Abstract: A method, system, and computer program product for implementing automated cognitive software application error detection is provided. The method includes receiving data associated with model based self-learning software code. The annotated data is automatically divided with respect to specified categorization and grouping attributes and categorized groups comprising portions of the annotated data are generated and analyzed. At least one incorrect annotation associated a group of the categorized groups is detected and filtered. Likewise, a correct annotation for the group is detected and retrieved from a database. The correct annotation is appended to the group.

Abstract: The invention relates to an anti-blocking seawater desalination device based on graphene filtering, comprising heating device, solar heat-collecting device, fresh water condensation heat-exchange device and thermal-expansion and cold-shrinkage control valve mechanism; the heating device can fully heat and distill seawater, the sprayed seawater is distilled by graphene heat-conduction layers to improve the distillation efficiency and avoiding blocking; the distilled water vapor enters into fresh water condensation heat-exchange device to exchange heat with seawater, increasing the seawater temperature, making full use of the heat in water vapor, and increasing water vapor condensation speed; the distilled concentrated seawater enters into the thermal-expansion and cold-shrinkage control valve mechanism, the flow of seawater entering into the heating device is controlled by the concentrated seawater temperature, when the temperature is too high, the flow of the seawater entering into the heating device increase

Abstract: A commodity detection terminal is disclosed, the commodity detection terminal includes: an image segmentation unit configured to obtain position information of each grid of a goods shelf in an image of the goods shelf based on a first image, which is an image of the goods shelf not placed with commodities; a detector unit configured to obtain a current grid where each commodity is located and a current quantity of each commodity based on a second image, which is a current image of the goods shelf placed with commodities; and a determination unit configured to compare the current grid and the current quantity with a preset grid and a preset quantity of the each commodity, so as to determine whether a status of each commodity satisfies a preset condition. A commodity detection method, an intelligent goods shelf system, a computer device, and a readable medium are also disclosed.

Abstract: A flap slat control lever and a method for operating the lever are disclosed. The lever includes: a first displacement sensor to detect a displacement of the flap slat control lever and generate a first displacement detection signal; a second displacement sensor to detect the displacement of the flap slat control lever and generate a second displacement detection signal; a first control command module to receive the first displacement detection signal; and a second control command module to receive the second displacement detection signal, wherein the first control command module is in a standby state and the second control command module is in a working state.

Abstract: The present disclosure discloses an indoor positioning method, an indoor positioning system, an indoor positioning apparatus and a computer readable medium. The indoor positioning method includes: determining an initial position of a target object using combination of wireless positioning and visual feature map matching positioning; and according to the initial position of the target object, performing real-time positioning on the target object using combination of short-time interframe feature matching positioning and the visual feature map matching positioning.

Abstract: An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Abstract: The embodiments of the present disclosure disclose a method and apparatus for extracting an edge of an object in a depth image, a storage medium, and a computer device, to provide a solution which is simple to implement and accurate in edge extraction. The method for extracting an edge of an object in a depth image includes: calculating at least two sets of edge pixels of a first depth image using at least two edge detection algorithms; and acquiring a final set of edge pixels by combining the at least two sets of edge pixels. The solution according to the embodiments of the present disclosure is simple to implement, and may obtain a more accurate set of edge pixels, thereby obtaining an accurate pixel-level segmentation result.

Abstract: The present disclosure provides a shopping recommendation method, a client, and a server. The method includes: acquiring voice information of a user, and performing voice recognition and keyword extraction on the voice information, to obtain shopping keyword information; transmitting the shopping keyword information to a server, so that the server performs interest prediction according to the shopping keyword information and shopping related information of the user, to generate recommendation information; and receiving the recommendation information, and generating shopping recommendation content according to the recommendation information to be displayed by a display.

Abstract: A data-driven model compression technique is introduced that only targets to provide same accuracy as the original (not compressed) model in certain areas by reducing compression parameters. A compression engine relies on backpropagation to determine an extent of parameter value changes and designate certain parameters as key parameters. The model matrix is reshaped according to importance of each neuron. Only randomly generated parameter values of the reshaped parameter matrix are fine tuned to create a reliable compressed neural network model.

Abstract: The present invention provides a low viscosity poly-?-olefin lubricating oil and a synthesis method thereof. The method comprises: (1) the ?-olefin raw material is subjected to dehydration treatment so that the water content in the raw material is ?10 ppm; (2) a reaction of the dehydration treated ?-olefin raw material is carried out in the presence of a complex catalyst and gaseous BF3 to obtain a reaction product, wherein the pressure of the gaseous BF3 is 0.01 to 1 MPa; (3) the reaction product obtained in step (2) is sequentially subjected to flash distillation, gas stripping, centrifugation, and washing treatment to obtain an intermediate product; (4) the intermediate product obtained in step (3) is subjected to distillation under reduced pressure to separate the unreacted ?-olefin raw material and ?-olefin dimers, and the remaining heavy fractions are subjected to hydrogenation saturation treatment followed by fractionation and cutting-off.

