The experimental work undertook in this thesis looks to integrate technologies developed by the graphene and plasmonics communities, respectively, for the purpose of producing devices of enhanced qualities to those of similar utility that have previously been produced. Furthermore, where possible, we look to offer disruptive innovation, by utilising coupled properties that may offer unique possibilities for applications. A hybrid graphene-plasmonic waveguide modulator is fabricated and shown to operate successfully at a standard telecommunications frequency. Different plasmonic-waveguide designs — the basis for the modulator — were produced to probe the coupling between graphene and the surface plasmon-polariton modes. A mode excitable at the edge of the waveguide was found to offer the best modulation, with a modulation depth of over 0.03 dB μm^−1, induced by a moderate gating voltage of about 10 V. Topologically-protected darkness (zero reflection) was produced by particular engineering of a plasmonic metamaterial. This allowed generation of a singularity in the ellipsometric phase (a particular parameter of light), allowing for measurements of mass sensitivity of ∼10 fg mm^−2, with the possibility of improving this to ∼100 ag mm^−2. Graphene was employed in a novel metrology tool to measure the sensitivity of this device. With respect to fundamental losses in plasmonics, one could find either a new plasmonic material or look to improve an existing one. Work was undertook with respect to this latter option by attempting to preserve the otherwise excellent plasmonic properties of copper and silver through a protective barrier of graphene. This was achieved and illustrated through ellipsometric measurements taken over various timescales. Fabrication of a dielectric loaded waveguide on graphene-protected copper was then carried out, with operation of the waveguide proving successful, possibly opening the field of active graphene-protected metal plasmonics.

This work optimizes a CMOS image pixel sensor circuit for being used in a compressive sensing (CS) image sensor. The CS image sensor sums neighbor pixel outputs and hence reduces analog to digital conversions. Efforts are also made to improve the circuit that performs such pixel summation. With the optimized design, a CMOS image sensor circuit with a compression ratio of 4 is designed using a 130 nm CMOS technology from Global foundries. The design pixel sensor has a 256X256 pixel array. Simulation shows that the developed image sensors can achieve peak signal to noise ratio (PSNR) of 28 dB and 37.8 dB for benchmark images Cameraman and Lenna, respectively.

Intra-articular corticosteroid knee injections (ICIs) were used as a tool to determine the sensitivity of wearable inertial sensors and machine learning algorithms in identifying meaningful changes in gait patterns amidst day-to-day fluctuations in out-of-laboratory gait. Specifically, three overarching aims were proposed; I) Determine if three gait trials could define an everyday typical gait pattern, II) investigate if post-injection atypical strides are significantly different from pre-injection atypical strides and III) explore the relationship between changes in pain and atypical strides. Nine knee OA patients (7M/2F) were recruited from St. Joseph’s Healthcare Hamilton. Participants completed a total of four walking trials prior to the ICI and three following. Participants were fitted with two wearable sensors on each shank just below the knee, and one sensor on the lower back during every trial. Data from these sensors were processed to train and test a one-class support vector machine (OCSVM). Individual gait models were created based on three out of the four pre-injection trials. Each trained model was tested on a withheld pre-injection trial and three post-injection trials to determine the number of typical and atypical gait cycles. Self-reported pain was analyzed throughout the study and compared to the percent of atypical strides seen during each walk. It was found that three gait trials could not define a typical gait model and that post-injection atypical strides were not significantly different from with-held pre-injection atypical strides. Finally, large variations and fluctuations in self-reported pain were observed on a week-to-week basis, which were not significantly correlated to atypical strides observed. This study was the first to investigate the sensitivity of wearable inertial sensors and machine learning algorithms to detect changes in real-world gait patterns and provides foundational work for using wearable sensors to monitor and triage knee OA patients. / Thesis / Master of Science (MSc)

