Abstract: A medical image data processing apparatus comprises processing circuitry configured to: receive a plurality of sets of medical imaging data; and train a classifier for use in classification, wherein the training of the classifier comprises, for each of the plurality of sets of medical imaging data: selecting a first part and a second part of the respective set of medical imaging data, wherein the first part and the second part are representative of different regions of the same subject; and training the classifier for use in classification based on the first part of the set of medical imaging data and the second part of the set of medical imaging data.

Abstract: Embodiments of this disclosure belong to the field of computer technologies and disclose a method and an apparatus for recognizing a character string in an image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating images using neural networks. One of the methods includes generating the output image pixel by pixel from a sequence of pixels taken from the output image, comprising, for each pixel in the output image, generating a respective score distribution over a discrete set of possible color values for each of the plurality of color channels.

Abstract: A white-plate graphic erosion process is performed on print data subjected to a RIP process in the following procedure. First, an erosion candidate region which is a candidate for a region in which a white-plate graphic is eroded is determined. Then, a region to be applied with an ink of a color other than white is determined. Then, an application target region is determined. Then, a region other than a region obtained by an erosion process out of the application target region is determined to be an erosion allowed region. Then, a region included in the colored region and the erosion allowed region out of the erosion candidate region is determined to be an erosion target region. Finally, the values of data of pixels included in the erosion target region among white-plate data are rewritten such that the amount of white ink applied to the pixels is reduced.

Abstract: An electronic apparatus includes a convertor, and a discharge circuit, and a controller. The convertor controls supply of power to a load according to one of a state of a switch and an operational mode of the electronic apparatus. The discharge circuit discharges a capacitor of a power supply when the convertor stops operating. The controller detects completion of discharge performed with the discharge circuit according to a voltage in the discharge circuit, and restores operation of the convertor in response to a detection of the discharge completion detector indicating the completion of the discharge of the capacitor, when the switch is in the closed state or when the operational mode is switched from the sleep mode to the operating mode.

Abstract: A print control system includes a memory controller, a receiver, and a limiter. The memory controller stores permission information in a memory, the permission information representing a user who is permitted to use a medium contained in a paper feeder of an image forming apparatus. The receiver receives a print setting including a type of a medium to be used and identification information identifying a user. If use of the medium of the type included in the print setting by the user identified by the identification information included in the print setting is not permitted in the permission information, the limiter limits the use of the medium by the user.

Abstract: Weighted transaction cards and methods of manufacturing the same. The weighted transaction cards may include a metallic member that comprises at least a portion of a layer of the transaction card. The metallic member may be encapsulated and/or disposed in an opening of a surround to define an inlay. The inlay may be laminated with one or more additional layers according to traditional card manufacturing techniques (e.g., a hot lamination process). The weighted transaction cards may have a weight significantly greater than traditional plastic transaction cards such that the weighted transaction cards. The inlay may include an antenna for contactless or dual interface with transaction card readers.

Abstract: Briefly, an intelligent label is associated with a good, and includes one or more permanent and irreversible electrochromic indicators that are used to report the condition of that good at selected points in the movement or usage of that good. These electrochromic indicators provide immediate visual information regarding the status of the good without need to interrogate or communicate with the electronics or processor on the intelligent label. In this way, anyone in the shipping or use chain for the good, including the end user consumer, can quickly understand whether the product is meeting shipping and quality standards. If a product fails to meet shipping or quality standards, the particular point where the product failed can be quickly and easily identified, and information can be used to assure the consumer remains safe, while providing essential information for improving the shipping process.

Abstract: In a two-dimensional code generation device (100), a white point determiner (111) determines a white point in an environment to output a two-dimensional code. A threshold acquirer (112) acquires a threshold of lightness used by a reading device for reading multiple cells in binary, the threshold being represented in a device-independent color space that is based on the white point determined by the white point determiner (111). A two-dimensional code generator (113) generates a two-dimensional code expressing information by a distribution pattern of multiple cell dots formed by coloring the multiple cells in a color of lightness equal to or higher than the threshold acquired by the threshold acquirer (112) and in a color of lightness lower than the threshold.

