114 results about "Network composition" patented technology

Systems and methods for managing a network are described. A view of current state of the network is maintained where the current state of the network characterizes network topology and network constituents, including network entities and network elements residing in or on the network. Events are announced that correspond to changes in the state of the network and one or more network elements can be configured accordingly. Methods for managing network traffic are described that ensure forwarding and other actions taken by network elements implement globally declared network policy and refer to high-level names, independently of network topology and the location of network constituents. Methods for discovering network constituents are described, whereby are automatically configured. Routing may be performed using ACL and packets can be intercepted to permit host to continue in sleep mode. The methods are applicable to virtual environments.

Using peer-to-peer device descriptors for determining product compatibility involves obtaining, via a home network, descriptors that describe a composition of the home network. The home network composition descriptors are compared to descriptors of products available from an e-commerce service provider that is external to the home network. The comparison determines compatibility of the products with the devices of the home network. Identity of compatible products selected from the products based on the comparison is communicated to a user.

A silicone composition containing a polyethersiloxane block copolymer network and a fluid within the network is useful as a component of various personal care compositions.

A neural prosthesis comprised of a network of component devices that sense, analyze, and communicate data to deliver a therapeutic effect to a patient. The network of component devices establish systems and methods for sensing physiological parameters in, on or around a human body and achieving a therapeutic effect based thereon. A network of various levels of component devices sense, process and communicate data between corresponding component devices, and self-organize into a hierarchy of peer groups of component devices to perform the task or function of the therapeutic effect upon completion of the tasks or functions of the various underlying levels of component devices. An overall Peer Group encompasses the various underlying levels of peer groups having the component devices therein. The sensing, computational, data distribution, communication or therapeutic effect tasks at the various levels are accomplished by the coordination of communication and functions between the plurality of relatively simple component devices of the network. Symmetric and asymmetric cryptography and other communication protocols are used to co-ordinate the tasks and functions of the component devices of the network. Therapeutic tasks such as drug delivery, executable actions, and stimuli delivery or suppression are thus efficiently distributed to a patient via the network. Component peer devices of the network can be implants, wearable devices with respect to a patient, or may be devices that are in the environment within which the patient is located.

The invention discloses a font style migration method based on a conditional cycle consistency generative adversarial network, and the method specifically comprises the steps: building a source font data set and a target font data set, and carrying out the normalization processing along with the data sets; building a font style migration network structure, wherein a network is composed of a generator based on a conditional generative adversarial network and a residual network and a discrimination network based on PatchGAN; inputting source fonts and label pictures into the generator, and generating target style fonts; enabling the discriminator network to perform authenticity discrimination on the generated target font and the real target font corresponding to the generated target font, optimizing the Chinese character migration network by means of the idea of adversarial network training to achieve mutual mapping migration of two font styles, reduce manual interference in the font generation process, and improve the automation degree of font generation.

An on-line energy forecast system based on a product ARIMA module and a method thereof belong to the field of steel industry energy forecast technology. The system comprises a local PLC, a PCS layer consisting of DCSs, a MES layer, an ERP management layer and a network system. The network system comprises an SCADA system arranged on a spot, a real time database server, a database server, an application server, a client workstation, an anti-virus database and a network which is connected with a computer, a controller and a sensor. The invention has the advantages that an applicable module grade is configured by a prediction algorithm parameter configuration module, which can realize that real time on-line forecast can be carried out on multiple data types comprising steady, non-stationary, seasonal fluctuation data.

Convergent network architecture and path information. Within a convergent network composed of different respective networks, each respective network may be controlled or managed internally and independently with respect to the other networks. For example, each respective network includes a forwarding and link metrics database and is managed by its own respective control entity (e.g., which may be any one of the given devices were nodes within that network). Generally speaking, each respective network may be modeled as an Ethernet bridge such that each respective bridge natively maintains its own forwarding and link metrics database. Such link metrics are specific to a given network and may cover one or both of prioritized Quality of Service (QoS) and parameterized QoS. Relays between neighboring bridges may effectively propagate and/or forward their respective databases, and update of any given database may be made asynchronously or based on a neighboring bridge query.

