This paper analyzes the relevant data of domestic agricultural products cold chain logistics enterprises,explores the reasons that affect the performance of agricultural products cold chain logistics enterprises,and establishes an index system for the performance evaluation of agricultural products cold chain logistics enterprises.We collect the actual data of relevant com-panies,quantify and normalize the index values corresponding to the index system,form the corresponding sample training set,and use GA(Genetic Algorithm)to optimize BP artificial neural network.The application model based on GA neural network algorithm is established,and simulation training is carried out to determine the optimal number of hidden layers.At the same time,we compare the results of various evaluation methods to prove the effectiveness and relative accuracy of this method.The application methods and prospects of this method in the decision-making and management system of agricultural products cold chain logistics enterprises are described.

Driven by mobile technology, the short video industry has shown an explosive growth trend in recent years. This paper discusses the current situation of the short video industry and the problems existing in the short video business circle. Combined with the current application scenarios of blockchain technology, this paper discusses the necessity of building a new ecosystem based on blockchain, presents a method to solve the problems related to short video ecosystem by using blockchain smart contract and other technologies, and introduces the application process of blockchain in data sharing, smart contract, asymmetric encryption and other key technologies in the new ecosystem. Finally, according to the analysis of the application process, the possible problems are put forward and suggestions are given.

On the basis of the analysis of the new tourism logistics mode in the perspective of the whole area tourism, it points out the change to the city The new requirements of the public operation and management service platform of tourism logistics in the city region are pointed out, and the necessity of building a cloud service architecture for urban tourism logistics is established. The necessity of constructing urban tourism logistics cloud service system architecture is established. The feasibility of applying blockchain technology to the construction of tourism logistics cloud service platform is also analyzed accordingly. At the same time, the framework model of hybrid cloud architecture of urban tourism logistics based on BaaS is proposed.

On the basis of analyzing the composition of the clothing supply chain on the E-commerce platform, The paper points out that the E-commerce platform should be the leading party in the construction of the traceability system of the clothing supply chain, and puts forward and analyzes the four-stage step-by-step implementation strategy of this clothing supply chain traceability system architecture. Then a clothing traceability system architecture model on E-commerce platform based on the Hyperledger consortium blockchain and private blockchain is constructed, and the utility of this model is explained. Finally, the paper proposes the direction of further research in this field

Based on the research of the interactive relationship between blockchain and smart contract, the paper analyzes the irreplaceable and important role of smart contract in cloud service platform about tourism logistics which is based on the blockchain technology. And then it indicates that there are three members involved in the stakeholders such as enterprises and individuals on the demand side of tourism logistics service, enterprises on the supply side of tourism logistics service, and relevant financial institutions. On this basis the study constructs a model of tourism logistics smart contract based on the ethereum blockchain, and complements the algorithm in this field at last. 区块链架构下旅游物流智能合约框架研究 余真翰, 叶斌, 刘银锋, 刘科 成都纺织高等专科学校,成都,中国 成都东软学院,成都,中国 djyyuzh@163.com,yiebin@ nsu.edu.cn, lyf717889@163.com,pdqliuke@163.com 通讯作者 关键词: 区块链;旅游物流;智能合约;云物流服务 中文摘要. 在探讨区块链技术和智能合约技术所存在的契合关系基础上,分析了在以区块链 技术为基础的旅游物流云服务平台中,智能合约所发挥的不可替代的重要作用。提出旅游物 流智能合约中涉及的利益相关方包括旅游物流服务供给侧企业、旅游物流服务需求侧企业及 个人,以及参与结算与支付的有关金融机构。并以此为依据构建了以以太坊为区块链应用平 台的旅游物流智能合约模型,进而补充完善了旅游物流智能合约算法流程。 1.引言 旅游物流作为物流业服务于旅游领域的具体形式,自提出以来学术界已经就其基本概念、 适用范围、主要特征以及运行模式等多个方面开展了大量的研究,取得了系列成果,充分论 证了旅游物流对旅游业的发展所发挥出的无可争议的重要支撑作用。2016年全域旅游概念的 提出明确了下一步我国旅游业发展的主要方向,并由此促进了旅游物流研究的进一步深化与 拓展。随着全域旅游的发展,旅游物流在与旅游产业相融合的广度和深度上都发生了显著的 变化:广度上全域旅游在旅游内涵上的拓展使旅游物流的时间效用和空间效用都得以延伸; 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Social Science, Education and Humanities Research, volume 351

Analysis the current situation of tourism traffic network in DuJiangYan city, large data technology is used to optimize the local tourist traffic resources and provide intelligent, personalized and diversified tourist routes. Under the support of fast travel travel framework, the aim of "slow travel" is achieved in combination with the local tourism infrastructure and cultural features of Dujiangyan. Finally, through the integration of the infrastructures and application services in "quick access" and "slow travel", the system of "quick access and slow travel" is formed.

On the basis of the review of researches about the tourism logistics and the grey relevance analysis method, the paper established the index system reflecting the development of tourism economy and logistics in Chengdu city. A grey relevance analysis model was constructed to guide the empirical study on the relationships of important economic indicators in tourism economy and logistics industry for this region. The conclusion was there was a close correlation between the development of tourism economy and logistics in Chengdu. Then suggestions were given to promote sustained, coordinated development of tourism economy and logistics in this region.

For the current express industry, the paper sets out to explore the causes of delay during transport-using the big data technology, collect appropriate freight data, and establish corresponding analysis indicators and corresponding training set, using Mat-lab and other tools for simulation and training, use the artificial neural networks, and build applications model to analyze the simulation results. It also implements the Logistics delay prediction for freight, and explain the Application Method in logistics decision-making and management system, and application prospects.

Big data promoted the development of Electronic commerce, but also brought all kinds of hidden dangers. This article took Taobao as the example, studied on the hidden troubles of big data in personal safety, national security, data sources, and credit and predicts behavior in the development of Electronic commerce. And then discussed the solutions against these troubles. In the big data time, we should understand the two-sided of big data, and make it serve us better.

It is very important to establish the assessment system of combining internal evaluation with external evaluation, process evaluation with result evaluation to improve the quality of ERP talent cultivation. Thus, this paper regards that it'll play very essential reference value to build the integrated evaluation system of the ERP talents cultivation based on AHP, which will improve the science and rationality of talent cultivation.

This paper mainly studies detection methods of knitted fabric at home and abroad, Comparison of various analytical methods of Image features; And cut apart the image into brochette, then analysis the image texture with the method of gray feature matrix, find out the best standard image; Realize the detection of pattern fabric density finally.

Audio in the video carries abundant semantic message. An audio scene is temporal audio segments which represented by a few basic audio effects. The semantic similarity of pair audio scenes is very useful for high-level audio semantic understanding. A computing approach for audio scene semantic similarity is proposed in this paper. Firstly, audio track is pre-segmented to audio scenes. Then, basic audio effects dominating each audio scene are recognized. Finally, the similarity of two audio scenes is calculated based on a model consist with information theoretic similarity principles and Tversky's set-theoretic similarity. The results of experiments indicate the audio scene semantic similarity computing approach could count quantitative semantic similarity of two scenes.