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Deep Learning Approach For Intrusion Detection System (Ids) In The Internet Of Things (Iot) Network Using Gated Recurrent Neural Networks (Gru), Manoj Kumar Putchala
Deep Learning Approach For Intrusion Detection System (Ids) In The Internet Of Things (Iot) Network Using Gated Recurrent Neural Networks (Gru), Manoj Kumar Putchala
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The Internet of Things (IoT) is a complex paradigm where billions of devices are connected to a network. These connected devices form an intelligent system of systems that share the data without human-to-computer or human-to-human interaction. These systems extract meaningful data that can transform human lives, businesses, and the world in significant ways. However, the reality of IoT is prone to countless cyber-attacks in the extremely hostile environment like the internet. The recent hack of 2014 Jeep Cherokee, iStan pacemaker, and a German steel plant are a few notable security breaches. To secure an IoT system, the traditional high-end security …
An Experimental Investigation Of Residual Stress Development During Selective Laser Melting Of Ti-6al-4v, Nathan Charles Levkulich
An Experimental Investigation Of Residual Stress Development During Selective Laser Melting Of Ti-6al-4v, Nathan Charles Levkulich
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Selective laser melting (SLM) is an additive manufacturing (AM) process that gives rise to large thermal gradients and rapid cooling rates that lead to the development of undesirable residual stress and distortion. In this work, a number of different techniques (i.e., x-ray-diffraction, hole-drilling, layer-removal, and contour) were utilized to establish the effect of process parameters on residual stress development during SLM of Ti-6Al-4V. The measurements indicated that higher laser power, slower scan speed, smaller stripe width, reduced substrate overhang, and reduced build plan area each reduce the level of residual stress. In addition, the correlation between microstructure, crystallographic texture, and …
Context-Dependence Of Physiological Systems: Environment-Physiology Interactions In The Respiratory Control System, Joseph M. Santin
Context-Dependence Of Physiological Systems: Environment-Physiology Interactions In The Respiratory Control System, Joseph M. Santin
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We know that animals are tuned to survive different environmental conditions or else life would not exist. Unfortunately, this is often forgotten or ignored when designing experiments. As Marsh Tenney articulated, "The physiologist keeps the whole always in mind. He accepts the tactical necessity of reductionism to understand parts, but, once done, for him it is only the beginning, never the end” (from Remmers, 2005). In an era when it is all too common to take environmental complexity out of the organism to understand physiology, my work puts some of that complexity back in the study of organisms. I take …
Low Velocity Impact And Rf Response Of 3d Printed Heterogeneous Structures, Sandeep Keerthi
Low Velocity Impact And Rf Response Of 3d Printed Heterogeneous Structures, Sandeep Keerthi
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Three-dimensional (3D) printing, a form of Additive manufacturing (AM), is currently being explored to design materials or structures with required Electro-Mechanical-Physical properties. Microstrip patch antennas with a tunable radio-frequency (RF) response are a great candidate for 3D printing process. Due to the nature of extrusion based layered fabrication; the processed parts are of three-layer construction having inherent heterogeneity that affects structural and functional response. The purpose of this study is to identify the relationship between the anisotropy in dielectric properties of AM fabricated acrylonitrile butadiene styrene (ABS) substrates in the RF domain and resonant frequencies of associated patch antennas and …
Synthesis And Characterizations Of Lithium Aluminum Titanium Phosphate (Li1+Xalxti2-X(Po4)3) Solid Electrolytes For All-Solid-State Li-Ion Batteries, Jianping Yang
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New-generation low-emission transportation systems demand high-performance lithium ion (Li-ion) batteries with high safety insurance at broad operable temperatures. Highly conductive solid electrolyte is one of the key components for such applications. The objective of this thesis is to synthesize and characterize aluminum doped lithium titanium phosphate, i.e. Li1+xAlxTi2-x(PO4)3 (LATP), one of the solid-state electrolytes for potential applications to all solid-state lithium-ion batteries. In this research, sol-gel method and one step solid-state reaction approaches were explored and critical processes were optimized towards maximizing lithium ion conductivities at room temperature. The impacts of the processing conditions on the structures, morphologies, compositions of …
