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.

Abstract: A method comprising identifying a physical ring in a physical layer of a network according to a logical ring in a logical layer of the network, wherein the logical ring is formed from a plurality of nodes interconnected by a plurality of logical links, and wherein the physical ring is formed from at least the plurality of nodes interconnected by a first plurality of physical links, computing a plurality of cross cord paths across the physical ring, and mapping the logical ring onto the physical layer to provide dual physical link failure survivability by determining primary paths and secondary paths for the plurality of logical links over the physical ring and the plurality of cross cord paths such that a secondary path of a first of the plurality of logical links is non-overlapping with a primary path of a second of the plurality of logical links.

Abstract: A method including determining, for each reachable source-destination (S-D) node pair, a maximal number of optical channel (OCh) paths available for source-destination node pair connections and determining, if a preselected latency threshold is specified, for all available OCh paths a maximal number of paths satisfying the preselected latency threshold. The available OCh paths are reported to a Multi-Domain Service coordinator (MDSC).

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.

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 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: 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: A data encryption method performed at a computing device includes: receiving a data encryption request, the data encryption request indicating original data that needs to be encrypted and at least two target storage devices that are communicatively connected to the computing device; in response to the data encryption request: separately obtaining unique device information of the at least two target storage devices; generating, based on the unique device information, a public key according to a preset policy; encrypting the original data by using the public key to obtain ciphertext; and destructing relevant data of the public key from the computing device, and storing the ciphertext into the at least two target storage devices.

Abstract: A method for building an underground storehouse by dissolving limestone with carbon dioxide, the method comprising the following steps: a.) drilling two wells extending from the ground surface (1) to a limestone layer (2), building a channel (5) allowing the two wells to communicate, and installing casing pipes (3, 4) respectively in the two wells; b.) introducing CO2 gas having at least 1 MPa of pressure into a CO2 absorbing solution having the same pressure to form a CO2 solution, flowing the CO2 solution into underground via the casing pipe (3) to react with the limestone to form a calcium bicarbonate solution, forming a cavern in the meanwhile, and discharging the calcium bicarbonate solution via the other casing pipe (4); c.) decompressing the discharged calcium bicarbonate solution to decompose the calcium bicarbonate contained in the solution into CO2, water and calcium carbonate, and recycling the separated CO2 absorption solution and the CO2; repeating steps b.) and c.

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.