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Готові списки джерел за темами / RFL computer-based training system / Статті в журналах

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Статті в журналах з теми "RFL computer-based training system"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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1

Farysenkova, Lyubov V., and Elnura I. Zhellali. "Forming a methodical thesaurus of a foreign author of a manual on Russian as a foreign language." Russian Language Studies 18, no. 4 (December 15, 2020): 422–38. http://dx.doi.org/10.22363/2618-8163-2020-18-4-422-438.

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Анотація:

The article aims at investigating the specifics of the modern practice of training foreign authors of Russian as a foreign language (RFL) textbooks and identifying the prospects for the formation of a professional thesaurus of this group on the basis of modern educational technologies. This issue is really relevant, since, as it is shown in the article, there are currently almost no methodological studies and manuals addressed to this group of trainees. At the same time, practice shows that foreign colleagues are in urgent need of diverse methodological support from Russian methodologists. The paper shows that in 1970-1980-s, when such support was purposefully implemented, modern textbooks on RFL were created in foreign countries, which contributed to the Russian language spreading in Europe, Asia and Africa. The research materials were textbooks on the Russian language for foreigners, which marked a certain stage in teaching methods of RFL development. The authors of the article rely on general scientific theoretical research methods: comparative analysis of available sources of information, comparative analysis of the conceptual system of the topic under research, synthesis of their own points of view (or positions), based on the analysis of various ways of solving the problem. The article resulted in the proposed topic of training and consulting materials for potential foreign authors of RFL textbooks, which are supposed to be based on the developed electronic platform, as well as the introduction of materials of the round table Designing a communicative textbook of RFL into the system of professional training and advanced training. The authors concluded that potential foreign authors of RFL textbooks are currently in urgent need of systematic scientific and methodological support. In this regard, it is recommended to intensify work with this contingent, using the potential of domestic methodological research, both classic and modern.

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2

Chistova, E. V., T. K. Verenich, and E. V. Eremina. "MOODLE-BASED ONLINE COURSE ON TRAINING RUSSIAN AS A FOREIGN LANGUAGE: PECULIARITY OF INSTRUCTIONAL DESIGN." Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta. Seriya Pedagogika i psihologiya, no. 2 (2021): 29–35. http://dx.doi.org/10.18323/2221-5662-2021-2-29-35.

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Анотація:

Due to the proliferation of advanced information technologies and overall digitalization in the post-Covid period, the education system is currently subjected to drastic changes, which in their turn predetermine a new area of theoretical and practical research investigating the issues of distance learning similarly referred to as online learning, e-learning, Web-based training. The present paper reveals the role of digital pedagogy in the modern educational process, evaluates the effectiveness of the most popular learning platform in Russia – the learning management system – Moodle. The brief analysis of the existing online RFL (Russian as a Foreign Language) courses shows a great discrepancy between the insufficient offer and increasing demand for such products in the Chinese educational market. The author describes the experience of the Siberian Federal University in the implementation of the online course “Business Russian” in the educational space of the PRC, featuring the core elements of the course design such as objectives stated, resources used, forms of assessment suggested, as well as the demands and the requirements to the flexible all-in-one approach to Moodle course delivery. The work also provides the interpretation of the poll results, which provide valuable insights into the impressions and the opinions of the students from different countries who have already taken the course.

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3

Yun, Lyudmila Gienovna. "System of exercises for teaching general knowledge of Russian language and specialty language to Chinese engineering students." Samara Journal of Science 8, no. 1 (February 28, 2019): 322–30. http://dx.doi.org/10.17816/snv201981319.

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Анотація:

The paper deals with the problem of optimizing the language training process for Chinese engineering students in the framework of joint Sino-Russian programs. The existing curricula on the Russian language as a foreign language (RFL) used to train future engineers have several disadvantages, and therefore do not provide a high level of subject and language competences. This is primarily due to weak contacts between teachers of special disciplines and teachers of the Russian language, the lack of coordination of teaching methods used by Russian and Chinese teachers of Russian. Features of training in a non-linguistic and linguistic environment predetermine the expediency of interconnected teaching of all types of speech activity in Russian. In this case, the system of exercises should be based on taking into account the ethno-psychological characteristics of Chinese students and the learning strategies they use when learning a foreign language. Particular attention should be paid to teaching the language of the specialty on the material of authentic video lectures of subject teachers in Russian. The author concludes that it is necessary to develop nationally oriented teaching aids for Chinese students-non-philologists who study in joint training programs for engineers in 2 + 2 and 3 + 1 schemes.

