30 results about "Context type" patented technology

A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used. A filter also generates a contone value. A selector selects between the look-up table contone value and the filter contone value based an image context type.

A method and system prioritizes frames to be transmitted from a local node to a remote node on a Fibre Channel Arbitration Loop. The frames are placed in context queues. Each kind of context queue is assigned a priority. A determination of a set of transmit frame types is made. A user, an external device, or code may determine the number of transmit frame types in the set. A priority is assigned for each of the transmit frame types in the set. The transmit frame types may be determined by context type. The frames are prepared for transmission. The queues are examined by a suitable method to determine order of transmission. The transmit prioritizer preferably comprises five three-entry deep queues in which the prioritizer places valid contexts classified by transmit frame type. Queued contexts are selected for outgoing frame transmission by a prioritization algorithm aimed at saving the current fibre channel loop tenancy to maximize performance whenever possible. The context manager controls context storage and retrieval and the transmit prioritizer selects the context for which frame transfers will be performed.

This application proposes a method, device and equipment for generating vector representations of knowledge graphs, which relate to the field of artificial intelligence technology. The specific implementation scheme is: acquiring knowledge graphs, wherein the knowledge graphs include multiple entity nodes; acquiring the context corresponding to the knowledge graphs type and context data; and generating vector representations corresponding to multiple entity nodes through the context model according to the context data and context type. As a result, a more refined semantic representation of entities in the context is achieved, thereby further improving the accuracy of knowledge graph representation learning.

The invention discloses an application development method and a development and application platform system for operating the method. The method comprises the following steps: application development is divided into single signalling grades, and the application development is performed based on the hierarchical structure that foundation framework class libraries are developed, and various application component AppBean foundation types, application context interfaces and basic context types are defined in the foundation framework class libraries to provide a foundation core function; different AppBean foundation types correspond to different applications and used for processing different signallings; according to the service property, service framework class libraries customized for service are developed on the basis of the foundation framework class libraries; the application for realizing service requirements is developed on the basis of both the foundation framework class libraries and the service framework class libraries; and the developed application is used for resource access on the basis of the application context. The technical scheme provided by the invention solves the problem of complicated application development process.

The invention relates to a camouflage camouflage effect evaluation method, which comprises the following steps: making camouflage material photos of different posture profiles of human figures; making various background material photos; randomly inserting camouflage material photos into preset background material photos One of the 4 to 8 search positions to make a photo to be evaluated; select observers, and make each observer familiar with the experimental process; make each observer judge the different postures of the human figure in the photo to be evaluated within the specified time What kind of posture is the outline, and the judgment result is fed back to the computer. The computer calculates the average judgment accuracy rate and the average reaction time of each camouflage to be evaluated in different background environments. When a camouflage to be evaluated is in a certain If the correct rate of judgment in this background environment is low and the average reaction time is long, the camouflage effect of the camouflage to be evaluated is good in this environmental background; otherwise, the camouflage effect is poor. The invention not only has simple operation, low cost and wide application background, but also can effectively improve the accuracy of the experimental results and effectively increase the comprehensiveness of the experimental results.

The invention discloses an information recommendation method of calculating user preference similarity based on a context ontology tree. According to the method, differential influences of various context types and concrete examples thereof on user preferences are analyzed, and a context-based user preference extraction method is designed; then ontology is utilized to carry semantic expression on contexts, an ontology tree expression-based context similarity calculation method is constructed, and the precision of finding similar user sets in collaborative filtering recommendation is improved; and on the basis of the above-mentioned user preference extraction, the extracted contexts are introduced into a collaborative filtering recommendation process, the similarity between the context user preferences is calculated, a collaborative filtering recommendation method based on user context preference analysis is designed, and problems of sparseness, cold starting and the like of existing recommendation methods are solved.

The embodiment of the invention provides an item recommendation method, which comprises the following steps that: N preference values are determined, wherein each preference value in the N preference values indicates the selection preference degree of a target user in a plurality of users on a target item in a plurality of items under the condition of X context type indications; a preference value tensor is determined according to the N preference values, and (X+2) matrix factors are determined according to the preference value tensor; and the item recommendation is carried out according to the at least one matrix factor in the (X+2) matrix factors. According to the embodiment of the invention, a plurality of matrix factors approaching to the tensor can be determined according to data sparseness preference value tensor values, and then, the item recommendation can be carried out according to the at least one matrix factor. The order of each matrix factor in a plurality of matrix factors is respectively smaller than the order of the initial preference value tensor, so that during the context recommendation, the recommendation accuracy can be ensured, and the calculation complexity is also effectively reduced.