1519results about How to "Reduce dependency" patented technology

Systems, methods, and program product to perform a cyber security risk assessment on a plurality of process control networks and systems comprising a plurality of primary network assets at an industrial process facility, are provided. An example of a system and program product can include an industrial and process control systems scanning module configured to identify networks and systems topology and to execute system and network security, vulnerability, virus, link congestion, node congestion analysis to thereby detect susceptibility to know threats to define potential vulnerabilities; a threats to vulnerabilities likelihood and consequences data repository module configured to determine a likelihood of each of a plurality of known threats exploiting identified vulnerabilities and to identify consequences of the exploitation to individual impacted systems and to overall plant operation; and a risk level evaluator module configured to determine a risk level rating for any identified vulnerabilities and provide recommended corrective actions.

Systems, methods, and program product to perform a cyber security risk assessment on a plurality of process control networks and systems comprising a plurality of primary network assets at an industrial process facility, are provided. An example of a system and program product can include an industrial and process control systems scanning module configured to identify networks and systems topology and to execute system and network security, vulnerability, virus, link congestion, node congestion analysis to thereby detect susceptibility to know threats to define potential vulnerabilities; a threats to vulnerabilities likelihood and consequences data repository module configured to determine a likelihood of each of a plurality of known threats exploiting identified vulnerabilities and to identify consequences of the exploitation to individual impacted systems and to overall plant operation; and a risk level evaluator module configured to determine a risk level rating for any identified vulnerabilities and provide recommended corrective actions.

The invention discloses a method for preparing tobacco sheets and an application of the method. In the method, enzymolysis is implemented when the tobacco stalk and the tobacco powder are soaked, solid-liquid separation is implemented after extraction, the solids are made into fiber sheet substrates, liquid is made into concentrated solution by alcohol precipitation and concentration, the concentrated solution is made into coating liquid by maillard reaction and coated on the fiber sheet substrates, and the fiber sheet substrates are dried and cut into tobacco sheets. In the invention, the macromolecular compounds that influence the quality of the tobacco sheets are sufficiently degraded by enzymolysis, the content of the impure taste in the tobacco sheets is decreased, the internal quality of the tobacco sheets is improved, and better aroma is obtained by the technical solution that produces prospective aroma by the maillard reaction to provide a rich aroma for the tobacco sheets so as to obtain tobacco sheet products fitting different types of cigarette products and having better internal quality. The tobacco sheets prepared by the method have excellent compatibility and harmonywith the conventional raw materials of the cigarettes, and have the advantages of good cigarette taste, various and rich aromas and less impure taste.

The invention discloses a method for protecting the privacy data of users in a cloud environment. The method comprises the following steps that: a cloud platform receives a user request, and judges whether the user request is a data uploading request or a data reading request; if the user request is a data reading request, the cloud platform searches corresponding data according to an identifier of to-be-read data in the data reading request, and judges whether the data is a ciphertext; if the data is a ciphertext, the cloud platform searches whether the user is authorized in a re-encryption key server; if the user is authorized, the cloud platform re-encrypts the data into a ciphertext (can be decrypted by the user) by using a proxy re-encryption service and a re-encryption key corresponding to the user, and issues the ciphertext to the user; the user decrypts the ciphertext by using a decryption key of the user and a decryption interface of a safety plugin so as to obtain plaintext data; and the user calls a corresponding application program interface to carry out modification on uploaded data by using a client plug-in. According to the invention, the application demands of user data on the cloud platform are not affected while the privacy data of the users is protected,.

The relation-type data base system of the present invention includes data center for storing data object; metadata base for storing metadata; client sides; report server connected to the client sides; and intermediate server connected to the data center, the metadata base and the report server. The inquiry and report process includes the client side to input inquiry and report request, the report server to send metadata inquiry request, for the intermediate server to obtain metadata from the metadata base, for the report server to send metadata to the client side, for the client to input inquiring and report condition based on the metadata, for the report server to create command, for the intermediate server to execute the command in the data center and to return result to the report server, for the report server to store the result and return it to the client side, and for the client to show the result.

