Approaches for accurate neural network training for library-based critical dimension (CD) metrology are described. Approaches for fast neural network training for library-based CD metrology are also described.
A method and system for wastewater treatment based on dissolved oxygen control by a fuzzy neural network, the method for wastewater treatment comprising the following steps: (1) measuring art inlet water flow rate, an ORP value in an anaerobic tank, a DO value in an aerobic tank, an inlet water COD value, and an actual outlet water COD value; (2) collecting the measured sample data and sending them via a computer to a COD fuzzy neural network predictive model, so as to establish an outlet water COD predicted value, (3) comparing the outlet COD predicted value with the outlet water COD set value, so as to obtain an error and an error change rate, and using them as two input variables to adjust a suitable dissolved oxygen concentration. Accordingly, the on-line prediction and real-time control of dissolved oxygen wastewater treatment are achieved. The accurate control of dissolved oxygen concentration by the present method for wastewater treatment can achieve a saving in energy consumption while ensuring stable running of the sewage treatment system, and the outlet water quality meets the national emission standards.
The Bio-Signature Association approach disclosed herein addresses the above stated needs by providing a method and computer software component for automatically and intelligently managing the inbox based on the ever-changing behavior of the user. Theoretically, Emails should be treated as an event where an action may be taken or initiation of an action. When the user casually acts upon an inbox or an individual email, there is unique pattern associated with such operations. For example, one might view emails from families first followed by colleagues or so-call \"internal\" fellow workers. Naturally, pushed advertisements such as special interest groups and vendors may be towards the end. These viewing habits and patterns are considered as unique \"signature\" for each user in this invention.
Apparatus and methods for partial evaluation of synaptic updates in neural networks. In one embodiment, a pre-synaptic unit is connected to a several post synaptic units via communication channels. Information related to a plurality of post-synaptic pulses generated by the post-synaptic units is stored by the network in response to a system event. Synaptic channel updates are performed by the network using the time intervals between a pre-synaptic pulse, which is being generated prior to the system event, and at least a portion of the plurality of the post synaptic pulses. The system event enables removal of the information related to the portion of the post-synaptic pulses from the storage device. A shared memory block within the storage device is used to store data related to post-synaptic pulses generated by different post-synaptic nodes. This configuration enables memory use optimization of post-synaptic units with different firing rates.
Disclosed is an apparatus and method for estimating a state of charge (SOC) in a battery, in which the battery SOC is estimated using a fusion type soft computing algorithm, thereby accurately estimating the battery SOC in a high C-rate environment. The apparatus includes a detector unit for detecting current, voltage and temperature of a battery cell; and soft computing unit for outputting a battery SOC estimation value of processing the current, the voltage and the temperature detected by the detector unit using a radial function based on a neural network algorithm. Especially, the soft computing unit combines the neural network algorithm with any one of a fuzzy algorithm, a genetic algorithm (GA), a cellular automata (CA) algorithm, an immune system algorithm, and a rough-set algorithm, and thereby adaptively updates the parameters of the neural network algorithm.
Apparatus and methods for universal node design implementing a universal learning rule in a mixed signal spiking neural network. In one implementation, at one instance, the node apparatus, operable according to the parameterized universal learning model, receives a mixture of analog and spiking inputs, and generates a spiking output based on the model parameter for that node that is selected by the parameterized model for that specific mix of inputs. At another instance, the same node receives a different mix of inputs, that also may comprise only analog or only spiking inputs and generates an analog output based on a different value of the node parameter that is selected by the model for the second mix of inputs. In another implementation, the node apparatus may change its output from analog to spiking responsive to a training input for the same inputs.
The present invention provides a plurality of Enterprises with a single online user interface with which the Enterprise can provide Enterprise Shippers, shipping origination users and shipping intermediary users with an automated parcel management system for a plurality of supported Carriers for a plurality of services. The present invention provides for the hierarchical definition of users, including the hierarchical definition of organizational units within each Enterprise. The present invention further provides for a distinct definition of policies, privileges, and other types of specifications for each user level, each user, and each organizational unit. The present invention applies the user and organizational policies, privileges and other specifications as they apply to each particular user to drive the interactive interface with each particular user and to provide among other things, shipping options, shipping services, shipping rates, traveler and/or shipping label preparation, and shipment tracking.
Described herein are systems and methods for identifying herbal ingredients effective in treating illnesses in Traditional Chinese Medicine (TCM) using an artificial neural network.
A design matrix structure visualization technique and tool for the study and analysis of systems, such as software systems, where the bounds of the matrix are defined by a selected focusing metric and entities forming the system are displayed in the matrix as blocks of size relative to their proportion of the selected focusing metric. Relationships between entities are illustrated by summing all relationships between individual elements forming each displayed entity. Where possible, an identifier defining the characteristic of a displayed block is also shown. Preferably, the technique and tool includes a \"zoom\" feature to allow a user to drill down and uncover details associated with smaller blocks as shown in the original view.
