Physical Sciences and Mathematics Commons^™

Application Of Machine Learning And Cyber Security In Smart Grid, Soham Dutta Dr.

Technical Collection

Unplanned islanding of microgrids is a major hindrance in providing continuous power supply to the critical loads. The detection of these islanding instants needs to be very fast so that the distributed generators (DG) are able to take control actions in minimum time. Due to high quality data at a rapid rate, micro phasor measurement unit (μ-PMU) are becoming widely popular in distribution system and micro grids. These μ-PMUs can be leveraged for island detection. However, the working of μ-PMU is hugely dependent on communication network for data transmission which is prone to cyber-attacks. In view of the above facts, …

Quality Evaluation Of Agricultural And Food Products By Using Image Processing And Soft Computing Paradigm, Narendra Vg

Technical Collection

My research interests revolve around the problem of quality evaluation of Agricultural and Food Products by using Image Processing and Soft Computing Paradigm. Much of my recent work focuses on develop a framework for quality evaluation of Edible Nuts using Computer Vision and Soft Computing Techniques. Also, my interest in developing a framework for defects recognition and classification of Fruits and Vegetables using deep learning methods. My research has also explored many problems related to Blockchain Technology while considering the supply chain management of Agricultural and Food products in between with formers, retailers, and consumers.

1. http://doi.org/10.1109/DELCON54057.2022.9752836
2. http://doi.org/10.1007/978-3-031-07012-9_56
3. http://doi.org/10.1007/978-981-15-8603-3_30
4. http://doi.org/10.1007/978-981-15-8603-3_29
5. http://doi.org/10.1007/978-981-15-8603-3_29

Computer Vision Based Analysis Of Crowd Behavior For Efficient Video Surveillance In Public Places, Abhilash K. Pai

Technical Collection

Automated crowd behavior analysis and monitoring is a challenging task due to the unpredictable nature of the crowd, making it an open problem. Within this domain, we are focusing on two research problems which deal with low to mid-level analysis of crowd videos. The first problem focuses on how to effectively utilize the readily available compressed motion vector information in an input crowd video to model the motion of the crowd and perform crowd behavior analysis in varying densities of crowds. For this purpose, we consider a mid-level crowd scene analysis task called as motion pattern segmentation. The second research …

Generalized Inverses Of Elements Of Rings And Matrices Over Rings, K. Manjunatha Prasad

Interdisciplinary Collection

It is well known that a square matrix with all its columns linearly independent has a unique inverse G satisfying AG=GA=I. However, if A is not square or if columns of A are not linearly independent, then such an inverse does not exist. Moore and Penrose independently generalized the notion of inverses to singular matrices. This led to the theory of generalized inverses. In the course of time different generalized inverses like group inverse, Drazin inverse, Core inverse etc., were introduced. The present author introduced Core-EP inverse in 2013. The author has also worked on the theory of generalized inverse …

Studying Implications Of Physics Beyond The Standard Model Of Particle Physics, Sumit Kumar Dr.

Basic Science Collection

Our research interest is to study the implications of the Particle Physics scenarios beyond the Standard Model. Currently, we are looking into the predictions of CP violating phases in modified tribimaximal scenarios and flavor violation in Alternative left-right model.

The tribimaximal mixing provides a compelling ground for understanding the observed neutrino mixing as it predicts =45°, ° and ° which can be taken as the origin of leading order explanation to the current neutrino mixing angle experimental results. In this study, we are performing a comprehensive analysis of the modified tribimaximal mixing scenarios for numerically deriving the constraints on Majorana …

Laser Spectroscopic Instrumentation For Biomedical And Environmental Applications, Unnikrishnan V K Dr.

