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Full-Text Articles in Entire DC Network
The Development Of The Word-Formation Synthesis Terminology. Distinctive Features Of Terminological System (Using The Material Of Russian Verbs Of Sound), Irina Ivliyeva
Faculty Research & Creative Works
The purpose of the study is to present the terminology of word-formation synthesis as an organized system and identify the stages of development of its relevant terms. The scientific novelty of the study resides in the fact that a structured corpus of word-formation synthesis terms with elements of definitional analysis is introduced into scientific usage. As a result, it has been proven that the terminology of word-formation synthesis is a multilevel, hierarchically organized system, and the inventory of units within it changes at different stages of research. The system of modification synthesis terms is examined and tested with and through …
The Beverton-Hold Model On Isolated Time Scales, Martin Bohner, Jaqueline Mesquita, Sabrina Streipert
The Beverton-Hold Model On Isolated Time Scales, Martin Bohner, Jaqueline Mesquita, Sabrina Streipert
Mathematics and Statistics Faculty Research & Creative Works
In this work, we formulate the Beverton-Holt model on isolated time scales and extend existing results known in the discrete and quantum calculus cases. Applying a recently introduced definition of periodicity for arbitrary isolated time scales, we discuss the effects of periodicity onto a population modeled by a dynamic version of the Beverton-Holt equation. The first main theorem provides conditions for the existence of a unique !-periodic solution that is globally asymptotically stable, which addresses the first Cushing-Henson conjecture on isolated time scales. The second main theorem concerns the generalization of the second Cushing-Henson conjecture. It investigates the effects of …
Optimal Equivalence Testing In Exponential Families, Renren Zhao, Robert L. Paige
Optimal Equivalence Testing In Exponential Families, Renren Zhao, Robert L. Paige
Mathematics and Statistics Faculty Research & Creative Works
We develop uniformly most powerful unbiased (UMPU) two sample equivalence test for a difference of canonical parameters in exponential families. This development involves a non-unique reparameterization. We address this issue via a novel characterization of all possible reparameterizations of interest in terms of a matrix group. Furthermore, our procedure involves an intractable conditional distribution which we reproduce to a high degree of accuracy using saddle point approximations. The development of this saddle point-based procedure involves a non-unique reparameterization, but we show that our procedure is invariant under choice of reparameterization. Our real data example considers the mean-to-variance ratio for normally …
On The Hartogs Extension Theorem For Unbounded Domains In CN, Al Boggess, Roman Dwilewicz, Egmont Porten
On The Hartogs Extension Theorem For Unbounded Domains In CN, Al Boggess, Roman Dwilewicz, Egmont Porten
Mathematics and Statistics Faculty Research & Creative Works
Let Ω ⊂ Cn, n > 2, be a domain with smooth connected boundary. If Ω is relatively compact, the Hartogs–Bochner theorem ensures that every CR distribution on ∂Ω has a holomorphic extension to Ω. For unbounded domains this extension property may fail, for example if Ω contains a complex hypersurface. The main result in this paper tells that the extension property holds if and only if the envelope of holomorphy of Cn \ Ω is Cn. It seems that it is the first result in the literature which gives a geometric characterization of unbounded domains in Cn for which the …
Fundamental Structure Of General Stochastic Dynamical Systems: High-Dimension Case, Haoyu Wang, Xiaoliang Gan, Wenqing Hu, Ping Ao
Fundamental Structure Of General Stochastic Dynamical Systems: High-Dimension Case, Haoyu Wang, Xiaoliang Gan, Wenqing Hu, Ping Ao
Mathematics and Statistics Faculty Research & Creative Works
No one has proved that mathematically general stochastic dynamical systems have a special structure. Thus, we introduce a structure of a general stochastic dynamical system. According to scientific understanding, we assert that its deterministic part can be decomposed into three significant parts: the gradient of the potential function, friction matrix and Lorenz matrix. Our previous work proved this structure for the low-dimension case. In this paper, we prove this structure for the high-dimension case. Hence, this structure of general stochastic dynamical systems is fundamental.
