Advanced Applications of Rapid Prototyping Technology in Modern Engineering

Rapid prototyping (RP) technology has been widely known and appreciated due to its flexible and customized manufacturing capabilities. The widely studied RP techniques include stereolithography apparatus (SLA), selective laser sintering (SLS), three-dimensional printing (3DP), fused deposition modeling (FDM), 3D plotting, solid ground curing (SGC), multiphase jet solidification (MJS), laminated object manufacturing (LOM). Different techniques are associated with different materials and/or processing principles and thus are devoted to specific applications. RP technology has no longer been only for prototype building rather has been extended for real industrial manufacturing solutions. Today, the RP technology has contributed to almost all engineering areas that include mechanical, materials, industrial, aerospace, electrical and most recently biomedical engineering. This book aims to present the advanced development of RP technologies in various engineering areas as the solutions to the real world engineering problems

FPGA design methodology for industrial control systems—a review

This paper reviews the state of the art of fieldprogrammable gate array (FPGA) design methodologies with a focus on industrial control system applications. This paper starts with an overview of FPGA technology development, followed by a presentation of design methodologies, development tools and relevant CAD environments, including the use of portable hardware description languages and system level programming/design tools. They enable a holistic functional approach with the major advantage of setting up a unique modeling and evaluation environment for complete industrial electronics systems. Three main design rules are then presented. These are algorithm refinement, modularity, and systematic search for the best compromise between the control performance and the architectural constraints. An overview of contributions and limits of FPGAs is also given, followed by a short survey of FPGA-based intelligent controllers for modern industrial systems. Finally, two complete and timely case studies are presented to illustrate the benefits of an FPGA implementation when using the proposed system modeling and design methodology. These consist of the direct torque control for induction motor drives and the control of a diesel-driven synchronous stand-alone generator with the help of fuzzy logic

PACS de patologia: uma plataforma centralizada para a gestão de imagem médica de patologia

The clinical area of digital Pathology is still giving its first steps in the development of interoperable solutions that enable the distributed acquisition, storage, and visualization of medical images, including diagnostic support tools. Nowadays, digital management solutions use proprietary image formats and communication protocols that are not compatible with the DICOM standard. Moreover, the available technologies are not mature enough to support the practice of medicine in an area where scanned images can reach several gigapixels, requiring new engineering approaches to support huge volumes of data, in the order of gigabytes per study, that need to be consumed in real time. This dissertation aims to research and develop new technologies and associated information systems, capable of supporting the digital acquisition of pathology images, their centralized archive, sharing, and collaborative review with decision support tools. The result is an innovative web solution, focused on increasing productivity, with safe diagnostics and based on normalized protocols. A common web browser was transformed into a professional workstation that is able to access the image repository at any place and time, regardless of the operating system and without any prior installation.A área de Patologia clínica digital ainda se encontra a dar os primeiros passos no desenvolvimento de soluções interoperáveis que permitam a aquisição, arquivo e visualização distribuída da imagem, incluindo ferramentas de suporte ao diagnóstico. Os atuais cenários de revisão à distância usam aplicações proprietárias que não são interoperáveis com a norma DICOM. Isto deve-se ao facto de a tecnologia não estar suficientemente madura para apoiar a prática clínica numa área em que uma imagem digitalizada pode atingir vários giga-pixels, requerendo novas soluções de engenharia para suportar grandes volumes de dados, da ordem de gigabyte por estudo, que necessitam de ser consumidos remotamente em tempo real. Esta dissertação teve como objetivo estudar e desenvolver tecnologias e sistemas de informação que permitam a aquisição digital da imagem de patologia, o seu arquivo centralizado, a partilha e revisão colaborativa com ferramentas de suporte à decisão. O resultado é uma solução Web inovadora, de elevada produtividade, diagnóstico seguro e baseada em processos e protocolos normalizados. Um Web-browser comum foi transformado numa estação de trabalho capaz de aceder ao arquivo em qualquer altura e qualquer lugar, independentemente do sistema operativo, computador ou dispositivo móvel.Mestrado em Engenharia Informátic

From Conventional to Cl-Based Spatial Analysis

Series: Discussion Papers of the Institute for Economic Geography and GIScienc

NeuroBench:A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accurately measure technological advancements, compare performance with conventional methods, and identify promising future research directions. Prior neuromorphic computing benchmark efforts have not seen widespread adoption due to a lack of inclusive, actionable, and iterative benchmark design and guidelines. To address these shortcomings, we present NeuroBench: a benchmark framework for neuromorphic computing algorithms and systems. NeuroBench is a collaboratively-designed effort from an open community of nearly 100 co-authors across over 50 institutions in industry and academia, aiming to provide a representative structure for standardizing the evaluation of neuromorphic approaches. The NeuroBench framework introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent (algorithm track) and hardware-dependent (system track) settings. In this article, we present initial performance baselines across various model architectures on the algorithm track and outline the system track benchmark tasks and guidelines. NeuroBench is intended to continually expand its benchmarks and features to foster and track the progress made by the research community