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4

Jingyuan Fan, Jingyuan Fan, Guiqin Yang Jingyuan Fan, and Jiyang Gai Guiqin Yang. "DDoS Attack Detection System Based on RF-SVM-IL Model Under SDN." 電腦學刊 32, no. 5 (October 2021): 031–43. http://dx.doi.org/10.53106/199115992021103205003.

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Анотація:

The data forwarding plane in the Software Defined Network (SDN) is decoupled from the network control plane, which can realize the unified control of the whole network by the controller. Although centralize control provide great convenient in many cases, it is vulnerable to malicious attacks, especially for one of the most threatening attack - Distributed Denial of Service (DDoS). We innovatively propose a machine learning hybrid DDoS attack detection model which provide high precision within short-term. We named our model as RF-SVM-IL, which represents an integration of integrates Random Forest (RF), Support Vector Machine (SVM) and Incremental Learning (IL). The combination of RF and SVM can detect detect attacks in two layers and filter out the easily misclassified samples. Then IL is added to filter new samples to avoid repeated iteration training, and improve the adaptability of the model to dynamic data. Compared with other methods, RF-SVM-IL can detect DDoS attacks in SDN with higher accuracy and shorter time. The experimental results show that the average detection accuracy of RF-SVM-IL model is as high as 98.54%, and the detection time is as low as 2.386s.

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5

Kuznetsov, Andrey Andreevich. "New type of learning environment based on a cross-platform learning model: methodology and testing." Moscow University Pedagogical Education Bulletin, no. 1 (March 30, 2021): 57–75. http://dx.doi.org/10.51314/2073-2635-2021-1-57-75.

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Анотація:

The author presents a multi-component practical study of a new type of electronic educational environment on the example of the author’s cross-platform project Langteach-online, aimed at teaching foreign students Russian. A new type of elearning environment will allow you to create online courses without the use of Western learning management systems, such as LMS Moodle, Schoology, and others with the integration of mobile devices that are trained in the learning process in mixed and distance formats. The methodology of this study will allow creating multidisciplinary online courses for teachers without special training in information technology and programming, which is especially relevant in the context of the Covid-19 pandemic. Russian cross-platform project Langteach-online is used in teaching foreign citizens Russian at the bachelor’s and master’s levels in a number of higher educational institutions of the Russian Federation in order to form a creative professional personality of a foreign graduate. The multi-format of organized tasks and materials (text, video, audio, graphics, presentations) allows us to talk about the possibility of using cross-platform projects of this type not only for teaching practical courses in foreign languages and RFL, but also other disciplines that are taught in schools and higher educational institutions. Training based on this model can be carried out both in blended and distant formats. The system of technical and methodological organization of a cross-platform project has the fexibility to use it inside the personal web resource of a teacher or educational institution.

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6

Zahraei, Seyed Hassan, and Maria Yu Sidorova. "Authorization as the Problem of the Choice of Case: System of Russian Syntax and the Problems of Teaching RFL." Proceedings of Southern Federal University. Philology 2020, no. 1 (March 15, 2020): 198–206. http://dx.doi.org/10.18522/1995-0640-2020-1-198-206.

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Анотація:

One of the critical and difficult moments in the development of the Russian language by foreigners is the transfer of subjective meanings. The existing terminological and methodological difficulties in studying this issue do not remove the need to teach in the course of Russian language for foreigners means of expressing subjective meanings. The problem is aggravated by the discrepancies between the description of these means in the grammars of the Russian language, including the academic one and the actual functioning. This is most clearly manifested in the functioning of variable prepositional-case forms (for example, вслед чему-либо, кому-либо – вслед зачем-либо, кем-либо, where only the second form can be used in the function of the authorizer: вслед за академиком Виноградовым). The particular difficulty for foreigners is also deanonymization prepositionalcase forms, the paradigm of values which includes the authorization, such as у кого-либо, для кого-либо, and the like. As a result, the elaboration of a system of rules of use and a system of exercises for training the use of means of expression of subjective meanings requires not only methodological but also theoretical justification. We offer such a justification in the form of systematization of these means based on the concept of «authorization» as used in the functional-communicative grammar of G. A. Zolotova, and a typology of syntaxes made in the same concept (free, structurally-driven, connected). The developed system of rules and exercises is implemented in a textbook for Iranian advanced students and tested in teaching in higher educational institutions of Iran. It includes the development of syntagmatic and paradigmatic of substantive and verbal authorization means, differentiation of syntactic synonymy and limitation of syntactic homonymy, considering stylistic parameters. The rules provide the maximum approximation to the living modern use of substantive and verbal authorization means in compliance with the methodological principles of compactness and consistency of the formulation. The exercises require the development of authorization tools in context, so that students confidently include them in any sentence structure. The interrelated development of form, meaning and function corresponds to the trilateral essence of the language sign, which makes the proposed model of training not only methodically effective, but also theoretically solid and modern.

