Abstract: A method for assessing microbial drug resistance multi-level risks of antibiotic residues in water environments, belonging to the technical field of water environment assessment, comprises the following steps: S1, environment monitoring; S2, preliminary screening of antibiotics: S2-1, determination of n-octanol/water partition coefficient, and S2-2, determination of antibiotic environment concentration; S3, assessment of microbial drug resistance; and S4, high-level assessment. The assessment method of the present disclosure conducts a step-by-step assessment of target antibiotics or target antibiotic derivatives in water environment with risks.

Abstract: The present disclosure provides a secure booting method, apparatus, device for an embedded program and a storage medium. The method includes: when a boot program is running, acquiring data of an application program, including signature information, public key information, parameter information, encrypted data, and a digital check code; performing signature check according to the signature information; performing integrity check according to the digital check code if the signature check passes; and performing data decryption according to the public key information and the parameter information if the integrity check passes. The present disclosure may improve information security.

Abstract: Provided are a data communication method and system, an electronic device, a chip and a storage medium. The data communication method includes: establishing a wireless communication connection with a first receiving terminal, and notifying the connection information to a second receiving terminal. The connection information includes information of a communication channel for performing wireless communication between the transmitting terminal and the first receiving terminal. The connection information is used to instruct the at least one second receiving terminal to monitor communication data in the communication channel. When the at least one second receiving terminal knows after monitoring the communication data, data required to be transmitted to the first receiving terminal is transmitted to the communication channel.

Abstract: Embodiments presented herein provide apparatus and techniques for identifying and classifying processes and associated applications executing in a network. All processes executing in a network may be identified using a discovery process. The processes may be clustered based on associations between the processes. Suggested application entries may then be generated based at least in part on the clusters of processes. A configuration item type and a discovery pattern may be generated for each suggested application entry. A subsequent discovery process may use the configuration item type and discovery patterns to identify associated configuration items in the network.

Abstract: A computing system and method for remote monitoring and forecasting of performance of a managed network is disclosed. The computing system may be disposed within a remote network management platform and be configured for monitoring respective performance of each of a plurality of network entities of the managed network. For each network entity, an alert may be issued in response to determining that the monitored respective performance is below a respective threshold performance level. Based on analysis of a group of alerts, a likelihood may be determined that a different alert will be issued for the monitored performance of a particular network entity of the plurality for which no respective alert has yet been issued. In response to the likelihood exceeding a threshold, an alert prediction for the performance of the particular network entity may be issued together with a score corresponding to the likelihood.

Abstract: A method for measuring a power-on reset time includes: detecting a power supply pin voltage of a chip, and recording a time point at which the power supply pin voltage reaches a preset voltage as a first time point; detecting an output signal of a preset pin of the chip, and recording a time point at which the preset pin completes a pulse output for a first time after the chip is powered on, as a second time point, and recording a time point the preset pin completes a pulse output for a second time, as a third time point; wherein widths of the pulse output for the first time and for the second time are the same; and computing the power-on reset time of the chip according to the first time point, the second time point and the third time point.

Abstract: Embodiments presented herein provide apparatus and techniques for identifying and classifying processes and associated applications executing in a network. All processes executing in a network may be identified using a discovery process. The processes may be clustered based on associations between the processes. Suggested application entries may then be generated based at least in part on the clusters of processes. A configuration item type and a discovery pattern may be generated for each suggested application entry. A subsequent discovery process may use the configuration item type and discovery patterns to identify associated configuration items in the network.

Abstract: The present disclosure relates to a key generation method applied to a chip storing an internal key, which includes: acquiring (101) a first and a second random number; generating (102) an initial private key of the chip according to the first random number and the internal key, and generating an update private key of the chip according to the second random number and the internal key; generating (103) an initial public key corresponding to the initial private key according to the initial private key, and generating an update public key corresponding to the update private key according to the update private key; and sending (104) the initial public key, the update public key, and the second random number to a server that sends the second random number to the chip when receiving a private key update request of the chip, to trigger a private key update of the chip.

Abstract: Provided are a data communication method and system, an electronic device, a chip and a storage medium. The data communication method includes: establishing a wireless communication connection with a first receiving terminal, and notifying the connection information to a second receiving terminal. The connection information includes information of a communication channel for performing wireless communication between the transmitting terminal and the first receiving terminal. The connection information is used to instruct the at least one second receiving terminal to monitor communication data in the communication channel. When the at least one second receiving terminal knows after monitoring the communication data, data required to be transmitted to the first receiving terminal is transmitted to the communication channel.

Abstract: A computing device is provided that is configured to obtain, from a managed network, a plurality of response times of a network-based service provided by the managed network; to train, based on the plurality of response times, a probability distribution to model the managed network; to receive an additional response time from the managed network; to use the probability distribution to determine, for the additional response time, a percentile based on the additional response time; based on the percentile, to determine that the additional response time is anomalously high with respect to the plurality of response times of the network-based service; and to transmit, to a client device associated with the managed network, an indication that the additional response time is anomalously high. The probability distribution includes a central portion based on a plurality of bins and a tail portion based on a parametric distribution.

