Abstract: The present invention relates to the field of elevator braking, in particular to an action state detection method and system for an elevator brake, comprising: acquiring matching pairs of brake linings in the same braking state; constructing normal record data sets based on the matching pairs; grouping the normal record data sets based on braking power corresponding to samples in the normal record data sets to determine a median of elevator running speed corresponding to the samples in each group; dividing the operating state levels of the elevator brake according to the size of the median; constructing a data training set; training a constructed network model to obtain a trained network model; acquiring the operating state levels of an elevator to be detected by the trained network model, evaluating the elevator brake according to the operating state levels, and controlling the elevator.

Abstract: A method of automatic load regulation, operation and protection for steam turbine and motor combined drive and power generation in converter saturated steam utilization, which relates to the technical field of low-pressure saturated steam utilization, to solve the problems of steam instability, low energy utilization efficiency, and unstable system operation in existing technique. Technical points: S1. setting engagement speed; S2. speed control mode; S3. switching to a valve control mode after successfully engagement; S4. valve position automatic mode activation; S5. entering automatic mode; S6. reducing the valve position adjustment rate; S7. reading, by the DCS of the drive steam turbine system, the comprehensive thermal storage index value and the preset valve position corresponding to the thermal storage value; adjusting the valve position to the valve position corresponding to the read heat storage value.

Abstract: A sensor system is disclosed. The sensor system may comprise a housing; an emitter, carried by the housing, that emits a beam comprising depth-data signals; a beam-distribution adjustment system; and a processor programmed to control the adjustment system by selectively changing an angular distribution of the depth-data signals emitted from the housing.

Abstract: A determination is made as to whether a computing device is located inside a first geofence of a geofence environment. A first location determination mode available to the computing device for determining a location of the computing device is identified. A second location determination mode available to the computing device for determining a location of the computing device is identified, wherein the second location determination mode consumes less power than the first location determination mode. A selection is made between the first location determination mode and the second location determination mode, based on the determination of whether the computing device is located inside the first geofence. A next location of the computing device is determined using the selected location determination mode, a next location of the computing device.

Abstract: This disclosure is directed to a system for determining optimum setpoints for equipment in an industrial process. In some embodiments, the system does not use first-principles models to determine ideal setpoints. Instead, the system uses actual historical data and determines the setpoints at which the highest and/or longest key performance indexes were achieved according to some embodiments. In some embodiments, the system is able to save computer resources by reducing processing power through the use of a survival matrix as opposed to an iterative model. In some embodiments, the survival matrix is derived from statistical calculations on the historical data for KPI achieved timeframes.

Abstract: Systems and methods for providing an authenticated groupcast stream of content to destination receivers are disclosed. A method may include receiving information indicating that a media capturing source(s) located at a premises and destination receivers are included in a group. Content captured from a media capturing source(s) may be received. The content may include an image(s)/video(s) and a destination network address associated with the destination receivers. The content may be copied. The number of copies of content may correspond to a number of the destination receivers. A respective copy of the content may be sent to the destination receivers.

Abstract: A determination is made as to whether a computing device is located inside a first geofence of a geofence environment. A first location determination mode available to the computing device for determining a location of the computing device is identified. A second location determination mode available to the computing device for determining a location of the computing device is identified, wherein the second location determination mode consumes less power than the first location determination mode. A selection is made between the first location determination mode and the second location determination mode, based on the determination of whether the computing device is located inside the first geofence. A next location of the computing device is determined using the selected location determination mode, a next location of the computing device.

Abstract: A preparation method of a silicon-based molecular beam heteroepitaxy material, a memristor, and use thereof are provided. A structure of the heteroepitaxy material is obtained by allowing a SrTiO3 layer, a La0.67Sr0.33MnO3 layer, and a (BaTiO3)0.5—(CeO2)0.5 layer to successively grow on a P-type Si substrate. The silicon-based epitaxy structure is obtained by allowing a first layer of SrTiO3, a second layer of La0.67Sr0.33MnO3, and a third layer of (BaTiO3)0.5—(CeO2)0.5 (in which an atomic ratio of BaTiO3 to CeO2 is 0.5:0.5) to successively grow at a specific temperature and a specific oxygen pressure. The preparation method of a silicon-based molecular beam heteroepitaxy material adopts pulsed laser deposition (PLD), which is relatively simple and easy to control, and can achieve the memristor function and neuro-imitation characteristics. A thickness of the first buffer layer of SrTiO3 can reach 40 nm.

