Digital Commons Network^™

Blast Shock-Wave Characterization In Experimental Shock Tubes, Sudeepto Kahali

Dissertations

Blast-induced traumatic brain injuries have affected U.S. soldiers deployed for extended periods in the gulf and Afghanistan wars. To identify the biomechanical and biochemical mechanisms of injury, critical in the identification of diagnostic and therapeutic tools, compressed gas-driven shock tubes are used by investigators to study shockwave-animal specimen interactions and its biological consequences. However, shock tubes are designed and operated in a variety of geometry with a range of process parameters, and the quality of shock wave characteristics relevant to field conditions and therefore the study of blast-induced traumatic brain injuries suffered by soldiers is affected by those conditions. Lab-to-lab …

Semantic, Integrated Keyword Search Over Structured And Loosely Structured Databases, Xinge Lu

Dissertations

Keyword search has been seen in recent years as an attractive way for querying data with some form of structure. Indeed, it allows simple users to extract information from databases without mastering a complex structured query language and without having knowledge of the schema of the data. It also allows for integrated search of heterogeneous data sources. However, as keyword queries are ambiguous and not expressive enough, keyword search cannot scale satisfactorily on big datasets and the answers are, in general, of low accuracy. Therefore, flat keyword search alone cannot efficiently return high quality results on large data with structure. …

Countering Internet Packet Classifiers To Improve User Online Privacy, Sina Fathi-Kazerooni

Dissertations

Internet traffic classification or packet classification is the act of classifying packets using the extracted statistical data from the transmitted packets on a computer network. Internet traffic classification is an essential tool for Internet service providers to manage network traffic, provide users with the intended quality of service (QoS), and perform surveillance. QoS measures prioritize a network's traffic type over other traffic based on preset criteria; for instance, it gives higher priority or bandwidth to video traffic over website browsing traffic. Internet packet classification methods are also used for automated intrusion detection. They analyze incoming traffic patterns and identify malicious …

Novel Applications Of Mass Spectrometry For Quantitation And Reaction Mechanism Elucidation, Pengyi Zhao

Dissertations

Mass spectrometry (MS) has been growing as one of the most widely used tools in the field of analytical chemistry. Various applications have been developed to harness the high sensitivity and specificity of mass spectrometric analysis. In this dissertation, two major challenges are addressed. By developing mass spectrometric-based methods, absolute quantitation of proteins/peptides have been achieved. Elucidation of various reaction mechanisms are also enabled. These are the focuses of this dissertation.

In Chapters 2 to 4, a novel quantitation method is developed, titled as coulometric mass spectrometry (CMS). The strength of this method is that no reference standard or isotope-labeled …

Convergence Of The Boundary Integral Method For Interfacial Stokes Flow, Keyang Zhang

Dissertations

Boundary integral numerical methods are among the most accurate methods for interfacial Stokes flow, and are widely applied. They have the advantage that only the boundary of the domain must be discretized, which reduces the number of discretization points and allows the treatment of complicated interfaces. Despite their popularity, there is no analysis of the convergence of these methods for interfacial Stokes flow. In practice, the stability of discretizations of the boundary integral formulation can depend sensitively on details of the discretization and on the application of numerical filters. A convergence analysis of the boundary integral method for Stokes flow …

Development Of Novel Membranes For Nanocarbon Enhanced Separation With Application In Biofuels And Solvent Recover, Oindrila Gupta

Dissertations

Pharmaceutical industries historically have had one of the highest amounts of solvent waste generated per unit of drug manufactured. Energy requirements and carbon footprint of current solvent recycling processes tend to be quite high, and the incineration of the solvents for waste disposal produces toxic air emissions. Also, rapidly increasing demand for energy and strict regulation on engine pollutant emissions have necessitated the use of alcohol as carbon-neutral fuels. Thermal distillation is one of the most common methods for the separation of alcohol-water mixtures. However, its application is limited due to energy requirements and high operating costs, and heating to …

Accelerating Transitive Closure Of Large-Scale Sparse Graphs, Sanyamee Milindkumar Patel

Theses

Finding the transitive closure of a graph is a fundamental graph problem where another graph is obtained in which an edge exists between two nodes if and only if there is a path in our graph from one node to the other. The reachability matrix of a graph is its transitive closure. This thesis describes a novel approach that uses anti-sections to obtain the transitive closure of a graph. It also examines its advantages when implemented in parallel on a CPU using the Hornet graph data structure.

