Automatic speech emotion recognition is a process of recognizing emotions in speech. This has wide applications in the area of phsycatrics help and in robotics’he human computer interaction the challenging area of research. Any effective HCI system has two sections Training and testing. The techniques used in the system are feature extraction and classification. This paper focuses on the brief ...

The geometric errors in the manufacturing process can be reduced by optimal positioning of the fixture elements in the fixture to make the workpiece stiff. We propose a new fixture layout optimization method N-3-2-1 for large metal sheets in this paper that combines the genetic algorithm and finite element analysis. The objective function in this method is to minimize the sum of the nodal defle...

-Test data generation is basically the process of identifying a set of data which satisfy the criteria set for testing. Lot of research have been done by many researchers and they developed many test data generators like random test data generators, symbolic test data generators and dynamic test data generators. This paper applied the optimization study of the test case generation based on the ...

Mixed-Initiative Systems (MIS) are hybrid decision systems where collaboration is possible between humans and machines. However, current systems sometimes override user preferences when provided with new ones. We studied linear optimization problems, where the decision maker is specifying preferences for variable values through an iterative process. We proposed a goal programming framework to d...

This paper presents an approach that uses supervisor architecture structure with the intention to reach flexibility of the combustion process control during the boiler functioning on the example of the high qualified Power AG. For this case, adaptive distributed control system with the supervisor on top is invented, on the middle layer with load distribution on burners and maintenance of optima...

Lagrangian Rate Distortion Optimization (RDO) is widely employed in modern video encoders such as H.264/AVC and H.264/AVC for mode decision. During the RDO process the distortion and bit rate of each mode has to be estimated and more an accurate estimation leads to better optimized decisions. This paper explores accurate, non-integer bit estimation and its impact on better RDO. Simulations show...

High dimensionality has been a major problem for gene array-based cancer classification. Feature Selection (FS) is ordinarily used as a useful technique in order to reduce the dimension of the dataset. For that to get advantages from both methods of feature selection, Individual Feature Ranking (IFR) and Feature Subset Selection (FSS) are combined which is a hybrid approach. Information Gain fr...

System identification refers to estimation of process parameters and is a necessity in control theory. Physical systems usually have varying parameters. For such processes, accurate identification is particularly important. Online identification schemes are also needed for designing adaptive controllers. Real processes are usually of fractional order as opposed to the ideal integral order model...