Contemporary FPGA-based reconfigurable systems have been widely used to implement data dominated applications. In these applications data transfer and storage consume a large proportion of the system energy. Exploiting data reuse can introduce significant power savings, but also introduces the extra requirement for on-chip memory. To aid data reuse design exploration early during the design cyc...

This contribution presents an application of principal component analysis (PCA) and K-means clustering as tools for data dimension reduction grouping multivariate, whole-rock lithogeochemical data. The study dataset consists 64 geochemical variables measurements spectrophotometric brightness determined from 181 dolomite marble samples, collected at various distance two contrasting types mineral...

We investigate a route exploration problem with N agents dropped randomly on the interval [0,b] and discuss the impact of using multiple agents to perform this task. We consider both a discrete and a continous description of the path to explore. Independantly, we study an exploration problem with probabilistic agents having limited autonomy. In both problems , multi-agent scenarios are discusse...

Exchanging gazes with a social partner in response to an event in the environment is considered an effective means to direct attention, share affective experiences, and highlight a target in the environment. This behavior appears during infancy and plays an important role in children's learning and in shaping their socio-emotional development. It has been suggested that cultural values of the c...

This work presents further enhancements to an environment for exploring coarse grained reconfigurable data-driven array architectures suitable to implement data-stream applications. The environment takes advantage of Java and XML technologies to enable architectural trade-off analysis. The flexibility of the approach to accommodate different topologies and interconnection patterns is shown by a...

This research enables robot explorers to maximize the total information gained while minimizing costs such as driving, sensing and planning. This paper presents a general methodology for solving complex exploration tasks which employs multiple sources of information. The paper also develops a specific instantiation of the method to solve the exploration problem of creating a complete traversabi...

Theoretical models of social learning predict that individuals can benefit from using strategies that specify when and whom to copy. Here the interaction of two social learning strategies, model age-based biased copying and copy when uncertain, was investigated. Uncertainty was created via a systematic manipulation of demonstration efficacy (completeness) and efficiency (causal relevance of som...

In this paper, we present a unified estimation technique to find the lower bounds on the number of LUT blocks and that of the micro-registers which can be obtained by any partitioning or synthesis methods, respectively, without performing any actual synthesis and/or design space exploration. The lower bound estimation is very important in sense that it greatly helps to evaluate the results of t...

This paper reviews recent developments under the free energy principle that introduce a normative perspective on classical economic (utilitarian) decision-making based on (active) Bayesian inference. It has been suggested that the free energy principle precludes novelty and complexity, because it assumes that biological systems-like ourselves-try to minimize the long-term average of surprise to...