122 results about "Global distribution" patented technology

An invention for generating standard description records from multimedia information. The invention utilizes fundamental entity-relation models for the Generic AV DS that classify the entities, the entity attributes, and the relationships in relevant types to describe visual data. It also involves classification of entity attributes into syntactic and semantic attributes. Syntactic attributes can be categorized into different levels: type / technique, global distribution, local structure, and global composition. Semantic attributes can be likewise discretely categorized: generic object, generic scene, specific object, specific scene, abstract object, and abstract scene. The invention further classifies entity relationships into syntactic / semantic categories. Syntactic relationship categories include spatial, temporal, and visual categories. Semantic relationship categories include lexical and predicative categories. Spatial and temporal relationships can be topological or directional; visual relationships can be global, local, or composition; lexical relationships can be synonymy, antonymy, hyponymy / hypernymy, or meronymy / holonymy; and predicative relationships can be actions (events) or states.

The present invention relates to a system and method which employs a globally distributed computer network populated by a plurality of programmable autonomous network objects ("PANOs") to facilitate the storage and delivery of digital information, and services based thereon, to a plurality of globally distributed groups of transient users. In a broader embodiment, the invention provides software that behaves substantially in the manner of a superobject, that causes hardware to behave in a substantially autonomous manner.

A system and method providing a centralized network for facilitating travel reservations and / or services The system comprises a network with hub sites that provide a centralized connection for Global Distribution Systems / Computer Reservation Systems, travel vendors, and travel office point of service terminals The travel office point of service terminals provide a plurality of modules for various travel related applications such as a low fare search module, a computer telephony integration module, a super passenger name record database, a customer database, a trip planning module, a customer relationship management module, a workflow module, and an integrated e-mail booking system.

The invention relates to a novel system and a method for distributed grid supercomputing, which establish globally distributed applications in an organized mode and focus on supercomputing capacity to form an architecture, thereby forming a computing grid consisting of heterogeneous distributed computer systems, implementing communication and computer networks and providing an effective mode for using the prior unorganized internet architecture. The distributed network consists of the fat clients of different operational levels in a network architecture and establishes a communication replacement proposal applicable to the internet, enterprises and social communication framework according to the network standards of a credit expansion grade layer. The system and the method use a NetAlter manager to realize the communication of distributed networks and control the activities and computing of the networks in a plurality of modes such as a point-to-point mode, an off-line mode, an on-line mode and an intelligent equipment mode. The novel system and the method for distributed network supercomputing completely overcome the drawbacks of the prior internet architecture and point-to-point technology and grid computing.

A method of making a hotel reservation includes receiving a reservation request from a booking source, wherein the reservation request is based on an allocation to the booking source from a hotel and wherein the reservation request is price-blind; transmitting the reservation request to the hotel; receiving a confirmation from the hotel; and transmitting the confirmation to the booking source. The booking source can be a consolidator, a travel agent, a tour operator, a Global Distribution System or a wholesaler. The method also includes connecting to the hotel using a web service to transmit the reservation to the hotel. If the reservation request exceeds the allocation, the hotel has an option of accepting the reservation request or declining the reservation request. The method also includes receiving polling inquiries from the booking source prior to transmitting the hotel's confirmation to the booking source. The confirmation from the hotel can be received using a web service. The confirmation can be transmitted to the booking source using a web service. The reservation request can include a “special request.” The method can also include translating parameters of the reservation request from a format of the booking source to a format of the hotel.

A lightweight global distribution mechanism distributes packages within a distributed system. The packages may hold any type of content and may hold contents such as patches, programs, documents or files. The distribution mechanism is lightweight in that it incurs minimal computational and memory overhead. With the distribution mechanism, a package index that identifies packages for installation is stored at a publishing master. Client systems may access and analyze the package index to determine which packages to install. The client systems may hold subscription lists that identify the packages to which the clients subscribe. The packages need not be stored at the publishing master but rather may be stored at separate repositories.

A system and method providing a centralized network for facilitating travel reservations and / or services. The system comprises a network with hub sites that provide a centralized connection for Global Distribution Systems / Computer Reservation Systems, travel vendors, and travel office point of service terminals. The travel office point of service terminals provide a plurality of modules for various travel related applications such as a low fare search module, a computer telephony integration module, a super passenger name record database, a customer database, a trip planning module, a customer relationship management module, a workflow module, and an integrated e-mail booking system.

A process and device to optimize the yield of fluid catalytic cracking products through a reactive stripping process are disclosed. One or more hydrocarbon streams (3) are introduced in an intermediary region of the stripper (1) of a fluid catalytic cracking unit (FCC), from a device that allows a homogeneous distribution with adequate dispersion. This / these stream(s) react(s) with the catalyst of FCC, although its activity is reduced due to the adsorption of hydrocarbons in the reaction zone, generating products that improve and / or change the global distribution of products, providing a refinery profile adequate to meet quality demands and requirements.

