65results about How to "Increase computing resources" patented technology

System comprised of a portable medical device and method for registering at least one of electrocardiographic (ECG), magnetocardiographic (MCG), physical activity, body position, respiration, temperature, blood pressure, vasomotor activity, blood flow, neural activity, and other physiological, and health data, extracting and representing the most significant parameters from time series (trends) of said data. The system achieves the necessary sensitivity (signal-to-noise ratio) in order to miniaturize the device by collecting data of at least one fiducial point in a cardiac complex over a period of at least one, and preferably, several seconds, and extracting the underlying typical patterns from these data. Due to the miniaturization (pocket-size), the system can be implemented in a shape of a pen (or another miniature shape) that can be worn in a pocket.

An encryption technique is disclosed for encrypting a data segment comprising a plurality of data blocks, wherein the security and throughput of the encryption is enhanced by using blockwise independent bit vectors for reversible combination with the data blocks prior to key encryption. Preferably, the blockwise independent bit vectors are derived from a data tag associated with the data segment. Several embodiments are disclosed for generating these blockwise independent bit vectors. In a preferred embodiment, the data tag comprises a logical block address (LBA) for the data segment. Also disclosed herein is a corresponding decryption technique as well as a corresponding symmetrical encryption / decryption technique.

System comprised of a medical device and method for analyzing physiological and health data and representing the most significant parameters at different levels of detail which are understandable to a lay person and a medical professional. Low, intermediate and high-resolution scales can exchange information between each other for improving the analyses; the scales can be defined according to the corresponding software and hardware resources. A low-resolution Scale I represents a small number of primary elements such as intervals between the heart beats, duration of electrocardiographic PQ, QRS, and QT-intervals, amplitudes of P-, Q-, R-, S-, and T-waves. This real-time analysis is implemented in a portable device that requires minimum computational resources. The set of primary elements and their search criteria can be adjusted using intermediate or high-resolution levels. At the intermediate-resolution Scale II, serial changes in each of the said elements can be determined using a mathematical decomposition into series of basis functions and their coefficients. This scale can be implemented using a specialized processor or a computer organizer. At the high-resolution Scale III, combined serial changes in all primary elements can be determined to provide complete information about the dynamics of the signal. This scale can be implemented using a powerful processor, a network of computers or the Internet. The system can be used for personal or group self-evaluation, emergency or routine ECG analysis, or continuous event, stress-test or bed-side monitoring.

System comprised of a portable medical device and method for non-contact registering at least one of electrocardiographic (ECG), magnetocardiographic (MCG), physical activity, body position, respiration, temperature, blood pressure, vasomotor activity, blood flow, neural activity, and other physiological, and health data, extracting and representing the most significant parameters from time series (trends) of said data. The system achieves the necessary sensitivity (signal-to-noise ratio) in order to miniaturize the device by collecting data of at least one fiducial point in a cardiac complex over a period of at least one, and preferably, several seconds, and extracting the underlying typical patterns from these data. Due to the miniaturization (pocket-size), the system can be implemented in a shape of a pen (or another miniature shape) that can be worn in a pocket.

The invention provides a separable array-based reconfigurable accelerator and a realization method thereof. The reconfigurable accelerator comprises a scratchpad memory cache area, separable calculation arrays, and a register cache area, wherein the scratchpad memory cache area is used for realizing reuse of data of convolution calculation and sparsity full connection calculation, the separable calculation arrays comprise multiple reconfigurable calculation units and fall into a convolution calculation array and a sparsity full connection calculation array, the register cache area is a storage area formed by multiple registers, and provides input data, weight data and corresponding output results for convolution calculation and sparsity full connection calculation, input data and weight data of convolution calculation are input into the convolution calculation array, the convolution calculation array outputs a convolution calculation result, input data and weight data of the sparsity full connection calculation are input into the sparsity full connection calculation array, and the sparsity full connection calculation array outputs a sparsity full connection calculation result. Characteristics of two neural networks are fused, so that the calculation resource of the chip and the memory bandwidth use ratio are improved.

