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(8,121 - 8,140 of 9,586)
Pages
- Title
- The Commons, Illinois Institute of Technology
- Creator
- Strohm, Adam
- Date
- 2015
- Description
-
3200 South Wabash Avenue, Chicago, Illinois
- Collection
- Building History project (buildinghistory.iit.edu)
- Title
- Armour Institute of Technology, Chicago, Illinois, ca. 1901-1919
- Date
- 1901-1919
- Description
-
Photograph of the Armour Institute of Technology campus, including Main Building, Machinery Hall, Armour Mission, Armour Flats, and Ogden...
Show morePhotograph of the Armour Institute of Technology campus, including Main Building, Machinery Hall, Armour Mission, Armour Flats, and Ogden Field. Photographer unknown. Date of photograph is unknown. Date range listed is approximate.
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- Office of Communications and Marketing photographs, 1905-1999
- Title
- Benjamin de Brie Taylor with banner in Hermann Hall, Illinois Institute of Technology, Chicago, IL, ca. 1987
- Date
- 1987
- Description
-
Photograph of Benjamin de Brie Taylor in front of a banner he designed hung in Hermann Hall. Taylor was Director of the Institute of Design at...
Show morePhotograph of Benjamin de Brie Taylor in front of a banner he designed hung in Hermann Hall. Taylor was Director of the Institute of Design at IIT from 1973 to 1975, and remained on the faculty at ID until 1987. Date of photograph is unknown. Date listed is approximate.
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- Office of Communications and Marketing photographs, 1905-1999
- Title
- East Hall, Illinois Institute of Technology
- Creator
- Strohm, Adam
- Date
- 2015
- Description
-
71 East 32nd Street, Chicago, Illinois
- Collection
- Building History project (buildinghistory.iit.edu)
- Title
- Hermann Hall, Illinois Institute of Technology
- Creator
- Strohm, Adam
- Date
- 2015
- Description
-
3241 South Federal Street, Chicago, Illinois
- Collection
- Building History project (buildinghistory.iit.edu)
- Title
- Students in The Bog, Illinois Institute of Technology, Chicago, Illinois, ca. 1972
- Date
- 1970-1974
- Description
-
Photograph of students in The Bog, Illinois Tech's student recreation and dining venue located on the lower level of Hermann Hall....
Show morePhotograph of students in The Bog, Illinois Tech's student recreation and dining venue located on the lower level of Hermann Hall. Photographer unknown. Date of photograph unknown. Date range listed is approximate.
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- Office of Communications and Marketing photographs, 1905-1999
- Title
- South Hall, Illinois Institute of Technology
- Creator
- Strohm, Adam
- Date
- 2015
- Description
-
71 East 32nd Street, Chicago, Illinois
- Collection
- Building History project (buildinghistory.iit.edu)
- Title
- Wishnick Hall, Illinois Institute of Technology
- Creator
- Strohm, Adam
- Date
- 2015
- Description
-
3255 South Dearborn Street, Chicago, Illinois
- Collection
- Building History project (buildinghistory.iit.edu)
- Title
- Institute of Design students with Richard Koppe, Illinois Institute of Technology, Chicago, Illinois, ca. 1955-1963
- Date
- 1955-1963
- Description
-
Photograph of Richard Koppe with Institute of Design students. From attached caption: "Students in the three-dimensional class at the...
Show morePhotograph of Richard Koppe with Institute of Design students. From attached caption: "Students in the three-dimensional class at the Institute of Design of Illinois Institute of Design, Chicago, listen to a critique of their work by Richard Koppe, head of the visual design section." Koppe, who studied at the New Bauhaus, taught at the Institute of Design from 1945-1963. Photographer unknown. Date of photograph unknown. Date range listed is approximate.
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- Office of Communications and Marketing photographs, 1905-1999
- Title
- Barbara Jeanmire at School of Design in Chicago Camouflage Course exhibit, Chicago, Illinois, ca. 1942
- Date
- 1942
- Description
-
Text from attached caption: "Barbara Jeanmire, a student of the School of Designin [sic] Chicago, 247 E Ontario St. studies exhibit set up by...
