37th week of 2022 patent applcation highlights part 51 |
Patent application number | Title | Published |
20220292224 | VERIFICATION INFORMATION GENERATING SYSTEM, VERIFICATION INFORMATION GENERATING METHOD, AND VERIFICATION INFORMATION GENERATING PROGRAM - A verification information creation apparatus acquires an installation directory of software from equipment on which the software is installed, and acquires a file path and a hash value of a file whose hash value is acquirable based on types of files stored in the acquired directory. Then, the verification information creation apparatus creates verification information about the software, where the verification information includes the acquired file path and the hash value of the file. | 2022-09-15 |
20220292225 | VERIFICATION DEVICE, VERIFICATION SYSTEM, VERIFICATION METHOD, AND VERIFICATION PROGRAM - A storage unit stores a size of a free area of storage of target equipment, and software saved in the storage. The generation unit generates a graph including a number of nodes according to the size of the free area of the storage, and transmits the graph to the target equipment. The calculation unit calculates a hash value corresponding to each software block saved in the storage. The verification unit verifies the presence or absence of tampering of the storage of the target equipment using the hash value corresponding to the block calculated, a response calculated using the graph returned to a challenge that specifies a node of the graph, and a hash value corresponding to the block returned as the response to the challenge that specifies the block. | 2022-09-15 |
20220292226 | Peripheral Device Comportability with Security Circuitry - An IC chip can provide silicon root of trust (RoT) functionality. In described implementations, the IC chip includes a processor, an interconnect, and multiple peripheral devices. These comportable circuit components are designed to facilitate interoperability and consistent, expected communications for security circuitry. Each peripheral device includes an interface that adheres to a common framework for interacting with the processor and with other peripheral devices. The interface includes an interconnect interface coupling the peripheral device to the interconnect and an inter-device interface coupling the peripheral device to at least one other peripheral device. The peripheral device is realized based on a peripheral device design code that indicates inter-device signaling in accordance with an inter-device scheme of an interface specification. Manufacturers fabricate the peripheral device, based on the design code, to be physically and logically coupled to another peripheral device in a predictable manner This fosters more-robust and reliable security circuitry. | 2022-09-15 |
20220292227 | STORAGE DEVICE - According to one embodiment, a storage device includes a SoC, a disk, and an e-fuse. The SoC is an integrated circuit configured on one chip on which a CPU is mounted. The disk is controlled through the SoC. The e-fuse is provided on a clock signal line mounted in the SoC and is disconnected by an external input to the CPU. | 2022-09-15 |
20220292228 | Alert Handling - An IC chip can provide silicon root of trust (RoT) functionality. In described implementations, the IC chip includes a processor, an alert handler, and multiple peripheral devices, which generate alert indications. The alert handler processes the alert indications, which have security implications. The alert handler includes multiple alert receiver modules to communicate with the multiple peripheral devices. The alert handler also includes a controller, multiple accumulation units, multiple escalation timers, and multiple escalation sender modules. These components can be organized into a hierarchy of increasing escalation severity. In operation, the controller classifies an alert and flexibly implements an adaptable alert handler path that is established through the escalation components responsive to the classification and based on a source of the alert. A path can conclude with an escalation sender module commanding an escalation handler to implement a security countermeasure. The flexible paths can therefore handle different types of alerts. | 2022-09-15 |
20220292229 | MATERIAL DESIGN APPARATUS, MATERIAL DESIGN METHOD, AND MATERIAL DESIGN PROGRAM - A material design apparatus is provided that can derive an optimal solution of a design condition of a polymer that satisfies desired and required physical properties. A material design apparatus | 2022-09-15 |
20220292230 | METHODS AND APPARATUS FOR ARTIFICIAL INTELLIGENCE CONVERISON OF A TWO-DIMENSIONAL REFERENCE INTO AN ACTIONABLE INTERFACE - Methods and apparatus for processing two dimensional references using artificial intelligence to generate requirements of a construction project. A two-dimensional reference, such as an architectural floor plan is provided as input to a controller operative to be an artificial intelligence engine (AI engine). The AI engine generates a user interactive interface and quantities of items, such as net floor space of a room or a region, which may be used to manage construction projects. | 2022-09-15 |
20220292231 | Systems and Methods for Utilizing a 3D CAD Point-Cloud to Automatically Create a Fluid Model - A multiple fluid model tool for utilizing a 3D CAD point-cloud to automatically create a fluid model is presented. Fr example, a system includes a modeling component, a machine learning component, and a three-dimensional design component. The modeling component generates a three-dimensional model of a mechanical device based on point cloud data indicative of information for a set of data values associated with a three-dimensional coordinate system. The machine learning component predicts one or more characteristics of the mechanical device based on input data and a machine learning process associated with the three-dimensional model. The three-dimensional design component that provides a three-dimensional design environment associated with the three-dimensional model. The three-dimensional design environment renders physics modeling data of the mechanical device based on the input data and the one or more characteristics of the mechanical device on the three-dimensional model. | 2022-09-15 |
20220292232 | Method and Apparatus for the State Estimation of an Electrical Grid - Various embodiments of the teachings herein include a method for ascertaining a state of an electrical grid. The state of the electrical grid is represented by ascertained voltages and ascertained phase angles at one or more grid nodes of the electrical grid. The method may include calculating the state using a computing unit, wherein the computing unit employs an iterative, numerical method on the basis of a plurality of measured values associated with the electrical grid. The numeral method begins with an initial value. The initial value includes an initial state ascertained from the measured values by an artificial neural network. | 2022-09-15 |
20220292233 | METHOD AND SYSTEM FOR OPTIMIZING THE SHAPE OF AN OBJECT TO FACILITATE WRINKLE AND STRESS REDUCTION - A method performed by a computing system that facilitates formation of an object comprises receiving manufacturing process data associated with an object to be formed via a drape-forming operation. The computing system receives a parametric model of the object. The parametric model facilitates specification of a radius of a fillet within a region associated with the object. The computing system determines, based on the parametric model of the object, a unit vector field associated with a surface of the object and the manufacturing process data. The computing system adjusts the radius of the fillet of the parametric model within the region to reduce an average divergence of the vector field to a minimum amount, and communicates output data associated with an adjusted parametric model to equipment configured to form a mandrel that facilitates formation of the object. | 2022-09-15 |
20220292234 | SIMULATION APPARATUS, RECORDING MEDIUM, AND SIMULATION METHOD - In the present invention, the behavior of devices and the accessory devices of the devices is simulated. This apparatus comprises a first behavior calculation unit that calculates the behavior of a first object in a virtual space corresponding to a first device to which an accessory device is attached and a second behavior calculation unit that calculates the behavior of a second object in a virtual space corresponding to a second device. The second device includes an accessory device. At each predetermined time step, the first behavior calculation unit calculates, in the time step, the behavior of the first object corresponding to the first device to which the accessory device is attached, and then the second behavior calculation unit calculates the behavior of the accessory device attached to the first device on the basis of the calculated behavior of the first object. | 2022-09-15 |
20220292235 | ARITHMETIC APPARATUS, ARITHMETIC METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - An arithmetic apparatus includes a control unit that changes a first weighting coefficient assigned to a constraint term included in Hamiltonian so that the first weighting coefficient changes differently from a second weighting coefficient assigned to an objective term included in the Hamiltonian in process of reducing quantum fluctuations to obtain a ground state of the Hamiltonian used for solving a combinatorial optimization problem. | 2022-09-15 |
