586 results about "Computing center" patented technology

A trusted virtualization platform protects sensitive customer data during operation of virtual machines in a multi-tenant cloud computing center. The trusted virtualization platform limits administrator access to the data and state of the virtual machines running thereon, reports any changes made thereto, and requires keys provided by the customer or a trusted third party of the customer to perform management operations on the virtual machines. By requiring cloud computing centers to use such trusted virtualization platforms, customers uploading their virtual machines into the cloud computing center can be assured that cloud administrators will not be able to access or tamper with their private data. Furthermore, customers can directly audit all important state or configuration changes for their virtual machines as the trusted virtualization platform can be configured to report all such changes according to a security policy set by the customer.

The present invention relates to the field of security technology, and in particular to a fine granularity real-time supervision system based on edge computing. A fine granularity real-time supervision system based on edge computing is provided, comprising: an intelligent video monitoring device, an edge computing module, an edge computing node, and a cloud computing center. The system can reduce the redundant information of the system and realizes fine granularity management.

An interactive game system for individual participants at remote locations to compete with one another over a distributed electronic network in response to a game show host administering a program broadcast via mass media. Participants are authenticated in order to participate in the game. A computational center evaluates the correctness and speed of responses made by participants, administers a scheme for rating the performance of each participant in real time, and reports back the results of this performance evaluation. In the preferred embodiment, the game is divided into a discrete plurality of rounds. Successful participants in each round advance to subsequent rounds until a champion is determined. The game then begins anew.

The invention provides a vehicle remote unattended loss assessment system based on a CAE technology and a loss assessment method thereof. The vehicle remote unattended loss assessment system comprises a data acquisition module, a cloud platform computing center module, a CAE loss assessment database and an output module. The cloud platform computing center module is respectively connected with the data acquisition module, the CAE loss assessment database and the output module. Problems of the vehicle loss assessment industry that loss assessment is not timely, definition is low, cooperation is poor and transparency is low are solved by the vehicle remote unattended loss assessment system based on the CAE technology.

The invention relates to the field of mobile edge calculation and particularly relates to a user terminal task unloading method of an edge computing service system. The method comprises the followingsteps that: a local edge node receives a task unloading request of a local terminal, acquires computing resource use information of the local edge node, and adopts a local resource priority strategy based on a resource threshold according to a resource condition required by the task and a resource use condition of the currently available edge node; the local edge node requests confirmation from the selected edge node or a computing node and executes the task; and the edge node or the computing node bearing the task returns a task execution result to the terminal, and sends a task execution record to the cloud computing center. According to the method, the local edge nodes decide to unload task allocation, and the rationality and balance of resource use among the edge computing nodes are optimized under the condition that the user experience quality and the service quality are guaranteed.

The invention discloses an Internet forum-oriented opinion leader mining method. An opinion leader mining system is involved in the method and comprises a computing center and a database server which communicates with the computing center. The method comprises the following steps of: capturing forum data by using a crawler, and improving data processing real-time property by using message-oriented middleware (MOM); extracting web page information, performing word segmentation by using a Chinese word segmentation system, and filtering spam comments by a spectral clustering method; analyzing text tendency by using an emotional corpus; setting a selection standard value of an opinion leader, and determining the opinion leader; and visualizing a result. By the method, the opinion leader in a forum can be accurately mined, and technical support is provided for related Internet public opinion supervision departments to timely find hot issues and guide the healthy development of Internet public opinions.

The invention provides a parking position-based vehicle communication method and system. The system comprises a service center (2). According to the vehicle communication method and system, an intelligent terminal (3) is adopted as a computing center; services such as door opening, door locking and remote car finding can be provided for the owner of a car through a positioning and control device (1) on the car; when the owner of the car is far away from the car, the car is locked automatically or the system prompts the owner of the car to lock the car; when a distance between the owner of the car and the car is smaller than a car finding distance, a horn of the car is sounded automatically, and the lights of the car flash automatically; since the service center (2) is adopted, the parameters of the system can be changed independently according to the needs of a user, and therefore, a variety of services such as door opening, door locking and remote car finding can be provided.

