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    1689 research outputs found

    Simulation-based design of a robotic manipulator for automated manufacturing

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    This research presents the application of design and simulation to a robotic arm system implemented over a manufacturing unit using software support through process simulation. The robotic arm will be responsible for collecting objects from a conveyor. Training and testing methods are gaining popularity. Siemens Process Simulate Platform (SPSP) provides a photorealistic environment for robotics simulation and synthetic data generation. Siemens built SPSP, a toolkit, serving as a platform for creating metaverse applications. Several major car manufacturers use Siemens to create digital twins for their factories and train industrial robots in a virtual environment. This study explores the benefits of technology in automation and identifies major outcomes like increased efficiency, predictive maintenance, and wiser decision-making processes. In this work, several scenarios are simulated, and optimization is done in a virtual environment, showing impressive improvements that can be realized in a real-world environment

    Design and simulation of agricultural omnidirectional robot using semi-circular mecanum double wheel

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    In response to limitations faced by available omnidirectional mobile robots used for agricultural purposes, which employ a variety of wheel types such as active caster, omnidirectional, spherical, ball, and mecanum wheels, especially on rough and soft terrain, this thesis proposes the design and simulation of modified mecanum wheels, specifically semi-circular double mecanum wheel agricultural robots, to tackle the challenges of overcoming obstacles and achieving omnidirectional motion on diverse terrain with agility and precision. The chassis is designed to withstand the harsh environment, maintaining stability, durability, and robustness while ensuring strategic space utilization for the PID controller, camera, sensors, LiDAR, battery, and other components. Integrating a 6 DOF manipulator with a gripper, the robot is a multifaceted tool for various purposes, but the focus is on inspection and harvesting purposes. By taking advantage of a semicircular shape with double mecanum wheels, the aim is to enhance versatility and mobility for efficient agricultural operations by using camera, LiDAR, and image processing systems for path planning, inspection, object detection, and map generation. The ultimate goal is to enhance the capabilities of the agricultural robots by optimizing and validating. This system in ROS 2 is simulated, allowing for refinement and performance analysis

    Teacher preparedness in teaching autistic students

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    The prevalence of Autism is increasing exponentially in today's classrooms, such that general education teachers face a broad range of challenges within inclusive settings (Leech, 2008). This study investigated the degree of teacher preparedness in teaching autistic students in general education and special education classrooms by examining the literature regarding autism and teacher readiness in teaching students with Autism. The data collected in the study was sought from 10 general education and special education teachers working with autistic students from pre-kindergarten to 12th grades in rural South Texas schools. Teachers were interviewed using a primarily qualitative study design focused on teachers' points of view and experiences working with autistic students (Seidman, 2013). The teachers participating in this study were asked to respond to several semi-structured questions concerning their training to teach autistic students, their teaching of autistic students in the classroom, and their current effective practices used in teaching autistic students. The interviews revealed the teacher's perceptions of their level of preparedness for working with autistic students. The data from the interviews found six significant themes: training and staff development, attitudes and perceptions, instructional strategies, challenges and adaptations, building positive relationships, and teacher recommendations. Through the interviews and the data analysis, it was discovered that teachers' lack of understanding and training in teaching Autistic students affects the quality of education and a supportive learning environment for Autistic students. Further research is needed to examine the inclusive educational models and teacher training to create informed policies and practices to promote a more inclusive classroom learning environment for Autistic students

    Optimization of burnable poison pattern design

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    In the past, burnable poison design was rigorous and required the engineer to manually adjust the fuel location and percentages. To improve this process, this paper considered the use of MATLAB Optimization and Global Optimization Toolbox to search for the optimal burnable poison design automatically. Burnable poison is used in reactor design to make up for the excessive reactivity at the start of the cycle. (BOC). Burnable poisons, such as gadolinium, absorb neutrons and lower the thermal power around them. The design of a burnable poison pattern needs to consider multiple factors. First, the multiplication factor (keff) over the entire cycle should be around a preset value. Second, the peaking factor over the entire cycle should be as low as possible. This study only focused on UO2-Gd2O3 homogeneous poisoned fuel with 5x5 and 17x17 Westinghouse fuel lattices. Each fuel pin was UO2 mixed with any Gd2O3 concentration (0% - 4%). The 5x5 fuel lattice has 5 fuel pins in 1/8 symmetry of the lattice whose burnable poison concentration needs to be determined, while the 17x17 fuel assembly has 39 fuel pins in 1/8 symmetry of its lattice. Neutronic calculations were conducted for each fuel lattice's burnable poison design parameters using SCALE from Oak Ridge National Laboratory (ORNL) with the Neutron library 252-group ENDF/B-VII.1. A SCALE input file, representing the modeled fuel assemblies with various combinations of the UO2-Gd2O3 mixture, served as the input for the neutronic evaluations. A MATLAB script was developed and coupled with the SCALE software to calculate the effective multiplication and power peaking factors. The optimization found the best lattice pattern with keff value of 1.06275 and a power peaking value of 1.149 for the 5x5 fuel lattice, while the 17x17 showed optimal concentrations at keff value of 1.1323 and a power peaking value of 1.2804

