951 results about "Model system" patented technology

System and methods for intelligent routing of requests from customers to agents where a request is received at a service center from a customer. Identification information related to the customer is accessed. Background information on the customer is retrieved from a storage facility. Task and attitude information about the customer is gathered. A model of the customer is created. Models for at least two agents are created. A performance optimizing calculation is performed that matches the customer model and the models for the at least two agents. A best match agent from the at least two agents is determined based on the matching. The customer request is routed to the best match agent.

A process control system is configured via manipulation of objects that model system components, e.g., sensors, blocks, control processors, historians, workstations, etc. Individual objects include parameters that characterize the underlying components and / or the behavior of the objects themselves. These parameters are derived from the “parents,” from which the objects are created. Derived characteristics need not be defined explicitly but, rather, are defined implicitly or by reference. These derived characteristics may be overridden for an individual object and, thereby, its progeny. Although objects have class-like characteristics (i.e., insofar as they are definitional in nature), they can be created at configuration time, without the need for recompilation.

A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.

A method and apparatus for synchronizing software between computers are disclosed. A software fix manager compares a preferred software inventory with a software inventory from a computer that is to be synchronized and, from this comparison, creates a number of software product synchronizations. An update manager uses the software fix list to apply software product synchronizations to the computer. Preferably, the computer can be brought to the same fix level or product level, if desired, as the preferred software inventory through this process. The software fix manager can place synchronizations in a fix list. There can be multiple software product synchronizations per software product, and the synchronizations can be applied to a computer by removing a software product fix or installing a product software fix. The current invention may also be applied to software products themselves, by installing or removing software products. The present invention potentially has its best application in networks, as numerous target computers or groups of target computers may be synchronized with a preferred software inventory of a model system.

A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

System and method for the indexing and retrieval of semantically annotated information units from a collection of semantically annotated indexed information units in response to a query using an ontology-based IR model. The retrieval method comprises: receiving a semantically annotated query with semantic annotations to individuals or classes within a determined populated base ontology; embedding, as a set of weighted-mentions to individuals or classes within the populated base ontology, the semantically annotated query in a semantic representation space of an ontology-based metric space IR model; obtaining the representation in the semantic representation space for every indexed information unit; computing the Hausdorff distance between the space representation of the query and the space representation of all the indexed information units of the collection; retrieving and ranking, the relevant information units based on the computed Hausdorff distance.

System and method for debt-extinguishment includes one or more processors having at least one memory and an interface coupled to the Internet. The one or more processors are configured to store in the at least one memory a plurality of sub-models including at least two of (i) litigation likelihood sub-model; (ii) litigation severity sub-model; (iii) customer-ability-to-pay sub-model; (iv) offer-acceptance sub-model; and (v) next best offer sub-model. The one or more processors are also configured to receive from a debtor computer, through the Internet and said interface, at least one input containing information corresponding to a debt owed to at least one creditor. The one or more processors are further configured to calculate an offer amount, based on (i) a predetermined formula corresponding to said plurality of sub-models and the (ii) input containing information corresponding to a debt owed to at least one creditor.

Graphene is a single atomic layer of sp2-bonded C atoms densely packed into a two-dimensional honeycomb crystal lattice. A method of forming structurally perfect and defect-free graphene films comprising individual mono crystalline domains with in-plane lateral dimensions of up to 200 μm or more is presented. This is accomplished by controlling the temperature-dependent solubility of interstitial C of a transition metal substrate having a suitable surface structure. At elevated temperatures, C is incorporated into the bulk at higher concentrations. As the substrate is cooled, a lowering of the interstitial C solubility drives a significant amount of C atoms to the surface where graphene islands nucleate and gradually increase in size with continued cooling. Ru(0001) is selected as a model system and electron microscopy is used to observe graphene growth during cooling from elevated temperatures. With controlled cooling, large arrays of macroscopic single-crystalline graphene domains covering the entire transition metal surface are produced. As the graphene domains coalesce to a complete layer, a second graphene layer is formed, etc. By controlling the interstitial C concentration and the cooling rate, graphene layers with thickness up to 10 atomic layers or more are formed in a controlled, layer-by-layer fashion.

