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

共 3536 条记录，以下是371-380 订阅

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pARt Blocks: programming with Physical Tangible Blocks and AR 7

pARt Blocks: Programming with Physical Tangible Blocks and A...

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7th Human-Computer Interaction Slovenia conference, HCI SI 2022

作者： Trajkovska, Karolina Pucihar, Klen Čopič Kljun, Matjaž Deja, Jordan Aiko Weerasinghe, Maheshya University of Primorska Faculty of Mathematics Natural Sciences and Information Technologies Koper Slovenia Faculty of Information Studies Novo Mesto Slovenia De La Salle University Manila Philippines University of St Andrews St Andrews United Kingdom

Computer programming is a demanding task requiring users to understand a syntax of a programming language, logic flows, and complex abstract concepts. Adult users commonly start learning how to program in a text-based programming environment. However, such tools are not optimal for children as they require understanding of a high level of abstraction. Instead, visual programming languages were developed to hide the syntax and error messages, but are still capable to teach concepts such as parallelism and event handling. Despite, these languages still require children to handle virtual block-like elements on a computer screen. In this research, we examine the feasibility of teaching young children programming using physical blocks coupled with Augmented Reality (AR). To this end, we conducted a between subject design study with 8 participants. We compared a traditional 2D desktop application for visual programming to a 3D setting with tangible physical programming blocks coupled with a Head Mounted Device displaying programming results as AR content. the preliminary results show that the immersive 3D learning environment scored better in mental effort, task completion time, performance and subjective user satisfaction. the results should be validated with a larger sample size. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Augmented reality

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Time-Efficient USV Path Planning Based on Weighted Dynamic programming

Time-Efficient USV Path Planning Based on Weighted Dynamic P...

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international conference on Artificial Intelligence and Big Data (ICAIBD)

作者： Chaofan Duan Lijuan Wang Hui Wang Xuechun Wang Ye Peng Academy of Information and Communication National University of Defense Technology Wuhan China College of Electrical Engineering Naval University of Engineering Wuhan China

ISBN: (数字)9798350385106

ISBN: (纸本)9798350385113

Unmanned surface vehicle plays an important role in the implementation of ocean tasks based on its autonomous navigation ability, flexibility, cost-efficiency, and strong adaptability. As the core component of the autonomous navigation capability of USV, path planning is an essential guarantee for safe voyage in an unknown ocean environment. In this paper, a time-efficient USV path planning algorithm based on weighted dynamic programming (WDP) is proposed. the proposed algorithm first discrete the continuous area using direction oriented grid structure method, and all the grids are potential path selection candidates. then, considering the ocean environment factors of the target area, the weighted dynamic planning algorithm is proposed for USV path planning, which aims at generating a safe and time-efficient path. At the same time, the virtual potential field method is applied for the need of sudden dangerous situations for obstacles avoidance. the simulation results show that the weighted dynamic programming algorithm is able to generate a time-efficient path and verified the correctness and superiority of the proposed algorithm.

关键词： Sea surface Heuristic algorithms Simulation Force Path planning Dynamic programming Planning

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Routing Optimization of Electric Vehicles Under Uncertain Travel Time

Routing Optimization of Electric Vehicles Under Uncertain Tr...

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

作者： Shijie Lai School of management Shanghai University Shanghai China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

With the rapid development of urban logistics and express delivery industry, green logistics has gradually become a hot topic. Many logistics companies have used electric logistics vehicles to replace traditional fuel vehicles for urban distribution. At the same time, people now have higher requirements for the timeliness of transportation, but there are various uncertain factors in the traffic road. this paper considers the uncertain travel time of vehicles, and constructs the routing optimization model of electric vehicles. An Adaptive Large-Scale Neighborhood Search Algorithm (ALNS) is developed to solve the routing planning problem which is more realistic.

关键词： Integer programming Uncertainty Costs Roads Transportation Routing Electric vehicles

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A Method for Regional Crowd Flow Prediction Based on Crowd Number Estimation Network

A Method for Regional Crowd Flow Prediction Based on Crowd N...

