Abstract: Method and system for capturing summaries of data flows in an electronic, packet-switched communication network, the method comprising: receiving, from a node of the communication network, packet flow data; obtaining a subset of the packet flow parameters (IP src, IP dst, port src, port dst, protocol), based on the packet flow data; obtaining a packet flow statistic, based on the packet flow data; updating a collection of stored packet flow summaries, based on a subset of the packet flow parameters and the packet flow statistic. The stored packet flow summaries are arranged as nodes in a tree data structure.

Abstract: A method includes obtaining multiple inputs associated with a worker in a manufacturing environment. The method also includes performing a fuzzy logic process on the multiple inputs to generate multiple outputs, where the multiple outputs are associated with performance by the worker of a task in the manufacturing environment. The method further includes providing instructions to an electronic device to display a specified output among the multiple outputs while the worker performs the task in the manufacturing environment, where the specified output includes instruction information for performing the task.

Abstract: An apparatus for extracting object information according to one embodiment includes: a padding image generator for generating a padding image including an original image; a partial image acquirer for acquiring a plurality of partial images of the padding image; an object classification result acquirer for acquiring an object classification result for each of the plurality of partial images using an object classification model; a confidence map generator for generating a confidence map having a size the same as that of the padding image and including a confidence value on the basis of the object classification result; and an object information acquirer for acquiring information on an object in the padding image on the basis of the confidence map.

Abstract: An object detection device equipped with: a first object detection unit that uses a predetermined prediction model to acquire, from a known first image for which the coordinates of a detection subject are known, a confidence value with respect to each detection region extracted from a plurality of positions in the first image; a parameter determination unit that, on the basis of the acquired confidence value, determines parameters that include a detection threshold value which is a threshold value with respect to the confidence value; and a second object detection unit that uses the prediction model to acquire a confidence value with respect to each detection region extracted from the narrowed-down detection region candidates, and detects the detection subject on the basis of the acquired confidence value.

Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.

Abstract: A method for providing learning information is provided. The method includes: with reference to two or more supplementary learning patterns experienced by a learner, determining an personalized frequency index related to at least one learning unit commonly included in the two or more supplementary learning patterns; and determining a learning unit having a personalized frequency index higher than or equal to a pre-configured reference, as a personalized supplementary learning unit to be provided to the learner. Each of the two or more supplementary learning patterns includes two or more learning units having a predetermined correlation, and the predetermined correlation is acquired from a knowledge map, which includes two or more nodes corresponding to the two or more learning units and at least one link which connects the two or more nodes and is assigned the correlation between the two or more learning units.

Abstract: An apparatus and a method. The apparatus includes a plurality of long short term memory (LSTM) networks, wherein each of the plurality of LSTM networks is at a different network layer, wherein each of the plurality of LSTM networks is configured to determine a residual function, wherein each of the plurality of LSTM networks includes an output gate to control what is provided to a subsequent LSTM network, and wherein each of the plurality of LSTM networks includes at least one highway connection to compensate for the residual function of a previous LSTM network.

Abstract: Source policy identification information of a registry service policy is correlated with configured policy enforcement processing rules and processing actions using a source policy reference key. The source policy identification information includes at least a source policy identifier (ID) of the registry service policy. Per-transaction service policy enforcement information that documents policy enforcement activities performed by a policy enforcement point (PEP) is correlated with the source policy identification information using the source policy reference key. The correlated per-transaction service policy enforcement information of at least one transaction from the per-transaction service data table is provided in response to a query from a policy monitoring point (PMP).

Abstract: A method for controlling a cooling system based on a heat dissipation of an electronic module and an ambient air temperature includes determining a combination of individual controls on components of the cooling system that achieve a specific amount of cooling based on a cooling power relationship for the plurality of components, the heat dissipation of the electronic module and the ambient air temperature, and applying the individual controls to the plurality of components.

