Search results

Title: Power Measurement for Road Bicycles: Towards a Universal Solution (sequence unknown), IPRO 324 - Deliverables
Creator: Adrianzen, Luis, Allen, Ross, Antonio, Chris, Callan, Mark, Claxton, Sara, Diesse, Patrick, Gaylord, Matthew, Herbert, Greg, Shaffer, Dan, Wegrzyn, Celeste
Date: 2009-12
Description: The goal of the IPRO is to try to find an inexpensive, but accurate way of measuring the power output of a rider on a bicycle. Problems with...
Show moreThe goal of the IPRO is to try to find an inexpensive, but accurate way of measuring the power output of a rider on a bicycle. Problems with systems currently available are: some products are not compatible with all bike systems causing the need to purchase new parts, the cost of the available products is expensive, and some of the available measuring systems are not very accurate.
Deliverables for IPRO 324: Power Measurement for Road Bicycles: Towards a Universal Solution for the fall 2009 semester
Show less

Title: Boosted heavy particles and jet substructure with the CMS detector, Proceedings of the XLIII International Symposium on Multiparticle Dynamics
Creator: Marchesini, Ivan
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: In the last years, the understanding of jets and jet substructure has become increasingly important, in particular in the context of new...
Show moreIn the last years, the understanding of jets and jet substructure has become increasingly important, in particular in the context of new physics searches. Many new physics models involve highly boosted hadronically-decaying particles, which result in jet-like objects with large masses and an intrinsic substructure. Discrimination of these heavy jets from ordinary quark and gluon jets is possible through a plethora of new techniques. The understanding of jets can be exploited also for the identification of pileup jets and for the discrimination between quark jets and gluon jets. A sampling of these techniques is discussed together with their validation on collider data recorded in proton-proton collisions at √s = 8TeV with the CMS detector in the year 2012. The commissioning in the boosted regime of algorithms used to identify jets originating from bottom quarks is also discussed. Many studies have highlighted the potential of using jet substructure techniques to improve the sensitivity in physics searches. An overview of recent CMS results employing these techniques is presented.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
Show less

Title: Finding Uses for Alternative Fuels in Intermodal Transportation Hubs (sequence unknown), IPRO 307 - Deliverables: 307_redacted
Creator: Balakirev, Konstantin, Beau‐luby, Ryan, Bouikidis, John, Cargill, Matthew, Dziuba, David, Kehoe, Matthew, Slonski, Bryan, Tesfaye, Melat, Wiese, Matthew, Wiseman, Christopher, Zook, Joel
Date: 2009-12
Description: Chicago, being the third largest freight hub in the world, needs an efficient movement of goods for the increasing freight shipments.
Sponsorsh...
Show moreChicago, being the third largest freight hub in the world, needs an efficient movement of goods for the increasing freight shipments.
Sponsorship: Mi-Jack
Deliverables for IPRO 307: Finding Uses for Alternative Fuels in Intermodal Transportation Hubs for the fall 2009 semester.
Show less

Title: High Speed Jet Flows, 1995: Presented at the 1995 ASME/JSME Fluids Engineering and Laser Anemometry Conference and Exhibition, August 13-18, 1995, Hilton Head, South Carolina
Creator: Raman, Ganesh, Kaji, S., Freitas, Christopher J.
Date: 1995
Publisher: American Society of Mechanical Engineers

