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Understanding The Impact Of Large-Scale Power Grid Architectures On Performance, Ange-Lionel Toba 2018 Old Dominion University

Understanding The Impact Of Large-Scale Power Grid Architectures On Performance, Ange-Lionel Toba

Engineering Management & Systems Engineering Theses & Dissertations

Grid balancing is a critical system requirement for the power grid in matching the supply to the demand. This balancing has historically been achieved by conventional power generators. However, the increasing level of renewable penetration has brought more variability and uncertainty to the grid (Ela, Diakov et al. 2013, Bessa, Moreira et al. 2014), which has considerable impacts and implications on power system reliability and efficiency, as well as costs. Energy planners have the task of designing infrastructure power systems to provide electricity to the population, wherever and whenever needed. Deciding of the right grid architecture is no easy task ...


Determination Of Bus Station Locations Under Emission And Social Cost Constraints, Atousa Zarindast, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer 2018 Iowa State University

Determination Of Bus Station Locations Under Emission And Social Cost Constraints, Atousa Zarindast, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This study proposes a two-stage stochastic programming model to determine an optimal set of bus stations that minimizes operational, environmental, and social costs under uncertain weather conditions and customer perceptions on sustainability. The first stage of the proposed model focuses on the derivation of a set of bus stations under uncertain demand and weather conditions. Then, the second stage determines an optimal vehicle capacity (i.e., bus size) to minimize the impact of vehicle shortages. In the proposed model, different customer perceptions on sustainability are conceptualized through a range of dissatisfaction levels. Weather conditions are considered as causing higher dissatisfaction ...


Robust Optimization Vs. Stochastic Programming Incorporating Risk Measures For Unit Commitment With Uncertain Variable Renewable Generation, Narges Kazemzadeh, Sarah M. Ryan, Mahdi Hamzeei 2017 Iowa State University

Robust Optimization Vs. Stochastic Programming Incorporating Risk Measures For Unit Commitment With Uncertain Variable Renewable Generation, Narges Kazemzadeh, Sarah M. Ryan, Mahdi Hamzeei

Industrial and Manufacturing Systems Engineering Publications

Unit commitment seeks the most cost effective generator commitment schedule for an electric power system to meet net load, defined as the difference between the load and the output of renewable generation, while satisfying the operational constraints on transmission system and generation resources. Stochastic programming and robust optimization are the most widely studied approaches for unit commitment under net load uncertainty. We incorporate risk considerations in these approaches and investigate their comparative performance for a multi-bus power system in terms of economic efficiency as well as the risk associated with the commitment decisions. We explicitly account for risk, via Conditional ...


A Key Components-Based Heuristic Modular Product Design Approach To Reduce Product Assembly Cost, Junfeng Ma, Gul E. Okudan-Kremer, Mian Li 2017 Mississippi State University

A Key Components-Based Heuristic Modular Product Design Approach To Reduce Product Assembly Cost, Junfeng Ma, Gul E. Okudan-Kremer, Mian Li

Industrial and Manufacturing Systems Engineering Publications

Nowadays, increasing awareness of sustainability and varied customer requirements have driven manufacturers to reconsider product development starting from the design phase. As one response to these concerns, modular product design (MPD) has attracted significant attention. Since the architecture of a product or a system can have implications on its assembly cost, MPD and product assembly should be investigated jointly. In this paper, a heuristic clustering algorithm with key components emphasis that will reduce assembly cost is offered to group components into modules. Key product/system components are those that afford competitiveness to a company. An MPD method that can decrease ...


Extrinsic And Intrinsic Control Of Integrative Processes In Neural Systems, Anirban Nandi 2017 Washington University in St. Louis

Extrinsic And Intrinsic Control Of Integrative Processes In Neural Systems, Anirban Nandi

Engineering and Applied Science Theses & Dissertations

At the simplest dynamical level, neurons can be understood as integrators. That is, neurons accumulate excitation from afferent neurons until, eventually, a threshold is reached and they produce a spike. Here, we consider the control of integrative processes in neural circuits in two contexts. First, we consider the problem of extrinsic neurocontrol, or modulating the spiking activity of neural circuits using stimulation, as is desired in a wide range of neural engineering applications. From a control-theoretic standpoint, such a problem presents several interesting nuances, including discontinuity in the dynamics due to the spiking process, and the technological limitations associated with ...


