Abstract: The inventors of the present application developed novel optically active materials, methods, and articles. One embodiment of the present application is an optically active article, comprising: an infrared-reflecting material positioned adjacent to an optically active substrate such that the infrared-reflecting material forms a pattern that can be read by an infrared sensor when the optically active substrate is illuminated by an infrared light source. Another embodiment of the present application relates to a method of manufacturing an optically active article, comprising: obtaining an optically active sheeting; and positioning an infrared-reflecting material on the optically active sheeting to form a pattern. The optically active article may be, for example, a license plate.

Abstract: An infill apparatus and method for an output of a 3D printer, including a unit block generating part which slices a 3D model by using three planes orthogonal to each other to generate unit blocks; a unit block classifying part which classifies the unit blocks into boundary unit blocks and internal unit blocks according to positions thereof and classifies the boundary unit blocks into flat roof unit blocks and non-flat roof unit blocks according to whether or not a flat roof region is included; a combined block generating part which merges the internal unit blocks and generates a combined block; a flat roof point discriminating part which discriminates flat roof points in the combined block; a combined block dividing part which divides a part of the combined block including the flat roof points; and an infill shape determining part which determines a divided surface (or contact surface) of the combined block divided by the combined block dividing part as infill shape and outputs a printing material to the infi

Abstract: A printer has a print unit, a printer communicator, printer storage, and a printer controller. The controller controls the printer communicator to receive a print command that includes character data and a font command. The controller acquires font data for characters specified by the character data based on font data and relational information stored by the printer storage 21. The controller generates print data by applying a specific process related to the font type and controls the print unit based on the generated print data to print on a print medium.

Abstract: A method for compensating coloring range of colored 3D object is disclosed. The method includes following steps: importing a 3D object; performing an object slicing process to the 3D object for generating multiple object printing-route information for multiple printing layers; performing an image slicing process to the 3D object for generating multiple color printing-route information for the multiple printing layers; performing an extension process to the color printing-route information for generating updated color printing-route information, the updated color printing-route information may cover extension blocks respectively generated from each sliced object after the sliced object is printed.

Abstract: A printing apparatus has a sheet holding unit having a detection unit for detecting a size of a sheet which is held and a storage unit configured to store sheet information including at least a size of a sheet as information representing a sheet. The apparatus sets first sheet information selected by a user in association with the sheet holding unit from a plurality of items of sheet information stored in the storage unit and notifies the user of a mismatch in a case where a size of a sheet that the first sheet information set in the setting indicates, and a size of a sheet detected by the detection unit are mismatched.

Abstract: A processor causes a transmission circuit to output a carrier signal intermittently. Each time the carrier signal is output, the processor determines whether or not a level of a detection signal is in a satisfactory state. In a first case where the level of the detection signal is determined to be in the satisfactory state, the processor performs a read control to cause the transmission circuit to perform a precharge process and a transmission process. In a second case where the level of the detection signal is not determined to be in the satisfactory state, the processor determines that the unit attachment portion is in a unit non-attachment state. In the first case, when the processor succeeds in identifying the developer information, the processor determines that the unit attachment portion is in a unit attachment state, and otherwise, determines that the unit attachment portion is in an exceptional state.

Abstract: In a printing apparatus, printing requests for first and second target data are received via a network interface from a terminal device. First target data, first password information, and first identification information are stored in association with one another in a memory, and second target data, second password information, and first identification information are stored in association with one another in the memory. When it is determined that the specific password information received via the inputting device matches the first password information, the printing device is controlled to print a first image represented by the first target data, the second target data whose associating identification information is the first identification information associated with the first target data is extracted from the memory, and the printing device is controlled to print a second image represented by the second target data.

Abstract: A reflected light identification (RLID) system uses light to communicate stored information across long distances with minimal interference. The RLID system may include a light source that directs an incident light signal to an RLID structure, which then transmits an encoded light signal to a sensor. The RLID system may include a passive RLID structure (i.e., a structure that does not include power source) such as an RLID reflection surface that includes layered reflective films that reflect the incident light signal back in multiple reflections that serially encodes data. The RLID system may also include an active RLID structure (i.e., a structure that includes power source) that uses energy harvesting to extract and accumulate power from an incident light signal, and then uses the harvested energy to transmit a return signal.

