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2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)最新文献

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Predicting Price Direction of Cryptocurrency Using Artificial Neural Networks 利用人工神经网络预测加密货币价格走势
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00047
Wenbo Ye
The machine learning method has been used in stock price prediction for a long time, and the price of cryptocurrencies such as bitcoin has attracted more and more attention in recent years. This paper aims to improve the method applicable to the stock market and try to use it in cryptocurrency price prediction. A simple three-layered feedforward artificial neural networks (ANN) model was applied in this paper to predict the daily directions of cryptocurrency prices. The historical trading data of Bitcoin, Ethereum, and Cardano were used in the experiments. Nine selected technical indicators were preprocessed into discrete trend data, and they were input into the model together with three additional indicators for training. This study has preliminarily obtained an effective result with price prediction accuracy of the three cryptocurrencies between 61% and 65%.
机器学习方法在股票价格预测中应用已经很长时间了,而比特币等加密货币的价格近年来也越来越受到关注。本文旨在改进适用于股票市场的方法,并尝试将其用于加密货币的价格预测。本文采用简单的三层前馈人工神经网络(ANN)模型来预测加密货币价格的每日走势。实验中使用了比特币、以太坊和卡尔达诺的历史交易数据。将选定的9个技术指标预处理成离散趋势数据,与另外3个指标一起输入模型进行训练。本研究初步获得了有效的结果,三种加密货币的价格预测准确率在61% ~ 65%之间。
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引用次数: 1
Research on Distance and Reputation Coefficient - Pricing Model Based on Population Grouping 基于人口分组的距离与声誉系数定价模型研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00037
Lisheng Chen, Tianxiang Xie, Yifei Song, Meiqi Wang
This paper mainly aims at the defects of existing pricing schemes to establish a more reasonable pricing system, and excavate the information contained in big data through the sorting of big data. Firstly, this paper analyzes and screens the data. Through correlation analysis, it is found that the pricing scheme only refers to the variables reflecting the distribution density of members, such as the number and distance of members near the target task, but lacks consideration of other variables, especially the reputation of nearby members, Therefore, the reason why a large number of tasks have not been completed is that the pricing scheme of the decision-maker is relatively one-sided, the factors considered only involve the density of the distribution of members, and the lack of consideration of other factors such as members' reputation and members' scheduled task quota. Then, this paper establishes the distance pricing model and the distance and number pricing model; Based on the above two models, a distance and reputation coefficient pricing model based on the number of people grouping is established. Compared with the original scheme, this model scheme considers the reputation value of nearby members and other factors, which is more reliable, and has the advantages of low pricing and high task acceptance.
本文主要针对现有定价方案的缺陷,建立更加合理的定价体系,通过对大数据的整理,挖掘大数据中蕴含的信息。本文首先对数据进行分析和筛选。通过相关分析发现,定价方案只涉及反映成员分布密度的变量,如成员在目标任务附近的数量和距离等,而缺乏对其他变量的考虑,特别是附近成员的声誉,因此,大量任务没有完成的原因是决策者的定价方案相对片面。考虑的因素只涉及到成员的分布密度,而没有考虑到其他因素,如成员的声誉和成员的计划任务配额。然后,建立了距离定价模型和距离与人数定价模型;在上述两个模型的基础上,建立了基于分组人数的距离声誉系数定价模型。与原方案相比,该模型方案考虑了附近成员的信誉值等因素,更加可靠,具有定价低、任务接受度高的优点。
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引用次数: 0
Charity Supervision Management System Based on Blockchain 基于区块链的慈善监督管理系统
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00109
Xin-an Fan
The charity management system is a vital information management system. the information must be entirely open for society, and anyone has the right to supervise. Therefore, we use the characteristics of the blockchain to be tamper-proof, decentralized, autonomous, observable, verifiable, and information-sharing to develop a secure and robust charity information management system. Use the ring signature mechanism to protect the privacy of supervisors. A charity contract system was developed based on the Ethereum experimental environment, code the traditional charity text contract, storage and execution of contracts both are on the blockchain, which ensures the autonomy and reliability of the charity project and the trustworthiness and credibility. Our system is a novel innovation that can succeed the traditional public platform for charity.
