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38 results on '"Zhang, Daiyu"'

1. Exploring the law of text geographic information

Author

Wang, Zhenhua, Zhang, Daiyu, Ren, Ming, and Xu, Guang

Subjects
Computer Science - Computation and Language
Abstract

Textual geographic information is indispensable and heavily relied upon in practical applications. The absence of clear distribution poses challenges in effectively harnessing geographic information, thereby driving our quest for exploration. We contend that geographic information is influenced by human behavior, cognition, expression, and thought processes, and given our intuitive understanding of natural systems, we hypothesize its conformity to the Gamma distribution. Through rigorous experiments on a diverse range of 24 datasets encompassing different languages and types, we have substantiated this hypothesis, unearthing the underlying regularities governing the dimensions of quantity, length, and distance in geographic information. Furthermore, theoretical analyses and comparisons with Gaussian distributions and Zipf's law have refuted the contingency of these laws. Significantly, we have estimated the upper bounds of human utilization of geographic information, pointing towards the existence of uncharted territories. Also, we provide guidance in geographic information extraction. Hope we peer its true countenance uncovering the veil of geographic information., Comment: IPM

Published
2023

2. Modeling the Rhythm from Lyrics for Melody Generation of Pop Song

Author

Zhang, Daiyu, Wang, Ju-Chiang, Kosta, Katerina, Smith, Jordan B. L., and Zhou, Shicen

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
Abstract

Creating a pop song melody according to pre-written lyrics is a typical practice for composers. A computational model of how lyrics are set as melodies is important for automatic composition systems, but an end-to-end lyric-to-melody model would require enormous amounts of paired training data. To mitigate the data constraints, we adopt a two-stage approach, dividing the task into lyric-to-rhythm and rhythm-to-melody modules. However, the lyric-to-rhythm task is still challenging due to its multimodality. In this paper, we propose a novel lyric-to-rhythm framework that includes part-of-speech tags to achieve better text setting, and a Transformer architecture designed to model long-term syllable-to-note associations. For the rhythm-to-melody task, we adapt a proven chord-conditioned melody Transformer, which has achieved state-of-the-art results. Experiments for Chinese lyric-to-melody generation show that the proposed framework is able to model key characteristics of rhythm and pitch distributions in the dataset, and in a subjective evaluation, the melodies generated by our system were rated as similar to or better than those of a state-of-the-art alternative., Comment: Published in ISMIR 2022

Published
2023

7. Research on optimization of blended-wing-body underwater glider based on combined optimization algorithm

Author

LING Hongjie, WANG Zhidong, ZHANG Bei, ZHANG Daiyu, and AN Shuai

Subjects
翼身融合水下滑翔机, 水动力评估, 参数化建模, 组合优化算法, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

为实现水下滑翔机低功耗、长航程的目标, 提高水下滑翔机升阻比是切实可行的手段之一。采用翼身融合布局设计了一款翼身融合水下滑翔机(blended-wing-body underwater glider, BWBUG), 利用NURBS样条曲线构建BWBUG的精细化参数模型, 以升阻比为优化目标, 运用组合优化算法, 开展BWBUG的多参数优化研究, 建立优化算法与黏流软件接口, 优化过程中直接耦合调用水动力计算, 大大提高了优化效率。结果表明, 优化后的BWBUG模型升力系数提升了0.58%, 阻力系数降低了10.22%, 升阻比提升12.01%, 水动力综合性能提升11.99%。文中所建立的优化方法对提高水下航行器构型优化具有重要的指导意义。

Published
2022
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17. 城市轨道交通既有车辆段信号系统改造的联锁接口方案.

Author

JIN Guofeng and ZHANG Daiyu

Abstract

Copyright of Urban Mass Transit is the property of Urban Mass Transit Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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38. A parallel bi-level multidisciplinary design optimization architecture with convergence proof for general problem.

Author

Zhang, Daiyu, Song, Baowei, and Wang, Peng

Subjects
*MULTIDISCIPLINARY design optimization, *OPTIMAL designs (Statistics), *STOCHASTIC convergence, *NONLINEAR equations, *PARALLEL processing
Abstract

Quite a number of distributed Multidisciplinary Design Optimization (MDO) architectures have been proposed for the optimal design of large-scale multidisciplinary systems. However, just a few of them have available numerical convergence proof. In this article, a parallel bi-level MDO architecture is presented to solve the general MDO problem with shared constraints and a shared objective. The presented architecture decomposes the original MDO problem into one implicit nonlinear equation and multiple concurrent sub-optimization problems, then solves them through a bi-level process. In particular, this architecture allows each sub-optimization problem to be solved in parallel and its solution is proven to converge to the Karush–Kuhn–Tucker (KKT) point of the original MDO problem. Finally, two MDO problems are introduced to perform a comprehensive evaluation and verification of the presented architecture and the results demonstrate that it has a good performance both in convergence and efficiency. [ABSTRACT FROM AUTHOR]

Published
2017
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