Physical Sciences and Mathematics Commons^™

Seqadver: Automatic Payload Construction And Injection In Sequence-Based Android Adversarial Attack, Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi

Research Collection School Of Computing and Information Systems

Machine learning has achieved a great success in the field of Android malware detection. In order to avoid being caught by these ML-based Android malware detection, malware authors are inclined to initiate adversarial sample attacks by tampering with mobile applications. Although machine learning has high capability, it lacks robustness against adversarial attacks. Currently, many of the adversarial attacking tools not only inject dead code into target applications, which can never be executed, but also require the injection of many benign features into a malicious APK. This can be easily noticeable by program analysis techniques. In this paper, we propose SeqAdver, …

Surjectivity Of The Wahl Map On Cubic Graphs, Angela C. Hanson

Theses and Dissertations--Mathematics

Much of algebraic geometry is the study of curves. One tool we use to study curves is whether they can be embedded in a K3 surface or not. If the Wahl map is surjective on a curve, that curve cannot be embedded in a K3 surface. Therefore, studying if the Wahl map is surjective for a particular curve gives us more insight into the properties of that curve. We simplify this problem by converting graph curves to dual graphs. Then the information for graphs can be used to study the underlying curves. We will discuss conditions for the Wahl map …

Bicategorical Traces And Cotraces, Justin Barhite

Theses and Dissertations--Mathematics

Familiar constructions like the trace of a matrix and the Euler characteristic of a closed smooth manifold are generalized by a notion of trace of an endomorphism of a dualizable object in a bicategory equipped with a piece of additional structure called a shadow functor. Another example of this bicategorical trace, in the form of maps between Hochschild homology of bimodules, appears in a 1987 paper by Joseph Lipman, alongside a more mysterious ”cotrace” map involving Hochschild cohomology. Putting this cotrace on the same category-theoretic footing as the trace has led us to propose a ”bicategorical cotrace” in a closed …

Toric Bundles As Mori Dream Spaces, Courtney George

Theses and Dissertations--Mathematics

A projective, normal variety is called a Mori dream space when its Cox ring is finitely generated. These spaces are desirable to have, as they behave nicely under the Minimal Model Program, but no complete classification of them yet exists. Some early work identified that all toric varieties are examples of Mori dream spaces, as their Cox rings are polynomial rings. Therefore, a natural next step is to investigate projectivized toric vector bundles. These spaces still carry much of the combinatorial data as toric varieties, but have more variable behavior that means that they aren't as straightforward as Mori dream …

A Scattering Result For The Fifth-Order Kp-Ii Equation, Camille Schuetz

Theses and Dissertations--Mathematics

We will prove scattering for the fifth-order Kadomtsev-Petviashvilli II (fifth-order KP-II) equation. The fifth-order KP-II equation is an example of a nonlinear dispersive equation which takes the form $u_t=Lu + NL(u)$ where $L$ is a linear differential operator and $NL$ is a nonlinear operator. One looks for solutions $u(t)$ in a space $C(\R,X)$ where $X$ is a Banach space. For a nonlinear dispersive differential equation, the associated linear problem is $v_t=Lv$. A solution $u(t)$ of the nonlinear equation is said to scatter if as $t \to \infty$, the solution $u(t)$ approaches a solution $v(t)$ to the linear problem in the …

Asymptotic Behaviour Of Hyperbolic Partial Differential Equations, Shi-Zhuo Looi

Theses and Dissertations--Mathematics

We investigate the asymptotic behaviour of solutions to a range of linear and nonlinear hyperbolic equations on asymptotically flat spacetimes. We develop a comprehensive framework for the analysis of pointwise decay of linear and nonlinear wave equations on asymptotically flat manifolds of three space dimensions that are allowed to be time-varying or nonstationary, including quasilinear wave equations. The Minkowski space and time-varying perturbations thereof are included among these spacetimes. A result on scattering for a nonlinear wave equation with finite-energy solutions on nonstationary spacetimes is presented. This work was motivated in part by the investigation of more precise asymptotic behaviour …

Digital Twin For Railway: A Comprehensive Survey, Sara Ghaboura, Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El Saddik

