The concept of Digital Business Ecosystem becomes an important aspect of everyday economy and technologies in this area are becoming a reality considering that results from European Join Collaborative Research Project...
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This paper explores a relatively new methodological approach for the field integrating learning and education, with other research areas, such as neurobiological, cognitive, and computational sciences. Specifically, p...
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ISBN:
(纸本)9781479931927
This paper explores a relatively new methodological approach for the field integrating learning and education, with other research areas, such as neurobiological, cognitive, and computational sciences. Specifically, presented work is an interdisciplinary piece of research aiming to simulate appropriately a challenging and critical issue concerned with academic performance in e-learning systems. Namely, considering face to face tutoring phenomenon observed while an interactive e-learning process is performed. Referring to strong interest announced by educationalists to know how neurons' synapses inside the brain are interconnected. Together to perform communication processing among brain regions. Herein, a special attention has been developed towards dynamical academic evaluation of timely based brain learning via face to face (FTF) interactive tutoring. In other words, this piece of research presents an interdisciplinary realistic dynamic investigation. For academic performance phenomenon associated with e-learners' contribution as time response performed human's brain neuronal function. Accordingly, Artificial Neural Networks (ANN~s) have been adopted for realistic modeling of academic performance evaluation based on timely dependant student's response till attaining learning convergence (desired output). After running of designed realistic simulation program, some interesting results have been presented. Interestingly, individual differences' phenomenon observed via after statistical analysis of obtained simulation results.
In this paper comparison of the two innovative signal processing methods for analysis of both EEG and EMG biomedical signals is in short presented. The reason for that is caused by the fact, that nowadays the broad an...
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In this paper comparison of the two innovative signal processing methods for analysis of both EEG and EMG biomedical signals is in short presented. The reason for that is caused by the fact, that nowadays the broad analysis of various biomedical signals is extremely popular. The first method presented in this paper relies on kernel density estimators application. Implementation of such method enables construction of densitograms for the examined bio-signals. One of the biggest advantages of this method is that it allows to obtain statistically filtered signals, which results in making the whole signal processing task significantly quicker. The second method described in this paper is based on basic mathematical operations only. Despite its simplicity the whole process can be implemented on almost any hardware platform, including those with very limited computational capabilities. Also it makes the task quick. In accordance with the conducted experiments - the method is also efficient and as it can also be implemented on embedded platform and the algorithm can be rewritten in any programming language, the potential application of this method is wide.
This paper proposes a modern approach for the methodology that supports the measure the audience for outdoor poster advertising. The classic approach of conducting complex, limited and expensive studies about human da...
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Cloud Computing is a fairly new paradigm but evolving very fast. Nowadays, business enterprise services and middle ware such as SAP or Oracle are integrated into a Cloud infrastructure. Also, Cloud services are used f...
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Task scheduling algorithms have a huge impact by handling and executing users' requests in a data-center that serves a Cloud System. A problem very close to the industry is the capability to estimate costs, especi...
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Cost models are fundamental building blocks for cloud computing. Cloud providers offer a very wide portfolio of services, while Cloud clients access them against some financial arrangement. There is a fundamental trad...
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The nonlinear nature of bioprocesses often leads to the occurrence of the self-sustained oscillations of the biomass concentration in continuous flow bioreactors. For some practical reasons, sometimes it is necessary ...
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It is a truth universally acknowledged that 'a picture is worth a thousand words'. The emerge of digital media has taken this saying to a complete new level. By using steganography, one can hide not only 1000,...
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Previous research has shown that repetitive processes, a class of 2D systems, can be used to design linear model based iterative learning control laws for convergence and transient performance, with supporting experim...
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