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Computer Engineering requires you to know a vast array of programming languages, as well as utilizing different technologies in order to design hardware, or manage databases. It can often be identified as the cross between Information Technology and Electrical Engineering. What I learned is that you don’t have to only know C and C++, but you will also be required to learn more, especially working into the Hardware, Software, and Database side. Softwares you need to be familiar with include Visual Studio, and sometimes Open Source technologies. All in all I learned a great deal of knowledge from the people in which I talked to. I learned that Computer Engineering and related fields, have an impact on technological advancements, as well as making the world an easier place to live. I learned the overall power of different subjects in the fields such as utilizing UML language, Blockchain Technology, Javascript, Python, and the power of Linux. Some of these, I may present in throughout this paper. The purpose to this paper is to inform the average user about what is in the field, what Computer Engineers do, as well as the powerful research and impact of the field. By the end of this paper, I hope you have a beginner’s expertise on the implications of this widely known field.

A basic summary as part of future research I am planning to do on this: The Ives-Stilwell experiment was a test of the contribution of relativistic time dilation in the Doppler Shift of Light. However, he uses relativistic measurements to try to test Einstein’s theory and prediction of the Doppler shift rather than classical measurements (aka pre-relativistic physics measurements) making a theory that seems like correct actually incorrect. Now I must explain my hypothesis in this as well as what the Ives-Stilwell experiment is and how it can be looked at as a contribution in physics if tested correctly but a flaw when it has been tested indirectly in terms of testing, and experimenting with the so called theories in physics today. I will explain to you how this can change the world of physics if my hypothesis was to be correct.

Whitepaper on the CrowdCoin protocol.

Users who invest in cryptocurrency often have little visibility of where the value of their investment went. There are no mathematical standards for cryptocurrencies to evaluate value at this time, resulting in a lack of stabilization within the market. Currently, faster miners must limit themselves while mining some currencies to allow the market's hash rate to keep up, which dramatically increases spend or withdrawal time.

This is why we’ve created CrowdCoin. CrowdCoin’s mission is to stabilize the cryptocurrency market with its new hash of proof algorithms. 

Much like Bytecoin, CrowdCoin can create more blocks and mine much faster, and it is capable of being mined similar to the processes of verifying Satoshis or Ether's Finneys. Also, it can be mined by ASIC, Non-ASIC or cryptonote compliant hardware. Because of this new standard, all cryptocurrencies will be more spendable and have faster transaction time after the cryptocurrency market embraces CrowdCoin

Designing products and services for the manufacturing world. A paper I led the drafting of with some classmates.

When talking about designing products for services, we decided to look at the different perspectives that this requires from a management standpoint. We believe that it isn’t only important to make it production ready, but also keep in mind regulatory requirements and how you will support the consumer afterwards. This paper includes topics related to this as well as, the lean design process, ISO requirements, Six Sigma, and OHSA requirements. We also provide a real-world example of “Company G” based of an already existing company that is supplier and manufacturer heavy. We also wanted to go in depth on how this ties in all together and give readers the big picture of these processes on the assembly line, when dealing with suppliers, as well as final operation and product distribution.

The components of what makes Lonero unique is split into four different parts: The HashBolt Master-node consensus, the DAO integrations, Cryptonote’s ring signature integration, and multipath layer security. In terms of the masternode consensus, we aren’t only allowing both ASIC and Non-ASIC systems to profitably mine our cryptocurreny. We are also granting large server inf rastructures and x86 computer systems an easier way to mine Lonero. The DAO integration that we are doing is less of an organization and more of an integrative, curated, and regressional artificial intelligence. We set parameters that prevent spamming or abusing of the system to curate within our network and provide a
non-redundant experience for our users. This allows us to be fully private, without running into compilations in our infrastructure or allow usage Lonero in crypto-jacking or distributed bot nets.

We aim to be one of the industry’s first privacy coins that is institutionally compliant while still allowing a libertarian like usage. We support an open free market for our users as Lonero truly is, as stated, the future of digital cash. The utilization of cryptonote’s ring signatures, while allowing multi-path layer security creates higher technological stability among the transactional usage of our cryptocurrency. Over time, we aim to be secure enough where financial institutions and FinCEN regulated entities would allow an integration of our system amongst theirs.

Our masternode consensus known as HashBolt allows for an extremely decentralized crypto. It wouldn’t just break traditional hardware mining barriers, but components such as difficulty targets don’t solely determine technological value. Some mathematical components of our crypto can also be solved by building recursive functions for analyzing polynomial time or integrating merkle tree proofs for certain transactions. The fact that we utilize the ability for segregated witnesses and the algorithmic capabilities of what we are creating, allows for easy scalability of the network over time.

