32 research outputs found
Contextual biometric watermarking of fingerprint images
This research presents contextual digital watermarking techniques using face and demographic text data as multiple watermarks for protecting the evidentiary integrity of fingerprint image. The proposed techniques embed the watermarks into selected regions of fingerprint image in MDCT and DWT domains. A general image watermarking algorithm is developed to investigate the application of MDCT in the elimination of blocking artifacts. The application of MDCT has improved the performance of the watermarking technique compared to DCT. Experimental results show that modifications to fingerprint image are visually imperceptible and maintain the minutiae detail. The integrity of the fingerprint image is verified through high matching score obtained from the AFIS system. There is also a high degree of correlation between the embedded and extracted watermarks. The degree of similarity is computed using pixel-based metrics and human visual system metrics. It is useful for personal identification and establishing digital chain of custody. The results also show that the proposed watermarking technique is resilient to common image modifications that occur during electronic fingerprint transmission
Improvement in Performance of Wireless Relay Nodes Using Physical Layer Network Coding
Recent advancements in high data rate networks have led to a growing interest in improving performance of wireless relay networks through the use of Physical Layer Network Coding (PLNC) technique. In the PLNC technique, the relay node exploits the network coding operation that occurs naturally when the two electromagnetic (EM) waves are superimposed on one another to directly decode the modulo-2 sum of the transmitted symbols.
In this thesis, we will present an optimal power control algorithm for performance improvement in wireless relay nodes implementing physical layer network coding. We shall also present a sub-optimal power control algorithm and compare its performance with the optimal power control algorithm. Our approach will first derive the probability of error for the amplitude-controlled system using Maximum Likelihood detection and then minimize the probability of error using amplitude control functions as variables to derive the optimal power control functions. We shall start by considering the thresholds of the system to be the maximum of the independent received amplitudes to derive the probability of error equations and then extend it to a variable threshold system, where the threshold is a function of independent received amplitudes. We then derive an optimal power control algorithm for a single channel Rayleigh system and implement this power control algorithm independently on the terminals to achieve a sub-optimal power control algorithm.
Our results show that the proposed optimal power control algorithm boosts the performance of the PLNC system significantly compared to the no power control system. We also show that there are no significant differences between the performances of optimal power control and the sub-optimal power control algorithms. We further show that the performance of the system is not degraded much when the amplitudes of the terminals deviate from the optimal amplitudes
Toward guidelines on running multi-country, multi-site projects: summary report of an in-house workshop held on 18 January 1997
ICLARM, Research programmes, Development projects, Project management, International cooperation
Improvement in Performance of Wireless Relay Nodes Using Physical Layer Network Coding
Recent advancements in high data rate networks have led to a growing interest in improving performance of wireless relay networks through the use of Physical Layer Network Coding (PLNC) technique. In the PLNC technique, the relay node exploits the network coding operation that occurs naturally when the two electromagnetic (EM) waves are superimposed on one another to directly decode the modulo-2 sum of the transmitted symbols.
In this thesis, we will present an optimal power control algorithm for performance improvement in wireless relay nodes implementing physical layer network coding. We shall also present a sub-optimal power control algorithm and compare its performance with the optimal power control algorithm. Our approach will first derive the probability of error for the amplitude-controlled system using Maximum Likelihood detection and then minimize the probability of error using amplitude control functions as variables to derive the optimal power control functions. We shall start by considering the thresholds of the system to be the maximum of the independent received amplitudes to derive the probability of error equations and then extend it to a variable threshold system, where the threshold is a function of independent received amplitudes. We then derive an optimal power control algorithm for a single channel Rayleigh system and implement this power control algorithm independently on the terminals to achieve a sub-optimal power control algorithm.
Our results show that the proposed optimal power control algorithm boosts the performance of the PLNC system significantly compared to the no power control system. We also show that there are no significant differences between the performances of optimal power control and the sub-optimal power control algorithms. We further show that the performance of the system is not degraded much when the amplitudes of the terminals deviate from the optimal amplitudes
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Exceptional Properties in Friction Stir Processed Beta Titanium Alloys and an Ultra High Strength Steel
The penchant towards development of high performance materials for light weighting engineering systems through various thermomechanical processing routes has been soaring vigorously. Friction stir processing (FSP) - a relatively new thermomechanical processing route had shown an excellent promise towards microstructural modification in many Al and Mg alloy systems. Nevertheless, the expansion of this process to high temperature materials like titanium alloys and steels is restricted by the limited availability of tool materials. Despite it challenges, the current thesis sets a tone for the usage of FSP to tailor the mechanical properties in titanium alloys and steels. FSP was carried out on three near beta titanium alloys, namely Ti6246, Ti185 and Tiβc with increasing β stability index, using various tool rotation rates and at a constant tool traverse speed. Microstructure and mechanical property relationship was studied using experimental techniques such as SEM, TEM, mini tensile testing and synchrotron x-ray diffraction. Two step aging on Ti6246 had resulted in an UTS of 2.2GPa and a specific strength around 500 MPa m3/mg, which is about 40% greater than any commercially available metallic material. Similarly, FSP on an ultra-high strength steel―Eglin steel had resulted in a strength greater than 2GPa with a ductility close to 10% at around 4mm from the top surface of stir zone (SZ). Experimental techniques such as microhardness, mini-tensile testing and SEM were used to correlate the microstructure and properties observed inside SZ and HAZ's of the processed region. A 3D temperature modeling was used to predict the peak temperature and cooling rates during FSP. The exceptional strength ductility combinations inside the SZ is believed to be because of mixed microstructure comprised of various volume fractions of phases such as martensite, bainite and retained austenite
Effect of Hypoeutectic Boron Addition on the beta Transus of Ti-6Al-4V Alloy
In the present study, the beta transus of boron-modified Ti-6Al-4V alloy was found to be almost equivalent to that of the normal alloy, although there is a difference in interstitial element content large enough to produce significant change. Compositional analysis confirms the scavenging ability of the boride particles that are present in the microstructure toward the interstitial elements. This factor can successfully retard the alpha -> beta phase transformation locally and increase the overall beta transus of boron-added material
Embedding biometric identifiers in 2D barcodes for improved security.
