Physical Sciences and Mathematics Commons^™

Student-Developed Laboratory Activities Using Rolling Object On An Inclined Plane To Improve Student Learning, Qing Shao, Joseph Ametepe

Georgia Journal of Science

This work presents an alternative method of teaching undergraduate introductory physics laboratory. Students are presented with an experimental scenario “Rolling object on an inclined plane” and guided to develop their own laboratory activities in a studio-style setting. The overall goal of this alternative approach is to shift part of the learning responsibility to students. Through guided self-developed activities, students establish the connections between different physics concepts. Such a shift makes students active participants in the classroom, allows them to explore ideas independently, and discover through doing the exploring. Furthermore, the pedagogy is aimed at (i) motivating and actively engaging students …

Learning Enriched Features For Fast Image Restoration And Enhancement, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao

Computer Vision Faculty Publications

Given a degraded input image, image restoration aims to recover the missing high-quality image content. Numerous applications demand effective image restoration, e.g., computational photography, surveillance, autonomous vehicles, and remote sensing. Significant advances in image restoration have been made in recent years, dominated by convolutional neural networks (CNNs). The widely-used CNN-based methods typically operate either on full-resolution or on progressively low-resolution representations. In the former case, spatial details are preserved but the contextual information cannot be precisely encoded. In the latter case, generated outputs are semantically reliable but spatially less accurate. This paper presents a new architecture with a holistic goal …

Annual Faculty Research Symposium 2022, Oakwood University

Proceedings

No abstract provided.

Cross-Temporal Snapshot Alignment For Dynamic Multi-Relational Networks, Lvjia Chen, Shangsong Liang

Machine Learning Faculty Publications

A dynamic network is often represented as a sequence of snapshots evolving over time. In certain real-world scenarios, the identities of nodes in snapshots of a dynamic network are unknown and need to be figured out. To deal with such a challenge, recently, the task of cross-temporal snapshot alignment for dynamic networks is proposed, which aims to match equivalent nodes across temporal snapshots of a dynamic network given a small set of identified nodes. However, in many dynamic multi-relational networks like temporal knowledge graphs, the relation type information of edges, which can be useful for the alignment task, is neglected …

Retrospective Comparisons Of Competing Demographic Models Give Clarity From “Messy” Management On A Scottish Grouse Moor, Larkin A. Powell, Nicholas J. Aebischer, Sonja C. Ludwig, David Baines

School of Natural Resources: Faculty Publications

Retrospective comparison of predictive models that describe competing hypotheses regarding system function can shed light on regulatory mechanisms within the framework of adaptive resource management. We applied this approach to a 28-year study of red grouse (Lagopus lagopus scotica) in Scotland, with the aims of reducing uncertainty regarding important drivers of grouse population dynamics, and of evaluating the efficacy of using seasonal versus annual model assessments. We developed three sets of models that predicted pre-breeding and post-breeding grouse density, matching the timing of grouse counts on the ground. We updated conditions and management through time in the spirit …

Baseline Health And Nutritional Parameters Of Wild Sand Tigers Carcharias Taurus Sampled In Delaware Bay, Lisa A. Hoopes, Tonya M. Clauss, Bradley M. Wetherbee, Dewayne A. Fox

Marine & Environmental Sciences Faculty Articles

Species-specific hematological reference values are essential for diagnosis and treatment of disease and maintaining overall health of animals. This information is lacking for many species of elasmobranchs maintained in zoos and aquaria, thus reducing the effectiveness of care for these animals. Descriptive statistics and reference intervals were calculated for hematocrit and complete blood cell counts, biochemistry and protein electrophoresis parameters, trace minerals, vitamins, heavy metals, reproductive hormones, and fatty acids in the blood of 153 wild Sand Tigers Carcharias taurus of both sexes and a range of sizes caught in Delaware Bay (Delaware, USA). Mean hematocrit, total white blood cell …

Raman Spectroscopic And Quantum Chemical Investigation Of The Pyridine-Borane Complex And The Effects Of Dative Bonding On The Normal Modes Of Pyridine, Ethan C. Lambert, Benjamin W. Stratton, Nathan I. Hammer

