134 results about "Mutual dependence" patented technology

A system and method for content-filtering of data containers in a network supporting versatile communications services are disclosed. The content-filtering system is integrated with a content-adaptation system. Several server units handle data containers formulated at source according to different protocols. A content filtering process relies on characterizing each component of a container to produce a set of content descriptors and producing a set of binary conditions for each component according to a preset criterion for each descriptor. A set of rules is devised where each rule applies a respective Boolean expression to a subset of the conditions to prescribe a respective content-editing action. Methods of specifying and evaluating a rule's Boolean expression are disclosed. A formal graph is used to define inter-dependence of rules.

System and method for asynchronous distributed optimization of an enterprise. The system includes multiple computer systems coupled over a network, which store and implement multiple models, including one or more dynamic models representing respective sub-systems or processes of the enterprise. At least two of the models are interdependent. The system also includes an optimizing system that includes multiple optimizers, at least two of which are interdependent, and constraints and/or objectives, and is operable to receive information related to the enterprise from multiple information sources, and use one or more of the plurality of models to generate a solution subject to the one or more constraints and/or objectives, which is usable in managing the enterprise. Some or all of the system operates in an asynchronous manner. Various portions of the system, e.g., the models, data sources, optimizers, constraints and/or objectives, etc., may be updated, e.g., asynchronously, as desired.

There are many inventions described and illustrated herein. In one aspect, the present invention is directed to a technique of, and system for simulating, verifying, inspecting, characterizing, determining and/or evaluating the lithographic designs, techniques and/or systems, and/or individual functions performed thereby or components used therein. In one embodiment, the present invention is a system and method that accelerates lithography simulation, inspection, characterization and/or evaluation of the optical characteristics and/or properties, as well as the effects and/or interactions of lithographic systems and processing techniques. In this regard, in one embodiment, the present invention employs a lithography simulation system architecture, including application-specific hardware accelerators, and a processing technique to accelerate and facilitate verification, characterization and/or inspection of a mask design, for example, RET design, including detailed simulation and characterization of the entire lithography process to verify that the design achieves and/or provides the desired results on final wafer pattern. The system includes: (1) general purpose-type computing device(s) to perform the case-based logic having branches and inter-dependency in the data handling and (2) accelerator subsystems to perform a majority of the computation intensive tasks.

The invention is directed to providing threat and risk analysis for a network that has a high degree of inter-relationships and interdependencies among the assets comprising it, using a “cut set” enumeration method. The identified cut sets are used as the basis to the threat and risk analysis, since each cut set may affect the traffic between two dependent assets in the network, and thereby affect the security state of the dependent assets themselves. The affected security state may be confidentiality, integrity, availability, or other network or security relevant parameter.

Embodiments of a system and method for providing class dependency graph-based class loading and reloading may be used to segregate namespaces in a graph-centric way, and may provide a set of normalized topologies that may be used to efficiently support hot-swapping of programmatic logic such as classes, applets, and beans, among other applications. Embodiments may provide a domain-independent, flexible and robust namespace segregation technique that is based on the dependency between the various classes and not on details like the roles the classes play. The problem of segregating namespaces is formulated as a graph theory problem, and a solution is sought through graph techniques. The graph may be normalized by identifying and grouping interdependent classes and non-interdependent classes in separate groups. A directed dependency relationship of the groups may be determined using the relationships between the member classes of the groups.

The objective of the invention is a bi-level method for modeling geometric tolerances compatible with the ANSI/ASME tolerance standard. At the local level, the model represents each tolerance-zone for a plane or an axis (line) as a tolerance map, and it includes the computational techniques that relate interdependencies between these regions and subregions within them. The model includes formulations for variations in size, form, orientation, position, and runout, and combinations of these, because all of these variations can be modeled using points, lines, and planes. Since variations in simple profiles that are formed from lines and circular arcs also can be described by such combinations, they too are includable in the formulation. The primary method is to overlay the geometry of tolerance-zones onto some traditional modes for representing planes, lines, and points. At the global level, the model inter-relates all frames of reference on a part or an assembly.

A system and method for use in managing and preparing for scheduled procedures that are characterized as being interdependent and variable. The disclosed method enables schedule risk management and provides a look-ahead capability along with process diagnostics to isolate specific assets and tasks that can be managed to reduce schedule risk. The method facilitates review of upcoming tasks by the process stakeholders for education as to where the schedule risks reside and in an emulation mode for review and improved scheduling going forward. Clinical workflow is integrated such that process stakeholders and assets are directed in such a way as to keep on, reduce delay risk or recover the schedule.