Asymptotic Properties Of Kneser Solutions To Third-Order Delay Differential Equations, Martin Bohner, John R. Graef, Irena Jadlovská
Asymptotic Properties Of Kneser Solutions To Third-Order Delay Differential Equations, Martin Bohner, John R. Graef, Irena Jadlovská
Mathematics and Statistics Faculty Research & Creative Works
The aim of this paper is to extend and complete the recent work by Graef et al. (J. Appl. Anal. Comput., 2021) analyzing the asymptotic properties of solutions to third-order linear delay differential equations. Most importantly, the authors tackle a particularly challenging problem of obtaining lower estimates for Kneser-type solutions. This allows improvement of existing conditions for the nonexistence of such solutions. As a result, a new criterion for oscillation of all solutions of the equation studied is established.
Modeling Isothermal Reduction Of Iron Ore Pellet Using Finite Element Analysis Method: Experiments & Validation, Amogh Meshram, Joe Govro, Ronald J. O'Malley, Seetharaman Sridhar, Yuri Korobeinikov
Modeling Isothermal Reduction Of Iron Ore Pellet Using Finite Element Analysis Method: Experiments & Validation, Amogh Meshram, Joe Govro, Ronald J. O'Malley, Seetharaman Sridhar, Yuri Korobeinikov
PSMRC Faculty Research
Iron ore pellet reduction experiments were performed with pure hydrogen (H2) and mixtures with carbon monoxide (CO) at different ratios. For direct reduction processes that switch dynamically between reformed natural gas and hydrogen as the reductant, it is important to understand the effects of the transition on the oxide reduction kinetics to optimize the residence time of iron ore pellets in a shaft reactor. Hence, the reduction rates were studied by varying experimental parameters such as the temperature (800, 850 & 900 degrees C), reactant gas flow rate (100, 150 & 200 cm3/min), pellet size and …
Cansafe: An Mtd Based Approach For Providing Resiliency Against Dos Attack Within In-Vehicle Networks, Ayan Roy, Sanjay Kumar Madria
Cansafe: An Mtd Based Approach For Providing Resiliency Against Dos Attack Within In-Vehicle Networks, Ayan Roy, Sanjay Kumar Madria
Computer Science Faculty Research & Creative Works
Trending towards autonomous transportation systems, modern vehicles are equipped with hundreds of sensors and actuators that increase the intelligence of the vehicles with a higher level of autonomy, as well as facilitate increased communication with entities outside the in-vehicle network. However, increase in a contact point with the outside world has exposed the controller area network (CAN) of a vehicle to remote security vulnerabilities. In particular, an attacker can inject fake high priority messages within the CAN through the contact points, while preventing legitimate messages from controlling the CAN (Denial-of-Service (DoS) attack). In this paper, we propose a Moving Target …
Targeted Content-Sharing In A Multi-Group Dtn Application Using Attribute-Based Encryption, Xiaofei Cao, Shudip Datta, Ram Charan Bolla, Sanjay Kumar Madria
Targeted Content-Sharing In A Multi-Group Dtn Application Using Attribute-Based Encryption, Xiaofei Cao, Shudip Datta, Ram Charan Bolla, Sanjay Kumar Madria
Computer Science Faculty Research & Creative Works
In a battlefield, multiple groups operate with different missions, but their missions and groups can dynamically change based on the evolving situation. Due to the unavailability of network infrastructure after deployment, group members form a Delay Tolerant Network (DTN) which is prone to security attacks. Hence, based on the mission attributes, group memberships, nodes' interests, and data tags determination, targeted contents need to be distributed in a secure fashion to different users. Though existing Attributes Based Encryption (ABE) can provide security of information, revoking a member from a group is always an issue in DTN as the Attribute Authority (AA) …
Inspire Newsletter Spring 2022, Missouri University Of Science And Technology. Inspire - University Transportation Center
Inspire Newsletter Spring 2022, Missouri University Of Science And Technology. Inspire - University Transportation Center
INSPIRE Newsletters
No abstract provided.
