computer-based collaborative office automation systems enable resource sharing and information collaboration through computer network technology, widely enhancing the efficiency of businesses and organizations. In the...
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This paper introduces a parametric design system for mortise and tenon structure based on Solid Works. Parametric design is utilized in the design of mortise and tenon structure models, and VB is used as a secondary d...
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This paper introduces an L1-regularized conformable fractional grey model (CFGM-L1) optimized using the hiking optimization algorithm (HOA). The CFGM-L1 model aims to enhance predictive accuracy by addressing the limi...
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The study explores the terrain of data analysis by delving into Data Insights Nexus, a comprehensive system at the forefront of this field. The application integrates machine learning modeling, dynamic 2D/3D visualiza...
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This paper presents a Unity engine-based digital twin intelligent decision-making system for campuses, aiming to improve campus management efficiency and student experience. The system combines shapefile information a...
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ISBN:
(纸本)9798350349184;9798350349191
This paper presents a Unity engine-based digital twin intelligent decision-making system for campuses, aiming to improve campus management efficiency and student experience. The system combines shapefile information and tilt-shot fusion technology to achieve 3D reconstruction of campus buildings and environments, creating a digital twin model. For intelligent decision-making, we simulated a virtual energy environment and applied a reinforcement learning algorithm to address real-world energy decision challenges. Concurrently, IoT technology is used to monitor campus devices and resources, including energy utilization, security, and environmental quality. The integrated data is presented through a visual and interactive interface for real-time monitoring and management of campus resources by administrators and students. This system enhances resource utilization efficiency, sustainability, and security, showcasing the practical application of digital twin technology in modernizing campus management and improving the student experience in institutions.
This article delves into the application of computer 3D vision technology in multimedia graphic design systems, aiming to explore how to improve design quality by enhancing the depth and interactivity of visual commun...
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ISBN:
(纸本)9798400716959
This article delves into the application of computer 3D vision technology in multimedia graphic design systems, aiming to explore how to improve design quality by enhancing the depth and interactivity of visual communication. By integrating advanced 3D graphics processing algorithms, this study successfully developed a highly modular design system that can achieve complex 3D model rendering, support real-time lighting effects, and provide a user-friendly interactive interface. The system adopts GPU (General Processing Unit) acceleration technology, optimizes rendering pipelines, and ensures efficient graphics rendering performance. The research results indicate that in the testing of system response, it can be found that the response time is shorter than that of the improved system, with an average response time of 0.48 seconds, while the average response time of traditional systems is 1.2 seconds. It can be seen that the system in this article operates smoothly in the UI (User Interface), and can maintain a good user experience even when dealing with complex design tasks. The results of this study not only broaden the application scope of computer 3D vision in the field of multimedia design, but also lay the foundation for subsequent research and development of related technologies.
The article presents the results of using microscopic simulation modeling to improve the operation of road infrastructure and optimize the phases of traffic light regulation on an emergency-prone section of a highway ...
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The application of computational science methods and tools in healthcare is growing rapidly. These methods support decision-making and policy development. They are commonly used in decision support systems (DSSs) used...
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ISBN:
(纸本)9783031637711;9783031637728
The application of computational science methods and tools in healthcare is growing rapidly. These methods support decision-making and policy development. They are commonly used in decision support systems (DSSs) used in many fields. This paper presents a decision support system based on the newly developed SSP-SPOTIS (Strong Sustainable Paradigm based Stable Preference Ordering Towards Ideal Solution) method. The application of the proposed DSS is demonstrated in the example of assessing healthcare systems of selected countries concerning resilience to pandemic-type crisis phenomena. The developed method considers the strong sustainability paradigm by reducing linear compensation criteria with the possibility of its modeling. The research demonstrated the usefulness, reliability, and broad analytical opportunities of DSS based on SSP-SPOTIS in evaluation procedures focused on sustainability aspects considering a strong sustainability paradigm.
On account of the wide application of the autonomous vehicle system, accurate and reliable location information is of great significance. Since the GPS and the IMU information doesn't perform well on their own res...
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ISBN:
(纸本)9798400711848
On account of the wide application of the autonomous vehicle system, accurate and reliable location information is of great significance. Since the GPS and the IMU information doesn't perform well on their own respectively, however when merging the GPS and the IMU data from the sensors, the high precision of the navigation system is achieved. While the Extended Kalman Filter is the most prevalent in fusing the data, in this paper, algorithms of machine learning, the Random Forest Regression, the Decision Tree Regression, the Multiple Linear Regression and the Extreme Gradient Boosting for instance, algorithms of neural network, the Multiple Perceptron Neural Network for instance is applied for sensor fusion. The results from the experiment demonstrate a promising direction for machine learning and neural network in application in the sensor merging field.
The article presents a sophisticated data management service architecture designed to address the intricate complexities involved in modeling harmful emissions in soil. In an era where environmental sustainability is ...
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