Two-dimensional (2D) barcode symbology is an emerging technology used for compactly storing and retrieving information. These barcodes can be found on the back of drivers’ licenses and are encoded with secure text data. Standard 2D barcode such as PDF417 uses upper and lowercase alphabets, numeric digits and special characters for encoding. Some barcodes also include a compressed photo of the individual. The visual quality of the compressed image is usually poor and occupies a large amount of space which greatly reduces the capacity needed for encoding text. This paper presents a novel approach for embedding uncompressed images in a standard PDF417 2D barcode using a blind digital watermarking technique. The text is encoded in the standard PDF417 format with error correction, while the face and fingerprint images are watermarked in the encoded 2D barcode. Experimental results show that the proposed technique effectively increased the standard capacity of the PDF417 2D barcode without altering the contents of the encoded data. The results also show that the visual quality of the extracted photo image is high. The extracted fingerprint image when compared with the original fingerprint using an AFIS system yielded a high matching score
Solution and microwave assisted synthesis of β-Cyclodextrin grafted polyacrylamide: Water treatment and In-vitro drug release study
Rapid titration of VNS therapy reduces time-to-response in epilepsy.
Common titration strategies for vagus nerve stimulation (VNS) prioritize monitoring of tolerability during small increases in stimulation intensity over several months. Prioritization of tolerability is partially based on how quickly side effects can be perceived and reported by patients, and the delayed onset of clinical benefits from VNS. However, many practices assess the clinical benefit of VNS at one year after implantation, and excessive caution during the titration phase can significantly delay target dosing or prevent a patient from reaching a therapeutic dose entirely. This study aimed to characterize the relationship between titration speed and the onset of clinical response to VNS. To assess differences between more aggressive titration strategies and more conservative ones, we analyzed the relationship between time-to-dose and time-to-response using a weighted Cox regression. The target dose was empirically defined as 1.625 mA output current delivered at 250 microsecond pulse widths at 20 Hz. Patient-level outcomes and dosing data were segregated into fast (6 months) cohorts based on their titration speed. The statistical model revealed a significant relationship between titration speed and onset of clinical response, defined as a 50% reduction from baseline in seizure frequency. Frequency of adverse events reported between each cohort trended toward higher rates of adverse events in adults who were titrated quickly; however, the pediatric population appeared to be more tolerant of titration at any speed. This analysis indicates that faster titration yields faster onset of clinical benefit and is especially practical in the pediatric population, though attempts to accelerate adult titration may still be warranted
Rapid titration of VNS therapy reduces time-to-response in epilepsy
Common titration strategies for vagus nerve stimulation (VNS) prioritize monitoring of tolerability during small increases in stimulation intensity over several months. Prioritization of tolerability is partially based on how quickly side effects can be perceived and reported by patients, and the delayed onset of clinical benefits from VNS. However, many practices assess the clinical benefit of VNS at one year after implantation, and excessive caution during the titration phase can significantly delay target dosing or prevent a patient from reaching a therapeutic dose entirely. This study aimed to characterize the relationship between titration speed and the onset of clinical response to VNS. To assess differences between more aggressive titration strategies and more conservative ones, we analyzed the relationship between time-to-dose and time-to-response using a weighted Cox regression. The target dose was empirically defined as 1.625 mA output current delivered at 250 microsecond pulse widths at 20 Hz. Patient-level outcomes and dosing data were segregated into fast (6 months) cohorts based on their titration speed. The statistical model revealed a significant relationship between titration speed and onset of clinical response, defined as a 50% reduction from baseline in seizure frequency. Frequency of adverse events reported between each cohort trended toward higher rates of adverse events in adults who were titrated quickly; however, the pediatric population appeared to be more tolerant of titration at any speed. This analysis indicates that faster titration yields faster onset of clinical benefit and is especially practical in the pediatric population, though attempts to accelerate adult titration may still be warranted