Basic Science Collection

In this third decade of the 21^st century, the environmental challenges we have ahead of us, set out in the UN's 2030 agenda for sustainable development, are many. Some of the major global environmental issues we need to resolve by 2030 are public health issues, soil and land pollution, water pollution etc. In view of this, we have been working on development of spectroscopic systems and methods to carry out fast, qualitative, and quantitative analysis of materials (solid/liquid/gas) located at distances of several tens of meters especially of samples, at not easily accessible locations, remotely. The complementary and layer-by-layer …

Application Of Geospatial Technologies For Urban Planning And Management, Flood Modelling, Urban Heat Island, Water Resources Management And Planning, Hydrological Modelling, Climate Change And Water Quality Modelling Etc., Anoop Kumar Shukla Dr.

Basic Science Collection

Human activities are altering the natural landscape on the earth’s surface. The thermal environment of densely populated cities is also experiencing rapid change. Remote sensing provides the necessary spatial and temporal data to understand cities' complex human–climate interactions. However, the complex temporal and spatial variability of human activities, urban landscapes, and urban climates make understanding the interactions among them challenging. The study of human–climate interactions is also complicated by the mixed pixels of remote sensing data.

Therefore, I am looking to collaborate with those who want to do research in the field of Remote Sensing and GIS application in water …

Development Of Alloy And Composite Based Coating For Corrosion Protection And Water Electrolysis, Akshatha R. Shetty

Basic Science Collection

Nowadays research is going on for the search of material which produces more ecofriendly renewable energy sources. Over the past years, hydrogen is used a clean source of energy. The existing fossil fuels will cause greenhouse emission and environmentally hazardous in nature. In this direction, water splitting technology is used to produce hydrogen as a renewable energy source and is ecofriendly in nature. In this regard, electroplating technology is used produce series of coatings and to split the water molecule into hydrogen and oxygen. The developed coatings were used as electrocatalysts for hydrogen evolution reaction. The electrocatalytic behavior of the …

Growth Of Zinc Oxide Thin Films For Device Applications, Chaitra U Dr.

Basic Science Collection

Deposition and characterization of undoped and doped ZnO thin films by spin coating technique for gas sensing and Schottky diode applications. The work focuses on enhancing conductivity and also exploring the possibility of p-type conduction of ZnO thin film. As the application part, gas sensors and Schottky diodes were fabricated from the optimized ZnO thin films. We also work on the synthesis of metal oxide nanoparticles by green synthesis technique for biosensor applications.

Publications:

1. https://doi.org/10.1016/j.jallcom.2022.165377
2. https://doi.org/10.1016/j.inoche.2021.108784
3. https://doi.org/10.1016/j.spmi.2021.106903
4. https://doi.org/10.1016/j.mssp.2020.105293

Material Processing And Theoretical Quantum Plasma And Solar Plasma, Utpal Deka Dr.

Basic Science Collection

The domain of my research is Plasma Physics and Allied area. The plasma induced surface modification of materials can lead to introduction of modification of physical properties like electrical resistivity, thermal properties, structural modification, etc. Our work is focused on electron beam irradiation and plasma induced modification of perovskite manganites. Perovskites are compounds of structure ABX₃, where A is the rare-earth cation, B is the divalent cation and X is an anion. Perovskite manganites have the general formula of ABMnO₃. Perovskite manganites show interesting properties like colossal magnetoresistance (CMR), metal-insulator transition temperature (T_MI), and …

Integration Of Photonics Technologies With Applied Nanosciences For Sensing And Particle Manipulation, Sajan Daniel George Prof.

Basic Science Collection

In my research, I focus on the usage of light to address and unveil the problems that fall into the category of interfacial and nanobiophotonics. I attempt to bridge the gap between insight-driven research on the fundamental level and applied research by bringing novel ideas that have emerged from the former into the context of practical applications. For that, We mainly harness the photons to probe and understand the Nano/Bio/Photonics systems and try to integrate them for next-generation applications. Our major areas of research are Nanoscale Surface Wettability Engineering for Photonics and Healthcare Applications, Optical Tweezers integrated with microfluidics and …

Classification Of Mudra And Posture Images Of Bharatanatyam, Venkatesh Bhandage Dr.