20220292236 | FLEXIBLE METHODS FOR GENERATION OF GNSS NAVIGATION DATA - The disclosed technology teaches simulating new satellite messages for a GNSS simulation, providing a configuration file and programming script file, neither of which is pre-compiled into GNSS simulation code, that specify format for a message for a satellite and message format combination not yet operational or not yet compiled into the GNSS simulation code. Included is reading and applying the configuration file and running a script from the programming script file to generate navigation data for simulating positioning messages during the GNSS simulation and using the navigation data for simulating positioning signals during the GNSS simulation and testing of a GNSS receiver against the satellite and message format combination. The disclosed technology also teaches determining message format and values to use when simulating position signals by combining field format and field data values from a combination of the configuration files, almanac, ephemeris and related data, and the programming script files. | 2022-09-15 |
20220292237 | FUNCTION SAFETY AND FAULT MANAGEMENT MODELING AT ELECTRICAL SYSTEM LEVEL (ESL) - Electronic system level (ESL) design and verification of the present disclosure is utilized to provide an electronic simulation and modeling of function safety and fault management of an electronic device. A method for simulating a safety circuit includes providing an electronic architectural design to perform one or more functional behaviors of the electronic device in accordance with an electronic design specification. The method further includes modeling the safety circuit of the electronic architectural design and one or more other electronic circuits of the electronic architectural design that communicate with the safety circuit. The method further includes simulating, using the modeling, operation of the safety circuit while the electronic architectural design is performing the one or more functional behaviors. The method also includes determining whether the simulated operation of the safety circuit satisfies the electronic design specification. | 2022-09-15 |
20220292238 | DESIGN METHOD FOR PARAMETERS OF CROSS SECTIONS OF SINGLE-HOLE FOUR-LANE HIGHWAY TUNNEL - A method for determining parameters of cross sections of a single-hole four-lane highway tunnel includes the steps of determining surrounding rock pressure, constructing numerical models under different flatness ratios, calculating interval force of lining structures, calculating safety coefficients of the lining structures, performing contrastive analysis on the cross sections under different flatness ratios, obtaining reasonable cross section forms, and so on. This method provides a basis to formulate the specifications and standards for design of a single-hole four-lane highway tunnel and may provide a reference basis to design a cross section of a single-hole four-lane highway tunnel in new construction or reconstruction and expansion, thereby ensuring safety and economic efficiency of the cross section forms of the single-hole four-lane highway tunnel. | 2022-09-15 |
20220292239 | SMART TIME SERIES AND MACHINE LEARNING END-TO-END (E2E) MODEL DEVELOPMENT ENHANCEMENT AND ANALYTIC SOFTWARE - A process implemented as software for building, developing, and enhancing a model for use in forecasting, having a first user input step, wherein a user to input data using a user interface on a user device and providing the user input data to an application program interface (API); the API performs an auto data validation step, a feature creation step comprising using domain knowledge to extract features from raw training data; a feature encoding step comprising using the created features and raw training data to train different candidate models; a model selection step wherein the user is prompted to select a best model from the number of trained candidate models based on user defined model rankings; a best model review step comprising producing detailed information on the best model through statistical diagnostics, sensitivity, back-test and performance analysis; and generating implementation code for the best model; processing a set of data to be analyzed using the best model, forecasting an outcome based on processing the set of data to be analyzed with the best model, and providing the forecast to a user by a user interface on a user device. | 2022-09-15 |
20220292240 | ARTIFICIAL INTELLIGENCE DETERMINATION OF BUILDING METRICS FOR CODE COMPLIANCE - Artificial Intelligence systems receive two dimensional design plans (e.g., physical, or electronic documents) that are processed to mimic the perception, learning, problem-solving, and decision-making formerly performed by human workers assessing the design plans for compliance with an applicable code. AI analysis converts vector images into patterns that are conducive to machine learning and generates a dynamic interface that allows a user to interact with the AI findings. The AI assesses whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes enforcing fire safety and the Americans with Disabilities Act. | 2022-09-15 |
20220292241 | METHOD AND SYSTEM FOR DESIGNING A ROBOTIC SYSTEM ARCHITECTURE WITH OPTIMIZED SYSTEM LATENCY - Systems and methods for designing a robotic system architecture are disclosed. The methods include generating a model that defines one or more requirements for a robotic device for a mapping between a software graph and a hardware graph. The model is used for allocating a plurality of computational tasks in a computational path included in the software graph to a plurality of hardware components of the robotic device to yield a robotic system architecture. The methods also include using the robotic system architecture to configure the robotic device to be capable of performing functions corresponding to the software graph, where the robotic system architecture is optimized to meet one or more latency requirements. | 2022-09-15 |
20220292242 | METHODS FOR AUTOMATED HARDWARE SYSTEM SYNTHESIS - Described is a method comprising a processing, an establishing, and/or a determining. In the processing, an inputted capabilities list including one or more hardware design capabilities may be processed. In the establishing, one or more candidate components for the one or more hardware design capabilities may be established. In the determining, a set of unique candidate netlists capable of satisfying the one or more hardware design capabilities may be determined, the set of unique candidate netlists being based upon the set of candidate components. | 2022-09-15 |
20220292243 | BATCHED QUANTUM CIRCUITS SIMULATION ON A GRAPHICS PROCESSING UNIT - Systems, computer-implemented methods, and computer program products to facilitate batched quantum circuits simulation on a graphics processing unit are provided. According to an embodiment, a system can comprise a first processor that executes computer executable components stored in memory. The computer executable components can comprise a generalization component that generates a first defined matrix representation of a qubit gate and that employs a control mask to generate a second defined matrix representation of a multi-qubit gate. The computer executable components can further comprise an execution component that executes a kernel overhead operation using the first defined matrix representation and the second defined matrix representation to generate a batched kernel. | 2022-09-15 |
20220292244 | VARIABLE WIDTH NANO-SHEET FIELD-EFFECT TRANSISTOR CELL STRUCTURE - One aspect of this description relates to a method for operating an integrated circuit (IC) manufacturing system. The method includes placing a first nano-sheet structure within a IC layout diagram. The first nano-sheet structure has a first width. The method includes abutting a second nano-sheet structure with the first nano-sheet structure. The second nano-sheet structure has a second width. The second width is less than the first width. The method includes generating and storing the IC layout diagram in a storage device. | 2022-09-15 |
20220292245 | METHOD OF MANUFACTURING A SEMICONDUCTOR DEVICE - A method of manufacturing a semiconductor device is disclosed. The method includes generating a first virtual layout by placing and routing standard cells using a virtual netlist, searching first duplicate pattern regions in the first virtual layout and choosing one of them as a first representative pattern region, performing an OPC operation on the first representative pattern region to obtain a first OPC result, generating an actual layout by placing and routing standard cells using an actual netlist, performing an OPC operation on the actual layout, and forming a photoresist pattern on a substrate using a photomask manufactured based on the actual layout, to which the OPC operation is applied. | 2022-09-15 |
20220292246 | OSCILLATOR LAYOUT - An oscillator layout includes: a first row layout region constituted by sequentially arranging a second B layout region, second A layout region, third B layout region and third A layout region in parallel; and a second row layout region constituted by sequentially arranging a first A layout region, first B layout region, fourth A layout region and fourth B layout region in parallel. Inputs and outputs of the first A layout region, second A layout region, third A layout region and fourth A layout region constitute a first ring topology, inputs and outputs of the first B layout region and third B layout region constitute a second ring topology, inputs and outputs of the second B layout region and fourth B layout region constitute a third ring topology, the second ring topology and third ring topology are both electrically connected to the first ring topology. | 2022-09-15 |
20220292247 | METHOD OF FABRICATING SEMICONDUCTOR DEVICE INCLUDING STANDARD-CELL-ADAPTED POWER GRID ARRANGEMENT - A method (of fabricating a power grid (PG) arrangement in a semiconductor) includes: forming a first layer including conductive lines (C_1st lines)which include interspersed alpha C_1st lines and beta C_1st lines designated correspondingly for first and second reference voltages; and forming a second layer over the first layer, the second layer including segments (C_2nd segments) which include interspersed alpha C_2nd segments and beta C_2nd segments designated correspondingly for the first and second reference voltages; and, relative to the first direction, each beta C_2nd segment being substantially asymmetrically between corresponding adjacent ones of the alpha C_2nd segments. | 2022-09-15 |
