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2023 Asia-Europe Conference on Electronics, Data Processing and Informatics, ACEDPI 2023

作者： Shen, Wei Wuhan International Trade University Hubei Wuhan430205 China

ISBN: (纸本)9798350301151

Background music is a kind of music, which is used in many occasions, such as movies, short videos, etc. How to choose the most suitable background music to match with the corresponding scenes has important practical application value. With the popularity of short video platform, more and more Internet users choose to share their life bits and pieces through short video. As an indispensable part of short video, the background music of video plays a very important role in setting off the video atmosphere and expressing users' emotions. However, as far as the current research on automatic music generation is concerned, at present, the background music styles of most short video platforms are similar and lack of new ideas, and they all focus on simply generating music, and learning one or more styles of music to output music with similar styles. The background music used as the background of video, that is, music, has little correlation with other multimedia content. The design of video background music generation algorithm based on music feature matching algorithm can automatically generate background music for video with high efficiency and high quality. © 2023 IEEE.

关键词： background music Feature matching generative algorithm

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SYNCOPATION AND GROOVE IN POLYPHONIC MUSIC: PATTERNS MATTER

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MUSIC PERCEPTION 2022年第5期39卷 503-531页

作者： Sioros, George Madison, Guy Cocharro, Diogo Danielsen, Anne Gouyon, Fabien Univ Oslo Oslo Norway Univ Umea Umea Sweden INESC TEC Porto Portugal

MUSIC OFTEN EVOKES A REGULAR BEAT AND A pleasurable sensation of wanting to move to that beat called groove. Recent studies show that a rhythmic pattern's ability to evoke groove increases at moderate levels of syncopation, essentially, when some notes occur earlier than expected. We present two studies that investigate that effect of syncopation in more realistic polyphonic music examples. First, listeners rated their urge to move to music excerpts transcribed from funk and rock songs, and to algorithmically transformed versions of these excerpts: 1) with the original syncopation removed, and 2) with various levels of pseudorandom syncopation introduced. While the original excerpts were rated higher than the de-syncopated, the algorithmic syncopation was not as successful in evoking groove. Consequently, a moderate level of syncopation increases groove, but only for certain syncopation patterns. The second study provides detailed comparisons of the original and transformed rhythmic structures that revealed key differences between them in: 1) the distribution of syncopation across instruments and metrical positions, 2) the counter-meter figures formed by the syncopating notes, and 3) the number of pickup notes. On this basis, we form four concrete hypotheses about the function of syncopation in groove, to be tested in future experiments.

关键词： groove syncopation predictive coding meter generative algorithm

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Data Mining Approach for Evil Twin Attack Identification in Wi-Fi Networks

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DATA 2024年第10期9卷 119页

作者： Banakh, Roman Nyemkova, Elena Justice, Connie Piskozub, Andrian Lakh, Yuriy Lviv Polytech Natl Univ Dept Informat Technol Secur UA-79013 Lvov Ukraine Purdue Univ Indianapolis Purdue Sch Engn & Technol Indiana Univ Indianapolis IN 46202 USA

Recent cyber security solutions for wireless networks during internet open access have become critically important for personal data security. The newest WPA3 network security protocol has been used to maximize this protection;however, attackers can use an Evil Twin attack to replace a legitimate access point. The article is devoted to solving the problem of intrusion detection at the OSI model's physical layers. To solve this, a hardware-software complex has been developed to collect information about the signal strength from Wi-Fi access points using wireless sensor networks. The collected data were supplemented with a generative algorithm considering all possible combinations of signal strength. The k-nearest neighbor model was trained on the obtained data to distinguish the signal strength of legitimate from illegitimate access points. To verify the authenticity of the data, an Evil Twin attack was physically simulated, and a machine learning model analyzed the data from the sensors. As a result, the Evil Twin attack was successfully identified based on the signal strength in the radio spectrum. The proposed model can be used in open access points as well as in large corporate and home Wi-Fi networks to detect intrusions aimed at substituting devices in the radio spectrum where IEEE 802.11 networking equipment operates.

