Abstract: This application provides a data collection method and a device. A data collection device determines, based on a threshold corresponding to a target indicator, a collection interval for to-be-collected data of the target indicator from a plurality of available collection intervals; and the data collection device collects the data of the target indicator based on the collection interval.

Abstract: Provided is a system that receives tracking data associated with a user and including at least one information chosen from a group comprising purchase information of a product, usage information of this product, and cumulative sharing information related to this product or to a domain having any relation with this product. The system controls a distributed ledger technology network to execute a smart contract on the received tracking data by applying at least one rule on these received tracking data. The system assigns a status level chosen from at least two predefined status levels to the user based on the executed smart contract, at least one predefined status level corresponding to at least one privilege associated with a management of the distributed ledger technology network and/or the product. The system controls allocation of a first amount of electronic currency to the user based on his assigned status level.

Abstract: A semiconductor device includes a substrate having an array region defined thereon, a ring of magnetic tunneling junction (MTJ) region surrounding the array region, a gap between the array region and the ring of MTJ region, and metal interconnect patterns overlapping part of the ring of MTJ region. Preferably, the array region includes a magnetic random access memory (MRAM) region and a logic region and the ring of MTJ region further includes a first MTJ region and a second MTJ region extending along a first direction and a third MTJ region and a fourth MTJ region extending along a second direction.

Abstract: In an embodiment, a data collection method includes: collecting, by a data collection device, performance indicator data of a target device based on a collection periodicity; detecting change amplitude of the collected performance indicator data that is in a change detection window, where the change detection window includes multiple collection periodicities; and when it is detected that change amplitude of the performance indicator data that is in the change detection window is greater than or equal to a change detection threshold, sending the performance indicator data that is in the change detection window to a data analysis device.

Abstract: Embodiments of this application describe a retransmission timeout (RTO) determining method and a related apparatus. The method includes a transmission device sending, to a network analyzer, a network throughput at which communication is performed through a first communication connection, where the network throughput is used by the network analyzer to determine an RTO corresponding to the first communication connection. The network analyzer obtains a first network throughput at which the transmission device performs communication through the first communication connection. The network analyzer calculates, based on the first network throughput, a first RTO corresponding to the first communication connection. The network analyzer sends the first RTO to the transmission device. The transmission device receives the first RTO sent by the network analyzer. The embodiments of this application help improve efficiency of retransmitting a lost data packet.

Abstract: This disclosure is directed to systems and techniques for detecting change in patient health and if a change in patient health is detected, direct a medical device to generate for display output indicating the detection of the change in patient health. An example medical system or technique applies a model to values of configurable settings that are programmed into detection logic of a medical device; based on the application, determine whether modified values of the configurable settings, when implemented by the detection logic, would change a determination, by the medical device, regarding whether sensed physiological activity is indicative of cardiac episode for a patient; and in response to a determination that the modified values would change the determination regarding whether the sensed physiological activity is indicative of the cardiac episode for the patient, generate output data indicative of the modified values for the configurable settings for the medical device.

Abstract: The disclosure provides a method for assisting an unregistered user device to access private network services and a communication system. The method includes steps as follows. A request to access a private service of a private network is sent by a user device. In response to determining that the user device not registered on the private network wants to access the private service, the user device is assisted to obtain a temporary user profile by a mobile edge computing server through an emergency type attachment procedure. In response to determining that the user device is registered on the private network through the emergency type attachment procedure, a regular attachment procedure is executed by the user device based on the temporary user profile. In response to determining that the user device executes the regular attachment procedure, the mobile edge computing server provides the user device with the private service.

Abstract: This disclosure is directed to a medical system and technique for a filter-based approach to arrhythmia detection. In one example, the medical system comprises one or more sensors configured to sense physiological parameter(s); sensing circuitry configured to generate patient data based on the sensed physiological parameter(s), the patient data comprising signal data to represent cardiac activity of the patient; and processing circuitry configured to: detect a cardiac arrhythmia for the patient based on a classification of the signal data in accordance with a machine learning model, wherein the machine learning model comprises filter(s) for at least one portion of the signal data, wherein the at least one filter corresponds to a feature set that maps to the cardiac activity represented by the portion(s) of the signal data; and generate for display output data indicative of a positive detection of the cardiac arrhythmia.

Abstract: Key switches of the inventive subject matter are designed to give users the tactile feel of key switches from expensive mechanical keyboards without drawback typically associated with alternative key switches. In some embodiments, key switches described in this application are designed to function with a sheet of membrane switches, while in other embodiments, key switches of the inventive subject matter incorporate optical switching in place of membrane switching. Embodiments for use with membrane switching feature a plunger and rocker combination that prevents the pressure from a user's key press from being directly transferred to a membrane switch, thereby reducing wear and tear. In optical switching embodiments, pressing the key switch causes an actuator, e.g., come between an optical emitter/receiver pair to register a key press.