20220292248 | METHOD, SYSTEM AND VERIFYING PLATFORM FOR SYSTEM ON CHIP VERIFICATION - A method for system-on-chip (SoC) verification is disclosed. The method includes: establishing a component library including at least an interface protocol component, a bus protocol component and a verification component for the SoC; creating a control file according to a verification requirement; establishing a software library for each processor of the SoC to run according to the verification requirement, and establishing an excitation library for corresponding components in the component library; establishing a script library including multiple script files based on the verification requirement and the control file; parsing, by the script, the control file of the verification platform to obtain control parameters of the verification platform when a verification scenario is determined; selecting a required component from the component library and selecting a required excitation from the excitation library to generate the verification platform according to the control parameters; and verifying the SoC by the verification platform. | 2022-09-15 |
20220292249 | EFFICIENT SCHEDULING OF TASKS FOR RESOLUTION ENHANCEMENT TECHNIQUE OPERATIONS - A system and method for scheduling optical proximity correction (OPC) or other resolution enhancement technique (RET) operations on a layout design is disclosed. A layout design is divided into a plurality of regions, such as a plurality of tiles. OPC is performed on the plurality of tiles in order to generate a modified layout design. Performing OPC on the plurality of tiles may be time consuming. In order to more efficiently distribute the processing of OPC, estimates of OPC processing times for the plurality of tiles is performed. The estimate of the OPC processing time for a respective tile may be based on one or both of analysis of: analysis of the respective tile; or analysis of tile(s) that neighbor the respective tile. Based on the estimates, tiles that have a longer estimated processing fore tiles that have a shorter estimated processing time, thereby potentially resulting in more efficient OPC processing. | 2022-09-15 |
20220292250 | DATA NORMALIZATION AND IRREGULARITY DETECTION SYSTEM - A computer-implemented method is provided to provide analysis of claim information. The system may receive claim data from a plurality of entities and, for one or more claim items in the received claim data, determine a format of the claim item. The system may convert the claim item from the determined format into a standard format. The system may receive a selection of one or more providers, and determine one or more claim items associated with the provider in the selection. The system may generate a user interface, the user interface comprising a visual representation of one or more attributes of the one or more claim items. | 2022-09-15 |
20220292251 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - Results of character recognition processing for a scanned image of a document and a setting item set to a property attached to the scanned image of a document are obtained. Displaying on a screen having a preview area where the scanned image of a document is displayed and an editing area where information input in the setting item is edited, that is, displaying the scanned image of a document in the preview area and displaying the setting item and the information in the editing area are controlled. A selection for the setting item displayed in the editing area is detected. A verification rule set to the detected setting item is obtained. A character recognition area satisfying the verification rule is extracted from the results of the character recognition processing. A character recognition area displayed on the preview area and extracted is highlighted. | 2022-09-15 |
20220292252 | MESSAGE INPUT AND DISPLAY METHOD AND APPARATUS, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM - Disclosed are a message input and display method, apparatus, electronic device, and readable storage medium. The message input method may comprise: displaying a session interface corresponding to a communication session; in a normal input mode, displaying a communication message in a first sub-area of a content display area of the session interface, and displaying a message input interface in a second sub-area; and in a full-screen input mode, displaying the message input interface in the content display area. | 2022-09-15 |
20220292253 | AUTOMATED STRUCTURED DATA OBJECT CREATION AND LOCATION INTEGRATION INTO MULTIPLE LOCATION APPLICATIONS - A system and a method for automatically creating structured data objects for location-based information rendered in one or more languages in an electronic document to automatically integrate one or more locations into location applications, for example, map applications, are provided. The system identifies and transforms location-based objects associated with a location(s) of a business entity in one or more languages in the electronic document into geocoded data. The system automatically creates structured data objects for the geocoded data based on configurable criteria. The system generates a dynamic index-oriented map object (DIOMO) for the structured data objects specific to the location(s) of the business entity and connects the structured data objects to the DIOMO by creating linked data nodes from the structured data objects with the DIOMO as a core. The system automatically integrates the location(s) of the business entity into location applications using the DIOMO with the linked data nodes. | 2022-09-15 |
20220292254 | SYSTEMS AND METHODS FOR PROCESSING AND DISPLAYING MESSAGES IN DIGITAL COMMUNICATIONS - Systems and methods include receiving, with a processor, two or more messages from a first user device participating in a communication session, processing, with the processor, the two or more messages, generating, with the processor, a processed message, and displaying, with the processor, the processed message on a second user device participating in the communication session. | 2022-09-15 |
20220292255 | Method and System For Processing Electronic Documents - Methods and systems provide a rapid data transfer process, as data from a shipping document, which is rendered as a copyable electronic document, is easily transferred to a receiving electronic document, such as an Enterprise Resource Planning (ERP) form. The data is transferred, for example, as text, e.g., a complete line item of text, photograph or other graphic, or combinations thereof. | 2022-09-15 |
20220292256 | SYSTEMS AND METHODS FOR AUTOMATICALLY SERIALIZING AND DESERIALIZING MODELS - A system serializing and deserializing models configured to (i) store a first model, wherein the first model includes a plurality of functionalities; (ii) generate a human-readable document based on the first model, wherein the human-readable document describes the first model; (iii) generate a second model based on the human-readable document, wherein the second model includes the plurality of functionalities; and (iv) perform at least one execution of the second model. | 2022-09-15 |
20220292257 | CHARACTER INPUT DEVICE, CHARACTER INPUT METHOD, AND COMPUTER-READABLE STORAGE MEDIUM STORING A CHARACTER INPUT PROGRAM - An extraction unit extracts candidates including predictive candidates, as candidates corresponding to an input character string. A control vocabulary storage unit stores a control vocabulary to be learned with teaching material. A determination unit determines whether a usage mode is a first mode or a second mode. An output control unit outputs the candidates in an arrangement order according to priority. When the usage mode is the first mode, the output control unit excludes, from the candidates to be output, any words in the control vocabulary extracted as predictive candidates. Also, when the usage mode is the second mode, the output control unit increases the priority of any words in the control vocabulary extracted by the extraction unit as predictive candidates, among the candidates to be output. | 2022-09-15 |
20220292258 | DOCUMENT ENTITY EXTRACTION USING DOCUMENT REGION DETECTION - In some embodiments, techniques for document entity extraction are provided. For example, a process may involve processing document images to detect a plurality of regions of interest that includes text objects and non-text objects; for each of the plurality of regions of interest, producing a corresponding text string; and processing the text strings to identify entities. Processing the document images may involve applying a text object detection model to the document images to detect the text objects; and applying at least one non-text object detection model to the document images to detect the non-text objects. Prior to processing the document images, at least two object detection models among the text object detection model and the at least one non-text object detection model were generated by fine-tuning respective instances of a pre-trained object detection model. | 2022-09-15 |
20220292259 | ARTIFICIALLY INTELLIGENT ORDER PROCESSING SYSTEM - An improved speech-based/natural language point-of-sale customer order system which is useful for any business that interacts with customers through speech or sound. Despite the advances in speech recognition, currently available voice ordering interfaces have proven to be unintuitive and lack reliability. Voice recognition has so far proven to be inefficient in retail contexts, and therefore voice recognition has so far achieved a low level of usage penetration in the retail sector. The present invention facilitates the automated operation of the ordering function of a drive-through restaurant, fast food restaurant or other business establishment by replacing an employee or other means of capturing order data with an ordering system employing a highly accurate speech recognition component that is able to be trained to recognize a wide vocabulary of words, and associate tones and other metadata in a manner not previously achieved in speech-to-text systems. | 2022-09-15 |