A process and device to optimize the yield of fluid catalytic cracking products through a reactive stripping process are disclosed. One or more hydrocarbon streams (3) are introduced in an intermediary region of the stripper (1) of a fluid catalytic cracking unit (FCC), from a device that allows a homogeneous distribution with adequate dispersion. This / these stream(s) react(s) with the catalyst of FCC, although its activity is reduced due to the adsorption of hydrocarbons in the reaction zone, generating products that improve and / or change the global distribution of products, providing a refinery profile adequate to meet quality demands and requirements.

Described is a system and method for matching a customer's offer for travel services with quotes from providers of those travel services in a way that allows the providers to negotiate preferential treatment. An online travel service exchanger receives an offer from a customer for travel services, such as airfare. The online travel service exchanger attempts to satisfy the customer's offer by retrieving from a global distribution system one or more quotes for the identified travel services. Rather than merely requesting quotes from randomly selected airlines, the online travel service exchanger first requests quotes from one preferred airline at a time in descending order of preference until the offer is satisfied. If no preferred airline satisfies the offer, the online travel service exchanger may request quotes from a group of non-preferred airlines. The online travel service exchanger then satisfies, if possible, the offer with one of the quotes from the non-preferred airlines.

Structures and techniques are provided for allowing one or more of the following actions to occur within a Complex Programmable Logic Device (CPLD): (1) Elective use of a fast, allocator-bypassing path (e.g., a fast 5-PT path) in combination with in-block simple or super-allocation; (2) Elective use of an OSM-bypassing path for signals that do not need pin-consistency; (3) Automatic re-routing of output enable signals that corresponding to output signals which are re-routed for pin-consistency purposes; (4) Global distribution of globally-usable output enable signals; (5) Elective use of two-stage steering to develop complex sum-of-clusters terms where fast path or simple allocation will not be sufficient; and (6) Use of unidirectional super-allocation with stage-2 wrap-around in designs having about 24 or less macrocell units per logic block. Techniques are provided for concentrating the development of complex function signals (e.g., ≦80PTs) within singular logic blocks so that the development of such complex function signals does not consume inter-block interconnect resources. One CPLD configuring method includes the machine-implemented steps of first identifying middle-complexity functions that are achievable by combined simple or super-allocation based development in one logic block and fast-path completion in the same or a second logic block; and configuring the CPLD to realize one or more of the functions identified in the first identification step by simple or super-allocation based development in one logic block and fast-path completion in the same or a second logic block.

The invention relates to a method for computing a bound B up to a given confidence level 1-4, of an error in a state vector estimation KSV of a state vector TSV of a physical system as provided by a Kalman filter. The method decomposes the errors of the Kalman solution as a sum of the errors due to each of the measurement types used in the filter, In addition, the contribution of each type of measurement is bounded by a multivariate t-distribution that considers the error terms from all the epochs processed. Then, the method implements three main operations:computing a probability distribution of the measurement errors for each epoch and measurement type;summing the previous distributions to obtain a global distribution that models the Kalman solution error; andcomputing the error bound B for a given confidence level from the resulting distribution.

The invention provides clustering typical daily load curve selecting method and device. The method comprises the following steps: reading a curve within a time span, determining the number k of typical daily load curves, and selecting k curves as a set center; classifying the curves into a set (S3) nearest to the set center; and calculating a new set center, determining whether the new set center is the same as the previous set center or not, determining whether the difference with the previous target function is within a preset range or not if the new set center is not the same as the previous set center, returning to the S3 if the difference is not within the preset range, and defining the curves in each set nearest to the set center as the typical daily load curves if the new set center is the same as the previous set center or the difference of the previous target function is within the preset range. The method ensures that all the daily load curves are grasped on the basis of a clustering thought; the generated samples inside the set are similar, while the samples in different sets are different, so that the discovery of a global distribution mode is facilitated, single index calculation or averaging processing is avoided, the influence of random and subjective factors can be reduced, and the sensitivity of directly extracting a single curve on bad data is reduced, therefore, the method is more suitable for discovering potential regulation of large-scale data, and can be used for characterizing the whole regulation better.

Exemplary embodiments of the invention relate to a method, system, and storage medium for predicting passenger flow at a transportation facility. The method includes includes receiving passenger reservation data from a global distribution system. The method also includes receiving transportation facility-specific data, parsing the passenger reservation data and the transportation facility-specific data, and storing the results in a data repository. In response to a request for passenger flow information from a requester, the method further includes extracting selected data from the data repository according to the request, performing an analysis on the selected data, and making the results of the analysis on accessible for access by the requester.

