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Title: Twisted Loop Magnetic Recorder
Creator: Camras, Marvin
Date: 1953-08-04
Description: Sponsorship: Armour Research Foundation of Illinois Institute of Technology
United States Patent

Title: STUDIES TOWARD TOTAL SYNTHESIS OF (-)-DEGUELIN
Creator: Li, Bao
Date: 2013-05-13, 2013-05
Description: Deguelin, as a rotenoid, has emerged as an attractive pharmacophore for chemprevention due to its effectiveness for both in vitro and in vivo...
Show moreDeguelin, as a rotenoid, has emerged as an attractive pharmacophore for chemprevention due to its effectiveness for both in vitro and in vivo models. The biological activity and its structural complexity instigated the development of new synthetic technologies which could satisfy the increasing demand of deguelin, as well as broaden the diversity of the rotenoids. Here, a strategy of asymmetric acid-catalyzed annulations toward the enantioselective total synthesis of (-)-deguelin will be discussed. Several approaches were investigated to connect the chromene and phenolic moieties to create the pentacyclic rotenoid skeleton. Meanwhile, by collaborating with Professor Rajendra Mehta, several derivatives of deguelin were also made to study its bioactivity and interaction modes with specific proteins.
M.S. in Chemistry, May 2013
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Title: Chicago Natatorium
Creator: Payneni, Kesari
Date: 2010-07-29

Title: APPLICATION-AWARE OPTIMIZATIONS FOR BIG DATA ACCESS
Creator: Yin, Yanlong
Date: 2014, 2014-07
Description: Many High-Performance Computing (HPC) applications spend a significant portion of their execution time in accessing data from les and they are...
Show moreMany High-Performance Computing (HPC) applications spend a significant portion of their execution time in accessing data from les and they are becoming increasingly data-intensive. For them, I/O performance is a significant bottleneck leading to wastage of CPU cycles and the corresponding wasted energy consumption. Various optimization techniques exist to improve data access performance. However, the existing general-purpose optimization techniques are not able to satisfy diverse applications' demands. On the other hand, the application-specific optimization pro- cess is usually a difficult task due to the complexity involved in understanding the parallel I/O system and the applications' I/O behaviors. To address these challenges, this thesis proposes an application-aware data access optimization framework and claims that it is feasible and useful to utilize applications' characteristics to improve the performance and efficiency of the parallel I/O system. Under this framework, an optimization may consist of several basic but challenging steps, including capturing the application's characteristics, identifying the causality of I/O performance degra- dation, and delivering optimization solutions. To make these steps easier, we design and implement the IOSIG toolkit as an essential system support for the default par- allel I/O system. The toolkit is able to pro le the applications' I/O behaviors and then generate comprehensive characteristics through trace analysis. With the help of IOSIG, we design several optimization techniques on data layout optimization, data reorganization, and I/O scheduling. The proposed framework has significant poten- tial to boost application-aware I/O optimization. The results prove that the proposed optimization techniques can significantly improve the data access performance.
Ph.D. in Computer Science, July 2014
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Title: COMMUNICATION AND COMPUTATION ARCHITECTURES FOR DISTRIBUTED WIRELESS SENSOR NETWORKS AND INTERNET OF THINGS
Creator: Yi, Won-jae
Date: 2017, 2017-07
Description: Real-time data communication has been viral since the era of the smartphone rose to prominence in this decade. All communications from human...