Inspire Newsletter Fall 2022, Missouri University Of Science And Technology. Inspire - University Transportation Center
Inspire Newsletter Fall 2022, Missouri University Of Science And Technology. Inspire - University Transportation Center
INSPIRE Newsletters
No abstract provided.
Dccam-Mrnet: Mixed Residual Connection Network With Dilated Convolution And Coordinate Attention Mechanism For Tomato Disease Identification, Yujian Liu, Yaowen Hu, Weiwei Cai, Guoxiong Zhou, Jialei Zhan, Liujun Li
Dccam-Mrnet: Mixed Residual Connection Network With Dilated Convolution And Coordinate Attention Mechanism For Tomato Disease Identification, Yujian Liu, Yaowen Hu, Weiwei Cai, Guoxiong Zhou, Jialei Zhan, Liujun Li
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Tomato is an important and fragile crop. During the course of its development, it is frequently contaminated with bacteria or viruses. Tomato leaf diseases may be detected quickly and accurately, resulting in increased productivity and quality. Because of the intricate development environment of tomatoes and their inconspicuous disease spot features and small spot area, present machine vision approaches fail to reliably recognize tomato leaves. As a result, this research proposes a novel paradigm for detecting tomato leaf disease. The INLM (integration nonlocal means) filtering algorithm, for example, decreases the interference of surrounding noise on the features. Then, utilizing ResNeXt50 as …
Impact Of Deicers On Low-Temperature Performance Of Missouri Pavements, Jun Liu, Yizhuang David Wang, Farshad Kerahroudi Saberi, Jenny Liu
Impact Of Deicers On Low-Temperature Performance Of Missouri Pavements, Jun Liu, Yizhuang David Wang, Farshad Kerahroudi Saberi, Jenny Liu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The use of deicer chemicals for highway winter maintenance operations is an essential strategy for ensuring a reasonably high level of service. It's critical to quantify their effectiveness and potentially detrimental effects on transportation infrastructure (i.e., asphalt and concrete pavements). In this study, nine deicer chemicals used in the state of Missouri were collected. The ice-melting test was conducted to quantify the performance characteristics of deicer chemicals. Freeze-thaw (F-T) test of concrete in the presence of deicer was conducted to quantify the negative effects of deicers to concrete. Low-temperature behavior of asphalt mixture affected by deicers was quantified by asphalt …
A Primer On Obesity-Related Cardiomyopathy, Willis K. Samson, Gina L.C. Yosten, Carol Ann Remme
A Primer On Obesity-Related Cardiomyopathy, Willis K. Samson, Gina L.C. Yosten, Carol Ann Remme
Biological Sciences Faculty Research & Creative Works
No abstract provided.
A Comprehensive Review Of The Neuroscience Of Ingestion: The Physiological Control Of Eating: Signals, Neurons, And Networks, Willis K. Samson, Gina L.C. Yosten
A Comprehensive Review Of The Neuroscience Of Ingestion: The Physiological Control Of Eating: Signals, Neurons, And Networks, Willis K. Samson, Gina L.C. Yosten
Biological Sciences Faculty Research & Creative Works
No abstract provided.