A method of making a hotel reservation includes receiving a reservation request from a booking source, wherein the reservation request is based on an allocation to the booking source from a hotel and wherein the reservation request is price-blind; transmitting the reservation request to the hotel; receiving a confirmation from the hotel; and transmitting the confirmation to the booking source. The booking source can be a consolidator, a travel agent, a tour operator, a Global Distribution System or a wholesaler. The method also includes connecting to the hotel using a web service to transmit the reservation to the hotel. If the reservation request exceeds the allocation, the hotel has an option of accepting the reservation request or declining the reservation request. The method also includes receiving polling inquiries from the booking source prior to transmitting the hotel's confirmation to the booking source. The confirmation from the hotel can be received using a web service. The confirmation can be transmitted to the booking source using a web service. The reservation request can include a “special request.” The method can also include translating parameters of the reservation request from a format of the booking source to a format of the hotel.

Systems, apparatus, methods, and computer program products for tagging, data collection and content delivery within a distributed computing network environment. The invention provides for data to be collected from multiple third party entities, as well as internal entities analyzed, integrated and optimized at a an edge server within the distributed computing network, such that processing occurs at a location that is geographically proximate to the user / customer. Such processing within a distributed network allows for data to be optimized within the timeframe of user's website experience, in which user interaction data is collected, or within real-time or near real-time of the user's website experience.

The invention discloses a multi-source remote sensing image classification method based on a robust deep semantic segmentation network (Robust Loss Function of Remote Sensing Imagery, RSRLF). The method is formed by recombining a fault tolerance loss function and an adaptive category weight. Remote sensing semantic segmentation is carried out based on the open source land cover classification dataset so that sample annotation work can be greatly reduced, but the open source land cover classification data set contains a certain annotation error sample. The method is advantaged in that the fault tolerance loss function can inhibit the model from learning the noise label, and avoids the over-fitting of the noise label by the model; and a category equalization constraint module can solve problems of large scale difference of globally distributed samples of ground object categories and inconsistent confusion degree among the categories; combination of the two can effectively solve a problem that noise labels and category samples are unbalanced when remote sensing semantic segmentation is carried out by using an open source land cover classification data set, and ground object classification precision based on an open source land cover classification data set is improved.

The invention disclose a credible service combination method based on discretization global distribution search. A credible service combination model relates to the method and the method comprises a discrete Gbest-guided artificial bee colony algorithm DGABC. In terms of the credible service combination model, the problem of a service combination is converted into the problem of non-linear integer programming by introducing a time attenuation function; the DGABC algorithm finishes searching for the optimal service combination scheme through bee colonies searching for food sources. According to the credible service combination method based on discretization global distribution search, evaluation of the service quality better conforms to the features of the current service, especially under the condition of distributed large-scale data, the better credible service combination scheme can be obtained within a short time and a novel thinking path is provided for ensuring the service quality under the cloud computing environment.

The invention discloses a face recognition method based on structuralized factor analysis. The problem that the face recognition accuracy rate is low due to the fact that local clustering features and a global distribution structure of face image data cannot be kept in the prior art is mainly solved. The face recognition method comprises the achieving steps of 1 dividing a face image data set; 2 performing clustering analysis on all training sample data; 3 calculating an optimal feature projection matrix through Gibbs sampling; 4 extracting low-dimension features of all test sample data and the training sample data; 5 recognizing a face image. The face recognition method synthesizes the local clustering features and the global distribution structure of the face image data and improves the face recognition accuracy rate.

The invention provides a thickener underflow concentration prediction method based on a mixing model, Aiming at the problem that it is difficult to measure the underflow concentration on-line in hydrometallurgy dense washing process, On the basis of in-depth analysis of the characteristics of dense scrubbing process, a hybrid modeling method combining mechanism modeling and three-layer ELM error compensation model based on global distribution optimization algorithm is used to realize the accurate measurement of underflow concentration in dense scrubbing process.

This patent document describes systems and methods for tracking the usage of a service provided by a distributed computing platform and for the enforcement of a global quota against such usage. In one embodiment, Servers in the platform are organized in a hierarchical manner. At the lowest tier resides a set of globally distributed servers, any one of which may receive and respond to client device requests. Multiple tiers of aggregation servers sit above the above the delivery tier. The first tier of aggregation servers receive usage measurements from the delivery tier. The second and higher tiers aggregate the usage measurements from lower tiers until a world level tier combines all usage measurements for a given service. Preferably, usage information is passed between servers in synchronization events. The systems and methods described herein are scalable, low latency, fault-tolerant, and incur relatively low computing overhead.

A system and method are provided for maintaining updated passenger travel records across multiple system platforms. A network server is adapted to receive input data from a passenger including an indication that the passenger desires to purchase tickets or make reservations for travel related services. A booking engine acts to purchase the ticket or book the reservation and request and receive a copy of a passenger name record created by a global distribution system. The booking engine then forwards a copy of the received passenger name record to the database. The database is adapted to form an association between the received copy of the passenger name record and the input data received from the passenger, and store the copy of the passenger name record. The database may further perform a comparison between the input data and the received passenger name record to identify discrepancies.