Abstract: A system and method for procedurally synthesizing a training dataset for training a machine-learning model. In one embodiment, the system includes: (1) a training designer configured to describe variations in content of training images to be included in the training dataset and (2) an image definer coupled to the training designer, configured to generate training image definitions in accordance with the variations and transmit the training image definitions: to a 3D graphics engine for rendering into corresponding training images, and further to a ground truth generator for generating associated ground truth corresponding to the training images, the training images and the associated ground truth comprising the training dataset.

Abstract: Computing a protocol complexity indicator (PCI) for a communication protocol of interest in a networked computer system that processes network traffic of multiple protocols. The PCI provides an indication of predicted bandwidth usage by traffic of the protocol of interest. The PCI is used together with a throughput limit to establish a threshold amount for traffic of the protocol of interest. The PCI may then be used, for instance, to determine when to spawn a new instance of a network traffic-processing component for that protocol to maintain processing throughput at an acceptable level.

Abstract: An apparatus and a method. The apparatus includes a first recurrent network in a first layer; a second recurrent network in a second layer connected to the first recurrent network; a distant input gate connected to the second recurrent network; a first highway gate connected to the distant input gate and the second recurrent network; a first elementwise product projection gate connected to the distant input gate, the highway gate, and the second recurrent network; a second highway gate connected to the first recurrent network and the second recurrent network; and a second elementwise product projection gate connected to the first recurrent network, the second highway gate, and the second recurrent network.

Abstract: Disclosed are concepts for provided for managing application traffic. A method includes receiving a request to access a service from an application, confirming an entity of a user of the application and, based on the confirmation, generating, via an authentication service, a routing policy for data flows between the application and the service. The routing policy defines a mandated path between the application and the service. The method also can include storing proof-of-transit data in the traffic flow for tracking an actual path from the application to the service and determining whether the data path complies with the mandated path defined in the policy. When the determination indicates that the actual path followed the mandated path defined in the routing policy, the method includes granting access to the user for the service. When the actual path differs from the mandated path, the method includes denying access to the user.

Abstract: Source policy identification information of a registry service policy is captured. The source policy identification information includes a source policy identifier (ID), a source policy name, and a source policy uniform resource locator (URL). The captured source policy identification information is correlated with configured policy enforcement processing rules and processing actions using a source policy reference key. Per-transaction service policy enforcement information that documents policy enforcement activities performed by a policy enforcement point (PEP) is captured. The captured per-transaction service policy enforcement information is correlated with the captured source policy identification information using the source policy reference key.

Abstract: Source policy identification information of a registry service policy is captured. The source policy identification information includes a source policy identifier (ID), a source policy name, and a source policy uniform resource locator (URL). The captured source policy identification information is correlated with configured policy enforcement processing rules and processing actions using a source policy reference key. Per-transaction service policy enforcement information that documents policy enforcement activities performed by a policy enforcement point (PEP) is captured. The captured per-transaction service policy enforcement information is correlated with the captured source policy identification information using the source policy reference key.

Abstract: An approach is provided for personalizing an error message for a user. The usage of help content by the user to resolve error condition(s) is monitored. Attributes of the usage are determined. A learning style of the user is determined based on the attributes. An error condition is detected. The error message is augmented (i.e., personalized) with a communication and/or hyperlink that is compatible with the learning style of the user, and that is configured to assist the user with resolving the detected error condition. The augmented error message is presented to the user.

Abstract: A method involves causing a wireless network interface of a computing device to be disabled, in response to detection of a network connection between the computing device and a wired network. Related apparatuses, systems, computer programs, computer-readable media and signals are also provided.

Abstract: A system and method for protecting user privacy using social inference protection techniques is provided. The system executes a plurality of software modules which model of background knowledge associated with one or more users of the mobile computing devices; estimate information entropy of a user attribute which could include identity, location, profile information, etc.; utilize the information entropy models to predict the social inference risk; and minimize privacy risks by taking a protective action after detecting a high risk.

