158results about How to "Slow processing" patented technology

A fully integrated automated laser weld process control system (LWPCS) and method of controlling the fabrication of structural parts, particularly for shipbuilding and other industries. The LWPCS defines joint and weld quality attributes as process control variables and integrates these weld quality variables, along with the more traditional process parameters such as laser power, wire feed, GMAW voltage and active seam tracking, into a closed-loop monitoring and control system. The LWPCS includes a central processor and a plurality of subsystems that control laser beam positioning, vision-based monitoring and image processing, active weld-quality monitoring and inspection, adaptive beam delivery, and seam tracking. Cross-communication between subsystems is managed by the central processor. In addition to process control, the system extracts weld quality attributes during the weld process and provides immediate documentation of the weld quality.

A smart card and a settlement terminal are provided by which, when common-key cryptography is used for value transfer between smart cards, the security of the whole system can be improved by enabling easy updating of a cryptographic key used for the value transfer. A smart card transmits/receives value data to/from another smart card. The smart card includes an information accumulating unit for accumulating value data, a transfer key used to update the value data, and an update key used to update the transfer key; a communication unit for receiving a transfer key encrypted by use of the update key, the transfer key being transmitted from another smart card; and an arithmetic processing unit for decrypting the encrypted transfer key by use of the update key to update the transfer key accumulated in the information accumulating unit by use of the decrypted transfer key.

Disclosed is a power distribution unit and power management architecture employing such power distribution unit. The power management architecture includes a remote power management system for managing a plurality of power appliances, and a plurality of power distribution units each of which is provided with wireless network connectivity. With the wireless network connectivity, the remote power management system and the power distribution units constitute a mesh link network for two-way data transmission. In operation, the remote power management system transmits a first profile to the power distribution units to allow the first control unit of the power distribution unit to real-timely control the operation of the power distribution units according to the management policy and/or the management principle recorded in the first profile.

The invention discloses a fuzzy rough set-based sleeping posture pressure image recognition method. The method is characterized by comprising the following steps: 1, data acquisition is carried out, and real-time pressure data detected by a pressure sensitivity sensor array located below a sleeping position are acquired; 2, image conversion is carried out and the real-time pressure data acquired in the first step are converted into a pressure image; 3, image pretreatment is carried out on the pressure image obtained in the second step; 4, image feature extraction is carried out, that is, feature extraction is carried out on the pressure image through image pretreatment, and the extracted feature values form a feature set for single pressure images; and 5, a fuzzy rough set method is adopted to process the image features extracted in the fourth step for realizing sleeping posture recognition.

The invention provides a method for quickly detecting a shot boundary, comprising the following steps that: firstly, a video frame inside a lens is removed from an original frame sequence OFS to obtain a recorded frame sequence RFS according to changes of a brightness variance feature of the video frame; meanwhile, a partial lens gradation existed in a video is determined according to a concave shaped parabola of the brightness variance feature; then, a pixel pair difference, a color histogram difference feature, an edge histogram difference feature and so on are selected from the RFS as accordances for a video continuity detection; then, a support vector machine is adopted to perform a shot cut detection; finally, the shot cut detection is performed for the rest video sequence by adopting a method of reducing temporal resolution. The method for quickly detecting a shot boundary improves the processing speed for the shot boundary detection, and guarantees a recall ratio and the accuracy of an operation at the same time.

An image forming apparatus executes a print job at an initial processing speed and switching the initial processing speed to a delayed processing speed lower than the initial processing speed upon detecting occurrence of a specific condition under which continuing the print job at the initial processing speed is determined not possible. The image forming apparatus acquires a print job targeted to be executed; estimates a processing time to be taken to complete the target print job at each of a plurality of processing speeds selected as candidates for the initial processing speed; and determines, as the initial processing speed, one of the candidate processing speeds that corresponds to the shortest processing time among the processing times estimated by the estimator.

The invention particularly discloses a visual identification-based precise shaft size measurement method, apparatus and system. The method comprises the steps of establishing a mapping relationship between a pixel size and an actual spatial geometric size of a to-be-measured precise shaft; obtaining multiple to-be-spliced precise shaft images; building a conversion model between a reference imageand the to-be-spliced images to perform conversion; based on CS and NSST algorithm combination, performing splicing on the converted to-be-spliced images, and performing fusion to form a whole image of the to-be-measured precise shaft; and for the fused whole image, performing pixel level edge tracking and preliminary locating by using a multilevel filtered interested edge detection method firstly, then based on Sobel operator and least square curve fitting combination, obtaining sub-pixel-precision edges, and according to the detected edges and the mapping relationship, calculating the spatial geometric size of the to-be-measured precise shaft. According to the method, the apparatus and the system, the image splicing data processing amount is effectively reduced; the detection efficiencyis improved; and real-time online detection can be performed.

