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2022 International Conference on Culture-Oriented Science and Technology (CoST)最新文献

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Study on Time-sharing Reservation Recommendation System of Scenic Spots Based on Relationship Graph 基于关系图的景区分时预订推荐系统研究
Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00014
Caihone Li, Linjie Luo, Xiaojia Huane, Haoyin Lv, Mian Qin
With the continuous development of the Internet, the content and information in the network are increasing explosively. Nowadays, with the rapid increase of data volume, many Internet companies need to consider how to promote their products to potential users and realize personalized recommendation. To solve this problem, people need to find relationships between data to build a relationship graph. Then, the potential relationship between each node and other nodes can be found according to the relationship graph, and personalized recommendation can be finally realized. Based on the reservation records of scenic spots in Gansu Province from 2020 to 2021, this paper builds a relationship graph between tourists and scenic spots. Neo4j graph database is used to store the relationship graph and display it intuitively. Then the relationship graph is used as the input of the recommendation system model in this paper to obtain the embedding representation of each type of tourists. Then, K-means is used to cluster tourists to obtain the reserved scenic spots of each category and calculate the popularity of scenic spots, so as to obtain TOP-K scenic spot recommendation and realize personalized recommendation.
随着互联网的不断发展,网络中的内容和信息呈爆炸式增长。如今,随着数据量的快速增长,许多互联网公司需要考虑如何向潜在用户推广自己的产品,实现个性化推荐。为了解决这个问题,人们需要找到数据之间的关系来构建关系图。然后,根据关系图找到每个节点与其他节点之间的潜在关系,最终实现个性化推荐。基于2020 - 2021年甘肃省旅游景区的预订记录,构建游客与旅游景区的关系图。使用Neo4j图形数据库存储关系图并直观显示。然后将关系图作为本文推荐系统模型的输入,得到各类型游客的嵌入表示。然后利用K-means对游客进行聚类,得到每个类别的预留景点,并计算景点的受欢迎程度,从而得到TOP-K的景点推荐,实现个性化推荐。
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引用次数: 0
A Data-driven Method of Analyzing the Law of Short Video International Propagation 短视频国际传播规律分析的数据驱动方法
Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00013
Jinbao Song, Jing Liu, Ruyi Deng, Di Huang, Yushu He, Xiangyu Sun
In order to improve China’s international communication capabilities in the era of short video, and reveal the pattern of short video international propagation law, this paper proposes a data-driven method of analyzing the law of short video international propagation. First of all, a key objective indicator system is constructed. Secondly, a propagation network for export short video semination based on the key objective indicator system is constructed, which combined with the basic characteristics of neural networks. Eventually, the method proposed in this paper can be used for short video international Analysis of propagation laws.
为了提高短视频时代中国的国际传播能力,揭示短视频国际传播规律的规律,本文提出了一种数据驱动的短视频国际传播规律分析方法。首先,构建了关键目标指标体系。其次,结合神经网络的基本特点,构建了基于关键目标指标体系的输出短视频传播网络;最终,本文提出的方法可用于短视频国际传播规律分析。
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引用次数: 0
A New NFT Model to Enhance Copyright Traceability of the Off-chain Data 提高链下数据版权可追溯性的新NFT模型
Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00041
Yulong Chen, Ziwei Wang, Xiangyu Liu, Xuetao Wei
Non-Fungible Tokens (NFTs) are digital assets that represent real-world objects like art, music and videos. However, NFTs according to current standards have no provisions for the copyright traceability of the off-chain data, which greatly hinders the sustainability of the NFT community. In this paper, we propose a new NFT model, which is a synergy of a new economic mechanism backed by game theory and two supplementary algorithms to handle the off-chain data. The economic mechanism is first proposed to motivate participants to maintain the off-chain raw data. Then, the model includes two supplementary algorithms, the version algorithm and validation algorithm, to verify the NFT’s ownership and copyright. We implement our model in Solidity on Ethereum and conduct experiments based on the real-world dataset from the largest NFT marketplace OpenSea. Our evaluation demonstrates that our model is a promising attempt towards the copyright traceability of the off-chain data for NFTs.
