2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)最新文献_第10页

Application and influence of artificial intelligence technology in commercial banks 人工智能技术在商业银行中的应用及影响

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00089

Xianke Li

引用次数: 0

LSTM Based Model For Apple Inc Stock Price Forecasting 基于LSTM的苹果公司股价预测模型

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00017

Huaijin Shi, Gao Yuan, Zhuoran Lu, Qian Liang

{"title":"LSTM Based Model For Apple Inc Stock Price Forecasting","authors":"Huaijin Shi, Gao Yuan, Zhuoran Lu, Qian Liang","doi":"10.1109/ICCSMT54525.2021.00017","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00017","url":null,"abstract":"The prediction of stock price is a popular and difficult topic that attracted and confused many investors over a long period of time. Because of the complex transaction market, there are a lot of risks when we do transactions. Until now, there are two schools about the stock market forecasting: fundamental analysis and technical analysis. The topic of this paper is to use the Recurrent Neural Networks to predict the stock price of Apple Inc in the future. In addition, the important unit of our RNN is Long Short-term Memory (LSTM), which introduces the memory cell, replacing traditional artificial neurons in the hidden layer of the network. Our Networks are able to associate memories and input remote in time, which could grasp the structure of data dynamically over time with high prediction capacity. To visualize our results, we draw three figures. We evaluated our model's performance on the dataset provided by the kaggle competition. The results of the experiment show that our method achieves a good performance compared with other machine learning methods. The RMSE of our model is 0.66 and 0.39 smaller than ridge regression and the neural network model respectively.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130875097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Real-time Medical Online Learning Content Recommendation based on Multi-view Data Mining 基于多视图数据挖掘的实时医学在线学习内容推荐研究

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00082

Hong Yan, Xinyue Ma, Shengwen He

{"title":"Research on Real-time Medical Online Learning Content Recommendation based on Multi-view Data Mining","authors":"Hong Yan, Xinyue Ma, Shengwen He","doi":"10.1109/ICCSMT54525.2021.00082","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00082","url":null,"abstract":"The purpose of this paper is to solve the problem of intelligent analysis of learners' behavior and intelligent recommendation in the domain of medical online education. The teaching behavior has transformed from experience teaching into massive data teaching. Moreover, the learning behavior is also changed from centralized learning to fragmented learning. In this paper, we study the method of personal education recommendation to meet these challenges. In this paper, a novel multi-view extreme learning machine model is proposed. We can get the optimized classification results. Based on these results, we proposed a collaborative filtering based personal recommendation method and applied via Spark framework. The experimental results show that, based on the effective analysis of learning behavior, the proposed method can be used to recommend the medical online learning content for the learners in practical teaching. In this paper, data mining and recommendation methods are realized in the field of medical online education. The methodological research and case studies can meet the needs of medical online education.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How Does Public Environmental Protection Restrain Enterprise Overcapacity?-Empirical Analysis Based on Big Data of Chinese Listed Companies 公共环保如何抑制企业产能过剩?——基于中国上市公司大数据的实证分析

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00113

Chengcheng Zhu, Lie Feng

{"title":"How Does Public Environmental Protection Restrain Enterprise Overcapacity?-Empirical Analysis Based on Big Data of Chinese Listed Companies","authors":"Chengcheng Zhu, Lie Feng","doi":"10.1109/ICCSMT54525.2021.00113","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00113","url":null,"abstract":"The excess capacity caused by the herd behavior of enterprise investment is one of the important problems that contribute to the waste of domestic resources and environmental pollution. Based on the big data of the whole industry of listed companies in Shanghai and Shenzhen A-shares from 2008 to 2020, this paper explores the impact of public environmental protection on corporate investment behavior. The results show that: (1) public environmental protection can significantly inhibit the herd behavior of enterprise investment; (2) When the degree of regional marketization is higher, the inhibition effect of public environmental protection is stronger; (3) The inhibition effect of public participation in environmental protection is stronger when management shares. In this paper, further tests were carried out by controlling the sample range, controlling endogeneity and changing the measurement method of indicators, and the results were still robust. This paper enriches the research on external governance mechanism of enterprise investment behavior, and tries to discuss the dual role of internal and external governance, and has certain policy significance.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131380148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discriminative correlation filter tracking algorithm with Transformer based on a multi-frame Cross-Attention mechanism 基于多帧交叉注意机制的变压器判别相关滤波跟踪算法