A model system for simulating the performance of a subterranean well, starts with a base model wherein input logging data, pressure transient data and PVT data is introduced into the base model. A numerical interpreter then calculates the predicted performance of the well. A match system compares actual performance data with calculated performance data based on the base model through reiterative loop for modifying the base model to provide a match between the actual performance data and the predicted performance data to optimize the base model. The method for generating the optimized performance data in accordance with the subject invention incorporates the steps of introducing known pressure transient data, well logging data and PVT data for the well into a base model and producing a performance prediction from the base model. These results are compared with actual performance data and the model is modified to generate a performance prediction that matches the actual performance for producing an optimized model. The method is particularly useful because it accounts for and adjusts the performance prediction based on non-Darcy factors effecting the fluid parameters in the well.

System, computer-readable medium and method are provided for differencing (diffing) first and second sets of 3D voxel data to identify differences that may exist between the two sets. The system includes a 64-bit processor, a memory, and a display. The memory is loaded with the two sets of 3D voxel data arranged in a 64-tree data structure, wherein an occupied or empty state of each voxel is indicated by 1 bit. The processor executes a 3D voxel diffing algorithm including steps of: (i) aligning the first and second sets of 3D voxel data; (ii) making a one-to-one comparison between each voxel in the first set and a corresponding voxel in the second set to create a diff model that records differences found between the first and second sets; and (iii) displaying the content of the diff model on the display.

The present invention relates to a method for screening therapeutic drugs of schizophrenia using an animal model of the disease. More specifically, this invention relates to a screening method based on the phospholipase C β1 (PLCβ1) knockout mouse as an animal model of schizophrenia with all the major symptoms of the human disease. This knockout mouse exhibits symptoms similar to human schizophrenia such as locomotor hyperactivity, impaired prepulse inhibition of the startle response, lack of barbering and nesting behaviors, socially subordinate status, impaired learning, and lack of type II theta rhythm which has been implicated in working memory. Thus, the knockout mouse of the present invention can be useful as an animal for screening therapeutic drugs against schizophrenia.

The invention discloses a block chain-based electronic copyright protection method, which utilizes a brand-new, decentralized, distributed architecture called block chain and gradually emerging with digital encrypted currencies such as bitcoins. Electronic copyright protection for data calculation methods. The blockchain model usually includes a data layer, a network layer, a consensus layer, etc., which are respectively responsible for completing the tasks of time-stamped data encapsulation, distributed networking propagation mechanism, and consensus algorithm of distributed nodes. At the same time, the application of elliptic curve encryption (ECC), an asymmetric encryption algorithm in the blockchain, requires the use of two different public and private key ciphers for encryption and decryption, which can greatly enhance the security of the copyright database sex. The complete model architecture of the block chain of the present invention makes it have very broad application prospects in the field of electronic copyright protection.

A system configuration manager provides a graphical user interface that allows a system administrator to easily administer configuration settings for different computer systems and platforms on a computer network. The system configuration manager of the present invention allows identifying one system configuration or a settings profile as a "model system". Once the model system is defined, other computer systems may be compared to the model system. Differences between the selected computer systems and the model system are then displayed, and the system configuration manager may be used to update the selected computer systems with configuration settings specified in the model system. Cross-platform support is provided by a configuration mapping mechanism that maps configuration information from one platform to corresponding configuration information for another platform. The configuration mapping mechanism effectively hides the differences between platforms by translating the configuration information from a selected platform to corresponding configuration information for the model system.

