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Pages
- Title
- Oil Rig Eco Hotel: OilRigEcoHotel_Presentation
- Creator
- Marcan, Stephanie
- Date
- 2011, 2011-05
- Description
-
By refashioning the design and programmatic use of an offshore oil rig into a luxury hotel for ecotourists, a new age of responsible travel...
Show moreBy refashioning the design and programmatic use of an offshore oil rig into a luxury hotel for ecotourists, a new age of responsible travel may emerge. By twisting the symbol of oil dependency into an ecologically preserved, environmentally accountable and revenue-producing prototype, the ideals of reuse, energy and environment can be viewed through a new lens. This design creates interesting and innovative living spaces and environments aided by sustainable integrations to create a “living machine” that establishes connections between all building systems as well as inhabitant inputs and outputs resulting in an energy independent habitat.
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- Title
- Measurement of anisotropic radial flow rapidity, Proceedings of the XLIII International Symposium on Multiparticle Dynamics
- Creator
- Wu, Yuafang, Li, Lin, Li, Na
- Date
- 2013-09-15, 2013-09-15
- Publisher
- IIT Press
- Description
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Using the sample of Au + Au collisions at 200 GeV generated by the AMPT with string melting model, the anisotropic amplitudes of azimuthal...
Show moreUsing the sample of Au + Au collisions at 200 GeV generated by the AMPT with string melting model, the anisotropic amplitudes of azimuthal distributions of total transverse momentum, mean radial (transverse) momentum, and multiplicity are first presented and compared. It shows that the azimuthal distribution of mean radial momentum well characterizes the radial expansion. So a measurement of the azimuthal distribution of mean transverse (radial) rapidity of final state particles is suggested. We further show that the isotropic part of the suggested distribution is the combination of isotropic radial expansion and thermal motion. The anisotropic amplitude characterizes the anisotropic radial flow, and coincides with the parameter of anisotropic radial flow rapidity extracted from a generalized blast-wave parametrization.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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- Title
- Defining the Role of the 21st Century Public Library in Madison
- Creator
- Bartley, Nate
- Date
- 2011, 2011-05
- Description
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Madison, WI is dominated by two main forces; the state government and the University of Wisconsin. These two institutions are linked by State...
Show moreMadison, WI is dominated by two main forces; the state government and the University of Wisconsin. These two institutions are linked by State Street, a pedestrian and bike corridor that serves as the main public gathering space for the city. The new Central Public Library along this strip will provide a free, democratic space for all Madison citizens. Beyond collecting books and storing media, the Madison Library offers opportunities for gatherings and informational exchanges 24 hours a day.
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- Title
- ADAPTATION AND RENOVATION OF SCHULZE BAKERY TO A MIXED USE BUILDING
- Creator
- Al-guneid, Wigdan
- Date
- 5/2/2011, 2011-05
- Description
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Holding focus on techinics and strategies of development arc, a landmark building on the south side of Chicago will be re-adapted and...
Show moreHolding focus on techinics and strategies of development arc, a landmark building on the south side of Chicago will be re-adapted and transformed from a bakery to a much needed mixed use building.
Sponsorship: Waldorf, Tyler
Sponsorship: Denison, Dirk
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- Title
- MULTI-DIMENSIONAL BATCH SCHEDULING FRAMEWORK FOR HIGH-END SUPERCOMPUTERS
- Creator
- Zhou, Zhou
- Date
- 2016, 2016-05
- Description
-
In the field of high performance computing (HPC), batch scheduling plays a critical role. They determine when and how to process the various...
Show moreIn the field of high performance computing (HPC), batch scheduling plays a critical role. They determine when and how to process the various jobs waiting for service. Conventional batch schedulers allocate user jobs solely based on their CPU footprints. However, for a given user job, it requires many different resources during its execution, such as power, network, I/O bandwidth, etc. Today’s job schedulers rarely take into account these resource requirements which sometimes turn out to be the Achilles’ heel of system-wide performance. In this research, we propose a multi-dimensional batch scheduling framework for high-end supercomputers. Our research aims to treat these common but often ignored resources (e.g., power, network, bandwidth) as schedulable resource and further transform each scheduling into a multi-objective optimization process. Our main contributions consist of a set of scheduling models and policies, aiming at addressing the issues in batch scheduling for large-scale production supercomputers. We evaluate our design by means of trace-based simulations using real workload and performance traces from production systems. Experimental results show our methods can effectively improve batch scheduling regarding user satisfaction, system performance and operating cost.
