Digital Commons Network^™

Simulation Research On Multi-Aircraft Conflict Resolution Based On Improved Chaotic Ant Colony Algorithm, Liang Tong, Jie Yang, Xusheng Gan, Di Shen, Wenda Yang, Daxiong Chen

Journal of System Simulation

Abstract: A chaotic ant colony algorithm based on dynamic volatility factor is proposed to solve the problem of multi-aircraft conflict resolution during free flight of fighter jets. The mathematical modelling is conducted on the conflict resolution problem of multiple fighter jets in the air. Based on the performance characteristics of fighter jets, fighter protection zone models, flight conflict models, and resolution models are established respectively. The chaotic ant colony algorithm is improved by using Logistic mapping and Henon mapping to optimize the pheromone update formula in the ant colony algorithm, and setting a dynamic factor for the pheromone volatilization factor …

Research On Mixed-Model Assembly Line Balancing Optimization Based On Hybrid Genetic Tabu Search Algorithm, Ke Wang, Sijia Guan, Xiyan Yin, Xixing Li, Hongtao Tang

Journal of System Simulation

Abstract: Aiming at the problem of unbalanced running load caused by idle or blocked workstations in the assembly line of mixed-flow hydraulic pump, a hybrid genetic tabu search algorithm solution and computer simulation verification method are proposed. A hybrid genetic tabu search algorithm with strong local search capability is designed with the optimization objectives of minimizing the production beats of the mixed-flow assembly line, the operational loads distributed among different workstations and the operational load smoothing indices of different products within the same workstation. The algorithm incorporates multi-fragment crossover and fragmentation of feasible solutions through Hamming distance mutation operations. The …

Research On The Digital Twin Architecture And Application Of Cnc System, Xiyang Zhang, Xusheng Lin, Rui Zhou, Yi Hu

Journal of System Simulation

Abstract: In response to the intelligent and digital requirements for virtual debugging, performance evaluation, and machining quality optimization of CNC systems in the field of production and manufacturing, a five dimensional digital twin system of CNC systems combining virtual and real is constructed based on digital twin technology. And combined with relevant new generation information technology, the digital twin system is modeled in multiple fields, including information models, mechanism models, and digital threads, to achieve comprehensive simulation and analysis of physical entities and processing processes. The study also verifies the feasibility of data transmission between CNC systems and digital twin …

Research And Implementation Of Digital Twin System For Mine Drainage Monitoring, Qinghui Wu, Yaqing Bao, Zhongxin Zhao, Xu Huang, Yuchen Wei

Journal of System Simulation

Abstract: The conventional mine drainage monitoring system faces problems such as poor visualization, insufficient linkage, and monotonous real-time monitoring methods for mine drainage in dynamic environments. Combining digital twin technology, a digital twin system for mine drainage monitoring has been developed. Through the construction of digital space, virtual real interaction layer structure framework, and three-dimensional visualization system data architecture, combined with fluid mechanics, using Unity3D development engine and five dimensional model ideas, a three-dimensional visualization system architecture for mine drainage is constructed, achieving various application functions such as real-time monitoring, fault warning, and virtual real mixed control. The feasibility of …

Design And Function Analysis Of New Steering System For Autonomous Vehicle, Peng Ji, Jinpeng Zhao, Limin Jiang

Journal of System Simulation

Abstract: For the current requirements of regulations and technical maturity, the steering system for autonomous vehicles must have the driver takeover function, explore the permanent magnet coupling device embedded in the steering system, and design a new steering system, which can realize the switch between automatic driving mode and driver takeover mode. The overall design of the new steering system is carried out. The system can realize the functions of steering wheel silence, road sense simulation, overload protection and mechanical steering redundancy, and realize the redundant design of steering system without adding additional hardware. The key component of the system, …

Research On Path Planning Method For Autonomous Underwater Vehicles Based On Improved Informed Rrt, Bensheng Qi, Yan Li, Hongxia Miao, Jialin Chen, Chenglin Li

Journal of System Simulation

Abstract: In response to the autonomous underwater vehicle (AUV) path planning problem in complex underwater environments, an improved path planning algorithm based on Informed rapidly-exploring random trees (RRT) is proposed in this study. A target-biased sampling strategy and a target-biased extension strategy are employed to address the issue of lack of goal orientation in the sampling process, ensuring that target nodes become sampling points during random sampling. During path points extension, non-target sampling points are guided in the direction of the target point, thereby enhancing the algorithm's ability to search for the target during random sampling and extension processes. A …

Path Planning Of Mobile Robot Based On The Integration Of Multi-Scale A* And Optimized Dwa Algorithm, Jianmin Xu, Lei Song, Dongdong Deng, Yaoruo Chen, Wei Yang

