1486 results about "Collocation" patented technology

The present invention provides a system and method to provide a measurement of the risk that a computer network may have to computer security threats. The system includes a collocation facility that is coupled to a plurality of computer security management systems. Some or all of the vulnerability information is reported to the collocation facility. At the collocation facility, this information is compared to a standard. This comparison yields a number or other measurement of that organization's risk in its computer security. The collocation facility can then report this measurement to any information user that wishes to know what the vulnerability is for that organization.

This invention uses linguistic principles, which together can be called Collocational Cohesion (CC), to evaluate and sort documents automatically into one or more user-defined categories, with a specified level of precision and recall. Human readers are not required to review all of the documents in a collection, so this invention can save time and money for any manner of large-scale document processing, including legal discovery, Sarbanes-Oxley compliance, creation and review of archives, and maintenance and monitoring of electronic and other communications. Categories for evaluation are user-defined, not pre-set, so that users can adopt either traditional categories (such as different business activities) or custom, highly specific categories (such as perceived risks or sensitive matters or topics). While the CC process is not itself a general tool for text searches, the application of the CC process to large collections of documents will result in classifications that allow for more efficient indexing and retrieval of information. This invention works by means of linguistic principles. Everyday communication (letters, reports, emails-all kinds of communication in language) does follow the grammatical patterns of a language, but forms of communication also follow other patterns that analysts can specify but that are not obvious to their authors. The CC process uses that additional information for the purposes of its users. Any communication exchange that can be recognized as a particular kind of discourse may be used as a category for classification and assessment. Specific linguistic characteristics that belong to the kind of discourse under study can be asserted and compared with a body of general language, both by inspection and by mathematical tests of significance. These characteristics can then be used to form the roster of words and collocations that specifies the discourse type and defines the category. When such a roster is applied to collections of documents, any document with a sufficient number of connections to the roster will be deemed to be a member of the category Larger documents can be evaluated for clusters of connections, either to identify portions of the larger document for further review, or to subcategorize portions with different linguistic characteristics. The CC process may be extended to create a roster of rosters belonging to many categories, thereby increasing the specificity of evaluation by multilevel application of this invention. The CC process works better than other processes used for document management that rely on non-linguistic means to characterize documents. Simple keyword searches either retrieve too many documents (for general keywords), or not the right documents (because a few keywords cannot adequately define a category), no matter how complex the logic of the search. Application of statistical analysis without attention to linguistic principles cannot be as effective as this invention, because the words of a language are not randomly distributed. The assumptions of statistics, whether simple inferential tests or advanced neural network analysis, are thus not a good fit for language. This invention puts basic principles of language first, and only then applies the speed of computer searches and the power of inferential statistics to the problem of evaluation and categorization of textual documents.

The present invention provides computer implemented methodology that permits the safe landing and recovery of rotorcraft following engine failure. With this invention successful autorotations may be performed from well within the unsafe operating area of the height-velocity profile of a helicopter by employing the fast and robust real-time trajectory optimization algorithm that commands control motion through an intuitive pilot display, or directly in the case of autonomous rotorcraft. The algorithm generates optimal trajectories and control commands via the direct-collocation optimization method, solved using a nonlinear programming problem solver. The control inputs computed are collective pitch and aircraft pitch, which are easily tracked and manipulated by the pilot or converted to control actuator commands for automated operation during autorotation in the case of an autonomous rotorcraft. The formulation of the optimal control problem has been carefully tailored so the solutions resemble those of an expert pilot, accounting for the performance limitations of the rotorcraft and safety concerns.

The invention discloses a firewall system, a safety service platform and a firewall system management method. The firewall system includes a message detection module, a VPN module, a collocation module, an application proxy module, a log module, a heartbeat module and a message redirection module. The safety service platform includes a message detection module, an application proxy module, an anti-virus module, an incursion detection module, a content filtering module, a VPN module, a strategy management module, an event management module, a terminal safety module, an asset management module, a loophole scanning module, a PKI management module and a report module. The management method comprises a registration step, a running log management step, a redirection message management step, and an internal network management step. The invention provides a new firewall system, which not only has the message detection function of a thin firewall system, but also has the VPN function of a fat firewall system, entrusts other safety functions to the safety service platform and receives the management and control of the safety service platform.

The systems and methods described herein are directed at accelerating video encoding using a graphics processing unit. In one aspect, a video encoding system uses both a central processing unit (CPU) and a graphics processing unit (GPU) to perform video encoding. The system implements a technique that enables the GPU to perform motion estimation for video encoding. The technique allows the GPU to perform a motion estimation process in parallel with the video encoding process performed by the CPU. The performance of video encoding using such a system is greatly accelerated as compared to encoding using just the CPU. In another aspect, data related to motion estimation is arranged and provided to the GPU in a way that utilizes the capabilities of the GPU. Data about video frames may be collocated to enable multiple channels of the GPU to process tasks in parallel. The depth buffer of the GPU may be used to consolidate repeated calculations and searching tasks during the motion estimation process. The use of frame collocation and depth buffer enables the GPU to be better utilized and to further accelerate video encoding.

