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Title: SECURITY-CONSTRAINED UNIT COMMITMENT WITH UNCERTAINTIES
Creator: Yao, Yiyun
Date: 2015, 2015-05
Description: In the first part of this thesis, an adaptive robust optimization model is developed for the SCUC problem in presence of uncertain load and...
Show moreIn the first part of this thesis, an adaptive robust optimization model is developed for the SCUC problem in presence of uncertain load and wind power. The model aims to minimize the operation cost for the base case SCUC problem with forecasted load and wind power, and meanwhile guarantee that the robust solution can be adaptively and securely adjusted to respond to all possible uncertain load and wind power realizations. In addition, this model considers the correlations between different uncertainty factors to limit the level of conservatism. Benders decomposition is used to divide the original problem into a master UC problem and three subproblems for hourly network evaluation, identification of the worst uncertainty realization in terms of the highest minimum network violations, and feasibility check of the worst uncertainty realization. Numerical case studies on a six-bus system show the effectiveness of the adaptive robust SCUC for the secure and economic operation of power systems under uncertainties. In the second part of this thesis, a scenario based SCUC model is discussed, which considers an alternative ‗randomized‘ approach for dealing with uncertainties in the SCUC problem. The based case SCUC with forecasted wind power and load is solved firstly. Then a finite set of scenarios are sampled randomly to represent uncertain load and wind power. The initial dispatch is checked and corrective action is considered to satisfy uncertain load and wind power in simulated scenarios. Numerical case studies on a six-bus system are conducted to evaluate the performances of the scenario based SCUC method.
M.S. in Electrical Engineering, May 2015
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Title: The Tall Building: The Effects of Scale
Creator: Goldsmith, Myron
Date: 2011-01-31, 1953-06-01
Description: The project described in this thesis is a new structural type for tall buildings in reinforced concrete. Both structure and function have been...
Show moreThe project described in this thesis is a new structural type for tall buildings in reinforced concrete. Both structure and function have been analyzed to show their influence on the height of the building and their influence on the architectural expression.
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Title: SYNTHESIS AND STRUCTURAL INVESTIGATION OF POLYOXOVANADATE SYSTEMS FOR SEMICONDUCTOR NOx SENSING
Creator: Ravikanth Putrevu, Naga
Date: 2013, 2013-12
Description: Nitrogen oxides (NO and NO2 collectively termed as NOx) are the common air pollutants produced from various indoor and outdoor activities. It...
Show moreNitrogen oxides (NO and NO2 collectively termed as NOx) are the common air pollutants produced from various indoor and outdoor activities. It can cause several environmental problems like ground-level ozone, acid rain, particulate matter, smog formation and health problems like malfunctioning of lungs, damaging air flow passages and creating respiratory problems. To detect these gases, sensors with greater sensitivity, lower recovery time and longer life time are needed. Despite the advantages, of the most widely used NOx sensing materials, semiconducting metal oxides have the limitations like higher operating temperatures and unable to customize the materials with better sensitivity and selectivity. So the current research discusses about a new class of metal oxide systems called polyoxovanadates (POV) and its suitability for the ambient operating conditions. These POVs are basically the vanadium oxide clusters synthesized in top-down and bottom-up synthesis procedures. The main advantages of these systems are possible to synthesize in various sizes, shapes, geometries and dimensions which can help identifying the suitable material for a specific gas. The experimental part discusses about the synthesis, characterization and semiconducting sensing properties of different POV systems using various atomic and molecular spectroscopic techniques. In Chapter 2, a 3-D open framework polyoxovanadate material, [Cd3(H2O)12V16 IVV2 VO36(OH)6(AO4)]·24H2O, (A=V,S) (1), composed of secondary building blocks ({V18O42(AO4)} (A=V,S) clusters) interconnected by {-O-Cd-O-} bridging groups, was chosen for understanding the effect of atmospheric oxygen on 1 electronic properties like band gap and resistance, considering the oxygen as a common xiv interferent in ambient gas sensing. The results explain that 1 