    Bucket loaders using adjustable linkages

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    Bucket loaders are machines that are commonly employed in construction, mining or landscaping projects for loading or moving debris, soil, sand, or rock. Wheeled bucket loaders are preferred in most situations because of their high speed, efficiency and flexibility, relatively low weight and operation and maintenance costs. Tracked bucket loaders are chosen due to their high surface traction, stability and maneuverability, better performance on uneven or rough terrain, and relatively less ground impact. A payloader uses its front bucket to scoop materials that are stacked on the ground, and then either transport them to a different location or load them to a waiting transportation truck. The front bucket is pivoted to the end of the boom of the loader. The tilting motion of the bucket is generated by its corresponding hydraulic cylinder through a four-bar linkage. The boom link is connected to the chassis of the payloader using a revolute joint to lift or lower the bucket. The boom link has its driving hydraulic cylinder and its related driving linkage. The arm of a payloader consists of its bucket and boom, which moves the bucket to fulfill the payloader’s function. The position and orientation of the front bucket are determined by the joint efforts of the bucket and boom driving cylinders together with their driving linkages. The axes of the revolute joints of a payloader arm are parallel each other, which leads to a planar motion of the front bucket. The planar workspace of the front bucket is defined by the dimensions of the driving linkages and the driving strokes of the cylinders. The existing payloaders usually have fixed workspace since their driving linkages are not adjustable and driving cylinders have fixed strokes. The fixed workspace of a payloader lacks operation flexibility and limits its applications. This research incorporates adjustable linkages into payloaders to enhance their operation flexibility. The motion performances of payloaders without and with adjustable linkages are analyzed, simulated, evaluated, and compared. The results from this research are tried to provide certain guidelines for improving operation flexibility of the existing bucket loaders

    Long-term response of tanglehead (Heteropogon contortus) to prescibed burning and cattle grazing and a pilot study to estimate forage mass from unmanned aerial vehicles in a semi-arid rangeland

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    Tanglehead (Heteropogon contortus [L.] P. Beauv. ex Roem. & Shult.), an indigenous grass of South Texas has expressed invasive tendencies by creating monocultures of unpalatable vegetation, decreasing native vegetation species composition and changing structure on the landscape. Treating large patches of tanglehead with prescribed fire can remove coarse standing forage, allow lush green re-growth, change the vegetation structure, decrease tanglehead cover, and allow other species to establish. The objectives of this study were to determine the effects of prescribed fire and cattle grazing on (1) the composition of a plant community dominated by tanglehead; and (2) cattle use of tanglehead-dominated areas treated with prescribed fire. I documented the change of a tanglehead-dominated pasture that received two fire treatments (November 2016 and February 2019). Plant species richness, percent bare ground, and cattle utilization increased in the February 2019 burn plots compared to the November 2016 burn and control plots. Usable space for bobwhite quail increased with increased heterogeneity of the landscape and cattle productivity was acceptable for the parameters of the area. The use of UAVs as a method to estimate forage mass in rangelands is a developing science and will be presented as a pilot site. The specific objectives of this research were to (1) evaluate the feasibility of quantifying forage mass in semi-arid rangelands using a double sampling technique with high-resolution imagery and (2) to compare the effect of UAV flight altitude on forage mass estimation. Orthoimagery and digital surface models (DSM) were acquired with an UAV at different altitudes. Field forage mass data were regressed on volumes obtained from a DSM. My results show that volumes estimated with UAV data and forage mass as measured in the field have a significant relationship at all flight altitudes

    Development of a resilient framework for integrated energy and water infrastructure decision making in underserved Texas Gulf Coast communities

