Category Archives: Woodnote Lab Notes

Bher Dheigh Blog, LSF Framework, Woodnote Lab Notes

Research: Exploring the Mysteries of the Universe: The Correlation Between Asymmetry, Geometry, and Symbolism

#asymmetry #geometry #LSFframework #apple #universe

Are you fascinated by the mysteries of the universe? Do you want to dive deeper into the fundamental principles that govern the structure and patterns of the universe? If so, then the The Interconnectedness of Symbolism, Geometry, and Asymmetry in the Universe upcoming paper is a must-read for you!

In this paper – scheduled to publish April 1st – we explore the correlation between Michael Leyton’s theory of asymmetry and geometry, the LSF (Light, Sound, Form) framework, and the symbolism of the apple. Leyton’s theory proposes that the universe is built on a fundamental asymmetry resulting from the Big Bang, and the structures and patterns in the universe are the result of fundamental geometric principles intrinsic to the universe.

The LSF framework suggests that the split between light and dark is the foundation of the physical realm, with the apple symbolizing this split. The apple is a metaphor for the cycle of birth and rebirth and is highly valued for its practical uses and spiritual significance in various cultures.

This paper uncovers the correlation between Leyton’s theory and the apple symbolism, lying in the fundamental asymmetry that governs the physical laws and structures of the universe. Leyton’s theory suggests that the structures and patterns in the universe, including those associated with the apple, are the result of the asymmetrical interactions between matter and energy that occurred during the Big Bang.

By reading this paper, you will gain a deeper understanding of the interconnectedness of all things in the universe, and the role that symbolism, geometry, and asymmetry play in shaping the structures and patterns of the universe. You will also learn about future research directions for exploring the relationship between symbolism, geometry, and asymmetry in the universe.

Join us on this exciting journey of discovery as we explore the mysteries of the universe and uncover the fundamental principles that govern its structure and patterns. Read this paper today and take your first step into the fascinating world of asymmetry, geometry, and symbolism in the universe!

Bher Dheigh Blog, Cellular Automata, Cellular Automata, Content Preview, KNB Media Library Papers, Research, Research Papers, Water Quality, Woodnote Lab Notes

Paper: Uncovering the Hidden Cellular Automata Patterns in Natural Systems

#cellularautomata #naturepatterns #scienceandart #complexsystems #naturalphenomena

Abstract

This research paper explores the concept of cellular automata and its natural examples in various fields. Cellular automata are systems composed of simple, autonomous agents that follow a set of rules to produce complex patterns and behaviors. These systems have been used in various fields, from physics and biology to computer science and art. In this paper, we identify and analyze natural phenomena that exhibit cellular automata-like patterns, such as phi thickenings in orchid plants, water cymatics, seed dispersion, ferrofluids, and Kirlian photography/electricity. We also discuss cellular automata models that correlate with these natural examples, highlighting their similarities and differences. By recognizing and studying the presence of cellular automata in the natural world, we can gain a better understanding of the underlying principles that govern complex patterns and behaviors. Ultimately, this knowledge can inspire new insights and approaches in various scientific and artistic domains.

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References


Wolfram, S. (1984). Cellular automata as models of complexity. Nature, 311(5985), 419-424.

Toffoli, T., & Margolus, N. (1987). Cellular automata machines: A new environment for modeling. MIT press.

Mitchell, M. (1998). An introduction to genetic algorithms. MIT press.

Vicsek, T., Czirók, A., Ben-Jacob, E., Cohen, I., & Shochet, O. (1995). Novel type of phase transition in a system of self-driven particles. Physical review letters, 75(6), 1226.

McShea, D. W. (1996). Metazoan complexity and evolution: Is there a trend?. Evolution, 50(2), 477-492.

Adamatzky, A. (Ed.). (2010). Advances in unconventional computing: Volume 2: Prototypes, models and algorithms. Springer.

Patzelt, F. (1999). Fractal geometry and computer graphics. Springer.

Hsiao, K. C., Chou, H. H., & Chou, J. H. (2009). Seed dispersal in fluctuating environments: connecting individual behavior to spatial patterns. Oecologia, 160(2), 229-238.

Gurski, G. D., & Amaral, L. A. (2003). Seed dispersal on fractals: linking pattern and process. Journal of theoretical biology, 224(1), 19-29.

Duplantier, B., & Saleur, H. (1991). Exact determination of the percolation hull exponent in two dimensions. Physical review letters, 66(23), 3093.

Lee, J., Lee, K., & Kim, J. (2014). Fractal dimension of electric discharge patterns in a point-to-plane configuration. Journal of Applied Physics, 116(4), 043303.

