Abstract: The disclosed approach works without the individualized credentials of failed machines when setting up recovery VMs in a cloud computing environment. Each recovery VMs is customized to properly correspond to the system state of its failed counterpart. An illustrative data storage management system recovers backup data and system states collected from the counterpart computing devices, custom-configures recovery VMs in the cloud computing environment, and injects the desired drivers into each recovery VM during an enhanced bare-metal restore process. The enhanced bare-metal restore process works without the failed computer's credentials. The system also restores the backed up data to recovery volumes attached to the recovery VMs. The present approach is both scalable and secure.

Abstract: A machine learning method includes estimating a degree of improvement of an evaluation metric related to a machine learning model, the improvement being to be obtained on a condition that the machine learning model is configured to be trained based on combination of training data in a training data set, selecting a pair of training data from the training data set based on the estimated degree, generating other training data based on the selected pair of training data, and training the machine learning model based on the other training data and the training data set, using a processor.

Abstract: A system includes one or more components within an internal cabin of a vehicle. An imaging device is configured to obtain an image of the one or more components. A state determination control unit includes a processor. The state determination control unit is in communication with the imaging device. The state determination control unit receives image data including the image from the imaging device. Further, the state determination control unit determines a state of the one or more components based on the image data.

Abstract: An information processing apparatus includes one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to decide a gain matrix based on an input metric, perform selection of first training data from a plurality of unlabeled training data, to be used for training a machine learning model, based on the gain matrix, and perform training of the machine learning model based on the first training data, a predicted label that is predicted from the first training data, and a loss function including the gain matrix.

Abstract: A system includes one or more components within an internal cabin of a vehicle. An imaging device is configured to obtain an image of the one or more components. A state determination control unit includes a processor. The state determination control unit is in communication with the imaging device. The state determination control unit receives image data including the image from the imaging device. Further, the state determination control unit determines a state of the one or more components based on the image data.

Abstract: State of the art image processing techniques such as background subtraction, and Convolutional Neural Network based approaches, when used for change detection, fail to support certain datasets. The disclosure herein generally relates to semantic change detection, and, more particularly, to a method and system for semantic change detection using a deep neural network feature correlation approach. An adaptive correlation layer is used by the system, which determines extent of computation required at pixel level, based on amount of information at pixels, and uses this information in further computation done for the semantic change detection. Information on the determined extent of computation required is then used to extract semantic features, which is then used to compute one or more correlation maps between the at least one feature map of a test image and corresponding reference image. Further the semantic changes are determined from the one or more correlation maps.

Abstract: State of the art image processing techniques such as background subtraction, and Convolutional Neural Network based approaches, when used for change detection, fail to support certain datasets. The disclosure herein generally relates to semantic change detection, and, more particularly, to a method and system for semantic change detection using a deep neural network feature correlation approach. An adaptive correlation layer is used by the system, which determines extent of computation required at pixel level, based on amount of information at pixels, and uses this information in further computation done for the semantic change detection. Information on the determined extent of computation required is then used to extract semantic features, which is then used to compute one or more correlation maps between the at least one feature map of a test image and corresponding reference image. Further the semantic changes are determined from the one or more correlation maps.

Abstract: Disclosed aspects relate to access operation management to a database management system (DBMS) on a shared pool of configurable computing resources having a set of members. A map of the set of table names to the set of members may be established. A query may be received which indicates the access operation request to the DBMS. The query may be parsed to identify a mentioned table name. In the query related to the access operation request to the DBMS, the mentioned table name may be identified. A specific member of the set of members may be selected by comparing the mentioned table name with the map. The specific member of the set of members may be configured to process the access operation request to the DBMS. The routing may be performed in order to process the access operation request to the DBMS.

Abstract: A method and apparatus are provided in which a source and target perform bidirectional forwarding of traffic while a migration guest is being transferred from the source to the target. In some examples, the migration guest is exposed to the impending migration and takes an action in response. A virtual network programming controller informs other devices in the network of the change, such that those devices may communicate directly with the migration guest on the target host. According to some examples, an “other” virtual network device in communication with the controller and the target host facilitates the seamless migration. In such examples, the forwarding may be performed only until the other virtual machine receives an incoming packet from the target host, and then the other virtual machine resumes communication with the migration guest on the target host.

Abstract: A cache affinity and processor utilization technique efficiently load balances work in a storage input/output (I/O) stack among a plurality of processors and associated processor cores of a node. The storage I/O stack employs one or more non-blocking messaging kernel (MK) threads that execute non-blocking message handlers (i.e., non-blocking services). The technique load balances work between the processor cores sharing a last level cache (LLC) (i.e., intra-LLC processor load balancing), and load balances work between the processors having separate LLCs (i.e., inter-LLC processor load balancing). The technique may allocate a predetermined number of logical processors for use by an MK scheduler to schedule the non-blocking services within the storage I/O stack, as well as allocate a remaining number of logical processors for use by blocking services, e.g., scheduled by an operating system kernel scheduler.

Abstract: A method and apparatus are provided in which a source and target perform bidirectional forwarding of traffic while a migration guest is being transferred from the source to the target. In some examples, the migration guest is exposed to the impending migration and takes an action in response. A virtual network programming controller informs other devices in the network of the change, such that those devices may communicate directly with the migration guest on the target host. According to some examples, an “other” virtual network device in communication with the controller and the target host facilitates the seamless migration. In such examples, the forwarding may be performed only until the other virtual machine receives an incoming packet from the target host, and then the other virtual machine resumes communication with the migration guest on the target host.