The invention discloses a data analysis application platform system based on a cloud platform and a micro-service framework. The system comprises a basic resource management platform, a data access module, a data storage module, a data service module and a system management module, the system is constructed based on a virtual machine environment constructed by an Openstack platform; the effect ofa data center of the quasi-real-time data service platform is fully exerted; a small-core and large-periphery system is constructed, the requirements of a user for simple service application functions, easy deployment, easy expansion and quick online use are met, and the data analysis application platform system based on the cloud platform and the micro-service architecture is provided and mainlycomprises a platform application layer, a data storage layer, a data service layer, a system management layer and the like.

An encryption technique is disclosed for encrypting a data segment comprising a plurality of data blocks, wherein the security and throughput of the encryption is enhanced by using blockwise independent bit vectors for reversible combination with the data blocks prior to key encryption. Preferably, the blockwise independent bit vectors are derived from a data tag associated with the data segment. Several embodiments are disclosed for generating these blockwise independent bit vectors. In a preferred embodiment, the data tag comprises a logical block address (LBA) for the data segment. Also disclosed herein is a corresponding decryption technique as well as a corresponding symmetrical encryption / decryption technique.

The invention provides a data fusion method and device for a knowledge graph. The system for executing the method comprises a data platform configured with a unified access interface, and the method comprises the following steps: processing data from different data sources, converting the processed data into a triple format, storing the processed data into the data platform through the unified access interface, and receiving graph data index information returned by the data platform; according to the graph data index information, dividing an entity stored in the data platform into one or moresub-partitions according to attributes; performing similarity calculation on the candidate entity pairs divided into the same sub-partition, and screening out matched entity pairs meeting a preset similarity condition; and supplementing and / or replacing the entity attribute values of the matched entity pairs to generate a unified entity representation. By means of the method, the problem that an existing data fusion technology cannot flexibly adapt to data fusion of different knowledge bases can be effectively solved.

The invention belongs to the technical field of wireless communication. The invention discloses a collaborative computing unloading and resource allocation method and application. According to the method, the weighted sum of computing rate of mobile edge computing and the throughput of a block chain system is maximized by jointly optimizing collaborative unloading decisions, power allocation and the block size and the block time of the block chain system; optimal compromise of the performance of two subsystems is realized. Specifically, firstly, a computing task of a mobile device is unloadedto an MEC server to be executed through cooperative communication; secondly, a computing unloading transaction from an MEC system is processed by adopting a block chain technology; in order to ensurethe security of data in an integrated system, a trust computing model is considered in cooperative unloading and block generation. According to the method, a joint optimization problem is converted into a Markov decision process problem, and an efficient unloading decision and resource allocation algorithm based on deep reinforcement learning is put forward.

A diagnostic unit is coupled to at least one vehicle control subsystem. The vehicle control subsystem includes one or more of a brake control unit, an engine control unit, and a transmission control unit to provide vehicle data. The diagnostic unit generates diagnostic log information based on the vehicle data and communicates the diagnostic log information to a remote computing device, which hosts a reverse auction to identify at least one vendor that can provide vehicle service based on the diagnostic log information. After identifying the vendor, the diagnostic unit generates and presents service information representing the identified vendor to a vehicle operator via an input / output interface in the vehicle. The input / output interface can accept vehicle data, configuration data, and diagnostic data from the vehicle and the vehicle operator.

A system for managing house appliances supplied through a power grid is provided. Each house appliance operates according to at least one corresponding operative mode. Each operative mode comprises a sequence of operative phases. The system comprises at least one control unit interfaced with the house appliances for exchanging data. The at least one control unit collects power profile data comprising timing and electric power consumption data of each operative phase of each operative mode of the house appliances; generates a time schedule of the house appliances operations by distributing in time the execution of the operative phases thereof such that total power consumption of house appliances is kept under a maximum power threshold of the power grid; and controls the operation of the appliances based on the time schedule. The at least one control unit is configured to generate the time schedule by exploiting a Particle Swarm Optimization approach.