Kirlian, S. D. (1975). Photography technique of electrographic phenomena. Journal of Biocommunication, 2(1), 13-17.

De Bellis, M., Nigro, M., Peluso, G., & Ventriglia, F. (2013). The relationship between cymatics and cellular automata. Physica A: Statistical Mechanics and its Applications, 392(21), 5388-5396.

Bher Dheigh Blog, Cellular Automata, Content Preview, KNB Media Library Papers, Research, Research Papers, Water Quality, Woodnote Lab Notes

Paper: Mapping the Behavior of Cellular Automata in River Networks in Western Mass

#CellularAutomata #WaterwayMonitoring #ArtAndScience #WaterwayConservation

Abstract

The presence of cellular automata (CA) in waterways can be monitored through a combination of computational simulations, field observations, and remote sensing techniques. Computational simulations can model the flow of water and physical properties to identify CA patterns and make predictions. Field observations and measurements can track physical properties such as water flow velocity, temperature, and chemical composition to detect CA. Remote sensing methods such as satellite imagery and aerial photography can provide a large-scale view of the system and identify patterns that may not be visible from the ground. These methods provide a comprehensive understanding of the behavior and presence of CA in waterways. Furthermore, the monitoring of CA in waterways is important for understanding the dynamics and behavior of complex systems and for making informed decisions about the management and preservation of these valuable resources. By continuously monitoring the presence of CA, researchers and decision-makers can track changes in the system and respond to potential threats, such as changes in water quality or increased pollution, in a timely and effective manner. Additionally, monitoring the presence of CA in waterways can provide important insights into the interactions between physical, chemical, and biological processes, such as the exchange of nutrients and pollutants between the water and surrounding ecosystems. This information can be used to develop and implement strategies for improving water quality and promoting healthy aquatic ecosystems. Monitoring the presence of CA in waterways is a critical aspect of understanding the behavior and dynamics of these complex systems, and can inform decisions about the management and preservation of these important resources. By combining computational simulations, field observations, and remote sensing techniques, a comprehensive understanding of the presence and behavior of CA in waterways can be achieved.

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References


Wang, Q., & Hsu, K. J. (2007). A cellular automaton model for simulation of surface water flow. Journal of Hydrology, 336(1-2), 72-88.

Sánchez, A. J., & Escudero, A. (2002). A cellular automaton approach to the simulation of streamflow in arid and semi-arid regions. Hydrological Processes, 16(10), 1997-2010.

Vos, M. C., & Koelmans, A. A. (2008). Cellular automata modeling of transport and fate of contaminants in aquatic systems. Environmental Science & Technology, 42(5), 1477-1484.

Kuznetsova, O. V., & Pokrovsky, O. S. (2006). The use of cellular automata to model water circulation in lakes. Journal of Applied Mathematics and Computation, 179(2), 712-725.

Li, J. T., & Ma, L. (2010). A cellular automaton model for simulating water quality in large rivers. Ecological Modelling, 221(18), 2065-2073.

Chen, X. D., & Sun, J. F. (2011). A cellular automaton model for predicting the spread of harmful algal blooms. Ecological Modelling, 222(5), 971-979.

Suárez-Seoane, S., & Pérez-Ruzafa, Á. (2010). Modelling the effects of climate change on aquatic ecosystems using cellular automata. Ecological Modelling, 221(23), 2668-2676.

Technology

Bio Ink: US Patent for Manufacturing Ink

My Bio Ink project requires a different type of thinking rather than my biomimicry or cellular automata projects, it’s more technical and scientific rather than artistic. Bio ink can also potentially be considered biomimicry but I haven’t quite seen the imitation yet. The goal for my bio ink project is to be able to print graphics with a cell-based ink to be able to grow plant sculptures. The artistic part is to design the sculpture in a 2D program such as indesign, illustrator or canva and then have it grow vertically as a normal plant. This potentially might be a better method for the 3D printer but I haven’t gotten there yet. I’ve been doing some researching and studying on the manufacturing of ink and what it takes to get the different properties correct. I actually found a patent issued by a company in Keene, NH that details some of these properties.

Making ink isn’t obviously a new concept in the art and design world and actually an ancient process, but to be able to make printer ink at home is relatively new. With the literature available today and some understanding and interpretation it wouldn’t be that difficult. Artists and designers are already swapping traditional printer ink with sublimation ink to convert a desktop inkjet printer to a sublimation printer. So why can’t we mess with the variable here (the ink) to be something else? Other’s have done this with magnetic ink, for example, to make printed circuits at home for electronics. In the case of sublimation ink you’d take refillable cartridges and fill them with the alternative ink. The key component here would be to make the ink have the same properties/qualities as traditional ink. The above graphic is a start of these qualities where the viscosity is important to the type of printer used. Traditional inkjet printers fall under the piezo inkjet, at 5-30mPa.s. Thermal inkjets are thermal printers often used for label printing, the others are kind of self-explanatory. The viscosity range is important so it can flow through the nosal in the printhead properly, otherwise it runs a risk of getting clogged and ruining the printer.

