This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

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Description
Social media offers a powerful platform for the independent digital content producer community to develop, disperse, and maintain their brands. In terms of information systems research, the broad majority of the work has not examined hedonic consumption on Social Media Sites (SMS). The focus has mostly been on the organizational

Social media offers a powerful platform for the independent digital content producer community to develop, disperse, and maintain their brands. In terms of information systems research, the broad majority of the work has not examined hedonic consumption on Social Media Sites (SMS). The focus has mostly been on the organizational perspectives and utilitarian gains from these services. Unlike through traditional commerce channels, including e-commerce retailers, consumption enhancing hedonic utility is experienced differently in the context of a social media site; consequently, the dynamic of the decision-making process shifts when it is made in a social context. Previous research assumed a limited influence of a small, immediate group of peers. But the rules change when the network of peers expands exponentially. The assertion is that, while there are individual differences in the level of susceptibility to influence coming from others, these are not the most important pieces of the analysis--unlike research centered completely on influence. Rather, the context of the consumption can play an important role in the way social influence factors affect consumer behavior on Social Media Sites. Over the course of three studies, this dissertation will examine factors that influence consumer decision-making and the brand personalities created and interpreted in these SMS. Study one examines the role of different types of peer influence on consumer decision-making on Facebook. Study two observes the impact of different types of producer message posts with the different types of influence on decision-making on Twitter. Study three will conclude this work with an exploratory empirical investigation of actual twitter postings of a set of musicians. These studies contribute to the body of IS literature by evaluating the specific behavioral changes related to consumption in the context of digital social media: (a) the power of social influencers in contrast to personal preferences on SMS, (b) the effect on consumers of producer message types and content on SMS at both the profile level and the individual message level.
ContributorsSopha, Matthew (Author) / Santanam, Raghu T (Thesis advisor) / Goul, Kenneth M (Committee member) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2013
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Description
To uncover the neural correlates to go-directed behavior, single unit action potentials are considered fundamental computing units and have been examined by different analytical methodologies under a broad set of hypotheses. Using a behaving rat performing a directional choice learning task, we aim to study changes in rat's cortical neural

To uncover the neural correlates to go-directed behavior, single unit action potentials are considered fundamental computing units and have been examined by different analytical methodologies under a broad set of hypotheses. Using a behaving rat performing a directional choice learning task, we aim to study changes in rat's cortical neural patterns while he improved his task performance accuracy from chance to 80% or higher. Specifically, simultaneous multi-channel single unit neural recordings from the rat's agranular medial (AGm) and Agranular lateral (AGl) cortices were analyzed using joint peristimulus time histogram (JPSTHs), which effectively unveils firing coincidences in neural action potentials. My results based on data from six rats revealed that coincidences of pair-wise neural action potentials are higher when rats were performing the task than they were not at the learning stage, and this trend abated after the rats learned the task. Another finding is that the coincidences at the learning stage are stronger than that when the rats learned the task especially when they were performing the task. Therefore, this coincidence measure is the highest when the rats were performing the task at the learning stage. This may suggest that neural coincidences play a role in the coordination and communication among populations of neurons engaged in a purposeful act. Additionally, attention and working memory may have contributed to the modulation of neural coincidences during the designed task.
ContributorsCheng, Bing (Author) / Si, Jennie (Thesis advisor) / Chae, Junseok (Committee member) / Seo, Jae-Sun (Committee member) / Arizona State University (Publisher)
Created2014
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Description
Photovoltaic (PV) systems are affected by converter losses, partial shading and other mismatches in the panels. This dissertation introduces a sub-panel maximum power point tracking (MPPT) architecture together with an integrated CMOS current sensor circuit on a chip to reduce the mismatch effects, losses and increase the efficiency of the

Photovoltaic (PV) systems are affected by converter losses, partial shading and other mismatches in the panels. This dissertation introduces a sub-panel maximum power point tracking (MPPT) architecture together with an integrated CMOS current sensor circuit on a chip to reduce the mismatch effects, losses and increase the efficiency of the PV system. The sub-panel MPPT increases the efficiency of the PV during the shading and replaces the bypass diodes in the panels with an integrated MPPT and DC-DC regulator. For the integrated MPPT and regulator, the research developed an integrated standard CMOS low power and high common mode range Current-to-Digital Converter (IDC) circuit and its application for DC-DC regulator and MPPT. The proposed charge based CMOS switched-capacitor circuit directly digitizes the output current of the DC-DC regulator without an analog-to-digital converter (ADC) and the need for high-voltage process technology. Compared to the resistor based current-sensing methods that requires current-to-voltage circuit, gain block and ADC, the proposed CMOS IDC is a low-power efficient integrated circuit that achieves high resolution, lower complexity, and lower power consumption. The IDC circuit is fabricated on a 0.7 um CMOS process, occupies 2mm x 2mm and consumes less than 27mW. The IDC circuit has been tested and used for boost DC-DC regulator and MPPT for photo-voltaic system. The DC-DC converter has an efficiency of 95%. The sub-module level power optimization improves the output power of a shaded panel by up to 20%, compared to panel MPPT with bypass diodes.
ContributorsMarti-Arbona, Edgar (Author) / Kiaei, Sayfe (Thesis advisor) / Bakkaloglu, Bertan (Committee member) / Kitchen, Jennifer (Committee member) / Seo, Jae-Sun (Committee member) / Arizona State University (Publisher)
Created2014
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Description
This work describes the development of automated flows to generate pad rings, mixed signal power grids, and mega cells in a multi-project test chip. There were three major design flows that were created to create the test chip. The first was the pad ring which was used as the staring

