35 results about "Network media" patented technology

The invention relates to the technical field of network content security, in particular to a network media video sensitive information intelligent identification and early warning system, which comprises a data acquisition module for acquiring network media video data; the video information extraction module performs multi-dimensional analysis on the acquired data to obtain depth features; the AIGC video detection module identifies whether the content is the content generated by the AIGC technology or not according to the depth feature, and if yes, an AI generation mark is marked; the causal inference and evaluation module is used for carrying out causal correlation diagnosis on intention and context, carrying out deep analysis through an anti-fact inference technology, judging whether the intention is sensitive information or not, evaluating dangerousness and obtaining a dangerousness level; and the early warning module takes the minimum intervention cost and the maximum risk control as targets, matches and dynamically generates an optimal intervention scheme from a strategy library in combination with the risk level, and intervenes the sensitive video. Therefore, the problems of incomplete multi-modal information analysis, lack of an AI generation content identification mechanism and the like are solved.

The invention relates to a network interface self-adaptive switching method, a network interface self-adaptive switching device and a public network access system. The network interface adaptive switching method comprises the following steps: monitoring a physical layer state of an external network interface to obtain a target active medium type; once the type of the target active medium changes, switching the corresponding hardware interface according to the type of the target active medium to obtain an interrupt signal; based on the interrupt signal and a target active medium type, performing dynamic optimization and security policy updating on protocol stack parameters at the same time; and finally, enabling the current SoC to communicate according to the optimized protocol stack configuration and the updated security configuration, and completing dynamic switching of communication network media. According to the network interface self-adaptive switching method provided by the invention, the self-adaptive switching of the network interface is realized without manual intervention, so that the switching response time is remarkably shortened, and the real-time performance and the reliability of public network access are improved.

The invention discloses a high-speed rail station passenger flow volume prediction method and device, and the method comprises the steps: firstly obtaining historical multi-modal data which specifically comprise historical ticket business data, historical weather data, historical holiday and festival data, historical urban activity data, historical network media data and historical abnormal traffic data; extracting features from the historical multi-modal data, inputting the features into a to-be-trained prediction model, and training the features to obtain a prediction model; and then multi-modal data of the prediction day is input into the prediction model to obtain the passenger flow volume of the prediction day, so that the problem of inaccurate prediction caused by single data training is avoided, and the accuracy of predicting the passenger flow volume of the high-speed rail station is improved.

The invention provides a rock mass fracture network medium reconstruction method and system based on image tracking, and belongs to the technical field of fracture network reconstruction, and the method comprises the steps: obtaining a to-be-reconstructed fracture network, and carrying out the preprocessing of the to-be-reconstructed fracture network, and obtaining a binary image; skeletonizing the binary image to obtain a single-pixel wide fissure main ridge; identifying end points and intersections of the fracture skeleton based on a neighborhood connection relation, and performing constrained graph tracking by taking the end points and the intersections as graph nodes, taking a connection skeleton sequence between the end points and the intersections as graph edges and taking the end points as starting points to obtain an ordered vertex coordinate sequence of each fracture broken line; and performing multi-point coordinate calibration on the ordered vertex coordinate sequence, mapping the ordered vertex coordinate sequence to a target two-dimensional coordinate system, generating a polyline command text file based on the mapped coordinates, and reconstructing the fracture network medium by using the polyline command text file. The method is oriented to data flow of heterogeneous software, a special interface is not needed, batch processing is supported, and the efficiency and accuracy of cross-platform modeling are improved.

Embodiments described herein involve an auxiliary zone contributing audio to a primary zone. In an example implementation, a network media system determines that a first zone in the network media system is playing back a first type of audio content and that a second zone in the network media system is not playing back audio content. While the first zone is playing back the first type of audio content and the second zone is not playing back audio content, the network media system forms a temporarily playback configuration. In the temporary playback configuration, the first zone plays back primary audio content including full frequency range audio content and the second playback device of the second zone plays back auxiliary audio content including low frequency range audio content.