关键词： data machine learning model KNN generative algorithm intrusion detection IEEE 802.11 Evil Twin attack

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Data-driven design of deployable structures: Literature review and multi-criteria optimization approach

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CURVED AND LAYERED STRUCTURES 2021年第1期8卷 241-258页

作者： Dragoljevic, Milan Viscuso, Salvatore Zanelli, Alessandra Politecn Milan Dept Architecture Built Environm & Construct Engn Via Ponzio 31 I-20133 Milan Italy

Classification and development of the deploy-able structures is an ongoing process that started at the end of 20th century and is getting more and more attention throughout 21st. With the development of the technology, constructive systems and materials, these categorizations changed - adding new typologies and excluding certain ones. This work is giving a critical review of the work done previously and on the change of the categories. The special interest is given to the pantographs (or scissor structures) and the Zeigler's dome as the form of their application. It is noticeable that after its introduction in 1977, the dome was a part of the initial classification, but with the time it lost its place. The reason for this is the introduction of more efficient scissor dome structures. However, perhaps with the use of data-driven design, this dome can be optimized and become relevant again. The second part of the paper is dedicated to the development of the structural optimization algorithm for panto-graph structures and its application on the example of Zei-gler's dome. Besides the direct analysis, the final part in-cludes the generative optimization algorithm which could help to a decision-maker in the early stages of the design to understand and select the options for the structure.

关键词： deployable structures classification pantographs Zeigler's dome scissor mechanism deployable dome structural optimization generative algorithm

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Integration of parametric design into modular coordination: A construction waste reduction workflow

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AUTOMATION IN CONSTRUCTION 2018年 88卷 1-12页

作者： Banihashemi, Saeed Tabadkani, Amir Hosseini, M. Reza Univ Canberra Fac Arts & Design Canberra ACT Australia Politecn Milan Dept Bldg & Architectural Engn Milan Italy Deakin Univ Sch Architecture & Built Environm Geelong Vic Australia

The construction industry is under pressure as to reduce the sizable quantities of construction waste generated during construction operations. Modular coordination (MC) and parametric design both have great potentials in reducing waste at the design stage. And anecdotal evidence suggests that great volumes of waste can be reduced through integration of parametric design into MC. The issue of proposing workflows in this context, however, is under-researched, and practical applications, if any, are at the rhetorical stage. To accomplish this, an integration attempt is made in this study to provide the details of a developed-and-experimented workflow for this purpose;a generative algorithm is developed through the Rhinoceros 3D-Grasshopper platform, subject to MC rules. Two sets of horizontal and vertical modules are obtained from a prototype model, while an evolutionary solver function is applied in reducing the generated construction waste volume. According to a pre-defined standard specification, different modular design variants that fully conform to the design constraints in modules array are developed, providing an operational workflow in construction waste reduction at the design stage. Introducing this workflow, and how the proposed workflow reduces the volume of post-optimization paneling waste by 2% at its minimum are the major findings here. The insights derived from this study, would promote the interest of both the construction practitioners and researchers;the practicality of integrating parametric design into MC is proven.

关键词： Waste reduction Design stage Parametric design Modular coordination (MC) generative algorithm BIM Workflow

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Generating Constructal Networks for Area-to-Point Conduction Problems Via Moving Morphable Components Approach

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JOURNAL OF MECHANICAL DESIGN 2019年第5期141卷 051401-051401页

作者： Li, Baotong Xuan, Chengbin Liu, Guoguang Hong, Jun Xi An Jiao Tong Univ Sch Mech Engn Educ Minist Modern Design & Rotor Bearing Syst Key Lab Xian 710049 Shaanxi Peoples R China

