Physical Sciences and Mathematics Commons^™

New Development Of Neutrosophic Probability, Neutrosophic Statistics, Neutrosophic Algebraic Structures, And Neutrosophic Plithogenic Optimizations, Florentin Smarandache, Yanhui Guo

Branch Mathematics and Statistics Faculty and Staff Publications

This collective book presents state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, and neutrosophic symmetry, as well as their applications in the real world.

Linguistic Matrices, W. B. Vasantha Kandasamy, K. Ilanthenral, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

The authors build linguistic matrices only for those linguistic variables which yield a linguistic continuum or an ordered linguistic set. Most of the properties enjoyed by real and complex matrices are satisfied by these linguistic matrices. However, we see when we try to define operations on linguistic matrices that they behave in different ways. The possible operations defined on linguistic matrices are only the maximum and minimum. Further, we have different identities for min and max operations on these matrices for linguistic variable and its associated linguistic words.

Lost And Found In Mathematics, Victor Christianto, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

This book is inspired by a German theoretical physicist, Sabine Hossenfelder’s publication: “Lost in Mathematics”. Her book seems to question highly mathematical and a lot of abstraction in the development of physics and cosmology studies nowadays. There is clear tendency that in recent decades, the physics science has been predominated by such an advanced mathematics, which at times sounding more like acrobatics approach to a reality. Through books by senior mathematical-physicists like Unzicker and Peter Woit, we know that the answer of TOE is not in superstring theories or other variations of such 26 dimensional bosonic string theory, of which …

From Logic To Realism To Brighter Future For Humanity, Victor Christianto, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

This collection of published papers at International Journal of Neutrosophic Science actually began with just a simple request by Dr. Broumi Said, the editor of IJNS, to us, to submit an article for his new journal. Then we submitted a series of new articles discussing various applications of Neutrosophic Logic, a new kind of logic as developed by one of us (FS). We explore a wide range of subject, from Godel’s incompleteness theorem, to possible technocalypse and neutro-futurology, and also additional sections. Hopefully you will find these articles interesting for better understanding of nature.

Collected Papers (On Neutrosophic Theory And Applications), Volume Vi, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

This sixth volume of Collected Papers includes 74 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2015-2021 by the author alone or in collaboration with 121 co-authors from 19 countries.

Introduction To The Special Issue On Advances In Neutrosophic And Plithogenic Sets For Engineering And Sciences: Theory, Models, And Applications, S. A. Edalatpanah, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Recently, research on uncertainty modeling has been progressing rapidly, and many essential and breakthrough studies have already been done. There are various ways to handle these uncertainties, such as fuzzy and intuitionistic fuzzy sets. Although these concepts can take incomplete information in various real-world issues, they cannot address all types of uncertainty, such as indeterminate and inconsistent information. The neutrosophic theory founded by Florentin Smarandache in 1998 constitutes a further generalization of fuzzy set, intuitionistic fuzzy set, picture fuzzy set, Pythagorean fuzzy set, spherical fuzzy set, etc. Since then, this logic has been applied in various science and engineering domains. …

Cyber Security Curriculum In Western Australian Primary And Secondary Schools: Interim Report: Curriculum Mapping, Nicola Johnson, Ahmed Ibrahim, Leslie Sikos, Cheryl Glowrey

Research outputs 2022 to 2026

Cyber-crime poses a significant threat to Australians—think of, for example, how scams take advantage of vulnerable people and systems. There is a need to educate people from an early age to protect them from cyberthreats.

