47 results about "Online study" patented technology

The invention particularly relates to an audio / video combined monitoring method and a system thereof, belongs to the technical field of industrial environment monitoring, and aims to solve the problems in the prior art, for example, the monitoring is only conducted by video monitoring operators on duty, who are easy to be fatigue and hardly identify places with potential safety hazards, moreover, video monitoring is limited by functions and viewing angles, so that the potential hazard cannot be found in time, thereby missing rescue opportunities. The audio / video combined monitoring method uses audio signals and video signals at the same time to conduct environmental monitoring, and guides the operators on duty to selectively observe video windows by using the identification results of the audio signals. The processing method of the audio signals comprises the following steps: (1) feature extraction, (2) model training, (3) sound classification, (4) online study, and (5) hazard rating evaluation.

The invention discloses an urban-railway-system train intelligent control method based on driving experience and online study. The method obtains output of a controller through simulation of a driving strategy of an experienced driver, use of real-time data of train operation and reasoning and induction, and uses real-time information and speed-limit information of the trains to reasonably distribute the remaining time of train operation so that a time precision estimation value and a speed estimation value are obtained, and based on an MTDA algorithm of the real-time information, the method uses a train operation limit speed and current position, speed and time to deduct an expectation operation time and an expectation operation speed of train operation. Compared with a simulation result of automatic train operation (ATO) of a Yizhuang line of the Beijing city, the intelligent control method is capable of saving energy and improving on-time performance.

The invention provides a mobile augmented reality tracking registration method based on online study. The method includes the steps that back projection errors are reduced to optimize a position matrix of a camera, a coordinate system of a virtual three-dimensional object and a coordinate system of a scene plane are built, and then registration of the virtual object to a real scene can be more accurately finished; lost feature points are restored through a local region feature point fast searching algorithm, the detected scene feature points are online studied, weights of scene three-dimensional point coordinates are updated in real time, corresponding weights of three-dimensional points with large contributions are increased step by step, corresponding weights of three-dimensional points with small contributions are decreased step by step, a global value maximum projection matrix is calculated through study, and therefore augmented reality registration accuracy is further improved.

The invention provides an online study test question recommendation method and system. The method comprises the steps of acquiring question answering information of a user and test question-checked skill information from a knowledge resource database, wherein the test question-checked skill information includes test question-checked knowledge point information and test question-checked abstract ability information; performing study condition diagnosis on the study condition of the user according to the question answering information of the user to obtain a study condition diagnosis result; determining a candidate recommendation test question set according to the study condition diagnosis result and the test question-checked skill information; recommending the determined candidate recommendation test question set to the user. According to the invention, test questions recommended to users are more targeted, the requirement for individualized online study of users is met and the study efficiency of users is effectively increased.

The invention discloses a method for user online study monitoring based on voiceprint recognition. The method comprises the following steps: firstly, collecting the voice of a user and extracting voiceprint characteristic when the user registers an account through an online study system; secondly, creating a voiceprint model for the current account of the user according to the voiceprint characteristic of the users based on a universal user voiceprint model; thirdly, uploading the monitored user voice to a server each time the user logs in the system to perform oral learning; and fourthly, extracting the voiceprint characteristic of the voice and performing match with the voiceprint model registered by the user, a successful match proofs that the user himself is learning, otherwise, an alarm is sent in time and the user is reminded. The method for user online study monitoring based on voiceprint recognition, provided by the invention, through collecting voice during oral learning of the user and extracting voiceprint characteristic, can perform real-time monitoring on user identity, protect account safety of the user, and monitor oral learning condition of the users.

The invention relates to a method and a system for automatically segmenting hairs in head images. The method comprises the following steps of: (1) extracting the head images containing the face and the hairs by a face detection and characteristic positioning algorithm, and carrying out normalization on the extracted head images; (2) obtaining position prior models according to hair pixel points marked in all the head images for the head images with the marked hairs in a training set, extracting characteristics and carrying out the study of hair and non-hair SVM (Support Vector Machine) classifiers; (3) selecting hair seeds and background seeds from images to be segmented according to the position prior models and the hair and non-hair SVM classifiers; (4) extracting characteristics from hair seed areas and background seed areas, and finishing the online study of the hair and non-hair SVM classifiers corresponding to the images to be segmented according to the characteristics; and (5) carrying out hair segmentation according to the hair and non-hair SVM classifiers corresponding to the images to be segmented and the position prior models. By the method and the system, the hair-segmenting accuracy can be improved.