Abstract: An operator control system includes switches, RFID transponders, and a RFID reader. Each switch has a cap support and a switch cap. The switch caps are respectively interchangeably attachable to the cap supports. The RFID transponders are respectively attached to the switch caps. Each RFID transponder stores a respective piece of information identifying a respective control function so that the switch cap to which the RFID transponder is attached is associated with the respective control function. The RFID reader is arranged on at least one of the switches for reading the piece of information of at least one of the RFID transponders.

Abstract: An electronic device includes: a coil, a chip with a contact-less function, a rectifier and a switcher. The switcher is connected between the coil and the chip. A first output terminal of the coil is connected to a first input terminal of the rectifier and a second input terminal of the chip. The coil is configured to sense a field and output an AC signal; the rectifier is used for receiving an AC signal input by the coil and outputting electric power through a second output terminal of the rectifier. The switcher is used for connecting the coil with the chip under an input operating voltage, and controlling a connection or disconnection of the coil and the chip according to a control signal when the control signal is received.

Abstract: A reading apparatus for reading a wireless tag, such as an RFID tag, comprises a housing having a chamber and an opening providing an entrance to the chamber. A door attached to the housing and covers the opening when closed and permits access to the chamber when opened. A detector is proximate to a first portion of the housing and is configured to detect whether the door is opened or closed. The first portion of the housing faces the door when the door is closed. An antenna within the housing is configured to emit a radio wave to read information from wireless tags inside the chamber. A shielding portion is disposed adjacent to the detector to prevent the radio wave emitted by the antenna from leaking to the outside of the housing through the first portion of the housing.

Abstract: In an embodiment, a carrier signal generation circuit can be used for a Radio-frequency identification (RFID) transponder device. A frequency divider circuit has a first input to receive a first frequency signal, a second input to receive a division ratio signal, and an output to provide a carrier signal as a function of the first frequency signal and the division ratio signal. A phase difference circuit has a first input to receive an analog reader device carrier signal, a second input to receive a signal based on the first frequency signal and an output to provide a digital phase difference signal as a function of the reader device carrier signal and the signal based on the first frequency signal. A signal processor has an input coupled to the output of the phase difference circuit.

Abstract: Configurable machine learning assemblies for autonomous operation in personal devices are provided. Example systems implement machine learning based on neural networks that draw low power for use in smart phones, watches, drones, automobiles, and medical devices. The onboard machine learning assemblies can be powered by batteries, and once onboard a small personal device, can learn to perform object recognition and autonomous decision-making without access to outside resources. The assemblies can be small or even nano-scale, and may draw less than one watt of power on average. An assembly can be configured from pluggable, interchangeable modules that have compatible ports for interconnecting and integrating functionally dissimilar sensor systems. A core module contains a machine learning kernel, and multiple cores can be connected together to expand the neural network. An example machine learning assembly auto-detects sensors and peripherals, and extends a network or bus to all connected components.

Abstract: An example method includes receiving raw data sets containing drilling parameter and operating condition values generated during subterranean drilling operations. The raw data sets may be separated into training data sets based, at least in part, on the types of the subterranean drilling operations. At least one predictive model may be generated based, at least in part, on at least one training data set. The at least one predictive model may determine a rate of penetration (ROP) for a drilling operation of the same type to which the at least one training data set corresponds.

Abstract: A method, system and computer program product for generating sets of training programs for machine learning models. Fixed values of one or more workload metrics are received from a user, where the workload metrics correspond to low-level program features which define particular low-level application behavior. A profile using the fixed values of the workload metrics is then created. A suite of synthetic applications is generated using the created profile to form a set of training programs which target particular aspects of program behavior. A machine learning model is then trained using the set of training programs. Since the generated synthetic applications provide a broader coverage of the program state-space, the formed set of training programs more accurately targets performance behavior thereby improving the prediction accuracy of the machine learning based predictive models.

