Abstract: A information bearing device into which several wires or a cable can be disposed, for the display of 2D bar code information pertaining to the wires or cable. The device includes a first engaging portion which has a flat base, and a second receiving portion for disposing the device on wire(s)/cable or other item. QR code or micro QR code or data matrix indicia concerning said item is printed on a tab which is applied to the engaging portion's flat base. Subsequent to closure, the information can be read by QR/data matrix code readers, cameras and smart phones. A clear protective cover layer may be added over the tab.

Abstract: A method of generating a readable matrix code image encoding a message based on an input image and a readable matrix coding specification, comprising: calculating function areas readable to comply with a function patterns specification; determining an extent of free cells and derived cells according to a code word specification; calculating decode input values for free cells such that the appearance of the free cells compared to respective areas of the input image complies with a visual perceptual similarity criterion and with the code word specification; and calculating decode input values for derived cells based on the free cells decode input values and in compliance with the code word specification.

Abstract: Barcodes are provided that are applied to or integrated with a moving carrier, where the barcodes have a plurality of information modules, at least one clock track having a plurality of alternating clock track modules and at least one reference track having a plurality of alternating reference track modules, where the at least one reference track is a second clock track and has a same periodicity as the clock track but a spatial phase shift when compared to the clock track. The barcode is configured to allow at least one barcode reader to determine a direction of movement of the carrier from at least one signal from a clock track detector and at least one signal from a reference detector.

Abstract: The present disclosure is directed to a system and method for switching between internal and external antennas. In some implementations, a system includes an antenna, a connector, and a housing. The antenna is configured to communicate wirelessly transactions with transaction terminals. The connector is connected to the antenna and configured to connect a transaction card to the antenna in response to at least insertion in the housing. The housing enclosing at least a portion of the antenna and at least a portion of the connector and including one or more elements that form an opening for receiving the transaction card. In addition, the housing is substantially rectangular and includes a first portion with a first thickness and a second portion with a second thickness different from the first thickness and at least the thickness of the transaction card.

Abstract: A smart card is provided, including an external connector formed of an insulating support and a plurality of external metal contact pads arranged on an external face of the support, and a card body having a housing in which the external connector is arranged and includes an electronic unit and/or an antenna electrically connected to a plurality of internal metal contact pads arranged underneath the external connector and respectively aligned with the external pads. The external pads are respectively electrically connected to the internal pads by a plurality of metal parts, which are each at least partially formed by a solder material and which traverse the insulating support through respective apertures. The metal parts are respectively covered by the external pads, which close the apertures on the external face of the support, and respectively form connecting bridges between rear surfaces of the external pads and the internal pads.

Abstract: Systems and methods achieving scalable and efficient connectivity in neural algorithms by re-calculating network connectivity in an event-driven way are disclosed. The disclosed solution eliminates the storing of a massive amount of data relating to connectivity used in traditional methods. In one embodiment, a deterministic LFSR is used to quickly, efficiently, and cheaply re-calculate these connections on the fly. An alternative embodiment caches some or all of the LFSR seed values in memory to avoid sequencing the LFSR through all states needed to compute targets for a particular active neuron. Additionally, connections may be calculated in a way that generates neural networks with connections that are uniformly or normally (Gaussian) distributed.

Abstract: The disclosed embodiments relate to a system that selectively propagates information through a neuromorphic circuit comprising a set of interconnected neurons. During operation, a neuron in the set of neurons receives information-carrying current pulses from one or more upstream information-carrying neurons, wherein the information-carrying current pulses are insufficient to cause the neuron to generate output current pulses. The neuron also receives selectively generated gating current pulses from one or more gating neurons, wherein the gating current pulses cause a neural voltage of the neuron to approach a firing threshold. In this way, concurrently received information-carrying current pulses combine with the gating current pulses to cause the neural voltage to exceed the firing threshold, which causes the neuron to generate output current pulses that propagate to downstream neurons.

