68 results about "Split window" patented technology

NIC collected network statistics are captured by agent devices resident on Host machines of a network. A probe (software or hardware) retrieves the collected statistics from one or more monitored hosts (each host on the network, for example) and places them in RMON MIB and RMON extension MIB formats. The MIB data is retrieved by queries from a data correlation device that then correlates the queried data into useful statistics regarding network traffic. The useful statistics include network traffic in bytes per second for each application, application protocol, hosts, user logon id, etc. for each of the monitored hosts. Different views including a host to host matrix view are provided in a split window display.

A method and an apparatus for providing a multi-window in a touch device are provided. A method of executing an application in a touch device is provided. The method includes displaying an execution screen of a first application as a full screen, receiving an input of an execution event for executing a second application, configuring the multi-window in a split scheme when the execution event is released on a specific window, and independently displaying screens of the first application and the second application through respective split windows.

Mapping of data source schema data types relating a server side database description into a set of OLE DB data types is rendered subject to user modification by provision of a dual Schema File at a client side terminal which contains an original copy and a modifiable copy of the data source schema. Selected contents of the modifiable Schema File are then displayed in a split window format, including one window which provides a tree view of the schema structure and an adjacent window which displays a set of values related to a selected element of the tree view. Selected values are then subject to modification via user point and click and data entry operations.

The invention relates to a detection method of sea fog remotely sensed by stationary meteorological satellites in the daytime and at night. The detection method comprises the following steps: firstly receiving and processing a data file S-VISSR by utilizing the number of the stationary meteorological satellites and obtaining a GPF document containing 5 channel data after being projected through calibration and location, data amendment, latitude and longitude projection and other pretreatments; then extracting sea fog information by utilizing 4 channel data in the GPF document, 2 split window channels in a long wave infrared window region, 1 intermediate infrared channel of 3.7 Mu m and 1 visible light channel of 0.67 Mu m according to the kinematic characteristics and the spectral characteristics of the sea fog; and firstly filtering a movable cloud boundary and a medium-high cloud boundary and then filtering water body in clear sky and partial low clouds by adopting the tertiary judging method, and finally determining a sea fog region by utilizing the region growing method. The invention not only achieves the real-time monitoring of the sea fog in a wide ocean plane and the dynamic track of the sea fog region, but also provides an important basis for the shot forecast of the sea fog, thereby obtaining sea fog real-time monitoring images per hour at least.

The invention provides an equilibrium method and equipment under an extreme scene in a coherent optical fiber polarization-division multiplexing system. The method comprises the following steps: performing segmented construction on an optical fiber channel with rotation of state of polarization RSOP and polarization division multiplexing PMD joint effect to acquire a signal damage model with two segments of equivalent structures of the PMD before the RSOP; performing window-split interception on a damage signal symbol sequence passing through the optical fiber channel to acquire a window-splitsignal; performing the PMD compensation on the PMD damage of the window-split signal at the frequency domain by using the Kalman filter equilibrium algorithm, and performing the RSOP compensation onthe RSOP damage of the window-split window at the time domain. Under the situations that the speed of the RSOP reaches up to million radians per second and the differential group delay of the PMD is multiple times of the symbol period, the equilibrium compensation work of the signal is finished; the error vector amplitude is much less than the forward error correction tolerance, and performs wellalong the optical signal-to-noise ratio change.

The invention discloses a screen-splitting interaction method of a mobile terminal. The screen-splitting interaction method of the mobile terminal comprises the following steps: when the phone is dialed or answered, carrying out screen-splitting display to a conversation interface according to a screen-splitting instruction input by a user to form a phone screen-splitting window and a multimedia screen-splitting window, displaying a conversion control operation option on the phone screen-splitting window, and displaying multimedia information in a conversation process on the multimedia screen-splitting window; receiving an interaction operation instruction between the phone screen-splitting window and the multimedia screen-splitting window; and according to the interaction operation instruction, carrying out an interaction operation between the phone screen-splitting window and the multimedia screen-splitting window. The invention also discloses a mobile terminal of the screen-splitting interaction. The invention is convenient for a user to process basic phone business information and multimedia information simultaneously in different screen-splitting windows in the conversation process. Meanwhile, the phone screen-splitting window and the multimedia screen-splitting window can carry out interactive control according to the interaction operation instruction between the phone screen-splitting window and the multimedia screen-splitting window so as to bring great convenience for the user to use the mobile terminal.

