781 results about "Quality characteristics" patented technology

The present invention relates to methods for controlling a plurality of base stations in a mobile communication system comprising a communication terminal, the plurality of base stations and a control unit connected to the plurality of base stations, wherein the communication terminal is in a soft handover. Further, the present invention relates to methods for signaling uplink channel quality characteristics, that are considered when controlling the plurality of base stations. Finally, the present invention relates to a base station, the control unit and the communication terminal which are specifically adapted to perform the control method and the signaling method respectively. To reduce the signaling load on the wired interface between a base station and a control unit the present invention selects a serving base station based on uplink channel quality characteristics and controls one or more of the base stations except the serving base station not to transmit data via the wired interface.

The invention relates to a method for providing resources for adapting the routing process in response to the failure of a network element in a packet-oriented network. Barring checks that use thresholds are provided to control the volume of traffic in the network. Data packets are barred if their routing would otherwise mean the crossing of a threshold. According to the invention, the thresholds are defined by taking into account failure topologies or possible malfunction scenarios, to ensure that a corresponding malfunction does not lead to an overload in the network. Said definition of the thresholds allows resources to be provided or reserved to all intents and purposes for intercepting malfunctions. The advantage of the invention is that quality criteria can be upheld and quality of service features guaranteed, even during the malfunctions.

Apparatus and methods for determining a connection quality of a wireless device with a wireless communications network comprise a user manager operable to receive a plurality of communications messages as recorded by the wireless device, where the plurality of communications messages comprise messages transmitted from and received by the wireless device via the wireless communication network. Further, a connection quality module associated with the user manager is operable to generate a connection quality record comprising a connection quality characteristic based on a detection of a predetermined sequence of communications messages within the plurality of communications messages. Optionally, an optimization module may generate a configuration change for the wireless device and / or a network component based on the connection quality characteristic.

A first video signal is accessed, and represented in a first color space with a first color gamut, related to a first dynamic range. A second video signal is accessed, and represented in a second color space of a second color gamut, related to a second dynamic range. The first accessed video signal is converted to a video signal represented in the second color space. At least two color-related components of the converted video signal are mapped over the second dynamic range. The mapped video signal and the second accessed video signal are processed. Based on the processing, a difference is measured between the processed first and second video signals. A visual quality characteristic relates to a magnitude of the measured difference between the processed first and second video signals. The visual quality characteristic is assessed based, at least in part, on the measurement of the difference.

The invention provides a classroom teaching auxiliary system which comprises a data collecting device, a data interaction device and a data analyzing device, wherein the data collecting device and the data interaction device are connected in a wireless mode to carry out data transmission, and the data interaction device is connected to the data analyzing device through a data transmission cable. The data collecting device comprises an information collector which is used for checking-in, selecting, grading, voting and electronically raising hands, and at the same time the data collector collects teaching management data. The data analyzing device carries out statistic analysis on the teaching management data which are collected by the data collector, and obtains a teaching quality report. The classroom teaching auxiliary system can increase constraint force on classroom discipline, strengths supervision on teaching quality, arouses learning initiative of students, assists classroom teaching of teachers, solves the problems of style of study and style of teaching in traditional teaching, and continuously improves the teaching quality. The classroom teaching auxiliary system not only can objectively and reliably monitor quality characteristics of the classroom teaching, but also can analyze scientifically and accurately on the basis of monitoring and then provide a more reasonable teaching quality report and a rectification and reform program.

A biomass harvesting system for harvesting agricultural plant growth from agricultural fields comprises a power source for providing mechanical and electric power to the system, a biomass accumulator for producing discrete units of accumulated biomass, a windrower for feeding biomass to the accumulator, a biomass quality analyzer for sensing and transmitting a set of quality characteristics of the biomass, a ground cover residue monitor for sensing and transmitting an optimal quantity of biomass residue to remain on the field, an active tracking system for identifying individual ones of the discrete units of accumulated biomass, and a central processing unit including a memory module storing an executable instruction set therein. The central processing unit executes the instruction set and integrates the sensed biomass quality characteristics and the sensed optimal quantity of biomass residue to remain on the field to determine a biomass quality index of the discrete units of accumulated biomass.