The invention provides a method and system for achieving online study interaction. The system comprises a user login entry. The method comprises the steps that when the user login entry receives correct user login information and a request for confirming login, a user interface corresponding to a user is called for displaying; when an entry of a certain preset course is triggered, a study interface corresponding to the course is called for displaying; when any study task in a study task list is triggered, a task participation interface corresponding to the study task is called, so that a learner finishes the corresponding study task according to the preset task requirement. According to the method, while it is ensured that the learner acquires knowledge, behaviors can be improved, skills can be improved, and then performance is promoted; the learned knowledge can be applied well in the study interaction process.

An optimization cooperative control method for discharge of nitrogen oxides and particles of a high-pressure common-rail diesel belongs to the technical field of diesel optimization control. A multi-input multi-output execution dependence heuristic dynamic-similar planning method is provided for optimization cooperative control of control variables such as rail pressure, EGR (exhaust gas recirculation) rate, oil jet quantity and oil jet timing which affect NOx (nitrogen oxides) and PM (particle matters) discharge of the high-pressure common-rail diesel. The method includes designing a utility function, designing an evaluation network, designing an execution network, offline study and online study. The problem of 'dimensionality disaster' in dynamic planning and control discharge of the diesel is solved, no mathematical model of a controlled object is needed during online application, and NOx and PM discharge can be synchronously optimized under all operating conditions. Further, potentials of purification in a cylinder of the high-pressure common-rail diesel are fully explored, load and requirements on a tail gas post-treating device are reduced, and accordingly the tail gas emission standard of the high-pressure common-rail diesel is raised with low cost.

The invention belongs to the field of self-adaptive control, discloses a dynamic surface control method of a lower triangular non-linear parameterization system, and provides a novel algorithm which is combined with the dynamic surface control and the immersed and constant self-adaptive expectancy rate. In the control method, various external disturbance and unmodeled dynamics are suppressed by combination of the dynamic surface control and the robust effect, the problem of calculating expansion due to the backstepping process is avoided; uncertainty of parameters and unknown non-linear function in the system are distinguished, affection of the uncertainty of parameters is minimized and particularly the affection of the uncertainty of parameters to control performance is reduced to the greatest extent by means of the immersed and constant self-adaptive expectancy rate of an online study module; and finally the action of the self-adaptive expectancy rate and the action of the robust control are combined organically by a coordination module. The control method has the advantage of guaranteeing excellent dynamic performance and steady-state performance of the system simultaneously.

The invention aims at providing a diesel engine electronic speed adjusting method based on reinforced study of a proportion integration differentiation (PID) controller. The method includes the following steps that initial values of ratio, integration and differentiation of the PID controller are set according to diesel engine target adjusting rotary speed, an initial control strategy of a decision unit is formed, and output control quantity of the PID controller is calculated; an electromagnetic executer drives a high-pressure fuel pump rack according to the control quantity output by the PID controller, circulation fuel supplement quantity of a fuel pump is changed, and the rotary speed of the diesel engine is adjusted; a value function of a current speed adjusting strategy is calculated, when V*(t)=ma x V(t), the current speed adjusting strategy is the optimal, when V(t) is not equal to ma x V(t), the control strategy is updated, and different PID parameter values are selected; the steps are updated in circulation mode, and finally the value function of the control strategy corresponding to different target rotary speed n1, n2,... meets the condition that V*(t)= ma x V(t). By evaluating and updating PID parameters in real time, online study of an optimal speed adjusting control strategy is achieved, electronic speed adjusting adaptability of the diesel engine is improved, and an operation index of the diesel engine is improved.

