Digital Commons Network^™

Exploring Customer Specific Kpi Selection Strategies For An Adaptive Time Critical User Interface, Ingo Keck, Robert J. Ross

Conference papers

Rapid growth in the number of measures available to describe customer-organization relationships has presented a serious challenge for Business Intelligence (BI) interface developers as they attempt to provide business users with key customer information without requiring users to painstakingly sift through many interface windows and layers. In this paper we introduce a prototype Intelligent User Interface that we have deployed to partially address this issue. The interface builds on machine learning techniques to construct a ranking model of Key Performance Indicators (KPIs) that are used to select and present the most important customer metrics that can be made available to …

Robustness And Prediction Accuracy Of Machine Learning For Objective Visual Quality Assessment, Andrew Hines, Paul Kendrick, Adriaan Barri, Manish Narwaria, Judith A. Redi

Conference papers

Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. Nevertheless, the reliability of ML-based techniques within objective quality assessment metrics is often questioned. In this study, the robustness of ML in supporting objective quality assessment is investigated, specifically when the feature set adopted for prediction is suboptimal. A Principal Component Regression based algorithm and a Feed Forward Neural Network are compared when pooling the Structural Similarity Index (SSIM) features perturbed with noise. The neural network adapts better with …

Computing Trust As A Form Of Presumptive Reasoning, Pierpaolo Dondio, Luca Longo

Conference papers

This study describes and evaluates a novel trust model for a range of collaborative applications. The model assumes that humans routinely chose to trust their peers by relying on few recurrent presumptions, which are domain independent and that form a recognisable trust expertise. We refer to these presumptions as trust schemes, the specialised version of Walton’s argumentation schemes. Experimental evidence is provided about trust schemes efficacy with a detailed experiment over an online community of 80.000 members. Results show how proposed trust schemes are more effective in trust computation when they are combined together and when their plausibility in the …

Learning To Pronounce First Words In Three Languages: An Investigation Of Caregiver And Infant Behavior Using A Computational Model Of An Infant., Ian S. Howard, Piers Messum

School of Engineering, Computing and Mathematics

Words are made up of speech sounds. Almost all accounts of child speech development assume that children learn the pronunciation of first language (L1) speech sounds by imitation, most claiming that the child performs some kind of auditory matching to the elements of ambient speech. However, there is evidence to support an alternative account and we investigate the non-imitative child behavior and well-attested caregiver behavior that this account posits using Elija, a computational model of an infant. Through unsupervised active learning, Elija began by discovering motor patterns, which produced sounds. In separate interaction experiments, native speakers of English, French and …

On Quaternion Based Parametrization Of Orientation In Computer Vision And Robotics, G. Terzakis, P. Culverhouse, G. Bugmann, S. Sharma, R. Sutton

School of Engineering, Computing and Mathematics

No abstract provided.

Techniques For Production Of Large Area Graphene For Electronic And Sensor Device Applications, B Li, G Pan, Sa Awan, N Avent

School of Engineering, Computing and Mathematics

AbstractHere we review commonly used techniques for the production of large area and high quality graphene to meet the requirements of industrial applications, including epitaxial growth on SiC, chemical vapour deposition (CVD) on transition metals and growth from solid carbon source. The review makes a comparison of the growth mechanisms, quality (such as mobility and homogeneity) and properties of the resultant graphene, limitations and the prospect of each production method. A particular focus of the review is on direct (transfer free) growth on dielectric substrate as this is potentially one of the promising techniques for graphene production which can readily …

Crystallization In Nano-Confinement Seeded By A Nanocrystal -- A Molecular Dynamics Study, Heng Pan, Costas Grigoropoulos

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Seeded crystallization and solidification in nanoscale confinement volumes have become an important and complex topic. Due to the complexity and limitations in observing nanoscale crystallization, computer simulation can provide valuable details for supporting and interpreting experimental observations. In this article, seeded crystallization from nano-confined liquid, as represented by the crystallization of a suspended gold nano-droplet seeded by a pre-existing gold nanocrystal seed, was investigated using molecular dynamics simulations in canonical (NVT) ensemble. We found that the crystallization temperature depends on nano-confinement volume, crystal orientation, and seed size as explained by classical two-sphere model and Gibbs-Thomson effect.