interacts with oxygen during the aging process and results changing the vanadium oxidation state from +4 to +5 and expanding the coordination sphere of vanadium from 5 to 6. This expansion can alter the band gap by overlapping the more number of O 2p orbitals with V 3d orbitals and resulting the decrease in resistance. The experiments conducted on molecular {V18O42(AO4)} (A=V,S) cluster, (NH4)8[VIV 12VV 6O42(SO4)]·10H2O, (2a), in Chapter 3, also shown the similar change in band gap and resistance during aging process. Based on the results obtained in Chapter 2 and Chapter 3, a {VO6} containing vanadium oxide cluster, (NH4)2[Ni(H2O)5(NH3)]2[V10O28]·4H2O (4), was synthesized and proved in Chapter 4, that the higher coordination number help lowering the band gap and the resistance without need of aging. In Chapter 5, the NOx sensing properties of 1, 2a, 3 and 4 were studied and compared with well studied NOx sensing material, WO3. Based on the sensing characteristics, 1 shows good sensitivity and response time towards both NO and NO2 under ambient conditions than all the other materials. The FTIR spectroscopy results indicated that the NO2 sensing mechanism occurs via nitrate formation.
PH.D in Chemistry, December 2013
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Title: DESIGN AND ANALYSIS OF AN UNCONVENTIONAL PERMANENT MAGNET LINEAR MACHINE FOR ENERGY HARVESTING
Creator: Zeng, Peng
Date: 2011-11, 2011-12
Description: The rise of global energy consumption and the growing trend to utilize clean energy stress the demand to harvest the untapped green energy...
Show moreThe rise of global energy consumption and the growing trend to utilize clean energy stress the demand to harvest the untapped green energy existing in every day life of human kind. Among the commonly over-looked energy resources, the kinetic motions including the vibration generated by linear motion and the vibration existent in ambient environment prove to own strong energy potentials. Though so far a number of such kinetic energy harvesters have already been studied, these existent energy harvesting devices can be improved on multiple aspects from power density, usage efficiency of expensive permanent magnetic material, to optimization of interface power electronics. This Ph.D. dissertation proposes an unconventional high power density linear electromagnetic kinetic energy harvester, and a high-performance two-stage interface power electronics to maintain maximum power abstraction from the energy source and charge the Li-ion battery load with constant current of low ripple at the same time. The proposed machine architecture is composed of a double-sided flat type silicon steel stator with winding slots, a permanent magnet mover, coil windings, a linear motion guide and an adjustable spring bearing. The unconventional design of the machine is that NdFeB magnet bars in the mover are placed with magnetic fields in horizontal direction instead of vertical direction and the same magnetic poles are facing each other. The derived magnetic equivalent circuit model proves the average air-gap flux density of the novel topology is as high as 0.73 T with 17.7% improvement over that of the conventional topology at the given geometric dimensions of the proof-of-concept machine. Subsequently, the improved output voltage and power are achieved. The dynamic model of the linear generator is also developed, and the analytical equations of output maximum xv power are derived for the case of driving vibration with amplitude that is equal, smaller and larger than the relative displacement between the mover and the stator of the machine respectively. Furthermore, the finite element analysis (FEA) model has been built and simulated to prove the derived analytical results and the improved power generation capability. Also, an optimization framework is explored to extend the dynamic system modeling method of the proposed single-Degree-of-Freedom (1-DOF) linear generator to the multi-Degree-of-Freedom (n-DOF) vibration based linear energy harvesting devices with multi proof masses and springs. Moreover, a boost-buck cascaded switch mode converter with current controller is designed to extract the maximum power from the harvester and charge the Li-ion battery with trickle current. Meanwhile, a maximum power point tracking (MPPT) algorithm is proposed and optimized for low frequency driving vibrations. Finally, a proof-of-concept unconventional PM linear generator is prototyped and tested to verify the simulation results of the FEA model. For the coil windings of 33, 66 and 165 turns, the output power of the machine is tested to have the output power of 65.6 mW, 189.1 mW, and 497.7 mW respectively with the maximum power density of 2.486 mW/cm3.
