Abstract: The present disclosure provides a piezoelectric device and a preparation method therefor, a panel, and a tactile reproduction apparatus. The piezoelectric device includes: a substrate; a bottom electrode layer disposed on the substrate; a piezoelectric functional layer disposed on the bottom electrode layer; a top electrode layer disposed on the piezoelectric functional layer; an insulation layer, arranged to cover an edge portion of the top electrode layer, the piezoelectric functional layer exposed from the top electrode layer and the bottom electrode layer exposed from the piezoelectric functional layer, an edge of the insulation layer has a slope angle less than 60 degrees; and a wiring layer disposed on the insulation layer, the wiring layer at least partially covers the top electrode layer exposed from the insulation layer, and the wiring layer covers the edge of the insulation layer in an overlapping area of the wiring layer and the insulation layer.

Abstract: A computer-implemented method, a computer program product, and a computer system for log anomaly detection. A computer receives a windowed log of incoming raw log messages. A computer compares statistical distribution metrics of entities in the windowed log with a statistical distribution extracted from a real-time statistical model for the entities. In response to the statistical distribution metrics being statistically different from the statistical distribution extracted from the real-time statistical model for the entities, a computer tags the windowed log as an entity anomaly. A computer computes a distance between an average word embedding vector in the windowed log and a statistical distribution extracted form a real-time statistical model for word embeddings. In response to the distance being greater than a predetermined threshold, a computer tags the windowed log as a word embedding anomaly. A computer sends to a user an alert with an anomaly severity level.

Abstract: One or more computer processors classify each log line in a plurality of unlabeled log lines as an erroneous log line or a non-erroneous log line. The one or more computer processors templatize each classified erroneous log line and non-erroneous log line in the plurality of unlabeled log lines. The one or more computer processors cluster erroneous log templates into erroneous log template clusters and the non-erroneous log templates into non-erroneous log template clusters. The one or more computer processors eliminate the erroneous log template clusters and the non-erroneous log template clusters that exceed a frequency threshold. The one or more computer processors train a log anomaly model utilizing=remaining erroneous log template clusters and remaining non-erroneous log template clusters. The one or more computer processors identify a subsequent log line as anomalous or non-anomalous utilizing the trained log anomaly model.

Abstract: The present disclosure provides an acoustic transduction unit, a manufacturing method thereof and an acoustic transducer. The acoustic transduction unit includes a substrate, and a first electrode, a vibrating film and a second electrode sequentially arranged on the substrate, a cavity is formed between the first electrode and the vibrating film, orthographic projections of the first electrode, the cavity, the vibrating film and the second electrode on the substrate are at least partially overlapped with each other at a first overlapping region, and a hollowed-out pattern is formed in the vibrating film, and the orthographic projection of the hollowed-out pattern on the substrate and the orthographic projection of the cavity on the substrate are overlapped with each other, and the orthographic projection of the hollowed-out pattern on the substrate is distributed in a discontinuous manner around the first overlapping region.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises identifying a plurality of data logs; generating a data model using analyzed time series data from the identified data logs; detecting anomalies within the generated data model; constructing a causal graph using the detected anomalies and retrieved domain knowledge; computing a severity value for the detected anomalies with the constructed causal graph; assigning the detected anomaly to a classification based on a function vector, wherein the computed severity value is a function vector; and automatically modifying a function of a computing device based on the function vector of the assigned, detected anomaly, wherein a modification addresses the detected anomaly located at a center of the constructed casual graph.

Abstract: The application provides a haptic feedback method and apparatus for virtual keys, and an electronic device, and relates to the field of piezoelectric techniques. A touch display panel is controlled to display at least one virtual key, a touch position detected by the touch display panel is acquired, a target waveform parameter is determined according to a positional relationship between the touch position and each region in a target area corresponding to a target virtual key, and a target drive signal is generated according to the target waveform parameter and is sent to a piezoelectric element.