不可替代代币(nft)是代表现实世界对象的数字资产,如艺术、音乐和视频。然而,根据现行标准,NFT没有对链下数据的版权可追溯性进行规定,这极大地阻碍了NFT社区的可持续性。本文提出了一种新的NFT模型,它是一种以博弈论为基础的新的经济机制和两种补充算法的协同作用来处理脱链数据。首先提出了激励参与者维护链下原始数据的经济机制。然后,该模型包括版本算法和验证算法两种补充算法,用于验证NFT的所有权和版权。我们在以太坊的Solidity中实现了我们的模型,并基于最大的NFT市场OpenSea的真实数据集进行了实验。我们的评估表明,我们的模型对nft链下数据的版权可追溯性是一个有希望的尝试。
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引用次数: 3
Broadband Constant Directivity Control of Line Array Loudspeakers 线阵扬声器宽带恒指向性控制
Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00050
Z. Li, Yuqing Chen, Hui Ren, Kaiyue Li
In fact, the constant directivity characteristic of line array loudspeaker cannot cover all frequency. In order to expand the entire working frequency band of the constant directivity of the line array loudspeaker as much as possible, that is, to obtain a lower cut-off frequency and reduce the high frequency aliasing phenomenon, this paper proposes a frequency division shading algorithm based on the acoustic waveguide linear delay constant beamwidth transducer(CBT) array. After simulation in matlab, the sound field of traditional shading algorithm and frequency division shading algorithm is compared, it is effectively verified that the algorithm has a wider working frequency band than the traditional shading algorithm. In particular, the frequency division shading algorithm effectively reduces high-frequency aliasing phenomenon, which is difficult to overcome in traditional shading algorithms.
事实上,线阵扬声器的恒定指向性特性并不能覆盖所有频率。为了尽可能扩大线阵扬声器恒指向性的整个工作频带,即获得较低的截止频率,减少高频混叠现象,本文提出了一种基于声波导线性延迟恒波束宽换能器(CBT)阵列的分频遮光算法。通过matlab仿真,对比了传统遮光算法和分频遮光算法的声场,有效验证了该算法比传统遮光算法具有更宽的工作频带。特别是分频遮阳算法有效降低了传统遮阳算法难以克服的高频混叠现象。
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引用次数: 0
Study on the visualization function based on stroke rehabilitation mobile devices 基于脑卒中康复移动设备的可视化功能研究
Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00091
Juan Li, Zhe Li, Hang-qin Zhang
In order to make the visualization function of stroke rehabilitation mobile devices more effective in assisting patients with health management, this paper explores the correlation between user needs and design elements as well as that between new products and market competitiveness using Quality Function Deployment (QFD). First of all, we collected 27 user needs based on the questionnaire surveys and KJ method. Then QFD is used to convert the six key user needs of the right to 16 design elements on visualization functions perspective, and use the results to guide the design development. Finally, the importance of design elements and market competitiveness was evaluated. The findings show that the application developed in this case has a certain advantage over the other three representative similar applications in terms of market competitiveness. Its core competitiveness based on visualization functions perspective which have met the user needs for a convenient personal health management, a clear medical center route navigation and a simple operation mode. It can be seen that the design and development of visualization functions of stroke rehabilitation mobile devices based on QFD decision-making is successful. The paper proposes that it be used as a reference for the future design and development of similar products.