Abstract: A tunnel boring robot includes a tunnel boring machine, a sensing unit, an intelligent decision unit, and a controller unit. The sensing unit, the intelligent decision unit and the controller unit are disposed at the tunnel boring machine. The sensing unit is configured to sense, in real time, boring operation data of a current cycle during which the tunnel boring machine is working according to set boring parameter information. The intelligent decision unit is configured to receive the boring operation data sent by the sensing unit, and generate the set boring parameter information for a next cycle according to a preset prediction algorithm, the boring operation data and a desired boring effect. The controller unit is configured to receive the set boring parameter information, and control the tunnel boring machine to perform a boring operation for the next cycle according to the set boring parameter information.

Abstract: Systems and methods are disclosed for network event grouping. For example, methods may include generating a graph including vertices and edges, wherein at least one of the vertices is associated with an event type from a set of event types and wherein at least one of the edges is associated with a weight; removing, based on an associated weight and a first threshold, one or more edges from the graph; determining, after removing the one or more edges from the graph, whether the graph is chordal; responsive to determining that the graph is chordal, identifying a connected subgraph within the graph; determining a group of event types to include event types that are associated with vertices in the identified connected subgraph; and transmitting, storing, or displaying data specifying the group of event types.

Abstract: Some embodiments of the present disclosure provide a method for detecting a fault of a smart door lock, a smart door lock and a storage medium. The smart door lock includes a plurality of unlocking modules, and the method for detecting a fault of the smart door lock includes: monitoring state information of each of the unlocking modules independently; and sending fault information of an unlocking module in an abnormal state to a terminal device after monitoring the unlocking module in the abnormal state. By adopting the embodiments of the present disclosure, specific fault information of a fault which occurs can be accurately and timely known, and a specific position where the fault occurs may be located, which effectively reduces difficulties in detecting the fault and repairing the smart door lock.

Abstract: Provided are a data communication method and system, an electronic device, a chip and a storage medium. The data communication method includes: establishing a wireless communication connection with a preset first receiving terminal, and notifying the connection information to a second receiving terminal. The connection information includes information of a communication channel for performing wireless communication between the transmitting terminal and the first receiving terminal. The connection information is used to instruct the second receiving terminal to monitor communication data in the communication channel. When the second receiving terminal knows after monitoring the communication data, data required to be transmitted to the first receiving terminal is transmitted to the communication channel.

Abstract: The present application provides a data management method, apparatus, device, system and storage medium for a smart lock. The smart lock includes: respective databases corresponding to N unlock modes, N is an integer greater than 1, and the method includes: receiving a registration command transmitted by a terminal device; acquiring first unlock information of a current unlock mode according to the registration command; and storing the first unlock information of the current unlock mode into a database corresponding to the current unlock mode. Therefore, unlock efficiency of the smart lock is improved.

Abstract: A computing system and method for remote monitoring and forecasting of performance of a managed network is disclosed. The computing system may be disposed within a remote network management platform and be configured for monitoring respective performance of each of a plurality of network entities of the managed network. For each network entity, an alert may be issued in response to determining that the monitored respective performance is below a respective threshold performance level. Based on analysis of a group of alerts, a likelihood may be determined that a different alert will be issued for the monitored performance of a particular network entity of the plurality for which no respective alert has yet been issued. In response to the likelihood exceeding a threshold, an alert prediction for the performance of the particular network entity may be issued together with a score corresponding to the likelihood.

Abstract: A fingerprint module, a fingerprint identification system, a control method and a smart lock. The fingerprint module includes: a fingerprint sensor, an MOC, and a key member, and the key member is connected to the fingerprint sensor. The key member is configured to generate an interrupt signal according to a touch operation of a user on the key member to wake up the main control unit, thereby reducing power consumption of the main control unit.

Abstract: A computing system and method for remote monitoring and forecasting of performance of a managed network is disclosed. The computing system may be disposed within a remote network management platform and be configured for monitoring respective performance of each of a plurality of network entities of the managed network. For each network entity, an alert may be issued in response to determining that the monitored respective performance is below a respective threshold performance level. Based on analysis of a group of alerts, a likelihood may be determined that a different alert will be issued for the monitored performance of a particular network entity of the plurality for which no respective alert has yet been issued. In response to the likelihood exceeding a threshold, an alert prediction for the performance of the particular network entity may be issued together with a score corresponding to the likelihood.

Abstract: Embodiments of the present disclosure provides a power supply control method of an intelligent lock, an intelligent lock system, and a storage medium, where, the method includes: a controller acquires a wake-up request, where the wake-up request is used to indicate that the controller is in a working mode, supplies power to an operating device corresponding to the wake-up request when the controller is in the working mode, and stops supplying power to the operating device when determining that a processing corresponding to the acquired user operation has been accomplished by the operating device. According to this technical solution, an overall power consumption of the entire intelligent lock system including the controller and at least one operating device is low, which improves system stability and user experience.

Abstract: The present application provides a data management method, apparatus, device, system and storage medium for a smart lock. The smart lock includes: respective databases corresponding to N unlock modes, N is an integer greater than 1, and the method includes: receiving a registration command transmitted by a terminal device; acquiring first unlock information of a current unlock mode according to the registration command; and storing the first unlock information of the current unlock mode into a database corresponding to the current unlock mode. Therefore, unlock efficiency of the smart lock is improved.