Active Learning Augmented Folded Gaussian Model For Anomaly Detection In Smart Transportation, Venkata Praveen Kumar Madhavarapu, Prithwiraj Roy, Shameek Bhattacharjee, Sajal K. Das
Active Learning Augmented Folded Gaussian Model For Anomaly Detection In Smart Transportation, Venkata Praveen Kumar Madhavarapu, Prithwiraj Roy, Shameek Bhattacharjee, Sajal K. Das
Computer Science Faculty Research & Creative Works
Smart transportation networks have become instrumental in smart city applications with the potential to enhance road safety, improve the traffic management system and driving experience. A Traffic Message Channel (TMC) is an IoT device that records the data collected from the vehicles and forwards it to the Roadside Units (RSUs). This data is further processed and shared with the vehicles to inquire the fastest route and incidents that can cause significant delays. The failure of the TMC sensors can have adverse effects on the transportation network. In this paper, we propose a Gaussian distribution-based trust scoring model to identify anomalous …
Distributed Decision Making For V2v Charge Sharing In Intelligent Transportation Systems, Punyasha Chatterjee, Pratham Majumder, Arpita Debnath, Sajal K. Das
Distributed Decision Making For V2v Charge Sharing In Intelligent Transportation Systems, Punyasha Chatterjee, Pratham Majumder, Arpita Debnath, Sajal K. Das
Computer Science Faculty Research & Creative Works
Electric vehicles (EVs) have emerged in the intelligent transportation system (ITS) to meet the increasing environmental concerns. To facilitate on-demand requirement of EV charging, vehicle-to-vehicle (V2V) charge transfer can be employed. However, most of the existing approaches to V2V charge sharing are centralized or semi-centralized, incurring huge message overhead, long waiting time, and infrastructural cost. In this paper, we propose novel distributed heuristic algorithms for V2V charge sharing based on the multi-criteria decision-making policy. The problem is mapped to an alias classical problem (i.e., optimum matching in weighted bipartite graphs), where the goal is to maximize the matching cardinality while …
Quantitative Bridge Inspection Ratings Using Autonomous Robotic Systems, Anil K. Agrawal
Quantitative Bridge Inspection Ratings Using Autonomous Robotic Systems, Anil K. Agrawal
Project IM-2
Impact sounding has been recognized as an effective technique to detect delamination in concrete structures, such as concrete decks. An enormous amount of sounding data can be generated/collected by the autonomous inspection systems equipped with impactors and microphones. However, the main challenge in the practical application of this technology is the development of advanced data analysis approaches for identifying defects from impact sounding data. In this study, the empirical mode decomposition (EMD) analysis and power-spectral density (PSD) analysis are combined to extract useful features of sounding data generated by the impact hammer. It has been found that the EMD method …
Leveraging Spanning Tree To Detect Colluding Attackers In Federated Learning, Priyesh Ranjan, Federico Coro, Ashish Gupta, Sajal K. Das
Leveraging Spanning Tree To Detect Colluding Attackers In Federated Learning, Priyesh Ranjan, Federico Coro, Ashish Gupta, Sajal K. Das
Computer Science Faculty Research & Creative Works
Federated learning distributes model training among multiple clients who, driven by privacy concerns, perform training using their local data and only share model weights for iterative aggregation on the server. In this work, we explore the threat of collusion attacks from multiple malicious clients who pose targeted attacks (e.g., label flipping) in a federated learning configuration. By leveraging client weights and the correlation among them, we develop a graph-based algorithm to detect malicious clients. Finally, we validate the effectiveness of our algorithm in presence of varying number of attackers on a classification task using a well-known Fashion-MNIST dataset.
