International Business Machines Corporation

Boe Technology Group Co., Ltd.

Ordos Yuansheng Optoelectronics Co., Ltd.

Tsinghua University

Rong Zhao

Zhe Yan

Li Li Guan

Li Bo Zhang

Ke Zhang

Hao Jia Li

Yuan Jin

Si Bin Fan

Zhao Li

Jing Jing Zhang

Xiao Feng Guan

Luping Shi

Jing Pei

Rong Xiang

De Zhang

You Peng Huang

Zheyu Yang

Haizheng Xu

Jian Zhang

Jing Zhang

Zhuo Zhao

Chunchieh Huang

Shouhua Lv

Long Jin

Peng Tang

Dejian Liu

Junjie Huang

Li Quan Cui

Hao Xiang Wu

Embodiments relate to graph-based design mapping and function route generation. A computer-implemented method includes analyzing first user interfaces and second user interfaces to identify features of each user interface, where the second user interfaces include at least one change to the first user interfaces. A first graph representing the features of the first user interfaces and a second graph representing the features of the second user interfaces are generated. A function mapping is determined based on a similarity calculation between the first graph and the second graph. A node that satisfies an influence threshold is recommended to do limited manual labeling. The function mapping is updated based on the labeling. A visualization of the function mapping is created between the first user interfaces and the second user interfaces. Function route generation can be performed.

Graph-based design mapping and function route generation

An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

Detecting temporal anomalous data using dependency modeling

An approach for assisting software developers to fill the data gap and reproducing client application issue using reported reproducing steps is disclosed. The approach involves constructing service request/response sequence (from the developer's side based on the limited data) from customer's reproducing steps and developer's running inspection result and perform UI-service mapping, redirecting service call to data simulator which replay the service request and response, and adjusting service response with multiple data sources and policies. Lastly, the approach can transform the issue to an automatic test script with the service response in a mockup function (e.g., can be used to extend test data and enhance test cases).

Reproduction client application issue based on layered data replay

Embodiments of the present disclosure provide a cone-rod dual-modality neuromorphic vision sensor, including: a first preset quantity of voltage-mode active pixel sensor (APS) circuits and a second preset quantity of current-mode APS circuits, where each of the voltage-mode APS circuits includes a first-type photosensitive device, and each of the current-mode APS circuits includes a second-type photosensitive device. The voltage-mode APS can output a target voltage signal representing light intensity information in a target light signal. The obtained target voltage signal represents the light intensity information with a higher precision, and therefore an image with higher quality can be obtained, that is, the image has a higher signal-noise ratio. The voltage-mode APS can output a specified digital signal representing light intensity gradient information in the target light signal, to ensure performance indicators such as an image dynamic range and a shooting speed of the neuromorphic vision sensor, thereby making the neuromorphic vision sensor more stable and robust.

Cone-rod dual-modality neuromorphic vision sensor

Embodiments of the present disclosure provide a dual-modality neuromorphic vision sensor. A first-type current-mode active pixel sensor (APS) circuit can mimic excitatory rod cells, to perceive light intensity gradient information in a target light signal, thereby improving a dynamic arrange of an image sensed by a neuromorphic, vision sensor and its shooting speed. In addition, a first-type control switch is introduced for each of non-target first-type photosensitive devices, to control the obtained light intensity gradient information, and adjust the dynamic arrange of the image sensed by the neuromorphic vision sensor, thereby adjusting the shooting speed, and realizing a reconfigurable effect A voltage-mode APS can mimic cone cells, to output a target voltage signal representing light intensity information in the target light signal, and perceive the light intensity information in the target light signal. In this way, the obtained light intensity information represented by the target voltage signal has a higher precision, thereby ensuring the image quality.

Dual-modality neuromorphic vision sensor

A computer-implemented method includes: extracting, by one or more processors, media data from an information technology ticket; extracting, by one or more processors, a plurality of data elements from the media data; and generating, by one or more processors, a ticket knowledge graph based on the plurality of data elements, wherein a node of the ticket knowledge graph represents a data element, and an edge between a first node and a second node in the ticket knowledge graph represents a correlation between a first data element represented by the first node and a second data element represented by the second node.

Ticket knowledge graph enhancement

Aspects of the present disclosure relate to support content generation. An issue description is received from a user. A software feature associated with the issue description is identified using a trained classification model. A base image associated with the software feature is obtained. The base image is modified to add information indicated in the issue description, wherein the modified base image is generated support content. The generated support content is transmitted.

User support content generation

A method, a computer program product, and a computer system guide a user through dimensional relationships. The method includes receiving a plurality of images of a unit of a perspective of a user. When a number of corresponding three-dimensional points between a current image and a previous image is less than a registration threshold to perform a three-dimensional registration operation, the method includes performing a three-dimensional data augmentation operation based on two-dimensional data from the current image and the previous image to generate extended corresponding three-dimensional points. The method includes determining a three-dimensional transform function between the current image and the previous image based on the extended corresponding three-dimensional points. The method includes generating annotations to be shown for the unit in the current image based on the three-dimensional transform function, the annotations being shown as a virtual rendering in a mixed reality environment viewed by the user.

Self guidance based on dimensional relationship

A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Transforming asset operation video to augmented reality guidance model

The present disclosure provides a mask device and a manufacturing method thereof, and an evaporation system. The mask device includes a frame, strip alignment plates and a strip support plate, hollow portions are provided in the strip alignment plates, and the strip alignment plates are fixed on the frame; the strip support plate and the strip alignment plates cross each other, a plurality of welding spots are provided on the surface of the strip support plate proximal to the frame, and are welded and fixed to the frame, and the plurality of welding spots are provided in the region of the strip support plate corresponding to the hollow portions.

Mask device and manufacturing method thereof, evaporation system

This disclosure provides a method, a computing system and a computer program product for optimizing computer-readable commands. The method includes detecting an intention of a set of commands based on a semantic model. The semantic model represents the set of commands and contexts of execution of the set of commands. The method further includes obtaining a predetermined semantic sub-model associated with the intention and updating the semantic model with the predetermined semantic sub-model. The method further includes generating a script of commands based on the updated semantic model.

Intention-based command optimization

A double-layer mask component includes a first mask, a first mask frame, a second mask and a second mask frame. The first mask is fixed on the first mask frame, and a first clamping portion is provided within a region which is located on a surface of the first mask frame with the first mask fixed thereon and not covered by the first mask. The second mask is fixed on the second mask frame, and a second clamping portion is provided within a region which is located on a surface of the second mask frame with the second mask fixed thereon and not covered by the second mask. The surface of the first mask frame and the surface of the second mask frame are arranged in opposite, and the first clamping portion and the second clamping portion are clamped, so that the first mask fits with the second mask.

Double-layer mask component and evaporation device

A jointing device for metal mask plate welding includes a jointing device body. A height of the jointing device body is smaller than a welding height of a welding gun. The jointing device body has a through-hole corresponding to a welding area of a metal mask. A width of the through-hole is larger than a welding spot diameter of the welding gun. The jointing device body is used for jointing the metal mask to a metal mask receiving frame.

Jointing device for metal mask plate welding and welding method thereof

This disclosure provides a computer implemented method comprising: determining whether an input to a program matches a predetermined scenario; and recording, at least partially in response to the determination that the input matches the predetermined scenario, execution information of execution of at least part of the program, the execution of the at least part of the program being in response to the input.

Growing community of inventors

Beijing, China

Rong Zhao