Measurement of the total conditions downstream of fans is of primary importance to aeroengine development. Historically, these measurements have been acquired with the use of traditional total condition probes mounted to the guidevanes or engine cowling; however, such a setup can have significant impact on the flow. Difficulties in obtaining direct measurements with traditional total conditions probes have led to the development of an embedded shielded probe. In order to support this development, a model was desired to be developed that accurately modelled the recovery using a low-order analysis that could be implemented quickly. The creation and validation of such a model is the primary focus of the present research. Of secondary interest is to prove the hypothesis that aerodynamics will dominate the recovery of such a sensor. Based around the calculations for recovery used by Moffat, the model uses a linear vortex panel method to calculate the aerodynamics of the sensor. Higher order corrections were also suggested to improve the accuracy of the model. Several of these corrections, which take into account compressibility and variance of individual recovery factors, were included in the final model. Other corrections, such as improved paneling for the panel method and the inclusion of pitch angle have not been incorporated at this time but are part of an ongoing effort to improve and expand the capabilities of the model. Model validation was performed in three steps, starting with comparing the calculations for the recovery without aerodynamics to values present in literature for traditional Shielded probes. The aerodynamics and the panel method used to generate them were validated separately using the widely available program Xfoil. Validation of the combined model could only be accomplished via experimental testing. Several sensors, based on the predictions of the model, were 3D printed for use in experimental testing. Three key geometric parameters were identified and varied within the limits of interest to create the set of sensors tested. The purpose of this was two-fold. One: validate the model or identify key missing aerodynamic effects for inclusion. Two: prove the secondary hypothesis that aerodynamics will dominate the recovery. Testing was performed at a range of Mach numbers, yaw angles, and pitch angles commonly present in aeroengines. The data collected for model validation were simultaneously used to prove the hypothesis that aerodynamic effects dominated the recovery. This hypothesis was concluded to be true for the range of parameters tested. The model was determined to be valid for the range of parameters tested, although with the caveat that not all aerodynamic effects are fully accounted for and physical testing or CFD analysis is advised to verify results once design parameters have been narrowed down sufficiently. Further refinement of the experimental data and investigation of the aerodynamic effects are the subject of further study. / Master of Science

The semiconductor industry was benefited by the advances in technology in the last decades. This fact has an impact on the sensors field, where the simple transducer was evolved into smart miniaturized multi-functional microsystems. However, commercially available gas and biological sensors are mostly bulky, expensive, and power-hungry, which act as obstacles to mass use. The aim of this work is gas and biological sensing using capacitive structures. Capacitive sensors were selected due to its design simplicity, low fabrication cost, and no DC power consumption. In the first part, the dominant structure among interdigitated electrodes (IDEs), fractal curves (Peano and Hilbert) and Archimedean spiral was investigated from capacitance density perspective. The investigation consists of geometrical formula calculations, COMSOL Multiphysics simulations and cleanroom fabrication of the capacitors on a silicon substrate. Moreover, low-cost fabrication on flexible plastic PET substrate was conducted outside cleanroom with rapid prototyping using a maskless laser etching. The second part contains the humidity, Volatile Organic compounds (VOCs) and Ammonia sensing of polymers, Polyimide and Nafion, and metal-organic framework (MOF), Cu(bdc)2.xH2O using IDEs and tested in an automated gas setup for experiment control and data extraction. The last part includes the biological sensing of C - reactive protein (CRP) quantification, which is considered as a biomarker of being prone to cardiac diseases and Bovine serum albumin (BSA) protein quantification, which is used as a reference for quantifying unknown proteins.