Ph.D. in Computer Science, May 2016
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- Title
- Diffractive cross sections implemented in PYTHIA8-MBR VS LHC results, Proceedings of the XLIII International Symposium on Multiparticle Dynamics
- Creator
- Goulianos, Konstantin
- Date
- 2013-09-15, 2013-09-15
- Publisher
- IIT Press
- Description
-
Diffractive cross sections implemented in the pythia8-mbr Monte Carlo simulation are reviewed and compared to results obtained at the Large...
Show moreDiffractive cross sections implemented in the pythia8-mbr Monte Carlo simulation are reviewed and compared to results obtained at the Large Hadron Collider.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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- Title
- OPTIMAL SIGNAL TIMING DESIGN FOR URBAN STREET NETWORKS UNDER USER EQUILIBRIUM BASED TRAFFIC CONDITIONS
- Creator
- Liu, Yi
- Date
- 2015, 2015-05
- Description
-
In the ever-growing travel demand, traffic congestion on freeways and expressways recurs more frequently at a higher number of locations and...
Show moreIn the ever-growing travel demand, traffic congestion on freeways and expressways recurs more frequently at a higher number of locations and for longer durations with added severity. This becomes especially true in large metropolitan areas. Particular to the urban areas, excessive crowdedness caused by inefficient traffic control also results in urban street networks operating in near or over-saturated conditions, leading to unpleasant travel experience due to long delays at intersections. As a consequence, the recurrent traffic congestion on roadway segments and vehicle delays at intersections inevitably compromise energy efficiency, traffic mobility improvement, safety enhancement, and environmental impacts mitigation. All too often, neither restraining travel demand nor expanding system capacity is desirable and practical. Conversely, effectively utilizing the capacity of the existing transportation system has been increasingly thought of as the solution to congestion relief. With respect to the urban street networks, developing effective means for urban intersection signal optimization becomes essential to reduce intersection delays. Conventional signal timing optimization methods use historical traffic data and assume that traffic flows will remains unchanged after the implementation of new signal timing plans. Traffic flows are assumed to be constant, but in fact, when signal timing plans change, travel times for some travel routes will alter, which requires drivers in the network to adjust their choice of travel routes to arrive at the destinations, and result in redistribution of traffic in the network. Therefore, the effects of interactions between signal timing plans and traffic flows need to be explicitly taken into consideration. This study introduces a new methodology that jointly considers signal timing optimization and traffic assignment in an overall analytical framework that contains model formulations under assumptions consistent with real world situations. Such a framework is well suited for applications in real world cases. Specifically, the overall optimization framework is formulated as a bilevel optimization problem. In the proposed basic model, at the upper level, a traffic signal timing optimization problem for urban network is introduced to minimize system total travel time by optimizing signal green splits. At the lower level, a static user equilibrium problem is formulated for networkwide traffic assignment. In the vehicle delay estimation, the time-dependent stochastic delay model in the 2010 Highway Capacity Manual (HCM 2010) is employed and formulated as Variational Inequality constraints, what allow the state-of-the-art MPEC solver, GAMS/NLPEC, to solve the problem for a local optimal effectively and efficiently. The bi-level optimization model is first tested using a small network (the test network) and a computational experiment using a subarea network in the Chicago central district is conducted to assess the practicality of the model formulation in real world applications. In order to import more reality to the basic model and also consider the potential system benefit that comes from different signal phasing design, an enhanced model is developed based on the basic model by employing integer and binary variables. Formulating the problem with binary variables allows for the selection of proper phasing design. Heuristic solution methods are proposed and tested using the test network.