The invention relates to a processing method for detecting clouds on sea by polar orbit meteorological satellite visible and infrared radiometer (VIRR), which belongs to the field of meteorological remote sensing technology. According to the processing method, firstly first-grade observation data of the polar orbit meteorological satellite visible and infrared radiometer (VIRR) after positioning and scaling and corresponding sea-and-land template information are identified, thereby obtaining sea observation data; for sea image elements, information such as split window brightness temperature, brightness temperature difference, satellite zenith angle and sea temperature regression coefficient is used for performing sea surface temperature inversion; according to the characteristic of the VIRR instrument, statistical analysis is performed based on a matching data set of a long time sequence, and a temperature threshold is set; when the observed brightness temperature and the inversed sea temperature or the inversed sea temperature and the climatic sea temperature of the sea image element exceed a preset threshold, a fact that the sea image element is the image element with a cloud is determined. Compared with the prior art, the temperature threshold is set by means of the clinic change rule of the sea surface temperature and long-time sequence statistical information of the satellite detecting instrument VIRR; quantitative calculation or judgment for cloudy or sunny is performed on a target; and accuracy for detecting the clouds on the sea is improved.

The invention relates to an SST inversion method and system based on Landsat 8 data. The method comprises that Landsat 8 optical and thermal-infrared remote sensing images and corresponding atmospheric contour data are read; on the basis of water-body and seawater emissivity data and a spectral response function of a Landsat 8 TIRS (Thermal Infrared Sensor), the atmospheric contour is used for driving, and channel brightness temperatures in the aerosphere top of two channels of the TIRS under different combined conditions of atmospheric conditions, SSTs and emissivities are simulated; and the obtained total atmospheric column water vapor content is used to divide the atmospheric column water vapor content into intervals, a split-window algorithm is used to construct SST inversion algorithms of the different water vapor content intervals, the SST is calculated, and a result is output. The system comprises a remote-sensing image reading module, an atmospheric water vapor data reading data, a data processing module and an SST inversion module. The system and method can be used to obtain high-precision SST.

The invention discloses an atmospheric correction method for an infrared channel of a common-caliber high-rail remote sensing satellite. The method comprises: step one, constructing an atmospheric vapor inversion model of a high-rail thermal-infrared split window and carrying out calculation to obtain an atmospheric column vapor content W of an image coverage area at a satellite imaging time; steptwo, according to atmospheric correction coefficients of all visible-near-infrared channels of a high-rail remote sensing satellite under different imaging conditions and atmospheric conditions, forming an atmospheric correction coefficient look-up table; step three, retrieving the atmospheric correction coefficient look-up table to obtain an atmospheric correction coefficient and calculating surface reflectances of all visible-near-infrared channels of the satellite to complete atmospheric correction of a visible-near-infrared band; step four, calculating atmospheric transmissivity values tau 11 and tau 12 of a thermal infrared absorption channel B11 and a transmission channel B12; and step five, completing surface temperature inversion by using an thermal infrared split window surface temperature inversion model, thereby obtaining a surface temperature. With the method disclosed by the invention, the satellite image quality as well as the remote sensing observation accuracy of the surface radiation amount and the reflection amount is improved.

The invention discloses a sea surface temperature cooperative inversion method based on a near-infrared high spectrum and a thermal infrared single-channel image, which is characterized in that the sea surface temperature cooperative inversion method comprises the following steps: S1, performing cloud detection on thermal infrared data; S2, performing atmosphere steam content inversion on high-spectrum data; S3, calculating an atmosphere transmittance and an effective average temperature; and S4, calculating the sea surface temperature. The atmosphere steam content is a main factor which affects infrared seam temperature inversion precision. Currently, a method of utilizing thermal infrared split-window technology or introducing meteorological observation auxiliary data for correcting atmosphere steam effect is widely used. The invention provides a novel method of utilizing near-infrared steam absorption peak high-spectrum data for acquiring the atmosphere steam content, thereby performing thermal infrared image sea surface temperature inversion and correcting the atmosphere effect. The method can effectively settle a problem that synchronous atmosphere steam content data is in shortage in sea surface temperature inversion by a thermal infrared single-channel image.

