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Erratum To: "Evaluating Green Supplier Development Programs At A Telecommunications Systems Provider" [Int. J. Prod. Econ. 140 (2012) 357#1;367], Mahdi Saeedpoor, Amin Vafadarnikjoo 2016 Allameh Tabatabaie University

Erratum To: "Evaluating Green Supplier Development Programs At A Telecommunications Systems Provider" [Int. J. Prod. Econ. 140 (2012) 357#1;367], Mahdi Saeedpoor, Amin Vafadarnikjoo

Amin Vafadarnikjoo

No abstract provided.


Two Neural Network Based Decentralized Controller Designs For Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, David A. Cartes 2016 Missouri University of Science and Technology

Two Neural Network Based Decentralized Controller Designs For Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, David A. Cartes

Mariesa Crow

This paper presents two neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control signals are calculated using local signals only, the transient and overall system stabilities can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system and the interconnection terms, thus the requirements for exact system parameters are released. Simulation studies with a three machine power system demonstrate the effectiveness of the proposed controller designs.


Neural Network Based Decentralized Controls Of Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes 2016 Missouri University of Science and Technology

Neural Network Based Decentralized Controls Of Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes

Mariesa Crow

This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.


Decentralized Neural Network Control Of A Class Of Large-Scale Systems With Unknown Interconnection, Wenxin Liu, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow 2016 Missouri University of Science and Technology

Decentralized Neural Network Control Of A Class Of Large-Scale Systems With Unknown Interconnection, Wenxin Liu, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow

Mariesa Crow

A novel decentralized neural network (DNN) controller is proposed for a class of large-scale nonlinear systems with unknown interconnections. The objective is to design a DNN for a class of large-scale systems which do not satisfy the matching condition requirement. The NNs are used to approximate the unknown subsystem dynamics and the interconnections. The DNN is designed using the back stepping methodology with only local signals for feedback. All of the signals in the closed loop (system states and weights estimation errors) are guaranteed to be uniformly ultimately bounded and eventually converge to a compact set.


Damping Inter-Area Oscillations By Upfcs Based On Selected Global Measurements, Mahyar Zarghami, Yilu Liu, Jagannathan Sarangapani, Mariesa Crow 2016 Missouri University of Science and Technology

Damping Inter-Area Oscillations By Upfcs Based On Selected Global Measurements, Mahyar Zarghami, Yilu Liu, Jagannathan Sarangapani, Mariesa Crow

Mariesa Crow

This paper introduces a method of using a selected set of the global data for controlling inter-area oscillations of the power network using unified power flow controllers. This novel algorithm utilizes reduced order observers for estimating the missing data the purpose of control when all the data is unavailable through frequency measurements in a wide area control approach. The paper will also address the problem of time-delay in data acquisition through examples.


Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer, Wenxin Liu, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes 2016 Missouri University of Science and Technology

Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer, Wenxin Liu, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes

Mariesa Crow

Power system stabilizers are widely used to damp out the low frequency oscillations in power systems. In power system control literature, there is a lack of stability analysis for proposed controller designs. This paper proposes a Neural Network (NN) based stabilizing controller design based on a sixth order single machine infinite bus power system model. The NN is used to compensate the complex nonlinear dynamics of power system. To speed up the learning process, an adaptive signal is introduced to the NN's weights updating rule. The NN can be directly used online without offline training process. Magnitude constraint of ...


Adaptive Neural Network Based Stabilizing Controller Design For Single Machine Infinite Bus Power Systems, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes, Jagannathan Sarangapani, Mariesa Crow 2016 Missouri University of Science and Technology

Adaptive Neural Network Based Stabilizing Controller Design For Single Machine Infinite Bus Power Systems, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes, Jagannathan Sarangapani, Mariesa Crow

Mariesa Crow

Power system stabilizers are widely used to generate supplementary control signals for the excitation system in order to damp out the low frequency oscillations. In power system control literature, the performances of the proposed controllers were mostly demonstrated using simulation results without any rigorous stability analysis. This paper proposes a stabilizing neural network (NN) controller based on a sixth order single machine infinite bus power system model. The NN is used to approximate the complex nonlinear dynamics of power system. Unlike the other indirect adaptive NN control schemes, there is no offline training process and the NN can be directly ...


A System Dynamics Model Of The Pacific Coast Rockfish Fishery, Wayne Wakeland, Olgay Cangur, Guillermo Rueda, Astrid Scholz 2016 Portland State University

A System Dynamics Model Of The Pacific Coast Rockfish Fishery, Wayne Wakeland, Olgay Cangur, Guillermo Rueda, Astrid Scholz

Wayne W. Wakeland

This paper presents a model of the dynamic behavior of the yellowtail rockfish of the Pacific Coast of the United States. The purpose of the model is to generate endogenously the historical data for fish population, fishing vessels, regulatory parameters, and fish harvest. The model was subjected to a variety of tests to determine its sensitivity to changes in key parameters and initial values, including extreme conditions. Model results indicate that acceptable biological catch and fleet capacity must be adjusted quickly in response to changing conditions, in order to improve fishery sustainability. Additional analysis reinforces the policy of setting the ...


