117 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.

A system and method providing an environment for the composition, generation, integration and execution of business processes and / or transactions over a distributed computing-based network. In a preferred embodiment, a business process expert develops a business model by using a network browser to access the composition environment via the network. The preferred embodiment includes a Composer and a Player. The Composer allows a business process engineer to model the processes, process rules and data structures of an entity upon the basis of a plurality of software resources. The Player executes the modeled processes and access relevant data in real-time, according to rules and resources as related within a software structure generated by the business process engineer. The preferred embodiment dynamically constructs web pages based on the process, rule and data definitions prepared by a business process engineer / expert and does so through a Process Interpreter and Grammar Engine so as to encapsulate all the software resources necessary to complete the desired business process without the need of people programming, scripting or coding. Pages are constructed only when required, ensuring that the solutions are flexible, error free and based upon the most current business practices, providing agile, integrated, error free and real-time software solutions capabilities.

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 present inventive device provides a new method of interactive, competitive, rapid-fire, on-line auction using an auctioneer. To this end, the present invention generally is comprised of a computer network; the internet; an auction; an auctioneer; real-time, live-stream streaming processes and devices; video, visual, audio, text, biometric and electronic data; an auction input device; and an auction output device.

This invention generally relates to one or more computer networks having computers like personal computers or network servers with microprocessors linked by broadband 5 transmission means and having hardware, software, firmware, and other means such that at least one parallel processing operation occurs that involve at least two computers in the network. More particularly, this invention relates to one or more large networks composed of smaller networks and large numbers of computers connected, like the Internet, wherein more than one separate parallel processing operation involving more than one different set of computers occurs simultaneously and wherein ongoing processing linkages can be established between virtually any microprocessors of separate computers connected to the network. Still more particularly, this invention relates to business arrangements enabling the shared used of network microprocessors for parallel and other processing, wherein personal computer owners provide microprocessor processing power to a network, preferably for parallel processing, in exchange for network linkage to other personal and other computers supplied by network providers, including linkage to other microprocessors for parallel or other processing; the basis of the exchange between owners and providers being whatever terms to which the parties agree, subject to governing laws, regulations, or rules, including payment from either party to the other based on periodic measurement of net use or provision of processing power.

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.

Systems and methods for, among other things, a utilization based load balancing system which controls the distribution of queries to an information retrieval system made up of a network of server clusters. In one embodiment, a server cluster allocates computational resources among computational tasks. These computational tasks are replicated across a given server cluster, typically such that those computational tasks requested more frequently have more replicas, and more resources allocated to them to fulfill the requests. The system applies a utilization metric to determine how much capacity a given task has available and uses this determination to determine the capacity available for the cluster as a whole. Load balancing is achieved by re-directing queries to another cluster in response to the utilization value for a given cluster reaching a threshold.

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.

An apparatus, and an associated method, for facilitating home, or other public network access by a wireless device. The access is made in order to access public-network services by the wireless device when connecting to the public network by way of another network. Access availability by way of 802.1x-capable wireless local area networks, if any, is determined. A listing is made of networks through which connections are able to be made. And, if operator policy permits, a public-network access attempter attempts to make communication connections by way of non-802.1x-capable wireless local area networks, if any. Identification is made of network access availability, and such identified network access is displayed to provide a user of the wireless device with an opportunity to select in what manner to connect to the public network.

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 invention relates to an aerogel composite material with a multi-scale and multi-network composite structure and a preparation method of the aerogel composite material, belonging to the technical field of inorganic composite materials. The aerogel composite material is formed by composition of an inorganic oxide gel network, a nano-cellulose gel network and a long glass fiber network, wherein the inorganic oxide gel network and the nano-cellulose gel network form an interpenetrating network structure at nano-scale, and the interpenetrating network structure and the long glass fiber network form the aerogel composite material after forming a composite structure at macro-scale. As the aerogel composite material provided by the invention is formed by multi-scale and multi-network composition, the mechanical properties of the aerogel material can be significantly improved, and the bulk aerogel composite material with low heat conductivity, low density and high specific surface area is obtained; and in addition, the preparation cost can be reduced by adopting a freeze-drying method which is relatively cheap and safe instead of a traditional supercritical drying method.

The invention provides a cooperation-based resource allocation method in a heterogeneous fusion network, which mainly solves the problem that resources of a traditional heterogeneous network cannot be fully utilized. The cooperation-based resource allocation method in the heterogeneous fusion network comprises the following implementation steps of: 1-, in the heterogeneous fusion network which consists of a network A and a network B, if the network A has resources directly accessed to a core network, applying resources from the network A by the network B and accessing the resources applied from the network A to the core network; 2-, sending a communication request to an access point a of the network A by an access point b of the network B and an authorized user of the network A to apply the resources; 3-, allocating the resources for the access point b of the network B by the access point a of the network A and transmitting the resources, and when the access point a of the network A cannot meet the requirement of the authorized user of the network A, enabling the authorized user of the network A to seek the cooperative transmission of the network B; and 4-, sending own data to the access point b of the network B by the authorized user of the network A of seeking cooperation, and after the data of a user of the network B and the data of the authorized user of the network A are fused by the access point b, applying the resources from the access point a of the network A to complete transmission. The cooperation-based resource allocation method in the heterogeneous fusion network can be used for optimizing the throughput of the heterogeneous fusion network.

The invention discloses a networking method for wireless mesh network nodes. The method comprises the steps: enabling each node in a wireless mesh network to receive a private protocol message broadcasted by each node in the mesh network, wherein the message at least carries address information of the node and function parameter information; acquiring the function parameter information of each node according to the private protocol message, and selecting the node with the highest level according to a selection strategy; determining the level information of the node relative to the highest level node according to the private protocol message forwarding path jump information, and broadcasting the level information of the node to each node in the wireless mesh network; and determining a mainnode according to the received information of each node level. According to the invention, the modes of the master node and the slave node are formed in the network, and the master node is arranged inthe network, so that the management of the mesh network is facilitated, the natural defects of the mesh network are overcome, and the mesh network is prevented from forming an invalid network.

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 provides a sewage treatment effluent parameter prediction method based on a grey neural network composition model, the method comprises the steps: a historical influent parameter sequence x (t) is acquired and is accumulated to form an accumulation sequence y(t); according to the accumulation sequence y(t), a grey neural network is established and is utilized to predict historical effluent parameters, and in the prediction process, an improved particle swarm optimization is adopted to optimize the grey neural network; according to the optimized neural network, present effluent parameter prediction is performed; a Markov chain is adopted to correct obtained present effluent parameters.

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.

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.

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.

The invention relates to a model training method based on reversible separation convolution. The model comprises a network for processing audios and a network for processing texts; the network for processing the audio and the network for processing the text respectively comprise a reversible separation convolution layer; the method comprises the following steps: acquiring voice data of a specifieddata pair in a network computing training set for processing the audio, obtaining a first high-dimensional vector, obtaining text data of a network calculation specified data pair for processing a text, and obtaining a second high-dimensional vector, wherein the training set is composed of a data pair formed by voice data and text data, and the specified data pair is any data pair in the trainingset; training an audio processing network and a text processing network on the training set through a loss function, wherein the loss function is a spatial distance between the first high-dimensionalvector and the second high-dimensional vector; judging whether the loss function reaches a minimum value or not; and if so, judging that the training converges to obtain a twin network structure composed of the network for processing the audio and the network for processing the text. The model construction and training cost is saved.