Abstract: A mobile phone is disclosed. The mobile phone may receive a first request to generate an initial scannable image, and a second request to generate modified scannable image. The modified scannable image can include a static portion that corresponds to a static portion of the initial scannable image. The modified scannable image may also include another portion that has a different appearance than a corresponding portion of the initial scannable image.

Abstract: A barcoded indicator operative to provide a machine-readable indication of exceedance of at least one threshold by at least one product quality affecting parameter, the barcoded indicator including a first barcode including a first plurality of barcode bars and at least a first colorable area, at least a second barcode including a second plurality of barcode bars and at least a second colorable area, and at least one interposed line extending between the first barcode and the second barcode, the interposed line being capable of preventing a barcode reader from reading parts of the first barcode and of the second barcode as part of a single barcode.

Abstract: A credit card with an obscurable account identifier. The credit card further comprises a substrate defining a first surface with a chromogenic feature wherein the chromogenic feature is capable of changing from a first state and a second state based on an activating trigger. In the first state, the chromogenic feature appears with a first optical property that obscures the account identifier, and in the second state, the chromogenic feature appears with a second optical property that reveals the account identifier.

Abstract: A detection device includes a first antenna configured to receive a first radio wave transmitted from an external device, a second antenna configured to receive the first radio wave transmitted from the external device, and transmit a second radio wave to the external device; and a chip configured to obtain a comparison result between a first electromotive force generated by the first radio wave received by the first antenna and a second electromotive force generated by the first radio wave received by the second antenna, and to send the comparison result to the external device through the second radio waive. When the first antenna is disposed closer than the second antenna to a place where the existence of moisture is to be detected, a change of the first electromotive force is greater than a change of the second electromotive force in response to the existence of moisture.

Abstract: A portable data carrier has a contactless interface which serves for transmitting energy and data between the data carrier and an external terminal. A first chip serves for processing the data and is supplied with energy and data by the contactless interface. The data carrier comprises a body which is at least partly light-transmissive at least on one area, wherein the data carrier has a light source which extends areally at least over a part of the area of the data carrier and emits light uniformly or non-uniformly over the areal extension.

Abstract: The present invention provides for an RFID transponder, suitable for use in a wristband, which has a non-uniform loop that provides a staple RF environment between the wrist and the transponder; a tuning capacitor for minimizing the overall transponder link; a single transmission line for fine tunings; and an asymmetric location of the RFID IC and capacitor for accommodating needs for specified “keep out” areas for packaging.

Abstract: The invention concerns a method for producing a flexible circuit for a chip card module. The invention consists of using conductive pads located on the same face of the module as the contacts intended to establish a connection with a card reader, in order to produce an electrical connection between an antenna and an electronic chip. The connections with conductive pads are located partly inside an encapsulation area and partly outside said encapsulation area and respectively to either side of same. The invention also relates to a flexible circuit for implementing this method.

Abstract: This invention provides an insulated plug with an RFID tag including a main body and the RFID tag. The main body includes a conductive rod. The RFID tag includes a tag antenna and a tag chip connected at a feeding part of the tag antenna. The tag antenna includes a substrate and an antenna structure. The substrate has an installation hole, and the conductive rod passes through the installation hole and is fixed with the installation hole. The antenna structure is disposed at the substrate and includes a radiation part, a reflection part and a connection part. The radiation part is formed at one end of the substrate and has a feeding part. The reflection part is formed at the other end of the substrate and is closed. The connection part is disposed at the substrate and is electrically connected with the radiation part and the reflection part.

Abstract: An antenna device includes: an antenna wiring including a spiral wiring having a ring shape, wherein the spiral wiring includes a linear part formed as a straight line or a curved line, and a bent part formed as a meandering line.