Abstract: A learning apparatus includes at least one memory and at least one circuit. The circuit (a) obtains a first neural network that has learned by using source learning data and obtains target learning data, the target learning data including a plurality of first data items each of which is given a first label and a plurality of second data items each of which is given a second label, (b) obtains a plurality of first output vectors by inputting the plurality of first data items to a second neural network and obtains a plurality of second output vectors by inputting the plurality of second data items to the second neural network, and (c) generates a first relation vector corresponding to the first label by using the plurality of first output vectors and generates a second relation vector corresponding to the second label by using the plurality of second output vectors.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

Abstract: Certain embodiments involve generating or optimizing a neural network for generating analytical or predictive outputs. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used to determine a relationship between each of the predictor variables and a response variable. The neural network can be optimized by iteratively adjusting the neural network such that a monotonic relationship exists between each of the predictor variables and the response variable. The optimized neural network can be used both for accurately determining response variables using predictor variables and determining adverse action codes for the predictor variables, which indicate an effect or an amount of impact that a given predictor variable has on the response variable.

Abstract: Embodiments are directed to a watched questions threshold filtering system that functions to determine and deliver to a user relevant and significant data changes with respect to a user's goals, as defined by a notification threshold value provided by the user. The user is provided with an option to flag one or more queries for automatic re-querying. Confidence scores are processed on new data (i.e., data ingested after the original question was asked) by utilizing a confidence threshold for indicating if the new data warrants alerting a user.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM (“DCM-Platform”) transforms digital dialogue from consumers, client demands and, Internet search inputs via DCM-Platform components into tradable digital assets, and client needs based artificial intelligence campaign plan outputs. In one implementation, The DCM-Platform may capture and examine conversations between individuals and artificial intelligence conversation agents. These agents may be viewed as assets. One can measure the value and performance of these agents by assessing their performance and ability to generate revenue from prolonging conversations and/or ability to effect sales through conversations with individuals.

Abstract: A system, method, and computer-readable medium for performing an analytics workflow generation operation. The analytics workflow generation operation enables generation of targeted analytics workflows (e.g., via a data scientist (i.e., an expert in data modeling)) that are then published to a workflow storage repository so that the targeted analytics workflows can be used by domain experts and self-service business end-users to solve specific classes of analytics operations.

Abstract: The invention relates to the field of control and computing technologies. A method is provided for building an inference path in a knowledge base comprising a representation of a model of a subject domain in the form of objects and links arranged in an oriented bipartite graph. The objects contain parameters, and the links contain rules; each rule has an input variable and an output variable, and each parameter linked with a rule is either an input variable or an output variable of the rule. A collection of known parameters is generated, and one or more required parameters are specified. The method comprises performing processing with respect to each known parameter which has not undergone the processing before, in order to find the required parameters.

Abstract: A system for providing fuel location recommendations can include a vehicle data receiver configured to receive vehicle data from a vehicle computer, navigational system, and/or a vehicle operator, a fuel characteristic module configured to receive fuel properties of one or more fuel batches from a fuel property database, and a recommendation module configured to determine one or more recommended locations for refueling the vehicle based on received vehicle data from the vehicle data receiver and received fuel properties from the fuel property database.

Abstract: Techniques for decoupling cognitive model training from execution of the cognitive model are provided. In one example, a computer program product is provided that determines cognitive data based on context data and a model of interpreting the context data. The cognitive data can comprise prediction data that represents a prediction relating to a state of an environment. The context data and the cognitive data can be transmitted to a server, and an updated model can be received in response.

Abstract: Mechanisms are provided for evaluating a temporal relevance of a portion of content to a cognitive operation request. A cognitive operation request is received that comprises a portion of input text and the input text is analyzed, by a temporal relevance evaluation engine, to identify a temporal focus of the input text. A corpus of content is processed based on the input portion of text to generate candidate results each of which are processed to identify at least one contextual temporal focus associated with the candidate result. The at least one contextual temporal focus is compared with the temporal focus of the input text and a measure of temporal relevance of the candidate result is generated based on results of the comparison. The cognitive operation is performed based on the measure of temporal relevance.