慈善管理系统是一个重要的信息管理系统。信息必须完全向社会公开,任何人都有监督的权利。因此,我们利用区块链防篡改、去中心化、自主化、可观察、可验证、信息共享的特点,开发安全、稳健的慈善信息管理系统。使用环签名机制保护管理员的隐私。基于以太坊实验环境开发慈善合约系统,对传统的慈善文本合约进行编码,合约的存储和执行都在区块链上,保证了慈善项目的自主性和可靠性以及可信赖性和可信性。我们的制度是继承传统公益慈善平台的一种创新。
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引用次数: 1
A Projective Noise Reduction Algorithm Based on Laplacian Smoothing 一种基于拉普拉斯平滑的投影降噪算法
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00051
Guanghua Zhao, Tao Yang, Dongmei Fu
In order to avoid the curse of dimensionality, which is often encountered in big data analysis, manifold learning assumes that high-dimensional data is embedded in a low-dimensional smooth manifold. However, in practical applications, the data sets often contain inevitable noise, and the manifold learning algorithm itself is often sensitive to noise. Therefore, in order to reduce the interference of noise to the manifold learning algorithm, we propose a new projective noise reduction algorithm based on Laplacian smoothing. The main idea of this algorithm is to perform Laplacian smoothing on a data set before projection of the sample points, so that the data set can present expected manifold structure, which solves the problem that the sample points are too scattered and deviated from the main manifold well. In avoid of the over-smoothing problem caused by Laplacian smoothing algorithm, we propose to control the number of iterations based on the variance reduction. The experimental results show that the proposed algorithm can reduce the noise as well as maintain the manifold structure, and the noise reduction effect is superior to the traditional noise reduction algorithm.
为了避免在大数据分析中经常遇到的维数诅咒,流形学习假设高维数据嵌入在低维光滑流形中。然而,在实际应用中,数据集往往包含不可避免的噪声,而流形学习算法本身往往对噪声敏感。因此,为了减少噪声对流形学习算法的干扰,我们提出了一种新的基于拉普拉斯平滑的投影降噪算法。该算法的主要思想是在样本点投影前对数据集进行拉普拉斯平滑处理,使数据集呈现出预期的流形结构,很好地解决了样本点过于分散和偏离主流形的问题。为了避免拉普拉斯平滑算法造成的过度平滑问题,我们提出了基于方差缩减的迭代次数控制方法。实验结果表明,该算法能够在保持流形结构的同时降低噪声,降噪效果优于传统的降噪算法。
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引用次数: 0
Econometric Analysis of Chinese Urban Residents' Consumption Based on Regression Analysis 基于回归分析的中国城镇居民消费计量分析
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00061
Ying Zhong, Jiawei Yao, Yan Xu, Zhirui Zhou, Yuqing Xiao, Qiyu Gu
Based on the main factors affecting the consumption of Chinese residents, this paper analyzes the mechanism of the influence of per capita disposable income, tax and GDP of urban residents on the consumption of Chinese residents. It uses regression analysis, economic significance test, statistical test, econometric test (multicollinearity, autocorrelation, heteroscedasticity), and through relevant correction, the final model is determined, and the final conclusion is obtained The disposable income of the people and the disposable income of rural residents have a significant positive impact on consumption, and the relevant policy recommendations are given.