The invention discloses a dynamic time frame compensation rendering system and a dynamic time frame compensation rendering method for a virtual-reality mobile terminal. The method comprises the following steps of generating an application frame buffer sequence by use of frame rendering, extracting the up-to-date or latest application frame from the application frame buffer sequence, and performing secondary rendering, thereby obtaining a time frame; sending the time frame to a shared buffer; and under sequence control of a vertical synchronous management module, reading a time frame rendering result by use of a screen, and performing updating. By virtue of the design of the shared buffer, a GPU rendering result is directly stored in a cache updated by the screen, so that delay of multi-caching exchange is reduced; by virtue of vertical synchronous time management, the GPU rendering time is controlled, collision between GPU rendering writing and screen update reading is avoided, frames can be normally displayed with low delay, and no splitting is generated.

The present invention discloses a wireless resource management system for realizing the frequency spectrum sharing. The system comprises a cooperation control unit for determining frequency spectrum sharing strategy according to the frequency spectrum sharing request which is accessed in a network and / or each running statistical information which is accessed in a network and the frequency spectrum using condition; an accessing network frequency spectrum sharing control unit communicated with the cooperation control unit is used for matching the different local wireless resource management accessed in the network to make the accessing network share the frequency spectrum resource according to the frequency spectrum sharing strategy determined by the cooperation control unit. The present invention also discloses a wireless resource management method for realizing the frequency spectrum sharing. With the present invention, the frequency spectrum sharing between different wireless accessing technologies and wireless accessing networks can be simply and effectively realized, and the utilization ratio of the frequency spectrum resource can be improved.

The invention discloses a method and a device for picture loading based on an Android system. The method includes: A, sending out an order of a picture loading task and initializing soft references of a stored picture; B, judging whether the picture to be displayed is stored in the soft references or not; C, if not, running a picture loading thread for loading, and if yes, directly performing the step F; D, if the memory is insufficient, automatically recovering the picture stored in the soft references until the memory is sufficient; E, storing the picture in the soft references when the picture to be displayed is loaded; and F, directly reading the picture to be displayed from the soft references and displaying the picture. Using the method and the device for picture loading based on the Android system can avoid repeated picture loading to realize rapid picture calling, dependence on the memory is reduced, the device can be operated smoothly in low-performance systems, and user experience can be enhanced.

The invention discloses a car body stable control method of a four-wheel independent drive electric car. A yaw velocity expected value is obtained through a car linear two-freedom-degree control model, after a side slip angle expected value is set to zero, based on the active disturbance rejection control theory, a yaw velocity deviation active disturbance rejection controller and a side slip angle deviation active disturbance rejection controller are designed, an additional yawing moment deltaMwr and an additional yawing moment deltaMB are obtained, the additional yawing moment deltaMwr and the additional yawing moment deltaMB are linearly added to obtain a total additional yawing moment deltaMYSC acting on the car, finally torque of all wheels is distributed through the value of the total additional yawing moment, distributed instruction torque is input into four motors of the car, and therefore the yaw lateral movement of the electric car is controlled, and the car body is stabilized.

The invention discloses a neural network-based chat robot dialogue semantic intention prediction method and a learning training method. The prediction method is used for a chat robot to predict a possibly continuous dialogue intention or point of interest (one of multiple dialogue intentions or points of interest) of a dialogist according to a sequence (said) statement eigenvector of the human dialogist; and by heuristically selecting an output dialogue of the chat robot and taking an answer of the dialogist as a verification feedback of a previous intention prediction result, online reinforcement learning and self-updating of an algorithm are realized, the accuracy of dialogue intention prediction is continuously improved, the round number of chat can be increased, and the interest of thedialogist can be enhanced.