In one aspect of the present description, a systems manager based upon a common model of information protocol or standard includes automated storage area network (SAN) expansion management which permits additional provider modules to be automatically installed if needed in response to devices being added to the SAN. In addition, the automated SAN expansion management permits installed provider modules to be automatically configured in response to devices being added to the SAN. Still further, in another aspect, the automated SAN expansion management can automatically determine if a suitable host processor exists to host installation of a new provider module and if not, the automated SAN expansion management 20 can automatically deploy a suitable host processor such as a virtual server to host installation of a new provider module. Other features and aspects may be realized, depending upon the particular application.
Methods for automatically analyzing and/or performing music are described. One embodiment concerns a method for assigning chords to a musical score indicative of a sequence of time segments, each time segment comprising at least one note, the method comprising assigning a chord to each time segment responsive to consonance/dissonance relationships between the assigned chord and the notes of at least two of the time segments. Optionally, consonance/dissonance relationships include existence of a dissonant between a chord assigned to a time segment and a note of the time segment and existence of resolution to said dissonant.
The invention discloses an automatic detection instrument for stool specimen, comprising an automatic controller; a dilution device used for adding quantitative diluent into the stool specimen; a stirring and blending device used for stirring and blending the diluted stool specimen; a detecting unit used for detecting the stool specimen, and an aspirating and cleaning device connected with the detecting unit through pipelines and used for transmitting the stool specimen to the detecting unit and cleaning the detecting unit and the connecting pipelines after detection. The detection instrument of the invention can automatically carry out quantitative dilution, physical microscopic examination and partial chemical detection for specimen completely in comparatively sealed pipelines, thereby reducing the link of air contact, reducing the contamination for the environment and laboratory, and improving the work efficiency by using computer software for automatic control.
Gene expression data are analyzed using learning machines such as support vector machines (SVM) and ridge regression classifiers to rank genes according to their ability to distinguish between BPH (benign prostatic hyperplasia) and all other conditions. Results are provided showing the correlation of results obtained using data from two independent studies that took place at different times using different microarrays. Genes are ranked according to area-under-the-curve, false discovery rate and fold change.
The present invention is a computational system to generate feasible marine transportation schedules given a proposed bulk material supply chain. The decision support tool will fulfill the objectives and scope defined above. The technology employed will require (a) the use of mathematical programming modeling techniques (mixed integer linear programming) to mathematically formulate the business problem, and (b) advanced proprietary solution methods to produce solutions satisfying all constraints of the mathematical model while optimizing an objective function. The decision support tool has the following capabilities: Read input data, Generate feasible bulk material ship Schedule, Evaluate bulk material ship Schedule with User-defined Objective Function, Allow Case comparison, Graphical user interface (GUI) for specifying input data and displaying results.
A client account managing arrangement on an online gaming system includes a game server system (20) having at least one game logic (G1, G2) managing clients (P1-P5) participating in at least one game session (GAME1, GAME2). Each client has a permanent account (A1-A5) on an accounting system (24). Proxies (PROXY1, PROXY2, PROXY3A, PROXY3B, PROXY4, PROXY5), one for each client/game session combination, are connected to the respective game logics. An asynchronous communication server system (22) is connected to the proxies. The accounting system (24) is connected to the asynchronous communication server system and is configured to i) create a temporary reservation account (T1, T2, T3A, T3B, T4, T5) for each client/game session combination, ii) transfer money from the permanent accounts to the respective temporary reservation accounts as clients start to participate in game sessions, iii) update the temporary reservation accounts during ongoing game sessions, iv) transfer remaining money from the temporary reservation accounts to the respective permanent accounts as clients end their participation in game sessions, v) closing the temporary reservation accounts for each ended client/game session combination.
Systems, methods, and other embodiments associated with a cluster cache coherency protocol are described. According to one embodiment, an apparatus includes non-transitory storage media configured as a cache associated with a computing machine. The computing machine is a member of a cluster of computing machines that share access to a storage device. A cluster caching logic is associated with the computing machine. The cluster caching logic is configured to communicate with cluster caching logics associated with the other computing machines to determine an operational status of a clique of cluster caching logics performing caching operations on data in the storage device. The cluster caching logic is also configured to selectively enable caching of data from the storage device in the cache based, at least in part, on a membership status of the cluster caching logic in the clique.
A computer-based method for determining a value of an index-offset deposit product, having a principal amount, a term, a specified guaranteed amount, and an index credit comprising the step of setting trial values for fixed-income-linked crediting parameters for the product implying an expected fixed-income-linked credit component at the end of the term. The method further comprises the steps of determining a cost for an option paying an index-linked credit component such that a composite index credit together with the principal is at least equal to a specified guaranteed amount.
Provided here is a copy protection method and apparatus to confuse currently available personal computer software (and other content) copying packages by use of unexpected (\"illegal\") special characters in the volume (or directory) name for the software or other content or data subject to being copied. This method can be used alone or with a broad range of other known copy protection technologies such as RipGuard (available from Macrovision Corp.). Also provided here is a method and apparatus to defeat the confusion method, thereby allowing copying of such copy protected software.
