121 results about "Centralized computing" patented technology

Methods and devices are provided for detecting and/or preventing cheating in online gaming. Some implementations provide gaming information in formats that are difficult for a bot to interpret, but which are preferably easy for humans to interpret. Some implementations of the invention involve the tracking and analysis of players' gaming activities. Some implementations of the invention provide a multi-tier approach to data analysis. Some analyses may be performed, for example, by a centralized computing device such as a server, whereas other analyses may be performed by a host device. In some implementations, “challenge and response” measures will be employed. Some implementations of the invention involve detection and prevention of collaboration between players.

Embodiments of the present invention provide a communication system and management method thereof. The communication system includes: a radio transceiving layer, including a radio transceiving node combination, where the radio transceiving node combination includes at least one type of the following: a macro cell RRU, a Pico cell RRU, and a Pico cell BRU; a local computing layer, including a local computing node, connected to a radio transceiving node in one or multiple neighboring radio transceiving node combinations and configured to execute all communication processing or a first part of communication processing of a cell corresponding to the local computing node; a centralized computing layer, including a centralized computing node, connected to the local computing node in the local computing layer and configured to execute a second part of communication processing, where the all communication processing includes the first part and second part of communication processing.

The successful monitoring of procurement processes requires that dates in the supply chain be calculated exactly and tracked accordingly. The central calculation of dates ensures that different applications arrive at the same results, optimizing their accuracy. Monitoring the dates will allow a user to quickly gain an overview of the current procurement situation and react on time to potential delays. Dates from a purchase order are transferred to the event management system and used to calculate base dates. A schedule bar is provided in the event management system, and includes dates received or calculated by the event management system. An activity is triggered based upon the occurrence or nonoccurrence of an event by a purchaser order date or a calculated date.

A system and method for vehicle-centric infrastructure monitoring system includes an inspection system mountable on a vehicle configured to travel over an expanse of rail track having a plurality of track blocks. The inspection system acquires track data for at least some track blocks along the expanse of rail track. The monitoring system also includes a positioning system to determine a location of the vehicle and generate location data indicative of an associated track block location, a communications device to transmit the track/location data to a remote location, and a centralized computing system positioned at the remote location to receive the transmitted track/location data. The centralized computing system is programmed to determine a current probability of a track condition for a track block and combine the current track condition probability with a previously determined cumulative track condition probability to provide an updated track condition probability for the track block.

Interactive blocks (12, 212) that present changeable individual characterizations (118) and sensory output based on meaningful assemblage of sensed individual characterizations from similar juxtaposed blocks (12, 212) are configured to record their interactions to produce an historic log or both successful interactions that yield a sensory output or failed interactions that produce no logical or meaningful sensory event. Uploading of the historical log (158) permits automated computational assessment of all interactions, with a centralized computing resource dynamically arranged to cause selective download of new content and/or new operating instructions to one or more of the interactive blocks (12, 212) based of identification of trends in the historical record. The new content and operating instructions modifies operation of cooperating blocks to produce different, processor controlled individual characterizations an/or sensory outputs that reinforce learning or identified mistakes arising from inappropriate manipulation of the interactive blocks. The interactive blocks (12, 212) can be realized as physical entities or otherwise in a virtual screen environment, with the sensory output being visual, audible and/or a haptic response.

A method is disclosed for adapting a legacy software application developed for an environment comprising a centralized computing resource interconnected to a series of computer terminal devices applications to a network environment wherein the network environment can comprise a system of distributed, interconnected network computing resources, the method comprising the steps of: creating translatable source code and executable code for the initial legacy software application and; utilizing the translatable source code to produce a series of software components, the components being executable by at least one of the computing resources in the network environment, and upon execution, the computing resource is caused to interconnect with the executable code of the legacy software application over the network so as to interact with the legacy software application in the transmission or receipt of information to and from the legacy software application.

The invention discloses a distributed SLAM (simultaneous localization and mapping) method on the basis of global optimal data fusion.The distributed SLAM method includes that integral state vectors are divided by distributed structures into five dimensions of states including robot pose estimation and road sign estimation, robot pose describing observation distribution probability formulas which ought to be subjected to centralized computing in a matrix form are processed in a distributed manner, a plurality of parallel and independent sub-filters are individually established according to each effective road sign point, robot pose estimation results of the sub-filters are fused in master filters, fusion results of the sub-filters are subjected to feedback correction by the aid of a global predictor, and the global optimal robot pose estimation results can be ultimately obtained.The distributed SLAM method has the advantages that algorithms of the distributed SLAM method are compared to centralized algorithms via real experiments, and accordingly the feasibility and the effectiveness of the distributed SLAM method are proved.