20220292260 | AUTOMATIC GENERATION OF STATEMENT-RESPONSE SETS FROM CONVERSATIONAL TEXT USING NATURAL LANGUAGE PROCESSING - Systems and methods that access an online networked resource using a locator are disclosed. A first item of content on the networked resource is identified. A trigger rule comprising keywords and a sentiment classifier is accessed. A neural network, including input, hidden, and output layers, is used to assign a sentiment classification to the first item of content. The trigger rule, the sentiment classification, and identified keywords, are used to determine whether response content is to be posted to the online networked resource. In response to determining, using the trigger rule, the assigned sentiment classification, and keywords identified in the first item of content, that response content is to be posted to the online networked resource, the sentiment classification and identified keywords are used to select and/or generate a second item of content, and the second item of content is enabled to be posted to the online networked resource. | 2022-09-15 |
20220292261 | Methods for Emotion Classification in Text - The technology relates to methods for detecting and classifying emotions in textual communication, and using this information to suggest graphical indicia such as emoji, stickers or GIFs to a user. Two main types of models are fully supervised models and few-shot models. In addition to fully supervised and few-shot models, other types of models focusing on the back-end (server) side or client (on-device) side may also be employed. Server-side models are larger-scale models that can enable higher degrees of accuracy, such as for use cases where models can be hosted on cloud servers where computational and storage resources are relatively abundant. On-device models are smaller-scale models, which enable use on resource-constrained devices such as mobile phones, smart watches or other wearables (e.g., head mounted displays), in-home devices, embedded devices, etc. | 2022-09-15 |
20220292262 | SYSTEM AND METHOD FOR HYBRID QUESTION ANSWERING OVER KNOWLEDGE GRAPH - Aspects of the subject disclosure may include, for example, identifying an entity of a natural language question, locating a node of a knowledge graph corresponding to the entity, and generating a candidate answer set including a group of other entities located a predetermined proximity to the node. Contextual information for the group of other entities is determined from the knowledge graph, and the natural language question and contextual information are separately encoded to obtain separate encoded vectorial representations of the natural language question and members of the candidate answer set. The encoding uses pre-trained language model embeddings obtained via a bidirectional encoder representations from transformer encoding process. The encoded vectorial representations of the question under an influence of aspects of the contextual information are scored and a member of the candidate answer set selected according to the score to obtain an answer to the original question. Other embodiments are disclosed. | 2022-09-15 |
20220292263 | ROBUST NAME MATCHING WITH REGULARIZED EMBEDDINGS - Systems and methods for natural language processing are described. One or more embodiments of the disclosure provide an entity matching apparatus trained using machine learning techniques to determine whether a query name corresponds to a candidate name based on a similarity score. In some examples, the query name and the candidate name are encoded using a character encoder to produce a regularized input sequence and a regularized candidate sequence, respectively. The regularized input sequence and the regularized candidate sequence are formed from a regularized character set having fewer characters than a natural language character set. | 2022-09-15 |
20220292264 | DATA-DRIVEN SOCIAL MEDIA ANALYTICS APPLICATION SYNTHESIS - In some examples, data-driven social media analytics application synthesis may include generating, for each social media analytics application of a plurality of social media analytics applications, a corpus, performing term normalization, and generating a normalized corpus. An actor, an action and an object may be generated for each social media analytics application, which may be mapped into an embedding space. A semantic cohesion network may be generated for each social media analytics application, and a pair-wise semantic cohesion may be determined to identify semantically cohesive groups. A new social media analytics application may be synthesized based on the identified semantically cohesive groups. | 2022-09-15 |
20220292265 | METHOD FOR DETERMINING TEXT SIMILARITY, STORAGE MEDIUM AND ELECTRONIC DEVICE - A method for determining text similarity, a storage medium and an electronic device. The method includes: obtaining a first coding sequence corresponding to the first text and a second coding sequence corresponding to the second text; obtaining a first fusion feature corresponding to the first coding sequence and a second fusion feature corresponding to the second coding sequence based on the first coding sequence and the second coding sequence; converting the first fusion feature and the second fusion feature into a corresponding first semantic feature and a second semantic feature for representing semantics, and determining a text similarity between the first text and the second text based on the first semantic feature and the second semantic feature. | 2022-09-15 |
20220292266 | System and Method for Resource Efficient Natural Language Processing - System and method for performing natural language processing are disclosed. An encoder includes a multi-head attention block for nonlinear transformation of inputs and a feed-forward network for learning parameters that result in best function approximation. Output of the multi-head attention block and the feed-forward network are coupled in parallel to produce a summed output. An ODE solver performs continuous depth integration of the summed output for reduced number of parameters. | 2022-09-15 |
20220292267 | MACHINE LEARNING METHOD AND INFORMATION PROCESSING APPARATUS - A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes acquiring training data that includes a first sentence expressed in a first language and a second sentence expressed in a second language, identifying a named entity and parts of speech from the first sentence, and generating, based on the training data, a translation model that includes an attention mechanism for the named entity and the parts of speech. | 2022-09-15 |
20220292268 | SMART CONTRACT GENERATION SYSTEM AND METHODS - A system for generating smart contracts may include a first subsystem to receive a written or verbal contract, and a second subsystem to identify terms of the contract using natural language processing (NLP). The system may additionally include a third subsystem to correlate processed NLP terms of the contract with chaincode in a library, and a fourth subsystem to combine correlated NLP terms to generate a smart contract. Methods of generating a smart contract may include inputting natural language contract terms into a smart contract generation system and identifying the natural language contract terms with a natural language processing system. The method may further include correlating at least some of the contract terms to chaincodes stored in a library, generating chaincodes for any contract terms that do not correlate to any chaincodes stored in the library, and assembling the chaincodes into a smart contract. | 2022-09-15 |
20220292269 | METHOD AND APPARATUS FOR ACQUIRING PRE-TRAINED MODEL - The present disclosure discloses a method and apparatus for acquiring a pre-trained model, and relates to natural language processing and deep learning technologies in the field of artificial intelligence technologies. An implementation includes: acquiring training data, the training data including a single-modal language material and a multi-modal language material, and the multi-modal language material including a language material pair formed by a first-modal language material and a second-modal language material; and performing a multi-task training operation on a pre-trained model using the training data, the multi-task including at least one cross-modal contrastive learning task and at least one single-modal learning task; the pre-trained language model obtained in the present disclosure may learn from different forms of language materials, i.e., the single-modal language material and the multi-modal language material, such that the pre-trained language model may effectively process information in various modals. | 2022-09-15 |
20220292270 | METHOD FOR VERIFYING THE HABILITATION OF A TERMINAL TO CHECK AN IDENTITY ATTRIBUTE OF A USER - A method for interrogating an electronic identity card by a terminal with a claim covering an identity attribute of the holder of this card. The terminal obtains an identity token of the CNIe then selects in a HD wallet an issuer account associated to the identity attribute covered by the claim. Afterwards, it forms a transaction including as arguments the identity token and the path in the arborescence of the wallet leading to the issuer account, this transaction then being transmitted to a blockchain. Afterwards, it is verified by consensus that the terminal is habilitated to issue a claim covering an identity attribute, and that the issuing address of the transaction corresponds to the identity attribute on which the terminal is habilitated to issue a claim. | 2022-09-15 |
