119 results about "Training needs" patented technology

Context-aware training systems, apparatuses and systems. The context-aware training systems, apparatuses and systems are computer-implemented and include sensing a user action and, based on a training needs model, estimating a cost or benefit to exposing the user to a training action, selecting a training action from a collection of available training actions and delivering the training action to the user if the user action indicates a need for the user to be trained and the cost or benefit to exposing the user to the training action indicates user exposure to the training action is warranted.

A system and method for matching potential employees with potential employers over a network. Potential employers provide position information for one or more job openings over the network to a employee recruitment, job matching and job placement system. Case workers work with potential employees in assessing the potential employees and providing the potential employee's job qualification information, physical and behavioral health information and social needs over the network to the employee recruitment, job matching and job placement system. The employee recruitment, job matching and job placement system compares the information for the potential employee with the position information for at least one job opening and generates a list of job openings and corresponding matching percentages. A matching percentage is the percentage of the received information from the potential employee matches the position information for a job listing of a potential employer. The employee recruitment, job matching and job placement system generates a job placement plan indicating physical rehabilitation accommodations, health education and training needs if applicable for the job listings selected by the potential employee.

The present invention comprises a security system integral with a sedation and analgesia system. The invention includes a computer assisted IV drug infusion administration device coupled with a secure user interface, or other security means, that can restrict and monitor user access to prevent unauthorized or improper use of the device. The system can also provide varying levels of access to the device so that different users may have different levels of access to system operations. The variety of access levels may prevent accidental or intentional misuse of the drug delivery system, while still permitting access to the required functionality. Data, such as usage statistics and procedural events associated with drug delivery, may be recorded in association with a user's personal identification information to help identify training needs and to identify possible misuse of access information.

A computer based simulation system for virtual training for vehicle crews is disclosed. The vehicle crew training system (VCTS) simulates crew positions for different military vehicles. Two or more crewman modules are networked together to support a partial or full vehicle crew. The crewman modules are self-contained devices that are modular in hardware and software design, easily reconfigurable, and that require minimal facility space, allowing use in restricted environments such as trailers. The VCTS is modular at the crew position level; crewman modules are added or deleted as required to meet a particular training need. One of the crewman modules can be a gunner module, which provides an unrestricted view of the simulated environment to the gunner by means of a display and a simulated vehicle-mounted weapon.

The invention provides a supplementary motion system and a control method thereof. The system comprises a data acquisition unit, a signal processing signal, a motor driver and a mechanical actuating mechanism, wherein the data acquisition unit is used for acquiring electromyographic signals of a plurality of parts of limbs; the signal processing unit is used for respectively extracting time-domain characteristics and frequency characteristics of the electromyographic signal of each part and training and identifying multi-joint coordinated action types of the limbs by adopting a parallel mode classification algorithm; the motor driver is used for driving the mechanical actuating mechanism to actuate according to the action types; and the mechanical actuating mechanism is used for assisting the limbs to finish the corresponding actions under the drive of the motor driver. By adopting the system and the control method thereof, a user can select a training mode by setting a mechanism actuating structure as active training or passive training; and the system can automatically sense the action intention of the user, coordinate the user to finish training needs with different strengths and speeds, and improve the motion function rehabilitation effect.

A computer based simulation system for virtual training for vehicle crews is disclosed. The Vehicle Crew Training System (VCTS) simulates crew positions for different military ground and air vehicles. Two or more crewman modules are networked together to support a partial or full vehicle crew. The crewman modules are self-contained devices that are modular in hardware and software design, easily reconfigurable, and require minimal facility space, allowing use in restricted environments such as trailers. The VCTS is modular at the crew position level; crewman modules are added or deleted as required to meet a particular training need.

