50results about How to "Effectively delete" patented technology

In the mobile phone 100 having e-mail sending and receiving functions, the control unit 106 acquires the history information of the e-mails sent by the mobile phone 100 from the history information recording unit 1082, and determines whether there is an e-mail as the sending source based on the acquired history information. The received e-mail at the e-mail address of the mobile phone 100 is actually an e-mail sent by the mobile phone 100, thereby determining whether the e-mail is an unsolicited e-mail.

The invention discloses a method for compressing animation scene files. During a progress when three-dimensional animation scenes are made by using maya, the finally generated scenes usually comprise a large number of useless historical nodes due to repeatability of a production cycle and uneven ability of production staffs, as a result, scene files are so large that the scenes are very inconvenient to store and use. According to the method for compressing animation scene files disclosed by the invention, by calculating a projection range of a scene camera, models which are not in the projection range can be deleted on a basis that necessary models and animation curves for the scene are kept, so that the size of the scene files can be compressed greatly.

The invention discloses an indoor positioning fusion algorithm, and relates to an indoor positioning technology, in particular to a method for carrying out comprehensive positioning according to Bluetooth signals, inertial navigation data and geomagnetic data. A terminal sends a Bluetooth signal at regular time, and screens a Bluetooth receiving label through a game theory method according to theinertial navigation positioning position; and after fingerprint matching is obtained, the fingerprint combination is screened according to the inertial navigation positioning position and the geomagnetic positioning position, a Bluetooth positioning position is obtained according to the screened fingerprint combination, and a final positioning point is obtained according to the inertial navigationpositioning position and the Bluetooth positioning position. By adopting the method provided by the invention, the Bluetooth receiving tag interfered by the multipath effect can be effectively deleted, and only the normally received Bluetooth receiving tag is selected for fingerprint matching; the final positioning point is comprehensively corrected by the Bluetooth positioning position and the inertial navigation positioning position, and several positioning technologies compensate each other, so that the positioning is accurate.

The invention discloses a method for reducing brain wave medical record signals based on a three-layer cross game energy tree. In this method, two adjacent three-layer cross-game energy trees Ti and Tj are firstly designed, and the selfish game is realized in the same main layer and the cross-cooperative game is realized between different main layers. The depth-first search strategy is used to select the two game energy trees. The global optimal elites Elitisti_c and Elitistj_c; then assign the elite energy gain matrix PMENn×n to the optimal elites, and enhance the elites to obtain adaptive Nash energy exploration and development balance performance in the main layer; finally realize the cross-game energy reduction of brainwave medical record signals , so that the optimal elite converges to the optimal Nash equilibrium point of each main layer under the drive of the elite energy vector Γ, and achieves the balance of the reduction accuracy of the brainwave medical record signal, thereby outputting the global optimal brainwave medical record signal. The invention can effectively improve the reduction efficiency of brainwave medical record signals, provide important methods for brainwave signal noise elimination, feature extraction and analysis, etc., and has strong application value for brain disease diagnosis and auxiliary treatment.

The invention discloses a tumor key gene identification method based on particle swarm optimization and a marking criterion. The method comprises the steps that one gene marking criterion is defined to acquire gene classification ability information so as to filter genes with a low correlation to a tumor category; and the Metropolis criterion is utilized to improve a particle swarm optimization (PSO) algorithm in combination with the gene classification ability information so as to realize identification of tumor key genes. The new method for gene classification information and PSO improvement overcomes the defect that a traditional method for identifying tumor key genes based on PSO is prone to fall into a locally optimal solution, gene subsets in a smaller number and with a high correlation to the tumor category can be selected, and therefore the method is beneficial for improving subsequent tumor identification.