20220292271 | NEAR-FIELD COMMUNICATION SURFACE AND METHOD FOR LOCATING ON SAID SURFACE - The invention relates to a near-field communication surface intended to communicate with at least one electronic tag. The surface comprises a plurality of antennas, each antenna having a position along an axis, a circuit for reading electronic tags that is connected to said antennas in order to supply them with power and communicate with said electronic tag, and a processing unit controlling the antennas and the circuit for reading electronic tags. The processing unit is configured to activate just one antenna at a time and the reading circuit in order to communicate with said at least one electronic tag, and to locate a position of the electronic tag along the axis according to a number of responses or to a response time from the electronic tag. The invention also relates to the locating method. | 2022-09-15 |
20220292272 | A METHOD AND A SYSTEM FOR STORING INFORMATION ITEMS - Disclosed herein is a system ( | 2022-09-15 |
20220292273 | ARTICLE HANDLING SYSTEM AND METHOD - There is provided an article handling system, method and computer program product for uniquely identifying an article. The system comprises a mobile device having scanning means that obtains a first article identifier and a second article identifier from one or more article tags associated with an article. A mobile application on the mobile device generates a message comprising a first message line including the first article identifier and a second message line including the second article identifier, and sends the message to a destination location. In this way, the article may be subsequently identified at the destination location using either or both of the first article identifier or the second article identifier. | 2022-09-15 |
20220292274 | ELECTRONIC SHELF LABEL COMMUNICATION SYSTEM, METHOD AND APPARATUS - The present invention provides an electronic shelf label communication system, method and apparatus. The system comprises: a processor configured to send update data to a wireless access point corresponding to an electronic shelf label group where an electronic shelf label requiring data update is located; the wireless access point configured to send a group wakeup message to the electronic shelf label requiring data update, and send, after the electronic shelf label requiring data update wakes up according to each of countdown durations for receiving the update data, the unsent update data packages corresponding to the electronic shelf label to electronic shelf labels requiring data update in a same electronic shelf label group simultaneously, until all of the update data packages corresponding to the electronic shelf label are sent; and the electronic shelf label configured to wake up periodically, receive the group wakeup message and obtain the plurality of countdown durations for receiving the update data, and wake up again according to each of the countdown durations for receiving the update data, and receive the unreceived update data packages once, until all of the update data packages are received. The present invention has high efficiency and low power consumption. | 2022-09-15 |
20220292275 | REGISTRATION AND CHECK-IN MANAGEMENT FOR A COMPLIANCE AND PREVENTION SYSTEM - According to one or more embodiments, a computer program product is provided. The computer program product includes processor executable code for an integration tracking engine. The processor executable code is stored on a non-transitory computer readable medium. The processor executable code is executed by at least one processor to cause the integration tracking engine to detect and scan a bar or quick response (QR) code corresponding to a user profile, load an order for the user profile; generate and present at least one user interface instructing a collecting of a sample within a vial of a test kit and scanning of a bar or QR code of the vial once filled with the sample, and associate the vial with the order, the user profile, and the vial. | 2022-09-15 |
20220292276 | SCANNER FOR MULTI-DIMENSIONAL CODE AND LABELS - A method performed at an electronic device with one or more processors and memory storing one or more programs includes receiving a plurality of images of a machine readable code. A respective image of the plurality of images corresponds to a distinct wavelength. The method also includes analyzing the respective image of the plurality of images to obtain a respective processed information; combining the respective processed information to obtain combined information; and providing the combined information to at least one program of the one or more programs stored in the memory for processing. | 2022-09-15 |
20220292277 | METHOD OF STORING AND RETRIEVING DIGITAL PATHOLOGY ANALYSIS RESULTS - The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data. | 2022-09-15 |
20220292278 | MODEL-BASED IMAGE CHANGE QUANTIFICATION - A system is provided for identifying and quantizing a change in a scene having objects based on comparison of features representing a target object derived from a first image and a second image that includes the target object. The system segments, based on a scene model of the scene, a second image that includes the target object to identify a second area representing the target object within the second image. The system extracts, from the second image, second features for the target object based on the second area. The system determines determine a second effectiveness of the second features indicating effectiveness of the second features in representing the target object. The system detects a change based on a difference between first features and the second features factoring in a first effectiveness and the second effectiveness. | 2022-09-15 |
20220292279 | METHOD AND SYSTEM OF DEEP FACE RECOGNITION FOR FISHEYE IMAGE - A method and a system of deep face recognition for a fisheye image are provided. The method includes determining a category corresponding to an input image, performing an image rectification according to the category corresponding to the input image to generate a restored image, and performing a face recognition on the restored image to determine an identity corresponding to the input image. The category correlates to a radial distance corresponding to the input image. | 2022-09-15 |
20220292280 | EVALUATING MOVEMENTS OF A PERSON - A method, a system, and a non-transitory computer readable medium for evaluating first movements of a first person in view of movements of a second person. The method may include determining the relationships between the first frames and the second frames by a sequence alignment algorithm, the determining of the relationships is based on the inter-frame similarity scores and the multiple state-related scores; and determining at least one evaluation score of the movements of the first person, based on the relationships and the multiple inter-frame similarity scores; wherein the at least one evaluation score is indicative of a similarity between the movements of the first person and the movements of the second person. | 2022-09-15 |
20220292281 | Loitering and Vagrancy Computer Vision Ai - A method for detecting a loitering event within an area of interest includes: capturing the human body entering into the area of interest; tracking the status of the human body; determining that the human body fails to be detected; obtaining the corresponding image data for the floor area based on the current time; determining that there is a blob in the corresponding image data; timing the duration of the blob in the floor area; detecting a loitering event when the duration exceeds a first predetermined threshold. | 2022-09-15 |
20220292282 | IDENTIFYING LAST PERSON IN QUEUE - A method, a computer program product, and a computer system identifies a last person of a queue. The method includes receiving an image of the queue where the image includes a plurality of individuals comprising the queue. The method includes determining positions and facing directions of the individuals comprising the queue. The method includes identifying the last person of the queue based on a vector field analysis according to the positions and the facing directions of the individuals comprising the queue. The method includes generating instructions to join the queue based on the identified last person of the queue. The instructions include a modified image indicating the last person of the queue in the image. | 2022-09-15 |
20220292283 | IMAGE-BASED KITCHEN TRACKING SYSTEM WITH ORDER ACCURACY MANAGEMENT - The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include receiving, by a processing device, image data including one or more image frames indicative of a current state of a meal preparation area. The processing device determines one of a meal preparation item or a meal preparation action associated with the current state of the kitchen based on the image data. The processing device receives order data comprising one or more pending meal orders. The processing device can determine an order preparation error based on the order data and at least one of the meal preparation item or the meal preparation action. The processing device causes the order preparation error to be displayed on a graphical user interface (GUI). | 2022-09-15 |
20220292284 | DYNAMIC DETECTION AND RECOGNITION OF MEDIA SUBJECTS - A system for indexing animated content receives detections extracted from a media file, where each one of the detections includes an image extracted from a corresponding frame of the media file that corresponds to a detected instance of an animated character. The system determines, for each of the received detections, an embedding defining a set of characteristics for the detected instance. The embedding associated with each detection is provided to a grouping engine that is configured to dynamically configure at least one grouping parameter based on a total number of the detections received. The grouping engine is also configured to sort the detections into groups using the grouping parameter and the embedding for each detection. A character ID is assigned to each one of the groups of detections, and the system indexes the groups of detections in a database in association with the character ID assigned to each group. | 2022-09-15 |