Mobility Management In Industrial Iot Environments, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi
Mobility Management In Industrial Iot Environments, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi
Computer Science Faculty Research & Creative Works
The Internet Engineering Task Force (IETF) has defined the 6TiSCH architecture to enable the Industrial Inter-net of Things (IIoT). Unfortunately, 6TiSCH does not provide mechanisms to manage node mobility, while many industrial applications involve mobile devices (e.g., mobile robots or wearable devices carried by workers). In this paper, we consider the Synchronized Single-hop Multiple Gateway framework to manage mobility in 6TiSCH networks. For this framework, we address the problem of positioning Border Routers in a deployment area, which is similar to the "Art Gallery"problem, proposing an efficient deployment policy for Border Routers based on geometrical rules. Moreover, we define a …
Fan-Shaped Model For Generating The Anisotropic Catchment Area Of Subway Stations Based On Feeder Taxi Trips, Shiwei Liu, Yajuan Deng, Xianbiao Hu, Jiaxing Zhou, Jianming Chen
Fan-Shaped Model For Generating The Anisotropic Catchment Area Of Subway Stations Based On Feeder Taxi Trips, Shiwei Liu, Yajuan Deng, Xianbiao Hu, Jiaxing Zhou, Jianming Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The catchment areas of subway stations have always been considered as a circular shape in previous research. Although some studies show the catchment area may be affected by road conditions, public transportation, land use, and other factors, few studies have discussed the shape of the catchment area. This study focuses on analyzing the anisotropy of catchment areas and developing a sound methodology to generate them. Based on taxi global positioning system (GPS) data, this paper first proposes a data mining method to identify feeder taxi trips around subway stations. Then, a fan-shaped model is proposed and applied to Xi'an Metro …
Seismic Risk Assessment Of A Steel Building Supported On Helical Pile Groups, Maryam Shahbazi, Amy B. Cerato, Emad M. Hassan, Hussam Mahmoud
Seismic Risk Assessment Of A Steel Building Supported On Helical Pile Groups, Maryam Shahbazi, Amy B. Cerato, Emad M. Hassan, Hussam Mahmoud
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Designing structures to be the least vulnerable within earthquake-prone areas is a serious challenge for structural engineers. One common and useful tool that structural engineers use to predict the vulnerability of a structure during an earthquake is a fragility curve. However, most structural fragility curves do not take into consideration the contribution of pile foundation systems in the structural vulnerability. Therefore, this study aims to modify existing fragility curves of a six-story fixed-base steel frame hospital building with buckling-restrained braces, to incorporate the effect of helical pile group behavior on the fragility of the structure. To that end, a finite …
Fadeloc: Smart Device Localization For Generalized Κ-Μ Faded Iot Environment, Ankur Pandey, Piyush Tiwary, Sudhir Kumar, Sajal K. Das
Fadeloc: Smart Device Localization For Generalized Κ-Μ Faded Iot Environment, Ankur Pandey, Piyush Tiwary, Sudhir Kumar, Sajal K. Das
Computer Science Faculty Research & Creative Works
In this paper, we propose FadeLoc a novel method for localizing smart devices in an Internet of Things (IoT) environment, based on the Received Signal Strength (RSS), and a generic κ-μ fading model where κ and μ denote the fading parameters. The RSS-based localization is challenging because of noise, fading, and non-line-of-sight (NLOS) effects, thus necessitating an appropriate fading model to best fit the varying RSS values. The advantage of a generic fading model is that it can accommodate all existing fading distributions based on the estimate of κ and μ. Hence, the localization can be performed for any fading …
Mdz: An Efficient Error-Bounded Lossy Compressor For Molecular Dynamics, Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello
Mdz: An Efficient Error-Bounded Lossy Compressor For Molecular Dynamics, Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello
Computer Science Faculty Research & Creative Works
Molecular dynamics (MD) has been widely used in today's scientific research across multiple domains including materials science, biochemistry, biophysics, and structural biology. MD simulations can produce extremely large amounts of data in that each simulation could involve a large number of atoms (up to trillions) for a large number of timesteps (up to hundreds of millions). In this paper, we perform an in-depth analysis of a number of MD simulation datasets and then develop an efficient error-bounded lossy compressor that can significantly improve the compression ratios. The contributions are fourfold. (1) We characterize a number of MD datasets and summarize …