The invention relates to a behavioral abnormality automatic detection method and a behavioral abnormality automatic detection system aiming at a computer system. The method comprises the following steps that: the system is monitored; historical performance index data and real-time performance index data of a detected machine are collected in a time sequence form; a time sequence pretreatment algorithm is used for performing steps of data segmentation, denoising, peak point extraction and time sequence rebuilding; the behavior similarity among all segments of time sequences is calculated through a time sequence dynamic alignment algorithm, so that a time sequence similarity matrix is built; and finally, a behavioral abnormality index in each time segment is calculated by a Markovian random walking sequencing algorithm from the similarity matrix. The method and the system provided by the invention aim at the behavioral abnormality detection problem in the computer system; the machine behavior features in a segment of time are comprehensively considered; through the similarity among behaviors in all time segments, the Markovian random walking sequencing is used for performing comprehensive sequencing and abnormality marking; and the intelligent behavioral abnormality detection with a high automation degree, a high detection rate and no training need is realized.

The invention discloses a multi-function animal weight-losing running table and a control system thereof. The running table comprises a running machine, a weight-losing support device and a recovery robot. Running training or combination training of running training and electric stimulus is performed on the experimental animal by arranging organic glass and a stimulating electrode on the running machine; and the weight-losing running table training combining running table training and weight-losing support is performed on the experimental animal by arranging the weight-losing support device on the running machine. In the process of weight-losing running table training, the recovery robot can assist hind legs of the experimental animal in doing exercise training, so that a correct or preset training task is provided for a passive training model, the movement locus of the hind legs in the positive training model is recorded and the record is used for quantitatively evaluating the exercising function. The invention also provides a medicinal animal experiment device which is mainly used for walking function recovery of the experimental animal with hurt spinal cord and providing the animal running table training needed by sports medicine.

The invention generally describes learning solutions and related methods for managing the learning and training needs of an organization in a manner that is responsive to dynamic business timelines, goals and strategic objectives. Business goals are determined through examination of existing business data sources, so as to tailor learning solutions to business impacts. Accurate computations of return on training investment are provided to allow accurate assessment of the effectiveness of training programs. Also disclosed are networks of learning platforms that together implement the learning solution by providing electronic tools and information sharing capabilities needed by a learning solution services provider to efficiently implement and manage learning efforts according to the business desires of a complex learner organization, while receiving organization performance data in order to compute and report performance measurements.

The invention relates to an omnidirectional mobile tennis ball serving robot and a use method thereof, which comprises a four-wheel drive mobile chassis, a ball storage device for storing tennis balls is installed on the top of the four-wheel drive mobile chassis, and a ball storage device is installed on the bottom of the ball storage device. The ball sending device, the outlet of the ball sending device is connected with the ball sending pipe, the outlet of the ball sending pipe is connected with the ball-serving mechanism, and it also includes electric control hardware and electric control software. It can simulate a real person's serve to meet the training needs of athletes and tennis fans.

Data representative of operation of biomedical equipment in a medical facility is collected and stored in a centralized database. The information may be collected manually during the life of the equipment, or automatically by connection to the equipment. The data references equipment types, manufacturer, departments, locations, and other relevant information for the equipment. Based upon the collected and stored information, parameters representative of possible training needs is analyzed and reported. The parameters may include error, breakdowns, and the like. Detailed reports delivered to the medical institution may thus provide a basis for planning training to enhance performance and utilization of the equipment.

Context-aware training systems, apparatuses and systems. The context-aware training systems, apparatuses and systems are computer-implemented and include sensing a user action and, based on a training needs model, estimating a cost or benefit to exposing the user to a training action, selecting a training action from a collection of available training actions and delivering the training action to the user if the user action indicates a need for the user to be trained and the cost or benefit to exposing the user to the training action indicates user exposure to the training action is warranted.

A weighted skull cap comprising integral weights for strengthening neck muscles during sport or physical therapy activities is herein disclosed. The apparatus comprises multiple layers that conceal a plurality of individual pockets about an entire interior surface of the cap. Each pocket comprises a flap-style locking closure for placement of a weight and secured with a fastening means to assist in retaining the weights therein the pockets during exercise activities. Each weight quantity is varied by the user to suit individual training needs.

