In recent years, with the increasing demand for security, intelligent video surveillance system has become more and more widely used in national security, intelligent transportation, social life and other fields Among...
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In recent years, with the increasing demand for security, intelligent video surveillance system has become more and more widely used in national security, intelligent transportation, social life and other fields Among them, the detection and tracking of moving targets are the key points and difficult parts in the intelligent video surveillance system, which mainly involves in the related knowledge of pattern recognition, image processing and intelligent control and other fields, and is also the basis of subsequent steps such as target analysis and processing. In the detection and tracking of moving targets, the existing algorithms can not adapt to the changes of the external environment. Therefore, it is necessary to study an algorithm, which is robust and not afraid of complex background environment. In this paper, the detection and tracking algorithms of moving objects in complex scenes are studied comprehensively and in detail, and the existing algorithms are improved to solve the tracking problem and make some progress.
Given the important role and significance of smart wheelchairs in helping elderly peoplemove and improving their navigation ability in complex environments with dynamic obstacles, this paper studies a comprehensive me...
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ISBN:
(纸本)9789819616138;9789819616145
Given the important role and significance of smart wheelchairs in helping elderly peoplemove and improving their navigation ability in complex environments with dynamic obstacles, this paper studies a comprehensive method based on laser vision mapping and navigation to improve the environment perception and navigation ability of smart wheelchairs. We use V-LOAM for environmental mapping and mix visual and liDAR data for high-precision map construction. For global path planning, we improve the A* algorithm, introduce heuristic function optimization and path smoothing, and improve the planning efficiency and path quality. For local obstacle avoidance, the dynamic window algorithm (DWA) is used to respond to environmental changes in real time to ensure safety. The results of the experiment demonstrate that this approach excels in constructing maps, planning global paths, and avoiding local obstacles. Furthermore, it enhances the navigation capabilities of intelligent wheelchairs within dynamic environments. In the future, we will further optimize and expand the application scenario to verify its wide applicability and robustness.
Powder metallurgy (PM) technology is extensively employed in the manufacturing sector, yet its processing presents numerous challenges. To alleviate these difficulties, green machining of PM green compacts has emerged...
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Powder metallurgy (PM) technology is extensively employed in the manufacturing sector, yet its processing presents numerous challenges. To alleviate these difficulties, green machining of PM green compacts has emerged as an effective approach. The aim of this research is to explore the deformation features of green compacts and assess the impact of various machining parameters on the force of cutting. The cutting variables for compacts of PM green were modeled, and the cutting process was analyzed using Abaqus (2022) software. Subsequently, the orthogonal test ANOVA method was utilized to evaluate the significance of each parameter for the cutting force. optimization of the machining parameters was then achieved through a genetic algorithm for neural network optimization. The investigation revealed that PM green compacts, which are brittle, undergo a plastic deformation stage during cutting and deviate from the traditional model for brittle materials. The findings indicate that cutting thickness exerts the most substantial influence on the cutting force, whereas the speed of cutting, the tool rake angle, and the radius of the rounded edge exert minimal influence. The optimal parameter combination for the cutting of PM green compacts was determined via a genetic algorithm for neural network optimization, yielding a cutting force of 174.998 N at a cutting thickness of 0.15 mm, a cutting speed of 20 m/min, a tool rake angle of 10 degrees, and a radius of the rounded edge of 25 mu m, with a discrepancy of 4.05% from the actual measurement.
This paper proposes a scheduling algorithm based on fast edge resource placement, so as to further improve the effect of bilateral resource integration of the mergers and acquisitions (M&A). Among them, the random...
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ISBN:
(纸本)9798350388732;9798350388725
This paper proposes a scheduling algorithm based on fast edge resource placement, so as to further improve the effect of bilateral resource integration of the mergers and acquisitions (M&A). Among them, the random demand model is taken as the basic resource scheduling method, and the algorithm is optimized by introducing edge computing and user random demand, thereby further improving the resource scheduling effect of mergers and acquisitions. The simulation results show that under different merger and acquisition resources, Zipf values, and types of resources, compared with traditional mean-based scheduling algorithms, the scheduling algorithm based on fast edge resource placement have higher resource scheduling benefits and significantly reduced time complexity. Therefore, it can be concluded that the scheduling algorithm based on fast edge resource placement has good performance, and it can carry out resource scheduling with good effect. In addition, applying the proposed algorithm in the actual enterprise M&A scenario can help enterprises to carry out better resource management, which is feasible and has certain practical application value.
Content caching plays a crucial role in improving the efficient retrieval of content and enabling fast delivery to enhance the quality of service (QoS). Traditional caching replacement policies (e.g., LRU, LFU) usuall...
