Abstract: Embodiments disclosed herein provide for systems and methods for implementing chaos engineering in distributed systems with chaos engineering trials. The systems and methods provide for a RESTful API that is configured to generate a chaos engineering experiment including a plurality of steps that test one or more conditions in the distributed system as well as generate a chaos engineering trial based on the chaos engineering experiment and one or more parameters.

Abstract: Techniques are described for auditing clipboard operations in virtual desktop environments. The auditing takes place by detecting clipboard operations that are being redirected between the virtual desktop and the client device and recording log entries containing information about each clipboard operation that was redirected. In order to reduce auditing potential noise information, the redirection process is modified to delay populating the clipboard and recording log entries until a paste operation or other request for the clipboard is detected. In some situations, the clipboard redirection may be blocked based on the auditing capability, such as in cases where the auditing cannot take place due to the client computing device lacking support for auditing the clipboard operation and recording the necessary log entry.

Abstract: Methods, systems, and techniques for classifying and/or detecting objects using visible and invisible light images. A visible light image and an invisible light image are received at a convolutional neural network (CNN). The visible light image depicts a region-of-interest imaged using visible light. The invisible light image depicts at least a portion of the region-of-interest imaged using invisible light, and at least one of the images depicts an object-of-interest within the portion of the region-of-interest shared between the images. The CNN then classifies and/or detects the object-of-interest using the images. The CNN may be trained to perform this classification and/or detection using pairs of visible and invisible light training images.

Abstract: A mechanism is provided to implement an abnormal entity detection mechanism that facilitates detecting abnormal entities in real-time response systems through weak supervision. For each first intent from an entity labeled workspace that matches a second intent in labeled chat logs, when the entity score associated with each first entity or second entity is above a predefined significance level the first entity or the second entity is recorded. For each first intent from the entity labeled workspace that matches the second intent in the labeled chat logs: responsive to the first entity being recorded and the second entity failing to be recorded, that first entity is removed from the training data as being mistakenly included; or, responsive to the second entity being recorded and the first entity failing to be recorded, that second entity is added as a potential business case to the training data.

Abstract: In one aspect, a wallpaper alignment apparatus may include a first alignment unit and a second alignment unit. In one embodiment, each of the first and second alignment units is detachably disposed and aligned with the edge of the wallpaper through an adhesive. The first alignment unit has a first elongated main body and a plurality of protrusions extending from the first elongated main body. The second alignment unit has a second elongated main body and a plurality of recesses formed on the second elongated main body to receive corresponding protrusions on the first alignment unit to further align the wallpapers.

Abstract: A computer-implemented method comprises detecting, with a presence detector such as a radar device, a presence of a person at a location such as an ATM vestibule. In response thereto, a timer is initiated. After initiating the timer, a portal sensor is used to detect a change in a status of a portal permitting access to the location. In response thereto, the timer is adjusted (for example the timer is reset). Thus, multiple consecutive normal usages of the vestibule do not unnecessarily trigger an alarm.

Abstract: A semiconductor structure and a manufacturing method thereof are provided. The semiconductor structure includes a redistribution structure, a circuit substrate, and an insulating encapsulation. The redistribution structure includes a first under-bump metallization (UBM) pattern covered by a first dielectric layer, and the first UBM pattern includes a surface substantially leveled with a surface of the first dielectric layer. The circuit substrate is electrically coupled to the redistribution structure through a conductive joint disposed on the surface of the first UBM pattern. The insulating encapsulation is disposed on the redistribution structure to cover the circuit substrate.

Abstract: A font rendering method, apparatus and a computer-readable storage medium. The font rendering method includes: receiving a character string that needs to be rendered and reading a font file; parsing the font file to obtain text character pattern information and template information corresponding to the character string; generating an animation unit according to the text character pattern information and the template information; rendering the animation unit. Through the above font rendering method, corresponding template effects can be customized according to different font effects and different rows and columns, and mixed arrangement of text size, customized text position, customized text color and special effects are supported, which are more suitable for scene matching and picture-text combining, fully expressing semantic priority, enhancing text visual impact, highlighting the focus of the language and the text artistic conception.

Abstract: A mechanism is provided for implementing a bias detection mechanism that mitigates unintended bias in a conversational agent by leveraging conversational agent definitions, a conversational agent chat logs, and user satisfaction statistics. One or more protected attributes are identified within an utterance from the conversational agent chat logs. Using the identified protected attributes, a replacement utterance with a replacement term is generated for at least one of the identified protected attributes in the utterance. A score is generated for the utterance and the replacement utterance using utterance level relative term importance for protected attributes and regular terms in the utterance and the replacement utterance. Utilizing the scoring, a determination is made as to whether unintended bias exists within the utterance. Responsive to unintended bias being detected, an action is implemented that causes a change to a machine learning model used by the conversational agent.

Abstract: The present disclosure relates to gutta-percha containing carbon nanotubes and a preparation method therefor. The gutta-percha is prepared by mixing a raw material, prepared from the following components of eucommia ulmoide gum, zinc oxide and carbon nanotubes, and extruding the mixed raw material. An orientation factor of the carbon nanotubes in the gutta-percha is greater than 10.8. The preparation method comprises: mixing the components according to dosages, and extruding a mixed product to prepare the gutta-percha containing carbon nanotubes.

