Abstract: A tunnel automatic monitoring and measuring equipment and method based on fixed-point tour measurement are provided. The equipment includes a monitoring trolley that can move freely in the longitudinal direction of the tunnel, multiple automatic tracking and identification devices are set on the monitoring trolley, the automatic tracking and identification device is connected to the background processing system telecommunication; a monitoring points with reflective markings are arranged on the surface of the tunnel support structure, under the cooperation of the monitoring trolley and the automatic tracking and identification device, the reflective markings set on the tunnel support structure can be automatically measured at the fixed point to obtain the coordinate information of the relevant monitoring points; then, the deformation data of the support structure required in the construction process are extracted by coordinate information calculation.

Abstract: Provided is a pig genome-wide specific sgRNA library, a preparation method therefor, and an application thereof. The sgRNA is targeted at a pig genome-wide protein-coding gene, lincRNA and/or miRNA. Specifically, an sgRNA construct has the following structure: AL-N20-AR, wherein AL is the left homology arm sequence located at the upstream of the coding sequence of a pig specific SgRNA, N20 is the coding sequence of the pig specific SgRNA, and AR is a right homology arm sequence located at the downstream of the coding sequence of the pig specific sgRNA. The sgRNA library can be used for screening functional genes of a pig or for preparing a kit.

Abstract: In a data read method a plurality of tuples meeting a read condition are determined in a case that the data read request is received and according to a read condition carried in the data read request. Global transaction statuses of a plurality of global transactions corresponding to the plurality of tuples are obtained. Global commit times of the plurality of global transactions according to the global transaction statuses of the plurality of global transactions are obtained. Then a target tuple from the plurality of tuples is determined based on the global commit times of the plurality of global transactions, the target tuple being visible relative to the data read request.

Abstract: A big data processing method based on direct computation of compressed data. The method includes 1) compressing, based on a modified Sequitur compression method, original input data according to a smallest compression granularity given by an user, and transforming them into a directed acyclic graph, DAG, consisting of digits; and 2) determining an optimal traversal pattern, and performing a top-downward traversal or a bottom-upward traversal on the DAG in the step 1) based on the determined optimal traversal pattern so as to enable direct processing of the compressed data. By providing a modified Sequitur algorithm and top-downward and bottom-upward traversal strategies in the disclosure, direct processing of compressed data is enabled, significant improvement in time and space has been gained with broad applicability, and certain representations with respect to more advanced document analytics can still be derived on the basis of these.

Abstract: Technologies for managing memory on a compute device are disclosed. The compute device is configured to determine the quality of a user experience of the compute device when a certain combination of applications are running on the compute device and stores an indication of the quality of the user experience that corresponds to that combination of applications. At a later time, such as when a user selects an application to be launched, the compute device may check if the current combination of applications is expected to have an acceptable quality of a user experience. If not, the compute device may kill one or more of the current combination of applications to improve the expected quality of the user experience.

Abstract: A big data processing method based on direct computation of compressed data. The method includes 1) compressing, based on a modified Sequitur compression method, original input data according to a smallest compression granularity given by an user, and transforming them into a directed acyclic graph, DAG, consisting of digits; and 2) determining an optimal traversal pattern, and performing a top-downward traversal or a bottom-upward traversal on the DAG in the step 1) based on the determined optimal traversal pattern so as to enable direct processing of the compressed data. By providing a modified Sequitur algorithm and top-downward and bottom-upward traversal strategies in the disclosure, direct processing of compressed data is enabled, significant improvement in time and space has been gained with broad applicability, and certain representations with respect to more advanced document analytics can still be derived on the basis of these.

Abstract: This application discloses a data storage method and associated server, and a non-transitory computer readable storage medium, and belongs to the field of data processing technologies. The method includes: determining historical-state data of a to-be-dumped data item from a database, and determining a service requirement of the historical-state data; determining a target storage format of the historical-state data according to the service requirement; and dumping the historical-state data according to the target storage format.

