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Discriminative Clustering of Yeast Stress Response
When a yeast cell is challenged by a rapid change in the conditions, be it temperature, osmolarity, pH, nutrient or other, it starts a genome stress...
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Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning
Based on the Human Genome Project, the new interdisciplinary subject of bioinformatics has become an important research topic during the last decade....
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13 Haptic Interfaces: Collocation and Coherence Issues
Multi-modality, collocation and immersive VE nowadays represents the break-trough barrier of human computer interaction. Typical VE systems...
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6 Efficient and Precise Grasp Planning for Real World Objects
With the development of .exible and highly integrated dexterous grip** devices (e.g. fig.6.1) the research results on grasp and manipulation...
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4 Modelling and Controlling the Compliance of a Robotic Hand with Soft Finger-pads
Compliant pads greatly contribute to increase the robustness and the stability of grasps of robot hands, because of their conformability to the...
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7 Conclusions
Gyrover is a novel concept for mobility that has distinct advantages over conventional, statically stable vehicles. The concept has been veri.ed with...
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Cluster Identification Using Maximum Configuration Entropy
Clustering is an important task in data mining and machine learning. In this paper, a normalized graph sampling algorithm for clustering that...
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First-Order Logic Based Formalism for Temporal Data Mining*
In this article we define a formalism for a methodology that has as purpose the discovery of knowledge, represented in the form of general Horn...
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Identification of Critical Values in Latent Semantic Indexing
In this chapter we analyze the values used by Latent Semantic Indexing (LSI) for information retrieval. By manipulating the values in the Singular...
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On-line Model Learning for Mobile Manipulations
In control system design, modeling the control objects is the foundation of high performance controllers. In most cases, the model is unknown before...
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A Vision of the New Civilization Era
This chapter is organized as follows. After stressing the importance of having a vision on the verge of the new era of knowledge civilization, we...
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A New Role of Systems Science Informed Systems Approach
This chapter is organized as follows. We show first that, while systems science is by its definition interdisciplinary, a split into soft systems...
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7 Geometrical Parameter Estimation and CF Recognition
This chapter presents the estimator component of the autonomous compliant motion system (see Fig. 1.2). This component...
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3 Literature Survey: Bayesian Probability Theory
This chapter presents some basic aspects of Bayesian probability theory [21, 153]. First of all, the difference between Bayesian and classical...
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8 Experiment: A Cube-In-Corner Assembly
This chapter validates the theory of the previous chapters with an experiment. The experiment consists of the estimation of the geometrical...
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Homogeneous Semantics Preserving Deployments of Heterogeneous Networks of Embedded Systems
Tagged systems provide a denotational semantics for embedded systems. A heterogeneous network of embedded systems can be modeled mathematically by a...
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6. Kinematic Control of UVMSs
A robotic system is kinematically redundant when it possesses more degrees of freedom than those required to execute a given task. A generic...
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6 Contact Modelling
This chapter describes the contact modelling for autonomous compliant motion assuming quasi-static, rigid, frictionless contacts. The contact models...
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E Partial Observation with the Kalman Filter
This appendix contains the proofs of Lemmas 7.1 and 7.2. These lemmas state that, for static systems, (i) a Kalman Filter can be run on only the...
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Distributed Kalman Filtering and Sensor Fusion in Sensor Networks
The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation problems for scalable...