Digital Commons Network^™

Seducing Engagement: A Classic Grounded Theory Study Of Virtual Leadership, Linda Sue Schurch

Walden Dissertations and Doctoral Studies

Leading at a distance has emerged concurrently with complex global changes, resulting in the diverse use of technology, virtual teams, and collaboration as a way of solving problems and growing innovative and successful organizations. Little research has been done to explore the perceptions of individuals who lead virtual organizations. In the absence of such research, little is known about effective leadership processes in virtual environments. The purpose of this grounded theory study was to discover an explanatory theory, derived from data, which facilitates an understanding of effective virtual leadership systems and processes. This study used classic grounded theory methodology involving …

Reforms In Relation To Research-Based Theories Resulting In Successful Test Results, Veronica Renee Christian

Walden Dissertations and Doctoral Studies

The study school in Bibb County, Georgia had a passing rate of approximately 60% on 9th grade literature and composition End of Course Tests (EOCT). An instructional paradigm was needed to help provide quality instruction and facilitate students' efforts to meet the mandate for performance. Research supports differentiated instruction (DI), instructional technology (IT), Gardner's multiple intelligences, and Vygotsky's theory of constructivism as the foundation for quality instruction. This ex post facto study used a cluster sample to explore 2 questions. One research questions explored the effect of DI enhanced with IT on students' learning in 9th grade literature and composition …

2015-2016 Undergraduate Course Description, Rochester Institute Of Technology

RIT Digital Archives

No abstract provided.

Restructuring High School Science Curriculum: A Program Evaluation, Cathy Robertson

Walden Dissertations and Doctoral Studies

One rural Midwestern high school discovered a discrepancy among school, state, and national science skill attainment, verified by ACT scores. If students do not acquire vital science skills, they may not perform proficiently on science tests, thus impacting future college options. Inquiry based instruction and constructivism provided the basis for the theoretical framework. This study questioned associations between ACT scores, inquiry science technique usage, and ACT standard usage (Phase 1), and teachers' views on science instruction (Phase 2). This sequential explanatory mixed methods program evaluation included 469 ACT scores, surveys sent to 9 science teachers, and 8 interviews. Phase 1 …

China's Ip Protection Minefield: Separating Fact From Fiction, David Llewelyn, Peter J. Williamson

Research Collection Yong Pung How School Of Law

China is the key emerging market for international technology companies. Smart, well-informed IP and business strategies are required if companies are to make the most of what the country has to offer.

System Integration Of Hydrogen Energy Technologies Using Renewable Energy Resources, Tarek A Mohammed Hamad

Doctoral Dissertations

"The objective of this work has two major tasks that investigation the use of CHHP system at the Missouri University of Science and Technology (Missouri S&T) campus and studying solid waste as renewable source of energy: current and future possibility in Libya. Task one has three major topics. In Topic I, Design of Combined Hydrogen, Heat and Power (CHHP) system for the campus using local resources and treated biogas can be used to generate CHHP using a Molten Carbonate Fuel Cell (MCFC). In Topic II, hydrogen recovery and cleaning system, Heat recovery and electric power usage, hydrogen compression, storage, and …

Development, Testing, And Analytical Modeling Of Fiber-Reinforced Polymer Bridge Deck Panels, Hesham R. Tuwair

Doctoral Dissertations

A fiber-reinforced, polyurethane foam core was developed, tested, and evaluated as a possible replacement for the costly honeycomb core that is currently used to manufacture fiber-reinforced polymer (FRP) bridge deck panels. Replacing these panels would reduce both initial production costs and construction times while also enhancing structural performance. Experimental, numerical, and analytical investigations were each conducted. Three different polyurethane foam (PU) configurations were used for the inner core during the study’s first phase. These configurations consisted of a high-density PU foam (Type 1), a gridwork of thin, interconnecting, glass fiber/resin webs that formed a bidirectional gridwork in-filled with a low-density …

Synthesis And Characterization Of Vanadium Oxide Nanomaterials, Tyler M. Fears

Doctoral Dissertations

"This dissertation focuses on the synthesis and characterization of vanadium oxide nanomaterials and neutron-transparent Li-ion battery electrolytes.