Abstract: A package structure and a method of forming the same are provided. The package structure includes a first die and a second die, a first encapsulant, a second encapsulant and a RDL structure. The first die includes a first connector and a first protection layer covering sidewalls of the first connector, and the second die includes a second connector. The first encapsulant is at least disposed laterally between the first die and the second die to encapsulate first sidewalls of the first die and the second die that faces each other. The second encapsulant encapsulates second sidewalls of the first die and the second die. The RDL structure is disposed on and electrically connected to the first die and the second die. The top surfaces of the first protection layer, the first encapsulant, and the second encapsulant are in contact with a bottom surface of the RDL structure.

Abstract: A system is provided, including: a radar sensor configured to transmit and receive a radar signal from a person; a depth camera configured to receive a depth image of the person; one or more processors communicative with memory having stored thereon computer program code configured when executed by the one or more processors to cause the one or more processors to perform a method comprising: detect the person; determine depth information relating to the person using the depth image; determine a correlation between the depth information of the person and the radar signal received from the person; and in response to the correlation not within a range of expected values, generating an alert. The depth information may be a volume or surface area of the person.

Abstract: Alias capture to support searching for an object-of-interest is disclosed. A method includes capturing, using a camera with a defined field of view, video image frames that include a moving object-of-interest. The method also includes tracking the object-of-interest over a period of time starting when the object-of-interest enters the field of view and ending when the object-of-interest exits the field of view. The method also includes detecting, at a point in time in-between the start and end of the period of time of the tracking, a threshold exceeding change in an appearance of the object-of-interest. The method also includes creating, before the end of the period of time of the tracking, a new object profile for the object-of-interest in response to the detecting of the threshold exceeding change.

Abstract: A semiconductor package and a manufacturing method thereof are provided. The semiconductor package includes a first semiconductor device, at least one second semiconductor device, at least one dummy die, an encapsulant and a redistribution structure. The first semiconductor device, the at least one second semiconductor device and at least one dummy die are laterally separated from one another, and laterally encapsulated by the encapsulant. A Young's modulus of the at least one dummy die is greater than a Young's modulus of the encapsulant. A sidewall of the at least one dummy die is substantially coplanar with a sidewall of the encapsulant. The redistribution structure is disposed over the encapsulant, and electrically connected to the first semiconductor device and the at least one second semiconductor device.

Abstract: A system includes a memory having instructions therein and at least one processor configured to execute the instructions to: receive a natural language question; determine, from a chat log comprising a plurality of chat session logs, a set of chat session logs most relevant to the natural language question; determine a respective plurality of non-overlapping text spans most relevant to the natural language question within each of a respective plurality of conceptual pseudo-documents; determine a conceptual pseudo-document most relevant to the natural language question; extract a question-answer pair most relevant to the natural language question from the most relevant pseudo-document; and convey the most relevant question-answer pair to a user. Each one of the conceptual pseudo-documents corresponds to a respective one of the most relevant chat session logs.

Abstract: A semiconductor structure includes a substrate including a first surface, a second surface opposite to the first surface, a sidewall substantially orthogonal to the first surface and the second surface; and a metallic layer surrounding and connected with the sidewall of the substrate, wherein the metallic layer includes an exposed surface substantially level with the first or second surface of the substrate. Further, a method of manufacturing the semiconductor structure is also disclosed.

Abstract: The present application discloses a positive electrode current collector, a positive electrode plate, an electrochemical device, and an electric equipment including the electrochemical device. The positive electrode current collector includes: a metal conductive layer; an overcharge blocking activation layer disposed on a surface of the metal conductive layer, the overcharge blocking activation layer including an overcharge blocking activation material, a binder material and a conductive material, wherein the overcharge blocking activation material includes an esterified saccharide.

Abstract: Disclosed are a method, an electronic device and a storage medium of processing data. The method can include: playing an image in an image playing interface in response to an image playing request sent by an account; determining a target presentation area in the image playing interface in response to detecting a touch operation of the account on the image playing interface, wherein the target presentation area is used for presenting feedback information of the image and the feedback information includes a set of emojis; determining the set of emojis based on feature labels of the image; rendering emojis in the set to the target presentation area.

Abstract: This invention relates to topical probiotic formulations for treating skin conditions.

Abstract: A test method for an eye tracking algorithm creatively defines indicators for eye tracking algorithm performance test, and proposes a general environment and an overall process for the eye tracking algorithm performance test to realize the versatility of the eye tracking algorithm test, improve the algorithm development efficiency, shorten the development cycle, and provide a direction and reference for the algorithm development and iteration. The test method decouples the performance test of an eye tracking algorithm from development of the eye tracking algorithm itself, so that a test environment is not limited to a specific eye tracking algorithm and a general performance test environment for the eye tracking algorithm is established. The test method includes: defining indicators for the eye tracking algorithm performance test, defining an overall architecture of a performance test environment of the eye tracking algorithm, and proposing steps for performing the eye tracking algorithm performance test.