Abstract: An RFID unit includes an RFID unit A and an RFID unit B that are separable on a break line, where the RFID unit A includes an IC chip portion A that stores an UUID and an antenna portion A, and the RFID unit B includes an IC chip portion B that stores an UUID and an antenna portion B. Before the RFID unit is separated into the RFID unit A and RFID unit B, either the RFID unit A or RFID Unit B transmits a first signal including the UUID. After the separation, at least either the RFID unit A or RFID unit B transmits a second signal, different from the first signal, including the UUID.

Abstract: The invention proposes that a software agent for assisting a user in a virtual environment defined by a first concept map, maintains a record of its experiences in the form of a second concept map. The concept maps are compared to obtain a measure of stimulation. The measure of stimulation is used to derive a comparison value indicative an emotional state of the user, and the comparison value is used in a reward function to guide the behavior of the software agent.

Abstract: Aspects of the disclosure provide a method for configuring a Quantum Annealing (QA) device. Then QA device has a plurality of qubits and a plurality of couplers at overlapping intersections of the qubits. The method includes mapping a node of a neural network that have a plurality of nodes and connections between the nodes to a qubit in the QA device, and mapping a connection of the neural network to a coupler at an intersection in the QA device where two qubits corresponding to two nodes connected by the connection intersect. The method further includes mapping a node of the neural network to a chain of qubits. In an embodiment, a coupling between qubits in the chain is configured to be a ferromagnetic coupling in order to map the node of the neural network to the chain of qubits.

Abstract: Provided herein is a system for creating, modifying, deploying and running intelligent systems by combining and customizing the function and operation of reusable component modules arranged into neural processing graphs which direct the flow of signals among the modules, analogous in part to biological brain structure and operation as compositions of variations on functional components and subassemblies.

Abstract: Executing a neural network includes generating an output tile of a first layer of the neural network by processing an input tile to the first layer and storing the output tile of the first layer in an internal memory of a processor. An output tile of a second layer of the neural network can be generated using the processor by processing the output tile of the first layer stored in the internal memory.

Abstract: A trained neural network that is configured to generate predictions for periods of time in the future based on input data can be received, where the neural network is trained using training data that includes time series data segmented into windows. Observed time series data can be processed to generate the input data. Using the trained neural network and the generated input data, data predictions can be generated. The predictions can be provided to a reinforcement learning model configured to generate predicted outcomes, where the reinforcement learning model varies parameters to simulate conditions for a first and second entity, and an artificial intelligence agent simulates actions performed by one of the first and second entities, the data predictions being a parameter for the simulation. Parameters for the first and second entities can be selected, where the selected parameters correspond to a predicted outcome that meets a criteria.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating descriptions of input images. One of the methods includes obtaining an input image; processing the input image using a first neural network to generate an alternative representation for the input image; and processing the alternative representation for the input image using a second neural network to generate a sequence of a plurality of words in a target natural language that describes the input image.

Abstract: A computer-implemented method is disclosed. The method may include receiving, at a neuron of an artificial neural network, a sequence of synapse messages. Each synapse message may include a timestamp of the time the synapse message was sent. The method may include determining, based on the timestamp of each synapse message, whether the neuron processed the sequence of synapse messages out of order with respect to the timestamps. The method may include, in response to the neuron processing the sequence of synapse messages out of order, reverse-computing at least one computation performed by the neuron in response to processing the sequence of synapse messages out of order. The method may include performing the at least one computation based on receipt of the sequence in a correct order as determined by the timestamp of each synapse message in the sequence of synapse messages.

Abstract: A system for communicating postsynaptic neuron states. The system includes a first neuromorphic core and a second neuromorphic core. The first neuromorphic core includes a first array of synaptic memory cells and postsynaptic neuron circuits. Each of the postsynaptic neuron circuits is coupled to a row of synaptic memory cells in the first array of synaptic memory cells. Each of the postsynaptic neuron circuits is configured to fire when voltage sensed from the row of synaptic memory cells exceeds a threshold. The second neuromorphic core includes a second array of synaptic memory cells. A neuron bus is configured to serially transmit indications of a postsynaptic neuron circuit fire from the first neuromorphic core to the second neuromorphic core.