A system that includes: a configuration management system configured to receive resource updates submitted by developers of a product line; an update monitor configured, in manual monitoring, to mark each submitted resource update with respective variability data specified as relevant to the update submission, by the developer; and a tracer configured, in automatic monitoring, to trace portions of the updated resource into respective features or products of the product line, to determine variability data relevant to the update submission, wherein when an update request is initiated by the developer, the configuration management system is configured to associate the submitted resource updates with the update request based on common variability data, to provide resource updates on demand, based on variability data, wherein in automatic update, the configuration management system is configured to notify developers on resource updates, based on variability data common to the updated resource and the notified developers.
A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction.
Some embodiments are directed to generating a first probability value that represents a percentage of times that first bit values for a given bit position of a first plurality of candidate solutions equate to a pre-defined number, where the first plurality of candidate solutions has converged on a sub-optimal solution during a simulation of an optimization problem using an optimization algorithm. Some embodiments are further directed to generating a second probability value that is inversely biased from the first probability value; and generating a second plurality of candidate solutions with the second probability value, where the second plurality of candidate solutions are inversely biased from the first bit values for the given bit position.
A system and method is disclosed for converting an existing circuit description from a lower level description, such as RTL, to a higher-level description, such as TLM, while raising the abstraction level. By changing the abstraction level, the conversion is not simply a code conversion from one language to another, but a process of learning the circuit using neural networks and representing the circuit using a system of equations that approximate the circuit behavior, particularly with respect to timing aspects. A higher level of abstraction eliminates much of the particular implementation details, and allows easier and faster design exploration, analysis, and test, before implementation. In one aspect, a model description of the circuit, protocol information relating to the circuit, and simulation data associated with the lower level description of the circuit are used to generate an abstract model of the circuit that approximates the circuit behavior.
Example apparatus, methods, and computers support data de-duplication indexing. One example apparatus includes a processor, a memory, and an interface to connect the processor, memory, and a set of logics. The set of logics includes an establishment logic to instantiate one-to-many de-duplication data structures, a manipulation logic to update the de-dupe data structure(s), a key logic to generate a key from a block of data to be de-duplicated, and a similarity logic to make a similarity determination for the block. The similarity determination identifies the block as a unique block, a duplicate block, or a block that meets a similarity threshold with respect to a stored de-duplicated block accessible through the dedupe data structure. The similarity determination involves comparing the block to be de-duplicated to a stored block available to the apparatus using a byte-by-byte approach, a hash approach, a delta hash approach and/or a sampling sequence approach.
Distributed and highly software reconfigurable CMTS (CMRTS) device, based on MAC and PHY units with FPGA and DSP components, for a HFC CATV network. The various CATV RF modulators, such as QAM modulators, may be divided between QAM modulators located at the cable plant, and remote QAM modulators ideally located at the fiber nodes. A basic set of CATV QAM data waveforms may optionally be transmitted to the nodes using a first fiber, and a second set of IP/on-demand data may be transmitted to the nodes using an alternate fiber or alternate fiber frequency, and optionally using other protocols such as Ethernet protocols. The nodes will extract the data specific to each neighborhood and inject this data into unused QAM channels, thus achieving improved data transmission rates through finer granularity. A computerized \"virtual shelf\" control system for managing and reconfiguring the FPGA and DSP based CMTRS units is also disclosed.
The disclosure is directed to dynamic insertion and removal of virtual software sub-layers. In one example, a virtual layer associated with a software application is virtually installed and activated in a computing device. A virtual sub-layer associated with a component of the software application is dynamically inserted in the virtual layer. The virtual layer remains active during the dynamic insertion of the virtual sub-layer. In certain embodiments, a process is executed from the virtual layer, a determination is made as to whether the process launched before or after the insertion of the virtual sub-layer, and the inserted virtual sub-layer is selectively made visible or invisible to the process based on the determination.
Certain aspects of the present disclosure provide methods and apparatus for a continuous-time neural network event-based simulation. This model is flexible, has rich behavioral options, can be solved directly, and is low complexity. One example method generally includes determining a first state of a neuron model at or shortly after a first event, wherein the neuron model has a closed-form solution in continuous time; and determining a second state of the neuron model at or shortly after a second event, based on the first state. Dynamics of the first and second states are coupled to the neuron model only at the first and second events, respectively, and are decoupled between the first and second events.
This invention relates to a method and an automatic system for assisting a forensic anthropologist in the task of identification by means of craniofacial superimposition. First, the system automatically builds a three-dimensional model from a device providing partial views of the skull. Said model is then superimposed onto a photograph of the disappeared person, modelling the inherent uncertainty to the pairing of two separate objects: a skull and a face. Finally, the system emits a recommendation from the result of the identification process to the forensic anthropologist.
A method for generating individual glyphs, and a system and method for inspecting individual glyphs are disclosed. The system includes a true resolution imaging device configured to capture an image of a printed glyph. A registry service has a database for storing other glyphs and/or parameters of other glyphs. An analysis system, in selective communication with the registry service, includes computer software configured to receive the captured image; an image analysis program configured to perform forensic analysis on the received image to determine parameter(s) associated with the glyph; and an image comparison program configured to i) compare the glyph parameter(s) with parameters stored in the registry for other glyphs or with parameters determined, by image analysis program, for the other glyphs stored in the registry, and ii) generate a probability that the glyph and object are authentic based upon the comparison.