Technical Collection

Bharatanatyam is an Indian classical dance form which has to be studies under the supervision of experts/gurus. In this modern era there is scarcity of Bharatanatyam teachers and also the youth is less fascinated towards the classical dance forms. To promote and propagate this Indian classical dance form it is required to take leverage of technology. Hence, the automatic classification of Mudras and Postures was attempted as part of the research work. The research work can be used in training the novice learners, to provide online commentary during the concerts and e-learning of Bharatanatyam dance. The research work can help …

Microplastic Pollution And Its Effects On Aquatic And Terrestrial Ecosystems, Anish Kumar Warrier Dr.

Technical Collection

Microplastics (MPs) are tiny pieces of plastics (less than 5 mm in size) that are ubiquitous in the environment. Their existence causes immediate threat to organisms of different sizes living in the water, sediments and soils affecting the food chain. Further, their presence in the marine realm can lead to a delay in the sequestration of carbon dioxide from the atmosphere into the oceans. The Environmental Microplastics Group at the Department of Civil Engineering, MIT, is primarily focused on the detection of microplastics and nanoplastics in the different environmental compartments, i.e., freshwater and marine water, sediments, soils, and biota such …

Conservative Unconditionally Stable Decoupled Numerical Schemes For The Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq System, Wenbin Chen, Daozhi Han, Xiaoming Wang, Yichao Zhang

Mathematics and Statistics Faculty Research & Creative Works

We propose two mass and heat energy conservative, unconditionally stable, decoupled numerical algorithms for solving the Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq system that models thermal convection of two-phase flows in superposed free flow and porous media. The schemes totally decouple the computation of the Cahn–Hilliard equation, the Darcy equations, the heat equation, the Navier–Stokes equations at each time step, and thus significantly reducing the computational cost. We rigorously show that the schemes are conservative and energy-law preserving. Numerical results are presented to demonstrate the accuracy and stability of the algorithms.

Second-Order, Fully Decoupled, Linearized, And Unconditionally Stable Scalar Auxiliary Variable Schemes For Cahn–Hilliard–Darcy System, Yali Gao, Xiaoming He, Yufeng Nie

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we establish the fully decoupled numerical methods by utilizing scalar auxiliary variable approach for solving Cahn–Hilliard–Darcy system. We exploit the operator splitting technique to decouple the coupled system and Galerkin finite element method in space to construct the fully discrete formulation. The developed numerical methods have the features of second order accuracy, totally decoupling, linearization, and unconditional energy stability. The unconditionally stability of the two proposed decoupled numerical schemes are rigorously proved. Abundant numerical results are reported to verify the accuracy and effectiveness of proposed numerical methods.

College Of Natural Sciences Newsletter, September & October 2022, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 3, Issue 6

Page 1 Dean's Message
Page 2 Awards & Recognition
Page 3 Midwest Regional ACS Meeting
Page 4 North Central ASM Meeting
Page 5 Geography Department Travel
Page 6-7 Media Coverage of CNS
Page 7 REMAST Program at SDState receives national spotlight
Page 8 Celebrating the lives of those who touched the College
Page 9 Innovative Learning Spaces
Page 10 Open PRAIRIE Data
Page 11 2022 CNS Scholarship Brunch
Page 12-14 Fall 2022 Outreach Events

Anomaly Detection In Crowdsourcing: Why Midpoints In Interval-Valued Approach, Alejandra De La Pena, Damian L. Gallegos Espinoza, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations -- e.g., when preparing examples for a machine learning algorithm -- we need to label a large number of images or speech recordings. One way to do it is to pay people around the world to perform this labeling; this is known as crowdsourcing. In many cases, crowd-workers generate not only answers, but also their degrees of confidence that the answer is correct. Some crowd-workers cheat: they produce almost random answers without bothering to spend time analyzing the corresponding image. Algorithms have been developed to detect such cheaters. The problem is that many crowd-workers cannot describe …

