A novel sensor using a polymer coated long-period grating (LPG) has been proposed for monitoring levels of organic contaminants in air or water systems. The sensor operates by detecting refractive index changes in the polymer coating as analytes partition in. Polymer coatings used must be able to reversibly and reproducibly absorb contaminants of interest from the sample and have a refractive index just below that of the fiber cladding. The synthesis and characterization of several chemically selective polysiloxanes is described. Pre-polymer materials are made through the catalyzed condensation of silane monomers. Different functional groups are incorporated either through polymerizing functionalized monomers, or by post-functionalizing the polymer through a platinum-catalyzed hydrosilylation reaction. The pre-polymer materials are crosslinked into elastomeric films using titanium(IV) tetraisopropoxide. The polymer refractive index is controlled through altering the ratios of functional groups within the polymer or changing the loading levels of titanium. Four polymers were made, having different functional groups and optimized refractive indices for use on the proposed sensor. The partition coefficients for the polymers with a variety of solvents are calculated and compared. Each polymer was found to have a slightly different chemical selectivity pattern, demonstrating that a set of polymers could be used to generate a sensor array. Partition coefficient data was calculated from the gas phase by considering the change in polymer refractive index as the solvents partitioned into the polymer. The Lorentz-Lorenz equation was used to model the relationship between the change in refractive index and the solvent concentration within the polymer. Finally, polymers were applied to LPGs and used to successfully detect various solvents from the gas phase. This was accomplished by monitoring the entire LPG spectrum, and also by considering loss at a single wavelength using fiber-loop ring-down spectroscopy. / Thesis (Ph.D, Chemistry) -- Queen's University, 2008-09-26 15:28:35.603

Freehand 3-D ultrasound (US) using a 2-D US probe has the advantage over conventional 3-D probes of being able to collect arbitrary 3-D volumes at a lower cost. Traditionally, generating a volume requires external tracking to record the US probe position. An alternative means of tracking the US probe position is through speckle tracking. Ultrasound imaging has the advantage that the speckle inherent in all images contains relative position information due to the decorrelation of speckle over distance. However, tracking the position of US images using speckle information alone suffers from drifts caused by tissue inconsistencies and overall lack of accuracy. This thesis presents two novel methods of improving the accuracy of speckle-tracked 3-D US through the use of sensor fusion. The first method fuses the speckle-tracked US positions with those measured by an electromagnetic (EM) tracker. Measurements are combined using an unscented Kalman filter (UKF). The fusion is able to reduce drift errors as well as to eliminate high-frequency jitter noise from the EM tracker positions. Such fusion produces a smooth and accurate 3-D reconstruction superior to those using the EM tracker alone. The second method involves the registration of speckle-tracked 3-D US volumes to preoperative CT volumes. We regard registration combined with speckle tracking as a form of sensor fusion. In this case, speckle tracking is used in the registration to generate an initial position for each US image. To improve the accuracy of the US-to-CT registration, the US volume is registered to the CT volume by creating individual US "sub-volumes", each consisting of a small section of the entire US volume. The registration proceeds from the beginning of the US volume to the end, registering every sub-volume. The work is validated through spine phantoms created from clinical patient CT data as well as an animal study using a lamb cadaver. Using this technique, we are able to successfully register a speckle-tracked US volume to a CT volume with excellent accuracy. As a by-product of accurate registration, any drift from the speckle tracking is eliminated and the freehand 3-D US volume is improved. / Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2009-10-19 00:10:25.717

No description available.

Routing plays an important role in energy constrained Wireless Sensor Networks (WSNs). To conserve energy in WSN, energy-efficiency of the routing protocol is an important design consideration. These protocols should maximize network lifetime and minimize energy consumption. In this thesis, a novel multipath routing protocol is proposed for WSNs, which constructs multiple paths based on residual energy of the nodes. The protocol allows the source node to select a path for data transmission from the set of discovered multiple paths based on cumulative residual energy or variance. Choosing a next-hop node based on energy, and using an alternative path for routing achieves load balancing. The results show that the proposed algorithm M-VAR has lower residual energy variance (96%, 90%, 72%, 12% less) and longer network lifetime (404%, 205%, 115%, 10%) than basic Directed Diffusion, load-balanced Directed Diffusion (LBDD-ED-RD), multipath Directed Diffusion (MDD-CRE), and the proposed algorithm M-CRE, respectively.