Computational Simulations Of Biomechanical Kinematics In Wsu Total Ankle Replacement Systems, Dinesh Gundapaneni
Computational Simulations Of Biomechanical Kinematics In Wsu Total Ankle Replacement Systems, Dinesh Gundapaneni
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Ankle arthritis constitutes about 10% of all joint arthritis cases, however, the revision rate of ankle replacement devices is three times higher than comparable hip and knee devices. With complicated bone morphology and surrounding ligament structures, the physiological and gait characteristics of the ankle joint presents a challenge to biomechanicians. As a result, there is a lack of fundamental understanding how the ligaments and articular surfaces interact. The objective of this doctoral research is to address the pattern of contact at the joint articulation, the fundamental role of ligaments in joint mobility, and biomechanics of total ankle replacement (TAR) devices. …
Virtuo-Its: An Interactive Tutoring System To Teach Virtual Memory Concepts Of An Operating System, Venkata Krishna Kanth Musunuru
Virtuo-Its: An Interactive Tutoring System To Teach Virtual Memory Concepts Of An Operating System, Venkata Krishna Kanth Musunuru
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Interactive tutoring systems are software applications that help individuals to learn difficult concepts. They can allow students to interact with ideas from essential mathematics to more complicated subjects like software engineering. This thesis concentrates on one such interactive tutoring system (ITS) designed for teaching concepts related to operating system virtual memory. Operating system concepts can be troublesome to learn without having someone or something to explain them. Even when an instructor is able to provide detailed explanations, it is still exceptionally difficult for students without a computer science foundation to comprehend these concepts. Students require a sophisticated set of mental …
Identification Of Novel Ligands And Structural Requirements For Heterodimerization Of The Liver X Receptor Alpha, Shimpi Bedi
Identification Of Novel Ligands And Structural Requirements For Heterodimerization Of The Liver X Receptor Alpha, Shimpi Bedi
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LXRs, LXRa (NR1H3) and LXRß (NR1H2), are ligand-activated transcription factors that are members of the nuclear receptor superfamily. Oxysterols and nonsteroidal synthetic compounds bind directly to LXRs and influence the expression of LXR dependent genes. The use of murine models and LXR-selective agonists have established the important role of LXRs as sterol sensors that govern the absorption, transport, and catabolism of cholesterol. Upon activation, these receptors have been shown to increase reverse cholesterol transport from the macrophage back to the liver to aid in the removal of excess cholesterol. Not surprisingly, LXR dysregulation is a feature of several human diseases, …
Analysis And Design Of High-Frequency Soft-Switching Dc-Dc Converter For Wireless Power Charging Applications, Abhishek V. Danekar
Analysis And Design Of High-Frequency Soft-Switching Dc-Dc Converter For Wireless Power Charging Applications, Abhishek V. Danekar
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Wireless power transfer (WPT) technology is becoming attractive in a wide variety of applications such as electric-vehicle charging, induction heating, charging portable applications, industrial robots, and biomedical implants. Recent studies have shown various techniques to implement wireless power transfer and these techniques differ based on the type of applications. For example, for electric vehicle charging, the power levels are in the range 5 kW to 25 kW and the operating frequency is in the range 70 kHz to 110 kHz. On the other hand, for consumer applications, the power levels vary from a few watts to hundreds of watts and …
Analysis And Sensitivity Study Of Zero-Dimensional Modeling Of Human Blood Circulation Network, Roussel Rahman
Analysis And Sensitivity Study Of Zero-Dimensional Modeling Of Human Blood Circulation Network, Roussel Rahman
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The systemic circulation has a large number of vessels; therefore, 3-D simulation of pulse-wave propagation in the entire cardiovascular system is difficult and computationally expensive. Zero-Dimensional (Zero-D) and One-Dimensional (1-D) models are simplified representations of the cardiovascular network; they can be coupled as supplements to regional 3-D models for closed-loop multi-scale studies or be simulated as self-sufficient representations of the blood-flow network. Unlike Zero-D models, 1-D models can provide linear space-wise information for the vessels. However, Zero-D models can prove to be more useful in particular cases; as flexibility in adjusting parameters facilitate in tailoring the model to specific needs. …