A collapsible safety barrier for protecting the rear window of the pickup truck and occupants in the cab, from any shifting cargo being transported in the bed.

A collapsible safety barrier attached to the inside front bed rail of a pickup truck beneath the exterior of the rear cab window. When erected in the upright position, above said barrier protects passengers in truck cab from shifting cargo in the bed of the truck. In addition, from the erected position, said barrier permits protecting the front window of any installed truck cap from shifting or loading cargo. When not in use, said barrier retracts up to 180 degrees to an inverted position within the confines of a truck bed. When collapsed, it allows use of a rear split window for accessing the cargo area from within the cab or installation of truck bed cover.

The land surface temperature is an important parameter of the physical process of interaction between the earth and the atmosphere and is widely applied to the research of hydrology, meteorology, global carbon balance and global change. The relationship between the radiation brightness of two thermal infrared channels is directly established to replace the simplified Planck function for solving a radiation transmission equation set, an atmospheric parameter (the specific value of atmospheric downward radiation to atmospheric upward radiation) is also introduced to enhance the accuracy of the simplified radiation transmission equation, a split window algorithm based on the radiation brightness (RBSWA) is put forward and the algorithm is applied to MODIS data land surface temperature retrieval. Compared with the conventional split window algorithm based on the brightness temperature, the land surface temperature retrieval accuracy of the RBSWA is enhanced for about 0.5K. The principle of the method is also suitable for other thermal infrared remote sensing data.

The invention relates to a method for correcting the angular effect of a remote sensing surface temperature product. The method comprises: calculating brightness temperatures of 31 and 32 bands of a pixel by using MOD021KM data; acquiring an atmosphere lower-bound temperature Tair, an atmospheric total water vapor content CWV, a sensor observation zenith angle thetav of the pixel; acquiring general split-window algorithm coefficients C, A1, A2, A3, B1, B2, and B3 in a pixel sensor observation direction; determining a zenith emissivity(epsilon 0) of the pixel; calculating a gradient (alpha) anda slope (phi) of the pixel; calculating a local reflection angle (theta 0); acquiring an average emissivity data set of different coverage types of pure pixels on the surface at the sensor observation angles from -65degrees to +65 degrees; acquiring an emissivity difference data set of different observation zenith angles relative to the zenith direction; making the hypothesis of an expression ofemissivity variation the pixel relative to the zenith direction in an observation direction; determining an emissivity expression of the pixel in an observation direction; and calculating a surface temperature (Ts). According to the invention, on the basis of combination of the existing research, data and methods, the pixel-level emissivity directionality model with high universality is provided and can be applied to the angular effect correction of MODIS temperature products.

The invention provides a traffic guidance system constructing method suitable for large-screen high-definition display. The method includes the steps of: (1) obtaining a large-screen base map host environment and various system interfaces; (2) determining a realization effect, large-screen split windows and display content; (3) determining an operational process, and adjusting a software interface according to screen resolution; (4) performing map cutting operation on a map according to the resolution of a display area, optimizing map display according to the resolution of the display area after determining a system interface, accessing the map in a B/S mode, and performing high-definition large-picture display while avoiding resource occupation and improving access efficiency; and (5) adjusting various map icons according to a display area effect after mapping cutting is performed on the map, optimizing system display efficiency, and enabling a picture effect to be clear and the sizes of the icons to be suitable for watching.

The invention discloses a track type window splitting system and a method thereof. After a migration path of an index signal is recorded, display data in a window block split according to the migration path is respectively displayed in two independent blocks. Directional split windows which satisfy needs can be provided to a user by the technical means, and the technical effect of improving data comparison effect for the user is achieved.

