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Relationship Between Broadleaf Dock (Rumex Obtusifolius L.) And Seasonal Yield Of Orchardgrass Grazed Pasture, Y Iijima, Y Kurokawa, T Monya, Y Suzuki Jun 2024

Relationship Between Broadleaf Dock (Rumex Obtusifolius L.) And Seasonal Yield Of Orchardgrass Grazed Pasture, Y Iijima, Y Kurokawa, T Monya, Y Suzuki

IGC Proceedings (1977-2023)

In order to grasp the ecology of R. obtusifolius and the effects of it on seasonal yield of grass in grazing pasture, we investigated seasonal sward characteristics and dry matter yield in grazing pasture. Dry matter yield and coverage of R. obtusifolius predominated those of grass after mid-June and mid-August, respectively. Throughout the year the coverage of R. obtusifolius negatively correlated to the grass yield. After August, the grass yield was negatively related to the yield and the population density of R. obtusifolius. From the facts described above, R. obtusifolius seems to reduce grass yield throughout the year, especially …

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The Influence Of Light On The Succession Of Calcareous Grassland Using A Gis As An Instrument For Analysis, G Spatz, Th Fricke Jun 2024

The Influence Of Light On The Succession Of Calcareous Grassland Using A Gis As An Instrument For Analysis, G Spatz, Th Fricke

IGC Proceedings (1977-2023)

The change of light transmission along a gradient from shrub center to open grassland and its correlation to vegetation composition has been studied in two shrub surroundings on abandoned calcareous grassland. Light measurements were made at soil surface locations in high density and later interpolated to area maps. Low-growing plants were mapped in plots within the shrub area and their shapes subsequently digitized. Using SPANS GIS an overlay of maps representing light transmission, distance to shrub center and apearance of low-growing plants was made by calculating averages in a specified grid to create data sets for a statistical evaluation. The …

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The Grazing Manager: A New Application Of The Carrying Capacity Concept, M M. Kothmann, R T. Hinnant Jun 2024

The Grazing Manager: A New Application Of The Carrying Capacity Concept, M M. Kothmann, R T. Hinnant

IGC Proceedings (1977-2023)

Common approaches to evaluating carrying capacity are stocking rate trials for research and trial and error adjustments for ranchers. These approaches are inadequate as operational decision guides for grazing management. The Grazing Manager (TGM) is a generalized management level dynamic model that provides a new approach to stocking rate analysis. Grazing pressure is integrated over time with a function called pasture demand ratio (PDR) which is based on cumulative forage demand relative to cumulative forage production within a forage year. PDR is a dynamic variable that standardizes the forage balance relationship and makes the analysis of stocking rate data more …

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Accounting For Selective Grazing In The Stocking Rate Decision, M F. Quirk, J W. Stuth Jun 2024

Accounting For Selective Grazing In The Stocking Rate Decision, M F. Quirk, J W. Stuth

IGC Proceedings (1977-2023)

We describe the development and use of a simple, generic method for predicting botanical composition of herbivore diets, thereby allowing resource managers to consider selective foraging when setting stocking rates. For a particular season and herbivore, we found that forage species fall into one of 3 selection categories: preferred (consistently selected for), undesirable (consistently selected against), and variable (inconsistent selection pattern). Our studies showed that, for most situations, dietary composition is adequately predicted from regression relationships with the field proportions of preferred and undesirable species. We demonstrate how this method can help address issues such as the conservation of preferred …

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Benefits Of Coding In The Elementary Classroom, Samantha Panek Jun 2024

Benefits Of Coding In The Elementary Classroom, Samantha Panek

Graduate Teacher Education

This capstone project focused on the potential benefits of coding, specifically for elementary-aged children. The literature review analyzed fifteen studies from around the world about benefits that could be gained from coding. Students coded with unplugged methods, block-based programs, and robots. Problem-solving was a common benefit found in research about elementary coding. Research also supported that specific content areas could be positively impacted through coding such as computational thinking and mathematical reasoning. Coding encouraged transferable life skills such as planning, collaboration, and creativity. (Arslan & Çelik, 2022; Murcia et al., 2020; O’Grady-Jones & Grant,2023;Wilson, 2020). Additionally, exposure to coding at …

