Physical Sciences and Mathematics Commons^™

Research On Dynamic Scene Slam Based On Improved Object Detection, Lanxi Shi, Wenxu Yan, Hongyu Ni, Feng Zhao

Journal of System Simulation

Abstract: Aiming at the epipolar constraint matching problem of monocular SLAM in dynamic scenes a dynamic feature point selection method based on object detection is proposed, in which the dynamic feature points in the front-end image frame of SLAM system is eliminated during feature extraction to improve the localization accuracy of SLAM. An improved target detection network is proposed to construct a loss function to describe the bounding box by using the overlap area, distance similarity and cosine similarity, which can achieve the accurate localization of target objects and obtain the range of object feature points in the current image …

Study On Forest Fire Visual Analysis Method For Extinguishing Command In Virtual Environment, Benrun Zhang, Weiqun Cao

Journal of System Simulation

Abstract: Aiming at the demand of forest fire fighting command, the information required for the command, such as geographical environment, meteorological conditions, forest resources and forest fire behavior are comprehensively analyzed, and the data visualization visual analysis method in the virtual forest fire environment is designed and realized. Wang Zhengfei-3D mixed cellular automata model is used to simulate the process of forest fire spread and the difference time method is adopted to predict the forest fire spreading behavior. The change of environmental data in different interest domains is captured in real time, and the multi-view panel and overlay layers are …

Hyper-Heuristic Approach With K-Means Clustering For Inter-Cell Scheduling, Yanlin Zhao, Yunna Tian

Journal of System Simulation

Abstract: According to the actual production situation of China's manufacturing industry, a hyperheuristic algorithm based on K-means clustering is proposed for inter-cell scheduling problem of flexible job-shop. K-means clustering is applied to group entities with similar attributes into the corresponding work cluster decision blocks, and the ant colony algorithm is used to select heuristic rules for each decision block. The optimal scheduling solutions are generated by using corresponding heuristic rules for scheduling of entities in each decision block. Computational results show that, the computational granularity is properly increased by the form of decision blocks, and the computational efficiency of the …

Element Grouping Faceted Fully Connected Network Based On Ris, Shunhu Hou, Shengliang Fang, Qingyao Zeng, Mengtao Wang

Journal of System Simulation

Abstract: In view of the over-fitting problem that caused by multiple parameters and high memory usage of the full connection layer of neural network in training, a RIS-based element grouping areal fully connected neural network (RGFCNN) is proposed for the first time based on the structural characteristics of reconfigurable intelligence surface (RIS). Based on the structural characteristics of RIS, the network is optimized on traditional FCNN. A novel transmission surface attention mechanism is designed for the effective feature extraction of data. Compared with the traditional FCNNs, the proposed network does not arrange the data in one-dimensional manner. Instead, a element …

Research On Theoretical Framework Of Simulative Experiment Evalution For Intelligent Unmanned Swarm Cooperation, Jipeng Wang, Xing Zhang, Hao Wu, Yu Gu, Huijie Yang

Journal of System Simulation

Abstract: As a typical representative of intelligent equipment, the technology, equipment and combat applications of intelligent unmanned swarm are being promoted globally. However, the research on experimental theory of unmanned swarm lags behind the technology and equipment in general. The emergence of swarm ability and complexity of confrontation of unmanned swarm, the nonrepeatability and non-generalization of swam experiment take great challenge to the basic theory and methods of unmanned swarm. The four experimental models including intelligent technology, intelligent equipment, intelligent swarm, and intelligent sos(system of systems) experiment from the perspective of system engineering and the whole life cycle of equipment …

A Biocompatible Hybrid Approach For The Selection Of Gas Drainage Methods In Coal Mines Based On The Best-Worst Method And Analytic Network Process, Amir Jafarpour, Mehdi Najafi, Ali Dabagh

