作者机构：
[Zou, YiLin; Zhou, Kang; Zhen, YiTing] School of Math and Computer, Wuhan Polytechnic University, Wuhan;Hubei;430023, China;[Ji, BinGe] School of Economics and Management, Wuhan Polytechnic University, Wuhan;[Wu, XiaoDong] School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan
通讯机构：
[Kang Zhou] S;School of Math and Computer, Wuhan Polytechnic University, Wuhan, China
关键词：
Dichotomy method;Finite difference method;One-dimensional unsteady heat conduction;Thickness optimization of high temperature protective clothing
期刊：
International Journal of Parallel, Emergent and Distributed Systems,2021年36(1):44-50 ISSN：1744-5760
通讯作者：
Kang Zhou
作者机构：
[Shuo Liu; Kang Zhou; Jiangrong Liu] Department of Math and Computer, Wuhan Polytechnic University, Wuhan, People’s Republic of China;[Huaqing Qi] Department of Economics and Management, Wuhan Polytechnic University, Wuhan, People’s Republic of China
通讯机构：
[Kang Zhou] D;Department of Math and Computer, Wuhan Polytechnic University, Wuhan, People’s Republic of China
作者：
Hang Xiong;Tobias Dalhaus;Puqing Wang;Jiajin Huang
期刊：
Frontiers in Blockchain,2020年3:7 ISSN：2624-7852
作者机构：
Macro Agriculture Research Institute, College of Economics and Management, Huazhong Agricultural University, China;Agricultural Economics and Policy Group, ETH Zürich, Switzerland;College of Economics and Management, Wuhan Polytechnic University, China;The Development Research Center of Shanghai Municipal People’s Government, China;School of Economics, Fudan University, China
摘要：
The blockchain is a ledger of accounts and transactions that are written and stored by all participants. It promises a reliable source of truth about the state of farms, inventories and contracts in agriculture, where the collection of such information is often incredibly costly. The blockchain technology can track the provenance of food and thus helps create trustworthy food supply chains and build trust between producers and consumers. As a trusted way of storing data, it facilitates the use of data-driven technologies to make farming smarter. In addition, jointly used with smart contracts, it allows timely payments between stakeholders that can be triggered by data changes appearing in the blockchain This article examines the applications of blockchain technology in food supply chains, agricultural insurance, smart farming, transactions of agricultural products for both theoretical and practical perspectives. We also discuss the challenges of recording transactions made by smallholder farmers and creating the ecosystem for utilizing the blockchain technology in the food and agriculture sector.
摘要：
Classification learning is a very important issue in machine learning, which has been widely used in the field of financial distress warning. Some researches show that the prediction model framework based on sparse algorithm has better performance than the traditional model. In this paper, we explore the financial distress prediction based on grouping sparsity. Feature selection of sparse algorithm plays an important role in classification learning, because many redundant and irrelevant features will degrade performance. A good feature selection algorithm would reduce computational complexity and improve classification accuracy. In this study, we propose an algorithm for feature selection classification prediction based on feature attributes and data source grouping. The existing financial distress prediction model usually only uses the data from financial statement and ignores the timeliness of company sample in practice. Therefore, we propose a corporate financial distress prediction model that is better in line with the practice and combines the grouping sparse principal component analysis of financial data, corporate governance characteristics, and market transaction data with support vector machine. Experimental results show that this method can improve the prediction efficiency of financial distress with fewer characteristic variables.
作者机构：
School of Economy and Management,Wuhan Polytechnic University,Wuhan,China;China Post Group Company Guilin Lingui Distribution Company,Guilin,China
会议名称：
2019 International Conference on Informatics, Control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)
会议时间：
2019-06-16
会议地点：
上海
会议论文集名称：
2019 International Conference on Informatics, Control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)论文集
关键词：
Internet;Rural homestay;Marketing;Strategy
摘要：
With the rapid development of Internet technology in China,Internet marketing has been widely used in various industries.As an important part of rural tourism,rural homestay is of great significance for the development of rural economy,the realization of accurate poverty alleviation and rural revitalization.With the strong support of the national policy,Internet marketing has provided a development opportunity for rural homestay.This paper has mainly used the method of statistical analysis,comparative research and case study to carry out the research,taking the Internet marketing of rural homestay as the theme,taking Lichuan's homestay as an example,analyzed the opportunities and challenges of homestay Internet marketing,existing problems,and put forward the corresponding strategies in order to better meet the growing demand of people for rural homestay.
期刊：
Journal of Computers (Taiwan),2019年30(4):106-112 ISSN：1991-1599
通讯作者：
Zeng, Shan(zengshan1981@whpu.edu.cn)
作者机构：
[Zeng, Shan; Kang, Zhen; Jiang, Liang] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China;[Zeng, Sen] College of Economics and Management, Wuhan Polytechnic University, Wuhan, 430023, China