Ph.D. in Civil Engineering, May 2015
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- Title
- Urban Hybrid House
- Creator
- Machado, Beatriz Ferreira Pinto
- Date
- 5/4/2011, 2011-05
- Description
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The aim of this project is to develop a cluster of hybrid houses in Evanston designed to produce energy and reduce resources consumption in...
Show moreThe aim of this project is to develop a cluster of hybrid houses in Evanston designed to produce energy and reduce resources consumption in comparison to the houses surrounding it. The project goals are to demonstrate performance improvement. Maximize sun exposure and the interaction between the houses and its gardens. To raise awareness that it is possible to live in a more environmentally friendly unit without hardship is another purpose of the project.
Sponsorship: Denison, Dirk
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- Title
- DISRUPTION OF EPILEPTIC SEIZURES USING TARGETED MULTI-SITE ELECTRICAL STIMULATION
- Creator
- Sobayo, Tiwalade
- Date
- 2015, 2015-12
- Description
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Neuronal populations in the brain achieve levels of synchronous electrophysiological activity during both normal brain function and...
Show moreNeuronal populations in the brain achieve levels of synchronous electrophysiological activity during both normal brain function and pathological states such as epileptic seizures. Understanding how the dynamics of neuronal oscillators in the brain evolve from normal to diseased states is a critical component towards decoding such complex behaviors. In my studies, I assessed multi-site dynamics underlying seizure evolution in limbic epilepsy by analyzing oscillators in recordings of local field potentials from three brain structures (bilateral hippocampi and anteromedial thalamus) in a rat model of temporal lobe epilepsy extracted using the empirical mode decomposition (EMD) technique. The analysis revealed patterns of multi-site phase coherence during initiation and termination phases of seizures. The multi-site synchrony events as seizures naturally terminated were used to model electrical deep brain stimulation (DBS) protocols aimed at stopping ongoing epileptic seizures. The location and frequency of the natural termination synchrony varied between subjects but was stable in time within each animal. My studies reveal that DBS protocols were significantly more effective at rapidly stopping seizures when the frequency and location of multi-site stimulation reflected the endogenous synchrony dynamics observed in each subject. These results strongly suggest that tailoring DBS protocols to individual endogenous rhythms that may represent how brains naturally resolve epileptic seizures could play a critical role in vastly improving the overall efficacy of this important therapy.
Ph.D. in Biomedical Engineering, December 2015
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- Title
- Rehabilitation of "Kumbharwada", Dharavi Slums, Mumbai
- Creator
- Purandare, Bhakti
- Date
- 2010-05-01, 2010-05-01
- Description
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Within the slums of India small and unventilated dwellings serve as multipurpose spaces where a families live as well as manufactures pottery...
Show moreWithin the slums of India small and unventilated dwellings serve as multipurpose spaces where a families live as well as manufactures pottery products. In terms of production mechanisms, potter’s depend on conventional kilns which are shared between families. They use cotton dust, rags /wastes and diesel & oil soaked cotton as firing fuel which is serious cause of population & health hazards.
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- Title
- Multivariable MPC system performance assessment, monitoring, and diagnosis
- Creator
- Schaffer, J., Cinar, A.
- Date
- 2004-03
- Publisher
- ELSEVIER SCI LTD
- Description
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This study focuses on performance assessment and monitoring of model predictive control systems. A methodology is proposed to determine a...
Show moreThis study focuses on performance assessment and monitoring of model predictive control systems. A methodology is proposed to determine a benchmark and monitor model predictive control performance on-line. A performance measure based on the ratio of historical and achieved performance is used for monitoring and a ratio of design and achieved performance is used for diagnosis. Performance monitoring and diagnosis of causes for poor performance are integrated. A real-time knowledge-based system is developed to supervise monitoring and diagnosis activities. Case studies with linear and nonlinear models of an evaporator illustrate the methodology and limitations of linearity assumptions.