Ph.D. in Electrical Engineering, December 2011
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Title: SAFETY PERFORMANCE EVALUATION OF INTERSECTION TRAFFIC AND SAFETY ASSETS: METHODOLOGY AND APPLICATION
Creator: Kim, Han Gyol
Date: 2012-11-27, 2012-12
Description: Due to the large number of intersections in transportation networks, the complexity of potential conflicting traffic movements, and the wide...
Show moreDue to the large number of intersections in transportation networks, the complexity of potential conflicting traffic movements, and the wide variety of geometric and operational features at these locations, the safety at roadway intersections is of significant interest. A variety of crash types occur at intersections every year including head-on, sideswipe-same, sideswipe-opposite, fixed object, rear-end, fixed object, turning, and angle crashes. While a total of crashes at intersections may not reveal a site deficiency, prevalence of a specific crash type may reveal otherwise undetected deficiencies. To analyze the interrelation between deficiencies and crashes, a risk-based methodology is for computing a safety index that assesses impacts of safety hardware conditions on vehicle crashes. It incorporates a disaggregated risk-based approach for computing the safety index that assesses the impacts of intersection safety hardware such as signs, signals, lighting, and pavement markings on vehicle crashes. With safety indices estimated before and after implementation of an intersection safety hardware project, the annual potential for safety improvements (PSI) could be computed. Potential hazards, which are assessed by measuring risk in relation to road features that may lead to future crashes, so that remedial treatments may be implemented before crashes happen. A computational study is conducted for methodology application and validation to remove or change the features which contributed to those past crashes using 7-year data on 93 signalized intersections which have been equipped with red-light running enforcement devices in Chicago, Illinois. The results are compared with Empirical xii Bayesian Estimates via the statistical tests in order to validate the proposed methodology. Finally, it discusses future directions for continuing refinements of the proposed riskbased methodology. The proposed methodology could be adopted by state and large-scale local transportation agencies for intersection safety hardware project evaluation.
M.S. in Civil Engineering, December 2012
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Title: SAFETY IMPACTS OF INTERSECTION RED LIGHT ENFORCEMENT IN CITY OF CHICAGO
Creator: Lee, Yongdoo
Date: 2011-07-19, 2011-07
Description: Red light running at highway intersections has been a major safety concern in the United States because it often results in a...
Show moreRed light running at highway intersections has been a major safety concern in the United States because it often results in a disproportionally higher percentage of injuries than other type of crashes. Statistics shows that about 45 percent of red-light running crashes would cause injuries compare to 30 percent associated with other type of crashes. Over the past decade, many city and county governments in the United States have begun to deploy red-light enforcement systems aimed to reduce red-light running related crashes for the benefits of safety improvements. In particular, the city of Chicago has implemented the red-light enforcement system since 2004. As of the end of 2010, more than 200 signalized intersections have been equipped with red light enforcement devices. This research attempts to evaluate the effectiveness of red light enforcement system deployed in Chicago in reducing types of target crashes including head-on, rear-end, angle, turning, sideswipe- same direction, and sideswipe- opposite direction by fatal, injury, and property damage only (PDO) crash severity category. Data on approximately 1,000 signalized intersections are collected for the analysis. These intersections are classified as three categories: untreated intersections without signal modernization and no red light enforcement, Type I treated intersections with both signal modernization and red light enforcement, and Type II treated intersections with signal modernization only. The Empirical Bayesian (EB) approach has been employed to quantify the crash reduction effects of red light enforcement that would avoid the regression-to-mean biases in the estimation. First, data on untreated intersections are used to calibrate safety performance functions for injury, PDO, and total crashes per intersection per year. The SPFs are then used to establish the EB-adjusted crash frequencies for Type I treated intersections for the before modernization period and Type II treated intersections for the before modernization period and red