Computer Vision Faculty Publications

Digital transformation has been prioritized in the railway industry to bring automation to railway operations. Digital Twin (DT) technology has recently gained attention in the railway industry to fulfill this goal. Contemporary researchers argue that DT can be advantageous in Railway manufacturing logistics to planning and scheduling. Although underlying technologies of DT, e.g., modelling, computer vision, and the Internet of Things, have been studied for various railway industry applications, the DT has been least explored in the context of railways. Thus, in this paper, we aim to understand the state-of-the-art of DT for railway (DTR), for advanced railway systems. Besides, …

Polytech To Polytek: Traditional Ecological Knowledge, Indigenous Science, And The Future Forward Polytechnic University, Cutcha Risling Baldy, Kaitlin P. Reed, Kayla Begay

Humboldt Journal of Social Relations

It is clear from Cal Poly Humboldt’s Polytechnic Prospectus that Traditional Ecological Knowledge (TEK) and Indigenous communities are key parts of what elevates Humboldt’s development of a polytechnic university for the next century. The prospectus demonstrates Humboldt's proposed framework for a different comprehensive polytechnic "will also be informed by Indigenous communities and ways of knowing, as many Native peoples have lived sustainably in their places since time immemorial” (19). There are many considerations when engaging with TEK, especially around sustainable use. It is also important that engagement with TEK and Indigenous science not only center knowledge sharing, but also how …

Dynamic Function Learning Through Control Of Ensemble Systems, Wei Zhang, Vignesh Narayanan, Jr-Shin Li

Publications

Learning tasks involving function approximation are preva- lent in numerous domains of science and engineering. The underlying idea is to design a learning algorithm that gener- ates a sequence of functions converging to the desired target function with arbitrary accuracy by using the available data samples. In this paper, we present a novel interpretation of iterative function learning through the lens of ensemble dy- namical systems, with an emphasis on establishing the equiv- alence between convergence of function learning algorithms and asymptotic behavior of ensemble systems. In particular, given a set of observation data in a function learning task, we …

Multiphase Deformation, Fluid Flow And Mineralization In Epithermal Systems: Inferences From Structures, Vein Textures And Breccias Of The Kestanelik Epithermal Au-Ag Deposit, Nw Turkey, Ni̇lay Gülyüz, Zoe Kai̇ Shipton, İlkay Kuşcu

Turkish Journal of Earth Sciences

We investigate the multiphase deformation, fluid flow, and mineralization processes in epithermal systems by presenting a detailed study of vein textures and breccias of the Kestanelik epithermal Au-Ag deposit, NW Turkey. The mineralization in the deposit is associated with several quartz veins. Fault-hosted veins and mode I veins share many textural and breccia characteristics owing to (i) overprinting of tectonic breccias formed during coseismic rupturing by subsequent coseismic hydrothermal brecciation and (ii) reworking of earlier vein breccia phases by repeated rupturing and hydraulic fracturing events. The spatial distribution of breccias at fault-hosted veins proposes that power of coseismic hydrothermal brecciation …

Using Machine Learning Classification And Esa Sentinel 2 Multispectral Imager Data To Delineate Marsh Vegetation And Measure Ecotone Movement In Coastal Georgia, Thomas A. Pudil

Electronic Theses and Dissertations

Tidal marshes are unique communities that are subjected to environmental stressors including sea level rise, salinity change, and drought, resulting in constant change. It is important to monitor these changing areas because of the ecosystem services they provide to us, such as protection from storms and carbon sequestration. The proposed work for this thesis project is focused on the study of tidal marshes and the dynamics between the vegetation species within them. The aim of this project is to use geospatial technology and analyses, along with machine learning classification methods, to monitor change in these valuable ecosystems. The Georgia coast …

Middle Savannah River: An A/R/Tographic Ecopedagogical Ethnography Experimenting With Rhizomatic Perspectives, Lisa Augustine-Chizmar

Electronic Theses and Dissertations

This research is an experiment in perspective. Using the four commonplaces (Schwab, 1978), I practiced letting the Savannah River teach me what there is to know about the water, the land, the people, and the other entities that depend on ki through artistic, ethnographic, and ecopedagogical lenses. The ethnographic findings describe the social actors that depend on ki and give a voice to the River. The a/r/tographic findings display the River on a canvas map through two hundred years using paint, clay, photography, video, abstract acrylics, and fabric. Together, these methods contribute to a unique ecopedagogical journey. This word cloud …