A biomass harvesting system for harvesting agricultural plant growth from agricultural fields comprises in operative combination a power source for providing mechanical and electric power to the system, a biomass accumulator for producing discrete units of accumulated biomass and a windrower for feeding biomass to the biomass accumulator. The system also includes a biomass quality analyzer for determining a set of quality characteristics of the accumulated biomass, a dirt control system for controlling the quantity of dirt in the accumulated biomass, and a ground cover residue monitor for determining on optimal quantity of biomass residue to remain on the agricultural field. An active tracking system identifies individual ones of the discrete units of accumulated biomass.

The invention provides a system for detecting mass, mass center and mass offcenter of a cylinder, and belongs to the measurement technical field. The system for detecting the mass, the mass center and the mass offcenter of the cylinder comprises a main controller, a data acquisition module, a control interface module, a signal conditioning circuit, a motor driving circuit, a distance measuring device, a power module, a lifting motor, four weighting sensors and a lifting platform. The cylinder to be measured is clamped on a tray at one time, the lifting motor is started, the tray is landed on the weighting sensors, the distance measuring device is moved to measure a reference distance of the cylinder, and then data of the sensors are acquired twice in a front and back mode when the cylinder rotates by 90 degrees, and a detecting result of the mass, the mass center and the mass eccentricity of the cylinder can be acquired according to a four-point method. The system for detecting the mass, the mass center and the mass offcenter of the cylinder has the advantages of being compact in structure, large in measuring diameter range, high in measuring accuracy and automation degree, and capable of being used in delivery detection, factory acceptance inspection and quality characteristic detection of cylinder parts or products.

The invention discloses a coal quality characteristic analysis method based on combination of dominant factors and a partial least square method, and belongs to the technical field of atomic emission spectroscopy. According to the method, modeling is carried out based on a physical background of coal quality characteristics. The method comprises two steps of partial least square fitting processes. In the first partial least square fitting process, characteristic lines in a spectrum relative to coal quality characteristics are used as inputs, and a nonlinear dominant factor model is established for describing a physical relationship between coal quality characteristics and laser-induced breakdown spectroscopy. In the second partial least square fitting process, dominant factor residuals are corrected by using all spectral line intensity information of the spectrum. Compared with a traditional partial least square model, with the method provided by the invention, model calibration and prediction precisions are improved.

The invention provides an automatic docking device for hold section parts. The automatic docking device comprises a six-degree-of-freedom adjustment platform, a docking measurement platform, a dockingcontrol platform, a docking host computer monitoring platform and the like. The six-degree-of-freedom adjustment platform includes six-degree-of-freedom brackets, five-degree-of-freedom brackets, anda chassis, and the docking measurement platform includes a bracket, a rack, a linear guide, industrial cameras, a laser displacement sensor and a cantilever beam. The docking host computer monitoringplatform has the function of storing and recording docking data parameters and quality characteristic analytical data. The automatic docking device for the hold section parts is mainly used for on-line measurement of automatic docking and mass and centroid of different hold section parts and forming a new mode of hold section assembly with features of precise docking, real-time data visualizationand process online control, the assembly efficiency is improved, the assembly labor is reduced, and finally the aerospace manufacturing industry is further promoted to enhance the core competitiveness.

The invention discloses a spacecraft quality characteristic comprehensive test board based on a spherical air bearing. The test board comprises devices such as the spherical air bearing, a torsional pendulum driving device, a torsion bar spring, a torque balancing device, a clamp position locking device, a cylindrical air bearing and the like. The centroid position of a spacecraft is measured with a torque balancing method, and the rotary inertia of the spacecraft is measured with an air floatation torsional pendulum method. The device can measure the transverse centroid and the vertical axis rotary inertia simultaneously, and the measuring accuracy is improved by one time compared with a prior device.

A method for improving air quality in a human dwelling may include irradiating a portion of air flowing through an airflow conduit with ultraviolet light. The method may include turbulating, filtering, and / or adjusting a humidity of at least a portion of the air. The method may include creating an air pressure within the dwelling that exceeds an air pressure outside of the dwelling and / or monitoring air quality of at least a portion of the air. A system for improving air quality of air flowing through an airflow conduit may include an ultraviolet light source, a humidity control unit, a turbulator, and / or a filter. The system may include a blower and / or a ventilator. The system may include a sensor and / or a monitor for transmitting air quality characteristics to a remote site.