A method and apparatus for accelerating a software transactional memory (STM) system is described herein. Annotation field are associated with lines of a transactional memory. An annotation field associated with a line of the transaction memory is initialized to a first value upon starting a transaction. In response to encountering a read operation in the transaction, then annotation field is checked. If the annotation field includes a first value, the read is serviced from the line of the transaction memory without having to search an additional write space. A second and third value in the annotation field potentially indicates whether a read operation missed the transactional memory or a tentative value is stored in a write space. Additionally, an additional bit in the annotation field, may be utilized to indicate whether previous read operations have been logged, allowing for subsequent redundant read logging to be reduced.
A method for training a classifier for selecting features in sparse data sets with high feature dimensionality includes providing a set of data items x and labels y, minimizing a functional of the data items x and associated labels y L ( w , b , a , c , .gamma. 1 , .gamma. 2 ) := 1 N i = 1 N a i + .lamda. 1 c 1 + .lamda. 2 2 w 2 2 + .gamma. 1 T ( e - Y ( Xw + be ) - a ) + .gamma. 2 T ( w - c ) + .mu. 1 2 e - Y ( Xw + be ) - a 2 2 + .mu. 2 2 w - c 2 2 ##EQU00001## to solve for hyperplane w and offset b of a classifier by successively iteratively approximating w and b, auxiliary variables a and c, and multiplier vectors .gamma..sub.1 and .gamma..sub.2, wherein .lamda..sub.1, .lamda..sub.2, .mu..sub.1, and .mu..sub.2 are predetermined constants, e is a unit vector, and X and Y are respective matrix representations of the data items x and labels y; providing non-zero elements of the hyperplane vector w and corresponding components of X and Y as arguments to an interior point method solver to solve for hyperplane vector w and offset b, wherein w and b define a classifier than can associate each data item x with the correct label y.
A phase synchronization mode is performed at a time of subsequent rotation after image formation. After detection of a phase difference by phase detecting sensors 103a, 103d, rotation phases are synchronized between driving motors 111, 102d after a lapse of a variable time. Specifically, timing for starting the rotation phase synchronization is shifted by 20 msec for each phase synchronization control so as to vary angular positions of the photosensitive drums 101a, 101b, 101d at which phase control is started. In this manner, sliding-contact positions are distributed and development and concentration of sliding-contact damages are prevented on the photosensitive drums 101a, 101b, 101d.
A system, method and computer program product for incremental static analysis, including a change impact analyzer for identifying a changed portion of a computer software (e.g., an application), where the changed portion was changed subsequent to performing a static analysis on the application, a static analysis result invalidator for invalidating any static analysis result that is dependent on the changed portion, and an incremental static analyzer for performing a first incremental static analysis on at least the changed portion, presenting the results of the first incremental static analysis, receiving a request to provide additional information regarding a selected result of the first incremental static analysis, performing, responsive to receiving the request, a second incremental static analysis on any portion of the application to gather the additional information, and presenting results of the second incremental static analysis, thereby providing the additional information regarding the selected result of the first incremental static analysis.
Embodiments of the invention generally relate to injection context based static analysis of computer software applications. Embodiments of the invention may include selecting a sink within a computer softwareapplication, tracing a character output stream leading to the sink within the computer software application, determining an injection context of the character output stream at the sink, where the injection context is predefined in association with a state of the character output stream at the sink, identifying any actions that have been predefined in association with the identified injection context, and providing a report of the actions.
The invention here presented regards to an integrated leak detection system which combines the acoustic technology with mass balance technology using artificial neural networks to achieve leak location, quantification provided with pressure sensors installed in strategic points along the pipeline, which act as acoustic sensors or sonic sensors; remotes units denominated FPU (Field Processing Unit); analog and digital filters; artificial neural networks (ANN); and, center monitoring station responsible for gathering and processing system information, using artificial neural networks algorithms that process also signals from the mass balance CFD (Computacional Fluid Dynamics) based on flow temperature pressure and density readings, to allow process parameter actualization in real time such as fluid density, acoustic wave propagation speed, flow speed and signal attenuation coefficient.
Systems and methods for shipping a package from a package sender to an intended recipient, utilizing Internet communications to place shipping orders, request on demand package pickup, maintain and utilize pre-stored profile information, view shipping history, track orders, etc. A package sender with an Internet-accessible computer accesses an Internet site and associated shipping system operated by a shipping service provider. The package sender enters information required for shipping the package, including shipping options and methods for payment, and the shipment transaction is validated. If the transaction is validated, printer indicia are communicated to the customer's computer, which is enabled to locally print a prepaid label containing special machine-readable as well as human-readable indicia. The shipping service provider acquires the package by drop-off, standard pickup or on call pickup, scans the machine readable indicia, verifies other indicia of authenticity, and processes the package in accordance with information encoded on the label.