Title: LARGE-SCALE SIMULATION OF ELECTRIC POWER SYSTEMS FOR WIND
Creator: Wei, Tian
Date: 2011-08, 2011-07
Description: The utilization of wind energy will pose great socioeconomic benefits with reductions in power plant emissions and the supply of zero cost...
Show moreThe utilization of wind energy will pose great socioeconomic benefits with reductions in power plant emissions and the supply of zero cost energy; however, largescale wind energy integration could introduce inevitable challenges to regional transmission systems and hourly system operations. This thesis addresses the congestion identification, simulation and analysis of large-scale electric power systems in different scenarios, large-scale wind energy integration and related transmission expansion issues. A methodology based on the security-constrained unit commitment (SCUC) is applied to analyze the transmission congestions in the Eastern Interconnection of the United States. The identified congestions are visualized along with the Geographical Information System (GIS) data and compared with the results in National Electric Transmission Congestion Study (NETCS) published by the Department of Energy of the United States in 2006. The study also provides the locational marginal price (LMP) information in the Eastern Interconnection, which is not available in the NETCS report. This thesis implements a comprehensive simulation and scenario analysis of the Illinois electric power system for the year 2011. Possible scenarios representing electrical load sensitivities to economic growth, fuel price variations, and the impact of carbon cost, are studied. This thesis presents the hourly simulation results for the large-scale wind energy integration in the Eastern Interconnection of the United States. An hourly unit commitment is applied for the simulation of the economics of wind energy integration in the year 2030. The energy portfolio for supplying the hourly load in 2030 is developed based on wind integration levels. The sensitivities of fuel price, wind energy quantity, xvii load forecast, carbon cost, and load management to the proposed 2030 wind integration are studied. This thesis identifies transmission congestions and expands the existing transmission system in the Eastern Interconnection of the United States for accommodating a large-scale integration of wind energy. Violated transmission flows which would cause the infeasibility of hourly SCUC are identified. An iterative transmission expansion analysis is implemented to identify the minimum required additions to the Eastern Interconnection for mitigating hourly transmission congestions.
Ph.D. in Electrical Engineering, July 2011
Show less

Title: DIRECT DIFFEOMORPHIC REPARAMETERIZATION FOR CORRESPONDENCE OPTIMIZATION IN STATISTICAL SHAPE MODELING
Creator: Li, Kang
Date: 2015, 2015-05
Description: This dissertation proposes an efficient optimization approach for obtaining shape correspondence across a group of objects for statistical...
Show moreThis dissertation proposes an efficient optimization approach for obtaining shape correspondence across a group of objects for statistical shape modeling. With each shape represented in a B-spline based parametric form, the correspondence across the shape population is cast as an issue of seeking a reparametrization for each shape so that a quality measure of the resulting shape correspondence across the group is optimized. The quality measure is the description length of covariance matrix of the shape population, with landmarks sampled on each shape. The movement of landmarks on each B-spline shape is controlled by the reparameterization of the B-spline shape. The reparameterization itself is also represented with B-splines and B-spline coefficients are used as optimization parameters. We have developed formulations for ensuring the bijectivity of the reparameterization. A gradient-based optimization approach is developed, including techniques such as constraint aggregation and adjoint senstivity for efficient, direct di↵eomorphic reparameterization of landmarks to improve the group-wise shape correspondence. Numerical experiments on both synthetic and real 2D and 3D data sets demonstrate the efficiency and e↵ectiveness of the proposed approach.This dissertation proposes an efficient optimization approach for obtaining shape correspondence across a group of objects for statistical shape modeling. With each shape represented in a B-spline based parametric form, the correspondence across the shape population is cast as an issue of seeking a reparametrization for each shape so that a quality measure of the resulting shape correspondence across the group is optimized. The quality measure is the description length of covariance matrix of the shape population, with landmarks sampled on each shape. The movement of landmarks on each B-spline shape is controlled by the reparameterization of the B-spline shape. The reparameterization itself is also represented with B-splines and B-spline coefficients are used as optimization parameters. We have developed formulations for ensuring the bijectivity of the reparameterization. A gradient-based optimization approach is developed, including techniques such as constraint aggregation and adjoint senstivity for efficient, direct di↵eomorphic reparameterization of landmarks to improve the group-wise shape correspondence. Numerical experiments on both synthetic and real 2D and 3D data sets demonstrate the efficiency and e↵ectiveness of the proposed approach.
Ph.D. in Mechanical and Aerospace Engineering, May 2015
Show less