Abstract: Techniques for implementing a safety protocol are provided. In one example, a system is provided that can execute a machine-learned model to determine cognitive data representing a prediction about a state of an environment and an action to be performed in response to the prediction. The system can determine that a connection with a remote device is unavailable, and in response activate a safety protocol.

Abstract: Systems and methods are disclosed for question generation to infer the most probable cause from the observable outcome and known Noisy-OR causal relations. In embodiments, the outcomes are sorted by indices according to an order including but not limited to the outcomes' natural frequency order, expert-labeled order, machine-learning derived order, etc. According to their assigned indices, in embodiments, observed outcomes with lower indices are assigned for exact inference while observed outcomes with higher indices are assigned for variational inference. In embodiments, results of exact inference and variational inference are combined to predict the most probable cause. The unique combination of exact inference and variational inference according to outcome indices makes the probable cause inferring process faster.

Abstract: [Object] To provide an information processing apparatus, an information processing method, and a program, each of which is capable of providing, by using a prediction result regarding a certain user, useful information to another user. [Solution] The information processing apparatus includes an output control unit configured to output, to a first user, prediction information indicating a prediction result of context information of a second user, the prediction information being related to the context information of the first user and being generated on the basis of a history of the context information of the second user.

Abstract: A method and system is provided for identifying patters in datasets by identifying delimited regions of feature-space in which patterns occur. The delimited regions are then combined into an ensemble able to make predictions based on the identified regions of feature-space. The method may be used for classification, for regression, for auto-encoding, for simulation, and for other applications of pattern detection.

Abstract: A method, article comprising machine-readable instructions and apparatus that processes data systems for encoding, decoding, pattern recognition/matching and data generation is disclosed. State subsets of a data system are identified for the efficient processing of data based, at least in part, on the data system's systemic characteristics.

Abstract: A computer-implemented method includes receiving data representing pre-existing instances of an analytics model developed over time; detecting changes in state of the analytics model over time to detect trends; generating a new instance of the analytics model that has been modified based on detected trends in the analytics model; generating new training data based on discovered trends of the analytics model over time; comparing a coverage of the new instance of the analytics model and coverages of the pre-existing instances of the analytics model with the new training data; and determining whether new instance of the analytics model have better coverage than the pre-existing instances of the analytics model with the new training data. A corresponding computer program product and system are also disclosed.

Abstract: Systems and methods are disclosed for a server generating a plurality of proxy prediction models for each of a plurality of applications for use by client devices. Providing a prediction model based on a data distribution that more closely matches the user private data of the actual user of the client device, as opposed to a generic model, can improve the accuracy of predictions and improve the benefits to the user of the client device. The plurality of prediction models are generated by a server and provided to a plurality of clients. For a particular application, a client device can use previously collected private user data to select one of the plurality of prediction models for the application as being a closest matching prediction model to use for a particular user.

Abstract: A method for modeling a system that includes a disturbance rejection model configured for modeling an operation of the system so to generate a predicted value for a system output. The disturbance rejection model having a network for mapping system inputs to the system output, and input-output pairings, each representing a unique pairing of one of the system inputs with the system output. The method may include the steps of: calculating a confidence metric for a selected input-output pairing of the disturbance rejection model; and recommending a modification be made to the disturbance rejection model based upon the confidence metric calculated for the selected one of the input-output pairing. The confidence metric may indicate a probability that a predicted sign of a gain in the system output made by the disturbance rejection model is correct when the system input of the selected input-output pairing is varied.

Abstract: Various aspects may include methods, computing devices implementing such methods, and non-transitory processor-readable media storing processor-executable instructions implementing such methods for improving battery life with performance provisioning using machine learning based automated workload classification. Various aspects may include creating a machine learning model based at least in part on computing device metrics, training the machine learning model using performance provisioning rules for work groups; classifying a new work item for a software application into a work group using the trained machine learning model, and applying resource provisioning rules for the work group to the new work item.