The invention relates to a full reference fusion-based image objective quality evaluation method. The method comprises the steps of selecting a picture database as an input of model training, groupingpictures according to distortion types, and obtaining file names and tags of picture groups, wherein the pictures with different distortion degrees exist in each distortion type; performing feature extraction, selecting and using multiple full reference measurement algorithms to score the pictures in each distortion type, calculating the picture groups by the full reference measurement algorithmsto obtain eigenvectors, and forming a feature matrix by the obtained eigenvectors; performing data preprocessing, normalizing eigenvector scores corresponding to the distorted image tags and the distortion types to be in ranges (1,100) and (0,1), and performing transposition processing to meet SVM training needs; and performing feature training to obtain a quality evaluation model.

The invention discloses a driver training appointment method and system. The method is on the basis of a background management system, a trainer system and a trainee system; trainers and trainees respectively log in the trainer system and the trainee system through a mobile terminal; the background management system is configured with a database; the trainees log in the trainee system to acquire the driver training school information, the trainer information and the subject information from the database, select course arrangement in matching with the trainers and pay corresponding fee. After payment is accomplished, the corresponding trainers select refuse or receive in the trainer system. Through the method, manpower source waste of driver training school workers can be reduced, errors can be avoided, fairness of appointment is guaranteed, moreover, a trainee can increase driver training class hours and contents according to personal conditions after finishing prescribed training class hours, and customized and different training demands are satisfied.

The invention discloses a strong variable extracting method and device. The method comprises the steps that strong variables are constructed based on fundamental variables in a fundamental variable pool, and a strong variable candidate set used for the k round of iterative training is formed; the k round of iterative training is conducted on a feature selection model on the basis of the strong variable candidate set, wherein the k is a positive integer of which the value is increased successively, and the value of the k is larger than or equal to one; features output by the feature selection model are merged into a selected feature set, and the output features are the strong variables extracted from the strong variable candidate set after the k round of iterative training is conducted on the feature selection model; it is determined that the (k+1) round of iterative training needs to be conducted on the feature selection model on the basis of a residual error of the feature selection model subjected to the k round of iterative training; the fundamental variables used for constructing the features in the selected feature set in the fundamental variable pool are screened out. By means of the strong variable extracting method and device, the strong variables can be effectively extracted from weak variables.

The invention provides a leg strength rehabilitation training device which comprises a top plate, a carrier plate, a spring, a lower suspension, a first gear, a second gear, a connecting plate and a pedal. The top plate is fixed to the front end face of the carrier plate, and the rear end of the spring is mounted on the front end face of the top plate. By means of the design, the knee joint and the ankle joint of a patient can be exercised at the recovery preliminary stage of the patient, the first gear is mounted on the lower suspension through a rotary shaft, the second gear is mounted on the left side of the connecting plate, and gear teeth of the first gear and gear teeth of the second gear are engaged. The connecting plate is arranged on the lower side of the first gear, the connecting plate is mounted on the lower suspension through a rotary shaft, and the pedal is mounted on the right side of the connecting plate through a rotary shaft. By means of the design, the patient can obtain leg training of proper strength at the recovery middle and later periods of the patient, the riding stability of the patient is improved, and the leg strength rehabilitation training device is convenient to use and operate, capable of meeting training needs of the patient at different recovery stages and high in reliability.

Disclosed is a business driven learning solution and related methods for managing the learning and training needs of a sales-oriented organization in a manner that is responsive to dynamic business needs. The invention employs modules of interrelated and interdependent business processes for the identification and prioritization of learning needs, the selection of learning approaches, the development of learning content, the coordination and delivery of learning instruction, and the overall management and administration learning efforts. Embodiments of the inventions disclosed include sales training objects to provide a template for sales training that is focused on a solution, and how to position and sell the solution, rather than on the products that make up the solution. As a result, the sales force is educated, understands the customers' business requirements, and is able to craft specific value propositions to a given customer with respect to that solution. Thus, the training is customer-centric as opposed to product-centric.

