209 results about "Speed of processing" patented technology

<heading lvl="0">Abstract of Disclosure< / heading> A security management system includes a fusion engine which "fuses" or assembles information from multiple data sources and analyzes this information in order to detect relationships between raw events that may indicate malicious behavior and to provide an organized presentation of information to consoles without slowing down the processing performed by the data sources. The multiple data sources can comprise sensors or detectors that monitor network traffic or individual computers or both. The sensors can comprise devices that may be used in intrusion detection systems (IDS). The data sources can also comprise firewalls, audit systems, and other like security or IDS devices that monitor data traffic in real-time. The present invention can identify relationships between one or more real-time, raw computer events as they are received in real-time. The fusion engine can also assess and rank the risk of real-time raw events as well as mature correlation events.

The embodiment of the invention provides a method for full frequency domain digital hearing aid, which comprises the following steps: firstly, acquiring input voice signals of front and back two microphones and performing framing, Fourier transformation and voice scene type recognition; secondly, when voice is mixed with noises, performing noise detection of subframe voice frequency domain signals, beamforming of the two microphones, wind noise processing and inhibition of other noises, compacting the dynamic ranges of frequency domains and inhibiting acoustic feedback; and finally performing the Fourier transformation and overlap-add to obtain output voice signals. The embodiment of the invention also discloses equipment for full frequency domain digital hearing aid. Through the proposal provided by the embodiment of the invention, the problem that the prior digital hearing aid focuses on solving only one aspect of hearing disorder rather than comprehensively take all factors influencing use effect into consideration is solved. Meanwhile, the embodiment of the invention provides a proposal for full frequency domain digital hearing aid. The method, the equipment and proposal have the advantages of quick processing, less resource occupation, low energy consumption and the like.

Provided is a multi-beam type charged particle beam applied apparatus in an implementable configuration, capable of achieving both high detection accuracy of secondary charged particles and high speed of processing characteristically different specimens. An aperture array (111) includes plural aperture patterns. A deflector (109) for selecting an aperture pattern through which a primary beam passes is disposed at the position of a charged particle source image created between an electron gun (102), i.e., a charged particle source, and the aperture array (111). At the time of charge-control beam illumination and at the time of signal-detection beam illumination, an aperture pattern of the aperture array (111) is selected, and conditions of a lens array (112), surface electric-field control electrode (118) and the like are switched in synchronization with each beam scanning. Thus, the charges are controlled and the signals are detected at different timings under suitable conditions, respectively.

A method of compressing video data having at least one frame having at least one block and each block having an array of pixels is provided. The method transforms the pixels of each block into coefficients and creates an optimal transmission order of the coefficients. The method also optimizes the speed of processing compressed video data by partitioning the data bitstream and coding each partition independently. The method also predicts fractional pixel motion by selecting an interpolation method for each given plurality or block of pixels depending upon at least one metric related to each given block and varies the method from block to block. The method also enhances error recovery for a current frame using a frame prior to the frame immediately before the current frame as the only reference frame for lessening quality loss during data transmission. Enhanced motion vector coding is also provided.

The invention provides a common invader object detection and identification method of a power transmission corridor based on deep learning. The method comprises that in a training phase, the deep learning method is used to learn pictures, collected by a video collector, of invasion of foreign matters, and a needed network module is obtained by learning; and in the using phase, pictures obtained by practical monitoring is transmitted to the network module to detect and identity invaders. Thus, different types of invaders can be detected and identified, the accuracy and robustness are high, a relatively high processing speed is ensured, and reliable safety guarantee is provided for power transmission lines.

Provided is a multi-beam type charged particle beam applied apparatus in an implementable configuration, capable of achieving both high detection accuracy of secondary charged particles and high speed of processing characteristically different specimens. An aperture array (111) includes plural aperture patterns. A deflector (109) for selecting an aperture pattern through which a primary beam passes is disposed at the position of a charged particle source image created between an electron gun (102), i.e., a charged particle source, and the aperture array (111). At the time of charge-control beam illumination and at the time of signal-detection beam illumination, an aperture pattern of the aperture array (111) is selected, and conditions of a lens array (112), surface electric-field control electrode (118) and the like are switched in synchronization with each beam scanning. Thus, the charges are controlled and the signals are detected at different timings under suitable conditions, respectively.

