Automated Training System Research Articles

Creating the Slider Tester Repair Recommendation System to Enhance the Repair Step by Using Machine Learning

This project aims to develop a recommendation system to mitigate looping issues in HDD slider testing using the Amber testing machine (Machine A). Components simulating the HDD often fail and require repair before re-testing. However, post-repair, there is a 34% probability that the component (referred to as Product A) will experience looping, characterized by repeated failures with error code A. This recurring issue significantly hampers testing efficiency by reducing the number of successful slider tests. To address this challenge, we propose a dual-approach recommendation system that provides technicians with actionable insights to minimize the occurrence of looping. For previously analyzed components, a collaborative filtering technique utilizing implicit ratings is employed to generate recommendations. For new components, for which prior data are unavailable, a cosine similarity approach is applied to suggest optimal actions. An automatic training system is implemented to retrain the model as new data become available, ensuring that the recommendation system remains robust and effective over time. The proposed system is expected to offer precise guidance to technicians, thereby improving the overall efficiency of the testing process by reducing the frequency of looping issues. This work represents a significant advancement in enhancing operational reliability and productivity in HDD slider testing.

АВТОМАТИЧЕСКАЯ ОБУЧАЮЩАЯ СИСТЕМА КОМПЬЮТЕРНОГО ТРЕНАЖЕРА

One of the effective tools of a computer simulator is considered – an automatic training system (AOS) designed to train operators of technological installations on a simulator in an autonomous mode without the participation of an instructor

ОСОБЕНННОСТИ РАЗРАБОТКИ СЦЕНАРИЕВ ДЛЯ АВТОМАТИЧЕСКОЙ ОБУЧАЮЩЕЙ СИСТЕМЫ КОМПЬЮТЕРНОГО ТРЕНАЖЕРА

The features that must be taken into account when developing scenarios for an automatic training system of a computer simulator are considered

Development of an intelligent controller for sports training system based on FPGA

Abstract Training, sports equipment, and facilities are the main aspects of sports advancement. Countries are investing heavily in the training of athletes, especially in table tennis. Athletes require basic equipment for exercises, but most athletes cannot afford the high cost; hence, the necessity for developing a low-cost automated system has increased. To enhance the quality of the athletes’ training, the proposed research focuses on using the enormous developments in artificial intelligence by developing an automated training system that can maintain the training duration and intensity whenever necessary. In this research, an intelligent controller has been designed to simulate training patterns of table tennis. The intelligent controller will control the system that sends the table tennis balls’ intensity, speed, and duration. The system will detect the hand sign that has been previously assigned to different speeds using an image detection method and will work accordingly by accelerating the speed using pulse width modulation techniques. Simply showing the athletes’ hand sign to the system will trigger the artificial intelligent camera to identify it, sending the tennis ball at the assigned speed. The artificial intelligence of the proposed device showed promising results in detecting hand signs with minimum errors in training sessions and intensity. The image detection accuracy collected from the intelligent controller during training was 90.05%. Furthermore, the proposed system has a minimal material cost and can be easily installed and used.

Application of design methods for precision energy supply systems in the educational process using information technology

Teaching electrical engineering disciplines in technical universities involves the use of information technology in modeling processes in electrical circuits and in organizing the educational process. The main problem of the existing automated training systems for technical universities is their low didactic efficiency. This paper presents the application of a training system that takes into account the psycho-factors of the participants in the educational process and the personal characteristics of students. The initial data for the operation of the automated system is information about the fundamental pedagogical concepts and information reflecting the personal characteristics of the participants in the educational process. The color design of the means of visual display of information blocks on monitors is tuned in accordance with the user’s psychotype. The proposed automated training system contains a set of training electronic devices with interchangeable functional units, which, based on the results of testing academic training and testing personal characteristics, are offered to students for design and stage-by-stage modeling. The paper shows the design of a precision DC voltage stabilization system. This study proposes technical solutions that implement the principles of the combined use of negative and positive feedback circuits. In the proposed technical implementation of the device, a method is proposed for fully compensating for the instability of the stabilizer output voltage when the load current changes from zero to the nominal value.