light enforcement period, respectively. The EB-adjusted crashes for Type I and Type II treated intersections for the after treatment period could be established by adjusting the before and after treatment period traffic volumes accordingly. The differences between EB-adjusted crashes and field observed crashes for Type I and Type II treated intersections for the after treatment period are the effect of signal modernization and combined effect of signal modernization and red light enforcement. The difference of the two effects thus represents the pure effect of red light enforcement. The effect of red light enforcement is further assessed by differentiating the Type I and Type II treated intersections according to number of through movement lanes and annual average daily traffic (AADT) range, respectively. For all target crashes including head-on, rear-end, angle, turning, sideswipe in the same direction, and sideswipe in the opposite direction combined, red light enforcement could on average reduce fatal crashes by 4 percent to 48 percent. Red light enforcement may increase injury crashes by 16 percent and decrease injury crashes by 8 percent. Red light enforcement may increase PDO crashes by one to 10 percent. The safety impacts of red light enforcement are separately assessed for different types of target crashes. For fatal crashes, red light enforcement may reduce fatal crashes by -1.4-1.2 percent for head-on crashes, 4-19 percent for rear-end crashes, 0.3-11 percent for angle crashes, -1.2-8 percent for turning crashes, 2-8.6 percent for sideswipe crashes in the same direction, and -0.4- 1.6 percent for sideswipe crashes in the opposite direction, respectively. Red light enforcement is generally ineffective in reducing PDO crashes. For all target crashes combined, the PDO crash increases could vary between 0.6 percent and 10.1 percent. For different types of target crashes, the highest PDO crash increases range from 0.2 percent for head-on crashes to 4.4 percent for rear-end crashes. Mixed results are obtained for red light enforcement on reducing injury crashes. For all target crashes combined, the injury crash could decrease as high as up to 8.2 percent and increase by approximately 16.3 percent. For different types of target crashes, the injury crashes may reduce by 4.7 percent for rear-end crashes to increase by 8 percent for rear-end crashes.
M.S. in Civil Engineering, July 2011
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Title: EXAMINING HEALTHCARE UTILIZATION AMONG HOMELESS WOMEN: THE ROLES OF CHRONIC ILLNESS, PTSD RELATED SYMPTOMS, AND SOCIAL SUPPORT
Creator: Osborn, Amanda
Date: 2016, 2016-07
Description: Homeless women face many psychological and physical challenges to their health, but they often report underutilizing needed healthcare...
Show moreHomeless women face many psychological and physical challenges to their health, but they often report underutilizing needed healthcare services. This trend in healthcare utilization often leads to further health decline. Research has shown that chronic illness, post-traumatic stress disorder (PTSD) related symptoms, and social support is associated with differential patterns in healthcare utilization. This study examined how healthcare utilization patterns of homeless women (N=317) related to these factors. The study tested six hypotheses. The first and second hypotheses predicted that increases in PTSD related symptoms and number of chronic health conditions would be associated with increases in healthcare utilization. The third hypothesis predicted that perceived support from friends would moderate the relation between PTSD related symptoms and healthcare utilization. The fourth hypothesis predicted that perceived familial support would not significantly moderate the relation between PTSD related symptoms and healthcare utilization. The fifth hypothesis predicted that perceived support from friends would also moderate the relation between number of chronic health conditions and healthcare utilization. The sixth hypothesis predicted that perceived familial support would not significantly moderate the relation between number of chronic health conditions and healthcare utilization. Results show the only significant predictor of healthcare utilization was the number of chronic health conditions, such that for each additional diagnosis there was a 17% increase in accessing healthcare utilization. Clinical implications, strengths, limitations, and future research are discussed.
M.S. in Psychology, July 2016
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Title: MULTIYEAR AUTOMATED ANALYSIS OF AURORAL IMAGES TO CATEGORIZE IONOSPHERE IRREGULARITY LAYER
Creator: Stuart, David Jacques
Date: 2020
Description: This thesis presents a method of automated analysis of auroral all-sky images (ASIs) to determine the ionospheric layer of plasma...
