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Research On Simulation Model Of Double-Layer Expansion Design Of Expressway, Jiandong Qiu, Yi Tang, Yuxiong Ji, Heng Liu, Junsha Luo

Journal of System Simulation

Abstract: Aiming at the problems that the traditional traffic simulation technology has insufficient evaluation accuracy and little application effect in the three-dimensional composite expansion scenario of expressway, a simulation model construction method for double-layer expansion design of expressway was proposed. The reconstruction and expansion project of Shenzhen Jihe Expressway is selected as the research object, the three simulation model modeling elements, including road network facilities, traffic demand data, and driving behavior model parameters, are sorted out, and the technical process of simulation modeling is proposed. The whole road network including key infrastructure such as interchange, toll station, ramp up and …

A Graph Neural Network Visual Slam Algorithm For Large-Angle View Motion, Jinhui Liu, Mengyuan Chen, Pengpeng Han, Hebao Chen, Yukun Zhang

Journal of System Simulation

Abstract: Aimed at the difficulty of feature point extraction in mobile robots with drastic changes in illumination or sparse texture scenes under large-angle view motion, difficulty in matching features at extreme angles leads to large errors in Epipolar Geometry calculations, a fusion of an improved graph neural network based visual SLAM algorithm (GNN-SLAM) is proposed. The priori location estimation feature extraction network is proposed to achieve fast and uniform detection and description of image feature points by a priori location estimation and to construct real and accurate feature point information. The graph attention mechanism feature matching network is proposed to …

Implementation And Numerical Simulation On Object-Oriented Elastic-Plastic Finite Element Method Based On Python, Henghui Li, Yingxiong Xiao

Journal of System Simulation

Abstract: With the continuous expansion of the application fields of finite element methods, higher requirements are put forward for the scalability of finite element methods. In order to overcome the defects of the traditional finite element methods, a simple and easily extensible object-oriented elasticplastic finite element program framework is proposed based on Python. Combined with the characteristics of Python, we design some finite element classes such as the pre-processing class, the post-processing class, the linear solution class, the stress integration class and the analysis class. By applying the resulting framework to several typical elastic-plastic mechanical problems and comparing the results …

Optimization Of Highway Emergency Lane Control Based On Kriging Genetic Algorithm, Jinjun Tang, Lipeng Hu, Mingyang Li, Xuan Zhang

Journal of System Simulation

Abstract: To address the issue of how to effectively improve the highway operational efficiency and reduce the safety risks under different traffic flow conditions, this study proposed a genetic algorithm based on Kriging agent model is proposed to optimize the emergency lane control strategy. A mathematical optimization model is designed by combining the spatial and temporal characteristics of the emergency lane opening strategy. By introducing Kriging agent model, combining the genetic algorithm to build the optimization framework, and using simulation software to obtain data to train the agent model, the problem of minimizing the total travel time and the total …

Research On Forest Fire Spread Simulation System Based On Osg, Lei Shao, Xiaotian Yan, Jian Liu, Yuming Liu

Journal of System Simulation

Abstract: A novel expended lattice structure of DEM-Cell model incorporating DEM elevation information is proposed, in response to the requirements of extrapolation of trends and hazards of forest fire spread, as well as the need of route selection and real-time path optimization for rescuers. Combining vegetation attributes of meta cells with geographic elevation information, we develop a simulation and fire fighting exercise system that computing the resultant data in real time and converting it into renderable resource, which is directly used by the OSG engines. With the help of the same data structure and the corresponding key algorithms and technologies, …

Formula: A Poetic Alchemy Of Emotion And Identity, Arman Eshtiaghi

Graduate Artistry Projects and Performances

"FORMULA: A Poetic Alchemy of Emotion and Identity" is an interdisciplinary art project that explores the intersection of mathematical symbolism, typography, and emotional cartography to examine the complexities of identity formation. Rooted in personal experiences and queer theory, the project delves into the cognitive processes that shape the self, particularly within the context of sexual orientation and societal norms. By intertwining poetry with digital media—such as 3D animation, video projections, and deep neural network-generated visuals—"FORMULA" creates a multisensory experience that invites viewers to engage with the intricate landscapes of human consciousness.

