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This paper describes the technology of artificial neural network application to solve the problem of anomalous network activity diagnosis. We offer methods for network activity data collection and training set formation. We select network packets parameters whose values together with network activity characteristics constitute the sample for artificial neural network training. We offer artificial...
Electroencephalography (EEG) is an emerging held of digital signal processing. EEG is electrical signals which are recorded by the sensors attached on the human scalp to detect human's brain activities along the scalp. EEG signal processing has been a technically challenging problem for researchers due to its extremely noisy nature compared to other different kinds of digital data such as voice or...
The state-of-the-art image classification methods require an intensive learning stage and a considerable amount of training images. Recently, with the introduction of these models (and in particular convolutional neural network (CNN)), it is believed that the best solution to achieve a system with high performance on scene classification is to learn deep scene features using CNN. While this can be...
This work focuses on the issue of a high performance computing education based on systems such as grid, cloud, HPC cluster or systems with hybrid environments. The goal is based on the analysis of the High Performance Computing Strategic Research Agenda in Europe and the published findings in USA in context of needs for education and training specifically in HPC and Compute Intensive Science. In order...
The orientation is occupying an increasingly important role in the process of determining the future of the students, which leads to the obligation to make it automatic and accessible, both in terms of immediate accessibility throughout the world or in the offering of several languages that correspond to the language used by the majority of students or persons in need of guidance. These problems can...
Preserving important troubleshooting experience gained in industrial practice, often referred to as “tribal knowledge”, and making it readily available to be re-applied in similar situations represent a serious challenge for many companies in heavy industry. The solution is very often tied to building mental models to capture and express key latent cognitive variables. In this paper, we first attempt...
Wavelet analysis is a pattern recognition technique that has been used to analyze signals and images such as medical scans and hyperspectral imagery. We hypothesize that wavelets can also be used to analyze educational data. We explore the use of Haar wavelets to differentiate various patterns in a student attention data set. The data consists of a very large set of binary attention data (on-task/off-task)...
Gender equality and empowerment of women is accepted universally as an important aspect of development. In India there is a high gender gap in literacy, high dropout rate in girl students, high incidence of crime against women, high negligence in economic freedom, low involvement in decision making and very low recognition for their efforts and contribution in agriculture and allied sectors. The scenario...
As technology infiltrates every aspect of students' daily lives, game design acquires a bigger and more influential impact on shaping students' personalities and development of learning competencies. Considering the continuously increasing research on the use of educational games in classrooms, the researcher identifies another great interest in the constructivistic perspective of game design for...
Results of development and practical introduction of advanced professional English training course into a higher school educational process for masters of sciences in electro-mechanics at polytechnic university's electrical engineering department are introduced.
In distance learning platforms the training is adapted to each learner's cognitive profile. It combined between the individualization of course units according to each learner and the collaboration between learners themselves and tutors. However, teachers no longer have direct contact with learners that allow them to assess their evolution. Hence the importance of integrating the tracking of learners...
This research is an attempt to identify the impact of effectiveness of the maritime simulator training program on different factors of needs and interest of the program. Model is developed to understand the impact. Data was collected from the course participants attending various simulator based training programmes from three training centers. Confirmatory factor analysis was employed to examine the...
This paper introduces a set of devices for training and evaluation on repair electric fault of lathe machine based on the wireless network. These devices is a network structure which consists of one principle computer and some slaves, that is to say that it contains single master and multi-followers. It employs a wireless digital transfer method as its communication mode. It can manage to complete...
Indonesia has high mortality caused by cardiovascular diseases. To minimize the mortality, we build a tele-ecg system for heart diseases early detection and monitoring. In this research, the tele-ecg system was enhanced using Hadoop framework, in order to deal with big data processing. The system was build on cluster computer with 4 nodes. The server is able to handle 60 requests at the same time...
Imagine you are an operating room nurse. Could training with virtual human teammates empower you to speak up to a bullying teammate? Could virtual teammates change the way you speak as to reduce errors? How about learn new patient safety policies or efficiently transfer care?In this talk, we will explore the emerging area of using virtual humans to subtly influence healthcare teams' teamwork and communication...
It is important to provide detailed and instructive feedback in computer assisted pronunciation training (CAPT) system. However the feedback is limited to the accuracy of the erroneous tendency detection. This paper proposed to apply senone log-likelihood ratio based articulatory features (AFs) to improve pronunciation erroneous tendency (PET) detection performance. Also the feedback information of...
Commercial/Military-Off-The-Shelf (COTS/MOTS) Computer Generated Forces (CGF) packages are widely used in modeling and simulation for training purposes. Conventional CGF packages often include artificial intelligence (AI) interfaces, but lack behavior generation and other adaptive capabilities. We believe Machine Learning (ML) techniques can be beneficial to the behavior modeling process, yet such...
This paper contributes to the ongoing efforts in the cybersecurity community to strengthen cyber workforce development by providing an overview of key gaps and proposing practical education strategies. Leveraging documented incidents from defense, industry, and academia and the rest of the United States government, we identify emerging cyber-education opportunities highlighting human-centric elements...
This study reviews the current situation of Self-Access Media (SAM) and independent learning by looking at Self-Access Learning Materials (SALM) available for Computer Graphics (CG) artists. Since past two decades huge progress in software, hardware, Graphical User Interface (GUI) and World Wide Web (WWW) has enabled many individuals to develop an independent learning attitude by using SALM (mostly...
Motor imagery brain-computer interfaces (MIBCI) use hand or foot MI to control computers. However, MIBCI control accuracy is low. Previously, we determined that using max power in the mu band method, i.e., the peak trace method (PTM), improves event-related desynchronization (ERD) detection accuracy. Control accuracy may be improved by improving ERD detection accuracy in an MIBCI. In this study, we...
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