Abstract: Technologies for managing memory on a compute device are disclosed. The compute device is configured to determine the quality of a user experience of the compute device when a certain combination of applications are running on the compute device and stores an indication of the quality of the user experience that corresponds to that combination of applications. At a later time, such as when a user selects an application to be launched, the compute device may check if the current combination of applications is expected to have an acceptable quality of a user experience. If not, the compute device may kill one or more of the current combination of applications to improve the expected quality of the user experience.

Abstract: A data processing method is provided. The method includes obtaining an operation instruction, the operation instruction including operation type information and target data unit information corresponding to a target data unit; querying a target data group in a data group set according to the target data unit information, the data group set including at least one data group, the data group including at least one data unit; obtaining locked-state information of the target data group; performing locking detection on the target data unit based on the locked-state information and the operation type information to obtain a detection result; performing locking processing on the target data unit based on the detection result; and executing the operation instruction after the locking processing is performed, to perform an operation corresponding to the operation type information on the target data unit.

Abstract: In a data read method a plurality of tuples meeting a read condition are determined in a case that the data read request is received and according to a read condition carried in the data read request. Global transaction statuses of a plurality of global transactions corresponding to the plurality of tuples are obtained. Global commit times of the plurality of global transactions according to the global transaction statuses of the plurality of global transactions are obtained. Then a target tuple from the plurality of tuples is determined based on the global commit times of the plurality of global transactions, the target tuple being visible relative to the data read request.

Abstract: Technologies for managing memory on a compute device are disclosed. The compute device is configured to determine the quality of a user experience of the compute device when a certain combination of applications are running on the compute device and stores an indication of the quality of the user experience that corresponds to that combination of applications. At a later time, such as when a user selects an application to be launched, the compute device may check if the current combination of applications is expected to have an acceptable quality of a user experience. If not, the compute device may kill one or more of the current combination of applications to improve the expected quality of the user experience.

Abstract: Provided is a pig genome-wide specific sgRNA library, a preparation method therefor, and an application thereof. The sgRNA is targeted at a pig genome-wide protein-coding gene, lincRNA and/or miRNA. Specifically, an sgRNA construct has the following structure: AL-N20-AR, wherein AL is the left homology arm sequence located at the upstream of the coding sequence of a pig specific SgRNA, N20 is the coding sequence of the pig specific SgRNA, and AR is a right homology arm sequence located at the downstream of the coding sequence of the pig specific sgRNA. The sgRNA library can be used for screening functional genes of a pig or for preparing a kit.

Abstract: This application discloses a data storage method and associated server, and a non-transitory computer readable storage medium, and belongs to the field of data processing technologies. The method includes: determining historical-state data of a to-be-dumped data item from a database, and determining a service requirement of the historical-state data; determining a target storage format of the historical-state data according to the service requirement; and dumping the historical-state data according to the target storage format.

Abstract: Technologies for managing memory on a compute device are disclosed. The compute device is configured to determine the quality of a user experience of the compute device when a certain combination of applications are running on the compute device and stores an indication of the quality of the user experience that corresponds to that combination of applications. At a later time, such as when a user selects an application to be launched, the compute device may check if the current combination of applications is expected to have an acceptable quality of a user experience. If not, the compute device may kill one or more of the current combination of applications to improve the expected quality of the user experience.

Abstract: A method and system for context sensing is described herein. The method includes determining if sensor data obtained via a number of sensors exceed a predetermined threshold. The method also includes increasing a sampling rate of any of the sensors to obtain context data corresponding to a computing device if the sensor data exceed the threshold. The method further includes analyzing the context data to classify a context of the computing device.

Abstract: A method and system for context sensing is described herein. The method includes determining if sensor data obtained via a number of sensors exceed a predetermined threshold. The method also includes increasing a sampling rate of any of the sensors to obtain context data corresponding to a computing device if the sensor data exceed the threshold. The method further includes analyzing the context data to classify a context of the computing device.