The invention relates to the field of data analysis, in particular to an intelligent data visualization and regulation system of a pipe network valve, which comprises a data processing module, a delay analysis module, a delay influence module and a visualization regulation module, and is characterized in that the data processing module determines a resistance sudden change characteristic value, an adhesion influence characteristic value and a valve interference characteristic value; the delay analysis module calculates an operation delay characterization value so as to determine the operation delay tendency of the valve, the delay influence module responds to the abnormal operation delay tendency, calculates a delay influence coefficient so as to judge the pipe network medium delay transmission state and calls the visual regulation and control module, and the visual regulation and control module responds to the abnormal operation delay tendency and calculates the delay influence coefficient so as to judge the pipe network medium delay transmission state. And the valve regulation and control module is used for regulating and controlling the valve based on the judgment result of the pipe network medium delayed transmission state. According to the method, the stress and impurity characteristics when the valve is opened are analyzed, the delay state of the valve is determined, and the influence of valve delay on pipe network transmission is determined in combination with mutual interference of the pipe network valve, so that the valve is adjusted.

The present application relates to a kind of brand influence dynamic monitoring method based on big data driving, comprising the following steps: collecting the webpage data of various network media and various forums by network crawler and carrying out pretreatment to webpage data;Media public opinion sentiment classification model is built, and the public opinion information in the webpage data of various network media after pretreatment is classified by media public opinion sentiment classification model;Hot topic mining model is built, and hot topic in the webpage data of various forums after pretreatment is mined by hot topic mining model, meanwhile, hot topic tracking model is built, and hot topic is tracked by hot topic tracking model;Brand influence trend prediction model is built, and the influence trend of the brand is predicted by the public opinion information related to the brand corresponding to the model and relevant hot topic, which provides early warning capability for brand party.

Media item(s) stored on an image capture device are identified for sharing. The image capture device runs a web server that hosts the media item(s) and runs a media access webpage for other computing device(s) to access the hosted media item(s). The image capture device creates a communication network having a network name and a network password, generates machine-readable optical code(s) that convey the network name and the network password of the communication network, and presents the machine-readable optical code(s) on an electronic display. A computing device that captures an image including the machine-readable optical code(s) connects to the communication network using the network name and the network password of the communication network conveyed by the machine-readable optical code(s). The media access webpage is provided to the computing device connected to the communication network, which enables a user of the computing device to access the hosted media item(s).

The application relates to the field of network media, in particular to a virtual prop interaction method and device and computer equipment. The method comprises the following steps: a multimedia playing interface is displayed, and a target object is displayed in the multimedia playing interface; an interaction entrance is displayed in the multimedia playing interface; in response to a triggering operation on the interaction entrance, an interaction animation is displayed in a region range corresponding to the target object in the multimedia playing interface, and the interaction animation comprises a virtual prop which interacts in a manner matched with a facial expression of the target object. The method can improve the diversity of interaction manners.

1. Name of the product in this design: Network Media Player (S905L_TS). 2. Purpose of this design: To connect to a television or other display device to enable it to have network interactive functions, such as providing internet TV, web browsing, and gaming entertainment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a firmware upgrading method and device for an optical network unit (ONU), a storage medium and equipment, and the method comprises the steps: receiving upgrading configuration information for a plurality of ONUs to be upgraded, the upgrading configuration information comprising a target ONU identifier, an upgrading mode and a corresponding mirror image file; according to the upgrading configuration information, an independent upgrading queue is maintained for each passive optical network media access control chip PONMAC in the OLT, and nodes in the upgrading queues are used for aggregating ONUs with the same mirror image file and the same upgrading mode; and executing a mirror image upgrading process corresponding to the upgrading mode of the target ONU in each upgrading queue through a multi-thread cooperation mechanism which is established by the OLT for each PONMAC and runs in parallel. According to the embodiment of the invention, flexible multi-model, multi-file and multi-batch ONU automatic upgrading is realized through a multi-thread cooperation mechanism and a differentiation strategy aiming at different upgrading modes, and the ONU upgrading and operation and maintenance efficiency is improved.