AUTOMATIC TRAINING EXPERT SYSTEM

Group training in general secondary education, secondary and higher specialized educational institutions involves the transfer of knowledge and the development of skills, with an orientation to the "average" according to the abilities of the student. At the same time, achieving such a level of training as "skills" is, in principle, impossible. The level of skills requires, as a rule, individual training with the use of various kinds of teaching and training systems together with the method of iterative learning. The coronavirus pandemic (COVID-19) and the transition to distance learning have intensified the development of information and communication technologies (ICT) for teaching without the presence of a teacher. All this determines the relevance of the development of an automatic training system based on an expert system that ensures, in the absence of a teacher, the achievement of the maximum for each student, depending on his intelligence, the required level of training. In this paper, the structure of an automatic learning system is proposed, which ensures the assimilation of educational material to a given level of learning without the participation of a teacher. Using the example of using such a system for training operators of an arc steelmaking furnace, the work of the system elements is shown: the object simulator model, the trainee error analysis blocks, the synthesis of training information, as well as database and knowledge functions. The issues of obtaining andformalizing the knowledge of expert teachers are considered separately. Examples of the formation of knowledge frames for the training of chipboard steelworkers are given. For example, to teach the process of mixing an electric steelmaking process, 81 frames of information are needed, providing educational comments for all kinds of mistakes of the trainees. Conclusions were drawn based on the results of the work.

Automated training system with advanced knowledge control

A modern energy enterprise is a complex multicomponent production, including equipment, installations, control and management systems, combined main and auxiliary technological processes for generating thermal and electrical energy. In their practical activities, the company's personnel must comply with safety regulations, rules for the production of work on equipment, fire safety regulations, which are specified by relevant legal and normative documents, which also establish standards for personnel training and knowledge control of these rules. This article discusses a set of measures to ensure fire safety at the enterprise, the possibility of using automated training systems in the organization of fire training. The automated fire-technical minimum training system provides use cases for a specialist-methodologist on fire-technical minimum, a specialist-teacher on fire-technical minimum, for the trainee, which allows the trainee to provide up-to-date legal, regulatory and educational information, to control the knowledge of the trainee, from both the specialist-teacher and the trainee himself. The introduction of an automated training system for the fire and technical minimum allows you to optimize the process of training for the fire-technical minimum of the company's personnel.

Automated CATS system for distance learning

This paper discusses a new automated training system called CATS. The proposed system covers all the main components of the educational process, including the simple and convenient formation of educational material, tasks for laboratory works, tests to check knowledge, allows you to monitor the progress of students, the process of studying educational content, check completed work for plagiarism, send incorrectly completed tasks to correction, keep an electronic journal and much more. The automated CATS system has been introduced into the educational process at the Belarusian National Technical University and is actively used, especially in the context of the COVID-19 pandemic. In the spring of 2020 alone, more than a thousand users have registered in the CATS system. The intellectual component in the CATS system allows you to implement a unique training program, which is based on the existing knowledge and the level of perception of the educational material by the students. As mathematical methods, it is proposed to use the analysis of expert systems, as well as artificial neural networks. These mathematical methods made it possible to develop adaptability algorithms, their software implementation and testing in the educational process. Users are provided with a web application and its mobile clients for iOS and Android operating systems. Mobile applications are localized in Russian, Belarusian, English and German. By formalizing the intellectual processes that are carried out by both the teacher and the student, it is possible to automate a certain part of their functions, reduce the cost of manual labor, which will make it easier to control the educational process, and make the training itself more effective.