Abstract: A system, apparatus, method and computer program product are provided for configuring disparate workstations. In particular, an administrative utility is provided that may allow users to upload to a configuration server individual configuration files for applications executing on workstations associated with physiological devices. Once uploaded, a user may group the configuration files into configuration groups based, for example, on similarities in configurations utilized. Once a configuration group has been created, the user may assign one or more workstations to each configuration group. Upon startup of a workstation, an application executing on the workstation may automatically transmit a request to the configuration server to load the configurations for that workstation. In response, the configuration server may determine to which configuration group the workstation has been assigned, and then download the configuration files of that configuration group to the workstation.

Abstract: A secure method for delivering sleep apnea diagnostic services on an at least one operator of heavy equipment to a company. The sleep apnea diagnostic services are delivered by a general coordinator. The system includes at least one processor connected to an input device, an output device, and a data storage. The data storage includes a plurality of secure computer instruction. The processor is in encrypted communication with a network which is in encrypted communication with at least one company device.

Abstract: A method is used to configure an extended analog computer for use as an application controller. The method includes selecting input pins from among a plurality of pins in a continuous sheet processor, selecting an arrangement of intermediate and output pins from among the remaining pins in the plurality of pins in the continuous sheet processor, applying a pattern data set to the input pins, using an evolutionary algorithm, coupling current sources and sinks to the intermediate and output pins, measuring an error between an output and its expected value, and continuing to select intermediate and output pin arrangements, apply pattern data sets, and measure errors until a configuration threshold is met.

Abstract: The method for generating an integrated guidance law for aerodynamic missiles uses a strength Pareto evolutionary algorithm (SPEA)-based approach for generating an integrated fuzzy guidance law, which includes three separate fuzzy controllers. Each of these fuzzy controllers is activated in a unique region of missile interception. The distribution of membership functions and the associated rules are obtained by solving a nonlinear constrained multi-objective optimization problem in which final time, energy consumption, and miss distance are treated as competing objectives. A Tabu search is utilized to build a library of initial feasible solutions for the multi-objective optimization algorithm. Additionally, a hierarchical clustering technique is utilized to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. A fuzzy-based system is employed to extract the best compromise solution over the trade-off curve.

Abstract: The control optimization method for helicopters carrying suspended loads during hover flight utilizes a controller based on time-delayed feedback of the load swing angles. The controller outputs include additional displacements, which are added to the helicopter trajectory in the longitudinal and lateral directions. This simple implementation requires only a small modification to the software of the helicopter position controller. Moreover, the implementation of this controller does not need rates of the swing angles. The parameters of the controllers are optimized using the method of particle swarms by minimizing an index that is a function of the history of the load swing. Simulation results show the effectiveness of the controller in suppressing the swing of the slung load while stabilizing the helicopter.

Abstract: The fuzzy logic-based control method for helicopters carrying suspended loads utilizes a controller based on fuzzy logic membership distributions of sets of load swing angles. The anti-swing controller is fuzzy-based and has controller outputs that include additional displacements added to the helicopter trajectory in the longitudinal and lateral directions. This simple implementation requires only a small modification to the software of the helicopter position controller. The membership functions govern control parameters that are optimized using a particle swarm algorithm. The rules of the anti-swing controller are derived to mimic the performance of a time-delayed feedback controller. A tracking controller stabilizes the helicopter and tracks the trajectory generated by the anti-swing controller.

Abstract: Disclosed herein are systems and uses of systems operating between fully quantum coherent and fully classical states. Such systems operate in what is termed the “Poised realm” and exhibit unique behaviors that can be applied to a number of useful applications.

Abstract: A load fuzzy modeling device for the power system based on the causality diagram, the composite cloud generator and the improved T-S fuzzy model, comprising: a hardware device, including: the sensors, a signal conditioning and filter module, an A/D conversion module, a causality conversion module, a DSP module, a memory module, a display and keyboard module connected with the DSP module, respectively and a communication module connected with the PC.

Abstract: A system and method for authenticating a subscriber of a first network to access application services through a second network, wherein the second network is a packet data network.

