32 results about "Multilevel model" patented technology

A memory comprises a plurality of digital multilevel memory cells. A window of valid data voltages for accessing the said plurality of digital multilevel memory cells is detected. The window may be detected by incrementing a first programming voltage to program data in the plurality of memory cells and verifying whether the data in at least one of said plurality of memory cells is properly programmed. The incrementing and verifying may be repeated until data is verified to be properly programmed in one of said plurality of memory cells. The data in each memory cell of said plurality of memory cells is verified. The verification may be by incrementing a second programming voltage, and verifying whether data in each memory cell is properly programmed within a margin. The incrementing and verifying is repeated for each memory cell outside of the margin.

A multilevel multi-modal routing navigating method relates to a routing navigation, which is implemented by establishing a road central line node table and an arc section table, generating topology texts T1 and T2, inputting starting point S and destination D, reading road central line and traffic lane attribute data, and calculating optimal routes R1 and R2 based on T1 and T2; establishing actual traffic lane topological structure T3, and recording physical traffic lane ID, virtual traffic lane ID as well as associated starting point ID and destination ID; reading actual traffic lane attribute data, and calculating optimal route R3 based on T3; according to R1, generating a buffer area B1 with certain range d1 in a dynamic way, selecting out architecture set L1 in B1, expressing L1 in a 2D visible window, selecting out landmark architecture set L2 in L1, expressing L2 in the 2.5D visible window, according to the coordinate position of a driver, dynamically calling a buffer area B2 of d2, selecting real time visible landmark L3 containing L2 in B2, and dynamically calling in road traffic relevant facilities in B2.

A data extraction and analysis system and tool is disclosed herein. The data extraction and analysis system and tool can include memory containing a comparison database, a factor database, and a model database that can include a multilevel model. The data extraction and analysis system and tool can include a content management server. The content management server can receive a request identifying a species and a variable and can retrieve data to generate a statistical model. Based on the statistical model, the content management server can identify and recommend an option to the requestor.

A method for error control in multilevel memory cells storing a configurable number of bits. The error control is performed using an error-control code which operates, in the encoding phase, on b-bit binary strings made up of k symbols of r-bit data. When the memory cells store a number r of bits, a data symbol is formed only with the data bits stored in a memory cell. When the memory cells store a number s of bits smaller than r, a data symbol is formed with the data bits stored in a memory cell and with r-s bits having a pre-determined logic value, in which the data bits stored in the memory cell are arranged in the least significant part of the data symbol, and the r-s bits having a pre-determined logic value are arranged in the most significant part of the data symbol.

An information processing apparatus extracts a plurality of strokes from a multilevel image, and generates a stroke binary image. Next, the image processing apparatus extracts feature amounts indicating the thickness and the smoothed graylevel of a stroke in a neighboring region of a target pixel by using each pixel belonging to each of the strokes as the target pixel. Then, the apparatus generates a target stroke binary image from the stroke binary image based on the distribution of the extracted feature amounts.

The invention discloses a multilevel model cloth defect detection method and system. The method is achieved through the steps of establishing a presort model Model 1, a convolutional neural network model FabricNet and a final classification model Model 2; collecting cloth images, segmenting the cloth images to obtain ROI images, calculating out GLCM feature values of the ROI images to form a feature vector V1; inputting the V1 into the Model 1 to judge whether the ROI images are defect images, inputting the defect images into the FabricNet if the ROI images are the defect images, and obtaining a texture feature vector V2; obtaining judgment results of the ROI images if the ROI images are not defect images; inputting the V2 into the Model2 to obtain defect classification results of the defect images; finally obtaining defect detection results of the cloth images. As the method disclosed by the invention utilizes the three models of the Model 1, the FabricNet and the Model 2, accuracy and real timeliness of cloth defect detection are improved, and the requirement of industrial production is met.

The invention discloses a user model building method with privacy protection, which comprises the following steps of: (1) performing multilevel processing to historical data of user use Web information service to form into a multilevel user model, wherein each node of each level comprises user information; (2) setting privacy parameters corresponding to each level of the user model; and (3) computing the user information defined by the privacy parameters though comentropy to obtain the exposure degree of user privacy. By processing and analyzing the historical data of the user use Web information service, the method forms into the multilevel user model, sets the privacy parameters to each level of the user model, and computes the exposure degree of the user privacy though the comentropy when offering the service quality of the corresponding level when a user selects any one of privacy parameter, so that the user can balance and select the service quality and the privacy exposure degree.