为了使脑卒中康复移动设备的可视化功能更有效地辅助患者进行健康管理,本文采用质量功能展开(Quality function Deployment, QFD)方法,探讨用户需求与设计要素、新产品与市场竞争力之间的相关性。首先,我们通过问卷调查和KJ法收集了27个用户需求。然后利用QFD从可视化功能的角度将6个关键用户需求转化为16个设计要素,并利用结果指导设计开发。最后,对设计要素的重要性和市场竞争力进行了评价。研究结果表明,本案例开发的应用程序在市场竞争力方面比其他三个具有代表性的同类应用程序具有一定的优势。其核心竞争力基于可视化功能视角,满足了用户便捷的个人健康管理、清晰的医疗中心路线导航、简单的操作模式等需求。可见,基于QFD决策的脑卒中康复移动设备可视化功能的设计与开发是成功的。本文提出对今后同类产品的设计和开发有一定的参考价值。
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引用次数: 0
A Study on the Concept and Practice of Lanzhou Urban Heritage as Cultural Memory Place under the Integration of Cultural and Tourism 文旅融合下的兰州城市遗产文化记忆场所概念与实践研究
Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00085
Chenxi Li, Yezhou Yang, Kunyuan Guo, Deyan Ma, Xue Yang, Junxiang Zeng, Honglu Wang, Pengfei Cao
Since the 21st century, the effective protection and rational use of urban cultural heritage have been the strategic development direction of urban construction under the background of the integration of culture and tourism all over the world. Moreover, today’s cultural heritage protection practice has undergone a “cognitive turn” from material protection to cultural protection. How can urban cultural heritage resist the dissolution of local cultural identities and vanished historical memories in the process of globalization? How can urban heritage be transformed successfully by using new media to add value in a digital context? Taking Lanzhou, a famous historical and cultural city as an example, this paper analyzes the practice cases of cultural heritage protection in the city from three dimensions: the shaping of the cultural identity of the urban heritage, the construction of the tourism space of the heritage site, and the sharing of cultural heritage in the digital age. The purpose is to clarify the development trend of “cultural memory space” has become cultural heritage protection practices, and to sort out the path and deep connotation of cultural memory space.
21世纪以来,城市文化遗产的有效保护和合理利用已成为世界各国文化与旅游融合背景下城市建设的战略发展方向。而且,今天的文化遗产保护实践经历了从物质保护到文化保护的“认知转向”。城市文化遗产如何抵御全球化进程中本土文化身份的消解和历史记忆的消失?如何利用新媒体在数字环境中增加价值,成功改造城市遗产?本文以历史文化名城兰州为例,从城市遗产文化认同的塑造、遗产地旅游空间的构建、数字时代文化遗产的共享三个维度,分析了城市文化遗产保护的实践案例。目的在于厘清“文化记忆空间”成为文化遗产保护实践的发展趋势,梳理文化记忆空间的路径和深层内涵。
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引用次数: 0
Prediction of Lanzhou urban passenger flow based on machine learning
Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00090
Bin Wu, Yunhao Kang, Caihong Li, Chao Ren, Binhu Bao
Due to the continuous occurrence of black swan events, the large number of tourists and the uncertainty have caused certain challenges to the tourism industry, so it is very useful to accurately predict the tourist flow in tourism layout and management. For this reason, this paper takes the time series of Lanzhou tourism flow in 2019 as the research object and analyzes its trend. To improve the prediction accuracy, we propose a model that combines empirical mode decomposition (EMD), particle swarm optimization (PSO), and gated recurrent unit neural network (GRU), and combines it with several classical Compare time series forecasting models. Experiments finally show that this method can well reduce the hysteresis of GRU model prediction, and can quickly find the optimal parameters of the neural network, with more accurate prediction results.
由于黑天鹅事件的不断发生,大量的游客和不确定性给旅游业带来了一定的挑战,因此准确预测旅游流量在旅游布局和管理中是非常有用的。为此,本文以2019年兰州市旅游流量时间序列为研究对象,分析其趋势。为了提高预测精度,提出了一种结合经验模态分解(EMD)、粒子群优化(PSO)和门控循环单元神经网络(GRU)的预测模型,并将其与几种经典的比较时间序列预测模型相结合。实验最后表明,该方法能很好地减小GRU模型预测的滞后,并能快速找到神经网络的最优参数,预测结果更加准确。
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引用次数: 0
Analysis on the Design Methods of Cultural Variety Show Derivatives 文化综艺衍生品的设计方法分析
Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00054
Jifeng Xu, Xinyan Feng, Dan Zhao
With the rapid development of cultural variety shows, the cultural variety show named Upped New, Old Palace opens up the connection point between cultural creative design and cultural variety shows, which also uses the development of creative products of the Forbidden City as the content of the program. We aim to investigate the process of cultural creative design formation, and to summarize design methods of cultural creative products. Firstly, we analyzed the historical origins and sentiments of cultural elements. Secondly, through narrowing the design perspective, we focus on one thing to deconstruct and reconstruct the cultural connotation of the elements. Finally, based on audience preferences and fashion trends, we discovered the process of iterative upgrading of cultural and creative products. The traditional cultural elements and modern aesthetic design in the Forbidden City are organically integrated into the cultural variety show, and finally settled in the development of cultural creativity, which has inspired its specific design.