The invention relates to a thread performance prediction and control method of a CMT computer system, which is designed to solve the technical problems of accidental starvation and stagnation of threads, misuse of resources, priority inversion and so on in the existing CMT system. The method comprises guiding the distribution of key resources (RRF, rename register file) in the CMT system by using the performance-resources dependency relationship model to predict and control the thread performance; acquiring and adjusting the model parameters by thread sampling and online studying to real-timely track and accurately predict the thread performance; and calculating the number of the key resources desired for achieving the performance by use of a parameter determination model according to a set performance requirement, and re-adjusting the resource distribution. The method provided by the invention has the advantages: the model is simple and can accurately describe the dependency relationship between the performance and resources; the method has high adaptability to realize accurate performance prediction and control of all kinds of threads; the method supports two control modes of absolute performance and performance percentage; and the method is low in realization cost, is easy to realize on basis of the existing system structure and can realize ordered distribution of multi-threading chip resources and performance predictability and controllability.

The invention provides an online study and examination system and method based on artificial intelligence. A manger calls a question bank managing module to record examination questions; an examination paper managing module is called to generate an examination paper in a fixed examination paper or random examination paper or fixed examination paper and random examination paper combined mode; a system managing module is called to set the examination time and mode, and the login permission is authorized to an examination user; the user calls an examination taking module to receive and take an examination issued by the manager through a manager terminal, and an examination paper recovering module is called during the user examination taking period to recover the examination paper of the examination that the user takes in real time; after the set examination time is reached and the user hands in the examination paper, a counting and analyzing module is called to conduct examination resource counting, the examination paper is corrected in a machine scoring and manual marking combined mode, and user mark distribution and wrong question distribution are counted; and a wrong question storing module is called to store the wrongly-answered examination questions of the examination paper which is completed by the user taking the examination. According to the online study and examination system and method, using is convenient, an examinee is examined fairly and objectively, the workload of paper inspection and question setting is relieved, and the examination efficiency is improved.

The invention discloses a self-amending method of a standard error of a ship-based wind speed and direction transducer, which can improve the measurement accuracy of a device through online study. The technical scheme is that the self-amending method of the standard error of the ship-based wind speed and direction transducer is characterized by comprising the following steps: when relative wind speed value VR, sailing wind speed Vs and real wind speed VT satisfy 0.5<=VR-(VS+-VT)<=0.5, and the real wind speed VT >= 5.0 m / s, the standard error alpha is equal to DR; when the relative wind speed value VR, sailing wind speed Vs and real wind speed VT satisfy -0.5<=VR-(VT-VS)<= 0.5, and the real wind speed VT >= 5.0 m / s, the standard error alpha is equal to DR-180; when above limit conditions are satisfied, an amending window of the standard error is opened, a standard error value alpha 1 is obtained; along with the ship sailing under different gestures, the n standard error values are obtained and respectively marked as alpha 1, alpha 2, ...alpha n. When the n standard error value is obtained, one maximum value and one minimum value are rejected, and the remaining (n-2) values carry out the arithmetic mean, thus the standard error is obtained; the measurement result of wind speed and direction is amended by using the obtained standard error: DR=DR-alpha, and the record is amended; then the error amending in this turn is completed.

The invention discloses a capacity and coverage combined optimization method in a heterogeneous dense network, relates to the heterogeneous dense SON self-organizing network field. According to the method, a network average spectrum efficiency and edge spectrum efficiency combined optimization method for carrying out small cell power control based on fuzzy logic and Q study is used. The method of the invention comprises following steps that: firstly, the dense small cells measures network average spectrum efficiencies and edge spectrum efficiencies in an adjusting period according to the measurement report information on a moving table; then the powers of the dense small cells, the average spectrum efficiencies and the edge spectrum efficiencies are taken as the input variables of the fuzzy logic; the self-optimizing control processing of the fuzzy logic and Q study is carried out; and the network is self-adaptively converged to ideal capacity and coverage combined optimization adjusting sate. According to the method, the capacity and coverage problems in deploying high dense small cells is effectively improved by an online study mode; the problems are caused by irrational power setting; and the method has certain practicability.

The invention provides a web-based collaborative learning (WBCL) system and method. The WBCL system comprises a user grouping platform, a public reading room and at least two user online study rooms. By using the system and method, information among users in the system can be interchanged, interaction and exchange among the users in the system can be strengthened, and collaborative learning is realized.