Title: Estimation of Future Glucose Concentrations with Subject-Specific Recursive Linear Models
Creator: Eren-oruklu, Meriyan, Cinar, Ali, Quinn, Lauretta, Smith, Donald
Date: 2009-04
Publisher: MARY ANN LIEBERT INC
Description: Background: Estimation of future glucose concentrations is a crucial task for diabetes management. Predicted glucose values can be used for...
Show moreBackground: Estimation of future glucose concentrations is a crucial task for diabetes management. Predicted glucose values can be used for early hypoglycemic/hyperglycemic alarms or for adjustment of insulin injections or insulin infusion rates of manual or automated pumps. Continuous glucose monitoring (CGM) technologies provide glucose readings at a high frequency and consequently detailed insight into the subject's glucose variations. The objective of this research is to develop reliable subject-specific glucose prediction models using CGM data. Methods: Two separate patient databases collected under hospitalized (disturbance-free) and normal daily life conditions are used for validation of the proposed glucose prediction algorithm. Both databases consist of glucose concentration data collected at 5-min intervals using a CGM device. Using time-series analysis, low-order linear models are developed from patients' own CGM data. The time-series models are integrated with recursive identification and change detection methods, which enables dynamic adaptation of the model to inter-/intra-subject variability and glycemic disturbances. Prediction performance is evaluated in terms of glucose prediction error and Clarke Error Grid analysis (CG-EGA). Results: Prediction errors are significantly reduced with recursive identification of the models, and predictions are further improved with inclusion of a parameter change detection method. CG-EGA analysis results in accurate readings of 90% or more. Conclusions: Subject-specific glucose prediction strategy has been developed. Including a change detection method to the recursive algorithm improves the prediction accuracy. The proposed modeling algorithm with small number of parameters is a good candidate for installation in portable devices for early hypoglycemic/hyperglycemic alarms and for closing the glucose regulation loop with an insulin pump.
Endnote format citation
Show less

Title: DEPTH MAP PROCESSING FOR MULTI-VIEW VIDEO PLUS DEPTH
Creator: Vijayanagar, Krisha Rao
Date: 2014, 2014-05
Description: The world of multimedia and visual entertainment has grown in leaps and bounds in the past decade with 3-D television being one of the biggest...
Show moreThe world of multimedia and visual entertainment has grown in leaps and bounds in the past decade with 3-D television being one of the biggest technologies. Amongst several formats proposed for representing 3-D content, multi- view video plus depth (MVD) format has gained a lot of interest in the past few years. MVD requires that each view of a particular scene be accompanied by a per-pixel depth. This introduces new problems for compression and transmission of MVD content because a depth map has di erent characteristics from a color image. Keeping the MVD format and depth map characteristics in mind, we highlight three majors problems that plague the MVD format, namely, 1. depth map re nement. 2. depth map compression. 3. novel view synthesis using the depth map at the decoder side. In order to re ne a depth map, we propose a multi-resolution anisotropic di usion algorithm that is optimized to run in real-time thus ensuring that the encoder does not su er from additional latency. Next, we propose two unique solutions for compressing them. We rst propose a solution using the Layered Depth Video (LDV) concept using a rate-distortion optimized quadtree decomposition of the LDV using a novel two-mode block truncation code with improved prediction. We also propose a compression solution using compressive sensing (CS) concepts by creating a hybrid rate-optimized CS codec. This codec achieves two goals:- rstly, block classi cation to ensure lower decoder complexity and secondly, rate-distortion optimization of the measurement rate for each block that is to be compressively sensed. We then look at the view synthesis component of the MVD tool-chain which x is a time-sensitive process. Keeping decoding latency in mind, we propose a lookup- table based approach to the 3-D warping process with a simpli ed hole- lling algorithm that is not only competitive quality-wise with other schemes but is several times faster too. It is hopeful that the presented techniques can be used successfully to create MVD architectures for applications that need low-complexity encoding solutions.
PH.D in Electrical Engineering, May 2014
Show less