Verifiable Frequency-Limited Adaptive Control Performance Based On Linear Matrix Inequalities, Mario Luca Fravolini, Tansel Yucelen, Daniel Wagner, Ali Albattat, Paolo Valigi

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Adaptive controllers are often criticized for the lack of clear and easy verification procedures that relate design parameters to time domain performance especially during transients. For this reason, it is a challenge to rigorously certify existing adaptive control algorithms. To that end, we propose a validation framework where stability and performance requirements are formulated in terms of Linear Matrix Inequalities. This brings the advantage that adaptive controller design and verification can be analyzed and optimized via the solution of a convex optimization whose objective is to guarantee the evolution of the error components within an a-priori specified domain. This approach …

A Fault Prediction Scheme For Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables And Disturbance, Balaje T. Thumati, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

As explained in the literature, it is very hard to measure premise variables of a Takagi-Sugeno (TS) fuzzy system. Therefore, in this paper, a fault detection and prediction (FDP) scheme is designed for a class of TS fuzzy systems with immeasurable (unknown) premise variables and external disturbances. A fault detection (FD) observer is designed to approximate the system output and the premise variables. Subsequently, a FD residual is generated by comparing the observer output with respect to the system output. The FD residual is evaluated to detect any faults in the system. Further, time-to-failure (TTF) of the TS fuzzy system …

Optimal Switching Of Nonlinear Systems With Free Mode Sequence, Ali Heydari, S. N. Balakrishnan

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Approximate dynamic programming is utilized in this study to develop solutions for optimal switching problems. The order of the active subsystems and the number of switches are free, and an online solution is developed that produces optimal performance. Motivated by the development in the adaptive critic's literature, the proposed method uses a critic and as many actors as the number of subsystems in order to conduct optimal scheduling in real-time based on the instantaneous states of the system. It is observed that once the neural networks are trained offline based on the proposed algorithm, they provide solutions for a range …

Fixed Final-Time Near Optimal Regulation Of Nonlinear Discrete-Time Systems In Affine Form Using Output Feedback, Qiming Zhao, Hao Xu, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the fixed final-time near optimal output regulation of affine nonlinear discrete-time systems with unknown system dynamics is considered. First, a neural network (NN)-based observer is proposed to reconstruct both the system state vector and control coefficient matrix. Next, actor-critic structure is utilized to approximate the time-varying solution of the Hamilton-Jacobi-Bellman (HJB) equation or value function. To satisfy the terminal constraint, a new error term is defined and incorporated in the NN update law so that the terminal constraint error is also minimized over time. A NN with constant weights and time-dependent activation function is employed to approximate …

Combustion Visualization And Particulate Matter Emission Of A Gdi Engine By Using Gasoline And E85, Po-I Lee

Wayne State University Dissertations

In order to increase engine efficiency as well as to reduce emission, optimizing combustion is always the challenge in research and product development. Gasoline direct injection (GDI) engines have been popularized due to its higher power density, fuel efficiency, and the possibility for advanced engine technologies over conventional port-fuel-injection (PFI) gasoline engines. However, many issues are heavily investigated, such as air-fuel mixing preparation, fuel wall-wetting, higher HC and PM emissions, catalytic convertor efficiency, knocking, and pre-ignition. Besides, advanced technologies represent higher production cost.

Because of the limited resource of petroleum-based fuels, ethanol is deemed as the alternative fuel for gasoline …

Weak Decay Studies From An Effective Theory Standpoint, Aditya Yechan Gunja

Wayne State University Dissertations

In this doctoral dissertation I discuss the phenomenology of some weak interaction decays using a model independent approach by employing effective field theories. I discuss the soft photon contribution and background effect to the rare dimuonic decay of the neutral B meson. I also study some radiative exclusive W boson decays in the standard model in the context of pQCD and SCET. Additionally I invoke leptonic decays of charged mesons to constrain two general models of light dark matter.