A framework that allows a transition from a conventional object method invocation model to a services model, where services are explicitly represented and managed before actually being invoked is described. According to one aspect of the invention, a runtime configurable component-based system is described having a plurality of services. Each service includes a set of properties describing the service. The properties include at least, a set of configuration properties to describe functionalities of the service, a lifecycle property to describe a state transition flow of the service for a specific runtime instance, a state property to describe each state in the lifecycle, and a set of dependency properties to describe inter-dependencies of the service with other services of the plurality of services while within a specific state in the lifecycle.

The present invention is an installation script generation engine. An application component distribution system can include a repository of semantic models for interdependent ones of application components. A mapping of individual listings in the semantic models to target platform specific installation instructions further can be included. Finally, a script generation engine can be configured to produce a target specific set of instructions for a specified application component based upon a mapping of at least one of the semantic models in the repository. Notably, each of the semantic models can include a listing of component relationships, target platform requirements and platform neutral installation instructions. Moreover, the component relationships can include at least one component relationship selected from the group consisting of a containment relationship, a usage relationship, a contradiction relationship, and an equivalence relationship. Finally, a Web services interface to the repository can be configured to permit remote access to the repository.

A system and method for combining conclusions from multiple fault detection techniques to isolate likely faults in a turbine engine is provided. The system and method provide the ability to effectively deal with multiple concurrent faults in the engine. Additionally, the embodiments of the invention provide the ability to correctly characterize multiple conclusions generated from evidence having different levels of interdependence. In one embodiment, the conclusions based on device data with high dependency are aggregated using a high dependency aggregation rule, and the resulting high-dependency sets are then further aggregated using a weak dependency rule. Finally, any conclusions based on independent evidence can be aggregated using an independent combination rule. The resulting aggregation determines which fault(s) are most likely indicated by the plurality of conclusions, taken into account the dependency of the device data used to generate the conclusions.

The present invention extends to methods, systems, and computer program products for determining capability interdependency and analyzing risks in business architectures. Accordingly, embodiments of the invention can be used to drive an understanding of the relative interdependency (complexity) of a capability and how capabilities impact one another. Connectedness and/or data exchanged between capabilities can be used to formulate relative interdependency (complexity) of a capability and can be analyzed to inform a number of strategies from data architecture and business intelligence and project risk. Other risk/impact analysis data can be combined with interdependency (complexity) to present risk/impact analysis scenarios for organizations.

Various components of the present invention are collectively designated as Analysis of Variables Through Analog Representation (AVATAR). It is a method, processes, and apparatus for measurement and analysis of variables of different type and origin. AVATAR offers an analog solution to those problems of the analysis of variables which are normally handled by digital means. The invention allows (a) the improved perception of the measurements through geometrical analogies, (b) effective solutions of the existing computational problems of the order statistic methods, and (c) extended applicability of these methods to analysis of variables. The invention employs transformation of discrete or continuous variables into normalized continuous scalar fields, that is, into objects with mathematical properties of density and/or cumulative distribution functions. In addition to dependence on the displacement coordinates (thresholds), these objects can also depend on other parameters, including spatial coordinates (e.g., if the incoming variables are themselves scalar or vector fields), and/or time (if the variables depend on time). Moreover, this transformation of the measured variables may be implemented with respect to any reference variable. Thus, the values of the reference variable provide a common unit, or standard, for measuring and comparison of variables of different natures, for assessment of mutual dependence of these variables, and for evaluation of changes in the variables and their dependence with time. The invention enables, on a consistent general basis, a variety of new techniques for analysis of variables, which can be implemented through various physical means in continuous action machines as well as through digital means or computer calculations. Several of the elements of these new techniques do have digital counterparts, such as some rank order techniques in digital signal and image processing. However, this invention significantly extends the scope and applicability of these techniques and enables their analog implementation. The invention also introduces a wide range of signal analysis tools which do not exist, and cannot be defined, in the digital domain. In addition, by the present invention, all existing techniques for statistical processing of data, and for studying probability fluxes, are made applicable to analysis of any variable.

The invention provides a link prediction system and method for a social network, and belongs to the field of data mining and social network analysis. On the basis of online users and a user friendly relational network, a social network link prediction model is constructed from the three aspects of user focused interests, information interaction and common adjacency users. The method comprises the steps that firstly, for multiple interest label characteristics of users in a social network, an LDA theme model is used for performing modeling on the users, and theme distribution for user behaviors is obtained; secondly, Gaussian weighting is used for modifying standard LDA, and the theme expression ability is improved; finally, by introducing a common adjacency user contribution algorithm defined by hidden naive Bayes, link prediction is performed on synthesis user behavior characteristics and network structure characteristics. The correlative dependence of the common adjacency users is more sufficiently considered, link prediction is performed on synthesis user behavior characteristics and network structure characteristics, and key factors built by links are found.