Abstract: The application provides a haptic feedback method and apparatus for virtual keys, and an electronic device, and relates to the field of piezoelectric techniques. A touch display panel is controlled to display at least one virtual key, a touch position detected by the touch display panel is acquired, a target waveform parameter is determined according to a positional relationship between the touch position and each region in a target area corresponding to a target virtual key, and a target drive signal is generated according to the target waveform parameter and is sent to a piezoelectric element. The target area corresponding to the target virtual key is divided into multiple regions, and different drive signals are provided to drive the piezoelectric element to vibrate when the fingers of users touch different regions, such that the users may feel the boundary of the virtual key when moving their fingers on the surface of the touch display panel, and the virtual key has more realistic haptic feedback.

Abstract: One or more computer processors classify each log line in a plurality of unlabeled log lines as an erroneous log line or a non-erroneous log line; templatize each classified erroneous log line and non-erroneous log line in the plurality of unlabeled log lines; cluster erroneous log templates into erroneous log template clusters and non-erroneous log templates into non-erroneous log template clusters; identify one or more log lines as anomalous utilizing a plurality of factors including a log maturity, a number of encountered log template clusters, and a ratio of classified erroneous log lines to classified non-erroneous log lines; responsive to one or more identified anomalous log lines, validate the identified anomalous log lines utilizing a site reliability engineer and human-in-the-loop validation; train a log anomaly model utilizing one or more validated log lines; and identify a subsequent log line as anomalous utilizing the trained log anomaly model.

Abstract: One or more computer processors classify each log line in a plurality of unlabeled log lines as an erroneous log line or a non-erroneous log line. The one or more computer processors templatize each classified erroneous log line and non-erroneous log line in the plurality of unlabeled log lines. The one or more computer processors cluster erroneous log templates into erroneous log template clusters and the non-erroneous log templates into non-erroneous log template clusters. The one or more computer processors eliminate the erroneous log template clusters and the non-erroneous log template clusters that exceed a frequency threshold. The one or more computer processors train a log anomaly model utilizing=remaining erroneous log template clusters and remaining non-erroneous log template clusters. The one or more computer processors identify a subsequent log line as anomalous or non-anomalous utilizing the trained log anomaly model.

Abstract: The present disclosure provides a haptic reproduction system and a driving method, and relates to the technical field of haptic reproduction. The haptic reproduction system is able to realize haptic reproduction, and comprises: a touch display device, an upper computer and a waveform generator. The touch display device comprises a piezoelectric unit, a touch display panel and a touch driving unit. The piezoelectric unit is disposed on the touch display panel. The touch driving unit is electrically connected to the touch display panel and the upper computer, and is configured to acquire touch information and transmit the touch information to the upper computer. The upper computer is electrically connected to the waveform generator, and is configured to send a first waveform generation instruction to the waveform generator according to the touch information. The waveform generator is configured to generate a first waveform signal according to the first waveform generation instruction.

Abstract: The present disclosure provides a haptic feedback substrate, a haptic feedback apparatus and a haptic feedback method. The haptic feedback substrate comprises an actuator and a plurality of vibration units connected to the actuator, wherein each vibration unit has a different inherent frequency, the actuator is configured to generate a vibration signal and drive the vibration unit with the inherent frequency being a target inherent frequency to resonate, and a difference between the target inherent frequency and a frequency of the vibration signal is less than or equal to a present threshold. By controlling the actuator to generate the vibration signal, the vibration unit with inherent frequency being close to or equal to the frequency of the vibration signal is driven to resonate, thereby realizing local haptic feedback.

Abstract: A computerized method, system and computer program product for automatically generating question and answer pairs. One embodiment of the method may comprise receiving an input document, the input document comprising content. The method may further comprise generating, by a first machine learning model from the input document, a plurality of answers based on the content of the input document, and generating, by a second machine learning model from the input document, a question for each of the plurality of answers to form a plurality of question-answer pairs. The method may further comprise ranking, by a third machine learning model, the plurality of question-answer pairs, selecting a predetermined number of highest ranked question-answer pairs, and returning the predetermined number of highest ranked question-answer pairs to a user.

Abstract: A computerized method, system and computer program product for building a dialogue flow. One embodiment of the method may comprise receiving an input document, the input document comprising content, and generating, by a question-answer pipeline, a plurality of question-answer pairs from the content of the input document. For each question-answer pair, the method may further comprise feeding the question of the question-answer pair into an intent of a dialogue flow structure, and feeding the answer of the question-answer pair as one response of the intent. The method may further comprise tagging each of the plurality of question-answer pairs with a corresponding document section index, reading, by a conversational agent, the input document to a user, pausing the reading when the conversational agent reaches one of the document section indices in the input document, and in response, reading the question corresponding to the document section indicia to the user.