The exhibition challenges traditional perceptions of identity by employing …

Hierarchical Guided Enhanced Multi-Objective Firefly Algorithm, Jia Zhao, Zhizhen Lai, Runxiu Wu, Zhihua Cui, Hui Wang

Journal of System Simulation

Abstract: The multi-objective firefly algorithm is easy to produce oscillation and aggregation phenomenon in the solution process, which leads to weak development ability and poor solution accuracy. This paper proposes a hierarchical guided enhanced multi-objective firefly algorithm (HGEMOFA). HGEMOFA builds a hierarchical guidance model, uses non-dominated sorting to obtain different levels of individuals. The individuals in the dominant layer are used to guide the evolution of the individuals in the inferior layer, the guidance direction is clear, the oscillation in the evolution process is solved, the aggregation phenomenon is reduced, and the convergence of the algorithm is enhanced. The Lévy …

Understanding The Misunderstandings: Using Deliberative Democracy And Communication Ethics To Overcome Societal Polarization In Post-Truth America, Jessica Neu

Electronic Theses and Dissertations

This work contributes to communication scholarship by advancing the discussion of deliberative democracy to include communication ethics and popular culture artifacts to use as case studies in an exploration of how to engage in a type of dialogic civility that acknowledges identity politics without allowing it to be a barrier to progress in a post-truth society. As such, this work provides a sense of how to engage in conversation that recognizes and hears the Other in a way that makes all stakeholders uncomfortable. From this discomfort comes growth, as individuals do not necessarily need to completely alter their ideologies, morals, …

A Gift Not Given: An Examination Of Disproportionality For Black Students And Gifted Education Through The Lens Of Representation And Improvement, Casey Weiss

Electronic Theses and Dissertations

Giftedness is a particular trait giving designation to a specific group of people in a school population. While identification methods vary from state to state, the status of being gifted is granted to some students, creating a dichotomy of those who receive gifted services and subsequent privileges and those who remain left out. Historically, Black students and other marginalized populations have had less participation in gifted programs. The literature highlights several factors connected to inequity in giftedness including lack of a cohesive definition of the term (or even if the concept of giftedness is real or socially constructed), nomination and …

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Design And Implementation Of A Machine Learning Predictive Model For Crop Yield In Indoor Vertical Hydroponics Farming, Emna Bouzid

Theses and Dissertations

To optimize agricultural practices and address water scarcity, this work introduces Vertical Hydroponics and Machine Learning (ML) to smart agriculture, using data from Internet of Things (IoT) sensors to enhance crop production in low and medium-income countries, particularly Tunisia's, hydroponic farms. This research is an innovative approach to enhancing crop production within indoor vertical hydroponic systems by utilizing different ML predictive models and assessing their performance. This part was done at UALR while the data collection was done at MedTech, with 21 basil plants. This study compares Linear Regression, Long Short-Term Memory (LSTM), and Deep Neural Networks (DNN) for precision …

Youth Interest In Reusable Menstrual Hygiene Products: An Opportunity For Improving Menstruation Management, Makenna R. Eccles

College Honors Program

Adolescents experience inconsistent menstrual hygiene material access that is exacerbated by poverty and results in menstruation management difficulty, health risks, and interruptions to school attendance. The study centered the adolescent menstruation management experience through qualitative interviews to identify management difficulties and to assess knowledge, interest, and perceived feasibility of implementing reusable menstrual hygiene materials such as reusable sanitary pads, period underwear, menstrual cups, and menstrual disks to improve both menstrual hygiene access and menstrual management experiences. Inductive and deductive coding was used to analyze interview data and identify key themes. Adolescents expressed interest in reusable menstrual hygiene materials due to …

Rawls, Game Theory, And The Multiple Meanings Of Equality, David Crump

St. Mary's Law Journal

No abstract provided.