The invention proposes a garment classification and collocation recommending method and a garment classification and collocation recommending system based on a deep convolution neural network. The method comprises the following steps: adding batch-normalized and improved inception structures, adding a redundant classifier to improve an original GoogleNet convolution neural network, and extracting the features of garment images to get the classification result of the garment images; performing image augmentation on a collocation library training set in multiple ways, distorting and turning the garment images and transforming the color space of the garment images, and training an improved GoogleNet convolution neural network classification model; and looking for similar items and collocations thereof in a suit library, generating identity information for each garment image, comparing the identity information to get similar images, and recommending garment collocations according to the gender, style and function information corresponding to the garment images. Corresponding garment collocation advices can be given to consumers according to input garment images. The method and the system have the advantages of high speed and high precision.

Disclosed are a method and a system for executing a query that requires an expensive process, such as a join, between two or more datasets. If each dataset has multiple partitions that are located at multiple sources, then each of the multiple partitions for each dataset must be unioned prior to completing execution of the query. The method and system develop both a query execution plan and at least one alternative query execution plan to indicate when the process should be pushed down below the unions and when the process should be pulled up above the unions based on collocation of partitions. The query execution plan and the alternative query execution plan(s) are embedded in a composite query execution plan which is evaluated and re-evaluated at run time to determine which of the query execution plan and the alternative query execution plan is currently the most efficient plan and the query is executed, accordingly.

The invention provides a dish recommendation system based on data mining and cloud computing service. The method comprises the following steps: 1) receiving a recommendation request input by a user; b) judging whether the user selects a restaurant, and if not, recommending at least one restaurant for the user; c) reading a restaurant template according to the selected restaurant or the recommended restaurant, so as to generate at least one dish collocation scheme based on a dish model; d) scoring the generated at least one dish collocation scheme, wherein scoring standards are selected from at least one of special dish matching judgement, user historical behaviour and evaluation judgement, food material repeatability judgement and user collaborative recommendation weighting; e) selecting a scheme with the highest score and recommending the scheme to the user; f) judging whether the user is satisfied with the recommended scheme, and if not, recommending again until the user is satisfied; and g) updating the dish model, the restaurant model and a user model based on the scheme which the user is satisfied with or not.

A method and computer-readable medium are provided that construct a collocation mistake pattern database for use in writing in a first language by a person whose native language is a second language. The method includes obtaining a bilingual corpus having sentences in first and second languages and extracting second language word pairs from the second language sentences in the corpus. For each second language word pair extracted from the corpus, a corresponding first language word pair is extracted from the corresponding first language sentence in the corpus to determine a correct first language translation for the second language word pair. Also, for each second language word pair extracted from the corpus, a set of combinations of first language translation words corresponding to the second language word pair is created. Finally, for each second language word pair extracted from the corpus, the correct first language translation is removed from the set of combinations of first language translation words such that the set of combinations represent a set of collocation mistake first language word pairs corresponding to the second language word pair.

A system and method of extracting collocation translations is presented. The methods include constructing a collocation translation model using monolingual source and target language corpora as well as bilingual corpus, if available. The collocation translation model employs an expectation maximization algorithm with respect to contextual words surrounding collocations. The collocation translation model can be used later to extract a collocation translation dictionary. Optional filters based on context redundancy and/or bi-directional translation constrain can be used to ensure that only highly reliable collocation translations are included in the dictionary. The constructed collocation translation model and the extracted collocation translation dictionary can be used later for further natural language processing, such as sentence translation.

The invention provides a method for achieving automatic configuration and installation of network device, in particular to a network management system comprising a network management client terminal, a network management server, a software center, a configuration server and a DHCP server for an automatic configuration and installation of a blade server in an internet-based interactive television network. According to an overall network layout, the blade server is subjected to pre-configuration via the client terminal of the network management. According to physical location information of the blade server, a network interface configuration can be obtained via an extended DHCP and the configuration server and the software center is accessible to acquire a logic configuration and to download softwares to carry out automatic configuration and installation , thus achieving a plug-and-play characteristics of the blade server in network. The invention avoids complicated installation and configuration operation of large amount and manual installation and configuration of the local computers one by one in the blade server, thus saving the maintenance and installation cost.