Aquatic Ecotoxicology: Theoretical Explanation Of Empirical Formulas, Demetrius R. Hernandez, George M. Molina Holguin, Francisco Parra, Vivian Sanchez, Vladik Kreinovich

Departmental Technical Reports (CS)

To analyze the effect of pollution on marine life, it is important to know how exactly the concentration of toxic substances decreases with time. There are several semi-empirical formulas that describe this decrease. In this paper, we provide a theoretical explanation for these empirical formulas.

Word Representation: Theoretical Explanation Of An Empirical Fact, Leonel Escapita, Diana Licon, Madison Anderson, Diego Pedraza, Vladik Kreinovich

Departmental Technical Reports (CS)

There is a reasonably accurate empirical formula that predicts, for two words i and j, the number Xij of times when the word i will appear in the vicinity of the word j. The parameters of this formula are determined by using the weighted least square approach. Empirically, the predictions are the most accurate if we use the weights proportional to a power of Xij. In this paper, we provide a theoretical explanation for this empirical fact.

Resource Allocation For Multi-Tasking Optimization: Explanation Of An Empirical Formula, Alan Gamez, Antonio Aguirre, Christian Cordova, Alberto Miranda, Vladik Kreinovich

Departmental Technical Reports (CS)

For multi-tasking optimization problems, it has been empirically shown that the most effective resource allocation is attained when we assume that the gain of each task logarithmically depends on the computation time allocated to this task. In this paper, we provide a theoretical explanation for this empirical fact.

How To Reach A Joint Decision With The Smallest Need For Compromise, Sofia Holguin, Olga Kosheleva

Departmental Technical Reports (CS)

Usually, people's interests do not match perfectly. So when several people need to make a joint decision, they need to compromise. The more people one has to coordinate the decision with, the fewer chances that each person's preferences will be properly taken into account. Therefore, when a large group of people need to make a decision, it is desirable to make sure that this decision can be reached by dividing all the people into small-size groups so that this decision can reach a compromise between the members of each group. In this paper, we use a recent mathematical result to …

Need For Optimal Distributed Measurement Of Cumulative Quantities Explains The Ubiquity Of Absolute And Relative Error Components, Hector A. Reyes, Aaron D. Brown, Jeffrey Escamilla, Ethan D. Kish, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, we need to measure the value of a cumulative quantity, i.e., a quantity that is obtained by adding measurement results corresponding to different spatial locations. How can we select the measuring instruments so that the resulting cumulative quantity can be determined with known accuracy -- and, to avoid unnecessary expenses, not more accurately than needed? It turns out that the only case where such an optimal arrangement is possible is when the required accuracy means selecting the upper bounds on absolute and relative error components. This results provides a possible explanation for the ubiquity of such …

Dielectric Barrier Discharge (Dbd) Thrusters -- Aerospace Engines Of The Future: Invariance-Based Analysis, Alexis Lupo, Vladik Kreinovich

Departmental Technical Reports (CS)

One of the most prospective aerospace engines is a Dielectric Barrier Discharge (DBD) thruster -- an effective electric engine without moving parts. Originally designed by NASA for flights over other planets, it has been shown to be very promising for Earth-based flights as well. The efficiency of this engine depends on the proper selection of the corresponding electric field. To make this selection, we need to know, in particular, how its thrust depends on the atmospheric pressure. At present, for this dependence, we only know an approximate semi-empirical formula. In this paper, we use natural invariance requirements to come up …

Why Color Optical Computing, Victor L. Timchenko, Yury P. Kondratenko, Vladik Kreinovich

Departmental Technical Reports (CS)

In this paper, we show that requirements that computations be fast and noise-resistant naturally lead to what we call color-based optical computing.