Abstract: A neural network unit convolves a H×W×C input with F R×S×C filters to generate F Q×P outputs. N processing units (PU) each have a register receiving a memory word and a multiplexed-register selectively receiving a memory word or word rotated from an adjacent PU multiplexed-register. The N PUs are logically partitioned as G blocks each of B PUs. The PUs convolve in a column-channel-row order. For each filter column: the N registers read a memory row, each PU multiplies the register and the multiplexed-register to generate a product to accumulate, and the multiplexed-registers are rotated by one; the multiplexed-registers are rotated to align the input blocks with the adjacent PU block. This is performed for each channel. For each filter row, N multiplexed-registers read a memory row for the multiply-accumulations, F column-channel-row-sums are generated and written to the memory, then all steps are performed for each output row.

Abstract: A computer system, comprising: one or more processors; and a memory coupled to the one or more processors, wherein the computer system is programmed with a set of computer-readable instructions configured to implement a method for determining a drill site in a shale, tight gas sands, coal bed methane or other unconventional well field for an oil or gas well and one or more parameter settings therefore, the computer-readable instructions comprising: one or more data mining instructions for data mining of a first part of a set of measurement or objective data parameters from existing oil or gas wells in the well field that, when executed, produce a ranking of each parameter and its respective effect on oil or gas well production from the well field; one or more training instructions that, when executed, produce a model comprising an artificial neural network (ANN) trained with the first part of the set of measurement or objective data parameters and/or the ranking that is useful for producing a group of optimiz

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural network layer.

Abstract: An intelligent control system based on an explicit model of cognitive development (Table 1) performs high-level functions. It comprises up to O hierarchically stacked neural networks, Nm, . . . , Nm+(O?1), where m denotes the stage/order tasks performed in the first neural network, Nm, and O denotes the highest stage/order tasks performed in the highest-level neural network. The type of processing actions performed in a network, Nm, corresponds to the complexity for stage/order m. Thus N1 performs tasks at the level corresponding to stage/order 1. N5 processes information at the level corresponding to stage/order 5. Stacked neural networks begin and end at any stage/order, but information must be processed by each stage in ascending order sequence. Stages/orders cannot be skipped. Each neural network in a stack may use different architectures, interconnections, algorithms, and training methods, depending on the stage/order of the neural network and the type of intelligent control system implemented.

Abstract: An apparatus comprises a memory and a processor device operatively coupled to the memory. The processor device is configured to receive a set of process metrics, evaluate the set of received process metrics to determine a set of process classifications, determine a set of process parameters, and generate one or more processes based at least in part on the set of process parameters and the set of process classifications, each of the one or more processes having respective sets of process metrics similar to the set of received process metrics.

Abstract: The present disclosure describes a system, method, and computer program for modeling and predicting energy use by non-plug-load mechanical/electrical systems in a building, such as lighting systems or HVAC systems. The present disclosure also discloses methods for using such models and predictions to identify energy saving measures for a building. An energy-consumption model for a building is built from energy-consumption models for components within the mechanical-electrical systems. Inputs to the energy-consumption model (i.e., values of variables in the energy-consumption model) are measurable, and behavior models are created for each of the inputs primarily from sensor and/or other measurement-device data. Using the behavior models, weather data, and the energy-consumption model for the building, a predicted non-plug-load energy use for the building is calculated based on the current configurations of the mechanical/electrical systems.

Abstract: A computer-implemented technique is described herein for training a personal digital assistant (PDA) component and a simulated user (SU) component via a self-learning strategy. The technique involves conducting interactions between the PDA component and the SU component over the course of plural dialogs, and with respect to plural tasks. These interactions yield training data. A training system uses the training data to generate and update analysis components used by both the PDA component and the SU component. According to one illustrative aspect, the SU component is configured to mimic the behavior of actual users, across a range of different user types.

