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Message from the program chairs of icse 2020 来自icse 2020项目主席的信息
J. Cleland-Huang, D. Marinov
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引用次数: 4
Prototype System of Solar Tracking Design to Optimize the Energy Absorption Based on Arduino 基于Arduino优化能量吸收的太阳能跟踪设计原型系统
A. Wenda, Rendy Dwi Putra
This research optimizes the absorption of solar energy in solar panels by designing mechanical systems that can move solar panels in the direction of incoming sunlight. Light-sensitive sensors are used to track the sun. The solar tracking system is designed using two axes, namely rotation axis and the tilt axis. Both axes are driven by servo motors based on light-sensitive sensors. The system was developed using an ATmega328 microcontroller unit. The test results found that using solar tracking the amount of energy produced was greater than static solar panels. Radiation generated between solar tracking and static sun can increase by 55.2%.
这项研究通过设计机械系统,使太阳能板朝着入射阳光的方向移动,从而优化了太阳能板对太阳能的吸收。光敏传感器用于跟踪太阳。太阳跟踪系统采用旋转轴和倾斜轴两轴进行设计。两个轴都由基于光敏传感器的伺服电机驱动。该系统是使用ATmega328微控制器开发的。测试结果发现,使用太阳能跟踪产生的能量量大于静态太阳能电池板。太阳跟踪与静态太阳之间产生的辐射可以增加55.2%。
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引用次数: 0
ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June - 19 July, 2020 ICSE '20:第42届软件工程国际会议,研讨会,韩国首尔,2020年6月27日至7月19日
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引用次数: 0
ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June - 19 July, 2020 ICSE '20:第42届软件工程国际会议,伙伴卷,韩国首尔,2020年6月27日至7月19日
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引用次数: 1
MaCA: a Multi-agent Reinforcement Learning Platform for Collective Intelligence MaCA:集体智能的多智能体强化学习平台
Gao Fang, Chen Si, Li Mingqiang, H. Bincheng
Heterogeneous multi-agent cooperative decisionmaking is one of the kernel problems in collective intelligence field. Reinforcement learning may be an effective technology to improve this research. An appropriate training environment is a necessary condition for intensive training effectively. In this study, a scalable multi-agent reinforcement training platform called MaCA was built to improve reinforcement learning effectiveness for heterogeneous collective cooperative decision making. First, a kernel environment aimed electromagnetism military combat background was established as the basis of the platform. Second, a set of reinforcement learning interface was designed for reinforcement learning algorithm adapting. Third, a reinforcement learning agent based on MARL algorithm and a rule-based agent were implemented. Finally, an experiment for training and rivalry was conducted to evaluate the effectiveness of the platform. The experimental results show that after trained in MaCA, the MARL agent shows certain cooperation ability and achieved 100% win rate against the rule-based agent after hundreds of thousands of training iteration. The results demonstrate that MaCA is a suitable and effective environment of multi-agent decision training in heterogeneous reinforcement learning.
异构多智能体协同决策是集体智能领域的核心问题之一。强化学习可能是改进这一研究的有效技术。适当的训练环境是有效强化训练的必要条件。本研究构建了一个可扩展的多智能体强化训练平台MaCA,以提高异构集体合作决策的强化学习效果。首先,建立了一个针对电磁军事作战背景的内核环境作为平台的基础。其次,设计了一套适应强化学习算法的强化学习接口;第三,实现了基于MARL算法的强化学习智能体和基于规则的智能体。最后,通过训练和比赛实验对平台的有效性进行了评价。实验结果表明,经过MaCA训练后,MARL智能体表现出一定的协作能力,经过数十万次的训练迭代,MARL智能体对基于规则的智能体的胜率达到100%。结果表明,MaCA是一种适合于异构强化学习中多智能体决策训练的有效环境。
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引用次数: 5
Crowdsourcing in software engineering: models, motivations, and challenges 软件工程中的众包:模型、动机和挑战
D. Thomas
Over the past several years, crowdsourcing has entered software engineering practice. While most work is still done through traditional development, contract development, and outsourcing, software projects today increasingly use crowdsourcing for a variety of purposes, including fixing defects, testing their software, or gathering alternative designs for a new user interface. Through mechanisms such as competition sites, expertise sharing sites, bug bounties, and online labor markets, crowdsourcing has begun to reshape the ways in which developers contribute to software projects. This talk explores the models of crowdsourcing that have been applied to software development to date and outlines some of the opportunities that exist for the future.