A Content Analysis: Girls And Young Women In Computer Science, Wilma Ann Anderson

Seton Hall University Dissertations and Theses (ETDs)

The national conversation about STEM education continues. While math and science have been a constant in K–12 and higher education, curriculum in technology and engineering have not been consistently part of the tapestry of American education. As such, there is a dearth of qualified candidates for the ever-growing number of computer science and engineering career opportunities. Prevailing stereotypes that depict the typical workforce in these industries as White and male contribute to the lack of representation of other groups. This study focused on the representation of girls and young women in computer science between the years of 2005–2018. Data tracking …

Advective And Diffusive Gas Phase Transport In Vadose Zones: Importance For Defining Vapour Risks And Natural Source Zone Depletion Of Petroleum Hydrocarbons, Kaveh Sookhak Lari, Greg B. Davis, John L. Rayner, Trevor P. Bastow

Research outputs 2022 to 2026

Quantifying the interlinked behaviour of the soil microbiome, fluid flow, multi-component transport and partitioning, and biodegradation is key to characterising vapour risks and natural source zone depletion (NSZD) of light non-aqueous phase liquid (LNAPL) petroleum hydrocarbons. Critical to vapour transport and NSZD is transport of gases through the vadose zone (oxygen from the atmosphere, volatile organic compounds (VOCs), methane and carbon dioxide from the zone of LNAPL biodegradation). Volatilisation of VOCs from LNAPL, aerobic biodegradation, methanogenesis and heat production all generate gas pressure changes that may lead to enhanced gas fluxes apart from diffusion. Despite the importance of the gaseous …

To Essa And Beyond: Arc Of Education Policy Bends Toward Local Authorities & Holistic Approaches, Adam Tanielian

St. Mary's Law Journal

This Article presents a mixed-methods, interdisciplinary study on educational policy and practice to offer solutions to fossilized problems extant across the United States’ elementary and secondary schools. Analysis of historic Supreme Court decisions and statutes unveil compelling trends that have shaped the legal landscape over the latter half of the twentieth century. Linguistic comparisons of two milestone revisions of the 1965 Elementary and Secondary Education Act—No Child Left Behind (NCLB) and Every Student Succeeds Act (ESSA)—show Congress granted more flexibility and authority to local districts and states under ESSA, which reflected trends in Supreme Court opinions over several decades.

A …

Improving 2–5 Qubit Quantum Phase Estimation Circuits Using Machine Learning, Charles Woodrum, Torrey J. Wagner, David E. Weeks

Faculty Publications

Quantum computing has the potential to solve problems that are currently intractable to classical computers with algorithms like Quantum Phase Estimation (QPE); however, noise significantly hinders the performance of today’s quantum computers. Machine learning has the potential to improve the performance of QPE algorithms, especially in the presence of noise. In this work, QPE circuits were simulated with varying levels of depolarizing noise to generate datasets of QPE output. In each case, the phase being estimated was generated with a phase gate, and each circuit modeled was defined by a randomly selected phase. The model accuracy, prediction speed, overfitting level …

Conceptualising And Enacting Pathways To Transformative Climate Justice: Examples From The Philippines, Justin See, Anne Shangrila Fuentes, Emma Porio, Brooke Wilmsen

Sociology & Anthropology Department Faculty Publications

Scholarship on climate change adaptation is increasingly moving from incremental responses to climate injustice towards transformative approaches that deliberately change systems to achieve just and equitable outcomes. A transformative understanding of climate justice is relatively new and evidence of how this could be achieved is in its infancy. In this paper, we conceptualise transformative climate justice as comprised of three subcomponents: (1) inclusive justice (seeking to ensure that no one, especially the most vulnerable, is left behind), (2) epistemological justice (drawing upon diverse knowledges and worldviews), and (3) restorative justice (healing and restoration of communities and the environment). We then …

Research On Path Planning Of Warehouse Robot With Improved Harris Hawks Algorithm, Xu Lei, Jingyi Chen, Xiaoyang Chen

Journal of System Simulation

Abstract: To improve the path planning efficiency of warehouse mobile robots in static environments, and to solve the problems of slow convergence and local optimum of traditional Harris Hawk (HHO) algorithm in path planning, a Harris Hawk optimization algorithm based on Tent chaotic mapping fused with Cauchy's back-learning variant (TCLHHO) is proposed. The population diversity is increased by Tent Chaotic mapping to speed up convergence. An exponential prey escape energy updating strategy is proposed to balance the global search and local exploitation capabilities of the algorithm. The optimal individual is disturbed by Cauchy mutation operator and inverse learning strategy to …

Research On Collaborative Optimization Method Of Multi-Uav Task Allocation And Path Planning, Peng Xiao, Feng Xie, Haihong Ni, Min Zhang, Zhili Tang, Ni Li