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Discovering Potential In Non-Cancer Medications: A Promising Breakthrough For Multiple Myeloma Patients., Omar S Al-Odat, Emily Nelson, Tulin Budak-Alpdogan, Subash C. Jonnalagadda, Dhimant Desai, Manoj K Pandey Jun 2024

Discovering Potential In Non-Cancer Medications: A Promising Breakthrough For Multiple Myeloma Patients., Omar S Al-Odat, Emily Nelson, Tulin Budak-Alpdogan, Subash C. Jonnalagadda, Dhimant Desai, Manoj K Pandey

College of Science & Mathematics Departmental Research

Multiple myeloma (MM) is a common type of cancer that unfortunately leads to a significant number of deaths each year. The majority of the reported MM cases are detected in the advanced stages, posing significant challenges for treatment. Additionally, all MM patients eventually develop resistance or experience relapse; therefore, advances in treatment are needed. However, developing new anti-cancer drugs, especially for MM, requires significant financial investment and a lengthy development process. The study of drug repurposing involves exploring the potential of existing drugs for new therapeutic uses. This can significantly reduce both time and costs, which are typically a major …

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Simulation Of Rice Disease Recognition Based On Improved Attention Mechanism Embedded In Pr-Net Model, Yang Lu, Pengfei Liu, Siyuan Xu, Qiwang Liu, Fuqian Gu, Peng Wang Jun 2024

Simulation Of Rice Disease Recognition Based On Improved Attention Mechanism Embedded In Pr-Net Model, Yang Lu, Pengfei Liu, Siyuan Xu, Qiwang Liu, Fuqian Gu, Peng Wang

Journal of System Simulation

Abstract: Aiming at the low accuracy of existing CNN models in identifying rice leaf diseases, a hybrid convolutional neural network model PRC-Net (parallel residual with coordinate attention network) combining parallel structure and residual structure is proposed. A parallel structure is introduced to improve the receptive field of convolution, and the residual structure is combined to achieve the complete and continuous transmission of feature information. An improved spatial attention mechanism is embedded into the backbone model PR-Net to enhance the degree of aggregation of lesion feature information at different scales. In order to further improve the accuracy of disease identification and …

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Just-In-Time Learning Energy Consumption Predictive Modeling Method In Multi-Condition Production Process, Sheng Wei, Yan Wang, Zhicheng Ji Jun 2024

Just-In-Time Learning Energy Consumption Predictive Modeling Method In Multi-Condition Production Process, Sheng Wei, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the problem that the global energy consumption prediction model is only suitable for part of the prediction sample and the model is computationally intensive, the idea of just-in-time learning is introduced, and the local weighted partial least squares method combined with the energy consumption model is used to establish a temporary local energy consumption prediction model. The inertia weights of the particle swarm algorithm are improved, considering the effects of particle fitness, number of iterations and population size on the convergence speed and convergence accuracy of the particle swarm algorithm, a nonlinear change adaptive inertia weight strategy …

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Thinking Of Aerospace Equipment Systematization Simulation Technology Development, Weimin Bao, Zhenqiang Qi Jun 2024

Thinking Of Aerospace Equipment Systematization Simulation Technology Development, Weimin Bao, Zhenqiang Qi

Journal of System Simulation

Abstract: The aerospace field is flourishing in the new era. Aerospace equipment presents new characteristics such as systematization, new quality, high efficiency and intelligence. Simulation technology plays a more important role in the digital aerospace era as a means of enhancing efficiency and empowerment covering all stages of the entire lifecycle, including project demonstration, research and development, testing, manufacturing, training, and maintenance. The conception of aerospace equipment systematization simulation technology is introduced, the current development status and practices at home and abroad are elaborated, and the future development trends and challenges of aerospace equipment systematization simulation technology are evaluated. Focusing …