Abstract: A dynamic time-evolution Boltzmann machine capable of learning is provided. Aspects include acquiring a time-series input data and supplying a plurality of input values of input data of the time-series input data at one time point to a plurality of nodes of the mode. Aspects also include computing, based on an input data sequence before the one time point in the time-series input data and a weight parameter between each of a plurality of input values of input data of the input data sequence and a corresponding one of the plurality of nodes of the model, a conditional probability of the input value at the one time point given that the input data sequence has occurred. Aspects further include adjusting the weight parameter so as to increase a conditional probability of occurrence of the input data at the one time point given that the input data sequence has occurred.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes obtaining partitioned training data for the neural network, wherein the partitioned training data comprises a plurality of training items each of which is assigned to a respective one of a plurality of partitions, wherein each partition is associated with a respective difficulty level; and training the neural network on each of the partitions in a sequence from a partition associated with an easiest difficulty level to a partition associated with a hardest difficulty level, wherein, for each of the partitions, training the neural network comprises: training the neural network on a sequence of training items that includes training items selected from the training items in the partition interspersed with training items selected from the training items in all of the partitions.

Abstract: Methods and systems for training a neural network include pre-training a bi-linear, tensor-based network, separately pre-training an auto-encoder, and training the bi-linear, tensor-based network and auto-encoder jointly. Pre-training the bi-linear, tensor-based network includes calculating high-order interactions between an input and a transformation to determine a preliminary network output and minimizing a loss function to pre-train network parameters. Pre-training the auto-encoder includes calculating high-order interactions of a corrupted real network output, determining an auto-encoder output using high-order interactions of the corrupted real network output, and minimizing a loss function to pre-train auto-encoder parameters.

Abstract: A technique for caching evidence for answering questions in a cache memory of a data processing system (that is configured to answer questions) includes receiving a first question. The first question is analyzed to identify a first set of characteristics of the first question. A first set of evidence for answering the first question is loaded into the cache memory. A second question is received. The second question is analyzed to identify a second set of characteristics of the second question. A portion of the first set of evidence, whose expected usage in answering the second question is below a determined threshold, is unloaded from the cache memory.

Abstract: An analysis system includes correlation value calculations indicating aggressive social behaviors within a specified geography performed by using computer software that quantifies keywords identified in data sources such as social media. The correlation values are calculated using a multidimensional framework, the first level of dimensions consisting of subjects such as politics, crime and terrorism, economics, and religion. Within each of the first level dimensions are sub-dimensions consisting of human behaviors such as aggression, optimism, pessimism, and pacifism. The correlation values are calculated and presented as measures of behaviors within a specified geography by using computer software to perform a proprietary algorithm.

Abstract: Provided is a data processing apparatus creates teacher data used for learning of a machine learning system by classifying data extracted from time series data on the basis of a specific reference. The data processing apparatus includes a data extraction unit which extracts a candidate of teacher data, from time series data, a teacher data creation unit which creates the teacher data based on a label to classify the candidate of teacher data, and the candidate of teacher data which are labeled, and a teacher data complement unit which further extracts the candidate of the teacher data from the time series data that exists between a specific candidate of the teacher data at a specific timing and one of other candidates of the teacher data at a timing different from the specific timing, based on a degree of a variation between these candidates of the teacher data.

Abstract: Systems and methods for aggregating classifications of predictive operations of a machine may include one or more sensors in communication with a processor. Such systems and methods may be implemented to receive on-board machine time series data, process the data, segment the processed data, resolve the segmented data, and characterize the segmented data. Additionally, such systems and methods may be implemented to determine profile percentage breakdowns of a machine, performance reports, and productivity reports, and inform composite work cycles.

Abstract: A method, system and computer program product for determining whether the social learning playlist is effective in educating participants. The text of the collection of online materials of a social learning playlist is scanned to identify key concepts (i.e., the most important points) using natural language processing. The user selects a concept from a list of key concepts, which includes these identified key concepts, and a type of question (e.g., true/false) to be used in assessing the understanding of the selected key concept. The selected type of question and answer to the question are generated using analytic analysis and artificial intelligence on the online materials of the playlist. In this manner, by generating appropriate question and answer pairs, where the questions are inserted at selected locations within the playlist, the creator of the playlist is able to assess whether the participants are understanding the key concepts in the playlist.

Abstract: Accordingly the embodiments herein achieve a method and apparatus for estimating power consumption based on a temperature. The method includes dividing a use time and a non-use time based on an analysis of a correlation of a determined temperature and a power consumption based on the determined temperature. Further, the method includes extracting a base consumption of an electrical apparatus based on power consumption during the non-use time. Further, the method includes extracting a threshold temperature and a power consumption continuous function based on the threshold temperature and power consumption. The threshold temperature requires a maximum operation of the electrical apparatus. Furthermore, the method includes calculating the power consumption based on a predetermined temperature from the power consumption continuous function; and calculating an estimated power consumption except for the base consumption.