The invention discloses an individual credit reporting system establishment method based on a block chain technology. Block encapsulation and distributed management are carried out on individual credit data information by utilization of features of the block chain technology, and the defect that a management center is heavy in load and low in efficiency under intensive management of an individual credit reporting system can be removed. Moreover, an RSA asymmetric cryptographic algorithm is applied to a block chain, the system is very difficult to break by traversing all possible keys, the security of the individual credit reporting system is greatly ensured, and illegal tampering of the credit data can be effectively avoided. According to the method, high-security distributed data sharing among multiple credit databases can be realized, establishment of an intensive individual credit management center can be avoided, and the credit reporting cost is reduced. According to a model system structure with the complete block chain, the method has very wide application prospect in the field of individual credit reporting.

A performance and cost analysis system and method comprises an output system; a calculation system operatively inputting data to the output system, wherein the calculation system is adapted to process system engineering and cost parameters of a system under analysis, make changes to the system engineering and cost parameters of the system under analysis, and calculate effects of factors influencing the system under analysis based on the changes made to the system engineering and cost parameters; an input model system operatively inputting data to the calculation system; and an input data system operatively inputting data to the calculation system and the output system, wherein the output system is adapted to identify changes to the system under analysis based on the calculated effects, and calculate a life cycle cost of the system under analysis based on the identified changes. Preferably, the system under analysis comprises hardware architecture components.

The preferred embodiment provides an ultra-wide band radio frequency real-time location system (RTLS), synchronized with a GPS location system to provide reliable location data, in and around concrete and steel superstructures to a BIM graphic model system, to gather and display worker location data and coordinate its display for use. The RTLS system continuously locates each participant through the use of an active RFID tag and / or GPS location device, which may be placed in a personnel badge and verified. The location system logs the participant locations in a database for real-time information retrieval and upload into a BIM display system.

A system and method for providing balanced, automated regulation of a patient's physiological condition by monitoring at least one physiological parameter and, optionally, monitoring and controlling additional physiological parameters, is disclosed. The system includes a physiological parameter monitor, an intelligent control device and a multi-channel delivery device for providing controlled intravenous delivery of at least two medications that affect the physiological condition being controlled. Control logic in the intelligent control device is derived by an algorithm based on model predictive control. The control logic includes mathematically modeled systems, empirical data systems or a combination thereof. The system of the present invention is optionally included in a networked system to provide centralized data storage and archival of system information as well as data export and query capabilities that can be used for patient file management, health care facility management and medical research.

Data extracted from fluorosphore responses of fluorophore labeled bases in genetic material used in sequencing of unknown fragments from a defined set of for example a model system are converted into a class of block codes that are then employed in a computer-based process to compare and correct preliminary calls of calls of the categorically known genetic material. In a specific embodiment, the Reed-Solomon codes are employed to identify one or more errors as may occur in a finite block of codes. The methodology is also useful to identify elements of a real system containing known elements in the form of a tag. Reed-Solomon sensors may be employed with and in addition to other types of genome sensors.

System and method for compact model algorithms to accurately account for effects of layout-induced changes in nitride liner stress in semiconductor devices. The layout-sensitive compact model algorithms account for the impact of large layout variation on circuits by implementing algorithms for obtaining the correct stress response approximations and layout extraction algorithms for obtaining the correct geometric parameters that drive the stress response. In particular, these algorithms include specific information from search “buckets” that are directionally-oriented and include directionally-specific distance measurements for analyzing in detail the specific shape neighborhood of the semiconductor device. The algorithms are additionally adapted to enable the modeling and stress impact determination of a device having single stress liner film and dual-stress liners (two different liner films that abut at an interface).

The invention relates to a modeling system and method for a visual machine learning training model. The modeling system for a visual machine learning training model includes a process designer, a process analyzer, and a process scheduler, wherein the process designer is used for according to dragging operation of the graphic algorithm component selected by a user, establishing the data flow direction between the algorithms in the graphic algorithm component, and generating the process description language; the process analyzer is used for analyzing the process description language generated from the process designer, creating the corresponding learning component, and generating the corresponding Spark learning pipeline; and the process scheduler is used for submitting the Spark learning pipeline to a Spark cluster to perform model training. By selecting the corresponding graphic algorithm component, establishing the data flow direction between the algorithms through dragging, generating the process description language, analyzing the process description language, creating the corresponding learning components according to the node class name and the attribute, generating the corresponding Spark learning pipeline, and submitting the Spark learning pipeline to the Spark cluster for performing model training, the modeling system and method for a visual machine learning training model can realize high quality machine learning modeling.

