170 results about "Quality optimization" patented technology

A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate.

The invention discloses a high-precision urban three-dimensional modeling method integrating an airborne LIDAR (Laser Intensity Direction And Ranging) technology and a vehicle-mounted mobile laser scanning measurement technology, comprising the following steps of: firstly, acquiring high-precision three-dimensional laser point clouds and high-resolution digital aerial photos of a measuring region by adopting airborne LIDAR, fast extracting a high-precision digital elevation model and a digital orthoimage product, carrying out high-precision modeling on a building to make the scenes of an urban three-dimensional electronic sand table and an urban three-dimensional building body frame model; secondly, completing the acquisition of the high-density laser point clouds and high-precision digital photos of urban scenes positioned at both sides of a road of the measuring region by adopting vehicle-mounted mobile laser scanning measurement, carrying out the quality optimization of vehicle-mounted data by referring to airborne LIDAR results, and then fast carrying out three-dimensional modeling on various urban piece elements; and finally integrating three-dimensional digital model results acquired through the airborne LIDAR and the vehicle-mounted mobile laser scanning measurement, therefore the quality and the work efficiency of the urban three-dimensional modeling are greatly enhanced. The invention can greatly reduces the development cost of projects.

The invention discloses a system for improving the in-vehicle moving sound sensing quality of an electric vehicle. The system consists of a vehicle state detection module (1), a waveform storage module (2), a waveform processing module (3), a sound output module (4), an in-vehicle noise collecting module (5) and a central processor (6), wherein the waveform storage module (2) sends engine waveform signals corresponding to the vehicle state according to signals collected by the vehicle state detection module (1), and the central processor (6) uses the in-vehicle moving sound sensing quality optimization as the control strategy according to in-vehicle noise signals collected by the in-vehicle noise collecting module (5), controls the waveform processing module (3) for processing the waveform and transmits the signals to the sound output module (4) for improving the in-vehicle moving sound sensing quality. The system has the advantages that the system belongs to a sound producing system used for compensating different engine sound under different running work conditions of pure electric vehicles, so the in-vehicle moving sound sensing quality of the electric vehicle is improved.

A method to predict visual quality of a DCT (discrete cosine transform) based compressed image or video stream without referring to its source. When applied to an MPEG video stream, the method is based on (1) an estimation of quantization errors using MPEG quantization scales and statistics of the inverse quantized DCT coefficients, (2) a blind estimation of the 8×8 and 16×16 blocking effect, and (3) an adaptive combination of the quantization error estimation and the blocking effect estimation using the MPEG motion vector information. The method may be used in many applications, such as network video servers, switches and multiplexers for automatic quality monitoring and control of video services, video encoders, decoders, transcoders, and statistical multiplexers for picture quality optimization.

A system and method for determining the early life reliability of an electronic component, including classifying the electronic component based on an initial determination of a number of fatal defects, and estimating a probability of latent defects present in the electronic component based on that classification with the aim of optimizing test costs and product quality.

The invention discloses a precision machine tool mass matching design method based on a response surface and a genetic algorithm. The method includes the steps that all parameters of a machine tool structure to be analyzed are extracted to set up a kinetic model of the machine tool structure; the structure of a complete machine tool is analyzed in a kinetic mode according to the kinetic model of the machine tool structure; taking the highest first-order inherent frequency of the complete machine tool and the highest dynamic stiffness in the X, Y and Z directions as the design objective, mass matching design is performed on big parts of all supporting structures; the dynamic properties, before and after mass matching optimization, of the structure of the whole complete machine tool are compared and analyzed through a finite element method, and effectiveness mass matching design is verified. Compared with the prior art, the precision machine tool mass matching design method can efficiently and rapidly estimate the dynamic properties of the structure of the whole complete machine tool in the design stage of a machine tool scheme and can plan the optimum mass relation among the big parts of all the supporting structures with the optimum dynamic properties of the structure of the whole complete machine tool as the objective; the design method is suitable for mass matching design for the big parts of all the supporting structures of the precision machine tool and plays a good role in guiding the mass design for the big parts of the supporting structures of the machine tool.