Journal of Sustainable Mining

Methane drainage is one of the main steps in underground coal mining projects. The operation of methane extraction from coal mines/seams is important from the safety, economic, and technical points of view. Selecting the appropriate method for methane drainage is very difficult, and if the method is not chosen correctly, it will lead to environmental problems. The relationship between different influencing factors, parameters, and methods (and how they affect) is significant in choosing the method of gas drainage. In the current study, a hybrid algorithm is presented based on an Analytic Network Process (ANP) and a method based on the …

Artificial Sociality, Simone Natale, Iliana Depounti

Human-Machine Communication

This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …

Revolutionizing Ecosystems: Innovative Planting Machines Combating Desertification, Sunghun Park, Jeanne Sumrall

SACAD: John Heinrichs Scholarly and Creative Activity Days

An important environmental issue that has a profound effect on human welfare, socioeconomic stability, and global ecosystems is desertification. A little over 12 million hectares of land perish year due to the damaging impacts of desertification, which is made worse by overgrazing, deforestation, and inadequate water management. This not only results in a significant loss of arable land, capable of producing 20 million tons of grain, but also in substantial economic repercussions, with estimated annual losses reaching USD 42 billion (UNCCD, 2020). The enormity of the problem emphasizes how urgently we need practical, long-term solutions to stop and reverse the …

Volcanic Ash In Lincoln County, Kansas, Logan Erichsen

SACAD: John Heinrichs Scholarly and Creative Activity Days

This report outlines the analysis of Pearlette volcanic ash in Lincoln County Kansas. Both field and lab methods were used to compile this report. Fort Hays State University alumni Dr. Ron Whitmer allowed use of his property on which the ash is found. Auguring was utilized as the main form of field work which allowed mapping of the subsurface ash layer. The ash was analyzed by UMKC using their scanning electron microscope (SEM). At Fort Hays, the SEM reports were compared to thin sections of the ash using plane and cross polarized light in petrographic microscopes. The ash is comprised …

Assessing Unstable Fossils For Long-Term Storage, Carson Cope, Alex Landwehr, Kale Link, Israel Rivera-Molina, Laura E. Wilson

SACAD: John Heinrichs Scholarly and Creative Activity Days

In 2022, Fort Hays State University’s Sternberg Museum of Natural History (FHSM) began a project to address the long-term preservation of a Late Miocene mammal collection. Many of the fossils from the collection were poorly consolidated, uncurated, and improperly stored, leaving them unstable and prone to significant degradation. To organize our stabilization efforts, we developed a new assessment workflow consisting of two evaluation tools. These tools have helped us categorize the risk factors for specimens, the priority in which they should be addressed, and how to store the fossils long-term. With these newly developed workflows, we are in a better …

Investigation Of Temporal Variation In Sediment Deposition Within The Tropical Wouri Estuary Cameroon Using Fourier Transform Infrared Spectroscopy, Olumide Ajulo, Dr. Henry Agbogun, Dr. Hendratta Ali

SACAD: John Heinrichs Scholarly and Creative Activity Days

In this study, Fourier Transform Infrared Spectroscopy (FTIR) was employed to qualitatively analyze organic and mineral components of the sediment core collected from the Wouri Estuary. The FTIR spectra revealed distinct transmittance corresponding to different organic and mineral phases, allowing for the characterization of sediment composition. The FTIR spectra showed changes and variation progressively from the bottom to the top. These sediments are proxies for time this can be inferred to say deposition in the Wouri Estuary has always changed.

Qualitative Analysis Of Selected Hydrocarbon Produced In Kansas Using Ftir: An Oil-Oil Correlation Study, Oluwaseun Omoyemi, Henry Agbogun, James Titah

SACAD: John Heinrichs Scholarly and Creative Activity Days

Hydrocarbons have been produced in Kansas since the 1860s, however, the properties and characteristics of the produced oil are still poorly understood.