Faculty and Student Publications

The pyridine-borane (PyBH3) complex was analyzed by Raman vibrational spectroscopy and density functional theory to elucidate its structural and vibrational properties and to compare these with those for neat pyridine (Py). The borane-nitrogen (BN) bond length, the BN dative bond stretching frequency, and the effects of dative-bonded complex formation on Py are presented. Rather than having a single isolated stretching motion, the complex exhibits multiple BN dative bond stretches that are coupled to Py's vibrations. These modes exhibit large shifts that are higher in energy relative to neat Py, similar to previous observations of Py/water mixtures. However, significantly higher charge …

Coil-To-Bridge Transitions Of Self-Assembled Water Chains Observed In A Nanoscopic Meniscus, Byung I. Kim, Ryan D. Boehm, Harrison Agrusa

Physics Faculty Publications and Presentations

Ten downward portions in the large oscillatory force–distance curve reported earlier are analyzed to understand a nanoscale water meniscus confined between a sharp probe and a flat substrate in air. The sigmoidal shape of each portion leads to the assumption that the meniscus is made up of n independent transitions of two states: one for a coil state and the other for a bridge state. The analysis reveals that each downward portion occurs due to a coil-to-bridge transition of n self-assembled water chains whose length ranges between 197 and 383 chain units. The transition provides novel insights into water’s unique …

From Naked Spheroids To Disky Galaxies: How Do Massive Disk Galaxies Shape Their Morphology?, Luca Costantin, Pablo G. Pérez-González, Jairo Méndez-Abreu, Marc Huertas-Company, Belén Alcalde Pampliega, Marc Balcells, Guillermo Barro, Daniel Ceverino, Paola Dimauro, Helena Domínguez Sánchez, Néstor Espino-Briones, Anton M. Koekemoer

Pacific Faculty Work

We investigate the assembly history of massive disk galaxies and describe how they shape their morphology through cosmic time. Using SHARDS and HST data, we modeled the surface brightness distribution of 91 massive galaxies at redshift 0.14 < z ≤ 1 in the wavelength range 0.5-1.6 μm, deriving the uncontaminated spectral energy distributions of their bulges and disks separately. This spectrophotometric decomposition allows us to compare the stellar population properties of each component in individual galaxies. We find that the majority of massive galaxies (∼85%) build inside-out, growing their extended stellar disk around the central spheroid. Some bulges and disks could start forming at similar epochs, but these bulges grow more rapidly than their disks, assembling 80% of their mass in ∼0.7 and ∼3.5 Gyr, respectively. Moreover, we infer that both older bulges and older disks are more massive and compact than younger stellar structures. In particular, we find that bulges display a bimodal distribution of mass-weighted ages; i.e., they form in two waves. In contrast, our analysis of the disk components indicates that they form at z ∼1 for both first- and second-wave bulges. This translates to first-wave bulges taking longer to acquire a stellar disk (5.2 Gyr) compared to second-wave, less compact spheroids (0.7 Gyr). We do not find distinct properties (e.g., mass, star formation timescale, and mass surface density) for the disks in both types of galaxies. We conclude that the bulge mass and compactness mainly regulate the timing of the stellar disk growth, driving the morphological evolution of massive disk galaxies.

An Examination Of Olympic Sport Climbing Competition Format And Scoring System, Quang Nguyen, Hannah Butler, Gregory J. Matthews

Mathematics and Statistics: Faculty Publications and Other Works

Sport climbing, which made its Olympic debut at the 2020 Summer Games, generally consists of three separate disciplines: speed climbing, bouldering, and lead climbing. However, the International Olympic Committee (IOC) only allowed one set of medals each for men and women in sport climbing. As a result, the governing body of sport climbing, rather than choosing only one of the three disciplines to include in the Olympics, decided to create a competition combining all three disciplines. In order to determine a winner, a combined scoring system was created using the product of the ranks across the three disciplines to determine …

2022- The Twenty-Sixth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Twenty-sixth Annual Symposium of Student Scholars, held on April 19, 2022. Includes abstracts from the presentations and posters.