A novel optical diffraction based technique is proposed and demonstrated to measure deflections of the order of ~1nm in microcantilevers (MC) designed for sensing ultra-small forces of stress. The proposed method employs a double MC structure where one of the cantilevers acts as the active sensor beam, while the other as a reference. The active beam can respond to any minute change of stress, for example, molecular recognition induced surface stress, through bending (~1nm) relative to the other fixed beam. Optical diffraction patterns obtained from this double slit aperture mask with varying slit width, which is for the bending of MC due to loading, carries the deflection profile of the active beam. A significant part of the present work explores the possibility of connecting diffraction minima (or maxima) to the bending profile of the MC structure and thus the possibility to measure induced surface stress. To start with, it is also the aim to develop double MC sensors using PHDDA (Poly – Hexane diol diacrylate) because this material has the potential to achieve high mechanical deformation sensitivity in even moderately scaled down structures by virtue of its very low Young’s modulus. Moreover, the high thermal stability of PHDDA also ensures low thermally induced noise floors in microcantilever sensors. To demonstrate the proposed optical diffraction-based profiling technique, a bent microcantilever structure is designed and fabricated by an in-house developed Microstereolithography (MSL) system where, essentially one of the microcantilevers is fabricated with a bent profile by varying the gap between the two structures at each cured 2D patterned layer. The diffraction pattern obtained on transilluminating the fabricated structure by a spherical wavefront is analyzed and the possibility of obtaining the deflections at each cross section is ascertained. Since the proposed profiling technique relies on the accurate detection and measurement of shifts of intensity minima on the image plane, analysis of the minimum detectable shift in intensity minima for the employed optical interrogation setup with respect to the minimum detectable contrast and SNR of the optical measurement system is carried out, in order to justify the applicability of the proposed minima intensity shift measurement technique. The proposed novel diffraction based profiling technique can provide vital clue on the origins of surface stress at the atomic and molecular level by virtue of the entire bent profile due to adsorption induced bending thereby establishing microcantilever sensor technology as a more reliable and competitive approach for sensing ultra-low concentrations of biological and chemical agents.

Os polímeros conjugados, principalmente da classe dos politiofenos, despontaram como materiais alternativos para a obtenção de camadas quimicamente seletivas em sensores de gases. Dentre as principais vantagens desses materiais estão a possibilidade de obtenção de dispositivos sensores que operem à temperatura ambiente e a diversidade de materiais. Assim, por exemplo, com uma simples modificação da cadeia lateral do politiofeno pode-se obter materiais com diferentes afinidades químicas, o que pode contribuir para a melhora da seletividade desses dispositivos. A seletividade e a sensibilidade são as maiores limitações práticas dos sensores de gases que utilizam os polímeros conjugados como camadas sensoras. Neste trabalho, diferentes derivados do politiofeno foram sintetizados via polimerização oxidativa com cloreto férrico e caracterizados químico-estruturalmente por FTIR, RMN 1H, HPSEC e análise térmica (TG). Filmes desses polímeros foram obtidos pelas técnicas spin-coating e casting, sendo que a escolha da técnica de preparo foi baseada na solubilidade desses polímeros em clorofórmio. Foi demonstrado que as características superficiais e as propriedades de absorção no Uv-vis e de emissão dos filmes desses politiofenos são influenciadas pelos tipos de cadeias laterais presentes nesses polímeros. Esses filmes foram também utilizados no estudo das suas propriedades sensoras óticas e elétricas para a detecção de VOCs e umidade, sendo demonstrado que os sensores óticos são menos sensíveis aos analitos propostos do que os sensores elétricos, apresentando valores de sensibilidades no intervalo de 10-7 a 10-5 ppm-1, respectivamente, com algumas exceções. As respostas de ambos os tipos de sensores contendo PHT foram qualitativamente e quantitativamente reprodutíveis, entretanto, as características de reprodutibilidade dos sensores elétricos de PHT apresentaram grande influência das condições elétricas iniciais de seus filmes. Diferentes padrões de detecção foram apresentados para as detecções óticas e elétricas de um determinado polímero, demonstrando que estes polímeros são bons candidatos para serem utilizados como camadas ativas em dispositivos de detecção de VOCs (compostos orgânicos voláteis). / The conjugated polymers, especially polythiophenes, have emerged as alternative materials to obtain chemically selective layers in gas sensors. The main advantages of these materials are the possibility of obtaining sensing devices that operate at room temperature and the diversity of materials. For example, a simple modification of the side chain of polythiophene can provide materials with different chemical affinities, which can contribute to the improvement of the selectivity of these devices. The selectivity and sensitivity are the main practical limitations of the gas sensors containing conjugated polymers as sensing layers. In this study, different polythiophene derivatives have been synthesized by oxidative polymerization with ferric chloride and characterized by FTIR, 1H NMR, HPSEC and thermal analysis (TG). Films of these polymers have been obtained by spin-coating techniques and casting, depending on their solubility in chloroform. It has been shown that the surface characteristics and the properties of absorption in the UV-vis and the emission of the films of these polythiophene derivatives are dependent on the type of side chain attached to the thiophene ring. These films have been used in the study of their optical and electrical sensing properties of VOCs and humidity, and it has been demonstrated that optical sensors are less sensitive to these analytes than the electrical ones. Their fractional sensitivities are 10-7 and 10-5 ppm-1, respectively, with some exceptions. The responses of such sensors have been qualitatively and quantitatively reproducible, however, the responses of electrical sensors showed influence of the initial electrical characteristics of the films. Different detections patterns were showed for optical and electrical detections of a particular polymer, showing that these polymers are good candidates to be used as active layers in sensing devices to detect VOCs.