Show moreText from attached caption: "Barbara Jeanmire, a student of the School of Designin [sic] Chicago, 247 E Ontario St. studies exhibit set up by students of the Camouflage Course. The school graduated over 100 students in Camouflage. Camouflage of tanks, trucks, airplanes, factories, etc., were executed." Photographer unknown. Date of photograph unknown. Date listed is approximate, based on date of student work in photograph.
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- Institute of Design records, 1937-ca. 1962
- Title
- School of Design in Chicago Exhibit B, Chicago, Illinois, ca. 1941-1943
- Date
- 1941-1943
- Description
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Photograph of a School of Design in Chicago exhibit identified only as "Exhibit B," likely held at the school's 247 East Ontario Street...
Show morePhotograph of a School of Design in Chicago exhibit identified only as "Exhibit B," likely held at the school's 247 East Ontario Street location. The photograph shows what appear to be camouflage experiments or exercises by students and an object labeled "texture chart" at right. Photographer unknown. Date of photograph unknown. Date range listed is approximate.
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- Institute of Design records, 1937-ca. 1962
- Title
- Experiments in camouflage, School of Design in Chicago Exhibit B, Chicago, Illinois, ca. 1941-1943
- Date
- 1941-1943
- Description
-
Photograph of a School of Design in Chicago exhibit identified only as "Exhibit B," likely held at the school's 247 East Ontario Street...
Show morePhotograph of a School of Design in Chicago exhibit identified only as "Exhibit B," likely held at the school's 247 East Ontario Street location. Text from attached caption: "Experiments in camouflage. A special course given during World War II by the Institute in collaboration with the Office of Civilian Defense." Photographer unknown. Date of photograph unknown. Date range listed is approximate.
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- Institute of Design records, 1937-ca. 1962
- Title
- Tanner, Robert, Oral History Interview, 2011
- Creator
- Tanner, Robert, Walker, Dale, Kuruna, Daniel
- Date
- 2011-05-01
- Description
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Video interview with Robert (Bob) Tanner, who received a BS in Photography from the Institute of Design in 1959. Tanner recounts his...
Show moreVideo interview with Robert (Bob) Tanner, who received a BS in Photography from the Institute of Design in 1959. Tanner recounts his experience as an undergraduate student under Harry Callahan and Aaron Siskind, and how ID impacted his professional work in film. Running time is 10:15 minutes.
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- Institute of Design Photography Oral History Project, 2011
- Title
- Learning Stochastic Governing Laws from Noisy Data Using Normalizing Flows
- Creator
- McClure, William Jacob
- Date
- 2021
- Description
-
With the increasing availability of massive collections of data, researchers in all sciences need tools to synthesize useful and pertinent...
Show moreWith the increasing availability of massive collections of data, researchers in all sciences need tools to synthesize useful and pertinent descriptors of the systems they study. Perhaps the most fundamental knowledge of a dynamical system is its governing laws, which describe its evolution through time and can be lever-aged for a number of analyses about its behavior. We present a novel technique for learning the infinitesimal generator of a Markovian stochastic process from large, noisy datasets generated by a stochastic system. Knowledge of the generator in turn allows us to find the governing laws for the process. This technique relies on normalizing flows, neural networks that estimate probability densities, to learn the density of time-dependent stochastic processes. We establish the efficacy of this technique on multiple systems with Brownian noise, and use our learned governing laws to perform analysis on one system by solving for its mean exit time. Our approach also allows us to learn other dynamical behaviors such as escape probability and most probable pathways in a system. The potential impact of this technique is far-reaching, since most stochastic processes in various fields are assumed to be Markovian, and the only restriction for applying our method is available data from a time near the beginning of an experiment or recording.
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- Title
- SPECIFICITY OF DEFICITS IN EXECUTIVE FUNCTIONING IN YOUTH WITH NONVERBAL LEARNING DISABILITY, ATTENTION DEFICIT HYPERACTIVITY DISORDER AND READING DISORDER
- Creator
- McCue, Kimberly Ann
- Date
- 2021
- Description
-
Nonverbal Learning Disability (NLD) has been the focus of four decades of neuropsychological research. However, it has yet to be included as a...
