Preignition is an ignition event that happens before it is expected to happen and, many times, where it is not expected to happen. Understanding this phenomenon is of great importance as it influences the design and operation of modern downsized boosted internal combustion engines. To gain a fundamental understanding of preignition, homogeneous reactors like shock tubes and rapid compression machines may be used to decipher the influence of fuel chemical structure, temperature, pressure, equivalence ratio and bath gas on preignition. In this thesis, a comprehensive study of the preignition tendency of various chemical systems is presented. Firstly, renewable fuels like ethanol, methanol and a surrogate of conventional fuels, n-hexane, are characterized by traditional shock tube techniques, such as the measurements of ignition delay times and pressure-time histories, to identify thermodynamic conditions which promote non-ideal ignition behavior. Preignition pressure rise and the expedition of measured ignition delay times are identified as the indicators of non-homogeneous combustion. It is shown that preignition effects are more likely to be observed in mixtures containing higher fuel concentration and that preignition energy release is more pronounced at lower temperatures. High-speed imaging was implemented to visualize the combustion process taking place inside the shock tube. End-wall imaging showed that low-temperature ignition may be initiated from an individual hot spot that grows gradually, while high-temperatures ignition starts from many spots simultaneously which consume the reactive mixture almost homogeneously. Simultaneous lateral and endwall imaging was implemented in both low- and high-pressure shock tube facilities. All tested fuels exhibited localized ignition at low temperatures, and methanol showed a higher propensity than ethanol to ignite far from the endwall. Imaging experiments were also performed in a rapid compression machine to understand preignition at lower temperatures. Herein, ethanol showed non-homogeneous ignition while iso-octane and diethyl ether exhibited homogeneous ignition at the low-temperature conditions. Various criteria for the onset of preignition were tested against experimental observations to propose an adequate predictor of non-ideal ignition phenomena in practical applications. A non-dimensional number, relating the ignition delay sensitivity and laminar flame speed of the mixtures, was found to be the best criterion to elucidate ignition regimes.

Gasoline and gasoline-like fuels (naphtha) have high volatility, which results in flash boiling spray in gasoline engines when operated at throttling or low load conditions. Flash boiling can achieve better atomization, thus benefit fuel evaporation and fuel-air mixing. However, when flash boiling occurs, spray morphology, and fuel distribution are dramatically varied from the injectors' intentional design. This difference will affect the performance of combustion and emissions. Thus it is essential to investigate the spray collapse phenomenon regarding varied conditions. The currently developing gasoline compression ignition (GCI) engines, also has throttled stoichiometric spark ignition operation mode, which inevitably has flash boiling possibility. However, there is a lack of research on flash boiling spray with a GCI injector, which has a large designed cone angle. This work aims to understand the spray collapse phenomenon and fill the gap in GCI flash boiling spray. Simultaneous side-view diffused back illumination (DBI) and front-view mie-scattering are used to capture the liquid spray development. Simultaneous shadowgraph from side and front view are used for recording the liquid+vapor phase spray development. Criteria for distinguishing different spray regimes have been established from these results. It shows this GCI injector is more resistant to collapse than the other conventional gasoline direct injection (GDI) injectors reported in the literature. A combination of DBI and space-time tomographic algorithm is validated in this work, achieving 3D reconstruction of the spray volume development from non-flashing to collapsed spray regime at low cost. The 3D results help elucidate the spray collapse procedure and provide validation data for CFD simulation. Structured laser illumination planar imaging (SLIPI) is firstly implemented in flash boiling spray study in this work to suppress the multiple scattering effect. Reconstructed 3D results from slice sweeping by SLIPI methods exposes the hollow structure in the spray's collapsed central jet, which has not been reported previously by other methods. Different spray motion types are summarized for the transitional and collapsed spray regime from the SLIPI slice and confirmed by the particle image velocimetry (PIV) technique.

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Indiana University-Purdue University Indianapolis (IUPUI) / Skeletal fractures due to bone disease impact an estimated 1.5 million Americans per year, creating a large economic burden on our society. Treatment of bone diseases prior to fracture often involves bisphosphonates (current gold-standard in osteoporosis care and prevention). Although bisphosphonates decrease fracture incidence, they often improve bone mass without regard for bone quality. Thus, although bisphosphonates increase the amount of bone present, the inherent bone material strength often decreases, creating a trade-off that increases the risk of atypical fractures after long-term use. This trade-off demonstrates the need for a treatment that targets both bone quality AND quantity. Although bone quality is important, the components of bone that contribute to bone quality are incompletely understood, making it difficult to create new pharmacological agents. With this in mind, my particular area of interest is in understanding how mechanical stimuli protects the formation of bone, leading to improved bone quality. Initially, this area was explored through use of tibial loading in a disease mouse model (osteolathyrism, induced by injection of beta-aminoproprionitrile) as a means of assessing how the body is able to compensate for decreased bone quality. The results of the BAPN and tibial loading studies indicated that injecting mice with BAPN may not be the ideal method to induce osteolathyrism. However, other intriguing results from the BAPN studies then led us into an exploration of how tibial loading itself contributes to bone quality.

