Abstract: The disclosure discloses a method for service processing and system, including: determining a first quantity parameter for acquiring shards each time and a second quantity parameter of objects acquired by each of the shards each time; assigning first weight to the first quantity parameter to obtain third quantity parameter for acquiring the shards; listing, from a plurality of shards at a bottom layer, shards corresponding to the third quantity parameter, and listing, from each of the shards which is listed, the objects corresponding to the second quantity parameter, so as to obtain a matrix, wherein the matrix takes each of the shards which is listed as a column and a plurality of objects corresponding to each shard as rows; successively extracting the plurality of the objects corresponding to each row of the matrix; and according to preset number of concurrent processing, processing the plurality of the objects extracted each time.

Abstract: Disclosed is a wireless detection device for quickly positioning a throw-fill stone falling depth and long-term settlement in blasting silt-squeezing construction, including a gravity ball and a signal receiving, processing and controlling system. The gravity ball is internally provided with test mechanisms, signal collecting and transmitting apparatuses and batteries. Also disclosed is a wireless detection method implemented using the above wireless detection device. The device and the method can detect the throw-fill stone falling depth and distribution situation in a blasting silt-squeezing construction process in real time, so that the effect evaluation and quality control of blasting silt-squeezing can be monitored in real time, the situation that the falling of throw-fill stones is incomplete can be acquired in time, monitoring data support can be provided for corresponding processing measures, and long-term settlement and other monitoring can be carried out.

Abstract: A data I/O processing method includes obtaining data requested consisting of a plurality of basic data blocks in sequence; grouping the data in sequence to obtain a plurality of segmented data blocks in sequence; sequentially determining whether each segmented data block has a time delay statistical record based on the time for completion of the operation processing of a previous basic data block; in response to the time delay statistical record being present in the segmented data block, setting a waiting time period according to the time delay statistical record; sequentially merging the basic data blocks, which have not been subjected to the operation processing, in the segmented data blocks within the waiting time period until the waiting time period is ended or the merged basic data blocks reach the size of the segmentation unit, and stopping merging; and sending the merged basic data blocks and performing the operation processing.

Abstract: Disclosed are a method and apparatus for retrieving and enumerating object metadata in a distributed storage system. The method includes: defining and configuring metadata of objects, and counting the number N of types of the metadata; constructing a metadata retrieval tree according to the metadata and the number N of the types of the metadata, each Mth node being associated with an Mth linked list; configuring objects in the Mth linked lists, the objects conforms to all metadata in metadata arrays in the Mth nodes; and configuring an index based on the metadata, pointing to a specified target node via the metadata retrieval tree according to the index, determining a target linked list according to the target node, and providing enumerated objects by the target linked list. Retrieval is performed based on the enumerated objects, such that the problems of consumption of a large number of CPU and disk resources and long retrieval time caused by full enumeration are solved.

Abstract: A method and system for identifying garbage data, an electronic device, and a storage medium. The method includes: uploading an object to a distributed object storage system; acquiring a head object identifier in an index storage pool of the distributed object storage system; querying a data storage pool for a target data group corresponding to the head object identifier; marking a tail object corresponding to a tail object identifier in the target data group as a target tail object; and marking tail objects in the data storage pool other than the target tail object as garbage data.

Abstract: A Micro-Electro-Mechanical System (MEMS) device includes a substrate, and a first sacrificial layer, a first conductive film, a second sacrificial layer, and a second conductive film successively laminated on the substrate, the second sacrificial layer being provided with a cavity; and further includes an amplitude-limiting layer provided with a first through hole and an isolation layer provided with a second through hole. The amplitude-limiting layer is located between the first conductive film and the first sacrificial layer and the isolation layer is located between the amplitude-limiting layer and the first conductive film, and/or the amplitude-limiting layer is located on the second conductive film and the isolation layer is located between the amplitude-limiting layer and the second conductive film. The amplitude-limiting layer extends to a projection region of an opening of the cavity and is in a suspended state.

Abstract: Disclosed is a wireless detection device for quickly positioning a throw-fill stone falling depth and long-term settlement in blasting silt-squeezing construction, including a gravity ball and a signal receiving, processing and controlling system. The gravity ball is internally provided with test mechanisms, signal collecting and transmitting apparatuses and batteries. Also disclosed is a wireless detection method implemented using the above wireless detection device. The device and the method can detect the throw-fill stone falling depth and distribution situation in a blasting silt-squeezing construction process in real time, so that the effect evaluation and quality control of blasting silt-squeezing can be monitored in real time, the situation that the falling of throw-fill stones is incomplete can be acquired in time, monitoring data support can be provided for corresponding processing measures, and long-term settlement and other monitoring can be carried out.

Abstract: Methods and systems for training a machine learning model include training a machine learning model using training data. A status of the machine learning model's training is determined based on an accuracy curve of the machine learning model over the course of the training. Parameters of the training are adjusted based on the status. Training of the machine learning model is completed using the adjusted parameters.

Abstract: A file storage method, apparatus, device and a readable storage medium. The method includes: performing striping processing on a target file to obtain multiple target objects, and calculating fingerprint information of each target object; using a first target object and logical information of the target file to form a logical header object, and storing the logical header object in a storage system; using the fingerprint information of each second target object to determine whether the second target object has been stored in the storage system; and if the second target object has not been stored in the storage system, determining the second target object as a third target object and storing same in the storage system. According to the method, logical information of each file can be preserved, and files of some users can be prevented from being modified or deleted after deduplication is performed in the storage system.