Journal of System Simulation

Abstract: Aiming at the task requirements of multi-UAV to perform multi-target collaborative reconnaissance, a collaborative optimization method of multi-machine and multi-objective task allocation and path planning is proposed. Based on the partheno genetic algorithms (PGA), a cost function combined with the actual path cost is constructed through the Dubins curve. To further reduce the calculation cost, a clustering algorithm based on UAV detection distance is proposed, and the generated clustering point is used as a new waypoint of UAV. The simulation results show that considering the dangerous area and the large number of reconnaissance points, the algorithm can effectively complete …

Tri-Training Algorithm Based On Density Peaks Clustering, Yuhang Luo, Runxiu Wu, Zhihua Cui, Yiying Zhang, Yeshen He, Jia Zhao

Journal of System Simulation

Abstract: Tri-training can effectively improve the generalization ability of classifiers by using unlabeled data for classification, but it is prone to mislabeling unlabeled data, thus forming training noise. Tritraining (Tri-training with density peaks clustering, DPC-TT) algorithm based on density peaks clustering is proposed. The DPC-TT algorithm uses the density peaks clustering algorithm to obtain the class cluster centers and local densities of the training data, and the samples within the truncation distance of the class cluster centers are identified as the samples with better spatial structure, and these samples are labeled as the core data, and the classifier is updated …

Deep Learning Based Local Path Planning Method For Moving Robots, Zesen Liu, Sheng Bi, Chuanhong Guo, Yankui Wang, Min Dong

Journal of System Simulation

Abstract: In order to integrate visual information into the robot navigation process, improve the robot's recognition rate of various types of obstacles, and reduce the occurrence of dangerous events, a local path planning network based on two-dimensional CNN and LSTM is designed, and a local path planning approach based on deep learning is proposed. The network uses the image from camera and the global path to generate the current steering angle required for obstacle avoidance and navigation. A simulated indoor scene is built for training and validating the network. A path evaluation method that uses the total length and the …

Path Planning Of Unmanned Delivery Vehicle Based On Improved Q-Learning Algorithm, Xiaokang Wang, Jie Ji, Yang Liu, Qing He

Journal of System Simulation

Abstract: To solve the traditional Q-learning algorithm for unmanned vehicle path planning suffers from the problems of low planning efficiency and slow convergence speed, for this reason, a path planning algorithm for unmanned delivery vehicles based on the improved Q-learning algorithm is proposed. Learning from the energy iteration principle of the simulated annealing algorithm, adjusts the greedy factor ε to make it change dynamically during the training process, so as to balance the relationship between exploration and utilization, and thus improve the planning efficiency. The reward value in the reward mechanism is changed from a discrete value to a continuous …

Research On Simulation Methods For Forest Fire Extinguishing Using Water Mist, Bing Xiang, Xiaohong Dong, Yang Li

Journal of System Simulation

Abstract: As a highly hazardous natural disaster, the occurrence and spread of forest fires are usually affected by a variety of complex factors such as climate, terrain, vegetation, combustible materials, etc., which makes it difficult to accurately simulate the spread and extinguishing process of forest fires. The spread of forest fires and the process of water mist fire extinguishing are physically modele. The spread model adopts a tree module structure to simulate the pyrolysis reaction of tree burning, and considers the effects of temperature, wind field,mass loss rate and other factors on the spread of tree burning.In the fire extinguishing …

Time Slot Allocation Method Of Data Link Based On Improved Difference Algorithm, Yuting Zhu, Huankun Su, Xiaodong Feng, Shijie Lei, Yanfang Fu

Journal of System Simulation

Abstract: Aiming at the problems of single algorithm, being prone to local optima, and weak generalization ability of the current strategies, based on an improved differential evolutionary algorithm, a chaos algorithm, an adaptive variational crossover algorithm, and a problem solution processing mechanism, a time slot allocation strategy is proposed. The chaos algorithm is used to initialize the population to increase the diversity and avoid the premature convergence. The selection probability parameter is then used to make the crossover and variation process more flexible, expanding the search range in early to increase the possibility of global optima in late. The experiment …

Research On Verification Method Of Missile Elastic Suppression Based On Frequency Compensation, Rixin Su, Ou Zhang

