Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

Almost every large system is initiated with an intention of building something, which has new value to its stakeholders. Yet, turning this simple statement into reality is often problematic since the concept of value is not always explicitly defined or structually incorporated in the formal frameworks of program planning and systems engineering. Quite often, beyond traditional financial measure...

The E Team (Exploring Ethical decision-making in Engineering) is a group of engineering educators and educational researchers who have worked collaboratively since 2000 to understand the underlying causes of academic dishonesty in engineering undergraduate populations. The team was especially motivated by decades of others’ work showing that, when surveyed, engineering students were among those...

The E Team (Exploring Ethical decision-making in Engineering) is a group of engineering educators and educational researchers who have worked collaboratively since 2000 to understand the underlying causes of academic dishonesty in engineering undergraduate populations. The team was especially motivated by decades of others’ work showing that, when surveyed, engineering students were among those...

Der folgende Beitrag überträgt das Konzept von “value-based software engineering” wie vom Boehm ursprünglich vorgeschlagen auf die Softwarewartung. Zunächst werden verschiedene Ansätze zur Bewertung eines Softwaresystems und zur Berechnung eines “return of investment (ROI)” vorgestellt. Anschließend schlägt der Autor eine Bewertungsmethodik vor, die auf Hayek’s Theorie der Werterhaltung von Kap...

vs. Contextualized Representations During our initial team discussions, the engineering subject matter expert (SME) brought to our attention the fact that engineering textbooks at the college level typically represent engineering content in abstract form, that is, with generic symbols (Moore, Miller, Lesh, Stohlmann, & Kim, 2013; Nathan et al., 2013). The rest of the team was surprised to learn...

The purpose of this paper is to introduce a new estimation method for estimating the Archimedean copula dependence parameter in the non-parametric setting. The estimation of the dependence parameter has been selected as the value that minimizes the Cramér-von-Mises distance which measures the distance between Empirical Bernstein Kendall distribution function and true Kendall distribution functi...

The goal of this study was to explore the feasibility of continuous neurophysiological assessment of different psychological aspects of a team process. The teams consisted of the MBA students who discussed and attempted to solve a case problem dealing with corporate social responsibility (i.e. child labor). At the end of the team process, two types of psychological metrics (i.e., engagement and...