The invention provides a caching optimizing method of internal storage calculation. The method includes the steps that monitoring codes are inserted into a Spark source program, and dynamic semantic analysis is performed on an application program to construct a DAG; out-degrees of all vertexes in the DAG are calculated, RDDs of the vertexes of which the out-degrees are larger than one are screened, and the screened RDDs are RDDs needing to be cached to an internal storage; according to a greedy algorithm, the execution sequence of Action is adjusted so that the access sequence of RDD data calculation can be optimized; the weights of the RDDs are calculated, and the replaced RDDs in the internal storage are determined according to an internal storage replacement algorithm; it is determined how to process the replaced RDDs according to a multi-level caching algorithm. By the utilization of the caching optimizing method of internal storage calculation, a programmer does not need to examine and weigh internal storage using and display the RDDs of the appointed loading internal storage in the process of programming, programming loads of the programmer are reduced, meanwhile, the utilization rate of the internal storage is improved, and then the speed of processing big data is increased.

The invention belongs to the abnormal monitoring field of cloud monitoring, in particular to log monitoring, and discloses a log file processing method and device, a computer device and a storage medium. The method comprises the following steps of obtaining log files generated by an application program and identifying a file format corresponding to the log files; determining a file parsing rule corresponding to the recognized file format; parsing the log file according to the determined file parsing rules to obtain a unified coding specification file, and analyzing the unified coding specification file through preset text parsing rules to obtain log fields; generating a data dimension statistical table according to the log field, and comparing the data dimension statistical table with a historical data dimension statistical table to obtain difference information; generating alarm information according to the difference information, and outputting the alarm information. The method improves the processing speed of log files in different formats and reduces the workload of developers.

The invention discloses a method and device for processing a read / write request in a physical host. After accessing the memory of at least one of virtual storage devices, the HOST polls one or more instruction sending queues of the at least one virtual storage device, thereby acquiring a first read / write request from the one or more instruction sending queues to execute a first forwarding operation on the first read / write request; the HOST acquires another first read / write request from the one or more instruction sending queues through the polling, thereby executing the first forwarding operation on the another first read / write request. Through the adoption of the method and device provided by the embodiment of the invention, the access speed of processing the read / write request in a virtual storage scene can be improved.

The invention discloses a dispatching method of a virtual processor based on NUMA high-performance network cache resource affinity. The dispatching method comprises the steps that under an NUMA framework, when a virtual machine network card is started, distribution of a network card cache on each NUMA node is obtained; based on the affinity relationship among the NUMA nodes, the affinity of each NUMA node towards the network card cache is obtained; a target NUMA node is determined by combining the distribution of the network card cache on each NUMA node and the affinity of each NUMA node towards the network card cache; the virtual processor is dispatched to a CPU of the target NUMA node. The dispatching method of the virtual processor based on NUMA high-performance network cache resource affinity resolves the problem that under the NUMA framework, the affinity of a VCPU of a virtual machine and the network card cache is not optimal, so that the speed of processing network data packages of the virtual machine network card is low.

The embodiment of the invention discloses an order task picking system, a processing method, a device, a server and a medium, wherein, the method comprises: determining a picking workstation, a firstdriving device, a second driving device and a mobile seeding wall for executing an order task, and determining a warehouse container hit by the order task in response to the order task; assigning order tasks to picking stations; scheduling a first drive device so that the first drive device transports a hit warehouse container to a sorting station; the second drive device being scheduled so that the second drive device transports the determined mobile seeding wall to the sorting station. The embodiment of the invention solves the problem that the existing sorting and seeding method can only select a fixed seeding wall, which leads to the lack of flexibility in sorting articles and consumes the labor cost, improves the speed of processing the order task, realizes the effective sorting of the order task, and reduces the labor cost.

The invention belongs to the technical fields of computer application and computer vision and provides a hierarchical traffic sign identification method based on a quick dichotomous convolutional neural network. According to the method, a quick dichotomous convolutional neural network structure is designed to relieve the problems of a large calculated quantity and time consumption in the convolution process, and a hierarchical classification algorithm based on the quick convolutional neural network is proposed. According to specific application, at a rough classification stage, a traffic signimage is preprocessed to obtain a region of interest first, and then the region of interest is input into the quick dichotomous convolutional neural network and roughly divided into a plurality of large categories; and at a fine classification stage, traffic signs are preprocessed again according to characteristics of all the categories, the quick dichotomous convolutional network is further utilized to perform fine classification on the processed signs, and a final result is obtained. The result shows that the proposed algorithm has a high classification correct rate, meanwhile has a high processing speed and is more suitable for a traffic sign identification system with a high instantaneity requirement.