In this article, we focus on a generative design algorithm for area-to-point (AP) conduction problems in a Lagrangian framework. A physically meaningful continuous area to point path solution is generated through an adaptive growth procedure, which starts from the source point and extends spreading the whole conduction domain. This is achieved by using a set of special moving morphable components (MMCs) whose contour and skeleton are described explicitly by parameterized level-set surfaces. Unlike in the conventional methods where topology optimization was carried out in an Eulerian framework, the proposed optimizer is Lagrangian in nature, which is consistent with classical shape optimization approaches, giving great potential to reduce the total number of design variables significantly and also yielding more flexible modeling capability to control the structural feature sizes. By doing this, the growth elements are separated from the underlying finite element method (FEM) grids so that they can grow toward an arbitrary direction to form an optimized area-to-point path solution. The method is tested on an electromagnetic bandgap (EBG) power plane design example;both simulation and experiment verified the effectiveness of the proposed method.

关键词： generative algorithm topology optimization area-to-point problem moving morphable component (MMC) EBG power plane design

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A generative Approach to Chinese Shanshui Painting

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IEEE COMPUTER GRAPHICS AND APPLICATIONS 2017年第1期37卷 15-19页

作者： Shi, Weili Parsons Sch Design New York NY 10011 USA Bluecadet Philadelphia PA 19125 USA

The Shan Shui in the World project recreated Manhattan, New York, in the style of traditional Chinese shanshui paintings by using a generative algorithm to transform its buildings into mountains. This project revisits the ideas implicit in Chinese literati paintings of shan shui: the relationship between urban life and people's yearning for nature and between social responsibility and spiritual purity. Shan Shui in the World was made possible by the growing ubiquitousness of data and the development of data visualization techniques, especially generative art. [ABSTRACT FROM AUTHOR]

关键词： Art art-science collaborations Buildings computer graphics data visualization generative algorithm nonphotorealistic rendering Painting Rendering (computer graphics) shanshui paintings Shape Urban areas

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Architectural modelling of an olive tree. generative tools for the scientific visualization of morphology and radiation relationships

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ECOLOGICAL INFORMATICS 2016年 36卷 84-93页

作者： Filippucci, Marco Rinchi, Gabriele Brunori, Antonio Nasini, Luigi Regni, Luca Proietti, Primo Univ Perugia Dept Civil & Environm Engn Via G Duranti 93 I-06125 Perugia Italy Univ Perugia Dept Agr Food & Environm Sci Via Borgo 20 Giugno 74 I-06121 Perugia Italy

This research integrates the agricultural study of trees with the sciences of representation, in order to describe the architectural form of an olive tree and to show a scientific visualization of the relationship between morphology and light interception in the canopy. The representation of plant architecture, manipulated with pruning operation for agricultural purposes of light optimization, describes the action of sunlight in the tree, testing the potential of digital design tools - especially generative modelling. Through the design of a specific algorithm, the tree is interpreted like a fragmented photovoltaic panel, analysed using 14,000 control points corresponding to the leaves. The possibility to select these classes of elements becomes the instrument to explain the canopy structure, finding categories that describe and simulate the annual radiance and illuminance. The developed modelling process and its purely theoretical significance constitute the basis for a variety of applications in data analysis and comparison between different models, evaluations, theories, and operations. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Trees digital modelling generative algorithm Sun lighting analysis Scientific application

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Generation Process and Analysis of Innovative Timberfabric Vaults

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STRUCTURAL ENGINEERING INTERNATIONAL 2014年第2期24卷 254-264页

作者： Albenque, Etienne Hudert, Markus Humbert, Laurent Weinand, Yves Ecole Polytech Fed Lausanne Lab Timber Construct IBOIS Lausanne Switzerland

Timberfabric structures, developed at IBOIS, are a new family of timber constructions based on the logic and principles of man-made fabrics. Modular elements called "timberfabric modules" are generated by curving and connecting two thin wooden panels. This paper concerns the study of vaults obtained by assembling together several timberfabric modules. A parametric tool is presented which can generate automatically a three-dimensional (3D) finite element model of a structure for a given set of initial parameters. This tool assists the architectural design of such structures, providing insights into their geometry as well as into the construction stresses and the kinematic constraints between different constitutive elements.

关键词： timberfabric vaults innovative structures Python script generative algorithm assembly process

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