Thermomechanical pulp is an important process for producing fibrous mass used in papermaking. A two-level control strategy that stabilizes and optimizes the refining process has been developed. The Stabilization layer consists of a multivariable model predicative range controller that regulates the refiner line operations. The Quality Optimization layer provides the pulp quality control as measured by an online pulp quality (freeness, fibre length) sensor. This control startegy leverages the natural decoupling in the process. The modular design technique is able to handle multiple refiner lines that empty into a common latency chest. A global optimizer is also used to integrate and coordinate the two layers for enhanced constraint handling.

A system and method for optimizing a video stream from a high frame rate image sensor. The high frame rate video stream is split into two separate video streams so that one video stream can be shown to a user or recorded, while the other video stream can be processed. The processed video stream can be analyzed for sharpness to adjust for focus or it can be imaged with or without an optical filter and used to enhance the appearance of the other video stream.

There is provided a module for implementing handoff and / or quality optimization of a network protocol stack (308). The module is transparent to the network protocol stack (308) and an application (306) using the network protocol stack (308). The module includes session detector (402) and an auxiliary manager (410). The module may further include a request interceptor (404), a request analyzer (406) and controller (408). The session detector (402) detects an original session from a host to a remote host. The auxiliary session manager (410) opens and manages a plurality of auxiliary sessions to support the original session. The request interceptor (404) detects an original request issued by the application, wherein the original request is for retrieving certain content. The request analyzer (406) analyzes the intercepted original request. The controller (408) uses the original session and auxiliary sessions to retrieve the content based on the result of the analysis.

The invention provides a 3D printing in-situ repairing system for metal part damage and a repairing method thereof. According to the 3D printing in-situ repairing system for metal part damage and therepairing method thereof, rapid in-situ repairment can be carried out on the damage of parts of a high-speed train, the repairing quality is good, and the efficiency is high. The repairing system comprises a mechanical arm, a laser-TIG composite welding gun, a wire feeding device, a space scanning camera shooting device, a printing path design device, an interlayer temperature monitoring device, an interlayer quality control device and a control terminal, wherein the laser-TIG composite welding gun and the wire feeding device are installed at the tail end of the mechanical arm, the space scanning camera shooting device comprises a laser contour scanner for carrying out three-dimensional outline scanning on the defect portions of the parts, the printing path design device is used for acquiring three-dimensional outline data of the defect portions of the parts, setting the layer thickness of a layer to be printed, determining the printing starting point for the layer to be printed and determining the printing path of the layer to be printed, and the interlayer quality control device comprises an interlayer temperature control sub-device and a cladding layer quality optimization sub-device.

The invention relates to a fault-tolerance rate distortion optimization video coding method and a fault-tolerance rate distortion optimization video coding device based on subjective visual structure similarity (SSIM) evaluation. The method comprises the following steps that: the SSIM is used as the distortion evaluation standard to be combined with information feedback of signal channels, and the end-to-end distortion estimation based on the SSIM evaluation is carried out at the coding end; the bit number required by the coding node is calculated according to the in-frame or inter-frame coding mode; the video fault-tolerance coding rate distortion optimization is carried out through calculating fault-tolerance Lagrangian factors, and the optimum coding mode is found under the condition of easy-to-fail network transmission. The method and the device provided by the invention solve the problem that the distortion evaluation in the traditional combined signal source signal channel video coding does not perfectly conform to the human visual characteristics. Meanwhile, the objective distortion estimation caused by signal channel transmission is introduced in the signal source code, the objective distortion transmission influence caused by errors can be inhibited, and the video coding technology adapting to the objective visual quality optimization of the fault-tolerance rate distortion optimization of the signal channel transmission is formed.

The invention relates to a biogas slurry resource recycling treatment method and treatment system; the treatment method includes the treatment processes of adjusting pond treatment, pretreatment, solid-liquid separation, multistage membrane concentration treatment, multi-effect evaporation, finished product sterilization packaging and cleaning and sewage treatment operation. Ordinary biogas slurry can be filtered and concentrated into an efficient organic liquid fertilizer product, the purpose of circular use of resources is achieved, moreover, the filtrate is up to standard and discharged or reused, the scope of use is expanded, high added value utilization of the biogas slurry is achieved, environmental pollution is also avoided, additional addition of substances is not need, and the product quality optimization can be ensured; and the diversity of the product is achieved.

