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...

With accumulating public omics data, great efforts have been made to characterize the genetic heterogeneity of breast cancer. However, identifying novel targets and selecting the best from the sizeable lists of candidate targets is still a key challenge for targeted therapy, largely owing to the lack of economical, efficient and systematic discovery and assessment to prioritize potential therap...

This report gives an overview of methods and approaches applicable to the UAV flight path and sensor aiming planning problem for search and track of multiple ground targets. The main focus of the survey is on stochastic optimal control, dynamic programming, partially observable Markov decision processes, sensor scheduling, bearings-only tracking, search and exploration. References to standard t...

Asteroids, because of the hazard they pose to Earth, are compelling targets for robotic and human space exploration. Yet because of their exotic low-gravity environment, simply landing on an asteroid appears to be much more challenging than we had appreciated 5 or 10 years ago. Thanks to a bold new mission from Japan that has made the first asteroid sample return attempt, this goal is now withi...

We present an interactive visualizer that enables the exploration, measurement, analysis and manipulation of trajectories. Trajectories can be generated either automatically by multi-target tracking algorithms or manually by human annotators. The visualizer helps understanding the behavior of targets, correcting tracking results and quantifying the performance of tracking algorithms. The input ...

A series of caffeic acid amides were designed, synthesized and evaluated for anti-inflammatory activity. Most of them exhibited promising anti-inflammatory activity against nitric oxide (NO) generation in murine macrophage RAW264.7 cells. A 3D pharmacophore model was created based on the biological results for further structural optimization. Moreover, predication of the potential targets was a...

We present a visual odometry system for short term self localization. It targets autonomous planetary exploration in an unknown rough environment. The singularity of the method is to estimate long elementary displacements at low frequency, 0.1Hz against more than 1Hz usually. Our algorithm is evaluated in a Marslike visual environment, on short and long trajectories, as a whole and step by step...