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Unsupervised Complex Condition Recognition Based On Stochastic Neighborhood Embedding, Lin Huang, Shanjun Liu, Wei Wang, Li Gong Jun 2024

Unsupervised Complex Condition Recognition Based On Stochastic Neighborhood Embedding, Lin Huang, Shanjun Liu, Wei Wang, Li Gong

Journal of System Simulation

Abstract: Modern industrial production equipment usually has a complex structure and runs alternately in different working conditions. Accurate working conditions identification based on monitoring data is the basis of health monitoring of the system, but the monitoring data of the system usually has a high dimension and a large data volume. To identify the complex equipment operating conditions, an unsupervised operating condition identification method based on stochastic neighborhood embedding is proposed. The stochastic neighborhood embedding algorithm can simultaneously preserve the local and global structural characteristics of the data, and also calculate the probability similarity of data points in high-dimensional and …

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Completion Time Simulation Prediction Method For Aircraft Assembly Process With Batch And Sortie, Changjian Jiang, Hu Fan, Tao Luo, Wen Yuan, Zehao He Jun 2024

Completion Time Simulation Prediction Method For Aircraft Assembly Process With Batch And Sortie, Changjian Jiang, Hu Fan, Tao Luo, Wen Yuan, Zehao He

Journal of System Simulation

Abstract: Aiming at the product differentiation analysis limitation of traditional discrete event simulation method, a simulation prediction method for aircraft assembly process with batch and sortie is proposed. Around the aircraft sortie number, the formal definition of various basic elements and interactions in the assembly process with batch and sortie is studied, and the construction of station and whole line simulation model is carried out. The simulation promotion framework and execution mechanism supporting the product differentiation analysis are studied. Based on the simulation results, a method for predicting the completion time of sorties based on interval estimation method is proposed. …

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Adaptive Pid Control Algorithm Based On Ppo, Zhiyong Zhou, Fei Mo, Kai Zhao, Yunbo Hao, Yufeng Qian Jun 2024

Adaptive Pid Control Algorithm Based On Ppo, Zhiyong Zhou, Fei Mo, Kai Zhao, Yunbo Hao, Yufeng Qian

Journal of System Simulation

Abstract: A six-axis robotic arm is built and simulated in a complex control environment with disturbances by using MATLAB physics engine and Python, which provides a trial-and-error environment for the robotic arm training that could not be provided in reality. Proximal policy optimization(PPO) algorithm in reinforcement learning is proposed to improve the traditional PID control algorithm. By introducing the multi-agent idea and on the basis of the different effects of the three parameters of PID on control system and the characteristics of the six-axis robotic arm, the three parameters are separately trained as different intelligent individuals to achieve a new …

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Fusing Rotation Angle Coding In Spherical Space For Human Action Recognition, Benyue Su, Bangguo Zhu, Mengjuan Guo, Min Sheng Jun 2024

Fusing Rotation Angle Coding In Spherical Space For Human Action Recognition, Benyue Su, Bangguo Zhu, Mengjuan Guo, Min Sheng

Journal of System Simulation

Abstract: The existing human action recognition methods focus more on the translation information such as the coordinates and displacements of skeleton structure, and pay less attention to the motion trend of skeleton structure and the rotation information representing the motion direction of joints and bones. A spatio-temporal convolutional neural network method combining the rotation angle coding in spherical space is introduced. The angle information with scale invariance is obtained by mapping the human action in three-dimensional spherical space, and the dynamic angular velocity information is extracted as the angle code to represent the rotation information of joints and bones in …

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Design Of Real-Time Simulation & Test Software Based On Windows/Rtx, Yongbo Li, Runmei Tian, Hui Zhang, Shanpeng Guo, Qi Li Jun 2024

Design Of Real-Time Simulation & Test Software Based On Windows/Rtx, Yongbo Li, Runmei Tian, Hui Zhang, Shanpeng Guo, Qi Li

