Sensory processing and world modeling for an active ranging device

In this project, we studied world modeling and sensory processing for laser range data. World Model data representation and operation were defined. Sensory processing algorithms for point processing and linear feature detection were designed and implemented. The interface between world modeling and sensory processing in the Servo and Primitive levels was investigated and implemented. In the primitive level, linear features detectors for edges were also implemented, analyzed and compared. The existing world model representations is surveyed. Also presented is the design and implementation of the Y-frame model, a hierarchical world model. The interfaces between the world model module and the sensory processing module are discussed as well as the linear feature detectors that were designed and implemented

Geochemistry And Petrogenesis Of Some Granitoids In The Grenville Province Of Ontario And Their Tectonic Implications

Eight granitic bodies from the Grenville Province of Ontario have been petrographically and geochemically studied. It is believed that these granitoids were associated with the Grenville Orogeny and have recorded a history of about 300 million years of magmatism in this region.;Mineralogically, except for the riebeckite-bearing hypersolvus granite of the Deloro Pluton, hornblende and biotite are major mafic minerals for the other subsolvus granitoids. Although chemical compositions are varied from one pluton to the other, the Grenville granitoids are characterized, in general, by high agpaitic indices and oxidation ratios.;Except that the Union Lake quartz diorite is consistently I-type granite and the Barber\u27s Lake peraluminous granite is close to S-type granite, the remaining sampled granitoids fall within both I- and S-type categories. However, the peralkaline Deloro Pluton is an A-type analogue. It is reasonable to believe that the source rocks, P-T conditioned and geological settings of the Grenville granitoids differ from those granites of the Lachlan Mobile Belt of eastern Australia. REE modelling suggests most Grenville granitoids were from a deep source, either lower crust (granulite) or upper mantle (quartz elcogite). This is consistent with their lower strontium initial ratios and high K/Rb.;The close chemical resemblance with the Younger Granite of Nigeria from an extensional environment may imply the existence of a long term extensional regime during the development of the Grenville plutonism. This hypothesis agrees with the Grenville evolution model of opening and closure of the Bancroft - Renfrew aulacogen; the Grenville granitic terrain may thus be interpreted as products of Proterozoic extension - contraction cycles

Modeling the pulse signal by wave-shape function and analyzing by synchrosqueezing transform

We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory physiological signals. To demonstrate how the model and algorithm work, we apply them to study the pulse wave signal. By extracting features called the spectral pulse signature, {and} based on functional regression, we characterize the hemodynamics from the radial pulse wave signals recorded by the sphygmomanometer. Analysis results suggest the potential of the proposed signal processing approach to extract health-related hemodynamics features

Phenotype-based and Self-learning Inter-individual Sleep Apnea Screening with a Level IV Monitoring System

Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes, and test it on a Level IV monitoring system. Methods: Based on the physiological knowledge, we hypothesize that the phenotype information will allow us to find subjects from a well-annotated database that share similar sleep apnea patterns. Therefore, for a new-arriving subject, we can establish a prediction model from the existing database that is adaptive to the subject. We test the proposed algorithm on a database consisting of 62 subjects with the signals recorded from a Level IV wearable device measuring the thoracic and abdominal movements and the SpO2. Results: With the leave-one cross validation, the accuracy of the proposed algorithm to screen subjects with an apnea-hypopnea index greater or equal to 15 is 93.6%, the positive likelihood ratio is 6.8, and the negative likelihood ratio is 0.03. Conclusion: The results confirm the hypothesis and show that the proposed algorithm has great potential to screen patients with SAS

Dependent k-Set Packing on Polynomoids

Specialized hereditary systems, e.g., matroids, are known to have many applications in algorithm design. We define a new notion called d-polynomoid as a hereditary system (E, ? ? 2^E) so that every two maximal sets in ? have less than d elements in common. We study the problem that, given a d-polynomoid (E, ?), asks if the ground set E contains ? disjoint k-subsets that are not in ?, and obtain a complexity trichotomy result for all pairs of k ? 1 and d ? 0. Our algorithmic result yields a sufficient and necessary condition that decides whether each hypergraph in some classes of r-uniform hypergraphs has a perfect matching, which has a number of algorithmic applications

Simulation of the two-dimensional Potts model using nonextensive statistics

The standard Potts model is investigated in the framework of nonextensive statistical mechanics. We performed Monte Carlo simulations on two-dimensional lattices with linear sizes ranging from 16 to 64 using the Metropolis algorithm, where the classical Boltzmann-Gibbs transition probabilities were modified for the nonextensive case. We found that the Potts model undergoes a phase transition in the nonextensive scenario. We established the order of the phase transition and we computed the critical temperature for different values of the Tsallis entropic index.Comment: 5 pages, 8 figures, REVTe