Methods and apparatuses are described for creating and using full-kit tasks, monitoring the progress of full-kit tasks, determining full-kit dates, checking compliance of release conditions associated with full-kit tasks, and / or computing and reporting full-kit task delays. A full-kit task can be used in the project plan to represent the preparations that are required or recommended to be performed before executing a set of tasks. The full-kit task can be a zero-duration task that has a full-kit date and that includes a list of items which need to be completed by the full-kit date. The full-kit task is capable of being in one of the following states: not started, in progress, released, and completed. In some embodiments, the set of tasks associated with the full-kit task can only be started if the full-kit task is either in the released state or the completed state.

The invention discloses a multi-information fusion based fatigue driving detecting method. A fatigue driving detecting system used in the method comprises a signal collection module, a signal processing module and an alarming module, wherein the signal collection module collects signals relative to fatigue, the signal processing module quantizes fatigue levels of a driver, extracts feature parameters which can reflect fatigue states of the driver, performs fuzzy clustering on the feature parameters, and real-timely detects the fatigue states of the driver, and the alarming module timely performs alarming when the driver is determined to be in fatigue driving. The multi-information fusion based fatigue driving detecting method consists of a plurality of steps of signal collection, fatigue level quantization and signal processing, feature parameter extraction, and fatigue determination and alarming. The fatigue driving detecting system is vehicle-mounted, has non-compulsivity, and is capable of performing real-time determination and high in determination accuracy.

An exposure control unit 15 controls a charge accumulation time for a CMOS sensor 10. The CMOS sensor 10 captures an image P1 with a charge accumulation time T1 and an image P2 with a charge accumulation time T2. The charge accumulation time T1 does not cause a flicker in an image under a light source blinking at a first blink cycle. The charge accumulation time T2 is different from the charge accumulation time T1. A difference image generation unit 17 generates a difference image DP that emphasizes to show a difference in luminance of the images P1 and P2. A flicker detection unit 18 detects a flicker occurrence in the image P2 based on a difference in luminance between P1 and P2 appearing in the difference image DP.

The invention discloses a robust adaptive underactuated surface ship path tracking control method based on a fuzzy unknown observer. The robust adaptive underactuated surface ship path tracking control method based on the fuzzy unknown observer comprises the following steps that an unmanned ship kinematics and dynamics model is established; a path tracking error dynamic state is built; a line-of-sight guidance law with variable speed is proposed; a fuzzy logic system is established; and a controller based on the fuzzy unknown observer is designed. In a guidance subsystem, the line-of-sight guidance law with the variable speed is proposed, the control flexibility and robustness of a guidance system are improved, and the position error is enabled to be asymptotically stabilized to zero; andin a control subsystem, the fuzzy unknown disturbance observer is designed to estimate the unknown disturbance quickly and accurately, and effective compensation is carried out on the designed speed and a heading controller, so that the tracking error between a guidance signal and actual quantity is asymptotically stabilized back to zero. The involved algorithm framework can enable a whole closed-loop system to be globally asymptotically stabilized, and the control flexibility and tracking accuracy of a path tracking control system are greatly improved.

The invention discloses a swarm robot control system and method based on visual positioning, and the system comprises a video collection positioning unit, an upper computer unit, and a swarm robot unit. The video collection positioning unit is used for collecting an image in a movement range of the swarm robot unit, building a coordinate system, recognizing the pose information of each robot in the swarm robot unit, and transmitting the pose information to the upper computer unit. The upper computer unit is used for generating control information for correcting the movement posture of the robots in real time, and transmitting the control information to the robots through a wireless sensing network. The swarm robot unit consists of a plurality of robots, and is used for receiving and analyzing the control information, adjusting a walking strategy, and completing the following control of a path track and a group dispatching task. The system and method can achieve the accurate coordinative control of the movement states of the swarm robots through the technology of visual positioning, and complete the execution of a single task and a group of tasks simply, conveniently and quickly.