Show moreThis thesis presents a method of automated analysis of auroral all-sky images (ASIs) to determine the ionospheric layer of plasma irregularities. These irregularities can perturb radio signals in an effect called scintillation, degrading and at worst preventing signal reception. One key question about scintillation-causing irregularities is whether they occur in the E or F layer of the ionosphere, whose dynamics differ.Previous studies have shown Global Positioning System (GPS) scintillation to be correlated with aurorae. The Scintillation Auroral GPS Array (SAGA) at Poker Flat Research Range, Alaska, was used to detect thousands of GPS L1 and L2C scintillation events over 2014-2015. Collocated auroral images of emissions are recorded nightly by both a keogram spectrograph (measuring intensity along a single longitude vs time) and an ASI filtered at 630.0 nm (red), 557.7 nm (green), and 427.8 nm (blue) wavelengths.In this work scattering layers are hypothesized based on optical measurements, through automated filtering of keograms followed by spectral analysis of aurorae, which tend to occur with these irregularities. A cloud detection method using the North-South keogram is implemented, where a time-averaged, intensity-corrected characteristic snapshot of cloudy times was built as a baseline response, and used as the gain in a flat field correction-like step to normalize the cloudy sky appearance. The coefficient of variation Cv is used as the test statistic to determine cloudy times. Cloud-free ASIs have the location of scintillating PRNs identified, and the ratio of red oxygen 630 nm to blue nitrogen 428 nm emissions in that direction. With an auroral model of characteristic energy, ratios above 0.5 are categorized E-Layer and ratios below F-Layer.Multiyear ASI irregularity layer determinations are used to categorize 364 of the initial 4174 SAGA scintillation events. A 77% majority of the events are hypothesized to be F-Layer based on ASI spectral classification. This disagrees with prior PFISR categorizations, which found scintillation events to be majority E-layer. This presents an outstanding question as to the possible reasons for the difference.
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Title: Removing Confounds in Text Classification for Computational Social Science
Creator: Landeiro Dos Reis, Virgile
Date: 2018
Description: Nowadays, one can use social media and other online platforms to communicate with friends and family, write a review for a product, ask...
Show moreNowadays, one can use social media and other online platforms to communicate with friends and family, write a review for a product, ask questions about a topic of interest, or even share details of private life with the rest of the world. The ever-increasing amount of user-generated content has provided researchers with data that can offer insights on human behavior. Because of that, the field of computational social science - at the intersection of machine learning and social sciences - has soared in the past years, especially within the field of public health research. However, working with large amounts of user-generated data creates new issues. In this thesis, we propose solutions for two problems encountered in computational social science and related to confounding bias.First, because of the anonymity provided by online forums, social networks, or other blogging platforms through the common usage of usernames, it is hard to get accurate information about users such as gender, age, or ethnicity. Therefore, although collecting data on a specific topic is made easier, conducting an observational study with this type of data is not simple. Indeed, when one wishes to run a study to measure the effect of a variable on another variable, one needs to control for potential confounding variables. In the case of user-generated data, these potential confounding variables are at best noisily observed or inferred and at worst not observed at all. In this work, we wish to provide a way to use these inferred latent attributes in order to conduct an observational study while reducing the effect of confounding bias as much as possible. We first present a simple matching method in a large-scale observational study. Then, we propose a method to retrieve relevant and representative documents through adaptive query building in order to build the treatment and control groups of an observational study.Second, we focus on the problem of controlling for confounding variables when the influence of these variables on the target variable of a classification problem changes over time. Although identifying and controlling for confounding variables has been assiduously studied in empirical social science, it is often neglected in text classification. This can be understood by the fact that, if we assume that the impact of confounding variables does not change between the training and the testing data, then prediction accuracy should only be slightly affected. Yet, this assumption often does not hold when working with user-generated text. Because of this, computational science studies are at risk of reaching false conclusions when based on text classifiers that are not controlling for confounding variables. In this document, we propose to build a classifier that is robust to confounding bias shift, and we show that we can build such a classifier in different situations: when there are one or more observed confounding variables, when there is one noisily predicted confounding variable, or when the confounding variable is unknown but can be detected through topic modeling.