Towards Reactive Control Of Transitional Legged Robot Maneuvers, Jeff Duperret 2017 University of Pennsylvania

Towards Reactive Control Of Transitional Legged Robot Maneuvers, Jeff Duperret

Departmental Papers (ESE)

We propose the idea of a discrete navigation problem – consisting of controlling the state of a discrete-time control system to reach a goal set while in the interim avoiding a set of obstacle states – to approximate a simplified class of transitional legged robotic tasks such as leaping which have no well established mathematical description that lends itself to synthesis. The control relation given in Theorem 1 is (assuming a task solution exists) necessary and sufficient to solve a discrete navigation problem in a minimum number of steps, and is well suited to computation when a legged system’s continuous-time within-stride ...


Development And Field Testing Of An Interactive Transit Station Information System (Itsis) Using Connected Vehicle Technologies, Huadong Meng, Jacob Tsao, Kun Zhou, Justin Picar, Bradley Mizuno, Wei-Bin Zhang 2017 San Jose State University

Development And Field Testing Of An Interactive Transit Station Information System (Itsis) Using Connected Vehicle Technologies, Huadong Meng, Jacob Tsao, Kun Zhou, Justin Picar, Bradley Mizuno, Wei-Bin Zhang

Faculty Publications

The objective of Interactive Transit Station Information System (ITSIS) is to better inform transit travelers during their trips and to enable dynamic transit operations to better serve travelers. The ultimate goal is to make transit more friendly and attractive to the traveling population such that transit will become a viable choice for travel and an integrated part of the solution for congestion relief. This report documents a research effort to develop and test a ITSIS prototype that uses Connected Vehicle technologies to enable the real-time interaction between passengers and transit systems at bus stations. The reports summarizes the findings from ...


Sensor-Based Legged Robot Homing Using Range-Only Target Localization, Vasileios Vasilopoulos, Omur Arslan, Avik De, Daniel E. Koditschek 2017 University of Pennsylvania

Sensor-Based Legged Robot Homing Using Range-Only Target Localization, Vasileios Vasilopoulos, Omur Arslan, Avik De, Daniel E. Koditschek

Departmental Papers (ESE)

This paper demonstrates a fully sensor-based reactive homing behavior on a physical quadrupedal robot, using onboard sensors, in simple (convex obstacle-cluttered) unknown, GPS-denied environments. Its implementation is enabled by our empirical success in controlling the legged machine to approximate the (abstract) unicycle mechanics assumed by the navigation algorithm, and our proposed method of range-only target localization using particle filters.

For more information: Kod*lab


Artificial Olfactory System For Multi-Component Analysis Of Gas Mixtures., Alexander Aleksandrovich Larin 2017 University of Louisville

Artificial Olfactory System For Multi-Component Analysis Of Gas Mixtures., Alexander Aleksandrovich Larin

Electronic Theses and Dissertations

Gas analysis is an important part of our world and gas sensing technology is becoming more essential for various aspects of our life. A novel approach for gas mixture analysis by using portable gas chromatography in combination with an array of highly integrated and selective metal oxide (MOX) sensors has been studied. We developed a system with small size (7 x 13 x 16 inches), low power consumption (~10 W) and absence of special carrier gases designed for portable field analysis (assuming apriori calibration). Low ppb and even sub-ppb level of detection for some VOCs was achieved during the analysis ...


