Digital Commons Network^™

Complexity Reduction Of Rbf Multiuser Detector For Ds-Cdma Using A Genetic Algorithm, Mustafa Uğur Torun, Damla Gürkan Kuntalp

Turkish Journal of Electrical Engineering and Computer Sciences

The optimal receiver for detecting direct sequence code division multiple access (DS-CDMA) signals suffers from computational complexity that increases exponentially with the number of users. Several suboptimal multiuser detectors (MUDs) have been proposed to overcome this problem. Due to the nonlinear nature of the decision boundary of the optimal receiver, it is known that nonlinear receivers outperform linear receivers. Radial basis function (RBF) MUD is a nonlinear suboptimal receiver that can perfectly approximate this decision boundary and it needs no training since it is fully determined when the spreading codes of all users and the channel impulse response (CIR) are …

Capability-Based Task Allocation In Emergency-Response Environments: A Coalition-Formation Approach, Afsaneh Fatemi, Kamran Zamanifar, Naser Nematbakhsh

Turkish Journal of Electrical Engineering and Computer Sciences

This paper addresses coalition formation, based on agent capabilities, centered on task allocation in emergency-response environments (EREs). EREs are environments that need fast task completion as their main requirement. We propose a team-based organization model, based on an existing organization model for adaptive complex systems. The model has some key characteristics that are beneficial for EREs: agents act in dynamic, open domains; agents collaborate in completing group tasks; agents may have similar types of capabilities, but at different levels; tasks need different agent capabilities, at collective different levels; and agents are supervised in a partially decentralized manner. We formulate task …

Optimal Placement Of Pmus Using Improved Tabu Search For Complete Observability And Out-Of-Step Prediction, Amany El Zonkoly, Samah El Safty, Rana Maher

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes an optimization method for the optimal placement of phasor measurement units (PMUs) for the complete observability of power systems. The proposed method is based on numerical observability and artificial intelligence. The artificial intelligence algorithm used is the improved tabu search (ITS) algorithm. The ITS is used to find the optimal placement for the PMU to keep the system completely observable. In addition, the paper describes a predictive out-of-step (OOS) algorithm based on the observation of the voltage phase difference between the substations. The proposed optimal placement of the PMUs and the OOS algorithm is tested using the …

Classification Of Power Quality Disturbances Using S-Transform And Tt-Transform Based On The Artificial Neural Network, Sajad Jashfar, Saeed Esmaeili, Mehdi Zareian Jahromi, Mohsen Rahmanian

Turkish Journal of Electrical Engineering and Computer Sciences

The classification of power quality (PQ) disturbances to improve the PQ is an important issue in utilities and industrial factories. In this paper, an approach to classify PQ disturbances is presented. First, a signal containing one of the PQ disturbances, like sag, swell, flicker, interruption, transient, or harmonics, is evaluated using the proposed approach. Afterwards, S-transform and TT-transform are applied to the signal and an artificial neural network is used to recognize the disturbance using S-transform and TT-transform data, like the variance and mean values of S-transform and TT-transform matrices. The main features of the proposed approach are the real-time …

Performance Evolution Of A Newly Developed General-Use Hybrid Ais-Ann System: Aaa-Response, Seral Özşen, Sali̇h Güneş

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, we have developed a nonlinear recognition system in the artificial immune systems (AIS) field named `AaA-response (artificial neural network (ANN)-aided AIS-response)', which is different from previous AIS methods in that it uses a different modeling strategy in the formation of the memory response. Because it also uses ANNs in the determination of the correct output, it can be seen as a hybrid system that involves AIS and ANN approaches. Unlike the other AIS methods, AaA-response uses multiple system units (or antibodies) to form an output for a presented input. This property gives the proposed system the ability …

A Low-Voltage And Low-Power Sinh-Domain Universal Biquadratic Filter For Low-Frequency Applications, Farooq Khanday, Nisar Shah

Turkish Journal of Electrical Engineering and Computer Sciences

Sinh-domain CMOS filters have favorable properties, such as a wide dynamic range at low supply voltage, compactness, linearity, and low power consumption. These properties are becoming increasingly important for biomedical applications that require extremely low-power dissipation and neuromorphic circuits that attempt to reproduce the biophysics of biological neurons and synapses. In this paper, a low-voltage sinh-domain universal biquadratic filter circuit is introduced. The circuit, aside from permitting the independent adjustment of pole frequency (\omega_0) and the quality factor (Q), is free from matching conditions, capable of absorbing the shunt parasitic capacitances, amenable for monolithic integration, and composed of merely a …