The invention discloses a traffic light-free intersection intelligent dispatching method for unmanned driving, which comprises the following steps: 1, an intersection-based traffic manager and a dispatching area are set, a collision avoidance area is divided, and a center control management mechanism with the traffic manager to coordinate vehicle communication and plan vehicle dispatching is built; 2, the traffic manager receives driving data of a specific vehicle entering the dispatching area, and the dispatching information for passing across the intersection is returned to the specific vehicle; and 3, according to guidance of the dispatching information, an unmanned vehicle is correspondingly adjusted to pass across the intersection, wherein the collision avoidance area is a cross areaof two lanes at the intersection and is divided to 16 square conflict areas with the same area, and the same square conflict area is only occupied by one vehicle at most; and the unmanned vehicle entering the collision avoidance area needs to drive at the same constant speed and in a set direction.

The invention discloses a quick generation method of a numerical control machining scheme of complex parts of an airplane, which mainly comprises the steps of: 1) obtaining machining technology information; 2) building the structural tree of the machining scheme; 3) generating the interaction display of the machining scheme; 4) quickly coding the machining scheme; 5) testing the effectiveness of the machining scheme; and 6) outputting the scheme. The method educates, normalizes and standardizes the machining scheme of the complex parts of the airplane, and improves the unitarity of the machining scheme, the reusability and the programming quickness, thereby shortening the programming period of numerical control machining scheme of the complex parts of the airplane, and improving the numerical control machining preparing efficiency and the machining quality.

The invention discloses a virtual reality rehabilitation training system and method. The system comprises a motion capture device, a mobile device and a processor. The processor is installed in the mobile device to form an integrated bedside device, and the processor is connected with the motion capture device. The motion capture device is used for acquiring patient's limb motion data in real time. The processor comprises a data receiving module, a processing module and a displaying module. The data receiving module is used for receiving the limb motion data. The processing module is used for emitting a driving signal, and assessing training on a patient according to the limb motion data to obtain an assessment result. The display module is used for displaying changes of three-dimensional human model's actions in real time according to the driving signal, and the assessment result. The mobile device comprises a device main body and a mobile mechanism connected at the lower end of the device main body, the device main body is provided with a height adjusting mechanism used for adjusting the height of the device main body. The virtual reality rehabilitation training system is low in cost, small in land occupation and convenient to move, so the system can be disposed beside a patient's bed.

A set-top box with a technical configuration and system and method for use of the same are disclosed. In one embodiment of the set-top box, the set-top box executes an technical protocol to make the set-top box and an associated television ready for use. During the installation, maintenance, or repair, a human-readable visual label and a machine-readable optical label are generated that contain information about the status of the technical protocol. The labels are forwarded, via the television output, to the television. The set-top box dynamically updates the human-readable visual label and the machine-readable optical label as the status of the technical protocol changes.

A clustering fusion method based on user electrical load data subdivision comprises the following steps of (1) collecting data, (2) modifying the data, (3) converting the data, (4) standardizing the data, (5) constructing a pretreatment clustering algorithm set, (6) building a consensus matrix, (7) running the clustering fusion method, and (8) collecting users. Due to the facts that results obtained in different clustering algorithms or in the same clustering algorithm by using different parameters are automatically combined, and a best clustering result can be automatically judged and generated through clustering fusion, the clustering fusion method based on the user electrical load data subdivision has the advantages of improving self-adaption processing capability of a clustering analysis model, reducing dependency degree to priori knowledge in a user electrical load data clustering analysis process, reducing manual operations, and improving automatic degree of the clustering fusion method based on the user electrical load data subdivision.