Methods and systems of using machine learning to create a trusted model that improves the operation of a computer system controller are provided herein. In some embodiments, a machine learning method includes training a model using input data, extracting the model, and determining whether the model satisfies the trust-related constraints. If the model does not satisfy the trust-related constraint, modifying at least one of: the model using one or more model repair algorithms, the input data using one or more data repair algorithms, or a reward function of the model using one or more reward repair algorithms, and re-training the model using at least one of the modified model, the modified input data, or the modified reward function. If the model satisfies the trust-related constraints, providing the model as a trusted model that enables a computer system controller to perform system actions within predetermined guarantees.

An apparatus and methodology to acquire and organize measured or modeled statistical data into optimal reports with a performance engineering mode of use and a design mode of use. In a performance engineering mode of use, the engineer may select from a set of performance questions, and guided by the apparatus and largely automated, create well-defined answers to the performance questions of interest. A series of template manipulations whereby report objects that are embedded within templates may be defined, reused, modified and improved upon to optimize reports and to aid in a report building process in a design mode of use. Methods are taught for the automatic selection and population of data tables. Column selection and column header information is optimized for relevance to the report design or system question at hand. The automatic joining of data from a variety of data sources is taught that allows for the rapid construction of specific reports from within multiple data tables of different types, structures and formats.

Systems and methods for an associative policy model are provided. One embodiment of the present invention provides a method for implementing an associative policy. In this embodiment, the method includes providing a policy on a policy server, the policy having a service definition that contains first and second relational components, providing first and second network entities, operatively coupling the first and second network entities to the policy server, dynamically associating the first network entity with the second network entity (wherein such associating includes binding the first relational component of the service definition in the policy to the first network entity, and binding the second relational component of the service definition in the policy to the second network entity), and enforcing the policy on the first and second network entities.

The invention relates to an experimental device in the field of natural gas recovery, and particularly relates to a shale gas reservoir recovery simulation experimental device. The shale gas reservoir recovery simulation experimental device comprises a high-pressure gas source system, an injection system, a model system, a thermostat system, a pressure return system and a data acquisition system, wherein an intermediate container in the injection system and a core holding unit in the model system are positioned in a thermostat. The shale gas reservoir recovery simulation experimental device has the advantages that a plate model core clamping device and two full-diameter core clamping devices are connected, the cores of different dimensions are connected in series, multi-scale pore characteristics in the shale gas reservoir can be simulated, the multi-scale characteristics of shale gas seepage influenced by the multi-scale effect are reflected, the recovery process of the shale gas reservoir can be accurately simulated, and recovery mechanisms and recovery dynamics of the shale gas reservoir in different modes can be comprehensively evaluated; and meanwhile, a large-scale shale core adsorption / desorption experiment can be performed by utilizing the experimental device, and a gas adsorption / desorption rule of the large-scale shale core under different conditions is researched.

The invention discloses an ore body modeling system in a digital mine and a modeling and detecting method of the ore body modeling system. The ore body modeling system comprises a multi-source data coupling module, an integration module for various modeling methods, a multi-resolution visualization and detection module and a multi-dimensional space data analysis and application module. The method includes: firstly, acquiring multi-source ore body data and coupling the acquired multi-source ore body data; secondly, establishing various ore body models applicable to mine planning and construction according to the coupled multi-source ore body data; thirdly, visually displaying and detecting coupling results of the multi-source ore body data and establishing processes and results of the various ore body models; and fourthly, analyzing and applying multi-dimensional space data according to the established various ore body models. The ore body models applicable to mine planning and construction can be established, and the multi-dimensional space data can be analyzed and applied.