Abstract: Disclosed are a photosensitive assembly, a method for manufacturing the same, and an electronic device. The photosensitive assembly includes a light-transmissive substrate, a light sensor, and a vibration member. The light sensor is disposed on a side of the light-transmissive substrate, and the vibration member is configured to drive the light-transmissive substrate to vibrate, such that a photosensitive area of the light-transmissive substrate is in an undulated shape.

Abstract: The present disclosure provides a capacitive micro-machined ultrasonic transducer, a method for preparing the same, a panel, and a device, and belongs to the technical field of ultrasonic imaging. A capacitive micro-machined ultrasonic transducer includes a first electrode, a vibrating diaphragm layer and a second electrode that are arranged in order from bottom to top, a cavity existing between the first electrode and the vibrating diaphragm layer, in which the capacitive micro-machined ultrasonic transducer further includes a third electrode located on a surface of the vibrating diaphragm layer proximate to the cavity, an orthogonal projection of the third electrode on the first electrode covers a part of an orthogonal projection of the cavity on the first electrode. The technical solution of the present disclosure can realize the conversion of the frequency of the ultrasonic waves emitted by the capacitive micro-machined ultrasonic transducer.

Abstract: The present disclosure provides a subway operating state prediction method and apparatus, an electronic device and a storage medium, and relates to technical fields such as intelligent transportation and artificial intelligence. A specific implementation solution involves: acquiring air pressure information of a mobile terminal used by a user on a subway at respective moments in a time window; and predicting an operating state of the subway in the time window based on the air pressure information at the moments in the time window.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises identifying a plurality of data logs; generating a data model using analyzed time series data from the identified data logs; detecting anomalies within the generated data model; constructing a causal graph using the detected anomalies and retrieved domain knowledge; computing a severity value for the detected anomalies with the constructed causal graph; assigning the detected anomaly to a classification based on a function vector, wherein the computed severity value is a function vector; and automatically modifying a function of a computing device based on the function vector of the assigned, detected anomaly, wherein a modification addresses the detected anomaly located at a center of the constructed casual graph.

Abstract: An approach is disclosed that retrieves a set of current system data corresponding to a computer system and a set of current outputs from an anomaly detection model that is monitoring the computer system. The current system data and the anomaly detection model outputs are input to a trained anomaly detection supervisor model. The trained anomaly detection supervisor model processes the inputs and provides a set of performance data corresponding to the anomaly detection model. The anomaly detection model is then adjusted when the set of performance data indicates that the anomaly detection model is performing below a threshold.

Abstract: A guide rail beam (10), a track beam unit (100), and a track beam (1000) for a rail vehicle (7) are disclosed. The guide rail beam (10) includes a fixing plate (1), a flange plate (2), a web plate (3), and a stiffening rib (5). The fixing plate (1) is disposed on a mounting surface (20). The flange plate (2) is disposed above the fixing plate (1). A road wheel (71) travels on the flange plate (2). An upper end of the web plate (3) is connected with the flange plate (2), and a lower end of the web plate (3) is connected with the fixing plate (1). The web plate (3) is in contact with and be associated with a guide wheel (72) to guide a traveling track of the guide wheel (72). An upper end of the stiffening rib (5) is connected with the flange plate (2), and a lower end of the stiffening rib (5) is connected with the fixing plate (1).

Abstract: The present disclosure provides an acoustic transducer unit and a manufacturing method thereof, and an acoustic transducer, the acoustic transducer unit includes: a base substrate; a first electrode on the base substrate; a support pattern on a side of the first electrode away from the base substrate, which is enclosed into an accommodation groove, at least one release groove and at least one connection groove, an orthographic projection of the release groove on the base substrate is spaced apart from that of the accommodation groove on the base substrate, the connection groove is between the accommodation groove and the release groove to communicate them; a diaphragm pattern on the side of the first electrode away from the base substrate and capable of vibrating in the accommodation groove; a filling pattern in the release groove; a second electrode on a side of the diaphragm pattern away from the base substrate.