20220292285 | ADAPTIVE SELECTION OF DATA MODALITIES FOR EFFICIENT VIDEO RECOGNITION - One embodiment of the invention provides a method for video recognition. The method comprises receiving an input video comprising a sequence of video segments over a plurality of data modalities. The method further comprises, for a video segment of the sequence, selecting one or more data modalities based on data representing the video segment. Each data modality selected is optimal for video recognition of the video segment. The method further comprises, for each data modality selected, providing at least one data input representing the video segment over the data modality selected to a machine learning model corresponding to the data modality selected, and generating a first type of prediction representative of the video segment via the machine learning model. The method further comprises determining a second type of prediction representative of the entire input video by aggregating all first type of predictions generated. | 2022-09-15 |
20220292286 | OBJECT COUNTING SYSTEM FOR HIGH VOLUME TRAFFIC - A system may be configured to perform object counting in high volume traffic. In some aspects, the system may detect a candidate object within the region of interest in a current video frame, and determine that the candidate object is a detected object based at least in part on comparing an attribute value of the candidate object to historic attribute information determined during a plurality of previous video frames. Further, the system may determine track information based on the detected object and determine an object count representing a number of the objects that have entered the region of interest and/or a number of the objects that have exited the region of interest. | 2022-09-15 |
20220292287 | OBJECT COUNTING SYSTEM FOR HIGH VOLUME TRAFFIC - A system may be configured to perform object counting in high volume traffic. In some aspects, the system may determine object detection information defining an absence of an object within the region of interest in a current video frame, and determine that a location associated with the object is within a placeholder-eligible area within the region of interest based on first tracker information determined in a previous video frame. Further, the system may determine second tracker information including a bounding representation for the object based at least in part on the location and object detection information, and determine, based on the second tracker information, an object count representing a number of the objects that have entered the region of interest and/or a number of the objects that have exited the region of interest. | 2022-09-15 |
20220292288 | Image-Based Kitchen Tracking System with Anticipatory Preparation Management - The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include receiving, by a processing device, image data including one or more image frames indicative of a current state of a meal preparation area. The processing device determines a first quantity of a first ingredient disposed within a first container based on the image data. The processing device determines a meal preparation procedure associated with the first ingredient based on the first quantity. The processing device causes a notification indicative of the meal preparation procedure to be displayed on a graphical user interface (GUI). | 2022-09-15 |
20220292289 | SYSTEMS AND METHODS FOR DEPTH ESTIMATION IN A VEHICLE - Methods and system for training a neural network for depth estimation in a vehicle. The methods and systems receive respective training image data from at least two cameras. Fields of view of adjacent cameras of the at least two cameras partially overlap. The respective training image data is processed through a neural network providing depth data and semantic segmentation data as outputs. The neural network is trained based on a loss function. The loss function combines a plurality of loss terms including at least a semantic segmentation loss term and a panoramic loss term. The panoramic loss term includes a similarity measure regarding overlapping image patches of the respective image data that each correspond to a region of overlapping fields of view of the adjacent cameras. The semantic segmentation loss term quantifies a difference between ground truth semantic segmentation data and the semantic segmentation data output from the neural network. | 2022-09-15 |
20220292290 | DISTRIBUTED COMPUTING NETWORK TO PERFORM SIMULTANEOUS LOCALIZATION AND MAPPING - An apparatus includes a processing node of a distributed computing platform. The processing node communicates with other processing nodes over one or more networks. The processing node may receive frames of point clouds at a processing node of a distributed computing platform, determine a subset of the frames as key frames based at least in part on distances travelled between captures of the respective frames, and allocate tasks of processing the key frames to processing subnodes based at least in part on estimated processing demands of the key frames and processing capabilities of each of the processing subnodes. | 2022-09-15 |
20220292291 | Attention Masks in Neural Network Video Processing - A device configured for more efficiently processing video images within a set of video image data to detect objects is described herein. The device may include a processor configured to execute a neural network such as a convolutional neural network. The device can receive video image data from a plurality of cameras, such as stationary cameras. The device can acquire a set of sample images from a stationary camera and submit them to a specialized neural network for processing to generate an attention mask. The attention mask can be generated from a variety of methods and is applied to each of the subsequently acquired images form the camera to narrow down areas where the convolutional neural network should process data. The application of attention masks to images within video image data creates masked images that can be processed to detect objects with much greater accuracy and fewer computational resources required. | 2022-09-15 |
20220292292 | APPARATUS AND METHOD FOR RECOGNIZING FORMALIZED CHARACTER SET BASED ON WEAKLY SUPERVISED LOCALIZATION - Disclosed herein are an apparatus and a method for recognizing a formalized character set based on weakly supervised localization. The formalized character set recognition apparatus based on weakly supervised localization may include memory for storing at least one program; and a processor for executing the program, wherein the program performs recognizing one or more numerals present in a formalized character set image and a number of appearances of each of the numerals, extracting a class activation map in which a location of attention in the formalized character set image is indicated when a specific numeral is recognized, and outputting a formalized character set number in which numerals recognized based on the extracted class activation map are arranged. | 2022-09-15 |
20220292293 | CHARACTER RECOGNITION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM - A method, apparatus, electronic device, and storage medium for character recognition are provided. The method may perform image processing on an acquired original image to obtain a region to be recognized. The region may include a character. The method may determine an area ratio of the region to be recognized on the original image. The method may determine an angle between the region to be recognized and a preset direction. The method may determine a character density of the region to be recognized. The method may perform character recognition on the character in the region to be recognized in response to determining that the area ratio is greater than a ratio threshold, the angle is less than an angle threshold, and the character density is less than a density threshold. | 2022-09-15 |
20220292294 | OVERLAP-AWARE OPTICAL CHARACTER RECOGNITION - Solutions for more efficient and effective optical character recognition with respect to an input text segment are disclosed. In one example, a method includes processing an input text image using a deep character overlap detection machine learning model in order to generate a character map for the input text image, an overlap map for the input text image, and an affinity map for the input text image; generating an overlap-aware word boundary recognition output based at least in part on the character map, the overlap map, and the affinity map, wherein the overlap-aware word boundary recognition output describes one or more inferred word regions of the input text image; and performing one or more prediction-based actions based at least in part on the overlap-aware word boundary recognition output. | 2022-09-15 |
20220292295 | DIGITAL UNPACKING OF CT IMAGERY - An improvement to automatic classifying of threat level of objects in CT scan images of container content, methods include automatic identification of non-classifiable threat level object images, and displaying on a display of an operator a de-cluttered image, to improve operator efficiency. The de-cluttered image includes, as subject images, the non-classifiable threat level object images. Improvement to resolution of non-classifiable threat objects includes computer-directed prompts for the operator to enter information regarding the subject image and, based on same, identifying the object type. Improvement to automatic classifying of threat levels includes incremental updating the classifying, using the determined object type and the threat level of the object type. | 2022-09-15 |
