When I grew up, personal computing was just being born. People could build their own computer if they wanted. The world was turning from natural of fuzzy logic & analogue to the artificial of crisp logic & digital, and people dreamed of super computers to solve the world’s problems.
Today, we are becoming wiser of the times. Our creative youth is missing the educational advantages of building machines for themselves. We are learning that using artificial logic & measurements, is so much more resource intensive than we thought. That the super computers of Quantum and Artificial Intelligence, are taking too long and are falling very short of our dreams.
I have been reading of the return to the logic of our fore fathers, the realisation that the artificial is too limited to describe the real natural world. That we need at the very least a stepping stone for the here and now, at the very most a new technological pathway to our future.
In answer to this, I looked back at how both Eastern and later on Western cultures, have dealt with the integration of logic, mathematics, and technology into the real world. So, I studied nature and how things interact in the real world, and I studied the human logic and philosophy, to understand our way of understanding before the artificial viewpoint took over.
I then went on to design a model of the universe, that joins everything together. While many great minds have tried and failed, it was in the simpleness of nature and human logic that held the key. As Humans, we have a name for everything, which can be catalogued into a library system. We have a understand of cause and effect on any object upon any other object. We have the mathematics to model fuzzy logic, and digital fingerprinting, to make our observations produce a unique observation in the model, and the ability to make the model dynamic and representative of the real world.
The mechanics of this model, produced a digital hash (digital fingerprint), which is a distance preserving discrete cosine transformation (DCT), which is the natural world’s equitant of binary / boolen, but can produce unique numbers with inputs much greater than ones & zeros. By using a peer relativity transformation, in partnership with the digital fingerprint, large volumes of data can be compressed, and have a true representation of the original data. By modelling the knowledge universe on the same structure as the galaxies, solar systems, planets and moons, their position gives the topic, impact, and construct of any object and thought. After all, everything is really a construct of a complex patterns of simple commonalities.
这个模型的机制，产生了一个数字散列（数字指纹），这是一个保留离散余弦变换（DCT）的距离，这是自然世界的二进制/ boolen的等价物，但可以产生输入远大于1和amp的输入的唯一数字。 ;零。通过使用对等相关性变换，与数字指纹相结合，可以压缩大量数据，并且具有原始数据的真实表示。通过在与星系，太阳系，行星和卫星相同的结构上对知识宇宙进行建模，它们的位置给出了任何对象和思想的主题，影响和构造。毕竟，一切都是简单共性的复杂模式的构造。
Finally, the technology & logic was just not able to truly accommodate such a model, and deal with the complexity and speeds to achieve a true real-world outcome. Plus, it needed to be an extension of the natural world.
So, I went looking for the first language, a language that is universally used, transcends the narrow populations of humans / robots, that even the animals, and to some degree if they can’t understand it, at least speak it. It turns out that electromagnetic energy, which produces waves of light, is the universal prime language, which we and the animals understand, before any other language impacts upon us.
I developed Chromamathic as a data processing process, that is based on light transmission and colour. It can achieve up to 99.3% compression rates on text files, it can encrypt text into mosaic art works, which is near impossible to decrypt, it can provide the visualization of patterns, and turn data sets into works of art. It can also transfer data at the speed of light, where it can produce and transmit 3 pieces of data at 1 bit, where conventional computers can only produce and transmit 1 piece of data at 8 bits. It also means that mobile control systems, can be programmed on the floor they roll over, or by pulsing lights, rather than carrying the heavier electronics with Bluetooth, WIFI, or memory storage devices. It can also lend itself to experiments by primary school children. It can also be used to undertake mathematical operations.
Unfortunately, with the resurgence of analogue computing still developing modern technology, and the world’s dependence on digital technology, the best option is to develop hybrid computing for proof of concept.
The digital hash is used by several government departments and some commercial groups.
The distance preserving hash generates a number, which can only be achieved by the combination of unique values and variables in the sequence. Because the sum of each part of the sequence is dependent on the sum of the preceding values, to generate the next value in the sequence.
The peer relativity transformation, reshapes the distribution into a number of groups / clusters, which is not restricted by standard deviation or outliers. This transformation incorporates the relativity of each value within its own variable.
Capstone is a combination of both the peer transformation and digital hash. This becomes a within group / between group design, which represents an observation with 2d coordinates with applied to a dataset, or 3d coordinates when applied to a hierarchical model. Such as, when applied to a system of systems approach, where each calculated value represents a group of raw values from child hierarchy, it positions itself relative to its current position and then represents itself to the parent hierarchy.