Journal of System Simulation

Abstract: For the elastic model of missile body in six degree of freedom mathematical simulation, the research on the verification method of elastic vibration suppression is carried out.. The notch filter used for elastic vibration suppression is introduced, the verification idea for filter design in boost-phase and passive-phase stages of missile flight is analyzed, and the problem currently existing in mathematical simulation verification is pointed out. Based on the frequency modulation phenomenon, an online verification method of frequency compensation for the notch filter is put forward, and it can be found that the function can be applied to any order …

Algebraic Speed Estimation For Sensorless Induction Motor Control: Insights From An Electric Vehicle Drive Cycle, Jorge Neira-Garcia, Andres Beltran-Pulido, John Cortes-Romero

Purdue University Libraries Open Access Publishing Fund

Induction motors (IMs) must meet high reliability and safety standards in mission-critical applications, such as electric vehicles (EVs), where sensorless control strategies are fundamental. However, sensorless rotor speed estimation demands improvements to overcome filtering distortions, tuning complexities, and sensitivity to IM model mismatch. Algebraic methods offer inherent filtering capabilities and design flexibility to address these challenges without introducing additional dynamics into the control system. The objective of this paper is to provide an algebraic estimation strategy that yields an accurate rotor speed estimate for sensorless IM control. The strategy includes an algebraic estimator with single-parameter tuning and inherent filtering action. …

Image Self-Enhancement De-Hazing Algorithm Combined With Generative Adversarial Network, Wanjun Liu, Yuqian Cheng, Haicheng Qu

Journal of System Simulation

Abstract: To solve the problem that existing dehazing models are prone to over fitting after training with synthetic hazy image data sets, an image self-enhancement dehazing algorithm is proposed in combination with generative adversarial network. The depth information of an image is estimated while combining two Generative Adversarial Networks. The first GAN uses a clear image to learn the process of image hazing, and then adopts the hazed image generated by it as the input of the second GAN to guide the second GAN to correct dehazing. In order to reduce the difference before and after image processing, the consistency …

Cooperative And Optimal Control Of Multiple Mimo Objects Under Information Sharing, Jiong Shao, Xinchun Jie, Meng Wu

Journal of System Simulation

Abstract: Aiming at the problems of low cooperative efficiency and slow convergence of control algorithm for multiple MIMO objects in cyber-physical system (CPS), a cooperative optimization control strategy for multiple MIMO objects under the condition of information sharing is proposed. A new network control system structure with only physical layer and information layer is used to realize real-time sharing of state variables, control and detection information of multiple MIMO objects. Under the condition of information sharing, based on the performance indexes assigned by CPS and the physical constraints between each object, the cooperative controller designed by minimum principle realizes the …

Prediction Of Converter Gas Generation Based On Intermission Production Improved Elman, Jiajie Fei, Dinghui Wu, Junyan Fan, Jing Wang

Journal of System Simulation

Abstract: Aiming at large fluctuations of intermission and low prediction accuracy in iron and steel industry, based on the classification of intermission characteristics, a converter gas generation predicting model(CPSO-Elman) based on Elman neural network(ENN) optimized by chaotic PSO(CPSO) algorithm is proposed. The intermittent characteristics of converter gas generation time series are extracted and raw data is classified according to intermittent duration. The PSO algorithm improved by chaotic disturbance is introduced to optimize the initial weight and threshold of ENN and inertia weight of nonlinear updating is designed to balance global search ability and local search ability. Construct the combined prediction …

Mythos And Meaning: Medieval Appropriations Of Mythological Types In The Consolation Of Philosophy And Later Western Literatures, Francis J. Hunter

Seton Hall University Dissertations and Theses (ETDs)

Often referred to as the last Roman and first medieval, Boethius, author of The Consolation of Philosophy, has been widely received as an unoriginal philosopher who sought to preserve Platonic thought as the Western Roman Empire fell. However, this essay features an investigation into the literary originality of Boethius who initiates a line of Christian and Platonic literatures to follow in the medieval European tradition. Boethius demonstrates himself to be a poet who makes great use of philosophy rather than as a philosopher writing poetry. Boethius’ poetic influence is felt most strongly in major aspects of Dante’s Divine Comedy and …