An active contour model based method for segmenting mammary gland DCE-MRI focus belongs to the field of medical image segmentation and comprises the following steps: obtaining mammary gland DCE-MRI image sequence data by MRI scanning equipment; manually selecting a region of interest; automatically obtaining subtracted size of interest, active contour segmenting focus and visually display focus. According to the invention, based on the features that statistical distributions of mammary gland DCE-MRI image backgrounds are consistent and internal distributions in the focus are different, an edge stopping function of the active contour model is designed, thereby realizing reliable segmentation of the focus and effectively avoiding edge outleakage phenomenon; during the model evolutionary process, re-initialization of a signed distance function is not required, so that the real-time performance of the system is higher. The method has a lower requirement on manual operation in implementation, is high in intelligent degree, low in data storage space requirement, and quick in processing speed, and can effectively obtain comprehensive and steric space information of the focus through three-dimensional angle segmentation, which facilitates the multi-angle observation and analysis of the focus by a doctor.

The invention discloses a mobile medical care information management system, which comprises a personnel positioning module, a triage classification module, a transshipment monitoring module, a nurse workstation module, an inspection and checkout module, a doctor workstation module and a server, wherein the above modules are connected with the server through a system service bus based on a message middleware. The system takes wounded personnel as a center, integrates all links including wounded personnel positioning, classified confirmation of injury states, illness state monitoring in a transshipment process, and treatment and nursing by doctors and nurses, and uploads the information of each link to the server in time, the injury state change of the wounded personnel can be known in real time through the server by other links, the wounded personnel can be effectively succoured and treated, a transshipment scheme and a treatment scheme can be made in time according to positioning information, injury state information and the like if an emergency situation appears, and rescue efficiency and processing speed can be improved.

The invention provides an equipment fault processing method and system, and the method comprises the steps: receiving fault information uploaded by equipment, wherein the fault information comprises the identification of the equipment; obtaining the historical operation data of the equipment according to the identification of the equipment; judging whether the fault information is legal or not according to the historical operation data of the equipment; and processing the fault information if the fault information is legal. Therefore, the method not only achieves the automatic report of the fault of the equipment, but also can carry out the verification and processing of the reported fault information of the equipment according to the operation data of the equipment, achieves the automatic processing of the fault of the equipment, improves the fault processing speed and efficiency of the equipment, reduces the waiting time for a user, and improves the user experience.

The invention discloses an intelligent classification method of a complaint work order based on a convolution neural network. The invention comprises the following steps: step S1, collecting the textdata of the complaint work order, and constructing the text data set of the work order; step 2, performing word segmentation and cleaning on that text data of the complaint work order; 3, extract feature words and carry out quantization processing; step 4, train a convolution neural network to construct a classification model; Step S5: word segmentation and cleaning of the complaint work order text data to be classified and tested; Step S6: Converting the complaint work order text data to be classified and tested into vector representation; Step S7: Input the vector representation into the classification model. The invention realizes intelligent classification of the complaint work order by collecting the text data of the complaint work order in batch, cleaning and pretreating the data, training the classification model through the convolution neural network, inputting the vector representation into the analysis model, accelerating the processing speed of the complaint work order, andimproving the customer satisfaction and the service quality.

System, methods and electronic devices aimed at motivating users to perform physical activity are disclosed herein. A user may be presented with a series of physical and cognitive exercises. For example, an exercise may be locked until completion of an unlocked exercise. Performance in each exercise may be tracked to display feedback to a user and track the user's improvement over time. Physical exercises may comprise challenges to move a particular distance or take a particular number of steps. Cognitive exercises comprise techniques test or train the cognitive abilities of the user in: attention, memory, processing speed, logical reasoning, numerical reasoning, spatial reasoning, verbal reasoning, language, and cognitive executive functions. Performance in one exercise may modify the difficulty or parameters of a subsequent exercise. The tracking of user improvement may comprise a progress or reward system such as the increasing of a user's “level” or awarding of “badges.”

