Linear Network Optimization

Based on TD-LTE (Time Division-Long Term Evolution), this book adopts the modular teaching mode and applies the eNodeB equipment of Datang Mobile TD-LTE. Through the specific tasks in each module, it presents such contents as base station products, equipment installation, wireless technology, network testing, network planning and optimization, etc. in a comprehensive and detailed way. This book is divided into four training modules, namely, TD-LTE Equipment Cognition, TD-LTE Key Technologies, Network Test, Network Planning and Optimization. After learning the four training modules, learners can master the basic contents involved in the operation and maintenance of the mobile communications system, such as the hardware structure, maintenance and testing of the base station equipment, network planning and optimization. This book aims to cultivate high-quality skilled personnel who master the testing and optimization skills of base station and meet the requirements of standardized field m

本書立足於思想政治教育學科前沿，著重引入和探討了思想政治教育研究的一種新視角。本研究將網絡輿論置於生態學視域下，對高校網絡輿論生態系統優化的基本內涵、思維特點、本真訴求進行了梳理，對輿論生態系統的發生要素、生成邏輯、演進機理探究分析。同時以外部性生成環境、內生性組織狀況、現實性演進困境三個角度揭示了當下高校網絡輿論生態系統的現狀，並試圖構建切實可行的優化機制和優化路徑等。

本書旨在幫助開發者應對AI推理計算性能優化這一重要挑戰。隨著深度學習模型的規模和複雜性日益增長，如何提升推理效率已成為開發者關注的核心問題。本書詳細介紹了OpenVINOTM(Open Visual Inference and Neural Network Optimization)這款由英特爾推出的，專為深度學習模型的優化、加速推理和跨平臺部署設計的開源工具套件。通過簡單易用的功能，開發者可以快速上手，實現AI應用的高效落地。本書涵蓋了從OpenVINO的基礎入門到高級優化的完整內容，包括設備插件、量化技術、大語言模型和生成式AI的優化與部署等，幫助開發者靈活應對不同應用場景的需求。此外，書中還介紹了端到端AI推理計算性能提升的實戰案例，以及與PyTorch、ONNX Runtime等工具的集成，確保開發者在熟悉的環境中提升開發效率。書中代碼獲取方式見前言。本書不僅適合AI領域的初學者，也為有經驗的開發者提供了深入的技術指南。通過OpenVINO，開發者可以輕鬆提升AI推理計算性能，加速AI應用項目的成功落地。