Abstract: A media control system enables a device-agnostic and source-agnostic entertainment experience through use of an internet-enabled user device. The user device includes a client application for navigating through media or entertainment content, controlling media devices according to a type of media content selected by the user, and sharing media experiences via social networks. The user device includes smartphones, tablet computers, and other internet-enabled processor-based devices. The media control system leverages the internet access of the user device to enable search and discovery of all available media content. A recommendation engine coupled to the client application learns media preferences from user behavior, generates from numerous disparate media sources recommended media choices corresponding to the media preferences, and presents the recommended media choices on the user device.

Abstract: A generation apparatus generates gain vectors for calculating cumulative expected gains for a transition model in which transition from a current state to a next state occurs in response to an action. The apparatus includes: an acquisition section that acquires gain vectors for a time point next to a target time point that includes cumulative expected gains for and after the next time point for each state at the next time point; a first determination section that determines a value of a transition parameter used for transitioning from the target time point to the next time point, from a valid range of the transition parameter, based on the cumulative expected gains obtained for the gain vectors for the next time point; and a first generation section that generates gain vectors for the target time point from the gain vectors for the next time point, using the transition parameter.

Abstract: A method for determining a variable near-optimal policy for a problem formulated as Markov Decision Process, the problem comprising at least one limited action entry, the limited action entry being an entry of an action of a finite set of actions limited in the number of times its value may be changed, the method comprising using at least one hardware processor for: receiving data elements with respect to the problem, the data elements comprising: (a) a finite set of states, (b) the finite set of actions, (c) a transition probabilities matrix determining transition probabilities between states of the finite set of states, once actions of the set of actions are performed; (d) an immediate cost function, wherein the value of the immediate cost function is determined for a pair of a state of the finite set of states and an action of the finite set of actions, and (e) a discount factor; updating one or more data elements of the received data elements relating to the at least one limited action entry, wherein the

Abstract: A method of website optimization including collecting data for constructing user profiles; constructing the user profiles; quantifying affinities between the user profiles; constructing a user network in which the affinities are represented as links between user nodes; constructing an adjacency matrix; calculating a first principal eigenvector of the adjacency matrix; defining a new network by removing a random link in the network and calculating a new adjacency matrix for the new network; calculating a second principal eigenvector of the new adjacency matrix; calculating a vector of relative shifts between the first principal eigenvector and the second principal eigenvector; for every node, assigning a value for a direction of its shift between the network and the new network; and repeating certain of the steps.

Abstract: Techniques for inferring the identity (e.g., member profile attributes) of members of an online social network service are described. According to various embodiments, a member profile attribute missing from a member profile page associated with a particular member of an online social network service is identified. Member profile data and behavioral log data associated with a plurality of members of the online social network service is then accessed. Thereafter, a prediction modeling process is performed, based on a prediction model and feature data including the member profile data and the behavioral log data, to generate a confidence score associated with the particular member and the missing member profile attribute, the confidence score indicating a likelihood that the missing member profile attribute corresponds to a candidate value.

Abstract: Automatic relationship extraction is provided. A machine learning approach using statistical entity-type prediction and relationship predication models built from large unlabeled datasets is interactively combined with minimal human intervention and a light pattern-based approach to extract relationships from unstructured, semi-structured, and structured documents. Training data is collected from a collection of unlabeled documents by matching ground truths for a known entity from existing fact databases with text in the documents describing the known entity and corresponding models are built for one or more relationship types. For a modeled relationship-type, text chunks of interest are found in a document. A machine learning classifier predicts the probability that one of the text chunks is the entity being sought.

Abstract: A connection between a user device and a network server is established. Via the connection, a deep learning network is formed for a processing task. A first portion of the deep learning network operates on the user device and a second portion of the deep learning network operates on the network server.