Consistent with the increasing prevalence of cyberthreats to individuals and organisations in Australia, the national Australian curriculum has been updated (version 9.0) to include specific content for cyber security for primary and secondary students up to Year 10. Endorsed by Education Ministers in April 2022, the Western Australian School Curriculum and Standards Authority (SCSA) completed a detailed audit of the endorsed Australian Curriculum version 9.0 …

Can I Touch The Clothes On The Screen? The Touch Effect In Online Shopping, Ha Kyung Lee, Dooyoung Choi

STEMPS Faculty Publications

We examined the interplay effects of device types (touch vs. non-touch) and the tactile sensitivity (fur vs. woven) on the product attitudes mediated by the mental simulation for touch. The participants from MTurk were randomly assigned to one of two tactile conditions. Responses from those who used tablets (n=83, touch device) and laptops (n=96, non-touch device) were included in the analysis. The main effects of device types and tactile-sensitivity on the mental simulation for touch were significant. The interaction effect of device types and tactile sensitivity was also significant. Those participants seeing the less tactile-sensitive product showed greater mental simulation …

Changes In Lake Drainage In The Western Canadian Arctic, Dilshan Kariyawasam, Philip Marsh Dr

Theses and Dissertations (Comprehensive)

Nearly half of all Pan-Arctic lakes are situated in the Canadian Arctic, with many of these lakes being of thermokarst origin. Thermokarst lakes are sensitive to changes in the surrounding environment, making them useful indicators to examine the condition of hydrological systems in response to rapid climate warming, a trend which has been well observed in the Canadian Western Arctic. In this study, we use aerial photography to quantify lake area and count changes for lakes in the Inuvik-Tuktoyaktuk region, between 1950 and 2004. A combination of aerial photography and Landsat imagery were used in identifying drained thermokarst lake basins …

Alpine Shrub Tundra Water Storage And Runoff Dynamics In The Mackenzie Mountains, Sahtú Territory, Nt, Geoffrey Kershaw

Theses and Dissertations (Comprehensive)

Alpine regions receive large volumes of precipitation and are important to local and regional water balances, particularly during baseflow periods of winter cold and summer drought when the larger basin area is frozen and/or water limited. Alpine headwaters in western Canada are expected to warm and receive more precipitation during the coming decades, with implications for groundwater recharge and streamflow generation within these systems and the regional river networks to which they contribute. Throughout the North, thawing peat plateaus and other ice-rich permafrost features are resulting in an increased extent of thermokarst and wetland land cover. This transition places infrastructure …

Influence Of Dissolved Organic Matter On Phosphate Interactions With Hydrous Ferric Oxides, Alaa Hasan Alsherbi

Theses and Dissertations (Comprehensive)

Phosphorus, iron oxides, and dissolved organic matter (DOM) are components present in all aquatic systems. Excess amounts of phosphorus in aquatic systems have the potential for toxic effects, in particular, contributing to eutrophication. Most of the previous studies performed looked at the surface complexation of inorganic phosphate anions (P) to mineral surfaces such as hydrous ferric oxide (HFO). However, the role of DOM on the interactions between HFO and P is unknown. This study investigates the influence of DOM on the surface complexation of P onto HFO surfaces. Moreover, this study looks at the possibility of cation bridging formation (Ca …

The Kepler Problem On Complex And Pseudo-Riemannian Manifolds, Michael R. Astwood

Theses and Dissertations (Comprehensive)

The motion of objects in the sky has captured the attention of scientists and mathematicians since classical times. The problem of determining their motion has been dubbed the Kepler problem, and has since been generalized into an abstract problem of dynamical systems. In particular, the question of whether a classical system produces closed and bounded orbits is of importance even to modern mathematical physics, since these systems can often be analysed by hand. The aforementioned question was originally studied by Bertrand in the context of celestial mechanics, and is therefore referred to as the Bertrand problem. We investigate the qualitative …

Investigation Of Neutrophil-Like Hl-60 Cell Migration In A 3d Collagen Matrix, Pouye Sedighian

CGU Theses & Dissertations

It is known that cell migration in innate and adaptive immune system plays a fundamental role in human health. Among the immune cells, neutrophils are one of the most essential cells in protecting the body against invading pathogens. In the presence of chemoattractants, these cells are the first responders that start a directed migration toward the injured area. As neutrophils approach the site of infection, they transmigrate to the tissue and follow the chemoattractant concentration gradient to locate and eliminate the invading pathogens. Understanding the patterns and mechanism of neutrophil migration in the presence of chemoattractants could possibly play an …