Plant Wise, Sophia Llamas

Honors Projects

Conceptually, Plant Wise is the key to bridging the gap between preconceived ideas about vegan and vegetarianism and successfully integrating plant-based foods into your everyday life. Physically, Plant Wise is a self-educational, interactive booklet chock-full of activities intended for users to complete at their own pace. Inside this 56-page booklet, there are recipes, doodling spaces, weekly check sheets, activities to do with friends and family, challenges, and so much more. Plant Wise utilizes these activities and journaling opportunities throughout as a self-reflective vehicle to give users an experience to reflect on, which aids in the retention of what’s been learned …

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Residential Metals Abatement Program (Rmap) Field Sampling Plan (Fsp) – Indoor Dust – Group 1 (Aware Early Head Start, Lincoln Head Start, Highland View Christian School, Silver Bow Montessori, And Small World Day Care) (Dated March 23, 2022), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Request For Change (Rfc) To The Draft Ground Water Monitoring Well Installation Plan (Rfc-Bpsou-2022-04), Josh Bryson, Trec Inc., A Woodard And Curran Company

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Research On Credibility Assessment Of Cloud Simulation System, Wei Li, Huan Zhang, Ping Ma, Ming Yang

Journal of System Simulation

Abstract: The cloud simulation platform supports the "cloud simulation" mode, which can automatically find simulation resources and dynamically build the cloud simulation system. Because the cloud simulation platform has the characteristics of simulation services establishment on demand and multi-granularity resources sharing, the credibility evaluation of the cloud simulation system faces new challenges in the credibility of the simulation resources, the credibility of the simulation subsystems and the reliability of the simulation environment, etc. From the whole life cycle perspective of the cloud simulation system, the credibility evaluation process model and the credibility evaluation index system of the cloud simulation system …

Design And Development Of A Simulation System For Scheduling In Cloud Manufacturing Based On Microservice Architecture, Yongkui Liu, Ming Zeng, Lin Zhang, Jinwei Guo, Siyang Yuan, Yaoyao Ping

Journal of System Simulation

Abstract: In view of the lack of the low coupling and highly extensible cloud manufacturing scheduling simulation system, that leads to inconvenience of the performance test on scheduling algorithms, a scalable cloud manufacturing scheduling model with the scheduling goal of the minimization of cost and completion time and the maximization of quality of service is proposed. A micro-service architecture based cloud manufacturing scheduling simulation system is designed and developed, which realizes the functions of system management, resource management, task management and simulation management, and has the characteristics of flexible autonomy, stability and scalability. The simulation system facilitates the …

Image Reconstruction Of Electrical Capacitance Tomography Based On Convolutional Neural Network And Finite Element Simulation, Lifeng Zhang, Huiren Wang

Journal of System Simulation

Abstract: To address the issues related to the mixed hybrid telemetry, track and command(TT&C) resource, including multiple attributes, large differences in preferences and scheduling conflicts when resources are limited in joint scheduling, on the basis of the description method in the single system TT&C network scheduling research, the characteristics of the hybrid TT&C task requirements are analyzed and the standardized description of the hybrid TT&C resource scheduling task requirements is provided. With the goal of maximizing the return value of TT&C scheduling, a hybrid resource joint scheduling model is established. A solution strategy based on an improved genetic …

Indoor Positioning Algorithm Based On Xgboost Prediction And Elastic Net Error Compensation, Xiaofei Kang, Xuan Zeng, Wei Qiao

Journal of System Simulation

Abstract: Aiming at the multi-depot half-open vehicle routing problem and consideringthe soft time window constraints and vehicle speed changes, an optimization model with the goal of maximizing average customer satisfaction, shortest distribution distance and minimum distribution cost is established and a two-stage solution algorithm is designed. The self-adaptive grid density method and neighborhood crowding density method are used to maintain the external archives and to select the global optimal particles, and the convergence of the multi-objective particle swarm optimization (MOPSO) and the diversity of the later population can be improved to obtain the initial feasible solution. The initial feasible …

Feature Matching Algorithm Based On Optimal Geometric Constraints And Ransac, Xiaojuan Ning, Jieru Li, Fan Gao, Yinghui Wang