A system and method for presenting an online study guide and testing program is presented herein. In particular, the system and method includes a plurality of test questions stored within a database or question bank and a plurality of testing materials corresponding to subject areas, topics, and specific categories. Each of the test questions are coded or otherwise include a study code associated therewith, the study code representing a particular subject area, category or sub-category. Similarly, the study materials are also coded to represent a subject area, category, or sub-category. Accordingly, once a student has completed a test or assignment, the system and method will automatically detect the student's weak areas via wrong answered questions and provide the study code. The student can then obtain study materials relating to that study code in order to advance his or her knowledge in those weak areas.

The invention discloses a real-time target tracking method based on online study. Through structuring a video collecting module, an ELM classifier initial training module, a target tracking module, a classifier updating module and a video storage module, the real-time target tracking method based on online study is realized. The video collecting module reads image data, the ELM classifier initial training module forms an initial ELM classifier, and the target tracking module tracks and positions the target; the ELM classifier updating module updates the ELM classifier and the video storage module to compress and encode the video. A target location based on a particle filter uses limited particle number to generate candidate samples, thus the calculation amount is reduced, and the calculating efficiency is improved; the ELM classifier based on the online study realizes the real-time gain study of the training sample, rapidly adapts to the target appearance change, and promotes the target tracking precision.

The invention discloses a mobile learning system. A mobile learning platform is used for realizing an interaction learning process through the Internet and the client terminal; a mobile resource platform is used for providing resources needed by interaction study to the mobile learning platform; a user management platform is used for providing user data information to the mobile learning platform; a teaching management platform is used for performing recording, management and analysis on a teaching process, a teaching result and teaching quality of the mobile learning platform according to user data of the user management platform. Through the mobile learning system, teachers and students can access the mobile learning system through the client terminal, particularly a mobile phone terminal; the mobile learning system can increase the interestingness through demonstration and interaction design and can perform specific regulation and improvement on teaching through automatically performing recording, statistics and analysis on online study states of students.

The invention discloses an online adopting transaction platform which belongs to the field of electronic commerce technology. The online adopting transaction platform comprises a seller user module and a foreground user module. The seller user module comprises a seller registration module, a logging-on module, an information display module, a commodity display module, an order management module and a commodity maintenance module. The buyer user module comprises a buyer registration module, a logging-on module, a commodity searching module, a commodity transaction module, an online payment module, an experience sharing module and an online studying module. According to the online adopting transaction platform, direct online adoption of the commodities such as fruit trees from a farm or an orchard by a user is allowed. After fruit tree adoption by a client, the client can understand a fruit tree maintaining process and farm trends in an online manner, thereby improving interaction between the client and the farm or the orchard. The user further can write wishes on Internet or the fruit tree for himself or friends. Adoption experience and mood stories are shared in an online manner. An entertainment function is performed, and furthermore added value of the commodity is increased. The online adopting transaction platform further has advantages of no requirement for logistics, and effective cost reduction.

The invention discloses a target tracking method on the basis of online study for a context relation of a space-time structure. The method is used for tracking target images in videos, and includes steps of creating a time-structure context model and a space-structure context model for target tracking; sampling areas, where an object probably appears, in a video frame to obtain sample images; inputting the sample images into the time-structure context model and the space-structure context model to obtain time probability results and space probability results which indicate various sample points in the sample images are areas with the target; and fusing the space probability results and the time probability results to obtain posterior probabilities indicating that the various sample points belong to the areas with the target, and using a sample point corresponding to the maximum value of the posterior probabilities as a final result of target tracking. The target tracking method has the advantage that the target can be accurately positioned via automatic online study for representation features of the target under the condition that any information of the target and any information of scenes with the target are unknown.

According to embodiments of the disclosed technology, a study method and system are provided for motivating students to conduct school exercises while allowing parents to assess whether the students fully comprehend given subject areas. The method may facilitate student interaction within given subject areas. The method & system may employ artificial intelligence in that it may monitor a student's moral and / or motivation while studying a given a subject. As such. the system may detect a dip in moral by assessing several parameters surrounding the answering of one or more questions. The system may, in turn, seek to increase moral by feeding that student easier questions or questions which are deemed to be of a subject area in which the student is proficient. The system may take countermeasures if a student is demonstrating high proficiency in a subject.

