Abstract: Provided are a method, apparatus, computer device, and storage medium for music recommendation based on a wearable device, and relates to the field of computer technologies. The method for music recommendation includes: obtaining one or more physiological parameters of a target user collected by the wearable device; inputting the one or more physiological parameters of the target user into a trained relaxation state assessment model to determine a current relaxation state of the target user; and determining at least one piece of target recommendation music based on at least one of the current relaxation state of the target user or relaxation parameters corresponding to multiple pieces of music to be recommended, wherein the at least one piece of target recommendation music is configured to be played for the target user.

Abstract: A calculation system for predicting a proppant embedding depth based on a shale softening effect is provided, including a sampling test terminal, a scheduling module, a monitoring module, and a calculation module, wherein the scheduling module, the monitoring module, and the calculation module are connected in communication, and the monitoring module is connected to an external operating system through a wireless network, wherein the external operating system is configured to perform a hydraulic fracturing operation and receive a first control signal and/or a second control signal from the monitoring module. The sampling test terminal is configured to test the samples and obtain test data. The scheduling module is configured to determine a target construction parameter.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for online fraud protection. One of the methods includes receiving a query associated with a user account of an online service provider; providing the query to a deep neural network model to generate a prediction of whether the user account is fraudulent, wherein the deep neural network model is trained using anonymized event data for a collection of users received from one or more online service providers; and providing the prediction to the online service provider.

Abstract: An object encoding and computation method in a database system, where a global object sample space is constituted based on correlation between a plurality of object sample spaces in a database. A global dictionary table is created in the global object sample space to provide a globally unique encoding value for each object, set the encoding value as an object identifier (ID) of the object, and ensure that the object ID and object description information are in a one-to-one mapping relationship. The database object is encoded and compressed based on the global dictionary table. Further, the object ID is directly used for database query computation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for online fraud protection. One of the methods includes receiving a query associated with a user account of an online service provider; providing the query to a deep neural network model to generate a prediction of whether the user account is fraudulent, wherein the deep neural network model is trained using anonymized event data for a collection of users received from one or more online service providers; and providing the prediction to the online service provider.

Abstract: An object encoding and computation method in a database system, where a global object sample space is constituted based on correlation between a plurality of object sample spaces in a database. A global dictionary table is created in the global object sample space to provide a globally unique encoding value for each object, set the encoding value as an object identifier (ID) of the object, and ensure that the object ID and object description information are in a one-to-one mapping relationship. The database object is encoded and compressed based on the global dictionary table. Further, the object ID is directly used for database query computation.

Abstract: The brake system composes a circular wheel, brake shoes, brake disc and cable reel rotation. The rubbing action between brake shoes and brake disc generating from the rotation of Axle rotating with the planetary gear, which is driven by the cable reel, reduces the falling speed. (Falling speed about 1.7 meters per second) The inner cable is designed with a length of 82 meters and max load of 177 kg. The decelerator of this device could stop the falling immediately by using hand brake, in order to achieve rescue and avoid probable injure.

Abstract: A network intrusion detection system (IDS) is built at an important network node and used to detect and monitor network packets. The network intrusion detection system includes a network card and a system core processor. When receiving a network packet, a micro-processor of the network card performs a packet decode procedure and a packet preprocess procedure, thereby verifying a type and a source address of the packet in advance and converting the packet into an IDS format packet. Afterwards, the system core processor determines whether the packet is an intrusion packet. Since the computation of the packet decode procedure and the packet pre-process procedure is handled by the network card, the network intrusion detection system will not lose packets due to too heavy computation burden, thereby greatly improving the accuracy of the network intrusion detection system.