The land vehicle includes a body, a power plant and a plurality of land engagers, the land engagers for engaging land and propelling the land vehicle across land. The land vehicle includes a controllable suspension system, the controllable suspension system for controlling suspension movements between the body and the land engagers. The land vehicle includes a computer system and suspension sensors located proximate the land engagers for measuring suspension parameters representative of suspension movements between the body and the land engagers and outputting a plurality of suspension sensor measurement output signals. The land vehicle includes controllable force suspension members located proximate the land engagers and the suspension sensors, the controllable force suspension members applying suspension travel forces between the body and the land engagers to control the suspension movements. The land vehicle computer system includes controllable suspension system algorithms for controlling the controllable force suspension members to control vehicle body motion and the suspension movements between the body and the land engagers and inhibit the driver from crossing into an identified impending driver vehicle safety margin.
Work packets are assembled, within a software factory, into a customized deliverable unit of software by software factory components that have been rated as being the most suitable according to requirements set by the customer. The work packets comprise exit criteria for returning the work packets and the customized deliverable unit from an assembly line to a software factory operations unit in the software factory.
A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a cost model, a current account contract, and/or a collateral constellation business object.
The manner of measuring the location of user's eyesight fixation point on the computer screen surface based on illuminating the eye surface, monitoring the eye with a camera and analysing light reflecting from the pupil surface is characterized by the fact that sources of illumination are installed in the camera axis, and in corners of computer monitor and/or somewhere near them. This light is an infrared light and depending on features characteristic for the eyes of the user, sources of illumination are turned on or turned off in sequence or jointly, and then, constellations of reflections from pupil's surface are recorded in camera image, whereas the camera image is transferred to undergo processing by the computer and by software.
A method automatically recovers from a fault situation in a production plant and provides production resources and a manufacturing execution system having a production modeler for modeling the production resources into a plant model and a production scheduler to schedule operations of the modeled production resources. A production controller executes the production process and a fault manager detects fault situations and automatically decides a corrective action. A production resource runs an application for the operation of the production resource and a fault analysis agent provides categorized error situations and checks operational data representing the operation of the production resource against the categorized error situations and when, an error situation occurs, forwards an error event to the fault manager. The error events are collected and then analyzed by aneural network system to assign the error event to an error category. A corrective action is executed on the production resource.
A method for manufacturing a custom cranial remodeling device of a type comprising plastic material is provided. The method includes the steps of: providing a first database of three-dimensional digital surface images of trim lines for cranial remodeling devices of a first type; providing a second database of three-dimensional digital surface images of trim lines for cranial remodeling devices of a second type; providing a first program for creating trim lines for a cranial remodeling device of the first type, the first program utilizing the first database; providing a second program for creating trim lines for a cranial remodeling device of the second type, the second program utilizing the second database; generating a three-dimensional model of a desired head shape; forming the plastic material onto the model; and selecting one of the first or the second programs to generate trim lines for the cranial remodeling device.
A method and apparatus for interfacing a customer with a call center allows information obtained from a Radio Frequency Identification (RFID) tag to be transmitted to the call center to provide additional information about the customer and allow the session to be routed within the call center. The call center may be accessed by telephone, computer, or via another type of customer premises equipment over a voice or data network. The RFID tag may be an identification tag provided to the customer for access to the call center or may be a tag associated with the customer and not specific to the call center. The call center may route calls based on routing information contained in the RFID tag information, customer identity and previous sessions with that customer, personal and demographic information and statistical support records for other sessions involving customers with similar personal and demographic information.
A method and a corresponding apparatus for inventoring software products on a plurality of computer are proposed. The inventoring system aims at populating a software catalogue without the manual intervention of an administrator. The present invention reduces the cost of producing and maintaining a comprehensive knowledge base (the catalogue) which contains definitions of software products and the related signature. Information about software products and their related signature is obtained through a process which gathers information from a potentially very large collection of computers. Any occurrence of a group of identical files across multiple computers is considered a reliable indicator that they belong to the installation footprint of a product.
Certain aspects of the present disclosure relate to a technique for adaptive structural delay plasticity applied in spiking neural networks. With the proposed method of structural delay plasticity, the requirement of modeling multiple synapses with different delays can be avoided. In this case, far fewer potential synapses should be modeled for learning.
A method of sensing the air/fuel ratio in a combustion chamber of an internal combustion engine that may be easily implemented by a respective low-cost device includes a pressure sensor and a learning machine that generates a sensing signal representing the air/fuel ratio by processing the waveform of the pressure in at least one cylinder of the engine. In practice, the learning machine extracts characteristic parameters of the waveform of the pressure and as a function of a certain number of them generates the sensing signal.
A computer system and method for software delivery that include articles of manufacture having two or more installed, functional software applications organized in a protoset, the protoset configured to enable creation of one or more subsets (also called reduced metasets) from the two or more installed, functional software applications, each of the one or more subsets configured to be operable with a predefined computer system independent of the protoset; and a protoset module configured to operate on the protoset to enable creation of the one or more subsets of the two or more installed, functional software applications, the module responsive to one or more requests for the creation of the one or more reduced metasets
The present document describes a method, a processor platform and a processor readable medium for controlling a supply chain for moving goods by agents according to orders. The method comprises: updating a knowledge base populated with statuses of the goods; statuses of the agents; rules for establishing expected behaviors of the goods and of the agents; and the orders. The method further comprises: determining, based on the knowledge base, instructions to be executed by the agents for moving the goods to achieve the orders wherein each elapsed time between each agent sending the status of a good or its own status to the knowledge base and the same agent receiving an instruction is smaller that the expected completion duration of the same instruction.