Hybrid Spr Algorithm To Select Predictive Genes For Effectual Cancer Classification, Aruna Sundaram, Nandakishore Lellapalli Venkata, Rajagopalan Sarukai Parthasarathy

Turkish Journal of Electrical Engineering and Computer Sciences

Designing an automated system for classifying DNA microarray data is an extremely challenging problem because of its high dimension and low amount of sample data. In this paper, a hybrid statistical pattern recognition algorithm is proposed to reduce the dimensionality and select the predictive genes for the classification of cancer. Colon cancer gene expression profiles having 62 samples of 2000 genes were used for the experiment. A gene subset of 6 highly informative genes was selected by the algorithm, which provided a classification accuracy of 93.5%.

Applications Of Antioxidant And Anti-Inflammatory Polymers To Inhibit Injury And Disease, David B. Cochran

Theses and Dissertations--Chemical and Materials Engineering

There is an undeniable link between oxidative stress, inflammation, and disease. Currently, approaches using antioxidant therapies have been largely unsuccessful due to poor delivery and bioavailability. Responding to these limitations, we have developed classes of polymer and delivery systems that can overcome the challenges of antioxidant and anti-inflammatory therapy. In our initial studies, nanoparticles of poly(trolox), a polymeric form of trolox, were surface-modified with antibodies. This modification allows for specific targeting to endothelial cells, affording controllable and localized protection against oxidative stress. We have shown these targeted nanoparticles bind, internalize, and provide protection against oxidative stress generation and cytotoxicity from …

Influence Of Surface Modification On Properties And Applications Of Complex Engineered Nanoparticles, Binghui Wang

Theses and Dissertations--Chemical and Materials Engineering

Complex engineered nanoparticles (CENPs) are being used on various applications. Their properties are different from those of neat nanoparticles. The dissertation explores these differences from four aspects: 1) Modify carbon nanomaterials’ inert surfaces and investigate the effect on thermal and rheological behavior of their dispersions; 2) Generate self-assembly bi-layer structure of oxide nanoparticles via surface modification; 3) Study interaction between lysozyme and different surface-charged ceria nanoparticles; 4) Investigate the biodistribution and transformations of CENPs in biological media.

An environment-friendly surface modification was developed to modify surfaces of carbon nanomaterials for increasing their affinity to non-polar fluid. It can offset formation …

A Collaborative Social Computing Model For Transdisciplinary Problem Solving, Jerry Allen Higgs

All ETDs from UAB

The capacity to address and solve today's complex problems is becoming exceedingly more difficult because of the transdisciplinary nature of our current system of knowledge. Innovative solutions are no longer the by-products of centralized offices and laboratories. In fact, crafting solutions for truly complex problems requires a collaborative sharing of knowledge that transcends the artificial boundaries of departmentalized offices and research facilities. For decades, segmented information systems built on distributed platforms have kept transdisciplinary problem solving fragmented, without the ability to effectively share knowledge or data. This segmentation has stifled the progress of research reaching beyond the traditional boundaries of …

Estimation And Forecasting Of Air Handling Condensate Recovery Using Multiple Regression Analysis And Time-Series Autoregressive Models, Atul Nandkumar Kajale

All ETDs from UAB

According to the U.S. Drought Monitor (University of Nebraska at Lincoln, 2011), the majority of the Southeastern states are classified as being in a state of moderate, severe, extreme, and or exceptional drought. The northern part of Alabama including Jefferson County falls into the "abnormal" drought category. Due to the prevailing drought conditions in the Southeastern U.S. in the recent past, it is necessary to conserve water resources by using them as efficiently and responsibly as possible. The increasing population, socioeconomic developments, and industrialization could have significant impacts on the way we consume water today. There will be an imbalance …

Biomimetic Self-Assembled Nanomatrix For Pancreatic Islet Transplantation, Dong-Jin Lim