Settings Protection Add-On: A User-Interactive Browser Extension To Prevent The Exploitation Of Preferences, Venkata Naga Siva Seelam
Settings Protection Add-On: A User-Interactive Browser Extension To Prevent The Exploitation Of Preferences, Venkata Naga Siva Seelam
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The abuse of browser preferences is a significant application security issue, despite numerous protections against automated software changing these preferences. Browser hijackers modify user’s desired preferences by injecting malicious software into the browser. Users are not aware of these modifications, and the unwanted changes can annoy the user and circumvent security preferences. Reverting these changes is not easy, and users often have to go through complicated sequences of steps to restore their preferences to the previous values. Tasks to resolve this issue include uninstalling and re-installing the browser, resetting browser preferences, and installing malware removal tools. This thesis describes a …
Data-Driven Network-Centric Threat Assessment, Dae Wook Kim
Data-Driven Network-Centric Threat Assessment, Dae Wook Kim
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As the Internet has grown increasingly popular as a communication and information sharing platform, it has given rise to two major types of Internet security threats related to two primary entities: end-users and network services. First, information leakages from networks can reveal sensitive information about end-users. Second, end-users systems can be compromised through attacks on network services, such as scanning-and-exploit attacks, spamming, drive-by downloads, and fake anti-virus software. Designing threat assessments to detect these threats is, therefore, of great importance, and a number of the detection systems have been proposed. However, these existing threat assessment systems face significant challenges in …
Design And Testing Of Scalable 3d-Printed Cellular Structures Optimized For Energy Absorption, Sagar Dilip Sangle
Design And Testing Of Scalable 3d-Printed Cellular Structures Optimized For Energy Absorption, Sagar Dilip Sangle
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Sandwich panel structures are widely used due to their high compressive and flexural stiffness and strength-to-weight ratios, good vibration damping, and low through-thickness thermal conductivity. These structures consist of solid face sheets and low-density cellular core structures that are often based upon honeycomb topologies. Interest in additive manufacturing (AM), popularly known as 3D printing (3DP), has rapidly grown in past few years. The 3DP method is a layer-by-layer approach for the fabrication of 3D objects. Hence, it is very easy to fabricate complex structures with complex internal features that cannot be manufactured by any other fabrication processes. Due to the …
A Framework For Centralizing Inventory In Pharmaceutical Supply Chains, Kerry Kathleen Ward
A Framework For Centralizing Inventory In Pharmaceutical Supply Chains, Kerry Kathleen Ward
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Effectively choosing the location of inventory in a pharmaceutical supply chain is central to the mission of pharmaceutical distributors. These supply chains are a critical backbone to the healthcare delivery process: the distributors must deliver products to pharmacies, hospitals and retailers at low cost and with a high level of reliability. This thesis provides a method for analyzing demand data to gain insight on the value of centralizing the inventory into either a hub-and-spoke or national network for a pharmaceutical distribution company. Demand data is analyzed using an off-the-shelf analysis tool as well as a new tool developed in SQL …
An Optimization Compiler Framework Based On Polyhedron Model For Gpgpus, Lifeng Liu
An Optimization Compiler Framework Based On Polyhedron Model For Gpgpus, Lifeng Liu
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General purpose GPU (GPGPU) is an effective many-core architecture that can yield high throughput for many scientific applications with thread-level parallelism. However, several challenges still limit further performance improvements and make GPU programming challenging for programmers who lack the knowledge of GPU hardware architecture. In this dissertation, we describe an Optimization Compiler Framework Based on Polyhedron Model for GPGPUs to bridge the speed gap between the GPU cores and the off-chip memory and improve the overall performance of the GPU systems. The optimization compiler framework includes a detailed data reuse analyzer based on the extended polyhedron model for GPU kernels, …