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Machine Learning and Natural Language Processing (MLNLP), international conference on

作者： Yizu Li Jing Luo Xiangbin Kong Yang Liu Dong Fei Yan Wang Wei Tang Chenxuan Zhang Research and Development department CRSC Communication&Information Corporation Beijing China

ISBN: (数字)9798350354973

ISBN: (纸本)9798350354980

this paper presents a novel method for predicting crowd flow in various scenarios, such as workplaces, corporate campuses, and train stations, using a multi-task attention-based network, CNE-CBAM. the method first constructs a topological map of the scene using an adjacency matrix to model connections between different regions. the crowd number estimation network predicts the number of people in each area, leveraging attention mechanisms to enhance accuracy. To estimate crowd flow between regions, a linear programming model is applied, optimizing the flow of people based on movement data. Experiments conducted demonstrate the high accuracy of the model. this method offers valuable insights for optimizing space planning, safety measures, and operational efficiency in crowded public areas.

关键词： Accuracy Databases Estimation Predictive models Linear programming Data models Safety Space stations Testing Synthetic data

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An Aircraft Structural Component Process Route Recommendation Engine Based on ANN-LCS Algorithm

An Aircraft Structural Component Process Route Recommendatio...

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Computer Information Science and Application Technology (CISAT), international conference on

作者： Linhao Qin Dewei Fu Zhenjun Ming Hongpeng Zhang Hu Lu Qiang Li Baoguo Chen Qin Wen Mengmin Xu Ruiqiang Lyu SME Beijing Institute of Technology Beijing China SAMC Commercial Aircraft Corporation of China Ltd Shanghai China Division for Industrial Software AVIC Manufacturing Technology Institute Beijing China

ISBN: (数字)9798350375107

ISBN: (纸本)9798350375114

A process route recommendation engine for aviation structural components based on ANN-LCS algorithm is introduced. By processing the machining process knowledge of aviation structural components, defining their basic information and process route data, and then constructing and training an ANN (Artificial Neural Network) to classify parts. Based on part classification, the LCS (Longest Common Substring) algorithm based on dynamic programming is used to generate process routes. through the testing of process route recommendation examples, the results show that this method can effectively obtain and select feasible process routes in the process design stage.

关键词： Process design Knowledge engineering Training Heuristic algorithms Artificial neural networks Dynamic programming Classification algorithms Personnel Engines Testing

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Large Disturbance Stability Analysis of DC Microgrid with Constant Power Load Based on Sum of Square programming Estimating Attraction Domain

Large Disturbance Stability Analysis of DC Microgrid with Co...

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

作者： Yongxiang Cai Yang Wang Huajun Zheng Yutao Xu Molin He Xiankui Wen Electric Power Research Institute Guizhou Power Grid Co. Ltd Guiyang China School of Electrical Engineering Guizhou University Guiyang China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

In DC microgrids, constant power loads with negative impedance characteristics are prone to instability when the DC bus voltage is subjected to large disturbances. To ensure the stable operation of DC microgrids with constant power loads under large disturbance conditions, this paper proposes a large disturbance stability analysis method based on sum of square programming to estimate the maximum attraction domain. Firstly, a typical DC microgrid is simplified and its equivalent average mathematical model is established. Secondly, based on the sum of squares programming method, the domain of attraction of the DC microgrid with a constant power load is estimated. then, the stability of this system under large disturbance conditions is analyzed based on the domain of attraction, and the influence of the system parameters on stability is studied. Finally, time-domain simulation based on MATLAB/Simulink verified the effectiveness of the proposed method in stability analysis and the correctness of the conclusions on the impact of system parameters on stability analysis.

关键词： Power filters Power engineering Inductance Microgrids Voltage programming Stability analysis

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Switching Harmonic Attenuation of Grid-Tied Converters Using LLCL Filters and MPC-SVPWM

Switching Harmonic Attenuation of Grid-Tied Converters Using...

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China international Electrical and Energy conference (CIEEC)

作者： Muhamamd Waqas Qaisar Jingyang Fang Wenrui Li School of Control Science and Engineering Shandong University Jinan China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

this paper introduces an enhancement in grid-tied converter technology by incorporating a Model Predictive Control (MPC)-based space vector pulse width modulation (SVPWM) along with an advanced $LLCL$ filter. this approach aims to improve the conversion efficiency in grid-tied applications to three-phase ac, offering better harmonic attenuation than standard $LC$ and $LCL$ filters. the implementation of dual-mode control for dc voltage stabilization and the use of quadratic programming for inverter switching optimization is proposed to reduce switching losses, thereby augmenting system efficiency. Comparative simulations demonstrate a measurable efficiency improvement over traditional linear inverter methods, indicating a notable advancement in grid-tied converter technology, especially in terms of harmonic reduction and overall system performance enhancement.