Changing Snowmelt Conditions In The Western Canadian Arctic, Matthew Y. T. Tsui

Theses and Dissertations (Comprehensive)

Multidecadal Changes in Spring Snowmelt in the Western Canadian Arctic

This study investigates the changes in key aspects of snowmelt in the western Canadian Arctic. Specifically, we will look at changes in the onset of snowmelt and the duration of snowmelt between 1999 and 2019, and extended air temperature between 1957 and 2019. In addition, we will look at changes in eight meteorological variables during the melt period. It was found that the onset of snowmelt occurred 14 days earlier, while the melt period ends 20 days earlier than 20 years ago. As a result, the duration of melt period …

Utilization Of The Yamamoto Cyclotrimerization Reaction Towards The Synthesis Of Polycyclic Aromatic Compounds, Josh Ledrew

Theses and Dissertations (Comprehensive)

The overall theme of this research was to synthesize and study the structure-property relationships of novel polycyclic aromatic compounds capable of self-assembling to form liquid crystalline, and microporous structures, as well as molecules capable of molecular recognition. The unifying theme that connects this research is the utilization of the Yamamoto coupling reaction to access the desired polycyclic aromatic hydrocarbon targets. More specifically, the scope of the Yamamoto coupling reaction was explored for the synthesis of electron-deficient triphenylene derivatives that are otherwise difficult to prepare. The molecules prepared via the Yamamoto coupling reaction are expected to be further utilized as intermediates …

Segceco: Subgraph Embedding Of Gene Expression Matrix For Prediction Of Cell-Cell Communication, Sheena Hora

Electronic Theses and Dissertations

Recently, graph-structured data has become increasingly developed in a variety of fields from biological networks to social networks. While link prediction is one of the key problems in graph theory, cell-cell communication regulates individual cell activities and is a crucial part of tissue structure and function. In this regard, recent advances in single-cell RNA sequencing technologies have eased routine analyses of intercellular signaling networks. Previous studies work on various link prediction approaches. These approaches have certain assumptions about when nodes are likely to interact, thus, showing high performance for some specific networks. Subgraph-based methods have solved this problem and outperformed …

Graph Realizability And Factor Properties Based On Degree Sequence, Daniel John

Electronic Theses and Dissertations

A graph is a structure consisting of a set of vertices and edges. Graph construction has been a focus of research for a long time, and generating graphs has proven helpful in complex networks and artificial intelligence.

A significant problem that has been a focus of research is whether a given sequence of integers is graphical. Havel and Hakimi stated necessary and sufficient conditions for a degree sequence to be graphic with different properties. In our work, we have proved the sufficiency of the requirements by generating algorithms and providing constructive proof.

Given a degree sequence, one crucial problem is …

Building Competent Teams Of Experts Based On Project Completion Time And Skill Levels, Yalda Yazdanpanah

Electronic Theses and Dissertations

With many companies quickly expanding their sizes, building the best team of experts from the applicants has evolved into an interesting subject for computer-aided decision-making tasks. In this regard, the Team Formation Problem (TFP) has been well-studied in Artificial Intelligence and operations research literature in recent years. We consider a Team Formation Problem of assigning qualified experts to a given set of positions in a given set of projects where each position is to be filled with an expert with a required skill. In our setting, an expert can be quantitatively characterized by one level per skill, and each expert …

Developing A Robust Defensive System Against First Order Adversarial Attacks Using Siamese Neural Network Methods, Ahamd Khalil

Electronic Theses and Dissertations

Both Convolutional neural networks (CNN) and Deep neural networks (DNN)have recently demonstrated state-of-the-art performance in various real-world ap- plications. However, in recent research the Deep neural networks are shown to be sensitive to adversarial attacks .[32]. Furthermore, it was evidenced that inputs that are almost invariant to the human eye from natural data can be classified incorrectly by deep neural networks. [32]. Although adversarial training improves the model’s robustness significantly, it eventually devolves into a whack-a-mole game in which defenders and attackers try to outdo each other. Because of recent advancements in computer applications, the security aspects of machine learning …