Abstract: A human perception model for a speed control method obtains a steering angle, a velocity error and a distance error. The steering angle and a measure of operator aggressiveness are applied to the model. The output is defuzzified. The steering angle, the velocity error and the distance error are applied to fuzzy logic membership functions to produce an output that is applied to a velocity rule base. The measure of operator aggressiveness is input to the velocity rule base. The output from the velocity rule base is defuzzified to produce a speed signal.

Abstract: Documents to be accessed over a computer network are stored in network data storage such that each document is associated with a document archive and a task is associated with each stored document. An escalation list is created for each task and is associated with the document archive so as to specify an ordered list of escalation items to be satisfied until fulfillment of the task. When a parameter associated with each escalation list item has been satisfied, process operations associated with the next escalation list item are performed. Fulfillment of the task results in appending a verification of task fulfillment to the document archive.

Abstract: A work model (or an image) is displayed on an image plane of a robot simulator (201), and a measuring portion and a measuring method are designated (202, 203) and a work shape and a work loading state are designated (204), and then it is judged whether or not the measuring portion and the measuring method are good (205). When the measuring portion and the measuring method are good, a program is generated and the processing is completed (207, 208). When the measuring portion and the measuring method are not good, an alarm is given (206), and the continuation (207) or the repetition (201) of the processing is directed. At the time of analyzing the program, the loading (101), the analysis and display of the measuring portion and the measuring method (102, 103) and the work information (104) are designated, and then it is judged whether or not the measuring portion and the measuring method, which have been analyzed, are good (105).

Abstract: A method is used to configure an extended analog computer for use as an application controller. The method includes selecting input pins from among a plurality of pins in a continuous sheet processor, selecting an arrangement of intermediate and output pins from among the remaining pins in the plurality of pins in the continuous sheet processor, applying a pattern data set to the input pins, using an evolutionary algorithm, coupling current sources and sinks to the intermediate and output pins, measuring an error between an output and its expected value, and continuing to select intermediate and output pin arrangements, apply pattern data sets, and measure errors until a configuration threshold is met.

Abstract: This invention pertains to adaptive programmable template matching systems. One or more templates are stored, either directly by a user, or by an unsupervised programming method, onto programmable memories, and in one mode of operation, the distance between a signal and the template is computed using a distance estimation circuit. The output of the distance estimator provides a metric for the proximity of the signal to the template, and an adaptive or user-defined threshold may be set for identifying matches. Various applications for this invention are disclosed, including implantable neural spike sorting chips, template matching image sensors, and template matching bio-sensors, for example DNA or antibody sensing.

Abstract: In a method for acquisition, analysis and representation of at least one medical image data set created in a medical examination, an image data set of an examination region of an examination subject is acquired with a medical imaging apparatus, at least one display specification regarding an orientation to be retained in a graphical representation of the acquired image data set is retrieved from a data processing device in which it is stored, the image data set is checked with regard to the display specification by the data processing device, and of at least one part of the image data set is adapted and displayed corresponding to the display specification, dependent on the check result.

Abstract: A secure method for delivering sleep apnea diagnostic services on an at least one commercial driver to a trucking company. The sleep apnea diagnostic services are delivered by a general coordinator using a system. The system includes at least one processor connected to an input device, an output device, and a data storage. The data storage includes a plurality of secure computer instruction. The processor is in encrypted communication with a network which is in encrypted communication with at least one client device.

Abstract: A load fuzzy modeling device for the power system based on the causality diagram, the composite cloud generator and the improved T-S fuzzy model, comprising: a hardware device, including: the sensors, a signal conditioning and filter module, an A/D conversion module, a causality conversion module, a DSP module, a memory module, a display and keyboard module connected with the DSP module, respectively and a communication module connected with the PC.

Abstract: A system and method for organizing knowledge in such a way that humans can find knowledge, learn from it, and add to it as needed is disclosed. The exemplary system has four components: a knowledge base, a learning model and an associated tutor, a set of user tools, and a backend system. The invention also preferably comprises a set of application programming interfaces (APIs) that allow these components to work together, so that other people can create their own versions of each of the components. In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools. The knowledge may be in the form of documents or other media, or it may be a descriptor of a book or other physical source. Each piece of knowledge is associated with various types of meta-knowledge about what the knowledge is for, what form it is in, and so on.

