Object detection plays a vital role in remote-sensing datasets which trains the image or things and helps in classifying the images into their classes. Instance segmentation is the avant-garde technique used for objec...
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Internet ride sharing allows multiple passengers to share a trip in the same vehicle, enabling cost sharing as well as reducing traffic congestion. However, existing technological limitations and uncertainties in the ...
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ISBN:
(纸本)9798350358261;9798350358278
Internet ride sharing allows multiple passengers to share a trip in the same vehicle, enabling cost sharing as well as reducing traffic congestion. However, existing technological limitations and uncertainties in the service (e.g., uncertainty in driver and passenger locations) make it difficult to achieve accurate and efficient real-time responses for ride-sharing matching. Balancing the optimal solutions of drivers, passengers, and platforms, dynamically matching passengers and drivers, and planning optimal paths are complex challenges. Therefore, this paper proposes a greedy algorithm based on the nearest match insertion operation to synthesize the interests of platforms, drivers and passengers. Compared with static one-time matching, this algorithm can effectively realize dynamic matching of drivers and passengers, meet real-time demand, provide drivers with optimal driving paths, and improve the scheduling efficiency of the platform. In this thesis, a dynamic carpooling optimization model is constructed and used to design comparison experiments with the traditional greedy algorithm. This study helps improve the efficiency of the ride-hailing system and enhance the passenger experience, providing valuable references for the promotion and application of dynamic carpooling models in smart cities.
The safety and comfort of autonomous vehicles are currently important research directions. As an evaluation indicator of vehicle comfort during driving, how to reduce the probability of motion sickness among passenger...
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ISBN:
(纸本)9784907764807
The safety and comfort of autonomous vehicles are currently important research directions. As an evaluation indicator of vehicle comfort during driving, how to reduce the probability of motion sickness among passengers inside the vehicle has become a key research topic in the field of autonomous vehicles. This article proposes a novel method that considers the vertical stability of the vehicle and reduces the incidence of carsickness based on the active suspension of the vehicle. Active suspension, as a core part of the vehicle chassis-by-wire, plays a role in reducing ground roughness excitation and enhancing vehicle handling stability. Firstly, a dynamic model of the vehicle's active suspension was established based on the actual vehicle, and then an adaptive fuzzy PID algorithm was designed to optimize the performance indicators of the active suspension, such as body acceleration and suspension dynamic deflection. A quantitative model of the motion sickness mechanism was also established. By comparing different algorithms, it is shown that the proposed method can more effectively reduce the incidence of motion sickness among passengers in the vehicle. This control method can effectively improve vehicle comfort and contribute to the promotion and application of autonomous vehicles.
We propose a computational design system for packaging boxes, which enables reconstruction of cardboard into packaging structures that precisely fit the size of the objects to be shipped. Given a 3D model of the objec...
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ISBN:
(纸本)9798400700965
We propose a computational design system for packaging boxes, which enables reconstruction of cardboard into packaging structures that precisely fit the size of the objects to be shipped. Given a 3D model of the object and the structure of the cardboard to be reused, our system suggests the optimal net of a new box, which only requires minimum cuts and folds for fabrication by leveraging the edges of the input cardboard. To achieve this, we implemented a GUI visualizing the input models and the optimal net computed by our optimization algorithm. As a demonstration, we showed three design examples, with evaluation results of our method for reducing the length of cuts and folds.
With the construction of a new power system and the implementation of China's clean energy strategic goals, the installed capacity of domestic new energy has grown rapidly. This will lead to the increasingly promi...
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With the construction of a new power system and the implementation of China's clean energy strategic goals, the installed capacity of domestic new energy has grown rapidly. This will lead to the increasingly prominent problem of new energy consumption in regional power grids. Therefore, it is urgent to carry out a comprehensive assessment of the new energy consumption capacity in combination with the actual characteristics of the regional power grid, and to establish a simulation computing architecture. To this end, this paper firstly affects the key factors of new energy power generation and consumption capacity, and establishes optimization objectives and constraints. On this basis, this paper proposes a simulation computing architecture design scheme, and finally carries out a comprehensive analysis of the factors affecting the cost of new energy consumption in combination with a certain regional power grid. The numerical example verifies the effectiveness of the scheme, and can provide a basis for the evaluation and optimization of the new energy consumption capacity under the new situation.
Acoustic pressure and particle velocity is narrowband filtered to obtain multi-band signal. High-order correlation equations composed of acoustic pressure and particle velocity are solved by optimization algorithm and...