An oil-oil correlation analysis has been conducted on twelve hydrocarbon samples from three subbasins and from five producing intervals within the State of Kansas. Fourier Transform Infrared Radiation (FTIR) was used to characterize the organic functional groups present within the samples and Thin Layer Chromatography (TLC) was used to assess the hydrocarbon fractions in the samples. The FTIR spectrum of all the samples exhibit similar peaks implying similar functionally groups were present in all the samples. The TLC …

Structure Of A Class Of Ordinary Differential Equations, Letao Chang

SACAD: John Heinrichs Scholarly and Creative Activity Days

In the realm of mathematics, an ordinary differential equation (ODE) denotes a particular type of differential equation contingent solely upon a single independent variable. Similar to other differential equations, an ODE involves one or more functions as its unknowns and encompasses derivatives of these functions. The designation "ordinary" serves to distinguish these equations from partial differential equations, which may pertain to multiple independent variables.

Glacial Resource Analysis – Castner Glacier, Alaska, Logan Erichsen

SACAD: John Heinrichs Scholarly and Creative Activity Days

Glaciers cover much of the 49th U.S. state of Alaska. While many of these are deep blues, just as many are “rock” glaciers which means the glacier is covered in sediment. This sediment can be transported many miles through the mountain ranges. With the current climate melting these glaciers they are receding. Sediment and rock samples can now be safely collected from different locations where glaciers have released sediment that was locked in the ice for an untold number of years. Much of the USGS data comes from the 1940’s through 1960’s due to the size and remoteness of Alaska. …

High Powered Rocket Modification, Joshua Gage

SACAD: John Heinrichs Scholarly and Creative Activity Days

Rocketry has always been a fun challenge for me. Since not only was I able to learn something new every time I did it, but I was able to do something with my hands as well. One area that has been very challenging for me is how to put a tracker onto a rocket that has no electronics bay. And studying for the L2 Certification tests. And this poster shows my thoughts and process I did to pass my L2 Certification Flight.

A Smart Resume Builder Tool Using Generative Ai, Ivan A. Velo Castaneda, Anas Hourani, Magdalene Moy

SACAD: John Heinrichs Scholarly and Creative Activity Days

Crafting a standout resume is crucial in today’s competitive job market. Not only does it create a strong first impression on employers but it also it opens the doors for endless job opportunities. Despite existing resume assistance for FHSU students on the Career Services page, there's a lack of tools for generating or streamlining the resume writing process. To address this issue, an efficient resume builder utilizing OpenAI’s GPT-3.5 model was developed specifically for FHSU students. Its key features include intuitive template selection, dynamic AI-generated content for tailored resumes, multi-format output supporting PDF and Word formats, and a user-friendly experience …

Killing Cancer: Manipulating Hydrophobic Vanadium Complexes To Improve Anti-Cancer Activity, Levi Ausherman, Debbie C. Crans, Peter A. Lay, Maggi Braasch-Turi

SACAD: John Heinrichs Scholarly and Creative Activity Days

Hydrophobic vanadium complexes have recently shown improved anti-cancer activities compared to cisplatin. The hydrophobicity and anti-proliferative activity of [VO(Hshed)(dtb)] ([Hshed= N-(salicylideneaminato)-N’-(2-hydroxyethyl)-1,2-ethanediamine and dtb= 3,5-di(tert-butyl)catechol)]) have inspired the development of a library of hydrophobic vanadium complexes. Increasing the steric bulk of the catechol ligand has been shown to have a direct impact on hydrophobicity and anti-proliferative activities. Currently at Fort Hays State University, the Braasch-Turi group is synthesizing VO(HSHED)(dtb) to build up material to support the chemical analysis and biological assay performed by our collaborators at Colorado State University and the University of Sydney, Australia, respectively. In the future, we plan …

Climatology Of Tornadoes In Kansas, John P. Wasinger, Todd Moore

SACAD: John Heinrichs Scholarly and Creative Activity Days

Recent studies report changes to the climatology of tornadoes in the United States (US). Changes with the most supporting evidence include an increase in the intra- and inter-annual variability, increased concentration of tornadoes in bigger outbreaks, and a geographic shift of the densest tornado activity away from Tornado Alley in the Great Plains and toward the Great Lakes and Southeast regions of the US. Broad, national-level changes are valuable, but they can mask changes occurring at the state and sub-state levels where mitigation efforts are most effective. Kansas is of interest due to its reputation as a hotbed of tornado …

