Aiming at the Soil and Water Conservation Measures Optimization Scheme Problem, when the number of governing regions is large, the memory consumption of the Dynamic programming Algorithm becomes excessively high, maki...
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ISBN:
(数字)9798350361445
ISBN:
(纸本)9798350361452
Aiming at the Soil and Water Conservation Measures Optimization Scheme Problem, when the number of governing regions is large, the memory consumption of the Dynamic programming Algorithm becomes excessively high, making it unsuitable as a solution algorithm. In order to solve the large-scale Soil and Water Conservation Measures Optimization Scheme Problem, an improved Binary Lion Swarm Optimization Algorithm is proposed by introducing a restriction mechanism. Secondly, a simulated experiment using real land data from Jiangjin District in Chongqing City shows that the improved Binary Lion Swarm Optimization Algorithm can reduce memory consumption by a hundredfold compared withthe dynamic programming algorithm. the average solution of the algorithm can reach 99.59% of the optimal solution, and there is a certain probability that the optimal solution can be obtained. It can assist scientific researchers in soil and water conservation in choosing the appropriate measures for soil erosion regions.
the paper considers the task of monetary incentives for the performer in discrete time. the problem is formulated as the Stackelberg dynamic inverse game between the center and the performer. To solve the problem, the...
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ChatGPT queries were used to provide feedback on five C++ programs selected from various programming assignments for two graduate-level computer science courses – a scientific programming course and an algorithms cou...
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ISBN:
(数字)9798350385625
ISBN:
(纸本)9798350385632
ChatGPT queries were used to provide feedback on five C++ programs selected from various programming assignments for two graduate-level computer science courses – a scientific programming course and an algorithms course. the evaluated software was written by the first author for those courses within the last two years. ChatGPT was asked to evaluate and provide feedback for each program. Specifically, ChatGPT was asked to evaluate the code for strengths and weaknesses and make recommendations for improving (1) execution speed as well as (2) readability and maintainability. A subjective agreement rating was generated by the authors for each strength, weakness, and recommended change provided by ChatGPT. While the overall agreement withthe ChatGPT provided feedback was over 90 percent, at times, ChatGPT’s recommendations were found misleading.
the presented study is dedicated to the case of the airline’s optimal resources recombination. the airline, owning UAVs, deploys the aircraft number optimally in accordance withthe maximal value of the individuals, ...
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ISBN:
(数字)9798331534141
ISBN:
(纸本)9798331534158
the presented study is dedicated to the case of the airline’s optimal resources recombination. the airline, owning UAVs, deploys the aircraft number optimally in accordance withthe maximal value of the individuals, preferences subjective entropy. the air transport technologies’ elements (aircraft) optimal deployment meets the linear programming solution which proves the correctness of the proposed approach application. the subjective analysis illustration shows the maximum of the objective function (profit) in a prospective case and in a nonlinear manner. this allows to judge how much the optimal solution better is and in a cognitively perceptible form. the necessary computer simulation is conducted and corresponding diagrams are plotted.
RGB color detection is a fundamental component of computer vision with a wide range of applications, including image processing, object recognition, industrial automation, and design. this article provides a comprehen...
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this paper introduces a novel and comprehensive approach for estimating the reliability of safety critical software components in autonomous vehicle motion systems. the proposed approach in this paper presents a combi...
this paper introduces a novel and comprehensive approach for estimating the reliability of safety critical software components in autonomous vehicle motion systems. the proposed approach in this paper presents a combination software reliability model (CSRM) that integrates multiple non-homogeneous Poisson process (NHPP) software reliability growth models (SRGMs) to achieve a reasonable compromise between accuracy, the trade-off between the goodness of fit and the simplicity, and stability. By using machine learning techniques, the CSRM effectively combines the strengths of individual SRGMs while mitigating their weaknesses through suitable evaluation and calibration techniques. the developed CSRM has been successfully applied and validated to facilitate a smoother and more efficient evaluation of reliability targets for software components in autonomous robotic wheelchair (ARW). Based on the validation results, the new CSRM has significantly enhanced the efficiency of the process for evaluating whether the defined reliability goals were being achieved. Furthermore, has facilitated a more accurate assessment of the need for further test executions and better planning of the required verification and validation session. this new approach provides valuable insights into the reliability of the developed software, particularly for software developers lacking extensive experience in identifying and applying appropriate SGRM.
this paper presents a path tracking control method for autonomous vehicles by utilizing Adaptive Dynamic programming (ADP). the primary goal is to enhance the path tracking performance under various longitudinal speed...
this paper presents a path tracking control method for autonomous vehicles by utilizing Adaptive Dynamic programming (ADP). the primary goal is to enhance the path tracking performance under various longitudinal speeds. the proposed approach incorporates the consideration of nonlinear tire characteristics and establishes a nonlinear vehicle system model based on the fundamental principles of vehicle dynamics. By formulating a performance index function that captures the correlation between the vehicle’s position and desired paths, the optimal control strategy is obtained using the Dual Heuristic programming algorithm (DHP), known for its computational efficiency, within the ADP framework. the simulation results verify the effectiveness of the proposed path tracking control scheme, which can have better control performance under different vehicle speeds.
this article takes the C language programming course as an example to explore the application of intelligent assisted teaching (IAT) system in programming courses. In this article, ChatGPT, Copilot and other AI techno...
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ISBN:
(数字)9798350374919
ISBN:
(纸本)9798350374926
this article takes the C language programming course as an example to explore the application of intelligent assisted teaching (IAT) system in programming courses. In this article, ChatGPT, Copilot and other AI technologies are used to build the IAT system based on long short-term memory (LSTM) framework, which is applied in all sessions of the teaching of the C language programming course. First, learning data from students are collected and analyzed in real-time by ChatGPT and Copilot. Second, LSTM network is trained by the data to predict the learning activities for each student. Finally, the prediction and evaluation results are fed back to teachers for the improvement of teaching and learning strategies. therefore, the system can provide students with a more personalized, efficient and convenient learning experience through multiple functions such as personalized learning plans, intelligent interaction, intelligent assessment and intelligent feedback, which effectively improves the quality and effects of teaching and learning. In addition, this article analyzes the effects, challenges and corresponding strategies of AI technology in the teaching of programming courses, which provides reference for the popularization of AI in future courses.
Low voltage station topology identification is a key link in achieving transparency in the distribution network. In this paper, a topology identification method for low voltage station areas based on mixed integer pro...
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ISBN:
(数字)9798350359558
ISBN:
(纸本)9798350359565
Low voltage station topology identification is a key link in achieving transparency in the distribution network. In this paper, a topology identification method for low voltage station areas based on mixed integer programming and data mining is proposed. Firstly, principal component analysis and Z-score are used to realize data preprocessing. Secondly, the CCVP (Correlation coefficient of voltage profiles) value between each user and the master wire of the low voltage station area is calculated to preliminarily judge the household transformer relationship. Finally, the mixed integer programming method based on energy conservation is used to identify and make accurate topology. Simulation examples demonstrate the effectiveness of the proposed identification method.
Glass fiber wastewater has the characteristics of large amount of water, poor biodegradability and containing a large amount of fluoride. At present, the methods used for advanced treatment and reuse of glass fiber wa...
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