In the present papel; we simulate the time evolution of autumn coloring of both maple leaves and entire trees, and propose both biological and fractal models of this process. We calculate the amount of sunlight received on the leaves and propose the "autumn-coloring-logical-time " that is the temporal indicator of autumn coloring, then we use experimental biological data to calibrate the model parameters. Using the leaf fractalities, we adopt a chaos game algorithm or random iteration algorithm to render natural autumn colorings.bywords : autumn coloring, IFS, chaos game algorithm, biological model
Nowadays, it is thought important to make a decision based on data to use limited resources effectively. Strollers, one of the main targets of sightseeing places for children, are believed to be important for such places, but ticket sales or technology recently utilized are not suitable to grasp the movements of the strollers, therefore, this research focused on strollers through the use of a camera and artificial intelligence. We, first, recorded an entrance, and fine-tuned prepared models to create original object detection artificial intelligence. Then, we counted the number of entering strollers, and analyzed the entering patterns. We discovered several patterns, and suggest that there is a difference between strollers in the weekdays and weekends. Lastly, for future prospects, we mention two things, a real-time counting system with GPU installed small computers, and simultaneous counting of strollers' companions.
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