35results about How to "Guaranteed learning efficiency" patented technology

The invention discloses a method for managing functions of a mobile phone and the mobile phone. The method for managing the functions of the mobile phone comprises the following steps of: storing a curriculum schedule; setting function requests which are permitted within class hours; receiving a function request; judging whether the received function request is permitted within the class hours in the curriculum schedule or not, and executing a function corresponding to the function request if the received function request is permitted within the class hours in the curriculum schedule; and reminding a user that the function corresponding to the function request cannot be executed within the class hours if the received function request is not permitted within the class hours in the curriculum schedule. By the method and the mobile phone, only function requests such as electronic dictionaries which are permitted within the class hours in the curriculum schedule are executed, and functions such as games, short message sending, music appreciation and the like which are not permitted are not executed within the class hours, so the functions of the mobile phone can be managed on the basis of the curriculum schedule, teachers and parents can conveniently manage the application occasions and time of the mobile phones of students, the learning efficiency of the students can be ensured and influence on the teaching of the teachers can be avoided.

It is an object of the present application to provide an on-line course teaching assisting method and a computer apparatus, the computer device generates the focus information of the target student based on the motion detection information about the target student in a course period sent by the target user device, determining first evaluation information based on first feedback information sent bythe target user equipment during the course period, determining second evaluation information based on second feedback information sent by the target user equipment after the course period, and determining overall evaluation information of the target student based on the focus information, the first evaluation information and the second evaluation information. This application can take into account the feedback from the students, so that the enterprise can ensure the learning efficiency of the students and the service quality of online education in the case of large-scale operation.

The invention provides a social image retrieval method and system based on missing multi-modal hash. A shared potential representation is learned for completely paired data; a unique potential representation is learned for missing data; the relations between different modes of images and labelsare explored, an online hash retrieval mode suitable for completely paired data and missing data at the same time is constructed, hash codes are directly solved by designing a new discrete optimization strategy, the quantization error of a relaxation strategy in the prior art is effectively reduced, andthe retrieval performance is improved; on the basis of an unsupervised missing multi-modal hash method, the invention is expanded to a supervised learning mode, an asymmetric hash learning method is used for guiding a projection learning process, the identification capability of hash codes is improved, the binary hash codes are directly solved, the speed is high, the operation is simple, and the learning efficiency is ensured.

The invention discloses a speech recognition method based on a neural network model. The speech recognition method comprises the steps of: acquiring a training sample set, extracting first feature parameters of the training sample set, acquiring the neural network model which can be used for recognition, and establishing a template library; and acquiring a prediction sample set, inputting the prediction sample set into the neural network model, extracting to obtain second feature parameters, and performing matching prediction on the second feature parameters and the first feature parameters inthe template library to obtain an identification result, wherein a neural network comprises a convolutional neural network and a recurrent neural network which are arranged in sequence. Compared withthe prior art, the speech recognition method provided by the invention has the advantages that the convolutional neural network and the recurrent neural network are effectively combined and connected, so that the overall learning efficiency and robustness of the network can be improved and the speech recognition performance can be improved while the speech recognition accuracy rate is ensured.

The invention discloses a computer table convenient to use. The computer table convenient to use comprises a box body, the top part of an inner cavity of the box body is fixedly connected with a motor, a first belt pulley is fixedly connected to an output shaft of the motor, a worm is movably connected to the two sides of the inner wall of the box body, a second belt pulley sleeves the surface ofthe worm, belts sleeve the surfaces of the first belt pulley and the second belt pulley, and worm gears are arranged on both sides of the surface of the worm. The box body, the motor, the first belt pulley, the worm, a worm wheel, a threaded rod, a lifting rod, a threaded hole, a support rack, a table plate, the second belt pulley and the belts are cooperatively used, the problem that the existingcomputer table mostly cannot be lifted is solved, the computer table convenient to use has the advantage of convenience in use, the table surface is elevated to the proper height when people of different heights use the computer table, the study efficiency and the working efficiency of a user are guaranteed, the practicability of the computer table is improved, and the computer table is worthy ofpromotion.

The invention provides a feature selection method and device. The method includes the first step of generating a first training sample set, a first feature index set corresponding to the first training sample set, a second training sample set and a second feature index set corresponding to the second training sample set through response to received training sample sets, the second step of calculating a first element according to the first training sample set and completing updating of the first feature index set, the third step of calculating a second element according to the second training sample set and completing updating of the second feature index set, and the fourth step of calculating a feature index set according to the obtained first feature index set and the obtained second feature index set when the sum of the number of all features in the updated first feature index set and the number of all features in the updated second feature index set reaches a preset value, and then completing selection of the features. Consequently, withholding calculation is reduced, and the generalization capability is improved in the feature selection process on the basis of ensuring the learning efficiency.

