computer simulation is the modelling of an actual or hypothetical structure, the execution of this model on a computer, and the analysis of the execution output. simulation is essential in modelling that involves many...
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computer simulation is the modelling of an actual or hypothetical structure, the execution of this model on a computer, and the analysis of the execution output. simulation is essential in modelling that involves many variables and interacting elements, nonlinear variables relationships, random variates, and visual outputs such as a 3D computer animation. simulation is elucidated by an example of a system with closed-form analysis.
When teaching robotics, instructors face the challenge of finding an effective approach to bridge theoretical concepts and practical applications. Both computer simulations and hands-on laboratory experiments provide ...
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When teaching robotics, instructors face the challenge of finding an effective approach to bridge theoretical concepts and practical applications. Both computer simulations and hands-on laboratory experiments provide learners with opportunities for active, immersive, and experiential learning. As students progress from introductory to advanced topics and from theory to practice, their performance is contingent upon earlier knowledge and may increase, remain unchanged, or decrease. The question that arises is whether computer simulation can serve as a viable foundation for fostering an understanding of theory that enables the subsequent grasp of advanced practical concepts in robotics. Put another way, when students are introduced to the field of robotics through computer simulation, how will they perform when presented with advanced hands-on tasks involving the construction of physical robots to solve problems in physical space? To answer this question, we examined undergraduate student performance (n = 107) across two robotics courses-an introductory course using computer simulation (Robot Operating System, Rviz, and GAZEBO) and an advanced course using physical hardware (Puzzlebot), leveraging the hardware's capability for AI tasks such as machine vision (Nvidia Jetson Nano development kit). Our findings suggest that student performance increased as they progressed from using computer simulation to engaging with hardware in the physical environment, further suggesting that teaching with computer simulations provides an adequate foundation to learn and complete more advanced tasks.
Predictive modeling of dielectric heating in porous foods is challenging due to their nature as multiphase materials. To explore the relationship between the topological structure of multiphase foods and the accuracy ...
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Predictive modeling of dielectric heating in porous foods is challenging due to their nature as multiphase materials. To explore the relationship between the topological structure of multiphase foods and the accuracy of dielectric mixture models, the degree of anisotropy of two cooked rice samples with 26 and 32 % porosity was determined, and their dielectric properties were estimated using the Lichtenecker (LK), Landau-LifshitzLooyenga (LLL), and Complex Refractive Index Mixture (CRIM) equations. These properties were used in a predictive finite-element model for reheating an apparent homogeneous rice sample on a flatbed microwave (MW) for 120 s. The results were compared with experimental data and a validated two-element model. Unlike LK and LLL equations, the CRIM equation predicted heat accumulation towards the edges of the container at the two values of porosity ratio evaluated, in accordance with the experimental results and the isotropic nature of the sample. The simulated temperature distributions suggest that the three evaluated equations could predict the MW heating behavior of rice to some extent, but that in order to obtain more accurate results, it could be useful to obtain an empirical topology-related parameter specific for this sample. These results can provide insight on the relationship between the topology of the porous structure in the sample and the adequacy of different dielectric mixture models.
computer simulation of the net-shaped casting process is considered in some detail, with a focus on sand cast aluminum alloys. Some suggestions are made for best use of this tool. Examples of simulations and how they ...
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computer simulation of the net-shaped casting process is considered in some detail, with a focus on sand cast aluminum alloys. Some suggestions are made for best use of this tool. Examples of simulations and how they may be used to improve mold design and casting quality are given.
Quercetin, hyperoside, isoquercitrin, quercetin-7-O-glucoside, rutin and quercetin-3-O-sophoroside are six flavonoids with quercetin as the parent nucleus. CYP3A4 is an important metabolic enzyme in human body. In thi...
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Quercetin, hyperoside, isoquercitrin, quercetin-7-O-glucoside, rutin and quercetin-3-O-sophoroside are six flavonoids with quercetin as the parent nucleus. CYP3A4 is an important metabolic enzyme in human body. In this research, structural interaction of six flavonoids and CYP3A4 was explored by multispectral and computer simulation techniques. CYP3A4 was statically quenched by six flavonoids. Flavonoid structure glycosylation decreased the affinity of flavonoid to CYP3A4. Quercetin had the strongest binding capacity with CYP3A4 because it was unglycosylated, followed by hyperoside, isoquercitrin, quercetin-7-O-glucoside, rutin and quercetin-3-O-sophoroside. The stability of the complexes formed by six flavonoids with CYP3A4 decreased with the increase of temperature. The amino acid microenvironment and secondary structure of CYP3A4 were obviously changed by six flavonoids. The optimal binding modes of CYP3A4 with six flavonoids were selected based on the highest conformations with the lowest energy. The six flavonoids were docked in the active site center of CYP3A4 chiefly by means of hydrogen bond and van der Waals force. Stability assessment of six complexes was done by dynamics simulation.
In order to monitor and analyze the state of the body during movement more effectively, an infrared thermal radiation image acquisition system based on computer simulation was developed. A simulation model containing ...