Coupled Sediment Yield And Sediment Transport Model To Support Navigation Planning In Northeast Brazil, Calvin Trebor Creech

Wayne State University Dissertations

Deposition of sediment (shoaling) in commercial waterways is a major obstacle to maintaining sustainable riverine transportation of bulk goods (primarily agricultural and mining commodities). The rate of aggradation of sediment in a waterway is directly related to both the rate of sediment erosion from upland and river bank sources (sediment yield) and the energy in the river to effectively transport the sediment through the waterway system (sediment transport). Historically, methods used for waterway development have included trial and error or rules of thumb associated with river training structures and chute cut-off canals or engineering of navigation locks and dams. More …

Theoretical And Experimental Studies Of Noncovalent Metal Cation Binding And Base Pairing Interactions Of Cytosine And Modified Cytosines, Bo Yang

Wayne State University Dissertations

ABSTRACT

THEORETICAL AND EXPERIMENTAL STUDIES OF NONCOVALENT METAL CATION BINDING AND BASE PARING INTERACTIONS OF CYTOSINE AND MODIFIED CYTOSINES

by

BO YANG

December 2014

Advisor: Professor Mary T. Rodgers

Major: Analytical Chemistry

Degree: Doctor of Philosophy

Binding of metal cations to the nucleobases can lead to formation of rare tautomers of the nucleobases. The infrared multiple photon dissociation (IRMPD) action spectroscopy of five alkali metal cation-cytosine complexes, M⁺(cytosine), where M⁺ = Li⁺, Na⁺, K⁺, Rb⁺, and Cs⁺, are examined using a Fourier transform ion cyclotron resonance mass …

Synthesis And Characterization Of Discrete Fexni2-Xp Nanoparticles; Assembly Of Phosphide Nanoparticles Into Porous Networks, Asha Hitihami Mudiyanselage

Wayne State University Dissertations

This dissertation research is focused on synthesis, characterization and assembly of metal phosphide nanoparticles of relevance to catalysis, magnetism, and optoelectronic applications. These include (1) synthesis of discrete FexNi2-xP ternary nanocrystals of relevance to hydrodesulfurization (HDS) catalysis and magnetism, and (2) 3-dimensional nanostructures (gels and aerogels) of InP and Ni2P.

A three-step solution-phase arrested precipitation method was employed for bimetallic nanocrystal synthesis. The synthesis of nanocrystals involves preparation of amorphous NixPy amorphous particles, introduction of the Fe precursor to form amorphous Fe-Ni-P particles, and high temperature conversion of Fe-Ni-P particles into crystalline ternary phosphide nanocrystals. Ternary FexNi2-xP nanocrystals crystalize in …

Analysis Of A Dual Scissored-Pair,Variable-Speed, Control Moment Gyroscope Driven Spherical Robot, Richard Chase

Wayne State University Dissertations

The objective of this research is to compare barycenter offset based designs of spherical robots to control moment gyroscope (CMG) based designs in order to determine which approach is most effective. The first objective was to develop a list of current state of the art designs in order to gain an overall understanding of what the obstacles in this area of research were. The investigation showed that barycenter offset designs can produce a low, continuous output torque, whereas CMG based designs can usually only produce a high, momentary output torque. The second objective was to develop a CMG based design …

Inclusive Education For Students With Emotional Impairments: Factors For Success, Jessica Cohen

Wayne State University Dissertations

Special education policy and practice are ever evolving to best meet the needs of all students in an inclusive environment. Since the implementation the Individuals with Disabilities Education Act (IDEA) thirty years ago, students with special needs have moved from restrictive, exclusionary placements to being educated alongside their same aged non-disabled peers. As we have moved towards viewing special education as a service, not a place, including more students with disabilities in the general education setting and curriculum has become the expected practice in the majority of public schools in the United States. Despite this progress, students with emotional impairments …

The Role Of Academic Factors, Self-Efficacy, Mentoring Relationships, And Learning Communities In Persistance And Academic Success Of Freshmen College Students, Stefanie Theresia Baier

Wayne State University Dissertations

Many U.S. universities are concerned with student retention. The current study surveyed 237 first time college students at a Midwestern university to determine the extent to which social-cognitive factors, such as high school GPA, ACT scores, first semester college GPA, college self-efficacy and perceptions of mentorship support influence freshmen's intent to persist and academic success.

