Abstract: The present invention relates to a method for measuring the AC impedance of a battery in a composite power supply power system, comprising the following steps: determining the AC disturbance signal amplitude, operating the DC/DC voltage converter to generate the AC disturbance signal, collecting the output signals of the fuel cell and the lithium battery, calculating the output power of the fuel cell and the lithium battery; calculating the demand power of the load, and when the demand power is stable, calculating the impedance of the lithium battery and the fuel cell separately, otherwise, only the impedance of the fuel cell is calculated.

Abstract: Systems and methods for optimizing offsite content delivery are provided. A content request is received from a content exchange and multiple candidate content delivery campaigns are identified in response to the content request. A computerized method includes, for each candidate content delivery campaign, determining a resource usage per conversion on a particular content platform, determining a conversion rate on one or more third-party content platforms, and determining a conversion rate on the one or more third-party content platforms. The resource usage per impression is computed based on the resource usage per conversion, the resource usage per selection, and the conversation rate. A particular candidate content delivery campaign is selected from among multiple candidate content delivery campaigns based on the resource usage per impression and the particular candidate content delivery campaign is caused to be transmitted over a computer network to the content exchange.

Abstract: Techniques for predicting an offsite entity interaction rate are provided. One approach involves using a first machine-learned model that includes a first plurality of features that correspond to entity and campaign attributes. The approach also involves training a second machine-learned model that includes a second plurality of features that includes a particular feature corresponding to predicted entity interaction rates. Thus, output of the first machine-learned model is input to the second machine-learned model. The second machine-learned model includes multiple weights that include a particular weight for the particular feature. A content request is received and a set of campaigns is identified based on an entity identifier associated with the content request. Scores are generated based on the first and second machine-learned models. Based on the scores, a campaign is selected and campaign data associated with the campaign is transmitted over a computer network.

Abstract: Techniques for optimizing network-transferred multi-card content items are provided. In one technique, a first content item selection event is initiated that involves a set of content delivery campaigns that includes a content delivery campaign that includes a content item that comprises multiple cards. The content delivery campaign is selected and the content item is transmitted to a first computing device, where the multiple cards have a first card configuration. One or more events that are associated with the first computing device displaying at least one card of the plurality of cards is identified. Based on the events, a second card configuration is determined. Another content item selection event that involves the content delivery campaign is initiated and the content delivery campaign is selected. The content item is transmitted to a second computing device, where the multiple cards have the second card configuration.

Abstract: Techniques for predicting an offsite entity interaction rate are provided. One approach involves using a first machine-learned model that includes a first plurality of features that correspond to entity and campaign attributes. The approach also involves training a second machine-learned model that includes a second plurality of features that includes a particular feature corresponding to predicted entity interaction rates. Thus, output of the first machine-learned model is input to the second machine-learned model. The second machine-learned model includes multiple weights that include a particular weight for the particular feature. A content request is received and a set of campaigns is identified based on an entity identifier associated with the content request. Scores are generated based on the first and second machine-learned models. Based on the scores, a campaign is selected and campaign data associated with the campaign is transmitted over a computer network.

Abstract: Systems and methods for optimizing offsite content delivery are provided. A content request is received from a content exchange and multiple candidate content delivery campaigns are identified in response to the content request. A computerized method includes, for each candidate content delivery campaign, determining a resource usage per conversion on a particular content platform, determining a conversion rate on one or more third-party content platforms, and determining a conversion rate on the one or more third-party content platforms. The resource usage per impression is computed based on the resource usage per conversion, the resource usage per selection, and the conversation rate. A particular candidate content delivery campaign is selected from among multiple candidate content delivery campaigns based on the resource usage per impression and the particular candidate content delivery campaign is caused to be transmitted over a computer network to the content exchange.

Abstract: Techniques for optimizing network-transferred multi-card content items are provided. In one technique, a first content item selection event is initiated that involves a set of content delivery campaigns that includes a content delivery campaign that includes a content item that comprises multiple cards. The content delivery campaign is selected and the content item is transmitted to a first computing device, where the multiple cards have a first card configuration. One or more events that are associated with the first computing device displaying at least one card of the plurality of cards is identified. Based on the events, a second card configuration is determined. Another content item selection event that involves the content delivery campaign is initiated and the content delivery campaign is selected. The content item is transmitted to a second computing device, where the multiple cards have the second card configuration.

Abstract: An integrated grain drying/storage/regulating bin with a built-in bellows and an externally disposed compartment comprises an integrated bin body, a grain distributing device, an external compartment outside the integrated bin body, an internal bellows inside the integrated bin body, a heating device, a refrigerating device, a humidifying device, an air flow distributing device, a centrifugal fan, and an air flow control valve. The merits of the present invention are: (1) being able to prevent the occurrence of moisture condensation; (2) facilitating production cost reductions; (3) uniformly heating and drying the grains in the bin; (4) being capable of preventing the filter for the grain layers in the bin from blockage or short circuit caused by spontaneous grain grading; (5) being able to implement low temperature or quasi-low temperature storage; and (6) being capable of enhancing grain toughness, lowering breakage rate, and increasing production yield and product quality.

Abstract: The present application discloses a negative-pressure continuous grain dryer with a built-in heating device, wherein the negative-pressure continuous grain dryer comprises a dryer bin, a heating device, and a centrifugal fan. Several levels of the heating devices are disposed from top to bottom in the dryer bin. A grain mixing device is provided below the heating device at each level. Outside the bin, an auxiliary heating device and a natural air inlet are provided in correspondence with the heating device at each level. The auxiliary heating device and the natural air inlet communicate with the grains and the respective heating device in the dryer bin through a perforated baffle plate. The centrifugal fan communicates with each of moisture exhaust vents at each level through an air duct.

Abstract: The present disclosure relates to a music playback method, a third-party application and a device which are in the field of computer technique. The music playback method includes integrating a background music playback module into a third-party application, receiving a music playing signal in which a playlist identification is included, transmitting the music playing signal to the background music playback module through a predetermined port, acquiring by the background music playback module a corresponding playlist based on the playlist identification of the music playing signal, and randomly playing the music in the playlist by the background music playback module.

Abstract: The present disclosure relates to a music playback method, a third-party application and a device which are in the field of computer technique. The music playback method includes integrating a background music playback module into a third-party application, receiving a music playing signal in which a playlist identification is included, transmitting the music playing signal to the background music playback module through a predetermined port, acquiring by the background music playback module a corresponding playlist based on the playlist identification of the music playing signal, and randomly playing the music in the playlist by the background music playback module.