The invention discloses a voice quality optimization method comprising the following steps: counting poor-quality cells; comprehensively analyzing the cause of each poor-quality cell based on a variety of data sources; clustering the causes of the poor-quality cells; and merging the poor-quality cells applicable to similar solutions based on the cause cluster, and carrying out batch-processing for the same cause. The invention further discloses a voice quality optimization device. By adopting the technical scheme of the invention, the problem that there is no systematic analysis means for traditional poor-quality problem processing and the efficiency is low is solved, poor-quality cells with voice quality problems in a mobile communication network can be counted out, the causes of the problems can be analyzed quickly and positioned accurately, a wireless network can be optimized quickly, and the voice quality of the mobile network is improved.

A layout generating apparatus and a layout generating method to obtain high-quality optimization results (improvements in operation speed and the degree of integration and a reduction in power consumption). Specifically, there are disposed input data storage part (1), before-compaction layout generating part (2), first compaction processing part (3), second compaction processing part (4), third compaction processing part (5), mid-course-processing data storage part (6), channel-width optimization processing part (7), layout optimization processing part (8), output data storage part (9), and control part (10). The operations of all the mentioned parts are controlled by the control part (10).

An apparatus and method thereof include a service support node. The service support node is configured to read an override feature defined therein by an operator indicative of whether a maximum bitrate requested by a mobile station is to be used in a quality of service negotiation or whether the maximum bitrate from a register is to be used in a quality of service negotiation.

The invention discloses a high-precision three-dimensional city modeling method, and relates to the field of modeling. The method is characterized in that firstly high-precision three-dimensional laser point cloud and high-resolution digital aerial photos of a measurement area are acquired by using airborne LIDAR, and high-precision digital elevation models and digital orthoimages are rapidly extracted and high-precision modeling of buildings is performed so that a three-dimensional city electronic sand table and three-dimensional building object frame model scenes are manufactured; secondly, acquisition of the highly dense laser point cloud and the high-resolution digital photos of the city scenes on the both sides of the measurement area is completed by using vehicle-mounted mobile laser scanning measurement, vehicle-mounted data quality optimization is performed by reference to the airborne LIDAR result and then three-dimensional modeling is rapidly performed on various types of sketch elements of the city; and finally the three-dimensional digital model results acquired by airborne LIDAR and vehicle-mounted mobile laser scanning measurement are integrated so that the quality and the working efficiency of three-dimensional city modeling can be greatly enhanced, and the project development cost can be greatly reduced.

A user-channel-quality-based collaborative user selection method for source users is applicable to the technical field of uplink directional collaborative communication system of LTE (Long Term Evolution) of wireless communication 3GPP (3rd Generation Partnership Project) and is characterized by sequentially computing respective SNRs (signal to noise ratio) of a source user and a collaborative user and energy gains between the source user and the collaborative user; selecting the user with the largest energy gains as an alternative collaborative user; and then under the condition that the energy gains are guaranteed to be the largest, investigating the SNR between the collaborative user and a base station and performing matching optimization of optimal collaboration users to select out a collaborative user with an optimized channel condition and the best forwarding effect. The user-channel-quality-based collaborative user selection method for the source users has the advantages of utilizing the method of channel quality optimization to comprehensively consider the channel conditions of the collaborative users and changes of corresponding SNRs and energy gains, achieving the optimal matching of source users and collaborative users in a system and guaranteeing the objective optimization of collaborative user selection.

The invention discloses a network quality optimization method and device. The method comprises: detecting multiple types of currently available VPN connections; adopting a preset network quality assessment algorithm to perform network quality assessment on the network quality corresponding to each type of VPN connection; determining a current network connection channel according to the network quality assessment result, wherein the current network connection channel is a first VPN connection with the optimal network quality among the various types of VPN connections; determining a second VPN connection with the optical network quality in the various types of VPN connections as a current network connection channel except for the first VPN connection when it is detected that the current network connection channel is faulty. The network quality optimization method and device can automatically select a VPN connection with the optimal network quality while the current connection channel fails, thereby achieving smooth switching between multiple types of available VPN connections, and ensuring that the current network channel is always in a smooth state.

