1187 results about "Network generation" patented technology

A system, method, and computer program product for dynamically adapting selections in an automatic phone support system is described. The invention may integrate a dynamic knowledge base of responses with the menu selections on an automated phone system or other response system to present the most frequently used items earlier in the option list, or otherwise order options and information. Call data may be captured from single callers or historical ensembles of callers. An automatically generated similarity relationship may be used to initialize the system without historical call data, based on textual similarity or other techniques. Prioritization of options provides a more enjoyable, efficient experience for callers without increasing administrative overhead.

A message generation mechanism for a network interface is provided. The message generation mechanism is operable to generate a message which includes data for signing and authentication procedure instructions. The message is for conveying information to a user device for presentation to a user via a user interface of the user device. The data is arranged in the message in a manner which permits the user device to utilize the data in an automated signing procedure. The automated signing procedure may be a digital signing procedure. The data for signing may be random data, pseudo-random data or secure random data and may be arranged in the message in a manner which avoids presentation to the user.

Location information associated with an access device on a data network may be generated by the network and transmitted in-band on an emergency call to a PSAP to allow the PSAP operator to obtain the location of the caller for emergency services. The location information may be audible or may be generated in a form readable by a machine at the PSAP operator's station. The information may be provided automatically or on-demand. Enabling the data network to generate and transmit the location information enables the data network to provide more up-to-date location information than if the location information were required to be updated into the PSAP's ALI database. Additionally, mobility on the data network may be accommodated to enable the emergency location service to be provided on a wireless network. A database associated with the service may be configured to store the location information, which may then be provided in connection with emergency calls.

A method of generating graphical models for providing security analysis in computer networks that in one embodiment includes the steps of generating a type abstract graph independent of particular networks that models abstract dependency relationships among attributes and exploits; generating network-specific attack graphs by combining the type abstract graph with specific network information; monitoring an intruder alert; and generating a real-time attack graph by correlating the intruder alert with the network-specific attack graph. The real-time attack graph can be generated using reachability checking, bridging, and exploit prediction based on consequence alerts and may further include the step of calculating the likelihood of queries using a Bayesian network model. The method may also include the steps of inferring unobserved attacks that may have been missed by intrusion detection sensors, and projecting on which hosts and using what exploits additional intruder attacks may occur. The method may further include the step of comparing alternate actions by computation, wherein the alternate actions include the step of patching some vulnerabilities, and wherein the specific network information includes network topology. The specific network information may also include firewall rules.

This disclosure is related to using network flow information of a network to determine the trajectory of an attack. In some examples, an adjacency data structure is generated for a network. The adjacency data structure can include a machine of the network that has interacted with another machine of the network. The network can further include one or more deception mechanisms. The deception mechanisms can indicate that an attack is occurring when a machine interacts with one of the deception mechanisms. When the attack is occurring, attack trajectory information can be generated by locating in the adjacency data structure the machine that interacted with the deception mechanism. The attack trajectory information can correlate the information from the interaction with the deception mechanism, the interaction information of the network, and machine information for each machine to determine a possible trajectory of an adversary.

A method and system of generating a user profile for advertisement over a computer network is disclosed. A webpage identifier that identifies a webpage is generated. The webpage identifier can be a universal resource locator. A content category identifier that identifies a content category is generated. The webpage identifier is associated with the content category identifier if web content depicted in the webpage is relevant to the content category. A web server then receives a request for the webpage, the request including the webpage identifier and a first user identifier, the request being received from a client computer connected to the computer network. The webpage request can include a webpage request timestamp. A user profile is located by determining whether the first user identifier matches a second user identifier corresponding to the user profile. The user profile includes at least one user content category identifier and a corresponding user interest score. A predetermined amount is established independently from the web content depicted in the webpage being viewed by the user. The corresponding user interest score is increased by the predetermined amount if the content category identifier matches the at least one user content category identifier.

A highly reliable industrial control system is produced using a network running a standard serial protocol. A safety protocol is embedded within the standard serial protocol by adding to special error detecting data redundant with the protocol of the standard serial network. In addition an overarching protocol involving timing of messages is imposed to provide the necessary level of reliability in the standard serial network. This approach allows the safety protocol to be used with a wide variety of commercially available serial communication standards without modification of the media or the specialized integrated circuits used for that communication. Safety protocol may be implemented in an additional level for integrated circuits or through firmware changes in programmable aspects of the industrial controller components.

Embodiments of a system and method are described for generating and distributing programming to mobile devices over a network. Devices are provided with Players specific to each device and Applications that are device independent. Embodiments include a full-featured WYSIWYG authoring environment, including the ability to bind web components to objects.

A point-of-sale (POS) and mobile device implemented method of providing customer rebates via machine-readable codes, such as Quick Response (QR) codes. Specifically, a customer completes a transaction at a POS. The POS or remote servers determine if the transaction qualifies for a promotional credit or rebate. If the transaction qualifies for the promotional credit, then the POS generates the QR code, wherein the QR code includes the credit. Further, the customer captures the QR code with a mobile device or scanner and transmits the code to the POS or remote servers for authentication. Upon successful authentication, the POS or remote servers transfer the credit to the customer.