Efficient training of mice on the 5-choice serial reaction time task in an automated rodent training system

Experiments aiming to understand sensory-motor systems, cognition and behavior necessitate training animals to perform complex tasks. Traditional training protocols require lab personnel to move the animals between home cages and training chambers, to start and end training sessions, and in some cases, to hand-control each training trial. Human labor not only limits the amount of training per day, but also introduces several sources of variability and may increase animal stress. Here we present an automated training system for the 5-choice serial reaction time task (5CSRTT), a classic rodent task often used to test sensory detection, sustained attention and impulsivity. We found that full automation without human intervention allowed rapid, cost-efficient training, and decreased stress as measured by corticosterone levels. Training breaks introduced only a transient drop in performance, and mice readily generalized across training systems when transferred from automated to manual protocols. We further validated our automated training system with wireless optogenetics and pharmacology experiments, expanding the breadth of experimental needs our system may fulfill. Our automated 5CSRTT system can serve as a prototype for fully automated behavioral training, with methods and principles transferrable to a range of rodent tasks.

Application of the clustering algorithm in an automated training system

The development of information technologies provides a new, unique opportunity to conduct classes with the introduction of automated training systems for disciplines, which allows the student to choose the time and place for training, makes it possible to use new information technologies in training, and to a certain extent reduces training costs. The problem of improving the quality of the educational process in an educational institution is being solved because of the use of automated systems. This task is the main one in the activities of each educational institution. The development of a high-quality system will provide an increase in the student’s knowledge in the chosen field, and help to form an up-to-date curriculum for training. The purpose of this work is to create an automated training system using the clustering and content ranking algorithm, which can improve the quality of the student’s educational process.

The concept of an automated educational system for the training of refueling complexes personnel

At present the aviation fuel supply industry is characterized by complex technological processes, in which possible incidents and accidents can lead to economic and environmental losses. These processes require highly qualified and specially trained engineering and technical personnel. The rapid development of digital technologies and their implementation in the technological processes for ensuring flights of aircraft aviation fuel, such as continuous monitoring of fuel cleanliness, the quantity and consumption records of aircraft aviation fuel using automated systems, as well as the use of new equipment, such as mass meters, which are highly accurate. All this requires a new approach to the training of the refueling complexes personnel. In addition, the development of refueling complexes is on the way to optimize the operations. So, for example, the responsibilities of the aircraft refueling operator are also assigned to the driver of the refueling tanker. Currently, the technical facilities of the warehouse and refueling complex equipment used for aircraft refueling are included as part of the airport infrastructure in order to ensure the flights regularity. Application of the new equipment using digital technologies is associated with improving the quality of refueling operations at all stages of aviation fuel supply. To ensure effective management of aviation fuel supply processes at all stages, the organizational structure should be based not only on modern equipment of all parts of the technological chain of fuel preparation, but also on a closed automated control system based on the introduction of modern, intelligent control and measuring devices. In these conditions, the issue of training personnel of fueling complexes becomes relevant. The solution to this issue is in the development of automated training systems, that allow to accelerate staff training and reduce the cost of training. Therefore, the article discusses the structural and functional model of an automated training system (ATS) that combines disparate solutions and forms a new system for solving problems of training, certification and information support for personnel of aviation fuel supply organizations (AFSO). The proposed training system allows training not only for one workplace, but taking into account individual characteristics, for example, to prepare both the driver of the vehicle and the refueling operator in one person. The article describes the scenarios of the use of ATS subsystems developed in the work, which determine the basic functional composition. In conclusion, based on the developed scenarios for the use of subsystems, the developed structural and functional model of the ATS is presented, which provides solutions to the problems of maintaining the operation of the AFSO and supporting decision-making.

Разработка веб-интерфейса автоматизированной обучающей системы для подготовки администратора безопасности компьютерных сетей

Разработка веб-интерфейса автоматизированной обучающей системы для подготовки администратора безопасности компьютерных сетей

High-Throughput Automatic Training System for Spatial Working Memory in Free-Moving Mice.

