defi/dapp/IPPswap/LP算力分红系统开发(参考版)丨源码说明

简介:   简单来说,DAPP和普通的App原理一样,除了他们是完全去中心化的,由类似以太坊网络本身自己的节点来运作的DAPP,不依赖于任何中心化的服务器,DAPP是去中心化的,可以完全自动地运行。

  简单来说,DAPP和普通的App原理一样,除了他们是完全去中心化的,由类似以太坊网络本身自己的节点来运作的DAPP,不依赖于任何中心化的服务器,DAPP是去中心化的,可以完全自动地运行。

  1.What is DAPP(Distributed Application)

  DAPP is the abbreviation for Decentralized Application,also known as Distributed Application/Decentralized Application in Chinese.In other words,different DAPPs will adopt different underlying blockchain development platforms and consensus mechanisms,or publish their own tokens(or use universal tokens based on the same blockchain platform).

  The different underlying blockchain development platforms of DAPP are like the IOS system and Android system of mobile phones,which are the underlying ecological environment of each DAPP.DAPP is a variety of distributed applications derived from the ecosystem of the underlying blockchain platform and also a basic service provider in the blockchain world.DAPP is like an app to IOS and Android in blockchain.

  DAPP is the abbreviation for Decentralized Application,also known as Distributed Application/Decentralized Application in Chinese.Generally speaking,different DAPPs will adopt different underlying blockchain development platforms and consensus mechanisms,or publish their own tokens(or use universal tokens based on the same blockchain platform).An application that meets the following three conditions can be considered a DAPP(distributed application):

  1.Running on a distributed network;

  2.Participant information is securely stored and privacy is well protected;

  3.Decentralize operations through network nodes.

  With the development of smart contracts in the future,the organizations constructed by smart contracts will operate like real business societies.The decentralized organizational network formed in this way will become extremely complex and autonomous,and various forms will emerge:Dapp(decentralized application),DAO(decentralized self governance organization),DAC(decentralized autonomous company),DAS(decentralized autonomous society),without human intervention,Automatically run through pre-set business rules.

  DApp is an abbreviation for decentralized applications.In short,dApp is an application that runs on a blockchain or peer-to-peer(P2P)computer network rather than a single computer(or centralized server).

For example,dApps(also known as"dapps")are essentially like any other application or game you may have on a mobile device,with the main difference being that dApps are built and run on decentralized networks such as Ethereum.

相关文章
|
4月前
|
机器学习/深度学习 人工智能 算法
面向工业4.0的AI Agent多任务协作与调度系统设计
随着人工智能(AI)技术的飞速发展,智能制造成为现代工业的核心驱动力。传统制造系统在面对多任务、高频次和动态变化的调度需求时,往往效率低下。而基于AI Agent的多任务协作与调度机制为解决这一问题提供了全新思路。本文聚焦于面向智能制造场景中,如何通过AI Agent实现多任务协作调度,并引入强化学习方法进行算法优化。
|
芯片
STM32速成笔记(二)—GPIO
本文介绍了STM32的GPIO的配置和使用方法,并且给出了应用实例。此外,针对使用时可能遇到的一些问题给出了解决办法。
1040 0
STM32速成笔记(二)—GPIO
|
11月前
|
机器学习/深度学习 人工智能 算法
X-AnyLabeling:开源的 AI 图像标注工具,支持多种标注样式,适于目标检测、图像分割等不同场景
X-AnyLabeling是一款集成了多种深度学习算法的图像标注工具,支持图像和视频的多样化标注样式,适用于多种AI训练场景。本文将详细介绍X-AnyLabeling的功能、技术原理以及如何运行该工具。
2753 2
X-AnyLabeling:开源的 AI 图像标注工具,支持多种标注样式,适于目标检测、图像分割等不同场景
|
机器学习/深度学习 网络架构 计算机视觉
目标检测笔记(一):不同模型的网络架构介绍和代码
这篇文章介绍了ShuffleNetV2网络架构及其代码实现,包括模型结构、代码细节和不同版本的模型。ShuffleNetV2是一个高效的卷积神经网络,适用于深度学习中的目标检测任务。
302 1
目标检测笔记(一):不同模型的网络架构介绍和代码
|
人工智能 开发工具 计算机视觉
AI计算机视觉笔记三十:yolov8_obb旋转框训练
本文介绍了如何使用AUTODL环境搭建YOLOv8-obb的训练流程。首先创建虚拟环境并激活,然后通过指定清华源安装ultralytics库。接着下载YOLOv8源码,并使用指定命令开始训练,过程中可能会下载yolov8n.pt文件。训练完成后,可使用相应命令进行预测测试。
1186 4
|
JavaScript 前端开发 索引
JavaScript随手笔记---对比数组差异
JavaScript随手笔记---对比数组差异
JavaScript随手笔记---对比数组差异
|
存储 安全 JavaScript
探秘X-XSS-Protection头对抗跨站脚本攻击
探秘X-XSS-Protection头对抗跨站脚本攻击
818 0
|
数据可视化 Java Linux
数据导入与预处理-第7章-数据清理工具OpenRefine
数据导入与预处理-第7章-数据清理工具OpenRefine
|
机器学习/深度学习 人工智能 自然语言处理
大模型技术的 PPT 提纲及API数据返回展示
大模型技术的 PPT 提纲及API数据返回展示
822 0
|
PyTorch 算法框架/工具 C语言
Python调用C++代码
今天在研究PyTorch中Tensor的一些操作的时候,发现其底层Tensor的操作都是用C++写的,并使用[pybind11](https://github.com/pybind/pybind11)进行C++和Python的桥接。所以,我就想着探索一下Python中如何调用C++代码?
516 0