Abstract: A storage system with privacy-centric multi-partitions and method for use therewith are provided. In one embodiment, a storage system comprises a memory configured to be partitioned into a plurality of partitions, wherein each partition is associated with its own boot block, and wherein each boot block is configured to boot any of the plurality of partitions. The storage system also comprises a controller configured to communicate with the memory and to: in response to a failure to boot one of the plurality of partitions with that partition's boot block, use a boot block of another one of the plurality of partitions to boot the one of the plurality of partitions; and restrict access to each of the plurality of partitions only to authenticated entities. Other embodiments are provided.

Abstract: The present invention provides, among other things, improved therapeutic compositions comprising a C3 fusion protein and methods of making and using the same. In particular, the present invention provides improved methods for the treatment of spinal cord injury and other CNS trauma and/or facilitate axon growth or other tissue repair.

Abstract: The present invention provides, among other things, improved therapeutic compositions comprising a C3 fusion protein and methods of making and using the same. In particular, the present invention provides improved methods for the treatment of spinal cord injury and other CNS trauma and/or facilitate axon growth or other tissue repair.

Abstract: This disclosure relates generally to systems and methods for masking and unmasking of sensitive data. The present systems and methods solve the problems of consistency of the data masking, by using a random index and a masked index with use of regular expression concept. An additional random key produce different masked data versions, however the original form of the sensitive data is achieved with any masked data version. Plurality of masked data versions are generated by masking the sensitive input dataset, where the plurality of masked data versions comprises same format of the sensitive input dataset. The generated masked data versions are secured and hard to predict the original form of the sensitive input dataset by authorized or unauthorized environments. Also, the present method consume less processing time, as the masking process and the unmasking process make operations on the indexes rather than with the original dataset.

Abstract: A storage system with privacy-centric multi-partitions and method for use therewith are provided. In one embodiment, a storage system comprises a memory configured to be partitioned into a plurality of partitions, wherein each partition is associated with its own boot block, and wherein each boot block is configured to boot any of the plurality of partitions. The storage system also comprises a controller configured to communicate with the memory and to: in response to a failure to boot one of the plurality of partitions with that partition's boot block, use a boot block of another one of the plurality of partitions to boot the one of the plurality of partitions; and restrict access to each of the plurality of partitions only to authenticated entities. Other embodiments are provided.

Abstract: The present invention provides, among other things, improved therapeutic compositions comprising a C3 fusion protein and methods of making and using the same. In particular, the present invention provides improved methods for the treatment of spinal cord injury and other CNS trauma and/or facilitate axon growth or other tissue repair.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically updating the connection pool for a web server without any interruption to the resource. In particular, in one or more embodiments, the disclosed systems can continuously monitor load data for various web servers. Further, the disclosed systems can utilize load data, historical load data, and/or user settings to predict a number of connections over a future time period and can determine an updated connection pool size for a web server based on that predicted number of connections. The disclosed systems can also dynamically modify the connection pool size for the web server based on the updated connection pool size without interrupting the resource or any of its ongoing connections in any way.

Abstract: This disclosure relates generally to systems and methods for masking and unmasking of sensitive data. The present systems and methods solve the problems of consistency of the data masking, by using a random index and a masked index with use of regular expression concept. An additional random key produce different masked data versions, however the original form of the sensitive data is achieved with any masked data version. Plurality of masked data versions are generated by masking the sensitive input dataset, where the plurality of masked data versions comprises same format of the sensitive input dataset. The generated masked data versions are secured and hard to predict the original form of the sensitive input dataset by authorized or unauthorized environments. Also, the present method consume less processing time, as the masking process and the unmasking process make operations on the indexes rather than with the original dataset.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically updating the connection pool for a web server without any interruption to the resource. In particular, in one or more embodiments, the disclosed systems can continuously monitor load data for various web servers. Further, the disclosed systems can utilize load data, historical load data, and/or user settings to predict a number of connections over a future time period and can determine an updated connection pool size for a web server based on that predicted number of connections. The disclosed systems can also dynamically modify the connection pool size for the web server based on the updated connection pool size without interrupting the resource or any of its ongoing connections in any way.

Abstract: System and method for cheque image data masking are disclosed. In an example, a cheque image and a data file are received, the data file includes data records with values corresponding to sensitive data fields in the cheque image. Further, a template cheque image matching to the cheque image and redacted information associated with the template cheque image are obtained. Furthermore, a blank image snippet is generated for each sensitive data field in the cheque image based on a part of the obtained information about sensitive fields. Moreover, values corresponding to each sensitive field from the input data file are written to the blank image snippet based on the remaining information about sensitive fields. Also, the template cheque image is updated with the image snippet. Data of non-sensitive fields in the cheque image is then copied to the template cheque image, thereby facilitating cheque image data masking.

Abstract: Systems and methods for masking content of different types are described. The system may implement the method comprising receiving a request to mask input content that includes sensitive and non-sensitive data. The method also comprises parsing the input content to create a content specific structure (CSS) to organize the input content in a structured format. The CSS includes a plurality of CSS nodes. The method analyses each CSS node against a pre-defined privacy policy and identifies sensitivity of the each CSS node. The method also creates a generalized masking structure (GMS) by creating a GMS node corresponding to each CSS node. Each GMS node contains sensitivity information related to corresponding CSS node. Data represented by GMS is masked based upon the sensitivity information stored in it.

Abstract: System and method for cheque image data masking are disclosed. In an example, a cheque image and a data file are received, the data file includes data records with values corresponding to sensitive data fields in the cheque image. Further, a template cheque image matching to the cheque image and redacted information associated with the template cheque image are obtained. Furthermore, a blank image snippet is generated for each sensitive data field in the cheque image based on a part of the obtained information about sensitive fields. Moreover, values corresponding to each sensitive field from the input data file are written to the blank image snippet based on the remaining information about sensitive fields. Also, the template cheque image is updated with the image snippet. Data of non-sensitive fields in the cheque image is then copied to the template cheque image, thereby facilitating cheque image data masking.

Abstract: Systems and methods for masking content of different types are described. The system may implement the method comprising receiving a request to mask input content that includes sensitive and non-sensitive data. The method also comprises parsing the input content to create a content specific structure (CSS) to organize the input content in a structured format. The CSS includes a plurality of CSS nodes. The method analyses each CSS node against a pre-defined privacy policy and identifies sensitivity of the each CSS node. The method also creates a generalized masking structure (GMS) by creating a GMS node corresponding to each CSS node. Each GMS node contains sensitivity information related to corresponding CSS node. Data represented by GMS is masked based upon the sensitivity information stored in it.

Abstract: An image processing system and method uses color information and texture information to compare a first image and a second image. The color information and texture information are derived independently, and then combined to obtain robust comparison and image retrieval results. For the color features of the images, color component differences are calculated and compared. For the texture features of the images, a multi-dimensional K-means clustering of a gradient vectors are calculated and compared.

Abstract: A system detects motion in video data. In an embodiment, a difference frame is created by comparing the pixels from a first frame and a second frame. The difference frame is divided up into blocks of pixels, and the system calculates standard deviations on a block basis. A threshold value is calculated based on the standard deviation, and the presence or absence of motion is determined based on that threshold value.

Abstract: A moving object is detected in a video data stream by extracting color information to estimate regions of motion in two or more sequential video frames, extracting edge information to estimate object shape of the moving object in two or more sequential video frames; and combining the color information and edge information to estimate motion of the object.