Chain Drugstore Management System Based on Internet

机译：基于Internet的连锁药店管理系统

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Starting from the background and practical significance of the research on the chain drugstore management system in the Internet era, this paper analyzes the business model of the chain drugstore, the relationship between the chain drugstore and the head

机译：从互联网时代连锁药店管理系统研究的背景和现实意义出发，分析了连锁药店的经营模式，连锁药店与负责人之间的关系。

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《International Wireless Communications and Mobile Computing Conference》|2020年|2079-2082|共4页
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作者
Yufang Zhu;
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关键词
Drugs; Information management; Industries; Databases; Companies;

机译：药品;信息管理;行业;数据库;公司;

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专利

1. An internet-based logistics management system for enterprise chains [J] . N. Prindezis, C.T. Kiranoudis Journal of food engineering . 2005,第3期

机译：基于互联网的企业链物流管理系统
2. SECURE INFORMATION SHARING IN INTERNET-BASED SUPPLY CHAIN MANAGEMENT SYSTEMS [J] . CHEN ZHANG, SUHONG LI Journal of computer information systems . 2006,第4期

机译：基于互联网的供应链管理系统中的安全信息共享
3. Improving Green Supply Chain Management in Furniture Industry Through Internet Based Geographical Information System for Connecting the Producer of Wood Waste with Buyer [J] . Aries Susanty, Diana Puspita Sari, Wiwik Budiawan, Procedia Computer Science . 2016,第1期

机译：通过基于Internet的地理信息系统连接家具废料的生产者和购买者，改善家具行业的绿色供应链管理
4. A Survey on Blockchain-Based Identity Management Systems for the Internet of Things [C] . Xiaoyang Zhu, Youakim Badr IEEE International Conference on Green Computing and Communications;IEEE International Conference on Cyber, Physical and Social Computing;IEEE International Conference on Internet of Things;IEEE International Conference on Smart Data . 2018

机译：基于区块链的物联网身份管理系统的调查
5. Internet-based E-commerce adoption for supply chain management among United States apparel companies. [D] . Shen, Liuying. 2003

机译：基于互联网的电子商务在美国服装公司中进行供应链管理。
6. A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management [O] . Mabrook S. Al-Rakhami, Majed Al-Mashari 2021

机译：基于区块链的信任模型供应链管理
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Chain Drugstore Management System Based on Internet

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