The present invention relates to a roadside parking space detection device and a detection method thereof. The roadside parking space detection device is characterized in that the device includes a geomagnetism sensor, a radar sensor, a parking space detection processor and a power source management module. The detection method includes the following steps that: the geomagnetism sensor detects geomagnetic field signals on a parking space and transmits geomagnetic field change waveforms to the parking space detection processor; the parking space detection processor judges whether the geomagnetic field change waveforms are ideal waveforms, if the geomagnetic field change waveforms are the ideal waveforms, the parking space detection processor determines a parking condition on the parking space according to a geomagnetic detection mechanism; if the geomagnetic field change waveforms are not the ideal waveforms, a radar detection mechanism is started; and the parking space detection processor determines the parking condition on the parking space according to the detection result of the radar detection mechanism. With the roadside parking space detection device and the detection method thereof of the invention, the organic combination, mutual support and mutual dependence function of the geomagnetism sensor and the radar sensor are realized, and the problem of the inaccuracy of geomagnetic parking space detection in extreme cases can be solved, and the problem of too much power consumption of the radar sensor can be also solved.

A method and system for evaluating internal business investments by estimating decision-factor variations provides a powerful decision-making tool for deciding whether or not to invest in a particular internal business option or for selecting between business investment alternatives. The investment may be a capital investment, a program investment, personnel investment or other business strategy. Variations in cost, benefit, strategic alignment and risk values input to the business decision tool are used to adjust the business value of a business case. The variations can be estimated from data gathered from surveys of personnel rating a confidence or perceived variation from the input values, variations may be estimated in the computed business value due to interdependencies to other adopted or non-adopted business cases, or variations may be estimated based on actual historical collected data on business case performance. Statistical analysis, including real options analysis and/or efficient portfolio analysis can be used to provide a visual or other tool to a system user in order to evaluate multiple business cases.

The invention provides a commodity classifying method based on mutual information. The method comprises the following steps: extracting relevant data from a website server database to contract a training set, wherein the relevant data comprise all commodity titles and corresponding commodity classes in a certain electronic business website; segmenting the commodity name of a new commodity to obtain all feature words of the commodity name; calculating the sum of the relevancy values of all the feature words of the commodity in each commodity class by taking the sum of the relevancy values of all the feature words of the commodity in one commodity class as the score of the commodity in the commodity class, wherein a commodity class with the highest score is taken as the class of the commodity. By adopting the method, mutual dependence among each feature word during commodity classification is avoided; the situation of intersection of data in each class is eliminated, and the calculated amount is reduced.

The invention belongs to the technical field of semiconductor optoelectronic materials, and in particular relates to a BeZnOS compound semiconductor material, its preparation method and application. The BeZnOS material provided by the present invention is a quaternary compound semiconductor material obtained by solid solution of BeO and ZnS in a certain proportion. Through the synergistic effect of compound substitution of Be and S, not only can the bandgap of ZnO be adjusted more freely, but also play a role Increase the solubility of the substituting elements Be and S in ZnO and eliminate the effect of mutual restraint between the band gap of the solid solution and the adjustment of the lattice constant. The BeZnOS quaternary compound is a wide bandgap semiconductor with freely adjustable bandgap, and can be used for light-emitting devices or photodetection devices in ultraviolet to solar blind regions. The BeZnOS compound semiconductor material provided by the invention can be grown by various methods such as pulse laser deposition, magnetron sputtering, electron beam evaporation, etc., and the equipment and operation process are simple. The BeZnOS single crystal thin film material provided by the invention is successfully synthesized for the first time in the world, and has very important significance for the development of ZnO-based optoelectronic devices with adjustable wavelength.

The invention discloses a method and a device for realizing the hot plugging of application components. The method comprises the steps: a weak dependency component is mirrored into a memory, when theweak dependency component is updated, the updated weak dependency component is mirrored into the memory once again so as to obtain an updated corresponding mirror component, and when the weak dependency component needs to be invoked, the corresponding mirror component thereof is invoked; a strong dependency component is divided into different component groups according to the mutual dependency relationship thereof, different component groups are loaded to different application domains, when one strong dependency component is updated, the application domain corresponding to the component groupin which the strong dependency component is present is unloaded and the component group in which the updated strong dependency component is present is loaded into the newly-established application domain, and when the strong dependency component needs to be invoked, the strong dependency component is invoked in the application domain corresponding thereto. The technical solution of the method canimplement the hot plugging on the application components and, unlike the prior art, has no need of not only restarting IIS, but also interrupting the operation from a client.