This work describes the development of automated flows to generate pad rings, mixed signal power grids, and mega cells in a multi-project test chip. There were three major design flows that were created to create the test chip. The first was the pad ring which was used as the staring block for creating the test chip. This flow put all of the signals for the chip in the order that was wanted along the outside of the die along with creation of the power ring that is used to supply the chip with a robust power source.

The second flow that was created was used to put together a flash block that is based off of a XILIX XCFXXP. This flow was somewhat similar to how the pad ring flow worked except that optimizations and a clock tree was added into the flow. There was a couple of design redoes due to timing and orientation constraints.

Finally, the last flow that was created was the top level flow which is where all of the components are combined together to create a finished test chip ready for fabrication. The main components that were used were the finished flash block, HERMES, test structures, and a clock instance along with the pad ring flow for the creation of the pad ring and power ring.

Also discussed is some work that was done on a previous multi-project test chip. The work that was done was the creation of power gaters that were used like switches to turn the power on and off for some flash modules. To control the power gaters the functionality change of some pad drivers was done so that they output a higher voltage than what is seen in the core of the chip.
ContributorsLieb, Christopher (Author) / Clark, Lawrence (Thesis advisor) / Holbert, Keith E. (Committee member) / Seo, Jae-Sun (Committee member) / Arizona State University (Publisher)
Created2015
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Description
In accordance with the Principal Agent Theory, Property Right Theory, Incentive Theory, and Human Capital Theory, firms face agency problems due to “separation of ownership and management”, which call for effective corporate governance. Ownership structure is a core element of the corporate governance. The differences in ownership structures thus may

In accordance with the Principal Agent Theory, Property Right Theory, Incentive Theory, and Human Capital Theory, firms face agency problems due to “separation of ownership and management”, which call for effective corporate governance. Ownership structure is a core element of the corporate governance. The differences in ownership structures thus may result in differential incentives in governance through the selection of senior management and in the design of senior management compensation system. This thesis investigates four firms with four different types of ownership structures: a public listed firm with the controlling interest by the state, a public listed firm with a non-state-owned controlling interest, a public listed firm a family-owned controlling interest, and a Sino-foreign joint venture firm. By using a case study approach, I focus on two dimensions of ownership structure characteristics – ownership diversification and differences in property rights so as to document whether there are systematic differences in governance participation and executive compensation design. Specifically, I focused on whether such differences are reflected in management selection (which is linked to adverse selection and moral hazard problems) and in compensation design (the choices of performance measurements, performance pay, and in stock option or restricted stock). The results are consistent with my expectation – the nature of ownership structure does affect senior management compensation design. Policy implications are discussed accordingly.
ContributorsGao, Shenghua (Author) / Pei, Ker-Wei (Thesis advisor) / Li, Feng (Committee member) / Shen, Wei (Committee member) / Arizona State University (Publisher)
Created2015
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Description
Mobile applications (Apps) markets with App stores have introduced a new approach to define and sell software applications with access to a large body of heterogeneous consumer population. Several distinctive features of mobile App store markets including – (a) highly heterogeneous consumer preferences and values, (b) high consumer cognitive burden