Privacy-Preserving Data Falsification Detection In Smart Grids Using Elliptic Curve Cryptography And Homomorphic Encryption, Sanskruti Joshi, Ruixiao Li, Shameek Bhattacharjee, Sajal K. Das, Hayato Yamana
Privacy-Preserving Data Falsification Detection In Smart Grids Using Elliptic Curve Cryptography And Homomorphic Encryption, Sanskruti Joshi, Ruixiao Li, Shameek Bhattacharjee, Sajal K. Das, Hayato Yamana
Computer Science Faculty Research & Creative Works
In an advanced metering infrastructure (AMI), the electric utility collects power consumption data from smart meters to improve energy optimization and provides detailed information on power consumption to electric utility customers. However, AMI is vulnerable to data falsification attacks, which organized adversaries can launch. Such attacks can be detected by analyzing customers' fine-grained power consumption data; however, analyzing customers' private data violates the customers' privacy. Although homomorphic encryption-based schemes have been proposed to tackle the problem, the disadvantage is a long execution time. This paper proposes a new privacy-preserving data falsification detection scheme to shorten the execution time. We adopt …
Toward Feature-Preserving Vector Field Compression, Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
Toward Feature-Preserving Vector Field Compression, Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
Computer Science Faculty Research & Creative Works
The objective of this work is to develop error-bounded lossy compression methods to preserve topological features in 2D and 3D vector fields. Specifically, we explore the preservation of critical points in piecewise linear and bilinear vector fields. We define the preservation of critical points as, without any false positive, false negative, or false type in the decompressed data, (1) keeping each critical point in its original cell and (2) retaining the type of each critical point (e.g., saddle and attracting node). The key to our method is to adapt a vertex-wise error bound for each grid point and to compress …
Message From The Bits 2022 Workshop Co-Chairs, Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, Shameek Bhattacharjee
Message From The Bits 2022 Workshop Co-Chairs, Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, Shameek Bhattacharjee
Computer Science Faculty Research & Creative Works
No abstract provided.
Some Insights On Flow Over Sharp-Crested Weirs Using Computational Fluid Dynamics: Implications For Enhanced Flow Measurement, Joseph M. Sinclair, S. Karan Venayagamoorthy, Timothy K. Gates
Some Insights On Flow Over Sharp-Crested Weirs Using Computational Fluid Dynamics: Implications For Enhanced Flow Measurement, Joseph M. Sinclair, S. Karan Venayagamoorthy, Timothy K. Gates
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study reexamines flow over a sharp-crested weir using computational fluid dynamics (CFD) to identify the optimal operating range under which the weir functions with accuracy as a free-flowing measurement device. A numerical parametric study was conducted for two separate channel and weir geometries under a range of flow rates resulting in different h/P values, where h is the elevation head over the weir crest, and P is the weir height. Analysis of velocity and pressure profiles over the weir revealed three distinct flow regimes: a high acceleration regime, an ideal operating regime, and a weir-inundated regime that may lead …
Assessing The Effects Of Age And Sex On Mtbi Severity, Jennifer Harrell
Assessing The Effects Of Age And Sex On Mtbi Severity, Jennifer Harrell
Honors Academy
“Mild Traumatic Brain Injury (mTBI) accounts for 70-90% of TBIs recorded in the last two decades. Subjection to continued mTBIs could result in severe comorbidities appearing years later. Current research on mTBI shows significant male sex and single age skew in murine animal models. Using the Missouri Blast Model, mice were inflicted with mTBI and evaluated using standard behavior tests and a novel method not previously used for mTBI with an open blast model. With both methods, a larger clinical difference was found between age groups than sex. We were also able to show that the novel tracking method was …
Am Surface Roughness And Its Impact On Drag, Jackson Landry Chandler
Am Surface Roughness And Its Impact On Drag, Jackson Landry Chandler
Honors Academy
“The main goal of this thesis is to quantify additive manufacturing (AM) surface roughness, as a precursor to identifying its impact on unsteady transient flow properties. Experimental data using the Hirox optical microscopes and SEM imaging collected from the nylon and stainless-steel lattice structures contained an inherent level of surface roughness at the finer scale. Surface Roughness have a negative effect on additively manufactured materials and as such should be mitigated whenever possible. Surface roughness increases unwanted features such as the level of drag, skin friction, negative heat transfer/mass transfer properties, and other unwanted unsteady transitional flow characteristics. Though exceptions …