Abstract: Techniques for automatically or autonomously performing signal processing-based learning in a process plant are disclosed. Generally, said techniques automatically or autonomously perform signal processing on a real-time signal that is generated based on the process plant controlling a process. Typically, the signal corresponds to a parameter value that varies over time, and the signal is processed as it is generated in real-time during on-line plant operations. Results of the signal processing may indicate characteristics of the signal, and one or more analytics functions may determine the sources of the characteristics, which may include a process element or device, a piece of equipment, and/or an asset of the process plant that is upstream, within the process, of the source of the signal. An autonomous signal processor may be integrated with or included in a process control device and/or a big data node of the process plant.

Abstract: An information processing apparatus includes a history acquisition section configured to acquire history data including a history indicating that a plurality of selection subjects have selected selection objects; a learning processing section configured to allow a choice model to learn a preference of each selection subject for a feature and an environmental dependence of selection of each selection object in each selection environment using the history data, where the choice model uses a feature value possessed by each selection object, the preference of each selection subject for the feature, and the environmental dependence indicative of ease of selection of each selection object in each of a plurality of selection environments to calculate a selectability with which each of the plurality of selection subjects selects each selection object; and an output section configured to output results of learning by the learning processing section.

Abstract: Methods and systems for determining the preferences of hosts offering accommodations are disclosed. In one embodiment, an online booking system models the preferences of hosts based on statistical relationships between features of previously received accommodation reservation requests and the acceptance of those reservation requests by the hosts. In particular, the system classifies reservation requests based on several features—a reservation request either possesses a feature or does not possess a feature. The preference of a host for a particular request feature is modeled based on the relationship between the reservation requests that possess the feature and the reservation requests that are accepted by the host.

Abstract: System for optimal matching of ride sharing requests. A trip request manager receives trip requests from patrons and a shareability network is established. The system checks to see whether certain parameters related to ride-sharing delays are less than or equal to other parameters to decide whether trips are shareable.

Abstract: A methods and apparatuses for creating a federated multidimensional business planning model may comprise: creating, via a computing device, a first multidimensional business planning model; creating, via a computing device, a second multidimensional business planning model; integrating, via a computing device, the first multidimensional business planning model with the second multidimensional business planning model, wherein the integrating comprises mapping, via a computing device, dimensions of the first multidimensional business planning model to the second multidimensional business planning model, utilizing user input through a model map spreadsheet worksheet defining, via a computing device, at least one source dimension in the first multidimensional business planning model corresponding with at least one target dimension in the second multidimensional business planning model.

Abstract: A system, apparatus or product for the management and evaluation of potential events. The method comprising: obtaining potential event specifications and obtaining control specifications defining controls. A potential event specification defines an initial evaluation of a potential event and an effect of different evaluations of the potential event on the evaluation of one or more other potential events. A control specification defines potential findings for a control. The control specification defines for each potential finding an effect on an evaluation of one or more potential events. The method further comprises obtaining findings of performing monitoring of the controls, and determining a modified evaluation for each potential event as a modification of the initial evaluation of the potential event. The modified evaluation is based on an aggregated effect of findings and of other potential events on the potential event, in accordance with the potential event specification and the control specification.

Abstract: Techniques are described for operational workforce planning tool. The planning tool can be utilized by a manager to analyze an existing workforce plan. A manager within the organization can adjust the workforce plan based on planning criteria. The adjustments can be stored as planning tasks of the workforce plan. Changes made to the workforce by a lower level manager can be rolled up to an upper level manager for review and approval before the changes are finalized. Furthermore, upper level managers can generate sub-plans for lower level managers. Sub-plans can include planning criteria that is created by an upper level manager for a lower level manager. The lower level managers can report back to the upper level manager on the completion of the sub-plan when the lower level manager rolls up his changes to the workforce plan for the manager to review.

Abstract: A data quality analysis tool and method for determining the business impact of a data set utilizing weighting and rule priority. The data quality analysis tool including a Rules Engine and a Scoring Engine. The Scoring Engine is configured to i) for each specific rule that has been met, determine a business impact score, ii) apply a weighting factor to each of the business impact scores to obtain a weighted business impact for each of the at least one specific rules, and iii) compute priority of the weighted business impact scores into a total business impact score.

Abstract: An interactive business lifecycle management system is disclosed which provides intuitive views of business programs, program performance, operations status, and compliance status. The interactive business lifecycle management system provides near real-time status, process analytics, business portfolio management, compliance and governance functions over business operations, and delivers program lifecycle management functions complete with comprehensive business program analysis capabilities and governance program compliance analysis. In this way, the interactive business lifecycle management system enables business leaders to perform business operations while satisfying governance compliance objectives.