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In order to monitor and analyze the state of the body during movement more effectively, an infrared thermal radiation image acquisition system based on computer simulation was developed. A simulation model containing the thermodynamic characteristics of the human body was constructed, which could simulate the change of body temperature under different movement intensity and environmental conditions. A high precision infrared thermal imager is used to collect infrared thermal radiation images in simulated motion state. The infrared thermal radiation images are preprocessed by image processing techniques such as filtering, enhancement and edge detection. Then, the image features are extracted by machine learning algorithm, and the correlation model between body temperature distribution and motion state is established. In the actual sports fitness scene, the developed system is used to monitor the athletes in real time, and compared with the traditional monitoring means to verify the accuracy and practicability of the system. The experimental results show that the developed system can accurately reflect the body temperature changes under different exercise intensities, and has higher real-time and accuracy than the traditional monitoring means. The system can also predict the fatigue state and the potential risk of sports injury, which provides important reference information for sports fitness.
With the continuous progress of science and technology, the traditional training methods in the field of muscle posture adjustment training can not fully meet the needs of athletes and coaches. In order to improve tra...
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With the continuous progress of science and technology, the traditional training methods in the field of muscle posture adjustment training can not fully meet the needs of athletes and coaches. In order to improve training efficiency and accuracy, this study aims to explore how to combine computer simulation technology and virtual reality technology with infrared thermal image to develop a system that can help athletes and coaches to train more intuitively and accurately. A computer simulation platform was constructed to simulate different motion scenarios and muscle activities. A set of infrared thermal energy image acquisition system is developed, which can capture the changes of thermal energy generated by muscles in the process of movement in real time, and convert these data into visual images. These images are then combined with virtual reality technology to create an interactive training environment. In this environment, athletes can see thermal images of their muscle activity in real time and adjust their movement posture based on the image feedback. The experimental results show that by using a training system based on computer simulation of infrared thermal energy images combined with virtual reality technology, athletes can more intuitively understand their own muscle activity during exercise. Infrared thermal images clearly show the heat distribution and changes of different muscle groups during exercise, helping athletes to identify which muscle groups are overstressed or understressed during exercise. The system not only improves the visualization of sports training, but also helps athletes adjust muscle posture more effectively through real-time feedback.
In recent years, with the development of social economy and the innovation of science and technology, the street landscape environment design based on visual technology and entertainment robot has been widely concerne...
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In recent years, with the development of social economy and the innovation of science and technology, the street landscape environment design based on visual technology and entertainment robot has been widely concerned. This paper aims to explore how to use computer simulation and gamification design methods to enhance the entertainment and attractiveness of street landscapes. In this paper, the basic principles of computer vision and V2X vehicle networking are deeply studied, and a series of simulation experiments and data analysis are carried out in combination with actual scenarios to verify the feasibility and effectiveness of V2X vehicle networking mode based on computer vision in urban street landscape design. V2X vehicle networking mode through realtime information exchange with road infrastructure, other vehicles, pedestrians, etc., can obtain a large number of urban streetscape design related data. Studies have shown that this design approach can increase people's interest and engagement in street landscapes, and increase the entertainment experience and sense of interaction of urban residents.
Allure Red (AR) is a standard food-grade azo pigment and is used in meat products, but the mode of action between allure red and meat-derived proteins is rarely reported. This paper selected two essential proteins in ...
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Allure Red (AR) is a standard food-grade azo pigment and is used in meat products, but the mode of action between allure red and meat-derived proteins is rarely reported. This paper selected two essential proteins in meat, hemoglobin (Hb) and myoglobin (Mb), as protein models to investigate their binding mechanisms with AR. The binding mechanism of AR to Hb/Mb and its conformational changes were investigated using multispectral and computer simulation experiments. The results show that the AR-Hb/Mb system is promoted to bind by hydrogen bonding and van der Waals force;the two systems have a static quenching mechanism at a single binding site. The binding constants (Ka) of the AR-Hb/Mb system are 2.59 x 10-4 L/mol and 1.05 x 10-4 L/mol at 277 K. The addition of AR has less effect on the secondary structure of Hb/Mb;the two systems still maintained the structure dominated by alpha-helix. computer simulations also showed that the protein system remains stable with the addition of AR, but the Solvent Accessible Surface Area (SASA) increased;the trend was small and did not affect the overall stability of the protein. The study's results help provide theoretical references for the application of AR in related meat products.
The study evaluates how smart nanoparticles affect beam structural performance while using computational resources hosted on remote servers. An enhanced advanced adaptive harmony search algorithm (AAHS) serves to boos...
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The study evaluates how smart nanoparticles affect beam structural performance while using computational resources hosted on remote servers. An enhanced advanced adaptive harmony search algorithm (AAHS) serves to boost optimization efficiency levels. The algorithm makes two sequential parameter adjustment stages which start by adapting harmony memory through variable bandwidth methods and proceed with adaptive step-size implementations. The research investigates the best design parameters for ZnO nanoparticle reinforced nanocomposite sinusoidal beams under different axial force and foundation property conditions and applied voltage levels. Results show that the proposed AAHS method outperforms alternative optimization methods according to comparative research. Under 50 GPa buckling force and 100 V applied voltage the optimal beam should have L/h ratio of 4.425 together with 118 GPa foundation spring constant, 29 Pa shearing constant and 0.055 ZnO nanoparticle volume fraction. The study demonstrates that all three factors namely applied voltage, buckling force and foundation stiffness critically affect optimization of beams.
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