Abstract: A method for providing assistance in driving includes capturing an image of a second moving vehicle when a first moving vehicle is moving and obtaining basic information of the second moving vehicle according to the image thereof, the basic information of the second moving vehicle comprising weight information of the second moving vehicle. Driving information of the first moving vehicle is obtained, and a safe distance between the first moving vehicle and the second moving vehicle is determined according to the driving information of the first moving vehicle and the basic information of the second moving vehicle. The current distance between the first moving vehicle and the second moving vehicle is detected, and a warning is output if the distance between the first moving vehicle and the second moving vehicle is less than the safe distance.

Abstract: A parking assistance method is provided. The method includes recognizing image features of a traffic line corresponding to a parking position of a vehicle. A category of the parking position of the vehicle is determined based on the image features of the traffic line. Once the vehicle is determined to be parking illegally based on the category of the parking position of the vehicle; a warning is issued.

Abstract: A network device includes: a network interface configured to receive target data, a first processor configured to determine feature information of the target data, a second processor configured to perform preprocessing on the feature information, and a third processor configured to perform inference on a preprocessing result. In addition, the second processor is further configured to perform policy analysis based on an inference result.

Abstract: Embodiments of the present application provide a weighing device that comprises a weighing unit for weighing wafers, a support structure placed on the weighing unit, at least two support platforms disposed on the support structure and each having a bearing surface for supporting peripheral regions of the wafers, and a driving part for driving the support platforms to move on the support structure, so as to adapt the at least two support platforms to bear the differently sized wafers. Since a wafer contacts merely several support platforms, cleanness of the wafer is better maintained during the weighing process; at the same time, the support platforms are enabled to stably bear differently sized wafers through adjustment of movements of the support platforms on the support structure.

Abstract: This disclosure describes techniques for bypassing an algorithm configured to determine a likelihood of episode data being a false indication of a cardiac episode. A medical device system includes processing circuitry configured to receive episode data and determine, based on satisfaction of one or more bypass conditions of a set of bypass conditions, whether to bypass the algorithm. Responsive to bypassing the algorithm, the processing circuitry stores the episode data as a true indication of the cardiac episode.

Abstract: A medical system includes communication circuitry configured to receive episode data for an episode sensed by a medical device of a patient, wherein the episode data comprises a cardiac electrogram sensed by the medical device during a period of time; and processing circuitry configured to generate an image based on the episode data, wherein the image is associated with an interval within the period of time; apply, by the processing circuitry, one or more machine learning models to the image, the one or more machine learning models configured to determine whether the image corresponds to an arrythmia type; and output an indication of whether the image corresponds to the arrythmia type.

Abstract: In certain embodiments, a forwarding device receives at least one service flow. The forwarding device obtains service information of the at least one service flow, where the service information of the service flow includes identification information of a network object to which the service flow belongs and M key performance indicators KPIs of the service flow. M is an integer greater than o, and the network object includes one or more devices. The forwarding device sends detection information to a first device, where the detection information includes the service information of the at least one service flow or a feature set obtained based on the service information of the at least one service flow. The detection information is used to detect whether the network object is in a faulty state.

Abstract: A forwarding device receives at least one service flow; the forwarding device obtains service information of the at least one service flow, where the service information of the service flow includes identification information of a network object to which the service flow belongs and M key performance indicators KPIs of the service flow, M is an integer greater than 0, and the network object includes one or more devices; and the forwarding device sends training information to a first device, where the training information includes the service information of the at least one service flow or a feature set obtained based on the service information of the at least one service flow, the training information is used to train a fault detection model, and the fault detection model is used to detect whether the network object is in a faulty state.

Abstract: The present invention discloses a method and a system for automatically generating a hole location map for golf course, relating to the field of the automatic measurement technology. The method includes the following steps: acquiring longitude and latitude data of all fairway center points or green center points, longitude and latitude data of all green front edge points, and longitude and latitude data of all current-date hole position points; calculating hole position data of respective current-date hole position points according to the longitude and latitude data of the current-date hole position point, the longitude and latitude data of the fairway center point or the green center point corresponding to the current-date hole position point and the longitude and latitude data of the green front edge point; and automatically generating a current-date hole location map for golf course according to the hole position data of the respective current-date hole position points.

Abstract: In a method for quantitatively evaluating a pronunciation of a speaker, an acoustic signal is received from the speaker, which represents an utterance spoken in a language by the speaker. The acoustic signal is segmented into segments at the phone, word or phrase level. The acoustic signal segments are each transcribed by a high fidelity transcriber into high fidelity transcription segments that each comprises a sequence of phones that represents how the native or normative speakers of the language would likely perceive a playback of the acoustic signal segment. Each of the high fidelity transcription segments are compared to a baseline to generate one or more pronunciation scores that evaluate the pronunciation of the speaker. The baseline may be generated by transcribing the acoustic signal into an adapted transcription that comprises a sequence of phones that represents how native or normative speakers of the language would likely speak the utterance.

Abstract: This application provides a method for determining an access device type, a device, and a system. An access device type is determined by obtaining one or more packet pairs and a time difference of each packet pair. Each packet pair includes a first packet and a second packet, where the second packet is a response to the first packet, and the one or more packet pairs pass through a same access device. Based on this solution, maintenance manpower required for determining an access device type can be reduced, and O&M personnel management complexity of operators or service providers can be reduced.