Endnote format citation for DOI:10.1016/j.jprocont.2003.07.003
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- Title
- Multivariate statistical methods for monitoring continuous processes: Assessment of discrimination power of disturbance models and diagnosis of multiple disturbances
- Creator
- Raich, A. C., Cinar, A.
- Date
- 1995-11
- Publisher
- ELSEVIER SCIENCE BV
- Description
-
A new methodology was reported [1,2] for integrated use of principal components analysis (PCA) and discriminant analysis in order to determine...
Show moreA new methodology was reported [1,2] for integrated use of principal components analysis (PCA) and discriminant analysis in order to determine out-of-control status of a continuous process and to diagnose the source causes for abnormal behavior. Most of the disturbances were identified with good rates of success, with a higher success rate for step or ramp type of disturbances. Quantitative tools that evaluate overlap and similarity between high-dimensional PCA models are proposed in this communication, and their implications on determining the discrimination power of PCA models of processes operating under disturbances are discussed. Diagnosis of several disturbances occurring simultaneously is also investigated. The criterion developed provide upper limits of discrimination power of various single and multiple process disturbances. The techniques developed are illustrated by assessing the process described by the Tennessee Eastman Control Challenge problem [3].
Endnote format citation
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- Title
- NEUTRON PRODUCTION IN THE M2 MUON BEAM LINE AT CERN
- Creator
- Draeger, Emily
- Date
- 2014, 2014-05
- Description
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Spallation neutrons produced from cosmic ray muons are a major source of backgrounds in underground physics experiments. Experiments have been...
Show moreSpallation neutrons produced from cosmic ray muons are a major source of backgrounds in underground physics experiments. Experiments have been done to study spallation neutron production and yield, but our understanding of these processes is still limited. There are various interactions that can produce spallation neutrons. Most of these production mechanisms are fairly well understood; much of the uncertainty in our understanding of spallation neutrons lies in mechanisms such as virtual photon exchange and the assumptions used to calculate the photonuclear cross section. Even the experiments that have been carried out do not agree with each other or theoretical calculations. Spallation neutron production mechanisms are discussed, as well as a new experiment to study spallation neutrons. The impact of this study on current and future underground physics experiments is also explored.
PH.D in Physics, May 2014
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- Title
- INTELLIGENT PROCESS-CONTROL WITH SUPERVISORY KNOWLEDGE-BASED SYSTEMS
- Creator
- Kendra, S. J., Basila, M. R., Cinar, A.
- Date
- 1994-06
- Description
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The integration of a supervisory knowledge-based system (KBS) with a multivariable control system is examined to provide robust multivariable...
Show moreThe integration of a supervisory knowledge-based system (KBS) with a multivariable control system is examined to provide robust multivariable control of a chemical reaction process. The supervisory KBS is capable of monitoring the process to detect system faults as well as assessing control system performance. If a control system performance deficiency is detected, the KBS formulates and implements the necessary corrective controller tuning. This adaptive capability reduces the conservatism of the robust control system. The underlying mechanisms are discussed and the re-tuning ability of the KBS is illustrated by using rigorous simulations of a chemical reaction process
Endnote format citation
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- Title
- NOVEL FAULT DIAGNOSTIC TECHNIQUE AND UNIVERSAL SENSOR FOR PERMANENT MAGNET ELECTRIC MACHINES USING SEARCH COILS
- Creator
- Da, Yao
- Date
- 2012-04-23, 2012-05
- Description
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Over the past decade, permanent magnet synchronous machines (PMSMs) have gained significant popularity in industry, such as wind turbines and...