Graph representations of real-world systems are typically sparse in nature due to lesser …

Addressing Ad-Blocking Challenges In Online Publishing: A Data Science Approach, Shuai Zhao

Dissertations

The revenue of online display advertising is expected to reach 389 billion U.S. dollars globally in 2021. However, the fast increase in ad-blocker usage impacts publishers' ad revenue and the ad-supported free web. Faced with this problem, many online publishers choose either to cooperate with ad-blocker software companies to show acceptable ads or to build a wall that requires users to whitelist (i.e., turn off ad-blockers) for content access. This dissertation aims to deepen the understanding of existing counter-ad-blocking strategies and further explore how to address ad-blocking challenges through a data science approach.

The dissertation starts with investigating and identifying …

Treated Hfo2 Based Rram Devices With Ru, Tan, Tin As Top Electrode For In-Memory Computing Hardware, Yuvraj Dineshkumar Patel

Theses

The scalability and power efficiency of the conventional CMOS technology is steadily coming to a halt due to increasing problems and challenges in fabrication technology. Many non-volatile memory devices have emerged recently to meet the scaling challenges. Memory devices such as RRAMs or ReRAM (Resistive Random-Access Memory) have proved to be a promising candidate for analog in memory computing applications related to inference and learning in artificial intelligence. A RRAM cell has a MIM (Metal insulator metal) structure that exhibits reversible resistive switching on application of positive or negative voltage. But detailed studies on the power consumption, repeatability and retention …

Biol 432-001: Introduction To Computational Neuroscience, Horacio Rotstein

Biology Syllabi

No abstract provided.

Biol 368-H01: Ecology & Evolution Of Disease, Gareth Russell

Biology Syllabi

No abstract provided.

Che 472-Hm1: Process & Plant Design, Nellone Reid

Chemical and Materials Engineering Syllabi

No abstract provided.

Che 734-101: Chemical Process Dynamics And Control, Patrick Robinson

Chemical and Materials Engineering Syllabi

No abstract provided.

Che 626-101: Mathematical Methods In Chemical Engineering, Ecevit Bilgili

Chemical and Materials Engineering Syllabi

No abstract provided.

Che 489-001: Process Dynamics And Control, Richard Cimino

Chemical and Materials Engineering Syllabi

No abstract provided.

Che 495-001: Chemical Engineering Lab I, Sagnik Basuray

Chemical and Materials Engineering Syllabi

No abstract provided.

Che 349-001: Kinetics & Reactor Design, Xianqin Wong

Chemical and Materials Engineering Syllabi

No abstract provided.

Me 231-003: Kinematics Of Machinery, Anthony Glick

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Ie 335-001: Engineering Cost Analysis, Athanassios Bladikas

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Cs 241-001: Foundations Of Computer Science I, Adrian Ionescu

Computer Science Syllabi

No abstract provided.

Cs 101-005: Introduction To Programming For Engineers, Frank Shih

Computer Science Syllabi

No abstract provided.

Cs 301-101: Introdution To Data Science, Connor Watson

Computer Science Syllabi

No abstract provided.

Cs 101-003: Introduction To Programming For Engineers, Frank Shih

Computer Science Syllabi

No abstract provided.

Cs 675-1j1: Machine Learning, Ioannis Koutis

Computer Science Syllabi

No abstract provided.

Cs 438-001: Interactive Computer Graphics, Przemyslaw Musialski

Computer Science Syllabi

No abstract provided.

Cs 341-101: Foundations In Computer Science Ii, Wallace Rutkowski

Computer Science Syllabi

No abstract provided.

Cs 341-001: Foundations Of Computer Science Ii, Marvin Nakayama

Computer Science Syllabi

No abstract provided.

Cs 659-851: Image Processing, Frank Shih

Computer Science Syllabi

No abstract provided.

Cs 341-003: Foundations In Computer Science Ii, Wallace Rutkowski

Computer Science Syllabi

No abstract provided.

Cs 241-101: Foundations Of Computer Science I, Adrian Ionescu

Computer Science Syllabi

No abstract provided.