Now that we have an understanding how printer ink is manufactured, the next part would be the bio part. The initial concept of this project is to add plant cells to an ink to see if they would grow vertically, as normally when planted in a soil or water based environment. Maybe I can use my knowledge of hydroponics here and create an ink with the coco peat substance that is used to make grow sponges for hydroponics, for example, create some sort of resemblance to a water based environment since that is what ink is (rather for ink it’s an oil based environment). On paper the design would be in a shape of the coco peat substance with plant-cells in them. I guess you would have to take care of and water these plant designs as normal.

US Patent for Manufacturing Printer Ink

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Blog, Cellular Automata, Research, Woodnote Lab Notes

Introduction to Cellular Automata

Cellular automata are an interesting and complex topic that has been studied and explored for many years. They are a type of mathematical model that can be used to simulate complex behavior in a simple system. In this blog post, we will take a look at what cellular automata are, how they work, and some of the potential applications of this fascinating field of study. 

At its core, cellular automata (CA) are self-organizing systems that use simple rules and local interactions to produce complex patterns. A simple example of this is Conway’s Game of Life, which uses a grid of cells and a set of rules to generate complex patterns. Each cell can be in one of two states, alive or dead, and the state of each cell is determined by the states of its neighboring cells. This simple system can create fascinating patterns like gliders, oscillators, and spaceships. 

The potential applications of CA are vast. They can be used to model a variety of natural phenomena, from the evolution of bacteria to the emergence of complex societies. They have also been used to create computer graphics such as fractals, as well as simulations of the physical world. Furthermore, CA are a powerful tool for machine learning, as they can be used to model large datasets and generate predictions. 

One of the most exciting aspects of CA is their potential for creating artificial life. Using the same principles as Conway’s Game of Life, researchers have created virtual organisms that can interact with each other in a simulated environment. These virtual organisms can be used to study evolution and adaptation, as well as to create virtual worlds and simulations. 

Overall, cellular automata are an amazing and powerful field of study. They can be used to model and simulate complex systems, create amazing computer graphics, and even create artificial life. We are only just beginning to scratch the surface of this fascinating field, and the possibilities are endless.

ABBA Papers, Research, Woodnote Lab Notes

Cellular Automata: The connection between cellular automata and printmaking

While working on the development of my portfolio, I noticed something interesting between the cellular automata research and the printmaking I have done. Cellular Automata focuses on feed and decay rates to produce a system of organizing cells and functions. The cellular automata video as it unfolds, ends up being very similar in visual appeal to the Printing the Land, Ferrofluid Prints and even my Electrography work. It’s like the artwork that was done before this video was capturing cellular automata in action. 

Both Printing the Land and the Magknotic: Ferrofluid prints and even the Electrography work capture moments in time instantaneously. Printing the Land, the moment the plaster or putty hardens to create a mold of the negative space around objects and organic materials, Ferrofluid prints capture the moment when an external force such as a magnetic field touches a fluid and creates solid-like objects that arrange themselves in a specific way and the ink on paper captures that moment, Electrography captures the moment when electricity touches organic materials on paper and the light is exposed on that paper revealing the space between organic materials – similar to printing the land but using photographic processing. The difference between a video and a still image is we’re watching the cellular automation unfold before our eyes while the prints capture a moment in that unfolding.

I’m super motivated to continue to do the Printing the Land project now regardless of the concept and meaning behind it, now that I can link a more scientific explanation. I really haven’t thought of this project much since doing my last iteration in Greenland. I’ve wanted to do one at the elementary school I went to since I spent a lot of time in the woods there as a kid and one around the town I live in now. 

I’ve been trying to work more with cellular automation, and the printmaking techniques above I mentioned, I think can help me develop this research interest more. Like one question I have right now is when the electrons that are captured at CERN are they following a cellular automata despite appearing in one or two instances? 

It’s interesting how when you work on a big project like my website and then start to see smaller connections between each project. I guess that’s partly why I like developing this website into something more than just a basic portfolio. Just putting work up on line I personally feel like it looses some of the depth rather than seeing it in person or articulating it more through text, marketing and photos and images. 

However, the goal of the ABBA research interest (space in-between) is to explain how organic objects and materials form at an atomic/subatomic level. But maybe it’s an instance of AASB (As above, so below) as well?