Show moreNonverbal Learning Disability (NLD) has been the focus of four decades of neuropsychological research. However, it has yet to be included as a diagnostic category in the Diagnostic and Statistical Manual of Mental Disorders (i.e., currently in its fifth edition, DSM-5, American Psychiatric Association, 2013). Many of the characteristics associated with Nonverbal Learning Disorder (NLD) are similar to those found in other more established disorders such as Attention-Deficit/Hyperactivity Disorder (ADHD), Specific Learning Disorders (SLD), and Autism Spectrum Disorder (ASD). Recent research in neuropsychology and other fields has contributed to a greater understanding of the cognitive profiles of NLD, ADHD, and Reading Disorder (RD). However, the neurological underpinnings of deficits in executive functioning specific to NLD versus ADHD and RD have yet to be fully elucidated. Ongoing research has failed to distinguish NLD from other childhood disorders, including ADHD, based on specific structural or functional neurological deficits. The current study examined the specificity of deficits in executive functioning in youth with nonverbal learning disability, attention deficit hyperactivity disorder and reading disorder. In addition, the study examined the degree to which the Rey Complex Figure Test subscales and Processing Speed Index (PSI) and Working Memory Index (WMI) scores (WISC-IV or WISC-III) could discriminate between the NLD group from ADHD and RD groups. Data for the present study were collected from a population served by the Pediatric Neuropsychological Service at The University of Chicago Medicine. Children who had been referred for neuropsychological assessment and whose comprehensive battery included a WISC measure (WISC-III or WISC-IV) and RCFT measurements were included. All data were archival, i.e., gleaned from the Service database; data from 202 participants was retrieved, including youth who underwent neuropsychological evaluation between 2003 and 2016. The present study hypothesized differences between NLD, ADHD, and RD diagnostic groups on visuo-spatial planning/organization, visuo-spatial working memory, long-term visuo-spatial recall, visuo-spatial recognition, verbal working memory, and processing speed. In summary, of the six executive function domains examined, two domains showed significant underperformance for the NLD group, two domains showed a non-significant trend of underperformance for the NLD group and two domains did not show significant differences between diagnostic groups.
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- Title
- MODELING AND CONTROL OF A GASOLINE-FUELED COMPRESSION IGNITION ENGINE
- Creator
- Pamminger, Michael
- Date
- 2021
- Description
-
This work investigates a novel combustion concept, Gasoline Compression Ignition, that derives its superiority from the high compression ratio...
Show moreThis work investigates a novel combustion concept, Gasoline Compression Ignition, that derives its superiority from the high compression ratio of a compression ignition engine as well as the properties of gasoline fuel, such as longer ignition delay and higher volatility compared to diesel fuel. Gasoline Compression Ignition was experimentally tested on a 12.4L truck engine and the acquired data were leveraged to develop a physics-based 0-dimensional combustion model for an engine operating with a low-reactivity fuel. The proposed 0-dimensional combustion model was developed to account for the different stages in combustion caused by the fuel stratification of various injection events and fuel mass fractions. As the ignition delay model is an integral part of the entire combustion process and significantly affects the predictionaccuracy, special attention was paid to local phenomena influencing ignition delay. A 1-dimensional spray model by Musculus and Kattke was employed in conjunction with a Lagrangian tracking approach in order to estimate the local fuel-air ratio within the spray tip, as a proxy for reactivity. The local fuel-air ratio, in-cylinder temperature and pressure were used in an integral fashion to estimate the ignition delay. Heat release rates were modeled by using first-order non-linear differential equations. Model prediction errors in combustion phasing of less than 1 crank angle degree across most conditions were achieved. Modeling results of other combustion metrics such as combustion duration and indicated mean effective pressure are also suitably accurate. Also, the model has been shown to be capable of estimating the ringing intensity for most conditions. While the performance of the proposed model was very satisfactory, the high computational time made it unsuitable for simulations. The high computational cost was mostly caused by the 1-dimensional spray model which described the fuelstratifcation in the spray tip as a function of crank angle for multiple injection events. Insights obtained from the 1-dimensional spray model were leveraged and applied to a 0-dimensional model to reduce the computation time. With the reduced order model, the simulation time decreased by three orders of magnitude for an entire engine cycle over the combustion model with the 1-dimensional spray model. Capturing only the basic features of the spray propagation did not show a substantial increase in prediction error compared to the initially proposed model. In order for this model to reflect