Abstract: The disclosed embodiments disclose techniques for managing cloud-based storage using a time-series database. A distributed cloud data management system (DCDMS) manages objects stored in a cloud storage system. The DCDMS leverages a distributed time-series database to track objects accessed via the DCDMS. During operation, the DCDMS receives a request to access an object using a path identifier and an object identifier. The DCDMS determines from the path identifier that the request is associated with one of its supported extended capabilities, and uses the previously tracked object operations that are stored in the time-series database to determine the actual target bucket in the cloud storage system that contains the requested object; the target bucket that contains the object may be different from the bucket identified in the path identifier that is received. The object identifier is then used to access the requested object from the target bucket to service the request.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems, methods, and computer-executable instructions for identifying a document are described. A method includes receiving a query from a graphical user interface having one or more concepts, normalizing a set of terms or concepts in the query to create a normalized query, comparing the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, where each document centric concept includes a plurality of concepts and at least one reference value for each concept, where the reference value is calculated by tabulating the number of times a document associated with one of the document centric concept profiles is cited by a citing instance for the concept, and surfacing a document from the corpus with the highest reference value for the concept.

Abstract: A system and method for verbatim-text mining including parsing documents of a text corpus into a plurality of individual sentences, assigning a sentence identifier to one or more individual sentences of the plurality of individual sentences, generating a plurality of n-Gram strings comprising a plurality of n-Grams from words within the individual sentence, applying an inverted index to the n-Gram string, combining an index data structure of one n-Gram string with an index data structure of another n-Gram string forming a merged index data structure when the index data structure of one n-Gram string shares a predetermined percentage of sentence identifiers of the index data structure of another n-Gram string, assigning a group identifier to the merged index data structure of a one or more merged index data structures, and creating a data set comprising the sentence identifier, the group identifier and the associated n-Gram string.

Abstract: Systems, methods, and computer-executable instructions for identifying a document are described. A method includes receiving a query from a graphical user interface having one or more concepts, normalizing a set of terms or concepts in the query to create a normalized query, comparing the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, where each document centric concept includes a plurality of concepts and at least one reference value for each concept, where the reference value is calculated by tabulating the number of times a document associated with one of the document centric concept profiles is cited by a citing instance for the concept, and surfacing a document from the corpus with the highest reference value for the concept.

Abstract: Embodiments of the present disclosure are directed to systems, methods, and computer product programs to identify one or more seminal cases within a database containing legal case data. The disclosed systems and methods provide an approach to identify one or more seminal cases for particular legal issues by mining a text database containing electronic legal documents for the reasons for citing and mining the text within to determine whether the legal issue addressed in the reasons for citing is directed to a seminal case. The data is created through data mining and obtained from the plurality the reasons for citing identifying the seminal cases for a particular legal issue such that the output data corresponding to the seminal cases causes an external device to distinguish the seminal cases when one or more of the seminal cases are returned as the result of a search.

Abstract: Computer programs for searching a collection of electronic documents are disclosed. A computer program for searching a collection of electronic documents, includes instructions that cause the computer to carry out steps of: replacing a set of synonymous terms appearing in a paragraph with a set of standardized paragraph terms, where each standardized paragraph term has an associated term weight and generating standardized search terms in response to a search query, generating paragraph scores for paragraphs of a document based at least in part on the associated weights of standardized paragraph terms that match one or more of the standardized search terms. The computer program further includes determining overall document scores for the electronic documents based at least in part on a combination of the paragraph scores, and determining a set of matching documents, wherein the set of matching documents is ordered using the overall document scores.

Abstract: A system and method for verbatim-text mining including parsing documents of a text corpus into a plurality of individual sentences, assigning a sentence identifier to one or more individual sentences of the plurality of individual sentences, generating a plurality of n-Gram strings comprising a plurality of n-Grams from words within the individual sentence, applying an inverted index to the n-Gram string, combining an index data structure of one n-Gram string with an index data structure of another n-Gram string forming a merged index data structure when the index data structure of one n-Gram string shares a predetermined percentage of sentence identifiers of the index data structure of another n-Gram string, assigning a group identifier to the merged index data structure of a one or more merged index data structures, and creating a data set comprising the sentence identifier, the group identifier and the associated n-Gram string.