Journal of System Simulation

Abstract: Aiming at the limited real-time performance of traditional test software and the low generality of traditional simulation interface software, a real-time simulation software based on Windows/RTX is designed to meet the requirements of unit testing and control system simulation verification of semiphysical simulation software. Through modular design, GUI layer human-computer interface and RTX layer real-time operation program are developed. To ensure the real-time, the lock-free cyclic buffer plus dual-threading technology is used to solve the timeout problem of serial data transmission and reception when the simulation step size is 1 ms under RTX environment. A timeout detection algorithm is …

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Cooperative Ant Colony Algorithm Combining Evaluation Reward And Punishment Mechanism And Neighborhood Dynamic Degradation, Yujie Wang, Xiaoming You, Sheng Liu Jun 2024

Cooperative Ant Colony Algorithm Combining Evaluation Reward And Punishment Mechanism And Neighborhood Dynamic Degradation, Yujie Wang, Xiaoming You, Sheng Liu

Journal of System Simulation

Abstract: To address the slow convergence and the tendency to fall into local optimality in solving TSP, a cooperative ant colony algorithm combining evaluation reward and punishment mechanism and neighborhood dynamic degradation (ENCACO) is proposed. The paths are classified into active and abandon paths according to the path evaluation value, and with the path evaluation value as the weight, the different pheromone reward and punishment strategies are adopted for the two types of paths to accelerate the convergence speed of the algorithm. Through the neighborhood dynamic degradation strategy, and the neighborhood radius is used to divide the set of cities …

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Construction Of A Virtual Interactive System For Orchards Based On Digital Twin, Hongjun Wang, Junqiang Lin, Xiangjun Zou, Po Zhang, Mingxuan Zhou, Weirui Zou, Yunchao Tang, Lufeng Luo Jun 2024

Construction Of A Virtual Interactive System For Orchards Based On Digital Twin, Hongjun Wang, Junqiang Lin, Xiangjun Zou, Po Zhang, Mingxuan Zhou, Weirui Zou, Yunchao Tang, Lufeng Luo

Journal of System Simulation

Abstract: Aiming at the low visibility, poor real-time, weak adaptability and single interaction mode in orchard planting management system, a six-dimensional model of orchard digital twin system for planting management process is proposed. The system model construction theory and technology system is discussed from four aspects, entity modeling of management elements, dynamic modeling of management process, simulation modeling of management system and optimization modeling of management strategy. Based on the six-dimensional model, supported by the theory and technology system, the virtual interactive system architecture of the orchard based on the digital twin is designed, and the key technologies of the …

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Black Men Who Participate In An Urban Community College Men Of Color Initiative: A Phenomenological Study, Steven Hardy Jun 2024

Black Men Who Participate In An Urban Community College Men Of Color Initiative: A Phenomenological Study, Steven Hardy

Theses and Dissertations

This phenomenological study explored the perceptions and experiences of Black men who participated in the MOCI. The study uncovered insights into what aspects of the program were effective and where improvements could be made according to the student participants. Employing a phenomenological design, the research identified commonalities among the participants' experiences (Creswell & Creswell, 2018; Moustakas, 1994; Rubin & Rubin, 2012). The structure of understanding surrounding participants in the MOCI program was meticulously facilitated using phenomenology (Creswell & Creswell, 2018). The interviews were not just semi-structured but also empathetic, with prepared open-ended questions followed by probing inquiries, all aimed at …

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Study Of Modified Salinomycin Analogs On Inhibition Of Triple Negative Breast Cancer Metastasis And Invasion, Farnaz Malekmarzban Jun 2024

Study Of Modified Salinomycin Analogs On Inhibition Of Triple Negative Breast Cancer Metastasis And Invasion, Farnaz Malekmarzban

Theses and Dissertations

Triple negative breast cancer (TNBC) is a more aggressive type of breast cancer which contains faster growth, higher metastasis rate and worse prognosis. The main challenge toward treatment of this type of cancer is being heterogeneous. Recently, Salinomycin (SAL) has been considered as a potential agent for triple negative breast cancer treatment. However, chemical modification of SAL is needed to improve SAL selectivity to cations and decrease its cytotoxicity. The purpose of this study was to evaluate the effect of chemically modified analogs of SAL on the viability, metastasis, Wnt pathway as well as angiogenesis of Triple negative breast cancer …