Journal of System Simulation

Abstract: In order to solve the problems of sharply increasing computational and time costs, as well as poor flexibility of the traditional A* algorithm and dynamic window approach (DWA) in the face of largescale complex environmental path planning, a fusion algorithm based on the A* algorithm of the multiscale map approach(MMA) and the improved DWA algorithm is proposed. A multi-scale map set is established and an obstacle proportion factor is added to the heuristic function of the A* algorithm. The A* algorithm is used to calculate the optimal path on the coarse-scale map, and the optimal path is mapped onto …

Fake News Detection On X (Twitter), Sultan Mayoof Almutaiwei

Theses

The most important innovation globally is the internet, which is used by a huge number of people all around the world. People use the internet for different purposes. By using different social media platforms people share content and news. Thus, some people use these internet platforms to share false news or fake news among people. Propaganda against a person, group, organization, or political party may be present in this news. For an individual, it is difficult to distinguish between false and true news over the internet. Therefore, machine learning is the smart solution that can identify fake news on the …

The Fathers Have Eaten Sour Grapes: History Is The Wrong Test For Establishment Clause Questions In Public Schools, Abigail Riddle

Arkansas Law Review

The old quip goes, “As long as there are math tests, students will pray in the schools.” There is, however, a distinction between private and public prayers; the former allows religious students to find peace and comfort in a moment of anxiety, and the latter openly divides the religious majority from the religious and nonreligious minority, ostracizing the minority and exacerbating their nerves. This Note examines the constitutionality of religious exercises initiated by public school faculty and staff at public education’s founding, arguing that the special considerations present when considering prayer in these contexts are too important to be limited …

Met 303-452: Applied Thermodynamics, Angelantonio Tafuni

School of Applied Engineering and Technology Syllabi

No abstract provided.

Earth's Shadow Will Blanket The Moon During A Lunar Eclipse On March 14, Erik Johnson

Natural Science Faculty

A lunar eclipse is happening on Pi Day this year.

Lunar eclipses occur when Earth lines up between the Sun and the Moon, allowing the Moon to fall in our planet’s shadow. Although the Moon gets much darker, we can still see the shrouded satellite glow red and orange during a total eclipse. Earth’s atmosphere refracts sunlight, changing its trajectory and allowing some light to shine on the Moon. This is the light we see at dawn and dusk, when the sky turns from blue to yellow or orange. Thus, the eclipsed Moon is illuminated by all of Earth’s sunrises …

Do “Say-On-Pay” Votes Affect M&A Decisions?, Shantanu Dutta, Micah S. Officer, Ruixiang Wang, Pengcheng Zhu

Finance Faculty Works

This paper demonstrates that firms receiving above-industry-average support in their “say-on-pay” (SoP) votes engage in more M&A transactions in the subsequent year. Our empirical findings suggest that high levels of SoP voting support may boost managerial confidence, thereby stimulating increased pursuit of acquisitions. Moreover, we observe that managers garnering higher SoP vote support are more likely to secure shareholders' backing in M&A votes, receive higher compensation in successful deals, and face a reduced likelihood of forced turnover following unsuccessful deals. Additionally, we find that both short-term and long-term M&A performance significantly improves in deals announced by managers receiving higher SoP …

System Dynamics For Manufacturing: Supply Chain Simulation Of Hemp-Reinforced Polymer Composite Manufacturing For Sustainability, Gurinder Kaur, Ronald Kander

School of Design and Engineering Papers

Supply chain management (SCM) involves complexities and uncertainties in the flow of goods and services from raw materials to end users. Inaccurate estimation of raw materials, labor, or equipment can lead to financial losses and environmental impacts. This study explores the application of system dynamics modeling (SDM) in manufacturing hemp-reinforced polymer composites (HRPC) to optimize resource usage. Using SDM software STELLA^® (Version 3.7.3), selected for its affordability and features, the research demonstrates how system dynamics (SD) can enhance sustainability by minimizing materials, labor, and equipment, reducing energy consumption. A literature review identified a gap in existing research, as we …

Feasibility And Acceptability Of The Mazi Umntanakho Digital Tool In South African Settings: A Qualitative Evaluation, Catherine E. Draper, Caylee J. Cook, Elizabeth A. Ankrah, Jesus A. Beltran, Franceli L. Cibrian, Kimberley D. Lakes, Hanna Mofid, Lucretia Williams, Gillian R. Hayes

Engineering Faculty Articles and Research

To address the need for interventions targeting social emotional development and mental health of young children in South Africa, the Mazi Umntanakho (‘know your child’) digital tool was co-designed, and piloted with caregivers and 3–5-year-old children involved in home visiting programmes promoting early childhood development. The aim of this study was to qualitatively evaluate the feasibility and acceptability of this tool in four urban and four rural low-income communities, from the perspective of home visitors and caregivers. Focus groups were conducted with home visitors (n = 117) and caregivers (n = 72). Issues relating to the feasibility of …