The capstone is used to profile using big data datasets, to put entities into manageable groupings / clusters. The capstone was used to model and predict rain fall patterns, based on data feeds from geographical locations other than the location being predicted.
I then applied the capstone to a 3d fuzzy logic mapping system of nodes within a globe frame work, where the reference points corresponded to a knowledge-based frame. This was written in x3dom and is displayed in HTML5 environments. The relativity of the technique is represented within the quasi fractal nature of the data representation, where a globe sits in side a globe, which sits alongside a number of globes. The final webpage shows the whole thought construct, with the ability to zoom into the child nodes, bringing up metadata, and centring the viewpoint / rotation point to the relative node.
The first coloured light transfer was 3 clear Light Emitting Diodes (LED) passing light waves through a bypass filter of red, green, yellow, and blue. These light waves were passed down a tube and into a receiver with Light Variable Resisters (LVR) at the other end, which displayed a number of analogue meters. As different colours were produced, the meters changed values. The premise was that if there were 3 sensors connected to the LED’s, you can get over 16 million combinations. The light travelling through the bypass filters set at the same frequency at either end of the tube, would receive the data single, and would action a response through a relay. This was a pure analogue circuit using fuzzy logic on a continuous transmission wave data point, from three emitters to three receivers, but using a single data channel.
The next step was to swap out the LVR’s to a digital camera, inside of android phone app. The App is a mini tool box of Chromamathic data processing, in a test bed for people to try and see how Chromamathic works. The phone app uses the camera to record colours and converts them to their raw values, displays the colours, and records them in a csv file, and generate a colour mosaic file. This is then used to record wave variations based on a time index. One of the first tests, was to see cars moving along a freeway, which gave an indication of the size of the vehicle and the speed of the vehicle passing by. The same approach was used to record sea wave patterns, to map wave patterns, and clouds to map rain / storm risks. It has also been applied to wind speed and earth quake / ground vibrations, by recording the movements of a coloured wheel, and the camera as a fixed point with vibration buffers to establish a fixed point. The camera was also used to detect fashion trends for colours, and using a spectrographic astronomy lens to record the chemical signatures of materials, by their reflected light. A type of homemade spectrograph.
The next tool is a motion detector, that records the phone movements in 3d space. This can then record the slight movement of the phone rotation along 3 axis. This then maps the movement in colour. The main tested application was with riding a horse, where the movements were tracked of a horse doing a number of different movements. For example, walking, jogging, trotting, and cantering. As well as changing direction. This then allowed for the visual inspection of round yard training session, where changes in the horses exercise pattern were detected. This allowed for early analysis of possible oncoming lameness, as well as other health issues. Another experiment was to strap the phone to a pushbike, and record training sessions along a bike track on the side of a freeway. By repeating the same path over several days, if became possible to see small variations in the colour, when the mosaics were placed side by side.
Another tool was a sound recording device, to map the volume in 3 different frequencies bans, and display them as a single colour.
The final tool was a text encryption system, which takes some text messages and then converts them into a coloured mosaic. While the simple tool is for fun, as it only uses a single encryption sequence, there are other methods to make the message virtually unbreakable.
Each tool produced a coloured mosaic and a csv file. The application was able to produce and read the image file. Hence, a data stream can be collected, coloured, sent via email or SMS and then decoded at the other end.
The next stage of development was to build a hybrid home photonic clustered computer (Super Computer), which uses both digital and analogue to process data using coloured light in the transfer and calculation processes. I was able to build a working pilot model for under $1000 AUS, by connecting three raspberry pi’s together using a ccd camera and a bank of LED’s to transfer data from one unit to another. This is written in python code, and only uses a few basic packages. This is intended to be a teaching tool in the classroom, for primary school students to be able to experiment with optical computing, which incorporates fuzzy logic and coloured lights.
Python code has been written to produce and extract data from the coloured mosaics, as well as t generates the CSV file. Unlike the future Quantum computers, this is a portable low-cost unit, which can be powered of a very small USB power supply bank. The unit fits inside a larger size brief case, and uses portable wireless miniature keyboards. The cluster is encased in a Perspex frame, so you can see the LEDS at work.
In justification of my approach, I am not the only one talking about such changes on the technology landscape. The USA government is already talking about the failure of Quantum to meet expectations in a timely manner. The head of IBM research, is saying that there is not enough power in the worlds power grids to support the expected power needs of super computers in next 20 to 30 years. Even Jack Ma, says that current computing isn’t able to meet his company’s needs. Perhaps he means that current technology is failing, and perhaps we need a new direction in computing. perhaps this is it!