The application provides a multi-channel transient electromagnetic (MTEM) virtual wave field extraction device and method and relates to the field of coalfield hydrogeology and physical geography. The method comprises steps of extracting virtual wave field data of a full time domain diffusion field; extracting virtual wave field data of each split window diffusion field; and performing related superposition of a full time domain extraction result and split window extraction results, and taking the superposition results as a virtual wave field extraction result. A stable and smooth virtual wave field waveform curve can be obtained, and the anti-interference capability is strong.

The invention discloses a multi-spectral spaceborne sensor channel device and method for directly inverting surface temperature. The channel device comprises a total of 5 channels, and the spectral response function of each channel is determined by a piecewise function composed of a Gaussian function and a trigonometric function. The central wavelengths of the five channels included in the sensorare 8.6, 9.0, 10.4, 11.3, and 12.5[mu]m, respectively. Under the premise that the equivalent noise of each channel is less than 0.1K, the width of the five channels included in the sensor is between 0.1 and 0.5[mu]m. According to the multi-spectral spaceborne sensor channel device and method for directly inverting surface temperature, three sets of combinations of two different channel satellite observation brightness temperature can be obtained based on the channel device. One of the channels in each group of satellite observations brightness temperature can be atmospherically corrected by applying the theory of split window algorithm, then the ground observation brightness temperature of three channels can be obtained. The surface temperature information can be directly obtained from themulti-channel satellite observation brightness temperature by applying the temperature/emissivity separation algorithm without relying on prior knowledge.

The invention discloses a method for estimating ground surface temperature daily range based on MSG2-SEVIRI data. The method comprises the following steps: obtaining the MSG2-SEVIRI data of a research region, carrying out radiometric calibration on the MSG2-SEVIRI data, and converting DN values into radiance; converting the radiance into on-satellite brightness temperature according to a Planck equation; calculating ground surface temperature difference at any two moments by utilizing a surface temperature split-window algorithm; coupling a ground surface temperature diurnal variation model and the split-window algorithm, and through a least squares fitting method, calculating parameters of the ground surface temperature diurnal variation model; and calculating ground surface temperature daily range according to the parameters of the ground surface temperature diurnal variation model obtained in the step 3. The method is to estimate the ground surface temperature daily range based on the stationary satellite data by fully utilizing the characteristics of stationary satellite data high time resolution, by coupling the split-window algorithm with the ground surface temperature diurnal variation model, and under the condition of not needing inversion of the surface temperature and emissivity.

The present invention provides a method for detecting a near-surface average temperature based on MODIS data. The method comprises: A. obtaining an EVI' based on the MODIS data, the EVI' being an EVI of eight days; B. obtaining an EVIc according to a near-surface average temperature actually measured by a weather station and a corresponding LST and a corresponding EVI in the MODIS data, the EVIc being an EVI of full vegetation coverage; and C. calculating a near-surface temperature Ta according to a formula 8 which is defined as in the description, wherein the Ts<day> and the Ts<night> are obtained based on the MODIS data. Compared with statistical methods, split-window algorithms and thermodynamic methods, the algorithm of the invention requires only one undetermined parameter EVIc, and the module is simple and easy to use, providing good expansibility. Besides, compared with the temperature-vegetation index method, the algorithm of the invention needs not to open up a calculation window, so that the self-similarity of near-surface temperature inversion results is reduced, and the calculation efficiency is improved; what's more, the influence caused by poor effects of Ts-NDVI linear fitting in the calculation window is prevented.

The invention relates to a method for dynamically controlling the size of a split window, and the split window is zoomed in and out by controlling and adjusting intuitive drag action. The method is used in a monitoring system. The method comprises the following steps: selecting a focus window from a first window splitting layout by a pointing tool, wherein the focus window is used for displaying a drag pane with at least one drag point at the periphery; selecting any one drag point as a drag starting point by the pointing tool, and zooming in the drag pane by the drag starting point synchronously along with the drag direction and the displacement amount of the pointing tool; when zooming in the drag pane until the size of the drag pane is close to that of a first split window corresponding to a second window splitting layout, ending the drag action, and directly switching the monitoring video channel of the focus window to the first split window corresponding to the second window splitting layout for displaying by the system.

