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Research on the Construction of Digitization Protection Platform for Ethnic Food Resources 民族粮食资源数字化保护平台建设研究
Qiu Li, Qiuyan Liao, Xiang-lin Pan, Fei Liang
Digital method is an effective way to protect the intangible cultural heritage food resources. In this paper, with the development background of modern digital transformation, the use of "Internet plus", web crawlers, computers and other digital technologies were studied to build a digital protection platform for national food resources. Using technologies such as data cleaning, blockchain traceability and automatic matching algorithm, the platform architecture can be designed to iteratively update the relevant data of national food resources and establish a digital national food "Museum". Meanwhile, the development of national food culture is enabled and ethnic food cultural resources can be innovatively protected and inherited by digital technology, which can stimulate new consumption patterns and new business forms of ethnic food culture.
数字化手段是保护非物质文化遗产食物资源的有效途径。本文在现代数字化转型的发展背景下,研究利用“互联网+”、网络爬虫、计算机等数字技术,构建国家粮食资源数字化保护平台。利用数据清洗、区块链溯源、自动匹配算法等技术,设计平台架构,迭代更新国家粮食资源相关数据,建立数字国家粮食“博物馆”。同时,通过数字技术促进民族饮食文化的发展,对民族饮食文化资源进行创新性的保护和传承,激发民族饮食文化新的消费模式和新的业态。
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引用次数: 0
Design and Implementation of Intelligent Senior Care Service Cloud Platform System in the Context of Big Data 大数据背景下智能养老服务云平台系统的设计与实现
Weiwei Kong, Sijia Du
Abstract—With the intensification of the aging of China's population, the accompanying problems of aging and sub-replacement fertility have become increasingly prominent, and traditional senior care methods are challenging to meet the increasing demand for senior care service. As a new way of senior care derived from the background of big data, intelligent senior care has expanded a new space for the cause of senior care service in China in the new era and provided a new scientific and practical way to solve the senior care problems. This paper takes big data, the Internet of Things, cloud computing, and other information technologies as the core, designs and evaluates a cloud platform for intelligent senior care service, and builds a five-layer platform architecture of perception layer, application layer, interface layer, and business layer, the processing layer, and the big data layer. Six major systems realize the cloud platform display of intelligent senior care service: call and service system, data and information management system for the elderly, senior care meal assistance service system, sojourn senior care service system, elderly health management system, and volunteer service system. It effectively meets the needs of the elderly in terms of safety care, emergency assistance, healthy life, spiritual care, etc., and realizes the intelligence, informatization, dataization, and convenience of elderly care.
摘要随着中国人口老龄化的加剧,伴随而来的老龄化和生育亚替代问题日益突出,传统的养老方式难以满足日益增长的养老服务需求。智能养老作为大数据背景下衍生出来的一种新型养老方式,为新时代中国养老服务事业拓展了新的空间,为解决养老问题提供了科学实用的新途径。本文以大数据、物联网、云计算等信息技术为核心,设计并评估了智能养老服务云平台,构建了感知层、应用层、接口层、业务层、处理层、大数据层五层平台架构。六大系统实现了智能养老服务的云平台展示:呼叫服务系统、老年人数据信息管理系统、养老助餐服务系统、旅居养老服务系统、老年人健康管理系统、志愿服务系统。有效满足老年人在安全护理、紧急救助、健康生活、精神关怀等方面的需求,实现养老的智能化、信息化、数据化、便捷化。
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引用次数: 0
Analysis and research on adaptive Time-Frequency analysis method 自适应时频分析方法的分析与研究
M. Shi
Adaptive Time-Frequency analysis method is of great significance for extracting the fault characteristic frequency of actual complex non-stationary signals. Based on this method, this paper innovatively proposes a multi-channel data acquisition system based on LabVIEW to collect the vibration signal of the bearing test-bed; Through the analysis and comparison of EMD, ITD and LCD algorithms, the characteristics of their algorithms are found. The experimental results show that according to the data collected by LabVIEW multi-channel data acquisition system, the adaptive time-frequency method can be effectively selected to identify the faults of rolling bearings, improve the fault detection rate and practicability of the equipment, and ensure the safe and reliable operation of the equipment.