Kinetic Controlled-Growth Synthesis Of Cadmium Selenide Nanocrystal Quantum Dots, Aiden Gideon, Maverick Flax

SACAD: John Heinrichs Scholarly and Creative Activity Days

A kinetic controlled growth method has been used to synthesize cadmium selenide (CdSe) nanocrystals. Nanocrystal structures are consistent with that of a quantum dot. Ligand passivation on the surface of the micelle is best carried out using trioctylphosphine (TOP). This allows one to tune the particle surface chemistry. Quantum dots intersperse as colloids within the 1-octadecene solvent matrix. The color gradient observed among the samples is indicative of its dependence on particle size which is consistent with the “particle-in-a-box” model theory. Results also indicate that the particle size of these nanocrystals is dependent on reaction time and maybe dependent on …

Computational Modeling Of Retinal Damage Thresholds, Payton Hoffman, Eos Shapland, Alan Enriquez

SACAD: John Heinrichs Scholarly and Creative Activity Days

The Scalable Effects Simulation Environment(SESE), is the computational Biophysics software contracted by Nanohmics we used for our research. The goal was to find the minimum energy necessary to damage the retina from 2 laser sources, a 532 nm He-Ne source, and Supercontinuum Laser(SCL) source at 400-1400nm. We needed a 10 times damage ratio for significance. Our data did not show this trend.

Gender Detection In Facial Images: A Comprehensive Cnn Analysis, Jose N T Ambrosio, Anas Hourani, Magdalene Moy

SACAD: John Heinrichs Scholarly and Creative Activity Days

This research investigates the construction of a robust gender detection system using facial features and Convolutional Neural Networks (CNNs), exploring the impact of different layer configurations on accuracy and computational efficiency. With a validation accuracy of 91%, findings illuminate the nuanced relationship between precision and computational resources, enriching discussions on facial recognition technologies.

Unlocking The Secret To Weight Loss: Discovering The Most Effective Green Tea Products, Seoyeon Kim

SACAD: John Heinrichs Scholarly and Creative Activity Days

To find the most effective green tea product that can replace

weight loss drugs, we compared the amount of catechin in six

different green tea products. The result was green tea latte

powder contained a significantly small amount of catechin

compared to other products, and the dried pearl green tea leaves

had the highest amount of catechin. Also, the unexpected result

was that green tea supplements had less amount of catechin

compared to dried leaves or even tea bags that are commonly

sold in markets.

Float Like A Butterfly, Sting Like A Bee!, Kobe D. Rome

SACAD: John Heinrichs Scholarly and Creative Activity Days

By injecting an electron into the empty pie* molecular orbital (LUMO) of Amino Acids in gas phase, we measure the Vertical Attachment Energies (VAEs) for the formation of short-lived anion states of these species using electron transmission spectroscopy (ETS). Our ETS study, a first of its kind to measure the VAE for the simplest of proteins, Glycine-Glycine (Gly-Gly), is currently in progress. Based on our previous measurements for several Amino Acids including Glycine, we expect a common range of attachment energy (1.50 – 2.00 eV) for Gly-Gly.