The invention discloses a method and device for online predicting and optimizing product quality in the steel rolling production process, and relates to the technical field of quality prediction and optimization. The method comprises the steps that the data of all steel rolling production processes of a connection site control network are collected, and the current production operation data of all the steel rolling production processes are acquired; current product quality index data corresponding to the current production operation data are predicted according to the current production operation data; preset target product quality index data are compared with the predicted current product quality index data, and the optimal operation conditions of all the steel rolling production process are found out according to the comparison result; the production operation data of all the steel rolling production processes are correspondingly adjusted according to the optimal operation conditions of all the steel rolling production processes, so that the product quality of steel rolling production is optimized. According to the method and device, various operation variables in the product production process are controlled in real time, and products in the steel rolling production process are subjected to real-time and effective quality control and quality optimization.

The voice quality optimization system includes a controller that controls voice quality by adjusting parameters that control voice quality characteristics of the communication device; and a measuring unit that measures voice quality of the communication device and transmits the measured voice quality as a feedback to the controller. The controller controls voice quality by calibrating the parameters of the communication device, including a receiving sensitivity / frequency response characteristic curve, receiving loudness rating and idle channel noise-receiving. A method for setting voice optimization in a communication device includes measuring parameters of the communication device, determining whether the parameters of the communication device are within a target range, and calibrating a first parameter to be within the target range if the first parameter is outside the target range.

The invention discloses a quality optimizing process for vacuum heat treatment of H13 steel, comprising the steps of: heating and heat preserving, quenching and tempering. In the quenching process, the quenching medium is 5-10% brine, and the processing part is cooled in a quenching tank to room temperature and tempered. The process can effectively improve the quenching hardness and impact ductility of a H13 steel mould, so that the mould is more durable, the service life is extended. The process has considerable practical value and economical value.

The invention provides a wireless local area network quality monitoring method, device and system. The method comprises that: message processing information and number of terminals reported by each wireless access point AP are acquired; network quality parameters are acquired according to the message processing information and the number of terminals reported by each wireless access point AP; and when the network quality parameters reach the preset trigger threshold, performing of network quality optimization is prompted. With application of the wireless local area network quality monitoring method, device and system, network quality of a wireless local area network can be timely monitored so that the WLAN can be timely optimized and network quality can be improved when network quality deteriorates, and thus network stability is ensured and user experience degree is enhanced.

The invention relates to convenient additive-free five-cereal nutritional noodles and a processing method thereof, and belongs to the field of food processing. The processing method comprises the following steps: performing quality optimization treatment on corns and black beans, grinding together with wheat, polished round-grained rice and yellow millets, blending, and performing curing forming to obtain the convenient five-cereal nutritional noodles. The obtained five-cereal nutritional noodles give full play to complementary nutrition advantages of rice, flour and beans, are endowed with relatively high nutritional value, are good in elasticity, toughness and reconstitution properties, do not need to be digested, can be eaten after being soaked with boiling water, and are convenient and quick; the process conditions are mild, no chemical and biosynthetic technologies are adopted, no pollution, waste residue, waste steam, waste water or harmful substance is generated, green production is realized, no gluten fortifier, thickening colloid, enzyme preparation or preservative is added, and no chemical reagent is used, so that the noodles are safe to eat.

The invention discloses a primary station data quality optimizing method for an intelligent power grid dispatching technical support system. The method comprises the following steps that a primary station acquires transformer station data from multiple communication channels, selects a current data source according to a set priority and generates data point CIM / E files of the current data source; a transformer station generates data point CIM / E files periodically and sends the files to the primary station through an independent communication channel; the data point CIM / E files of the primary station and the data point CIM / E files of the transformer station are compared for verification; when the verification result is normal, normal data are displayed on a dispatching frame of the primary station; otherwise, data sources acquired from multiple communication channels are retrieved; a next data source with a relatively low priority is acquired to serve as the current data source; data point CIM / E files of the current data source are generated; and comparison for verification according to the above-mentioned step is further performed until the verification result is normal. The method which can prevent data inconsistency between the primary station and the transformer station effectively improves the primary station data quality of the intelligent power grid dispatching technical support system.