The application is suitable for butterfly valve control technical field, especially relates to a kind of integrated wireless state monitoring's butterfly valve remote intelligent control method, comprising: receiving the wireless time sequence synchronization valve state working condition data of first target butterfly valve and second target butterfly valve from pipe network intelligent control terminal;Determine the first target control parameter of first target butterfly valve and the second target control parameter of second target butterfly valve based on wireless time sequence synchronization valve state working condition data;Determine the target control adjustment rate of first target control parameter and second target control parameter based on the position information of first target butterfly valve and second target butterfly valve;Based on target control adjustment rate, first target control parameter and second target control parameter, drive first target butterfly valve and second target butterfly valve complete parameter switching and state adjustment, and synchronously return butterfly valve real-time operation state data to pipe network intelligent control terminal.The method realizes the linkage execution of upstream and downstream butterfly valves, and guarantees the stability of pipe network medium transmission.

The disclosure provides a display apparatus and a data processing method. The display apparatus detects a media resource type of a target program in response to a recording command for the target program. The media resource type includes a network media resource and a non-network media resource. Based on that the media resource type is the network media resource, the display apparatus downloads media resource data of the target program according to the resource locator address and writes the media resource data onto a memory; and based on that the media resource type is the non-network media resource, the display apparatus searches for a target network media resource corresponding to the target program, and downloads media resource data of the target program according to the resource locator address and writes the media resource data onto the memory based on that the target program has the target network media resource.

The invention discloses a heterogeneous cluster network media access control method for submarine topography surveying and mapping. According to the method, a hybrid access strategy combining polling and competition is adopted, and operation is carried out in a periodic mode. In each communication period, firstly, each USV node broadcasts an acoustic assisted positioning packet according to a preset time slot, and reserves an emergency request window for an AUV node for the AUV node to broadcast emergency information; then, the AUV nodes broadcast state information of the AUV nodes in sequence, and on one hand, formation control is achieved; on the other hand, the USV node gathers the collected AUV state information to the central USV node through radio frequency communication and uploads the AUV state information to the shore-based node. In addition, the protocol is provided with a central USV active inquiry mechanism, and if the state information of a certain AUV is not received in two continuous periods, the node state is inquired actively. The method is suitable for submarine topography mapping and other tasks, and can effectively support reliable communication of the USV-AUV heterogeneous cluster network.

The utility model discloses a monitoring system control cabinet mounting bracket, which relates to the technical field of control cabinet mounting racks, and comprises a mounting rack, a mounting groove I and a mounting groove II are formed in the lower side of the mounting rack, a vehicle-mounted radio station and a distributor are respectively mounted in the mounting groove I and the mounting groove II, a mounting groove III is formed in the upper side of the mounting rack, and a vehicle-mounted radio station and a distributor are respectively mounted in the mounting groove III. A plurality of first mounting holes are formed in the two sides of the mounting frame. According to the monitoring system control cabinet mounting bracket, the vehicle-mounted radio station and the distributor on the mounting rack are transversely mounted on the lower part side by side, so that the upper part of the mounting rack has enough space for mounting a network media server or other equipment, and reasonable distribution and utilization of the space on the mounting rack are realized; the problems that space distribution on the mounting rack is unreasonable, and new electrical equipment is difficult to assemble on the mounting rack are effectively solved.

Embodiments are provided for updating a playlist that has been added to a playback queue in response to changes to the playback queue. The playback queue may be associated with a zone of a network media system such that items in the playback queue are to be rendered by the zone. The playlist may include one or more items playable by the zone, and may be stored separately from where the playback queue is maintained. Embodiments are also provided for updating a playback queue in response to modifications to a playlist included in the playback queue.

A Reconfigurable Optical Add / Drop Multiplexer (ROADM) includes degree components where there are one or more Media Channels (MCs) configured thereon; multiplexer and demultiplexer components; and a controller configured to, responsive to a request for a loopback test on Network Media Channel (NMC) that is part of a configured Media Channel (MC), determine whether there are neighboring channels to the NMC, configure deadbands on optical spectrum based on the determining, cause configuration of a modem for the loopback test, and cause performance of the loopback test with the modem.

