141 results about "Training material" patented technology

Interactive electronic training systems and methods are described herein. Certain embodiments provide preprogrammed video, audio, and/or textual presentations of training materials which provide information related to skills/information to be trained. A scenario including real or animated actors is presented, simulating an interaction. The training system presents related queries for the trainee who audibly responds. The training system stores a score based in part on a comparison of the trainee's response with an answer stored in training system memory. Optionally, the scores are substantially immediately presented by the system to the trainee.

Interactive electronic training systems and methods are described herein. Certain embodiments provide preprogrammed video, audio, and/or textual presentations of training materials which provide information related to skills/information to be trained. A scenario including real or animated actors is presented, simulating an interaction. The training system presents related queries for the trainee who audibly responds. The training system stores a score based in part on a comparison of the trainee's response with an answer stored in training system memory. Optionally, the scores are substantially immediately presented by the system to the trainee.

A method for training a student in a skill over a network and a student accesses the system and it displays a list of at least one training location. In one embodiment, the preferred training location sells training materials to the student and the student identifies that he is ready to be tested. The invention transmits, to the student, at least one of a first set of questions based on the skill. Once the answer is received, it is responded to in real time. An embodiment determines if the answer is one of a correct answer or a wrong answer and either a correct or an incorrect notification is sent to the student. Both the correct and incorrect notifications can be edited and can be customized for each training location to include an advertisement for the product in a response regarding products related to the question.

Acoustic models for speech recognition are automatically generated utilizing trained acoustic models from a native language and a foreign language. A phoneme-to-phoneme mapping is utilized to enable the description of foreign language words with native language phonemes. The phoneme-to-phoneme mapping is used for training foreign language words, described by native language phonemes on foreign language speech material. A new phonetic lexicon is created containing foreign language words and native language words transcribed by native language phonemes. Robust native language acoustic models can be derived utilizing foreign language and native language training material. The mapping may be used for training a grapheme to phoneme transducer (i.e., foreign language to native language) to generate native language pronunciations for new foreign language words.

System and method for musical instrument education are provided. The system includes a lesson terminal which has a processor unit configured to evaluate performance musical data inputted from an electronic musical instrument, to enable a user feedback, and to enable determining new music training materials for a next lesson. The lesson terminal also has a data-receiving unit for receiving music training materials from an external music data source. The data-receiving unit may be a network connection port, such as an Internet connection port, for connecting to a server, or a local receiving port for connecting to a removable data storage. An electronic musical instrument and a method for evaluating performance musical data are also provided.

Interactive electronic training systems and methods are described herein. Certain embodiments provide preprogrammed video, audio, and/or textual presentations of training materials which provide information related to skills/information to be trained. A scenario including real or animated actors is presented, simulating an interaction. The training system presents related queries for the trainee who audibly responds. The training system stores a score based in part on a comparison of the trainee's response with an answer stored in training system memory. Optionally, the scores are substantially immediately presented by the system to the trainee.

Interactive electronic training systems and methods are described herein. Certain embodiments provide preprogrammed video, audio, and/or textual presentations of training materials which provide information related to skills/information to be trained. A scenario including real or animated actors is presented, simulating an interaction. The training system presents related queries for the trainee who audibly responds. The training system stores a score based in part on a comparison of the trainee's response with an answer stored in training system memory. Optionally, the scores are substantially immediately presented by the system to the trainee.

The systems and methods provide a dynamic process for obtaining and managing informed consent documentation. In general, the dynamic informed consent process (DICP) makes use of an intermediary organization, e.g., a trusted intermediary, which: (a) provides ICFs which have been dynamically generated for a specified trial or medical procedure and based on particular state or federal requirements, if any; and (b) archives copies of signed ICFs. In certain preferred embodiments, there may also be a procedure to provide training materials, such as audio or video presentations, to be viewed by prospective participants. In certain preferred embodiments, the process also includes contacting subjects who have signed ICFs in the event that there is a change of circumstance which the subject may deem material to whether s/he would continue to consent, or whether the participant needs to provide a different type of consent to participate in particular event or trial.

A system and method for selecting training materials is provided. In an aspect of the invention, a system is provided that includes a skill requirements database and a training products database. A user can input data representing a student's skill level and the system will select one or more suitable products from the training products database that can be used by the student to achieve a desired skill level.

The financial decision system provides for real-time calculation of buying pressure and selling pressure for any tradable instrument market. Additionally, it provides real-time visual simultaneous plots and charts of buying pressure and selling pressure. Further, the system automatically presents buy and sell indicators and expert commentary based on automatically detected market trend changes. The system automatically analyzes market trends and changes in multiple timeframes simultaneously to identify, in real time, multiple confirmations of suggested trading actions, such as buying or selling. The system also encompasses training materials and methods necessary for teaching concepts and methods of usage to improve the likelihood of success for new users.