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    The surge of extreme weather events leading to disasters in coastal energy and water systems continues to highlight infrastructural interdependencies that require long-term resilience planning at the community level. Climate related disruptions in water utilities coupled with the power grid shift towards distributed energy resources and renewables present emerging risks in unfamiliar climate change scenarios. This study identifies climate related systemic threats to energy and water resources at the community scale and maps out a three-prong pathway for mitigation: a) by developing a conceptual model and formulating quantitative resilience metrics to measure historic conditions; b) by identifying priorities for equitable coastal infrastructure resilience and formulating key indicators to qualify existing and future resilience; and c) by introducing the watergy approach to initializing a dynamic climate resilience evaluation tool to assess socioeconomic and environmental choices for long-term resource allocation. Findings from this study establishes that quantitative resilience metrics such as robustness, redundancy and rapidity is crucial for identifying system thresholds and a 2OF deviation in weather forecasting may rapidly transform system state from emergency to catastrophe through a combination or one of four disruption pathways. Findings also showed that an integrated long term planning for energy and water infrastructure optimizes resilience and present a 90% return on investment as against a less than 60% return for an independent water plan and a less than a 55% return for an independent energy plan when a 50% threat likelihood is considered. Lastly, this study peers into the uneven burden of climate-based disruptions and the amplifying effect of siloed infrastructural planning in underserved coastal communities. A qualitative water and energy assessment in two coastal communities indicates that an increased frequency of disruption events results in a continuous downgraded resilience state which may affect a communities’ perception of normalcy and exacerbate the adverse effect of natural disasters on vulnerable subgroups. This baseline shift and a low expectation of optimal system resilience may in time reduce the eagerness required to drive policies that would effect real change

    Groundwater modeling of Kingsville Dome in-situ recovery (ISR) mine by Uranium Resources, Inc (URI)

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    Groundwater availability models provide scenarios of future conditions and can help local communities and water resource managers make decisions to protect the availability of clean water resources as needed. The area of interest in this study is the Kingsville Dome uranium mining site by Uranium Resources, Inc (URI) located in Kleberg County, South Texas about 35 miles southwest of the City of Corpus Christi. It has operated intermittently from 1988 to 2009. It has since been placed on standby due to insufficient uranium resources from the facility to warrant startup of operations again. The site has utilized the Evangeline Aquifer for its mining operations. In the event operations were to resume, this could potentially affect the aquifer due to the nature of in-situ recovery mining operations. The objective is to perform a hydraulic study using field data to create a new groundwater model using MODFLOW simulation software. The model can be used to investigate possible containment scenarios for hydraulic site control, whether it is site remediation or resumed in-situ recovery operations. To fit the data to a model requires obtaining field data from nearby wells. The hydraulic model can be used to identify a suitable injection and extraction well network and the pumping rates required that will achieve hydraulic control and prevent the spread of any possible chemical constituents left behind as a result of uranium mining operations

    Bobcat use of restored and managed tracts in Southern Texas

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    Southern Texas rangelands are heavily managed for the benefit of game species and livestock management, which represent significant financial revenue to landowners. Regular clearance of woody vegetation communities and the creation of alternating brush strips is required to facilitate landscape optimization, which creates systematic fragmentation. Bobcats (Lynx rufus) are an ambush carnivore that rely on woody cover for resource use; however, there has been no assessment of how brush management impacts bobcats and other sympatric carnivores. The objectives of this thesis project were: 1) assess factors that drive bobcat habitat selection across multiple scales, 2) examine the role of landscape structure and thermal variability on carnivore community dynamics in brush managed landscapes. Each study occurred on the Hixon Ranch in La Salle County from May 2021 to May 2022. For the first study, I collared bobcats and monitored their movements with satellite GPS collars I classified the study area using remote sensing techniques into different land cover types to assess if bobcats were selecting for locations nonrandomly. I also tested to identify the scale of effect for bobcat habitat selection. For the second study, I deployed camera traps paired with thermal data loggers systematically across the study area to understand landscape and thermal variables that influence occupancy and activity of the carnivore community. The first study revealed that landscape configuration does impact bobcat habitat selection and perception of the landscape. In the second study, I observed landscape structure and thermal metrics influenced bobcats, striped skunks, coyotes, and raccoons differently. Carnivore communities in southern Texas exhibit differed responses to landscape configuration and micro-climate thermal conditions, which likely allows for co-occurrence within this large guild. Collectively these projects help scientists and managers understand the role of brush management on habitat selection of bobcats, and occurrence of sympatric carnivores across southern Texas rangelands

    A study of impact and effectiveness of the construction of the highway service areas in Texas

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    The United States is a country on wheels, which connects various centers such as economic, political, cultural, community, and commercial ones by highway. The total mileage of American’s traveling on the highway every year is up to 4 trillion kilometer, more than 91% of which is from private car. With no doubt, there is a huge commercial opportunity in this industry. Service area plays a very important role in ensuring traffic safety, improving the economic benefits of highway and landscaping as an essential equipment of highway and a major service method. Based on the above, how to enhance service area’s effectiveness matters a lot in highway development, even the entire transporting system. This thesis focuses on the site selection, function configuration, parking lots design, and barrier-free and ecological design principles of rest area in Texas. Through comparative study and analysis, some suggestions were addressed herein for reference

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