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检索条件"任意字段=7th International Conference on Functional Programming"

共 3595 条记录，以下是341-350 订阅

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Research on Soil and Water Conservation Measures Optimization Scheme Based on Improved Binary Lion Swarm Algorithm

Research on Soil and Water Conservation Measures Optimizatio...

引用

Advanced Algorithms and Control Engineering (ICAACE), international conference on

作者： Penghui Cao Jiapeng Xiu Zhengqiu Yang Beijing University of Posts and Telecommunications Beijing China

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 with the 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.

关键词： Soil measurements Heuristic algorithms Memory management Urban areas Soil Water conservation Dynamic programming

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Dynamic Incentive Problem of Performer with Discrete Time at Industrial Enterprise 7

Dynamic Incentive Problem of Performer with Discrete Time at...

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7th IEEE international conference on Information Technology and Nanotechnology, ITNT 2021

作者： Pavlov, Oleg Samara National Research University Institute of Economics and Management Samara Russia

ISBN: (纸本)9781665432177

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 principle of cost recovery is applied, which reduces the original task to the optimal control problem in discrete time. the criterion in the optimal control problem is the difference between the center income and the executor costs. Various variants for the dynamics of the center's income and performer's cost are considered, taking into account the learning curve effect. Numerical solutions of the problem are obtained using the Bellman dynamic programming method. the study is conducted of the change the product market price impact on the solution of the dynamic incentive problem. © 2021 IEEE.

关键词： Dynamic programming

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Improving Source Code with Assistance from AI — A Pilot Case Study with ChatGPT

Improving Source Code with Assistance from AI — A Pilot Cas...

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international conference on Information and Computer Technologies (ICICT)

作者： Steven McDaniel Minhaz F. Zibran Department of Computer Science Idaho State University Pocatello ID USA

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 with the ChatGPT provided feedback was over 90 percent, at times, ChatGPT’s recommendations were found misleading.

关键词： Codes Generative AI Source coding Software algorithms C++ languages Software quality programming

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UAV Number Optimal Recombination as an Air Transport Technologies Resource-Element

UAV Number Optimal Recombination as an Air Transport Technol...

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IEEE international conference on Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)

作者： A.V. Goncharenko V.V. Iliushyn Air Transportation Management Department National Aviation University Kyiv Ukraine

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 with the 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.

关键词： Uncertainty Computer simulation Autonomous aerial vehicles Linear programming Entropy Aircraft Airline industry

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Color Detection Using Python 7

Color Detection Using Python

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7th IET Smart Cities Symposium, SCS 2023

作者： Bachute, Mrinal Singh, Aditya Kumar, Akash Sahil, Aman Symbiosis International University Maharashtra Pune412308 India

ISBN: (纸本)9781839539831

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 comprehensive overview of RGB color detection in Python, a popular and versatile programming language, with the aim of accurately identifying and analysing colors in digital images or video streams in a real-time context. this approach uses Python’s powerful libraries and packages, like OpenCV or NumPy, to quickly and easily access and process image data. It uses the RGB color space to represent and detect colors. the process includes getting the image, setting the color threshold, and segmenting the objects to identify and track specific colors in the image or *** experimental results show how powerful and fast the RGB color detection system is. It’s really good at picking up pre-defined colors in different lighting conditions and different color palettes. It’s really useful for tracking objects, recognizing gestures, and sorting colors, so it’s great for research and industry. this research is not only useful for computer vision, but it’s also a great resource for Python developers and researchers who want to use RGB color detection in their projects. It’s a great way to explore and come up with new ideas for color-based apps, and it shows how important color detection is in modern tech and automation. © the Institution of Engineering & Technology 2023.

关键词： Industrial research

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A Practical Approach for Reliability Prediction of Safety Critical Software Using Multi-Model Ensemble Techniques

A Practical Approach for Reliability Prediction of Safety Cr...

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international conference on System Reliability and Science (ICSRS)

作者： Aymen Ouertani Ossmane Krini Habil. Josef Börcsök Institute of functional safety & cyber security Baden-Wuerttemberg Cooperative State University Lörrach Germany Computer Architecture und System Programming University of Kassel Kassel Germany

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.

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Autonomous Vehicle Path Tracking Control based on Adaptive Dynamic programming

Autonomous Vehicle Path Tracking Control based on Adaptive D...

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conference on Vehicle Control and Intelligence (CVCI)

作者： Hongyan Guo Guangyao Li Jun Liu Zhongqiu Tan Dachuan Yu Yiming Zhang State Key Laboratory of Automotive Simulation and Control and the College of Communication Engineering Jilin University Changchun China College of Communication Engineering Jilin University Changchun China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China SAIC Motor R&D Innovation Headquarter Shanghai China

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.

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Research on the Application of Intelligent Assisted Teaching System in programming Courses

Research on the Application of Intelligent Assisted Teaching...

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Education, Network and Information Technology (ICENIT), international conference on

作者： Hao Xie Jingyu Wang Yuanzhong Zhang College of Geophysics China University of Petroleum (Beijing) Beijing China

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.

关键词： Statistical analysis Education C languages Machine learning Chatbots Real-time systems Information technology programming profession Long short term memory

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A Topology Identification Method for Low Voltage Station Area Based on Mixed Integer programming and Data Mining

A Topology Identification Method for Low Voltage Station Are...

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China international Electrical and Energy conference (CIEEC)

作者： Bin Guo Jun Dong Xuebing Shang Xiaoqiang Wu Yun Zhao Yuxin Lu Guangzhou Power Supply Bureau Guangzhou Power Grid Co. Ltd. Guangzhou China Guangdong Provincial Key Laboratory of Intelligent/Measurement and Advanced Metering of Power Grid CSG Electric Power Research Institute Guangzhou China

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.

关键词： Integer programming Low voltage Network topology Energy conservation Distribution networks Transformers Topology

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Hydrolytic Acidification—Contact Oxidation—MBR—RO Treatment and Reuse of Glass-Fiber Wastewater 7th

Hydrolytic Acidification—Contact Oxidation—MBR—RO Treatme...

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2023 the 7th international conference on Energy and Environmental Science - ICEES 2023

作者： Liu, Lin Lu, Zihui Sun, Anchao Zhou, Xuren Qin, Tianyu Chongqing Polycomp International Corporation Co. Ltd. Chongqing401220 China College of Chemistry and Environmental Engineering Shenzhen University Guangdong Shenzhen518000 China CMCU Engineering Co. Ltd. Chongqing400039 China

ISBN: (纸本)9783031320675

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 wastewater are in the form of multiple sets of processes. the wastewater of this project comes from the industrial wastewater produced by an enterprise in Chongqing in the process of producing glass fiber composites. According to the requirements of influent water quality of wastewater design, the process flow with "regulation homogenization coagulation sedimentation hydrolytic acidification contact oxidation MBR reverse osmosis" as the core is designed, which meets the requirements of intelligent and automatic treatment systems;the functional positioning of the treatment area is accurate, the planning is neat, the logistics in the station is smooth, and the operation is convenient. the biochemical treatment area and the roads in the station are suitable for greening and beautification, the waste gas and odor are collected and treated, and the noisy equipment is closed for treatment. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Biodegradability

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