The invention is applicable to storage systems like supercomputing centers or cloud computing centers which need to meet the requirements of applying variety, elastic distribution, horizontal expansion and so on under the environment of cloud storage, and provides a distributed file system supporting mixed cloud storage application and a realization method. The system comprises a plurality of cloud storage systems of various types, standard access interfaces for providing various cloud storage systems, a client module for forwarding requests from application programming interfaces and realizing establishment and maintenance of rear-end cloud storage systems, a distributed uniformity cache module for caching cloud storage system information of various types, and a cloud storage system agent module for establishing and managing the cloud storage systems of various types through commands of packaging the cloud storage systems or tools. The client module and the cloud storage systems of various types are respectively connected with the cloud storage system agent module.

The invention discloses an on-vehicle electronic warning system for road safety, comprising a wireless broadband special network established at the side of the road. The wireless broadband is composed of a road-side wireless signal transmitting tower, road-side optical cables and a database computing center and is used for receiving operational data of each vehicle on the road while uninterruptedly sending road feature data to each vehicle. An on-vehicle road safety electronic shield terminal arranged in the vehicle uninterruptedly transmits vehicle locations, time and speed data computed by a satellite and land station signals to the database computing center of the road-side wireless special network subsequent to the reception of a positioning signal from a global positioning system so that all the vehicles share the positioning data, meanwhile, the terminal uninterruptedly receives and reads the road feature data sent by the wireless broadband special network during the traveling, and sends, in case that the distance between vehicles are too close or the vehicle is about to deviate from own traffic lane, warning information to related drives in order to avoid traffic accidents such as vehicle rear-end collision, deviation from the roads, side collision, etc.

Techniques for provision of on-demand utility services utilizing a yield management framework are disclosed. For example, in one illustrative aspect of the invention, a system for managing one or more computing resources associated with a computing center comprises: (i) a resource management subsystem for managing the one or more computing resources associated with the computing center, wherein the computing center is able to provide one or more computing services in response to one or more customer demands; and (ii) a yield management subsystem coupled to the resource management subsystem, wherein the yield management subsystem optimizes provision of the one or more computing services in accordance with the resource management subsystem and the one or more computing resources.

The invention relates to a data analysis method and a data analysis system for e-commerce. The method comprises the following steps of: acquiring data to be analyzed and processed, and sampling the data to be analyzed and processed; storing the sampled data to be analyzed and processed into a database; selecting a corresponding preset mathematical model for the data to be analyzed and processed according to the user strategy; calculating, analyzing and processing the data to be analyzed and processed according to the corresponding preset mathematical model to obtain a calculated, analyzed and processed result; and performing commercial intelligent display on the calculated, analyzed and processed result. The embedded calculation, analysis and processing are performed on the data to be analyzed and processed by using a modern data-mining mature algorithm, a calculating center is solidified into a high-speed calculating special chip by adopting the embedded technology, and full base statistics of the database is not needed, so the calculation resource cost is reduced and the period from data analysis to data application is greatly shortened at the same time.

A control system for controlling an electric power steering system is provided. The control system includes a first module configured to compute an on-center torque adjustment compensation based on a sensed handwheel torque. The on-center torque adjustment compensation is configured to compensate for inertia of a steering actuator motor using a frequency-based methodology. The control system also includes a second module configured to generate a command signal to control the steering actuator motor of the electric power steering system based on the on-center torque adjustment compensation.