A microfluidic-based inductance sensor operating at 1.5 GHz is presented that can detect single 4.5 μm superparamagnetic particles flowing in a microfluidic channel. The particles are detected as they pass over a micron-sized planar gold loop electrode, with a maximum signal-to-noise ratio of 26.3 dB for an 80 μm/s flow rate; the magnetic beads are simultaneously observed with microscope images. The sensor consists of a coupled-line resonator and microwave interferometric system coupled to the loop electrode that is integrated within a polydimethylsiloxane-on-glass microfluidic chip assembly. A time-averaged inductance change caused by a single particle is related to the real part of its magnetic Clausius-Mossotti factor. The effective real part of the magnetic permeability for a particular particle is estimated to be 1.13 at 1.5 GHz. The sensor detects magnetic particles in flow and does not require an external biasing magnetic field, which distinguishes it from other magnetic microparticle sensors.

The measurement of vital signs is a risk-free, inexpensive, and reproducible clinical practice that enables identification of physiological deterioration of patients before an adverse event occurs. However, studies show that manual clinical measurements of respiratory rate are intermittent, biased, and inaccurate. Therefore, a contactless planar capacitive sensor was developed and evaluated against a clinical reference method. Results show that the sensor is accurate (i.e. strong agreement with an average ICC value of 0.99 and an average BSI coefficient of 2.76 < 4 breaths/min clinical threshold) and unbiased (i.e. average mean difference of -0.02 breaths/min). The sensor has promise for respiratory rate monitoring of bedridden patients even during shallow breathing. Future work includes addressing technology limitations, conducting a clinical pilot with a diverse patient population, and exploring potential in sleep quality assessment.

The measurement of vital signs is a risk-free, inexpensive, and reproducible clinical practice that enables identification of physiological deterioration of patients before an adverse event occurs. However, studies show that manual clinical measurements of respiratory rate are intermittent, biased, and inaccurate. Therefore, a contactless planar capacitive sensor was developed and evaluated against a clinical reference method. Results show that the sensor is accurate (i.e. strong agreement with an average ICC value of 0.99 and an average BSI coefficient of 2.76 < 4 breaths/min clinical threshold) and unbiased (i.e. average mean difference of -0.02 breaths/min). The sensor has promise for respiratory rate monitoring of bedridden patients even during shallow breathing. Future work includes addressing technology limitations, conducting a clinical pilot with a diverse patient population, and exploring potential in sleep quality assessment.

As a nation that depends so heavily on its infrastructure, the United Statescontinually seeks to better maintain the investment that it has made in its roadways.Asphalt pavements make up the majority of the paved roadways in the United States andultimately contribute to the bulk of the expense of highway maintenance. The goal ofthis research was to develop a means for taking a simple measurement of pressure atvarious interfaces on and within an asphalt pavement structure in an effort to directlyassess the damaging effects of different wheel loadings. It is well known that everincreasing wheel loads and other unusual wheel loading conditions are detrimental to theeffort of maintaining the roadways. The results of the data can be compared to the classicempiricalistic and mechanistic approaches to asphalt pavement design and analysis, aswell as the more modern finite-element computer modeling programs. The Tekscanmeasurement system, which utilizes a very thin matrix based pressure sensitive sensor,has been deemed applicable for measuring pavement pressures. Various types of wheelloadings have been considered throughout this study. It was determined that the type oftire, tire inflation pressure, applied load, and the asphalt itself all have an effect on theresultant pressures on the surface of and within an asphalt pavement structure. Thisresearch may contribute to the understanding of pressure distributions at the tire/asphaltinterface depending on the type of tire, adjustments in tire inflation pressure, and varyingthe wheel load. The results may lead to a better understanding of pressure distributions atvarying depths within an asphalt pavement structure. The ability to quantify thesevariables could assist designers when analyzing and designing asphalt pavements.

Recent advancement in wireless communications and electronics has enabled the development of sensor networks. With development in technology, wireless sensor network is used more and more in our daily life, because the technology is more flexible and cheaper than the wired sensor network. The objective of this study has been to solve the problem that how closely a group of mobile wireless nodes are clustered. Matlab is used to simulate the various situations of nodes. There are two major parts in this software design. One is the function of detecting the movement of the mouse. Another is the function of estimating the connectivity of the nodes. Some methods will be proposed and evaluated through some realistic scenarios.

No description available.