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Updated Catalog Of Kepler Planet Candidates: Focus On Accuracy And Orbital Periods, Jack J. Lissauer, Jason F. Rowe, Daniel Jontof-Hutter, Daniel C. Fabrycky, Eric B. Ford, Darin Ragozzine, Jason H. Steffen, Kadri M. Nizam Jun 2024

Updated Catalog Of Kepler Planet Candidates: Focus On Accuracy And Orbital Periods, Jack J. Lissauer, Jason F. Rowe, Daniel Jontof-Hutter, Daniel C. Fabrycky, Eric B. Ford, Darin Ragozzine, Jason H. Steffen, Kadri M. Nizam

Pacific Faculty Work

We present a new catalog of Kepler planet candidates that prioritizes accuracy of planetary dispositions and properties over uniformity. This catalog contains 4376 transiting planet candidates, including 1791 residing within 709 multiplanet systems, and provides the best parameters available for a large sample of Kepler planet candidates. We also provide a second set of stellar and planetary properties for transiting candidates that are uniformly derived for use in occurrence rate studies. Estimates of orbital periods have been improved, but as in previous catalogs, our tabulated values for period uncertainties do not fully account for transit timing variations (TTVs). We show …

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Advancing Influence In Social Networks Based On Game Theory, Adedamola Adesokan Jun 2024

Advancing Influence In Social Networks Based On Game Theory, Adedamola Adesokan

Electrical and Computer Engineering ETDs

Online Social Networks (OSNs) have become part of our everyday life, as a means of interacting with people, sharing content, attending events, etc. Influencers are professional OSN users, who have a large loyal audience and use the OSNs to market various goods or services based on brand partnerships. In this thesis, we introduce a novel mechanism to enable OSN users to become influencers by strategically deciding their activity within the OSN. Initially, the concepts of social coordinates and social communities are proposed. Then, a non-cooperative game is introduced to enable the users to make optimal decisions regarding their activity in …

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Strategies For Resilient Build Back In The Post-Flood Era: An Ahp-Dematel Technique, Muhammad Tahir, Mohd Fadzil Bin Mohd Idris Jun 2024

Strategies For Resilient Build Back In The Post-Flood Era: An Ahp-Dematel Technique, Muhammad Tahir, Mohd Fadzil Bin Mohd Idris

CSID Journal of Infrastructure Development

Pakistan suffered from devastating floods in 2022, causing extensive infrastructural, economic, social, and other damages. Effective risk management was notably absent in the country. Therefore, this paper identifies critical factors influencing the build-back-better (BBB) framework and resilience building. The evaluation of various strategies for risk reduction in infrastructure during floods, ensuring its resilience, is also addressed. This study employs Multi-Criteria Decision Making (MCDM) techniques, specifically the Analytic Hierarchy Process (AHP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL), to assess critical factors in BBB in the context of devastating floods. The AHP analysis effectively ranked the identified factors based on …

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Simulation Of Robotic Peg-In-Hole Assembly Strategy Based On Drl, Zilu Zhu, Yongkui Liu, Lin Zhang, Lihui Wang, Tingyu Lin Jun 2024

Simulation Of Robotic Peg-In-Hole Assembly Strategy Based On Drl, Zilu Zhu, Yongkui Liu, Lin Zhang, Lihui Wang, Tingyu Lin

Journal of System Simulation

Abstract: Aiming at the existing peg-in-hole assembly method problems of dependence on accurate contact state models, difficulties in data acquisition, low sampling efficiency, and poor security, a simulation research method for robot peg-in-hole assembly strategy based on DRL is proposed. A simulation environment of robot peg-in-hole assembly based on ROS-Gazebo is built, and a method of gravity compensation for force/torque sensor based on a least square method is proposed. The reinforcement learning paradigm is employed to model the robot peg-in-hole assembly, and a method based on soft actor-critic(SAC) algorithm is proposed. The communication mechanism between the simulation environment and the …