Vanadium oxide gels were synthesized via the epoxide-assisted gelation of VOCl₃ using epichlorohydrin in ethanol. This represents the first epoxide-assisted gelation developed for vanadium oxide gels and serves as a potential economical replacement for the fabrication of vanadium oxide gels via the hydrolysis of vanadium alkoxides. Though epoxide-assisted gelation has been demonstrated for a number of transition metal oxides, the gelation mechanism observed here for VOCl₃ appears to be unique.

While investigating the electrochemical and structural properties of lithium vanadates, it …

Crowdsourcing Bicycle Volumes: Exploring The Role Of Volunteered Geographic Information And Established Monitoring Methods, Greg P. Griffin, Junfeng Jiao

Research Collection College of Integrative Studies

The recent interest in performance measures and new bicycle infrastructure development has triggered rapid advancements in monitoring methods for active transportation, but comprehensive monitoring programs for the bicycle mode are far from ubiquitous. This study evaluates the use of GPS survey data and a new crowdsourced volume dataset that may offer promise to extend the reach of limited counting programs. The authors integrated count data from 5 separate trail locations in Austin, Texas, with a previous survey using the CycleTracks smartphone app, and a new data product derived from a larger-scale use of the Strava fitness app. New crowdsourced methods …

Automated Daily Pattern Filtering Of Measured Building Performance Data, Clayton Miller, Zoltán Nagy, Arno Schlueter

Research Collection College of Integrative Studies

The amount of sensor data generated by modern building systems is growing rapidly. Automatically discovering the structure of diurnal patterns in this data supports implementation of building commissioning, fault detection and retrofit analysis techniques. Additionally, these data are crucial to informing design professionals about the efficacy of their assumptions and strategies used in performance prediction simulation models. In this paper, we introduce DayFilter, a day-typing process that uses Symbolic Aggregate approXimation (SAX), motif and discord extraction, and clustering to detect the underlying structure of building performance data. Discords, or infrequent daily patterns, are filtered and tagged for deeper, detailed analysis …

Detection, Identification And Localization Of R/C Electronic Devices Through Their Unintended Emissions, Vivek Thotla

Doctoral Dissertations

"The accurate and reliable detection of unintended emissions from radio receivers has a broad range of commercial and security applications. This thesis presents detection, identification, and localization methods for multiple RC electronic devices in a realistic environment. First, a Hurst parameter based detection method for super-regenerative receivers (SRR) has been used for detection. Hurst parameter based detection method exploits a self-similarity property of the SRR receiver emissions to distinguish it from background noise. Second paper presents a novel detection and localization scheme of multiple RC electronic devices called Edge-Synthetic Aperture Radar (Edge-SAR). It employs cost-effective, mobile antenna-array detectors. Two types …

Cell Infiltration Into A 3d Electrospun Fiber And Hydrogel Hybrid Scaffold Implanted In The Brain, Christopher J. Rivet, Kun Zhou, Ryan J. Gilbert, David I. Finkelstein, John S. Forsythe

Chemical and Biochemical Engineering Faculty Research & Creative Works

Tissue engineering scaffolds are often designed without appropriate consideration for the translational potential of the material. Solid scaffolds implanted into central nervous system (CNS) tissue to promote regeneration may require tissue resection to accommodate implantation. Or alternatively, the solid scaffold may be cut or shaped to better fit an irregular injury geometry, but some features of the augmented scaffold may fail to integrate with surrounding tissue reducing regeneration potential. To create a biomaterial able to completely fill the irregular geometry of CNS injury and yet still provide sufficient cell migratory cues, an injectable, hybrid scaffold was created to present the …

Evaluation Of Oxidization Of Crumb Rubber-Modified Asphalt During Short-Term Aging, Amir Ghavibazoo, Magdy Abdelrahman, Mohyeldin Ragab

