Abstract: Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of impression indications associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine win probabilities and/or expected bid surpluses associated with multiple shaded bid values based upon one or more feature parameters, of the feature parameters, associated with the second set of features. A shaded bid value for submission may be determined based upon the win probabilities and/or the expected bid surpluses.

Abstract: The present disclosure relates to a memory test system and a memory test method. The memory test system comprises: a plurality of test devices, a host computer, and driving modules. Each of the test devices is provided with a test interface used for connecting a memory to be tested. The host computer is respectively connected to the plurality of test devices and configured to control the test devices to test the memory to be tested. The driving modules are connected to the test devices and configured to output, to the test devices, driving signals used for driving the test devices to perform data interaction with the host computer.

Abstract: The present application provides a parameter setting method and apparatus, a system, and a storage medium. The parameter setting method includes: obtaining first setting values of multiple memory parameters and storage locations of the multiple memory parameters in a non-volatile memory; generating a first parameter setting instruction according to the first setting value and the storage location of each memory parameter; and sending the first parameter setting instruction to a test device, so that the test device sets the memory parameter stored at the storage location in the non-volatile memory as the first setting value.

Abstract: The present disclosure provides a memory test method, a storage medium and a computer device. The memory test method comprises: obtaining a target test pattern that needs to be written into a plurality of chip interfaces, the plurality of chip interfaces being connected to a plurality of physical interfaces in a one-to-one correspondence; determining second information of the chip interfaces corresponding to first information of the physical interfaces, and using the first information and the second information as corresponding connection information; remapping the corresponding connection information to obtain mapped connection information; and determining, according to the target test pattern and the mapped connection information, an initial test pattern that needs to be written into the physical interfaces.

Abstract: A system is provided for supporting cash currency exchange. The system included a server, a first client requesting cash-currency-exchange service, and at least one second client providing the cash-currency-exchange service. The first client sends an exchange-service request of cash currency to the server. The server receives the exchange-service request, obtains the at least one second client, and pushes an exchange-service item corresponding to the exchange-service request to the at least one second client. The second client receives the exchange-service item, and sends a confirmation response to the server. The server pushes information about the at least one second client sending the confirmation response to the first client; and the first client displays the obtained information about the second client, determines a second client as a target client, and triggers an eWallet of the first client to transfer a specified amount to an eWallet of the target client.

Abstract: The present disclosure provides a memory test method, a storage medium and a computer device. The memory test method comprises: obtaining a target test pattern to be written into a plurality of chip interfaces, the plurality of chip interfaces being connected to a plurality of physical interfaces in a one-to-one correspondence; determining second information of the chip interfaces corresponding to first information of the physical interfaces, and using the first information and the second information as corresponding connection information; remapping the corresponding connection information to obtain mapped connection information; and determining, according to the target test pattern and the mapped connection information, an initial test pattern to be written into the physical interfaces.

Abstract: A method includes processing data associated with operation of equipment in an industrial process to repeatedly (i) identify one or more models that mathematically represent the operation of the equipment using training data and (ii) generate first indicators potentially identifying at least one specified condition of the equipment using evaluation data and the one or more models. The method also includes classifying the first indicators into multiple classes. The multiple classes include true positive indicators and false positive indicators. The true positive indicators identify that the equipment is suffering from the at least one specified condition. The false positive indicators identify that the equipment is not suffering from the at least one specified condition. The method further includes generating a notification indicating that the equipment is suffering from the at least one specified condition in response to one or more first indicators being classified into the class of true positive indicators.

Abstract: Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of impression indications associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine win probabilities and/or expected bid surpluses associated with multiple shaded bid values based upon one or more feature parameters, of the feature parameters, associated with the second set of features. A shaded bid value for submission may be determined based upon the win probabilities and/or the expected bid surpluses.

Abstract: Provided are a trajectory prediction method and device, a storage medium, and a computer program to avoid low accuracy and low reliability of a prediction result in conventional trajectory prediction methods. A trajectory prediction neural network acquires input current trajectory data and current map data of current environment when a moving subject moves in the current environment. The current trajectory data and the current map data are expressed as a current trajectory point set and a current map point set in a high-dimensional space. A global scene feature is extracted according to the current trajectory point set and the current map point set. The global scene feature has a trajectory feature and a map feature of the current environment. Multiple prediction trajectory point sets of the moving subject and a probability corresponding to each prediction trajectory point set are predicted and output according to the global scene feature.

Abstract: A method includes processing data associated with operation of equipment in an industrial process to repeatedly (i) identify one or more models that mathematically represent the operation of the equipment using training data and (ii) generate first indicators potentially identifying at least one specified condition of the equipment using evaluation data and the one or more models. The method also includes classifying the first indicators into multiple classes. The multiple classes include true positive indicators and false positive indicators. The true positive indicators identify that the equipment is suffering from the at least one specified condition. The false positive indicators identify that the equipment is not suffering from the at least one specified condition. The method further includes generating a notification indicating that the equipment is suffering from the at least one specified condition in response to one or more first indicators being classified into the class of true positive indicators.