Do Ais Dream Of Electric Boards?, Robert J. Rhee

Northwestern University Law Review

When artificial intelligence (AI) acquires self-awareness, agency, and unique intelligence, it will attain ontological personhood. Management of firms by AI would be technologically and economically feasible. The law could confer upon AI the status of legal personhood, as it did upon traditional business firms in the past, thus dispensing with the need for inserting AI as property within the legal boundary of a firm. As a separate and distinct entity, AI could function independently as a manager in the way that legal or natural persons do today: i.e., AI as director, officer, partner, member, or manager. Such a future is …

Classifying Items With The Rating Values 3 Using Text Reviews To Improve The Recommendation Accuracy In The Collaborative Filtering Approach, Ali Mohsin Ahmed Al-Sabaawi, Mohsin Hasan Hussein, Muyassar Dalli

Karbala International Journal of Modern Science

Collaborative filtering is a common aspect recently used in e-commerce to increase sales and overcome information overload. One significant limitation in collaborative filtering is data sparseness. Several studies have proposed alleviating this issue by utilizing extra information such as users’ reviews. However, the researchers have been concerned with using entire reviews irrespective of the users’ ratings. This requires extra processing time and might perplex the recommendation decision. In this study, after analyzing the users’ ratings and reviews, it was noted that when the rating values are 4 or 5, most of the reviews accompanying these ratings are positive. Otherwise, when …

Computational Investigation Of The Unveils Nsd2 Inhibition Potential Of Berberis Vulgaris, Sambucus Nigra, And Morus Alba Through Virtual Screening, Molecular Docking, Md Simulation, And Dft Analyses, Supriyo Saha, Vanshita Gupta, Ahad Hossain, Prinsa Prinsa, Jannatul Ferdous, Kiran Bharat Lokhande, Vikash Jakhmola, Sarkar M. A. Kawsar

Karbala International Journal of Modern Science

Nuclear receptor binding set domain protein 2 (NSD2) plays a key role in chromatin regulation and is associated with different cancers and other developmental problems. Berries are rich in major secondary metabolites with anticancer properties. Here, we virtually screened 145 berry phytochemicals as putative NSD2 inhibitors via structure-based virtual screening, molecular docking, MD simulations, and DFT and ADMET analyses. Among them, α-carotene had the maximum docking score of -9.9 kcal/mol, followed by sulfuretin and β-amyrin. MD simulation analysis revealed that the dynamic behavior of the ligand‒NSD2 complexes was within the limit, indicating no significant changes in the structural integrity of …

Antimicrobial Effect Of Herbs Extracted With Ethanol Compared To Ampicillin, Brianna Neilan, Laura Rowe

Posters-at-the-Capitol

Antibiotics are commonly used to treat bacterial infections within the medical field, however there are growing concerns of antibiotic resistance. Before the introduction of antibiotics herbs were commonly used to treat infections, and herbal medicine is still used in many communities and cultures. Bacteria’s increasing resistance to traditional antibiotics has caused herbal medicines to become a significant research topic recently. Methods of herbal medicine preparation include preparing teas using hot water, and tinctures that soak herbs in alcohol for several weeks. Previous research has shown significant antimicrobial effects of some herbs when soaked in water and other liquids. The aim …

Novel Approach For The Micro Cracks Detection Of Solar Wafers And Cells, Mohd Israil, Arvind Kumar Sharma, Ekta Gupta

Al-Bahir

This paper deals with the review of various existing technique for the microcracks detection in silicon solar cell and wafer. In addition to this, we proposed a novel approach for the machine learning technique for the inspection of the cracks those are existed in the solar cell and wafer and not able to detect by the naked eyes. There are many techniques have been developed by the various researchers around the world to inspect solar cells for defect. All the techniques discussed in this article having some features and some weakness too. This paper present here gives the two-fold solution …

Optimizing Biofuel Production In Nigeria: Evaluating Wood Species For Efficient Briquettes Using Polyvinyl Alcohol, Omogbolade L. Adepitan, Bukola M. Adeyemi-Ekeolu

Al-Bahir

Improving biofuel production in countries like Nigeria is important to the development and sustainability of the energy sector in the country. With the growing population in the country, the demand for energy will increase, and conversely, the threat to climate and ecosystems will increase. To cushion this effect, attention needs to be shifted to farm wastes as a sustainable option for energy production. Briquette production has been at the focal point of researchers for many years. This study explores 12 different wood species commonly found around Nigeria with starch and polyvinyl alcohol (PVA) as binding agents. Briquettes from these wood …

Met 303-102: Applied Thermodynamics, Ali Rohafza

School of Applied Engineering and Technology Syllabi

No abstract provided.