Journal of System Simulation

Abstract: In order to solve the problem that it's hard to reconcile the quality and computational efficiency of feature point matching. The initial matching for the extracted feature points is implemented through k-nearest neighbor (KNN) algorithm. According to the characteristics of equal length and same slope of the connecting line between matching points, the optimal geometric constraint is constructed based on the statistical sorting strategy to eliminate the obvious matching errors. Then random sample consensus (RANSAC) algorithm is utilized for further filtering to ensure the accuracy of the feature matching point pairs. Experimental results show that the method can obtain …

An Unmanned Swarm Search Method Based On Human-Robot Cooperation, Xin Zhou, Weiping Wang, Yifan Zhu, Tao Wang, Tian Jing

Journal of System Simulation

Abstract: Human-robot collaboration is a research hotspot and the human and unmanned swarm collaborative search is a typical scenario. It can carry out the more complex tasks by combining the human complex reasoning capabilities with repeated and precise execution capabilities of unmanned swarm. Based on the high-value target search of the uncertain scenarios, the concept definition for the collaborative search of human and unmanned swarm is given. A multi-agent dynamic programming model under uncertain with unknown prior knowledge is proposed, established to describe how the multi-agent system carries out the search under human support. A dynamic programming algorithm …

Research On Physical Layer Security Of Full-Duplex Uav Relaying, Shu Ye, Xiaodong Ji, Wenhua Li

Journal of System Simulation

Abstract: Aiming at the physical layer security of a full-duplex UAV relaying system, a novel scheme based on the joint optimization of the transmit power and UAV flight trajectory is proposed. Under the condition of limited transmit power and flight trajectory, a joint optimization that maximizing the average secrecy rate of the system is constructed. The non-concave problem that cannot be solved directly is resolved into two sub-problems of transmit power and flight trajectory optimization, which can be transformed into the concave problem by the successive convex approximation method. An iterative algorithm is proposed to obtain the numerical solution of …

Continuous Simulation Technology For Multi-State Evolution Of Urban Road Traffic, Qinglu Ma, Lin Zhang, Xinxin Yuan, Fengjie Liu

Journal of System Simulation

Abstract: Arming at the decreased positioning accuracy caused by the environment dynamic change of indoor positioning system, an error compensation algorithm based on XGBoost fusion elastic net is proposed. XGBoost positioning model is used to make a preliminary prediction on the target position. When the indoor environment changes, the elastic net algorithm is used to construct an error compensation model to correct the positioning error of XGBoost positioning model. The experimental results show that when only 15% of the fingerprint database samples need to be updated, the positioning accuracy of the proposed algorithm is controlled in 0.73m at the 80% …

Microscopic Nuclei Classification, Segmentation, And Detection With Improved Deep Convolutional Neural Networks (Dcnn), Md Zahangir Alom, Vijayan K. Asari, Anil Parwani, Tarek M. Taha

Electrical and Computer Engineering Faculty Publications

Background Nuclei classification, segmentation, and detection from pathological images are challenging tasks due to cellular heterogeneity in the Whole Slide Images (WSI). Methods In this work, we propose advanced DCNN models for nuclei classification, segmentation, and detection tasks. The Densely Connected Neural Network (DCNN) and Densely Connected Recurrent Convolutional Network (DCRN) models are applied for the nuclei classification tasks. The Recurrent Residual U-Net (R2U-Net) and the R2UNet-based regression model named the University of Dayton Net (UD-Net) are applied for nuclei segmentation and detection tasks respectively. The experiments are conducted on publicly available datasets, including Routine Colon Cancer (RCC) classification and …

Optimal Operation For Park Integrated Energy System Considering Interruptible Loads, Lixin Ma, Ying Cheng

Journal of System Simulation

Abstract: The operating mode of thermal power generation units has certain limitations in peak shaving capacity. Interruptible load (IL), as a power resource to be tapped, can be applied to the park integrated energy management and microgrid systems to guide users to reduce peak electricity consumption. The IL function is introduced into the park integrated energy system with combined heat and power units to improve the system's peak shaving ability, and the corresponding model is established with the optimization goal of economy. Taking an ecological park of northern region as the example, the adaptive chaotic particle swarm algorithm is used …

Radar Remote Sensing Data Augmentation Method Based On Generative Adversarial Network, Xu Kang, Xiaofeng Zhang

