Abstract: An antenna and a mobile terminal are provided. The antenna includes a plurality of antenna units arranged in an array, and each antenna unit includes a first radiating element and a second radiating element, where the first radiating element includes a first slot disposed on a metal layer, the second radiating element includes at least one radiating stub, and the first radiating element is coupled to the at least one radiating stub. In any two adjacent antenna units, a feeder of one antenna unit is connected to a first radiating element of the antenna unit, and a feeder of the other antenna unit is connected to a second radiating element of the antenna unit. In the technical solution, feeders of adjacent antenna units are directly connected to different first radiating elements and second radiating elements.

Abstract: In a multi-cloud computing environment comprising a plurality of cloud platforms, wherein one cloud platform is a source of a model and a data set and further wherein the model is to be executed against the data set on one or more of the other cloud platforms, the method maintains a decentralized architecture comprising a file system and a message bus, wherein the file system comprises a plurality of decentralized file system nodes corresponding to the plurality of cloud platforms, and the message bus comprises a plurality of decentralized message bus nodes corresponding to the plurality of cloud platforms. Further, the method manages sharing of the model and the data set via at least a portion of the decentralized file system nodes and manages messaging related to execution of the model against the data set via at least a portion of the decentralized message bus nodes.

Abstract: Described is a system and method that provides a data protection risk assessment for the overall functioning of a backup and recovery system. Accordingly, the system may provide a single overall risk assessment score that provide an operator with an “at-a-glance” overview of the entire system. Moreover, the system may account for changes that occur over time based on leveraging statistical methods to automatically generate assessment scores for various components (e.g. application, server, network, load, etc.). In order to determine a risk assessment score, the system may utilize a predictive model based on historical data. Accordingly, residual values for newly observed data may be determined using the predictive model and the system may identify potentially anomalous or high risk indicators.

Abstract: Methods, devices and computer program products for data analysis are provided. For example, a method comprises: in response to receiving target data from a target sensor at a first time, determining one or more reference sensors based on location information of a neighbor sensor adjacent to the target sensor and a second time of receiving the latest data from the neighbor sensor; determining reference estimation data of the one or more reference sensors at the first time based on historical sensor data obtained from the one or more reference sensors; determining target estimation data of the target sensor at the first time based on the reference estimation data; and detecting abnormity of the target data based on the target data and the target estimation data. In this way, abnormity of the sensor data may be detected efficiently and accurately.

Abstract: A system for providing two parallel light beams spaced-apart a selectable distance, the system including: a first beam splitter configured for reflecting a light beam from a light source to create a first datum light beam, the first beam splitter is fixedly attached to a base; a second beam splitter configured for reflecting a transmitted light beam from the light beam from the light source to create a second datum light beam, a third beam splitter configured for reflecting a transmitted light beam from the light beam from the light source to create a third datum light beam, a fourth beam reflecting device configured for reflecting a transmitted light beam from the light beam from the light source to create a fourth light beam. Each of the second, third beam splitters and fourth beam reflecting device is configured to be slidingly attached to the base.

Abstract: A method, a device, and a computer program product for managing a mobile terminal are provided. In one method, a first position of the mobile terminal at a first time point and a first signal quality of a mobile network signal of the mobile network at the first position are detected, respectively; a signal quality distribution of the mobile network signal in a surrounding area of the first position is acquired; a prediction of a second signal quality of a mobile network signal to be received by the mobile terminal at a second time point is obtained according to the signal quality distribution, the second time point being a future time point after the first time point; and according to the first signal quality and the prediction of the second signal quality, a second service quality to be provided to the mobile terminal at the second time point is determined.

Abstract: A method for storage management comprises: obtaining, at a first storage service deployed at a first node, a first request of a first computing service deployed at the first node for first target data, the first storage service having access to a remote storage device and providing the first computing service with a same access interface as the remote storage device, the remote storage device storing a dataset reusable in a task to be performed at least partially by the first computing service, the dataset comprising the first target data; obtaining, based on the first request, the first target data from the remote storage device or a local storage space for the first storage service; and providing the first target data to the first computing service.

Abstract: A method comprises obtaining an intermediate representation of the machine learning model written in a source language. The intermediate representation is independent of the source language and a target language and comprises a structured text. The method also comprises generating a computation graph based on the intermediate representation. Nodes in the computation graph represent functions related to the machine learning model and a directed edge in the computation graph represents a dependency between functions. The method further comprises partitioning the computation graph into sequential parts in sequence such that the parts are executed sequentially, and functions corresponding to nodes in each part are executed in parallel.

Abstract: Embodiments of the present disclosure provide methods, devices, and computer program products for model adaptation. The method for model adaptation comprises: receiving, at a first computing device, a data set to be analyzed from a data collector and determining abnormality of the data set to be analyzed using a machine learning model deployed at the first computing device. The method further comprises transmitting, based on the determined abnormality of the data set, at least a portion of data in the data set to a second computing device, for update of the machine learning model, the second computing device having a higher computing capability than the first computing device. The method further comprises obtaining redeployment of the updated machine learning model from the second computing device.

