Abstract: One example embodiment is a method for managing access control of a smart door lock system, including the steps of: generating a random key as a second card identifier for an access card having a first card identifier, wherein the first and second card identifiers form a card data set; pushing the card data set to a cloud server and storing the card data set in a database; assigning the access card to a smart door lock having a door lock identifier; pushing the first card identifier and the door lock identifier to the cloud server; pushing the card data set to the smart door lock; and storing the card data set as an assigned password set, such that the access card has authorization to control the locking/unlocking of the smart door lock. Other example embodiments are described herein. In certain embodiments, the system is simple and convenient to operate.

Abstract: The present application discloses a method and a system for analyzing and predicting a vehicle stay behavior based on multi-task learning, and the method includes the following steps: acquiring vehicle GPS and OBD data including a vehicle ID, a travel start time, a start longitude, a start latitude, an end time, an end longitude, and an end latitude after desensitization; preprocessing vehicle GPS and OBD data to obtain vehicle stay behavior data including stay location and stay duration; extract a spatial-temporal characteristic of the preprocessed vehicle stay behavior data by a deep recurrent neural network; inputting the spatial-temporal characteristic into a multi-task learning and predicting network, and obtaining the correlation between a stay location prediction task and the stay duration prediction task based on the historical stay behavior of the vehicle through the multi-task learning and predicting network to predict the stay location and stay duration.

Abstract: The present application discloses a method and a system for analyzing and predicting a vehicle stay behavior based on multi-task learning, and the method includes the following steps: acquiring vehicle GPS and OBD data including a vehicle ID, a travel start time, a start longitude, a start latitude, an end time, an end longitude, and an end latitude after desensitization; preprocessing vehicle GPS and OBD data to obtain vehicle stay behavior data including stay location and stay duration; extract a spatial-temporal characteristic of the preprocessed vehicle stay behavior data by a deep recurrent neural network; inputting the spatial-temporal characteristic into a multi-task learning and predicting network, and obtaining the correlation between a stay location prediction task and the stay duration prediction task based on the historical stay behavior of the vehicle through the multi-task learning and predicting network to predict the stay location and stay duration.

Abstract: The present application discloses a vehicle-mounted heterogeneous network collaborative task unloading method, which comprises the following steps: calculating a communication delay when a vehicle requests a cache from a smart lamp post for a vehicle terminal; taking the maximum communication delay in all the caches as the communication delay between the vehicle and the smart lamp post network, and determining whether the communication delay is less than the time when the vehicle sends a request to a cloud center, if so, unloading a task to the smart lamp post network, otherwise, unloading a task to the cloud center; taking profit of a single smart lamp post itself as an index for the smart lamp post terminal, dividing the smart lamp post network into a plurality of coalitions, taking the profit maximization of the coalition as an optimization objective, optimizing a smart lamp post combination in the coalition.

Abstract: Disclosed is a nano dispersion copper alloy with high air-tightness and low free oxygen content and a brief manufacturing process thereof, wherein alloy comprises the following components: Al2O3, Ca and La. The manufacturing process comprises the following steps of: preparing Cu—Al2O3 alloy powder by an internal oxidation method; mixing the Cu—Al2O3 alloy powder with Cu—Ca—La alloy powder; sheathing the mixed powder under protection of argon; performing hot extrusion and then rotary forging; vacuumizing the sheath after the rotary forging; and sealing and placing the sheath in a nitrogen atmosphere with a temperature of 450° C. to 550° C. and a pressure intensity of 40 Mpa to 60 Mpa for 3 hours to 5 hours. The dispersion copper prepared by the present disclosure has the advantages of low free oxygen content (?15 ppm), high dimensional stability, good air-tightness and an air leakage rate?1.0×10?10 Pa m3/s after hydrogen annealing.

Abstract: Disclosed is a nano dispersion copper alloy with high air-tightness and low free oxygen content and a brief manufacturing process thereof, wherein alloy comprises the following components: Al2O3, Ca and La. The manufacturing process comprises the following steps of: preparing Cu—Al2O3 alloy powder by an internal oxidation method; mixing the Cu—Al2O3 alloy powder with Cu—Ca—La alloy powder; sheathing the mixed powder under protection of argon; performing hot extrusion and then rotary forging; vacuumizing the sheath after the rotary forging; and sealing and placing the sheath in a nitrogen atmosphere with a temperature of 450° C. to 550° C. and a pressure intensity of 40 Mpa to 60 Mpa for 3 hours to 5 hours. The dispersion copper prepared by the present disclosure has the advantages of low free oxygen content (?15 ppm), high dimensional stability, good air-tightness and an air leakage rate?1.0×10?10 Pa m3/s after hydrogen annealing.