All ETDs from UAB

In an attempt to treat type 1 diabetes, pancreatic islet transplantation (PIT) had been studied, but only 10% of recipients showed maintained insulin independence after 5-year post-islet transplantation, indicating that there remains a constant demand for improving the efficacy of PIT. For a successful PIT, critical factors should be addressed: immune protection, revascularization, and ECM-microenvironment reconstitution. Among them, this study was aimed to develop an ECM mimetic scaffold that reconstitutes the ECM derived microenvironment for an isolated beta cell and islet. A growing body of studies also indicates that the pancreatic ECM is of importance in islet survival and function. …

Mesocorticolimbic Abnormalities In Schizophrenia: A Magnetic Resonance Spectroscopy And Diffusion Tensor Imaging Study, Meredith A. Reid

All ETDs from UAB

Schizophrenia is a complex, often debilitating chronic mental disorder that affects approximately 1% of people worldwide. Recently, there has been growing interest in identifying non-invasive biomarkers of schizophrenia. Understanding the molecular and structural mechanisms underlying clinical features of schizophrenia and patients' drug response is an important step in identifying biomarkers and potential targets for novel medications, treatment strategies, and interventions. The primary objective of this dissertation research was to use non-invasive magnetic resonance imaging techniques, specifically magnetic resonance spectroscopy (MRS) and diffusion tensor imaging (DTI), to examine the neurochemical and structural correlates of symptoms, cognition, and treatment response to antipsychotic …

Capturing The Semantics Of Evolving Software Ecosystem Architectures, David E. Robbins

All ETDs from UAB

Current software modeling techniques emphasize the modeling of individual software systems using formal modeling tools, such as the Unified Modeling Language. With recent advances in the conceptualization of software ecosystems, the need for modeling techniques capable of describing the interaction between diverse software systems within the environment in which they are created and used has become apparent. This dissertation presents a semantic framework for the modeling of software ecosystems, including a concept-map based notation. Concretely, this modeling framework comprises a semantic web ontology with three classes and two properties. As validated by application to three app-centric software ecosystem case studies, …

Intramural Electrical Uncoupling During Long-Duration Ventricular Fibrillation In Rabbit, Trenika A. Madden

All ETDs from UAB

Ventricular fibrillation is a lethal cardiac arrhythmia which alters electrophysiological properties of the myocardium while concurrently inducing global ischemia and is associated with high mortality rates. Studies on the organization of long-duration ventricular fibrillation (LDVF) have shown that an endocardial to epicardial (i.e. transmural) activation rate gradient exists during ventricular fibrillation in canine and human myocardium; however, the underlying mechanism is unknown. This study tested the hypothesis that the activation rate gradient reflects heterogeneous changes in tissue electrical resistivity resulting in differential transmural electrical uncoupling of the ventricular myocardium. LDVF (>5min) was electrically induced in anesthetized, open-chest rabbits using …

In Vitro Prevascularization Of 3d Tissue Constructs, Lauren Marshall

All ETDs from UAB

There is a need for more effective therapies to combat breast cancer. One reason for the inefficiency of therapeutics is that testing technologies currently employed in drug discovery and development are not reliable when transitioning drugs into human clinical trials. To supplement the currently used in vitro cell culture studies and in vivo animal studies, an in vitro three-dimensional breast tumor system has been suggested with integration of human cells, hydrogel biomaterials, 3D architecture, and endothelialized microchannels. Therefore, the objective of the thesis project, as an initial step in fabrication of the supplemental system for drug testing, is to fabricate …

In-Vivo Characterization Of Cone Photoreceptor Packing Density With Adaptive Optics Scanning Laser Ophthalmoscopy In Different Racial Groups, Ernesto Blanco Rivero

All ETDs from UAB

Cone photoreceptors are one of the two types of essential light sensitive cells that initiate the visual process in the human retina. A normal database of the cone density of healthy eyes may provide an important measure for diagnosing retinal diseases that cause photoreceptor loss, for monitoring disease progression, and for evaluating treatment out-come. Recent studies revealed that the foveal pit morphology, retina thickness, retinal nerve fiber layer (RNFL) thickness, and optic nerve head structure significantly correlated with racial background. We hypothesize that the cone density may be also modified by racial background. To test this hypothesis, I used a …

Utilizing A Hydroxyapatite-Binding Domain To Deliver Bone Regenerative Molecules To Hydroxyapatite And Allograft Bone To Enhance Osteogenesis, Bonnie Kathleen Culpepper