Structure Stability And Optical Response Of Lead Halide Hybrid Perovskite Photovoltaic Materials: A First-Principles Simulation Study, Siddharth Narendrakumar Rathod
Structure Stability And Optical Response Of Lead Halide Hybrid Perovskite Photovoltaic Materials: A First-Principles Simulation Study, Siddharth Narendrakumar Rathod
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A third-generation of solar cell is based on organic-inorganic hybrid perovskite materials. These have reached up to 22.1% conversion efficiency through exponential growth just within the last decade, compared to much longer improvement times for other photovoltaic technologies. Lead halide perovskites are among the most commonly used materials in this context. Despite the relatively large number of available works on some of these materials, in particular CH3NH3PbI3, others are less investigated. Here, we focused on CH3NH3PbCl3, CH3NH3PbBr3 and CH3NH3PbI3 for assessing structure stability and optical response. Using quantum-mechanics-based first principles approaches, we calculated the optimized structures of these three materials …
Analytical-Based Methodologies To Examine In Vitro Nanokinetics Of Silver Nanoparticles, Sesha Lakshmi Arathi Paluri
Analytical-Based Methodologies To Examine In Vitro Nanokinetics Of Silver Nanoparticles, Sesha Lakshmi Arathi Paluri
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Advancements in the nanotechnology have taken a huge leap in 21st century resulting in 1814 consumer products containing nanomaterials. About 47% of these products belong to the health and fitness sector and ~24% utilize silver nanoparticles (AgNPs). Despite the promising biomedical applications of AgNPs (e.g. bone cements, contrasting agents, and drug-carriers), lack of standardized methods for examining their nanokinetics (i.e., Absorption, Distribution, Metabolism, and Elimination (ADMEs)) limit their clinical implementation. The current work addresses this knowledge gap by developing analytical-based approaches for studying in vitro ADMEs of AgNPs. To demonstrate the versatility of these methodologies, two in vitro kidney study …
Dynamic Modeling And Simulation Of A Variable Cycle Turbofan Engine With Controls, Robert W. Buettner
Dynamic Modeling And Simulation Of A Variable Cycle Turbofan Engine With Controls, Robert W. Buettner
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Next generation aircraft (especially combat aircraft) will include more technology and capability than ever before. This increase in technology comes at the price of higher electrical power requirements and increased waste heat that must be removed from components to avoid overheating induced shutdowns. To help combat the resulting power and thermal management problem, a vehicle level power and thermal management design and optimization toolset was developed in MATLAB®/Simulink®. A dynamic model of a three-stream variable cycle engine was desired to add to the capabilities of the power and thermal management toolset. As an intermediate step to this goal, the dynamic …
Plasma Property Estimation From Dual-Wavelength Interferometry, Andrew J. Hamilton
Plasma Property Estimation From Dual-Wavelength Interferometry, Andrew J. Hamilton
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Diagnostics are necessary for measurement of plasma parameters such as electron, ion and atomic densities, electron temperature, plasma expansion velocity and spatial resolution of density gradients. These parameters play a critical role in defining how a plasma will interact with electromagnetic radiation. For example, the plasma black-out phenomenon occurs when electromagnetic waves are at frequencies below the plasma frequency, where plasma frequency is a function of electron density. Wave propagation diagnostics can improve understanding of a plasma when measurement supports parameter estimation. In this report, the dual-wavelength interferometry method provides a single diagnostic capability to measure plasma expansion velocity, atomic …
Persistent Inward Currents Play A Role In Muscle Dysfunction Seen In Myotonia Congenita, Ahmed Alaa Hawash
Persistent Inward Currents Play A Role In Muscle Dysfunction Seen In Myotonia Congenita, Ahmed Alaa Hawash
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Myotonia congenita is a rare skeletal muscle channelopathy caused by a reduced chloride channel (ClC-1) current, which results in debilitating muscle hyperexcitability, prolonged contractions, and transient episodes of weakness. The excitatory events that trigger myotonic action potentials in the absence of stabilizing ClC-1 current are not fully understood. My in vitro intracellular recordings from a mouse homozygous knockout of ClC-1 revealed a slow after-depolarization (AfD) that triggers myotonic action potentials. The AfD is well-explained by a tetrododoxin-sensitive and voltage-dependent Na+ persistent inward current (NaPIC). Notably, this NaPIC undergoes slow inactivation over seconds, thus providing the first mechanistic explanation for the …
