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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361-370 订阅

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Gamifying Python: Enhancing Learning Outcomes and Motivation through a Game-Based Approach

Gamifying Python: Enhancing Learning Outcomes and Motivation...

引用

international conference on Information Technology (INCIT)

作者： Nicha Sirikong Porawat Visutsak Department of Computer and Information Science Faculty of Applied Science KMUTNB Bangkok Thailand

ISBN: (数字)9798350366303

ISBN: (纸本)9798350366310

this work aimed to enhance Python programming education by developing a learning game that utilizes gamification techniques. the study focused on Mathayom Suksa 1 (7th grade in the U.S. education system) students who often face challenges in understanding complex programming concepts due to traditional teaching methods. the developed game incorporated gamification elements like points, rewards, leaderboards, and time constraints to create an engaging and interactive learning environment. the study compared students’ learning achievements before and after using the game and assessed their satisfaction levels. the findings indicated that the gamified learning game significantly improved students’ learning outcomes, with post-test scores (M = 12.90, SD = 4.27) being notably higher than pre-test scores (M = 7.28, SD = 1.60), t(39) = 11.82, p < .05. Furthermore, students expressed high levels of satisfaction with the gamified learning experience (M = 3.88, SD = 0.69) on a 5-point Likert scale, indicating its potential to foster positive attitudes towards learning Python. the study highlights the potential of gamification in addressing the challenges of teaching programming to novice learners and promoting effective and enjoyable learning experiences.

关键词： Education Collaboration Games Planning Time factors Problem-solving Information technology programming profession Faces Python

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A Modified U-Tree Algorithm Based on Sarsa(λ)

A Modified U-Tree Algorithm Based on Sarsa(λ)

引用

IEEE international conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Jiajia Song Dongying Vocational College of Science & Technology Dongying Shandong China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040

Using Traditional U-Tree algorithm the agent will do a value iteration for each step in the environment, that is, one-step dynamic programming of the Q value, and update the current Q value with the estimation state at the next time, regardless of the future. this article we propose a modified U-Tree algorithm based on Sar-sa (λ) algorithm, and use the Sarsa (λ) algorithm to update the Q value, which is called SU-Tree algorithm. When the Agent arrives at the agent target state or the penalty state, the Q value of the whole path is updated from the starting point to improve the convergence speed of the algorithm. By simulating the new algorithm in the 4×3 grid issues, agent can find the non-shock path from the beginning to the end more quickly than the original U- Tree algorithm.

关键词： Electrical engineering Automation Heuristic algorithms Estimation Dynamic programming Convergence

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the analysis and research of the programming operation based on substation equipment status

The analysis and research of the programming operation based...

引用

Energy, Electrical and Power Engineering (CEEPE), international conference on

作者： Guangming Li Yan Sun Lianrong Pan Cuiyun Luo Qiuquan Deng Daiyu Xie Yin Wu Yipeng Wu Dispatch And Control Center of Guangxi Power Grid Nanning China Dispatch And Control Center Of Liuzhou Power Supply Bureau Guangxi Power Grid Liuzhou China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

With the continuous development of power grid, the number of intelligent substations is increasing, and the electrical operation is becoming increasingly complex, which puts forward higher safety and efficiency requirements for the operation of substations. the existing substation operation mode has been unable to meet the needs of power grid operation and maintenance. According to the different states of substation equipment, this paper puts forward the programmed operation process, which can automatically check the state of equipment before operation and carry out remote automatic operation by the system, improve the intelligent degree of operation, and improve the accuracy, rapidity and effectiveness of substation electrical equipment operation.

关键词： Power engineering Substations Accuracy programming Power grids Safety Maintenance

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Signal Timing Optimization Based on Trajectory Data

Signal Timing Optimization Based on Trajectory Data

引用

IEEE international conference on Computer and Communication Engineering Technology (CCET)

作者： Lei Gao Haoyu Zhang Jinhong Li School of Information Science and Technology North China University of Technology Beijing China

ISBN: (数字)9798350355673

ISBN: (纸本)9798350355680

A fixed signal timing optimization method utilizing historical trajectory data at intersections is proposed. A model applicable to low-resolution trajectory data is developed to optimize fixed signal timing. the model takes the green split of each phase as decision variables, aiming to minimize the total trajectory delay. Based on the proportional principle of uniformly distributed randomly arriving trajectories under different signal timings, the constraints of the model are constructed from three aspects: signal constraints, trajectory signal constraints, and departure time constraints. the model solving is transformed into a mixed-integer linear programming problem. Simulation experiments using SUMO are conducted to validate the effectiveness of the proposed model.