The invention relates to a firewall technique, and particularly discloses a method for service matching of messages by means of an access control list (ACL). The method includes that a firewall classifies all IP addresses of the messages, the IP addresses of N types are obtained, the ACL is respectively distributed for the IP addresses of N types, N ACLs are obtained, and the N ACLs respectively record service types which need to be executed by the messages corresponding to the IP address of each type. When receiving the messages, the firewall finds the corresponding ACL in the N ACLs for matching according to the IP addresses of the messages, and therefore the service types which need to be executed by the messages are obtained. The firewall sends the messages to a corresponding service processing module for processing according to the service types which need to be executed by the messages. By means of the technical scheme, when the firewall processes the messages, the ACL needs to be matched only once, and therefore people can know what services the messages need to carry out. By means of the method, the speed of processing the messages is greatly increased.

The invention provides a method and a system for order distribution in an electronic commerce website and belongs to the electronic commerce technology field. The method comprises steps that an address written by a customer is acquired, supply chain sourcing is carried out to acquire a shipment place and a corresponding storage location, and a dispensing area logistics code is acquired through address analysis; dispensing schemes are acquired according to the shipment place, the corresponding storage location and the dispensing area logistics code and are provided for the customer for choice; the dispensing scheme chosen by the customer is acquired, the order information is confirmed, an order is generated, and the order is distributed to the shipment place and the corresponding storage location for logistics dispensing. Through the method, the processing speed and processing efficiency of the order can be improved, different demands of different clients with dispensing time efficiency can be satisfied, and network shopping experience of the customer is improved.

The invention discloses a semantic processing server and a method used for semantic processing, and belongs to the technical field of information processing. The method includes obtaining speed recognition information; analyzing semantic information in the speed recognition information; generating understanding information including semantic intention according to the semantic information; and sending the understanding information to a corresponding function module according to the classification of the semantic intention. According to the abovementioned technical scheme, speed recognition information is obtained, through analysis of the semantic information in the speed recognition information, the understanding information including the semantic intention is generated, and is sent to the corresponding function module according to the classification of the semantic intention to be processed, thus understanding processing of speed recognition information of a robot can be realized, storage of a large amount of speech information in a database of the robot is not needed, and the processing speed of the robot is improved.

This invention discloses a processing method and a system for auction data which reduce calculated amount and improve processing speed. The processing method comprises steps of receiving auction requests and obtaining auction data from the obtained auction requests, synchronically cache the auction data in the memory and updating statistic data according to the auction data after the auction data is obtained, and reading the auction data in batch quantity, settling and persisting the settled auction data to a database. The processing system comprises a network application module, a memory cache application module and an asynchronization settlement module. The processing method and system for auction data disclosed by the invention doesn't require complicated business logic calculation, has fast processing speed, update the statistic data timely during the auction process by utilizing the memory and gives full play to the processing capability of the computer in the auction data processing system.

The application provides an access control method, a device and a system. In the scheme, request forward equipment acquires an access request sent by a business service cluster, and determines a business server corresponding to an access parameter carried by the access request according to a mapping relation of the preset access parameter and the business server, wherein each access parameter only has the mapping relation with one business server; the access request is forwarded to the business server corresponding to the access parameter so that the business data can be read from the memory by the business server when the business data is stored in the memory of the business server; and the business data is read from a database when the business data is not stored in the memory, and the business data is stored in the memory. By use of the scheme provided by the application, the data query pressure of the database in the storage cluster can be lowered, and the speed of processing the business access request by the business service cluster is improved.

The invention relates to the field of network data management, in particular to a device and a method for collecting and processing network information. The device and the method aims to solve the problems of the low processing speed of acquisition and processing of the network information and poor stability of the overall system. The device for collecting and processing the network information consists of a configuration management module, a real-time data acquisition module, a real-time data processing module, a data buffer module and a data storage module, and has the advantages of loose coupling, high expansibility and convenience for maintenance. According to the method for collecting and processing the network information, the real-time data acquisition module allocates an acquisition task to N programs by using a distributed cluster acquisition plan and a configuration strategy, and the real-time data processing module calculates and processes a large amount of collected data by using a distributed streaming calculation frame and N programs, so that the speed of processing the data is increased.

