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274 results about "Transfer parameter" patented technology

Parameter Transfer between elements, between placed Objects, and between Objects in the Selection Settings is so basic that it needs to be taught on day one to all new users. Sadly, that’s not always the case.

Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof

Proposed is an automated telematics-based system (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof, for automated risk-transfer related to complex peer-to-peer lending schemes, especially related to vehicles and car sharing schemes and sharing economy transportation schemes related to risks associated with damages to third parties. The telematics-based system (1) comprises telematics devices (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the telematics devices (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system-based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and/or measuring devices (401, . . . , 405) and/or an on-board diagnostic system (431, . . . , 435) and/or an in-car interactive device (441, . . . , 445), wherein the telematics devices (411, . . . , 415) capture usage-based (31) and/or user-based (32) and/or operational (33) telematics data (3) of the motor vehicle (41, . . . , 45) and/or user (321, 322, 323). In response to an emitted shadow request (109) individualized risk-transfer profiles (114) based upon the dynamically generated variable scoring parameters (1011, . . . , 1013) are transmitted from a first risk-transfer systems (11) to the corresponding motor vehicle (41, . . . , 45) and issued by means of a user unit (461, . . . , 465) of the motor vehicle (41, . . . , 45) for selection by the driver of the motor vehicles (41, . . . , 45). In return of issuing an individualized risk-transfer profile (114) over said user unit (461, . . . , 465), payment-transfer parameters are transmitted from the first risk-transfer system (11) to the provider of the telematics-based system (1).
Owner:SWISS REINSURANCE CO LTD

Long lasting implementing method for data

The invention provides a method for realizing data persistence. A table corresponding to business entity class is constructed in a database. The field information of the business entity class is obtained by using a reflection database API, thus constructing corresponding SQL sentences. After an instantiation application layer transmits data access categories corresponding to parameters and uses the reflection database to activate access methods in the parameters, the value of the field is assigned to the corresponding SQL sentences, after the implementation, the invocation is completed. The method for realizing data persistence provided by the invention can ensure that the persistence operation of the data can be adaptive to the change of an object data model and a relational data model and a large number of configuration files are no longer needed to maintain the mapping of the object data model and the relational data model. The method for realizing data persistence provides an unified data access interface, does not need to bind the specific business logic and the data proposal and can be multiplexed in other systems, thus improving the development efficiency of the persistence layer, realizing the effective separation of the data logic and the business logic and increasing the scalability of a system.
Owner:BEIHANG UNIV

Deep neural network learning method, processor and deep neural network learning system

Embodiments of the present invention provide a deep neural network learning method. The method comprises: conducting, by a plurality of processors, forward processing on data distributed to the processors layers in parallel layer by layer from a first layer to a last layer, and acquiring error information when forward processing is finished; and conducting, by the plurality of processors, backward processing on the error information layer by layer from last layer to first layer, wherein each of the plurality of processors immediately transfers a parameter correction value to other processors after backward processing of a current layer of a corresponding deep neural network model generates the parameter correction value. With the method according to the embodiments of the present invention, time consumed by transfer of the parameter correction values is reduced, and efficiency of training the deep neural network models is effectively improved; and particularly under the conditions of a large volume of training data and a great number of layers of each deep neural network model, such manner can greatly reduce used time, and effectively save model training time. Further, the embodiments of the present invention provide a processor, and a deep neural network learning system.
Owner:HANGZHOU LANGHE TECH

Laser rod thermalization

A method for operating an extracavity frequency-converted solid-state laser for performing a laser processing operation is disclosed. The laser has a laser-resonator including an optically-pumped gain-medium. The resonator is configured to compensate for a predetermined range of thermal lensing in the gain-medium. An optically-nonlinear crystal located outside the resonator converts fundamental laser radiation delivered by the resonator into frequency converted radiation. The laser processing operation is performed by a train of pulses of the frequency-converted radiation having sufficient power to perform the processing operation. The power of frequency-converted radiation is dependent on delivery parameters of the laser radiation from the laser-resonator. The laser is operated in a manner which provides that the resonator delivers effectively the same average power of fundamental laser radiation before and during the laser processing operation. This provides that thermal-lensing in the gain-medium is within the predetermined range before and during a laser processing operation. Delivery parameters of the laser radiation before and during the processing operation are varied such that power of frequency-converted radiation generated before the processing operating is insufficient to perform a laser processing operation.
Owner:COHERENT INC

Telematics system with vehicle embedded telematics devices (oem line fitted) for score-driven, automated risk-transfer and corresponding method thereof

Proposed is a OEM-linked, telematics-based system and platform (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof. The telematics-based system (1) comprises vehicle embedded telematics devices (OEM line fitted) (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the vehicle embedded telematics devices (OEM line fitted) (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and/or measuring devices (401, . . . , 405) and/or an on-board diagnostic system (431, . . . , 435) and/or an in-car interactive device (441, . . . , 445), wherein the telematics devices (411, . . . , 415) capture usage-based (31) and/or user-based (32) and/or operational (33) telematics data (3) of the motor vehicle (41, . . . , 45) and/or user (321, 322, 323). In response to an emitted shadow request (109) of a central, expert-system based circuit (10) of system (1) associated with a second risk-transfer system, individualized risk-transfer profiles (114) based upon the dynamically generated variable scoring parameters (1011, . . . , 1013) are transmitted from a first risk-transfer systems (11) to the corresponding motor vehicle (41, . . . , 45) and issued by means of a dashboard (461, . . . , 465) of the motor vehicle (41, . . . , 45) for selection by the driver of the motor vehicles (41, . . . , 45). In return of issuing an individualized risk-transfer profile (114) over said dashboard (461, . . . , 465), payment-transfer parameters are transmitted from the first risk-transfer system (11) to the OEM of the OEM-linked, telematics-based system and platform (1).
Owner:SWISS REINSURANCE CO LTD
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