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1235results about How to "Improve search speed" patented technology

Apparatus and method for searching a base station in an asynchronous mobile communications system

Disclosed is an apparatus and method for searching a base station in a mobile communications system, in which a mobile station acquires slot timing synchronization from a first signal on a primary sync channel (P-SCH) out of the P-SCH and a secondary sync channel (S-SCH) used for base station search, acquires frame timing synchronization (Fsync) from a second signal on the S-SCH, and determines a primary scrambling code group (PSCG) corresponding to the scrambling codes used by the respective base stations. The method comprises calculating and accumulating P-SCH RSSI values from the first signal at every slot and comparing the accumulated P-SCH RSSI values with first and second accumulation thresholds and providing the first and second search commands; and calculating S-SCH channel received signal strength indicator (RSSI) values from the second signal at every slot in one frame, and updating S-SCH RSSI values corresponding to the one frame as energy matrix values; calculating energy hypotheses corresponding to the energy matrix values using the energy matrix values and a predetermined secondary sync code (SSC) table in response to a first search command, and determining energy hypotheses having a value higher than a predetermined threshold as passed hypotheses; and calculating energy values for the passed hypotheses using the determined passed hypotheses and the SSC table in response to a second search command, and determining an energy hypothesis having a maximum energy as the Fsync and the PSCG.
Owner:SAMSUNG ELECTRONICS CO LTD

Running track prediction method aiming at specific vehicle potential group

The invention relates to a running track prediction method aiming at a specific vehicle potential group. The running track prediction method comprises the following steps: looking up the potential group vehicle of a certain specific vehicle by using the original traffic data when the specific vehicle is discovered; judging whether the potential group vehicle is the specific vehicle; increasing the risk coefficient of the vehicle when the potential group vehicle is not the specific vehicle; adding a license number of the vehicle into a specific vehicle list when the risk coefficient of the potential group vehicle exceeds a predetermined threshold value; predicting a running track of the vehicle if the license number of the vehicle is added into the specific vehicle list; performing mode extraction on a running record of the specific vehicle by using a class Apriori algorithm to generate a rule set R during track detection; judging whether a final passing barrier of the specific vehicle exists in the generated rule set R; and looking up a prediction path of the specific vehicle according to the corresponding rule in R if the barrier exists in the rule set R, and otherwise, predicting the running track of the specific vehicle by establishing a Bayesian network of the final passing barrier of the specific vehicle. The prediction result provided by the invention can provide effective technical support for the decision making of related departments and the safety guarantee of urban roads.
Owner:INST OF INFORMATION ENG CAS

Encryption and search method for revocable keyword search public keys in cloud storage

The invention discloses an encryption and search method for revocable keyword search public keys in cloud storage and belongs to the technical field of network security. The method includes: setting system public parameters and dividing system time into z time segments, and creating a public-private key pair at a client; when data storage requests occurs, selecting a keyword collection of a data file, selecting optional symmetrical encryption algorithm to encrypt the data file, utilizing the public key and the current time segment to encrypt the keyword collection, and transmitting the encrypted keyword collection to the cloud server; when the next time segment arrives, generating keyword collection cipher again, and updating the cloud server on a server; when a keyword search request occurs, by the client, utilizing the private key and the current time segment to calculate trap door information of the keywords, transmitting the trap door information to the cloud server, and by the cloud server, obtaining the search results and sending back file cipher containing the search keywords to users. The encryption and search method is suitable for cloud storage with high safety requirements, safe, and efficient, and has the capability of revoking server search.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Method for establishing flood disaster geographical analysis and evaluation dynamic model

The invention relates to the field of disaster information management, in particular to a method for establishing a flood disaster geographical analysis and evaluation dynamic model. The method includes the steps that initial data of a region to be analyzed are collected, compressed and then stored in an established lightweight class spatial database; the initial data are retrieved, an established flood inundation analysis model is initialized, and a final flood inundated region areal map and a water depth classification map are acquired through a seed point spreading algorithm; integrated data of the final flood inundated region areal map and the water depth classification map are input to a flood disaster loss evaluation mathematical model and a flood risk evaluation mathematical model for calculation, and then the economic loss condition and the potential flood-hit risk degree of villages in a flood storage and detention region after flood inundation are acquired. A spatial database system and the flood inundation analysis model which are excellent in performance and stable and reliable in operation are established, the organization and management method of image raster data is optimized, the flood inundation condition of the flood storage and detention region under a given condition is visually displayed, and the consequential loss evaluation function is provided.
Owner:BEIJING ZHONGYOULIAN TECH
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