Abstract: There is described herein a method for capturing circulating tumor DNA (ctDNA) of interest from an animal sample, preferably a mammalian sample, further preferably a human patient sample, comprising cell-free DNA (cfDNA), the method comprising: adding to the patient sample a library of nucleic acid hybrid capture probes, wherein the library of 5 probes is complementary to both strands of the double stranded ctDNA of interest and the probes are tagged for capture; allowing the probes to hybridize to the ctDNA; and capturing the hybridized ctDNA using the tag on the probes. Libraries of probes for use with these methods are also described.

Abstract: Systems and methods for providing an authenticated groupcast stream of content to destination receivers are disclosed. A method may include receiving information indicating that a media capturing source(s) located at a premises and destination receivers are included in a group. Content captured from a media capturing source(s) may be received. The content may include an image(s)/video(s) and a destination network address associated with the destination receivers. The content may be copied. The number of copies of content may correspond to a number of the destination receivers. A respective copy of the content may be sent to the destination receivers.

Abstract: Systems, apparatuses, and methods are described for detecting a state transition for sensors of a monitoring system, and determining whether the state transition is abnormal such that further action is warranted. The determination may be based on a history of state transitions in the monitoring system, and may be based on whether the same state transition has previously occurred at a corresponding time in the history, whether the new state has previously occurred following the corresponding time in the history, and other factors.

Abstract: A determination is made as to whether a computing device is located inside a first geofence of a geofence environment. A first location determination mode available to the computing device for determining a location of the computing device is identified. A second location determination mode available to the computing device for determining a location of the computing device is identified, wherein the second location determination mode consumes less power than the first location determination mode. A selection is made between the first location determination mode and the second location determination mode, based on the determination of whether the computing device is located inside the first geofence. A next location of the computing device is determined using the selected location determination mode, a next location of the computing device.

Abstract: Disclosed are systems and methods for determining similarities in content preferences among a plurality of users and generating content recommendations based on a requesting user's content consumption history. A requesting user may access the recommendation system to request content items for consumption. The recommendation system may be configured to identify users having consumed the same or similar content items as the requesting user, and to determine a ratio of content items consumed by the requesting user and an identified user to the total number of content items previously consumed by the requesting user. In one embodiment, the system may determine a degree of similarity in content preferences between the two users based on an inverse proportion of a level of popularity associated with the content items consumed by the requesting user and the identified user (e.g., sampled user).

Abstract: Systems and methods for training an initial machine learning model is provided. The system may train an initial machine learning model using source domain training data with sample labels and target domain training data without sample labels. The initial machine learning model may include a feature extraction unit, a first processing unit, and an adversarial unit, wherein the first processing unit is associated with a first loss function, and the adversarial unit is associated with a second loss function. In some embodiments, the initial machine learning model may also include a second processing unit. A third loss function that reflects the consistency of the first processing unit and the second processing unit may be determined. The initial machine learning model may be trained based on the feature extraction unit, the first processing unit, the adversarial unit, and the second processing unit.

Abstract: An online automatic measurement system for a claw-pole overall magnetic property comprising: a feeding part, a claw-pole overall magnetic property measurement unit, and a discharging part disposed in sequence, and a robotic arm disposed there among. The robotic arm receives an operation instruction output by a control unit to grab claw poles to be measured in sequence and removes measured claw poles on the claw-pole overall magnetic property measurement unit. The claw-pole overall magnetic property measurement unit outputs a control power supply to the claw-pole overall magnetic property measurement unit according to the instruction of the control unit, receives an induction current of the measured claw poles, and output a measurement result to the control unit.

Abstract: Systems, apparatuses, and methods are described for detecting a state transition for sensors of a monitoring system, and determining whether the state transition is abnormal such that further action is warranted. The determination may be based on a history of state transitions in the monitoring system, and may be based on whether the same state transition has previously occurred at a corresponding time in the history, whether the new state has previously occurred following the corresponding time in the history, and other factors.

Abstract: A magnetic performance measuring device for serialized claw-pole generator rotors is consisted with: an excitation power supply turn-on mechanism, a rotor magnetic field detecting mechanism, a measuring position adjusting mechanism and a pressing mechanism that are successively and fixedly arranged, wherein the rotor magnetic field detecting mechanism including a detection box, a positioning base, an adjusting ring, a shaft sleeve and a serialized grooved magnetic conduction ring that are successively arranged in the detection box, and the adjusting ring and the shaft sleeve are used to position different models of tested rotors to achieve a serialized measurement.

Abstract: In embodiments of the present disclosure, a method, device and computer-readable medium for multi-source domain adaptation are provided. The method comprises generating a first representation of a target image through a first trained classifier, generating a second representation of the target image through a second trained classifier, and generating a third representation of the target image through a third trained classifier. A mutual learning is conducted among the first, second and third classifiers during the training. The method further comprises determining a classification label of the target image based on the first, second and third representations. The present disclosure proposes a mutual learning network for multi-source domain adaptation, which can improve the accuracy of label generation for images.