A method for labeling images that have a visual appearance digitizes the images in order to create image data. The method calculates plurality of features from a subset of said image data and organizes the images unsupervised in an organization process. The organizing is based on the features and the similarity criterion. After the set of images is retrieved utilizing the organization of the stored images, a label is assigned to the retrieved image or to its part. As well the labels are verified and training material is created for a supervised classifier.

The present application discloses a method and a system for reviewing chat content based on sensitive words. The method for reviewing chat content comprises: dividing a sensitive word vocabulary intoat least two sensitive word sets including jargon sets; matching each of the sensitive word sets with a text library to generate a text set corresponding to each of the sensitive word sets; taking texts in the text sets as training materials, and performing machine learning processing on the training materials to generate a classification review model corresponding to each of the sensitive word sets; and sending to-be-viewed texts into one or more classification review models for review, and obtaining review results. According to the technical scheme of the present application, problems that,by simply comparing keywords, the existing text review system can easily lead to misjudgment and cannot respond to new words and jargon in a timely and effective manner.

The invention provides a student achievement diagnosis and improving system, and belongs to the field of education. The student achievement diagnosis and improving system comprises an information collecting module, a structured question bank, an online testing module, a special training module, a test paper collecting module, a precise analysis module, a task distribution module, a learning condition tracking module, an electronic lesson preparation module and a social interaction module; the structured question bank stores problems identified with knowledge points as labels; the online testing module utilizes the structured question bank to test the knowledge level, the problem solving ability, the cognitive ability and the emotional ability of students, and a personalized diagnosis report is formed through the precise analysis module; the special training module conducts training in the four aspects according to the content of the report; the precise analysis module analyzes information according to the test paper collecting module and the online testing module and obtains diagnosis information; and the learning condition tracking module is used for feeding the learning conditionback to teachers and parents. Psychological cognitive factors and the emotional ability are introduced into the student achievement diagnosis and improving system, the ability improving path is effectively planned, training materials are effectively recommended, and the comprehensive ability of the students is improved.

An integrated precision machine design system includes an intelligent processing module, a parts database module coupled to the processing module, a training materials database module coupled to the processing module, and program code configured for receiving a user-specified precision machine design specification where the program code is operably coupled to the processing module to compute design system properties using data from the parts database module based on the user-specified precision machine design specification.

The invention discloses a monitoring video behavior detection method based on a multipath neural network. The method comprises the steps that a plurality of monitoring videos are collected to serve astraining materials; according to regional distances in the monitoring videos, the training materials are uniformly cut to obtain at least two groups of regional videos, wherein the number of the regional videos in each group is equal; segment checking is performed on the regional videos to obtain the training materials; key frames and optical flow graphs are extracted from the videos; the deep multipath neural network is adopted to process the training materials to obtain a training model; and the training model is utilized to perform behavior recognition on a to-be-detected video file. Through the monitoring video behavior detection method, the accuracy and efficiency of behavior detection can be effectively improved; and the video file is divided into multiple regions for training and recognition of a behavior model, different networks are adopted according to different distances, and the problem that the behavior detection efficiency is influenced because coverage is broad and shooting content is small far away and large nearby in the video file is effectively solved.

The invention relates to a cavity mirror analog simulation training system and a method thereof. Teaching materials are arranged in the expected position of a simulation case, and the endoscope and the surgical instrument corresponding to the teaching material are inserted into the simulation case; the endoscope is adjusted to the right position of the simulation case, a processing module intercepts the information of a real-time simulation training image output from the endoscope at an pre-real time, and the comparison and analyses is conducted according to the above information and the image output from a unit of storage. After determining the current training courses and marking criterion, the training timing is began; an training operator operates the surgical instrument and simulates the training materials; the processing unit sends to a display module the information of the real-time simulation image output from the endoscope; the display module shows the information of the real-time simulation image and training programs as well as scores. The invention puts forward the endoscope simulation training system and the method thereof, which can take the endoscope analog simulation training under the environment of high simulation, and contributes to the improvement of the professional skill of the training operator.

The invention relates to an automatic system for training horses, comprising: a horse training device (1) covered by flexible material at the rear and sides, closed at the front by a locking device (15) and driven by tractors arranged at its front and rear parts The device, guided by rails (16) or ropes (31) located on the upper side of said device (1); electrodes or veterinary measuring devices placed on different areas of the horse's body in order to be monitored by remote electronic signal transmission or by remote sensing The physical performance of the horse is monitored and the movement of the entire mechanical element including the stable (3) and the aisle (2) in the training system can be obtained automatically.

A system and method for testing an agent by a validation bot may include sending training material to an agent; automatically initiating, by the validation bot, a session with an agent by providing a phrase to the agent via a client media interface; obtaining a reply from the agent; mapping the reply of the agent to an agent intent; providing a response to the agent based on the agent intent and according to a predetermined session flow, wherein the predetermined session flow is based on the training material; repeating obtaining responses, mapping the responses and providing responses until a termination criterion is met; calculating a score of the agent according to scoring rules; and providing the score of the agent to a user.