Mobile applications (Apps) markets with App stores have introduced a new approach to define and sell software applications with access to a large body of heterogeneous consumer population. Several distinctive features of mobile App store markets including – (a) highly heterogeneous consumer preferences and values, (b) high consumer cognitive burden of searching a large selection of similar Apps, and (c) continuously updateable product features and price – present a unique opportunity for IS researchers to investigate theoretically motivated research questions in this area. The aim of this dissertation research is to investigate the key determinants of mobile Apps success in App store markets. The dissertation is organized into three distinct and related studies. First, using the key tenets of product portfolio management theory and theory of economies of scope, this study empirically investigates how sellers’ App portfolio strategies are associated with sales performance over time. Second, the sale performance impacts of App product cues, generated from App product descriptions and offered from market formats, are examined using the theories of market signaling and cue utilization. Third, the role of App updates in stimulating consumer demands in the presence of strong ranking effects is appraised. The findings of this dissertation work highlight the impacts of sellers’ App assortment, strategic product description formulation, and long-term App management with price/feature updates on success in App market. The dissertation studies make key contributions to the IS literature by highlighting three key managerially and theoretically important findings related to mobile Apps: (1) diversification across selling categories is a key driver of high survival probability in the top charts, (2) product cues strategically presented in the descriptions have complementary relationships with market cues in influencing App sales, and (3) continuous quality improvements have long-term effects on App success in the presence of strong ranking effects.
ContributorsLee, Gun Woong (Author) / Santanam, Raghu (Thesis advisor) / Gu, Bin (Committee member) / Park, Sungho (Committee member) / Arizona State University (Publisher)
Created2015
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Description
Switching Converters (SC) are an excellent choice for hand held devices due to their high power conversion efficiency. However, they suffer from two major drawbacks. The first drawback is that their dynamic response is sensitive to variations in inductor (L) and capacitor (C) values. A cost effective solution is implemented

Switching Converters (SC) are an excellent choice for hand held devices due to their high power conversion efficiency. However, they suffer from two major drawbacks. The first drawback is that their dynamic response is sensitive to variations in inductor (L) and capacitor (C) values. A cost effective solution is implemented by designing a programmable digital controller. Despite variations in L and C values, the target dynamic response can be achieved by computing and programming the filter coefficients for a particular L and C. Besides, digital controllers have higher immunity to environmental changes such as temperature and aging of components. The second drawback of SCs is their poor efficiency during low load conditions if operated in Pulse Width Modulation (PWM) mode. However, if operated in Pulse Frequency Modulation (PFM) mode, better efficiency numbers can be achieved. A mostly-digital way of detecting PFM mode is implemented. Besides, a slow serial interface to program the chip, and a high speed serial interface to characterize mixed signal blocks as well as to ship data in or out for debug purposes are designed. The chip is taped out in 0.18µm IBM's radiation hardened CMOS process technology. A test board is built with the chip, external power FETs and driver IC. At the time of this writing, PWM operation, PFM detection, transitions between PWM and PFM, and both serial interfaces are validated on the test board.
ContributorsMumma Reddy, Abhiram (Author) / Bakkaloglu, Bertan (Thesis advisor) / Ogras, Umit Y. (Committee member) / Seo, Jae-Sun (Committee member) / Arizona State University (Publisher)
Created2014
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Description
Register file (RF) memory is important in low power system on chip (SOC) due to its

inherent low voltage stability. Moreover, designs increasingly use compiled instead of custom memory blocks, which frequently employ static, rather than pre-charged dynamic RFs. In this work, the various RFs designed for a microprocessor cache and

Register file (RF) memory is important in low power system on chip (SOC) due to its

inherent low voltage stability. Moreover, designs increasingly use compiled instead of custom memory blocks, which frequently employ static, rather than pre-charged dynamic RFs. In this work, the various RFs designed for a microprocessor cache and register files are discussed. Comparison between static and dynamic RF power dissipation and timing characteristics is also presented. The relative timing and power advantages of the designs are shown to be dependent on the memory aspect ratio, i.e. array width and height.
ContributorsVashishtha, Vinay (Author) / Clark, Lawrence T. (Thesis advisor) / Seo, Jae-Sun (Committee member) / Ogras, Umit Y. (Committee member) / Arizona State University (Publisher)
Created2014
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Description
The theme for this work is the development of fast numerical algorithms for sparse optimization as well as their applications in medical imaging and source localization using sensor array processing. Due to the recently proposed theory of Compressive Sensing (CS), the $\ell_1$ minimization problem attracts more attention for its ability

