We present a Virtual Reality application that immersively visualizes nighttime skyglow and its sources of light pollution. Utilizing Unity with Cesium and OpenStreetMap geospatial data, the system integrates calibrate...
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The adoption of Decision Support Systems (DSS) by farmers faces significant challenges, including the need for user-friendly interfaces, comprehensive training, reliable support, and affordable pricing. Addressing the...
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ISBN:
(纸本)9798331506520
The adoption of Decision Support Systems (DSS) by farmers faces significant challenges, including the need for user-friendly interfaces, comprehensive training, reliable support, and affordable pricing. Addressing these challenges is critical to advancing sustainable agriculture and meeting global food production demands. This paper introduces an advanced DSS tailored for aquaponics, leveraging cutting-edge technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain. These technologies are integrated into the DSS to optimize resource management, ensure cybersecurity, and simplify complex processes through an intuitive interface. Real-time data is presented in an accessible format, enabling farmers of all skill levels to adopt the system with ease. The DSS features AI-driven robotic traps with 75% accuracy in real-time insect detection, autonomous robots achieving 94% precision in 3D spot spraying, and nutrient analyzers with over 92% accuracy in monitoring critical levels. A blockchain layer ensures secure data verification, traceability, and distributed AI model verification. Advanced hierarchical clustering algorithms analyze pest and nutrient dynamics, providing actionable insights for farm management. The system emphasizes interoperability and scalability, supporting seamless integration with various aquaponic setups. Field evaluations demonstrate the DSS's capacity to reduce pesticide use by 50%, enhance crop yields, and lower sample analysis costs by 70%, highlighting its efficiency and sustainability. Data visualization latency remains below 430ms, enabling real-time responsiveness, while predictive models achieve 91% accuracy in forecasting pest population trends. These results solidify the DSS's role as a transformative tool in precision agriculture. By improving productivity, plant health, and the utilization of biopesticides and biofertilizers, this work bridges the gap between theoretical models and real-world applicat
City-scale spatial digital twins require extensive spatial information, such as city-scale point clouds, to remain updated. This study develops a 3D mobile crowdsensing system in which participants collect 3D point cl...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
City-scale spatial digital twins require extensive spatial information, such as city-scale point clouds, to remain updated. This study develops a 3D mobile crowdsensing system in which participants collect 3D point cloud data of urban spaces using LiDAR-equipped mobile devices. This system aggregates the collected partial point clouds on a server to merge them into the city digital twin. In such environments, city-scale point clouds are expected to support various smart city tasks. Therefore, diverse types of visualization are necessary for analysis and validation, including task examination, real-time system behavior verification, and crowdsensing system tracking. In this paper, we present a web-based, real-time point cloud visualization mechanism designed to offer tailored views for different use cases.
This study presents a method for visualizing the flow fields around multiple drones intended for gas leak detection in disaster areas, using intermittently generated smoke and image processing. As a preliminary step b...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
This study presents a method for visualizing the flow fields around multiple drones intended for gas leak detection in disaster areas, using intermittently generated smoke and image processing. As a preliminary step before conducting experiments with multiple drones, we focused on enhancing visualization performance. An experimental setup was constructed to conduct visualization experiments indoors. This setup is installed in a dark room, where a smoke generator is connected to a duct to create the flow path. Smoke is generated intermittently from the smoke device, and the cross-section of the flow path is extracted using a sheet laser. A transparent panel separates the interior and exterior of the duct, allowing for external image capture with a camera. Optical flow image processing is applied to the captured images, achieving visualization of the entire flow path.
A prevalent health issue that necessitates prompt and precise diagnosis-often with X-ray imaging-is bone fractures. Conventional fracture identification techniques depend on radiologists' manual analysis, which ca...
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Integrating Autonomous Vehicles (AVs) into daily life requires a fundamental shift in user trust and acceptance. Previous studies show that Augmented Reality (AR) visualization can improve trust in AVs. However, those...
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This paper combines computer graphics and building information modeling (BIM) technology to propose an innovative three-dimensional visualization optimization algorithm for water conservancy buildings. The algorithm c...
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ISBN:
(数字)9798350389579
ISBN:
(纸本)9798350389586
This paper combines computer graphics and building information modeling (BIM) technology to propose an innovative three-dimensional visualization optimization algorithm for water conservancy buildings. The algorithm combines BIM data with efficient rendering technology in graphics, and proposes a method based on multi-level model generation and detail processing optimization to improve the rendering speed and accuracy of three-dimensional models. In the experimental part, a BIM model of a large water conservancy project was used for testing. The results show that compared with the traditional rendering method, the algorithm has improved the rendering accuracy by 18.5% and the rendering speed by 30%. In practical applications, this algorithm can effectively reduce the rendering time while ensuring the details and accuracy of the model, providing more accurate and efficient visualization support for water conservancy construction projects. In addition, the visualization effect is displayed through a virtual reality platform, which further verifies the superior performance of the algorithm in a virtual reality environment. The results of this study show that the innovative algorithm based on BIM and computer graphics cannot only improve the design and construction efficiency of water conservancy buildings, but also optimize the engineering management process, and has strong application value and promotion prospects.
The 'Human-Centered Intelligent Realities' (HINTS) laboratory is a strategic infrastructure project aiming to support research that advances the development of immersive, user-aware, and intelligent digital en...
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Agility ladder training is used by athletes and in rehabilitation to improve coordination and motor skills. Research highlights the potential of visual feedback in virtual reality (VR) to enhance agility ladder traini...
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