The invention discloses a method and a system for processing tree structure data, which solve the problem that the speed of processing and displaying the tree structure data by means of recurrent traversal is slow. The method of the invention comprises the following steps that: information which is used for identifying data hierarchy incidence relations is recorded in node data; all node data of the same tree is read; data lists are obtained after sorting of the node data according to the data hierarchy incidence relations; all the lists are scanned in sequence and outputted, wherein, the data incidence relations are expressed by combination of numeric / alphabetic characters and non-numeric / non-alphabetic characters. The invention can quickly display the tree structure data by traversing the data lists at a time, thereby not only the processing efficiency of the system is improved and the development complexity of data display is reduced but also realization is very simple.

A feature point positioning apparatus positions a plurality of feature points for a predetermined pattern in image data. The apparatus selectively executes first candidate decision processing which decides position candidates of the feature points and second candidate decision processing which decides position candidates of the feature points at a higher processing speed than the first candidate decision processing in accordance with an operation mode, and executes, when the operation mode is a high-speed mode in which an operation is executed at a higher speed than a normal mode, the second candidate decision processing for more feature points than in the normal mode; and corrects the position candidates of the plurality of feature points obtained by the first candidate decision processing and the second candidate decision processing based on a layout relationship among the plurality of feature points.

The invention relates to an IT system event standardization realization method. Messages of different protocols and content are converted into standard messages; the standard messages are matched with a rule library; and the standard messages are identified as standard events by applying the rule library through key attribute characteristics of the standard messages. The method comprises the following specific steps of previously regarding original messages sent by different protocol packages as an attribute set; extracting all attribute data; performing storage in a unified key-value format, wherein the messages stored in key-value are the standard messages; then extracting key fields of the standard messages; identifying protocol types adopted by the messages by applying the rule library; according to the protocol types, applying corresponding rules, wherein key attributes required to be matched and expressions for extracting key field information are defined in the rules; and when the content in the original messages is changed, adjusting a rule file without code modification, so that the flexibility and accuracy are greatly improved and the processing speed is increased.

A method of compressing video data having at least one frame having at least one block and each block having an array of pixels is provided. The method transforms the pixels of each block into coefficients and creates an optimal transmission order of the coefficients. The method also optimizes the speed of processing compressed video data by partitioning the data bitstream and coding each partition independently. The method also predicts fractional pixel motion by selecting an interpolation method for each given plurality or block of pixels depending upon at least one metric related to each given block and varies the method from block to block. The method also enhances error recovery for a current frame using a frame prior to the frame immediately before the current frame as the only reference frame for lessening quality loss during data transmission. Enhanced motion vector coding is also provided.

The present invention relates to a survey task allocation method and device. The method comprises the following steps that: a survey task to be allocated is obtained; first accident location information is extracted from the survey task to be allocated; a plurality of logged-in surveyor accounts in a region to which the first accident location information belongs are inquired; working states corresponding to each of the surveyor accounts are detected; estimated arrival time corresponding to each surveyor account is determined according to the working states; a surveyor account which is corresponding to shortest estimated arrival time is selected from the plurality of surveyor accounts; and the survey task to be allocated is allocated to the selected surveyor account. With the survey task allocation method and device provided by the invention adopted, the survey task can be handled in the shortest time, the handling speed of the survey task can be improved, time for a client to wait for the handling of the survey task can be decreased, and the handling efficiency of the survey task is improved.

The invention discloses a preference space Skyline query processing method based on a Spark environment. The method comprises a space Skyline query processing algorithm based on a preference functionand a space Skyline query processing algorithm based on preference priority. The method is scientific and reasonable;use is safe and convenient, the method comprises the following steps: through the effect of a space Skyline query processing algorithm based on a preference function; the spatial attributes and the non-spatial attributes of the data are integrated, and the data which does not meet the preference of any query point is filtered by utilizing the correlation, so that the size of a data set is reduced, the processing task amount is further reduced by utilizing the grid dominant relationship, and the query processing speed is increased; skyline query processing algorithm based on preference priority is used for clustering spatial data, keywords with high occurrence frequency in the class are used as text feature information of the whole class, and meanwhile, an extended R-tree index is established for spatial objects in the class; efficient space searching and filtering capabilities of the extened R-tree index are dominated and judged, so that Skyline query processing is accelerated.