All ETDs from UAB

Hydroxyapatite (HA) makes up the mineral component of bone, and synthetic HA is commonly used to coat metal implants for use in dentistry and orthopedics. Additionally, allograft and synthetic HA are common alternatives to autograft bone, to circumvent the complications associated with a second surgery site. While both HA and allograft are known to be osteoconductive, osteoinductivity is limited. In this work, we developed methods for anchoring osteoinductive factors onto multiple types of HA biomaterials and human allograft bone, with the goal of enhancing their osteoregenerative potential. Specifically, a HA-binding domain, heptaglutamate (E7), modeled on bone-binding domains within native proteins, …

Characterization Of The Interactions Of Calmodulin With Fas And Death Receptor-5, And Determine The Role Of Calmodulin - Death Receptor-5 Binding In Disc Formation In Breast Cancer., Romone Markel Fancy

All ETDs from UAB

Breast cancer is one of the most commonly diagnosed cancers. Calmodulin (CaM) is involved in regulating breast cancer growth, proliferation, and transformation to malignancy. CaM has been shown to play a role in regulating Fas and DR-5 mediated apoptosis. The Fas receptor apoptotic pathway has been well characterized in cholangiocarcinoma; however, targeting Fas for anti-cancer therapy has shown hepatotoxicity in vivo. Thus, in vitro studies with breast cancer will focus on the DR-5 mediated apoptotic pathway. Targeting DR-5 to regulate breast cancer apoptosis is a promising strategy for breast cancer treatment. Understanding the mechanism of Fas and DR-5 interaction with …

Ultrasound And Microbubbles: A Role In Cancer, Anna Sorace

All ETDs from UAB

Successful cancer treatment relies on the sensitivity to monitor cancer response to therapy and the ability to efficiently deliver drugs to the tumor. Cancer research has continuously improved patient outcomes over the last decades; however, it is still the second leading cause of death in the United States. It is essential to improve methods to progress all areas of cancer treatment, including monitoring and drug delivery. Ultrasound (US) is a popular clinical imaging modality due to its low levels of radiation, portability, and cost effective imaging. These advantageous characteristics have allowed for novel research advancements in the US field including …

Plga Nanospheres For Sustained Release Of Rifampicin, Alyssa Brianna Terry

All ETDs from UAB

Although Tuberculosis (TB) is often regarded as a disease of the past, it is still one of the leading killers of people worldwide. TB is caused by Mycobacterium tuberculosis, a bacterium that mostly infects the lungs but can also infect other organs throughout the body. One goal for TB treatment is to create a biocompatible, biodegradable drug delivery system that employs the use of multiple drugs while simultaneously relieving the patient from the burden of self-medicating. For this study, we optimized a procedure for making poly(lactic acid-co-glycolic acid) (PLGA) nanospheres and loading Rifampicin, one of the most potent and least …

Carbon Dioxide Enhanced Oil Recovery From The Citronelle Oil Field And Carbon Sequestration In The Donovan Sand, Southwest Alabama, Konstantinos A. Theodorou

All ETDs from UAB

Capturing carbon dioxide (CO2) from stationary sources and injecting it into deep underground geologic formations has been identified as a viable method for reducing carbon emissions to the atmosphere. Sedimentary rocks, such as sandstones overlain by shales or evaporites, are the preferred formations because their morphology and structure provide pore space, and containment for the long term storage of CO2. Sandstone formations have also served as repositories to migrating hydrocarbons, and are the sites of many oil recovery operations. For many depleted oil reservoirs, secondary waterflooding recovery methods are no longer efficient or economically viable, hence the application of tertiary …

The Impact Of Fine Sensor Spacing On Complex Tissue Impedance Spectra Measurements In Rabbit Ventricular Epicardium, Charlotte Mae Kent Waits

All ETDs from UAB

Our research group recently developed an instrumentation and signal processing approach that overcomes many of the obstacles associated with using small sensors to complete complex composite impedance (uCI) measurements, whose amplitude and phase depend upon the tissue's resistive and capacitive properties. The goal of this study was to test the feasibility of using smaller electrodes with finer separations than sizes traditionally employed in cardiac electrophysiologic studies with whole hearts to resolve uCI spectra in terms of magnitude (|uCI|) and phase (

Ultrasound For Improved Crystallisation In Food Processing, N. Misra, Navneet Deora, Brijesh Tiwari, Patrick J. Cullen