The invention provides a dual-mode masked man event automatic detection method based on video characteristic statistics. The dual-mode masked man event automatic detection method comprises the steps of: zooming a video frame and converting the video frame into a grayscale image after acquiring a source video image, acquiring a maximum object motion foreground rectangular frame, positioning a head region coarsely, acquiring face position information, then estimating a mouth region within the obtained face range, cutting the mouth region to narrow a range, calculating a gradient map, primarily judging whether a person is a masked man through calculating number of connected domains on the basis of the obtained gradient map, and calculating proportion of the areas of the top two connected domains for further judging whether the person is a masked man. The dual-mode masked man event automatic detection method based on video characteristic statistics does not have specific requirements for a video scene, is simple and efficient in the calculation method, can perform real-time processing, can be applied to real-time investigation and case solving, saves suspicious masked man information, and can provide first-hand information for evidence collection after a crime is committed.

The invention relates to a sleeping posture pressure image identification method based on an HOG characteristic and machine learning. The method is characterized by comprising the following steps of performing data acquisition, namely acquiring real-time pressure data which are obtained through detection when a user functions on a large-area flexible pressure sensor array mattress; performing image conversion, namely converting the real-time pressure data which are acquired in the first step to a pressure image, wherein the step comprises procedures of establishing the image in which the image coordinate is same with sensor array distribution, and converting the pressure number which is acquired on each sensor to the gray scale of the pixel on the corresponding image coordinate, thereby obtaining the pressure image which reflects pressure distribution on the sensor array; performing image pre-processing; performing image HOG characteristic extraction, namely performing HOG characteristic extraction on the pressure image which is pre-processed in the third step, thereby obtaining an HOG characteristic set of the sleeping gesture pressure image; and performing sleeping gesture identification based on machine learning.

The invention provides heterogeneous network protocol standard knowledgeware, a cloud monitoring and management system and a method. The heterogeneous network protocol standard knowledgeware comprises a heterogeneous protocol library, a standard communication interface, a processor, a packaging unit and an embedded web release unit. The heterogeneous network protocol standard knowledgeware, the cloud monitoring and management system and the method have the advantages as follows: the heterogeneous network protocol standard knowledgeware is deployed for each network node, adopts a standardized input mode and is compatible with more types of intelligent devices; the heterogeneous network protocol standard knowledgeware adopts a standardized output mode, so as to bring convenience for cloud deployment; in addition, the heterogeneous network protocol standard knowledgeware adopts the heterogeneous protocol library and a multi-thread processing mechanism, so as to effectively reduce the processing speed of a cloud management server, improve the data acquisition and processing speed, and realize real-time monitoring for all intelligent devices.

The invention discloses a lightweight processing method for a product model. The method comprises the steps of analyzing the product model and acquiring a characteristic set of the product model; according to a preset lightweight policy, determining deletable characteristics in the characteristic set; and deleting the deletable characteristics, reserving a geometric structure characteristic and a size characteristic of the product model, and generating a lightweight product model with the same shape structure as the product model. According to the lightweight processing method and apparatus for the product model, the characteristic removal processing can be performed, only a final boundary model structure is reserved, and the assembly level fusion processing can be performed, so that the model storage space can be greatly saved and the model processing speed can be greatly increased; and the lightweight processing of parts is automatically finished, so that the model can be assembled in a lightweight form, the complicated characteristics and the characteristic regeneration problem are avoided, and the working efficiency of designers is improved.

A network interface controller includes a first NIC connected to a LAN and a second NIC, which can proceed to a low power consumption status, connected to the first NIC via a bus. The first NIC includes a storing unit arranged to store response history information transmitted from the second NIC, a registration determining unit arranged to determine whether the received data has been registered in the response history information when network data is received and the status of the second NIC is the low power consumption status, a transmitting unit arranged to transmit response data registered in association with the received data when the received data has been registered, and an activation signal transmitting unit arranged to transmit an activation signal to the second NIC when the received data has not been registered.

The present invention provides a method for automatic obstacle avoidance of a robot, and this method comprises: according to a depth sensor, obtaining depth data of movable areas of a scene in which the robot lies in; according to a preset depth threshold value, binarizing the depth data; according to an average value or a sum value of binarization processing result of areas, identifying an area where the robot is farther away from an obstacle as a moving direction of the robot. In the present invention, since the depth data is collected, no measurement dead zone is prone to occur; moreover, calculating the average value or the sum value of the binarized depth data only needs to perform a simple comparison, the processing is simpler, the processing speed is fast, and the requirement of the system and the cost are lower.

A packet routing apparatus has a plurality of routing units, connected by a first connecting mechanism. The plurality of routing units comprise a first routing unit, connected to at least one port, and a second routing unit, connected to an extended function processor. The first routing unit transmits a packet, received from the port, to another first routing unit and/or a second routing unit. The second routing unit transmits the packet, received from the first connecting mechanism, to the extended function processor.

