Abstract: Methods and apparatuses for mapping processing and de-mapping processing in an optical transport network are provided. A Low Order Optical Channel Data Unit (LO ODU) signal is mapped into a payload area of an Optical Channel Data Tributary (ODTU) signal in units of M bytes. M is equal to the number of time slots of a High Order Optical Channel Payload Unit (HO OPU) that are to be occupied by the ODTU signal, and M is an integer larger than 1. Overhead information is encapsulated to an overhead area of the ODTU signal. Thereafter, the ODTU signal is multiplexed into the HO OPU. According to the application, an efficient and universal mode for mapping the LO ODU to the HO OPU is provided.

Abstract: A catalyst system includes a porous polymeric base, a nanoscale metal catalyst layer disposed on the porous polymeric base, and a nanoscale electrolyte layer disposed on the metal catalyst layer. The catalyst system is used in methods to perform three-phase catalytic reactions.

Abstract: Systems and methods for determining an offset of a position of a focal point of an X-ray tube is provided. The methods may include obtaining at least one parameter associated with an X-ray tube during a scan of a subject. The methods may further include determining a target offset of a position of a focal point based on the at least one parameter and a target relationship between a plurality of reference parameters associated with the X-ray tube and a plurality of reference offsets of reference positions of the focal point. The methods may further include causing, based on the target offset, a correction on the position of the focal point of the X-ray tube.

Abstract: A network quality determining method includes, when experience quality represented by a customer experience index of a target user within a first time period is lower than experience quality represented by a customer experience index threshold, determining, using a first parameter value that is of a network key performance indicator (KPI) parameter of the target user within a second time period and that is collected by a collection device in a carrier network, a second parameter value of the network KPI parameter of the target user within the second time period in a home network, and when network quality represented by the second parameter value of the network KPI parameter is lower than network quality represented by a first threshold corresponding to the network KPI parameter in the home network, determining that quality of the home network is poor.

Abstract: This application provides an optical link fault identification method, and relate to the field of communications technologies. The method includes: obtaining performance data of a network device, extracting a feature parameter of the performance data, and identifying a fault mode on an optical link based on the feature parameter. The method resolves problems of a difficulty in fault identification and slow troubleshooting that are caused by a large quantity of devices, many line faults, and a difficulty in obtaining manual troubleshooting cases. In addition, a fault can be quickly identified when the fault occurs, improving troubleshooting efficiency. When an optical link risk does not cause a fault, deterioration of the performance data can be found in advance based on a feature, to perform identification and warning.

Abstract: A method includes obtaining a first memory log, where the first memory log includes log information of a plurality of garbage collections, and log information of each garbage collection includes a garbage collection time, and includes at least one of a downtime, memory usage after garbage collection, and memory usage before garbage collection, obtaining, based on log information in a first detection time window, first statistical information corresponding to the first detection time window, and determining, based on the first statistical information corresponding to the first detection time window, an anomaly degree corresponding to the log information in the first detection time window.

Abstract: A data processing method where an analysis device obtains first network data and historical fault propagation paths and processes the first network data to obtain a first fault propagation path. When the historical fault propagation paths include a target fault propagation path that is the same as the first fault propagation path, the analysis device updates a quantity of target fault propagation paths.

Abstract: Embodiments of this application provide a method and an apparatus for obtaining optical distribution network (ODN) logical topology information, a device, and a storage medium. The method includes: obtaining identification information of each first ONU that is connected to a first passive optical network (PON) port and whose optical path changes and feature data of the first ONU in a first time window, where the feature data includes receive optical power and/or an alarm event; obtaining, based on the feature data of each first ONU, a feature vector corresponding to each first ONU; and performing cluster analysis on the feature vector corresponding to each first ONU, to obtain topology information corresponding to the first PON port. ONU topology information is obtained by analyzing an ONU feature.

Abstract: A fault localization method includes: obtaining user experience data, network topology data, and resource management data that are of a video service; where the network topology data is used to represent a connection relationship between network devices, and the resource management data is used to represent a connection relationship between user equipment and the network devices; determining a QoE experience indicator of a network device based on the user experience data, the network topology data, and the resource management data; and when QoE represented by the QoE experience indicator of the network device is lower than QoE represented by a device screening threshold, determining the network device as a possible questionable device.

Abstract: This application provides an optical link fault identification method, and relate to the field of communications technologies. The method includes: obtaining performance data of a network device, extracting a feature parameter of the performance data, and identifying a fault mode on an optical link based on the feature parameter. The method resolves problems of a difficulty in fault identification and slow troubleshooting that are caused by a large quantity of devices, many line faults, and a difficulty in obtaining manual troubleshooting cases. In addition, a fault can be quickly identified when the fault occurs, improving troubleshooting efficiency. When an optical link risk does not cause a fault, deterioration of the performance data can be found in advance based on a feature, to perform identification and warning.

Abstract: Embodiments of this application provide a method and an apparatus for obtaining optical distribution network (ODN) logical topology information, a device, and a storage medium. The method includes: obtaining identification information of each first ONU that is connected to a first passive optical network (PON) port and whose optical path changes and feature data of the first ONU in a first time window, where the feature data includes receive optical power and/or an alarm event; obtaining, based on the feature data of each first ONU, a feature vector corresponding to each first ONU; and performing cluster analysis on the feature vector corresponding to each first ONU, to obtain topology information corresponding to the first PON port. ONU topology information is obtained by analyzing an ONU feature.

