This work introduces an innovative framework for interpreting the Shiji and other ancient Chinese historical writings. It explores the methodologies and analytical approaches that can enhance understanding of these texts, shedding light on their historical context and significance. The book aims to offer fresh insights into the narratives and structures of early Chinese history, making it a valuable resource for scholars and enthusiasts alike.
The book explores the intricate connections between four seemingly unrelated mathematical theories: the symmetries of Hessian polyhedra, the resolution of algebraic equations, Appell hypergeometric functions, and Picard modular functions. It reveals that these diverse fields are unified under the structure of the Hessian group '216, showcasing the fundamental unity within mathematics. This work serves as a complex counterpart to Klein's classic study of the icosahedron, highlighting the beauty and interconnectedness of mathematical concepts.
Due to the rising price and shortage of energy, energy efficiency has become a crucial global issue and a significant challenge for factories. It not only reduces costs but also contributes to environmental protection, making it essential to prioritize energy efficiency during the early planning phase. However, this aspect is often overlooked in factory planning. This dissertation proposes a new three-stage factory planning model that includes: (1) energy recovery network generation, (2) layout alternative generation, and (3) layout alternative evaluation and selection. Initially, an energy recovery network is established to reuse process heat, thereby reducing energy consumption. In the layout alternative generation stage, energy loss from pipes, transport performance, and space requirements are considered to create suitable layout alternatives. To tackle the multi-objective layout planning problem, a hybrid optimization algorithm combining NSGA-II with local search is developed, yielding a set of optimal solutions for decision makers to choose from based on practical situations and preferences. The evaluation and selection of layout alternatives, treated as a multi-attribute decision-making problem, is addressed using a method that combines fuzzy analytic hierarchy process (Fuzzy-AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Sensitivity analysis on decision weights and product demand furth