a virtual engine, the influence of changes in actuator settings on intake manifold dynamics was modeled with first-order transfer functions. The intake manifold dynamics in turn influence intake valve closure conditions and further the entire combustion process. The proposed model provides information about in-cylinder metrics such as combustion phasing and indicated mean effective pressure. By taking into account the losses due to gas-exchange and friction, the brake mean effective pressure was modeled. The model was also augmented to capture cycle-to-cycle variations, thereby ensuring a faithful representation of real engine behavior. The Gasoline Compression Ignition combustion model, the intake dynamics and gas-exchange and friction model as well as the cycle-to-cycle variations model were combined to create a full engine model. This Gasoline Compression Ignition engine model was used as the plant in a control system and implemented in Matlab/Simulink.The Gasoline Compression Ignition engine model was then leveraged to investigate control actions and engine behavior with and without limiting in-cylinder peak pressure as well as combustion noise. Controlling combustion noise is of particular interest for injection strategies where fuel introduction happens early in the cycle. State estimation was performed by means of a Kalman filter which feeds into a model predictive controller. The model predictive controller chooses control actions based on a predefined cost function under consideration of bounds reflecting physical constraints. The Gasoline Compression Ignition engine model was also utilized to establish a state-space model that serves the Kalman filter and model predictive controller for estimation and prediction. In addition, the proposed control architecture was investigated at two different levels of cycle-to-cycle variations. Disturbance rejection was implemented to reduce state fluctuations and control efforts when high cycle-to-cycle variations are present. The control algorithm is able to maintain the desired references for brake mean effective pressure and combustion phasing while controlling peak in-cylinder pressure and combustion noise.
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- Title
- POTENTIAL EXPOSURE TO SUBSTANCES IN POLYMER COMPOSITES USED AS FOOD PACKAGING MATERIALS
- Creator
- Shah, Saloni S.
- Date
- 2021
- Description
-
In the food manufacturing, preservation, supply, and distribution chain, packaging plays a critical role. The fundamental goal of any...
Show moreIn the food manufacturing, preservation, supply, and distribution chain, packaging plays a critical role. The fundamental goal of any packaging method is to keep food contained and protected. There is an increasing demand for natural and "fresh-like" foods that are less processed and have a longer shelf life, necessitating a variety of packing strategies. With increasing demand, the biggest developments in the field of packaging technology have been innovative food packaging approaches, such as active packaging, intelligent packaging, and bioactive packaging, which include deliberate contact with the food or its surroundings and its effect on consumer health. Several research studies in the past few years have shown that nanocomposite materials have significant improvement in the strength, barrier characteristics, antimicrobial capabilities, and heat and cold stability of food packaging materials, but various studies have reported that these composites might be a source of engineered nanomaterials in the human diet or environment. It has also been reported in numerous studies that nanocomposites can migrate into the food during long-term storage. These studies use food simulants like acetic acid and water to mimic the food matrix. However, they raise issues regarding how ingredients in real foods could affect exposure. This research focuses on the migration of silver (Ag) ions into food matrix-like commercial beverages and demonstrating if the ingredients present in commercial food and beverages influence the migration process. For the study, polymer composites films and dogbones were made. Polymer composite films with 0.2%, 1%, and 5% of silver zeolite concentration in polylactic acid (PLA) were produced, and different media like water, Domino sugar, and Squirt were stored in packages manufactured from this material under accelerated room-temperature conditions. Polymer composite dogbones were made with low-density polyethylene (LDPE) and polypropylene (PP) with 1.25% and 2.51% of graphene and graphite. Further, these materials were characterized with the help of Thermogravimetric analysis (TGA), Fourier Transform Infrared Spectroscopy-Attenuated Total Reflection (FTIR-ATR), and inductively coupled plasma mass spectrometry (ICPMS). This hypothesis of this study was that, when polymer composites are employed in packaging applications, food and beverage components may impact dietary exposure to these particles, and the use of food simulants may underpredict the quantity of the migration in some cases
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- Title
- AUTOMATION OF ULTRASONIC FLAW DETECTION APPLICATIONS USING DEEP LEARNING ALGORITHMS
- Creator
- Virupakshappa, Kushal
- Date
- 2021
- Description
-
The Industrial Revolution-4.0 promises to integrate multiple technologies including but not limited to automation, cloud computing, robotics,...
