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Implementation and Performance Evaluation of Overlay End System Multicast (ESM) for Stable and Fast Streaming of Multimedia Applications over Satellite Networks
No full textOur paper investigates the issues related to the implementation of an Overlay End-System Multicast to support satellite Internet and networks. Furthermore, we develop both analytical and mathematical models to evaluate the performance of overlay networks for stable and fast streaming of multimedia applications over satellite networks. The results produced by this research would help satellite networks designers to design and implement more robust and efficient future networks that support a variety of multimedia applications
Submarine Arm for Explorer
No full textRobotic arms have a multitude of uses in the modern world. One application for robotic arms is in the use of underwater exploration, often attached to small submarines or other submersibles. In this project, an electrical arm prototype will be created using an Arduino board and basic servo motors to construct an operational arm that is able to grab and hold small objects, and ideally will be attached to the submarine Explorer
Marine Debris Effect on Marine Life and Their Habitat
No full textMarine debris originates from a large range of causes. Materials that are illegally disposed of and that are incorrectly transferred or deposited may become aquatic waste. Plastics, glass, metal, paper, fabric, rubber and wood are the most widespread marine debris. Plastic is what comes to mind when one speaks about sea pollution. Plastic bags are able to enclose and suffocate marine mammals, whales, seabirds and sea turtles. Marine debris is a rising global concern that is wreaking havoc on the atmosphere and the economy. It obstructs navigation, entangles birds, pollutes beaches, and much more. Of the two beaches surveyed Orchard Beach in Bronx Ny and Long Beach in Stratford CT, the most common found marine debris was cigarette butts, food wrappers and plastic bottle/caps
Use of migdut dissections and PCR blockers in the study of the eukaryotic microbiome of the black-legged tick
No full textBioinformatics is a field that can improve understanding of biological systems. In this study, DNA isolated from the black-legged tick (Ixodes scapularis) was analysed using QIIME2 microbiome bioinformatics software on the Cyverse platform. Use used PCR blockers and dissections were tested to reduce the amount of I. scapularis reads and thus allow for increased sequencing fungal and protist DNA reads
Can a crowdfunding platform help to rejuvenate the Jamaican livestock market while increasing the localization of their food supply chain?
No full textMoo-La Investment Group's mission is to connect local farmers in Jamaica to local and foreign direct investors in the United States. Developed and headquartered in the New Haven County of Connecticut, our goal is to create employment and investment opportunities within the state. Our business model allows investors to enter the agriculture sector by funding farmers with the resources to operate a successful farm. In return, our investors will be rewarded with above average return on investment. On the other hand, the farmer benefits from a sustainable income, advanced agricultural training, and increased productivity. This crowd farming business model is also beneficial to countries like Jamaica who face economic challenges. Benefits include, job opportunities, localizing the food supply chain, and access to capital. Through technology, investors and farmers are connected through an Online platform called Moo-La Invest. Our platform is designed to facilitate a safe and secure investment transaction on each personal user profile, monitor investment portfolio, provide newsletters and updates, and connect with the local team for a personal touch. In addition to the funds and transactions the Moo-La Invest application will include a contractual arrangement between the investor and Moo-La Investment Group. The day to day operations will be based in Connecticut and Jamaica to oversee all aspects of the business model and to ensure deliverables are met
Galois Theory
No full textThe proof of the unsolvability of quintic polynomials is usually attributed to Everiste Galois. However, Niels Abel first proved the unsolvability of quintics by drawing from the work of many earlier mathematicians such as Ruffini, Lagrange, Vandermonde, and Newton. Abel’s impossibility proof is very convoluted and involves the nesting of radicals. Galois’ approach is more elegant. Even though the general quintic is unsolvable, there exists quintics that are solvable. The power of Galois theory is its ability to discern which quintics are solvable. We explored modern Galois Theory through the classical lens of solving polynomial equations. Galois Theory is the branch of mathematics which investigates the correspondence between the fields formed by the successive adjunction to a field F of the roots of a given polynomial equation, and the groups consisting of certain permutations on the set of these roots. The theory itself should be distinguished from its historically principal application which is the determination of necessary conditions for the solvability of equations by algebraic operations
Blockchain Technology In International Banking: Wire Transfer
No full textBlockchain technology (BT) is becoming increasingly important in international banking. BT is a distributed immutable encrypted digital and tamper proof ledger for recording transactions. BT will revolutionize international banking with effortless funds and wire transfers across borders. A SWOT analysis is performed as an environmental scan to assess strengths, weaknesses, opportunities, and threats for BT in this case study
Digitization of Data-driven Decision Making: A Risk Management Platform for Epidemic & Pandemic Prediction
No full textEarly efforts to predict the spread of disease have been traced back to the 14th century. Most notable in historical disease prediction is the Black Death which engulfed Europe from 1347 to 1351, killing an estimated 200 million people. Attempts to predict the spread of disease have, until recently, relied essentially on weather predictions coupled with the emergence of known vectors of a given pathogen. Recent software developments have allowed computer models to make use of predictive analysis of disease trends to help isolate the most likely path for disease expansion. Data from hospitals and clinics, combined with key word search of social media and air travel data add additional variables to the prediction process.
The advent of the present COVID-19 Pandemic clearly demonstrates the urgent need for airborne pathogen detection methods, and associated decision analysis regarding the virulence and the pathogenicity of an infectious agent. The motivation of the dissertation was to create a crowd-sourced means of reference pathogens image templates, necessary for deep learning algorithm development for computer vision identification of unknown pathogens. Utilizing deep learning analytical techniques as a tool to augment traditional chemical signature information to yield near real time identification of airborne pathogens, thereby yielding improved decision matrix accuracy outcomes
Safe Shopping Cart
No full textAn important question: Have grocery stores, retailers, supermarkets, and airports become super-spreading virus vectors? All unavoidable surfaces for shoppers like shopping carts handles and airport luggage carts handle also carry a certain amount of risk in the age of the COVID-19 pandemic. There are millions of people using shopping carts every day. There are millions of passengers in airports every day using the luggage carts. A study in 2017 found that shopping carts at stores carry hundreds of times of bacteria per square inch than surfaces in your average toilet handle. CDC mentioned that the shopping carts are one of the reasons for spreading the COVID-19 pandemic
From microbiomes to road kill: What DNA can tell us about the ecology of ticks
No full textKnowledge of host species that maintain populations of Ixodes scapularis, the vector of Lyme disease in the eastern U.S., is needed to improve preventative strategies. The prevailing dogma of Lyme disease ecology is that the white-footed mouse (Peromyscus leucopus) is the most important host for juvenile ticks (i.e., larvae and nymphs; 1). The white-tailed deer (Odocoileus virginanus) is the primary host for adult ticks, however its role as a host for juveniles has not been rigorously studied. Here we provide both DNA and visual evidence that juveniles feed on O. virginanus. Our DNA-based host detection system may be more broadly applied in future studies to identify other important hosts of I. scapularis