关键词： Computational modeling Optimization methods Data models Trajectory Mixed integer linear programming Delays Time factors

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7th international Workshop on Accelerator programming using Directives, WACCPD 2020

7th International Workshop on Accelerator Programming using ...

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7th international Workshop on Accelerator programming using Directives, WACCPD 2020

ISBN: (纸本)9783030742232

the proceedings contain 5 papers. the special focus in this conference is on Accelerator programming using Directives. the topics include: GPU Acceleration of the FINE/FR CFD Solver in a Heterogeneous Environment with OpenACC Directives;performance and Portability of a Linear Solver Across Emerging Architectures;ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems.

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Analyzing the Impact of Uncertain Parameters in Reverse Supply Chain Network Using Fuzzy Alpha-Cut Approach

Analyzing the Impact of Uncertain Parameters in Reverse Supp...

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international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Mahmoud Elashwah N. Afia W. Abbas T. Ismail Basic and Applied Sciences department Faculty of Engineering and Technology Arab Academy for Science Technology and Maritime Transport Design and Production Engineering department Ain Shams University

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

Optimizing reverse supply chains (RSC) design is crucial for sustainability, impacting the collection and processing of used products. this study introduces a fuzzy mixed-integer linear programming (FMILP) model employing the fuzzy alpha-cut method to determine optimal locations for collection points under uncertainty. the model considers uncertainty in the quantity of used products at customer locations and the selling prices at collection points and retailers. Six scenarios were analyzed, covering individual and combined uncertainties. Each scenario utilized triangular fuzzy numbers with alpha-cuts to assess robustness at medium (a=0.5) and high ( $a=1$ ) confidence levels, providing upper and lower bounds of uncertainty. Results indicate that combined uncertainties significantly affect RSC performance compared to individual uncertainties. A comparison with exact solutions highlights the influence of uncertainty parameters on decision-making in reverse supply chains.

关键词： Adaptation models Uncertainty Costs Profitability Supply chains Stochastic processes programming Robustness Mixed integer linear programming Sustainable development

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Minimum Capacity of Wind and Solar Energy Considering the Expansion of Hydro Power Plants

Minimum Capacity of Wind and Solar Energy Considering the Ex...

引用

international conference on Green Energy and Applications (ICGEA)

作者： Yuqi Wang Xiaolin Luo Huaying Su Yifan Lv Li Huang Yinliang Xu Xin Sui Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China China Institute of Water Resources and Hydropower Research Beijing China Power dispatching Control Center of Guizhou Power Grid Co. LTD Guiyang China Guizhou Wujiang Hydropower Development Ltd. Guiyang China

the pressure of low-carbon development drives the further integration of wind turbine (WT), photovoltaic units (PV) and hydro plants. the WT, PV and hydro plants in a certain area should be considered together as they have stong correlation. this paper proposes a two-stage stochastic programming model for the capacity planning of WT and PV in a hydro power system. the first stage is the capacity investment on the WT and PV while the second stage is the operation of power system considering hydro constraints. the scenarios in the stochastic programming are extracted from historical data. the model is in the mixed-integer bilinear formulation and solved by an iterative trial-and-error method. A power system in Southwest China is adapted as the test system. Different cases include the expansion of normal hydro plant (NHP), pumped storage hydro plant (PSHP) and NHP plus PSHP are considered. the results demonstrate that the NHP is more effective in reducing the capacity of WT and PV and the curtailment decreases with the integration of hydro plants.

关键词： Photovoltaic systems Uncertainty Wind energy Stochastic processes Solar energy programming Power systems

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A Study on Deploying Smart and Predictive Industry Maintenance System

A Study on Deploying Smart and Predictive Industry Maintenan...