Abstract: A system disclosed herein includes a hardware processor and a predictive risk model training software code stored in a system memory. The hardware processor executes the software code to receive vital sign data of a population of subjects including positive and negative subjects with respect to a health state, to define data sets for use in training a predictive risk model, to transform the vital sign data to parameters characterizing the vital sign data, and to obtain differential parameters based on those parameters. The hardware processor executes the software code to further generate combinatorial parameters using the parameters and the differential parameters, to analyze the parameters, the differential parameters, and the combinatorial parameters to identify a reduced set of parameters correlated with the health state, to identify a predictive set of parameters enabling prediction of the health state for a living subject, and to compute predictive risk model coefficients.

Abstract: A data processing system for structuring data includes a repository storing data referencing sources, the data representing actions and states for each of the sources. A data structuring engine generates a data sequence, for each source. Each data sequence represents states and actions for the source. An aggregation engine aggregates data sequences for the sources into a data structure, each entry of the data structure representing a state. Each entry includes an identifier for the state, a probability value of at least one action occurring at the state, the probability value based on a proportion of the data sequences comprising the state that also comprises the at least one action, and frequency data indicating a proportion of the data sequences included in the entry. A classification engine traverses the data structure and classifies the data sequences into groups based on probability values and frequency data associated with each state of each respective data sequence.

Abstract: Systems and methods for optimizing travel bookings. A travel analyzing computing device is configured to retrieve historic transaction data including addendum data from travel booking transactions of cardholders. The travel analyzing computing device then extracts booking information comprising booking dates, travel dates, and prices from the retrieved historic transaction data. The travel analyzing computing device is further configured to receive booking inquiries comprising a travel date. Based on the travel date indicated in the booking inquiry, the travel analyzing computing device generates booking data including an optimal booking date. The travel analyzing computing device may then transmit the booking data, including the optimal booking date, to the user computing device.

Abstract: A method for enabling transactions on networks that deliver services to users includes communicating a transaction application and a respective user identifier to a mobile communication device via a wireless connection. A set of complementary modules is stored, remote from the mobile communication device. When one of the complementary module has been loaded on the user's mobile communication device, it enables the user of the device to specialize a transaction on at least one of the associated networks by selecting at least one variable of the transaction. Different complementary modules can be provided to the user's mobile communication device for specializing transactions on other service provider networks.

Abstract: The invention relates to a method (200) for reserving a journey, within the framework of an installation (100) for the automated rental of vehicles, in particular electric vehicles, comprising a plurality of sites (104), said method (100) comprising a step (202) of selecting an arrival position (322) automatically initiating the following steps: automated determination (206) of a departure position; automated identification (208) of a departure site that is the closest to the departure position; and automated identification (210) of an arrival site that is the closest to the arrival position; and said method (200) also comprising a step (212) of storing at least one reservation data for said departure site (310) and at least one reservation data for said arrival site (324).

Abstract: A method for detection and use of device identifiers to enhance the security of data transfers between electronic devices. A first electronic device can transmit access data to a second electronic device. The access data can be associated with a first access code that can be generated based at least in part on data representing a device identifier of the first electronic device. A device identifier can uniquely identify the first electronic device from a plurality of electronic devices. Transferring the access data can involve transforming the first access code into a second access code that can include data representing a device identifier associated with the second electronic device. Transforming the first access code into the second access code can facilitate access to a resource associated with the access data for a second user, but not for a first user.

Abstract: A system for linear regression modeling for load factors is disclosed. The system determines capacity, optimal authorizations, probabilities and models using a real-time iterative process throughout a period of time.