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Asphalt binder is subjected to aging during the construction process and service life of pavement. Aging substantially changes the chemical composition and physical properties of asphalt and leads to premature distresses on pavement. It is speculated that crumb rubber modifier (CRM) reduces the susceptibility of asphalt to aging, but its mechanism is not fully understood. Also, the impact of interaction parameters and exchange of components on the aging behavior of a crumb rubber-modified binder is not fully understood. In this study, the effect of CRM on the short-term aging of asphalt was investigated through an analysis of the distinctions between …

Elastic Personalized Nonfunctional Attribute Preference And Trade-Off Based Service Selection, Kenneth K. Fletcher, Xiaoqing F. Liu, Mingdong Tang

Computer Science Faculty Research & Creative Works

For service users to get the best service that meet their requirements, they prefer to personalize their nonfunctional attributes, such as reliability and price. However, the personalization makes it challenging for service providers to completely meet users' preferences, because they have to deal with conflicting nonfunctional attributes when selecting services for users. With this in mind, users may sometimes want to explicitly specify their trade-offs among nonfunctional attributes to make their preferences known to service providers. In this article, we present a novel service selection method based on fuzzy logic that considers users' personalized preferences and their trade-offs on nonfunctional …

Exploring How Social Media Can Be Used To Promote Space Awareness: A Case Study Of The Yuri's Night Web 2.0, Alan Steinberg, Jeffrey Alles, Ryan L. Kobrick

Publications

Despite the importance of social media as an inexpensive and efficient means of communication, it is not clear to what degree space advocacy groups are making a strong organized effort to use the resources available to them. Moreover, there is no previous literature that specifically examines the use of social media tools by space organizations. This study seeks to start a larger dialog regarding how the space advocacy community can make use of these tools to promote their mission. Using a case study approach, this article focuses specifically on the organization of Yuri’s Night to explore how this group is …

Optimization Based Control Design Techniques For Distributed Parameter Systems, Manoj Kumar

Doctoral Dissertations

"The study presents optimization based control design techniques for the systems that are governed by partial differential equations. A control technique is developed for systems that are actuated at the boundary. The principles of dynamic inversion and constrained optimization theory are used to formulate a feedback controller. This control technique is demonstrated for heat equations and thermal convection loops. This technique is extended to address a practical issue of parameter uncertainty in a class of systems. An estimator is defined for unknown parameters in the system. The Lyapunov stability theory is used to derive an update law of these parameters. …

Possession As A Natural Right, Thomas W. Merrill

Faculty Scholarship

What follows is, I hope, a tribute both to Friedrich Hayek, for whom this lecture series is named, and Richard Epstein, who was kind enough to invite me to give the lecture. Hayek has long been an inspiration for his insights about the advantages of decentralized decision making and the importance of information in understanding design of institutions. Both are recurring themes in my own work. Richard was my teacher at the University of Chicago Law School and has been a guiding light ever since. His works on nuisance law, takings, and the public trust doctrine, among others, have had …

Efficient Skin Segmentation Via Neural Networks: Hp-Elm And Bd-Som, C. Swaney, A. Akusok, K. M. Björk, Y. Miche, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Presents Two Novel Methods for Skin Detection: Hp-Elm and Bd-Som. Both Som and Elm Are Fast for Large Data Sets, But Not Yet Suitable for Big Data. We Show How They Can Be Improved in Order to Fulfill the Strict Requirements for Big Data. Both New Methods Are Described and their Implementations Are Explained. a Comparison on a Large Example is Presented in the Experiment Section. We Find that Bd-Som is More Accurate but Not as Computationally Efficient as Hp-Elm. as a Result, We Show that Both Methods Work Well on a Big Data Task. the Given Task …

High-Performance Extreme Learning Machines: A Complete Toolbox For Big Data Applications, Anton Akusok, Kaj Mikael Bjork, Yoan Miche, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Presents a Complete Approach to a Successful Utilization of a High-Performance Extreme Learning Machines (Elms) Toolbox for Big Data. It Summarizes Recent Advantages in Algorithmic Performance; Gives a Fresh View on the Elm Solution in Relation to the Traditional Linear Algebraic Performance; and Reaps the Latest Software and Hardware Performance Achievements. the Results Are Applicable to a Wide Range of Machine Learning Problems and Thus Provide a Solid Ground for Tackling Numerous Big Data Challenges. the Included Toolbox is Targeted at Enabling the Full Potential of Elms to the Widest Range of Users.