Abstract: A method and apparatus are provided in which a source and target perform bidirectional forwarding of traffic while a migration guest is being transferred from the source to the target. In some examples, the migration guest is exposed to the impending migration and takes an action in response. A virtual network programming controller informs other devices in the network of the change, such that those devices may communicate directly with the migration guest on the target host. According to some examples, an “other” virtual network device in communication with the controller and the target host facilitates the seamless migration. In such examples, the forwarding may be performed only until the other virtual machine receives an incoming packet from the target host, and then the other virtual machine resumes communication with the migration guest on the target host.

Abstract: Disclosed aspects relate to access operation management to a database management system (DBMS) on a shared pool of configurable computing resources having a set of members. A map of the set of table names to the set of members may be established. A query may be received which indicates the access operation request to the DBMS. The query may be parsed to identify a mentioned table name. In the query related to the access operation request to the DBMS, the mentioned table name may be identified. A specific member of the set of members may be selected by comparing the mentioned table name with the map. The specific member of the set of members may be configured to process the access operation request to the DBMS. The routing may be performed in order to process the access operation request to the DBMS.

Abstract: A cache affinity and processor utilization technique efficiently load balances work in a storage input/output (I/O) stack among a plurality of processors and associated processor cores of a node. The storage I/O stack employs one or more non-blocking messaging kernel (MK) threads that execute non-blocking message handlers (i.e., non-blocking services). The technique load balances work between the processor cores sharing a last level cache (LLC) (i.e., intra-LLC processor load balancing), and load balances work between the processors having separate LLCs (i.e., inter-LLC processor load balancing). The technique may allocate a predetermined number of logical processors for use by an MK scheduler to schedule the non-blocking services within the storage I/O stack, as well as allocate a remaining number of logical processors for use by blocking services, e.g., scheduled by an operating system kernel scheduler.

Abstract: A cache affinity and processor utilization technique efficiently load balances work in a storage input/output (I/O) stack among a plurality of processors and associated processor cores of a node. The storage I/O stack employs one or more non-blocking messaging kernel (MK) threads that execute non-blocking message handlers (i.e., non-blocking services). The technique load balances work between the processor cores sharing a last level cache (LLC) (i.e., intra-LLC processor load balancing), and load balances work between the processors having separate LLCs (i.e., inter-LLC processor load balancing). The technique may allocate a predetermined number of logical processors for use by an MK scheduler to schedule the non-blocking services within the storage I/O stack, as well as allocate a remaining number of logical processors for use by blocking services, e.g., scheduled by an operating system kernel scheduler.

Abstract: A method of fulfilling a transaction between a bank and a customer of the bank makes available a form used in a banking transaction to a customer digital device. The form has a plurality of fields. The method scans, within a physical bank branch, an encoded visual display on the client digital device. The encoded visual display has an encoded version of the form and some but not all of the plurality of fields completed with client data. The method further decodes the encoded visual display using a decoding algorithm to produce the form and completed and uncompleted fields. At least one datum may be added, within the physical bank branch, to at least one uncompleted field of the form, and the banking transaction may be processed based on the form with the at least one client datum within the at least one field of the form.

Abstract: A cache affinity and processor utilization technique efficiently load balances work in a storage input/output (I/O) stack among a plurality of processors and associated processor cores of a node. The storage I/O stack employs one or more non-blocking messaging kernel (MK) threads that execute non-blocking message handlers (i.e., non-blocking services). The technique load balances work between the processor cores sharing a last level cache (LLC) (i.e., intra-LLC processor load balancing), and load balances work between the processors having separate LLCs (i.e., inter-LLC processor load balancing). The technique may allocate a predetermined number of logical processors for use by an MK scheduler to schedule the non-blocking services within the storage I/O stack, as well as allocate a remaining number of logical processors for use by blocking services, e.g., scheduled by an operating system kernel scheduler.

Abstract: A method of fulfilling a transaction between a bank and a customer of the bank makes available a form used in a banking transaction to a customer digital device. The form has a plurality of fields. The method scans, within a physical bank branch, an encoded visual display on the client digital device. The encoded visual display has an encoded version of the form and some but not all of the plurality of fields completed with client data. The method further decodes the encoded visual display using a decoding algorithm to produce the form and completed and uncompleted fields. At least one datum may be added, within the physical bank branch, to at least one uncompleted field of the form, and the banking transaction may be processed based on the form with the at least one client datum within the at least one field of the form.

Abstract: A method and apparatus for incentivizing a person to make a targeted purchase receives online data related to a person's online interaction with a company, and responsively processes the online data to determine behavior data. After determining that the person is within a physical store related to the company, the method and apparatus track the person's movement within the physical store and determine an incentive for making a purchase of a product or service within the store. The incentive is determined as a function of at least the person's position within the physical store and the behavior data. The method and apparatus then forwards an incentive message, having indicia relating to the incentive, to the person when the person is in the store.

Abstract: A method and apparatus are provided in which a source and target perform bidirectional forwarding of traffic while a migration guest is being transferred from the source to the target. In some examples, the migration guest is exposed to the impending migration and takes an action in response. A virtual network programming controller informs other devices in the network of the change, such that those devices may communicate directly with the migration guest on the target host. According to some examples, an “other” virtual network device in communication with the controller and the target host facilitates the seamless migration. In such examples, the forwarding may be performed only until the other virtual machine receives an incoming packet from the target host, and then the other virtual machine resumes communication with the migration guest on the target host.