274 results about "Area type" patented technology

A hand-supportable Digital Imaging-Based Bar Code Symbol Reading Device comprises: an IR-based Object Presence and Range Detection Subsystem; a Multi-Mode Area-type Image Formation and Detection Subsystem having narrow-area and wide area image capture modes of operation; a Multi-Mode LED-based Illumination Subsystem having narrow-area and wide area illumination modes of operation; an Automatic Light Exposure Measurement and Illumination Control Subsystem; an Image Capturing and Buffering Subsystem; a Multi-Mode Image-Processing Bar Code Symbol Reading Subsystem; an Input/Output Subsystem; a manually-activatable trigger switch; a System Mode Configuration Parameter Table; and a System Control Subsystem integrated with each of the above-described subsystems. The bar code reading device can be configured and operated in numerous programmable modes of system operation to automatically read 1D and 2D bar code symbologies in a high-speed manner using advanced modes of image processing on captured images.

The invention discloses a method and system for site selection of a base station. The method comprises the following steps: obtaining parameter information of a preset type according to a networking type and a zone type of a target zone and introducing the obtained parameter information into a preset mathematical model to form a mathematical model of the target zone; selecting a preset number of sub sets from a candidate base station set of the target zone; and according to the mathematical model of the target zone, using an evolutionary algorithm to carry out solving on the selected of sub sets with the preset number, thereby obtaining a station site and configuration of a newly-established base station. According to the method and system for site selection of a base station, according to different geographical environments and networking types of different target zones, a TD-LTE network base station site and configuration are selected, wherein the TD-LTE network base station site and configuration correspond to the geographical environment of the target zone; and according to the selected base station site and configuration, the new base station is established. Therefore, the data traffic requirement with high bandwidth and high quality can be met; and a high-speed wireless broadband service can be provided for a large number of users.

The invention relates to an area type energy Internet and an integrated optimization planning method thereof. The area type energy Internet comprises local energy resources, distributed energy, production and consumption integrated energy and mutually connected area micro energy nets. The integrated optimization planning method comprises the following steps: 1, obtaining an area type energy Internet planning design database; 2, establishing an optimization mathematic model; 3, obtaining input variable parameter values needed by the optimization mathematic model from the area type energy Internet planning design database, solving the optimization model, and obtaining output data of decision variables; and 4, analyzing the output data of the decision variables to obtain a cooperation optimization result, wherein the cooperation optimization result comprises an optimal technological type selection and layout, an optimal equipment capacity, an optimal heat network layout and an optimal operation strategy. Compared to the prior art, the area type energy Internet and the integrated optimization planning method thereof overcome the defects of poor interaction between energy users and difficult supply-demand matching in the prior art and have the advantages of networking, systematization, high efficiency and the like.

The invention discloses a high-resolution remote-sensing multifunctional urban land spatial information generation method. According to the method, a complex system rank theory is introduced; an urban land spatial information classification system with three rank scales, i.e. a multifunctional target landscape type, a functional area type and a land cover type, which self-adapts to urban planningmanagement and environmental renovation, is proposed; and on the basis of realizing the treatment of fine correction and alignment on remote-sensing images of a Landsat TM, a Google Earth and auxiliary maps, the Landsat TM is applied to carrying out urban landscape type classification, a three-level rank classification type-merged combination and an information mining knowledge base are constructed, the classified information is merged to form a first-level classification result of urban land, the digital functional areas are classified into a second level and the land cover is classified into a third level under the constrained control of higher-level classification information. The method has the characteristics of low cost, high accuracy of classification and strong targeted application, and thus, the requirements on target applications, such as ecological urban design, urban environmental management and the like, are better met.

A method and system for accurately determining the location of the mobile device (10) is disclosed. In the mapping phase collected reference positioning data and collected cell data are used to map a covered area estimation and in the actual location determination phase the covered area estimation is calculated from actual environment data received through wireless cellular communication network (11, 12) and possibly but not necessarily from external databases (17, 19). The covered area estimation comprises at least some of the following calculations: (i) estimation of base station location, (ii) estimation of transmission range, (iii) estimation of signal map and (iv) estimation of area type. The actual location of the mobile device (10) is determined from the covered area estimation based on relative comparison between the actual environment data and estimations (i)-(iv) and weight numbers resulted from the comparison. During the both phases a database is stored in the server (14) and updated whenever new environment data is received.

The invention discloses a designated-driving order predicting method and a designated-driving transport capacity scheduling method which can be used for airports. The designated-driving order predicting method comprises the steps of: establishing a history order database of each airport; carrying out area clustering on the airports according to order change similarity; carrying out time interval clustering on a plurality of basic time intervals according to order numbers in the basic time intervals of each area type so as to form different order prediction basic time intervals of each area type; extracting a corresponding order number and change factors in each order prediction basic time interval of each area type, adopting a BP nerve network to carry out non-linear fitting, and enabling each order prediction basic time interval of each area type to obtain a different order prediction model; and when an order prediction request is received, according to the request area type and order prediction basic time interval, selecting the corresponding order prediction model, and by combined with the change factors, predicting an order number. By adopting the designated-driving transport capacity scheduling method, a reasonable driver distribution scheme is generated according to the order prediction result.