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7

Ignatovitch, Tatiana V. "Teaching Russian as a Foreign Language with the Use of LearningApps Service." Russian Language Studies 19, no. 1 (December 15, 2021): 51–65. http://dx.doi.org/10.22363/2618-8163-2021-19-1-51-65.

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Анотація:

The article describes the experience of using applications of the LearningApps service in the practice of teaching Russian as a foreign language (hereinafter - RFL) to students of the Institute of International Education, Henan University of Science and Technology in the 2018-2020 academic years. The relevance of the topic is due to the lack of a comprehensive description of the potential of the LearningApps service simulators in traditional and distance teaching of foreigners. The purpose of the article is to show the possibilities of LearningApps service simulators as an accompanying electronic resource in teaching various aspects of RFL. The study of the service teaching potential was carried out using the analysis of scientific literature and the study of the service functionality, observation and generalization of pedagogical experience, conversations with students and teachers. In the course of the study, the positive and negative aspects of the resource under consideration were identified. Its advantages for a student are interactivity, individual trajectory of the student's performance, the possibility of receiving prompt advice and multiple execution, game form, availability of a large variety of task templates (more than 20). The advantages of the resource for a teacher are simplicity in learning, lack of linkage of exercises with a certain training platform, which allows including them in printed and electronic teaching aids, availability of ready-made exercises in the public database or possibility to make your own exercises based on them, the ability to use it for different methodological purposes: demonstration, search for information, formation of skills and abilities in different types of speech activity, the possibility of intensive learning of vocabulary, grammar, speaking, listening, control, conducting students individual work, depending on the level of language proficiency. The disadvantages include the impossibility of quick assessment using a point-rating system, the absence of the Cyrillic font in some templates, the absence of some templates in the database. The prospects for using the resource are associated with the need to develop distance learning of RFL.

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8

Avdeyeva, Irina Borisovna, and Nadezhda Vladimirovna Krasnokutskaya. "Cognitive styles in methodology of Russian as a foreign language." SHS Web of Conferences 127 (2021): 02014. http://dx.doi.org/10.1051/shsconf/202112702014.

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Анотація:

This article attempts to consider the types of cognitive activity of students in the process of learning foreign languages, including Russian as a foreign language. It contains a synthesis on this topic and practical results of the material implementation developed with the consideration of linguo-cognitive styles of students. Special attention is paid to the analytical cognitive style that is inherent in the students of technical fields. Considering the features of the linguo-cognitive picture of students with a predominantly analytical cognitive style, the authors conclude that these features are innate to the students from European countries who speak European languages and studied within the European educational system. Attention is paid to the consideration of cognitive styles in the existing training materials on RFL. The textbook, created by a group of authors (editor-in-chief Avdeyeva), which is addressed to students of the engineering field, was given as an example. Moreover, the article analyses the special course by Krasnokutskaya, developed at the Pushkin State Russian Language Institute and addressed to European students studying Russian as a foreign language. Based on the analysis and testing of mentioned training materials, conclusions on the feasibility of further development of such manuals are drawn.

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9

Kohrt, Brieanne K., Tory M. Lincoln, and Artemio D. Brambila. "Embedding DBT Skills Training Within a Transactional-Ecological Framework to Reduce Suicidality in a Navajo Adolescent Female." Clinical Case Studies 16, no. 1 (September 18, 2016): 76–92. http://dx.doi.org/10.1177/1534650116668271.

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Анотація:

American Indian/Alaska Native (AI/AN) youth have higher rates of suicidality than any other ethnic or cultural group in the United States. Dialectical behavior therapy (DBT) is an evidence-based treatment that has been found to reduce suicidality in adolescents, but there is little literature speaking to its efficacy with the AI/AN population. The transactional-ecological model of suicidality helps identify protective factors that can be bolstered at the individual, familial, community, and spiritual levels to reduce suicidality and suicidal contagion in AI/AN youth. The current study examines a case where DBT was culturally adapted and embedded within a transactional-ecological framework to treat a 14-year-old Navajo female with Major Depressive Disorder with psychotic features who presented to a psychiatric inpatient facility following a suicide attempt. The patient’s wish to die was motivated by her belief that her death could lead to positive changes in an extended family system plagued by historical trauma, alcoholism, suicide, and domestic violence. Ongoing assessment was conducted using the Suicide Status Form (SSF), Suicide Probability Scale (SPS), Reasons for Living Scale for Adolescents (RFL-A), and the DBT diary card. Navajo healing traditions were used in conjunction with DBT skills training and enhancement of ecological protective factors. Initial reduction in depression and suicidality was complicated by an increase in homicidal ideation. A comprehensive psychiatric evaluation was completed, and treatment was modified through medication changes, increased mindfulness practice, bolstering support systems, and engagement in a Navajo healing ceremony. Implications for clinicians treating suicidality in Navajo youth are discussed.

