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1201results about How to "Reduce search time" patented technology

Hidden link dynamic key manager for use in computer systems with database structure for storage of encrypted data and method for storage and retrieval of encrypted data

A computer system (20) having a security domain (22), at least one client business domain (26), and a plurality of client terminals (34) utilizes a hidden link dynamic key manager (24, 84) and a database structure that includes encrypted data entities (30C, 30D) and a security identification attribute (32) for storage of encrypted data. Methods for encrypting data and for storing, decrypting, and retrieving encrypted data operate on the computer system (20), which also includes an information database (62) and a key database (44). The key database (44) is isolated from the information database (62). The hidden link key manager is stored in the security domain (22) and includes a system key manager (84) operable to generate system keys with system key common names and an encryption key manager (24) operable to generate encryption keys having encryption key identifications. The key managers (24, 84) operate on a key server (40), which is mirrored by a secondary key server (42). A general security manager (82) also operates on the key server (40) to control access to the security domain (22). The security information attribute (32) is stored with a persistent data entity (30A) that is associated with the other encrypted data entities (30C, 30D) by a database schema. The encryption key identification (112) for the encryption key used to encrypt the data entities (30C, 30D) is encrypted by a system key and then stored as part of the security information attribute (32). The system key common name hash value (114) is also stored in the security information attribute (32). The information data entities (30) are stored on the information database (62), but the encryption key identification (153), encryption key (154), system key common name hash value (156, 157), and system key common name (158) are stored in the key database (44) inside the security domain (22). The system key itself is stored on a Smart Card reader (56) inside the security domain.
Owner:FARRUKH ABDALLAH DR +1

Customer self service subsystem for classifying user contexts

A system and method for classifying user context in a customer self service system that performs resource search and selection and includes a context attribute database comprising types of user contexts and one or more context attributes associated with each user context for processing by the system, and context attribute function database comprising functions for computing values for each context attribute. The classifying system comprises a computing device for receiving a user query and a context vector comprising data associating an interaction state with the user and, processing the query and context vector against data included in the context attribute database and context attribute function database for predicting a particular user context. The classifier populates the user context vector with context parameters specifying a user interaction state for use in a subsequent resource search. The result of this invention is an ability to relieve the user of the nonproductive work of describing their context and the ability to improve the search value by including criteria derived from both data and behaviors in the general population which may be unknown to the user. The system and method is especially applicable for a self service system in a variety of customer self service domains including education, real estate and travel.
Owner:IBM CORP

Mobile robot path planning method based on improvement of ant colony algorithm and particle swarm optimization

The invention discloses a mobile robot path planning method based on an improvement of an ant colony algorithm and particle swarm optimization. The method mainly solves the problems that in the prior art, the operating speed of an algorithm is low, and frequency of turning of an optimized path is high. The planning method includes the steps that modeling is carried out on a work environment of a robot; the particle swarm optimization is utilized to quickly carry out path planning, pheromones more than those around an obtained path are scattered on the obtained path, and guiding is provided for an ant colony; an ant colony algorithm optimized by the principle of inertia is adopted, and optimization is conducted on the basis of the particle swarm optimization; the motion path of the robot is output according to an optimization result. According to the planning method, comprehensive consideration is given to stability and robustness of the algorithm, iterations can be effectively reduced, searching efficiency is improved, the path length is shortened, the frequency of turning is reduced, path quality is substantially improved, and the planning method accords with an artificial planning intention and is suitable for autonomous navigation of various mobile robots in a static environment.
Owner:GUILIN UNIV OF ELECTRONIC TECH

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

LTEPDCCH (Long Term Evolution System Physical Downlink Control Channel) blind inspection control method and device

The invention discloses a LTE PDCCH (Long Term Evolution System Physical Downlink Control Channel) blind inspection control method and device. According to the device, the PDCCH blind inspection times can be reduced by limiting polymerization grade ranges to be inspected in a certain range through a polymerization grade range calculation unit, a candidate PDCCH number calculation unit, an uplink/downlink scheduling state maintenance unit, a searching space state maintenance unit and a candidate PDCCH position calculation unit; and the repeated inspection of the same CCE (Control Channel Element) initial position in the same polymerization grade can be prevented by limiting the number of candidate PDCCH corresponding to each polymerization grade in a certain range; the inspected state of each CCE in a searching space is maintained to avoid the repeated inspection of CCE positions of detected DCI (Downlink Control Information) in different polymerization grades; and uplink/downlink scheduling states are maintained to reduce the inspection of uplink/downlink scheduling PDCCH number. By using all the units, the computation quantity and the searching time can be decreased; and the error inspection probability and the system power consumption can be reduced.
Owner:合肥东芯通信股份有限公司

Massively computational parallizable optimization management system and method

A distributed processing system, program product and method of executing a computer program distributed across a plurality of computers. First, interested participants register and provide a commitment for available excess computer capacity. Participants may enter a number of available hours and machine characteristics. A normalized capacity may be derived from the machine characteristics and a normalized excess capacity may be derived from the number of hours committed for the participant. New registrants may be assigned benchmark tasks to indicate likely performance. Parties may purchase capacity for executing large computer programs and searches. The computer program is partitioned into multiple independent tasks of approximately equal size and the tasks are distributed to participants according to available excess capacity. A determination is made whether each distributed task will execute within a selected range of other distributed tasks and, if not, tasks may be reassigned. The likelihood that a task will complete may be based on the participant's past performance. As each task is completed, the completing participant is checked to determine if the task is on schedule. Any task assigned to computers that are found to be behind schedule may be reassigned to other participants. A check is made to determined whether each task is assigned to at least one participant and several tasks may be assigned to multiple participants. Once all tasks are complete, the best result is selected for each task. Each participant may be compensated for normalized excess capacity and that compensation and charges to requesting parties may be based on total available normalized capacity.
Owner:TWITTER INC
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