A shuffle with proof having a method for proof generating with small computational resources proportionate to the number of input encrypted messages and a corresponding method for verification. Shuffle is represented by a generalized transformation. Combining a proof that the transformation information is retained and a proof of a condition under which the transformation is met constitute the proof for shuffle. The two proofs are short proportional to the number of input encrypted messages. Transformation information retention is proved in such a manner that, since the response is generated from challenge value in dependency upon transformation, the condition under which the transformation is met is reflected in the response-challenge value relation. If the condition under which the transformation corresponding to the shuffle is selected as the condition for proof, the two proofs may constitute the proof for shuffle.

The invention discloses a migration method and device of an unmanned aerial vehicle computation task, and the unmanned aerial vehicle. The migration method comprises the following steps: acquiring a task instruction in advance, wherein the task instruction comprises accomplishing the issued computation task in the process that the unmanned aerial vehicle flies to a termination location from the starting location in the required time; correspondingly migrating the computation task to each base station including a mobile edge computation server on a communication ground corresponding to the unmanned aerial vehicle according to the current communication channel in the flight period of the unmanned aerial vehicle; and acquiring a task result of computing the corresponding sub-computation taskby using the included mobile edge computation server by each base station in the required time in the premise of satisfying the maximum flight displacement constraint of the unmanned aerial vehicle, the starting location and termination location constraint, the task complete migration constraint and the computation capacity constraint of each base station, thereby accomplishing the computation task. Visibly, the computation resource of the unmanned aerial vehicle is indirectly increased by means of the computation resource of each mobile edge computation server on the communication ground, thereby enlarging the application range of the unmanned aerial vehicle.

An autostereoscopic 3D display comprises a first unit (503) for generating an intermediate 3D image. The intermediate 3D image comprises a plurality of regions and the first unit (503) is arranged to generate a first number of image blocks of pixel values corresponding to different view directions for the region regions. The number of image blocks is different for some regions of the plurality of regions. A second unit (505) generates an output 3D image comprising a number of view images from the intermediate 3D image, where each of the view images correspond to a view direction. The display further comprises a display arrangement (301) and a driver (507) for driving the display arrangement (301) to display the output 3D image. An adaptor (509) is arranged to adapt the number of image blocks for a first region in response to a property of the intermediate 3D image or a representation of a three dimensional scene from which the first image generating unit (503) is arranged to generate the intermediate image.

The detection apparatus includes means for detecting rotation speed information of the respective wheels of a vehicle; means for estimating, a frequency characteristic of the wheel rotation speed information; and means for determining, based on the estimated frequency characteristic, a tire having a decreased air pressure. The frequency characteristic estimate means includes, to a time-series signal including the wheel rotation speed information: means for time-series estimating a third order or more linear model parameter; means for generating pseudo input data; means for estimating, based on the estimated linear model parameter and the pseudo input data, output data to a linear model; means for identifying, based on the pseudo input data and the estimated output, a linear model parameter for which the order is reduced to a second order; and means for estimating, based on the identified parameter for which the order is reduced to the second order, a resonance frequency of a tire torsional direction. The decreased air pressure determination means is so configured as to determine a tire having a decreased air pressure based on the estimated resonance frequency of the tire torsional direction.

A method of recognizing voice commands cooperatively includes generating a voice command from a user specifying a target machine and a desired action to be performed by the target machine, and a plurality of machines receiving the voice command, the plurality of machines comprising the target machine and at least one member machine. The method also includes each of the plurality of machines performing a recognition process on the voice command to produce a corresponding recognition result, each member machine sending its corresponding recognition result to the target machine, and the target machine evaluating its own recognition result together with the recognition result from each member machine to determine a most likely final recognition result for the voice command.

Apparatus and methods are provided for controlling the loading status of DLLs. Specifically, a streaming program compiler is provided. The compiler includes operation modules for calling DLLs during streaming program execution; association table generating units for generating association tables according to user-defined rules, where the association table includes entries indicating (i) stream branches of the streaming program and (ii) an operation module corresponding to the stream branches; and a trigger generating unit for generating a trigger based on user-defined rules, where the trigger generating unit (i) determines which conditions for loading and unloading DLLs fit the streaming program, (ii) matches these conditions to a particular stream branch to identify a matched stream branch, and (iii) sends out triggering signals indicating the matched stream branch. This invention also provides a corresponding method and controller.