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international conference on Trends in Electronics and Informatics (ICEI)

作者： Sarita Ambadekar Amodh Praveen Pandey Khushi Rajesh Singh Shriyans Shailesh Naik Computer Engineering K. J. Somaiya Institute of Technology Mumbai India

Rapid deterioration of maintenance strategies brings us to the focal point of building a strong and efficient maintenance system which can not only automatically maintain the assets but also predict the vulnerability of the asset in the future so as to give the company an idea of a future breakdown which might occur. Such maintenance systems will not only help the company in saving costs but also make the procedure of checking the assets much more streamlined. thus several research study of already existing maintenance systems were looked up and studied. these included the concepts of dynamic programming along with heuristic and genetic algorithms which were being used in an industry to assign relevant work to relevant technicians. RFID is used in the refining industry to the tree classification algorithms being implemented in the Railway maintenance system. Reading such research work gives us an idea of challenges that industries continue to face and what more could be done to eliminate the existing negatives in the maintenance system strategies.

关键词： Industries Refining Companies Maintenance engineering programming Market research Rail transportation

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An Evolutionary Metagraph Approach for Solving Problems in Complex Subject Areas

An Evolutionary Metagraph Approach for Solving Problems in C...

引用

international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Anatoly N. Nardid Stepan S. Vinnikov Alexey V. Orazov Yuriy E. Gapanyuk Information Processing and Management Systems Department Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

this paper explores the integration of metagraphs with genetic programming (GP), offering a novel perspective aimed at overcoming the limitations of traditional graph-based approaches. Metagraphs, providing an advanced abstraction over standard graphs, are examined for their potential to more efficiently encapsulate complex relationships and hierarchical structures. the focus is on how metagraphs can contribute to evolutionary algorithms by enriching the representation of problem spaces, potentially leading to improved adaptability and precision in solutions. We discuss the initial theoretical insights and potential benefits of this integration, positioning metagraphs as a promising tool for enhancing the effectiveness of evolutionary strategies. this exploration is intended to pave new research pathways in GP, proposing that metagraphs hold the potential to significantly augment the outcomes of evolutionary processes.

关键词： Power engineering Directed acyclic graph Genetic programming Evolutionary computation Benchmark testing Reproducibility of results Complexity theory Standards

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Urban Sustainable Development Solution for Irrigation Systems of Green Spaces Located on Buildings Based on a 3D Catalyst Immobilized on Fixed Support 1

引用

3rd international conference on Green Environmental Engineering and Technology (IConGEET) / 7th international conference on Green Design and Manufacture (IConGDM)

作者： Burlacu, Iasmina-Florina Deak, Gyorgy Favier, Lidia Urloiu, Irina Makhtar, Salwa Mohd Zaini Natl Inst Res & Dev Environm Protect Bucharest IN 294 Splaiul Independentei6th Dist Bucharest 060031 Romania Ecole Natl Super Chim Rennes CNRS ISCR UMR6226 F-35000 Rennes France Univ Malaysia Perlis Ctr Excellence Water Res & Environm Sustainable G Perlis 02600 Malaysia

ISBN: (数字)9789811679209

ISBN: (纸本)9789811679209;9789811679193

Green spaces located on buildings are an important part of urban environment, improving the quality of life through their aesthetic and functional advantages. However, they consume large amounts of resources from cities' water supply systems. Moreover, rapid urbanization and population growth amplifies the issue on clean water supply, increasing the necessity for efficient solutions enabling wastewater treatment and reuse. this paper focuses on demonstrating of an innovative wastewater treatment method, based on reusable catalyst materials on fixed supports, and their potential application to supply the irrigation scheme of the green spaces located on buildings. the investigations were conducted on a highly persistent organic compound, namely Clofibric Acid, frequently identified in urban wastewater in Europe. the obtained results confirmed that the 3D Hybrid Catalyst has a degradation efficiency of the compound up to 45% in visible light and up to 92% after 7 cycles of reuse, under UV irradiation.

关键词： Urban green spaces Wastewater reuse Reusable 3D catalytic materials AOPs wastewater treatment Sustainable development

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