Landslide Susceptibility Assessment Of The Wanzhou District: Merging Landslide Susceptibility Modelling (Lsm) With Insar-Derived Ground Deformation Map, Chao Zhou, Lulu Gan, Ying Cao, Yue Wang, Samuele Segoni, Xuguo Shi, Mahdi Motagh, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

The prevalent catalog-based Landslide Susceptibility Modelling (LSM) operates under the assumption that future landslide occurrences mirror past and current patterns. Due to growing urban expansion and climate change, certain landslides follow new patterns of occurrence, disrupting the foundational assumption of catalog-based LSM and leading to constraints in the effectiveness of traditional susceptibility maps. Here, to address this problem, we proposed a method to produce more accurate and dynamic landslide susceptibility maps by coupling advanced Ensemble Machine Learning (EML) and Multi-Temporal Interferometric SAR (MT-InSAR). The Wanzhou District in Three Gorges Reservoir area of China is considered as the test site. The …

Prediction-Powered Inference For Clinical Trials, Pierre-Emmanuel Poulet, Maylis Tran, Sophie Tezenas Du Montcel, Bruno Dubois, Stanley Durrleman, Bruno M. Jedynak

Mathematics and Statistics Faculty Publications and Presentations

Prediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a novel approach to standard statistical estimation leveraging machine learning systems to enhance unlabeled data with predictions. We use this paradigm in clinical trials. The predictions are provided by disease progression models, providing prognostic scores for all the participants as a function of baseline covariates. The proposed method would empower clinical trials by providing untreated digital twins of the treated patients while remaining statistically valid. The potential implications of this new estimator of the treatment effect in a two-arm randomized clinical trial (RCT) are manifold. First, it leads …

Influence Of Process Parameter And Build Rate Variations On Defect Formation In Laser Powder Bed Fusion Ss316l, Tasrif Ul Anwar, Patrick Merighe, Rahul Reddy Kancharla, Boopathy Kombaiah, Nadia Kouraytem

Mechanical and Aerospace Engineering Student Publications and Presentations

Laser powder bed fusion (LPBF) is an additive manufacturing process that has gained interest for its material fabrication due to multiple advantages, such as the ability to print parts with small feature sizes, good mechanical properties, reduced material waste, etc. However, variations in the key process parameters in LPBF may result in the instantiation of porosity defects and variation in build rate. Particularly, volumetric energy density (VED) is a variable that encapsulates a number of those parameters and represents the amount of energy input from the laser source to the feedstock. VED has been traditionally used to inform the quality …

Congenital Rickets, Melissa Intriago

Mako: NSU Undergraduate Student Journal

No abstract provided.

One Heart, One Vessel: Unraveling The Mystery Of Truncus Arteriosus, Claudette C. Artiles

Mako: NSU Undergraduate Student Journal

No abstract provided.

What’S New In Esophageal Atresia Treatment?, Alexandra N. Jimenez Gonzalez

Mako: NSU Undergraduate Student Journal

No abstract provided.

A Bayesian Network For Business Uncertainties In Coal Mining Industry, Firman Risqul Fidry, Iwan Vanany, Jerry Dwi Trijoyo Purnomo

Journal of Sustainable Mining

In recent years, business uncertainty in the coal mining industry has increased along with increasing global energy demand and carbon emission reduction policies. Not much research has been done on business uncertainty in the coal mining industry based on modelling. This study aimed to develop a model for business uncertainty in the coal mining industry using a Bayesian network approach. The Indonesian coal mining industry was utilized as a case study to develop the proposed model. Two dimensions and nine factors were identified and structured based on a literature review and rigorous interviews with three interviewees from three companies. Each …

Eco-Efficiency And Life Cycle Assessment Of The Long Reach Directionally Drilled And Cross-Measure Boreholes Methane Drainage Technologies Employed In Bituminous Coal Mine On The Basis Of The Pilot Scale Experimental Data, Bartłomiej Jura, Piotr Krawczyk, Anna Śliwińska, Jacek Skiba, Marcin Karbownik, Natalia Howaniec

Journal of Sustainable Mining

This paper presents the results of eco-efficiency and life cycle analysis conducted for two methane drainage technologies: cross-measure (CM) and long reach directionally drilled (LRDD) boreholes. In the analyses, data from coal mine methane drainage of two coal panels, I-C and II-C, located at the Staszic-Wujek coal mine in Poland, were used. The results of the life cycle and eco-efficiency assessments showed that employment of long reach directional drilling boreholes method has a lower environmental impact and is more eco-efficient, causing the lower environmental impact and lower construction and operating costs per cubic meter of methane extracted. The results of …

Acknowledgement Of Reviewers

Journal of Sustainable Mining

No abstract provided.