Incorporating Passive Compliance For Reduced Motor Loading During Legged Walking, Akhil Sai Pabbu
Incorporating Passive Compliance For Reduced Motor Loading During Legged Walking, Akhil Sai Pabbu
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For purposes of travelling on all-terrains surfaces that are both uneven and discontinuous, legged robots have upper-hand over wheeled and tracked vehicles. The robot used in this thesis is a simulated hexapod with 3 degrees of freedom per leg. The main aim is to reduce the energy consumption of the system during walking by attaching a passive linear spring to each leg which will aid the motors and reduce the torque required while walking. Firstly, the ideal stiffness and location or the coordinates for mounting the spring is found out using gradient based algorithm called `Simultaneous Perturbation and Stochastic Approximation …
Resilience And Toughness Behavior Of 3d-Printed Polymer Lattice Structures: Testing And Modeling, Mohammed Al Rifaie
Resilience And Toughness Behavior Of 3d-Printed Polymer Lattice Structures: Testing And Modeling, Mohammed Al Rifaie
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This research focuses on the energy absorption capability of additively manufactured or 3D printed polymer lattice structures of different configurations. The Body Centered Cubic (BCC) lattice structure is currently being investigated by researchers for energy absorption applications. For this thesis, the BCC structure is modified by adding vertical bars in different arrangements to create three additional configurations. Four designs or sets of the lattice structure are selected for comparison including BCC, BCC with vertical bars added to all nodes (BCCV), BCC with vertical bars added to alternate nodes (BCCA), and BCC with gradient arrangements of vertical bars (BCCG). Both experimental …
A Comparative Study Of Bagging And Boosting Of Supervised And Unsupervised Classifiers For Outliers Detection, Yue Dang
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The problem of outlier detection has received increasing attention recently because it plays a great role in many fields such as credit fraud detection, cyber security, etc. Machine Learning approach is an excellent choice for outlier detection due to its accuracy and efficiency. Outlier detection problem is unique due to the so-called classes imbalance: the inliers are extreme majority and the outliers are minority. Ensemble methods are popular in classification and regression task in practice to improve the performance of machine learning algorithms. Bagging and boosting are two common methods of them. In this thesis, we want to show the …
Efficacy Of Real-Time Functional Magnetic Resonance Imaging Neurofeedback Training (Fmri-Nft) In The Treatment Of Tinnitus, Matthew S. Sherwood
Efficacy Of Real-Time Functional Magnetic Resonance Imaging Neurofeedback Training (Fmri-Nft) In The Treatment Of Tinnitus, Matthew S. Sherwood
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There is a growing interest in the application of real-time (fMRI) with neurofeedback training (NFT) to the treatment of disorders associated with abnormal brain function. Chronic tinnitus is one such disorder that is often characterized by hyperactivity of the primary auditory cortex (A1) and decreased activity of the ventromedial prefrontal cortex (vmPFC). In this work, we investigated the use of fMRI-NFT to teach self-regulation of A1 using directed attention strategies. The overall objective of the proposed study is to determine the efficacy of fMRI-NFT for potential treatment of tinnitus. Healthy participants were separated into two groups: the experimental group received …
Distributed Adaptive Fault-Tolerant Control Of Nonlinear Uncertain Multi-Agent Systems, Mohsen Khalili
Distributed Adaptive Fault-Tolerant Control Of Nonlinear Uncertain Multi-Agent Systems, Mohsen Khalili
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The research on distributed multi-agent systems has received increasing attention due to its broad applications in numerous areas, such as unmanned ground and aerial vehicles, smart grid, sensor networks, etc. Since such distributed multi-agent systems need to operate reliably at all time, despite the possible occurrence of faulty behaviors in some agents, the development of fault-tolerant control schemes is a crucial step in achieving reliable and safe operations. The objective of this research is to develop a distributed adaptive fault-tolerant control (FTC) scheme for nonlinear uncertain multi-agent systems under intercommunication graphs with asymmetric weights. Under suitable assumptions, the closed-loop system's …
Model Preparation And User Interface Aspects For Microsoft Hololens Medical Tutorial Applications, Andrew J. Mcnutt