Abstract: A system, method and computer program for developing artificial intelligence through the generational evolution of one or more genomes. Each genome includes a set of functions. The method includes creating one or more cortices, operating the one or more cortices to perform one or more specified tasks, calculating a fitness score for each cortex based on its ability to perform the specified tasks, and selecting one or more of the cortices based on the respective fitness scores. Each cortex includes a plurality of cortical units. Each cortical unit includes a set of functions. Each cortical unit is created from the one or more genomes.

Abstract: The invention provides a novel control method combining fuzzy logic control with gain auto-tuning sliding mode control. A control error signal e(t) from the detection mechanism and an error change signal ce(t) are combined together as a sliding variable s(t)=ce(t)+?e(t) and used as the fuzzy input control variable. Using the control method, 2D fuzzy control rule is simplified into 1D fuzzy control rule through the sliding variable definition for enhancing the efficiency of computation and saving computation resources. Accordingly, both the quick transient response and steady state precision positioning can be achieved. The present method can overcome the disadvantages of current controller, which can not reach the desired transient and steady state responses simultaneously.

Abstract: Automigration mechanisms having fuzzy-logic based automigration control mechanisms for implementing control schemes controlling start, stop and/or bandwidth of the automigration process are provided. The automigration control mechanisms read, into a memory of an automigration controller circuit, configuration parameters characterizing the hardware and software properties of the source storage and target storage and, that of the network connection between them. The mechanisms further derive fuzzy variables from the values of the input variables and of the configuration parameters. The mechanisms further provide a predetermined fuzzy function with the fuzzy variables, wherein said where the fuzzy function reflects the exhaustion level of the source executing the fuzzy function yielding a fuzzy result value. The mechanisms apply the fuzzy result value to one of the control schemes, yielding a control result.

Abstract: A method of controlling a valve of a cam phaser of an internal combustion engine includes determining a delta duty cycle from a position error and a rate of change of error (error dot). A fuzzy gain value is calculated from the delta duty cycle and a correction term. A duty cycle is calculated from an integral gain value and the fuzzy gain value. The duty cycle is then used to control the valve of the cam phaser.

Abstract: A method and an apparatus for predicting intake manifold pressure are presented, to compensate for a large lag or a large time delay without producing an overshot or discontinuous behaviors of a predicted value. The method comprises the step of obtaining a difference of values of a variable to be predicted and a difference of values of another variable ahead of the variable to be predicted. The method further comprises the step of filtering the differences with adaptive filters. The method further comprises the step of obtaining a predicted difference of values of the variable to be predicted, through algorithm of estimation with fuzzy reasoning. The method further comprises the step of adding the predicted difference of values of the variable to be predicted, to a current value of the variable to be predicted, to obtain a predicted value of the variable to be predicted.

Abstract: One embodiment of the present invention provides a system that migrates a layout of a cell which is used in integrated circuit design. During operation, the system receives a layout for the cell, wherein one or more layers of the cell contain tracks for metal wires. The system then determines how many tracks are to be inserted into the cell. Next, the system inserts one or more extra tracks between the tracks in the cell. The system subsequently adjusts the widths of the inserted tracks and the original tracks to increase the total number of tracks within the cell while maintaining the metal wires at the center of their original tracks.

Abstract: A method of aligning a new goal of an entity ensures that the new goal is a child goal of a parent goal. The method also ensures that a group is linked to the parent goal, and ensures that the entity is subordinate to the group. In one embodiment, selection lists constrain the available values for the group and/or the parent goal. In another aspect, a method of facilitating contextual alignment of a new goal recognizes an organizational role for an entity and customizes content of a user interface, based on the organizational role of the entity. The user interface with the customized content provides goal creation guidance according to the organizational role. In one embodiment, the customized content includes specialized instructions and sample content for characteristics of the new goal, such as a goal-objective characteristic, a goal-measure characteristic, and a goal-activity characteristic.