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10

Wang, Zhongxiao. "Evaluation Method of the Influence of Sports Training on Physical Index Based on Deep Learning." Security and Communication Networks 2021 (September 29, 2021): 1–8. http://dx.doi.org/10.1155/2021/6924262.

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Анотація:

With the rapid development of deep learning, computer vision has also become a rapidly developing field in the field of artificial intelligence. Combining the physical training of deep learning will bring good practical value. Physical training has different effects on people’s body shape, physical function, and physical quality. It is mainly reflected in the changes of relevant physical indicators after physical training. Therefore, the purpose of this article is to study the method of evaluating the impact of sports training on physical indicators based on deep learning. This paper mainly uses the convolutional neural network in deep learning to design sports training, then constructs the evaluation system of physical index impact, and finally uses the deep learning algorithm to evaluate the impact of physical index. The experimental results show that the accuracy of the algorithm proposed in this paper is significantly higher than that of the other three algorithms. Firstly, in the angular motion, the accuracy of the mean algorithm is 0.4, the accuracy of the variance algorithm is 0.2, the accuracy of the RFE algorithm is 0.4, and the accuracy of the DLA algorithm is 0.6. Similarly, in foot racing and skill sports, the accuracy of the algorithm proposed in this paper is significantly higher than that of other algorithms. Therefore, the method proposed in this paper is more effective in the evaluation of the impact of physical training on physical indicators.

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11

Alzahrani, Abdulsalam O., and Mohammed J. F. Alenazi. "Designing a Network Intrusion Detection System Based on Machine Learning for Software Defined Networks." Future Internet 13, no. 5 (April 28, 2021): 111. http://dx.doi.org/10.3390/fi13050111.

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Анотація:

Software-defined Networking (SDN) has recently developed and been put forward as a promising and encouraging solution for future internet architecture. Managed, the centralized and controlled network has become more flexible and visible using SDN. On the other hand, these advantages bring us a more vulnerable environment and dangerous threats, causing network breakdowns, systems paralysis, online banking frauds and robberies. These issues have a significantly destructive impact on organizations, companies or even economies. Accuracy, high performance and real-time systems are essential to achieve this goal successfully. Extending intelligent machine learning algorithms in a network intrusion detection system (NIDS) through a software-defined network (SDN) has attracted considerable attention in the last decade. Big data availability, the diversity of data analysis techniques, and the massive improvement in the machine learning algorithms enable the building of an effective, reliable and dependable system for detecting different types of attacks that frequently target networks. This study demonstrates the use of machine learning algorithms for traffic monitoring to detect malicious behavior in the network as part of NIDS in the SDN controller. Different classical and advanced tree-based machine learning techniques, Decision Tree, Random Forest and XGBoost are chosen to demonstrate attack detection. The NSL-KDD dataset is used for training and testing the proposed methods; it is considered a benchmarking dataset for several state-of-the-art approaches in NIDS. Several advanced preprocessing techniques are performed on the dataset in order to extract the best form of the data, which produces outstanding results compared to other systems. Using just five out of 41 features of NSL-KDD, a multi-class classification task is conducted by detecting whether there is an attack and classifying the type of attack (DDoS, PROBE, R2L, and U2R), accomplishing an accuracy of 95.95%.

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12

Wang, Zhao, Yifan Hu, Shiyang Yan, Zhihao Wang, Ruijie Hou, and Chao Wu. "Efficient Ring-Topology Decentralized Federated Learning with Deep Generative Models for Medical Data in eHealthcare Systems." Electronics 11, no. 10 (May 12, 2022): 1548. http://dx.doi.org/10.3390/electronics11101548.

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Анотація:

By leveraging deep learning technologies, data-driven-based approaches have reached great success with the rapid increase of data generated for medical applications. However, security and privacy concerns are obstacles for data providers in many sensitive data-driven scenarios, such as rehabilitation and 24 h on-the-go healthcare services. Although many federated learning (FL) approaches have been proposed with DNNs for medical applications, these works still suffer from low usability of data due to data incompleteness, low quality, insufficient quantity, sensitivity, etc. Therefore, we propose a ring-topology-based decentralized federated learning (RDFL) scheme for deep generative models (DGM), where DGM is a promising solution for solving the aforementioned data usability issues. Our RDFL schemes provide communication efficiency and maintain training performance to boost DGMs in target tasks compared with existing FL works. A novel ring FL topology and a map-reduce-based synchronizing method are designed in the proposed RDFL to improve the decentralized FL performance and bandwidth utilization. In addition, an inter-planetary file system (IPFS) is introduced to further improve communication efficiency and FL security. Extensive experiments have been taken to demonstrate the superiority of RDFL with either independent and identically distributed (IID) datasets or non-independent and identically distributed (Non-IID) datasets.