Title: COMPUTER MODELING OF BREAST LESIONS AND STUDIES OF ANALYZER-BASED X-RAY IMAGING
Creator: Garcia, Luis De Sisternes
Date: 2011-11, 2011-12
Description: Phase-contrast x-ray imaging is an emerging technique that promises to yield highly sensitive medical images of soft tissue, which is...
Show morePhase-contrast x-ray imaging is an emerging technique that promises to yield highly sensitive medical images of soft tissue, which is difficult to observe via conventional radiography given its low X-ray attenuation differences. One of these phase-contrast techniques, known as analyzer-based imaging, has demonstrated that highly detailed breast tissue images can be obtained using synchrotron radiation. However, synchrotron facilities are impractical for clinical use. This thesis introduces studies and exposure consideration towards the application of analyzer-based imaging in a clinical environment, particularly in the context of breast imaging. It also introduces a computational breast lesion model that generates randomized three-dimensional phantoms which follow realistically the characteristics observed in real lesions. Moving analyzer-based imaging to clinical application requires the consideration of photon noise, inherent from the use of a photon-limited conventional source. We summarize the statistical properties in the presence of photon noise of two popular analyzer-based imaging techniques, known as diffraction-enhanced imaging (DEI) and multiple-image radiography (MIR). The statistics for MIR have not been previously derived and are introduced in this thesis. Comparison of the resulting statistical predictions with results obtained by Monte Carlo simulation validated the analysis. An expression for the maximum-likelihood (ML) solution for analyzer-based imaging is presented as a way of minimizing the effects of photon noise in the reconstruction of the object’s absorption, refraction and ultra-small angle scattering properties, and more practical maximum-likelihood expectation-maximization (ML-EM) and maximum-a-posteriori expectation-maximization (MAP-EM) solutions are also introduced. The behavior of the ML-EM and MAP-EM solutions was compared to the results produced by the five best-known analyzer-based reconstruction methods using computer simulations. The ML-EM and MAP-EM reconstructions proved closer to the theoretical values as they do not rely on commonly known limitations and approximations introduced by the other techniques. We introduce the development and evaluation of a new computational breast lesion phantom model that can simulate either massess or microcalcifications. The proposed tool allows the generation of a large number of randomized three-dimensional breast lesion simulations following desired characteristics normally used to describe breast lesions in clinical practice. The initial motivation for the development of this new phantom model was to enable the proposed evaluations of analyzer-based imaging to be achieved. However, the model became a major focus of this thesis because it improves significantly upon those that can be found in previous literature. The proposed lesion model can be used for evaluation studies across different breast imaging techniques, as well as for training purposes, so it is our hope that it could become an important resource for the broader mammography research community. As part of the lesion modeling research, we also introduce methods to computationally modify experimental mammography and analyzer-based images of breast tissue so that they present the generated tumor simulations embedded within their parenchyma realistically. The realism of the simulated lesion images was evaluated by comparison of 83 real tumor cases observed in mammograms with 83 constructed hybrid images in which simulated tumors matching the characteristics observed in the real cases were embedded, with healthy tissue acting as background. As a quantitative comparison, extracted features describing tumor shape and density showed no statistically significant differences between real and simulated tumors. A known computational tumor classification technique based on their shape observed in mammography was implemented and showed no significant performance differences between real and simulated cases, as well as showing good correlation with previously published performance results in real tumors. To measure the realism for use in human observer studies, we conducted a reader study in which 5 experienced radiologists were asked to judge whether each of the 166 images was real or simulated by assigning a score on a 7-point scale. The results were analyzed in a multiple-reader multiple-case statistical framework. The conclusion of the study was that the readers’ accuracy in assessing whether the lesions were real or simulated was not significantly better than random chance. This thesis also incorporates a reader study to evaluate the degree to which photon-limited analyzer-based images may be effective for visualization of breast cancer features. Our motivation was to establish the x-ray intensity that would be required to make these methods feasible, the purpose being to serve as a guide in parameter selection for future design of imaging hardware. We conducted a series of observer studies that quantify the performance of analyzer-based refraction images at different noise levels for the task of identifying subtle details present in breast tumors which are relevant to clinical diagnosis. The cases shown to the readers consisted of hybrid images where simulated lesions of known characteristics were computationally embedded in real breast analyzer-based background images. The original phase-contrast data was obtained using synchrotron radiation and was later modified to simulate the noise and blurring effects produced from a photon-limited source with a 300μm aperture size, similar to those used in a laboratory environment. Results showed that the analyzer-based imaging techniques statistically outperformed conventional mammography for the given task with an average of just 128 recorded photons per pixel in background image regions
Ph.D. in Electrical Engineering, December 2011
Show less

Title: Nutrition and Diabetes: Pathophysiology and Management
Creator: Opara, Emmanuel C.
Date: 2006
Publisher: CRC, Taylor & Francis