This invention proposes a rumor detection method integrating sentiment mining, comprising the following steps: Step A: Collecting and extracting the text content and comments of source posts from social media, and manually labeling the source posts with true tags to form a training dataset DT; Step B: Using the training dataset DT, training a deep learning network model N based on multi-level attention and knowledge graphs, the training content including analyzing the authenticity of source posts and predicting the authenticity tags of source posts; Step C: Inputting the text content and comments of source posts into the trained deep learning network model N to obtain the authenticity tags of source posts; This invention can improve the accuracy of rumor detection on Weibo.

The invention provides an equipment internet-of-things unified access method based on wide area discovery, which is used for configuring a corresponding programmable control logic device for a factory connection space, and comprises the following steps: the programmable control logic device responds to the monitoring time for reaching any corresponding factory access space; determining all current devices accessed to a fixed medium unit existing in the factory access space, and determining all predetermined devices of the factory access space corresponding to the monitoring time based on predetermined information; the programmable control logic device performs repulsion operation on the preset equipment and the current equipment, and determines the medium occupation amount based on each piece of obtained unified equipment; and the programmable control logic device responds to the condition that the medium occupation amount is smaller than the medium distribution amount of the corresponding fixed medium unit, and controls the moving unit to drive the medium supplementing unit to move to the factory access space for medium adjustment. The invention at least improves the utilization efficiency of the network medium.

Described herein are various embodiments of decentralized media distribution systems, devices and methods over a scalable local network. Embodiments relate to scalable media distribution amongst media data components comprising at least one media acquisition unit for acquires source media data, and at least one media presentation unit for processing source media data. Embodiments may comprise two or more transceiver units comprising: at least two source media signal ports for receiving source media signals and transmitting source media signals from and to one of the media presentation units; a signal converter operable to packetize source media signals for communication over said packetized communications network, and to convert packetized network media signals to source media signals for communicating to the media presentation units; and a packetized network media data transceiver operable to multicast and receive packetized network media signals over a packetized communications network to and from any other transceiver unit.

A media coder performs entropy coding techniques for media data coded using neural-based techniques. A media coder is configured to determine a probability distribution function parameter for a data element of a data stream coded by a neural-based media compression technique, wherein the probability distribution function parameter is a function of a standard deviation of a probability distribution function of the data stream, determine a code vector based on the probability distribution function parameter, and entropy code the data element using the code vector.

The invention relates to the technical field of big data analysis and supply chain management, and discloses a fast moving consumer goods sales prediction and inventory optimization method based on big data analysis, and the method comprises the following steps: S1, obtaining a historical sales record of fast moving consumer goods, a sales promotion discount, a network media impact factor, and a traffic busy index of a position where a store is located; s2, generating a unified feature vector Xt by using the extracted multiple pieces of information; s3, constructing a fast moving consumer goods prediction sales model FMCG, and introducing an attention mechanism and a bidirectional LSTM model BiLSTM into the model; s4, constructing a dynamic safe inventory function model P; and S5, model optimization: performing optimization by using a loss function in combination with an Adam optimizer. The method solves the defects that in the prior art, the data island problem is obvious, sales, inventory and external factor data cannot be fused, the model generalization ability is insufficient, and the method cannot adapt to the fast volatility of the fast moving consumer goods market. And feedback closed loop is carried out, so that the prediction accuracy is improved, and the cost of fast moving consumer goods merchants is reduced.

The application relates to a sample generation method, device, computer readable storage medium and computer equipment, the method comprising: obtaining resource transfer data of a target commodity after network media information delivery; the resource transfer data comprises resource transfer time; determining information delivery time of the network media information, and determining target feature data from at least two groups of pre-stored candidate feature data according to the information delivery time and the resource transfer time; generating model training samples according to the target feature data and the resource transfer data. By using the method, the efficiency of model training samples can be improved by obtaining target feature data at a specific time, the model prediction capability is enhanced, and the accuracy of model prediction results can be improved.

