Abstract: A chip module has a plurality of first ports, at least some or all of the first ports are first selection ports, and each first selection port may act as a write port or a read port. The chip module further includes a first control module. The first control module controls, based on a transmit/receive requirement of the chip module, the first selection port to be switched to a read port or a write port, to match the transmit/receive requirement of the chip module. The first selection port may selectively act as a read port or a write port, so that switching can be performed based on an operating state of the chip module, increasing a read/write bandwidth. The first control module controls an operating state of the first selection port, to flexibly adjust a quantity of read ports and a quantity of write ports of the chip module.

Abstract: The present invention relates to a dehumidification bag and a preparation method thereof. The dehumidification bag comprises a bag body including a first side sheet and a second side sheet, the side sheet comprises an air-permeability and/or a composite film, wherein at least all or part of at least one side sheet is an air-permeability film; a moisture-proof layer covers the outside of the air-permeability. The dehumidification bag provided by the present invention provides an air-permeability on the bag body, and adopts heat sealing between the outer surface of the air-permeability layer and the moisture-proof layer, so that the air-permeability and the moisture-proof layer are in close contact without moisture absorption, which effectively prevents damage during transportation and storage.

Abstract: A storage system comprises a storage drive that has a physical connector A and a physical connector B for connecting to the first control device and second control device, respectively. The physical connector A and physical connector B are independent access ports. The first control device is configured to access the storage drive through the physical connector A, and the second control device is configured to access the storage drive through the physical connector B.

Abstract: A method is presented for analyzing interactions in a human genome. The method includes: receiving a biological sample of a cell from a subject; extracting read data from the biological sample, where the read data includes a set of reads; and constructing, by a computer processor, a hypergraph from the read data, where each node in the hypergraph represents a locus and hyperedges in the hypergraph represent interactions between two or more loci. The hypergraphs may be used for different applications including determining entropy, comparing different biological samples and reporting multi-way contacts in a set of transcription clusters.

Abstract: A first storage node communicates with at least one second storage node. A physical disk included in the at least one second storage node is mapped as a virtual disk of the first storage node. The method may include: receiving a first write request, where the first write request carries first to-be-written data; striping the first to-be-written data to obtain striped data, and writing the striped data to a physical disk and/or the virtual disk of the first storage node; and recording a write location of the striped data. For example, the technical solution may be applied to a storage system that includes an NVMe SSD.

Abstract: A chassis includes a chassis body and an installation frame, and the chassis body has a channel that passes through a first end and a second end that are of the chassis body. The installation frame is slidably disposed in the channel of the chassis body. The installation frame has a first part facing the first end of the chassis body and a second part facing the second end of the chassis body; and the first part is capable of sliding out from the first end of the chassis body, and the second part is capable of sliding out from the second end of the chassis body.

Abstract: The present disclosure provides a deep neural network (DNN)-based reconstruction method and apparatus for compressive video sensing (CVS). The method divides a video signal into a key frame and a non-key frame. The key frame is reconstructed by using an existing image reconstruction method. The non-key frame is reconstructed by using a special DNN according to the present disclosure. The neural network includes an adaptive sampling module, a multi-hypothesis prediction module, and a residual reconstruction module. The neural network makes full use of a spatio-temporal correlation of the video signal to sample and reconstruct the video signal. This ensures low time complexity of an algorithm while improving reconstruction quality. Therefore, the method in the present disclosure is applicable to a video sensing system with limited resources on a sampling side and high requirements for reconstruction quality and real-time performance.

Abstract: A data processing system and method, and a corresponding apparatus, where the data processing system includes a controller and at least two storage nodes. The controller is configured to receive, using a first coupling between the controller and a host, an operation request received from the host, where the operation request includes an identity of target data and an operation type, determine at least one target storage node from the at least two storage nodes according to the identity of the target data, and send an instruction message to the at least one target storage node using a second coupling to the at least one target storage node, where the at least one target storage node is configured to send the target data to the host or obtain the target data from the host according to the instruction message.

Abstract: A data storage method includes that a first device generates N check units for M data units, where M and N are both positive integers, and M+N=K. The first device stores the K units in K hard disk modules in the storage system, where the K units include the M data units and the N check units. Each of the K hard disk modules stores one of the K units. Each hard disk module includes an interface module and a hard disk, and the interface module communicates with the hard disk.

Abstract: A method for micro-ridge mixed-sowing cultivation of dryland crops includes the following steps: S1: cleaning ditches and draining away water in dryland; S2: harvesting the preceding crop, leaving the stubble, smashing the stalks of the preceding crop, and then spreading the smashed stalks on the stubble; S3: trenching the dryland to form ecological trenches; S4: flattening the standing stubble and the smashed stalks on the seedbed surface to form an underlying surface, molding seed-fertilizer-soil compounds into a ridge shape and falling the seed-fertilizer-soil compounds on the underlying surface to form ecological ridges, wherein a plurality of ecological ridges are formed between adjacent ecological trenches, an ecological depression is formed between adjacent ecological ridges, and after sowing, an irrigation is carried out once in a manner, wherein the manner includes: draining water shortly after the irrigation, without leaving a water layer in the field.