Simple Measurement For Ultrafast Field Reconstruction, Chathurangani Jayalath Arachchige

Electronic Theses and Dissertations

Ultrashort pulses are important for resolving electron motion in semiconductors to measure electronic transport properties. Electron wave packet motion is on the order of attoseconds, requiring temporal resolution on this time scale. However, a major constraint on femtosecond (1 fs = 10−15 s) and attosecond (1 as = 10−18 s) science is how well we can control and compress the excitation and measurement pulses in pump-probe experiments. Such ultrashort pulses require a broad spectrum with careful phase control across its bandwidth to minimize the duration. We discuss a new optical measurement technique that can directly measure the electric field that …

Boundedness Of Some Multi-Parameter Fiber-Wise Multiplier Operators, Frédéric Bernicot, Polona Durcik

Mathematics, Physics, and Computer Science Faculty Articles and Research

We prove L^p estimates for various multi-parameter bi- and trilinear operators with symbols acting on fibers of the two-dimensional functions. In particular, this yields estimates for the general bi-parameter form of the twisted paraproduct studied in [V. Kovač, Boundedness of the twisted paraproduct. Rev. Mat. Iberoam. 28 (2012), no. 4, 1143–1164.].

A Framework Of Lightweight Deep Cross-Connected Convolution Kernel Mapping Support Vector Machines, Qi Wang, Zhaoying Liu, Ting Zhang, Shanshan Tu, Yujian Li, Muhammad Waqas

Research outputs 2022 to 2026

Deep kernel mapping support vector machines have achieved good results in numerous tasks by mapping features from a low-dimensional space to a high-dimensional space and then using support vector machines for classification. However, the depth kernel mapping support vector machine does not take into account the connection of different dimensional spaces and increases the model parameters. To further improve the recognition capability of deep kernel mapping support vector machines while reducing the number of model parameters, this paper proposes a framework of Lightweight Deep Convolutional Cross-Connected Kernel Mapping Support Vector Machines (LC-CKMSVM). The framework consists of a feature extraction module …

Modeling Digital Camera Monitoring Count Data With Intermittent Zeros For Short-Term Prediction, Eben Afrifa-Yamoah, Ute Mueller

Research outputs 2022 to 2026

Digital camera monitoring has revolutionised survey designs in many fields, as an important source of information. The extended sampling coverage offered by this monitoring scheme makes it preferable compared to other traditional methods of survey. However, data obtained from digital camera monitoring are often highly variable, and characterized by sparse periods of zero counts, interspersed with missing observations due to outages. In practice, missing data of relatively shorter duration are mostly observed and are often imputed using interpolation techniques, ignoring long-term trends leading to inherent estimation biases. In this study, we investigated time series forecasting methods that adequately handle intermittency …

Dynamics Of Mutualism In A Two Prey, One Predator System With Variable Carrying Capacity, Randy Huy Lee

UNF Graduate Theses and Dissertations

We considered the livelihood of two prey species in the presence of a predator species. To understand this phenomenon, we developed and analyzed two mathematical models considering indirect and direct mutualism of two prey species and the influence of one predator species. Both types of mutualism are represented by an increase in the preys' carrying capacities based on direct and indirect interactions between the prey. Because of mutualism, as the death rate parameter of the predator species goes through some critical value, the model shows transcritical bifurcation. Additionally, in the direct mutualism model, as the death rate parameter decreases to …

Matrix Interpretations And Tools For Investigating Even Functionals, Benjamin Stringer

