88 results about "Systematic search" patented technology

The present invention is a universal biometric monitoring system designed to locate and track terrorists, criminals, and missing or displaced persons. Via various checkpoints and a plurality of identity verification or observation ports, defining identity characteristics or biometric data is transmitted to a system that cumulatively creates a database and identity related profiles. The uses of the system are three-fold. Data is retrieved and examined in order to: Find, isolate, and restrict wanted individuals; Locate missing children; Bring order and identity resolution to groups of individuals, most specifically individuals displaced resultant to disaster situations. The system is capable of retrieving, capturing, transmitting, analyzing, and otherwise examining biometric data, cumulatively building identity profiles, and has the ability to search, match, find, trace and track identities through this system as well as set off a multiplicity of alert outputs and alarms.

Aspects of the disclosure provide techniques for using behavior based information for providing and restricting access to a secure website, or computer network and its assets to a user. Components of the system may include the following. Client remote computing device, network and browser unique attribute data collection and fingerprinting. Method for capturing user habits and fingerprinting with ability to detect abnormalities through AIML using mobile and wearable device applications. System for detection of normality of user behavior based on habits, and cyber transactions, device access and determining a confidence score associated with each transaction. Method for calculating individual transaction risk based on contextual factors such as user behavior, device, browser and the network traffic and request for authentication by account owner when risk greater than allowed threshold. Method and system to identify user device, browser, and behavior unique attributes, storing and later matching to infer change upon consequent transactions and measuring transaction risk through a search and match against classified set of static and dynamic attributes using a user, browser traffic, device search and match engine.

A composite display method and system for a search engine of same resource information based on the degree of attention. The search engine finds all the target stations that correspond to some conditions as original results. The original results are combined to a title search result depending on the content, quality, and information of a user, etc. The title search result is displayed on the browser of the user as a search result, and can be expanded when being viewed. The system uses a statistic server and network browser, and all operations of user are converted into the degree of attention for the web pages. The grade value for the degree of attention is sent to the statistic server as the standard of arrangement for the presentation of content and quality. Another method capable of judging the status of the user automatically and providing the suitable web page is also disclosed.

A method for searching patent documents by applying degree of similarity and a system thereof are disclosed. The method for searching patent documents by applying degree of similarity comprises receiving at least one search keyword from a user of the service; searching a document previously stored in a database, by the search keyword; and evaluating a degree of similarity to the search keyword on the document that is searched by the search keyword, wherein the degree of similarity is evaluated by measuring at least one degree among a degree of appearance frequency of the search keyword in the document, a degree of proximity between the search keywords, and a degree of word order between the search keywords. Therefore, patent documents may be searched by arranging the documents according to a degree of similarity to a search keyword, and not according to whether the keyword is included in the patent documents.

A transponder identification system comprising a plurality of transponders and an interrogation device arranged to identify each of the transponders by transmitting successive interrogation signals according to a systematic search strategy, wherein the search is truncated where the interrogation device receives fewer than a predetermined number of different responses from the transponders, to a transmitted interrogation signal.

According to one embodiment of the present invention, a system searches content managed by a search engine. The system receives a relational database type query, translates the relational database type query into a query for the search engine, and submits the translated query to the search engine to retrieve information. The system formats resulting information from the search engine into a relational database query result set. Embodiments of the present invention further include a method and computer program product for searching content managed by a search engine in substantially the same manners described above.

Aspects of the disclosure provide techniques for using behavior based information for providing and restricting access to a secure website, or computer network and its assets to a user. Components of the system may include the following. Client remote computing device, network and browser unique attribute data collection and fingerprinting. Method for capturing user habits and fingerprinting with ability to detect abnormalities through AIML using mobile and wearable device applications. System for detection of normality of user behavior based on habits, and cyber transactions, device access and determining a confidence score associated with each transaction. Method for calculating individual transaction risk based on contextual factors such as user behavior, device, browser and the network traffic and request for authentication by account owner when risk greater than allowed threshold. Method and system to identify user device, browser, and behavior unique attributes, storing and later matching to infer change upon consequent transactions and measuring transaction risk through a search and match against classified set of static and dynamic attributes using a user, browser traffic, device search and match engine.