To accurately determine the location of mobile device a multi-phase procedure incorporating mapping and location determination phases is suggested, wherein covered area estimation comprises (i) estimation of base station location, (ii) estimation of transmission range, (iii) estimation of signal map and/or (iv) estimation of area type. The actual location of the mobile device (10) is determined from the covered area estimation based on relative comparison between the actual environment data and estimations (i)-(iv) and weight numbers resulted from the comparison. During the both phases a database is stored in server (14) and updated whenever new environment data is received. The vertical position, or ‘elevation’, of mobile device is further estimated based on vertical level information associated with the covered area estimations during the mapping phase.

The invention provides a water surface optical visual image target area detection method based on gradient information fusion. The water surface optical visual image target area detection method based on gradient information fusion adopts two sliding window modes and calculates the longitudinal gradient and the transverse gradient of a water surface optical visual image. The information of the two gradients is fused, the position of an area is marked through a connected component detection method, and the target area is marked according to the final boundary of a target. The water surface optical visual image target area detection method based on gradient information fusion combines sea boundary area characteristics of the water surface image, respectively extracts target boundary information in the longitudinal gradient and the transverse gradient directions of the water surface optical image, determines the attribute of the sea boundary line and division of an image processing space, determines the area type attribute of the target boundary according to the fused information, and finishes scanning and classification of pixels according to the property of the boundary. As the water surface optical visual image target area detection method based on gradient information fusion fuses the information in the two gradient directions by combining the characteristics of the sea boundary lines, reduces the range of the processing area, reduces influence from noise, avoids calculation and processing of the whole image space, and saves calculation time.

The invention relates to the technical field of communication and discloses a service feature based communication service forecasting method. The method includes following steps: S1, preprocessing service volume data to be forecast; S2, subjecting the service volume data after being preprocessed to sample construction, sample generalization and sample screening; S3, clustering the service volume data after being processed in the S2 according to service feature of samples to obtain a forecasting model of the service volume data with multiple area types; S4, performing service forecasting to the service volume data of each area type, and estimating network areas where the service volume data are positioned; S5, estimating network resources needed in the network areas; and S6, comparing the estimated network resources with existing network resources in the network areas, and performing network plan optimization according to comparison results. By the service feature based communication service forecasting method, sudden factors influencing the service volume data are smoothed, and influences, of smoothing, on forecasting results are eliminated after forecasting, so that forecasting accuracy is improved.

A method for adaptively filtering a video signal prior to encoding is provided. The method initiates with calculating a local gradient indicative of a region type. Then, a weight factor is determined based upon the local gradient. Next, the weight factor is applied to a difference signal according to the region type. A computer readable media, an integrated circuit and a system for processing an image data signal are also provided.

The invention relates to a bionic hair sensor for flow velocity, acceleration and angular velocity sensitivity. The bionic hair sensor comprises top hair, a middle silicon micro sensor structure and a bottom signal lead manufactured on a glass substrate. The top hair can drive an outer frame in the silicon micro sensor structure to swing left and right. The negative stiffness effect principle of electrostatic force is used for detecting the acceleration and the flow velocity. A sensor array mode is used for distinguishing the detection of the acceleration and detection of the flow velocity. When external input is acceleration input, all the sensors can be subjected to action to generate torque. Two sub-structures in the silicon micro sensor structure are of gyroscope structures and are used for detecting the external angular velocity, the two sub-structures are arranged in left-and-right symmetry and are two times of a single gyroscope in terms of output signals, a variable-area type capacitor is used for detection, and the interference on detection by the driving movement is relieved.

Apparatuses, methods and programs store a plurality of target types, each target type having recognition attribute information indicating the likelihood that the target type will be recognized based on a type of road or a type of area. The apparatuses, methods and programs acquire vehicle position information indicating a current position of a vehicle, acquire image information in the vicinity of the vehicle, and acquire road attribute information about a road on which the vehicle is traveling, the road attribute information acquired based on the vehicle position information. The apparatuses, methods and programs determine a target type defining a target for image recognition within the image information, the target type being determined based on the acquired road attribute information and the stored recognition attribute information, and perform image recognition of a target feature included in the image information, the target feature being of the determined target type.

An apparatus includes: a reading unit that obtains image data by reading a document through a reading glass; a detecting unit that detects a dirty place on the reading glass; a determining unit that determines a type of each area in the image data; an edge enhancing unit that applies an edge enhancement to each area based on the type determined; and a control unit that controls, when the type of an area determined is a text area, and when the area overlaps the dirty place detected, an amount of the edge enhancement for the area.