A system for managing devices supplied through a power grid is proposed. Each device is configured to consume over time electric power according to at least one respective power profile when operating. The system comprises at least one unit interfaced with the devices for exchanging data. The at least one unit collects power profile data indicative of the power profiles of the devices, and generates a time schedule of the device operations by distributing over time start times of the power profiles in such a way that at any time the total power consumption of the devices is kept under a maximum power threshold of the power grid.

The invention discloses a data receiving method and a data receiving device. The method comprises the following steps: a receiver receives a communication signal sent by a sending end, and the communication signal is sent through a frequency domain diversity mode. The receiver divides the frequency bands of the received communication signals, performs channel estimation on the communication signals of the divided frequency bands, and calculates diversity weights of the respective frequency bands according to the channel estimation values of the respective frequency bands. The receiver uses thediversity weights of each frequency band to combine the maximum ratio of the communication signals of each frequency band. The invention calculates diversity weights of each frequency band accordingto channel estimation values of each frequency band. The calculated diversity weights of each frequency band vary with different channels, and the diversity weights of each frequency band are utilizedto combine the communication signals of each frequency band to obtain better diversity combining effect, thus effectively improving the system performance of the receiver under the premise of increasing very limited computational resources.

The invention provides a distributed data searching system and method, and the system comprises a data collection module, an index management module, and a searching module; the data collection moduleis used for collecting various types of data, cleaning the collected various types of data, and storing the cleaned data in a database; the index management module is used for constructing an index library for the database; the search module is used for obtaining a search request and analyzing the obtained search request to obtain semantics, searching an index library according to semantics to obtain a target index, and searching the database by using a target index to obtain a search result. By applying the embodiment of the invention, the search efficiency is improved.

The invention relates to the field of image processing, and discloses a face snapshot method and system in video monitoring, and the method comprises the steps of obtaining a current frame target image of a video or picture flow; performing human face detection on the current frame of target image, and outputting human face rectangular frame coordinates; performing quality evaluation on the face small image to obtain a quality score of each face in the current frame of target image; performing feature extraction on each face small image to obtain face features of each face in the current frameof target image; respectively matching all the stored face tracks with each face in the current frame of target image; updating all face track information; and performing frame-by-frame snapshot andoptimal face snapshot judgment, and reducing the optimal quality score of the face trajectory by using the attenuation factor alpha. According to the invention, the real-time performance of snapshot and the high quality of snapshot pictures are ensured, the computing resources of the system are saved, the snapshot repetition rate is reduced, the robustness of the whole system is improved, and theaccuracy of subsequent face recognition is improved.

The invention relates to a method and device for controlling numerical-control machine tools. The method for controlling numerical-control machine tools comprises the steps of: recognizing an edge calculation module, wherein the edge calculation module is connected with a numerical-control device of a numerical-control machine tool through a bus or a short-distance network; registering a service in the recognized edge calculation module; starting the registered service and obtaining numerical-control machine tool-related data required by the started service; and sending the data to the edge calculation module. The invention furthermore discloses a corresponding device, a computer system and a computer readable storage medium.

The invention discloses a method and a device for adjusting a real-time computing task. When the first computing task is determined to be adjusted according to the execution status of the first computing task currently detected, the first computing task is adjusted. Starting a second computing task and stopping the first computing task after the second computing task runs can automatically expandor release the capability of computing resources, and the whole processing process is relatively simple.

A remote network management platform is provided that includes an end-user computational instance dedicated to a managed network, a training computational instance, and a prediction computational instance. The training instance is configured to receive a corpus of textual records from the end-user instance and to determine therefrom a machine learning (ML) model to determine the numerical similarity between input textual records and textual records in the corpus of textual records. The prediction instance is configured to receive the ML model and an additional textual record from the end-user instance, to use the ML model to determine respective numerical similarities between the additional textual record and the textual records in the corpus of textual records, and to transmit, based on the respective numerical similarities, representations of one or more of the textual records in the corpus of textual records to the end-user computational instance.