Articles

Within the food industry, controlling crystallisation is a key factor governing food structure, texture and consumer appeal, with some foods requiring the promotion of crystallisation in a controlled manner (e.g. chocolate) and others a check (e.g. in honey). Sonocrystallisation is the application of ultrasound energy to control the nucleation of a crystallisation process. The use of power ultrasound provides a non-invasive approach to producing crystals with desired properties. Sonocrystallisation facilitates process control, primarily by modulating crystal size distribution and morphology. This paper details the governing mechanisms of sonocrystallisation. Proven and potential applications of the process in foods, including chocolates, honey, …

Dual-Band Omnidirectional Circularly Polarized Antenna, Adam Narbudowicz, Xiulong Bao, Max Ammann

Articles

A dual-band omnidirectional circularly polarized antenna is proposed. The antenna comprises back-to-back microstrip patches fed by a coplanar waveguide. A very low frequency ratio of 1.182 has been achieved, which can be easily tuned by adjusting four lumped capacitors incorporated into the antenna. An analysis of the omnidirectional circular polarization mechanism as well the dual band operation is provided and confirmed by numerical and experimental data. Key parameters to tune the resonant frequencies and the axial ratio have been identified. The prototype antenna provides omnidirectional circular polarization in one plane with cross polar isolation better than 12 dB for both …

Determining Whether Sequence Differences In Gfa Gene Cause Alexander Disease, Lital Nehama Silverman Webster

All ETDs from UAB

Alexander disease (AxD) is a fatal astrogliopathy usually caused by mutations in the GFA gene, which encodes glial fibrillary acidic protein (GFAP). In this document, two unusual sequence differences in GFA that are associated with AxD are characterized. The first difference is the only reported case of an AxD-causing mutation occurring in a non-coding region of GFA, c.(619-3C>G), resulting in the largest known in-frame deletion in GFAP due to abnormal splicing in a small fraction of the GFA transcripts. The second difference is the farthest reported C-terminal point mutation in GFAP, g.1277A-->T, which produces a Q426L coding change. …

Turing Test As A Defining Feature Of Ai-Completeness, Roman V. Yampolskiy

Faculty and Staff Scholarship

The paper contributes to the development of the theory of AI-Completeness by formalizing the notion of AI-Complete, C-Complete and AI-Hard problems. The intended goal is to provide a classification of problems in the field of Artificial General Intelligence. We prove Turing Test to be an instance of an AI-Complete problem and further show certain AI problems to be AI-Complete or AI-Hard via polynomial time reductions. Finally, the paper suggests some directions for future work on the theory of AI-Completeness.

Development Of `Lick And Stick' Passive Wireless Temperature Sensor For Harsh Environment, Hasanul Karim

Open Access Theses & Dissertations

Wireless passive temperature sensors have been receiving increasing attention due to the ever-growing need of higher energy efficient and precise monitoring of temperatures in high temperature energy conversion systems such as gas turbines and coal-based power plants. Unfortunately, the harsh environment such as high temperature and corrosive atmosphere present in these systems has significantly limited the reliability and increased the cost of current solutions. Therefore, this research project presents the concept and design of a low cost, passive, and wireless temperature sensor that can withstand high temperature and harsh environment. The temperature sensor was designed following the principle of metamaterials …

A Systematic Approach To Manage Missing Data In Pavement Management Systems, Mazin M. Al-Zou'bi

Open Access Theses & Dissertations

Pavements are an important part of the highway transportation infrastructure, accounting for the largest share of the overall investment. A tremendous amount of time and money is spent each year on the construction of new pavements, as well as on the maintenance and rehabilitation of existing pavements.

Transportation agencies use pavement management systems (PMS) for their maintenance and rehabilitation planning, programming, and budgeting. PMS are used to make decisions regarding when maintenance and rehabilitation should be applied. The systems also select what type of treatment should be applied for each pavement section in the network with clear estimations of the …

The Investigation Of The Practice Of Frugal Innovation Across Cultures And The Introduction Of An Instructional Model For Streamlining The Design Process, Andres Efren Bolanos

Open Access Theses & Dissertations

The central objectives of this dissertation are to analyze frugal innovation, apply foundational methodologies that contribute to product design, and discover the important contextual information for successful development. This dissertation describes a systematic procedure in designing frugally innovated products. The institutional design will encompass environmental, social, and economic impacts into the entire products' life cycle. Also, a comparison is made between two developing nations' contextual factors to reveal the formulation of frugal innovation.