Typhoid fever is a significant infectious disease that poses a threat to public health, particularly in areas with inadequate sanitation and limited access to clean water. Prompt and accurate diagnosis of typhoid feve...
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In this paper, we present two interconnected security methodologies for enhancing database and web application protection. The first method focuses on safeguarding sensitive data, including identity information, passw...
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This paper proposes a reinforcement learning based motion control system for ROV underwater robots. In the past, the control system of ROV underwater robots often relied on pre-set path planning and control algorithms...
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Urban rail transit is an important mode of public transportation in many large and medium-sized cities. The urban rail transit station is a closed space and the passenger flow in the station is often large, once an em...
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Accurate software profiling is an essential step in the development of embedded systems. The accuracy of profiling data collected is critically important for embedded systems that operate under fixed timing constraint...
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ISBN:
(纸本)9783031661457;9783031661464
Accurate software profiling is an essential step in the development of embedded systems. The accuracy of profiling data collected is critically important for embedded systems that operate under fixed timing constraints, which if not met, could lead to system failure. Existing profiling solutions targeting embedded systems introduce an overhead to the running application that distorts the collected profiling data. This paper proposes AccProf for system on Chips with integrated FPGAs. AccProf is a FPGA-assisted profiling framework combining compiler extensions and bespoke hardware. AccProf is composed of (1) an LLVM pass which inserts lightweight instrumentation into the application binary running on general purpose processors, and (2) FPGA-based hardware capable of performing offloaded profiling. Offloading part of the profiling task, and supporting data-structures to the FPGA, reduces pollution of the collected profiling data leading to higher accuracy. This paper addresses on control graph profiling and evaluates AccProf on a range of benchmarks ported to SeL4 microkernel running on the AMD Zynq MpSoC. We measure performance metrics of these benchmarks across a range of processor statistics including cycles, instruction and data cache misses. We show that the impact for certain metrics is reduced for up to 5x when compared against an equivalent software-based framework.
Cold storage is crucial for the economy of Bangladesh, as it plays a vital role in the preservation of perishable products for extended periods. However, most cold storage facilities in Bangladesh are controlled manua...
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Agriculture plays a crucial role in safeguarding food security and economic stability, especially in countries where a significant population relies on farming. However, traditional farming practices are often marred ...
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This paper introduces a human body three-dimensional mesh extraction strategy based on Neural Radiance Fields (NeRF), aiming to address the limitations of existing technologies in acquiring high-quality 3D human body ...
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ISBN:
(数字)9798350375107
ISBN:
(纸本)9798350375114
This paper introduces a human body three-dimensional mesh extraction strategy based on Neural Radiance Fields (NeRF), aiming to address the limitations of existing technologies in acquiring high-quality 3D human body models. Traditional techniques require expensive equipment and specialized setups, while our system is more lightweight and can quickly generate new viewpoint images and editable 3D mesh models with limited computational resources. By combining SMPL-parameterized human body models with NeRF rendering, our system can accurately capture both the shape and appearance of human bodies while allowing for control over the reconstruction process. The paper discusses the key stages of the reconstruction process, such as model training, image rendering, mesh model extraction, and the formulation of loss functions. Experimental results show that our reconstruction system surpasses existing approaches on the People-Snapshot benchmark dataset, particularly in preserving intricate clothing textures.
Brain-inspired intelligence is a form of machine intelligence that mimics human brain *** machine intelligence similar to human consciousness is the ultimate task of brain-inspired intelligence and the long-term goal ...
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Brain-computer interface (BCI) is an association between brain and device that helps signals from the human brain to help in controlling activity, such as automatic control of home devices, gaming, robot, or a prosthe...
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