Abstract: A method of detecting cookware (3) on an induction hob (1) including a plurality of induction heating coils (2) each being adapted for heating, in the activated state, cookware (3) placed on the induction hob (1). With the method, detecting cookware (3) is based on signals generated by at least one active induction heating coil (4) through the action of parasitic electromagnetic coupling effects in at least one inactive induction heating coil (6).

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: A computerized method of searching a collection of electronic documents may include comparing search terms to sets of paragraph terms associated with paragraphs in the documents. Search terms and paragraph terms may be standardized, prior to the comparison. The method may also include generating paragraph scores for the paragraphs using term weight values associated with paragraph terms that match search terms, generating paragraph scores for the paragraphs, and using the paragraph scores to generate overall document scores. The method may also include using the overall document scores to determine a set of search results and providing the search results to a display.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: A method and apparatus for utilizing virtual machines to pool memory from disparate server systems that may have disparate types of memory is described. The method may include establishing communication between a pool virtual machine and two or more publisher virtual machines. The method may also include aggregating, by the pool virtual machine, portions of memory from each of two or more publisher servers to generate a pool of memory, and providing an application with access to the pool of memory, through the pool virtual machine.

Abstract: Disclosed are embodiments of an automatic multi-station integrated equipment for forming waste-paper-based-pulp packaging products, and related methods of operation. The equipment comprises at least one suction filter forming station integrated with one or more pair of high-temperature drying stations. The suction filter forming station includes a forming frame, pulp tank, forming plate apparatus, transfer plate apparatus, transfer air storage tank, horizontal transfer air cylinder, vertical transfer air cylinder, forming hydraulic cylinder, and forming apparatus main shaft. Each high-temperature drying station may include an upper press plate apparatus, lower press plate apparatus, high pressure air cylinder, lower horizontal air cylinder, air storage tank and upper horizontal air cylinder. Embodiments of the invention generally use one suction filtration forming station in conjunction with multiple high temperature drying stations to form a single production line.

Abstract: Systems and method for generating concepts from a document corpus are disclosed. In one embodiment, a method for generating concepts from a document includes retrieving, a plurality of terms stored within a first lexicon. The method further includes, for individual terms stored within the first lexicon: determining a first frequency of the term within the document corpus, and determining a second frequency of the term within a comparison document corpus including a plurality of comparison documents, wherein the comparison document corpus is different from the document corpus. The method further includes, for individual terms within the first lexicon: determining a difference between the first frequency and the second frequency, comparing the difference between the first frequency and the second frequency to a comparison metric, and, when the difference between the first frequency and the second frequency satisfies the comparison metric, storing the term as a concept within a second lexicon.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems, methods, and computer-executable instructions described herein generally relate to increasing user productivity in reviewing query results by surfacing a set of documents ranked by their relative value calculated as a tabulation of how often they are cited for a specific purpose. A database management system can access an index of metadata corresponding to a set of content items in a corpus/corpora of electronically stored content. A sub-system is configured to receive a query request entered by a user in said interactive GUI.

Abstract: Disclosed are embodiments of an automatic multi-station integrated equipment for forming waste-paper-based-pulp packaging products, and related methods of operation. The equipment comprises at least one suction filter forming station integrated with one or more pair of high-temperature drying stations. The suction filter forming station includes a forming frame, pulp tank, forming plate apparatus, transfer plate apparatus, transfer air storage tank, horizontal transfer air cylinder, vertical transfer air cylinder, forming hydraulic cylinder, and forming apparatus main shaft. Each high-temperature drying station may include an upper press plate apparatus, lower press plate apparatus, high pressure air cylinder, lower horizontal air cylinder, air storage tank and upper horizontal air cylinder. Embodiments of the invention generally use one suction filtration forming station in conjunction with multiple high temperature drying stations to form a single production line.

Abstract: The present disclosure provides for performing virus scans at a storage device that stores one or more virtual machine disk image files (VMDK files). A secure AV module can coordinate communication between a file system on the storage device, a file system (FS) decoder, and an anti-virus engine to perform a virus scan of files contained within a VMDK file. A secure AV module can determine a subset of files that include changed data, where the subset of files is stored in a file system volume within a VMDK file. The secure AV module can use an FS decoder to translate file addresses relative to the file system volume into file addresses relative to the network storage file system. A secure AV module can provide the network storage file system addresses of the subset of files to the anti-virus engine, which can perform a virus scan on the files.