In this paper, we investigate cross-lingual automatic speech emotion recognition. The basic idea is that since the emotion recognition system is based on the acoustic features only, it is possible to combine data in different languages to improve the recognition accuracy. We begin with the construction of a Mandarin database of emotional speech, which is similar to the well-known Berlin Databas...

The utilization of a multi-objective approach for evolving artificial neural networks that act as the controllers for phototaxis and radio frequency (RF) localization behaviors of a virtual Khepera robot simulated in a 3D, physics-based environment is discussed in this chapter. It explains the comparison performances among the elitism without archive and elitism with archive used in the evoluti...

We have already proposed a similarity-based mating scheme to recombine extreme and similar parents for evolutionary multiobjective optimization. In this paper, we examine the effect of the similarity-based mating scheme on the performance of evolutionary multiobjective optimization (EMO) algorithms. First we examine which is better between recombining similar or dissimilar parents. Next we exam...

In Simulation-based Evolutionary Multi-objective Optimization (EMO) the available time for optimization usually is limited. Since many real-world optimization problems are stochastic models, the optimization algorithm has to employ a noise compensation technique for the objective values. This article analyzes Dynamic Resampling algorithms for handling the objective noise. Dynamic Resampling imp...

In this paper, we present and verify a new model designed to capture the benefits of protocol offload in the context of high performance computing systems. Other models capture the benefits of offload or the performance of parallel applications. However, the extensible message-oriented offload model (EMO) is the first model to emphasize the performance of the network protocol itself and models ...

DAF-21, a Caenorhabditis elegans homologue of Hsp90, is expressed primarily in germline cells. Although mutations in the daf-21 gene affect animal fertility, its cellular roles have remained elusive. To phenocopy daf-21 mutations, we impaired the daf-21 function by RNA interference (RNAi), and found that oocytes skipped the diakinesis arrest and displayed a defective diakinesis arrest, which le...

Evolutionary multi-objective optimization (EMO) has received significant attention in recent studies in engineering design and analysis due to their flexibility, wide-spread applicability and ability to find multiple trade-off solutions. Optimal machining parameter determination is an important matter for ensuring an efficient working of a machining process. In this paper, we describe the use o...

Many-objective optimization has attracted much attention in evolutionary multi-objective optimization (EMO). This is because EMO algorithms developed so far often degrade their search ability for optimization problems with four or more objectives, which are frequently referred to as many-objective problems. One of promising approaches to handle many objectives is to incorporate the preference o...

Test problems have played a fundamental role in understanding the strengths and weaknesses of the existing Evolutionary Multiobjective Optimization (EMO) algorithms. A range of test problems exist which have enabled the research community to understand how the performance of EMO algorithms is affected by the geometrical shape of the Pareto front (PF), i.e., PF being convex, concave or mixed. Ho...