Show moreReal-time data communication has been viral since the era of the smartphone rose to prominence in this decade. All communications from human to human, from device to human, and from device to device are handled over the Internet connection either through a mobile Internet service provider or Wi-Fi, which enables information exchange including weather service, road traffic conditions, news alerts, package tracking notifications. By looking at different perspectives of the role of a smartphone, it reveals itself as an ideal device to mobilize critical user data to construct a real-time monitoring application such as in remote healthcare and home automation systems. Not only can the smartphone handle real-time data transmissions, but it can also handle real-time computations on the device itself by utilizing its embedded CPU. This dissertation is a comprehensive study of the investigation, exploration and experimentation on a real-time health monitoring system where quality of life can be improved when the conventional system may affect and hamper regular daily activities. The design flow of this system is based on the Internet connection where any device that is communicatively associated with the smartphone can be connected to the Internet. By utilizing the Android smartphone, not only does the system gain real-time data transmission capability, but it also obtains flexibility to communicate with different types of sensors and platforms through multiple wireless protocols. This system is highly adaptable to the currently trending Internet of Things (IoT) standards, where significantly increasing anticipation over its social impact, where it can assist populations in rural and distant areas for healthcare, day-to-day activity monitoring, and prevention against hazardous conditions for workers. The system architecture introduced in this research is focused on reconfigurability and compatibility of wireless sensors where they are independent from a certain platform in which sensors are not limited to medical devices but also detect movement, location, climate condition and any other sensor for analyzing the environment. Four major components are introduced in this research including wireless sensor nodes, a central sensor data processing and communication node, an Android application, and a central database server. They are discussed and explored to seek for solutions to improve and enhance features in the fundamental system design. Communication and computation processing capabilities are evaluated for all major components for practical usage of the system for different case studies. Also as a quantitative case study, a posture and fall detection system is presented which determines the patient's activities, medical conditions and the cause of an emergency event through the integration of all system architecture components. Adapting the IoT system is also explored in this dissertation by introducing a protocol standard to improve data transmission efficiency and to enable cross-platform compatibility of wireless devices. In addition to improving system efficiency, a study on data security issues and assessment on sensor data has been explored by implementing a proposed security scheme to each major component within the real-time mobile monitoring system. Also, a concept of Quality-of-Service (QoS) for mobile monitoring system using a wireless sensor network has been investigated to provide a solution to prioritize sensor data transmissions based on the results obtained from the sensor data assessment application. The proposed solutions can be either implemented on or under the application layer.
Ph.D. in Computer Engineering, July 2017
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Title: Voices -

Title: THE EUML-ARC PROGRAMMING MODEL
Creator: Marth, Kevin
Date: 2014, 2014-07
Description: The EUML-ARC programming model shows that the increasing parallelism available on multi-core processors requires evolutionary (not...
Show moreThe EUML-ARC programming model shows that the increasing parallelism available on multi-core processors requires evolutionary (not revolutionary) changes in software design. The EUML-ARC programming model combines and extends software technology available even before the introduction of multi-core processors to provide software engineers with the ability to specify software systems that expose abstract platform-independent parallelism. The EUML-ARC programming model is a synthesis of Executable UML, the Actor model, role-based modeling, split objects, and aspect-based coordination. Computation in the EUML-ARC programming model is structured in terms of semantic entities composed of actor-based agents whose behaviors are expressed in hierarchical state machines. An entity is composed of a base intrinsic agent and multiple extrinsic role agents, all with dedicated conceptual threads of control. Entities interact through their role agents in the context of featureoriented collaborations orchestrated by coordinator agents. The conceptual threads of control associated with the agents in a software system expose both intra-entity and inter-entity parallelism that is mapped by the EUML-ARC model compiler to the hardware threads available on the target multi-core processor. The hardware and software e ciency achieved with representative benchmark systems show that the EUML-ARC programming model and its compiler can exploit multi-core parallelism while providing a productive model-driven approach to software development.
Ph.D. in Computer Science, July 2014
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Title: Steam jet ash conveyors
Creator: Himelblau, Harry
Date: 2009, 1919
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/steamjetashconve00hime
Thesis (B.S.)--Armour Institute of Technology

Title: REAL-TIME TRAFFIC SIGN RECOGNITION WITH RECONFIGURABLE HARDWARE
Creator: Waite, Sheldon
Date: 2012-07-12, 2012-07
Description: This work describes an implementation of a system that recognizes tra c signs within an image or video frame. In addition it covers a brief...