Network Intrusion Detection Using Deep Reinforcement Learning, Hamed T. Sanusi

Electronic Theses and Dissertations

This thesis delves into cybersecurity by applying Deep Reinforcement(DRL) Learning in network intrusion detection. One advantage of DRL is the ability to adapt to changing network conditions and evolving attack methods, making it a promising solution for addressing the challenges involved in intrusion detection. The thesis will also discuss the obstacles and benefits of using Classification methods for network intrusion detection and the need for high-quality training data. To train and test our proposed method, the NSL-KDD dataset was used and then adjusted by converting it from a multi-classification to a binary classification, achieved by joining all attacks into one. …

Layered Fiduciaries In The Information Age, Zhaoyi Li

Articles

Technology companies such as Facebook have long been criticized for abusing customers’ personal information and monetizing user data in a manner contrary to customer expectations. Some commentators suggest fiduciary law could be used to restrict how these companies use their customers’ data. Under this framework, a new member of the fiduciary family called the “information fiduciary” was born. The concept of an information fiduciary is that a company providing network services to “collect, analyze, use, sell, and distribute personal information” owes customers and end-users a fiduciary duty to use the collected data to promote their interests, thereby assuming fiduciary liability …

Climate Justice In The Anthropocene And Its Relationship With Science And Technology: The Importance Of Ethics Of Responsibility, Paolo Davide Farah, Alessio Lo Giudice

Articles

Climate change is a global phenomenon. Therefore, globalization is the necessary hermeneutical horizon to develop an analysis of the metamorphosis climate change could cause at a political, social, and economic level. Within this horizon, this Article shows how the relationship between the concept of the Anthropocene epoch and the request for justice allows for framing a climate-justice and intergenerational equity–focused political interpretation of the effects of climate change. In order to avoid reducing such an interpretation to merely an ideological critique of capitalism, the conception of climate justice needs to be grounded in a rational, ethical model. This Article proposes …

Estimation Of The Work Of Adhesion Between Ito And Polymer Substrates: A Surface Thermodynamics Approach, Sali̇h Özbay

Turkish Journal of Chemistry

Indium tin oxide (ITO) is one of the most widely used semiconductor among transparent conducting oxides (TCOs) due to their electrical conductivity and optical transparency properties. Since the development of low temperature deposition methods, coating of ITO on polymer substrates especially for use in flexible electronics has been a popular topic. The existence of adequate adhesion strength between ITO and polymer is critical in producing a successful film. Nowadays, polycarbonate (PC), poly(methyl methacrylate) (PMMA) and polyethyleneterephtalate (PET) are frequently used as substrates for such coatings. However, there may be other polymeric alternatives that have a potential to be used for …

On Chip Microfluidic Separation Of Cyclotides, Reza Didarian, Aliakbar Ebrahimi, Hamed Ghorbanpoor, Hesam Bagheroghli, Fatma Doğan Güzel, Mohsen Farhadpour, Nasrin Lotfibakhshayesh, Hossein Hashempour, Hüseyi̇n Avci

Turkish Journal of Chemistry

Cyclotides as a cyclic peptide produced by different groups of plants have been a very attractive field of research due to their exceptional properties in biological activities and drug design applications. The importance of cyclotides as new biological activities from nature caused to attract researchers to develop new separation systems. Recent growth and development on chip-based technology for separation and bioassay especially for anticancer having sparklingly advantages comparison with common traditional methods. In this study, the microfluidic separation of Vigno 1-5 cyclotides extracted from Viola ignobilis by using polar and nonpolar forces as a liquid-liquid interaction was investigated through modified …

Promoting Antihepatocellular Carcinoma Activity Against Human Hepg2 Cells Via Pyridine Substituted Palladium Complexes: In Vitro Evaluation And Qsar Studies, Öğünç Meral, Fati̇h Mehmet Emen, Emi̇ne Kutlu, Ruken Esra Demi̇rdöğen, Nesli̇han Kaya Kinaytürk, Görkem Kismali, Şevki̇naz Doğan