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13

Künkel, Lars, Rajat M. Thomas, and Joris P. W. Verbiest. "Detecting pulsars with neural networks: a proof of concept." Monthly Notices of the Royal Astronomical Society 506, no. 1 (June 9, 2021): 1111–27. http://dx.doi.org/10.1093/mnras/stab1628.

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ABSTRACT Pulsar searches are computationally demanding efforts to discover dispersed periodic signals in time- and frequency-resolved data from radio telescopes. The complexity and computational expense of simultaneously determining the frequency-dependent delay (dispersion) and the periodicity of the signal is further exacerbated by the presence of various types of radio-frequency interference (RFI) and observing-system effects. New observing systems with wider bandwidths, higher bit rates, and greater overall sensitivity (also to RFI) further enhance these challenges. We present a novel approach to the analysis of pulsar search data. Specifically, we present a neural-network-based pipeline that efficiently suppresses a wide range of RFI signals and instrumental instabilities and furthermore corrects for (a priori unknown) interstellar dispersion. After initial training of the network, our analysis can be run in real time on a standard desktop computer with a commonly available, consumer-grade graphics processing unit (GPU) . We complement our neural network with standard algorithms for periodicity searches. In particular with the Fast Fourier Transform and the Fast Folding Algorithm and demonstrate that with these straightforward extensions, our method is capable of identifying even faint pulsars while maintaining an extremely low number of false positives. We furthermore apply our analysis to a subset of the PALFA survey and demonstrate that in most cases the automated dispersion removal of our network produces a time series of similar quality as dedispersing, using the actual dispersion measure of the pulsar in question. On our test data, we are able to make predictions whether a pulsar is present in the data or not 200 times faster than real time.

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14

Dequidt, Jérémie, Hadrien Courtecuisse, Olivier Comas, Jérémie Allard, Christian Duriez, Stéphane Cotin, Élodie Dumortier, Olivier Wavreille, and Jean-François Rouland. "Computer-based training system for cataract surgery." SIMULATION 89, no. 12 (July 10, 2013): 1421–35. http://dx.doi.org/10.1177/0037549713495753.

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15

Zahorian, Stephen A., and Neiyer S. Correal. "Vowel training experiments with a computer‐based vowel training system." Journal of the Acoustical Society of America 95, no. 5 (May 1994): 3014. http://dx.doi.org/10.1121/1.408799.

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16

Machovikov, Alexei, Kirill Stolyarov, Maxim Chernov, Ian Sinclair, and Iliana Machovikova. "Computer-Based Training System for Russian Word Pronunciation." Computer Assisted Language Learning 15, no. 2 (April 2002): 201–14. http://dx.doi.org/10.1076/call.15.2.201.8192.

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17

Zaloom, Victor, and Prakash Ramachandran. "A computer based training system for process safety management." Computers & Industrial Engineering 31, no. 1-2 (October 1996): 511–14. http://dx.doi.org/10.1016/0360-8352(96)00187-8.

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18

Zang, Hua Dong. "Intelligent Sensor Networks Based Computer Lab Management System." Advanced Materials Research 838-841 (November 2013): 3256–59. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.3256.

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Анотація:

Current emphasis on practical teaching, students creative thinking higher vocational schools teaching philosophy, the traditional manual management mode of the computer training room shows weak features, mainly for equipment maintenance cycle length and the contradiction between the teaching needs. From teaching management, equipment maintenance, environmental management, safety management, explore computer-based training room sensor network management model.

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19

Sharit, J., S. Chen, and D. ‐Y M. Lin. "Expert System Based Training for Emergency Management." Journal of Computing in Civil Engineering 7, no. 1 (January 1993): 6–22. http://dx.doi.org/10.1061/(asce)0887-3801(1993)7:1(6).

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20

Fu, Wai-Tat, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, and John Anderson. "Toward a real-time model-based training system." Interacting with Computers 18, no. 6 (December 2006): 1215–41. http://dx.doi.org/10.1016/j.intcom.2006.07.011.

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21

Rambani, Rohit, James Ward, and Warren Viant. "Desktop-Based Computer-Assisted Orthopedic Training System for Spinal Surgery." Journal of Surgical Education 71, no. 6 (November 2014): 805–9. http://dx.doi.org/10.1016/j.jsurg.2014.04.012.