Title: COOPERATIVE BATCH SCHEDULING FOR HPC SYSTEMS
Creator: Yang, Xu
Date: 2017, 2017-05
Description: The batch scheduler is an important system software serving as the interface between users and HPC systems. Users submit their jobs via batch...
Show moreThe batch scheduler is an important system software serving as the interface between users and HPC systems. Users submit their jobs via batch scheduling portal and the batch scheduler makes scheduling decision for each job based on its request for system resources and system availability. Jobs submitted to HPC systems are usually parallel applications and their lifecycle consists of multiple running phases, such as computation, communication and input/output data. Thus, the running of such parallel applications could involve various system resources, such as power, network bandwidth, I/O bandwidth, storage, etc. And most of these system resources are shared among concurrently running jobs. However, Today's batch schedulers do not take the contention and interference between jobs over these resources into consideration for making scheduling decisions, which has been identified as one of the major culprits for both the system and application performance variability. In this work, we propose a cooperative batch scheduling framework for HPC systems. The motivation of our work is to take important factors about jobs and the system, such as job power, job communication characteristics and network topology, for making orchestrated scheduling decisions to reduce the contention between concurrently running jobs and to alleviate the performance variability. Our contributions are the design and implementation of several coordinated scheduling models and algorithms for addressing some chronic issues in HPC systems. The proposed models and algorithms in this work have been evaluated by the means of simulation using workload traces and application communication traces collected from production HPC systems. Preliminary experimental results show that our models and algorithms can effectively improve the application and the system overall performance, HPC facilities' operation cost, and alleviate the performance variability caused by job interference.
Ph.D. in Computer Science, May 2017
Show less

Title: Design of Kranti Home and School (Mumbai) for Sexually Trafficked Girls (sequence unknown), IPRO 343 - Project Plan
Creator: Arastu, Insiyah, Choe, Jonathan, Davis, Elena, Enriquez, Sheena, Kimball, Mark, Kleehammer, Christopher, Klimek, Joseph, Marcheva, Boryana, Martin, Amy, Patel, Hamida, Patel, Avni, Semerdjiev, Ivo, Sturrup, Terez
Date: 2009-12
Description: To develop and design a home and center of education for girls who have been previously trafficked.
Project Plan for IPRO 343: Design of Kranti...
Show moreTo develop and design a home and center of education for girls who have been previously trafficked.
Project Plan for IPRO 343: Design of Kranti Home and School (Mumbai) for Sexually Trafficked Girls for the fall 2009 semester
Show less

Title: SPEECH INTELLIGIBILITY AND ACCENTS IN SPEECH-MEDIATED INTERFACES: RESULTS AND RECOMMENDATIONS
Creator: Lawrence, Halcyon M.
Date: 2013, 2013-07
Description: There continues to be significant growth in the development and use of speech–mediated devices and technology products; however, there is no...
Show moreThere continues to be significant growth in the development and use of speech–mediated devices and technology products; however, there is no evidence that non-native English speech is used in these devices, despite the fact that English is now spoken by more non-native speakers than native speakers, worldwide. This relative absence of non-native English speech in devices may be due in part to the costs associated with localizing speech devices, but it may also be attributable to the fact that not enough is known about user performance with accented speech in speech–mediated environments. In the absence of targeted research, developers may be relying on existing studies which focus on perception (impression) of accented speech, as a basis of decision-making. However, perception paints only part of the picture when it comes to understanding how and why people perform in certain ways and in certain environments. Three studies were conducted to answer the following questions: (1) What are the acoustic-phonetic characteristics of negatively- and positively-perceived accented speech? And how are these characteristics related to markers of intelligible speech? (2) How do participants perform on different types of accented-speech tasks? (3) What is the relationship between user perception of accented speech and user performance in response to accented speech? and; (4) How do participants perform on accented speech tasks of varying complexity? Arising out of this research, there are six recommendations for the use of accented speech in speech-mediated devices. Also, the findings of this study raise questions about inherent linguistic stereotypes which impact both our perceptions and our choices about xvi the accents we want to hear on our speech devices. A discussion about if and how these stereotypes can be altered and measured are included. Future research should examine the role of experienced non-native talkers in speech devices. Results of study one demonstrated that some experienced non-native talkers were positively-perceived by raters and may be good candidates for talkers in speech devices. A study like this would explicitly establish if listeners consistently make native vs. non-native distinctions in their preferences or if a prestige continuum emerges.
PH.D in Technical Communication, July 2013
Show less

