42results about How to "Widely deployed" patented technology

Disclosed is an identification method based on the combination of cell phone cameras and face recognition technique in the field of wireless network technique and pattern recognition. A mobile network is used to transfer easily cognizable information of to-be-identified persons and face image information collected by the cell phone cameras to a server which combines the data meeting the specifications of sex, age and the like in a data bank to a candidate data set according to the easily cognizable information. The sever identifies the face data in the candidate data set by employing principal component analysis and linear discrimination analysis for training, identifies image-transferred face areas and selects the most similar results, the number of which is set by users, from the identification results to transfer back to cell phones for final judgment by the users. The invention realizes the purposes of largely reducing cost and difficulty and increasing speed and accuracy of identification.

The invention discloses a disaster-tolerant backup method based on P2P. The method comprises the following steps that a network of a disaster-tolerant backup system to be configured is divided into aplurality of logic regions; each logic region includes at least one disaster-tolerant backup server and a plurality of nodes; the disaster-tolerant backup server allocates one unique identity for eachnode added to the disaster-tolerant backup system and takes charge of saving a node information list and a disaster-tolerant backup data list; each node mutually executes the data backup according tothe node information list and the disaster-tolerant backup data list saved on the disaster-tolerant backup server; and after the disaster happens, the disaster-tolerant backup server recovers data broken by the disaster from the nodes not suffering the disaster according to the two lists. The invention utilizes a P2P technology and fully utilizes the spare resource of each node in the disaster-tolerant backup system to perform disaster-tolerant backup to recover data and services of other nodes so as to reduce the cost of the disaster-tolerant backup system and also improve the resource utilization ratio of the disaster-tolerant backup system.

The embodiment of the invention relates to the technical field of software, and discloses a virtual machine monitor and a virtual trusted execution environment construction method. The invention provides a virtual machine monitor which starts a client virtual machine based on trusted hardware and starts an application in the client virtual machine. The virtual machine monitor comprises a trusted extension page table management module and an instruction simulation module, the trusted extension page table management module used for establishing a trusted extension page table when the applicationis started, and the instruction simulation module used for establishing mapping for the protected physical memory in the trusted extension page table, loading codes and data of an application into the protected physical memory, and verifying the integrity of the codes and the data; the instruction simulation module completes the construction of the virtual trusted execution environment when the verification is passed. Therefore, a trusted execution environment is realized without using an SGX technology, the difficulty brought to wide deployment of security applications due to the fact that only a few servers support the SGX technology is avoided, and wide deployment of the security applications is realized.

This system includes a virtual ability server unit (VAS), a set-top box (SB), a display and control unit (DC). VAS receives the operation and control info (OCI) from SB, converts OCI into the operation instruction, executes the converted instruction i.e. to calculate and distribute the storage resource, finally packs and puts the executed result into SB. SB is used to STP encapsulate the received OCI and transfers them to VAS unit, and converts the information returned from VAS unit into a image signal and sends it to DC. Here, STP stands for the secure transport protocols. DC show the image signal from SB, sends OCI to SB. This invention can greatly raise the utilization rate of resources and the service features offered by digitalization information technique and can reduce effectively the service cost.

The invention discloses a bidirectional forwarding detection method in an SRv6 network, which comprises the following steps that a host node obtains a Segment List [0..N] in an SRH of a BFD message, adds a source address of the message into a first position of the Segment List [0..N], removes an address field belonging to the node from the Segment List [0..N], carries out reverse operation on the corrected Segment List [0..N] to obtain a Reversed Segment List [0..N], packages the SRH by using the Reversed segment List [0..N], sends a response message of the BFD to the source node, and achieves that a reverse path and a forward path of the dynamic BFD or SBFD are consistent. The method provided by the invention solves the problems of failure of service main and standby protection switching and overlong service packet loss time caused by inconsistency of a dynamic BFD/S-BFD reverse path and a dynamic BFD/S-BFD fault detection, and improves the competitiveness of equipment. The invention also provides a corresponding bidirectional forwarding detection system in the SRv6 network.

The present invention relates to a highly integrated radio frequency transceiver. For small cells, transceivers demand high performance while maintaining system efficiency. The present disclosure describes a highly integrated cellular transceiver that offers such features by providing one or more digital functions on-chip, onto the same die in the cellular transceiver. Effectively, the scope and boundary of the cellular transceiver is expanded to move beyond the data converters of the transceiver to include a variety of digital functions, thus integrating more of the signal chain in the cellular transceiver. Integration can greatly reduce complexity for the baseband processing, lower the cost of the overall transceiver system, reduce power consumption, and at the same time, benefit from improvements on the digital functions through integration.

The embodiments of the present invention disclose a measurement method and apparatus and belong to the communication field. According to the measurement method and apparatus adopted, a small-size measurement system can be utilized to realize an equivalent far-field measurement effect in a short distance, measurement costs can be decreased, and the wide deployment of the measurement system can be benefitted. The method includes the following steps that: the compensation values of all antenna groups except a target antenna group in an antenna array are determined according to the characteristicparameters of the antenna groups and the characteristic parameters of the target antenna group, wherein the compensation values include phase compensation values and amplitude compensation values; electromagnetic waves emitted by each antenna unit of the antenna groups are adjusted according to the compensation values of the antenna groups, so that phases and amplitudes by which the electromagnetic waves emitted by each antenna unit in the antenna array arrive at measurement probes can be identical, wherein the electromagnetic waves are used to measure the air interface beam parameters of a first device, and a distance between the measurement probes of the first device and a second device is smaller than a far field boundary distance.