Prediction -- The Quintessential Policy Model Validation Test, Wayne Wakeland 2016 Portland State University

Prediction -- The Quintessential Policy Model Validation Test, Wayne Wakeland

Wayne W. Wakeland

It is essential to objectively test how well policy models predict real world behavior. The method used to support this assertion involves the review of three SD policy models emphasizing the degree to which the model was able to fit the historical outcome data and how well model-predicted outcomes matched real world outcomes as they unfolded. Findings indicate that while historical model agreement is a favorable indication of model validity, the act of making predictions without knowing the actual data, and comparing these predictions to actual data, can reveal model weaknesses that might be overlooked when all of the available ...


Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman 2016 University of Pennsylvania

Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman

Barry G Silverman

Social learning and adoption of new behavior govern the rise of a variety of behaviors: from actions as mundane as dance steps to those as dangerous as new ways to make IED detonators. However, agents in immersive virtual environments lack the ability to realistically simulate the spread of new behavior. To address this gap, a cognitive model was designed that represents the well-known socio-cognitive factors of attention, social influence, and motivation that influence learning and the adoption of a new behavior. To explore the effectiveness of this model, simulations modeled the spread of two competing memes in Hamariyah, an archetypal ...


Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan 2016 Iowa State University

Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan

Sarah M. Ryan

The adjustable robust counterpart (ARC) of an uncertain linear program extends the robust counterpart (RC) by allowing some decision variables to adjust to the realizations of some uncertain parameters. The ARC may product a less conservative solution than the RC does but cases are known in which it does not. While the literature documents some examples of cost savings provided by adjustability (particularly affine adjustability), it is not straightforward to determine in advance whether they will materialize. The affine adjustable robust counterpart, while having a tractable structure, still may be much larger than the original problem. We establish conditions under ...


Integration Of Progressive Hedging And Dual Decomposition In Stochastic Integer Programs, Ge Guo, Gabriel Hackebeil, Sarah M. Ryan, Jean-Paul Watson, David L. Woodruff 2016 Iowa State University

Integration Of Progressive Hedging And Dual Decomposition In Stochastic Integer Programs, Ge Guo, Gabriel Hackebeil, Sarah M. Ryan, Jean-Paul Watson, David L. Woodruff

Sarah M. Ryan

We present a method for integrating the Progressive Hedging (PH) algorithm and the Dual Decomposition (DD) algorithm of Carøe and Schultz for stochastic mixed-integer programs. Based on the correspondence between lower bounds obtained with PH and DD, a method to transform weights from PH to Lagrange multipliers in DD is found. Fast progress in early iterations of PH speeds up convergence of DD to an exact solution. We report computational results on server location and unit commitment instances.


Crowdsourcing Management Education Assessment, Owen P. Hall Jr, Charla Griffy-Brown 2016 Pepperdine University

Crowdsourcing Management Education Assessment, Owen P. Hall Jr, Charla Griffy-Brown

Journal of International Technology and Information Management

Assessment is now at the center of the new business education zeitgeist. This focus is the direct result of feedback from the business community regarding the growing gap between their needs and graduates from many business schools. Recently this divide has fallen under even closer scrutiny because of increasing student debt and the growing controversy over return-on- investment. Today business leaders are looking for web-savvy, problem-solving graduates. To this end, AACSB and regional accrediting bodies are calling for the adoption of comprehensive collaborative learning strategies to better align graduates’ skill sets with the real needs of business. Crowdsourcing, which is ...


Towards A Taxonomy Of Challenges In An Integrated It Governance Framework Implementation, Mathew Nicho, Suadad Muamaar 2016 Robert Gordon University

Towards A Taxonomy Of Challenges In An Integrated It Governance Framework Implementation, Mathew Nicho, Suadad Muamaar

Journal of International Technology and Information Management

The rapid adoption of IT governance (ITG) frameworks in organizations worldwide, along with the subsequent need to select and integrate overlapping ITG frameworks has presented practitioners with challenges in choice and integration of frameworks. In this respect, the purpose of this study was to explore the ITG frameworks integration (ITGFI) challenges faced by organizations worldwide; develop and test a theory-based integrated ITG challenges (IIC) taxonomy model created from extant literature; and validate and compare these with those empirically extracted from three case studies in the United Arab Emirates (UAE). The results present the audience with a taxonomy of a prioritized ...