Show moreThis work describes an implementation of a system that recognizes tra c signs within an image or video frame. In addition it covers a brief history of automotive technology and the safety motivations for the technology presented here. An algo- rithm is presented that takes RGB image data, extracts relevant pixels, lters the image, labels prospective tra c signs and evaluates them against template tra c sign images. Furthermore a system is described that uses a Virtex 5 Xilinx FPGA and the EDK tool kit to create an embedded processor and a hardware IP periph- eral that together implement the algorithm. This implementation is shown to have positive results both in terms of timing performance and accuracy.
M.S. in Computer Engineering, July 2012
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Title: Hafnium Base Alloy (Iridium)
Creator: Hill, Vernon L., Nichols, Harry R.
Date: 2009-04-27, 1971-11-23
Description: Hafnium base alloy containing between about 15 and about 35 weight percent tantalum and between about 2 and about 20 weight percent iridium....
Show moreHafnium base alloy containing between about 15 and about 35 weight percent tantalum and between about 2 and about 20 weight percent iridium. The alloy may also contain aluminum, silicon or chromium as additional alloying agents.
Sponsorship: IIT Research Institute
United States Patent
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Title: DETECTING GNSS SPOOFING ATTACKS USING INS COUPLING
Creator: Tanil, Cagatay
Date: 2016, 2016-12
Description: Vulnerability of Global Navigation Satellite Systems (GNSS) users to signal spoofing is a critical threat to positioning integrity, especially...
Show moreVulnerability of Global Navigation Satellite Systems (GNSS) users to signal spoofing is a critical threat to positioning integrity, especially in aviation applications, where the consequences are potentially catastrophic. In response, this research describes and evaluates a new approach to directly detect spoofing using integrated Inertial Navigation Systems (INS) and fault detection concepts based on integrity monitoring. The monitors developed here can be implemented into positioning systems using INS/GNSS integration via 1) tightly-coupled, 2) loosely-coupled, and 3) uncoupled schemes. New evaluation methods enable the statistical computation of integrity risk resulting from a worst-case spoofing attack – without needing to simulate an unmanageably large number of individual aircraft approaches. Integrity risk is an absolute measure of safety and a well-established metric in aircraft navigation. A novel closed-form solution to the worst-case time sequence of GNSS signals is derived to maximize the integrity risk for each monitor and used in the covariance analyses. This methodology tests the performance of the monitors against the most sophisticated spoofers, capable of tracking the aircraft position – for example, by means of remote tracking or onboard sensing. Another contribution is a comprehensive closed-loop model that encapsulates the vehicle and compensator (estimator and controller) dynamics. A sensitivity analysis uses this model to quantify the leveraging impact of the vehicle’s dynamic responses (e.g., to wind gusts, or to autopilot’s acceleration commands) on the monitor’s detection capability. The performance of the monitors is evaluated for two safety-critical terminal area navigation applications: 1) autonomous shipboard landing and 2) Boeing 747 (B747) landing assisted with Ground Based Augmentation Systems (GBAS). It is demonstrated that for both systems, the monitors are capable of meeting the most stringent precision approach and landing integrity requirements of the International Civil Aviation Organization (ICAO). The statistical evaluation methods developed here can be used as a baseline procedure in the Federal Aviation Administration’s (FAA) certification of spoof-free navigation systems. The final contribution is an investigation of INS sensor quality on detection performance. This determines the minimum sensor requirements to perform standalone GNSS positioning in general en route applications with guaranteed spoofing detection integrity.
Ph.D. in Mechanical and Aerospace Engineering, December 2016
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Title: Process for the Preparation of Ozonates and Compositions Resulting Therefrom
Creator: Kacmarek, Andrew J., Solomon, Irvine J.
Date: 4/23/2009, 1969-01-14
Description: Sponsorship: IIT Research Institute
United States Patent

Title: Redevelopment of Traditional Market
Creator: Joongkyu, Park
Date: 2012-05-01, 2012-05
Description: The old market is medical herbs and dried fish market. Those stores have started with street stalls from 1900. This market was one of the...
Show moreThe old market is medical herbs and dried fish market. Those stores have started with street stalls from 1900. This market was one of the Busan's attractions. However, as department store, big mart and hotels comes around the market. It has lost its competitiveness And this place will be developed as tourist complex area. My goal is to redevelop its original role as market and provide public space for customers and tourist.