Show moreThe Industrial Revolution-4.0 promises to integrate multiple technologies including but not limited to automation, cloud computing, robotics, and Artificial Intelligence. The non-Destructive Testing (NDT) industry has been shifting towards automation as well. For ultrasound-based NDT, these technological advancements facilitate smart systems hosting complex signal processing algorithms. Therefore, this thesis introduces the effective use of AI algorithms in challenging NDT scenarios. The first objective is to investigate and evaluate the performance of both supervised and unsupervised machine learning algorithms and optimize them for ultrasonic flaw detection utilizing Amplitude-scan (A-scan) data. Several inferences and optimization algorithms have been evaluated. It has been observed that proper choice of features for specific inference algorithms leads to accurate flaw detection. The second objective of this study is the hardware realization of the ultrasonic flaw detection algorithms on embedded systems. Support Vector Machine algorithm has been implemented on a Tegra K1 GPU platform and Supervised Machine Learning algorithms have been implemented on a Zynq FPGA for a comparative study. The third main objective is to introduce new deep learning architectures for more complex flaw detection applications including classification of flaw types and robust detection of multiple flaws in B-scan data. The proposed Deep Learning pipeline combines a novel grid-based localization architecture with meta-learning. This provides a generalized flaw detection solution wherein additional flaw types can be used for inference without retraining or changing the deep learning architecture. Results show that the proposed algorithm performs well in more complex scenarios with high clutter noise and the results are comparable with traditional CNN and achieve the goal of generality and robustness.
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- Title
- Alignment of Science-Themed Trade Books to the Next Generation Science Standards
- Creator
- Shepard, Kelly Marie
- Date
- 2021
- Description
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Elementary teachers often integrate science-themed trade books into their science and reading lessons. This study examines the alignment of...
Show moreElementary teachers often integrate science-themed trade books into their science and reading lessons. This study examines the alignment of science-themed trade books written for readers in Kindergarten through fifth-grade to the Next Generation Science Standards Disciplinary Core Ideas (NGSS DCI). The goal of this research is to analyze the scientific concepts presented in the text of the trade books recommended by professional organizations dedicated to science and science education. Research finds that integrated science and reading are valuable for elementary students’ understandings of science. This study addresses two problems: 1) elementary teachers have limited scientific knowledge and 2) there is a dearth of research that examines the expression of NGSS DCI in science-themed trade books for K-5th grades. The sample is selected from booklists compiled by professional organizations devoted to science and science education. A deductive content analysis methodology is used to identify the presence of NGSS DCI in trade books. Descriptive statistics and qualitative data analyses are used to reveal the themes in the collected data. A large majority of the sample is aligned to the NGSS DCI for K-5th grade. Most trade books express NGSS DCI at the grade levels for which they are recommended. The study is limited and does not examine the readability of trade books, scientific vocabulary, or images. This study contributes to the research on the intersection between science and reading for elementary grade levels.
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- Title
- DEVELOPMENT OF BIOMARKERS OF SMALL VESSEL DISEASE IN AGING
- Creator
- Makkinejad, Nazanin
- Date
- 2021
- Description
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Age-related neuropathologies including cerebrovascular and neurodegenerative diseases play a critical role in cognitive dysfunction, and...