基于影响中国居民消费的主要因素,本文分析了城镇居民人均可支配收入、税收和GDP对中国居民消费的影响机制。运用回归分析、经济显著性检验、统计检验、计量检验(多重共线性、自相关、异方差),并通过相关修正,确定最终模型,得出最终结论:居民可支配收入和农村居民可支配收入对消费具有显著的正向影响,并给出相关政策建议。
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引用次数: 0
Model and Analysis of Low-carbon Innovation Investment Level of Complex Product Manufacturing Enterprises Based on Differential Game 基于差分博弈的复杂产品制造企业低碳创新投资水平模型与分析
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00014
Shen Huang, Cancan Wang, Yuqin Wang
In order to achieve the goal of dual-carbon, manufacturing companies promote green transformation actively by exploring low-carbon technologies and increasing innovational investments. According to the production characteristics of manufacturing enterprises, this paper selects a typical three-level supply chain system as the research object, and establishes a differential dynamic model of low-carbon technology innovation cooperation strategy. Then the low-carbon technology input level and income level of each member company under different cooperation strategies are deduced. Finally, MATLAB is used for simulation analysis. The results show that in non-cooperative situations, when system manufacturers adopt cost-sharing strategies, they play a positive incentive role for the entire supply chain system, which increasing a certain percentage of low-carbon technology innovation investment and even preceeds of equipment suppliers and component suppliers. The overall low-carbon innovation input level and benefits of the supply chain can be maximized when each member company in the supply chain system adopts cooperative strategy.
为实现双碳目标,制造企业积极推进绿色转型,探索低碳技术,加大创新投入。本文根据制造企业的生产特点,选取一个典型的三级供应链系统作为研究对象,建立了低碳技术创新合作战略的差分动态模型。然后推导出不同合作策略下各成员企业的低碳技术投入水平和收益水平。最后利用MATLAB进行仿真分析。结果表明,在非合作情况下,系统制造商采用成本分担策略时,对整个供应链系统起到了积极的激励作用,提高了一定比例的低碳技术创新投资,甚至超过了设备供应商和零部件供应商。当供应链系统中各成员企业采取合作策略时,供应链的整体低碳创新投入水平和效益最大化。
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引用次数: 0
Research on Ship Route and Container Disruption Recovery 船舶航线与集装箱中断恢复研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00030
Yuzhen Hu, Han Yan
For ship disruption management problems, this paper has analyzed from ship routing and disrupted container recovery. First of all, this paper has divided container transport mode into direct containers and transfer containers. Then according to different ship route recovery measures, it is analyzed the recovery scheme of direct container and transfer container. This paper has designed improved genetic algorithm which is embedded speed optimization algorithm for solving liner disruption management model. This paper solves the liner disruption management model using the relevant ship navigation schedule data from COSCO. Finally, this paper verifies the effectiveness of the liner disruption management model method and provides relevant reference to the liner company.
对于船舶中断管理问题,本文从船舶航线和中断集装箱回收两方面进行了分析。首先,本文将集装箱运输方式分为直达集装箱和中转集装箱。然后根据不同的航路回收措施,分析了直航集装箱和中转集装箱的回收方案。本文设计了一种改进的遗传算法,即嵌入式速度优化算法,用于求解班轮中断管理模型。本文利用中远航运的相关船舶航行计划数据,求解了班轮中断管理模型。最后,验证了班轮中断管理模型方法的有效性,为班轮公司提供了相关参考。
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引用次数: 0
PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval 基于零件的三维形状检索循环多视图聚合网络
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00065
Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Z. Xiong
We propose the Part-based Recurrent Multi-view Aggregation network(PREMA) to eliminate the detrimental effects of the practical view defects, such as insufficient view numbers, occlusions or background clutters, and also enhance the discriminative ability of shape representations. Inspired by the fact that human recognize an object mainly by its discriminant parts, we define the multi-view coherent part(MCP), a discriminant part reoccurring in different views. Our PREMA can reliably locate and effectively utilize MCPs to build robust shape representations. Comprehensively, we design a novel Regional Attention Unit(RAU) in PREMA to compute the confidence map for each view, and extract MCPs by applying those maps to view features. PREMA accentuates MCPs via correlating features of different views, and aggregates the part-aware features for shape representation. Finally, we show extensive evaluations to demonstrate that our method achieves the state-of-the-art accuracy for 3D shape retrieval on ModelNet-40 and ShapeNetCore-55 datasets.