The usage of Quantum Similarity through the equation n Z = {∀Θ∈Z→∃s ∈ S ʌ ∃t ∈ T: Θ= (s,t)}., represents a way to analyze the way communication works in our DNA. Being able to create the object set reference for z being (s,t) in our DNA strands, we are able to set logical tags and representations of our DNA in a completely computational form. This will allow us to have a better understanding of the sequences that happen in our DNA. With this approach, we can also utilize mathematical formulas such as the Euler–Mascheroni constant, regressional analysis, and computational proofs to answer important questions on Quantum biology, Quantum similarity, and Theoretical Physics.

Utilizing RapidMiner, one can perform regressional analysis and indicative data visualization for cancer genomics case studies in open bio portals. The analysis of cancer on the cellular level utilizing hierarchical algorithms and a data mining program such as RapidMiner is critically helpful in providing researchers the information they need. Throughout this paper, I will explain the different data validation methods for cancer genomic studies. This method of utilizing advanced mathematical concepts and data mining will assist researchers who look at cancer on a cellular level.

Quantum Origin and many other important aspects of theoretical physics can go hand in hand with Quantum similarity and many of the unknown theories in regards to dark matter, the origin of time and the very laws that make up our universe. Utilizing many principles such as Classical Mechanics, Quantum Similarity, as well as the modern day brilliance of Edward Witten, Leonard Susskind, Halton Arp and the Heisenberg Uncertainty Principle, physics is unified. This is why we will look at some classic proofs such as Recession velocity, the Transverse Doppler effect, Quantum origin, and the mathematical nature of Quantum similarity. The classical free particle equation P = MV, and the constraint Γ =​ Z ~ (S,T), will be used in part of my paper. This paper will also include natural homomorphism ​ ρ : ​ ​ A Γ→​ B ​ ( ​ Hv ​ ) and object set reference constraints to describe their unity with the subject matter of Quantum Similarity. This will help propose scientific proofs for analyzing the mathematical or computational representation of our universe, its formation, and a stepping stone towards a unified theorem for explaining most of dark matter, energy, and the universe.

This paper will utilize advanced computational mathematics and Quantum statistics for an algorithmic view on our universe. We will look at the theoretical nature of wave propagation, different Quantum states and propose a mathematical analysis for how it ties all together. Sequential equations applicable to nature and a utilization of Quantum similarity as proposed in my previous papers will also be used. The purpose of this paper is to provide a new approach to algorithmic Quantization in terms of describing the biggest complexities in Quantum Mechanics.

The free will of humans allow us to have conscious awareness for the decision making that we do. Robots are meant to be programmed in ways that don't harm human beings. However, with regressional AI, can there be negative results of creating emotional AI? Us as humans have a universally socially intact nature with a set of ethical morals, boundaries and universal understanding. A robot is meant to be emotionless. Even with simulated emotions, randomized patterns and a self replicating ability to change its own code can be dangerous. In this paper I propose a deontological ethos on why Emotional AI shouldn't even be a thing as well as what makes us systematically unique as humans. This paper is to meant to provide a reasonable breaking ground with scientist in the field.

Since the original launch of CrowdCoin, we decided to expand our technological infrastructure in a variety of different ways.

Our fundamental goal when launching CrowdCoin was to greatly disrupt the world of cryptocurrency. We have since launched our own masternode system, a consensus protocol, and utilized staking to expand usage of its middleware technology. A series of projects and initiatives were created, including: CrowdParty, CrowdToken, and the CrowdWaves node. Throughout this paper, we will talk about these new initiatives and some of the breathtaking research CrowdCoin have been involved in.

Utilizing multiple theorems derived from Z = {∀Θ∈Z→∃s ∈ S ʌ ∃t ∈ T: Θ=
(s,t)}., and formulating the equation: X=O+ΣH+(n(log)/Pdx, as well as some mathematical constraints and numerous implications in Quantum Physics, Classical Mechanics, and Algorithmic Quantization, we come up with a framework for mathematically representing our universe. These series of individualized papers make up a huge part of a dissertation on the subject matter of Quantum Similarity. Everything including how we view time itself and the origin point for our universe is explained in theoretical details throughout these papers.