20220292296 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - The present disclosure relates to an information processing device, an information processing method, and a program for improving object recognition accuracy. A feature amount obtained by a point cloud that is a dense detection point of LiDAR or the like and a feature amount of a sparse detection point of a millimeter wave radar or the like within a predetermined distance are grouped and integrated with reference to the position of the feature amount of the dense detection point, the point cloud is restored using an integrated feature amount of the dense detection point, and object recognition processing such as semantic segmentation is performed. The present disclosure can be applied to a mobile body. | 2022-09-15 |
20220292297 | Training Data Generation for Artificial Intelligence-Based Sequencing - The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task. | 2022-09-15 |
20220292298 | METHOD OF BUILDING MODEL FOR ESTIMATING LEVEL OF PSYCHOLOGICAL SAFETY AND INFORMATION PROCESSING DEVICE - A method of building a model for estimating a level of psychological safety includes acquiring, by a computer, post data communicated between members in a team, identifying fixed type post data that does not contribute to evaluation of the psychological safety among the acquired post data, and creating the model based on content of the acquired post data from which the fixed type post data has been removed. | 2022-09-15 |
20220292299 | DATA ANALYZING APPARATUS, METHOD AND STORAGE MEDIUM - According to one embodiment, a data analyzing apparatus acquires data containing the number N of analysis target samples (where N is an integer larger than or equal to 2). The apparatus performs a matrix factorization upon the data to factorize the data into the number K of basis samples and the number K of weights corresponding to the number K of basis samples (where K is an integer larger than or equal to 2), and fixes part of the K basis samples to specific basis samples in the matrix factorization. | 2022-09-15 |
20220292300 | EFFICIENT QUANTIZATION FOR NEURAL NETWORK DEPLOYMENT AND EXECUTION - Implementations disclosed describe methods and systems to perform the methods of deploying and executing machine learning models on target-specific computational platforms. Optimization techniques include but are not limited to alignment of kernel operations with hardware instructions of a target processing device, reduction of kernel dimensions near boundaries of data, efficient reuse of a small number of memory components during neural network operations, run-time quantization of data and neural network parameters, and other methods. | 2022-09-15 |
20220292301 | System and a Method for Training a Neural Network Having Autoencoder Architecture to Recover Missing Data - A computer-implemented method of training an autoencoder to recover missing data is provided. The autoencoder includes an encoder for encoding its inputs into a latent space and a decoder for decoding the encodings from the latent space. The method comprises creating a first training set including a valid data set of multiple dimensions, and training the encoder and the decoder in a first training stage using the first training set to reduce a difference between the valid data set provided to the encoder and a data set decoded by the decoder. The method further comprises creating a second training set comprising an invalid data set, and training the encoder in a second training stage using the second training set to reduce a difference between encodings of valid data instances and encodings of their corresponding invalid data instances. | 2022-09-15 |
20220292302 | EFFICIENT TEST-TIME ADAPTATION FOR IMPROVED TEMPORAL CONSISTENCY IN VIDEO PROCESSING - A method for processing a video includes receiving a video as an input at a first layer of an artificial neural network (ANN). A first frame of the video is processed to generate a first label. Thereafter, the artificial neural network is updated based on the first label. The updating is performed while concurrently processing a second frame of the video. In doing so, the temporal inconsistency between labels is reduced. | 2022-09-15 |
20220292303 | SYSTEMS AND METHODS OF RESOURCE CONFIGURATION OPTIMIZATION FOR MACHINE LEARNING WORKLOADS - Systems and methods can be configured to determine a plurality of computing resource configurations used to perform machine learning model training jobs. A computing resource configuration can comprise: a first tuple including numbers of worker nodes and parameter server nodes, and a second tuple including resource allocations for the worker nodes and parameter server nodes. At least one machine learning training job can be executed using a first computing resource configuration having a first set of values associated with the first tuple. During the executing the machine learning training job: resource usage of the worker nodes and parameter server nodes caused by a second set of values associated with the second tuple can be monitored, and whether to adjust the second set of values can be determined. Whether a stopping criterion is satisfied can be determined. One of the plurality of computing resource configurations can be selected. | 2022-09-15 |
20220292304 | MULTI-STAGE FEATURE EXTRACTION FOR EFFECTIVE ML-BASED ANOMALY DETECTION ON STRUCTURED LOG DATA - Herein are feature extraction mechanisms that receive parsed log messages as inputs and transform them into numerical feature vectors for machine learning models (MLMs). In an embodiment, a computer extracts fields from a log message. Each field specifies a name, a text value, and a type. For each field, a field transformer for the field is dynamically selected based the field's name and/or the field's type. The field transformer converts the field's text value into a value of the field's type. A feature encoder for the value of the field's type is dynamically selected based on the field's type and/or a range of the field's values that occur in a training corpus of an MLM. From the feature encoder, an encoding of the value of the field's typed is stored into a feature vector. Based on the MLM and the feature vector, the log message is detected as anomalous or not. | 2022-09-15 |
20220292305 | RANDOM WALKS TO DETECT DISSIMILAR RECORDS - One example method includes identifying dissimilar items in a data set. A data set may be walked one or more times and the nodes or vertices of the data set may be scored based on the number of times the nodes are touched during the walks. Scores below a threshold score are determined to be dissimilar nodes in the data set. This allows a diverse set of nodes to be identified. A dissimilar data set may be used to prevent unintentional bias in algorithmic training. | 2022-09-15 |
20220292306 | AUTOMATIC LABELING AND SEGMENTATION USING MACHINE LEARNING MODELS - In various examples, training methods as described to generate a trained neural network that is robust to various environmental features. In an embodiment, training includes modifying images of a dataset and generating boundary boxes and/or other segmentation information for the modified images which is used to train a neural network. | 2022-09-15 |
20220292307 | COMPUTER-IMPLEMENTED METHOD AND DEVICE FOR TRAINING A DATA-BASED POINT IN TIME DETERMINATION MODEL FOR DETERMINING AN OPENING POINT IN TIME OR A CLOSING POINT IN TIME OF AN INJECTION VALVE WITH THE AID OF MACHINE LEARNING METHODS - A computer-implemented method for training a data-based point in time determination model for ascertaining an opening or closing point in time of an injection valve of an internal combustion engine, based on a sensor signal. The method includes:
| 2022-09-15 |
20220292308 | SYSTEMS AND METHODS FOR TIME SERIES MODELING - Systems and methods of time series modeling is provided. A system identifies a first dataset that includes a plurality of time series having a plurality of characteristics. A first time series of the plurality of time series can include one or more characteristics of the plurality of characteristics that are different from characteristics of a second time series of the plurality of time series. The system selects, based at least in part on the plurality of characteristics, a plurality of models. The system trains, via machine learning, the plurality of models with the first dataset. The system generates a model based at least in part on a combination of the plurality of models. The system deploys the model to output one or more predictions responsive to a second dataset. The second dataset can be different from the first dataset and can have at least one of the plurality of characteristics. | 2022-09-15 |
20220292309 | SYSTEM AND METHOD TO CAPTURE DATA TRANSITIONS AND SELECT OPTIMAL DATA INTENSIVE MACHINE LEARNING MODEL - A computer-implemented system, method and computer program product for capturing data transitions and selecting machine learning models that includes: providing a machine learning model trained with a previous training data set; receiving a new data set; comparing the new data set to the previous data set; and identifying and recording new, removed, and/or changed set of attributes added to the new data set. Future possible data state transitions are generated based upon the present data state; and an implication tree is generated based upon the present data state, the pass-through data states, and the future possible data state transitions. Performance metrics of each node in the implication tree are clustered, the nodes demonstrating a high variance optionally are discarded; reachability scores for remaining nodes are calculated; and a node (representing a machine learning model to run) is selected based upon its reachability score. | 2022-09-15 |
20220292310 | METHOD AND SYSTEM FOR A FAST ADAPTATION FOR IMAGE SEGMENTATION FOR AUTONOMOUS EDGE VEHICLES - A method includes obtaining, by a local data system manager of a local data system of the local data systems, a portion of unlabeled data from a local data source, performing, using a domain classifier in the local data system manager, a domain classification analysis on the portion of the unlabeled data to identify a domain of the unlabeled data, making a first determination, based on the domain classification, that the domain classification has significantly varied from a previous domain, based on the first determination: performing an adaptive procedure on a local data system image segmentation model to obtain an adapted image segmentation model, and performing a domain reclassification on the domain classifier to obtain an updated domain classifier, and implementing the adapted image segmentation model on the local data system. | 2022-09-15 |