The invention discloses a radar remote sensing-based detection method of soil alkalization, comprising the following steps: computing the polarization parameter based on full polarimetric SAR data, dividing bare areas and vegetation-covered areas and generating images with masks; delimiting test areas and adopting measuring data to establish a dielectric model of moist salt soil; adopting the full polarimetric SAR data to invert a complex permittivity map and carrying out RD geocoding, data information separation and conversion; based on the dielectric model and the complex permittivity, adopting the genetic algorithm for inversion to obtain moisture contents and salt contents of areas, and integrating geographic coordinate information and a vegetation cover mask map to generate a moisture content map and a salt content map; adopting the complex permittivity and the moisture contents of areas to differentiate saline soil from alkali soil. By adopting the technical proposal of the invention, the moisture content and the salt content of the soil in saline areas can be obtained, the degree of dependence on ground assistant data is reduced and simultaneously the dielectric behavior of the moist salt soil can be better depicted.

The present invention relates to the technical field of networks, and discloses a method and a system for authority management based on a blockchain. The method comprises the steps that: each user generates respective mutually independent user secret keys by himself; the internal portion of an authorization server forms different role secret keys according to the high-low authorities correspondingto roles which the external users plays; an initiator user logs in the authorization server and uses his own user private keys and the role private keys corresponding to the user to create authorization transaction with another user; or, the initiator user uses his own role private keys to perform transaction and unlock the confirmed authorization transaction so as to create transaction with himself and form ex-right transaction with another user; the authorization server needs to verify digital signature information of the user who creates the transaction; and the forms of the user creatingthe transaction are recorded in a blockchain. The problems are solved that system centralization causes that performances and safety highly depend on a central processing unit, the authority information is not enough to be disclosed and transparent and both rights cannot be ensured at the same time in a traditional management and control system.

The invention provides an automatic division method for pulmonary parenchyma of a CT image. According to the automatic division method, the CT is divided through carrying out a random migration algorithm for two times to obtain the accurate pulmonary parenchyma; in the first time, the random migration algorithm is used for dividing to obtain a similar pulmonary parenchyma mask; and in the second time, the random migration algorithm is used for repairing defects of the periphery of a lung and dividing to obtain an accurate pulmonary parenchyma result. Seed points, which are set by adopting the random migration algorithm to divide, are rapidly and automatically obtained through methods including an Otsu threshold value, mathematical morphology and the like; and manual calibration is not needed so that the working amount and operation time of doctors are greatly reduced. According to the automatic division method provided by the invention, a process of 'selecting the seed points for two times and dividing for two times' is provided and is an automatic dividing process from a coarse size to a fine size; and finally, the dependence on the selection of the initial seed points by a dividing result is reduced, so that the accuracy, integrity, instantaneity and robustness of the dividing result are ensured. The automatic division method provided by the invention is funded by Natural Science Foundation of China (NO: 61375075).

The invention discloses a lane departure warning method, comprising the following steps: (1) information perception: providing the state information and the environment information of the current vehicle motion by a vehicular sensor; (2) track prediction: according to a driving behavior model of a human driver, predicting the possible traveling track range of a vehicle within a certain period of time in the future by combining with vehicle kinematics and a kinetic model; (3) lane departure warning decision: according to the possible traveling track of the vehicle and a left and right road boundary point range detected on a front road marker line, analyzing the vehicle motion safety by taking the relative relationship between calculation time from the possible traveling track of the vehicle to the detection point range on the lane marker line and a preset threshold time Tthre as an index of lane departure warning; and (4) man-machine interface: if the system judges that the vehicle is in the danger of departing from a lane, reminding the driver in sound or in other manners of taking proper actions. The lane departure warning method has the advantages of simple principle, high detection precision, simple integral structure after implementation, low cost, and the like, is simple to operate and can work stably and reliably.

The invention discloses a multi-mobile robot control system based on following a pilot formation, which comprises an experimental environment image acquisition module, an upper computer positioning module, a car-like mobile robot group, a communication module and a control algorithm module, wherein the experimental environment image acquisition module is used for acquiring video images of a plurality of mobile robot formation experimental environments; the upper computer positioning module calculates absolute position information of each robot in real time by using an image processing algorithm through a coordinate system calibrated via a camera; the car-like mobile robot group is composed of a plurality of single mobile trolleys, and an autonomous decision is made to complete the formation task; the communication module performs data interaction and information sharing through a wireless communication manner; the control algorithm module coordinates and controls the whole system to complete the formation task based on the pilot-followed formation algorithm. The multi-mobile robot control system based on following a pilot formation in the invention is a multi-robot formation systemwhich is based on visual positioning and suitable for the indoor and has the characteristics of strong reliability and strong real-time performance.