关键词： Space vector pulse width modulation System performance Switching loss Switches Harmonic analysis Inverters Quadratic programming

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A Modified Sufficient Descent Spectral Conjugate Gradient Method for Minimization 7

A Modified Sufficient Descent Spectral Conjugate Gradient Me...

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7th international conference on Contemporary Information Technology and Mathematics, ICCITM 2021

作者： Seaad, Hamsa th. Khaleel, Elaf Sulaiman Ahmed, Huda I. Hamed, Eman T. College of Computers Sciences and Mathematics University of Mosul Department of Mahematics Mosul Iraq College of Computers Sciences and Mathematics University of Mosul Department of Operation Research and Intelligent Techniques Mosul Iraq

ISBN: (纸本)9781665420327

We developed a new three-Term conjugate gradient method (C.G.M)in this study. Under certain conditions, this approach achieves the desired descent direction while also being globally convergent. On the basis of the Dolan-More performance profile, these results show that this method outperforms the alternative standard method © 2021 IEEE.

关键词： Nonlinear programming

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Improvement Google Classroom Feature to Make It More Comfortable to Use with Google App Script 7

Improvement Google Classroom Feature to Make It More Comfort...

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7th international conference on Electrical, Electronics and Information Engineering (ICEEIE)

作者： Firmansyah, Feri Hidayatullah Sari, Intan Permata Univ Pendidikan Indonesia Multimedia Educ Bandung Indonesia

ISBN: (纸本)9781665432320

the government supports the development of learning models by adjusting to the era of the industrial revolution 4.0. Universitas Pendidikan Indonesia (UPI) is one of the leading universities in Indonesia has implemented a curriculum that is adaptive to the dynamic changing times. Industrial revolution 4.0 impacted the learning patterns of teachers in managing the classroom to the introduction of learning 4.0 by the government currently at the Indonesian Education University, the distance learning process realized for approximately one year. Some of the problems encountered when online learning succeed are the various learning media those distracting students by adjusting the learning platform by the lecturer who teaches. this research is one of the implementations of the research roadmap on distance learning in the 4.0 learning era. UPI has provided a SPOT Learning Management System (LMS)where lecturers and students use it in the learning process. One of the other LMS available at UPI is Google Suits such as google calendar, classroom, meet, form, youtube, drive Documents, and spreadsheet where features in it make it easier for lecturers and students to study online. the weakness of this G-Suits is that the features it provides are separate so that when the lecturer is going to use it, they must be skilled in using it. this study aims to designing and developing a practical learning system that can support the online learning process at UPI.

关键词： Pratica Distance Learning Web programming Google Learning Management System

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Combining Escape Rooms and Google Forms to Reinforce Python programming Learning 7th

Combining Escape Rooms and Google Forms to Reinforce Python ...

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7th international conference on Science, Technology and Innovation for Society, CITIS 2021

作者： Llerena-Izquierdo, Joe Sherry, Loqui-Larroza Universidad Politécnica Salesiana Guayaquil Ecuador

ISBN: (纸本)9789811641251

this research presents a gamification proposal using Escape Rooms as a strategy to reinforce learning in classes covering programming in Python, for students in their first years at the Universidad Politécnica Salesiana. the participants of the study, a population of 80 students from two classes from the computer engineering major, ages 17–21, are challenged to complete four different scenarios developed with Google Forms and incorporating videos, QR codes, and questions related to the Python programing language, with the goal of completing a sentence at the end of the four Escape Rooms, that leaves a mark of teamwork. An empirical–analytical methodology was used, with a quasi-experimental quantitative approach using the survey technique, with a confidence level of 95% and a margin of error of 2%. the results showed high levels of interest, attention, and anxiety while participating in the gamification activity. It was determined that 99% of participants would recommend this methodology for use in other classes to stimulate academic reinforcement, and 78% of participants stated that they discover new knowledge while completing the activity. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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