Hunting Habits Of Predatory Birds: Theoretical Explanation Of An Empirical Formula, Adilene Alaniz, Jiovani Hernandez, Andres D. Munoz, Vladik Kreinovich

Departmental Technical Reports (CS)

Predatory birds play an important role in an ecosystem. It is therefore important to study their hunting behavior, in particular, the distribution of their waiting time. A recent empirical study showed that the waiting time is distributed according to the power law. In this paper, we use natural invariance ideas to come up with a theoretical explanation for this empirical dependence.

Nucleobase-Modified Nucleosides And Nucleotides: Applications In Biochemistry, Synthetic Biology, And Drug Discovery, Anthony J. Berdis

Chemistry Faculty Publications

DNA is often referred to as the "molecule of life " since it contains the genetic blueprint for all forms of life on this planet. The core building blocks composing DNA are deoxynucleotides. While the deoxyribose sugar and phosphate group are ubiquitous, it is the composition and spatial arrangement of the four natural nucleobases, adenine (A), cytosine (C), guanine (G), and thymine (T), that provide diversity in the coding information present in DNA. The ability of DNA to function as the genetic blueprint has historically been attributed to the formation of proper hydrogen bonding interactions made between complementary nucleobases. However, …

A Comparative Analysis Of Anti-Vax Discourse On Twitter Before And After Covid-19 Onset, Tareq Nasralah, Ahmed El Noshokaty, Omar El-Gayar, Mohammad A. Al-Ramahi, Abdullah Wahbeh

Computer Information Systems Faculty Publications

This study aimed to identify and assess the prevalence of vaccine-hesitancy-related topics on Twitter in the periods before and after the Coronavirus Disease 2019 (COVID-19) outbreak. Using a search query, 272,780 tweets associated with anti-vaccine topics and posted between 1 January 2011, and 15 January 2021, were collected. The tweets were classified into a list of 11 topics and analyzed for trends during the periods before and after the onset of COVID-19. Since the beginning of COVID-19, the percentage of anti-vaccine tweets has increased for two topics, “government and politics” and “conspiracy theories,” and decreased for “developmental disabilities.” Compared to …

Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang

Computer Science and Engineering Faculty Publications

Computational fluid dynamics (CFD) is widely employed to predict hemodynamic characteristics in arterial models, while not friendly to clinical applications due to the complexity of numerical simulations. Alternatively, this work proposed a framework to estimate hemodynamics in vessels based on angiography images using machine learning (ML) algorithms. First, the iodine contrast perfusion in blood was mimicked by a flow of dye diffusing into water in the experimentally validated CFD modeling. The generated projective images from simulations imitated the counterpart of light passing through the flow field as an analogy of X-ray imaging. Thus, the CFD simulation provides both the ground …

Mgrre_Thinsections_05_A_68, Mgrre

Thin Sections

No abstract provided.

Review Of The Energy And Social Impact Of Bitcoin Mining And Transactions And Its Potential Use As A Productive Use Of Energy (Pue) To Aid Equitable Investment In Solar Micro And Mini Grids Worldwide, Kevin Hallinan, Lu Hao, Rydge Mulford, Lauren Bower, Kaitlin Russell, Austin Mitchell, Alan Schroeder, Rustam Kuzhin, Mohammad Ehsan Naikkhua, Rohulla Arya, Sayed Ehsani, Rishabh Shukla

Mechanical and Aerospace Engineering Working Papers

Despite the climate commitments made by countries in the Paris Climate Agreement adopted in 2015, and reinforced during COP 21, world carbon emissions have increased in both 2021 and 2022. It is increasingly unlikely that the world can achieve the targeted 50% carbon reduction by 2030; the reduction approximately needed for reducing global temperature rise since the beginning of the industrial revolution to less than 1.5 deg. C. At the same time, the carbon intensive loads associated with bitcoin mining have grown, thereby contributing to growing worldwide carbon emissions. In this context, the role of cryptocurrency and particularly bitcoin is …