A hand-supportable digital imaging-based bar code symbol reading device comprises: an ir-based object presence and range detection subsystem; a multi-mode area-type image formation and detection subsystem having a field of view (FOV) and narrow-area and wide area image capture modes of operation; a multi-mode LED-based illumination subsystem having narrow-area and wide area illumination modes of operation; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; and a system control subsystem. The LED-based multi-mode illumination subsystem produces three different fields of LED-based illumination in automatic response to the detection of different conditions within the FOV, by the automatic object presence and range detection subsystem.

The invention discloses a defect two-dimensional morphology imaging detection method based on multi-mode acoustic beam synthetic aperture focusing, belonging to the technical field of nondestructive testing. According to the method, a phased array ultrasonic detector, a phased array ultrasonic probe and a phased array ultrasonic detection system of an oblique wedge block are adopted; and signal acquisition of a detected test block is performed by the electronic scanning function of the phased array ultrasonic detector to obtain A-scanning signal of each aperture of the phased array ultrasonic probe. According to different mode conversion types of excitation acoustic beam of each aperture on the interface between the wedge block and test block, at the bottom of the test block and on the defect surface, proper multi-mode acoustic beam is selected from 8 acoustic beam transmission modes. Based on SAFT imaging principle and Fermat's theorem, the transmission delay of the multi-mode acoustic beam of each aperture is calculated, and amplitudes are overlapped to obtain a reconstructed SAFT image, thus realizing complete representation of defect two-dimensional morphology features. The invention can realize correct recognition of volume type and area type defects so as to realize accurate quantification of defect length, depth and orientation, and has relatively high engineering application value.

The present invention relates to a variable display area type display device having a structure which can selectively extend or reduce a display area. The present invention comprises: a base plate having a foldable body; a display unit which is installed on one surface of the base plate and in which the display area is folded and changed by the folding of the base plate; and a plate supporting member for supporting the base plate before or after the folding of the base plate.

The invention discloses a pixel type based assessment method of image quality by utilizing structural similarity, comprising the following steps: (1) computing gradients of the reference map and the assessment map by the Canny method, simultaneously obtaining two thresholds representing the strong and weak boundaries of the image gradient values, dividing each pixel position in the image into marginal, texture and flat regions and establishing the regional weight map (RWM) with different weights in different pixel region types; (2) comparing the brightness, contrast and gradient structural similarity of the reference map and the assessment map to obtain the gradient structural similarity (GSSIM) index; and (3) carrying out point multiplication on the RWM and the GSSIM obtained in the steps (1) and (2) to obtain the degeneracy information index map with different weights in different pixel regions and obtaining the mean of the map to obtain the assessment value for assessing the image quality. The method can be widely applied to each stage of image processing, can rapidly give the specific index value for measuring the image quality and is high in accuracy and strong in practicability.

The invention discloses an urban impervious layer information extraction method based on multi-source remote sensing data. The method comprises the following steps: calculating normalized light brightness and performing area type segmentation on the urban surface based on a threshold segmentation method according to a night light brightness image; constructing enhanced normalized impervious layer indexes by utilizing the light brightness, the land surface temperature and normalized soil regulation vegetation indexes; and performing extraction operation on the impervious layer by constructing a linear quantitative relation between the enhanced normalized impervious layer indexes MNDISI in each type segmentation area and the impervious layer rate. The advantages of the multi-source remote sensing data are well combined, an adverse effect of spectral confusion on an estimation result of the impervious layer rate is effectively inhibited, and a novel way is provided for urban land utilization and environmental change monitoring.

The invention applies a Voronoi diagram to wireless sensor network node coverage optimization and provides a coverage mechanism based on a Voronoi diagram blind area type new arithmetic. The coverage mechanism is used for providing an optimal solution to a problem of the wireless sensor network node coverage. The problem of the wireless sensor network node coverage is defined as a problem of disk coverage, a wireless sensor is idealized, and the position of a sensor node is regarded as a center of circle, thereby sensing a standard circle with a radius. By means of the Voronoi diagram, an area under monitoring is divided into multiple Voronoi units; a method of removing nodes in the Voronoi units one by one is adopted; and newly-generated geometric centers of the Voronoi units are calculated. A result is assessed by comparing "coverage rate", "node distribution uniformity" and "coverage efficiency" of the area (in order to prevent experimental chance, repeat operation for 30 times and then take the average). Through simulation experiments, validity and high effectiveness of the algorithmic provided by the invention are verified.

The invention provides a shared bicycle controlled site map and location and service big data system comprising a shared bicycle cloud service platform. The shared bicycle cloud service platform comprises a preset parking site big data management module, a no-parking big data management module, a preset parking site optimization route big data management module, a cloud computing analysis module, a third-party professional organization oriented warning module, a popularity big data management module, a high-credit user management module, a credit big data management module, and a cloud service platform two-way transmission module. A user mobile terminal system comprises a user mobile terminal two-way transmission module, a surrounding check module, a start module, a navigation positioning location information acquisition module, a customer credit query module, a hotspot demand display module, and a specified location area type display module. The system can overcome the problem that precise demand popularity guidance and restriction cannot be realized due to low precision of shared bicycle parking sites and routes.