Rapid Prototyping Using FDM: A Fast, Precise, Safe Technology

This paper outlines the use of FDM to speed product design and to streamline the manufacturing process. Time compression, the ability to quickly reduce the time it takes to get new products to market, has increased the pressure on all phases of the manufacturing process. Manufacturers must find and implement time saving systems without sacrificing quality.Mechanical Engineerin

Book Review--Seeking the Calm in the Storm – Managing Chaos in Your Business Life

The book is all about how effectively the organizations and the people can keep responding to the fast paced change environment especially when Information Technology is fast changing and achieve the goals. It talks about different issues like IT has revolutionized the business as it can be done from any place but its complication cannot be ignored as simple does not stay always simple.Information Technology

Investment in High Frequency Trading Technology: A Real Options Approach

This paper derives an optimal timing strategy for a regular slow trader considering investing in a high-frequency trading (HFT) technology. The market is fragmented, and slow traders compete with fast traders for trade execution. Given this optimal timing rule, I then char- acterise the equilibrium level of fast trading in the market as well as the welfare-maximising socially optimal level. I show that there is always a unique cost of investment such that the equilibrium level of fast trading and the socially optimal level coincide. Finally I discuss potential policy responses to addressing equilibrium and social optimality misalignment in HFT

Fast parallel volume visualization on cuda technology

In the medical diagnosis and treatment planning, radiologists and surgeons rely heavily on the slices produced by medical imaging scanners. Unfortunately, most of these scanners can only produce two dimensional images because the machines that can produce three dimensional are very expensive. The two dimensional images from these devices are difficult to interpret because they only show cross-sectional views of the human structure. Consequently, such circumstances require highly qualified doctors to use their expertise in the interpretation of the possible location, size or shape of the abnormalities especially for large datasets of enormous amount of slices. Previously, the concept of reconstructing two dimensional images to three dimensional was introduced. However, such reconstruction model requires high performance computation, may either be time-consuming or costly. Furthermore, detecting the internal features of human anatomical structure, such as the imaging of the blood vessels, is still an open topic in the computer-aided diagnosis of disorders and pathologies. This study proposed, designed and implemented a visualization framework named SurLens with high performance computing using Compute Unified Device Architecture (CUDA), augmenting the widely proven ray casting technique in terms of superior qualities of images but with slow speed. Considering the rapid development of technology in the medical community, our framework is implemented on Microsoft .NET environment for easy interoperability with other emerging revolutionary tools. The Visualization System was evaluated with brain datasets from the department of Surgery, University of North Carolina, United States, containing 109 datasets of MRA, T1-FLASH, T2-Weighted, DTI and T1-MPRAGE. Significantly, at a reasonably cheaper cost, SurLens Visualization System achieves immediate reconstruction and obvious mappings of the internal features of the human brain, reliable enough for instantaneously locate possible blockages in the brain blood vessels without any prior segmentation of the datasets

Silicon-technology based microreactors for high-temperature heterogeneous partial oxidation reactions

In this thesis the results of a study into the feasibility of silicon-technology based microreactors for fast oxidation reactions have been discussed. When designed properly, silicon microreactors are suitable for studying heterogeneous gas phase reactions, such as reaction kinetics of direct catalytic partial oxidation of methane into synthesis gas. This thesis focused on the design and realization of silicon-technology based micro flow reactors that are to be used for research on high-temperature heterogeneous gas phase reactions