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Title: PRIVACY PRESERVING BAG PREPARATION FOR LEARNING FROM LABEL PROPORTION
Creator: Yan, Xinzhou
Date: 2018
Description: We apply Privacy-preserving data mining standards (PPDM) to the Learning from label proportion (LLP) model to create the Private-preserving...
Show moreWe apply Privacy-preserving data mining standards (PPDM) to the Learning from label proportion (LLP) model to create the Private-preserving machine learning framework. We design the data preparation step for the LLP framework to meet the PPDM standards. In the data preparation step, we develop a bag selection method to boost the accuracy of the LLP model by more than 7%. Besides that, we propose three K- anonymous aggregation methods for the datasets which have almost zero accuracy loss and very robust. After the K-anonymous step, we apply Differential privacy to the LLP model and ensure a low accuracy loss for the LLP modelBecause of the LLP model’s special loss function, not only it is possible to replace all the feature vectors with the mean feature vector within each bag, but also the accuracy loss caused by Differential privacy can be bounded by a small number. The loss function ensures low accuracy loss when training LLP model on PPDM dataset. We evaluate the PPDM LLP model on two datasets, one is the Adult dataset and the other is the Instagram comment dataset. Both of them give empirical evidence of the low accuracy loss after applying the PPDM LLP model.
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Title: Highly Robust Battery-Management System Design for Series Connected Lithium-ion Battery Packs
Creator: Zhang, Yunlong
Date: 2019
Description: Because of the manufacturing variances, the individual cells in a battery pack might have different capacities and be at different levels of...
Show moreBecause of the manufacturing variances, the individual cells in a battery pack might have different capacities and be at different levels of state-of-charge (SOC). Typically, battery balancing in the battery management system (BMS) is the process to equalize the level of SOC of each battery cell in the battery pack. Without effective and appropriate battery balancing, the smallest capacity cell will limit the energy that can be delivered from or charged into the battery pack. Besides, balancing process eliminates the potential of overcharge and overdischarge which is harmful for the battery life cycles and may result in the battery pack explosion. Lithium-ion rechargeable battery cells are rather more sensitive to over-charging/discharging and over-temperature than most commonly used battery chemistries. In this thesis, we proposed the efficiency optimization of the SOC based balancing for series connected lithium-ion battery packs.There are two categories of balancing methods, passive and active. In passive balancing, energy is dissipated through resistors as heat; in active balancing, energy is transferred from the most charged cell(s) to the least charged cell(s) with equalizer(s). Since the balancing efficiency of cell-to-cell (CTC) and cell-to-pack-to-cell (CPC) active methods is higher than any other balancing technique, our optimized balancing scheme in this thesis is implemented based on these two active methods. Because we need to design and manufacture the BMS Printed circuit board (PCB), we have to figure out one optimized balancing circuit by analyzing the different initial SOC distributions and multiple balancing topologies. Not only the minimal energy dissipation of balancing process, but also the structural hazard of different balancing topologies that we need to take into account in the balancing efficiency evaluation for different balancing topologies.OrCAD capture tool from Cadence is the widely used Electronic design automation (EDA) tool to simulate the function of designed real circuit. Because it is too complicated to provided the discrepant control signals for different equalizers in OrCAD, and the simulation runtime of OrCAD will increase exponentially with the increasing number of the balancing equalizers, it is necessary to design one novel computer-aided design (CAD) tool to decrease the simulation runtime for battery packs. Finally, we obtained the optimized balancing circuit by analyzing the balancing circuit efficiency with the novel Matlab based CAD tool. The prototype of BMS PCB we designed consists of microcontroller unit (MCU), Direct current (DC) to DC converter, active balancing circuit, CAN interface and power switches which is used for overcharge and over-discharge protection.