Arctic Lawe: An Upper-Body Exoskeleton For Firearm Training, Thomas M. Schnieders, Richard T. Stone, Tyler Oviatt, Eric Danford-Klein 2017 Iowa State University

Arctic Lawe: An Upper-Body Exoskeleton For Firearm Training, Thomas M. Schnieders, Richard T. Stone, Tyler Oviatt, Eric Danford-Klein

Industrial and Manufacturing Systems Engineering Publications

The Armed Robotic Control for Training in Civilian Law Enforcement, or ARCTiC LawE, is an upper-body exoskeleton designed to assist civilian, military, and law enforcement personnel in accurate, precise, and reliable handgun techniques. This exoskeleton training utilizes a laser-based handgun with similar dimensions, trigger pull, and break action to a Glock® 19 pistol, common to both public and private security sectors. The paper aims to train and test subjects with no handgun training/experience both with and without the ARCTiC LawE and compare the results of accuracy, precision, and speed. Ultimately, the exoskeleton greatly impacts sensory motor learning, and the ...


An Analysis Of The Size And Impact Of Digital Footprints, Whitney Nielsen Maxwell 2017 Brigham Young University

An Analysis Of The Size And Impact Of Digital Footprints, Whitney Nielsen Maxwell

All Theses and Dissertations

Personal information available online is known as a digital footprint. While many have a digital footprint, few if any, know what it encapsulates or how to control it. Technology and personal information are becoming more intertwined as technology becomes more integrated with everyday activities. Personal information can be defined as details that apply to a person such as race or shopping habits. Shopping habits are considered personal information by many corporations who spend money to track, or even predict purchases of individuals, whereas more traditional forms of personal information are details like gender, birthdate, and home town. With a wide ...


A Comprehensive End-Of-Life Strategy Decision Making Approach To Handle Uncertainty In The Product Design Stage, Junfeng Ma, Gul E. Okudan-Kremer, Charles David Ray 2017 Mississippi State University

A Comprehensive End-Of-Life Strategy Decision Making Approach To Handle Uncertainty In The Product Design Stage, Junfeng Ma, Gul E. Okudan-Kremer, Charles David Ray

Industrial and Manufacturing Systems Engineering Publications

This study employs fuzzy logic to evaluate uncertain component end-of-life (EOL) options in the design stage. Determining EOL strategies during the product design stage can be complex. For example, EOL strategies for retired bicycle components are various and may change with geographic location. Thus, adopting fixed EOL strategies in the product design stage may not always be appropriate; the element of uncertainty should be considered. Limited research has examined uncertainty of EOL strategies during the design stage. Moreover, the evaluation of EOL strategies in a comprehensive manner has not been shown in a realistic case study. These facts motivate this ...


Modular Hopping And Running Via Parallel Composition, Avik De 2017 University of Pennsylvania

Modular Hopping And Running Via Parallel Composition, Avik De

Departmental Papers (ESE)

Though multi-functional robot hardware has been created, the complexity in its functionality has been constrained by a lack of algorithms that appropriately manage flexible and autonomous reconfiguration of interconnections to physical and behavioral components.

Raibert pioneered a paradigm for the synthesis of planar hopping using a composition of ``parts'': controlled vertical hopping, controlled forward speed, and controlled body attitude. Such reduced degree-of-freedom compositions also seem to appear in running animals across several orders of magnitude of scale. Dynamical systems theory can offer a formal representation of such reductions in terms of ``anchored templates,'' respecting which Raibert's empirical synthesis (and ...


Technical Report On: Towards Reactive Control Of Simplified Legged Robotics Maneuvers, Jeff Duperret, D. E. Koditschek 2017 University of Pennsylvania

Technical Report On: Towards Reactive Control Of Simplified Legged Robotics Maneuvers, Jeff Duperret, D. E. Koditschek

Technical Reports (ESE)

This technical report provides proofs and calculations for the paper "Towards Reactive Control of Simplified Legged Robotics Maneuvers," as well as implementation notes and a discussion on robustness.