The theme for this work is the development of fast numerical algorithms for sparse optimization as well as their applications in medical imaging and source localization using sensor array processing. Due to the recently proposed theory of Compressive Sensing (CS), the $\ell_1$ minimization problem attracts more attention for its ability to exploit sparsity. Traditional interior point methods encounter difficulties in computation for solving the CS applications. In the first part of this work, a fast algorithm based on the augmented Lagrangian method for solving the large-scale TV-$\ell_1$ regularized inverse problem is proposed. Specifically, by taking advantage of the separable structure, the original problem can be approximated via the sum of a series of simple functions with closed form solutions. A preconditioner for solving the block Toeplitz with Toeplitz block (BTTB) linear system is proposed to accelerate the computation. An in-depth discussion on the rate of convergence and the optimal parameter selection criteria is given. Numerical experiments are used to test the performance and the robustness of the proposed algorithm to a wide range of parameter values. Applications of the algorithm in magnetic resonance (MR) imaging and a comparison with other existing methods are included. The second part of this work is the application of the TV-$\ell_1$ model in source localization using sensor arrays. The array output is reformulated into a sparse waveform via an over-complete basis and study the $\ell_p$-norm properties in detecting the sparsity. An algorithm is proposed for minimizing a non-convex problem. According to the results of numerical experiments, the proposed algorithm with the aid of the $\ell_p$-norm can resolve closely distributed sources with higher accuracy than other existing methods.
ContributorsShen, Wei (Author) / Mittlemann, Hans D (Thesis advisor) / Renaut, Rosemary A. (Committee member) / Jackiewicz, Zdzislaw (Committee member) / Gelb, Anne (Committee member) / Ringhofer, Christian (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Static CMOS logic has remained the dominant design style of digital systems for

more than four decades due to its robustness and near zero standby current. Static

CMOS logic circuits consist of a network of combinational logic cells and clocked sequential

elements, such as latches and flip-flops that are used for sequencing computations

over

Static CMOS logic has remained the dominant design style of digital systems for

more than four decades due to its robustness and near zero standby current. Static

CMOS logic circuits consist of a network of combinational logic cells and clocked sequential

elements, such as latches and flip-flops that are used for sequencing computations

over time. The majority of the digital design techniques to reduce power, area, and

leakage over the past four decades have focused almost entirely on optimizing the

combinational logic. This work explores alternate architectures for the flip-flops for

improving the overall circuit performance, power and area. It consists of three main

sections.

First, is the design of a multi-input configurable flip-flop structure with embedded

logic. A conventional D-type flip-flop may be viewed as realizing an identity function,

in which the output is simply the value of the input sampled at the clock edge. In

contrast, the proposed multi-input flip-flop, named PNAND, can be configured to

realize one of a family of Boolean functions called threshold functions. In essence,

the PNAND is a circuit implementation of the well-known binary perceptron. Unlike

other reconfigurable circuits, a PNAND can be configured by simply changing the

assignment of signals to its inputs. Using a standard cell library of such gates, a technology

mapping algorithm can be applied to transform a given netlist into one with

an optimal mixture of conventional logic gates and threshold gates. This approach

was used to fabricate a 32-bit Wallace Tree multiplier and a 32-bit booth multiplier

in 65nm LP technology. Simulation and chip measurements show more than 30%

improvement in dynamic power and more than 20% reduction in core area.

The functional yield of the PNAND reduces with geometry and voltage scaling.

The second part of this research investigates the use of two mechanisms to improve

the robustness of the PNAND circuit architecture. One is the use of forward and reverse body biases to change the device threshold and the other is the use of RRAM

devices for low voltage operation.

The third part of this research focused on the design of flip-flops with non-volatile

storage. Spin-transfer torque magnetic tunnel junctions (STT-MTJ) are integrated

with both conventional D-flipflop and the PNAND circuits to implement non-volatile

logic (NVL). These non-volatile storage enhanced flip-flops are able to save the state of

system locally when a power interruption occurs. However, manufacturing variations

in the STT-MTJs and in the CMOS transistors significantly reduce the yield, leading

to an overly pessimistic design and consequently, higher energy consumption. A

detailed analysis of the design trade-offs in the driver circuitry for performing backup

and restore, and a novel method to design the energy optimal driver for a given yield is

presented. Efficient designs of two nonvolatile flip-flop (NVFF) circuits are presented,

in which the backup time is determined on a per-chip basis, resulting in minimizing

the energy wastage and satisfying the yield constraint. To achieve a yield of 98%,

the conventional approach would have to expend nearly 5X more energy than the

minimum required, whereas the proposed tunable approach expends only 26% more

energy than the minimum. A non-volatile threshold gate architecture NV-TLFF are

designed with the same backup and restore circuitry in 65nm technology. The embedded

logic in NV-TLFF compensates performance overhead of NVL. This leads to the

possibility of zero-overhead non-volatile datapath circuits. An 8-bit multiply-and-

accumulate (MAC) unit is designed to demonstrate the performance benefits of the

proposed architecture. Based on the results of HSPICE simulations, the MAC circuit

with the proposed NV-TLFF cells is shown to consume at least 20% less power and

area as compared to the circuit designed with conventional DFFs, without sacrificing

any performance.
ContributorsYang, Jinghua (Author) / Vrudhula, Sarma (Thesis advisor) / Barnaby, Hugh (Committee member) / Cao, Yu (Committee member) / Seo, Jae-Sun (Committee member) / Arizona State University (Publisher)
Created2018