Abstract: A method and system for identifying garbage data, an electronic device, and a storage medium. The method includes: uploading an object to a distributed object storage system (S101); acquiring a head object identifier in an index storage pool of the distributed object storage system (S102); querying a data storage pool for a target data group corresponding to the head object identifier (S103); marking a tail object corresponding to a tail object identifier in the target data group as a target tail object (S104); and marking tail objects in the data storage pool other than the target tail object as garbage data (S105). The method can identify garbage data in a distributed object storage system.

Abstract: A one-shot neural architecture search method referred to as MergeNAS by merging different types of convolutions into a single operation. This mergence approach reduces the search cost to roughly half a GPU-day as well as alleviates the over-fitting problem caused by a traditional differentiable architecture search (DARTS) approach by reducing the number of redundant parameters.

Abstract: A Micro-Electro-Mechanical System (MEMS) device includes a substrate, and a first sacrificial layer, a first conductive film, a second sacrificial layer, and a second conductive film successively laminated on the substrate, the second sacrificial layer being provided with a cavity; and further includes an amplitude-limiting layer provided with a first through hole and an isolation layer provided with a second through hole. The amplitude-limiting layer is located between the first conductive film and the first sacrificial layer and the isolation layer is located between the amplitude-limiting layer and the first conductive film, and/or the amplitude-limiting layer is located on the second conductive film and the isolation layer is located between the amplitude-limiting layer and the second conductive film. The amplitude-limiting layer extends to a projection region of an opening of the cavity and is in a suspended state.

Abstract: Aspects of the invention include systems and methods to obtain meta features of a dataset for training in a deep learning application. A method includes selecting an initial search space that defines a type of deep learning architecture representation that specifies hyperparameters for two or more neural network architectures. The method also includes applying a search strategy to the initial search space. One of the two or more neural network architectures are selected based on a result of an evaluation according to the search strategy. A new search space is generated with new hyperparameters using an evolutionary algorithm and a mutation type that defines one or more changes in the hyperparameters specified by the initial search space, and, based on the mutation type, the new hyperparameters are applied to the one of the two or more neural networks or the search strategy is applied to the new search space.

Abstract: A method for multi-layer quality of service (QoS) management in a distributed computing environment includes receiving a workload and identifying a workload QoS class for the workload. The workload is scheduled to be run compute nodes. The workload QoS class is translated to a plurality of different resource layer QoS classes, and the plurality of QoS classes are communicated to a workload execution manager of the compute nodes. The workload execution manager extends the plurality of different resource layer QoS classes to respective resource layers involved in the running of the workload.

Abstract: A system for multi-layer quality of service (QoS) management in a distributed computing environment includes a management node hosting a workload scheduler configured to receive a workload and identify a workload QoS class for the workload. The workload scheduler schedules running of the workload on compute nodes, translate the workload QoS class to a plurality of different resource layer QoS classes, and communicates the plurality of QoS classes to a workload execution manager of the compute nodes. The workload execution manager is configured to extend the plurality of different resource layer QoS classes to respective resource layers involved in the running of the workload.

Abstract: A method, computer program product, and system for optimizing service pools supporting resource sharing and enforcing SLAs, to minimize service restart. A computer processor determines a first resource to be idle, wherein a service instance continues to occupy the first resource that is idle. The processor adds the first resource to a resource pool, wherein the service instance continues to occupy the first resource as a global standby service instance on the first resource. The processor receives a request for a resource, wherein the request for the resource includes a global name associated with a service that corresponds to the global standby service instance, and the processor allocates, from the resource pool, the first resource having the global standby service instance, based on the request for the resource that includes the global name associated with the service corresponding to the global standby service instance.

Abstract: A computer-implemented method, according to one embodiment, includes: splitting a video stream into a plurality of sub-streams, and encoding each of the sub-streams. A packet is also transmitted to a receiver, where the packet includes a number of the encoded sub-streams. Moreover, the number of the encoded sub-streams that are included in the packet transmitted to the receiver corresponds to a quality of service associated with a service cost incurred by the receiver. Other systems, methods, and computer program products are described in additional embodiments.

Abstract: A single workload scheduler schedules sessions and tasks having a tree structure to resources, wherein the single workload scheduler has scheduling control of the resources and the tasks of the parent-child workload sessions and tasks. The single workload scheduler receives a request to schedule a child session created by a scheduled parent task that when executed results in a child task; the scheduled parent task is dependent on a result of the child task. The single workload scheduler receives a message from the scheduled parent task yielding a resource based on the resource not being used by the scheduled parent task, schedules tasks to backfill the resource, and returns the resource yielded by the scheduled parent task to the scheduled parent task based on receiving a resume request from the scheduled parent task or determining dependencies of the scheduled parent task have been met.

Abstract: A MEMS microphone comprises a substrate (110), a lower electrode layer (120), a sacrificial layer (130), a stress layer (140), and an upper electrode layer (150). The substrate (110) is centrally provided with a first opening (111), and the lower electrode layer (120) stretches across the substrate (110). The sacrificial layer (130), the stress layer (140), and the upper electrode layer (150) are sequentially laminated on the lower electrode layer (120), and a second opening (160) is provided on the sacrificial layer (130) and the stress layer (140). The second opening (160) is provided in correspondence with the first opening (111). A stress direction of the stress layer (140) is reverse to a warpage direction of the substrate (110).

Abstract: Embodiments of embodiments of the present invention relate to generation of a training model using virtual dataset and probe training models. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a user dataset for training; testing, by the device, the user dataset with one or more probe training models; and in response to a result of the testing being similar to an existing result of running the one or more probe training models on an existing virtual dataset, grouping, by the device, the user dataset with the existing virtual dataset.