提出了基于部分的循环多视图聚合网络(PREMA),以消除实际视图缺陷(如视图数不足、遮挡或背景杂波)的不利影响,并增强形状表示的判别能力。受人类主要通过物体的判别部分来识别物体的启发,我们定义了多视图连贯部分(multi-view coherent part, MCP),即在不同视图中重复出现的判别部分。我们的PREMA可以可靠地定位和有效地利用mcp来构建鲁棒的形状表示。综合而言,我们在PREMA中设计了一种新的区域注意单元(Regional Attention Unit, RAU)来计算每个视图的置信度图,并通过将这些图应用于视图特征来提取mcp。PREMA通过关联不同视图的特征来强调mcp,并将部件感知特征聚合在一起进行形状表示。最后,我们进行了广泛的评估,以证明我们的方法在ModelNet-40和ShapeNetCore-55数据集上实现了最先进的3D形状检索精度。
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引用次数: 0
Research on comprehensive benefit evaluation model of municipal engineering based on triangular fuzzy number and fuzzy comprehensive evaluation 基于三角模糊数和模糊综合评价的市政工程综合效益评价模型研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00012
Shuang Shi, C. Nie
On the background of more and more demands for the evaluation of municipal engineering projects, the benefits of municipal engineering are paid more and more attention, and, at present, the research focus in the field of engineering is more on the benefit of single index than comprehensive evaluation benefits, this paper puts forward the concept of “comprehensive benefit” evaluation of municipal engineering based on various indicators of comprehensive engineering benefits. This paper puts forward an evaluation model of comprehensive benefits of municipal projects based on triangular fuzzy number and fuzzy comprehensive evaluation method, which can carry out post evaluation of comprehensive benefits of various municipal projects under various modes such as PPP, BT and BOT. Through example demonstration, it is proved that the evaluation model is scientific, practical and operable, which provides favorable engineering measures for the sustainable development of the city and the construction of a resource-saving and City friendly society.
在市政工程项目评价需求越来越大,市政工程效益越来越受到重视的背景下,目前工程领域的研究重点更多的是单一指标的效益,而不是综合评价效益,本文提出了基于工程综合效益各指标的市政工程“综合效益”评价概念。本文提出了基于三角模糊数和模糊综合评价法的市政项目综合效益评价模型,可对PPP、BT、BOT等多种模式下的各类市政项目综合效益进行后评价。通过实例论证,证明该评价模型具有科学性、实用性和可操作性,为城市可持续发展和建设资源节约型、城市友好型社会提供了有利的工程措施。
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引用次数: 0
Research on Tourist Attractions Control Recommendation Scheme Based on User Perception: Take Guangzhou's Conghua tourist attractions as an example 基于用户感知的景区控制推荐方案研究——以广州从化景区为例
Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00077
Haiyan Lv, Yizhi Kang, Shanshan Zhang
Guangzhou Conghua is very rich in tourism resources. Many beautiful rural tourism routes and a variety of tourism products have effectively promoted the healthy development of the village economy. In this paper, the dispatching algorithm for controlling the capacity of tourists in tourist attractions is used, combined with the humanistic environment, social security situation and natural scenery perception to estimate the tourists' travel choices. In order to improve the satisfaction of tourists, the tourism supporting facilities and service conditions of scenic spots need to control tourism demand. Therefore, the best tourism plan is selected to achieve the balance of supply and demand and realize the coordinated development of scenic spots, tourists and village economies.
广州从化旅游资源十分丰富。众多美丽的乡村旅游线路和丰富多彩的旅游产品,有力地促进了乡村经济的健康发展。本文采用控制旅游景区游客容量的调度算法,结合人文环境、社会治安状况和自然风光感知,对游客的出行选择进行估计。为了提高游客的满意度,景区的旅游配套设施和服务条件需要对旅游需求进行控制。因此,选择最佳的旅游规划,实现供需平衡,实现景区、游客和村庄经济的协调发展。
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引用次数: 0
期刊
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)
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