Abstract: A method for micro-ridge mixed-sowing cultivation of rice includes: S1: draining away water at the maturity stage of the preceding crop until reaching a state allowing a harvester to operate; S2: harvesting the preceding crop, leaving the stubble, smashing the stalks of the preceding crop, and then spreading the smashed stalks on the stubble to form a rhizosphere layer for rice growth; S3: trenching the field to form ecological trenches; S4: flattening the standing stubble and the smashed stalks on the seedbed surface to form an underlying surface, molding seed-fertilizer-soil compounds into a ridge shape and fall the seed-fertilizer-soil compounds on the underlying surface to form ecological ridges, wherein a plurality of ecological ridges are formed between adjacent ecological trenches, and the seed-fertilizer-soil compounds are obtained by thoroughly mixing rice seeds, chemical fertilizers and soil at a mass ratio of 6 to 14:50 to 70:6,000 to 10,000.

Abstract: A method of reconstruction of super-resolution of video frame includes inputting a first video frame with a first resolution and a plurality of consecutive frames thereof into a pre-trained super-resolution reconstruction network, and outputting, by the pre-trained super-resolution reconstruction network, a second video frame with a second resolution corresponding to the first video frame. The second resolution is higher than the first resolution. The super-resolution reconstruction network includes a feature extraction subnetwork, a spatial-temporal non-local alignment subnetwork, an attention progressive fusion subnetwork, and an up-sampling subnetwork which are connected in sequence.

Abstract: A first storage node communicates with at least one second storage node. A physical disk included in the at least one second storage node is mapped as a virtual disk of the first storage node. The method may include: receiving a first write request, where the first write request carries first to-be-written data; striping the first to-be-written data to obtain striped data, and writing the striped data to a physical disk and/or the virtual disk of the first storage node; and recording a write location of the striped data. For example, the technical solution may be applied to a storage system that includes an NVMe SSD.

Abstract: A redundant data calculation method and apparatus. The method is applied to the redundant data calculation apparatus including a processor and a redundant data calculation unit. In the method, after obtaining to-be-processed data, the processor stores the to-be-processed data in cache space of the redundant data calculation unit. The redundant data calculation unit obtains the to-be-processed data from the cache space and performs calculation for checking the to-be-processed data to obtain redundant data corresponding to the to-be-processed data.

Abstract: A storage system comprises a storage drive that has a physical connector A and a physical connector B for connecting to the first control device and second control device, respectively. The physical connector A and physical connector B are independent access ports. The first control device is configured to access the storage drive through the physical connector A, and the second control device is configured to access the storage drive through the physical connector B.

Abstract: A data storage method, a computing device, and a storage system determine, from S stripes, chunks written in one batch, wherein a quantity of chunks that are in the chunks written in one batch and that belong to a same stripe is less than or equal to N, where each of the S stripes comprises (M+N) chunks, where the (M+N) chunks comprise M data chunks and N parity chunks, and where S, M, and N are positive integers, and in turn write the chunks written in one batch to M+N storage devices.

Abstract: A method for implementing storage service continuity in a storage system includes a front-end interface detecting a status of a first storage controller. The storage system includes the front-end interface card and a plurality of storage controllers. The front-end interface card communicates with the storage controllers, and the front-end interface card communicates with a host. When the first storage controller is in an abnormal state, the front-end interface card selects a second storage controller from the storage controllers for the host to process an access request of the host.

Abstract: A storage system comprises a host, a first control device, a second control device, and a storage drive that has a physical connector A and a physical connector B for connecting to the first control device and second control device, respectively. When the storage drive is configured to operate in first working mode, it provides a shared storage space to be accessed by both the first control device and the second control device. When the storage drive is configured to operate in a second working mode, it provides a first storage space for access by the first control device and a second storage space for access by the second control device.

Abstract: The present disclosure provides a deep neural network (DNN)-based reconstruction method and apparatus for compressive video sensing (CVS). The method divides a video signal into a key frame and a non-key frame. The key frame is reconstructed by using an existing image reconstruction method. The non-key frame is reconstructed by using a special DNN according to the present disclosure. The neural network includes an adaptive sampling module, a multi-hypothesis prediction module, and a residual reconstruction module. The neural network makes full use of a spatio-temporal correlation of the video signal to sample and reconstruct the video signal. This ensures low time complexity of an algorithm while improving reconstruction quality. Therefore, the method in the present disclosure is applicable to a video sensing system with limited resources on a sampling side and high requirements for reconstruction quality and real-time performance.

Abstract: A novel sweat absorbing textile electrode comprises a textile electrode body and an electrical coupling member, the textile electrode body comprising a conductive foam and a conductive fabric wrapped around the conductive foam, the electrical coupling member being fixed on the conductive fabric; wherein a through hole is provided on the conductive fabric on the side in contact with the human skin. The textile electrode has a light weight, small size and soft texture. It fits on the skin, has good air permeability, and is capable to absorb sweat, which can prevent short circuit between electrodes caused by sweat and be used for collecting bioelectrical signal when sweat comes out from human body. It may also be applied in bioelectrical signal monitoring in high temperature, high humidity environment, and during daily exercise.