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580results about How to "Flexible response" patented technology

Schedule management system and method for displaying, managing, and changing a schedule and recording medium for storing the same

A schedule management system and method of displaying a schedule of at least a part of a plurality of users on a schedule management apparatus includes a display screen and an input device, and manages personal schedule information registered for each of the plurality of users. The method includes obtaining user identification information which uniquely identifies each of said specified plurality of users, displaying a sum schedule input area on said display screen to input a common schedule to said specified plurality of users in response to said operation, detecting that schedule information including a schedule starting time and a schedule ending time has been inputted in said sum schedule input area, generating a sum schedule number corresponding to the schedule information inputted in said sum schedule input area, registering schedule information inputted in said sum schedule input area as personal schedule information of each of said specified plurality of users and registering said sum schedule number in correlation to said personal schedule information, and displaying a schedule of at least a part of said specified plurality of users based on the personal schedule information of said at least a part of said plurality of users.
Owner:IBM CORP

Neural network photovoltaic power generation output prediction method based on grey correlation analysis

The present invention relates to a neural network photovoltaic power generation output prediction method based on grey correlation analysis, which comprises grey correlation degree analysis, neural network training and output result prediction analysis. In the grey correlation degree analysis, an optimal sample is obtained by computing and sorting grey correlation degrees of hour period samples comprising factors which influence the photovoltaic output; according to the neural network training, the optical sample is utilized to train a BP neural network which is optimized by a genetic algorithm, so that the trained neural network is obtained; and according to the output result prediction analysis, weather parameter information in each hour period on prediction day is used as an input condition and is combined with the trained neural network to carry out prediction on an output in each time period by using hour as a step length and a mean absolute percentage error is adopted to carry out evaluation on prediction capacity of a system. According to the prediction method disclosed by the present invention, not only is prediction accuracy when weather is suddenly changed improved, but also the defect, that a prediction result is easy to fall into the local optimization, is avoided.
Owner:SOUTHEAST UNIV

Unmanned automobile automatic lane changing device and method

The invention discloses an unmanned automobile automatic lane changing device and method. The unmanned automobile automatic lane changing device comprises an image collector, an image processor, a central processor module and a control execution system; the image collector is used for collecting a road marking line on a road surface, and the image processor is connected with image collector data and is used for receiving acquisition data of the image collector and recognizing image information of the image collector and distinguishing a function of the marking line; and the central processor module is connected with image processor data and used for performing comprehensive analysis and processing on a signal transmitted by the image processor according to a preset program and then sendingout a decision instruction, and is used for transmitting the decision instruction to the control execution system to control a vehicle to change lanes or not. According to the unmanned automobile automatic lane changing device and method, a road line is actively recognized without relying on a driver to complete an automatic lane change, various road conditions are flexibly dealt with, and the practicality is high.
Owner:张家港天筑基业仪器设备有限公司
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