Pearson Correlations, Standard Multiple Regression Analyses, PROCESS for Mediation and Moderation, and a MANOVA were performed. The study's findings show that college self-efficacy and perceptions of mentorship were the strongest predictors for intentions to persist past the first college semester. High school GPA was the …

Nanostrucured Lithium Iron Phosphate As Cathode Material For Lithium Ion-Batteries, Khadije Bazzi

Wayne State University Dissertations

Lithium-ion batteries are the power source of choice for portable electronics, power tools and electric-based transportation. This outstanding commercial success has spawned great international interest in applying this technology to systems that demand higher power, such as the electric component of hybrid, extended range, and electric vehicles. This would require new electrode materials that are less expensive, more energetic, and more environmentally friendly than the present ones. Of particular interest is the olivine-structured LiFePO4 cathode developed by Goodenough and co-workers, which offers several appealing features, such as a high, flat voltage profile and relatively high theoretical specific capacity (170 mAhg−1), …

Interaction Of Positrons And Electrons With Atoms, Robert D. Dubois

Physics Faculty Research & Creative Works

Progress in differential studies of ionization resulting from positron and electron impact being performed at the Missouri University of Science and Technology is described. Examples of doubly and triply (fully) differential single ionization data for the ejected electron and the scattered projectile channels are presented. Energy loss data for double ionization, plus estimates for the first-order interaction, shake off, SO, and TS1, are also presented.

Scale-Up And On-Line Monitoring Of Gas-Solid Systems Using Advanced And Non-Invasive Measurement Techniques, Muthanna H. Al-Dahhan, Shreekanta Aradhya, Faraj Zaid, Neven Ali, Thaar Aljuwaya

Chemical and Biochemical Engineering Faculty Research & Creative Works

Industry relies on gas-solid systems for numerous processes. Flow dynamics play an important role in achieving the desired results. The present study proposes, validates and demonstrates a novel mechanistic scale-up approach based on maintaining similar radial profile or cross sectional distribution of gas holdup in two different gas-solid systems in order to achieve hydrodynamics similarity using advanced measurement techniques. This new methodology for scale-up and design has been implemented on gas-solid spouted bed which has been used for drying, granulation and coating. The development can be extrapolated to other gas-solid systems encountered in phosphate processes.

Mapreduce Based Parallel Suffix Tree Construction For Human Genome, Umesh Chandra Satish, Praveenkumar Kondikoppa, Seung Jong Park, Manish Patil, Rahul Shah

Computer Science Faculty Research & Creative Works

Genome indexing is the basis for many bioinformatics applications. Read mapping (sequence alignment) is one such application where the goal is to align millions of short reads against reference genome. Several tools are available for read mapping which rely on different indexing techniques to expedite the alignment process. However, many of these contemporary alignment programs are sequential, memory intensive and cannot be easily scaled for larger genomes. Suffix tree is one of the most widely used data structures for indexing strings (genomes). Building a scalable suffix-tree based tool is particularly challenging due to the difficulties involved in parallel construction of …

Mapreduce-Based Restmd: Enabling Large-Scale Sampling Tasks With Distributed Hpc Systems, Praveenkumar Kondikoppa, Richard Platania, Seung Jong Park, Tom Keyes, Jaegil Kim, Nayong Kim, Joohyun Kim, Shuju Bai

