Abstract: A system may be configured to generate an estimate of value at risk and may include a processor to process instructions that cause the system to generate a rolling time series of value data having a plurality of dimensions, perform a transformation of the time series, perform variance scaling and correlation scaling on transformed time series, reverse transform the results of the scaling, and estimate of a value-at-risk for the value data.

Abstract: Some embodiments of the present disclosure provide a method for video acquisition. The method may be implemented by a computing device including at least one processor and a storage device, and the method may include: obtaining a first exposure parameter corresponding to a first image frame acquired by a video acquisition device; obtaining a second exposure parameter used by the video acquisition device to acquire a second image frame, wherein the second exposure parameter is smaller than the first exposure parameter; adjusting an exposure parameter of the video acquisition device from the second exposure parameter to a target exposure parameter by adjusting an exposure parameter lower limit of the video acquisition device, wherein the target exposure parameter matches the first exposure parameter; and causing, based on the target exposure parameter, the video acquisition device to acquire a target image frame.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: The present disclosure relates to a traffic processing method and apparatus, and a medium and an electronic device. The traffic processing method includes: performing detection on incoming traffic, which flows to a server, and determining whether the server is subjected to a distributed denial of service (DDoS) attack; when it is determined that the server is subjected to the DDoS attack, determining whether the message format of a message in the incoming traffic is normal, and intercepting a message which has an abnormal message format, wherein the incoming traffic is generated on the basis of a quick user datagram protocol Internet connection (QUIC) protocol; and intercepting an abnormal message in a first message, wherein the first message is a message that has a normal message format.

Abstract: Even when there is no definite diagnosis, a disease status is assessed. A system operable to monitor one or more patients each suspected of having a disease based on a result of a test for assessing a condition of the patient, the system comprising: a disease determination part configured to analyze a database of measurement data collected in association with information regarding a location of the patient and to determine the patient suspected of having the disease, the measurement data acquired by a plurality of specimen measurement apparatuses running the test on a specimen of the patient; and a status monitor part configured to monitor a status of the disease in an area determined based on the information regarding the location.

Abstract: This application discloses a communication method. The method includes: A first device receives a first access request sent by a second device. The first access request includes identification information of a first virtual memory page in the first device. The first virtual memory page is not associated with a physical memory page corresponding to the first data. The first device sends first information to the second device based on the identification information. The first device receives an exception handling request that is sent by the second device based on the first information. The first device allocates, in a memory of the first device based on the exception handling request, a first physical memory page associated with the first virtual memory page. The first device sends, to the second device, a first access result of accessing the first physical memory page.

Abstract: The present application relates to the field of satellite navigation systems, and discloses a real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data. The real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data includes: S1, converting clock error phase data into the frequency data; S2, processing the frequency data through a frequency anomaly detection function, and eliminating an abnormal value, where the frequency anomaly detection function determines whether the frequency data is an outlier according to a standard deviation and a threshold of the frequency data; and S3, performing a real-time sliding clock error forecast, and eliminating the abnormal value and updating a forecast epoch by using fitted phase data and a threshold range.

Abstract: In accordance with implementations of the subject matter described herein, there is provided a solution for streaming communication between devices. In this solution, a memory of a first device comprising a ring buffer is allocated to be dedicated for storing a data stream of an application to be transmitted to a second electronic device. The application of the first device writes data to be transmitted into the ring buffer, to form a portion of the first data stream, and a write pointer of the ring buffer is thus updated. A portion of data is read based on a source memory address from the ring buffer via the interface device. The interface device also transmits the data portion to a second device. The read data portion is stored in a dedicated ring buffer of the memory. In accordance with the solution, an efficient streaming communication interface is provided between devices.

Abstract: The disclosure relates to a fault-tolerant method and apparatus for a network device system, a computer device, and a storage medium. The method includes: when the link state changes, the source switch acquires and transmits link state change information to the master controller, randomly selects a switch from the first switch unit or the second switch unit, and transmits a copy of the link state change information to the selected switch; such that the master controller forwards the link state change information to the second switch unit, the auxiliary controller receives the copy of the link state change information transmitted by the switch selected by the source switch and transmits it to the second switch unit; after the second switch unit updates the local routing table according to the acquired information, the master controller transmits confirmation information to the source switch.