自适应时频分析方法对于实际复杂非平稳信号的故障特征频率提取具有重要意义。在此基础上,创新性地提出了一种基于LabVIEW的多通道数据采集系统,用于采集轴承试验台的振动信号;通过对EMD、ITD和LCD算法的分析和比较,发现了各自算法的特点。实验结果表明,根据LabVIEW多通道数据采集系统采集的数据,可以有效地选择自适应时频方法来识别滚动轴承的故障,提高了设备的故障检出率和实用性,保证了设备的安全可靠运行。
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引用次数: 0
A Consensus Approach for SDN Controllers based on Blockchain 基于区块链的SDN控制器共识方法
Jiacong Li, Hang Lv, Bo Lei, Yunpeng Xie
SDN has been proposed to realize flexible network management. Due to the network becomes more complex, multiple controllers are required in SDN. It brings cooperative operation problem among multiple SDN controllers. To solve this problem, common method is to set up a central SDN controller management platform, which increases the construction and operation costs. In this paper, we propose a consensus approach for SDN controllers based on blockchain. Blockchain is a decentralized distributed data management technology. Using this feature, we select the mater controller which has the most abundant resources. The master node completes the production and entry of the block, while the ordinary node accepts the block produced by the master one. To realize this approach, we propose a resource data model of the SDN controller first and a consensus method based on blockchain and this data model.
为了实现灵活的网络管理,提出了SDN。由于网络越来越复杂,SDN需要多个控制器。它带来了多个SDN控制器之间的协同操作问题。为了解决这个问题,常用的方法是建立一个SDN中心控制器管理平台,这增加了建设和运营成本。在本文中,我们提出了一种基于区块链的SDN控制器共识方法。区块链是一种分散的分布式数据管理技术。利用这一特点,我们选择了资源最丰富的控制器。主节点完成区块的生成和录入,普通节点接受主节点生成的区块。为了实现该方法,我们首先提出了SDN控制器的资源数据模型,并提出了基于区块链和该数据模型的共识方法。
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引用次数: 0
Non-destructive prediction of soluble solids content in citrus using visible near-infrared spectroscopy 用可见近红外光谱无损预测柑橘中可溶性固形物含量
Yuan Qin, Shaokang Huang, Z. Huang, Xiaoxiao Jiang
The soluble solids content (SSC) of fruits is an important parameter that influences its internal quality. Visible near-infrared (Vis-NIR) spectroscopy is a effective means to detect the internal quality of fruits and vegetables. Measuring samples by instruments generates noise due to environmental factors and machine vibrations, which affects the accuracy of predictions. In this paper, we use standard normalized variables (SNV) and multiplicative scattering correction (MSC) to preprocess the spectral wavelengths, which can effectively reduce the effect of noise. In addition, spectral data contain many redundant variables and useless information, leading to poor prediction of the model. In order to solve this problem, this paper propose a wavelength selection method based on a hybrid strategy of Genetic Algorithm (GA) and Competitive Adaptive Reweighted Sampling (CARS) to screen the effective variables. And the final model is created by partial least squares (PLSR). The GA-CARS model with 84 selected variables has better predictive performance compared to the origin spectrum. In the experiments, samples are obtained from fresh citrus grown in farms around Guilin, and the spectra of citrus are detected in the range of 590 nm-940 nm with a Vis-NIR spectrometer. The experimental results showed that the performance of the prediction model is improved after wavelength screening (RMSEP=0.1581, R2=0.9245). Compared with the traditional algorithm, GA-CARS is an excellent method for screening variables, and the screened wavelengths combined with the model established by PLSR can be a rapid means to detect the SSC of citrus.