An image processing apparatus includes: an image obtaining section obtaining an input image; a first image processing section generating a predetermined quality image resulting from rendering the input image in high image quality using a predetermined image processing parameter; a display section displaying the predetermined quality image; a characteristic region identifying section identifying a plurality of characteristic regions in the input image; a parameter determining section determining, respectively for the plurality of characteristic regions, image processing parameters for rendering images of the plurality of characteristic regions, in higher image quality; a second image processing section generating a plurality of high quality characteristic-region images respectively of the plurality of characteristic regions, using the image processing parameters determined by the parameter determining section; and a display control section replacing the plurality of characteristic regions in the predetermined quality image under display, with the plurality of high quality characteristic-region images.

A real-time MPEG video coding system with information look-ahead for constant bit rate (CBR) applications, such as, for example, Video-on-Demand (VoD) over ADSL. This scheme employs two MPEG encoders. The second encoder has a buffer to delay the input by an amount of time relative to the first encoder to create a look-ahead window. In encoding, the first encoder collects the information of statistics and rate-quality characteristics. An on-line information processor then uses the collected information to derive the best coding strategy for the second encoder to encode the incoming frames in the look-ahead window. The second encoder uses the encoding parameters from the processor as the coding guide to execute the coding strategy and generate the final bitstream.

A method for detecting a forged face using an infrared image includes: acquiring an infrared image and a photorealistic image captured by one or two cameras; extracting a face region from the photorealistic image; determining, based on analysis of quality characteristics of the infrared image, whether a current face is a forged face or not; and performing face recognition on the extracted face region if it is determined that the current face is a non-forged face. The method further includes capturing an infrared image and a photorealistic image again through the camera without performing face recognition if it is determined that the current face is a forged face.

The invention provides equipment used for integrated measurement of quality characteristic of the parts; a torsion pendulum lower disc is fixed on a base; a torsion pendulum upper disc is connected with the torsion pendulum lower disc by a torsion spring component; the torsion pendulum lower disc and the torsion pendulum upper disc are fixedly connected with each other by a bolt; when the bolt is loosened, compressed air is injected in the air inlet hole of the torsion pendulum lower disc so as to form an air cushion between the torsion pendulum lower disc and the torsion pendulum upper disc; the torsion pendulum upper disc is arranged in an air-floating state and carries out torsion pendulum fro and back under the action of a torsion pendulum driving mechanism and the torsion spring component; a rotation inertia measurement instrument measures the rotation inertia of the article to be measured according to the torsion-pendulum period of the torsion pendulum upper disc; a supporting frame is fixed on the external circumference of the torsion pendulum upper disc; a mass center disc is fixed on the supporting frame by a conversion mechanism; the mass center disc is provided with the article to be measured; a weighing sensor component is arranged on the surface of the torsion pendulum upper disc; the relative position of the mass center disc and the supporting frame can be changed by the conversion mechanism; when the mass center disc is separated from the supporting frame, the weight of the mass center disc and the article to be measured is borne by the weighing sensor; and the mass and the mass center of the article to be measured is measured by a mass and mass center measurement instrument according to the value of the sensor component.

The invention provides an embedded satellite configuration. The embedded satellite configuration comprises a platform cabin, a loading cabin, a docking locking-unlocking mechanism, a non-contact magnetic suspension direct force control mechanism and a solar cell array. The platform cabin is in a hollow annular structure; the loading cabin is arranged in the platform cabin; the docking locking-unlocking mechanism and the non-contact magnetic suspension direct force control mechanism are arranged between the platform cabin and the loading cabin respectively; the solar cell array is arranged on the side of the platform cabin. Ultrahigh-precision ultrahigh-stability control requirements of satellites are met, quality characteristics and agile mobility performances of the satellites are improved, a loading space environment is improved, and influences of platform disturbance and thermal cycling on satellite loading are reduced. According to a design conception of non-contact split design and centralized control, the embedded satellite configuration has advantages of structural configuration compactness, high control precision, high environmental adaptability, low development risk, short cycle and simplicity and feasibility in integration and final assembly.

