Building envelope optimization always occupies an important place in sustainable building design. This paper selects a large-scale space as research object, which requires more complex and flexible fenestration system. On the premise of complying with some rules, the fenestration is easily managed by adjusting the number and position of small rectangular patches on the grid-based exposed surfac...

The widespread application of distributed generation and electric vehicles are two important ways to save energy reduce emissions. Therefore, the location capacity vehicle charging stations particularly important. From perspective environmental protection, power has obvious advantages over traditional methods. Based on this, this paper establishes a model with lowest sum investment, operation m...

Understanding of many complex biological systems is limited both by incomplete models and limited empirical data. Accurate prediction of the behavior of such systems requires exploitation of multiple, individually incomplete, knowledge sources. Model-based adaptation is a technique for integrating case-based reasoning with modelbased reasoning to predict the behavior of biological systems. This...

We report on the University of Wisconsin, Madison’s experience in the TREC Genomics 2006 track, which asks participants to retrieve passages from scientific articles that satisfy biologists’ information needs. An emphasis is placed on returning relevant passages that discuss different aspects of the topic. Using an off-the-shelf information retrieval (IR) engine, we focused on query generation ...

Machine learning is the discipline of commands in computer machine to predict and expect results real application currently most promising simulation artificial intelligence. This paper aims at using different algorithms calculate compressive strength extrusion 3DP concrete (cement mortar). The investigation carried out multi-objective grasshopper optimization algorithm (MOGOA) neural network (...