Abstract: The present application relates to the field of satellite navigation systems, and discloses a real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data. The real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data includes: S1, converting clock error phase data into the frequency data; S2, processing the frequency data through a frequency anomaly detection function, and eliminating an abnormal value, where the frequency anomaly detection function determines whether the frequency data is an outlier according to a standard deviation and a threshold of the frequency data; and S3, performing a real-time sliding clock error forecast, and eliminating the abnormal value and updating a forecast epoch by using fitted phase data and a threshold range.

Abstract: This application provides an artificial intelligence (AI)-based network security protection method and apparatus, an electronic device, and a computer-readable storage medium. The method includes obtaining access traffic that needs to be verified and to be transmitted to a target network address; extracting a data statistical feature of each of a plurality of sessions included in the access traffic that needs to be verified; invoking a neural network model, and based on the data statistical feature of each session, to classify each session as normal or abnormal; identifying a session classified as abnormal in the access traffic that needs to be verified as attack access traffic; and obtaining a source address of the attack access traffic, and screening attack access traffic to be transmitted to the target network address from the source address.

Abstract: A data processing method a device, and a storage medium are provided. The method includes: detecting, via a security detection device in response to receiving a data message sent by a client, whether a destination server corresponding to the data message is under cyberattack; in response to the destination server being under cyberattack, guiding the data message to a security protection device, and sending a test message to the client via the security protection device; and verifying, via the security protection device, the verification message returned by the client, and in response to the verification succeeding, determining that the client is a valid client and sending the data message to the destination server, or in response to the verification failing, determining that the client is an attacking client and discarding the data message.

Abstract: A data processing method a device, and a storage medium are provided. The method includes: detecting, via a security detection device in response to receiving a data message sent by a client, whether a destination server corresponding to the data message is under cyberattack; in response to the destination server being under cyberattack, guiding the data message to a security protection device, and sending a test message to the client via the security protection device; and verifying, via the security protection device, the verification message returned by the client, and in response to the verification succeeding, determining that the client is a valid client and sending the data message to the destination server, or in response to the verification failing, determining that the client is an attacking client and discarding the data message.

Abstract: A concentric-ring single-sided dovetail groove ceramic tile back mold core is disclosed. A vulcanized rubber of back mold core surface comprises raised patterns and recessed patterns integrally formed, pasted and covered on a back mold core iron substrate. The raised patterns are equidistantly offset outwards layer by layer with a central position of the back mold core as a center; and a side of each raised pattern close to the center is of an equiangular obtuse angle, and a side of each raised pattern far away from the center is of an acute angle with an angular equal difference gradually decreasing.

Abstract: The present invention provides an intelligent resilience urban-rural evaluation system and a method thereof. The system includes: a data acquisition module, a data processing module, a model building module and an evaluation calculation module. Through the study of influence of earthquake motion time history on reliability and safety of building structures, reliability evaluation and health monitoring of complex building structure systems are realized by using super-computing and storage capabilities of cloud computing.

Abstract: According to implementations of the subject matter described herein, there is proposed a solution for supporting communications for an FPGA device. In an implementation, the FPGA device includes an application module and protocol stack modules. The protocol stack modules are operable to access target devices based on different communication protocols via a physical interface. The FPGA device further includes a universal access module operable to receive, from the application module, first data and a first identity of a first target device, the first target device acting as a destination of the first data, and transmit, based on the first identity and predetermined first routing information, the first data to a first protocol stack module accessible to the first target device via the physical interface. By introducing the universal access module, it is possible to provide unified and direct communications for the application module.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A system may be configured to generate an estimate of value at risk and may include a processor to process instructions that cause the system to generate a rolling time series of value data having a plurality of dimensions, perform a transformation of the time series, perform variance scaling and correlation scaling on transformed time series, reverse transform the results of the scaling, and estimate of a value-at-risk for the value data.