Abstract: An enterprise management system and an execution method thereof are provided. The enterprise management system includes a storage device, storing multiple modules, and a processor, coupled to the storage device and used to execute the modules. The processor obtains user operation behavior data and executes a data collection module according to the user operation behavior data to obtain user organization information, a user operation behavior record, and a user operation time record. The data collection module generates inference data according to the user organization information, the user operation behavior record, and the user operation time record. The processor executes a model inference module, and inputs the inference data to a task inference model in the model inference module, so that the task inference model generates inference result data.

Abstract: A system and method provides for the use of a proprietary platform to predict impressions and to predict and design ad campaigns. Specifically, a proprietary programmatic advertisement platform correlates television programming asset sources with actual viewing behavior of broadcasts associated with the television programming assets and ad content associated with the ad campaign. The correlation produces a predicted performance value used to generate an ad campaign. For instance, the invention enables television programming asset sources and viewership information providers to communicate with the programmatic advertisement platform in a way that adds value to or otherwise facilitates the valuation of the television programming asset sources in context of the particular ad.

Abstract: A method for monitoring a storage system, the method may include (a) generating a compute entity (CE) storage metric by each CE of a group of CEs to provide multiple CE storage metrics, wherein the multiple CE metrics are related to a monitoring period; and (b) calculating, during a calculation period, a group metric based on the multiple CE storage metrices; wherein the calculating includes performing multiple calculations iterations, wherein each calculation iteration includes (a) selecting an updating CE that belongs to the group of CEs and was not previously selected during the calculation period, (b) accessing, by the updating CE, a shared data structure that stores the group storage metric, and (c) updating the group storage metric using the CE storage metric of the updating CE.

Abstract: An object is to accurately detect abnormality of a living body.

Abstract: A method for managing tasks in a storage system, the method may include: (a) obtaining, by a scheduler, a shared budget for background storage tasks and foreground storage tasks; (b) obtaining, by the scheduler, a background budget for background storage tasks; wherein the background budget is a fraction of the shared budget; (c) allocating, by the scheduler, resources to pending storage tasks according to the shared budget and the background budget; wherein the allocating comprises (i) allocating the shared budget while prioritizing foreground storage tasks over background storage tasks; and (ii) allocating the background budget to background storage tasks; and (d) participating, by the scheduler, in executing of storage tasks according to the allocation.

Abstract: Systems, methods, and non-transitory computer readable media with instructions for methods here may be used to create and render interactive charts using large amounts of data, by efficiently dividing up the storage and processing of the data between a networked side and a local application side. In certain example embodiments, these two sides work in conjunction with one another, alternatively or additionally, in certain example embodiments, they may act independently and/or alone. The resulting charts may then be used by being embedded in external web pages.

Abstract: A method for resource allocation in a storage system, the method may include determining to reduce a load imposed on a compute core of the storage system, wherein the compute core is responsible for executing (a) one or more background task shards, and (b) at least one non-sharded task for responding to an input/output (I/O) request sent to the storage system; and reducing the load imposed on the compute core by reallocating at least one background task shard of the one or more background task shards to another compute core of the storage system.

Abstract: An objective of the present disclosure is to easily and precisely correct a distance error caused by multipath phenomenon in a distance measuring apparatus using TOF method. A distance measuring apparatus according to the present disclosure identifies an equation of plane that approximates a plane in a space where a target object exists, compares the equation of plane with a measured distance of the place, thereby calculating a correcting value for correcting a measured distance.

Abstract: Techniques are disclosed to detect, isolate, and/or mitigate an attack on a file system, for example, by malicious software, human actors, and/or compromised Internet-connected devices (bots). A processor of a data processing system detects an abnormal file system access pattern to a file system by applying statistical process control to network layer packets. Based on detecting the abnormal file system access pattern, the processor temporarily suspends file system access by at least one user ID contributing to the abnormal file system access pattern. The processor provides a notification identifying one or more file system object accessed in the abnormal file system access pattern.

Abstract: A method for supporting files names in a storage system, the method may include receiving a first protocol request for creating an object having a requested object name that comprises one or more sets of slashes, wherein the first protocol does not use the one or more sets as hierarchy separators; wherein each set of slashes comprises one or more consecutive slashes; determining a role of each set of the one or more sets in a second protocol that uses slashes as hierarchy separators; and generating a path name for accessing the object, when using either one of the first and second protocols, wherein the generating is based on the requested object name and the role of each set.

Abstract: A computer-implemented method, computer program product and computing system for identifying one or more portions of a website structure of a specific website; and associating the one or more portions of the website structure with one or more descriptors of the specific website to define a specific data description model corresponding to the specific website.