The invention discloses a CTC scheduling simulation assessment evaluation system based on scene control. The scheduling simulation assessment evaluation system is applicable to learning, practice, assessment and skill evaluation and capability analysis on professional theoretical knowledge and real operation skills of different-level operators of different types of work and different positions ofthe universal and high-speed railways; the operation flow of the system is that firstly, CTC scheduling operator training and assessment outline and assessment details are constructed; then, an application scene editing tool edits course scene and an evaluation rule according to the training requirement, loads the course scene and the evaluation rule into a CTC scheduling simulation system in theimplementation process of a teaching plan, and combines with an application scene driving control module to realize scene reproduction; and next, the scene maneuvering process data is input into an evaluation assessment system to realize autonomy assessment and analysis statistics. The scheduling simulation assessment evaluation system can carry out cognitive and different levels of skill trainingand assessment identification on CTC scheduling related operators efficiently, quickly and conveniently, and has a wide application prospect in the aspects of railway service organization and railwaycomprehensive operation.

The invention discloses a paper currency face and orientation recognition method and a device. The method comprises steps: a paper currency image of to-be-recognized paper currency is acquired; according to a set division rule, the paper currency image is divided into a first set number of regions; the gray sum of all regions in the paper currency image is calculated, and a gray sum sequence with a first set number is formed; the sequence is inputted to a recognizer in a BP neural network for recognition so as to obtain the face and the orientation of the paper currency, wherein network parameters of the recognizer of the BP neural network are obtained through training. Recognition of the face and the orientation of the paper currency of different currency value versions can be realized, only one training needs to be carried out on the face and the orientation of the paper currency of different currency value versions, the network parameters can be obtained, the face and the orientation of each currency value version can be recognized universally, and as the BP neural network recognition mode is adopted, the recognition efficiency of the face and the orientation of the paper currency is improved.

The invention relates to an aerobics flexibility training auxiliary device. The device comprises a first base plate, a second base plate is hinged to one side of the first base plate, the first base plate and the second base plate are both provided with a lateral displacement device, and pedals adjustable in height are arranged on the lateral displacement devices; a plurality of elastic bands arearranged on the side surfaces, away from a hinge end, of the first base plate and the second base plate, and the ends of the elastic bands are provided with handles; the first base plate and the second base plate are provided with a detachable connecting device, the connecting device is provided with a lifting adjustment device, the lifting adjustment device is provided with a support rod, and a handle bar is arranged on the top of the support rod; the upper portion of the support rod is provided with a touch screen and a micro camera, the touch screen and the micro camera are internally provided with wireless modules, and the wireless modules are connected with a mobile terminal; the support rod is provided with a controller and a power supply module, the touch screen is electrically connected to the controller and the power supply module separately, and the micro camera and the controller are electrically connected to the power supply module through control switches separately. The device is reasonable in structural design, occupies small area, meets training needs, has good practicability and is worthy of popularization.

The invention discloses a wireless detecting terminal for physiological parameters of athletes and an application method thereof. The wireless detecting terminal comprises sensors, a filter and amplification module, an analog to digital converter and a signal output device. The sensors are used for detecting the physiological parameters of the athletes. The filter and amplification module is used for filtering and amplifying signals acquired by the sensors. The analog to digital converter is used for performing analog to digital conversion to the filtered and amplified signals. The signal output device is used for transmitting the converted signals. The detecting terminal, namely, a detecting finger clamp is portable and / or non-portable. A temperature detecting sensor, a blood oxygen photoelectric sensor and a pressure sensor are disposed on the detecting finger clamp. The detecting finger clamp can be clamped to the fingers of the athletes to detect the physiological parameters, data is transmitted to a monitoring terminal for analysis through a wireless receiving base station, and accordingly the problems that the existing detecting methods need cooperation and movement of the athletes and detecting accuracy is affected by the movement of the athlete are solved. When the physiological parameters of an athlete in training need to be detected, the small detecting finger clamp cannot affect normal training of the athlete.

The invention relates to an education resource allocation method, device, computer device and storage medium, through obtaining the login request of the terminal, the login request carries the user identification; acquiring training requirements corresponding to the user identification; the training requirements are analyzed, and the corresponding recommended online courses and recommended offlinecourses are searched from the educational resources database; and the recommended online course and the recommended offline course are pushed to the account number corresponding to the user identification. By means of the resource allocation method, the account number of the terminal user, such as the parents, can be provided for the training needs of the children at home, Then, according to thetraining needs of parents, suitable online courses and offline courses are recommended for each parent from the educational resources database, so that parents can conveniently and quickly find the quality education content and improve the accuracy of resource allocation of the education.