Abstract: In embodiments of the present invention improved capabilities are described for a computer-based method for reproducing a performance sound quality in a rehearsal space, the method comprising accessing a computer stored multi-dimensional sound signature for an audience location in a performance space, receiving sound data from a sound input device in the rehearsal space, modifying the sound data to match a sound characteristic of the multi-dimensional sound signature, and transmitting the modified sound data through a sound output device in the rehearsal space.

Abstract: A system and method for communication routing, transportation coordination and product creation, based on the number of delivery agents and the need for delivery of an order placed through a customer order placement application, the method includes receiving a communication for each of the plurality of delivery agents comprising a delivery agent location, determining a delivery agent arrival time for pickup of the order, and based at least partially on the arrival time, transmitting, by the communication router over the communication network to the manager application, an instruction communication to begin preparation of each of the items at the respective preparation start time for each of the items so that completion of preparation of each of the items in the order substantially coincides with the completion of preparation of each of the other items in the order and coincides with the arrival time of the delivery agent.

Abstract: Techniques for automated data center maintenance are described. In an example embodiment, an automated maintenance device may comprise processing circuitry and non-transitory computer-readable storage media comprising instructions for execution by the processing circuitry to cause the automated maintenance device to receive an automation command from an automation coordinator for a data center, identify an automated maintenance procedure based on the received automation command, and perform the identified automated maintenance procedure. Other embodiments are described and claimed.

Abstract: A control panel is used to control and/or monitor an automation system. The automation system may also be used in connection with one or more enhanced services, such as a remote access service. The remote access service may allow a user to control or monitor some or all aspects of the automation system through a remote computing device. To use the remote access service, or other enhanced services, the user may register to associate the user with the control panel of the automation system. If it is determined that the user has not registered, the service provider may send a message to the control panel. The message may prompt the user to register for the enhanced service. Optionally, contact information may be requested to allow a message to be sent to a personal device of the user to facilitate registration or use of the enhanced service.

Abstract: A system and method for determining a configuration of a plurality of tasks to meet the specified deadline of a linear workflow of a real-time heterogeneous network. Often times, while meeting expected application performance in the heterogeneous network, it may possible to have graceful degradation of quality for ensuring timing constraints at the same time. In a multi-layered architecture, where each layer is equipped with multiple computational resources, the time optimization for each of the plurality of tasks can be achieved through approximate computing and analyzing all possible configurations of each task in a workflow within a particular layer.

Abstract: A computer-implemented system and method are disclosed for performing engineering review of energy consumption by one or more equipment. One or more computers are connected to a specifications database. The computers are configured to receive end-user configurations corresponding to first equipment; retrieve one or more second equipment, as well as second equipment specifications from the specifications database; calculate an invoicing statement for the second equipment; and provide an engineering review report of the energy savings realized by implementing the second equipment. The first equipment may be an existing equipment, while the second equipment is one or more energy-efficient replacement alternatives to the first equipment. Each step is performed in real-time, using automated software modules and sub-modules.

Abstract: A method of behavior assessment or performance prediction, comprising: acquiring a video stream of an interviewee responding to a set of interview prompts or a corpus of documents of a subject; analyzing at least the semantic content of the video stream or corpus; statistically processing, with at least one automated processor, the semantic content according to a correspondence of the interviewee's response or subject's corpus to a set of classified exemplar responses, and a context, to classify the interviewee or subject with respect to the context; and generating at least one output selectively dependent on the classification of the interviewee or subject.

Abstract: An industrial service device fleet management system implements an organized and easy to use methodology to manage the digital content stored on each of a plurality of portable or stationary devices used in a plant, such as portable maintenance devices, to assure that each of the portable devices receives or implements only the content that it is supposed to have and is upgraded at the appropriate time to include new content, features, etc. The fleet management system includes a memory for storing information related to the fleet of portable or stationary devices including device identifications, device descriptions, end user names and privileges, the current content of each of the portable devices, and templates defining configuration parameters for the portable or stationary devices. The system also includes a content downloader that obtains, stores, and downloads content (such as software and firmware upgrades, additional features, applications, drivers, knowledge articles, etc.