Model Preparation And User Interface Aspects For Microsoft Hololens Medical Tutorial Applications, Andrew J. Mcnutt
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Augmented Reality (AR) is the combination of computer vision and graphics to allow a device to derive context about the environment and to display relevant information to the user. The Microsoft Hololens is the latest wearable AR device that includes a series of infrared sensors to perform hand tracking and Simultaneous Localization and Mapping, a wave guide optics system to project holograms, and an independent untethered operating system. This thesis will explore the hardware and software capabilities of the device, prepare 3D graphical models, and understand the user interface. Specifically, in our research the target application is a tutorial on …
Diffusion Maps And Transfer Subspace Learning, Olga L. Mendoza-Schrock
Diffusion Maps And Transfer Subspace Learning, Olga L. Mendoza-Schrock
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Transfer Subspace Learning has recently gained popularity for its ability to perform cross-dataset and cross-domain object recognition. The ability to leverage existing data without the need for additional data collections is attractive for Aided Target Recognition applications. For Aided Target Recognition (or object assessment) applications, Transfer Subspace Learning is particularly useful, as it enables the incorporation of sparse and dynamically collected data into existing systems that utilize large databases. In this dissertation, Manifold Learning and Transfer Subspace Learning are combined to create new Aided Target Recognition systems capable of achieving high target recognition rates for cross-dataset conditions and cross-domain applications. …
An Engage Or Retreat Differential Game With Mobile Agents, Swathi Chandrasekar
An Engage Or Retreat Differential Game With Mobile Agents, Swathi Chandrasekar
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The thesis is aimed at developing optimal defensive strategies that dissuade an attacker from engaging a defender while simultaneously persuading the attacker to retreat. A two-player Engage or Retreat differential game is developed in which one player represents a mobile attacker and the other player represents a mobile defender. Both players are modeled as massless particles moving with constant velocity. The choice to terminate the game in engagement or retreat lies with the attacker. The defender indirectly influences the choice of the attacker by manipulating the latter's utility function. In other words, the defender co-operates with the attacker so that …
Engineering Inpatient Discharges: Disposition Prediction And Day-Of-Discharge Planning, Nicholas A. Ballester
Engineering Inpatient Discharges: Disposition Prediction And Day-Of-Discharge Planning, Nicholas A. Ballester
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Inpatient discharge planning is a critical decision point in patient care, with implications for the efficiency of the inpatient unit as well as other units of the acute care hospital. Inefficient discharge planning can cause patient boarding (waiting for beds) in the upstream units. While this is a poignant and well-known problem in healthcare, very little quantitative research exists that proposes approaches to alleviate it. To address this issue, we apply Systems Engineering methods with focus on three key challenges in inpatient discharge planning. First, to aid inpatient care providers in predicting discharge disposition (home vs. non-home) within 24-hours of …
Null Values And Null Vectors Of Matrix Pencils And Their Applications In Linear System Theory, Neel Dalwadi
Null Values And Null Vectors Of Matrix Pencils And Their Applications In Linear System Theory, Neel Dalwadi
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Considerable literature exists in linear algebra to solve the generalized eigenvalue, eigenvector problem (F − [lambda]G)v = 0 where F, G 2 Rs×s, are square matrices. However, a number of applications lend themselves to the case whereF, G 2 Rs×, and s ≠ t. The existing methods cannot be used for such non-square cases. This research explores structural decomposition of a matrix pencil (F − [lambda]G), s 6≠ t to compute finite values of [lambda] for which rank (F − [lambda]G) < min(s, t). Moreover, from the decomposition of the matrix pencil, information about the order of [lambda] at infinity, the Kronecker row and column indices of a matrix pencil can also be extracted. Equally important is the computation of non-zero vectors w 2 R1×s and v 2 Rt×1 corresponding to each finite value of [lambda], such that w(F - [lambda] G) = 0 and (F - [lambda]G)v = 0. Algorithms are developed for the computation of lambda, w, and v using numerically efficient techniques. Proposed algorithms are applied to problems encountered in system theory and illustrated by means of numerical examples.