The invention belongs to the field of learning path recommendation, and provides a personalized learning path recommendation method and system based on knowledge graph mining, solves the problem of poor matching between a learning path obtained by a traditional method and a corresponding learner, and can improve the learning path recommendation precision of the learner, so that the matching degreebetween the learning path and the learner is higher. The personalized learning path recommendation method comprises the steps that a learning path model is constructed based on a knowledge graph, andthen the knowledge graph is mapped into a general learning path graph; performing personalized processing on the general learning path diagram according to the learner features to obtain an alternative learning path diagram; taking all learning paths in the alternative learning path graph as initial learning paths; and generating a new learning path by using the genetic algorithm and the adaptivevalue of the learning path, and when a preset number of iterations is reached or the adaptive values of all generated new learning paths are greater than a preset threshold, stopping iteration and screening out the learning path with the highest adaptive value as a recommendation result.

The invention discloses a genic health-care granule for keeping in-vivo alkalescence and a preparation method of the granule, and belongs to a nutrient product from plant extract. The preparation method of the genic health-care granule for keeping in-vivo alkalescence comprises the following steps of: soaking materials including flammulina velutipes, nepenthe, beetroot and the like for three hours by 0.5N sodium hydroxide; getting out the materials for mechanically crushing and juicing; carrying out sieving, ion exchanging, eluting, vacuum concentrating, CO2 supercritical extracting, re-concentrating and vacuum drying to the filtrate to obtain extract; and mixing the obtained extract with certain parts by weight of inositol, sucrose, taurine, citric acid and a nutrition metabolism acid-base equilibrium regulator to obtain the genic health-care granule. The genic health-care granule disclosed by the invention can be used for supplementing nutrition and energy which are likely deficient but necessary to the human body when the people drink water, is convenient to use and capable of solving an acidic problem of the human body, so that alkalescence in the human body is kept on the metabolism level. Moreover, the genic health-care granule suitable for keeping in-vivo alkalescence of different crowds including the middle aged and the elder, the female, the mental works, the athletes and the like.

The invention discloses a service system based on online learning and intelligent evaluation, relates to the technical field of online education, and solves the technical problems that the learning content cannot be accurately evaluated and the learning efficiency is low when a user learns online. The system is provided with the plan making module, and the plan making module is used for making a learning plan by a user according to the conditions of the user, thereby enabling the learning plan to better meet the demands of the user, and preventing the user from learning excessive unrelated contents. According to the system, the learning effect evaluation module is arranged, the test paper is generated according to the knowledge points of the learning resources after the user finishes learning, the score of the user is obtained, the learning effect of the user is evaluated according to the score, the user is helped to discover own defects in time, and the learning efficiency of the useris ensured; according to the system, the efficiency analysis module is arranged, the learning process of the user is divided into small stages, the learning efficiency of the small stages is obtained, the learning efficiency curve is generated, and timely and accurate reference is provided for learning of the user.

The invention discloses an Internet education-based teacher resource analysis and control system, relates to the technical field of teacher resource analysis, solves the technical problem that the distribution of teacher resources cannot be accurately controlled in the prior art. Teacher resource analysis and control are carried out on each region so as to ensure that the teacher resources of each region can be ensured. resource management and control are carried out on each unqualified area, so that the resource management and control accuracy of each unqualified area is improved, the reorganizing efficiency and accuracy of the unqualified areas are improved, and the situation that due to the fact that the reorganizing direction of the unqualified areas is not accurate, resource waste is caused, the reorganizing efficiency is reduced, and improvement of regional education quality is affected is prevented; according to the method, resource prediction is carried out on the qualified area, the qualified area is predicted while reorganizing is carried out on the unqualified area, the situation that the education quality of the qualified area is reduced due to the fact that resources of the qualified area are abnormal is prevented, resource reorganizing efficiency is improved by monitoring in advance, and the work intensity of educational resource reorganizing is reduced.

The invention discloses a study desk with an anti-interference function. The study desk comprises a desk body, wherein the desk body comprises a desktop and retractable desk legs; the desktop comprises a first chopping board and a second chopping board; the first chopping board comprises a first board and second boards; the second boards are arranged on two sides of the first board and are rotatable and retractable; the first chopping board is arranged on the top of the second chopping board in a lifting manner; and shade cloth arranged in the first board and the retractable second boards whenvertical form a semi-closed space. The operating method comprises the following steps: acquiring voice information by a voice input module in an intelligent learning device and transmitting the information to a controller; setting break time and waking up by a timed wakeup module according to learning time of a study desk user, and transmitting the information to a screen lock module so as to lock the computer screen. The shade cloth and the retractable second boards form the semi-closed anti-interference space, a barrier capable of preventing visual interference is established, the area of the used desktop is expanded by virtue of a lifting manner of the first chopping board, and higher comfort is provided for the user.