Abstract: Systems, computer-implemented methods and non-transitory computer-readable storage medium are provided for updating a project schedule by creating task primacy relationships between tasks in projects that follow the critical path method. Creation of task primacy relationships involves the identification of a primary task and at least one related subordinate task. During the calculation of the forward pass and/or the backward pass, the working calendar of the subordinate task is amended to exclude the working time from the primary task.

Abstract: Systems and methods for managing a resource are disclosed. Resource may include vendors, suppliers, partners and the like. The systems allow users to conduct a weighted analysis of various resources and compare multiple resources on the same scale. Moreover, the systems are configured to grade various resources based on their strategic value to a business. This analysis and the resulting strategic value may be based on qualitative data provided by users and quantitative data captured from the business relationship between the business and the resource.

Abstract: Techniques are described for operational workforce planning tool. The planning tool can be utilized by a manager to analyze an existing workforce plan. A manager within the organization can adjust the workforce plan based on planning criteria. The adjustments can be stored as planning tasks of the workforce plan. Changes made to the workforce by a lower level manager can be rolled up to an upper level manager for review and approval before the changes are finalized. Furthermore, upper level managers can generate sub-plans for lower level managers. Sub-plans can include planning criteria that is created by an upper level manager for a lower level manager. The lower level managers can report back to the upper level manager on the completion of the sub-plan when the lower level manager rolls up his changes to the workforce plan for the manager to review.

Abstract: A comprehensive platform for developing digital products. A standardized process is applied to a product development effort and an online portal provides tools to aid the product development, assessment, funding and commercializing products. Project management, workflow and data security functionality enable consistent, efficient and secure interactions between users. Business rules, workflows, valuation models and rating methods may be user defined or based upon marketplace, industry or technology standards.

Abstract: A system and method is disclosed for optimizing supply chain planning problems associated with a supply chain network. The system includes a supply chain planner coupled with one or more supply chain entities. The supply chain planner determines a supply chain plan for managing the flow of one or more items through the supply chain network.

Abstract: A business process framework (BPF) may be used to provide a vendor agnostic interface to allow one or more business users to design, deploy, test and/or monitor an operation of one or more business processes using a common user interface. The BPF may allow a user access to a business process management (BPM) system using a common interface, regardless of a vendor or version of BPM system being used by a business organization. The BPF may include a business process modeling interface allowing the business user to model, via the common user interface, regardless of the version or vendor of the BPM system product being used. The BPF may also include an execution interface capable of communicating with an execution engine included in different BRMS products. The execution interface may include a translator to translate a business model into a format compatible with each of a plurality of execution engines.

Abstract: A server has a processor and a memory storing instructions executed by the processor to access scheduling tools including an entity workload profile with a work flow tasks schedule and work flow task dependencies. Processed data associated with a work flow task within the entity workload profile is identified. The work flow task dependencies are analyzed to alter the work flow tasks schedule to prioritize work flow tasks that rely upon the processed data.

Abstract: Contact centers continually monitor the performance of their resources (e.g., human and automated agents) used for processing work items. An agent with a primary skill receives a flow of work items each having an attribute associated with that particular primary skill. However, agents often have non-primary skills and may serve as a backup for other agents. Measuring the agent's skill level with respect to a non-primary skill allows agents to be scored and potentially identified as having the skill as a primary skill. Selectively providing agents with non-primary work items and monitoring the agent's performance with those work items provides a means to assess an agent's non-primary skill using real work items and without the need for testing resources.

Abstract: A method and apparatus for identifying a vitality for a workforce is presented. Groups of people in the workforce are selected based on a number of characteristics about the groups. A model for the vitality for the groups of people is generated by a computer system from payroll data for the groups. The model shows the vitality for the groups of people as a measure of performance for the groups based on the payroll data. Proportions of the payroll data for the groups of people in the payroll data are identified by the computer system. The model is adjusted by the computer system based on a difference between the proportions of the payroll data and desired proportions of the payroll data for the groups of people in the payroll data. The model has a desired level of accuracy and enables changing the workforce based on an analysis using the model.