Turkish Journal of Chemistry

Bis(4-(4-nitrobenzyl)pyridine)dichloropalladium(II), [PdCl$_{2}$L$^{1}$$_{2}$], bis(2-amino-5-bromopyridine)dichloropalladium(II), [PdCl$_{2}$L$^{2}$$_{2}$], bis(2,4-dimethylpyridine)dichloropalladium(II), [PdCl$_{2}$L$^{3}$$_{2}$], bis(3,4-dimethylpyridine)dichloropalladium(II), [PdCl$_{2}$L$^{4}$$_{2}$] were prepared. The spectroscopic techniques (FT-IR and $^{1}$H-NMR, $^{13}$C-NMR) were used to characterize the compounds. Theoretical calculations were used to validate the experimental results. The LanL2DZ-based DFT/B3LYP method was used to define the most stable possible molecular structure for the complexes. Potential energy distribution analysis was performed to determine the theoretical vibration bands of the complexes. Molecular electrostatic potential maps, boundary molecular orbitals and Mulliken charge distribution were used to determine the active sites of the molecules. The interaction mechanisms between the complexes and liver cancer protein were investigated via molecular docking. …

New Pyrimidine-N-Ss-D-Glucosides: Synthesis, Biological Evaluation, And Molecular Docking Investigations, Nuran Kahri̇man, Kivanç Peker, Vi̇ldan Serdaroğlu, Ali̇ Aydin, Burçi̇n Türkmenoğlu, Asu Usta, Nuretti̇n Yayli

Turkish Journal of Chemistry

In this study, syntheses of new pyrimidine-coupled N-ß-glucosides and tetra-O-acetyl derivatives were carried out. All glycoconjugates were investigated in comparison with known chemotherapeutic agents in terms of their antimicrobial and anticancer functions and DNA/protein binding affinities. Spectral data showed that all glycoside derivatives were obtained by diastereoselectivity as ß-anomers. Both tested groups exhibited strong antiproliferative activity (2.29?66.84 ?g/mL), but some of them had sufficiently ideal % cytotoxicity values (10.01%?16.78%). And also all synthetic compounds exhibited remarkable antibacterial activity against human pathogenic bacteria. Binding of these compounds to CT-DNA resulted in significant changes in spectral properties, consistent with groove binding. Molecular …

Ultraviolet-Activated Clamshell Hydroxyapatite-Substituted Palladium In The Photoreduction Of Methyl Orange Water Pollutant, Anis Liyana Azhar, Azman Ma'amor, Nurhidayatullaili Muhd Julkapli, Nor Asrina Sairi, Aina Sofea Noraizat

Turkish Journal of Chemistry

This study focuses on the modification of natural hydroxyapatite (HAp) derived from clamshell by impregnation with palladium (Pd) at different pH in wet precipitation method to produce photoactive green materials for the degradation of synthetic dyes. It was found that, at pH 10, Pd has been successfully impregnated into HAp lattice with Ca/P ratio of 1.77 and particle distribution size range of 40?470 nm. The impregnation has resulted in the band gap of Pd/HAp at 3.19 eV, as calculated using Tauc?s plot from the UV-Vis spectroscopy data of the Pd/HAp. Next, the photocatalytic activities of Pd/HAp were carried out with …

Synthesis Of Copper Nano/Microparticles Via Thermal Decomposition And Their Conversion To Copper Oxide Film, Çağdaş Allahverdi̇

Turkish Journal of Chemistry

Copper nano/microparticles were synthesized in octadecene at 290 °C by thermal decomposition method. Copper acetate monohydrate, stearic acid, and 1-octadecanol were used as copper precursor, capping and mild reducing agents, respectively, at the synthesis. Borosilicate glass substrates submerged into the reaction solution during the synthesis were coated by copper nano/ microparticles. Thermal decomposition and coating techniques were combined in this study. Copper nano/microparticles were thoroughly characterised via X-ray powder diffraction, X-ray photoelectron, Raman, and attenuated total reflectance-Fourier transform infrared spectroscopies, and scanning and transmission electron microscopies. The average minimum Feret?s diameter of these synthesized copper particles was measured as ~87 …

Applying Machine Learning To Categorize Distinct Categories Of Network Traffic, Isaac M. Dunham

Senior Honors Theses and Projects

The recent rapid growth of the field of data science has made available to all fields opportunities to leverage machine learning. Computer network traffic classification has traditionally been performed using static, pre-written rules that are easily made ineffective if changes, legitimate or not, are made to the applications or protocols underlying a particular category of network traffic. This paper explores the problem of network traffic classification and analyzes the viability of having the process performed using a multitude of classical machine learning techniques against significant statistical similarities between classes of network traffic as opposed to traditional static traffic identifiers.