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22

Resnick, D., C. Mitchell, and T. Govindaraj. "An embedded computer-based training system for rhino robot operators." IEEE Control Systems Magazine 7, no. 3 (June 1987): 3–8. http://dx.doi.org/10.1109/mcs.1987.1105304.

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23

Li, Xin, and Zenon J. Pudlowski. "An Interactive Computer-Based Training System for Electrical Engineering Education." International Journal of Electrical Engineering & Education 32, no. 1 (January 1995): 5–20. http://dx.doi.org/10.1177/002072099503200102.

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Анотація:

An interactive computer-based training system for electrical engineering education A computer learning network including an interactive computer-based training system (ICBTS) for electrical engineering has been developed. This article discusses the integration of instruction design, courseware delivery and students' performance analysis into one flexible system through computer-based learning. It considers the design and development of ICBTS, which is suitable for engineering students at university level.

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24

Sue Boehmer, Linda. "Micro-computer-based expert system technology applied to industrial training." ISA Transactions 28, no. 1 (January 1989): 53–57. http://dx.doi.org/10.1016/0019-0578(89)90057-8.

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25

Yau, Hong-Tzong, and Chien-Yu Hsu. "Development of a Dental Training System Based on Point-based Models." Computer-Aided Design and Applications 3, no. 6 (January 2006): 779–87. http://dx.doi.org/10.1080/16864360.2006.10738431.

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26

Zhou, Jian. "Virtual reality sports auxiliary training system based on embedded system and computer technology." Microprocessors and Microsystems 82 (April 2021): 103944. http://dx.doi.org/10.1016/j.micpro.2021.103944.

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27

Kiselyova, N. N., A. V. Stolyarenko, V. V. Ryazanov, O. V. Sen’ko, A. A. Dokukin, and V. V. Podbel’skii. "A system for computer-assisted design of inorganic compounds based on computer training." Pattern Recognition and Image Analysis 21, no. 1 (March 2011): 88–94. http://dx.doi.org/10.1134/s1054661811010081.

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28

Weiss, Holger, Tobias Ortmaier, Heiko Maass, Gerd Hirzinger, and Uwe Kuehnapfel. "A Virtual-Reality-Based Haptic Surgical Training System." Computer Aided Surgery 8, no. 5 (January 2003): 269–72. http://dx.doi.org/10.3109/10929080309146063.

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29

Pereira, Carlos. "Double Evolution – A Computer-Based Quality Management System for Enterprise-Specific Training." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 11 (July 2000): 406–9. http://dx.doi.org/10.1177/154193120004401120.

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Анотація:

This paper deals with the development and implementation of a computer-based quality management system for enterprise-specific training. The system can be used by both training organisations and enterprises. It gives training processes a structure and it provides instruments that can be used for the assurance and evaluation of the quality of training.

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30

Yu, Shi Lin, Jing Wang, and Chang He Ren. "Design of the Teaching & Training System Based on the Training Ship." Applied Mechanics and Materials 530-531 (February 2014): 1137–41. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.1137.

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According to the teaching and training needs, we establish the network of education and training systems, which is programmed by taking advantage of training ship data, virtual simulation technology, network and computer technology, and provide a more functional teaching and training platform for the real-ship education.

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31

Vasudevan, Madhan Kumar, Joseph H. R. Isaac, Venkatraman Sadanand, and Manivannan Muniyandi. "Novel virtual reality based training system for fine motor skills: Towards developing a robotic surgery training system." International Journal of Medical Robotics and Computer Assisted Surgery 16, no. 6 (October 9, 2020): 1–14. http://dx.doi.org/10.1002/rcs.2173.

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32

Wang, Zi Qing, Bin Shen, Zheng Guo Liu, and Jun Qing Liu. "Remote Repair System Based on VIRTOOLS." Advanced Materials Research 791-793 (September 2013): 1028–31. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1028.

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Анотація:

With the increasingly complex new equipment, its maintenance repair training to become a big problem in the process of using the equipment. The traditional training mode by the equipment repair most limit, long development cycle, the characteristics of large investment, based on analysis of virtual repair training system development and function of demand, establish the remote repair system based on VIRTOOLS . The system can create realistic simulation results on the computer, the computer simulation of realistic behavior. The combination of network technology and virtual reality technology organically will provide a technical platform for remote repair service. This paper studies and discusses the architecture of remote repair system based on VIRTOOLS, the key technology and implementation method. And the system structure of remote fault diagnosis system is analyzed.

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33

Li, He, Gang Zou, Lin Li, and Dehui Yu. "Helicopter Training Simulator Measurement and Control System Based on Computer Simulation Technology." Journal of Physics: Conference Series 2143, no. 1 (December 1, 2021): 012011. http://dx.doi.org/10.1088/1742-6596/2143/1/012011.