Journal of System Simulation

Abstract: In the research field of radar remote sensing, both the completeness and diversity of radar data samples cannot meet the requirement of effective training of deep learning models, and the models are prone to over-fitting, which significantly limits the wide application of deep learning techniques in this field. Targeting on the needs of intelligent application in radar remote sensing, a microwave imaging radar suited data augmentation method is proposed to solve the issue of insufficient radar data samples by leveraging the general framework of generative adversarial network. Aiming at the features of radar samples being not obvious, the label …

A Devs-Based Formal Description Method For Complex Product Behavior Models, Qingquan Lin, Jiaran Yang, Heming Zhang

Journal of System Simulation

Abstract: For the online optimization of pedestrian flow control in subway station, an algorithm frame for pedestrian flow control in subway station based on machine learning is designed. The pedestrian flow control process of a subway station during morning rush hour is selected,and the agent-based model is built to simulate the control process. The training data is collected through the multiple runs of the model, which is used as the input of deep reinforcement learning network, and the mature net is obtained through adequate training to provide the optimizing scheduling policy. Linking the actual data with the mature net …

New Synthetic Reactions Enabled By Protected Oxyallyl And Amidoallyl Cations, Binod Nepal

LSU Doctoral Dissertations

This dissertation entails design and development of two new synthetic methodologies made possible through the generation of cationic species, namely oxyallyl and amidoallyl cations. Chapter 1 involves literature survey on generation and trapping of oxyallyl cations. Mostly known for cycloaddition reactions with these elusive species, the most recent approach of direct nucleophilic capture of oxyallyl cations are discussed. Apt design of substrates and reaction conditions by Kartika Group to access a-electrophilic carbon towards the synthesis of a variety of value-added compounds, i.e., 1,4- and 1,6-dicarbonyls, carbazoles, densely substituted pyrroles and furans are elaborated.

Chapter 2 focuses on our discovery of …

Research On Space Launch Visualization Simulation Analysis Technology And Application, Feng Wu, Xiuluo Liu, Jia Wang, Yang Liu, Sujiang Li, Yan Zhong

Journal of System Simulation

Abstract: Through the typical cases in the field of military, society, manufacturing etc., this paper introduces the concept and features of complex engineering system of systems as well as the significance of modeling and simulation for the study of complex engineering system of systems. Taking complex product manufacturing as an example, the evolution process from systems engineering to model-based systems engineering (MBSE) and then to modeling and simulation-based system of systems engineering is analyzed. The characteristics and challenges of modeling and simulation of complex engineering system of systems is discussed. Some research topics in filed of MSBS2E is introduced, which …

Hybrid Variable Neighborhood Search Algorithm For The Multi-Trip And Heterogeneous-Fleet Electric Vehicle Routing Problem, Weiquan Wang, Ding Ding, Shuyan Cao

Journal of System Simulation

Abstract: Based on the real business practice, the multi-trip and heterogeneous-fleet electric vehicle routing problem (MTHF-EVRP) with time windows in green logistics is studied. A path-based mixed-integer linear model is built for the precise solution to the small-scale instances. A hybrid variable neighborhood search algorithm (Hybrid VNS) combined the variable neighborhood search algorithm with the labeling algorithm is proposed for the large-scale instances. The algorithm generates a modified insertion heuristic with random factor to construct the initial solution, allows the time window and range violation, adopts the neighborhood operators for the local search, and applies a labeling algorithm to solve …

Editorial: Special Issue “Innovative Techniques And Approaches In The Control And Prevention Of Rabies Virus”, Amy T. Gilbert, Ryan M. Wallace, Charles E. Rupprecht

United States Department of Agriculture Wildlife Services: Staff Publications

Rabies is an ancient lethal scourge that has plagued humankind for centuries. Globally, 60,000 human deaths are estimated to occur each year from rabies virus (RABV) transmission in domestic dogs, mostly affecting children. While rabies is recognized as a neglected disease, there is cause for optimism in the context of growing global recognition, collaboration and commitment to advance a tripartite agenda to eliminate human deaths transmitted from rabid dogs by 2030, also known as “Zero By Thirty” (ZBT). Nevertheless, the ZBT goal must also confront competing challenge(s) of tracking and mitigating human morbidity and mortality during a global pandemic caused …