Abstract: A method of resilvering a plurality of failed devices in storage pools includes detecting a failure of a first storage device in a storage pool, identifying data blocks that were stored on the first storage device that are also stored on other storage devices, and resilvering the first storage device by transferring the data blocks from the other storage devices. While resilvering the first storage device, the method includes detecting a failure of a second storage device in the storage pool, identifying a subset of the data blocks that were stored on the first storage device that were also stored on the second storage device, and reusing a set of sequential I/O commands to resilver at least a portion of the second storage device with the subset of the data blocks.

Abstract: A method of resilvering a plurality of failed devices in storage pools includes detecting a failure of a first storage device in a storage pool, identifying data blocks that were stored on the first storage device that are also stored on other storage devices, and resilvering the first storage device by transferring the data blocks from the other storage devices. While resilvering the first storage device, the method includes detecting a failure of a second storage device in the storage pool, identifying a subset of the data blocks that were stored on the first storage device that were also stored on the second storage device, and reusing a set of sequential I/O commands to resilver at least a portion of the second storage device with the subset of the data blocks.

Abstract: A method of resilvering a plurality of failed devices in a storage pool may include detecting a failure of a first storage device in the storage pool, and determining a plurality of data blocks that are stored on the first storage device. The method may also include sorting the plurality of data blocks into one or more buckets in an order in which the plurality of data blocks are located on the first storage device, and detecting a failure of a second storage device in the storage pool after detecting the failure of the first storage device. The method may further include determining that one or more of the plurality of data blocks are also located on the second storage device, and reusing at least part of the one or more buckets to resilver the second storage device.

Abstract: A method of reconstructing data from a failed storage device in a storage pool includes identifying a plurality of data blocks that are stored on the failed storage device, and sorting the plurality of data blocks in an order in which the plurality of data blocks are located on the failed storage device. Each of the plurality of data blocks may be associated with an I/O operation. The method may also include grouping the I/O operations for the plurality of data blocks into sequential I/O operations based on the order in which the plurality of data blocks are located on the failed storage device, and executing the sequential I/O operations to resilver a new storage device replacing the failed storage device.

Abstract: A light-emitting safe buckle is disclosed. The buckle includes, a light-emitting device, and a male buckle and a female buckle made of a transparent or translucent material, the light-emitting device being disposed on an intermediate setting portion of the male buckle. The male buckle and the female buckle are both made of a transparent or translucent material, such that light emitted by the light-emitting device can be quickly conducted and diffused to the whole structure.

Abstract: A light-emitting safe buckle is disclosed. The buckle includes, a light-emitting device, and a male buckle and a female buckle made of a transparent or translucent material, the light-emitting device being disposed on an intermediate setting portion of the male buckle. The male buckle and the female buckle are both made of a transparent or translucent material, such that light emitted by the light-emitting device can be quickly conducted and diffused to the whole structure.

Abstract: A method of reconstructing data from a failed storage device in a storage pool includes identifying a plurality of data blocks that are stored on the failed storage device, and sorting the plurality of data blocks in an order in which the plurality of data blocks are located on the failed storage device. Each of the plurality of data blocks may be associated with an I/O operation. The method may also include grouping the I/O operations for the plurality of data blocks into sequential I/O operations based on the order in which the plurality of data blocks are located on the failed storage device, and executing the sequential I/O operations to resilver a new storage device replacing the failed storage device.

Abstract: A method of resilvering a plurality of failed devices in a storage pool may include detecting a failure of a first storage device in the storage pool, and determining a plurality of data blocks that are stored on the first storage device. The method may also include sorting the plurality of data blocks into one or more buckets in an order in which the plurality of data blocks are located on the first storage device, and detecting a failure of a second storage device in the storage pool after detecting the failure of the first storage device. The method may further include determining that one or more of the plurality of data blocks are also located on the second storage device, and reusing at least part of the one or more buckets to resilver the second storage device.

Abstract: A recombinant dog chews from animal skin forming technique is disclosed. The process comprising the steps of: granulate the scrap skin materials. After cortical granulate, the piece size is 0.5 mm-20 mm; put the skin particulates into clean water and soak, the soaking time is not less than 2 h; 3) After soaking, the cortical granules were melted at a pre-set temperature. Forming a gel and extruded to form a whole piece skin. Through this process the recombinant animal skins become homogeneous structure, there is no grainy after this process, the product quality was enhanced. Since we do not add any kind of binder such as gelatin, a recombinant hide has a very excellent flexibility, the toughness was almost the same, thus it's easier to tie a knot during the manufacturing process later on.