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Title: IMPACT OF THERMAL PROCESSING ON THE STRUCTURAL AND IMMUNOLOGICAL PROPERTIES OF MAJOR EGG AND MILK ALLERGENS
Creator: Chandra, Srinivasa Rao
Date: 2011-05-03, 2011-05
Description: The underlying mechanism of food allergy is not well understood. Research has increasingly focused on the characterization of food allergens....
Show moreThe underlying mechanism of food allergy is not well understood. Research has increasingly focused on the characterization of food allergens. Since most foods are cooked prior to consumption, information relating to the impact of thermal processing on the properties of allergenic proteins is critical for allergen risk assessment. This study examined the impact of thermal processing on the structure and the antigenic potential of the major egg and milk allergens, ovomucoid (OVO) and -lactoglobulin (BLG) both A and B variants respectively. OVO and BLG were subjected to thermal processing under moist and dry heat conditions for 10 min. No significant changes in the solubility of both proteins were observed after boiling, autoclaving or dry heating up to 204C. At 232C, a significant protein loss was observed. Inhibition ELISA was used to determine the effect of heat treatment on the capacity of these proteins to bind rabbit derived IgG antibodies. While boiling and autoclaving caused a decrease in IgG binding of OVO, an increase in IgG binding of BLG was observed under the same experimental conditions. A similar pattern that a decrease in antigen binding potentials by OVO and an increase in antigen binding potentials by BLG A and B variants was noticed during dry heat treatment at temperatures 232C and above. Structural analyses were performed using circular dichroism spectroscopy (CD) and differential scanning calorimetry (DSC). Both proteins showed variations in the secondary structure when subjected to heating in water and PBS. In the presence of water, variable temperature scan with CD resulted in transition temperatures of OVO and BLG variants in the range of 70-75oC and 80-85oC respectively. There is no significant change in the secondary structure of BLG variants prepared in PBS. DSC study showed the transition temperatures of 84oC, 129oC for OVO and at 80oC, 195oC for BLG (A & B) variants under moist and dry heat conditions respectively. Overall, both proteins were highly resistant to thermal denaturation and retained their antigenic potential at typical cooking temperatures.
M.S. in Food Safety and Technology, May 2011
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Title: EFFICIENT SCORING AND RANKING OF EXPLANATION FOR DATA EXCHANGE ERRORS IN VAGABOND
Creator: Wang, Zhen
Date: 2014, 2014-05
Description: Data exchange has been widely used in big data era. One challenge for data exchange is to identify the true cause of data errors during the...
Show moreData exchange has been widely used in big data era. One challenge for data exchange is to identify the true cause of data errors during the schema translation. The huge amount of data and schemas make it nearly impossible to find “the” correct solution. Vagabond system is developed to address this problem and use best-effort methods to rank data exchange error explanations base on the likelihood that they are the correct solutions. Ranking done on scoring functions that model some aspects of explanation sets. Examples of these properties include complexity(size of explana- tion), and side effect size(number of correct data values that will be affected by the changes). The thesis introduced three new scoring functions to increase the applicability of Vagabond under various data exchange scenarios. We prove that the monotonicity property required by Vagabond may not hold for some of the new scoring functions, so a new generic ranker is also introduced to efficiently rank error explanations for these new scoring functions as well as for future scoring functions that have boundary property. We can efficiently compute upper or lower bounds on the score of partial solutions. We also completed some performance experiments on the new scoring functions and the new ranker. The experiment result proves that the new scoring functions introduced in this thesis have a scalable performance.
M.S. in Computer Science, May 2014
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Title: Grain Refinement of Beryllium with Tungsten Carbide and Titanium Diboride
Creator: Crossley, Frank A.
Date: 1964-01-07
Description: Sponsorship: IIT Research Institute
United States Patent

Title: Cure for the IKIA Syndrome : presented at IACRL 2008 conference: List of failures
Creator: Uth, Charles, Link, Jeanne
Date: 2008-02
Description: Informal observations of a practical and creative approach piloting Blended Library Instruction for undergraduate Civil Architecture and...
