Abstract: In an aspect of the present disclosure, an IoT-based automated voltage controller system for motor-operated three-phase autotransformer is disclosed and a method thereof. The controller system includes a single-phase bidirectional synchronous motor mechanically connected with a shaft of the autotransformer. The motor changes tapping of windings of the autotransformer through dials. A switch mode power supply (SMPS) circuit is configured to supply power to the voltage controller unit, which primarily steps down the voltage to 5V and rectify thereto into DC voltage. An Arduino-nano microcontroller associated with a plurality of modules. The modules are configured such that the output voltage of the motor-operated three-phase autotransformer remains either constant or varies at +4V irrespective of nature of power supply automatically during full load conditions, thereby compensating supply voltage fluctuations.

Abstract: Techniques are described for generating index-friendly homomorphic key values for indexing semi-structured data documents in a collection when storing the collection in a relational database management system (DBMS). In an implementation, a request is received from a client application to store a semi-structured data document collection into a target table of the relational DBMS. Without ascertaining any schema information for a document in the collection, the techniques determine whether the document fails to include an identifier that uniquely identifies the document in the collection. Techniques further include generating a unique identifier that identifies the document in the collection, if no identifier exists, and materializing the identifiers of the collection into indexable primary key values for the target relational table.

Abstract: Various implementations disclosed herein include obtaining data indicative of a request to modify a configuration item (CI) of a database and one or more portions of a pattern applicable to a service based, at least in part, on the request. A command is identified based on the one or more portions and one or more values of the CI are modified using the command.

Abstract: A system and method of securing a Function as a Service (FaaS) cloud computing system without using access rights to operating system (OS) kernels of the cloud service system. The method includes receiving a request to invoke a user-function associated with a computing language. The method includes executing the user-function within an operating system that executes on a processing device of the cloud service system. The method includes monitoring, by the processing device, a real-time behavior of the user-function using a security sensor that executes within the operating system, wherein the security sensor is without access rights to a kernel of the operating system. The method includes acquiring behavioral data indicative of the real-time behavior of the user-function.

Abstract: Various implementations disclosed herein include obtaining data indicative of a request to modify a configuration item (CI) of a database and one or more portions of a pattern applicable to a service based, at least in part, on the request. A command is identified based on the one or more portions and one or more values of the CI are modified using the command.

Abstract: Various implementations disclosed herein include obtaining data indicative of a request to modify a configuration item (CI) of a database and one or more portions of a pattern applicable to a service based, at least in part, on the request. A command is identified based on the one or more portions and one or more values of the CI are modified using the command.

Abstract: A system and method of securing a Function as a Service (FaaS) cloud computing system without using access rights to operating system (OS) kernels of the cloud service system. The method includes receiving a request to invoke a user-function associated with a computing language. The method includes executing the user-function within an operating system that executes on a processing device of the cloud service system. The method includes monitoring, by the processing device, a real-time behavior of the user-function using a security sensor that executes within the operating system, wherein the security sensor is without access rights to a kernel of the operating system. The method includes acquiring behavioral data indicative of the real-time behavior of the user-function.

Abstract: Techniques described herein relate to using one or more machine learning models to identify values of variables to be used in application commands for execution. For example, the one or more machine learning models may identify one or more values of variables that are used to replace a different set of one or more values of variables in an application command before executing the command on a host.

Abstract: The present invention relates, in general terms, to TEAD targeting compounds and 5 methods thereof.

Abstract: Some embodiments are associated with a system and method for deep learning unsupervised remaining useful life (RUL) prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use multilevel discrete wavelet for raw data transformation and a bidirectional long short-term memory (BiLSTM) based autoencoder neural network for RUL prediction.

Abstract: The present disclosure relates to spinal cord regeneration therapy. The disclosure, in one aspect, provides for the administration to a subject with a spinal cord injury of an effective amount of at least the four herbal components polygalae (thin leaf milkwort), astragali (membranous milkvetch), Ligusticum chuanxiong and Angelica sinensis (Chinese angelica), their roots or rhizomes, or extracts thereof. The disclosure, in other aspects, provides in vitro and in vivo methods for determining the effectiveness of drugs, and drug combinations, and the effective amount thereof required for treating a spinal cord injury.