Privacy And The Information Age: A Longitudinal View, Charles E. Downing 2016 Northern Illinois University

Privacy And The Information Age: A Longitudinal View, Charles E. Downing

Journal of International Technology and Information Management

As information systems and data storage capacity become increasingly sophisticated, an important ethical question for organizations is “What can/will/should be done with the personal information that has been and can be collected?” Individuals’ privacy is certainly important, but so is less costly and more targeted business processes. As this conflict intensifies, consumers, managers and policy makers are left wondering: What privacy principles are important to guide organizations in self-regulation? For example, do consumers view the five rights originally stated in the European Data Protection Directive as important? Comprehensive? Is there a product discount point where consumers would forsake ...


Comparative Empirical Analysis On Computer Software Piracy Behaviors Between China And The United States: An Exploratory Study, Xiang Fang, Sooun Lee 2016 Miami University

Comparative Empirical Analysis On Computer Software Piracy Behaviors Between China And The United States: An Exploratory Study, Xiang Fang, Sooun Lee

Journal of International Technology and Information Management

Using the data collected from several universities in China and the United States, which have drastically different piracy rates, economic development stages, income levels, and national cultures, this study aims to identify which demographic factors affect software piracy significantly. Totally, the dataset includes 600 valid responses. Multivariate data analysis, supported by Multivariate Analysis of Variance and Turkey’s test, reveals that among various factors, country difference and gender most significantly influence software piracy. In addition, this study offers recommendations on how to curb software piracy effectively.


An Empirical Investigation On Ceo Turnover In It Firms And Firm Performance, Peiqin Zhang, David Wierschem, Francis A. Mendez Mediavilla, Keejae P. Hong 2016 Texas State University

An Empirical Investigation On Ceo Turnover In It Firms And Firm Performance, Peiqin Zhang, David Wierschem, Francis A. Mendez Mediavilla, Keejae P. Hong

Journal of International Technology and Information Management

Drawn upon upper echelon theory and organizational theory, this research proposes to examine the impact of CEO turnover in IT firms on firm performance in terms of both sustainable accounting performance and market performance. We find that CEO turnover is a significant determinant of firm performance, especially in IT firms. This paper contributes to the IS literature by investigating the CEO turnover impact in IT firms compared to other industries. This study also has practical implications by providing the guideline for IT firms on the CEO turnover policy. Such firms should place additional emphasis on their succession planning efforts.


Facebook Use Among African American And Hispanic Students: An Exploratory Investigation Of Perceived Academic Impact, Sathasivam Mathiyalakan, Sharon D. White, Jorge O. Brusa 2016 Winston-Salem State University

Facebook Use Among African American And Hispanic Students: An Exploratory Investigation Of Perceived Academic Impact, Sathasivam Mathiyalakan, Sharon D. White, Jorge O. Brusa

Journal of International Technology and Information Management

Facebook is one of the world’s leading social networking sites. It is pervasive in students’ lives and can impact their academic careers in a variety of ways. However, little research exists evaluating the use of Facebook in minority academic settings. An early step in this direction is to gain an understanding of how different student demographic groups use Facebook. An interest in further assessment of Facebook’s role in diverse segments of academia motivates the collection and analysis of Facebook-related data from minority serving institutions such as Historically Black Colleges or Universities (HBCUs) and Hispanic Serving Institutions (HSIs). This ...


The Eco-Friendly Intermodal Delivery Network, Sergio Mourelo 2016 Liberty University

The Eco-Friendly Intermodal Delivery Network, Sergio Mourelo

Senior Honors Theses

The design of the distribution process is a strategic issue for almost every company. As the use of advanced technology and automation increases in manufacturing and logistics, the implementation of autonomous and electrical transportation, such as driverless vehicles and electric trucks, has become an interesting topic of study within the last few years, with the main objective of minimizing distribution costs and delivery times. The purpose of this research is to prove that intermodal delivery networks, which may combine a train and several electric vehicles, are more efficient and environmentally friendly than unimodal networks for high volume and long haul ...


Full Virtual Reality Vs. Integrated Virtual Reality Training In Welding, Richard T. Stone, Elease McLaurin, Peihan Zhong, Kristopher Patrick Watts 2016 Iowa State University

Full Virtual Reality Vs. Integrated Virtual Reality Training In Welding, Richard T. Stone, Elease Mclaurin, Peihan Zhong, Kristopher Patrick Watts

Richard T. Stone Ph.D.

This study demonstrates that both fully virtual and virtual reality (VR) integrated into real-world training programs are appropriate for use in the domain of welding training, depending on the level of task difficulty. Performance differences were virtually indistinguishable between participants in the fully virtual and the integrated training group at the low and medium weld difficulty levels. At the highest level of difficulty, it became apparent that the VR system was no longer solely sufficient for training. This study also tracked the usage patterns for the visual aids used in the VR simulator. These optional aids were presented to the ...


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