Systems and methods are described for optimizing resource utilization in a communications network while also optimizing subscriber engagement with media content over the communications network. Requested content objects can be identified as delayable objects that can be queued for opportunistically delayed communication to both requesting and non-requesting subscribers. Queued delayed content objects are scored with an eye toward optimizing both subscriber engagement and utilization of opportunistically available communications link resources. For example, a storage manager calculates a likelihood that each subscriber will engage with the content if it is opportunistically delivered, and a scheduler calculates a priority order in which to queue each requested delayable content object. Content objects can then be multicast to the subscribers in priority order and with associated information that can be used by the subscribers to determine whether to locally store the content objects as they are opportunistically received.

Described herein are various embodiments of decentralized media distribution systems, devices and methods over a scalable local network. Embodiments relate to scalable media distribution amongst media data components comprising at least one media acquisition unit for acquiring source media data, and at least one media presentation unit for processing source media data. Embodiments may comprise two or more transceiver units comprising: at least two source media signal ports for receiving source media signals and transmitting source media signals from and to one of the media presentation units; a signal converter operable to packetize source media signals for communication over said packetized communications network, and to convert packetized network media signals to source media signals for communicating to the media presentation units; and a packetized network media data transceiver operable to multicast and receive packetized network media signals over a packetized communications network to and from any other transceiver unit.

A method, apparatus, and computer-readable storage medium for validating NBMP documents and entities. One method may include invoking an application programming interface (API) corresponding to an API operation supported by the NBMP entity, the API operation relating to at least one of a create operation, an update operation, a search operation, or a delete operation, receiving a response from the NBMP entity, and determining, based on the response, whether the NBMP entity passes an API test corresponding to the API operation.

Embodiments described herein involve an auxiliary zone contributing audio to a primary zone. In an example implementation, a network media system determines that a first zone in the network media system is playing back a first type of audio content and that a second zone in the network media system is not playing back audio content. While the first zone is playing back the first type of audio content and the second zone is not playing back audio content, the network media system forms a temporarily playback configuration. In the temporary playback configuration, the first zone plays back primary audio content including full frequency range audio content and the second playback device of the second zone plays back auxiliary audio content including low frequency range audio content.

The invention provides video playing equipment and a video playing method, and relates to the technical field of terrestrial digital televisions, and the video playing equipment comprises a DTMB signal obtaining module, a media signal obtaining module and a signal output module which are electrically connected with a main control module; the DTMB signal acquisition module is used for acquiring a DTMB signal, amplifying the DTMB signal and sending the DTMB signal to the main control module; the main control module is used for sending the amplified DTMB signal to the signal output module if the signal intensity of the amplified DTMB signal is greater than a preset intensity threshold value; if not, sending a media signal acquisition request to a media signal acquisition module; the media signal acquisition module is used for sending a media signal to the main control module; the main control module is used for sending a media signal to the signal output module; and the signal output module is used for outputting media information according to the DTMB signal or the media signal. According to the invention, intelligent switching between a traditional DTMB signal and a network media signal is realized.

A system for monitoring and recording and processing an activity includes one or more cameras for automatically recording video of the activity. A remote media system is located at the location of the activity. A network media processor and services is communicatively coupled with the remote media system. The remote media system includes one or more AI enabled cameras. The AI enabled camera is configured to record the activity. The network media processor is configured to receive an activation request of the AI enabled camera and then validate the record request. The system may automatically administer a skill-based competition.

This application relates to a video processing method, apparatus, device, and medium, belonging to the field of network media and involving artificial intelligence technology. The method includes: acquiring a video and extracting audio from the video; locating at least one background audio segment belonging to the background music category and at least one human voice audio segment belonging to the human voice category within the audio; acquiring the video's theme tags and determining a sub-category tag for each background audio segment; locating at least one target audio segment within the audio, each target audio segment including at least one complete background audio segment and at least one complete human voice audio segment, the union of the included background audio segments and human voice audio segments being continuous, and the sub-category tags of the included background audio segments matching the video's theme tags; and extracting at least one video segment from the video according to at least one target audio segment. This method avoids wasting computer hardware resources used to support video segment extraction.