The invention relates to a cloud refrigerator system based on the cloud of things and a service method. The cloud refrigerator system comprises a cloud computing center, a cloud refrigerator and a user terminal, wherein the cloud computing center is provided with a plurality of cloud service application modules, a network protocol stack is embedded in an intelligent controller of the cloud refrigerator, and the cloud refrigerator and the user terminal are respectively in communicative connection with the cloud computing center through a communication network. The user and cloud refrigerator core application can be functionally supported by means of the powerful data processing technique of a cloud computing center platform. The cloud service application modules is in an open structure, the authorized user can customize different application functions of the refrigerator at any time, and accordingly cloud service functions of personalized customization, automatic software upgrading, automatic fault alarming and the like of the refrigerator can be realized, and application limits of existing normal refrigerators in the network of things can be broken through.

The invention relates to the field of satellite navigation, and discloses a broadcast type VRS positioning method and system. Correction number interpolation is performed on the handbook end of a user so that the computing burden of a server can be greatly reduced and the problem that the concurrent user volume is limited by the computing burden can be solved; the user end and a computing center adopt a one-way communication mechanism so that the position security of the user end can be enhanced; the whole CORS is subdivided through the mode of grid division, and the correction number interpolation coefficient of each sub-grid is generated according to a grid solving unit so that the regional difference of the atmospheric condition of wide range of the CORS grid can be reflected, the accuracy and the reliability can be guaranteed and the broadcast volume of the data can also be reduced; and use of high dynamic users is supported.

The invention provides a time delay optimization method and device based on cloud edge multilayer cooperation in an edge computing network, electronic equipment and a readable storage medium. The timedelay optimization method comprises the steps of: receiving registration information sent by a plurality of edge servers through a cloud computing center; establishing the edge computing network according to the registration information sent by the plurality of edge servers and resource information of the cloud computing center; acquiring a task unloading proportion and a resource allocation strategy for each equipment in the edge computing network; and sending the task unloading proportion and the resource allocation strategy to the corresponding equipment according to the edge computing network, so that the corresponding equipment processes the original data according to the task unloading proportion and the resource allocation strategy. By comprehensively considering the computing resources and the transmission resources of the edge servers, the edge equipment and the cloud computing center and adopting a cloud edge cooperation mode, a better task unloading proportion and a betterresource allocation strategy can be obtained, so that the delay of data processing and data transmission of the whole system is reduced.

Various computing center control and cooling apparatus and methods are disclosed. In one aspect, a method of controlling plural processors of a computing system is provided. The method includes monitoring activity levels of the plural processors over a time interval to determine plural activity level scores. The plural activity level scores are compared with predetermined processor activity level scores corresponding to preselected processor operating modes to determine a recommended operating mode for each of the plural processors. Each of the plural processors is instructed to operate in one of the recommended operating modes.

A system and method for managing electronic forms data, and financial advise applications is provided. Financial advisors may be equipped with portable computing devices, such as a laptop or tablet PC to provide customers in-field support through the use of financial advise applications, customer data and electronic forms. Further, the invention provides a means for applications, data and forms to be synchronized with the various computing systems of a financial services company's computing center. Such synchronization enables in-field financial advisors to work remotely yet have most of the tools and functionality provided for by the systems of the computing center.

The invention provides a load forecasting method for a cloud computing center host, belongs to the cloud computing field and solves the problem that as virtual machines of different users work on a host of a cloud computing center and the host load is subject to more complicated changes, the host load has to be accurately forecasted to further dispatch the virtual machines so as to achieve the purposes of load balancing and energy consumption reduction. The core of the algorithm lies in that the phase-space reconstruction method in the chaos theory and the data grouping treatment algorithm based on genetic algorithm are combined together. Compared with the present existing method, by adopting the method provided by the invention, a smaller relative error can be obtained. Besides, under the condition that the forecasting time is prolonged, compared with the traditional method, the accumulated error of the forecasting is reduced.