The invention provides a system and a method for optimizing a multilevel self-adapted disturbance attenuation traffic signal. The method comprises that mass data information is collected; and smoothing is carried out to the data according to historical data, data jump characteristics are filtered, and tendency cycle calculation is carried out to the smoothed data. When tendency cycles have the same tendency demand in a continuous period, an intersection cycle generation optimizing scheme will be adjusted; a cycle and a phase difference of an annunciator are adjusted, and a green time ratio is finely adjusted; and fine adjustment is carried out according to the optimization scheme. By virtue of annunciator coordinating induction in a subarea, the annunciator carries out real-time adjustment of green light time at each phase by inductive control according to detected traffic flow data so as to make green time ratio distribution tend to be rational. An intersection can rapidly get adapted to changes of a traffic flow, periodical self-adaptive changes can also be realized at the intersections in a whole area, and the green time ratio can realize self-adaptive adjustment according to a traffic state at each direction, so that intersection emptiness and queuing can be reduced, orderly release of car flows at the intersections can be realized, and an intersection passing efficiency can be increased greatly.

A multilevel image into which a color or a black-and-white image is converted is input, and a slightly indistinct binary image generating unit generates a slightly indistinct binary image that includes a slightly indistinct line pattern and does not include background noise. Additionally, a shape-preserved binary image generating unit generates a binary image that preserves the shape of a line pattern and includes background noise. These images are ANDed for each pixel, so that a binary image that preserves the shape of the line pattern and does not include the background noise is generated.

The invention provides a multilevel menu page display method for an intelligent wearable device. A menu comprises multiple levels of pages which are displayed according to the levels and can execute device action instructions. The display method comprises the steps of storing and judging a current device state; and calling an action instruction callback function in a structure body, formed according to the multilevel menu, the corresponding pages of the multilevel menu and the action instructions, according to the current device state and a device action event, thereby enabling a device display module to perform recovery, maintenance or skip display of a page corresponding to a first-level menu in the multi-level menu. The invention furthermore discloses the intelligent wearable device. According to the method and the intelligent wearable device, the menu is divided through enumerated classification, so that the process is simplified and the multilevel menu is clearer; the skip or switching among different levels of pages is realized through a matching relationship between a structure body variable and the callback function; and the multilevel menu page display method for the intelligent wearable device, provided by the invention, has the advantages that the data structure is clearer, the control is easier, and the later addition and maintenance are facilitated.

The invention discloses an unfolding method for a multilevel menu, which comprises the following steps: while detecting a next-level menu unfolding instruction, acquiring the center and radius of the circle of a last-level menu and the center and radius of the circle of the next-level menu; acquiring a theoretical display area for the next-level menu according to the center and radius of the circle of the last-level menu and the center and radius of the circle of the next-level menu; acquiring an area which does not exceed the boundary of a display interface in the theoretical display area for the next-level menu; taking the area which does not exceed the boundary of the display interface as a practical display area for the next-level menu. The invention also discloses an unfolding device for the multilevel menu. According to the unfolding method and device for the multilevel menu, the menu display can flexibly adapt to different display interfaces.

The invention relates to a multilevel feature model for performing information extraction across fields and a feature evaluation method. According to the method, features in existing information extraction relevant literature are utilized to construct an original feature library; a multilevel feature theoretical model is constructed, the features of specific fields are degraded, the features are divided into composite features and atomic features, and field relevance of the features is lowered; a feature adaptive evaluation method is proposed based on the multilevel feature theoretical model, a sample library is used to evaluate cross-field adaptability of the features capable of being obtained, and the features which can be used quickly and repeatedly are obtained; and the ability of the multilevel feature theoretical model in adapting to field changes is utilized to perform changeability management on the features in the model, actual webpage analysis and processing and feature recognition, matching and parameterization in the actual webpage, and a webpage information extraction feature evaluation system is realized. Through the multilevel feature model and the feature evaluation method, modeling of multilevel features in the information extraction feature evaluation system is completed, and a cross-field information extraction function with high adaptability is achieved.

The invention provides a method and system for storing and querying data of multilevel menus. When data are stored, menu names are stored in a menu name storage array, and the menu names are arrayed in a grading mode; address codes are stored in a menu address storage array, the menu names correspond to the address codes one to one, a user inputs a menu name query request, a controller searches for an address code corresponding to a menu name according to the corresponding relation of the menu names and the address codes and identifies the level of the menu name according to the digit number, and all the menu names are displayed in a grading mode. The menu names stored in the menu name storage array correspond to the address codes stored in the menu address storage array one to one, and the address codes stored in the menu address storage array are arrayed in sequence according to order of size, query process can be fastened, storage space is reduced, a graded menu can be obtained only through one-time query, the query speed is high, and efficiency is high.