Abstract: Label-based document classification using artificial intelligence includes collecting, by one or more processors, a plurality of pre-trained classification models into a model pool and a plurality of documents into a document pool. The collected plurality of pre-trained classification models are applied in parallel to the plurality of documents in the document pool to generate a list of labels. Based on the list of labels, a final label result is generated according to which a baseline algorithm for document classification is generated by the one or more processors.

Abstract: There is disclosed a disinfecting enclosure for a medical instrument comprising: a plurality of modules configured to define an enclosure having a base and at least one upright wall extending from the base; and a lid member configured to be mounted on the at least one upright wall so as to enclose the enclosure; wherein each said module comprises an inner surface having a plurality of UVC LEDs provided thereon, each of the plurality of UVC LEDs being actuable to emit UVC light to irradiate all surfaces of a medical instrument located within the enclosure.

Abstract: The present application provides a region management and control method, device, apparatus and storage medium. The region management and control method includes: obtaining a current image in a video image and a target region graphic included in the current image; determining whether a person graphic in the current image and the target region graphic meet a predetermined condition; and sending alarm information in response to the person graphic in the current image and the target region graphic meeting the predetermined condition. The predetermined condition includes at least one of: a space condition, a person identity condition, a time condition, a person protection condition, a person number condition or a person body temperature condition.

Abstract: A method, system, and computer program product for segmenting and processing documents for optical character recognition is provided. The method includes receiving a document and detecting different types of text data. The document is divided into a plurality of text regions associated with the different types of said text data. Optical noise is removed from each text region and differing optical character recognition software code is selected for application to each text region. The differing optical character recognition software code is executed with respect to each text region resulting in extractable computer readable text located within each said text region.

Abstract: An object identification method and an object identification device, the object identification method comprises: capturing color images and depth images that are aligned; performing motion detection on the captured color images and depth images to acquire a motion start frame and a motion end frame; comparing the motion end frame with the motion start frame in the color images to acquire a set of motion pixels; performing connected component analysis on the acquired set of motion pixels to obtain at least one connected component; and identifying an object in the at least one connected component.

Abstract: What is disclosed are systems and methods for compensating for display OLED degradation. Correction factors k for OLED degradation of each sub-pixel is modelled and tracked based on grey level, temperature, and time, and used to correct image data provided to an OLED display.

Abstract: A surgical instrument comprising: an execution assembly; a control assembly connected with the execution assembly to control opening, closing, spin and deflection motions of the execution assembly; an instrument seat for mounting a transmission means, the instrument seat having a first coupling; a sterile isolation seat for mounting a sterile isolation membrane, the sterile isolation seat having a second coupling, and the sterile isolation seat being fixedly connected with the instrument seat; and a motor mounting seat for mounting a driving means, the motor mounting seat having a third coupling, and the sterile isolation seat being fixedly connected with the motor mounting seat; wherein the instrument seat is mounted on the sterile isolation seat through a cooperation of the first coupling with the second coupling, the sterile isolation seat being mounted on the motor mounting seat through a cooperation of the second coupling with the third coupling, and the first coupling, the second coupling and the third

Abstract: An electromyography signal analysis device and an electromyography signal analysis method are disclosed. The electromyography signal analysis device selects at least one reference indicator from a reference indicator set according to a category-selecting command from a user, and then determines at least one category of noise according to the at least one reference indicator. Next, the electromyography signal analysis device selects at least one filter from a filter set according to the at least one category of noise, and then configures the at least one filter. Subsequently, the electromyography signal analysis device filters an electromyography signal with the at least one configured filter, and analyzes the filtered electromyography signal according to the at least one reference indicator to generate an analysis result in response to the category-selecting command.

Abstract: A computer-implemented method for determining influence of applications on system performance includes collecting, by a processor, for several applications that are executing on a computing system, respective instrumentation data during multiple time-segments. The method further includes determining, for each of the applications, a performance value and a robustness value for each of the time-segments based on the respective instrumentation data. Further, using the performance value and robustness value for each time-segment, multiple health-waveforms are generated, where a health-waveform is generated for each respective application. The method further includes determining, by the processor, an influence-factor of a first application on a second application, the first application and the second application are executing on the computing system.

Abstract: The present application relates to a shelf interaction method and a shelf. The shelf is provided with at least one image capturing device. The method includes: capturing an image of the shelf through the at least one image capturing device; in response to detecting that a first position on the shelf is changed from presence of a first item of goods to absence of the first item of goods according to the image, identifying a first category of the taken-away first item of goods; in response to that a second goods category associated with the first position is the same as or different from the first category of the taken-away first item of goods, sending first prompt information to indicate that the first item of goods is taken away.