Systems and methods for utilizing distributed computing and storage resources intelligently select processing and / or storage resources of cell sites, data centers and / or other computing nodes and tap into these available processing and data storage resources to harness these resources on behalf of other remote devices to increase the amount of computing and storage data resources to perform tasks and store data for various services. The system predicts demand and usage and dynamically selects and adjusts utilization of computing resources to meet the demand and utilize otherwise idle systems. To improve latency and reduce network congestion by avoiding adding network traffic over longer and more complex routes, the system provides resources to particular remote devices based on the geographic proximity of the computing node to the particular remote device requesting the resources.

The invention provides a sparse matrix solving method based on FPGA parallel acceleration. A sparse matrix is decomposed, reciprocals of diagonal elements of a lower triangular matrix are taken, datais segmented and distributed according to a data dependency relationship, the data in each processing unit is arranged, and accurate beat-level hardware resource scheduling is adopted for calculationaccording to an arranged operation sequence. Therefore, highly-fused software and hardware cooperative acceleration and sparse matrix solving fine-grained parallel pipeline is realized, the problems of low processing efficiency, waste of computing resources and even incapability of computing in the prior art are effectively solved, the computing resources are saved, and the processing efficiency is improved.

The invention discloses an Internet-based method for building an event-driven mechanism programming model and belongs to the field of Internet application and development. The method comprises: firstly, enabling computing nodes to receive and transmit a request; secondly, establishing a direct and equipotent interactive protocol among the computing nodes and establishing message-based event listening mechanisms at the computing nodes; thirdly, establishing a dynamic cluster among nodes having common needs and transmitting data by using a data multicast mechanism in the dynamic cluster; fourthly, monitoring nodes in the dynamic cluster, and transmitting data of an event occurrence node to other nodes through the data multicast mechanism; and finally, establishing an event-driven programmingmodel according to the type of data transmitted. On the premise of avoiding network cost increase, the method increases network computing resources; and meanwhile, a event-driven mechanism in the programming model allows a network user to acquire concerned event information timely and automatically. Therefore, network service is effective, convenient and humanized.

The invention belongs to the technical field of safety critical computers, and provides a universal double 2-vote-2 computer architecture which comprises a maintenance board MTN30, a computer I systemand a computer II system, wherein the computer I system and the computer II system are identical in structure; the computer I system and the computer II system are in data connection with the maintenance board MTN30 through an ARINC 659 bus; the ARINC 659 bus is used for data interaction and data two-out-of-two comparison of the computer I system and the computer II system; the maintenance boardMTN30 provides upgrading software programs for different CPU modules in the computer architecture and records faults; the computer I system comprises a self-monitoring processor board VCU and a self-monitoring input / output board DIO; the self-monitoring processor board VCU is combined with control software to perform computer system integration and logic control; and the self-monitoring input / output board DIO is used for collecting an external switching value and driving an external relay. The method has the advantages of high safety, high reliability, modular reconfiguration, easiness in maintenance and expansion, convenience and quickness in operation and the like, and provide a universal product for a railway signal system.

The invention relates to a method for establishing a WWW with dynamic characteristic, belonging to the technical field of the internet, in particular to the field of the application of the large-scale distributed technology to the internet, and aiming at solving the problems existing in the prior internet. The method for establishing the WWW with dynamic characteristic is characterized in that a domain mechanism based on all internet computing equipment is established; the hyperlink is defined for new domain names so that the domain names form the association based on data; the data address description based on the dynamic WWW is established; the transmission is carried out according to the sequence of the formation of the dynamic WWW data address level; the free direct interactive mode based on the dynamic WWW domain name is established; and a complex network system based on the dynamic WWW is established to realize the dynamic WWW. Because the new characteristic WWW is established, and the related data are associated through a new hyperlink, the way of using the internet by the common user is made to be perfect on the mechanism, and the user can efficiently and completely issue and obtain various forms of high-quality data under the adequate support of the intellectual resources in an updated internet system.