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This study is focused on the application of the forecast results obtained with the help of a dual-parametric neural network for measuring instruments calibration within a limited range. In this report describing our study we intend to give a theoretical overview of the previous research on the subject. We also consider the learning algorithms for interval neural networks with hidden layer weights...
Online experimentation available through web collaborative platforms is a valuable tool for students in science and engineering courses looking for skills to be part of the driving force behind Industry 4.0. However, the user's virtual presence on this type of tools demands that their educational value be carefully assessed. This work presents a case study in which students of a Mechanical Engineering...
Retrieving short monophonic queries in music recordings is a challenging research problem in Music Information Retrieval (MIR). In jazz music, given a solo transcription, one retrieval task is to find the corresponding (potentially polyphonic) recording in a music collection. Many conventional systems approach such retrieval tasks by first extracting the predominant F0-trajectory from the recording,...
New nurse training is a significant research subject. The aim of this study was to investigate effect of the video teaching method in the standardized training of new nurses in RenHe Hospital of China Three Gorges University. Firstly, 43 new nurses admitted to hospital in 2014 were set as the control group using traditional teaching methods to train and 50 new nurses who were admitted to hospital...
In order to make up the drawback of traditional skill assessment that is too subjective, the eye tracking has already been applied to various fields. Based on research on eye movement of flying skills, it is found that the average fixation time and eye moving trace of professional pilot varies from that of novice. It is still unclear the changes in eye movement data during key actions after improvement...
The paper presents a method for developing illusionary flight profiles situations for practical testing of pilots using the GYRO IPT II spatial disorientation simulator. Standard flight profiles do not use the full capability of the simulator to train pilots for recognition and recovery from illusions appearing unexpectedly. For this reason, there is a need to create new flight profiles so as to demonstrate...
The popularity of open source technologies is growing day to day across the globe and especially in education sector. Open source attracts developers and is motivated by numerous factors including openness, reliability, audit ability, stability, cost, flexibility and freedom. Learning Management System (LMS) is online software that simplifies learning. Number of open source Learning Management Systems...
Automatically identifying the musical instruments present in audio recordings is a complex and difficult task. Although the focus has recently shifted to identifying instruments in a polyphonic setting, the task of identifying solo instruments has not been solved. Most empirical studies recognizing musical instruments use only a single dataset in the experiments, despiteevidence that mapproaches do...
An improved least squares support vector machines (LS-SVM) was proposed to improve the sparse and robust performance of LS-SVM in the small samples prediction. The sparse and robust performance could be improved through adding elements of weighted LS-SVM and robust LS-SVM. We introduced a contrast experiment for ATE parameters prediction control through the three methods of neural network, LS-SVM...
The U.S. Army Program Executive Office (PEO) Simulation Training and Instrumentation (STRI) has established a Live Training Transformation (LT2) product line approach to developing a Family of Training Systems (FTS) that provide the ground maneuver training range functions supporting Army live and Joint training environments. The success of the LT2 program strategy is dependent on defining standards...
Visible and near infrared (Vis/NIR) spectroscopy combined with a hybrid calibrations of partial least squares (PLS), BP neural network (BPNN) and least squares-support vector machine (LS-SVM) was investigated to determine the pH values of rice vinegars. Five varieties of rice vinegars and 300 samples were prepared. After some preprocessing, PLS was implemented for calibration as well as the extraction...
Within this paper we present a model of elaboration of National Qualification Framework and Study Programs for engineers' training on the basis of a competitive approach, European Credit Transfer System (ECTS), and the demands of the new higher educational structure on cycles: Bachelor-Master-Doctorate (B-M-D). This model constitutes the basis of all study programs in engineering domains proposed...
The net generation of students have characteristics which make them well-suited for participating in open source projects including being comfortable with information technologies, using IT as a form of communication, desiring to work in groups, a desire to do social good, and being fascinated by new technologies. The nature of open source projects where communities of developers from around the world...
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