The invention provides a medical image synthesis method based on double generative adversarial networks. The method comprises the main content of performing data management, generating the generativeadversarial networks, training a U-NET, establishing assessment indexes and obtaining processed pictures, wherein first, a DRIVE database is used to manage a first-stage GAN, then the first-stage GANgenerates a partitioning mask representing variable geometry of a dataset, a second-stage GAN converts the mask produced at the first stage into an image with a sense of reality, an generator minimizes a loss function of the true data in classification through a descriminator, then the U-NET is trained to assess the reliability of synthetic data, and finally the assessment indexes are establishedto measure a generated model. According to the method, by use of a pair of generative adversarial networks to create a new image generation path, the problem that the synthetic image contains a fake shadow and noise is solved, the stability and the sense of reality of the image are improved, and meanwhile image details are clearer.

A system is described for optimizing the performance of smart advertisements generated over a network for display to a user. The smart advertisements may adapt to specific user profile information and available advertising campaign information. The system may consume log data relating to previously displayed smart advertisements and compare the performance rates of the smart advertisements to determine relationships between controllable variables and the performance rates. The system may manipulate the controllable variables based on the relationships to optimize the performance of smart advertisements.

The invention discloses a city-level intelligent traffic simulation system. With multi-source heterogeneous data as input, the vehicle queue length of each lane at an intersection can be predicted, the evolution of the vehicle queue length is further dynamically simulated, and the simulation system comprises a data collection module, a multidimensional database, an algorithm module, a traffic state prediction module, a traffic simulation derivation module and an interaction visualization module. In the data collection module, the collected data comprise traffic dynamic data and static data. The multidimensional database is used for receiving various traffic dynamic information in real time and storing road infrastructure configuration information. In the algorithm module, a generated confrontation network is used for data generation and state prediction on the vehicle queue length, and the processing process comprises data feature extraction, data dimension processing, confrontation network generation, and hyperparameter optimization. The vehicle queue length of each lane at the intersection can be predicted, and the evolution of the vehicle queue length is further dynamically simulated.

The invention belongs to the technical field of computers, and discloses a machine translation method and system based on a generative adversarial neural network. The method comprises the following steps that: on the basis of an original machine translation generation network, a discrimination network which generates network countermeasure with the original machine translation generation network is imported; a translation used for judging a target language is from a training parallel corpus and is a network machine translation result of the original machine translation generation network; and the discrimination network adopts a multi-layer sensor feedforward neural network model to realize binary classification. The system comprises the discrimination network, a generation network, a mono-lingual corpus and a parallel corpus. While manually annotated bilingual parallel corpus resources are fully utilized, and mono-lingual corpus resources also can be fully utilized to carry out semi-supervised learning; and the mono-lingual corpus resources are very rich and can be easily obtained, and the problem that required training corpora required by the neural network machine translation model are not sufficient is solved.

The current invention provides apparatus for relieving congestion associated with interfacing voice-band data, and broad-band data, with a network such as the public switched telephone network (PSTN).A hierarchical system for converting digital transmissions on a network between a first protocol and a second protocol is disclosed. The transmissions are generated by data terminals communicating in a third protocol with the network. The hierarchical system includes: interface units, a local processor, a first remote processor and a first controller. The interface units are each coupled to corresponding ones of the data terminals and each signal a call session with the corresponding data terminal. The interface units convert the transmissions from the data terminal in the third protocol to the second protocol. The local processor is switchably coupled to the interface unit and communicates with the network. The local processor converts digital transmissions from the second protocol to the first protocol. The first remote processor is coupled to each of the interface units and communicates with the network. The first remote processor converts digital transmissions from the second protocol to the first protocol. The first controller detects the signaling from the interface units corresponding to the call session and allocates to an available one of the local processor and the first remote processor a conversion of digital transmissions associated with the call session from the second protocol to the first protocol.In an alternate embodiment of the invention, a hierarchical system includes remote control and processing capability.

The invention discloses a method and a device for a cloud computing platform system to distribute resources to a task. The method comprises the steps that a task from a task request queue is obtained; the task is analyzed, and the basic resource requiring information of the task is obtained; resource distribution information is generated by a resource distribution strategy according to the basic resource requiring information; the resource distribution strategy is a trained back propagation (BP) neural network; the training is as follows: a historically executed state information is input into a target BP neural network; if the difference between the generated resource distribution information and historical resource distribution information exceeds a preset training error threshold, the target BP neural network is revised, so that the difference between resource distribution information which is output after the training and the historical resource distribution information does not exceed the training error threshold; the resources are distributed to the task according to the resource distribution information. According to the method and the device for the cloud computing platform system to distribute the resources to the task, the system distributes the resources according to the resource distribution information generated by the BP neural network, so that the resource utilization rate of the system is improved, and the number of concurrent tasks and the throughput of the tasks are increased.