Abstract: Conversation user interfaces that are configured for virtual assistant interaction may include tasks to be completed that may have repetitious entry of the same or similar information. User preferences may be learned by the system and may be confirmed by the user prior to the learned preference being implemented. Learned preferences may be identified in near real-time on large collections of data for a large population of users. Further, the learned preferences may be based at least in part on previous conversations and actions between the system and the user as well as user-defined occurrence thresholds.

Abstract: A method, system, and/or computer program product establish a data organization format for displaying data to a specific user. A first set of data, which is organized according to a user-selected data organization format, is received from a user. A cognition bias, which defines a preferred manner in which the user cognitively interprets data, is identified by being associated with the user-selected data organization format. The cognition bias is also associated with one or more other data organization formats that support the cognition bias. A second set of data is received and formatted using the one or more other data organization formats that also support the cognition bias. The second set of data is then displayed using the one or more data organization formats that also support the cognition bias.

Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

Abstract: Systems and methods for probabilistic semantic sensing in a sensory network are disclosed. The system receives raw sensor data from a plurality of sensors and generates semantic data including sensed events. The system correlates the semantic data based on classifiers to generate aggregations of semantic data. Further, the system analyzes the aggregations of semantic data with a probabilistic engine to produce a corresponding plurality of derived events each of which includes a derived probability. The system generates a first derived event, including a first derived probability, that is generated based on a plurality of probabilities that respectively represent a confidence of an associated semantic datum to enable at least one application to perform a service based on the plurality of derived events.

Abstract: The present disclosure relates generally to computational solution algorithms (and associated systems and methods) applied to a stochastic unit commitment problem. In one example, the computational solution algorithms (and associated systems and methods) may be applied to the energy industry.

Abstract: Embodiments relate to facilitating a meeting. A method for reducing an amount of communications to analyze in order to determine a cognitive state of an entity is provided. The method determines a first likelihood of an entity to have a particular cognitive state based on a set of physiological measures of the entity. The method receives communications from the entity. The method generates a graph of communications of the entity. The method performs a graphical text analysis on the graph to determine a second likelihood of the entity to have the particular cognitive state. The method determines whether the entity has the particular cognitive state based on the first likelihood and the second likelihood.

Abstract: An apparatus for assessing goal attainment may include a preprocessor configured to define a goal of process, all probable final results, attributes, a process execution period, and time points of assessment, acquire or check attribute values from one or more historical process instances that match the defined goal of process, all the defined probable final results, the defined attributes, the defined process execution period, and the defined time point of assessment, and extract one or more event profiles from the attribute values of the process instances; and a likelihood calculator configured to calculate prior and posterior probabilities of an ongoing process instance based on the extracted event profiles, and calculate a probability that the ongoing process instance attains each probable final result according to each time point, using the calculated prior and posterior probabilities at the defined time point of assessment.

Abstract: Generating a computing specification to be executed by a quantum processor includes: accepting a problem specification that corresponds to a second-quantized representation of a fermionic Hamiltonian, and transforming the fermionic Hamiltonian into a first qubit Hamiltonian including a first set of qubits that encode a fermionic state specified by occupancy of spin orbitals. An occupancy of any spin orbital is encoded in a number of qubits that is logarithmic in the number of spin orbitals, and a parity for a transition between any two spin orbitals is encoded in a number of qubits that is logarithmic in the number of spin orbitals. An eigenspectrum of a second qubit Hamiltonian, including the first set of qubits and a second set of qubit, includes a low-energy subspace and a high-energy subspace, and an eigenspectrum of the first qubit Hamiltonian is approximated by a set of low-energy eigenvalues of the low-energy subspace.

Abstract: Resource allocation for machine learning is described such as for selecting between many possible options, for example, as part of an efficient training process for random decision tree training, for selecting which of many families of models best describes data, for selecting which of many features best classifies items. In various examples samples of information about uncertain options are used to score the options. In various examples, confidence intervals are calculated for the scores and used to select one or more of the options. In examples, the scores of the options may be bounded difference statistics which change little as any sample is omitted from the calculation of the score. In an example, random decision tree training is made more efficient while retaining accuracy for applications not limited to human body pose detection from depth images.