Show moreOver the past decade, permanent magnet synchronous machines (PMSMs) have gained significant popularity in industry, such as wind turbines and electric vehicles, owing to their high efficiency, high output power to volume ratio, and high torque to current ratio. In these mission critical applications, an unexpected fault or failure of the machine could lead to very high repair or replacement cost, or even catastrophic system failure. Therefore a robust and reliable health monitoring and fault diagnostic approach is desired, which could help in scheduling preventive maintenance to lengthen their lifespan and avoid machine failure. This dissertation presents a novel multi-faults diagnostic approach using search coils. These search coils are wound around armature teeth, so they typically need to be installed during manufacturing. But its immunity to high frequency harmonics makes it suitable for inverter/rectifier fed motors or generators, such as wind turbines and automotive systems. In addition, this method does not require the knowledge of proprietary constructional details of the machine. Since the electromagnetic flux is directly measured in this method, it provides much more information than any other scheme: the direction of eccentricity and the location of shorted windings. Furthermore, this method is also capable of evaluating the severity of each fault, which is of significant importance in mission critical applications such as automotive, aerospace and military applications. In addition to these uses, the search coils can be used as a universal sensor to estimate phase current or rotor position, which are critical information in a PMSM close-loop control, which allow it to work as a backup sensor for fault tolerant operation. The proposed fault detection scheme and universal sensor concept have been tested under several scenarios with Finite Element Analysis and experimentally validated.
Ph.D. in Electrical Engineering, May 2012
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- Title
- CELL-MATRIX INTERACTIONS IN ADIPOSE TISSUE FUNCTION
- Creator
- Vaicik, Marcella K.
- Date
- 2015, 2015-07
- Description
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The overall goal of this work is to apply in vivo and in vitro models to study the basement membrane protein laminin α4 (lama4) in adipocyte...
Show moreThe overall goal of this work is to apply in vivo and in vitro models to study the basement membrane protein laminin α4 (lama4) in adipocyte function. Adipose tissue accumulation, lipogenesis, and structure were examined in mice with a null mutation of the lama4 gene (Lama4−/−) and compared to wild-type animals (Lama4+/+). The Lama4−/−mice phenotype was investigated to evaluate if the differences were due specifically to the adipose tissue function. Physical activity and food intake does not differ between Lama4+/+ and Lama4−/− mice. However, Lama4−/− mice have a significantly increased metabolic rate at 25°C and 16°C compared to Lama4+/+ mice. In contrast, in thermoneutral conditions at 30°C both Lama4+/+ and Lama4−/− mice exhibit equivalent metabolic rates. Interestingly, when room temperature housed mice fat pads were evaluated with immunohistochemistry, Lama4−/− mice exhibit significantly increased UCP-1 expression in subcutaneous adipose. These results suggest that beiging, white to brown adipocytes, in subcutaneous adipose tissue in Lama4−/− mice may lead to decreased adipose tissue accumulation and improved metabolic function. While animal models indicate the absence of lama4 results in more beiging in subcutaneous adipose tissue, an in vitro tissue engineered model was developed to study the adipocyte function in a controlled microenvironment. Primary cell spheroids developed from Lama4+/+ and Lama4−/− were incorporated into synthetic poly(ethylene glycol) (PEG) hydrogels within a range of stiffnesses. When the cells were given the same chemical cues their functions differed depending upon microenvironment stiffness. Beige function in adipocyte cells in 3D can be influenced by matrix stiffness. In conclusion, the laminin alpha 4 basement membrane protein absence in adipose tissue results in adipocyte functional changes in vivo. The Lama4−/− mice have resistance to diet induced weight gain and increased metabolic rate at room temperature and when cold challenged. The Lama4−/− mice had increased beiging in the subcutaneous depot. Additionally, a tissue engineered model was developed to further study cell-ECM interactions first identified in an animal model. These in vivo findings and the engineered model of adipose tissue have great potential for studying obesity and other adipose related diseases. Future work will require continued interdisciplinary collaboration towards the successful identification and screening of novel therapeutics using engineered tissue models.
Ph.D. in Biomedical Engineering, July 2015
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- Title
- Financial Incubators, India: panel copy
- Creator
- Shah, Shruti
- Date
- 2010-05-01, 2010-05
- Title
- BOUNDING ESTIMATION INTEGRITY RISK FOR LINEAR SYSTEMS WITH STRUCTURED STOCHASTIC MODELING UNCERTAINTY
- Creator
- Langel, Steven Edward
- Date
- 2014, 2014-05
- Description
-
Safety critical estimation applications require quantification of integrity risk, which is the probability of the state estimate error...
