cutting unit with double-speed rollers includes a motor driving unit, a motor driving unit, a gear transmission unit and a roller output unit. The motor driving unit includes a left cutting motor and a right cutting motor which are both arranged in a cutting unit case and connected with the roller output unit in a transmission way through the gear transmission unit. The roller output unit comprises a middle output shaft (3-1), a far-end output shaft, a middle support frame, a middle roller, a far-end support frame and a far-end roller. A cutting roller is separated into two coaxially-rotating parts, and the two rollers can rotate in different speeds.

Abstract: A support tensor machine based neutral point grounding mode decision method and system adopts a support tensor machine method Based on three indexes, i.e., the power supply reliability index, safety index, and economical efficiency index, influences of different neutral point grounding modes are analyzed by employing the support tensor machine method to finally obtain a neutral point grounding mode capable of maximizing power supply reliability of a distribution network.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for acquiring information. A specific implementation of the method includes: acquiring a plurality of pieces of positioning data in a preset time period and a plurality of pieces of captured data captured by a WLAN probe device of a target point of interest in the preset time period; and finding, from the plurality of pieces of positioning data, a plurality of pieces of positioning data meeting a preset condition, and generating, based on the plurality of pieces of positioning data meeting the preset condition, indication information indicating whether the WLAN probe device being abnormal. The method realizes the evaluation of whether the WLAN probe device is abnormal, whether the deployment location of the WLAN probe device is reasonable, and whether it is necessary to add WLAN probe devices.

Abstract: Embodiments of methods and apparatuses for acquiring information are provided. One implementation of the method can include: determining an initial area corresponding to a target point of interest, and dividing the initial area corresponding to the target point of interest into a plurality of grids; and generating annotations of the plurality of grids respectively based on characteristics of the plurality of grids. Therefore, whether the user data associated with the each of the plurality of grids is used to generate the attribute of the target point of interest may be directly determined based on the annotation of the each of the plurality of grids, thereby saving the spending of the process of acquiring the user data required for generating the attribute of the target point of interest in data mining. The operation state of the target point of interest may be determined based on the annotation of the grid.

Abstract: In various exemplary embodiments, a system and associated method for prioritizing search results in an electronic environment is disclosed. In one embodiment, a plurality of characters is received from an end-user as a query. A plurality of equivalent keywords is selected responsive to the query with each of the equivalent keywords being evaluated based on a probability of matching the query of the end-user. A rank of each of the equivalent keywords is determined to form a response, which is then transmitted to the end-user. Other methods and related systems are disclosed.

Abstract: In various exemplary embodiments, a system and associated method predict auto-complete recommendations for a partial search request. A search engine receives a partial search request with one or more characters from a client device. A first set of auto-complete recommendations corresponding to the one or more characters of the partial search request are identified. A second partial search request is predicted that comprises a set of characters with one or more additional characters added to the one or more characters from the partial search request. A second set of auto-complete recommendations corresponding to the second partial search request is identified. The first set of auto-complete recommendations and the second set of auto-complete recommendations are returned to the client device as a response to the partial search request.

Abstract: A support tensor machine based neutral point grounding mode decision method and system adopts a support tensor machine method Based on three indexes, i.e., the power supply reliability index, safety index, and economical efficiency index, influences of different neutral point grounding modes are analyzed by employing the support tensor machine method to finally obtain a neutral point grounding mode capable of maximizing power supply reliability of a distribution network.

Abstract: In various exemplary embodiments, systems and associated methods to predict search results in an electronic environment are disclosed. In one embodiment, a method to provide responses to a search request includes receiving, from an end-user, one or more characters that form a portion of the search request. Prior to receiving a completed version of the search request from the end-user, a plurality of keywords is predicted based on the one or more characters. The prediction is based on the most probable keywords selected from a plurality of prior requests stored in a database. A plurality of responses is prepared based on the most probable keywords. The responses are fit within a single communications packet and returned as a reply to the search request. Other systems and methods are disclosed.