Abstract: The present invention discloses an array substrate and a manufacturing method thereof, a polarizer attaching film and a manufacturing method thereof. The manufacturing method of an array substrate includes: removing a part of a release film corresponding to a first attaching area of a polarizer, and attaching the first attaching area of the polarizer onto a base substrate such that the first attaching area is in a non-bonding area; and removing a part of the release film corresponding to a second attaching area of the polarizer, and attaching the second attaching area of the polarizer onto the base substrate such that the second attaching area at least partially overlaps with a bonding area.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for generating personalized insights. An insight generation system, in response to a first user of an online service having added a second user as a recipient of a message, gathers profile data of the second user and profile data of an entity that is maintained by the online service. The insight generation system determines a set of insights for the second user, based on the profile data of the second user, the profile data of the entity, and a set of insight algorithms. Each insight indicates commonalities between the second user and the entity. The insight generation system selects a subset of the set of insights, yielding a set of recommended insights, and provides the set of recommended insights to a client device of the first user.

Abstract: A method implemented by a domain controller in a network comprises transmitting, by a transmitter of the domain controller to a super controller, an update message comprising path information for one or more parallel paths having a common wavelength from a source to a destination, wherein the one or more parallel paths are free of optical impairments when the update message is transmitted to the super controller, receiving, by a receiver of the domain controller from the super controller, an initiate message comprising an identifier of a path selected from the one or more parallel paths, and provisioning, by a processor of the domain controller, the path based on a verification that the path selected by the super controller is free of optical impairments.

Abstract: An apparatus for controlling an EL drive voltage for a display panel is disclosed, which includes a current sensing circuit configured to detect an EL drive current signal outputted to the display panel, and convert the EL drive current signal into a first voltage signal, a signal generation circuit configured to generate a pulse signal based on the first voltage signal, a current protection circuit configured to generate a first control signal based on the first voltage signal and a reference voltage, and a signal coupling circuit configured to output, based on the first control signal, the pulse signal or a low level signal as a second control signal to control the EL drive voltage. According to the embodiments of the present disclosure, the EL drive voltage of the display panel can be dynamically controlled, and be reset to normal when it is overhigh.

Abstract: A method including determining how many optical channel (OCh) paths are available for border node pair connections; determining which of the OCh paths satisfy a preselected latency threshold; and reporting the OCh paths that satisfy the preselected latency threshold to a service coordinator.

Abstract: A method implemented by a domain controller in a network comprises transmitting, by a transmitter of the domain controller to a super controller, an update message comprising path information for one or more parallel paths having a common wavelength from a source to a destination, wherein the one or more parallel paths are free of optical impairments when the update message is transmitted to the super controller, receiving, by a receiver of the domain controller from the super controller, an initiate message comprising an identifier of a path selected from the one or more parallel paths, and provisioning, by a processor of the domain controller, the path based on a verification that the path selected by the super controller is free of optical impairments.

Abstract: In embodiments of convolutional neural network joint training, a computing system memory maintains different data batches of multiple digital image items, where the digital image items of the different data batches have some common features. A convolutional neural network (CNN) receives input of the digital image items of the different data batches, and classifier layers of the CNN are trained to recognize the common features in the digital image items of the different data batches. The recognized common features are input to fully-connected layers of the CNN that distinguish between the recognized common features of the digital image items of the different data batches. A scoring difference is determined between item pairs of the digital image items in a particular one of the different data batches. A piecewise ranking loss algorithm maintains the scoring difference between the item pairs, and the scoring difference is used to train CNN regression functions.

Abstract: Provided are systems and techniques that provide an output phrase describing an image. An example method includes creating, with a convolutional neural network, feature maps describing image features in locations in the image. The method also includes providing a skeletal phrase for the image by processing the feature maps with a first long short-term memory (LSTM) neural network trained based on a first set of ground truth phrases which exclude attribute words. Then, attribute words are provided by processing the skeletal phrase and the feature maps with a second LSTM neural network trained based on a second set of ground truth phrases including words for attributes. Then, the method combines the skeletal phrase and the attribute words to form the output phrase.

Abstract: An electronic cigarette includes a cigarette housing, a cartridge received in the cigarette housing, a vaporizer, and an intelligent battery module. The intelligent battery module includes a battery casing, a battery supporting tray for accommodating at least one battery, a Printed Circuit Board (PCB) supported in the battery casing and is electrically connected to the battery supporting tray, a Main Control Unit (MCU) implemented on the PCB, and a resistance detection circuitry implemented on the PCB for detecting a resistance of the heating element. When the resistance of the heating element reaches a predetermined upper threshold, the MCU is configured to lower or cut off a voltage supplied to the heating element. When the resistance of the heating element reaches a predetermined lower threshold, the MCU is configured to supply a normal voltage to the heating element of the vaporizer.