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Title: MODELING OF MAMMALIAN CELL CULTURE
Creator: Jackson, Robert David
Date: 2019
Description: This work uses two different techniques for modeling mammalian cell culture: Differential Equation (DE) based Modeling and Agent-Based...
Show moreThis work uses two different techniques for modeling mammalian cell culture: Differential Equation (DE) based Modeling and Agent-Based Modeling (ABM). The development of both models was done in free open-source software instead of the traditional software that requires the purchase of licenses. The DE model was developed in Python and can predict total, viable, and dead cell densities, glucose, lactate, glutamine, ammonia, and product titer. To expand on the detail level capabilities of previous DE models it has added temperature, pH, and dissolved oxygen dependence. The ABM can predict viable cell density, glucose, lactate, and the distribution of the three experimentally detectable cell cycle phases G1G0, S, and G2M. The ABM was developed for high-performance computing to improve on a previous ABM and allow for running at a hundred-fold smaller run-time with a much higher capacity for the amount of agents that can be simulated.
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Title: Information Security Analysis of Modern Wireless Printers
Creator: Mehta, Keval Samirbhai
Date: 2019
Description: In today’s world, everything is becoming wireless. User-friendliness and security have always been on two opposite sides of the old-fashioned...
Show moreIn today’s world, everything is becoming wireless. User-friendliness and security have always been on two opposite sides of the old-fashioned scale when you give priority to one the second will get hit on somewhat level. This paper concentrates on the same thing in the case of printers. As wireless technology has been made available in the printers and they have got cheaper in recent time, the numbers of households owning the printers have increased dramatically in recent years. New printers use Wi-Fi direct or Wi-Fi AP technology to give wireless access to the user. Wi-Fi P2P also uses the same 802.11 protocol as Wi-Fi AP to help the user to print wirelessly; by directly connecting to or by directly sending commands and documents to the printers. We use a printer to print and scan important documents, which makes it a necessity, that the whole thing is secured. In this paper, I have tried to do analysis on possible security issues with wireless printers with the only wireless connection. The tests include the case where the bad guy will try to prevent the user to use the printer (DoS), from a distance and the case where the bad guy will try to sniff the packets or say important documents that the user is trying to print. I have tried to include different printers like HP, Brother, Canon to do testing, to get the overall idea of security in wireless printers. The first part includes the way of authentication available and the protocols used by the printers and the second part includes the possible ways to get bypass the security and recreate the printing materials that were printed by the user.
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Title: Security analysis in device-to-device wireless networks
Creator: Liu, Kecheng
Date: 2019
Description: Device-to-device (D2D) network has now become a standardized feature in many mobile devices, by which mobile devices can communicate with each...
Show moreDevice-to-device (D2D) network has now become a standardized feature in many mobile devices, by which mobile devices can communicate with each other even when internet access is not available. Because D2D network is expected to be an intrinsic part of the Internet of Things (IoT) and mobile device is the smartest and the most advanced commercial device in everyday usage, the D2D feature and related security protocols can influence the design and implementation of many other IoT devices. While D2D network provides tangible benefits to users, it also raises the security risks of information leaking. Our work performs an in-depth systematical security analysis on 802.11 based D2D network among commercial devices, including personal mobile devices such as phones and tablet, as well as business POS and printers. In this paper, we focus on most popular apps in the Google Play Store, the best selling printers in the market and the most widely adopted commercial POS devices for small businesses. Our analysis reveals some critical vulnerabilities. The key findings are multi-fold. First, the current mobile D2D network framework established on 802.11 protocol has significant flaw of over-privileged issue. Second, we have identified that data transfer over D2D network can be eavesdropped. Furthermore, we exploit the identified framework flaws to construct multiple proof-of-concept attacks and we conclude the paper with security lessons and suggestions of possible solutions against the identified security issues.
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Title: Efficiency of Stratification for Ensemble Reduction based on docking scores
Creator: Zhang, Hexi
Date: 2018
Description: Molecular docking has been widely used in structure-based drug design to virtually screen large chemical libraries to predict the prefer...