Abstract: A system is controlled by an actor-critic based fuzzy reinforcement learning algorithm that provides instructions to a processor of the system for applying actor-critic based fuzzy reinforcement learning. The system includes a database of fuzzy-logic rules for mapping input data to output commands for modifying a system state, and a reinforcement learning algorithm for updating the fuzzy-logic rules database based on effects on the system state of the output commands mapped from the input data. The reinforcement learning algorithm is configured to converge at least one parameter of the system state to at least approximately an optimum value following multiple mapping and updating iterations. The reinforcement learning algorithm may be based on an update equation including a derivative with respect to at least one parameter of a logarithm of a probability function for taking a selected action when a selected state is encountered.

Abstract: The invention is a method for augmenting images to highlight regions where objects of interest are likely to appear. The method uses fuzzy set theory to classify locations that may contain objects of interest, uses fog volumes to represent the fuzzy sets in three dimensions, and renders these fog volumes from the vantage point of the image to provide a colored overlay with which to augment the image. Where fog volumes of different colors overlap in an image, the invention renders the overlapping area using cross-hatching, so that the multiple colors appear side by side rather than blending to make a third color.

Abstract: Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this application a fuzzy quality module evaluates output from a noisy sensor. It compares the sensor data with an estimated sensor value, and based on that comparison, dynamically adapts a fuzzy logic rulebase used to determine whether the sensor value is valid or not.

Abstract: A computer implemented method and apparatus for simulating an intelligent tutor for interactive adaptive training of learners in any domain includes a Domain Module, a Tutor Module and an Interface. Items to be learned, and their prerequisite and other dependency relationships are represented in a fuzzy graph, together with a fuzzy logic computational engine, which dynamically adapts the available sequence of training actions (such as presentations/explanations, simulations, exercises and tasks/questions) to a current assessment of the learner's knowledge skill, the level of difficulty of the presented material, and preferences and learning style of the individual learner. Fuzzy logic is used as the basis of arc weightings, and the computations, but the general methodology is applicable to other approaches to weighting in computation.

Abstract: A method for monitoring processes includes identifying process variables in a process space as operating values, carrying out a measurement of actual values of the operating values, presetting or measuring actual values of at least one operating parameter that influences these operating values, assessing operating values as a function of the operating parameters, and generating a map of the process space by allocating at least one subset of points of the process space to at least two classes which represent a measure of the risk of the operating state of the printing machine. An apparatus for implementing the above-described method has at least one diagnostic apparatus, an input unit, a machine control unit and a display apparatus. The apparatus also has a cartography unit which provides a map of the process space of the operating values as a function of the operating parameters.

Abstract: A measuring instrument includes a first temperature sensor, a second temperature sensor and circuitry. The first and second temperature sensors each generate a signal indicative of the temperature of a medium being detected. The circuitry is configured to activate verification of temperature being sensed with the first sensor. According to one construction, the first temperature sensor comprises at least one thermocouple temperature sensor and the second temperature sensor comprises an optical temperature sensor, each sensor measuring temperature over the same range of temperature, but using a different physical phenomena. Also according to one construction, the circuitry comprises a computer configured to detect failure of one of the thermocouples by comparing temperature of the optical temperature sensor with each of the thermocouple temperature sensors. Even further, an output control signal is generated via a fuzzy inference machine and control apparatus.

Abstract: In hybrid communication environments, in which both the wired and wireless communication links in a communication channel can exist in a communication channel, performance of a quality-of-service (QoS) provision can be enhanced if the application knows whether there exist wireless links in the communication channel and adapts its behavior accordingly. The system of the present invention includes a fuzzy reasoning engine which uses quality of service parameters of a communication channel relating to network statistical patterns as fuzzy inputs, and determines a confidence about the existence of wireless links in the communication channel as the output. The quality of service parameters can include a mean value and variance of round trip time of packets communicating between two communication entities over the comunication channel. Based on the determination of the type of link, the application can be adapted in order to provide a predetermined quality of service.