Surgical stereo vision systems and methods for microsurgery are described that enable hand-eye collocation, high resolution, and a large field of view. A digital stereo microscope apparatus, an operating system with a digital stereo microscope, and a method are described using a display unit located over an area of interest such that a human operator places hands, tools, or a combination thereof in the area of interest and views a magnified and augmented live stereo view of the area interest with eyes of the human operator substantially collocated with the hands of the human operator.

The invention discloses an implementation method of mobile terminal access; the method comprises the following steps that a triplet is collocated on a foreground interface; the collocated data is synchronized to a control module of visit of a background operation processor; a gateway main module gets the mobile terminal type and URL of the required visit with the requirement sent by the mobile terminal and the main module inquires about the corresponding mobile number with the user information; the control module of visit inquires about the triplet collocation data and obtains the control pattern of visit with the obtained mobile number, mobile terminal type and the URL of the required visit. The invention of the WAP gateway integrates the fuzzy matching of regular expression to control the visit to the mobile terminal flexibly through the strategy of triplet control of visit; in this way, various combinations of terminal type, number or number segment and object URL can be controlled and the visit to the mobile terminal is effectively controlled.

A system for selecting electronic advertisements from an advertisement pool to match the surrounding content is disclosed. To select advertisements, the system takes an approach to content match that focuses on capturing subtler linguistic associations between the surrounding content and the content of the advertisement. The system of the present invention implements this goal by means of simple and efficient semantic association measures dealing with lexical collocations such as conventional multi-word expressions like “big brother” or “strong tea”. The semantic association measures are used as features for training a machine learning model. In one embodiment, a ranking SVM (Support Vector Machines) trained to identify advertisements relevant to a particular context. The trained machine learning model can then be used to rank advertisements for a particular context by supplying the machine learning model with the semantic association measures for the advertisements and the surrounding context.

A system and method for processing human language input uses collocation information for the language that is not limited to N-gram information for N no greater than a predetermined value. The input is preferably speech input. The system and method preferably recognize at least a portion of the input based on the collocation information.

The invention discloses a virtual decoration combination system for a physical space. The system comprises hardware and software, wherein the hardware mainly comprises a white display space, a plurality of projectors and a terminal server, wherein the plurality of projectors are connected with a multi-path display output interface of the terminal server; and the terminal server is projected to a wall, a floor and furniture within a white display space through the projectors according to the preset picture or video image, so that the wall, the floor, the furniture and the like within the white display space are changed into a plurality of collocation effects. By the virtual decoration combination system, the selected decorative materials can be displayed in real time; and the collocation effects with other materials can be represented in real time. Therefore, great convenience is provided for reasonable selection of decorative materials for consumers. The system can be applied to the places such as fairs and trade shows, is input once, and can be used for a plurality of times, so that the decoration cost of the places is greatly reduced; and different design styles can be represented according to different requirements.

The present invention discloses a method for reporting channel quality indication report by terminal, wherein the method comprises the following procedures: selecting one or a plurality of modes from a full-bandwidth reporting mode, a terminal selection reporting mode and a high-level collocation reporting mode; selecting a reporting unit according to the selected reporting mode; transmitting the channel quality indication report by the terminal to a base station with the selected reporting mode and the selected reporting unit; wherein the full-bandwidth reporting mode is a mode that the terminal reports a whole channel quality condition of one period of continuous bandwidth. The terminal selection reporting mode is a mode that the terminal selects a component carrier frequency or sub-band with best channel quality for reporting according to the channel quality condition of component carrier frequency in the used component carrier frequency. The high-level collocation reporting mode is a mode that the terminal feeds back the channel quality condition of component carrier frequency or sub-band which is requested for being fed back by the base station collocation. The application of the method according to the invention settles the problem that the method of traditional CQI report in the condition of large bandwidth of LTE-A, etc can not be satisfied.

This invention provides a negotiation method and a device for registration method and a safety algorithm of user, in which, the method includes: UPE starts up registration to MME and adds registration information including a safety algorithm onto the MME, which negotiates with the UE to determine a safety algorithm. From this plan we can see that the UPE reports its supported safety algorithm ability by registration to let the safety algorithm negotiation of the user side is finished in the NE of the control side so as to divide the NE function more reasonable, when the UE and UPE have not any common supported safety algorithm, the MME can decide if the UE adhesion process is done before the route collocation process of the user side to reduce signaling interaction number and lighten operation burden of the system and new negotiation of user side safety algorithm between UPE and UE in the re-location of UPE speeds up the connection process of user sides.