Show moreMolecular docking has been widely used in structure-based drug design to virtually screen large chemical libraries to predict the prefer conformations ligands that could bind the target site. Protein flexibility is a major issue that could be solved by ensemble docking which is docking to ‘ensemble’ of protein rigid conformations, such as snapshots obtained by molecular dynamics simulations. Our group has developed a method called ‘Efficiency of Stratification’ to evaluate a number of common snapshot selection strategies using a quality metric from stratified sampling (Xie et al. [19]). Docking was performed to four proteins and with each ligand numbers sets of up to five hundred ligands. In this paper, we generated distance matrices based on docking score to analysis the performance of the efficiency of stratification method. We observed that most docking score based score-based distance matrices have had better performance than structure-based distance matrices and with including any structure-based component overwhelms the docking-score component. Only a few ligands are required to get a good distance matrix.
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Title: Children's Center for Learning and Joy
Creator: Rao, Sijun
Date: 5/13/2011, 2011-05
Description: This project provide children with the learning chance they can not get in regular schools. The environment help them develop multiple...
Show moreThis project provide children with the learning chance they can not get in regular schools. The environment help them develop multiple intelligences.
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Title: Children's Center for Learning and Joy - Final Board Report
Creator: Rao, Sijun
Date: 5/13/2011, 2011-05
Description: This project provide children with the learning chance they can not get in regular schools. The environment help them develop multiple...
Show moreThis project provide children with the learning chance they can not get in regular schools. The environment help them develop multiple intelligences.
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Title: Children's Center for Learning and Joy - Final Presentation
Creator: Rao, Sijun
Date: 5/13/2011, 2011-05
Description: This project provide children with the learning chance they can not get in regular schools. The environment help them develop multiple...
Show moreThis project provide children with the learning chance they can not get in regular schools. The environment help them develop multiple intelligences.
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Title: Museum of Architecture and Design
Creator: Chalermrak, Tearana
Date: 2010-05-01, 2010-05-01
Description: This project is about creating a recreation and education center dedicated to the architectural attributes of Chicago. Redevelopment of the...
Show moreThis project is about creating a recreation and education center dedicated to the architectural attributes of Chicago. Redevelopment of the Chicago Architecture Foundation is explored through the integration of local museums in order to enhance the knowledge of architecture and design for residents and visitors.
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Title: PROCESS DESIGN FOR SMART GRID COORDINATED IGCC POWER PLANT
Creator: Garcia Fracaro, Sofia Belen
Date: 2019
Description: The current scientific consensus is that changes in greenhouse gas emissions will have wide-ranging effects on the natural environment as well...
Show moreThe current scientific consensus is that changes in greenhouse gas emissions will have wide-ranging effects on the natural environment as well as on human society and world economies. Cutting green house gas emissions could be achieved by switching the majority of power production to renewable sources, like wind and solar. However, the intermittent nature of renewable sources will require special attention when integrating into the electric power system. The notion of a smart grid is to introduce new dispatch capable sources as well as provide mechanisms for consumers to be responsive to power availability. One way a smart grid communicates its objectives is through the price of electricity. Economic Model Predictive Control (EMPC) can utilize forecasts of electricity prices to determine operating policies for dispatch capable generators and flexible consumers. While EMPC in the context of variable electricity prices can reduce costs (or increase the revenue), operational flexibility will usually require equipment upgrade, and add to the capital cost of the system. In this thesis an Integrated Gasification Combined Cycle (IGCC) will be used to illustrate potential dispatch capabilities, the benefits of EMPC based operation, and the challenges associated with process design in the context of smart grid coordinated operation. First it is assumed that dispatch enabling equipment is available. While EMPC can provide an increase in the revenue during plant operation, it is not amenable to the equipment design problem. While the method of ELOC can be used for integrated process design and control, we must first show that ELOC performs similar to EMPC and that it can serve as a surrogate. Finally, the ELOC based equipment design problem is formulated, which optimizes with respect to operating as well as capital costs.
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