The invention discloses a reconfigurable network on a mating plate and a configuration method and is intended to solve the problem that it fails to flexibly configure a network in the prior art. The invention is characterized in that a micro ring resonator optical switch is introduced in the connection of an IP nucleus and an adjacent light router; the state of the micro ring resonator optical switch is controlled for different applications; the light router connected to the IP nucleus is flexibly selected such that a network reconstruction can be realized. The configuration steps are: (1) determining the optimal dimension of the network needed; (2) determining an initial set based on the communication relations and traffic loads among the IP nucleuses; (3) adding the IP nucleuses which are not included in the initial set into the initial set based on certain rules or forming a new set; (4) carrying out a layout based on the communication relations in a set or among different sets according to a certain sequence. According to the invention, the restriction of a definite network composition is broken, the reconstruction of the network composition is realized based on specific characteristics of the applications through changing the topology connection relation, the design flexibility is guaranteed and the network performance is optimized.

A technology is disclosed for achieving fast and reliable handover. According to this technology, in the network composition where a network coverage area of the cellular base station 105 and network coverage areas of plural WLAN AP (Wireless LAN access point) 110, 115, 120 and 130 overlaps, the roaming mobile node (mobile terminal) 100 stores the listened beacon information from each WLAN AP. The mobile node can promptly perform the handover procedures without waiting for listening to the next beacon by acquiring the beacon information of WLAN AP which is a handover target from the stored information at the instant of determining to do handover to a new WLAN AP. Furthermore, the mobile node can store information on stability of the network connection if it would be connected to each WLAN AP, and determine which WLAN AP is suitable for a handover target by considering the stability.

This invention relates to a network structure and a transmission method suitable for digit media issue service including a media issuing network, an issuing center and several receiving terminals, among which, the media issuing network is composed of a core network and an assist network overlapped on geographical positions, the core network uses broadcast and multicast transmission method to provide end-to-end single-way data transmission rom the issuing center to the receive terminals, the assist network provides two-way data communication of end-to-end from the center to the receive terminals, among which, the core network applies a tree-like topology and uses the broadcast of step-by-step or multicast technology to support real-time video/audio flow transmission and data transmission from the center to multiple receive ends.

The invention provides a wireless network ad hoc system which comprises a host computer system, a coordinator, a router, a terminal and a user interface. The host computer system is used for distributing available wireless channels, adjusting wireless channels, and displaying the composition and the running state of a network in real time. The coordinator communicates with the host computer system, is the management device of wireless module communication, and is used for controlling networking and transmitting a network composition diagram and the state information of a network node to the host computer system. The router transmits, receives and forwards wireless network data, and transmits and receives user interface data. The terminal is used for transmitting and receiving the wireless network data and the user interface data. The user interface is an interface between the router and the terminal. The invention further provides a wireless network ad hoc method. The method and the system, which are provided by, the invention, have the advantages of flexible user configuration, high versatility and low cost.

The present invention relates to one kind of distributive network information processing system and method for the network systems with different platforms, different data bases and different data formats. The distributive network information processing system consists of application system, identical-network isomeric connector and communication network for connection. The data bases of the application systems are interconnected via identical-network isomeric connectors, so that one application system may access the data in one other application system data base for information processing and specific service. The present invention makes it possible for great amount of isomeric systems to complete real-time cooperation while ensuring the data integrality and time efficiency. The present invention may be used in telecom service system, e-business system, traffic information system, household register managing system, etc.

The invention provides a semi-supervised evaluation method and evaluation system based on dual consistency self-ensemble learning. The semi-supervised evaluation system based on dual consistency self-ensemble learning comprises a dual consistency average teacher framework module, an attention loss function module and an attention consistency loss function module. The invention designs a self-integration learning framework. The framework is composed of a student network and a teacher network which have the same structure. A new loss function based on an attention mechanism is designed to obtain an accurate attention area result; by performing dual consistency constraint on attention in lesion classification and positioning, the two networks can gradually optimize attention distribution and improve the performance of each other, training only depends on part of marked data and follows a semi-supervised training mode, a large amount of marked data is not needed, and the cost is low.