可溶性固形物含量(SSC)是影响果实内在品质的重要参数。可见近红外光谱(Vis-NIR)是检测果蔬内在品质的有效手段。由于环境因素和机器振动,仪器测量样品会产生噪声,影响预测的准确性。本文采用标准归一化变量(SNV)和乘法散射校正(MSC)对光谱波长进行预处理,可以有效降低噪声的影响。此外,光谱数据中含有大量冗余变量和无用信息,导致模型的预测效果较差。为了解决这一问题,本文提出了一种基于遗传算法(GA)和竞争自适应重加权采样(CARS)混合策略的波长选择方法来筛选有效变量。最后利用偏最小二乘法(PLSR)建立模型。与原始谱相比,具有84个选择变量的GA-CARS模型具有更好的预测性能。实验以桂林市周边农场的新鲜柑橘为样品,利用Vis-NIR光谱仪在590 nm-940 nm范围内检测柑橘的光谱。实验结果表明,经过波长筛选后,预测模型的性能得到了提高(RMSEP=0.1581, R2=0.9245)。与传统算法相比,GA-CARS是一种很好的筛选变量的方法,筛选出的波长与PLSR建立的模型相结合,可以快速检测柑橘的SSC。
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引用次数: 0
Silq2Qiskit - Developing a quantum language source-to-source translator Silq2Qiskit -开发量子语言源到源翻译器
Julian Hans, Sven Groppe
Quantum Computers are quickly becoming capable of solving certain tasks substantially faster than classical computers and the promise of quantum-driven advancements in research and economy continues to accelerate the development of quantum technology. However, most software development for quantum computers relies on the tedious manual implementation of quantum circuits on a very low level of abstraction, with tools such as the prominent IBM Qiskit SDK. In 2020, Silq, a quantum language to enable more intuitive and robust quantum development, was presented. While it substantially simplifies the write- and readability of quantum programs, Silq Code can only be run through its simulator on classical hardware. In comparison, Qiskit and its close integration with IBM’s Quantum Experience even enable users to run and evaluate quantum programs on physical quantum hardware. This paper proposes an automatic source-to-source translator for basic Silq Code and the extension of Qiskit by core concepts of Silq’s abstraction layers, such as Quantum Indexing and Quantum Control Flow.
量子计算机正在迅速变得能够比经典计算机更快地解决某些任务,量子驱动的研究和经济进步的前景继续加速量子技术的发展。然而,大多数量子计算机的软件开发依赖于在非常低的抽象层次上手工实现量子电路,使用诸如著名的IBM Qiskit SDK之类的工具。2020年,Silq,一种量子语言,能够实现更直观和强大的量子开发,被提出。虽然它极大地简化了量子程序的可写性和可读性,但Silq Code只能通过它在经典硬件上的模拟器运行。相比之下,Qiskit及其与IBM量子体验的紧密集成甚至使用户能够在物理量子硬件上运行和评估量子程序。本文提出了一种用于基本Silq代码的自动源到源转换器,并利用Silq抽象层的核心概念(如量子索引和量子控制流)对Qiskit进行了扩展。
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引用次数: 1
Panoramic image style transfer technology based on multi-attention fusion 基于多注意力融合的全景图像风格转移技术
Xin Xiang, Wujian Ye, Yijun Liu
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引用次数: 1
Click-through rate prediction model based on LightGBM and DeepFM 基于LightGBM和DeepFM的点击率预测模型
Qinghou Qi, Bin Zhao, Wenyin Zhang, Yilong Gao
Aiming at the problems of information overload and insufficient personalized service in multi-service system, a click-through rate prediction model based on LightGBM and DeepFM (LGDF) for multi-service systems is proposed. The LGDF model is based on the framework of LightGBM and DeepFM model. Firstly, LightGBM gradient lifting decision tree is added to the model to perform high-order combination feature transformation and fusion extraction on the features in the original dataset to obtain effective integer result vectors. Then, the integer result vector generated by LightGBM tree prediction is spliced with the original data set to form the new dataset. Finally, the new dataset is used as the input of the DeepFM model to learn the combination relationship of high-order and low-order features between the data. The proposed model is verified on the public dataset Criteo, and the experimental results show that the proposed model LGDF has higher accuracy than other classical models.