Software Based Approach To Realtime Sports Graphics, Honesty Beaton

SACAD: John Heinrichs Scholarly and Creative Activity Days

My research presents a software-based approach to real-time sports graphics, leveraging Unity, C#, and OpenCV. We aimed to enhance viewer engagement by providing dynamic and interactive graphics during sports broadcasts. My method involves real-time analysis of video feeds to cut out players, place them onto a virtual court, and underlay immersive visuals, giving the appearance that virtual visuals physically exist beneath a player. Evaluation of this approach demonstrates the effectiveness of utilizing a software-based approach for real-time sports graphics, akin to traditional hardware-based solutions

Simulating Continuous Gravitational Waves, Ivan Mihael Villalba Moran

SACAD: John Heinrichs Scholarly and Creative Activity Days

Using a table-top Michelson Interferometer to replicate Laser Interferometer Gravitational-Wave Observatory (LIGO) arrangement, we use sound waves to simulate Continuous Gravitational Waves (CWs). Using the NumPy package in Python programming, we recover the frequency of the injected sinusoidal signal using the mathematics of the Fourier Transform. Currently, we are trying to implement the Hidden Markov Model along with the Viterbi Algorithm as a method to detect Wandering Continuous Gravitational Waves.

Modeling An Infection Outbreak With Quarantine: The Sibkr Model, Mikenna Dew, Amanda Langosch, Theadora Baker-Wallerstein

Rose-Hulman Undergraduate Mathematics Journal

Influenza is a respiratory infection that places a substantial burden in the world population each year. In this project, we study and interpret a data set from a flu outbreak in a British boarding school in 1978 with mathematical modeling. First, we propose a generalization of the SIR model based on the quarantine measure in place and establish the long-time behavior of the model. By analyzing the model mathematically, we determine the analytic formulas of the basic reproduction number, the long-time limit of solutions, and the maximum number of infection population. Moreover, we estimate the parameters of the model based …

Comparing Cognitive Theories Of Learning Transfer To Advance Cybersecurity Instruction, Assessment, And Testing, Daniel T. Hickey Ph.D., Ronald J. Kantor

Journal of Cybersecurity Education, Research and Practice

The cybersecurity threat landscape evolves quickly, continually, and consequentially. This means that the transfer of cybersecurity learning is crucial. We compared how different recognized “cognitive” transfer theories might help explain and synergize three aspects of cybersecurity education. These include teaching and training in diverse settings, assessing learning formatively & summatively, and testing & measuring achievement, proficiency, & readiness. We excluded newer sociocultural theories and their implications for inclusion as we explore those theories elsewhere. We first summarized the history of cybersecurity education and proficiency standards considering transfer theories. We then explored each theory and reviewed the most relevant cybersecurity education …

Igniting Passion:​ A Detailed Journey Through Rocketry Course Activities, Krish M. Patel, Hannah Caycedo, Joshua Gage, Josi Maness, Kevin Park, Mufeng Shen

SACAD: John Heinrichs Scholarly and Creative Activity Days

This course is a semester-long adventure in rocketry, led by Dr. Paul Adams. It covers everything about building and flying rockets, starting from the basics to more advanced rocketry. Students learn how to build rockets and use equipment used I payload systems like and altimeter and a GPS. We also learned about the importance of safety involved with building and launching rockets.

Game 'Make 24', Seunghyeok Jang

SACAD: John Heinrichs Scholarly and Creative Activity Days

• Basic numerical skills are a must-have in today’s world. However, children are not picking up the four basic numerical skills adequately.

• To improve their mathematical skills, they need a way to learn the numerical skills easily.

• "Make 24" is a game for young children who are having a difficult time with basic numerical operations. The game helps children improve their numerical skills by playing this game.

Dispersion Of Artificial Tracers In Ventilated Caves, Claudio Pastore, Eric Weber, Frédéric Doumenc, Pierre-Yves Jeannin, Marc Lütscher

International Journal of Speleology

Artificial CO₂ was used as a tracer along ventilated karst conduits to infer airflow and investigate tracer dispersion. In the karst vadose zone, cave ventilation is an efficient mode of transport for heat, gases and aerosols and thus drives the spatial distribution of airborne particles. Modelling this airborne transport requires geometrical and physical parameters of the conduit system, including the cross-sectional areas, the airflow and average air speed, as well as the longitudinal dispersion coefficient which describes the spreading of a solute. Four gauging tests were carried out in one mine (artificial conduit) and two ventilated caves (natural conduits). …