The invention discloses a method for generating a multilevel menu on embedded equipment. The method comprises the steps of beginning, cutting a menu interface effect picture into positions and zones of all menu functions, naming cut pictures with function numbers with uniform rules, editing menu interface information by matched PC (personal computer) terminal menu configuration tools, storing edition results in configuration files, deploying menu cut pictures and the configuration files to be under paths specified by the equipment, reading configuration file information and pictures and displaying menu information effect through terminal equipment, accomplishing analysis, and stopping. The method can perform flexible configuration and convenient maintenance.

The invention discloses a creating method of authorization of a multilevel menu, and relates to the field of security protection of a computer system. The method particularly comprises the following steps: 1) establishing a user table which comprises names, codes and identification (ID) numbers of all users; 2) establishing a menu data table which comprises names, series and types of each level of menus, the ID numbers of the users, and authorization; 3) establishing a user authorization table, wherein data combination with 0 or 1 is used for showing authorization of each user; 4) establishing a tree-shaped structural image, wherein each node is formed by reading attributes of a cascading menu in the menu data table; and 5) selecting each node in the tree-shaped structural image by the users, and forming self-authorization. After the self-authorization is stored, a system writes the ID numbers of the users and the authorization into the user authorization table and the menu data table. The creating method of the authorization of the multilevel menu can flexibly aim at that the users customize operable menus and improve operation speed when the system performs administrative operation.

The invention relates to an ecological environment target identification method based on a multilevel model and automatic adjustment of preset points, and the method comprises the following steps: collecting an ecological environment target image, adding a type label to the ecological environment target image, and storing the image to a total sample set; establishing a plurality of sub-sample sets corresponding to different types of ecological environment targets; training the target detection model through each sub-sample set and the total sample set to obtain a plurality of lightweight models and a plurality of heavy general models; a target monitoring area is determined, image acquisition equipment is set up, the target monitoring area is divided into a plurality of sub-areas, a plurality of preset points of the image acquisition equipment are set, and each preset point corresponds to each sub-area; issuing an acquisition task to the image acquisition equipment, wherein the acquisition task comprises a time node for moving to each preset point and an acquisition time period at each preset point; and enabling the image acquisition equipment to execute an acquisition task, acquire real-time image data of the target monitoring area and input the real-time image data to the multi-stage model for ecological environment target identification.

The invention discloses a consumption experience system with advertisement playing. A menu system comprises a multilevel menu. Parts of the levels of the menu in the multilevel menu are a shopping menu. Each level of menu is provided with a display portion and a first command portion which can enters into the next level of the menu. The display portion calls corresponding data in a database so as to display a content in the level of the menu. A menu system signal is connected to a man-machine interaction module so that a user can select to operate the first command portion. Each level of menu calls a timing module so as to determine whether non-operating time of the man-machine interaction module exceeds predetermined time. If the non-operating time exceeds the predetermined time, advertisement data in the database is called to be played and predetermined time of each level of menu in the multilevel menu is gradually increased from a front portion to a back portion. During an advertisement playing process, whether the user triggers the menu system through the man-machine interaction module is determined. If the user triggers the menu system, a first level of menu is entered into. The system possesses advantages that an advertisement investment effect is good; a design is humanized and client privacy leakage can be avoided.

The invention relates to a financial tool, in particular to a control method of a multi-spectral currency counting and detecting machine in a multilevel sleep mode. A currency counting and detecting machine in the prior art adopts a single-level sleep mode, the power consumption is high, the machine is heated, and the service life of the currency counting and detecting machine is short. The method disclosed by the invention comprises the following steps: starting a timer, a currency deposit detector, a currency withdrawal detector and a keyboard scanning circuit to detect whether an operational event exists; timing, if the time exceeds T1, no operational event exists during the timing process, and entering a light sleep mode; timing, if the time exceeds T2, no operational event exists, the currency counting and detecting machine entering a deep sleep mode; if an operational event exists during the timing process, awakening the currency counting and detecting machine from the light sleep mode; if key operation exists, awakening the currency counting and detecting machine from the deep sleep mode. The control method has the advantages that the power consumption is reduced hierarchically; in the light sleep mode, the awakening speed of the machine is high; in the deep sleep mode, the power consumption is reduced; the service life of the currency counting and detecting machine is long.

The inventive embodiment discloses a data stream method, system and device for multilevel multi-planar construction. The method includes the following steps: determining an available output terminal port according to the destination address of data stream; judging whether the failure identification exists in the first marker field and/or the second marker field corresponding to the output terminal port; when the failure identification exists in the first marker field and/or the second marker field corresponding to the output terminal port, regulating the data stream flow quantity of the output terminal port according to the failure identification. The invention can regulate the transmitting flow quantity of the output terminal port according to the fault instance of chain circuit, and reach the effect of reducing the probability of congestion occurrence in the exchanging plane of the fault chain circuit.