当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
。オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
Dafna Fisher-Gewirtzman
Buildings have been reused throughout history. The current discourse of diverse trends in preservation together with awareness for sustainable environments has led to a surge in adaptive reuse projects. The combination of new and old architecture ensures the retaining of authentic character while providing an appropriate new use and revitalizing the structure. Learning from precedents is one of the most important knowledge bases for architects. It has many layers of knowledge referring to the old building and its original use, the transformed building and its new use, and the transformation itself. The objective of this work is to propose a theoretical and practical background for a systematic process to support adaptive reuse architecture precedent E-learning. A procedure for the analysis has been developed to fit the specific nature of this architecture data. This paper is presenting the analysis principles and demonstrates the system as a powerful infrastructure for E-learning.