Summary of Movement Control Of Smart Mosque’s Domes Using Csrnet and Fuzzy Logic Techniques, by Anas H. Blasi et al.
Movement Control of Smart Mosque’s Domes using CSRNet and Fuzzy Logic Techniques
by Anas H. Blasi, Mohammad Awis Al Lababede, Mohammed A. Alsuwaiket
First submitted to arxiv on: 13 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Systems and Control (eess.SY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a smart dome model to preserve the fresh air and allow sunlight into the Prophet’s Mosque in Medina, Saudi Arabia using artificial intelligence techniques. The model controls dome movements based on weather conditions and overcrowding rates in the mosque. The authors collect data from two sources: Saudi Arabia’s weather database and the Shanghai Technology Database. They apply Congested Scene Recognition Network (CSRNet) and fuzzy techniques using Python programming language to control the domes’ opening and closing times for a specific duration to renew the air inside the mosque. The model consists of several parts connected to control the mechanism, opening and closing domes according to weather data and crowding situations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a smart way to keep the Prophet’s Mosque clean and comfortable for worshipers. This paper shows how artificial intelligence can help with that by controlling the dome movements based on weather and crowd levels. The authors use special networks and fuzzy logic to decide when to open or close the domes, keeping the air fresh inside. |