The invention relates to an inverse-model control method for a generator excitation system, including the steps: (1) terminal voltage signal Vt is collected from the generator, and sent to A / D converter for sampling, and Vt (k) is collected after sampling and read into the CPU; (2) the deviation e between the sampling value Vt (k) and the expected value V<*>t (k+1) is calculated, when e is greater than or equal to 0.005, the controlled quantity of excitation is calculated according to Step (3); otherwise, the excitation system does not act; (3) the controlled quantity of excitation is calculated as u(k)=u(k-1)+ triangle u(k), therein, triangle u(k)= V<*>t (k+1)-Vt(k) / f<1>[q(k-1),u(k-1)]; and when | triangle u(k)|is more than Delta (k), triangle u(k)= Delta (k)question mark sign(triangle u(k), herein, sign(question mark) is a symbolic function, Delta (k) is a limit to the physical characteristics of the excitation system; (4) the calculation result triangle u(k) is sent into D / A convertor, and the signal acts onto the excitation system directly. According to the expected value and the calculated value of the terminal voltage of he generator, and inverse-model control of the excitation system is achieved through the control law designed off-line. The invention is easy to implement, the computation is rapid, online study or parameter adjustment is not required, and the generator has excellent terminal-voltage adjusting performance.

The present invention discloses an online training monitoring method based on sound image process tracking, belonging to a remote monitoring method. The method comprises the steps of (1) building a sound image process tracking platform and setting a background module, (2) carrying out identity authentication, (3) carrying out processing tracking that: starting a network camera to capture user face information at any time in an online study video playing process, starting sound collection equipment in the online study video playing process, collecting the sound command of the user regularly, realizing the positioning of the user according to the collected sound command and face information collected regularly, and reminding the user and temporarily stopping playing if the sound command and the face information do not match. The method has the advantages that the face identification is started in starting and the face identification monitoring is carried out for each time interval in the online training, the related operation of the online video is carried out through the sound command, the online time of the online user can be effectively monitored and the same user is ensured in the online training process, and the cheat and substitution of other people for study are avoided.

The invention relates to the technical field of an online study method, in particular to a course independent online study method based on VR videos. The method comprises the following steps of S1, system building; S2, user registering; S3, subject building; S4, data uploading; S5, exam setting; S6, subject learning: a student logs in a portal website through a special client App for students, andthen applies the subject to be learned according in a subject block; after the application is completed, the student can open the VR teaching videos uploaded by the teacher for study; the study progress can be automatically stored in a user archive during the system exiting in each time; S7, cost payment. The invention provides the study method based on network and VR technology, so that the network teaching is more flexible and free; the teaching quality can be favorably improved; the diversified study requirements of students can be met; the special courses can be customized for each student.

The invention relates to an online study assessment method and an online study assessment system based on Internet. The online study assessment system comprises a course creation module, a log-in module, a homework module, an assessment module, a notation module and an arbitration module. When a learner questions about the homework evaluated by a checker, the learner can propose the question to an arbiter through the log-in module. The online study assessment method comprises the following five steps: (1) a course creator creates on-line courses and assigns homework; (2) the learner dos and submits homework; (3) the checker evaluates the accomplished homework and returns the test result to the learner; (4) the learner affirms the text result of the checker; if the leaner questions about the test result, the learner proposes the question, and the arbiter carries out the final test and provides the test scores. The online study assessment method and the online study assessment system provided by the invention enhance the interaction between the learner and the course creator, and enhance the accuracy of the online study by questioning.

The invention discloses an online study abroad consulting platform, which comprises a login module, a database module, a charging module and online customer service consultation, wherein the login module comprises a mobile phone number input module and a verification code input module; the database module comprises a user information database, a foreign school database and a study abroad video database; the charging module performs charging according to the number of clicks on the study abroad video database by the user. In any network surfing place, after a person inputs a mobile phone number through the mobile phone number input module, a verification code is received on the mobile phone, the verification code is filled in the verification code input module, the database module is entered, the user can know the information and the enrollment condition of each foreign school through the foreign school database, the user can make a correction choice about a school for study abroad, the user can request to broadcast a study abroad video when the user wants to know other study abroad conditions, and the charging module performs charging according to the number of videos broadcasted under request of the user.

