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Bidirectional programming and software adaptation: Towards a happy marriage 双向编程和软件改编:迈向幸福婚姻
Zhenjiang Hu
Bidirectional transformations and bidirectional programming have been attracting a lot of attention lately, both in the programming languages community, and in the software engineering community. As bidirectional programming languages are growing more mature, they are getting easier to use for software engineers, more efficient, and more reliable. The strongest argument in favor of bidirectional programming is its ability to provide a synchronization mechanisms between a source and a view, that is guaranteed to be correct by construction. On the other hand, software adaptation is an ability to adapt at run-time to changing user needs, system intrusions or faults, and changing operational environment. In this talk, we shall explain the essence of bidirectional transformation, introduce a powerful language for bidirectional programming, and show how bidirectional programming can provide a powerful mechanism to modularize adaptive software. This mechanism would be very useful not only for reusing a adaptive software for different target systems, but also for maintaining separation of concerns when developing complex adaptive software.
双向转换和双向编程最近在编程语言社区和软件工程社区都引起了很多关注。随着双向编程语言越来越成熟,它们对软件工程师来说越来越容易使用,效率也越来越高,可靠性也越来越高。支持双向编程的最有力的论据是它能够在源和视图之间提供同步机制,通过构造保证其正确性。另一方面,软件适应是在运行时适应不断变化的用户需求、系统入侵或故障以及不断变化的操作环境的能力。在这次演讲中,我们将解释双向转换的本质,介绍一种强大的双向编程语言,并展示双向编程如何提供强大的机制来模块化自适应软件。这种机制不仅对于为不同的目标系统重用自适应软件非常有用,而且对于在开发复杂的自适应软件时保持关注点分离也非常有用。
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引用次数: 0
A multi-objective ensemble learning approach based on the non-dominated sorting differential evolution for forecasting currency exchange rates 基于非支配排序差分进化的多目标集成学习方法用于货币汇率预测
T. Dinh, V. Vu, L. Bui
Currency exchange rates forecasting is paid a considerable attention of the researchers in the field of forecasting. The neural network is a well-known tool in machine learning. However, two issues are always interested by the scientists: getting toward to global convergence of extreme solutions and determining the optimal weight of the network. This paper proposes the multi-objective method of ensemble learning techniques based on the non-dominated sorting differential evolution (NSDE, a kind of direction-based methods) for training neural networks and application in Foreign Exchange forecasting problems. Two objectives of the selected model are defined based on the Mean Squared Errors and Diversity respectively, in which we used the concept of fitness-sharing based diversity. We experimented the model on four data sets of currency and compared with some of the others that the research community has announced. Through the performance forecasting indicators to show that our new method gives outstanding forecasting results.
货币汇率预测一直是预测领域研究人员十分关注的问题。神经网络是机器学习中一个众所周知的工具。然而,有两个问题一直是科学家们感兴趣的:极值解的全局收敛和网络最优权值的确定。本文提出了一种基于非支配排序差分进化(non- dominant sorting differential evolution, NSDE,一种基于方向的方法)的多目标集成学习方法,用于神经网络的训练并应用于外汇预测问题。所选模型的两个目标分别基于均方误差和多样性定义,其中我们使用了基于健身共享的多样性概念。我们在四个货币数据集上实验了这个模型,并与研究界已经公布的其他一些数据集进行了比较。通过业绩预测指标表明,新方法具有较好的预测效果。
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引用次数: 6
Classification of Multichannel EEG Signal by Linear Discriminant Analysis 基于线性判别分析的多通道脑电信号分类
M. R. Hasan, M. Ibrahimy, S. Motakabber, S. Shahid
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引用次数: 23
Knowledge and Systems Engineering - Proceedings of the Sixth International Conference KSE 2014, Hanoi, Vietnam, 9-11 October 2014 知识与系统工程-第六届国际会议论文集KSE 2014,河内,越南,2014年10月9-11日
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引用次数: 0
Personal Authentication Using Relevance Vector Machine (RVM) for Biometric Match Score Fusion 基于相关向量机(RVM)的生物特征匹配分数融合个人身份认证
Tran Binh Long, L. H. Thai
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引用次数: 3
Titan Science Return Quantification 泰坦科学回报量化
C. Weisbin, W. Lincoln
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引用次数: 1
Progress in Systems Engineering - Proceedings of the Twenty-Third International Conference on Systems Engineering, ICSEng 2014, Las Vegas, NV, USA, August 19-21, 2014 系统工程进展-第二十三届系统工程国际会议论文集,ICSEng 2014,拉斯维加斯,内华达州,美国,2014年8月19-21日
H. Selvaraj, D. Zydek, G. Chmaj
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引用次数: 17
Semantic Regions Recognition in UAV Images Sequence 无人机图像序列语义区域识别
Stéphane Lathuilière, Hai Vu, Thi-Lan Le, Thanh-Hai Tran, D. T. Hung
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引用次数: 2
Rule Induction Based on Logic Synthesis Methods 基于逻辑综合方法的规则归纳
G. Borowik, A. Krasniewski, T. Luba
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引用次数: 7
Vulnerability evaluation of multiplexing PUF for SVM attacks 多路PUF对SVM攻击的脆弱性评估
S. Kiryu, K. Asahi, M. Yoshikawa
{"title":"Vulnerability evaluation of multiplexing PUF for SVM attacks","authors":"S. Kiryu, K. Asahi, M. Yoshikawa","doi":"10.1007/978-3-319-08422-0_31","DOIUrl":"https://doi.org/10.1007/978-3-319-08422-0_31","url":null,"abstract":"","PeriodicalId":93818,"journal":{"name":"The ... International Conference on Knowledge and Systems Engineering. International Conference on Knowledge and Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84335412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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The ... International Conference on Knowledge and Systems Engineering. International Conference on Knowledge and Systems Engineering
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