The present invention relates to WiMAX accessing service network technique, especially relating to WiMAX accessing service network gateway mutually positional method. It contains Said ASN-GW generating domain name, transmitting said domain name domain name Server domain name server; said domain name server feeding back corresponded gateway IP address to said ASN-GW; ASN-GW according to said gateway IP address positioning target gateway, transmitting said switch request or conversation request. The present invention adopts domain name resolving mode to solve WiMAX accessing service network gateway mutually positional problem; when network composing generating variation, only needing modifying domain name configuration in DNS server without modifying each network solid configuration.

The invention relates to a mechanical assembly image segmentation method based on a deep learning network. The method comprises the following steps: constructing a mechanical assembly lightweight semantic segmentation model composed of an encoder network and a decoder network through the deep learning network; establishing a mechanical assembly data set; inputting a depth image in the mechanical assembly data set into an encoder network for feature extraction to obtain a feature map with high information quality; inputting the feature map with high information quality into a decoder network, recovering the size of the image and carrying out feature fusion to obtain a multi-dimensional segmentation map; updating parameters in the encoder network according to an error between the multi-dimensional segmentation image and the corresponding label image; iteratively executing the above steps by using the depth images in the training set until a preset number of training times is reached; outputting a lightweight semantic segmentation model of the mechanical assembly after testing; and carrying out image segmentation by utilizing the trained lightweight semantic segmentation model of themechanical assembly body to segment each part of the mechanical assembly body.

The invention discloses a model training method, a model comprises a first twin network composed of a first encoder and a second encoder, and the method comprises the steps: obtaining a first high-dimensional vector outputted by the first encoder after processing first data, and a second high-dimensional vector outputted by the second encoder after processing second data; training the first twin network through a first loss function until the first loss function reaches a minimum value, and converging the training of the first twin network; obtaining a first parameter set corresponding to thefirst encoder and a second parameter set corresponding to the second encoder when the first twin network training converges; forming a second twin network by the first encoder and the first recovery network under the first parameter set, and forming a third twin network by the second encoder and the second recovery network under the second parameter set; and respectively training the second twin network and the third twin network to converge through the second loss function to obtain a network model system for executing the dual task. Model construction and training cost is saved, and model training is improved.

A Chinese font style migration method is characterized in that unsupervised style migration learning is carried out on handwritten Chinese characters, and two auxiliary networks are creatively added to a generator composed of cyclic generative adversarial networks on the basis of an original adversarial generative network. The method comprises the following steps: simultaneously extracting font structure features of an original image and a generator generation image through a Chinese character classification identification residual network, and taking matrix information of a specific layer as an auxiliary loss function to control the font structure consistency of the two images; and using the style encoder for extracting style characteristics of the graph generated by the generator and feeding back the style characteristics to the generator so as to control the style consistency of the two.

The invention discloses a method for solving a video question and answer problem by utilizing a graph theory-based multi-interaction network mechanism. The method comprises the following steps: 1) obtaining a frame-level video expression by utilizing a ResNet network for a video; 2) utilizing a MaskR-CNN network to obtain existence and position characteristics of the object; 3) extracting problemword-level information by using a GloVe network; 4) using a GNN network composition based on a graph theory, introducing a message mechanism to iterate the graph, and finally obtaining object existence and inter-object connection feature expression; 5) introducing multiple interactions, and learning by using a feedforward neural network to obtain feature expressions of object existence and inter-object dynamic relationship related to the problem and video frame-level and fragment-level expressions; and 6) using different strategies for different types of question and answer modules. Accordingto the method, the space-time dependence relation and the dynamic semantic interaction information between the objects are obtained through the mechanism, the deeper effect is achieved in video understanding, and then more accurate answers are given.