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Manufacturing Of Aligned Electrospun Nanofiber Yarns For Their Enhanced Mechanical And Piezoelectric Properties, Adaugo Mary-Frances Enuka Jun 2024

Manufacturing Of Aligned Electrospun Nanofiber Yarns For Their Enhanced Mechanical And Piezoelectric Properties, Adaugo Mary-Frances Enuka

Theses and Dissertations

Electrospinning is a widely used technique for producing nanofibers with diverse applications. This method uses polymer solutions and strong electric fields to generate nano-sized fibers with unique properties. This study presents a novel manufacturing approach that enables the production of electrospun poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) nanofiber yarns using an automated parallel track system and an adjustable roll-to-roll collector. This research examines the impact of an automated post-drawing system on the polymer chain orientation, crystallinity, tensile strength, morphology, and piezoelectric properties of PVDF-HFP nanofiber yarn. The results reveal that the post-drawing process significantly improves molecular alignment, increases tensile strength, and enhances the …

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The Fate Of Fixed Nitrogen In Santa Barbara Basin Sediments During Seasonal Anoxia, Xuefeng Peng, David J. Yousavich, Annie Bourbonnais, Frank Wenzhöfer, Felix Janssen, Tina Treude, David L. Valentine Jun 2024

The Fate Of Fixed Nitrogen In Santa Barbara Basin Sediments During Seasonal Anoxia, Xuefeng Peng, David J. Yousavich, Annie Bourbonnais, Frank Wenzhöfer, Felix Janssen, Tina Treude, David L. Valentine

Faculty Publications

Despite long-standing interest in the biogeochemistry of the Santa Barbara Basin (SBB), there are no direct rate measurements of different nitrogen transformation processes. We investigated benthic nitrogen cycling using in situ incubations with 15NO 3̅  addition and quantified the rates of total nitrate (NO 3̅) uptake, denitrification, anaerobic ammonia oxidation (anammox), N2O production, and dissimilatory nitrate reduction to ammonia (DNRA). Denitrification was the dominant NO 3̅ reduction process, while anammox contributed 0 %–27 % to total NO 3̅ reduction. DNRA accounted for less than half of NO 3̅ reduction except at the …

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Considerations For Quality Control Monitoring Of Machine Learning Models In Clinical Practice, Louis Faust, Patrick Wilson, Shusaku Asai, Sunyang Fu, Hongfang Liu, Xiaoyang Ruan, Curt Storlie Jun 2024

Considerations For Quality Control Monitoring Of Machine Learning Models In Clinical Practice, Louis Faust, Patrick Wilson, Shusaku Asai, Sunyang Fu, Hongfang Liu, Xiaoyang Ruan, Curt Storlie

Faculty, Staff and Student Publications

Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over time. While existing literature offers valuable strategies for detecting declining model performance, there is a need to document the broader challenges and solutions associated with the real-world development and integration of model monitoring solutions. This work details the development and use of a platform for monitoring the performance of a production-level ML model operating in Mayo Clinic. In this paper, we aimed to provide a series of considerations and guidelines necessary for integrating such a platform into a team's technical infrastructure and workflow. We …

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The Effect Of A Contextualized Dosage Calculation Learning Intervention On Pre-Nursing Students' Math Self-Efficacy And Ability To Pass High Stakes Dosage Calculation Examination On First Attempt, Eileen V. Weatherby Jun 2024

The Effect Of A Contextualized Dosage Calculation Learning Intervention On Pre-Nursing Students' Math Self-Efficacy And Ability To Pass High Stakes Dosage Calculation Examination On First Attempt, Eileen V. Weatherby

Dissertations

Many students in pre-licensure nursing programs struggle with calculating accurate medication dosages even though they meet the numeracy requirements for application to the nursing programs. Most pre-licensure programs require that nursing students pass dosage calculation exams at a specified level of accuracy before progressing to the next term. Students typically have three tries to pass at the specified level and should they not succeed, they must withdraw. If they wish to continue in the program, they must complete the requirements for reentry which may include space availability restrictions. Factors influencing dosage calculation performance include fear of mathematics, low math self-efficacy, …

