Abstract: Disclosed is a method, a computer program product, and a computer system for remapping database sessions by first identifying a change in the cardinality of a database instances. A plurality of co-located database sessions may be assigned to a database instance of the database based at least in part upon the change in the cardinality of the database instances. Multiple database instances of a plurality of database instances in the database that respectively have one or more co-located database sessions of the plurality of co-located database sessions may be identified based at least in part upon a co-location data structure. At least one co-located database sessions of at least one database instance of the multiple database instances may be terminated.

Abstract: Disclosed is a method, a computer program product, and a computer system for remapping database sessions by first identifying a change in the cardinality of a database instances. A plurality of co-located database sessions may be assigned to a database instance of the database based at least in part upon the change in the cardinality of the database instances. Multiple database instances of a plurality of database instances in the database that respectively have one or more co-located database sessions of the plurality of co-located database sessions may be identified based at least in part upon a co-location data structure. At least one co-located database sessions of at least one database instance of the multiple database instances may be terminated.

Abstract: A system for automatically assigning identification codes to batteries connected in series by using a single address line and upgrading boot image for the connected batteries. A first battery receives a first identification code from one incoming address line and saves the first identification code. A second identification code is generated by the first battery and the first battery sends the second identification code to a second battery through a second address line. The upgrade boot image is segmented and multi-casted to the connected batteries.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

Abstract: The invention relates to a computer implemented method of formulating a database query for searching for a data pattern in a data set stored in a database, the method comprising the following steps: receiving, from a user terminal, a series of graphical data points defining a target pattern to be searched; formulating a data structure for training a machine learning model using the series of graphical data points; training a machine learning model using the data structure; applying the trained machine learning model to the data set stored in the database to identify one or more candidate patterns, the candidate patterns comprising intervals of the data set which correspond to the target pattern within a predefined confidence level. Since the input is a series of graphical data points defining the target pattern, a specific pattern of interest may be entered much more efficiently and intuitively.

Abstract: A power delivery device includes at least one solar panel, a battery pack comprising at least one battery, and a heater, wherein the device is configured to measure the temperature of the battery pack and power the heater to heat the battery pack if it is too cold for optimal charging.

Abstract: A power delivery device includes at least one solar panel, a battery pack comprising at least one battery, and a heater, wherein the device is configured to measure the temperature of the battery pack and power the heater to heat the battery pack if it is too cold for optimal charging.

Abstract: A system and method is shown for identifying abnormal client behavior with respect to communications between one or more servers and one or more client devices communicatively coupled to the one or more servers. Messages are received at a server from one or more client devices communicatively coupled to the server. The plurality of messages are grouped into subsets of messages using a learn module of the server. Each subset of messages is associated with a unique client identifier, and all messages within a subset are associated with the same unique client identifier. Each message within a subset of messages is identified as belonging to a defined type of message. Sequences of the defined types of messages within each of said subsets of messages are recorded using the learn module. Time intervals between the defined types of messages are measured using the learn module.

Abstract: A power delivery device is disclosed, comprising at least one solar panel, a battery pack comprising at least one battery, and a heater, wherein the device is configured to measure the temperature of the battery pack and power the heater to heat the battery pack if it is too cold for optimal charging.

Abstract: Embodiment provide that each pluggable database (PDB) in a container database is associated with a distinct distributed lock manager (DLM) domain. Thus, in order to access a PDB, a database server instance joins the DLM domain for the PDB. To perform actions on the PDB, the instance secures locks that belong to the DLM domain for the particular PDB. As such, buffers storing data for the PDB may be managed separately from buffers storing data for other PDBs using the PDB-specific DLM domains. An instance forcefully closing a particular PDB marks the DLM domain of the PDB as invalid, which allows detection of the forceful closure by a recovery instance. Detection of an invalid DLM domain by an instance causes the instance to automatically recover the PDB by accessing pertinent ranges of redo logs and replaying changes made to data blocks for the PDB indicated in the logs.

Abstract: Embodiment provide that each pluggable database (PDB) in a container database is associated with a distinct distributed lock manager (DLM) domain. Thus, in order to access a PDB, a database server instance joins the DLM domain for the PDB. To perform actions on the PDB, the instance secures locks that belong to the DLM domain for the particular PDB. As such, buffers storing data for the PDB may be managed separately from buffers storing data for other PDBs using the PDB-specific DLM domains. An instance forcefully closing a particular PDB marks the DLM domain of the PDB as invalid, which allows detection of the forceful closure by a recovery instance. Detection of an invalid DLM domain by an instance causes the instance to automatically recover the PDB by accessing pertinent ranges of redo logs and replaying changes made to data blocks for the PDB indicated in the logs.

Abstract: A power delivery device is disclosed, comprising at least one solar panel, a battery pack comprising at least one battery, and a heater, wherein the device is configured to measure the temperature of the battery pack and power the heater to heat the battery pack if it is too cold for optimal charging.

Abstract: A system and method is shown for identifying abnormal client behavior with respect to communications between one or more servers and one or more client devices communicatively coupled to the one or more servers. Messages are received at a server from one or more client devices communicatively coupled to the server. The plurality of messages are grouped into subsets of messages using a learn module of the server. Each subset of messages is associated with a unique client identifier, and all messages within a subset are associated with the same unique client identifier. Each message within a subset of messages is identified as belonging to a defined type of message. Sequences of the defined types of messages within each of said subsets of messages are recorded using the learn module. Time intervals between the defined types of messages are measured using the learn module.

Abstract: Techniques for adaptive trace logging include, in one embodiment, obtaining input data on trace logging behavior and computing resources used by trace logging. Based on the obtained input data, an adaptive trace logging module automatically takes action at runtime to reduce the amount of computing resources consumed by tracing logging. For example, the action taken may include decreasing a trace logging level of an executing software program to reduce the number of trace logging messages added to a trace log. In another embodiment, the techniques include detecting a condition of an executing software program that warrants a change to a trace logging level of the executing program. The adaptive trace logging module automatically changes the trace logging level of the executing program as-needed for the detected condition. For example, the adaptive trace logging module may increase the trace logging level of an executing program upon detecting a deadlock or other abnormal condition of the executing program.

Abstract: A method for locking resources, including: receiving, by an accelerator, a first request from a first client to lock a first resource; evaluating, by a computer processor of a server, a hash function using an identifier of the first resource as an input to the hash function; identifying, by the computer processor and based on evaluating the hash function, a first hash bucket in a shared memory residing in a physical memory of the server; detecting that the first hash bucket is occupied; and sending the first request to a master lock monitor residing in a user space of the server based at least on detecting that the first hash bucket is occupied.

Abstract: Described herein are techniques for dynamically monitoring and managing resource usages of processes running on a node in a multi-node database system. High resource usages of processes can be proactively detected and alleviated, thereby making such a node to perform significantly better than otherwise.

Abstract: Systems, methods, and other embodiments associated with avoiding resource blockages and hang states are described. One example computer-implemented method for a computing system includes determining that a first process is waiting for a resource and is in a blocked state. The resource that the first process is waiting for is identified. A blocking process that is holding the resource is then identified. A priority of the blocking process is compared with a priority the first process. If the priority of the blocking process is lower than the priority of the first process, the priority of the blocking process is increased. In this manner the blocking process can be scheduled for execution sooner and thus release the resource.