The invention relates to the technical field of computers. The invention specifically relates to a method for recommending training courses based on employee historical training information pertinence. The ability values of the employees are used as a breakthrough, the ability labeling attributes of the training courses are matched with the ability values of the employees based on the ability labeling attributes of the training courses, then judgment is conducted according to the principle that the higher the similarity degree of the course selection ability labeling attributes and the personal ability values of the employees is, the lower the probability is, and targeted training course recommendation is conducted based on the deep learning model. The problems that the training requirements are determined through traditional modes such as interviews and investigation, the workload is large, and the training demands of staff and departments cannot be comprehensively and accurately obtained are solved; courses introduced by a lot of resources and employee training organized by a lot of energy are not greatly helped to improve employee performance. Employees have deviations in theirown evaluations and in their understanding of department post requirements, hoping to participate in useful training during busy work.

A system, method and tool are described for providing a business-driven learning solution. A learning plan is created where the learning plan is implemented in a course for a determined time period. The learning plan is displayed to a plurality of users. The learning plan is approved by the plurality of users. Thereafter, the learning plan is updated during the determined time period in accordance with changes to budget, prioritization and training needs. The updated learning plan is displayed to the plurality of users.

The invention discloses an ECG signal processing method based on an unbalanced training two-level neural network, which comprises the following steps: preprocessing: collecting ECG signal, adopting filter to eliminate baseline drift and power frequency interference, searching an R peak of the waveform of the ECG signal,and segmenting the beat of the ECG signal; signal recognition: ECG signals after heart beat segmentation are recognized by two-level neural network with unbalanced training, and abnormal ECG signals and normal ECG signals are obtained, wherein unbalanced training needs to be combined with two-level neural network; and compression processing: the ECG signal is subjected to adaptive compression based on intelligent diagnosis.

The embodiment of the invention discloses a method and an apparatus for extracting webpage information. The method for extracting the webpage information comprises the following steps: performing preprocessing on a target label according to a processing rule corresponding to the category of the target label to obtain a preprocessing document; truncating the preprocessing document according to a preset label symbol; and determining webpage text contents according to the truncated preprocessing document. In the prior art, a target webpage needs to be trained to obtain an extraction model of the target webpage, therefore the extraction universality of the webpage information is poor. According to the method disclosed by the embodiment of the invention, the preprocessing is performed on the target label according to the processing rule corresponding to the category of the target label, as no training needs to be performed on a certain webpage sample to establish the extraction model, no training is performed, and thus the extraction cost is reduced. In addition, as the label has universality in HTML documents, the extraction universality of the webpage information can be improved.

The invention discloses a Docker-based automated honey pot construction and threat perception method. The method comprises: step one, creating and running a data collection container; step two, carrying out formatting processing on original data according to a data processing algorithm; step three, carrying out depth model training on the formatted data; step four, carrying out data visualizationby using NodeJS as a web background; and step five, determining an unknown flow by using a threat perception technology. Therefore, functions of data collection, data processing, data visualization and the like can be completed automatically; and parameters for model training need to be adjusted manually, so that the model becomes stable and accurate.

The invention relates to a training course management system and a training course management method. The training course management system comprises a course established-case selection module which is used for selecting related established-cases according to training needs, a course task preparing module which is used for preparing a course task according to the training needs, a course file generating module which is used for generating a course file according to the related established-cases selected by the course established-case selection module and combining the course task prepared by the course task preparing module, and a course evaluation module which is used for evaluating the related established-cases selected by the course established-case selection module and the course file generated by the course file generating module. Through the establishment of the plurality of modules, a work behavior of a training-receiving student is truly changed, performance is improved, manpower resource is saved, and a training course is enabled to be summarized, systematized, and benefited in inheritance.