Extreme Learning Machine On High Dimensional And Large Data Applications, Zhiping Lin, Jiuwen Cao, Tao Chen, Yi Jin, Zhan Li Sun, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

Particle Swarm Optimization Based Selective Ensemble Of Online Sequential Extreme Learning Machine, Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

A Novel Particle Swarm Optimization based Selective Ensemble (PSOSEN) of Online Sequential Extreme Learning Machine (OS-ELM) is Proposed. It is based on the Original OS-ELM with an Adaptive Selective Ensemble Framework. Two Novel Insights Are Proposed in This Paper. First, a Novel Selective Ensemble Algorithm Referred to as Particle Swarm Optimization Selective Ensemble is Proposed, noting that PSOSEN is a General Selective Ensemble Method Which is Applicable to Any Learning Algorithms, Including Batch Learning and Online Learning. Second, an Adaptive Selective Ensemble Framework for Online Learning is Designed to Balance the Accuracy and Speed of the Algorithm. Experiments for Both …

Dynamic Behavior Of Operational Wind Turbines Considering Aerodynamic And Seismic Load Interaction, Mohammad-Amin Asareh

Doctoral Dissertations

"With the advancements in the wind energy production industry, the demand for a cost effective and safe design of wind turbine structures is growing rapidly. The wide deployment of wind turbines in locations with high seismic hazard has lead engineers to take into account a more comprehensive seismic design of such structures. In response to the need for a computational tool that can perform coupled simulations of wind and seismic loads, a seismic module has been developed for the publicly available National Renewable Energy Laboratory (NREL) code, FAST, at the first step of this research. This achievement allows engineers working …

Advancements In Uncertainty Quantification With Stochastic Expansions Applied To Supersonic And Hypersonic Flows, Thomas Kelsey West Iv

Doctoral Dissertations

"The primary objective of this study was to develop improved methodologies for efficient and accurate uncertainty quantification with stochastic expansions and apply them to problems in supersonic and hypersonic flows. Methods introduced included approaches for efficient dimension reduction, sensitivity analysis, and sparse approximations. These methods and procedures were demonstrated on multiple stochastic models of hypersonic, planetary entry flows, which included high-fidelity, computational fluid dynamics models of radiative heating on the surface of hypersonic inflatable aerodynamic decelerators during Mars and Titan entry. For these stochastic problems, construction of an accurate surrogate model was achieved with as few as 10% of the …

Performance Analysis And Modelling Of Hybrid Photovoltaic-Thermal Solar Panels, Nicole C. Annis

Doctoral Dissertations

A photovoltaic-thermal (PVT) panel was constructed, tested, and modelled using both MATLAB and TRNSYS. During the experimental testing, which took place on the Missouri University of Science and Technology campus in Rolla, Missouri; two identical PVT panels were tested alongside two PV panels to gather an electrical baseline for comparison. Approximately 69 days’ worth of data were of data were collected during the summer of 2014. The PV electrical, PVT electrical, PVT thermal and PVT combined (electrical and thermal) efficiencies were 3.5-5.6%, 3.4-5.4%, 20.9-11.6%, and 24.3-17.0%, respectively.