The invention provides a capsule model Chinese word segmentation method based on multi-regularization combination. The capsule model migration is applied to a natural language processing NLP sequencelabeling task, namely a Chinese word segmentation task, by adding a capsule sliding window capsule split window, so that the technical problem that the capsule model is not suitable for the sequence labeling task is solved; A plurality of regularization items are combined to realize simple field migration, and a capsule model is adapted to a sequence labeling task to complete Chinese word segmentation with higher accuracy and help a more complex natural language processing task; Through combination of multiple regular items, the generalization ability of the model is improved, certain field migration is achieved, manual corpus labeling can be reduced, and the labor and time cost of manual corpus labeling during natural language processing research is reduced.

The invention discloses an online identifying and control method of an unmanned aerial vehicle, which includes steps of 1), a ground control station outputs a corresponding frequency scanning signal according to current state of the unmanned aerial vehicle, the unmanned aerial vehicle receives the frequency scanning signal as an excitation signal of online identification; a flight controller responses the received scanning frequency signal; 2), the cloud server receives the response data, and then performs the frequency domain analysis on the response data by using a FFT and a split window method, acquires system frequency domain response and coherent spectrum, obtains a mathematical model of the unmanned aerial vehicle, and calculates the control parameter which is applicable to the current flight state of the unmanned aerial vehicle; 3), the cloud server returns the control parameter to the flight controller, and the flight controller accurately controls the unmanned aerial vehicle according to the control parameter. The online identifying method can provide more accurate mathematical model for the controlled object unmanned aerial vehicle, optimizes the control parameter of theunmanned aerial vehicle in real time, and reaches better control effect of the unmanned aerial vehicle and lower energy consumption.

The invention relates to a copy number variations testing device which comprises the components of a sequencing data acquiring module; a split window fragmenting module; a module for testing CNV basedon a reads number; a module which tests the CNV based on a unique reads number; and a model result gathering module.

The invention discloses a split-screen display method of duplicating software based on a terminal and the terminal. The method comprises the steps that an application package manager generates duplicating software, the duplicating software is respectively isolated and independently stored, a window manager enables software App designated to use to be displayed in a display screen in a non-full-screen size, and an activity manager enables multiple software Apps designated to use to be in a refresh interface state at the same time and splits a window in the display screen to execute multiple software Apps designated to use, so that the display screen is split into a plurality of split windows, namely operation screens, wherein multiple software Apps designated to use comprises the duplicating software generated by the application package manager, required software which can be displayed and operated in split screens comprises the same software application and is not mutually interfered in operation, multiple software Apps designated to use can be switched each other, software in an application program stack can be dragged to the split windows to replace software Apps executed in the split windows, and the aims of switching, displaying and operating the required software in real time by a user are achieved.

The invention discloses a sea surface temperature retrieval method and a system. Firstly, the sea surface model is determined according to the sea surface wind speed; N photons are generated by MonteCarlo method, where n is an integer greater than or equal to 1; secondly, sea surface emissivity is determined according to the n photons and the sea surface model; a temperature model parameter is determined according to the sea surface emissivity; then the improved split window algorithm is used to establish the sea surface temperature model; at last, the parameter of the temperature model is substituted into the sea surface temperature model to determine the sea surface temperature. Under the condition of large observation zenith angle and wind speed, the invention can still accurately determine the emissivity of the sea surface, thereby improving the accuracy of determining the sea surface temperature.

The invention discloses a method for segmenting audio frequencies on the basis of lay reliability variation trend. The method includes particular steps of 1), detecting layer jump points in fixed-length analysis windows on the basis of reliability variation trend; 2), segmenting the audio frequencies on the basis of detection on the jump points in the fixed-length analysis windows. The method has the advantages that accumulative errors due to split-window detection can be prevented by the aid of the fixed-length analysis windows, the acoustic jump points are detected in the fixed-length analysis windows according to the reliability variation trend, and accordingly limitation problems of excessive redundant points and hard decision can be solved; the problem of mixing detection of existing jump points can be solved by the aid of the fixed-length analysis windows in top-down layer detection modes, redundant segmentation points can be effectively reduced, and accordingly the comprehensive performance can be improved.