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Abstract With the development of computer software technology and simulation technology, simulation training has been widely used. Helicopter training simulation has become an important part of helicopter training, and its status is becoming more and more important. On the one hand, the air mechanic is responsible for the maintenance and organization of the helicopter during the flight, and on the other hand is responsible for the starting and stopping of the helicopter engine, the operation of related equipment, and the handling of emergencies during the flight. The simulation training has the characteristics of high training efficiency, convenient maintenance and low training cost. It will become an important means for helicopter air mechanics to troubleshoot and deal with special situations. This paper aims to study the helicopter training simulator measurement and control system based on computer software technology. Based on the analysis of the advantages of the simulator instead of the actual installation for training, the helicopter training simulator function and the simulator subsystem, the actual installation simulation instrument and signal are designed. The indicator light, the graphic instrument and the control signal are arranged in the circuit, and then the simulation experiment is carried out on the design. The experimental results show that the design can more accurately simulate the indication of the antenna elevation angle table, which meets the requirements of this article.

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34

Engum, Scott A., Pamela Jeffries, and Lisa Fisher. "Intravenous catheter training system: Computer-based education versus traditional learning methods." American Journal of Surgery 186, no. 1 (July 2003): 67–74. http://dx.doi.org/10.1016/s0002-9610(03)00109-0.

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35

Diamond, James, Neil H. Anderson, Deborah Thompson, Peter H. Bartels, and Peter W. Hamilton. "A computer-based training system for breast fine needle aspiration cytology." Journal of Pathology 196, no. 1 (2001): 113–21. http://dx.doi.org/10.1002/path.1012.

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36

Fischer, Kathryn M., Wilhelmina C. Savenye, and Howard J. Sullivan. "Formative Evaluation of Computer-Based Training For a University Financial System." Performance Improvement Quarterly 15, no. 1 (October 22, 2008): 11–24. http://dx.doi.org/10.1111/j.1937-8327.2002.tb00238.x.

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37

Inui, Masahiro, Nobuji Miyasaka, Kazuhiko Kawamura, and John R. Bourne. "Development of a model-based intelligent training system." Future Generation Computer Systems 5, no. 1 (August 1989): 59–69. http://dx.doi.org/10.1016/0167-739x(89)90021-6.

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38

Li, Chunguang, and Jianbiao Cui. "Intelligent Sports Training System Based on Artificial Intelligence and Big Data." Mobile Information Systems 2021 (May 22, 2021): 1–11. http://dx.doi.org/10.1155/2021/9929650.

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All activities in training fields are for the improvement of athletes’ competitive abilities. A sports training system is an organizational system to achieve common goals. Competitive ability is one of the main manifestations of the evolution of the training system. With the rapid development of computer technology, people have begun to combine virtual reality and other technologies to achieve scientific sports-assisted training to eliminate traditional sports training that relied purely on experience. Pose estimation obtains the position, angle, and additional information about the human body in the image in a two-dimensional plane or three-dimensional space by establishing the mapping relationship between the human body features and the human body posture. This article demonstrates a golf-assisted training system to realize the transformation from an experience-based sports training method to a human motion analysis method, using artificial intelligence and big data. The swing posture parameters of the trainer and the coach are obtained using the posture estimation of a human body. Based on this information, an auxiliary training system is built. The two parameters of the joint angle trajectory and the posture similarity are used as auxiliary indicators to compare the trainers. The joint angle trajectory is analyzed, and the coach is guided based on the similarity of the posture.

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39

Shankararaman, V., and B. S. Lee. "Knowledge-based safety training system (KBSTS)— A prototype implementation." Computers in Industry 25, no. 2 (December 1994): 145–57. http://dx.doi.org/10.1016/0166-3615(94)90045-0.

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40

IYER, LAXMI R., KIRUTHIKA RAMANATHAN, and SHENG-UEI GUAN. "MULTI-LEARNER BASED RECURSIVE SUPERVISED TRAINING." International Journal of Computational Intelligence and Applications 06, no. 03 (September 2006): 429–49. http://dx.doi.org/10.1142/s1469026806001861.

