Abstract: A method and a device for viewing a conference are provided. In the method, after a wide-view video of a specific conference, related conference event data, and speech content of each participant are obtained, a highlight video of the specific conference is correspondingly generated. Accordingly, the efficiency of conference viewing is improved.

Abstract: During web application development, receiving a request for a webpage for a first business object type, the first request comprising a first business object type identifier of the first business object type, receiving a first expression for selecting an instance of the first business object type from a plurality of instances of the first business object type from an object data source, the expression specifying a first data source and an operation and generating the webpage, the webpage comprising a first user interface (UI) widget for the first business object type and a first instruction for prepopulating the first UI widget with first data from the instance of the first business object type, the first instruction including the first expression, the first expression executable to perform the operation on data from the first data source to generate a result identifying the instance of the first business object type.

Abstract: A deep learning module classifies messages received from a plurality of entities into one or more conversation threads. In response to receiving a subsequent message, the deep learning module determines which of the one or more conversation threads and a new conversation thread is contextually a best fit for the subsequent message. The subsequent message is added to the determined conversation thread.

Abstract: The application discloses a network packet processing method and a network server. The method discloses that a network apparatus receives a first TCP packet sent by a client, where the first TCP packet includes a first quintuple and then the network apparatus determines a first thread that processes the first TCP packet according to the first quintuple and processes the first TCP packet by using the first thread.

Abstract: An information processing apparatus managed by an administrator and used by plural users includes a reception unit and a request unit. The reception unit receives a disclosure request from the administrator related to secret information in a job processed by the information processing apparatus. The request unit requests a disclosure of the secret information with respect to a user of a target job that is a target of the disclosure request.

Abstract: Various embodiments of systems, apparatus, and/or methods are described for restricting user devices from accessing a communication network. In one implementation, multiple user devices are assigned to a user profile. At least one access parameter is designated for the user profile. An access device monitors data usage, time usage, and content usage of each of the devices associated with the user profile. In some examples, the access device may consolidate the data usage and time usage of all of the devices. If one or more of the consolidated data usage, consolidated time usage, or content usage violates the access parameter of the user profile, the access device restricts at least one of the multiple user devices from accessing the communication network.

Abstract: Embodiments for implementing intelligent risk detection and mitigation in a transport network by a processor. Data gathered from a plurality of data sources relating to an entity and a selected region of interest may be analyzed. Behavior of an entity, in relation to a risk event, may be learned and interpreted based on a plurality of identified contextual factors, geographical data, current data, historical data, a learned risk event model, or a combination thereof. One or more mitigation actions may be performed to mitigate risk of occurrence or a possible negative impact of the risk event caused at least in part by the behavior of the entity.

Abstract: Disclosed are various approaches for automating the detection and identification of anomalous devices in a management service. Device check-ins are received by a management service and housed in a data store. The quantity of device check-ins over various time periods can be analyzed using various approaches to identify anomalous devices.

Abstract: A GPU Box server cascade communication method, device, and system. The method includes: detecting an i2c communication bus through a baseboard management controller (BMC) in a powered-up GPU Box server to determine whether a next-stage GPU Box server corresponding to the GPU Box server exists, and if yes, reading an IP address and location information of the next-stage GPU Box server from the i2c communication bus by means of the BMC in the GPU Box server; and storing the IP address and the location information of the next-stage GPU Box server into a data structure of the GPU Box server so that a master control server reads the data structure of the GPU Box server, and establishing network communication with the next-stage GPU Box server according to the IP address and the location information stored in the data structure.

Abstract: Disclosed is a server apparatus. The server apparatus comprises: a communication unit for communicating with a user terminal apparatus; a storage for storing compatible information between devices; and a processor for, if the user terminal apparatus accesses the server apparatus and identification information on the user terminal apparatus is received from the user terminal apparatus, generating recommended device information compatible with the user terminal apparatus on the basis of the information stored in the storage and transmitting the recommended device information to the user terminal apparatus.

Abstract: A method of data conditioning is disclosed that in one aspect can include the steps of receiving a data stream, encoding a time code in the data stream to identify a portion of the data stream corresponding to a content fragment, and separating the identified portion of the data stream to define the content fragment, wherein the content fragment comprises the encoded time code.