In this paper, I will derive the equation X=O+ΣH+(n(log)/Pdx for the representation of our universe under the origin point and dilation of time, t. This theorem will be one of the biggest of our understanding of the universe and what Quantum Origin as well as Quantum States symbolizes in terms of mathematically representing the universe as we know it. Following the same rational and logic with Quantum Similarity we have a much bigger picture of the mathematical framework that our universes is under. This will henceforth be one of the main papers in a series of others that explains our universe through Quantum physics and infinitely expanding loops and ripples in time.

Distributed computational networks allow for effective hardware encryption systems and the rise of Quantum level encryption as well for Qubit based processing. Part of the reason distributed architecture can lead to Qubit level encryption is similar mechanisms applied to cryptographic hashing. In the work presented in this paper, we will look at the decentralized-internet SDK[1] and protocol, grid computing architecture, and mathematical approaches to parallel Qubit-based processing. The utilization for hardware oriented cryptography, modeled around distributed computing, will allow for an even more secure approach to Quantum authentication. The importance of works such as these, are due to the lack of security classical computing has in relation to encryption. Once mathematical formalities surpass NP-hardness, classical encryption mechanisms can be easily surpassed. However, a latent model for increased complexity in post-quantum level encryption likely forbids this trade-off. Given that Quantum Algorithms speed up superpolynomially[2], than deterministic NP-hardness would likely pose less harm to quantum encryption networks. Furthermore, with Qubit-based parallel processing, complexity models for encryption can harden in difficulty over time.

Distributed computing and parallel processing are often used for offloading large amounts of data in instances such as BOINC. Projects, such as the Decentralized-Internet SDK also allow for people to build instances of cluster computing projects for the offloading of data or decentralized architecture. Generative Adversarial Networks are currently used by AI experts in order to generate data that would have otherwise been non-existent. Given that certain biomedical datasets only have a small amount of donors or case studies available, means that more data would allow for a higher degree of accuracy. Since, certain diseases may not have enough donors or resources to collect that data, one method may be mathematically creating viable artificial data. This however, requires large amounts of processing. The utilization of a regressional model that would allow for a generative adversarial network (GAN) to recursively build medical data sets based off of pre-existing data in order to increase the statistical pool of accuracy should be feasible with distributed computing. This approach should also be worth trying in the case of absolute unknowns and false positives.

Conventional data visualization software have greatly improved the efficiency of the mining and visualization of biomedical data. However, when one applies a grid computing approach the efficiency and complexity of such visualization allows for a hypothetical increase in research opportunities. This paper will present data visualization examples presented in conventional networks, then go into higher details about more complex techniques related to leveraging parallel processing architecture. Part of these complex techniques include the attempt to build a basic general adversarial network (GAN) in order to increase the statistical pool of biomedical data for analysis as well as an introduction to the project utilizing the decentralized-internet SDK. This paper is meant to show you said conventional examples then go into details about the deeper experimentation and self contained results.

When asked about the universe, its origin, and life in general, what comes to mind? The answer has fathomed scientist, theologians, philosophers and man for decades. I can go from the philosophical standpoint of being like, I am a Copt, here is what I believe. You and me, could go back and forth discussing what is truth, and all that. However, this isn't the point of this post. I want to look at the question of, "a universal theorem of everything". The whole universe and how it is tied in general is that of a physics standpoint. We are at the dawn of age of exploration really, and still mankind has a question on what unifies nature itself.

On June 3rd, 1903, one of our era’s greatest mathematicians was born. His name was Alonzo Church. He had many great contributions to mathematics and logic. Amongst these contributions included the Frege–Church ontology. This ontology is one of modal logic in representation of existence and paradoxical theory. Truth contexts and the ordinal language of whether something is a paradox or not is quite important. Not only is this research affiliated with traditional logical reasoning, but the ability to tie mathematical representations with paradoxes have huge implications in the world of computer science and computational physics.

After the start of this whole Covid19 pandemic, worries of other viruses have been making rounds. These worries have ranged from variations of the Hantavirus showing up in China, to newly reoccurring worries of H1N1 strains. While people aren't too worried about widespread animal to human and human to human transmission, the same was thought about in regards to Covid19. While it is less likely these viruses are worth a concern, their data at least to some regard is worth exploring.

The Open Innovation Open Source License promotes the idea of technology being used in order to make the world a better place. Not only this, but also many problems people have in regards to many different open source hardware and software offerings are tackled by lots of the terminology of this license. This license is partially inspired by many companies wanting to release technology into the world commercially that can still be used by others. It also aims to be easier to incorporate in terms of just a license file, instead of what can eventually become thousands of headers.