Show moreAge-related neuropathologies including cerebrovascular and neurodegenerative diseases play a critical role in cognitive dysfunction, and development of dementia. Designing methodologies for early prediction of these diseases are much needed. Since multiple pathologies commonly coexist in brains of older adults, clinical diagnosis lacks the specificity to isolate the pathology of interest, and gold standard is determined only at autopsy. Magnetic resonance imaging (MRI) provides a non-invasive tool to study abnormalities in brain characteristics that is unique to each pathology. Utilizing ex-vivo MRI for brain imaging proves to be useful as it eliminates two important biases of in-vivo MRI. First, no additional pathology would develop between imaging and pathologic examination, and second, frail older adults would not be excluded from MRI.Hence, the aims of this dissertation were two-fold: to study brain correlates of age- related neuropathologies, and to develop and validate classifiers of small vessel diseases by combining ex-vivo MRI and pathology in a large community cohort of older adults. The structure of the project is as follows.First, the association of amygdala volume and shape with transactive response DNA-binding protein 43 (TDP-43) pathology was investigated. Using a regularized regression technique, higher TDP-43 was associated with lower amygdala volume. Also, shape analysis of amygdala showed unique patterns of spatial atrophy associated with TDP-43 independent of other pathologies. Lastly, using linear mixed effect models, amygdala volume was shown to explain an additional portion of variance in cognitive decline above and beyond what was explained by the neuropathologies and demographics.Second, the previous study was extended to analyze other subcortical regions including the hippocampus, thalamus, nucleus accumbens, caudate, and putamen, and was also conducted in a larger dataset. The results showed unique contribution of TDP-43, neurofibrillary tangles (hallmark characteristic of Alzheimer’s disease pathology), and atherosclerosis (a cerebrovascular pathology) to atrophy on the surface of subcortical structures. Understanding the independent effects of each pathology on volume and shape of different brain regions can form a basis for the development of classifiers of age-related neuropathologies.Third, an in-vivo classifier of arteriolosclerosis was developed and validated. Arteriolosclerosis is one of the main pathologies of small vessel disease, is associated with cognitive decline and dementia, and currently has no standard biomarker available. In this work, the classifier was developed ex-vivo using machine learning (ML) techniques and was then translated to in-vivo. The in-vivo classifier was packaged as a software called ARTS, which outputs a score that is the likelihood of arteriolosclerosis when the required input is given to the software. It was tested and validated in various cohorts and showed to have high performance in predicting the pathology. It was also shown that higher ARTS score was associated with greater cognitive decline in domains that are specific to small vessel disease.Fourth, motivated by current trends and superiority of deep learning (DL) techniques in classification tasks in computer vision and medical imaging, a preliminary study was designed to use DL for training an ex-vivo classifier of arteriolosclerosis. Specifically, convolutional neural networks (CNNs) were applied on 3 Tesla ex-vivo MR images directly without providing prior information of brain correlates of arteriolosclerosis. One interesting aspect of the results was that the network learnt that white matter hyperintense lesions contributed the most to classification of arteriolosclerosis. These results were encouraging, and more future work will exploit the capability of DL techniques alongside the traditional ML approaches for more automation and possibly better performance.Finally, a preliminary classifier of arteriolosclerosis and small vessel atherosclerosis was developed since the existence of both pathologies in brain have devastating effects on cognition. The methodology was similar to the one used for development of arteriolosclerosis classifier with minor differences. The classifier showed a good performance in-vivo, although the testing needs to be assessed in more cohorts.The comprehensive study of age-related neuropathologies and their contribution to abnormalities of subcortical brain structures offers a great potential to develop a biomarker of each pathology. Also, the finding that the MR-based classifier of arteriolosclerosis showed high performance in-vivo demonstrate the potential of ex-vivo studies for development of biomarkers that are precise (because they are based on autopsy, which is the gold standard) and are expected to work well in-vivo. The implications of this study include development of biomarkers that could potentially be used in refined participant selection and enhanced monitoring of the treatment response in clinical drug and prevention trials.
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