Answering Food Insecurity: Serving The Community With Food And Knowledge Using Technology, Courtney Simpson 2017 Purdue University

Answering Food Insecurity: Serving The Community With Food And Knowledge Using Technology, Courtney Simpson

Purdue Journal of Service-Learning and International Engagement

The courses of Tech120, CGT110, and ENGT 180/181 and Red Gold at Purdue collaborated to design a robot that would plant and water a garden for a local community charter school. The students centered the project on the users’ needs for fresh food, nutrition education, and early exposure to STEM for children. The school, Anderson Preparatory Academy (APA), is comprised of many children who come from low-income families and are in the free or reduced lunch program. Inspired from “Farm Bot,” a similar system that allows for almost hands-free gardening, the “Boiler Bot” is designed to be scalable so ...


Development Of Design Requirements For A Cognitive Assistant In Space Missions Beyond Low Earth Orbit, Güliz Tokadl, Michael C. Dorneich 2017 Iowa State University

Development Of Design Requirements For A Cognitive Assistant In Space Missions Beyond Low Earth Orbit, Güliz Tokadl, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Publications

This study describes the development of requirements for a cognitive assistant (CA) for use onboard a space vehicle/station. For missions beyond low Earth orbit (LEO), delayed communication will limit mission control’s ability to support the space crew in real time. During off-nominal situations, where no procedures have been developed prior to missions, crews must develop responses in real time and may increasingly rely on automation. A systematic approach was used to model the domain knowledge of the collaborative decision-making process of current space operations, extrapolate to missions beyond LEO, and develop the design requirements for a CA. Document ...


Using Emerging Open Source Technolgies To Foster Reproducability In Research, Joe Olson 2017 Illinois State University

Using Emerging Open Source Technolgies To Foster Reproducability In Research, Joe Olson

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Quantitative Analysis Of Regenerative Energy In Electric Rail Traction Systems, Mahmoud Saleh, Oindrilla Dutta, Yusef Esa, Ahmed Mohamed 2017 CUNY City College

Quantitative Analysis Of Regenerative Energy In Electric Rail Traction Systems, Mahmoud Saleh, Oindrilla Dutta, Yusef Esa, Ahmed Mohamed

Publications and Research

This paper aims at determining the influential factors affecting regenerative braking energy in DC rail transit systems. This has been achieved by quantitatively evaluating the dependence of regenerative energy on various parameters, such as vehicle dynamics, train scheduling, ground inclination and efficiency of the electrical devices. The recuperated power and energy have been presented by a mathematical model, comprising of a set of empirical forms, which allows for thorough analysis. A detailed simulation model of a typical DC-traction system has been developed to validate the developed empirical forms. The results verified the validity of the proposed mathematical model, and demonstrated ...


Identification Of Reverse Engineering Candidates Utilizing Machine Learning And Aircraft Cannibalization Data, Marc Banghart 2017 Embry Riddle Aeronautical University

Identification Of Reverse Engineering Candidates Utilizing Machine Learning And Aircraft Cannibalization Data, Marc Banghart

International Journal of Aviation, Aeronautics, and Aerospace

As military aircraft continue to remain in service and age, cannibalization of parts is increasing. Proactive identification of parts that are at high risk for cannibalization will inform engineering processes such as reverse engineering, thus allowing potentially reducing lead time to develop new parts. The research objective was to develop a causal structure that can be used for prediction of when cannibalization actions may occur. Bayesian networks allow encoding of causality between various descriptive features given a data set. The method utilized a tabu search algorithm, identified the underlying causal structure and the associated node probabilities. The method is then ...


Evaluating Process Improvement Courses Of Action Through Modeling And Simulation, Joseph R. Owens 2017 Air Force Institute of Technology

Evaluating Process Improvement Courses Of Action Through Modeling And Simulation, Joseph R. Owens

Theses and Dissertations

Quantifying an expected improvement when considering moderate-complexity changes to a process is time consuming and has potential to overlook stochastic effects. By modeling a process as a Numerical Design Structure Matrix (NDSM), simulating the proposed changes, and evaluating performance, quantification can be rapidly accomplished to understand stochastic effects. This thesis explores a method to evaluate complex process changes within Six Sigma DMAIC process improvement to identify the most desirable outcome amongst several improvement options. A tool to perform the modeling and evaluation is developed. This process evaluation tool is verified for functionality, then is demonstrated against generic processes, a case ...


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