Theses and Dissertations--Computer Science

Even functionals are a set of polynomials evaluated on the terms of hollow symmetric matrices. Their properties lend themselves to applications such as counting subgraph embeddings in generic (weighted or unweighted) host graphs and computing moments of binary quadratic forms, which occur in combinatorial optimization. This research focuses primarily on counting subgraph embeddings, which is traditionally accomplished with brute-force algorithms or algorithms curated for special types of graphs. Even functionals provide a method for counting subgraphs algebraically in time proportional to matrix multiplication and is not restricted to particular graph types. Counting subgraph embeddings can be accomplished by evaluating a …

Smart Decision-Making Via Edge Intelligence For Smart Cities, Nathaniel Hudson

Theses and Dissertations--Computer Science

Smart cities are an ambitious vision for future urban environments. The ultimate aim of smart cities is to use modern technology to optimize city resources and operations while improving overall quality-of-life of its citizens. Realizing this ambitious vision will require embracing advancements in information communication technology, data analysis, and other technologies. Because smart cities naturally produce vast amounts of data, recent artificial intelligence (AI) techniques are of interest due to their ability to transform raw data into insightful knowledge to inform decisions (e.g., using live road traffic data to control traffic lights based on current traffic conditions). However, training and …

Speed Offset Attack Detection In Vehicular Ad-Hoc Networks (Vanets) Using Machine Learning, Bhuiyan Mustafa Tawheed

Electronic Theses and Dissertations

An integral component of the Intelligent Transportation System (ITS) is the emerging technology called Vehicular ad-hoc network (VANET). VANET allows Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication wirelessly to improve road safety, traffic congestion, and information dissemination. Communication of vehicles in a VANET network is vulnerable to various attacks. Commonly used cryptographic techniques alone are insufficient to ensure and protect vehicle message integrity and authentication from insider attacks. In such cases, additional measures are necessary to ensure the correctness of the transmitted data. Each vehicle in the network periodically broadcasts a basic safety message (BSM) that contains …

Evaluation Of Field-Level Screening, Sampling, Storage, And Laboratory Analysis Of Hydrogen Sulfide And Reduced Sulfur Species In Sagd Operations, Kaylee Colene Anagnostopoulos

Electronic Theses and Dissertations

Steam assisted gravity drainage (SAGD) operations extract viscous bitumen from the subsurface. During routine operations, fugitive gas can present as a surface casing vent flow (SCVF) or a gas migration (GM) in soils. Depending on regulatory thresholds, these fugitive gases can be classified as serious or non-serious. The presence of hydrogen sulfide (H2S) automatically classifies a well as serious by regulators. Thus, accurate detection and quantification is necessary to meet and exceed regulatory policies and provide the highest standards of environmental health and safety for the energy sector. This thesis investigates the impacts temperature and steam present …

The Cavity-Embedded Cooper Pair Transistor As A Charge Detector Operating In The Nonlinear Regime, Bhargava Thyagarajan

Dartmouth College Ph.D Dissertations

The cavity-embedded Cooper pair transistor (cCPT) has been shown to be a nearly quantum limited charge detector operating with only a single intracavity photon. Here, we use the inherent Kerr nonlinearity to demonstrate a dispersive charge sensing technique inspired by the Josephson bifurcation amplifier. Operating in the bistable regime close to a bifurcation edge, the cCPT is sensitive to charge shifts of 0.09e in a single-shot readout scheme with a detection time of 3 μs and a detection fidelity of 94%. The readout is implemented with only ∼ 25 intracavity photons in the high oscillation amplitude state, still several orders …

Aspects On The Quantum Dynamics Of A System Coupled To A Bosonic Environment, Qidong Xu

Dartmouth College Ph.D Dissertations

In this work we study various aspects of the quantum dynamics for a system coupled to a Bosonic environment, which is described by a collection of quantum harmonic oscillators or a quantum field. We first consider two quantum mechanical oscillator system-bath models obtained by dimensionally truncating linearized gravity coupled to a massive scalar field and scalar QED, and we show that they separately map onto the phase damped oscillator model and the oscillator system subject to two-photon damping. The phase damped oscillator model also corresponds to the optomechanical system with an acoustic field environment, and we study the acoustic environment …