Abstract: Systems are provided for the automatic analysis of skills in a contact center. More particularly to skills that are available, skills that are requested, and the difference between the two. The system may then determine a number of solutions that, if implemented by the contact center, would allow the contact center to have the skill differential. A decision is then made whereby a factor is utilized to select the more optimal solution from the number of solutions.

Abstract: Techniques are described for operational workforce planning tool. The planning tool can be utilized by a manager to analyze an existing workforce plan. A manager within the organization can adjust the workforce plan based on planning criteria. The adjustments can be stored as planning tasks of the workforce plan. Changes made to the workforce by a lower level manager can be rolled up to an upper level manager for review and approval before the changes are finalized. Furthermore, upper level managers can generate sub-plans for lower level managers. Sub-plans can include planning criteria that is created by an upper level manager for a lower level manager. The lower level managers can report back to the upper level manager on the completion of the sub-plan when the lower level manager rolls up his changes to the workforce plan for the manager to review.

Abstract: Disclosed are examples of systems, apparatus, methods and computer program products that relate to a customizable skills database. For example, a skills database storing customizable data objects identifying skills of user can be maintained. The skills can comprise organization-defined skills, user-defined skills, and endorsements of users having skills. It can be determined, using the skills database, that a first communication received from a device associated with a user of the skills database is related to one or more of the data objects. One or more computer-implemented actions to be performed based on the determination that the first communication is related to the one or more data objects can be determined. The one or more computer-implemented actions can be performed.

Abstract: Techniques are described for operational workforce planning tool. The planning tool can be utilized by a manager to analyze an existing workforce plan. A manager within the organization can adjust the workforce plan based on planning criteria. The adjustments can be stored as planning tasks of the workforce plan. Changes made to the workforce by a lower level manager can be rolled up to an upper level manager for review and approval before the changes are finalized. Furthermore, upper level managers can generate sub-plans for lower level managers. Sub-plans can include planning criteria that is created by an upper level manager for a lower level manager. The lower level managers can report back to the upper level manager on the completion of the sub-plan when the lower level manager rolls up his changes to the workforce plan for the manager to review.

Abstract: Techniques are described for facilitating delivery and adjustments of customer orders at a customer delivery site. A delivery courier is assigned a mobile field computing device for facilitating delivery and order adjustments of customer orders associated with that courier's delivery route. The mobile field computing device includes memory for storing customer order history data and delivery route data downloaded from a server system. The delivery route data stored in the mobile field computing device may be used by the delivery courier to facilitate delivery of the customer orders. Further, the delivery courier may use the mobile field computing device to process a variety of different order adjustment transactions at a customer delivery site.

Abstract: A cloud based package transfer system is discussed that has a cloud based package-exchange-service hosted on a cloud based provider site. The cloud based package-exchange-service supplies servers and databases of retail websites with information regarding services for package exchange available to customers and their associated vehicles. The information enables a retail website to present a checkbox, the presented checkbox enables a customer at a checkout point of the purchase from the retail website to select an alternative package delivery option of delivering the purchased products to a target vehicle of the customer. The package-exchange-service receives purchase information from the retail websites and use purchase information to create database records for completed delivery operations.

Abstract: A device includes a code that is interpretable to identify a three-dimensional (3D) design specification by which a replacement for the device can be printed on a 3D printer.

Abstract: A system that creates an inventory organization within an electronic business system is provided. The system receives a request to create the inventory organization. The system further displays an electronic template within a graphical user interface, the electronic template including inventory organization fields. The system further receives attributes of the inventory organization that are input within the inventory organization fields of the electronic template. The system further validates the attributes of the inventory organization. The system further generates inventory organization data based on the attributes of the inventory organization and rules, the inventory organization data including the attributes of the inventory organization. The system further populates the inventory organization data into a database of the electronic business system.

Abstract: An RFID inventory system for vending containers is provided. The system includes a modular vending unit including a rotatable RFID-tagged container storage and dispensing unit, capable of incrementally rotating and locking in predetermined positions, comprising multiple discrete storage volumes each configured to contain a single RFID-tagged container, and an access means for accessing the interior of the rotatable RFID-tagged container storage and dispensing unit, capable of switching between a locked and an unlocked state, and configured to cooperate with the rotatable storage and dispensing unit.