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ISBN:
(纸本)9798350313048
Acoustic pressure and particle velocity is narrowband filtered to obtain multi-band signal. High-order correlation equations composed of acoustic pressure and particle velocity are solved by optimization algorithm and DOA (Direction of arrive) distribution for different signal in multi-band is counted. Then the DOA of multiple targets can be distinguished and tracked. In order to improve the accuracy, the least square method is used to fit the measurement results and a prediction model is established, and then DOA trajectory is optimized by Kalman filter. The experimental results indicate that DOA of three targets can be distinguished and trajectory tracked, DOA of interference source is also observed by the pseudo color picture of DOA distribution, the accuracy of DOA estimation is less than 5 degrees.
Digitalization and informationization are important trends in the development of the sports industry. The study first introduced the sparrow search algorithm to improve the generalization ability of traditional neural...
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Digitalization and informationization are important trends in the development of the sports industry. The study first introduced the sparrow search algorithm to improve the generalization ability of traditional neural networks, optimizing the assignment of initial weights and thresholds of neural networks;Secondly, the chicken swarm algorithm is introduced to optimize the training combination, period, and intensity of athletes based on the evaluation results, improving the subjective limitations of traditional training methods. The results of model performance analysis show that the sparrow search algorithm is better than other intelligent optimization algorithms in finding fitted parameters, and the solution error is less than 0.50. The evaluation model performs well in terms of accuracy, recall, average relative error, and R2 evaluation indicators. The model has high repeatability and is suitable for evaluating track and field training methods. The accuracy and computational speed of the chicken swarm algorithm are relatively good;Compared with other optimization models, the chicken swarm algorithm has better optimization ability and accuracy. Friedman test found significant differences in the chicken swarm algorithm, and the optimized training method has a significant positive impact on the explosive power of athletes, and the training period and intensity arrangement are reasonable and more helpful to the improvement of athletic performance. This study improves the scientific rationality of the development of track and field training methods, which is conducive to optimizing the training effect of track and field sports, and facilitates the risk management and personalized training of athletes. At the same time, it greatly promotes the integration and development of sports and computer disciplines.
Accurate dual-axis sun tracking is the key feature of a heliostat and is critical for the performance of a solar tower power plant. The primary tracking errors with respect to the geometrical errors could be theoretic...
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Accurate dual-axis sun tracking is the key feature of a heliostat and is critical for the performance of a solar tower power plant. The primary tracking errors with respect to the geometrical errors could be theoretically determined from the measurements of the BCS based on optimization algorithm. Tests are performed on two heliostats in DAHAN solar tower plant and analyses are performed to evaluate the comprehensive effect of the six angular geometrical errors on the heliostat tracking accuracy. The test results show that the altitude-azimuth tracking angle formulas for several fixed geometrical errors work well and have a effectiveness for a given period of time.
In this paper, an optimization method of toroidal core-based Hybrid common mode chokes (HCMCs) for the design of an Electromagnetic interferences (EMI) filter is proposed. A dedicated algorithm is developed using MATL...
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In this paper, an optimization method of toroidal core-based Hybrid common mode chokes (HCMCs) for the design of an Electromagnetic interferences (EMI) filter is proposed. A dedicated algorithm is developed using MATLAB to characterize compact HCMCs that exhibit effective Common Mode (CM) chokes with optimized leakage inductances by systematic variations in the winding patterns and geometric dimensions of their magnetic cores. It takes into consideration the physical limitations of these components as well as the constraints related to the design of EMI filters. The proposed algorithm allows through a small computational task to propose a variety of configurations for optimal HCMCs. Finite element method (FEM) simulations are conducted on the HCMCs to extract their CM and leakage inductances. The results are compared with those calculated analytically and yield a good match. The performances of optimized HCMCs are evaluated through their implementation in the designed filter. All the cases of HCMCs including the smallest one allow the EMI filter to easily qualify a power converter to an electromagnetic compatibility (EMC) standard.
The particle size distribution (PSD) of particle medium plays an important role in the field of particle science, so the inversion of PSD is of great significance. To study spherical particle PSD, a multi-wavelength d...
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The particle size distribution (PSD) of particle medium plays an important role in the field of particle science, so the inversion of PSD is of great significance. To study spherical particle PSD, a multi-wavelength detection model based on a global optimization algorithm called OptQuest nonlinear programming (OQNLP) is established in this paper and an experiment to verify the reliability of the system is designed. The numerical results show that the selection of detection wavelength has great influence on the results of PSD inversion. The relative error of PSD parameters is minimized by choosing the wavelength at the peak of extinction coefficient curve of appropriate particle size. Both simulation and experimental results indicate that the five-wavelength method has the highest testing accuracy. When high accuracy is not required, choosing the four-wavelength method is the most suitable testing method. Furthermore, the universality of the model is also confirmed for the Rosin-Rammer (R-R) function, normal (N-N) function, and lognormal (L-N) function.
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