Abstract: A system includes a data processing system comprising one or more processors. The processor(s) are configured to identify one or more linking factors to determine that a first computing device is linked to a second computing device, with a certain probability, where the second computing device is proximate to the first computing device. The processor(s) are further configured to link the first computing device with the second computing device based on the determining, receive a request for content from the first computing device, provide the content to the second computing device, and generate a data structure to indicate a link between the first computing device and the second computing device.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: This application discloses positioning methods and communication apparatuses, and relates to the field of communication technologies. In one example, a method applied to a positioning terminal includes receiving a first message from a network device, wherein the first message comprises clock synchronization information and access network resource allocation information; sending access request information to the network device based on the first message; receiving positioning resource allocation information from the network device, wherein the positioning resource allocation information is determined after the network device receives the access request information sent by the positioning terminal and sends the access request information to a location management function (LMF); determining a positioning pulse based on the positioning resource allocation information; and sending the positioning pulse to one of three or more network devices in a range of a neighborhood of the positioning terminal.

Abstract: This application discloses a resource allocation method and a related device, to effectively avoid an inter-cell SRS resource conflict. The method in this application includes: A target base station receives a first correspondence from a location management function LMF, where the first correspondence indicates that a first user equipment UE uniquely corresponds to a first SRS resource in a plurality of cells, the plurality of cells include a cell served by the target base station, and the first UE is located in the cell served by the target base station. The target base station allocates the first SRS resource to the first UE based on the first correspondence.

Abstract: An endoscope device is provided, including: a first light source section, a second light source section, an imaging section, and a light cut filter. The first light source section is configured to project illumination light to an object. The second light source section is configured to project treatment light to the object. The imaging section is configured to capture an image of the object using reflected light from the object. The light cut filter is arranged between the object and the imaging section and has a transmittance greater than zero and less than a transmittance upper threshold for the treatment light, where the transmittance upper threshold is predetermined based on a rule of avoiding image overexposure.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: An endoscope device is provided, including: a first light source section, a second light source section, an imaging section, and a light cut filter. The first light source section is configured to project illumination light to an object. The second light source section is configured to project treatment light to the object. The imaging section is configured to capture an image of the object using reflected light from the object. The light cut filter is arranged between the object and the imaging section and has a transmittance greater than zero and less than a transmittance upper threshold for the treatment light, where the transmittance upper threshold is predetermined based on a rule of avoiding image overexposure.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: Embodiments of the present invention provide a fault diagnosis method and apparatus. A service in the fault diagnosis method relates to at least one user, and the fault diagnosis method includes: determining whether a terminal of each user allows performing fault diagnosis for the service; and performing fault diagnosis for the service if the terminal of each user allows performing fault diagnosis for the service. In the embodiments of the present invention, fault diagnosis for the user related service cannot be performed unless allowed by a user terminal or allowed by both the user terminal and a system side. Thereby, it is ensured that fault diagnosis is performed in a secure environment, which better complies with security laws and regulations.

Abstract: Embodiments of the present invention provide a fault diagnosis method and apparatus. A service in the fault diagnosis method relates to at least one user, and the fault diagnosis method includes: determining whether a terminal of each user allows performing fault diagnosis for the service; and performing fault diagnosis for the service if the terminal of each user allows performing fault diagnosis for the service. In the embodiments of the present invention, fault diagnosis for the user related service cannot be performed unless allowed by a user terminal or allowed by both the user terminal and a system side. Thereby, it is ensured that fault diagnosis is performed in a secure environment, which better complies with security laws and regulations.