Efficient behavioral assays are crucial for understanding the neural mechanisms of cognitive functions. Here, we designed a high-throughput automatic training system for spatial cognition (HASS) for free-moving mice. Mice were trained to return to the home arm and remain there during a delay period. Software was designed to enable automatic training in all its phases, including habituation, shaping, and learning. Using this system, we trained mice to successfully perform a spatially delayed nonmatch to sample task, which tested spatial cognition, working memory, and decision making. Performance depended on the delay duration, which is a hallmark of working memory tasks. The HASS enabled a human operator to train more than six mice simultaneously with minimal intervention, therefore greatly enhancing experimental efficiency and minimizing stress to the mice. Combined with the optogenetic method and neurophysiological techniques, the HASS will be useful in deciphering the neural circuitry underlying spatial cognition.

Тестовый контроль знаний студентов в процессе освоения междисциплинарного курса «Эргодизайн» средствами LMS Moodle

The possibilities of an interdisciplinary automated training system in the modular object-oriented environment of distance learning MOODLE are highlighted. The structure of the training course «Ergodesign» is presented and the possibilities of electronic learning management systems for the implementation of test control of students' knowledge are considered. Prospects for the development of modern distance learning technologies are outlined.

Hypermedia training system «architecture of civil and public buildings»

Purpose of the article. It has been established that a user of computer-aided design (CAD) can effectively solve his tasks only with the active help of a computer. An additional means of enhancing the user's cognitive activity are automatic training system (ATS). They are a complex of software-hardware and educational tools that provide active individual assistance to the user. All people over the world are engaged in the development of such systems nowadays. Therefore, the task of creating CAD training is relevant. The hypermedia systems (GM - system) recently appear. It is a system that uses the most advanced technologies and is designed to increase the efficiency and intensify the processes of interaction between a person and the entire knowledge-related environment. The purpose of the work is to explain the basic concepts of hypertext and the functioning of the GM on the example of the training system «Architecture of civil and public buildings». Methodology of the research. The concepts of elements of the hypertext architecture are given: node, connection, system model, and hypertext database. A brief description of the hypermedia educational system «Architecture of civil and public buildings» is given, which contains information models of building layouts and is used in course design. The information model of a two-storey cottage has 12 modules designed for the planning of the building and its individual parts. Results. A hypertext database has been formed, including texts, graphics, calculations, reference data, available technical solutions, video information. Scientific novelty. A hypermedia training system «Architecture of civil and public buildings» was created, which contains information models of building layout. A new philosophy of presentation of the material has been proposed, which makes students learn the world differently and actively participate in the learning process. Practical significance. The training system is used in course design. Training is conducted by a lecturer. Thanks to the visualization, students have the opportunity to present more realistically not only individual, rather complex structural elements and components, but also the technology of construction of the building itself. For clarity, the training process uses educational films that allow students to be on the construction site without leaving the classroom.

An Automated Water Task to Test Visual Discrimination Performance, Adaptive Strategies and Stereotyped Choices in Freely Moving Mice.

We describe an automated training/testing system for adult mice that allows reliable quantification of visual discrimination capacities, adaptive swimming strategies, and stereotyped choices with minimal human intervention. The experimental apparatus consists of a hexagonal swimming pool with an internal decision zone leading to three interior arms with two software-controlled platforms inside of each arm. Each experimental trial consists in projecting a “positive” conditioned discriminative stimulus (SD) in one randomly chosen arm, whereas the other two arms project non-reinforced stimuli (the delta stimuli, SΔ). By employing a classical behavioral training schedule, the mice learn to swim toward the arm that displays the SD, because it predicts the presence of two elevated platforms located symmetrically to the left and right side of the projecting monitor. Separate behavioral components for discriminative and stereotyped choice behavior can be identified through this geometric arrangement. In addition, the projection in real-time of either static or dynamic visual stimuli allows the usage of training programs contingent on current behavioral performance. We validated the system by characterizing the visual acuity and contrast sensitivities in a group of trained mice. By employing pharmacological manipulations, we found that the mice required an intact functioning of the primary visual cortex (V1) to solve the hexagonal pool. Overall, the automated training system constitutes a reliable, rapid, and inexpensive method to quantify visual capacities of mice. It can be used to characterize visual and non-visual factors of choice behavior. It can also be combined with manipulations of visual experience and pharmacological micro-infusions to investigate integrated brain function and learning processes in adult mice over consecutive days.