Os polímeros conjugados, principalmente da classe dos politiofenos, despontaram como materiais alternativos para a obtenção de camadas quimicamente seletivas em sensores de gases. Dentre as principais vantagens desses materiais estão a possibilidade de obtenção de dispositivos sensores que operem à temperatura ambiente e a diversidade de materiais. Assim, por exemplo, com uma simples modificação da cadeia lateral do politiofeno pode-se obter materiais com diferentes afinidades químicas, o que pode contribuir para a melhora da seletividade desses dispositivos. A seletividade e a sensibilidade são as maiores limitações práticas dos sensores de gases que utilizam os polímeros conjugados como camadas sensoras. Neste trabalho, diferentes derivados do politiofeno foram sintetizados via polimerização oxidativa com cloreto férrico e caracterizados químico-estruturalmente por FTIR, RMN 1H, HPSEC e análise térmica (TG). Filmes desses polímeros foram obtidos pelas técnicas spin-coating e casting, sendo que a escolha da técnica de preparo foi baseada na solubilidade desses polímeros em clorofórmio. Foi demonstrado que as características superficiais e as propriedades de absorção no Uv-vis e de emissão dos filmes desses politiofenos são influenciadas pelos tipos de cadeias laterais presentes nesses polímeros. Esses filmes foram também utilizados no estudo das suas propriedades sensoras óticas e elétricas para a detecção de VOCs e umidade, sendo demonstrado que os sensores óticos são menos sensíveis aos analitos propostos do que os sensores elétricos, apresentando valores de sensibilidades no intervalo de 10-7 a 10-5 ppm-1, respectivamente, com algumas exceções. As respostas de ambos os tipos de sensores contendo PHT foram qualitativamente e quantitativamente reprodutíveis, entretanto, as características de reprodutibilidade dos sensores elétricos de PHT apresentaram grande influência das condições elétricas iniciais de seus filmes. Diferentes padrões de detecção foram apresentados para as detecções óticas e elétricas de um determinado polímero, demonstrando que estes polímeros são bons candidatos para serem utilizados como camadas ativas em dispositivos de detecção de VOCs (compostos orgânicos voláteis). / The conjugated polymers, especially polythiophenes, have emerged as alternative materials to obtain chemically selective layers in gas sensors. The main advantages of these materials are the possibility of obtaining sensing devices that operate at room temperature and the diversity of materials. For example, a simple modification of the side chain of polythiophene can provide materials with different chemical affinities, which can contribute to the improvement of the selectivity of these devices. The selectivity and sensitivity are the main practical limitations of the gas sensors containing conjugated polymers as sensing layers. In this study, different polythiophene derivatives have been synthesized by oxidative polymerization with ferric chloride and characterized by FTIR, 1H NMR, HPSEC and thermal analysis (TG). Films of these polymers have been obtained by spin-coating techniques and casting, depending on their solubility in chloroform. It has been shown that the surface characteristics and the properties of absorption in the UV-vis and the emission of the films of these polythiophene derivatives are dependent on the type of side chain attached to the thiophene ring. These films have been used in the study of their optical and electrical sensing properties of VOCs and humidity, and it has been demonstrated that optical sensors are less sensitive to these analytes than the electrical ones. Their fractional sensitivities are 10-7 and 10-5 ppm-1, respectively, with some exceptions. The responses of such sensors have been qualitatively and quantitatively reproducible, however, the responses of electrical sensors showed influence of the initial electrical characteristics of the films. Different detections patterns were showed for optical and electrical detections of a particular polymer, showing that these polymers are good candidates to be used as active layers in sensing devices to detect VOCs.