The invention discloses a method for detecting a lens in real time in fully automatic two-dimensional (2D) to three-dimensional (3D) technology. The method comprises the following steps of: reading a current frame; partitioning the current frame into a plurality of sub-blocks; counting inter-frame difference values and accumulated frame difference values of the plurality of sub-blocks relative to a previous frame; dynamically adjusting corresponding low threshold values and high threshold values of the plurality of sub-blocks according to the inter-frame difference values of the plurality of sub-blocks; and obtaining a lens detection result of the current frame according to the inter-frame difference values and the accumulated frame difference values of the plurality of sub-blocks and the corresponding low threshold values and high threshold values. The method has the advantages of giving the lens detection result of the current frame on line in real time, achieving a high recall ratio on the basis of ensuring a precision ratio and basically meeting the requirement of subsequent processing.

The invention discloses a data authentication method and device, electronic equipment and a computer readable storage medium, which are used for solving technical problems that a conventional authentication method can easily cause leakage of metering system information and user information and that the data processing speed of an authentication server is low. The method comprises the steps: receiving an authentication request sent by a third-party application; sending the user information to a server cipher machine, and receiving an authentication result returned by the server cipher machinefor the user information; sending the authentication result to a third-party application; when the authentication result is that the authentication is passed, receiving an authorization request sent by a third-party application, generating an authorization code based on the authorization request, and sending the authorization code to the third-party application; receiving an access token acquisition request sent by the third-party application based on the authorization code, and sending an access token to the third-party application based on the access token acquisition request. The security of the user information and the metering system information is improved, and the performance of the authentication server is improved.

The invention belongs to the organic polluted soil remediation field, and discloses a method for remedying DDT polluted soil by ultrasonic wave. The method comprises the following steps: organic polluted soil slurry in which the water content is 15%-95% and the initial concentration of the DDT is 100-100000mu g/kg is treated on the condition of ultrasonic irradiation, while the ultrasonic frequency is 20kHz-500kHz, the ultrasonic power is 50W-2.0kw, and the ultrasonic irradiation time is 1min-2h. In the invention, the cavitation effect and perturbation effect of the ultrasonic wave are used for degrading or reducing organic chloride pesticide pollutant in the soil like DDT. The method uses pumps to continuously transport soil slurry to ultrasonic reaction equipment, thus being easy for remediation of the polluted soil in site. Compared with the prior art in remediation of organic chloride pesticide polluted soil, the method in the invention is nearly not affected by pollutant categories and environmental condition, thus being applied in a wide range. The method is efficient with low consumption, low risk of secondary pollution, strong operation and has good social benefit and environmental benefit.

The method comprises: 1) setting a initial speed of processing call ticket, and based on said initial speed, sorting the call ticket of point-to-point short message; 2) setting a detection cycle, and detecting the running state information in each detection cycle; according to the running state information, deciding if it is in an alarming state; 3) based on an alarming state or on a non-alarming state, raising or lowering the processing speed.

The invention belongs to the field of high speed signal processing, and mainly relates to the design of a CIC filter based on parallel computation so as to improve the signal processing speed and the operation stability. The aim of the invention is to provide a CIC filter design method based on parallel computation and perform hardware implementation on the same. According to the CIC filter design method provided by the invention, a to-be-processed signal data stream Si is divided according to sections, i is not smaller than 0 and is not greater than N (N is a data length and can be an infinite length), and each section contains M data. Meanwhile reordered M paths of data are operated to operate the group of data within K1 time. The entire system works in a stream line manner, thereby being able to continuously work, and a group of M data is output within each clock. Finally, D-fold extraction is performed on the output data to obtain a subsequently expected extraction postprocessing speed. The parallel CIC filter herein works on a fcic speed, thereby improving the processing speed of the entire system.

Yarn processing system (S) for simultaneously processing a plurality of yarns (Y1) to (Y4) in a processing machine, such as a twisting machine, a texturising machine, or a dyeing machine. A yarn tensioning assembly is provided and has, for each yarn entering the processing machine (M), at least an individual controlled tensioner (6) and an individual tensiometer (10). The controlled tensioner (6)and the tensiometer (10) are integrated into a closed yarn tension feedback regulation loop (11) for regulating and maintaining a set yarn tension. The tensiometer (10) is connected in parallel to one superimposed common tension monitoring and setting system (19) for centrally setting and monitoring the yarn tension.

There is provided a security chip having a tamper-resistant feature, including an acquisition part configured to acquire specific information transmitted by a device performing challenge-response authentication, the specific information being specific to the device, a storage configured to store second key information that enables generation of first key information from the specific information, the first key information being used by the device for challenge-response authentication, and a generation part configured to generate, using the second key information, the first key information from the specific information. A response to be transmitted to the device is generated, using the first key information, from a challenge transmitted by the device. In the device, the first key information is not stored in a tamper-resistant security chip.