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Monitoring Water Meniscus Formation At Nanocontacts With Shear-Force Acousto Near-Field Microscopy, Xiaohua Wang, Rodolfo Fernandez, Theodore Brockman, Kacharat Supichayanggoon, Andres H. La Rosa Jun 2024

Monitoring Water Meniscus Formation At Nanocontacts With Shear-Force Acousto Near-Field Microscopy, Xiaohua Wang, Rodolfo Fernandez, Theodore Brockman, Kacharat Supichayanggoon, Andres H. La Rosa

Physics Faculty Publications and Presentations

Shear-force acoustic near-field microscopy (SANM) is employed to monitor stochastic formation and post dynamic response of a water meniscus that bridges a tapered gold probe (undergoing lateral oscillations of a few nanometers amplitude at constant frequency) and a flat (gold or silicon oxide) substrate. As the probe further approaches the substrate, its amplitude decreases. Shear forces (of yet unknown precise origin) are typically invoked to explain the apparently pure damping effects affecting the probe's motion. Herein, SANM measurements underscore instead the role of near-field acoustic emission from the water meniscus as an elastic energy dissipation channel involved in shear interactions. …

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Matrix Processing With Photonic Analog Computing, James Michael Garofolo Jun 2024

Matrix Processing With Photonic Analog Computing, James Michael Garofolo

Theses and Dissertations

In the digital age, a wide variety of engineering problems have been solved, to a great deal of success, by digital computing techniques. The flexibility of software and relatively low cost of digital computing hardware make it an ideal starting point for solving a majority of tasks, and the numerical stability of software solutions make it highly appealing as the major workhorse for computational tasks. Despite this, many problems are actually suboptimally solved by digital methods, leading to systems with high latency, low throughput, power hungry parallel processing units and an excess of memory for discretizing sensor inputs. Computational photonic …

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Analysis Of The Pid Controller Parameters For A Surface Mobility Platform Mobile Robot, Lwin Ma Ma Maung, Aung Myat San, Wai Mar Myint, Wut Yi Win, Min Thu Soe Jun 2024

Analysis Of The Pid Controller Parameters For A Surface Mobility Platform Mobile Robot, Lwin Ma Ma Maung, Aung Myat San, Wai Mar Myint, Wut Yi Win, Min Thu Soe

Platform: A Journal of Engineering (PAJE)

Surface mobility control is a fundamental challenge in robotics, and its applications range from autonomous vehicles to industrial automation. The main aim of the paper is to analyse the PID controller parameters for the speed control of a surface mobility platform mobile robot. MATLAB simulation toolbox and mathematical model of the DC motor are used to find the optimal PID controller parameters to complete the DC motor speed control system. For the SMP motion control system, the mobile robot kinematic model is supported as a differential drive system. In this paper, the PID controller parameters for the DC motor control …

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Dynamic Air Defense Resource Allocation Optimization Based On Improved Differential Evolution Algorithm, Tianyu Luo, Lining Xing, Rui Wang, Ling Wang, Jianmai Shi, Xin Sun Jun 2024

Dynamic Air Defense Resource Allocation Optimization Based On Improved Differential Evolution Algorithm, Tianyu Luo, Lining Xing, Rui Wang, Ling Wang, Jianmai Shi, Xin Sun

Journal of System Simulation

Abstract: Based on the integrated performance of weapon equipments such as radars, launchers and missiles, a mixed-integer decision model that minimizes the total target intercept value and the probability of survival based on Target-Set, Resource-Set is developed. A new improved differential evolutionary algorithm has been introduced to solve the problem, and the initial solutions is generated by using the reverse learning strategies to ensure the quality of the initial populations. An inspiration rule for the fast repair and reconstruction is designed to work at multi-stage to improve the search capability of the algorithm. The simulation experiment results show the algorithm's …

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