Eddy current (EC) based testing and measurement methods are well known in non-destructive testing (NDT) world. EC sensors are extensively studied and used for material health monitoring and its property measurement. Target displacement measurement is one of the well-known applications of EC method. The main advantage of EC sensor is its working capability in harsh environment like humidity, contamination etc. It is non-contact, rugged and requires less maintenance. The range and sensitivity of target displacement is mainly determined by the probe geometry and its construction method. Also displacement measurement depends upon geometry and electromagnetic (EM) properties of the target plate. Any variation of ambient temperature alters the EM properties of the probe as well as EM properties of the target. Thus, many parameters like geometry, EM properties and temperature involved in target displacement measurement. Hence, while using EC sensor for displacement measurement, it demands careful design and measurement procedure to achieve high sensitivity and high precision with low temperature drift. To achieve these, we present the following. 1) A temperature compensation technique 2) Optimization of probe geometry and its construction method to increase the range and sensitivity 3) Selection of suitable probe measurement parameter (Z, R, X) based on target material properties 4) Making the displacement measurement less sensitive to tolerance in probe construction parameter. A temperature compensation technique for target displacement measurement, using a self-running LC oscillator has been presented. A sensing coil is energized by a Hartley oscillator. The oscillator voltage is maintained at a constant level by a closed loop feedback circuit and the average feedback current to the oscillator is measured for target displacement detection. The temperature drift of the feedback current is compensated by applying temperature compensation function (TCF) and this is verified experimentally. Cold rolled mild steel (carbon steel) is taken as a target material and the sensor is tested over a temperature range of 20 °C – 80 °C. It shows that the temperature drift is less than ±30 ppm/°C over 3 mm target displacement. To match all the sensor modules in mass production, components selection procedure is presented. To avoid mismatch across sensors in manufacturing process, the transistor based oscillator is modified with operational trans-conductance amplifier (OTA). The same temperature compensation formula (TCF) is applied to compensate the temperature drift of feedback current and achieved intended accuracy. Geometry and construction parameters of the eddy current sensing probe is optimized for target displacement measurement using Ansoft Maxwell, electromagnetic design software. EC probe with different geometry are analyzed in search of suitable geometry for target displacement measurement. Four shapes of commercially available core have been chosen for probe construction. For each shape of sensing probe, the radius and height of the probe is increased by 0 mm to 9 mm to find the effect of them on sensitivity and range of target displacement measurement. It has been observed that the probe with less height and maximum diameter has shown better performance. In addition to that, the probe geometry is optimized to achieve more sensitivity and range within the space available for probe mounting. It helps to utilize the available space effectively for probe design. Coil winding and mount-ing it inside the core window also important parameter in probe design. It has been observed that de-pressing the sensing coil inside the core window from sensing face by 3 mm decreases the sensitivity by 40 %. Hence, it is recommended to place the coil on the extreme end of the sensing face of the core. To know the effect of core permeability, it is varied from 1000 to 15000. It has been observed that it has no effect on sensitivity and measurement range. Only optimizing the probe geometry and its construction method is not adequate for target displacement measurement. We know that the EC based displacement measurement is also target material dependent. Generally probe impedance is measured and then the temperature drift of the sensing coil resistance is compensated to know the target displacement. Most of the temperature compensation techniques use this compensation technique and it is shown that those are suitable for high conductivity targets like copper. Choosing Z for displacement measurement may not be only best choice for all target materials. The displacement can be measured also through either R or X of the probe. Choosing the proper probe parameter for a given target material will provide a less temperature