A MATLAB program was developed using existing equations for one-dimensional, quasi-steady model of …

Stability Design Criteria And Volt Var Control For Distribution System With Single Phase Solid State Transformers, Darshit Girishchandra Shah

Doctoral Dissertations

Due to recent advancements in semiconductor technology, power electronic converters for high voltage, high power, and high frequency applications will soon be commercially available. Conventional single phase distribution transformers are replaced by solid state transformers (SST) in a distribution test system to investigate their interactive dynamics. Under certain circumstances, instabilities due to harmonic resonance are observed. A design criterion for solid state transformer during no load conditions has been proposed in order to avoid instability using an impedance-based analysis. Stability assessment is also extended to include the impact of distribution system voltages and system wide impedance analysis. It is shown …

Describing Local Community Acceptance With Discrete Choice Theory For Enhanced Community Engagement, Sisi Que

Doctoral Dissertations

This research sought to facilitate improved community (stakeholder) analysis by providing further insight on the determinants of local community acceptance using discrete choice theory. Specifically, the goals were to: (1) Identify, classify, and verify the important project characteristics and key demographic factors which affect local community acceptance of a mining project; (2) Account for the large number of relevant factors inherent in discrete choice experiments for mining community acceptance evaluation; and (3) Examine discrete choice models to select the most appropriate model for mining community consultation. The research will test the hypotheses that various discrete choice models can describe the …

Investigation Of Lost Circulation Materials Impact On Fracture Gradient, Mortadha Turki Alsaba

Doctoral Dissertations

"Lost circulation is a challenging problem to be prevented or mitigated during drilling. Lost circulation treatments are widely applied to mitigate losses using a corrective approach or to prevent losses using preventive approaches, also known as "wellbore strengthening". The disagreement among the different wellbore strengthening theories and the lack of understanding the strengthening mechanism resulted in the absence of a standardized method to evaluate the effectiveness of lost circulation materials (LCM) for wellbore strengthening application.

An extensive experimental investigation was performed by constructing a high pressure LCM test apparatus to investigate the effects of different parameters on the sealing efficiency …

Linear Precoding For The Mimo Multiple Access Channel With Finite Alphabet Inputs And Statistical Csi, Yongpeng Wu, Chao Kai Wen, Chengshan Xiao, Xiqi Gao, Robert Schober

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we investigate the design of linear precoders for the multiple-input-multiple-output (MIMO) multiple access channel (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider the problem under the practical finite alphabet input assumption. First, we derive an asymptotic (in the large system limit) expression for the weighted sum rate (WSR) of the MIMO MAC with finite alphabet inputs and Weichselberger's MIMO channel model. Subsequently, we obtain the optimal structures of the linear precoders of the users maximizing the asymptotic WSR and an iterative algorithm for determining the precoders. We show that …

A Longitudinal Study Of Students' Reasoning About Variation In Distributions In An Introductory College Statistics Course, Rachel Marie Chaphalkar

Graduate Student Theses, Dissertations, & Professional Papers

Current curricular documents including the Common Core State Standards (2010) and the Guidelines for Assessment and Instruction in Statistics Education (2005) have increased the need for students' understanding and reasoning about statistics at both the K-12 and college levels. In addition, an increasing number of students are taking the Advanced Placement Statistics Exam (College Board, 2011) or a college-level introductory statistics course (Scheaffer & Stasny, 2000). One of the main components for statistical thinking is consideration of variation (Wild & Pfannkuch, 1999). Previous studies have shown that students have misconceptions about variation (e.g. Reading, 2004; Torok & Watson, 1999) and …

Dispersion Characteristics Analysis Of One Dimensional Multiple Periodic Structures And Their Applications To Antennas, Zi Long Ma, Li (Lijun) Jun Jiang, Shulabh Gupta, Wei E.I. Sha

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a general characterization of one dimensional multiple periodic (MP) structures for electromagnetic transmission and radiation. Studies are conducted from three aspects: Firstly, the dispersion relations of non-dispersive (conventional) and dispersive (composite right/left-handed (CRLH)) materials are analyzed. Regarding each category of materials, detailed analyses for distributed layered media and lumped circuits are presented. Through studies, we found that the periodicity increase opens up multiple stopbands. According to our physical explanations and numerical results, the relation between stopbands and periodicity is clarified. Additionally, the periodicity increase also reduces the separation distance of space harmonic modes along the phase constant …