Title: Learning the Lingo? Gender, Prestige and Linguistic Adaptation in Review Communities
Creator: Hemphill, Libby, Otterbacher, Jahna
Date: 2011-11-19, 2012-02
Publisher: ACM Press
Description: Women and men communicate differently in both face-to- face and computer-mediated environments. We study linguistic patterns considered...
Show moreWomen and men communicate differently in both face-to- face and computer-mediated environments. We study linguistic patterns considered gendered in reviews contributed to the Internet Movie Database. IMDb has been described as a male-majority community, in which females contribute fewer reviews and enjoy less prestige than males. Analyzing reviews posted by prolific males and females, we hypothesize that females adjust their communication styles to be in sync with their male counterparts. We find evidence that while certain characteristics of “female language” persevere over time (e.g., frequent use of pronouns) others (e.g., hedging) decrease with time. Surprisingly, we also find that males often increase their use of “female” features. Our results indicate, that even when they resemble men’s reviews linguistically, women’s reviews still enjoy less prestige and smaller audiences.
Show less

Title: Agent-based control of spatially distributed chemical reactor networks
Creator: Tatara, Eric, North, Michael, Hood, Cindy, Teymour, Fouad, Cinar, Ali
Date: 2005
Publisher: SPRINGER-VERLAG BERLIN
Description: Large-scale spatially distributed systems provide a unique and difficult control challenge because of their nonlinearity, spatialdistribution...
Show moreLarge-scale spatially distributed systems provide a unique and difficult control challenge because of their nonlinearity, spatialdistribution and generally high order. The control structure for these systems tend to be both discrete and distributed as well and contain discrete and continuous elements. A layered control structure interfaced with complex arrays of sensors and actuators provides a flexible supervision and control system that can deal with local and global challenges. An adaptive agent-based control structure is presented whereby local control objectives may be changed in order to achieve the global control objective. Information is shared through a global knowledge environment that promotes the distribution of ideas through reinforcement. The performance of the agent-based control approach is illustrated in a case study where the interaction front between two competing autocatalytic species is moved from one spatial configuration to another. The multi-agent control system is able to effectively explore the parameter space of the network and intelligently manipulate the network flow rates such that the desired spatial distribution of species is achieved.
Endnote format citation
Show less

Title: Devices that Assist Blind & Visually-Impaired Individuals in Swimming and Other Exercise Activities (sequence unknown), IPRO 310 - Deliverables: IPRO 310 Poster F09
Creator: Dykeman, Kimberly, Healton, Michaela, Lipman, Timothy, Ludwig, Ross, Park, Jay, Reilly, Jeffrey, Sarkar, Smita, Sirk, Phillip, Toro, Branden
Date: 2009-12
Description: The objective is to develop, test, and implement assistive technology with the community that promotes safety and improves independence of...
Show moreThe objective is to develop, test, and implement assistive technology with the community that promotes safety and improves independence of blind and visually impaired (BVI) swimmers.
Sponsorship: Chicago Lighthouse for the Blind & Visually-Impaired. Notre Dame University
Deliverables for IPRO 310:Devices that Assist Blind & Visually-Impaired Individuals in Swimming and Other Exercise Activities for the fall 2009 semester.
Show less

Title: Teacher Knowledge Share (Semester Unknown) IPRO 320: Teacher Knowledge Share IPRO 320 Final Presentation F08
Creator: Bern, David, Bochantin, Marike, Hartline, Julian, Mccall, Ian, Mick, Emily, Peake, Andrew, Pierce, Alison, Pindrik, Dmitriy, Quinn, Michael, Stanford, Carly, Tilatti, Michael
Date: 2008, 2008-12
Description: The goal of IPRO 320 is to create an online professional network for school teachers at the kindergarten through twelfth grade level to allow...
Show moreThe goal of IPRO 320 is to create an online professional network for school teachers at the kindergarten through twelfth grade level to allow for the sharing of ideas, lesson plans and other professionally relevant information. This is a continuing project which saw limited success in the previous semester in that a functioning web site was constructed based on surveys of public school teachers but it saw very little use. This semester, the planned approach is to build on the research generated last semester by performing additional market research with teachers. Following that, IPRO 320 will rework much of the previous web site by refining some of the features, adding additional ones as the research indicates and improving the website in general, both functionally and aesthetically.
Deliverables
Show less