Abstract: An unmanned aerial vehicle-based data collection and distribution system includes a source of animal data that can be transmitted electronically. The source of animal data includes at least one sensor. The animal data is collected from at least one target individual. The system also includes an unmanned aerial vehicle that receives the animal data from the source of animal data as a first set of received animal data and a home station that receives the first set of received animal data. Characteristically, the unmanned aerial vehicle includes a transceiver operable to receive signals from the source of animal data and to send control signals to the source of animal data.

Abstract: A method for protecting a disaster recovery site, the method may include receiving by source compute nodes of a storage system, during source storage periods, write requests for storing content in the storage system; writing by source compute nodes, during the source storage periods, the content into the storage nodes of the storage system; maintaining replication compute nodes of the storage system deactivated during the source storage periods; reading the content by the replication compute nodes from the storage nodes during replication periods; participating, by the replication compute nodes, in outputting the content to one or more data recovery sites during the replication periods; and maintaining the source compute nodes deactivated during the source storage periods.

Abstract: A system and a method for collecting and using market data. The system includes a workstation, where at least one message is entered, a transmitter, where the at least one message is transmitted, a parser for parsing the at least one message, a data recognizer for identifying relevant information in the at least one message, a processor for extracting the relevant information and a communicator for communicating the relevant information.

Abstract: Method and system which provides an increase in the basic security, performance, and trust of consensus algorithms in distributed systems based on the use of quantum technology (quantum computing mechanisms). In order to do that, it is built a quantum trust network layer using quantum entanglement between nodes to avoid the current problems in consensus algorithms.

Abstract: A system for enterprise data analysis and forecasting is disclosed, including at least one user computing device in operable connection with a network. An application server is in operable communication with the user network to host an application program for providing a system for enterprise data analysis and enterprise data forecasting. The application program includes a user interface module for providing access to the application program through the user computing device. A machine learning engine receives a plurality of data points stored in one or more databases each in operable communication with the application program. The machine learning engine processes the data points and transmits the data points to a report module, configured to generate one or more reports. The reports permit a user to analyze and forecast enterprise data.

Abstract: A derivation graph including nodes representing quads identified within a data expression in a simplified query language is queried using deferred join processing. A derivation graph is generated based on a first data expression that includes a join between a second data expression and a third data expression, in which the derivation graph includes at least one node representative of the second data expression and at least one node representative of the third data expression. A root node is identified within the derivation graph by determining that the nodes representative of the second data expression and the third data expression are derivable from the root node using the derivation graph. Query language instructions representing the join between the second data expression and the third data expression written in a second query language are then generated using the root node.

Abstract: A method that includes instructing multiple compute entities, by an expansion manager and during a first phase of the stored entity metadata re-balancing, to: lookup any stored entity metadata by using: (a) a current translation function for linking identifiers of stored entities to stored entities metadata; wherein the current translation function is based on a size of a current storage space allocated to stored entities metadata; and (b) a next translation function for linking identifiers of stored entities to stored entities metadata; wherein the next translation function is based on a size of a next storage space allocated to stored entities metadata; wherein the current space is expanded during the expansion of the storage system to provide the next storage space, and to update any stored entity metadata accessed using the current translation function without updating stored entity metadata accessed using the next translation function.

Abstract: The method for transmitting power wirelessly according to an embodiment may comprise checking a position of a receiving device while wirelessly transmitting power to the receiving device, and changing a charging stop level which is compared with power loss which corresponds to a difference between transmitted power transmitted to the receiving device and received power received by the receiving device when the receiving device is outside a charging area. The receiving device is outside the charging area may be determined based on that the received power is equal to or greater than reference power and a power control level when transmitting the power to the receiving device is equal to or greater than a reference value. The charging stop level may be returned to an original value when the power loss is lower than the changed charging stop level until a predetermined time elapses after changing the charging stop level.

Abstract: A method for lock metadata re-balancing upon an expansion of a storage system, the method may include instructing multiple compute entities, by an expansion manager and during a first phase of the lock metadata re-balancing, to acquire locks by using: (a) a current translation function for linking addresses of current lock metadata units (LMUs) to identifiers of stored entities; wherein the current translation function is based on a size of a current storage space allocated to the lock metadata; and (b) a next translation function for linking addresses of new LMUs to identifiers of stored entities; wherein the new translation function is based on a size of a new storage space allocated to the lock metadata; wherein the current space is expanded during the expansion of the storage system to provide the next storage space.