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ISBN:
(纸本)9798350354249;9798350354232
Content caching plays a crucial role in improving the efficient retrieval of content and enabling fast delivery to enhance the quality of service (QoS). Traditional caching replacement policies (e.g., LRU, LFU) usually depend on historical request patterns to decide which content to store. However, they struggle to handle adversarial request patterns and dynamically changing popular content. Online learning caching policies (e.g., OGA) are resilient to different request patterns and can be applied in intricate network environments to address the caching replacement problem. Nevertheless, these policies tend to become more computationally intensive over time due to the increasing amount of content, leading to higher computing consumption. Motivated by this, we propose SwiftOGA, an efficient and swift online gradient ascent algorithm for cache replacement. Compared to previous online learning caching policies, our proposal achieves a reduction in computational overhead of at least 74.9%. Furthermore, it exhibits a cache hit ratio improvement of 8.3% over OGA under a dynamic request pattern. We also demonstrate that the proposed policy still has sub-linear regret.
Due to the lack of a perfect and convenient method to detect the grouting quality of shield tunnels, an optimized ultrasonic phased array tunnel grouting detection technology is proposed. The particle swarm genetic al...
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Due to the lack of a perfect and convenient method to detect the grouting quality of shield tunnels, an optimized ultrasonic phased array tunnel grouting detection technology is proposed. The particle swarm genetic algorithm is optimized to be used for phased array sparse, and the GA-VMD-SG algorithm is proposed to be used for noise reduction of ultrasonic detection signals, and numerical simulation and experimental methods are used to validate the optimized detection effect of the ultrasonic phased array. The results show that: the GA-PSO algorithm can better simplify the array and reduce the maximum sidelobe value;the GA-VMD-SG algorithm can well reduce the noise of ultrasonic signals;numerical simulation and experiments verify the feasibility of the ultrasonic phased array to detect the quality of grouting and the optimization effect of the two algorithms.
The fuel consumption rate of a diesel engine is closely related to its operating speed. In order to minimize the fuel consumption rate of the diesel engine, this paper studies the optimal operating speed of the diesel...
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The fuel consumption rate of a diesel engine is closely related to its operating speed. In order to minimize the fuel consumption rate of the diesel engine, this paper studies the optimal operating speed of the diesel generator set, and designs the optimal operating speed curve of the diesel generator based on the actual situation. Aiming at the phenomenon that the load changes at any time in the actual working condition of the diesel generator set, this paper designs a fuzzy adaptive PID control algorithm for the diesel engine governor and realizes algorithm optimization. Using MATLAB platform simulation analysis, it is verified that the fuzzy adaptive PID controller after algorithm optimization has better dynamic response and stability performance in diesel generator system.
This research work proposes the design of a latest generation digital filter, which is particularly suitable for the optimization of environment measurements. Filters are important components of signal processing that...
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ISBN:
(纸本)9798350395334;9798350395327
This research work proposes the design of a latest generation digital filter, which is particularly suitable for the optimization of environment measurements. Filters are important components of signal processing that used for correct acquiring and analysis of environmental information. But in current designs various problems of accuracy, response time and power consumption are usually encountered. In this directed method, we have incorporated novel algorithms as well as optimization procedures that enhance the filter's efficiency. Experiments substantiate the superiority of the proposed approach compared to prior art in such categories as accuracy and time. Other real life environmental monitoring applications also support our observations and the efficiency of our proposed approach. Such profuse outcomes have scientific significance to progress in the Emergency and environmental monitoring systems contributing to higher reliability and accuracy.
The evolution of technologies such as Big Data, Cloud Computing, and Artificial Intelligence is inextricably linked to the transmission of network data. Programmable network devices that facilitate high-speed processi...
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In view of the problems of low efficiency and high cost of manual cloth loading,the introduction of loading robots has become a key strategy to improve the loading *** three-dimensional detection system was designed o...
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ISBN:
(纸本)9798350370010;9798350370003
In view of the problems of low efficiency and high cost of manual cloth loading,the introduction of loading robots has become a key strategy to improve the loading *** three-dimensional detection system was designed on the basis of the loading robot, and the hardware design and software demand analysis software were divided and designed. The system uses advanced 3D sensors as the core perception equipment, which is installed at the front end of the robot arm to realize the intelligent detection of environmental information in the truck compartment. Based on the TOF time-of-flight technology, high-quality point cloud data was obtained. In terms of point cloud processing, the normal estimation algorithm and the RANSAC circle fitting algorithm are proposed, which aim to optimize the quality of point cloud data, reduce noise, and accelerate the real-time processing *** can generate high-precision three-dimensional point cloud data, obtain the position and size of the detection carriage, and detect the loading status of the cloth, which can achieve higher speed and more accurate grasping and placing of the cloth, reduce the error, thereby significantly improving the overall loading efficiency and reducing labor costs.
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