Indiana University-Purdue University Indianapolis (IUPUI) / Raloxifene is an FDA-approved selective estrogen receptor modulator (SERM) that improves tissue quality by binding to collagen and increasing the bound water content in the bone matrix in a cell-independent manner. In this thesis, active tissue formation was induced by non-invasive external tibial loading in female mice and combined with raloxifene treatment to assess their combined effect on bone morphology and mechanical properties. Thermoregulation is an important factor that could have physiological consequences on research outcomes, and was introduced as an additional experimental factor in this study. We hypothesized that by removing the mild cold stress under which normal lab animals are housed, a metabolic boost would allow for further architectural and mechanical improvements as a result of the combination of tibial loading and raloxifene treatment. Ten week old female C57BL/6J mice were treated with raloxifene, underwent tibial loading to a strain level of 2050µε and were housed in thermoneutral conditions (32°C) for 6 weeks. We investigated bone morphology through microcomputed tomography (µCT) and mechanical properties via four-point bending and fracture toughness testing. Results indicated a combined improvement by external loading and raloxifene on geometry, particularly in the cancellous region of the bone, and also in bone mechanics leading to greater improvements than either treatment individually. Temperature did not have a robust impact on either bone architecture or mechanical integrity.

As the technology in the field of computer vision becomes more and more mature, the autonomous vehicles have achieved rapid developments in recent years. However, the object detection and classification tasks of autonomous vehicles which are based on cameras may face problems when the vehicle is driving at a relatively high speed. One is that the camera will collect blurred photos when driving at high speed which may affect the accuracy of deep neural networks. The other is that small objects far away from the vehicle are difficult to be recognized by networks. In this paper, we present a method to combine two kinds of GANs to solve these problems. We choose DeblurGAN as the base model to remove blur in images. SRGAN is another GAN we choose for solving small object detection problems. Due to the total time of these two are too long, we still do the model compression on it to make it lighter. Then we use the Yolov4 to do the object detection. Finally we do the evaluation of the whole model architecture and proposed a model version 2 based on DeblurGAN and ESPCN which is faster than previous one but the accuracy may be lower.

The objective of this study was to evaluate the effects of sex, loading rate, and age on the compressive and tensile material properties of human costal cartilage over a wide range of subject ages and sexes. Cylindrical compression samples and dog-bone shaped tension samples were tested to failure on a material testing system using target strain rates of 0.005 strain/s and 0.5 strain/s. Compression data were obtained from forty (n = 40) subjects (M = 26, F = 14) ranging in age from 11 – 69 years (Avg. = 39.1 ± 18.2 yrs.), and matched loading rate data were obtained for thirty-four (n = 34) samples. Tension data were obtained from forty-one (n = 41) subjects (M = 30, F = 11) ranging in age from 10 – 59 years (Avg. = 32.9 ± 14.9 yrs.), and matched loading rate data were obtained for seventeen (n = 17) samples. For both compression and tension, load and sample deflection data were collected and used to calculate stress and strain. For the compression data, the toe region was fit using a second-order polynomial, and the toe transition stress, toe transition strain, second-order polynomial coefficient A, and second-order polynomial coefficient B were calculated. In addition, the elastic modulus, ultimate stress, ultimate strain, and strain energy density (SED) were also calculated for each test. For the tension data, only the elastic modulus, ultimate stress, ultimate strain, and SED were calculated for each test. There were no effects of sex on the material properties for either method of loading or strain rate. Therefore, male and female data were combined for the age and loading rate analyses. For compression, toe transition stress, toe transition strain, A, elastic modulus, ultimate stress, and SED were all found to be significantly higher at 0.5 strain/s compared to 0.005 strain/s. For tension, no material properties were found to differ with respect to loading rate. Regarding the effects of age, toe transition stress, toe transition strain, A, B, ultimate stress, ultimate strain and SED were found to significantly decrease with advancing age for the 0.005 strain/s compression data. At 0.5 strain/s, toe transition stress, toe transition strain, elastic modulus, ultimate stress, ultimate strain, and SED all significantly decreased with advancing age. For tension, ultimate stress, ultimate strain, and SED were found to significantly decrease with advancing age at 0.005 strain/s and 0.5 strain/s. Comparing the two loading modes, the ultimate stress, elastic modulus, and SED were significantly higher in compression than in tension. For the compression samples, sample density and percent calcification were also obtained for each sample using physical measurements and micro-CT scans, respectively. However, since there were only a few samples with large calcifications, no meaningful trends were found. This is the first study of its kind to analyze the effects of sex, loading rate, and age on both the compressive and tensile material properties on human costal cartilage from such a wide range of subject ages. The results from this study can be used to develop more accurate finite element models of the human body, which will allow researchers to better evaluate human occupant response and injury risk in motor vehicle collisions for both young and old individuals. / Master of Science / Serious thorax injuries are often observed in motor vehicle collisions. Although a considerable amount of research has investigated the material and structural properties of rib cortical bone and whole rib sections, only a limited number of studies have focused on characterizing the material properties of costal cartilage, which comprises a substantial portion of the anterior region of the thorax. The studies that do exist include small subject pools and/or are limited to sub-failure indentation tests. Indentation tests are limited to low deflections and focal loading and are unable to obtain the failure material properties of costal cartilage. Therefore, the purpose of this study was to quantify the compressive and tensile material properties of human costal cartilage at two loading rates for a wide range of subject demographics. These properties were then evaluated with respect to sex, loading rate, and age. Cylindrical compression samples and dog-bone shaped tension samples were tested to failure on a material testing system at target strain rates of 0.005 strain/s and 0.5 strain/s. Compression data were obtained from forty (n = 40) subjects ranging in age from 11 – 69 years, and tension data were obtained from twenty-eight (n = 28) subjects ranging in age from 10 – 59 years. For both compression and tension, load and sample deflection data were collected and used to calculate stress and strain. For the compression data, the magnitude and shape of the initial loading region (i.e., the toe region), elastic modulus, ultimate stress, ultimate strain, and strain energy density (SED) were quantified for each test. For the tension data, the elastic modulus, ultimate stress, ultimate strain, and SED were calculated for each test. There were no significant effects of sex on the material properties for either method of loading or strain rate. Therefore, male and female data were combined for the age and loading rate analyses. For compression, the toe region transition point (i.e., stress and strain), toe region shape coefficient A, elastic modulus, ultimate stress, and SED were all found to be significantly higher at 0.5 strain/s compared to 0.005 strain/s. For tension, no material properties were found to differ with respect to loading rate. Regarding the effects of age, toe region transition point (i.e., stress and strain), toe region shape coefficients A and B, ultimate stress, ultimate strain, and SED were found to significantly decrease with advancing age for the 0.005 strain/s compression data. For the 0.5 strain/s compression data, toe transition stress, toe transition strain, elastic modulus, ultimate stress, ultimate strain, and SED all significantly decreased with age. For tension, ultimate stress, ultimate strain, and SED were found to significantly decrease with advancing age at 0.005 strain/s and 0.5 strain/s. The ultimate stress, elastic modulus, and SED were higher in compression than in tension. Overall, this is the first study to evaluate the effects of sex, loading rate and age on the compressive and tensile material properties of human costal cartilage from a wide range of ages. These data can be used to assess differences in the response and tolerance of the human rib cage for occupants of various age in motor vehicle collisions.

