Substantial non-persistent fractures remarkably influence the stability analysis of rock slopes. However, their full consideration and three-dimensional (3D) analysis is often lacking. This study focuses on a fracture...
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Substantial non-persistent fractures remarkably influence the stability analysis of rock slopes. However, their full consideration and three-dimensional (3D) analysis is often lacking. This study focuses on a fractured rock slope in Changdu City, Tibet Autonomous Region, China, and utilises unmanned aerial vehicle (UAV) multiangle nap-ofthe-object photogrammetry to conduct a preliminary field survey of the high and steep slopes. This photogrammetry method greatly enhances image quality in complex terrain, enabling better interpretation of fractures, especially those with tiny apertures. Leveraging high-resolution slope images, a 3D discrete fracture network model is constructed. Subsequently, a geometric search method is proposed to obtain 3D critical slip surfaces. The challenges lie in identifying a 3D slip surface with minimum shear strength whilst considering substantial fractures with varying orientations. This study ingeniously applies graphtheory to simplify this issue, fully considering the spatial features of highly disordered 3D fractures, and effectively managing the computational complexity associated with numerous fractures. This ensures the efficient determination of 3D slip surfaces with minimum shear strength. The proposed methodology is expected to enhance the accuracy and comprehensiveness of 3D stability analysis for complex fractured rock slopes.
The most important task for maze solving robots is the fast and reliable finding of its shortest path from its initial point to its final destination point. This paper proposes an intelligent maze solving robot that c...
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ISBN:
(纸本)9781538622698
The most important task for maze solving robots is the fast and reliable finding of its shortest path from its initial point to its final destination point. This paper proposes an intelligent maze solving robot that can determine its shortest path on a line maze based on image processing and artificial intelligence algorithms. The image of the line maze is captured by a camera and sent to the computer to be analyzed and processed by a program developed using Visual C++ and OpenCV libraries and based on graph theory algorithms. The developed program solves the captured maze by examining all possible paths exist in the maze that could convey the robot to the required destination point. After that, the best shortest path is determined and then the instructions that guide the car-like robot to reach its desired destination point are sent to the robot through Bluetooth. The robot follows the received guide path to reach its destination. The proposed approach works faster than the traditional methods which push the robot to move through the maze cell by cell in order to find its destination point. Moreover, the proposed method allows the maze solving robot to avoid trapping and falling in infinity loops. Applications of maze solving systems include intelligent traffic control that helps ambulances, fire fighters, or rescuing robots to find their shortest path to their destination.
An intelligent verification platform based on a structured analysis model is *** an abstract model mechanism with specific signal interfaces for user callback,the unified structured analysis data,shared by the electro...
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An intelligent verification platform based on a structured analysis model is *** an abstract model mechanism with specific signal interfaces for user callback,the unified structured analysis data,shared by the electronic system level design,functional verification,and performance evaluation,enables efficient management review,auto-generation of code,and modeling in the transaction *** introduce the class tree,flow parameter diagram,structured flow chart,and event-driven finite state machine as structured analysis *** a sand table to carry maps from different perspectives and levels via an engine,this highly reusable platform provides the mapping topology to search for unintended consequences and the graphtheory for comprehensive coverage and smart test *** results show that the engine generates efficient test sequences,with a sharp increase in coverage for the same vector count compared with a random test.
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