Other information-centric aka content centric or named data networking systems are possible, which emphasise identifying content rather than devices. Peer-to-peer file sharing systems take this approach: You don't care which address provides you with parts of the file that you seek, you only want to publish your interest in a certain file and subscribe to any sources that can supply parts of that content.
The main purpose and prime contribution of this work are to demonstrate a paradigm of design strategy for new generation engineering via using a swirling injector as example.
This program prepares individuals to apply mathematical and scientific principles to the design, development and operational evaluation of total systems for the physical movement of people, materials and information, including general network design and planning, facilities planning, site evaluation, transportation management systems, needs. The goal was to design a small “pod” that encompasses the ideas of the thesis project on a small scale, so this study considers the dynamic between personal and collaborative study spaces. The same is true for an enterprise campus network. The design principles and implementation best practices described in this document are tried-and-true lessons learned over time.
To develop a robust combustion system efficiently, understanding of underlying physics, coupling and conflicting of the design parameters, and data-driven analysis is significantly important to achieve an efficient design process with the optimal response. Large eddy simulation LES has been generally used to simulate flow physics and combustion characteristics inside rocket engines for decades; however, this technique consumes great amount of time and resources, which is impractical to apply for complex design studies.
This thesis proposes a design strategy that can conduct a robust design exploration and build a highly efficient model to predict spatiotemporal flowfield with detailed mechanisms of a new design. The whole strategy connects flow physics, statistics, big data analysis, and machine learning.
The primary results with application of KSPOD, which is trained by high-fidelity simulation datasets, have successfully predicted the instantaneous flow dynamics of a swirl injector by utilizing Kriging based weighting function from design matrix through design of experiment.
This model performs well for the analytical estimation of the performance measures such as liquid film thickness and spreading angle. Furthermore, POD and power spectrum densities from POD coefficients from prediction are alike to those from simulation.
At the same time, the elapsed computation time for evaluating new design points is reduced significantly compared with other algorithms. The prediction is over 3, times faster than simulation.
The future work will focus on the applications of RPCA and multi-class classification with CNN in flow physics to enhance the accuracy of prediction model and design process. To further improve the design strategy with highly efficient emulation method, an enhanced data decomposition method is required.
Multi-class classification with neural network will be used for deeper unsupervised learning with flow structure identification, which can further improve the prediction model providing response with better accuracy. This thesis will eventually conduct machine-learning concepts to probe into flow physics, speed up the design process, and improve the flowfield prediction accuracy.Exploitation of weaknesses in the design of network infrastructure and security flaws in network protocols are presented and discussed.
Network operation systems and network architectures are reviewed, together with the respective security related issues. UniPlug: A Framework For Ad-hoc Invention Sharing Over A Campus Network by Thesis Supervisor Accepted by_ MASSACHUSETTS INSTITUTE OF TECHNOLOGY UniPlug: A Framework For Ad-hoc Invention Sharing Over A Campus Network by Durga Prasad Pandey Submitted to the Program in Media Arts and Sciences, School of Architecture and Planning, on August.
Express service package delivery is a multi-billion dollar industry in the United States and abroad. It has become an essential part of business operations and, with the rise of e-commerce, an expectation of the everyday consumer.
Express package delivery is challenged by extremely tight service. This study is designed to describe the history of the UW-Stout campus network from IBM mainframe computers to the current ATM base network based on a backbone connection.
North Dakota State University is a student-focused, land-grant, research university — an economic engine that educates students, conducts primary research, creates new knowledge and advances technology.
The university provides affordable access to an excellent education at a top-ranked research institution that combines teaching and research in a rich learning environment, educating future.
This is a great event which offers a trade show experience, especially for students and graduat es in the design and construction industry along with the opportunity to mingle with your peers and some of the industry’s best and brightest in architectural product design.