There is provided a method for monitoring a package for storage and/or transport of at least one item. An exemplary method comprises receiving at a transmission unit measured data about properties of the item and/or about influences on the item via at least two sensors. The exemplary method also comprises executing via the transmission unit a decision of a logical node of a logistics system about a selection of data transmitted to a receiving unit. The exemplary method additionally comprises sending information about the desired selection of data from a control unit to the transmission unit. Finally, the exemplary method comprises enabling a user to make a selection relating to types of data to be transmitted.
An index of data elements is stored with a file. The file encodes the data elements. The index indicates memory locations of the data elements within the file. The index and the file are stored in a storage device. A parser or decoder accesses the index to identify data elements. At least one of the storing and accessing are performed by a computing device.
A method, a system and an apparatus for predicting and/or recognizing and/or classifying biological sequences, specially sequence families with binding site recognition motifs poorly conserved, comprising, advantageously, the use of neural networks rules; providing enhanced and more accurate results; and is preferably used when the biological sequence is a promoter.
A method of executing a software application. A storage device stores connection data, an identifier of the software application, a context selector, and an application launcher. An execution device connects, using the connection data, to a server. The storage device transfers the context selector to the execution device, which executes it to generate a first context for the execution device. The identifier and the first context are sent to the server from which the storage device receives the software application, which is stored with the first context. The application launcher is transferred to the execution device for execution. A second context of the execution device is generated and the storage device checks if it matches the first context. If so, the storage device transfers the software application to the execution device where it is executed.
Provided are methods and computer software applications for generating a stock portfolio, and/or enhanced stock index, through using a plurality of growth factors and a plurality of value factors to rank stocks, and for constructing investment vehicles based on the stock portfolio. The method, software application, or computer apparatus of the present technology employs a novel stock selection strategy to select stocks from a pre-selected universe of securities such as a commercially available stock market index in order to create a stock portfolio, and/or enhanced stock index, and a fund based thereon that can generate positive alpha as compared to a fund based on the pre-selected universe of securities.
A cloud administration system for providing a software update to one or more remote print devices may include a processing module in communication with the submission module a plurality of print devices. The processing module may be located remotely from each print device. The cloud administration system may include a storage module in communication with the processing module. The storage module may be configured to receive a software update from an application computing device. The software update may include a software version. The processing module may be configured to receive the software update from the storage module, and transmit the software update to at least one of the plurality of print devices. The cloud administration system may operate as a shared resource for each print device and the application computing device.
A neural network-based system for monitoring a turbine compressor. In various embodiments, the neural network-based system includes: at least one computing device configured to monitor a turbine compressor by performing actions including: comparing a monitoring output from a first artificial neural network (ANN) about the turbine compressor to a monitoring output from a second, distinct ANN about the turbine compressor; and predicting a probability of a malfunction in the turbine compressor based upon the comparison of the monitoring outputs from the first ANN and the second, distinct ANN.
An investment system based on indexes created from various metrics is disclosed. The indexes may be built by selecting from a universe of assets, a subset using selection and weighting metrics substantially independent of market capitalization weighting, price weighting, or equal weighting. These metrics may include, but are not limited to book value, sales, dividends, cash flow, employees, demographics, etc. A combination of financial non-market capitalization metrics may be used along with non-financial metrics to create passive investment systems. Once the index is built, it may be used as a basis to purchase securities for a portfolio. As the data underlying the indexes change because of, e.g., economic activity, the index may be updated and may be used as a basis to rebalance the portfolio. Valuation indifferent indexes of the present invention avoid overexposure to overvalued securities and underexposure to undervalued securities, as compared with conventional capitalization-weighted price-weighted indexes.
Described herein are techniques for producing probabilistic event networks (Bayesian network based representation of node dependencies, whereas nodes comprise event occurrences, explicit times of occurrences, and the context of event occurrences) based on distributed time-stamped data. An aspect provides a method for predicting events from event log data via constructing a probabilistic event net and using the probabilistic event net to infer a probabilistic statement regarding a future event using a network inference mechanism. Other embodiments are disclosed.
The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: --obtaining a gray scale MRI image of the brain region; --applying a contour edge-detecting algorithm to the image; --employing a grid covering method for calculating a first order metric index of ventricular zone contour; --superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares; --plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index.
A method of real-time profiling a software application running on heterogeneous parallel computing resources is provided. The method may include the following steps, comprising: analyzing, in real-time, operations of acomputer software application operatively associated with parallel computing resources, by executing the application on the parallel computing resources in a specified configuration of parallel computing resources usage, to yield a time-dependent profile of the computer software application in terms of usage of the parallel computing resources, wherein the profile is based on specified categories of software operations; presenting the time-dependent profile graphically and in real-time; repeating the executing with a modified configuration in response to user modifications made to the usage of the parallel computing resources, to yield an updated profile; and repeating the presenting with the updated profile, wherein at least one of the analyzing, the presenting and the repeating is executed by at least one processor.