Show moreSafety critical estimation applications require quantification of integrity risk, which is the probability of the state estimate error exceeding predefined bounds of acceptability. Integrity risk can only be evaluated when the state estimate error probability density function is precisely known, necessitating stochastic models that exactly describe measurement noise and disturbance inputs. Uncertainty in these models directly results in inaccurate assessments of integrity risk. This dissertation develops the first implementable methods to upper bound integrity risk when the autocorrelation functions of stochastic inputs reside between upper and lower bounding functions. The first part of this work considers real-valued estimation applications that use the Kalman filter or batch weighted least squares estimator. Explicit relations are developed between the estimate error variance and autocorrelation functions using a new generalized covariance matrix derived in this dissertation. From these expressions, two methods are provided to upper bound integrity risk. The first method enables fast computation of a conservative bound, and the second method produces the minimum upper bound via semi-definite optimization. Mixed real/integer estimation applications utilizing integer bootstrapping are the focus of the second part of this work. The integrity risk bound is formally defined as the global solution to a non-convex optimization problem over a polytope. Determination of the polytopic region is difficult, and two bounding approaches are initially developed for a circumscribing hyper-rectangular feasible region. Using an innovative method to define the polytope together with linear programming, a third method is derived to upper bound integrity risk over the true polytopic feasible region.
PH.D in Mechanical and Aerospace Engineering, May 2014
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- Title
- PA 508 Student Computer Usage Survey: PA508 Student Survey 2010 Results
- Creator
- Ahrens, Aric G.
- Date
- 2010-01-19, 2010-01-19
- Description
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Included are a survey, and the results in graphic form. The survey was designed to find out how and where the Chinese contingent of Master of...
Show moreIncluded are a survey, and the results in graphic form. The survey was designed to find out how and where the Chinese contingent of Master of Public Administration students used computers. The focus was to determine whether they preferred to use computers on the Downtown Campus, where classes were taught, or on Main Campus, where most of the students lived.
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- Title
- EBSD CHARACTERIZATION OF LOW TEMPERATURE DEFORMATION MECHANISMS IN MODERN ALLOYS
- Creator
- Kozmel, Thomas S Ii
- Date
- 2015, 2015-05
- Description
-
For structural applications, grain re nement has been shown to enhance mechanical properties such as strength, fatigue resistance, and...
Show moreFor structural applications, grain re nement has been shown to enhance mechanical properties such as strength, fatigue resistance, and fracture toughness. Through control of the thermo-mechanical processing parameters, dynamic recrystallization mechanisms were used to produce microstructures consisting of sub-micron grains in 9310 steel, 4140 steel, and Ti-6Al-4V. In both 9310 and 4140 steel, the distribution of carbides throughout the microstructure a ected the ability of the material to dynamically recrystallize and determined the size of the dynamically recrystallized grains. Processing the materials at lower temperatures and higher strain rates resulted in ner dynamically recrystallized grains. Microstructural process models that can be used to estimate the resulting microstructure based on the processing parameters were developed for both 9310 and 4140 steel. Heat treatment studies performed on 9310 steel showed that the sub-micron grain size obtained during deformation could not be retained due to the low equilibrium volume fraction of carbides. Commercially available aluminum alloys were investigated to explain their high strain rate deformation behavior. Alloys such as 2139, 2519, 5083, and 7039 exhibit strain softening after an ultimate strength is reached, followed by a rapid degradation of mechanical properties after a critical strain level has been reached. Microstructural analysis showed that the formation of shear bands typically preceded this rapid degradation in properties. Shear band boundary misorientations increased as a function of equivalent strain in all cases. Precipitation behavior was found to greatly in uence the microstructural response of the alloys. Additionally, precipitation strengthened alloys were found to exhibit similar ow stress behavior, whereas solid solution strengthened alloys exhibited lower ow stresses but higher ductility during dynamic loading. Schmid factor maps demonstrated that shear band formation behavior was in uenced by texturing in these alloys.
Ph.D. in Materials Science and Engineering, May 2015
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