The invention discloses an optical signal-to-noise ratio monitoring device and an optical signal-to-noise ratio monitoring method. The optical signal-to-noise ratio monitoring device comprises a signal acquisition device for acquiring a Stokes parameter of a to-be-monitored signal, a signal feature extraction device for extracting signal-to-noise ratio and polarization damage in the Stokes parameter, and a support vector regression model obtained by training with an optical signal feature parameter and an optical signal-to-noise ratio value corresponding to the optical signal feature parameter. The optical signal-to-noise ratio monitoring device realizes optical signal-to-noise ratio monitoring through acquiring the Stokes parameter and extracting the signal-to-noise ratio and the polarization damage based on a support vector regression machine, is simple in structure and low-cost, can be widely deployed at each node in a network and can provide information basis for resource allocation and dynamic routing in an optical network.

The invention discloses a brain signal identity recognition method based on a multilayer perceptron, and the method comprises the following steps: S1, collecting EEG samples of all brain regions, carrying out the individual difference analysis of the waveforms of the EEG samples, and extracting Delta waveband signals in the EEG samples; and S2, preprocessing the EEG sample from which the Delta waveband signal is extracted, removing DC offset, and normalizing the sample signal; and S3, inputting the EGG sample into a structure based on a multi-layer perceptron for individual classification. Thebrain signals of different individuals are classified by adopting a multi-layer perceptron method, so that the classification precision and accuracy can be effectively improved.

The invention belongs to the field of communication, and particularly relates to a dual-architecture mode method for implementing an application. The method relates to a winform client, a web server and a databse, and a first service router and a plurality of first service modules are arranged in the winform client; a second service router and a plurality of second service modules are arranged inthe web server; when a client selects to operate with a B/S architecture, the winform client sends a service instruction to the web server and receives a feedback result of the web server; and when the client selects to operate with a C/S architecture, the winform client allocates the service instruction to the corresponding first service module by the first service router and acquires a feedbackresult from the database by the first service module. The method combines the advantages of two architectures, and two architectures are simultaneously used in one program, so that the client can select to execute the B/S architecture or the C/S architecture according to different scene networks and select a corresponding service logic by the service router to implement a service.

The invention discloses an offline key injection system. The offline key injection system comprises a key injection gun and a central key store; the key injection gun comprises an identification code reader, a display module, a keyboard module, a connection transmission module and a network communication module; and public and private keys of central distributors and public keys of managed equipment or modules are stored in the central key store. The invention further discloses an offline key injection method. Due to the method, reliable import of the public keys of the equipment in a non-reliable environment can be ensured. In the whole process, the key gun is only used as a carrier for interacting data with the central key store; the key gun itself does not participate in generation and modification of data contents; therefore, equipment maintenance/replacement place and personal requirements are greatly simplified.

The invention relates to a single-phase multi-channel low-voltage user-side power outage monitoring device. The single-phase multi-channel low-voltage user-side power outage monitoring device comprises a measurement module, a power module and a communication module. The measurement module is used for monitoring a power outage state of a multi-channel single-phase power supply. The communication module is used for reporting power outage information monitored by the measurement module, and the power module provides the power for the measurement module and the communication module. The single-phase multi-channel low-voltage user-side power outage monitoring device can perform monitoring on up to 15 single-phase power supplies at the same time, and can still maintain normal work and discriminate and report the power outage state in the event of power outage.

The invention provides a transaction information receiving system, which comprises a connection module and an information receiving module, wherein the connection module is configured to initiate a connection request to a transaction processing center platform so as to establish dedicated communication connection with the transaction processing center platform; the information receiving module is configured to send a transaction asking request to the transaction processing center platform and receive a message which is a pushed to the receiving system and is associated with the transaction via the transaction processing center platform while the transaction terminal is acquired through the dedicated communication connection. In addition, the invention also provides the transaction processing center platform. The transaction processing center platform comprises the connection module and an information pushing module, wherein the connection module is configured to respond to the connection request from the transaction information receiving system to establish the dedicated communication connection with the transaction information receiving system; and the information pushing module is configured to respond to an asking request from the transaction information receiving system so as to push the message associated with the traction to the transaction information receiving system through the dedicated communication connection while the transaction terminal is acquired

The invention discloses a personnel detection counting method based on deep learning, and the method comprises the steps: 1, carrying out periodic collection of a video monitoring image, and detectingpersonnel based on a FiarMot algorithm; 2, extracting a region of interest of detection personnel and calculating an intersection ratio of the region of interest to a monitoring region; and 3, constructing an adaptive scale LSTM neural network, fusing a full connection layer and wavelet transform features, performing classification by using an SCN classifier, and evaluating and automatically adjusting a network scale according to an entropy loss value of a detection result. The network scale can be automatically adjusted according to the entropy loss value evaluation of the detection result,so that the self-optimization adjustment and reconstruction of the video personnel detection model can be realized, the video personnel detection rate of a specified area in different environments isimproved, and the actual requirements of accuracy and rapidness are met.