The invention discloses a timescale-separated aircraft elastomer intelligent control method based on a neural network and belongs to the field of aircraft control. The method is used for solving the problem that existing elastic hypersonic aircraft control methods cannot achieve high-precision control under the influences of uncertain information and elastic vibration. According to the method, firstly, based on the capability of solving a multi-timescale problem through a singular perturbation theory, fast-slow timescale decomposition is conducted on a hypersonic aircraft to separate a rigid modal from a soft modal; secondly, control algorithm design is conducted on the rigid modal and the soft model separately, uncertainty existing in a slowly varying timescale part representing the rigidmodal of a system is taken into account, the neural network is adopted for online study, then a construction weight updating rule of a Lyapunov method is adopted for ensuring the stability of the system, an intelligent control strategy is designed, and a sliding-mode control method is designed on the basis of a fast varying timescale part representing an elastic modal of the system; finally, thetwo control input modes are combined into a whole part to serve as a general rudder deviation instruction to achieve effective tracking of an altitude instruction, and meanwhile effective suppressionof the elastic modal is achieved.

The invention provides a patient education cloud system for use by a clinical doctor. The patient education cloud system comprises the components of a system background web end which is used for establishing a preset program and issues an online studying curriculum and an offline studying curriculum that are related with the preset program; a system cloud server which is used for transmitting theonline studying curriculum to an online studying system and simultaneously transmitting the offline studying curriculum to an offline studying system; a doctor mobile terminal which is used for inviting a patient in a patient educating program and issues conference information of patient educating conferences for managing and urging a studying progress in a patient program; a doctor web end whichis used for organizing offline curriculum studying of the patient and patient interaction and disease knowledge test which are related with the patient educating conferences; and a patient mobile terminal which is used for logging on the online studying system by the patient for studying the online studying curriculum; and furthermore makes the patient participate into the offline studying curriculum through the doctor web end for performing patient interaction and disease knowledge examination. Through online-and-offline combination, a whole process of disease knowledge studying is finished through helping of a doctor.

The invention relates to the field of video monitoring technology, and particularly to a video monitoring method based on analog digital interconnection and compelling. A device according to the method comprises a central processing system, an interaction system, an infrared sensing signal processing module, an image acquisition module, a signal transmission module and a communication module. According to a monitoring terminal, when no man enters a monitoring area, the monitoring terminal is in a low-energy-consumption dormancy state; when an infrared sensor detects a fact that a man enters the monitoring area, the terminal is waken up and starts image photographing, thereby effectively reducing system energy consumption, reducing data volume in transmission and storage, and realizing no omission of a monitoring object. The interaction system is used for realizing remote interaction. Online studying communication and monitoring are realized. A communication barrier between an analogy system and a digital system is eliminated. Deep interconnection and compelling of the video are realized. A good lesson taking environment and a whole lesson taking flow are supplied to a user. Furthermore high creativity is realized.

The invention discloses a police three-dimensional GIS data intelligent application system. The system is composed of a data acquisition system, a data research and judgment system and a data application system. According to the invention, air-ground information superposition, accurate alarm pushing, accurate force delivery and tactical application optimization can be realized, digital library building, integrated sensing and large-scale application are formed, and a new synthetic combat mode of large system integration, large data integration and large command pattern is realized. According to the invention, multi-modal video information, a tactical analysis model and three-dimensional GIS data are used as supports; the situation, the occurrence mechanism and the evolution rule of the important warning situation site can be mastered in advance; event causal relationships and corresponding disposal strategies are rapidly deduced, online study, judgment, deployment, command and supervision are rapidly completed, a new synthetic combat mode of 'front emergency disposal and background data support 'is formed, risk management and control and three-dimensional prevention are completed in advance, and the system is a new police basic support type actual combat product.