Abstract: There is provided an information processing apparatus including: evaluation information extracting means extracting evaluation information from evaluation of every user for an item; preference information creating means for creating preference information indicating a preference of every user on the basis of the evaluation information extracted by the evaluation information extracting means and an item characteristic amount indicating a characteristic of the item; space creating means for creating a space in which the user is located, according to the preference information; and display control means for controlling display of the user located in the space, according to the space created by the space creating means and the preference information. The apparatus may be applied to, for example, an image display apparatus which displays server images for providing a variety of items and information.

Abstract: Some embodiments include an experiment management interface for a machine learning system. The experiment management interface can manage one or more workflow runs related to building or testing machine learning models. The experiment management interface can receive an experiment initialization command to create a new experiment associated with a new workflow. A workflow can be represented by an interdependency graph of one or more data processing operators. The experiment management interface enables definition of the new workflow from scratch or by cloning and modifying an existing workflow. The workflow can define a summary format for its inputs and outputs. In some embodiments, the experiment management interface can automatically generate a comparative visualization at the conclusion of running the new workflow based on an input schema or an output schema of the new workflow.

Abstract: The disclosed embodiments illustrate methods and systems for predicting requirements of a user for resources. The method includes transforming a message posted by the user into a first message vector. The method further includes categorizing one or more first message vectors into one or more categories. The method further includes transforming each of the categorized first message vectors into one or more second message vectors using a wavelet transform technique. The method further includes determining, for each of the categorized first message vectors, a first score based on at least a probability distribution of one or more coefficients associated with each associated feature. The method further includes selecting a predefined number of features based on at least the first score. The method further includes training one or more classifiers on the selected predefined number of features to identify at least the one or more needs of the user.

Abstract: In an example, there is disclosed a computing apparatus, including one or more logic elements comprising a classification engine operable to identify at least one overlapping class pair comprising at least two classes selected from a class group, wherein the overlapping class pair may be characterized by a substantial mutual false positive rate; and assign an object to at least one assigned class selected from the class group.

Abstract: Methods and systems for refining a process model include determining whether the process model is too dense or too sparse. A predictive model is learned from execution traces to predict an outcome. The predictive model is modified responsive to the determination of whether the process model is too dense or too sparse. A refined process model is refined from updated traces based on attributes present in the modified predictive model.

Abstract: Generating distractors for text-based MCT items. An MCT item stem is received. The stem is transmitted to a QA system and a plurality of candidate answers related to the stem is received from the QA system. Incorrect answers in the plurality of candidate answers are identified. Textual features are extracted from the stem. A set of semantic criteria associated with the extracted textual features is generated. Based on the generated semantic criteria, a subset of the incorrect candidate answers is selected.

Abstract: This disclosure relates to automating execution of operational tasks in an enterprise network. The method includes segregating a plurality of operational tasks into a plurality of task categories. Thereafter, the method includes mapping each of the plurality of operational tasks to at least one operation pattern based on associated task category from the plurality of task categories, in response to the segregating. The method further includes processing at least one of the plurality of operational tasks based on the at least one operation pattern mapped. Based on the processing, the method includes invoking automatically at least one utility to execute each of the at least one operational task.

Abstract: A vehicle weather damage-prevention system is provided. The system may include a vehicle computing device associated with a vehicle, a covered parking location (CPL) computing device associated with a covered parking location, and an insurance computing device. The vehicle computing device may receive weather data and determine whether the vehicle is affected by inclement weather. The vehicle computing device may receive from the CPL computing device information indicating whether the covered parking location has available parking spots. The vehicle computing device may transmit a request to the CPL computing device to reserve a parking spot. The CPL computing device may selectively permit the vehicle access to the covered parking location. The insurance computing device may monitor the vehicle computing device and/or the CPL computing device and determine if an insurance policy is eligible for insurance-related benefits based upon a usage profile of the vehicle or the covered parking location.