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In this paper, we propose the multi-learner based recursive supervised training (MLRT) algorithm, which uses the existing framework of recursive task decomposition, by training the entire dataset, picking out the best learnt patterns, and then repeating the process with the remaining patterns. Instead of having a single learner to classify all datasets during each recursion, an appropriate learner is chosen from a set of three learners, based on the subset of data being trained, thereby avoiding the time overhead associated with the genetic algorithm learner utilized in previous approaches. In this way MLRT seeks to identify the inherent characteristics of the dataset, and utilize it to train the data accurately and efficiently. We observed that empirically MLRT performs considerably well as compared with RPHP and other systems on benchmark data with 11% improvement in accuracy on the SPAM dataset and comparable performances on the VOWEL and the TWO-SPIRAL problems. In addition, for most datasets, the time taken by MLRT is considerably lower than that of the other systems with comparable accuracy. Two heuristic versions, MLRT-2 and MLRT-3, are also introduced to improve the efficiency in the system, and to make it more scalable for future updates. The performance in these versions is similar to the original MLRT system.

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41

Lin JunWei. "The Building of Sports Training System based on Ubiquitous Computation." International Journal of Advancements in Computing Technology 5, no. 6 (March 31, 2013): 1143–52. http://dx.doi.org/10.4156/ijact.vol5.issue6.134.

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42

Liu, Yi. "Analysis Based Sports Training Mode Industry Professional’s Gray System Theory." Information Technology Journal 12, no. 23 (November 15, 2013): 7460–65. http://dx.doi.org/10.3923/itj.2013.7460.7465.

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43

COSÍO, F. ARÁMBULA, M. A. PADILLA CASTAÑEDA, and P. R. SEVILLA MARTÍNEZ. "COMPUTER ASSISTED PROSTATE SURGERY TRAINING." International Journal of Humanoid Robotics 03, no. 04 (December 2006): 485–98. http://dx.doi.org/10.1142/s0219843606000916.

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We report the current development of a new computer assisted system for local and remote training of transurethral resection of the prostate (TURP). The system is based on a 3D computer model of the prostate gland, which simulates deformations and resections of prostatic tissue. Simulated resections of the prostate can be repeatedly performed by the residents of urology to enhance their training. Automatic prostate recognition software was developed for the construction of a large library of prostate models. We report the software development of the system and show promising preliminary results of a new prostate recognition algorithm.

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44

Rubio, Victor J., Luis F. Garcia, and Jose Santacreu. "A computer-based assessment tool for functional analysis tasks: first step to a computer-based training system." International Journal of Continuing Engineering Education and Lifelong Learning 12, no. 1/2/3/4 (2002): 123. http://dx.doi.org/10.1504/ijceell.2002.000423.

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45

Mioduser, David, and Malka Margalit. "TTIPSS—A Computer-Based System for Training Problem Solving and Educational Planning." Journal of Special Education Technology 13, no. 3 (June 1997): 1–13. http://dx.doi.org/10.1177/016264349701300301.

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Children with special educational needs are at risk for developing maladjustment behaviors, and special education teachers need specific training for meeting children's challenging behaviors with effective strategies. In line with Shulman's paradigm of instructional knowledge, TTIPSS as an interactive technology-based system was designed to support teachers' problem solving training for promoting interventional planning. Utilizing the advantages of the expert-system technology in teacher training, the five training stages of TTIPSS were presented: (a) case description, (b) formulating the preliminary hypothesis, (c) collecting additional information through questions from four different sources: observations, the psychologist's report, parents' inter-view and the child's view, (d) intervention planning and (e) evaluation. Preliminary pilot reflected teachers' satisfaction and focused attention at needed changes. A sample session illustrates the teachers' patterns of interactions with the system.

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46

Yau, H. T., L. S. Tsou, and M. J. Tsai. "Octree-based Virtual Dental Training System with a Haptic Device." Computer-Aided Design and Applications 3, no. 1-4 (January 2006): 415–24. http://dx.doi.org/10.1080/16864360.2006.10738480.

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47

Tuena, Cosimo, and Giuseppe Riva. "Active Navigation Training: An Innovative Embodied-Based Training System for Spatial Navigation in Aging." Cyberpsychology, Behavior, and Social Networking 25, no. 1 (January 1, 2022): 77–78. http://dx.doi.org/10.1089/cyber.2021.29236.ceu.

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48

Paszkiel, Szczepan, and Paweł Dobrakowski. "Brain–computer technology-based training system in the field of motor imagery." IET Science, Measurement & Technology 14, no. 10 (December 20, 2020): 1014–18. http://dx.doi.org/10.1049/iet-smt.2019.0522.

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49

Wu, Zhefu, Agyemang Paul, Junzhuo Cao, and Luping Fang. "Directional Adversarial Training for Robust Ownership-Based Recommendation System." IEEE Access 10 (2022): 2880–94. http://dx.doi.org/10.1109/access.2022.3140352.

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50

Feng, Dexue. "Research on Track and Field training System Based on Network Technology." International Journal of Multimedia and Ubiquitous Engineering 11, no. 1 (January 31, 2016): 407–16. http://dx.doi.org/10.14257/ijmue.2016.11.1.39.

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