The present application is a self-contained mobile inspection system and method and, more specifically, improved methods and systems for detecting materials concealed within a wide variety of receptacles and/or cargo containers. In particular, the present application is an improved method and system for inspecting receptacles and/or cargo containers using a single boom placed on a turntable with pivot points to allow for folding and unfolding of the boom, such that the inspection system is relatively compact in a stowed configuration and has a low center of gravity lending to greater stability.
A system for estimating a strain of a component and method of estimating strain is provided. The system includes a signal generator configured to transmit a signal toward the component. A sensor is coupled to the component and configured to receive the signal and to generate a reflected signal. The system includes a fiber Bragg grating filter coupled to the sensor and configured to filter the reflected signal and to generate a filtered signal. A detector is coupled to the filter and configured to convert the filtered signal to a time domain signal. The system includes an artificial neural network coupled to the detector and configured to process the time domain signal to facilitate estimating the strain of the component.
A certain component of an input time series signal (hereinafter referred to as input) is assumed as a cycle time-variable time series signal and a prediction model for predicting a value of the input after the predetermined time is produced, and the value of the input after the predetermined time is predicted and outputted using the prediction model.
A control system includes a plurality of audio/video and environmental devices, a server and a client system. Each one of said plurality of audio/video devices receives or sends an audio/video signal. The server is connected to each one of said plurality of audio/video devices and is configured to controllably receive and send audio/video signals to and from the plurality of audio/video devices. The server is connected to each one of said plurality of environmental devices and is configured to controllably operate the environmental devices. The client system is interoperable with the server and with a user of the client system through a user interface. At least one medical device may also be connected to communicate with said server. The user can control the plurality of audio/video and environmental devices through the client system and the server, and receive the audio/video signal outputted from any one of the plurality of audio/video and environmental devices.
A process control system coordinates with an associated asset management system to implement a plant safety mechanism and, in particular, to prevent unintended changes to, or otherwise undesired operation of, one or more process control equipment resources in a process plant. A maintenance technician uses the asset management system to request access to one or more of the process control equipment resources. A process operator receives the request via the process control system and grants or denies the request. Process control equipment resources for which a process operator grants a request are inoperable, in part or in whole, by the process control system. Upon completion of the maintenance task, the maintenance technician requests to return control of the process control equipment resource to the process operator. The return is complete when the process operator acknowledges the return of the resource to the process control system.
Support vector machines are used to classify data contained within a structured dataset such as a plurality of signals generated by a spectral analyzer. The signals are pre-processed to ensure alignment of peaks across the spectra. Similarity measures are constructed to provide a basis for comparison of pairs of samples of the signal. A support vector machine is trained to discriminate between different classes of the samples. to identify the most predictive features within the spectra. In a preferred embodiment feature selection is performed to reduce the number of features that must be considered.
A tissue stimulation system and computer software and method of monitoring a neurostimulation lead having a plurality of electrodes implanted within a patient (e.g., adjacent the spinal cord) is provided. Neurostimulation lead models are provided, each of which includes estimated electrical parameter data (e.g., electrical field potential data) corresponding to a predetermined position of the neurostimulation lead. Electrical energy is transmitted to or from the electrodes, and electrical parameter data (e.g., electrical field potential data) is measured in response to the transmitted electrical energy. The measured electrical parameter data is compared with the estimated electrical parameter data of each of the neurostimulation lead models, and a position of the neurostimulation lead is determined based on the comparison.
A system for programming a plurality of different models, or generations, of neurostimulation devices includes a plurality of plug in software drivers stored on a hard drive of the system, wherein the plurality of plug-in software drivers are respectively configured for facilitating communication between the plurality of different models of neurostimulation devices and the system processor via a transceiver. In a method of programming a plurality of different models of neurostimulation devices, the system processor dynamically identifies the model of an interrogated neurostimulator and determines which plug-in software driver to use for programming the interrogated neurostimulator. The plug-in software drivers are cached into memory upon start-up of the system.
An automatic speech recognition system for recognizing a user voice command in noisy environment, including: matching means for matching elements retrieved from speech units forming said command with templates in a template library; characterized by processing means including a MultiLayer Perceptron for computing posterior templates (P(O.sup.template(q))) stored as said templates in said template library; means for retrieving posterior vectors (P(O.sup.test(q))) from said speech units, said posterior vectors being used as said elements. The present invention relates also to a method for recognizing a user voice command in noisy environments.
A software management database contains data structures supporting computer software provisioning for a range of CTO/BTO variations, language variations, region variations, and operating system variations.
A method and system for supply chain data analysis. The method includes storing supply chain data including test data, genealogy data, repair data, some factors and some items, in one or more databases and selecting a portion of the factors from the stored data, and a time range for analysis. The method then selects one or more criterion for analysis; extracts a portion of the stored data; analyzes the extracted portion of the stored data to detect a combination of factors that result in a test failure, according to the selected factors, the time range, and the selected one or more criterion. The method then detects a root cause for the detected combination of factors; performs correlation analysis between the selected factors; and performs trend analysis on the selected factors.