To …

Transforming Agriculture With Intelligent Data Management And Insights," 2023 Ieee International Conference On Big Data, Y. Pan, J. Sun, H. Yu, G. Bai, Y. Ge, J. Luck, Tala Awada

School of Natural Resources: Faculty Publications

No abstract provided.

On The Economics Of The Transition To A Circular Economy, A. Chennak, K. Giannakas, Tala Awada

School of Natural Resources: Faculty Publications

No abstract provided.

Q-Polymatroids And Their Application To Rank-Metric Codes., Benjamin Jany

Theses and Dissertations--Mathematics

Matroid theory was first introduced to generalize the notion of linear independence. Since its introduction, the theory has found many applications in various areas of mathematics including coding theory. In recent years, q-matroids, the q-analogue of matroids, were reintroduced and found to be closely related to the theory of linear vector rank metric codes. This relation was then generalized to q-polymatroids and linear matrix rank metric codes. This dissertation aims at developing the theory of q-(poly)matroid and its relation to the theory of rank metric codes. In a first part, we recall and establish preliminary results for both q-polymatroids and …

Novel Architectures And Optimization Algorithms For Training Neural Networks And Applications, Vasily I. Zadorozhnyy

Theses and Dissertations--Mathematics

The two main areas of Deep Learning are Unsupervised and Supervised Learning. Unsupervised Learning studies a class of data processing problems in which only descriptions of objects are known, without label information. Generative Adversarial Networks (GANs) have become among the most widely used unsupervised neural net models. GAN combines two neural nets, generative and discriminative, that work simultaneously. We introduce a new family of discriminator loss functions that adopts a weighted sum of real and fake parts, which we call adaptive weighted loss functions. Using the gradient information, we can adaptively choose weights to train a discriminator in the direction …

Geometry Of Pipe Dream Complexes, Benjamin Reese

Theses and Dissertations--Mathematics

In this dissertation we study the geometry of pipe dream complexes with the goal of gaining a deeper understanding of Schubert polynomials. Given a pipe dream complex PD(w) for w a permutation in the symmetric group, we show its boundary is Whitney stratified by the set of all pipe dream complexes PD(v) where v > w in the strong Bruhat order. For permutations w in the symmetric group on n elements, we introduce the pipe dream complex poset P(n). The dual of this graded poset naturally corresponds to the poset of strata associated to the Whitney stratification of the boundary of …

The Merchant And The Mathematician: Commerce And Accounting, Graziano Gentili, Luisa Simonutti, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this article we describe the invention of double-entry bookkeeping (or partita doppiaas it was called in Italian), as a fertile intersection between mathematics and early commerce. We focus our attention on this seemingly simple technique that requires only minimal mathematical expertise, but whose discovery is clearly the result of a mathematical way of thinking, in order to make a conceptual point about the role of mathematics as the humus from which disciplines as different as operations research, computer science, and data science have evolved.

The Shortfalls Of Vulnerability Indexes For Public Health Decision-Making In The Face Of Emergent Crises: The Case Of Covid-19 Vaccine Uptake In Virginia, Lydia Cleveland Sa, Erika Frydenlund

VMASC Publications

Equitable and effective vaccine uptake is a key issue in addressing COVID-19. To achieve this, we must comprehensively characterize the context-specific socio-behavioral and structural determinants of vaccine uptake. However, to quickly focus public health interventions, state agencies and planners often rely on already existing indexes of "vulnerability." Many such "vulnerability indexes" exist and become benchmarks for targeting interventions in wide ranging scenarios, but they vary considerably in the factors and themes that they cover. Some are even uncritical of the use of the word "vulnerable," which should take on different meanings in different contexts. The objective of this study is …

Hydrologic Outcomes For Ecological Meadow Restoration In The Northern Sierra Nevada, Emma Sevier

Cal Poly Humboldt theses and projects

Ecologically functioning meadows provide critical ecosystem services including improving a catchment’s water yield, flood dispersion and attenuation, fostering groundwater-dependent ecosystems, and creating natural fire breaks (Loheide and Booth 2011). Degradation from past and current land use has resulted in incised channels that change the magnitude and timing of watershed and meadow fluxes and cause water table decline. Process-based restoration (PBR) is an approach which leverages fluvial processes to increase restoration efficiency. Though PBR is a promising tool to restore degraded meadow ecosystems, more studies are needed to understand its hydrologic outcomes and whether hydrodynamic modeling can be used as a …