本文对寒冷地区某高校一栋教学楼进行温湿度实测，并通过问卷对教室的热、声环境进行使用后评价，实测温度表明，多数教室基本达不到18℃，湿度也较低。主观问卷结果表明，与温度满意度相比，学生对噪声的满意度更低，消极影响更多。

Different from the existing empirical landscape measurement methods, this article explores an effective method to quantify the landscape through the use of computer vision perception. First, based on image semantic segmentation technology, a large number of excellent case images are put into image semantic segmentation and annotation tools for image segmentation. Secondly, the image semantic segmentation is used to quantitatively analyze the landscape space elements of the old urban site, and obtain the data value of each landscape element in the excellent case, which provides a reference for the design of the element ratio data basis. Finally, it is applied to the street space in the old city of Macau to perform a quantitative analysis of the computer vision perception of the streets in the old city. Get quantitative suggestions for landscape improvement, and provide new methods for quantitative research and transformation of old urban areas. 

岭南建筑是中国古典建筑流派类型的重要组成之一，作为最具岭南特色的岭南建筑屋面，其保留与修缮技术尤为重要。本文以岭南古建屋面之瓦片与排水修缮技术为主要研究对象，从岭南环境特点为背景，通过梳理屋面瓦片形态与材质类型、分析屋面铺瓦形式与屋面排水之间的关系、补充传统瓦片制作工艺等方面的研究分析，总结出较为有效的屋面修缮技术，为岭南古建筑屋面修缮提供可实施性的应用参考。

岭南历史建筑中随处可见彩色玻璃的应用，尤其是在需要大面积采光的门窗位置会使用一种独特的艺术玻璃花窗作为通风采光之用，被称为满洲窗。本文从岭南地区彩色玻璃使用的历史为背景，首先梳理广州地区彩色玻璃类型与工艺发展。其次，归纳蚀刻玻璃画的制作过程。再次，通过在岭南历史建筑满洲窗中的使用，挖掘彩色玻璃在满洲窗中的应用规律。最后得出彩色玻璃在满洲窗中应用的基本组合方式。这些规律与方式不仅可为岭南历史建筑的修缮提供参考，也可以为现代建筑的开窗形式与艺术化营造提供新的启发。

这个主题引入了两个关键的技术：CGAN和城市形态要素。生成对抗网络（CGAN）是一种强大的机器学习方法，它结合了生成模型和判别模型的能力。我们可以利用CGAN来模拟和生成城市病例分布的可能性，从而提供重要的决策支持。另一方面，城市形态要素包括了城市的空间布局、建筑密度、交通网络等因素，这些要素与病例传播密切相关。通过将城市形态要素与CGAN相结合，我们可以更准确地预测病例的分布情况，并为城市规划者和决策者提供有力的指导。

在葡萄牙帝国的海外扩张和文化交融影响下，澳门已跃身成为 16至 17世纪东方海上重要的国际贸易港，密切联系着葡萄牙在亚洲管治的港口城市。本研究旨在引入以机器学习为核心技术的比较城市形态布局的新方法，并探索将城市形态分析与机器学习技术相结合的可能性和潜力。其次，通过城市形态学理论和机器学习相结合，从葡萄牙城市地理信息图中裁剪处理成城市形态的样本，进一步提取港口城市区域的形态特征，建立训练标签作为典型的葡萄牙城市肌理，最后使用 YOLOv4目标检测算法，将结果与亚洲丝绸之路典型港口城市印度果阿、马来西亚马六甲、中国澳门以及东帝汶帝力进行对比，得到葡萄牙传统城市影响下的亚洲海丝港口城市形态的异同之处，揭示海上贸易与城市形态之间的关联性。

Multi-source data analysis and calculation is an important part of urban planning and urban governance. Taking the Northern District of Macau as an example, this study combines spatial syntax with POI data based on multiple indicators such as the integration, selectivity, and depth of the urban road network, and aggregates the spatial characteristics and functions of urban roads on the basis of multi-source data. The spatial coupling relationship is evaluated, and suggestions for optimizing the urban road network and functional layout are proposed, aiming to provide methodological reference and guidance for the urban planning, functional layout, and development and construction of high-density urban areas.

Different from the existing empirical landscape measurement methods, this article explores an effective method to quantify the landscape through the use of computer vision perception. First, based on image semantic segmentation technology, a large number of excellent case images are put into image semantic segmentation and annotation tools for image segmentation. Secondly, the image semantic segmentation is used to quantitatively analyze the landscape space elements of the old urban site, and obtain the data value of each landscape element in the excellent case, which provides a reference for the design of the element ratio data basis. Finally, it is applied to the street space in the old city of Macau to perform a quantitative analysis of the computer vision perception of the streets in the old city. Get quantitative suggestions for landscape improvement, and provide new methods for quantitative research and transformation of old urban areas.

The traditional data center built in the early stage has gradually no longer adapted to modern green requirements and performance requirements, so it needs to be updated. This paper takes a data center in Shanghai, China as an example, through the author’s practical engineering research, summarizes the engineering measures of transforming a traditional data center into a modern green data center, and proposes the update of the ceiling, ground, wall, air, waterproof and fire protection system in the data center. Suggestions for renovation.

Historical buildings embody urban culture and must be revitalized to suit modern needs. Using Foshan Lingnan Xintiandi as a case study, we analyze the spatial patterns of traditional Lingnan residential buildings through space syntax calculations. By optimizing the space using space syntax, we cater to the requirements of food and beverage operations. This research aims to offer insights into renewing and activating historical buildings while prioritizing functionality and human experience.