随着文化综艺节目的快速发展,名为《新老皇宫》的文化综艺节目打通了文化创意设计与文化综艺节目的连接点,也将故宫创意产品的开发作为节目内容。研究文化创意设计的形成过程,总结文化创意产品的设计方法。首先,我们分析了文化元素的历史渊源和情感。其次,通过缩窄设计视角,聚焦一件事,解构和重构元素的文化内涵。最后,根据受众偏好和流行趋势,我们发现了文创产品迭代升级的过程。紫禁城的传统文化元素和现代美学设计有机地融入到文化综艺节目中,最终沉淀在文化创意的发展中,从而启发了其具体的设计。
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引用次数: 0
How Consumers’ Identity with the anchor Influence Purchase Intention? – A Case study on Beauty Products 消费者对主播的认同如何影响购买意愿?——以美容产品为例
Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00051
Li Zhiwei, Wu Han
Live Commerce is one of the most popular forms of e-commerce. In the live broadcasting room, anchors interact with consumers around the commodities and influence their purchase intention. This research takes beauty products as a case to explore how consumers’ perception of anchors affects their purchase intention. 286 valid samples were collected in the questionnaire survey and the data was analyzed by SmartPLS 2. It was found that anchor identity can significantly affect consumers’ purchase intention and adjust the impact of perceived value on purchase intention, but it has no significant effect on the impact of perceived risk on purchase intention. It can be seen that a high sense of identity with the anchor can influence consumers’ purchase intention positively in the live broadcasting.
在线商务是最流行的电子商务形式之一。在直播室内,主播围绕商品与消费者互动,影响消费者的购买意愿。本研究以美容产品为例,探讨消费者对主播的认知如何影响其购买意愿。问卷调查共收集有效样本286份,采用SmartPLS 2软件对数据进行分析。研究发现,主播身份可以显著影响消费者的购买意愿,并调节感知价值对购买意愿的影响,但对感知风险对购买意愿的影响没有显著影响。由此可见,对主播的高度认同感会对直播中消费者的购买意愿产生积极的影响。
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引用次数: 0
EMG-based Interactive Control Scheme for Stage Lighting 基于肌电图的舞台灯光交互控制方案
Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00066
Huiqin Wang, Jiajun Li
Aiming at improving the low interactivity of conventional stage lighting control, a gesture-based interactive control scheme for stage lighting is proposed in this paper, which uses electromyogram (EMG) signals to recognize the performers’ gestures and converts them into control signals to transform the stage lighting effects subsequently. Gesture recognition, it involves the acquisition, preprocessing, feature extraction, and classification of the EMG signal. Considering the real-time performance and accuracy among the common algorithms such as support vector machine (SVM), k-nearest neighbor (KNN), linear discriminant analysis (LDA), backpropagation (BP) neural network, KNN is adopted as the classification tool. The lighting effect between gestures and stage lights is designed and realized to ensure that stage lighting interactively transforms with gesture changes. The experiment results show the feasibility and convenience of the proposed control scheme.
针对传统舞台灯光控制交互性低的问题,本文提出了一种基于手势的舞台灯光交互控制方案,该方案利用肌电信号识别表演者的手势,并将其转换为控制信号,进而对舞台灯光效果进行变换。手势识别主要包括肌电信号的采集、预处理、特征提取和分类。考虑到支持向量机(SVM)、k近邻(KNN)、线性判别分析(LDA)、反向传播(BP)神经网络等常用算法的实时性和准确性,本文选择KNN作为分类工具。设计并实现手势与舞台灯光之间的灯光效果,保证舞台灯光随手势变化而交互变换。实验结果表明了所提控制方案的可行性和便捷性。
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引用次数: 0
期刊
2022 International Conference on Culture-Oriented Science and Technology (CoST)
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