Computer Science Faculty Research & Creative Works

A novel implementation of Replica Exchange Statistical Temperature Molecular Dynamics (RESTMD), belonging to a generalized ensemble method and also known as parallel tempering, is presented. Our implementation employs the MapReduce (MR)-based iterative framework for launching RESTMD over high performance computing (HPC) clusters including our test bed system, Cyber-infrastructure for Reconfigurable Optical Networks (CRON) simulating a network-connected distributed system. Our main contribution is a new implementation of STMD plugged into the well-known CHARMM molecular dynamics package as well as the RESTMD implementation powered by the Hadoop that scales out in a cluster and across distributed systems effectively. To address challenges for …

Impact Of Loss Synchronization On Reliable High Speed Networks: A Model Based Simulation, Suman Kumar, Lin Xue, Seung Jong Park

Computer Science Faculty Research & Creative Works

Contemporary nature of network evolution demands for simulation models which are flexible, scalable, and easily implementable. In this paper, we propose a fluid-based model for performance analysis of reliable high-speed networks. In particular, this paper aims to study the dynamic relationship between congestion control algorithms and queue management schemes, in order to develop a better understanding of the causal linkages between the two. We propose a loss synchronization module which is user configurable. We validate our model through simulations under controlled settings. Also, we present a performance analysis to provide insights into two important issues concerning 10 Gbps high speed …

Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations, Ayşegül Toptal, Haşim Özlü, Dinçer Konur

Engineering Management and Systems Engineering Faculty Research & Creative Works

Carbon emission regulation policies have emerged as mechanisms to control firms' carbon emissions. To meet regulatory requirements, firms can make changes in their production planning decisions or invest in green technologies. In this study, we analyze a retailer's joint decisions on inventory replenishment and carbon emission reduction investment under three carbon emission regulation policies. Particularly, we extend the economic order quantity model to consider carbon emissions reduction investment availability under carbon cap, tax and cap-and-trade policies. We analytically show that carbon emission reduction investment opportunities, additional to reducing emissions as per regulations, further reduce carbon emissions while reducing costs. We …

Our Graduates - Their Success, Institute For Educational Development

Institute for Educational Development Pakistan (IED-PK) Archives

This publication captures narratives shared by our graduates on their experiences at AKU-IED, their thoughts on education in the East African region, and on how the University has helped them in shaping their current careers.

Personalizing Software Development Practice Using Mastery-Based Coaching, Chris Boesch, Sandra Boesch

Research Collection School Of Computing and Information Systems

The authors previously developed a system to facilitate the self-directed learning and practicing of software languages in Singapore. One of the goals of this self-directed learning was to enable the development of student mentors who would then be able to assist other students during classroom sessions. Building on this work, the authors extended the platform to support personalized coaching with the goals of further enabling and preparing students to mentor their peers. This paper covers the challenges, insights, and features that were developed in order to develop and deploy this mastery-based coaching feature.

Online Portfolio Selection: A Survey, Bin Li, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Online portfolio selection is a fundamental problem in computational finance, which has been extensively studied across several research communities, including finance, statistics, artificial intelligence, machine learning, and data mining. This article aims to provide a comprehensive survey and a structural understanding of online portfolio selection techniques published in the literature. From an online machine learning perspective, we first formulate online portfolio selection as a sequential decision problem, and then we survey a variety of state-of-the-art approaches, which are grouped into several major categories, including benchmarks, Follow-the-Winner approaches, Follow-the-Loser approaches, Pattern-Matching--based approaches, and Meta-Learning Algorithms. In addition to the problem formulation …

Measuring And Modelling The Thermal Performance Of The Tamar Suspension Bridge Using A Wireless Sensor Network, Nicholas De Battista, James M. W. Brownjohn, Hwee-Pink Tan, Ki Young Koo

Research Collection School Of Computing and Information Systems

A study on the thermal performance of the Tamar Suspension Bridge deck in Plymouth, UK, is presented in this paper. Ambient air, suspension cable, deck and truss temperatures were acquired using a wired sensor system. Deck extension data were acquired using a two-hop wireless sensor network. Empirical models relating the deck extension to various combinations of temperatures were derived and compared. The most accurate model, which used all the four temperature variables, predicted the deck extension with an accuracy of 99.4%. Time delays ranging from 10 to 66 min were identified between the daily cycles of the air temperature and …