The invention discloses a laser point cloud and aerial image integrated building three-dimensional modeling method. The method comprises the following steps: acquiring the laser point cloud and the aerial image of a building by adopting an airborne laser device, making a highly-precise digital elevation model DEM and a digital orthoimage DOM product, carrying out highly fine modeling on the building, making the three-dimensional electron sand table and the three-dimensional frame model of the building, carrying out vehicle-carried data quality optimization, carrying out essential factor three-dimensional modeling by using the airborne laser device, and integrating three-dimensional digital model accomplishments acquired through measurement using the airborne laser device and a vehicle-carried mobile laser device. The method fully utilizing and fusing an advanced laser point cloud technology and an aerial image technology can efficiently carry out three-dimensional panoramic laser scanning and modeling on the building to obtain clear and highly-precise practical construction three-dimensional data of the building, so the data acquisition efficiency and the data acquisition quality are greatly improved, the automatic degree of data processing is high, and the whole production efficiency of three dimensional modeling is improved.

A system and method are provided for a WiFi network including multiple access points, each access point including an antenna having a plurality of modes corresponding to a plurality of radiation patterns, respectively, or an antenna system including a plurality of antennas having a plurality of modes corresponding to a plurality of radiation patterns, respectively, and a processor implemented with an algorithm. The algorithm is a computer program having instructions for performing steps to optimize signal quality for multiple devices linked to the WiFi network.

The invention provides an image reconstruction method and device based on a progressive convolution measurement network, and belongs to the technical field of image reconstruction. The method comprises the following steps: firstly, carrying out progressive convolution operation on an original image through a plurality of downsampling layers, and then generating a corresponding number of feature maps meeting a given measurement rate through a downsampling feature extraction layer; Carrying out progressive deconvolution operation on the feature map through a plurality of upper sampling layers corresponding to the plurality of lower sampling layers, and generating a preliminary reconstructed image consistent with the original image in size through an upper sampling feature extraction layer; And finally, carrying out quality optimization training on the preliminary reconstructed image by using a residual convolutional neural network to obtain a final feature map, and carrying out error processing on the final feature map and the original image to obtain a final optimized reconstructed image. According to the method, the image is sampled and reconstructed end to end, the reconstructionspeed is high, the block effect in the reconstructed image is eliminated especially at an extremely low measurement rate, and the image quality is obviously improved.

The invention relates to the technical field of computers, in particular to a data center resource offline scheduling method based on deep reinforcement learning. The deep reinforcement learning can provide a feasible alternative scheme for a human heuristic method of resource scheduling management. Through continuous learning, the deep reinforcement learning method can optimize the specific working loads (such as periodic loads or random loads) and maintain high-quality optimization scheduling results under various conditions. And by taking the minimum average operation slowdown (system slowing down time) as an optimization target, and calculating a reward value of each scheduling in offline scheduling, the deep network is guided to be optimized towards the target and finally to be trained towards the optimal target. Results show that in a large number of tests in the embodiment of the invention, the slowdown of the offline scheduling method using the deep reinforcement learning is far lower than the SJF (shortest job priority algorithm) and other traditional optimized job scheduling methods, and the advantages of the deep reinforcement learning method in the field are embodied.

An adhesive tape processing device comprises an unwinding core fixing shaft, a conveying system, a slitting system, a rewinding system and a rewinding protection system, wherein a to-be-processed adhesive tape is unroll step by step through rotation of the unwinding core fixing shaft; the conveying system is used for conveying the unroll to-be-processed adhesive tape; the slitting system is used for slitting the to-be-processed adhesive tape into a plurality of adhesive tapes with smaller breadths in the direction opposite to the conveying direction; and the rewinding system is used for rewinding the slit adhesive tapes on a core to form finished adhesive tape products. According to the adhesive tape processing device, automatic production operation is realized, the product quality optimization is guaranteed in each link of the adhesive tape production, the product quality is improved, the danger in the production process can be avoided, and the adhesive tape processing device has high wide popularization values.