The invention belongs to the technical field of block chains, and particularly relates to a block chain accounting method and device, a terminal and a computer readable storage medium. The accountingmethod comprises the steps that a local node generates a random number and broadcasts the random number to other nodes in a block chain network; the local node receives random number information broadcasted by other nodes, caches and continuously broadcasts the random number, then sorts the received random number and the random number generated by the local node to obtain an initial random numbersorting list, and then broadcasts the initial random number sorting list to the other nodes by the local node to obtain a random number sorting list consented by the whole network; the local node determines a block casting time slice to which the local node belongs in the current time period according to the random number sorting list consented through the whole network, and performs block castingwhen the block casting time slice arrives; the waste of computing power is effectively avoided, the problem of centralized computing power is avoided, and the stability of the block chain network isimproved.

The invention discloses a software-defined edge computing system oriented to Internet of Things and a resource allocation method, and the system comprises multi-access base station equipment deployedin a cellular manner, an edge node EN with data processing and computing functions is deployed at each base station, and meanwhile, the EN is connected to a centralized computing resource pool througha high-speed optical fiber. A software defined network and network function virtualization concept is introduced, a data level and a control level are separated, and a network function is decoupled from hardware equipment. An OpenFlow controller is adopted to realize centralized control, mobile management, data processing and resource distribution functions are executed upwards through a programmable application program interface, and the OpenFlow controller is communicated with a transponder downwards through an OpenFlow interface to realize forwarding of user data. Different characteristicsof the Internet of Things terminal user are considered, and the Stackelberg game is applied to the distribution process of computing resources of the Internet of Things terminal user, so that the resource utilization rate is improved to the maximum extent on the premise of ensuring the service quality of the user, and the requirements of more different types of users are met.

A vehicle transportation system, comprising the gathering of information consisting of vehicle availability and vehicle destination from a vehicle supplier interested in transporting vehicles from a first location to a second location and storing the vehicle availability information and said vehicle destination information into a centralized computer. An integrated framework programmed to match a vehicle with travelers and passengers to drive or be transported by the vehicle from the first location to the second location and making the vehicle availability information and vehicle destination information accessible via web page on the internet. A “supply chain” model to optimize the distance traveled, the number of vehicle and driver/traveler change overs and the time spent in between change overs and centralized auto terminals to allow for vehicle and driver exchanges.

Electric vehicle node controllers in accordance with embodiments of the invention enable adaptive charging. One embodiment includes one or more centralized computing systems; a communications network; a plurality of electric vehicle node controllers, where each electric vehicle node controller in the plurality of node controllers contains: a network interface; a processor; a memory containing: an adaptive charging application; a plurality of electric vehicle node parameters describing charging parameters of an electric vehicle node in the electric vehicle charging network; where the processor is configured by the adaptive charging application to: send electric vehicle node parameters to the one or more centralized computing systems; and charge the electric vehicle node using a charging rate received from the one or more centralized computing systems; where the one or more centralized computing systems is configured to: receive the electric vehicle node parameters from the plurality of electric vehicle node controllers; calculate a plurality of charging rates for the plurality of electric vehicle node controllers using the electric vehicle node parameters, a plurality of adaptive charging parameters, and a cost function; and send the charging rates to the plurality of electric vehicle node controllers.

An electronic voting terminal includes: a display; a data input device; a biometric input device; a case having an open and a closed position, the case protecting the display, the input device, and the biometric input device in the closed position, the case making the display, input device and biometric input device accessible by the voter in the open position; a communications medium; a microprocessor to control the display, the data input device, the biometric input device, and the communications medium; and a power supply that accepts alternating current and provides direct current to the microprocessor The device utilizes the biometric input device to validate the identity of the voter, utilizes the data input device to receive the ballot from the voter, and utilizes the communications medium to transmit the ballot. A system for voting also includes a centralized computer and voter registration database.

The invention discloses a method for directly accessing hardware data into a big data platform. The method comprises the following steps: acquiring hardware equipment data and sending the data to an Internet of Things computing gateway; performing edge computing on the acquired data by The Internet of Things computing gateway, compressing the high-frequency repeated data according to change conditions, and performing computing to obtain prediction and alarm data; Data after edge calculation and prediction and alarm data are submitted to a big data warehouse of a distributed architecture, and achieving real-time warehousing of the collected data. The Internet of Things computing gateway based on the ARM architecture has the advantages that the overall architecture of the Internet of Thingscomputing gateway based on the ARM architecture for compressing and computing the front-end acquired data reduces the dependence on a cloud server, reduces the expenditure of the server, and is quickin response and high in reliability. According to the method, multi-dimensional information prediction based on artificial intelligence and deployment of the distributed bins are realized in a front-end severe environment, and the problems that a computer based on an X86 architecture cannot meet the front-end severe environment and a computing queue is too long, prediction cannot be performed in time and the bins cannot be distributed discretely due to centralized computing of a server are solved.