High-Throughput Automatic Training System for Odor-Based Learned Behaviors in Head-Fixed Mice.

Understanding neuronal mechanisms of learned behaviors requires efficient behavioral assays. We designed a high-throughput automatic training system (HATS) for olfactory behaviors in head-fixed mice. The hardware and software were constructed to enable automatic training with minimal human intervention. The integrated system was composed of customized 3D-printing supporting components, an odor-delivery unit with fast response, Arduino based hardware-controlling and data-acquisition unit. Furthermore, the customized software was designed to enable automatic training in all training phases, including lick-teaching, shaping and learning. Using HATS, we trained mice to perform delayed non-match to sample (DNMS), delayed paired association (DPA), Go/No-go (GNG), and GNG reversal tasks. These tasks probed cognitive functions including sensory discrimination, working memory, decision making and cognitive flexibility. Mice reached stable levels of performance within several days in the tasks. HATS enabled an experimenter to train eight mice simultaneously, therefore greatly enhanced the experimental efficiency. Combined with causal perturbation and activity recording techniques, HATS can greatly facilitate our understanding of the neural-circuitry mechanisms underlying learned behaviors.

Influence of maximum heart rate predicts method on appropriate exercise intensity via Algerian soccer training programs

Our aim in this current study aspect the influence of predicts method in estimating exercise intensity associated with maximum heart rate assessment. In lack of beeps system tools, training analysis software as new high-tech to track intensity. While our coaches’ base their loads exercise on the formula: 220 minus ages, in within their players estimate their maximum heart rate, adapts to their intensity exercise in performing this latter during the weekly exercises. In order to test these practices and judge their efficacy or inadequacy. Sixty-two male elite Algerian players, first League division one at Oran Algerian Championship teams, year (2015-2016). Participate in the present study, their homogeneous were calculated on the basis of 6 min intentional athletic exercise, as protocol used to calculate the VO2max estimate from Cooper test 6 min and RHR uses the polar watch system to compute Heart Rate. Although Max Heart zones exercise was built on formula Uth N as a procedure to calculate the intensity. Backed by differences gained, according to protocol proposed in which the energy dominant is relative to maximum heart rate corresponding to exercise intensity. We reject the measures taken by our coaches, which are not operative to esteem the maximum heart rate connected to the request VO2max and HRrest associated with exercise intensity planned. While as a recommendation, we required our coaches to use the beeps automated training system tools as polar watch beep system to establish the exercise intensity consistent with exercise maximum heart rate and energy requirements. Using our formula Max Heart zones exercise = (VO2max/15) * Heart Rate, derived from formula Uth N.

Educational-researching and Information Resources In Interdisciplinary Automated Training System Based On Internet Technology

The aim of the research is the study of the functionality of modular object-oriented dynamic learning environment (Moodle) to development the informational and educational and educational research resource for training students in the disciplines of natural-scientific and engineer science. Have considered scientific-practical and methodological experience in the development, implementation and use of the interdisciplinary automated training system based on the Moodle system in the educational process. Presented the structure of the typical training course and set out recommendations for the development of information and educational resources different types of lessons and self-study students. Have considered the features of preparation of teaching-research resources of the assignments for lab using the software package MatLab. Also has considered the experience of implementing the discipline “Remote educational technologies and electronic learning in the scientific and the educational activities” for the training of graduate students at the Mendeleev University of Chemical Technology of Russia. The proposed an article approaches to the implementation of informational and educational and educational research resources in the interdisciplinary automated training system can be applied for a wide range of similar disciplines of natural-scientific and engineering sciences in a multilevel system of training of graduates.

Automatic Training of Rat Cyborgs for Navigation.

A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat's behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.