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00071

Jie Yuan, Shuo Chen, Zhaoyi Shi, Shaona Yu

{"title":"Discriminative correlation filter tracking algorithm with Transformer based on a multi-frame Cross-Attention mechanism","authors":"Jie Yuan, Shuo Chen, Zhaoyi Shi, Shaona Yu","doi":"10.1109/ICCSMT54525.2021.00071","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00071","url":null,"abstract":"Currently, tracking methods based on discriminative correlation filter and Siamese network are one of the hot research topics in visual object tracking tasks. Among them, how to make full use of the rich spatio-temporal information of the target between frames in a video sequence is one of the core problems in studying this topic. To address this problem, the information related to the target in the first frame, the history frame, and the current frame is transformed throughout the tracking process with the Cross-Attention mechanism as the core mechanism, and the Siamese-like architecture is used to achieve a more complete characterization of the tracking target features. We propose a discriminative correlation filter tracking algorithm with Transformer based on a multi-frame Cross-attention mechanism to improve tracking accuracy while maintaining the tracking speed essentially constant. We tested our proposed model on GOT-10k, TrackingNet and OTB2015 datasets, and the test results demonstrate the effectiveness of our proposed model, improving tracking accuracy while running at real-time speed.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123662319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Manufacturing Tax Policy Based on Neural Network 基于神经网络的制造业税收政策研究

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00088

Lan Li, Wenjuan Ren, Xiaofeng Zhang

引用次数: 0

A Multiple Object Tracking Method Based on Optimized FairMOT 基于优化FairMOT的多目标跟踪方法

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00072

H. Qi, Xiaoyan Fu, Xuejie He, Honghong Liu

引用次数: 0

Multi-layer Feature Fusion Method with Fewer Connections for Fast Semantic Segmentation 基于少连接的多层特征融合快速语义分割方法

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00067

Jie Yuan, Zhaoyi Shi, Shuo Chen, Shaona Yu

引用次数: 0

Research on Application of Blockchains in Supply Chain Risk Management 区块链在供应链风险管理中的应用研究

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00100

M. Xie, Yu Wei, Yanna Wang

{"title":"Research on Application of Blockchains in Supply Chain Risk Management","authors":"M. Xie, Yu Wei, Yanna Wang","doi":"10.1109/ICCSMT54525.2021.00100","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00100","url":null,"abstract":"These years have witnessed overcapacity of blockchains caused by low demand implementation and the lack of product usability. The excessive inventory increases the inventory cost, and reduces the value of the whole ecosystem of the supply chain. As the blockchain technology develops and matures, information systems of each link in the supply chain, including the supplier, the manufacturer, the retailer, and the logistics are able to log the information onto the chain to realize real-time tracking and collaboration. Besides, the supply chain built on the blockchain technology is more dynamic and flexible. In the present work, a three-layer supply chain model consists of a blockchain technology layer, a network layer, and an application layer to achieve real-time information sharing and collaboration of enterprises at different links of supply chain, and to increase the accuracy of demand forests and capacity of inventory replenishment, reduce supply chain risk, establishing a trust management mechanism, and unveil the principles underlying the efficiency of applying blockchain technology to control risks involved in supply chain.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"645 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123215476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Regional Differences of Influencing Factors of Minimum Wage ‐ ‐Based on Factor Analysis and LASSO Regression 最低工资影响因素的区域差异研究——基于因子分析和LASSO回归

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00090

Jinmin Zhang, Xufang Li, Dijun Fan

{"title":"Research on Regional Differences of Influencing Factors of Minimum Wage ‐ ‐Based on Factor Analysis and LASSO Regression","authors":"Jinmin Zhang, Xufang Li, Dijun Fan","doi":"10.1109/ICCSMT54525.2021.00090","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00090","url":null,"abstract":"The influencing factors of the minimum wage play an important role in the formulation of the minimum wage, and the minimum wage has a great impact on people's livelihood. Based on the data from 2001 to 2020, this paper uses factor analysis and LASSO regression to explore the influencing factors of minimum wage in Zhejiang Province, Shanxi Province, Guizhou Province and Qinghai-Tibet Province, and analyzes the reasons for the difference of minimum wage in different regions. The results show that Zhejiang Province has the largest influence factor of minimum wage, followed by economic development level and residents' living consumption level; Shanxi Province is residents' living consumption level; Guizhou Province is residents' living consumption level and spiritual and cultural level; Qinghai-Tibet Province accounts for the largest proportion of residents' living consumption level, followed by economic development level and spiritual and cultural consumption level. The influencing factors of minimum wage are also different in different regions, and the minimum wage standard should be reasonably formulated according to the local influencing factors.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125834237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0