A method for balancing recognition accuracy and power consumption is provided. The method includes activating a plurality of sensors onboard a device for a first time period and calculating sensor readings by using a calculation function. The method also includes determining a plurality of sensor subsets of the plurality of sensors and calculating corresponding errors for the plurality of sensor subsets for the first time period. Further, the method includes calculating respective power consumption of running the sensor subsets of the plurality of sensors from the plurality of sensor subsets that produce the error below the user-defined error threshold and selecting a sensor subset with minimum power consumption from the sensor subsets as an optimal sensor subset. In addition, the method includes deactivating the plurality of sensors not in the optimal sensor subset and calculating and displaying sensor readings with the optimal sensor subset for a second time period.

A distributed imaging system uses non-ionizing radiation in the form of microwaves to image the body. This non-ionizing radiation is safer for a patient than traditional x-rays. The majority of image processing takes place in a centralized computing environment which receives microwave image data from many remote data acquisition sites (such as imaging centers, radiology groups, and/or doctor's offices). The centralized computing environment is specially configured to receive microwave image data from many sites and produce microwave images based on the received microwave image data. The microwave images may then be sent back to the acquisition site and/or to other sites for viewing and evaluation. This relieves the image data acquisition site of the burden and expense of having specialized high speed computer equipment that is necessary to produce microwave images. Because the computing environment collects and stores information (data and results) from many data acquisition sites in one central location, the prior results from all of the acquisition sites can be accessed and used to enhance processing and diagnosis.

The invention discloses a method, device and system for obtaining a transmission path in a network. The method comprises: collecting state data of n terminals contained in the transmission network, wherein the state data at least comprise quality information of every terminal and data transmission weight between any two terminals; dividing the n terminals into multiple terminal sets according to a preset rule, wherein the n is a natural number; calculating the shortest paths from any one terminal node contained in every terminal set to other terminal nodes in parallel; determining the shortest path between any two terminals in the transmission network according to the shortest paths corresponding to every terminal set. According to the invention, the technical problem in the prior art that the cycle of obtaining the shortest path is long under a condition of network fluctuation or path failure when centrally calculating the paths in a single machine through a dynamic accelerating technique is solved.

Embodiments of the invention provide a scheduling method and system for multiple mobile robots, and belong to the field of robots. The scheduling method for the multiple mobile robots includes the steps of acquiring a plurality of sets of historical node region sequences corresponding to an initial position and a planned path, a mobile robot being configured to pass only from the assigned node sequence; conducting statistics on corresponding historical execution parameters when the mobile robot executes the plurality of sets of historical node region sequences; and when detecting a schedulingrequest for scheduling the mobile robot from the initial position to the planned path, selecting a first historical node region sequence from the plurality of sets of historical node region sequencesbased on the statistical result of the historical execution parameters, and assigning the selected first historical node region sequence to the mobile robot. Thus, the efficiency of centralized computing of a server is increased, the response efficiency of the server is optimized, and the transportation efficiency of the mobile robots in dense areas is also improved at the same time.

The embodiment of the invention provides an SDN-based multi-link delay equalization method and system. The method comprises the following steps that: an SDN switch transmits private two-layer message calculation link delay to a neighbor switch; the SDN switch reports MAC (Media Access Control) address information, port information and the link delay to an SDN controller in order that the SDN controller calculates network topology; and the SDN switch reports a message of an unmatched flow table to the SDN controller, wherein the message of the unmatched flow table includes destination MAC, the network topology and the link delay in order that the SDN controller calculates a forwarding path with smallest link delay and issues a flow table of the forwarding path with the smallest link delay to the SDN switch. Through adoption of the SDN-based multi-link delay equalization method and system, the forwarding path with the smallest delay can be selected accurately through centralized computing of the controller.

The invention discloses a high-hardware elasticity accurate face sampling and recognition method, which comprises a face sampling database building method and a face recognition method. Through introducing "Internet +" and "cloud computing" concepts, unaware separation between a front end and a rear end is realized, and a queue thinking is delicately used to realize double transparent proxy between "field device" and "high-speed computing cloud". The cloud thinking is used to deploy centralized computing capabilities, multiple low-end devices are allowed to share one computing device at the same time, the cost is controlled, waste of resources is also avoided, the advantage of the high-hardware elasticity structure also lies in that a client can finally choose to be on-cloud or not on-cloud, and a possibility is provided for the optimal balance between application and the cost.