The invention discloses a system and method for grid fault identification based on a random point distribution PMU and belongs to the technical field of power system fault identification. The system comprises a fault relative domain identification module, a fault locating module, a fault component identification module and a domain backup protection module. A grid structure changing characteristic is evolved to a branch current difference by the fault relative domain identification module, so that fault relative domain identification is achieved; overall traversal is conducted on a relative domain by the fault locating module, so that accurate location of a fault point is achieved based on a node voltage matching condition; based on virtual current differential, protecting criteria are constructed through an opposite terminal calculated current and a home terminal actually detected current by the fault component identification module, so that fault component identification is achieved; according to domain backup protection operation logic, the near backup tripping function and the far backup tripping function are achieved by the domain backup protection module. Complete domain backup protection under the environment of random PMU point distribution is achieved and the dependence degree on synchronous data of protection is reduced to a great extent.

The apparatus and method convert the fuel system of an internal combustion engine in a pre-existing (used) vehicle to operate on a mixture of fuels (like ethanol and gasoline) from a single fuel tank. The apparatus includes a fuel composition sensor installed in the fuel line and an electronic control unit with at least one fuel injector driver circuit for controlling an output signal to at least one fuel injector for controlling the air to fuel ratio of the engine. The electronic control unit controls both ignition timing and the air to fuel ratio of the engine based upon the percentage or ratio of the alternative fuel to gasoline from the fuel composition sensor. The electronic control unit receives both timing signals and fuel injector control signals from the engine's original Engine Control Module and the original emission control devices are not modified or replaced.

The invention provides a method for processing an incoming call number and a mobile terminal. The method comprises the steps that the mobile terminal receives the incoming call of a strange number; the type of the strange number is determined; a user is prompted to process the strange number according to the type of the strange number, wherein the process for prompting the user to process the strange number comprises the operation that the user is prompted to store the strange number as a contact person number, or to drag the strange number into a blacklist or prompt the user to mark the type of the strange number. The dependency degree on the user is reduced, the workload of the user is reduced, and therefore the user experience is improved.

The utility model relates to a video measuring method for smoothness of road surface, which is characterized in that cooperation signs are arranged at measuring cars, the measuring cars is parked on the road, reference cooperation signs are fixed on the measuring cars, and a video device is fixed on the ground in front of the cars; during the measuring cars is driven on the measured road, the pictures of cooperation signs at different time are taken by the video device; at least a parameter of four parameters including height, sample interval, vertical grade and horizontal grade are acquired through image processing; the four parameters are combined into vertical section curve. The measurement system using the method meets the development requirement of modern high way construction, high precision, high reliability, high automation measurement, and is applied in high way and airport project.

The invention belongs to the field of business intelligence, and particularly relates to industry data-oriented index setting definition, management, storage and application of providing data analysis and support. The invention discloses an index-system-model-based agile business intelligence data construction method. An index calculation model and data storage function construction method for different industries and service fields is realized by using index data capable of distinguishing data characteristics as a center through dynamic extraction of the index data, index system configuration and attribute definition. The method comprises the following steps of: performing index system extraction by using a minimum granularity information unit as an index extraction principle, and then performing index attribute definition and setting. By the index-system-model-based agile business intelligence data construction method, the application of a business intelligence platform can be prevented from being constrained by specific industry and service, a basic data model for data analysis and application is quickly and effectively constructed, the construction problem of an on-line analytical processing (OLAP) model is solved, and a foundation is laid for efficiently constructing various data analysis and application models with high quality.