A method and system for querying travel-related data wherein a computer-readable storage medium comprises one or more programming instructions for: receiving a request for flight information; searching a plurality of Global Distribution System (GDS) databases or at least one airline database directly in accordance with the request; sending at least one result from the plurality of GDS databases corresponding to the request, the at least one result including at least one of an available flight upgrade or an available flight award; and sending at least one result from the plurality of GDS databases corresponding to the plurality of requests for alerts related to availability of a seat upgrade, availability of a flight upgrade, and / or availability of further flight rewards.

The invention discloses an identity authentication method based on a finger vein, which comprises the following steps: pre-processing the received finger vein image to be identified to obtain a pre-processed image; Convolution calculation is carried out on the preprocessed image, and characteristic point map and vein pattern map are generated according to the obtained convolution value. Accordingto the eigenvalue size and coordinate information of the feature points in the feature point map, the feature points in the feature point map are selected globally according to the preset conditions,and the feature points with high eigenvalue in the global distribution are taken as the feature points to be matched. The vein pattern and template image are matched and compared according to the feature points to be matched, and the identity authentication result is generated according to the matched result. This method extracts feature points from global and local features to obtain globally distributed feature points with high eigenvalues, which can improve the accuracy of vein texture recognition and generate high-precision recognition results. The invention also discloses an identity authentication device e based on a finger vein and equipment, which have the beneficial effects mentioned above.

A global distribution system (GDS) organized for searching travel deals from a plurality of travel vendor fare databases (250) accessible by the GDS (200), includes: a travel multi-vendor search engine (TMVSE) operating on any database of the plurality of travel vendor fare databases; and a travel deal tracker (TDT) associated to the TMVSE (240), the TDT (270) providing directions to the TMVSE to limit the number of required transactions needed to obtain the searched travel deals.

The invention provides a discriminant sparse preserving embedding method for unconstrained face recognition, 1) calculating a sample reconstruction relation matrix W, when calculating the sparse reconstructed relation of samples, the class label is introduced to construct the intra-class reconstructed relation matrix and inter-class reconstructed relation matrix respectively, and the intra-class and inter-class compactness constraint is added in the sparse reconstructed stage, which effectively increases the reconstructed relation between the samples to be tested and the same kind of samples,and weakens the reconstructed relation between the samples to be tested and the heterogeneous samples. 2) When calculating the low-dimensional projection matrix P and the low-dimensional projection matrix, the global constraint factor is added, which not only considers the local sparse relation of the sample, but also considers the global distribution characteristic, further weakens the disturbance of the heterogeneous pseudo-nearest neighbor sample to the low-dimensional projection, and more accurately excavates the essential structure of the low-dimensional manifold hidden in the complex redundant data; 3) The low-dimensional linear mapping of high-dimensional sample data is realized, which greatly improves the accuracy of face recognition in unconstrained environment.

Methods, systems, and computer program products for maintaining up-to-date pre-computed search results, such as travel recommendations, stored in a data cache maintained, for example, by a global distribution system. Pre-computed search results are re-computed to provide long-term accuracy. A re-computation controller assigns a re-computation indicator to any of the pre-computed search results. The re-computation indicator for a pre-computed search result is based on at least on a probability that the pre-computed search result is still valid, and on a re-computation frequency of the search result. Within a given time interval, a computation platform re-computes these pre-computed search results having a re-computation indicator indicating the highest need for re-computation. The number of pre-computed search results re-computed by the computation platform is limited by the computation resources of the computation platform that are available for the re-computation within the given time interval.

A multi-scale OGLPE feature extraction method applied to inverter faults comprises the following steps of S1, collecting the original three-phase current signals, and obtaining the current deviation signals by combining with reference current signals; S2, performing multi-scale decomposition on the current deviation signal under each state by using an integrated empirical mode decomposition (EEMD)method to obtain intrinsic mode IMF components under different scales; S3, adaptively extracting sensitive features embedded in each IMF component by using an orthogonal global and local preserving embedded OGLPE feature extraction method to form a fault feature set. According to the method, the problems of insufficient functionality and limitation caused by only considering global distribution characteristics or local structure retention characteristics in the prior art are solved.

The method according to a preferred embodiment of the present invention allows an improved travel request service to end-users who request proposals for a trip from a Global Distribution System (GDS). This uses a new travel request which comprises a wider range for each search parameter than previous travel requests from the prior art. The new travel request includes many different ranges of parameters in the same travel request whereas the prior art travel request has to be repeated for each different requested value for each search parameter. The method according to a preferred embodiment of the present invention provides a combination of two modules, a master module and a worker module, to carry out the improved travel request service.