Show moreInformal observations of a practical and creative approach piloting Blended Library Instruction for undergraduate Civil Architecture and Engineering students, in collaboration with faculty. At Illinois Institute of Technology students don’t receive library instruction as a required class or in tandem with a composition class. Faculty will schedule one-time sessions, which ideally should be planned with a class assignment in mind, but students are rarely engaged with a one time instruction. Many have IKIA syndrome or I Know It Already syndrome. The Millennials are a group that has integrated technology into every aspect of their lives and they assume that retrieving useful or necessary information will be easy. When they discover this isn’t the case lack of time, heightened anxiety, and increased frustration can prevent them from doing their best work. By intentionally creating a similar crisis prior to library instruction, students were more interested in what they stood to gain during pending library instruction. In this presentation we will discuss: 1) A creative means of delivering library instruction to a traditionally challenging population: engineering undergraduate students 2) Qualitative information collected via multiple assignments and interpreted in a quantitative fashion, as well as our observations. 3) A method for preparing students for library instruction that can be applied in almost any discipline without asking the instructor to sacrifice class time.
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Title: Optimal Behavior Modeling and Analysis of Electricity Market Participants
Creator: Li, Jie
Date: 2012-04-27, 2012-05
Description: n restructured electricity power markets, competition among market participants is a key issue of concern for both the ISO (Independent System...
Show moren restructured electricity power markets, competition among market participants is a key issue of concern for both the ISO (Independent System Operator) and the market participants themselves. This dissertation analyzes the market behavior of both the generation side and demand side participants, and provides solution guidelines for devising effective competition strategies for market players’ profit maximization objectives. Generation side is the most competitive part in the electricity market with the unbundling of generation, transmission and distribution. Acting as self-interested entities, GENCOs (Generation Companies) are seeking effective and computationally efficient methodology for generation resource scheduling, while keeping its financial risks at acceptable levels when constituting bidding strategies. To help GENCOs achieve such goal, this dissertation propose a game theory based supply function like bidding model to construct the optimal bidding strategies for GENCOs in both energy and ancillary service markets. On the demand side, demand participation in the electricity market has already been advocated for a long time for its benefit to the entire market and the society as a whole. This dissertation focuses on a specific large electricity consumer type – Internet Data Center (IDC). By analyzing the unique energy consumption pattern for different IDC applications, this dissertation devises effective electric demand management solution for IDCs to conserve electricity energy consumption and cut electric bill, and quantifies the demand response effect of IDC on the electricity market.
Ph.D. in Electrical Engineering, May 2012
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Title: Tests on a Martin rotatory converter
Creator: Bacon, M. F., Rensch, R. H.
Date: 2009, 1919
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/testsonmartinrot00baco
Thesis (B.S.)--Armour Institute of Technology; Bibliography: leaves i-ii

Title: Statistical monitoring of multivariable dynamic processes with state-space models
Creator: Negiz, A., Cinar, A.
Date: 1997-08
Publisher: AMER INST CHEMICAL ENGINEERS
Description: Industrial continuous processes may have a large number of process variables and are usually operated for extended periods at fixed operating...
Show moreIndustrial continuous processes may have a large number of process variables and are usually operated for extended periods at fixed operating points under closed-loop control, yielding process measurements that are autocorrelated, cross-correlated and collinear. A statistical process monitoring (SPM) method based on multivariate statistics and system theory is introduced to monitor the variability of such processes. The statistical model that describes the in-control variability is based on a canonical-variate (CV) stare-space model that is an equivalent representation of a vector autoregressive moving-average rime-series model. The CV state variables obtained from the state-space model are linear combinations of the past process measurements that explain the variability of the future measurements the most. Because of this distinctive feature, the CV state variables are regarded as the principal dynamic directions A T-2 statistic based on the CV state variables is used for developing an SPM procedure. Simple examples based on simulated data and an experimental application based on a high-temperature short-time milk pasteurization process illustrate advantages of the proposed SPM method.
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