According to one embodiment of the present invention, a system searches content managed by a search engine. The system receives a relational database type query, translates the relational database type query into a query for the search engine, and submits the translated query to the search engine to retrieve information. The system formats resulting information from the search engine into a relational database query result set. Embodiments of the present invention further include a method and computer program product for searching content managed by a search engine in substantially the same manners described above.

A personalized activity data retrieval system and method provides users a platform to search activity data based on multi-variable user input. The present invention provides a search method where the system searches a database to gather activity information based on user interests and user attributes. A customization of search results are applied multi-dimensionally to customize the search result based on user interest and user attributes. As such, the search results are personalized to meet the user's search objective. Searches conducted with the same topic can be returned with different results for different users having varying attributes. Search results are more progressive such that they are more usable and the granularity of the customization increases.

A search system includes a scoring engine weight value database (132) that stores weight value information of each scoring engine corresponding to a plurality of users, a search result response unit (2) that causes weight value information that is stored in the scoring engine weight value database (132) to be reflected in search results that are searched by a search engine (150) and that reflect scores computed by scoring engines (161, 162) to create search results that are presented to a user; and a search result behavior acquisition unit (3) that acquires selection behavior information of a user with respect to search results that are presented and that causes the acquired selection behavior information to be reflected in the scoring engine weight value database (132).

The invention relates to an edge intelligent data classification storage method, and belongs to the field of Internet of Things. The method comprises the following steps: firstly, designing a data preprocessing method, abstracting an intelligent entity state data sequence, and converting the intelligent entity state data sequence into a quantitative intelligent entity state sequence and a qualitative intelligent entity state sequence; then, performing feature extraction based on DSAE; then, outputting the extracted features to an SVM, and distinguishing of a transient intelligent entity and aslow-varying intelligent entity is achieved; and finally, storing the transient smart entity state data with relatively strong time-varying property at the edge, and storing the slow-varying smart entity state data with relatively weak time-varying property at the cloud center. According to the method, the state time-varying characteristics of the qualitative and quantitative state intelligent entities are mined, the intelligent entities are classified according to the time-varying degree, so that the state data of the intelligent entities are distinguished and cached according to the categorydifference, the search result accuracy of the Internet of Things search system is remarkably improved, and the search time delay for massive state time-varying intelligent entities is reduced.

The invention discloses a security anti-theft door with an automatic alarm function. The security anti-theft door with the automatic alarm function comprises a door frame and a first cavity, wherein the first cavity is positioned in the door frame and is provided with a downward opening; an anti-theft door body is hinged into the first cavity; and a password input device capable of being unlockedthrough key pressing is fixedly arranged on the right end surface of the anti-theft door body. The security anti-theft door is an anti-theft alarm door for security. When the password input device detects that a user continuously inputs wrong passwords to reach the upper limit time, an alarm device of the security anti-theft door with the automatic alarm function can start the alarming function; meanwhile, a locking device of the security anti-theft door with the automatic alarm function can reinforce and lock the door to prevent violent damage; and a camera of the security anti-theft door with the automatic alarm function can be started to shoot and record people inputting wrong passwords, so that the subsequent systematic searching and troubleshooting are facilitated.

In order to complete click rate estimation according to object features of an object to be detected, the invention can be applied to the fields of enterprise-level recommendation systems, search systems, online advertisement systems and the like as a data fine arrangement link. The invention provides a click rate estimation model based on feature representation under an attention mechanism. The model comprises a feature embedding layer, and the feature embedding layer is used for carrying out the vectorization processing of continuous features and discrete features so as to form a stacked feature and explicit feature cross network, performing explicit feature combination and an implicit feature cross network on the stacking features through the attention cross network, performing implicit feature combination on the stacking features through the multi-layer perceptron, estimating a probability output layer, and estimating the click rate according to the received combined features, wherein the attention crossover network eliminates the dependence of an estimation model on artificial feature engineering, and meanwhile, due to the introduction of an attention mechanism, the importance of each combination feature on model estimation is distinguished, and the influence of useless and redundant features on the model is eliminated.