A method of non-destructive testing of a wood piece using a multiplicity of sensors. The method may include the steps of sensing the wood piece; collecting information from the sensors; and integrating the information into a physical model providing for strength and stiffness prediction. The collected information relate to material characteristics of the wood piece and to fiber quality characteristics of the wood piece. The material characteristics may include one or more of the following material characteristics of the wood piece: growth ring thickness; grain angle deviation; clear wood density; knot location; knot density; knot type; knot size; location in the tree from which the wood piece was cut. The fiber quality characteristics may include one or more of the following fiber quality characteristics: microfibril angle, juvenile wood, biodeterioration; reaction wood species; and manufacturing or drying defects including one or more of the following defects: sawcuts, checks, shake; size of actual cross-section, and species.

The invention provides a method for on-line measurement of coal quality characteristics based on partial least squares method. Firstly, the coal calibration samples containing known components are detected by use of an laser-induced breakdown spectroscopy (LIBS) system, the calibration samples are classified by the principal component analysis (PCA) or partial least squares-discriminant analysis (PLS-DA) method according to the obtained spectral line intensity matrix, and PLS regression equations of the individual classes of the calibration samples are established respectively; and then a sample to be tested is detected on line to obtain an LIBS spectrum, the type of the sample to be tested is judged by the PCA or PLS-DA method, and the spectral line intensity matrix of the LIBS spectrum is put into the PLS regression equation of the corresponding type to calculate the mass concentrations of individual elements in the sample to be tested. The method fully utilizes the effective information of the LIBS spectrum, eliminates the multiple correlation of spectral line intensity caused by the mutual interference of the elements, reduces the influence of the matrix effect, and is characterized by high goodness of fit, strong reproducibility and high prediction accuracy in comparison with the single-variable calibration method in the prior art.

The present invention is directed towards systems and methods for identifying high quality content in a social media environment. The method according to one embodiment of the present invention comprises retrieving a content item and retrieving a plurality of quality features associated with said content item wherein said quality features comprise intrinsic, usage and relationship features. The method then performs an analysis of said content item against said quality features and generates a quality score based on said analysis.

The invention provides a tobacco combined heat transfer type small-sized roller drying device, which comprises a pre-heater connected with a gas source and a water source, a saturated humid air generator, a mixer, a roller device and a data acquisition device, wherein the pre-heater and the saturated humid air generator can send gases generated to the mixer by conveying pipes respectively, and the gases are mixed and sent to the roller device by a rotary connector to make the staying time controllable treatment on the cut tobacco in the roller; and the pre-heater, the saturated humid air generator, the mixer and the temperature of air flow sent to the roller device can be controlled by an intelligent temperature control instrument. The drying device has the essential characteristics that under the conditions of controlling the rotary speed and the temperature of the roller wall of the roller, the roller and an introduced dried gas medium jointly processes a certain amount of cut tobacco samples in the roller in the set drying time; simultaneously, during the processing, partial cut tobacco is taken out for analysis and evaluation on physical, chemical and aesthetic quality; furthermore, the analysis and the judgment on the processing quality property of the cut tobacco in the drying process are made.

A factor estimating support device supports estimation of factor from a result generated in a production system. In the factor estimating support device, material / environment history data and test history data acquired from the production system, and the causality structure data indicating causality between the plurality of variables are stored in the storage unit, where when determined that the final quality characteristic is abnormal in the final quality abnormal detecting part, determination is made on whether each variable other than the final quality characteristic is abnormal in the variable abnormality detecting part, and the determination result is reflected on a visible image in which the causality structure data is visualized in the visible image creating part.

A first video signal is accessed, and represented in a first color space with a first color gamut, related to a first dynamic range. A second video signal is accessed, and represented in a second color space of a second color gamut, related to a second dynamic range. The first accessed video signal is converted to a video signal represented in the second color space. At least two color-related components of the converted video signal are mapped over the second dynamic range. The mapped video signal and the second accessed video signal are processed. Based on the processing, a difference is measured between the processed first and second video signals. A visual quality characteristic relates to a magnitude of the measured difference between the processed first and second video signals. The visual quality characteristic is assessed based, at least in part, on the measurement of the difference.