Title: A diary study of the disruption experiences of crew members on a jobsite (Working Paper)
Creator: Menches, Cindy L., Chen, Juan
Date: 2012-06-01, 2012-06-01
Description: This article demonstrates the use of a diary technique in a construction setting. The advantage of a diary study over other methods for...
Show moreThis article demonstrates the use of a diary technique in a construction setting. The advantage of a diary study over other methods for capturing subjective experience is its ability to capture the thoughts, decisions, actions, and emotions of individuals in situ – while they are working in their natural setting – at multiple points in time during an individual’s workweek. Hence, the diary method is uniquely designed to answer questions about group-level trends as well as individual behavior. The specific goal of the study reported in this article was to derive an understanding of the types of fast decisions and actions that are made following a workflow disruption and how the disruption impacts the worker’s state of mind. The analyses revealed that there was a group-level positive correlation between experiencing a disruption and initiating a fast improvised decision and action. However, some workers tended to improvise frequently when disrupted while others did not. The analyses also revealed that the workers’ emotions fluctuated throughout the week, and two emotions – determined and interested – tended to decline following a disruption. But, some of the workers also experienced increases in their negative emotions while others did not, suggesting that not all workers react in the same way to disruptions. Consequently, the diary technique provides a novel way to identify the impact of disruptive events on worker decision-making and performance.
Sponsorship: National Science Foundation
Show less

Title: Asian American Chicago Network: A Case Study of Facebook Group Use By Immigrant Groups
Creator: Rao, Xi, Hemphill, Libby
Date: 2016, 2016
Publisher: ACM
Description: Through analyzing data from posts and about users, we describe how one particular Facebook group helps immigrants to the U.S. use social media...
Show moreThrough analyzing data from posts and about users, we describe how one particular Facebook group helps immigrants to the U.S. use social media to build a local community. As a preliminary study in intercultural communication through social media, we analyze one case, the Asian American Chicago Network (AACN) Facebook group, and uncover common topics users discuss and relationships between user tenure and various indicators of leadership and interaction. Our small finalized results from this preliminary project suggest that members of AACN likely use it (1) to build a professional network in the U.S.A., and (2) to reinforce and affirm their Asian culture and identities.
Sponsorship: National Science Foundation Award Number 1525662
Rao, X., & Hemphill, L. (2016). Asian American Chicago Network: A Case Study of Facebook Group Use By Immigrant Groups. In Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (pp. 381–384). New York, NY, USA: ACM. http://doi.org/10.1145/2818052.2869077
Show less

Title: SPECTRUM OBSERVATORY BASED TRAFFIC MODELING AND CHANNEL SELECTION IN SUPPORT OF DYNAMIC SPECTRUM ACCESS
Creator: Bacchus, Brent Roger
Date: 2015, 2015-05
Description: It is well known that the exponential growth in popularity of wireless devices has created a demand for radio spectrum that cannot be met with...
Show moreIt is well known that the exponential growth in popularity of wireless devices has created a demand for radio spectrum that cannot be met with current regulatory policies. Despite the difficulty in procuring access to new spectrum resources, many empirical studies have indicated that the majority of spectrum is in-fact unused in the temporal, spatial and/or spectral domains, representing an untapped wealth that must be exploited. Dynamic Spectrum Access (DSA) is a promising technology which aims to improve the efficiency of future radios and alleviate the issue of spectrum under-utilization. This dissertation utilizes the data from the IIT Spectrum Observatory to develop models of channel activity on the Land Mobile Radio (LMR) band (used for critical communication by organizations such as public safety) and shows how such models can be applied to improve the performance of DSA. We demonstrate that LMR traffic may possess multi-timescale behavior – such as clustering and dispersion over different time periods – and propose a novel statistical model to account for these observations based on a multiple emission hidden Markov model. We then used this model to design a collision constrained channel selection algorithm that can permit the re-use of licensed spectrum while minimizing interference with incumbent users. The findings in this work are primarily developed for public safety, however the techniques developed are general enough to be applied to other types of traffic possessing similar characteristics. The proposed model, in particular, is well suited for further analytic work and simulations studies in this area.
Ph.D. in Electrical and Computer Engineering, May 2015
Show less

repository.iit

Search the repository

Pages

Pages

Enabled Filters

Refine Results

Type

Date

Academic status of creator

Department

Subject

Creator

Part of