Abstract: A method and an apparatus for determining a status of a network device are provided. A warning analysis device obtains a plurality of pieces of target key performance indicator KPI data of the network device within preset duration, processes the plurality of pieces of target KPI data to generate an element, forms the feature vector by using generated elements corresponding to the plurality of pieces of feature information, and analyzes the feature vector based on a preset warning analysis model, to determine the status of the network device. In this way, the status of the network device is determined by analyzing a plurality of pieces of target KPI data within a period of time, instead of by using only data at a moment. This improves the accuracy of determining the network device, so as to reduce an omission of a warning.

Abstract: A network device obtains, at different time, a plurality of event-object connection graphs corresponding to a communications network; determines a plurality of subgraphs based on the plurality of event-object connection graphs; updates an object in each of the plurality of subgraphs to a corresponding object type based on a correspondence between an object and an object type, to obtain a plurality of updated subgraphs; and determines a fault propagation condition based on the plurality of updated subgraphs, where the fault propagation condition is used to indicate a path through which a fault is propagated in the communications network.

Abstract: In a fault root cause determining method, a management device obtains a fault feature of a target network in which a fault occurs. The fault feature is determined based on a knowledge graph of the target network in which the fault occurs. The knowledge graph includes a network entity and an abnormal event entity. The abnormal event entity is connected to an abnormal network entity. The abnormal network entity is a network entity that generates an abnormal event in the target network. The abnormal event entity is configured to indicate the abnormal event generated by the abnormal network entity. A type of the network entity is a network device, an interface, a protocol, or a service. The management device determines a fault root cause of the target network based on the fault feature.

Abstract: A fault localization method includes: obtaining user experience data, network topology data, and resource management data that are of a video service; where the network topology data is used to represent a connection relationship between network devices, and the resource management data is used to represent a connection relationship between user equipment and the network devices; determining a QoE experience indicator of a network device based on the user experience data, the network topology data, and the resource management data; and when QoE represented by the QoE experience indicator of the network device is lower than QoE represented by a device screening threshold, determining the network device as a possible questionable device.

Abstract: A highly efficient multi junction photovoltaic device, such as a two, three, or four junction device, is disclosed. The multi-junction device may include a first subcell comprising a first photoactive region and a second subcell comprising a second photoactive region. The first and second photoactive regions are designed to minimize spectral overlap and maximize photocurrent across a broad absorption spectra, such as wavelengths ranging from 400 nm to 900 nm. The device may further include an inter-connecting layer, disposed between the first subcell and the second subcell, that is at least substantially transparent. By introducing a transparent interconnecting layer, a dual element (tandem) cell achieves a power conversion efficiency of 10.0±0.5%. By adding an additional (3rd) sub-cell that absorbs at the second order optical interference maximum within the stack. The triple junction cell significantly improves the quantum efficiency at shorter wavelengths, achieving a power conversion efficiency of 11.1±0.

Abstract: The embodiments of the present invention disclose methods and apparatuses for mapping processing and de-mapping processing in an optical transport network. a Low Order Optical Channel Data Unit (LO ODU) signal is mapped into a payload area of an Optical Channel Data Tributary (ODTU) signal in units of M bytes. M is equal to the number of time slots of a High Order Optical Channel Payload Unit (HO OPU) that are to be occupied by the ODTU signal, and M is an integer larger than 1. Overhead information is encapsulated to an overhead area of the ODTU signal. Thereafter, the ODTU signal is multiplexed into the HO OPU. In this way, an efficient and universal mode for mapping the LO ODU to the HO OPU is provided.

Abstract: A fault localization method includes: obtaining user experience data, network topology data, and resource management data that are of a video service; where the network topology data is used to represent a connection relationship between network devices, and the resource management data is used to represent a connection relationship between user equipment and the network devices; determining a QoE experience indicator of a network device based on the user experience data, the network topology data, and the resource management data; and when QoE represented by the QoE experience indicator of the network device is lower than QoE represented by a device screening threshold, determining the network device as a possible questionable device.

Abstract: High efficiency multi-junction small-molecule organic photovoltaic devices and methods of fabricating the same are disclosed herein. Design considerations for improving spectral coverage and light-harvesting efficiency using the multi-junction devices are also disclosed.

Abstract: Disclosed herein are organic photosensitive optoelectronic devices comprising two electrodes in superposed relation; a mixed photoactive layer located between the two electrodes, wherein the mixed photoactive layer comprises at least one donor material having a HOMO energy and at least one acceptor material having a LUMO energy, wherein the at least one donor material and the at least one acceptor material form a mixed donor-acceptor heterojunction; a photoactive layer adjacent to and interfacing with the mixed photoactive layer, wherein the photoactive layer comprises a material having a LUMO energy within 0.3 eV of the LUMO energy of the at least one acceptor material or a HOMO energy within 0.3 eV of the HOMO energy of the at least one donor material; and a buffer layer adjacent to and interfacing with the mixed photoactive layer.