The invention discloses a method and system for evaluating quality in the process of manufacturing batch cigarette products. The method and system are characterized in that on the basis of evaluating the process quality of certain procedure single quality characteristic value, process performance indexes of a multivariable procedure are calculated by a principal component analysis method to obtain the weights of all principal components according to the respective characteristics of the procedures of shredding, wrapping, molding and the like, and the process performance indexes of the procedure are acquired through arithmetic weighted average, so that the quality in the process of manufacturing the cigarette is evaluated. Compared with other evaluation methods, the evaluation method disclosed by the invention has the advantages that: the selection of evaluation indexes more conforms to actual production demands, and the actual application range is wider; the establishment of evaluation standards fully refers to the conventional research results and is more scientific and objective; the quality control conditions of all production procedures of the cigarette can be better known through the evaluation; and more adequate data support is provided for continuously improving the quality in the process of manufacturing the cigarette and the final quality.

The invention discloses a method for comprehensively evaluating quality of batch tobacco leaves. The method comprises the steps of acquiring a preliminary flue-cured tobacco sample in a batch transferring process, measuring data of appearance, chemical and sensory quality evaluation data of the flue-cured tobacco, calculating the score of each quality evaluation index through constructing a conformity function model and dimensionless processing, and finally integrating a final score in flue-cured tobacco quality evaluation and grade number information in batch transferring for obtaining an evaluation result. The flue-cured tobacco quality evaluation indexes comprise the appearance quality index of the flue-cured tobacco, the routine chemical component index, and the sensory quality characteristic index. The appearance quality index of the flue-cured tobacco is the weighting mean value of single-grade different sample quality inspection data of an industrial enterprise in batch transferring. The routine chemical component index is the comprehensive value of single-grade chemical component conformity. The sensory quality characteristic index is the comprehensive score of the single-grade sensory quality characteristic, wherein the comprehensive score is calculated according to the YC / T 530-2015 flue-cured tobacco and tobacco leaf quality stylistic feature sensory evaluation method. The method realizes more comprehensive and effective analysis evaluation on the tobacco leaf in different transferring batches, thereby performing an industrial transferring guiding function in a contract requirement.

The invention provides a welding spot defect identifying method which comprises a step of performing characteristic extraction on the acquired welding spot image information and a step of identifying the welding spot defect according to the ways of identifying, fuzzy inference, neutral network according to the characteristics and the like, and specifically comprises the following steps of: 1) obtaining a sample for training an artificial neural network according to the principle of an orthogonal test based on the welding spot shape theory; 2) training the artificial neural network by use of an improved neural network algorithm to obtain a network for predicting the possibility of various defects of the welding spots; and 3) performing image processing on the actual welding spot, extracting the shape quality characteristic as the input of the trained artificial neural network, and performing forward calculation by use of the trained network to realize identification of the welding spot defect. In the invention, as the BP neural network is improved and the genetic algorithm is introduced into the neural network algorithm training, the defects of slow convergence, easy trap in local optimal solution and the like of the neural network are solved, and the network performance is improved to some degree so as to realize defect identification of complicated welding spots.

The invention discloses an image quality classification method based on a dual-channel deep parallel convolutional network. The image quality classification method solves the problems of difficulty inartificial construction of quality features and loss of image detailed information in convolutional neural network input normalization. The image quality classification method comprises the implementation steps of: selecting image samples; constructing a training image data set; establishing the dual-channel deep parallel convolutional network; preprocessing the training data set; training the dual-channel deep parallel convolutional network; performing data preprocessing on an image to be tested; and giving out an image quality classification result. The image quality classification method designs the new dual-channel deep parallel convolutional network, inputs a global image and local images via two channels separately, comprehensively considers the global information and detailed information of the images, designs a parallel convolution structure for the global image, can eliminate the influence of image semantic information on image quality classification, realizes comprehensive,reasonable and detailed image quality classification, and is widely used in computer vision and image aesthetic quality evaluation.