Disclosed are a lane departure early warning method and system. The lane departure early warning method comprises the following steps: a vision collector obtaining lane mark line information of a road image, a vehicle body information sensor collecting vehicle body information, providing the lane mark line information and the vehicle body information to an FPGA logic center, and the FPGA logic center determining information of the location of a vehicle in the lane and the direction through conversions; the FPGA logic center providing the information of the location of the vehicle in the lane and the direction to a DSP computing center, and the DSP computing center determining whether an alarm is triggered or not under the current state according to set the early warning conditions; an alarm module receiving the warning information issued by the DSP computing center and performing vehicle body control according to the warning information; and arranging a head-up display HUD on glass in front of the head of a driver, wherein the display at least displays vehicle row parameters, as well as the information of the location of the vehicle in the lane and the direction. The lane departure early warning method and system can assist in the conditions of inattention and the like due to over-fatigue or long-term monotonous driving.

The invention discloses an intelligent maintenance-free power grid monitoring method and system based on cloud edge collaborative deep learning, and the method comprises the steps that sensing equipment collects a monitoring image, and gives an alarm according to alarm information; the edge computing node identifies the monitoring image based on the monitoring image and a power grid anomaly detection model issued by the cloud computing center, and sends alarm information to the sensing device when determining that there is a power grid anomaly; the identified monitoring image is transmitted tothe cloud computing center; the cloud computing center trains a deep learning model according to the stored training set images to generate a power grid anomaly detection model, trains and updates the power grid anomaly detection model according to the identified monitoring images, and issues the power grid anomaly detection model to the edge computing nodes. The invention further discloses a corresponding power grid monitoring system. By adopting the method and the system disclosed by the invention, the operation burden of the cloud computing center can be reduced.

The invention discloses a target locating and tracking method and a target locating and tracking system based on a wireless sensor network. The target locating and tracking system is composed of four basic parts, namely, wireless sensor nodes, gateway nodes, a computing center and a monitoring center, wherein the wireless sensor nodes are composed of a sensing module, a communicating module, a processor module and a power supply module, the plurality of sensor nodes are deployed in a monitoring region, all wireless sensor nodes are communicated with one another in a wireless manner and transmit sensed data signals to the gateway nodes to constitute a wireless network in a self-assembly manner, the gateway nodes are connected with the computing center through a USB interface, and the computing center is connected with the monitoring center through a video signal wire. The target locating and tracking method and the target locating and tracking system disclosed by the invention can be used for monitoring oil transmission pipelines or borders ceaselessly in an all-weather manner, locating and tracking an intrusion target intruding a monitored area, assisting a commander to formulate a disposal scheme and assisting attacks to the intrusion target.

The invention discloses a cloud intelligent invoice examination self-service terminal, and a cloud intelligent invoice identification and examination system and method that are based on the cloud intelligent invoice examination self-service terminal and are integrated with various technologies of the internet, cloud computing, image processing, intelligent identification, and intelligent query and the like. According to the cloud intelligent invoice examination self-service terminal, papery information of an invoice is converted into an electronic image; an internet cloud intelligent computing center carries out intelligent processing and identification on the invoice electronic image; and intelligent comparison and automatic inquiry are carried out according to corresponding contents of website inquire systems of all tax bureaus and tax bureau terminal invoice data bases to generate an authentication examination result, and the result is fed back. Therefore, the inquiry person can examine the authenticity of the invoice rapidly, simply, conveniently, and accurately and the accuracy rate can reach 99.99%. Moreover, multiple invoice scanning images can be uploaded simultaneously and thus the inquiry efficiency is high. The invoice inquiry operation is simplified; the efficiency is improved; supervision of the functional department can be carried out conveniently; the illegal behaviors like the false invoice making and selling behaviors can be effectively inhibited and thus heavy losses to the State can be avoided.

The invention discloses a full automatic game machine and the implementation method. A hood frame covers the full automatic game machine. A plurality of operation screens are arranged around the hood frame at intervals. A plurality of operation interfaces are arranged on the operation screens, on which players can set jetton and game mode. And the operation interfaces display the points of cards for the players. A planar is arranged in the hood frame. The planar is provided with an account and control center, a shuffle device, sensor, a mechanical arm and a plurality of card shelf. The invention has the advantages that: the invention can full automatically run card game without contrived shuffle and deal; during game the cards do not contact the players, which avoids contrived operation, improves the equity and reduces dispute.