Abstract: A device for constructing an underground reservoir by dissolving limestone using carbon dioxide. The device includes a CO2 storage tank; an absorption tower; a decompression valve; a gas-liquid separator; a crystallizer; a vacuum pump; a buffer tank; a first booster pump; a second booster pump; and a third booster pump. The decompression valve is connected to a limestone layer, and is connected to the gas-liquid separator. The absorption tower is connected between the gas-liquid separator and the limestone layer.

Abstract: Semantic segmentation techniques and systems are described that overcome the challenges of limited availability of training data to describe the potentially millions of tags that may be used to describe semantic classes in digital images. In one example, the techniques are configured to train neural networks to leverage different types of training datasets using sequential neural networks and use of vector representations to represent the different semantic classes.

Abstract: Provided are systems and techniques that provide an output phrase describing an image. An example method includes creating, with a convolutional neural network, feature maps describing image features in locations in the image. The method also includes providing a skeletal phrase for the image by processing the feature maps with a first long short-term memory (LSTM) neural network trained based on a first set of ground truth phrases which exclude attribute words. Then, attribute words are provided by processing the skeletal phrase and the feature maps with a second LSTM neural network trained based on a second set of ground truth phrases including words for attributes. Then, the method combines the skeletal phrase and the attribute words to form the output phrase.

Abstract: The present application provides a method for planning a recovery resource for resisting N-time faults and an optical transmission device, and the method includes: planning, on an optical transmission device according to preset network planning information, a recovery resource for resisting (N?1)-time faults for preset (N?1)-time faults, and the recovery resource for resisting (N?1)-time faults is an optimal recovery resource corresponding to each interrupted service during the preset (N?1)-time faults; and planning, by the optical transmission device according to the network planning information and the recovery resource for resisting (N?1)-time faults, a recovery resource for resisting N-time faults for preset N-time faults, where the recovery resource for resisting N-time faults is a network-wide optimal recovery resource corresponding to interrupted services during the N-time faults.

Abstract: A liquid crystal display panel and a method for forming the same and a display device are provided. The liquid crystal display panel includes two substrates opposite to each other and two polarizing plates at two sides of the two substrates away from each other. There exists a large cell gap region between the two substrates which has a cell gap larger than regions between the two substrates other than the large cell gap region, each polarizing plate includes a first polarizing layer, and at least one of the polarizing plates further includes a second polarizing layer. The second polarizing layer includes a pattern region corresponding to a position and a shape of the large cell gap region. There is an acute angle between a light absorption axis of the second polarizing layer at the pattern region and a light absorption axis of the first polarizing layer.

Abstract: A data traffic scheduling method that includes selecting, using a network controller, plurality of flows that traverses a network node, generating an augmented graph based on a flow rate of the plurality of flows and link capacities of the network node, computing a flow schedule for the flow using the augmented graph to minimize delay or delay variance of the flows, and outputting the flow schedule. A data traffic scheduling method that includes obtaining, using a network controller, a network topology for a network, generating an augmented graph based on the network topology, converting the augmented graph to a mixed-integer linear program, scheduling a flow in the network using the mixed-integer linear program to minimize delay or delay variance of the flow, and outputting a flow schedule.

Abstract: An apparatus for controlling an EL drive voltage for a display panel is disclosed, which includes a current sensing circuit configured to detect an EL drive current signal outputted to the display panel, and convert the EL drive current signal into a first voltage signal, a signal generation circuit configured to generate a pulse signal based on the first voltage signal, a current protection circuit configured to generate a first control signal based on the first voltage signal and a reference voltage, and a signal coupling circuit configured to output, based on the first control signal, the pulse signal or a low level signal as a second control signal to control the EL drive voltage. According to the embodiments of the present disclosure, the EL drive voltage of the display panel can be dynamically controlled, and be reset to normal when it is overhigh.

Abstract: A method, a device and a medium for managing an application program are provided. The method includes: type information of a first application program running on a foreground of a terminal is acquired; and the first application program is prevented from being debugged by other application programs if the type information of the first application program is preset type information.

Abstract: Provided are systems and techniques that provide an output phrase describing an image. An example method includes creating, with a convolutional neural network, feature maps describing image features in locations in the image. The method also includes providing a skeletal phrase for the image by processing the feature maps with a first long short-term memory (LSTM) neural network trained based on a first set of ground truth phrases which exclude attribute words. Then, attribute words are provided by processing the skeletal phrase and the feature maps with a second LSTM neural network trained based on a second set of ground truth phrases including words for attributes. Then, the method combines the skeletal phrase and the attribute words to form the output phrase.

Abstract: A method including determining how many optical channel (OCh) paths are available for border node pair connections; determining which of the OCh paths satisfy a preselected latency threshold; and reporting the OCh paths that satisfy the preselected latency threshold to a service coordinator.

Abstract: In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.