Encryption is the process of obfuscating data to restrict access to it while allowing it to be returned to its original non-obfuscated form through decryption. This process is increasingly used within web-based systems to secure data. When encryption is introduced in a system, the overall end-to-end latency of the system typically increases, and this increase depends on the size of the input data given to the encryption algorithm. Arguably, the latency introduced by encryption can be reduced if data sizes can be reduced before encryption. Lossless compression is the process of taking some data and reducing its overall data footprint. Introducing such a process within a web-based system that uses encryption could have the potential of reducing overall end-to-end latency within the system, both by reducing encryption time and data transfer time. This thesis evaluates whether the introduction of compression can reduce end-to-end latency in a web-based file upload system that encrypts the received files before storage. A series of experiments have been performed on a created file upload system where compression has been implemented to be used before upload and encryption. The results of these experiments show that compression can reduce end-to-end latency within web-based file upload systems that use encryption by approximately 39% for upload scenarios and approximately 49% for download scenarios when running in a system configuration with network latency.

The use of near infrared (NIR) spectroscopy for predicting levels of degradation in laboratory soil block tests was investigated. Calibrations were developed for mass loss, compression strength, and exposure period using data measured from the prior methods, and untreated and mathematically treated (multiplicative scatter correction and first and second derivative) NIR spectra from various spans of wavelengths by partial least squares regression. Strong correlations were obtained from each study conducted, while calibrations developed from NIR spectra from the cross-sectional face of southern yellow pine presented the strongest predictions. Of them, calibrations for mass loss resulted in the strongest predictions. Calibrations constructed from spectra obtained from the radial face of southern yellow pine also produced strong predictions, where the strongest model was for exposure period. While, calibrations developed for cottonwood presented the weakest statistics, the strongest calibration found was for exposure period.

A 12.9 L heavy duty compression ignition engine was tested with strategies for dual fuel optimization. The effects of varied intake manifold pressure as well as split-injection strategies at a load of 5 bar BMEP and 85 PES were observed. These results were used to allow testing of split-injection strategies at a higher load of 10 bar BMEP at 70 PES that were void of MPRR above 2000 kPa/CAD. The split-injection strategies at 5 bar BMEP showed that lower BSNOx can be achieved with minimal drop in FCE. Varying intake manifold pressure revealed that combustion occurs earlier in a cycle with increasing intake manifold pressure and indirectly increasing FCE. A load of 10 bar BMEP at 70 PES should only use split-injection strategy to maintain load without high MPRR as efficiency drops with dependency on the second injection.