Abstract: A system enabling multiple screens sharing in an online meeting. The system comprises a first data processing system 102 comprising a first processor module 202 and a first digital client 214. The first processor module 202 causes the first digital client 214 to individually share at least a first screen 110 and a second screen 112. The system further comprises a second data processing system 104 comprising a second processor module 302 and a second digital client 314, the second processor module 302 causing the second digital client 314 to individually share at least a third screen 114 and a fourth screen 116. The first digital client 214 shares the first screen 110 and the second screen 112 while the second digital client 314 shares the third screen 114 and the fourth screen 116.

Abstract: A system and method for mirroring traffic data is described. A traffic proxy samples traffic data between a client device and a first web server. The traffic data comprises requests from the client device and corresponding responses from the first web server. The sampled traffic data is encoded and relayed to a second web server. The second web server comprises an updated version of a web service that is operating at the first web server. Responses from the first web server are compared with responses from the second web server based on the requests in the encoded sampled traffic data. The differences between the responses from the first web server and the second web server is stored.

Abstract: The computer-implemented method of forwarding contact data associated with a potential customer generally has the steps of: receiving customer purchase data from the potential customer, the customer purchase data comprising the contact data and preference data; communicating a purchase interest notification to a plurality of vehicle dealers via a communication network, the purchase interest notification including the preference data; receiving a plurality of interest notices associated with the purchase interest notification from interested ones of the plurality of vehicle dealers; and forwarding the contact data of the potential customer to at least one privileged vehicle dealer based on said reception, in which the step of forwarding includes forwarding the contact data to at least one privileged vehicle dealer associated with a make different from the make associated with the vehicle make data of the customer purchase data.

Abstract: A system to provide end users with recommendations on improving the quality of the incident management process is provided. A computer device identifies a set of historical incident reports, wherein the historical incident reports identify: (i) incident tickets, (ii) one or more skills associated with personnel assigned to the incident tickets, and (iii) whether the incident tickets were resolved within threshold periods of time to resolve. The computing device trains a machine learning model to predict sets of skills associated with resolving incident tickets within the threshold periods of time to resolve based, at least in part, on the identified set of historical incident reports. The computing device assigns a set of personnel to the new incident ticket based, at least in part, on the predicted set of skills associated with resolving the new incident ticket within the threshold period of time to resolve.

Abstract: Techniques for providing remote access to application content are described herein. A virtual computing node may be leased to a first user requesting access to an application. On the virtual computing node, a virtualization process may spawn the application as a child process. In response to a second request, by the same user, to access an additional application, the virtual computing node may be identified. The virtualization process may spawn the second application as a child process in the process space of the first application. Data may be exchanged between the applications within the process space.

Abstract: The present disclosure relates to processing operations configured to provide processing that automatically analyzes acoustic signals from attendees of a live presentation and automatically triggers corresponding reaction indications from results of analysis thereof. Exemplary reaction indications provide feedback for live presentations that can be presented in real-time (or near real-time) without requiring a user to manually take action to provide any feedback. As a non-limiting example, reaction indications may be presented in a form that is easy to visualize and understand such as emojis or icons. Another example of a reaction indication is a graphical user interface (GUI) notification that provides a predictive indication of user intent derived from analysis of acoustic signals.

Abstract: Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

Abstract: A method for providing timing security in a time sensitive network (TSN), includes monitoring TSN times in timing synchronization packets exchanged between TSN network nodes. The method further includes monitoring TSN timing values calculated by TSN network nodes. The method further includes determining, using TSN times and TSN timing values, whether a timing attack is indicated. The method further includes, in response to determining that a timing attack is indicated, performing a timing attack effects mitigation action.

Abstract: An internet service provider (ISP) is configured to analyze data sent by a user to determine a subscriber account associated with the data and a user associated with the data. A database is then queried to determine the number of users of the subscriber account, with a number above a threshold indicating a likely theft of service. This automatic process is accompanied by automated messaging to the user with information as to the measures taken and remedial options. The messaging may be different dependent on whether the user is deemed to be an authorized user having subscriber account administration rights.