46results about How to "Improve inference accuracy" patented technology

Methods for detecting a common user of a plurality of user devices in a network and for detecting a common cohort for a plurality of users are disclosed. The methods comprise receiving a plurality of event records. Each of the event records corresponds to an event in a network and comprises a device identifier and event information. A correlation is then calculated between a first subset of the event records having a first device identifier and a second subset of the event records having a second device identifier. Based on the correlation, it is then calculated whether the first and second device identifiers relate to user devices associated with the same user, and whether the first and second device identifiers relate to user devices associated with users belonging to a common cohort.

The present invention provides an air conditioner, which uses a plurality of human detection sensors to divide the area requiring air conditioning into a plurality of areas according to the positions of people in the area requiring air conditioning, and sets the frequency of each area according to the frequency of people. regional characteristics. Based on the response result of the human body detection sensor within the first predetermined time period, a judgment condition indicating human presence is set in each area characteristic, and whether there is a person in each area is estimated based on the set judgment condition. According to the response result of the human body detection sensor in the second specified time, when a person is detected in the first area, it is inferred that there is a person at a time interval shorter than that of the second area; Since no one is estimated at a long time interval, the time required for inferring presence in the first area is set shorter and the time required for inferring no one is set longer in the first area than in the second area.

There is disclosed systems and methods to enhance reliability of measured position data. Measuring devices, such mobile phones equipped with location measurement elements (such as GPS, LBS, network location reporting, or tower location triangulation reporting) may collect various samples of positions where the device is believed to be located at particular moments in time; however such measurements often vary even if the device is not moving because of device inaccuracy, atmospheric conditions, obstructing buildings, and the like, making it difficult to determine whether such devices are actually stationary or are in motion over predetermined time periods. Systems and methods of the present invention provide for enhanced accuracy of position data by selectively merging varying location positions that are attributable to noise or accuracy deviations, and providing an enhanced assessment of actual device position.

An object of the present application is to provide a stage of charge (SOC) estimation device and a charge state estimation method that can improve the estimation accuracy of the SOC even if the discharge or charge of the secondary battery continues. In the SOC estimation apparatus, a measurement value acquiring unit obtains a voltage measurement value, a current measurement value, and a temperature measurement value of the second battery; an estimation value calculating unit calculates a SOC estimation value of the secondary battery based on the current measurement value; a voltage monitoringunit determines whether or not the voltage measurement value of the secondary battery has reached a predetermined voltage threshold during charge or discharge of the secondary battery; and in a case where the voltage measurement value of the secondary battery is determined to have reached the voltage threshold, a compensation unit corrects the SOC estimation value based on the current measurementvalue and the temperature measurement value that are obtained at a correction time point at which the voltage measurement value of the secondary battery has reached the voltage threshold.

This invention provides a gas concentration concluding method of a boiler equipment, making use of a neural network to conclude the concentration of the gas component exhausted from the boiler equipment, and making use of the neural network used by a plurality of neural networks prepared for each coal category and the neural network for judging the coal category proportion to conclude. The invention further provides a gas concentration concluding apparatus of the boiler equipment, making use of the neural network to conclude the concentration of the gas component exhausted from the boiler equipment, a, comprising a summate which makes use of the neural network used by a plurality of neural networks prepared for each coal category, the neural network for judging the coal category proportion and the mixed proportion concluded by the neural network for judging the coal category proportion to do weighted average to the concluded value of the gas concentration exported a plurality of neural networks prepared for each coal category.

The present invention provides a parameter estimation device, a parameter estimation method, a power storage system and a program. The parameter estimation device comprises: a state quantity actual measurement unit (11), which acquires the actual measurement value of a state quantity correlated with a plurality of parameters; Part (12), according to the correlation between the estimated values ​​of the plurality of parameters and the above-mentioned state quantities, calculates and obtains the calculated values ​​corresponding to the actual measured values; The value of the error evaluation function calculated by multiplying the sum of the absolute magnitudes of the errors of the corresponding calculated values ​​by the first coefficient and the deviation degree of the error by the second coefficient, changing the above-mentioned estimated value, and An optimum estimated value that minimizes the value of the error evaluation function is determined.

The invention discloses a step-by-step inference method for business relationships of Internet autonomous domain systems, which comprises the following steps: firstly, based on a valley-free path principle, according to top-level autonomous domain system information and autonomous domain system degree information, carrying out principle inference on relationships between adjacent autonomous domain systems of each path in a path table; secondly, performing re-judgment on an autonomous domain system relationship with conflicts in principle inference by using a mode of combining probability inference and principle inference, preferentially determining a result with a high global inference proportion, and updating the principle inference according to a new result; and for the autonomous domain system relationship of which the inference result is still not determined, inference is carried out according to the autonomous domain system degree information, and finally the commercial relationship between the adjacent autonomous domain systems on the path in the routing table is obtained. According to the method, the accuracy of deducing the types of the business relations between the autonomous domain systems is effectively improved, and the method is suitable for Internet routing security and business relation analysis of the autonomous domain systems.

The invention provides a network information diffusion source inference method based on a differential pre-solution set and belongs to information technology processing field. The method comprises steps of using G = (V, E) to represent a connection relationship between the network nodes, wherein V represents a network node set, e represents a set of network edges; selecting a difference pre-solution set S from the difference pre-solution sets; establishing diffusion source characteristics, collecting cascading information, judging the module | Ic | of an index set, if the module | Ic | is greater than a preset value, extracting a characteristic vector of cascading C, adjusting the diffusion source characteristics of each node v belonging to V, calculating norms of all nodes v belonging toV one by one, and finding out the node with the minimum norm as a source. According to the method, the data source can be actively optimized and selected, the quality of input data is improved, and the source inference precision is greatly improved.