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143 results about "Window selection" patented technology

X Window selection. Selections, cut buffers, and drag-and-drop are the mechanisms used in the X Window System to allow a user to transfer data from one window to another. Selections and cut buffer are typically used when a user selects text or some other data in a window and pastes in another one.

Product selection expert system

The invention includes a system for product selection, the system including: a CPU; a memory operatively connected to the CPU, the memory containing a program adapted to be executed by the CPU and the CPU and memory cooperatively adapted for presenting a user interface and expert interface to an expert system for product selection; a expert-interface code segment embodied on a computer-readable medium configured and adapted for: creating and modifying via a graphical user interface a graphically-displayed tree structure representing a plurality of product applications; associating and modifying via a graphical user interface one or more use condition with each node of the tree structure; and associating and modifying via a graphical user interface one or more suitability ratings for a plurality of applications; creating and modifying via a graphical user interface a list of products associating and modifying via a graphical user interface one or more product with each leaf node of the tree structure; associating via a graphical user interface use condition choices with each product associating via a graphical user interface suitability ratings for each product a user-interface code segment embodied on a computer-readable medium configured and adapted for selecting via a graphical-use interface a path in the tree structure, and for displaying on the same window of the graphical-use interface: the products associated with the leaf node of the selected path; the use conditions associated with each node of the selected path; and the product usability suitability indicators associated with each node of the selected path; selecting via the same window of the graphical-use interface one or more of the use conditions associated with the nodes of the selected path and for entering the user-defined relative importance of the product usability suitability indicators for the intended application of the products associated with the leaf nodes of the selected path; comparing the selected use conditions with the displayed products, where products not having such selected use conditions as attributes are filtered out of the displayed list of products; comparing the entered relative importance of the product usability suitability indicators with the product usability suitability indicators associated with the displayed products, associating a score with each displayed product indicating the correlation of the comparison, and displaying the score with the product; and printing the resulting product list, corresponding suitability scores, selected tree path, selected use conditions, and entered relative importance of product usability suitability indicators.
Owner:CHEVROU USA INC

VANET (vehicular ad-hoc network) media access control method

The invention discloses a VANET (vehicular ad-hoc network) media access control method. The VANET media access control method comprises the following steps of: distributing a special code path, namely a broadcasting code path, for broadcasting traffic safety information; dividing a busy-tone channel from a physical channel, so that a node transmits a busy-tone signal to notify a neighbor node that a current broadcasting code channel is occupied through the busy-tone channel, therefore, the problem of a hidden terminal on the broadcasting code channel is solved; simultaneously, placing a traffic safety information broadcast on a preferential position so as to ensure the timeliness of the traffic safety information broadcast; avoiding the increase of a window selection region by selecting K time slots as an advanced preferential competition time slot, and reducing the probability of selecting windows with the same size through a plurality of nodes so as to reduce confliction probability and reduce node access delay; simultaneously, integrally planning the time to be periodical control frames and data frames so that node-associated information can be periodically updated and can better adapt to the change of a vehicle network dynamic topologic structure; and finally, effectively improving the network throughput rate of the VANET by utilizing a DS-CDMA (direct sequence -code division multiple access) multi-address access advantage.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Product selection expert system

InactiveUS20050203860A1Quickly expert knowledgeAssure product integrityCathode-ray tube indicatorsKnowledge representationWindow selectionUsability
The invention includes a system for product selection, the system including: a CPU; a memory operatively connected to the CPU, the memory containing a program adapted to be executed by the CPU and the CPU and memory cooperatively adapted for presenting a user interface and expert interface to an expert system for product selection; a expert-interface code segment embodied on a computer-readable medium configured and adapted for: creating and modifying via a graphical user interface a graphically-displayed tree structure representing a plurality of product applications; associating and modifying via a graphical user interface one or more use condition with each node of the tree structure; and associating and modifying via a graphical user interface one or more suitability ratings for a plurality of applications; creating and modifying via a graphical user interface a list of products associating and modifying via a graphical user interface one or more product with each leaf node of the tree structure; associating via a graphical user interface use condition choices with each product associating via a graphical user interface suitability ratings for each product a user-interface code segment embodied on a computer-readable medium configured and adapted for selecting via a graphical-use interface a path in the tree structure, and for displaying on the same window of the graphical-use interface: the products associated with the leaf node of the selected path; the use conditions associated with each node of the selected path; and the product usability suitability indicators associated with each node of the selected path; selecting via the same window of the graphical-use interface one or more of the use conditions associated with the nodes of the selected path and for entering the user-defined relative importance of the product usability suitability indicators for the intended application of the products associated with the leaf nodes of the selected path; comparing the selected use conditions with the displayed products, where products not having such selected use conditions as attributes are filtered out of the displayed list of products; comparing the entered relative importance of the product usability suitability indicators with the product usability suitability indicators associated with the displayed products, associating a score with each displayed product indicating the correlation of the comparison, and displaying the score with the product; and printing the resulting product list, corresponding suitability scores, selected tree path, selected use conditions, and entered relative importance of product usability suitability indicators.
Owner:CHEVROU USA INC

Remote-sensing image building detection method based on multi-scale and multi-characteristic fusion

ActiveCN107092871AEfficient and accurate automatic detectionHigh precisionCharacter and pattern recognitionWindow selectionComputer science
The invention discloses a remote-sensing image building detection method based on multi-scale and multi-characteristic fusion. The method comprises steps that through high resolution remote-sensing image downsampling, an image pyramid formed by images in different scales is acquired; edge images of the image pyramid are calculated; a characteristic model is established through multi-set characteristic calculation and fusion of the edge images in different scales; according to the characteristic model and neighborhood local non-maximum inhibition, window selection is carried out to acquire a target window; small-scope expansion/contraction calculation of the target window is carried out to acquire a rectangular window; the rectangular window is turned according to a main direction of the target window to acquire an optimal target window, and a building is extracted according to the optimal target window. The method is advantaged in that multi-scale building detection on the Gaussian pyramid image is carried out, universality of detection on buildings different in sizes, shapes and directions is realized, and automatic building detection precision and efficiency are effectively improved.
Owner:CHONGQING GEOMATICS & REMOTE SENSING CENT +1

24-hour electric power load prediction method

The invention provides a 24-hour electric power load prediction method. The method comprises steps of data collection and data pre-processing, effective characteristics are calculated through the characteristic entropy weight, in combination with the window selection method, the 24-hour power load condition in the fixed time is selected as input data of DBN network training, the DBN network structure is determined, a network model is established, the network model is trained and tested through the DBN, characteristic value data of the prediction day and a 24-hour power load value of one day ofseveral days before the prediction day selected by the window selection method are inputted to obtain the electric power load value result of the prediction day, reasonable initialization of the weight is carried out through pre-training of the 2-layer RBM network layer, adjustment is carried out through the BP network layer, no shortcomings such as over-fitting occur, the characteristic entropyweight method is utilized to extract factors affecting the electric power load, the corresponding weight is calculated, and each factor is quantified to obtain the influence weight for the electric power load. The window selection method is proposed to improve prediction accuracy, and the prediction effect is better than an electric power load prediction model in the prior art.
Owner:STATE GRID CHONGQING ELECTRIC POWER +1
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