Abstract: Techniques are provided for moving data between partitions. Such a process may be performed without requiring any locks that block transactions that target a partition from being executed. Instead, such transactions may proceed while a move operation is being performed. The move operation involves copying data from the targeted partition to another partition that is hidden from (or “invisible” to) those transactions that attempt to read from or write to the partition. During the move operation, changes that are made to the partition are also reflected in a journal. Eventually, the changes reflected in the journal are drained and applied to the hidden partition. Once the partition and the hidden partition are synchronized, the identities of the partitions are swapped so that future transactions will target the previously-hidden partition instead of the previously-viewable partition.

Abstract: A system and method of securing a Function as a Service (FaaS) cloud computing system without using access rights to operating system (OS) kernels of the cloud service system. The method includes receiving a request to invoke a user-function associated with a computing language. The method includes executing the user-function within an operating system that executes on a processing device of the cloud service system. The method includes monitoring, by the processing device, a real-time behavior of the user-function using a security sensor that executes within the operating system, wherein the security sensor is without access rights to a kernel of the operating system. The method includes acquiring behavioral data indicative of the real-time behavior of the user-function.

Abstract: Some embodiments are associated with a system and method for deep learning unsupervised remaining useful life (RUL) prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use multilevel discrete wavelet for raw data transformation and a bidirectional long short-term memory (BiLSTM) based autoencoder neural network for RUL prediction .

Abstract: An approach for implementing function semantic based partition-wise SQL execution and partition pruning in a data processing system is provided. The system receives a query directed to a range-partitioned table and determines if operation key(s) of the query include function(s) over the table partitioning key(s). If so, the system obtains a set of values corresponding to each partition by evaluating the function(s) on a low bound and/or a high bound table partitioning key value corresponding to the partition. The system may then compare the sets of values corresponding to different partitions and determine whether to aggregate results obtained by executing the query over the partitions based on the comparison. The system may also determine whether to prune any partitions from processing based on a set of correlations between the set of values for each partition and predicate(s) of the query including function(s) over the table partitioning key(s).

Abstract: The present invention relates to a method of enhancing heat transfer of metallic surfaces by (1) fabricating hierarchical micro-nanostructured surfaces using etching processes, and (2) fabricating hydrophobic and hydrophilic regions, using a printing or a coating technique, followed by etching. The said method enhances the density of condensation sites over a metallic surface and additionally facilitates the departure of condensed droplets from the surface. Such a surface also enhances the sensible heat transfer characteristics, and improves the coefficient of performance (COP) of refrigeration systems for applications like atmospheric water generators, dehumidifiers, air conditioners, etc.

Abstract: What is disclosed is an improved approach to perform automatic partitioning, without requiring any expertise on the part of the user. A three stage processing pipeline is provided to generate candidate partition schemes, to evaluate the candidate using real table structures that are empty, and to then implement a selected scheme with production data for evaluation. In addition, an improved approach is described to perform automatic interval partitioning, where the inventive concept implements interval partitioning that does not impose these implicit constraints on the partition key column.

Abstract: Techniques for processing “destructive” database statements are provided. Destructive database statements, when processed, cause metadata of a database object to be changed. Examples of such database statements include ones that delete an index, that set a column as unused, and that drop a constraint on a column. When such a statement is received, a change is made to metadata of a database object. Such a metadata change may involve setting an index as unusable, disabling a constraint, or invalidating a cursor. After the metadata change, a first time is determined. Then, it is determined when one or more database transactions that were pending at the first time have committed. After those database transaction(s) have committed, one or more operations are performed, such as dropping an index or dropping a constraint.

Abstract: Techniques are provided for moving data between partitions. Such a process may be performed without requiring any locks that block transactions that target a partition from being executed. Instead, such transactions may proceed while a move operation is being performed. The move operation involves copying data from the targeted partition to another partition that is hidden from (or “invisible” to) those transactions that attempt to read from or write to the partition. During the move operation, changes that are made to the partition are also reflected in a journal. Eventually, the changes reflected in the journal are drained and applied to the hidden partition. Once the partition and the hidden partition are synchronized, the identities of the partitions are swapped so that future transactions will target the previously-hidden partition instead of the previously-viewable partition.