20220292311 | METHOD FOR OBJECT DETECTION AND RECOGNITION BASED ON NEURAL NETWORK - The present disclosure provides a method for object detection and recognition based on a neural network. The method includes: adding a detection layer following three detection layers of an existing YOLOv5 network model, to construct a new YOLOv5 network model; then, training the new YOLOv5 network model by considering an overlapping area between a predicted box and a ground truth box, a center-to-center distance between the two boxes, and an aspect ratio of the two boxes; and finally, inputting a to-be-detected image into the trained new YOLOv5 network model, outputting a predicted box of an object and probability values corresponding to a class to which the object belongs, and setting a class corresponding to a maximum probability value as a predicted class of the object in the to-be-detected image. This method can quickly and effectively detect multiple classes of objects. Especially, a detection effect for small objects is more ideal. | 2022-09-15 |
20220292312 | BIPOLAR MORPHOLOGICAL NEURAL NETWORKS - A bipolar morphological neural network may be generated by converting an initial neural network by replacing multiplication calculations in one or more convolutional layers with approximations that utilize maximum/minimum and/or addition/subtraction operations. The remaining part of the network may be trained after each convolutional layer is converted. | 2022-09-15 |
20220292313 | INFORMATION PROCESSING APPARATUS AND MODEL GENERATION METHOD - A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes inputting an accepted image to a first model generated through machine learning based on a composite image and information, the composite image being obtained by combining a first plurality of images each of which includes one area, the information indicating a combination state of the first plurality of images in the composite image, inputting a first image among a second plurality of images output by the first model to a second model generated through machine learning based on an image which includes one area and an image which includes a plurality of areas, and determining whether to input the first image to the first model, based on a result output by the second model in response to the inputting of the first image. | 2022-09-15 |
20220292314 | Systems and Methods for Refined Object Estimation from Image Data - Systems and methods are directed to a method for estimation of an object state from image data. The method can include obtaining two-dimensional image data depicting an object. The method can include processing, with an estimation portion of a machine-learned object state estimation model, the two-dimensional image data to obtain an initial estimated state of the object. The method can include, for each of one or more refinement iterations, obtaining a previous loss value associated with a previous estimated state for the object, processing the previous loss value to obtain a current estimated state of the object, and evaluating a loss function to determine a loss value associated with the current estimated state of the object. The method can include providing a final estimated state for the object. | 2022-09-15 |
20220292315 | ACCELERATED K-FOLD CROSS-VALIDATION - Models are k-fold cross-validated to determine how results of an analysis will generalize to an independent data set. By obtaining an inverse transformation of a set of residuals representative of a traditional repetitive train-then-test approach, models can be k-fold cross-validated in an accelerated manner to reduce computational cost and eliminate or substantially eliminate restrictions on the number of folds to include in the cross-validation. | 2022-09-15 |
20220292316 | SHAPE-BIASED IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL NETWORKS - A system for analyzing images includes a processing device includes a receiving module configured to receive an image, and an analysis module configured to apply the received image to a machine learning network and classify one or more features in the received image, the machine learning network configured to propagate image data through a plurality of convolutional layers, each convolutional layer of the plurality of convolutional layers including a plurality of filter channels, the machine learning network including a bottleneck layer configured to recognize an image feature based on a shape of an image component, The system also includes an output module configured to output characterization data that includes a classification of the one or more features. | 2022-09-15 |
20220292317 | DEFECT CLASSIFICATION APPARATUS, METHOD AND PROGRAM - According to one embodiment, a defect classification apparatus includes a processor. The processor acquires a first design image which is an image based on design data created by design software and relates to a first inspection target, and acquires a first real image which is captured by imaging the first inspection target produced based on the design data. The processor converts the first design image to a reference image represented by using a second real image captured by imaging a second inspection target without a defect. The processor calculates a reliability of the reference image. The processor detects a defect in the first inspection target by comparing the reference image and the first real image and classifies the defect, based on the reliability. | 2022-09-15 |
20220292318 | METHOD OF HOP COUNT MATRIX RECOVERY BASED ON DECISION TREE CLASSIFIER - A method of hop count matrix recovery based on a decision tree classifier, includes: S | 2022-09-15 |
20220292319 | PRINT AGENT COVERAGE VECTORS - In an example, a method includes determining, using processing circuitry, a first and second set of print agent coverage vectors characterising a white to black neutral axis in a color space. The first set of print agent coverage vectors may comprise non-black colorant elements and no black colorant elements, and the second set of print agent coverage vectors may comprise black colorant elements and no non-black colorant elements. Print agent coverage vectors characterising a skeleton of a color gamut using the non-black colorants and no black colorants and including the first set of print agent coverage vectors may also be determined, and a third set of print agent coverage vectors may be determined from the print agent coverage vectors characterising the skeleton using interpolation. A fourth set of print agent coverage vectors may be determined from the third set of print agent coverage vectors by, for each of a plurality of vectors of the third set, determining an amount of each non-black colorant specified in the vector of the third set of print agent coverage vectors, determining an amount of black colorant from one of the vectors from the second set of print agent coverage vectors; and determining a vector of the fourth set of print agent coverage vectors based on the amounts of non-black and black colorants. | 2022-09-15 |
20220292320 | IMAGE FORMING APPARATUS - According to at least one embodiment, an image forming apparatus includes a processor configured to cause forming an image with a decolorable color material on a tagged paper sheet with an RFID tag, reading data of the RFID tag attached to the tagged paper sheet before the image is formed, and promoting information related to reuse of the tagged paper sheet based on the data read from the RFID tag before the image is formed on the tagged paper sheet. | 2022-09-15 |
20220292321 | INSPECTION SYSTEM - An inspection system comprises: a placing surface having a plurality of areas for placing a plurality of gaming chips to be inspected one by one; an RFID reading system that reads the RFID tags of the gaming chips placed in each of the plurality of areas on the surface to obtain the type information and identification information for each of the areas; a chip recognition system that recognizes the presence or absence of at least one of the gaming chips placed in each of the plurality of areas of the placing surface; a control device that determines a status of the gaming chip in each of the areas of the placing surface based on the type and identification information obtained by the RFID reading system and the recognition results of the chip recognition system; and a display device that reflects the status determined by the control device for each area. | 2022-09-15 |
20220292322 | CORKSCREW WITH CONFIRMATION OF OPENING OF AN AUTHENTICATED BOTTLE - A corkscrew includes a detection assembly configured to detect that a cork has been extracted from the neck of a bottle and thus guarantee that said bottle has actually been opened. Advantageously, this corkscrew is equipped with a reader device to read a security device associated with the bottle that is to be opened, uniquely authenticate this bottle, and provide stock control thereof. Also provided is an assembly including such a corkscrew and a charging base powering the battery of this corkscrew, this base being able to includes a reader device for reading security devices of a plurality of bottles positioned in its area of coverage so as to provide stock control of a cellar. | 2022-09-15 |
20220292323 | CORRELATED ASSET IDENTIFIER ASSOCIATION - Systems, methods, and computer-readable data storage apparatus provide automated identification techniques that seamlessly and accurately bridge the differences between different identification systems to enable more useful and advanced product and service offerings, such as realtime tracking of shipment location and status. | 2022-09-15 |