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360 Smart Cloud

Official service account of 360 Smart Cloud, dedicated to building a high-quality, secure, highly available, convenient, and stable one‑stop cloud service platform.

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Recent Articles

Latest from 360 Smart Cloud

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360 Smart Cloud
360 Smart Cloud
Aug 31, 2022 · Frontend Development

WebRTC Basics: Accessing Media Devices, Streams, Screen Sharing, and Recording

This article introduces WebRTC fundamentals, explains how to enumerate audio/video devices, describes MediaStream and MediaStreamTrack concepts, demonstrates using getUserMedia for media capture with constraints, shows screen sharing via getDisplayMedia, and provides code examples for recording and downloading video streams using MediaRecorder.

MediaDevicesMediaRecorderScreenSharing
0 likes · 9 min read
WebRTC Basics: Accessing Media Devices, Streams, Screen Sharing, and Recording
360 Smart Cloud
360 Smart Cloud
Aug 24, 2022 · Frontend Development

Common Big Data Scenarios and Front-End Techniques for Rendering Large Data Sets

This article explores typical big-data use cases such as real-time bullet comments and massive server-side data lists, analyzes why rendering thousands of DOM elements can cause page lag, and presents front-end solutions—including dynamic element creation, document fragments, and virtual scrolling libraries—to improve performance.

DOM optimizationFrontend PerformanceReact
0 likes · 9 min read
Common Big Data Scenarios and Front-End Techniques for Rendering Large Data Sets
360 Smart Cloud
360 Smart Cloud
Jul 29, 2022 · Fundamentals

Introduction to WebRTC Architecture, Core Concepts, and Multi‑Party Communication Solutions

This article provides a comprehensive overview of WebRTC, covering its origin, core architecture layers, basic audio‑video capture concepts, the process of a one‑to‑one real‑time call, and compares three multi‑party communication architectures—Mesh, MCU, and SFU—highlighting their advantages and drawbacks.

MCUMedia ArchitectureP2P
0 likes · 13 min read
Introduction to WebRTC Architecture, Core Concepts, and Multi‑Party Communication Solutions
360 Smart Cloud
360 Smart Cloud
Jul 14, 2022 · Cloud Computing

Auto Scaling (AS) in Cloud Services: Architecture, Use Cases, and Optimization Strategies

This article explains the concept of elastic auto scaling in cloud services, describes typical scenarios such as high‑elastic web apps and compute‑intensive workloads, details the four‑layer architecture and workflow, and outlines functional features, stability improvements, and future optimization directions.

auto-scalingcloud-computingelasticity
0 likes · 12 min read
Auto Scaling (AS) in Cloud Services: Architecture, Use Cases, and Optimization Strategies
360 Smart Cloud
360 Smart Cloud
Sep 30, 2021 · Artificial Intelligence

Understanding Computational Graphs and Automatic Differentiation for Neural Networks

This article explains how computational graphs can represent arbitrary neural networks, describes forward and reverse propagation, details the implementation of automatic differentiation with Python and NumPy, and demonstrates building and training a multilayer fully‑connected network on the MNIST dataset using custom graph nodes and optimizers.

Computational GraphDeep LearningPython
0 likes · 29 min read
Understanding Computational Graphs and Automatic Differentiation for Neural Networks
360 Smart Cloud
360 Smart Cloud
Sep 13, 2021 · Artificial Intelligence

Active Learning: Concepts, Workflow, Strategies, and Evaluation Metrics

Active learning addresses the high cost of labeling data by iteratively selecting the most informative unlabeled samples for annotation, thereby reducing labeling effort while achieving target model performance, and the article explains its fundamentals, relationship to supervised and semi‑supervised learning, common selection strategies, hybrid methods, and evaluation metrics.

Active LearningLabeling Cost ReductionQuery by Committee
0 likes · 7 min read
Active Learning: Concepts, Workflow, Strategies, and Evaluation Metrics
360 Smart Cloud
360 Smart Cloud
Aug 31, 2021 · Artificial Intelligence

Understanding Convolution, Convolutional Neural Networks, and Their Implementation in Image Processing

This article explains the mathematical concept of 2‑D convolution, demonstrates its use for image filtering with examples such as blurring and Sobel edge detection, introduces artificial neural networks and back‑propagation, and details the design, training, and performance of convolutional neural networks for tasks like Sobel filter learning and MNIST digit recognition, including full Python code examples.

CNNConvolutionDeep Learning
0 likes · 25 min read
Understanding Convolution, Convolutional Neural Networks, and Their Implementation in Image Processing
360 Smart Cloud
360 Smart Cloud
Aug 19, 2021 · Mobile Development

Setting Up a Unified Development Environment for Mobile Projects Using Homebrew, rbenv, RubyGems, Bundler, and Flutter Wrapper

This guide explains how mobile developers can create a consistent, project‑level development environment by using Homebrew for package management, rbenv for Ruby version control, RubyGems and Bundler for dependency handling, and flutter‑wrapper to standardize Flutter SDK usage across the team.

FlutterHomebrewRuby
0 likes · 9 min read
Setting Up a Unified Development Environment for Mobile Projects Using Homebrew, rbenv, RubyGems, Bundler, and Flutter Wrapper