Abstract: The present invention relates to methods for determining the quantity of an analyte in sample using lateral flow strips comprising highly-doped upconversion nanoparticles.

Abstract: Disclosed are a method of underlying drive forwarding and a multi-core system implemented based on a UEFI, which can increase a running speed of the multi-core system implemented based on a UEFI. The underlying drive forwarding method is configured for underlying drive forwarding of a multi-core system. The multi-core system is implemented based on a UEFI and includes an application processor and a bootstrap processor. The bootstrap processor is provided with an execution interface configured to call underlying hardware. The application processor is configured with an instruction interface corresponding to the execution interface.

Abstract: A system is described that includes a mobile application for controlling a sensor in capturing a plurality of structures at an installation site, wherein the capturing includes aiming the sensor at a plurality of structures and scanning the plurality of structures, wherein the capturing detects depth data of the plurality of structures. The mobile application is configured to transmit the depth data of the plurality of structures to one or more applications. The one or more applications are configured to use the depth data for creating a three-dimensional electronic image of the plurality of structures, to present the three-dimensional electronic image of the plurality of structures through an electronic interface, and to provide an electronic measurement tool for generating at least one distance measurement from a first point to a second point of the presented three-dimensional electronic image.

Abstract: A device and a method for laser-inducing cavitation strengthening with multi-system automatic coordination work. The device comprises a plurality of systems, including a clamping system, a lifting system, an imaging system, a computer control system, a laser system and an energy density amplifying system, etc. The device for laser-inducing cavitation strengthening comprises a laser cavitation device and a fixing platform.

Abstract: A method includes obtaining data associated with operation of equipment in an industrial process and identifying training data and evaluation data in the obtained data. The method also includes, during each of multiple training periods, identifying one or more models and one or more first statistical values using at least some of the training data and determining a threshold value using the one or more first statistical values. The one or more models represent the operation of the equipment. The method further includes, during each of multiple evaluation periods, determining one or more second statistical values using at least some of the evaluation data and the one or more models, comparing the one or more second statistical values to the threshold value determined in a preceding one of the training periods, and determining whether the equipment is suffering from at least one specified condition based on the comparison.

Abstract: A wireless signal interference reduction device includes a digital signal converter, an output device, a first adjustable resistor, and a second adjustable resistor. The wireless signal interference reduction device records an initial SNR value, records an SNR value of wireless reception in real-time at a preset interval when wired data transmission is turned on, determines whether a difference between the initial SNR value and the real-time SNR value is less than a preset value, continuously obtains the real-time SNR value at the preset interval to obtain the difference between the initial SNR value and the real-time SNR value if the difference between the initial SNR value and the real-time SNR value is less than the preset value, and reduces the wired transmission bandwidth by one step value if the difference between the initial SNR value and the real-time SNR value is not less than the preset value.

Abstract: A distributed system may comprise a plurality of computing nodes, each of which may provide computing capacity for operating various computing services. The system may maintain a memory-based store of records representative of capacity available on the computing nodes. A record indicative of a computing node having a requested amount of capacity may be selected. The record may be modified to indicate that the computing node is a candidate for providing the requested amount of capacity. Upon receiving information confirming that the computing node has been configured to provide the requested capacity, the record may be modified to indicate that the computing node has committed to provide the requested capacity.

Abstract: A height measuring device includes a height measuring sleeve and a distance measuring mechanism. The height measuring sleeve is vertically disposed on the equipment to be measured and includes at least two sleeves which are sleeved and matched with each other. The distance measuring mechanism is provided at bottom or top of the height measuring sleeve. When the lifting mechanism drives the main body rise or fall, the height measuring sleeve extends or retracts as the main body or the lifting mechanism, so that a height information of the main body or the lifting mechanism is obtained according to a height information of the height measuring sleeve measured by the distance measuring mechanism.

Abstract: A liquid crystal display assembly and an electronic device are provided. The liquid crystal display assembly includes: a touch screen, an upper substrate in parallel to the touch screen, a lower substrate in parallel to the upper substrate, a liquid crystal layer embedded between the upper and lower substrates, an upper polarizing plate and a lower polarizing plate attached to one side of the upper substrate and one side of the lower substrate which are opposite to the liquid crystal layer, respectively, and at least one fingerprint recognition sensor, at least one optical proximity sensor and a control chip. The at least one fingerprint recognition sensor and the at least one optical proximity sensor are respectively disposed between the upper polarizing plate and the lower polarizing plate, and the fingerprint recognition sensor is electrically connected to the control chip.

Abstract: Transportation plan adjustments based on recommended shipping packages may utilize a shipment data model for a facility that is updated with cubic volumes of recommended packages for received orders. The shipment data model may also be updated with the cubic volumes of the packages that are actually used to pack the orders and transportation utilization data such as assignment of packages to particular transportation resources. A transportation plan may be updated based on the updated shipment data model and transportation utilization data such as which transportation resources have left the facility and how much of the available cubic volume of the resource was used when the resource left the facility. The transportation plan may be updated at times associated with transportation resource change deadlines from one or more transportation resource providers. Adjustments to previously scheduled transportation resources may be made based on the updated transportation plan.