drift for target displacement measurement. To know about this, a simulation has been made for target displacement measurement with target metal of μr = 1, relative permittivity εr =1, and temperature coefficient of resistivity ∝ = 0.004 K-1. The conductivity (σ) of the target is varied from 1×106 S/m to 62×106 S/m in the temperature range of 20 ℃ – 80 ℃. Now the simulation has been repeated by fixing  as a constant and varying target μr. The metal plate with  = 1×106 S/m, εr=1 and ∝ = 0.004 K – 1 is taken as a target and μr is varied from 100 to 10000. For both conductivity and permeability sweep analysis, the target displacement is measured as a function of Z, R and X independently. The temperature drift in displacement measurement is also analysed for the above temperature range. An experiment has been conducted with copper, stainless steel and mild steel as target metal in the temperature range of 20 ℃ – 80 ℃. The temperature drift is calculated when the displacement is measured as function of Z, R and X. Based on the results, we have identified that the target material relative permeability determines the selection of probe measurement parameter for target displacement measurement. Hence, knowing tar-get r alone suffice to select the probe measurement parameter (Z or R or X) for displacement measurement. Optimizing the probe geometry, selecting the proper probe measurement parameter and temperature compensation technique suffice to provide a good sensitivity, range and low temperature drift for a single probe. But in general, one of the mass produced probes is selected as a reference probe and it is calibrated against the ambient temperature and target displacement. And the calibration curves are loaded to all the probes. Matching the probe construction parameters to each other across the production patches is not possible in mass production. This makes the temperature compensation function and displacement calibration are different for every individual probes for displacement measurement. This degrades the measurement accuracy. A simulation has been performed with pot core with commercial tolerance. Using this, we have obtained 24 probes due to variations in 1) Individual and few combinational variations in core and coil dimensions 2) Core permeability variation and 3) relative position of the coil with respect to core. Finally, we have quantified the displacement error for each probe. We have identified the important probe dimensional parameters that have to be controlled precisely in mass production to improve the measurement accuracy. It shows error of 0.86 % in the displacement measurement when the relative reactance and relative displacement is used for measurement. In practice, error in displacement measurement due to both the ambient temperature drift and the tolerance in probe construction parameter exist simultaneously. Hence, the combined error is computed for the target displacement range of 0 mm – 3 mm for the temperature range of 0 °C – 100 °C. The total error of less than 1 % is achieved for commercial standard probe tolerance. Finally, we have provided general factory production procedure and user calibration procedure of probe design to achieve cost effective displacement measurement with sensitivity and range with low temperature drift.

This thesis discusses the application of Slab Coupled Optical Fiber Sensors (SCOS) in a railgun. The specific goal of these sensors is to create an electric field profile at a specific point in the gun as the armature passes. The thesis explores the theory that powers the railgun as well as the principles of the SCOS sensors. It also elaborates on the various noise sources found throughout the detection system and concludes with a summary of the various field tests that were performed throughout this project. There are many benefits to using a railgun over traditional weapons in the field. These benefits not only include both safety and cost, but also greater overall defense capabilities. Unfortunately, the velocity skin effect (VSE) causes the current railgun designs to have limited life span through wear on the rails. In order to develop superior railguns and railgun armatures, the accurate detection of the VSE through measuring the electric field is of great interest. We used a SCOS, a small directionally precise dielectric sensor, as a small sensing area is required to be able to measure the electric fields inside of the rail gun. The actual usage of the SCOS within the railgun produced an additional set of problems that are not commonly encountered in the lab. The chief amongst these was noise from strain, RF pickup, and phase noise. This thesis also reports various methods used to reduce each of these noise sources.