在过去的几年里,众包已经进入了软件工程实践。虽然大多数工作仍然是通过传统的开发、合同开发和外包来完成的,但今天的软件项目越来越多地使用众包来实现各种目的,包括修复缺陷、测试软件或收集新用户界面的替代设计。通过竞争网站、专业知识共享网站、bug奖励和在线劳动力市场等机制,众包已经开始重塑开发人员为软件项目做出贡献的方式。本次演讲探讨了迄今为止应用于软件开发的众包模式,并概述了未来存在的一些机会。
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引用次数: 27
Message from the SEIP Chairs of ICSE 2022 来自ICSE 2022 SEIP主席的信息
M. Harman, H. Miller
December 13th for final decisions. Talks and interactive sessions were reviewed in two phases: the first phase involved review of a two-page abstract by at least three PC members. After an online discussion, a select group of authors were invited to submit complete talk descriptions to a second phase. After the second phase review and online discussion, the PC chairs made final decisions on January 22nd. We are deeply grateful to the PC for the large amount of effort and care that they put into their reviews and discussions.
12月13日为最终决定。讲座和互动环节分两个阶段进行检讨:第一阶段由至少三名政务院委员审阅一份两页的摘要。经过在线讨论后,一组选定的作者被邀请提交完整的演讲描述到第二阶段。经过第二阶段的审查和在线讨论,PC主席于1月22日做出了最终决定。我们对PC在审查和讨论中付出的大量努力和关心深表感谢。
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引用次数: 0
Release synchronization in software ecosystems 软件生态系统中的发布同步
Foundjem Armstrong
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引用次数: 5
Task-Level Time-Optimal Machining Path Planning for Grinding Manipulators 磨削机械手任务级时优加工路径规划
Diao Shipu, Chen Xindu, Wu Lei
A computational framework that can plan the task-level time-optimal machining path (TOMP) of grinding manipulators is constructed based on an improved simulated annealing (SA) algorithm. When there are multiple discrete non-interconnected grinding areas on the workpiece surface that need to be polished by the grinding manipulators, the planning of TOMP for a given grinding task is important. Although many existing algorithms can be used to solve the problem, the planning of task-level TOMP is more time-consuming when the number of processing path points on the machining path increases. This paper proposes a task-level TOMP planning framework to planning a task-level time-optimal machining path for grinding manipulators. Its key point is to preprocess the weighted distance between any two processing path points. Its innovation lies in that the SA algorithm updates the current optimal global solution in real time based on parallel subchain interaction method(PSIM). The experimental results show that the planning framework can effectively solve the task-level TOMP planning problem with multiple grinding areas, and the process of planning the task-level TOMP is significantly less time-consuming without degrading the quality of the solution. (Abstract)
基于改进的模拟退火算法,构建了磨削机械手任务级时间最优加工路径规划的计算框架。当工件表面存在多个离散且不相互连接的磨削区域需要磨削机械手进行抛光时,针对给定的磨削任务进行TOMP规划是非常重要的。虽然已有许多算法可用于解决该问题,但当加工路径上的加工路径点数量增加时,任务级TOMP的规划更加耗时。提出了一种任务级TOMP规划框架,用于规划磨削机械手的任务级时优加工路径。其关键是对任意两个处理路径点之间的加权距离进行预处理。该算法的创新之处在于基于并行子链交互方法(PSIM)实时更新当前全局最优解。实验结果表明,该规划框架能够有效地解决多磨削区域的任务级TOMP规划问题,在不降低求解质量的前提下,显著缩短了任务级TOMP规划过程的耗时。(抽象)
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引用次数: 0
Scientific Prototyping: A Novel Approach to Conduct Research and Engineer Products 科学原型:一种进行研究和工程产品的新方法
Manasés Jesús Galindo Bello
Different methodologies have been used over the years to conduct research and develop products. Albeit all the methods specify a particular and mostly lineal set of steps, in real practice they might not be followed to the letter and some shortcuts can be taken. This paper presents the definition of a nonlinear and iterative framework to conduct research. It is also an user-focused and science-based approach whose main goals are observation, definition of ideas based on user needs, sharp validation or disproval of the ideas aiming to deliver and launch a quality product.
多年来,不同的方法被用于进行研究和开发产品。尽管所有的方法都指定了一组特定的、大部分是线性的步骤,但在实际实践中,它们可能不会被完全遵循,可以采取一些捷径。本文提出了一个非线性迭代框架的定义来进行研究。它也是一种以用户为中心,以科学为基础的方法,其主要目标是观察,根据用户需求定义想法,对旨在交付和推出高质量产品的想法进行尖锐的验证或反驳。
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引用次数: 1
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Proceedings - International Conference on Software Engineering. International Conference on Software Engineering
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