Abstract: A block chain-based short message verification method that includes a client randomly generating a sequence number and encrypting the sequence number; the client sending a mobile phone number and the encrypted sequence number to a service end; the service end sending the mobile phone number and the encrypted sequence number to a short message operation end to store same in an intelligent contract of a block chain; the short message operation end randomly generating a verification code and sending the verification code to the client; the short message operation end encrypting the verification code and correspondingly storing a mobile phone number, the encrypted sequence number and the encrypted verification code into the intelligent contract of the block chain. Said method can prevent a server and a short message operator from impersonating a user for short message verification before the user performs verification, thereby improving the security of short message verification.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device and computer program product for storing and accessing data. The method comprises: in accordance with a determination that first data is stored in a first edge server of a plurality of edge servers, generating, at a second edge server of the plurality of edge servers, first metadata associated with the first data, and the first metadata at least comprises a first hash value of the first data and an indication that the first data is stored in the first edge server; and sending the first metadata to a management server of the plurality of edge servers, the management server being configured to maintain a metadata list associated with data stored in the plurality of edge servers. With this method, the problem that the stored data cannot be accessed due to the edge server being offline can be solved.

Abstract: Embodiments of the present disclosure relate to a method, device and computer program product for deploying a machine learning model. The method comprises: receiving an intermediate representation indicating processing of a machine learning model, learning parameters of the machine learning model, and a computing resource requirement for executing the machine learning model, the intermediate representation, the learning parameters, and the computing resource requirement being determined based on an original code of the machine learning model, the intermediate representation being irrelevant to a programming language of the original code; determining, at least based on the computing resource requirement, a computing node and a parameter storage node for executing the machine learning model; storing the learning parameters in the parameter storage node; and sending the intermediate representation to the computing node for executing the machine learning model with the stored learning parameters.

Abstract: A method includes: if it is determined that a currently available resource of a task processing system cannot satisfy a resource requirement of a to-be-executed current task set of a plurality of task sets, scheduling, for execution, one or more tasks in the current task set that can be supported by the currently available resource; creating, based on one or more tasks that have not been scheduled in the current task set, a to-be-scheduled task set for a next round of scheduling; determining, in a next task set of the plurality of task sets that follows the current task set, a subset of tasks that are independent of the one or more tasks in the to-be-scheduled task set, where the next task set is dependent at least in part on the current task set; and moving the subset from the next task set into the to-be-scheduled task set.

Abstract: A system for providing two spaced-apart parallel light beams wherein the space between the two spaced-apart parallel light beams is adjustable, the system including a first beam splitter configured for reflecting a light beam from a light source to create a first light beam; a second light reflecting device configured for reflecting a transmitted light beam from the light beam from the light source to create a second light beam; an optical flat including a first surface and second surface facing away from the first surface, the optical flat disposed in a manner with the first surface facing the first light beam and the second light beam, the first surface configured to reflect and transmit the first light beam and the second light beam; and a mirror.

Abstract: An electronic device includes a first part and a second part that can be folded or expanded relative to each other. The electronic device has a closed state and an open state When the electronic device is in the closed state, a frame of the first part and a frame of the second part partially or totally overlap. The first part includes a first feeding antenna. The second part includes a first parasitic antenna, and when the electronic device is in the closed state, the first parasitic antenna is not grounded and can be coupled to the first feeding antenna.

Abstract: A system for providing two spaced-apart parallel light beams wherein the space between the two spaced-apart parallel light beams is adjustable, the system including: a first beam splitter configured for reflecting a light beam from a light source to create a first light beam; a second beam splitter configured for reflecting a transmitted light beam from the light beam from the light source to create a second light beam; a third beam splitter configured for transmitting the first light beam and reflecting the first light beam to create a third light beam, the first beam splitter and the third beam splitter are disposed along a first central axis; a fourth beam splitter configured for transmitting the second light beam and reflecting the second light beam to create a fourth light beam.

Abstract: In a multi-cloud computing environment comprising a plurality of cloud platforms with each cloud platform comprising one or more nodes, a method maintains at a given one of the nodes in the multi-cloud computing environment a blockchain instance in accordance with a decentralized blockchain network comprised of at least a subset of the nodes in the multi-cloud computing environment wherein each of the subset of nodes locally maintain a blockchain instance. Further, the method maintains at the given one of the nodes a global state database which is locally synchronized with the locally maintained blockchain instance and stores identifying information about nodes in the multi-cloud computing environment, wherein the identifying information comprises information on how to find one or more of the nodes.

Abstract: A method comprises: in response to receiving a file identification of a first file in an application to be installed in a computing device, sending the file identification to a file server, wherein the first file belongs to a first file group of the application, and the first file group is a part of a file set of the application. The method further comprises: in response to receiving a first file group identification of the first file group from the file server, acquiring the first file group based on the first file group identification. The method further comprises: installing the application based on at least the first file group and a second file group of the application, wherein the second file group is another part of the file set of the application.

Abstract: Techniques for generating a network topology are provided. For example, a method comprises: sending, at an edge node of a network, first exploration data to a first node of the network. The method also comprises receiving from the first node first feedback information for the first exploration data. The first feedback information includes identity information of the first node and first associated node list information, and the first associated node list information includes identity information of nodes associated with the first node in the network. In addition, the method comprises: determining latency between the first node and the second node based on the first latency information and the second latency information. Then, the method further comprises updating the network topology based on the latency between the first node and the second node. Through the method, the present disclosure can provide accurate data support for path optimization.