The invention discloses a rectangular pencil box, comprising a box body and a box cover. The rear edge of the box body is connected with the rear edge of the box cover through a rotary shaft. The box cover rotates around the rotary shaft so that the box cover is opened and/or closed; the front side of the box body and the front side of the box cover are provided with an electronic lock, which is used for opening or closing the box body and the box cover; the box cover is provided with a fingerprint recognizer which is electrically connected with the electronic lock; a pen container is disposed in the box and is formed by connecting in parallel a plurality of cylindrical cavities; the pen container is mechanically connected to one side of the box body; sponge is disposed in the side of the box body provided with the pen container. The pencil box is convenient to use and high in safety.

The invention discloses an economics teaching display analysis device, which comprises a bottom plate, a storage battery, support columns, a frame, first partition plates, a fixed plate, a first placement groove, an integrated machine, a rotating plate, a second placement groove and second partition plates. The economics teaching display analysis device is clever in structure, powerful in functionand simple in operation. By using the device, teachers can quickly display various types of electronic chart forms to scholars for observation, and the device is convenient for scholars to conveniently analyze the charts of economics and ensures the study efficiency of the scholars.

The invention discloses an intelligent English auxiliary learning device and system, and relates to the technical field of English learning devices. The device comprises a storage assembly, a display assembly, an adjusting assembly and a connecting cavity, the storage assembly comprises a storage box, a placement groove is formed in the top of the storage box, a fixing shaft is fixedly arranged on one side of the inner wall of the placement groove, a clamping block is fixedly arranged at the bottom of the inner wall of the placement groove, and a connecting groove is formed in the placement groove, a storage groove is formed in the inner wall of the connecting groove, and a movable groove is formed in the bottom of the storage box. By arranging the storage assembly and the display assembly, the display screen body is stored through the placement groove, dust is prevented from falling into the display screen body when the display screen body is idle, meanwhile, the display screen body is protected, collision damage is reduced, angle adjustment can be conducted on the display screen body through cooperation of a supporting plate and a movable plate, and positioning is conducted through a clamping block after adjustment, the operation mode is simple and fast, and the usability of the device is guaranteed.

The invention discloses a self-adaptive learning system state parameter updating method, which is used for solving the problem that a relatively good self-adaptive learning system state parameter updating method does not exist at present. The method comprises the following steps: inputting preset learning data into an adaptive learning system to obtain an initial state parameter; inputting presetlearning data into an adaptive learning system for the target user to learn, and obtaining learning duration; calculating to obtain a current state parameter according to the learning duration of thetarget user; when the similarity between the current state parameter and the initial state parameter is smaller than a preset similarity threshold, calculating the learning rate of the target user according to the average learning duration of the target user and a preset learning rate algorithm; and according to the learning rate of the target user and the updating state parameter algorithm, obtaining an updating state parameter, and updating the initial state parameter into the updating state parameter. The method calculates and acquires the updated state parameter in real time to update theinitial state parameter, so that the learning efficiency of the user can be improved.

The invention discloses a household multifunctional learning device for linguistics learning in the technical field of education devices.The household multifunctional learning device comprises a base table, a learning table, a second motor, a lifting chair and a seat, the learning table is installed on the surface of the base table, and a shielding mechanism used for providing an independent learning space for children is installed in the learning table; the shielding mechanism comprises a dustproof cover shell mounted on a hollow groove formed in the surface of the learning table, and a motor I is mounted on the surface of the dustproof cover shell. According to the scheme, through the arrangement of the shielding mechanism on the learning table, when parents accompany and supervise children to learn, an independent learning space can be provided for the children through the shielding mechanism; therefore, the learning efficiency of children is ensured, and the self-discipline of children can be improved. After the shielding mechanism is folded, parents and children can play and communicate on the surface of the learning table, and the parents can tutorize the children, so that the learning ability of the children is improved, and more accompanying can be provided for the children.

The invention belongs to the field of children education, and relates to an online education technology, in particular to a children online education teaching system based on a big data cloud platform. The system comprises a processor, and the processor is in communication connection with a sign-in module, a learning detection module, a return visit module, an efficiency rating module and a cloud platform; and the sign-in module is used for recording sign-in conditions of students every day, the students carry out system login through user information, the user information comprises user names and passwords of the students, a teacher sets sign-in time before a course starts, the sign-in time is 20 minutes, 40 minutes or 60 minutes before the course starts, and the sign-in time is set and determined by the teacher. The sign-in condition of students every day can be recorded and summarized, and the sign-in time can be set to be twenty minutes, forty minutes or sixty minutes before class, so that the students need to get up to sign in in a period of time before class, and the situation that the learning efficiency is affected by direct class after the students get up is avoided.