The invention relates to a navigation signal acquiring method based on compressed sensing. Navigation signals are projected to form low-dimensional observation vectors by an observation matrix, the sparse optimization problem is solved at a signal reconstruction end, and high-dimensional navigation signals are reconstructed by the low-dimensional observation vectors at high probability. Requirements of Nyquist sampling frequency to hardware are met well, an acquiring device is only required to work in a low-speed sampling state to acquire measuring values, and the navigation signals can be reconstructed at a computing center, so that the workload of the acquiring device is greatly reduced, and data transmitting pressure on a transmitting system is relieved.

The invention provides a conglomerate founds collecting service system which is established on the basis of an Internet banking base platform and is connected with each level of application system in a bank through internal interfaces, wherein the conglomerate founds collecting service system comprises an amount management module, an interest computing module, a load consigning module, a service inquiry module, an informing service module and a founds collecting module. Compared with the prior art, the invention has the advantages of managing the information and the account of branches of conglomerates, providing complete and consistent service to all organizations of the conglomerates, acting the settlement of the conglomerates and, and becoming the computing center of the conglomerates. Simultaneously, the service network of the Internet banking can become the internal computing network of the conglomerates and forms the base of the internal founds collecting service of the conglomerates.

The invention discloses an electronic consumption system for generating and exchanging sales promotion lotteries and a method. The electronic consumption system comprises an information distribution system and a data real-time receiving server which is connected with the information distribution system by a transmission network and is used for receiving sales promotion information from the information distribution system, wherein the data real-time receiving server is connected with at least one consumption terminal which is connected with a consumption information input device, and the data real-time receiving server is used for generating the sales promotion lotteries and exchange information by carrying out matching computation with the information distribution system. The data real-time receiving server is used as a computing center; a POS is used as a data collection and interacting point; real-time treatment, tracking analysis and exchange settlement are carried out based on thecomputing analysis of real buying behaviors; the sales promotion lotteries can be correctly generated, and the sales promotion lotteries can be exchanged accordingly.

The invention discloses a cloud network end cooperative defense method and system based on end-side edge computing, and relates to information security of an electric power industrial control system. The method comprises the following steps: setting an edge computing center at a terminal side, collecting industrial control system terminal equipment information and communication flow information, defining and identifying attribute characteristics of an electric power industrial control terminal by utilizing equipment fingerprints, automatically collecting the fingerprints of the electric power industrial control terminal equipment by utilizing an Nmap scanning method, establishing a training model by a decision tree algorithm, and achieving the dynamic fingerprint authentication of the terminal equipment; through setting a switch mirror image, intelligent monitoring host flow control and cloud computing center training flow baseline, industrial control terminal equipment flow anomaly detection is realized, and a cloud cooperative defense technology based on edge computing is realized. Through flow data acquisition, information entropy quantification flow characteristic attribute preprocessing and improved semi-supervised clustering K-means algorithm training, abnormal flow detection of the electric power industrial control intranet is realized, and cloud network real-time defense based on abnormal flow detection is realized.

The invention discloses a handset device used for improving personal safety and an early warning method. The handset device comprises a smart phone, radar sensors, a positioning system, a CPU processing computing center, a handset client and an early warning composite device. Three embedded radar sensors are arranged inside the housing of the smart phone and respectively located in the front, the left side and the right side. The sensors are connected with a main board. The early warning composite device can be a flash lamp or a vibrating device or a loudspeaker. By making combined use of the radar sensors, the positioning system and the processing computing center, the handset device can predict rapidly moving objects in a relatively long distance and remind a pedestrian of possible surrounding risks in advance. Unknown danger is eliminated to the great extent. Traffic hazards are reduced in a timely manner. Personal safety is further improved. The personal safety of a handset user is protected. The handset is made in a way to make the user feel safe. The safety index of pedestrians is improved. Senses of security and happiness in the inner hearts of people are enhanced.