An intrusion detection system for detecting and defeating unauthorized intrusion within a computer network of an infrastructure element of a high value target, the system including a pre-processor configured to receive data from a computer network of an infrastructure element of a high value target and to output filtered data, a grammar applicator configured to apply grammars produced using a grammar based compression and learning algorithm to the filtered data, a decision making device configured to provide a recommendation based on an input from the grammar applicator as to whether the data in the computer network constitutes an unauthorized intrusion, and an emulator in communication with the decision making device configured to expand a sampling of the filtered data using a polymorphic transformation to allow the decision making device to further analyze the sampled data to determine an unauthorized intrusion. A method and a computer software code are also disclosed.
A system for displaying information on a display, the system including a display, a processor that provides information on the display based on commands received by the processor, and at least one computer process operable with the processor. The at least one computer process is configured to display a first set of information in a first display container when commanded, the first set of information possesses at least one link that when activated provides a second set of information in a second display container, the first set of information in the first display container is partially obscured by the second display container, but non-obscured information in the first display container remains accessible while the second display container also remains accessible and visible. A method and computer software computer code for displaying information on a display are also disclosed.
Apparatus and methods to process loss payments are described herein. In one example, an apparatus includes one or more data stores, a rules engine, an audit engine and a payment engine. In another example, the method may include receiving a notice of loss, deriving a payee, processing one or more rules using the information, determining whether an automatic payment can be made and transferring funds if the automatic payment can be made. In a further example, the method may include receiving a notice of loss, the loss having one or more exposures, processing one or more rules for each of the exposures in parallel, determining if an automatic payment can be made for each of the exposures and removing the automatic payment for an exposure if it can not be made while continuing processing payments for the remaining exposures.
In one aspect, there is provided a system having a processor and a data storage device coupled to the processor. The data storage device stores instructions executable by the processor to receive a software module, the software module having an interface adapted to display a plurality of first graphemes in a first language, provide at least one look-up table having at least some of the first graphemes and a plurality of second graphemes in a second language associated therewith, said association being based on a phonetic similarly between the first and second graphemes when the first graphemes are vocalized in the first language and the second graphemes are vocalized in the second language, and replace at least one of the first graphemes in the interface with the associated second graphemes such that the interface is adapted to display the second graphemes in the second language, the second graphemes being understandable in the first language when the second graphemes are vocalized.
Systems and methods for software automation are provided. Software testcases are distributed across multiple data processing systems (equivalently, \"machines\" or \"hosts\") that may collectively include multiple platforms (equivalently, \"operating systems\"). A testcase may be executed as one or more processes progressing through a sequence of phases, with execution within a phase being asynchronous among processes. Synchronization of the testcase processes across the data processing systems and platforms may be effected by managing an event; the testcase processes block on the event upon completion of the current testcase phase. A testcase phase execution service on each host handles synchronization events. The definition of the testcase may include metadata that identifies the particular phases in sequence, that is phase names, for the testcase; the phase names identifies the phases to the synchronization process that triggers the synchronization events which initiate each succeeding phase of the testcase.
Apparatus and methods for high-level neuromorphic network description (HLND) using tags. The framework may be used to define nodes types, define node-to-node connection types, instantiate node instances for different node types, and/or generate instances of connection types between these nodes. The HLND format may be used to define nodes types, define node-to-node connection types, instantiate node instances for different node types, dynamically identify and/or select network subsets using tags, and/or generate instances of one or more connections between these nodes using such subsets. To facilitate the HLND operation and disambiguation, individual elements of the network (e.g., nodes, extensions, connections, I/O ports) may be assigned at least one unique tag. The tags may be used to identify and/or refer to respective network elements. The HLND kernel may comprises an interface to Elementary Network Description.
A method of updating computer software includes identifying an orphaned computer file in a second version of computer software, the orphaned computer file having a name that does not correspond to any name of a computer file in a first version of computer software and computing symmetric divergence between the orphaned computer file and each computer file in the first version of computer software. The method also includes choosing a file from the computer files in the first version of computer software that yields a minimum value of symmetric divergence between the file and the orphaned computer file and using the file as a reference file for compressing the orphaned computer file.
The use of machine learning for pattern recognition in magnetocardiography (MCG) that measures magnetic fields emitted by the electrophysiological activity of the heart is disclosed herein. Direct kernel methods are used to separate abnormal MCG heart patterns from normal ones. For unsupervised learning, Direct Kernel based Self-Organizing Maps are introduced. For supervised learning Direct Kernel Partial Least Squares and (Direct) Kernel Ridge Regression are used. These results are then compared with classical Support Vector Machines and Kernel Partial Least Squares. The hyper-parameters for these methods are tuned on a validation subset of the training data before testing. Also investigated is the most effective pre-processing, using local, vertical, horizontal and two-dimensional (global) Mahanalobis scaling, wavelet transforms, and variable selection by filtering.
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