针对多业务系统中信息过载和个性化服务不足的问题,提出了一种基于LightGBM和DeepFM (LGDF)的多业务系统点击率预测模型。LGDF模型是基于LightGBM和DeepFM模型的框架。首先,在模型中加入LightGBM梯度提升决策树,对原始数据集中的特征进行高阶组合特征变换和融合提取,得到有效的整数结果向量;然后,将LightGBM树预测生成的整数结果向量与原始数据集拼接,形成新的数据集。最后,将新数据集作为DeepFM模型的输入,学习数据之间的高阶和低阶特征的组合关系。在公共数据集Criteo上对所提模型进行了验证,实验结果表明,所提模型LGDF比其他经典模型具有更高的精度。
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引用次数: 0
Study on Digital Signal Synchronization System of Confocal Micro Endoscope 共聚焦显微内窥镜数字信号同步系统研究
Baoqing Zhang, Jing Cao, Li-Yu Daisy Liu
Abstract: Laser confocal scanning micro endoscopy has become the focus of current research because of its ability to achieve high-resolution real-time histological diagnosis and certain depth tomography imaging. In the digital communication system of laser confocal scanning micro endoscopy, since the two communication parties are not in the same place, there is a certain transmission delay between the received signal and the transmitted signal. In order to make the two parties work in harmony, a synchronization system must be provided to ensure it. In this paper, the parabola interpolation filter is selected as the interpolation filter, and the Gardner algorithm is selected as the timing error detection module. MATLAB software is used to simulate the digital signal synchronization system of confocal micro endoscope. Finally, we use the signaltap II provided by Quartus II to conduct online logic analysis in FPGA to see whether the results meet the design requirements.
摘要:激光共聚焦扫描显微内窥镜由于能够实现高分辨率的实时组织学诊断和一定的深度断层成像而成为当前研究的热点。在激光共聚焦扫描显微内窥镜数字通信系统中,由于通信双方不在同一地点,因此接收信号与发射信号之间存在一定的传输延迟。为了使双方和谐工作,必须提供一个同步系统来保证这一点。本文选择抛物线插补滤波器作为插补滤波器,选择Gardner算法作为时序误差检测模块。利用MATLAB软件对共聚焦显微内窥镜的数字信号同步系统进行仿真。最后,我们使用Quartus II提供的signaltap II在FPGA中进行在线逻辑分析,看结果是否符合设计要求。
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引用次数: 0
Analysis of the integration of cultural tourism industry in Guangxi— Econometric analysis based on data from 2010-2019 广西文化旅游产业整合分析——基于2010-2019年数据的计量分析
Hui-Ji Xu, Fuxing Liang, Hanwen Ding, L. Xiao
This paper collects and sorts out the relevant data of Guangxi's cultural industry and tourism industry from 2010 to 2019, and analyzes and clarifies the degree of integration and existing problems of cultural tourism in Guangxi based on the coupling coordination model, draws a Line charts and histograms reflecting the trend change of its coupling and coordination degree, and proposes corresponding solutions. The results show that from 2010 to 2019, the coupling coordination degree D value of the two is between 0.441 and 0.885, and most of the coupling degree C values are above 0.8. In 2010, the coupling coordination was the lowest, with a value of 0.441, and in 2019, the coupling coordination reached a maximum of 0.885. With the "industrial integration" gradually entering the public vision, tourism, as a pillar industry of the national economy, has been deeply developed at home and abroad in recent years. According to the problem of fluctuation of coupling and coordination degree between the two systems, the paper proposes to focus on the establishment of a long-term mechanism for the development of tourism industry and the development of cultural industry, so as to promote the innovative development of Guangxi's tourism industry, improve the competitiveness of the tourism industry, optimize the industrial structure, and transform the growth momentum.
本文收集整理了2010 - 2019年广西文化产业和旅游产业的相关数据,并基于耦合协调模型对广西文化旅游的融合程度和存在的问题进行了分析和梳理,绘制了反映其耦合协调度趋势变化的线形图和直方图,并提出了相应的解决方案。结果表明:2010 - 2019年,两者耦合配合度D值在0.441 ~ 0.885之间,大部分耦合配合度C值在0.8以上;2010年耦合协调度最低,为0.441,2019年耦合协调度最高,为0.885。随着“产业融合”逐渐进入大众视野,旅游业作为国民经济的支柱产业,近年来在国内外得到了深入发展。本文针对两个系统之间耦合和协调度波动的问题,提出重点建立旅游产业发展与文化产业发展的长效机制,以促进广西旅游产业创新发展,提高旅游产业竞争力,优化产业结构,转变增长动力。
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引用次数: 0
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Proceedings of the 5th International Conference on Computer Science and Software Engineering
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