Emotional Intelligence (EI) refers how well an individual’s handle herself or himself and others instead of their technical skills to solve the problem. Creativity makes the individual to think deeply and manage their emotions while applying new knowledge in their organization. A positive attitude toward training and working environment can develop the employee’s emotional intelligence and crea...

The GTZAN dataset appears in at least 100 published works, and is the most-used public dataset for evaluation in machine listening research for music genre recognition (MGR). Our recent work, however, shows GTZAN has several faults (repetitions, mislabelings, and distortions), which challenge the interpretability of any result derived using it. In this article, we disprove the claims that all M...

In this paper, the theory and modeling of large scale photovoltaic (PV) in the power grid and its effect on power system stability are studied. In this work, the basic module, small signal modeling and mathematical analysis of the large scale PV jointed multi-machine are demonstrated. The principal portion of the paper is to reduce the low frequency fluctuations by tuned stabilizer in the atten...

dynamic cellular manufacturing systems,   mixed-integer non-linear programming,   production planning, manufacturing attributes   this paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (dcms) based on production planning (pp) decisions and several manufacturing attributes. such an integrated dcms model with an extensive c...

We discuss our work creating the Wekinator software for end-user interactive machine learning, and we outline five key findings pertaining to our observations of its use in music composition and performance.

Many types of data, such as natural languages, have rich internal redundancy, which can be used to substantially improve the error correction performance. This work studies machine learning and algorithmic techniques for correcting errors in compressed or uncompressed languages.

In this study, we explore a human benchmark in language recognition, for the purpose of comparing human performance to machine performance in the context of the NIST LRE 2007. Humans are categorised in terms of language proficiency, and performance is presented per proficiency. The main challenge in this work is the design of a test and application of a performance metric which allows a meaning...

The study is concerned with the mathematical modelling and parameter identification of nonlinear motion control systems. The control systems under review are the axis motion control systems for a 3-axis CNC machine tool. The modelling process commences with lumped parameter methods applied to each element and then to each axis in turn. Comparing the dynamic performance of the simulated axis dri...