The invention discloses a method for judging emotional tendentiousness of a short text. The method comprises the following steps of: A. directly building an emotional dictionary from texts to be analyzed; B. according to the emotional dictionary, judging the emotional polarity of the texts to be analyzed based on a local dependency relationship. The invention aims to provide a feasible scheme which is suitable for texts with non-strict syntaxes, and which can obtain the emotional polarity of phrase collocation. Firstly, the method for automatically building the emotional dictionary does not depend on a large number of external annotation samples, but the emotional dictionary is directly built by data to be analyzed, so that the defects brought by emotional dictionary opening and field content difference can be overcome; secondly, the method adopts a local dependency relationship for analysis, can be suitable for texts with non-strict sentence structures, especially, short texts, and the single characteristic of the invention comprises collocation information, therefore, the method can be applied to the situation that the same emotional identifier words have different emotional polarities in collocation of different contexts.

The embodiment of the invention provides a collocation method of a virtual image, an implementation method of the virtual image, a client side, a server and a management system of the virtual image. The method comprises the following steps that when receiving a virtual image collocation request of a user, the client side outputs and provides a required image model to a user to collocate; the client side acquires collocation data of the image model, wherein the collocation data comprises skeleton movement data and dress-up data; and the client side carries out encoding processing on the collocation data to form virtual image data of the user. According to the collocation method of the extensible virtual image, personalized customization is realized, the showing of the virtual image is close to the actual demand of the user, and an image which the user wants to reflect actually can be accurately expressed.

A copying garbage collector evacuates to a to space the objects in a from space that are referred to by references, including references in previously evacuated objects, that are located outside the from space. It divides the to space into local-allocation buffers (“LABs”), and it adopts one of these as a destination LAB, i.e., as the LAB into which it places the objects that it evacuates. When a destination LAB becomes full, the thread adopts a new LAB as its destination LAB. When a destination LAB's contents fill it to some predetermined fill threshold, that destination LAB becomes the source LAB, i.e., the LAB that the collector scans for references to the collection-set objects. If a previous source LAB's contents has not yet been completely scanned when the collector thus adopts a new source LAB, the previous source LAB is placed on a LAB stack. When no more references to unevacuated collection-set objects remain in its current source LAB, the collector then pops a LAB from its LAB stack on a last-in, first-out basis and adopts that LAB as the source LAB.

The invention provides an intelligent automatic dress collocation recommending method. The method includes the following steps: S1, identifying an image category of an uploaded image according to the image uploaded by a user and a preset image database; S2, identifying image attributes of the uploaded image according to the image category of the uploaded image and a preset image attribute database; S3, according to the image attributes of the uploaded image, the preset image attribute database and a collocation knowledge database, calculating matching scores of all the attributes when the image category of the uploaded image is collocated with other image categories in the preset image database, and displaying collocation results corresponding to higher matching scores. By the intelligent automatic dress collocation recommending method, the collocation results corresponding to the higher matching scores can be displayed, clothes and accessories which can be collocated are automatically provided for user for reference and selection of the user, time for the user to select clothes on line can be shortened greatly, and trouble about thinking of dress collocation is reduced.

The invention discloses a de-anonymization method and system by combining block chain and secret sharing. The method comprises the following steps: a user encrypts the own identity information, and segments a key corresponding to the encrypted identity information through a threshold secret sharing algorithm; the segmented sub-keys are held by various collocation mechanism members, the encrypted identity information and a collocation mechanism member public key and the sub-keys encrypted by the public key are uploaded to the block chain; each collocation mechanism member holding the sub-key recovers the own sub-key and sends the same to a supervision mechanism; the supervision mechanism reconstructs the encryption key according to the sub-keys, thereby decrypting the identity information of the user and realizing the de-anonymization of the user identity. Through the method and system disclosed by the invention, the personal privacy safety problem of the centralized anonymous storage in the traditional social networking service can be solved, and a supervision problem on the anonymous user is further solved.

The invention discloses a text steganography method based on a generative adversarial network. A model regards text steganography as a text sequence generation process, a secret text is effectively steganographed into a generated text through a key mapping table, and meanwhile it is guaranteed that the generated text has the high quality; and a policy gradient optimization generator is used in adversarial training, and finally the generation model can generate a high-quality steganographic text. Compared with a traditional training method, the adversarial learning process can enable the modelto better fit distribution of an overall corpus to generate the more reasonable phrase collocation and long text.

The invention discloses a collocation method for synchronizing network management and network elements and a device thereof, which belongs to the technical field of the network management. The method comprises the following steps: collocation change serial numbers which can be indentified by network management and network elements are set to the network elements, the serial numbers are markers for the changed network element collocation, and are identified through sequence numbers; when the network element collocation is changed, the network elements report the collocation change event to the network management, and the collocation change event comprises collocation change serial numbers and collocation change information; after receiving the collocation change event, the network management synchronizes the network element collocation according to the collocation change serial numbers. The device comprises a serial number change set module, an event change reporting module and a collocation synchronization module. The method and the device improve the reliability of synchronization, and reduce the system resource cost when synchronizing the network management and the network elements.