463 research outputs found

    Measurement-Driven Simulation of Complex Engineering Systems

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    Laser Scanner Technology

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    Laser scanning technology plays an important role in the science and engineering arena. The aim of the scanning is usually to create a digital version of the object surface. Multiple scanning is sometimes performed via multiple cameras to obtain all slides of the scene under study. Usually, optical tests are used to elucidate the power of laser scanning technology in the modern industry and in the research laboratories. This book describes the recent contributions reported by laser scanning technology in different areas around the world. The main topics of laser scanning described in this volume include full body scanning, traffic management, 3D survey process, bridge monitoring, tracking of scanning, human sensing, three-dimensional modelling, glacier monitoring and digitizing heritage monuments

    NASA SBIR abstracts of 1991 phase 1 projects

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    The objectives of 301 projects placed under contract by the Small Business Innovation Research (SBIR) program of the National Aeronautics and Space Administration (NASA) are described. These projects were selected competitively from among proposals submitted to NASA in response to the 1991 SBIR Program Solicitation. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 301, in order of its appearance in the body of the report. Appendixes to provide additional information about the SBIR program and permit cross-reference of the 1991 Phase 1 projects by company name, location by state, principal investigator, NASA Field Center responsible for management of each project, and NASA contract number are included

    2019 EC3 July 10-12, 2019 Chania, Crete, Greece

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    Discrete Automation - Eyes of the City

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    Observing people’s presence in physical space and deciphering their behaviors have always been critical actions to designers, planners and anyone else who has an interest in exploring how cities work. It was 1961 when Jane Jacobs, in her seminal book “The Death and Life of Great American Cities”, coined a famous expression to convey this idea. According to Jacobs, “the natural proprietors” of a certain part of the metropolis – the people who live, work or spend a substantial amount of time there – become the “eyes on the street.” Their collective, distributed, decentralized gaze becomes the prerequisite to establishing “a marvelous order for maintaining the safety of the streets and the freedom of the city.” Almost half a century later, we find ourselves at the inception of a new chapter in the relationship between the city and digital technologies, which calls for a reexamination of the old “eyes on the street” idea. In the next few years, thanks to the most recent advances in Artificial Intelligence, deep learning and imaging, we are about to reach an unprecedented scenario, the most radical development in the evolution of the Internet-of-Things: architectural space is acquiring the full ability to “see.” Imagine that any room, street or shop in our city can recognize you, and autonomously respond to your presence. With Jacobs’s “eyes on the street,” it was people who looked at other people or the city and interpreted its mechanisms. In this new scenario, buildings and streets similarly acquire the ability to observe and react as urban life unfolds in front of them. After the “eyes on the street,” we are now entering the era of the “Eyes of the City.” What happens, then, to people and the urban landscape when the sensor-imbued city is able to gaze back? What we are currently facing is an “utopia or oblivion” crossroads, to say it with the words of one of the most notable thinkers of the past century, Richard Buckminster Fuller. We believe that one of the fundamental duties of architects and designers today is to grapple with this momentous shift, and engage people in the process. “Eyes of the City” aims to experiment with these emerging scenarios to better comprehend them, deconstructing the potential uses of new technologies in order to make them accessible to everyone and inspire people to form an opinion. Using critical design as a tool, the exhibition seeks to create experiences that will encourage people to get involved in defining the ways in which new technologies will shape their cities in years to come. For this reason, it recognizes in Shenzhen’s Futian high-speed railway station its natural home – a place where to reach a broad, diverse audience of intentional visitors and accidental passersby, and a space where, just like in most other liminal transportation hubs, the impact of an “Eyes of the City” scenario is likely going to be felt the most

    Advanced analytical strategies to determine biomedical parameters for medical diagnostics, drug delivery, and therapy

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    Biomedical parameters are critical for diseases prognosis, diagnosis and therapy. Many research groups have dedicated their studies to develop analytical instrumentation and apply analytical methods to determine biomedical parameters that have the potential to help with disease control and increase public health. This dissertation focuses on three major aspects of analytical strategies development and applications: 1) detection of pH changes caused by nanotoxicity (induced by TiO2 nanoparticles) using newly developed micro-pH sensor, 2) quantification of renal cell carcinoma (RCC) biomarkers by high-performance liquid chromatography - tandem mass spectrometry (HPLC-MS/MS), and 3) nuclear magnetic resonance (NMR) studies of porous wall hollow glass microspheres (PWHGMs) that have the potential to be used as drug delivery carriers. Firstly, a dual-core fiber-optic pH micro-probe was developed which can be used within the biologically relevant pH range from 6.20 - 7.92 (R2 = 0.9834). Secondly, a targeted HPLC-MS/MS protocol was developed to simultaneously monitor four urinary biomarkers for RCC and applied to human urine specimen analysis. Thirdly, a vacuum-based loading system was developed to charge PWHGMs with specific materials followed by a washing procedure. Immiscible binary model systems (n-dodecane/water and chloroform/water) as well as isopropanol- acetic acid esterification and the hydrolysis of isopropyl acetate were investigated to obtain NMR evidence for material loading into PWHGMs and their subsequent release into the surrounding solutions. In addition, microspheres loaded with H2O were suspended in D2O to obtain quantitative information about the release kinetics from PWHGMs. The results demonstrate that NMR is a particularly useful tool to study developments and applications of PWHGMs in the targeted and controlled drug delivery --Abstract, page iv

    NASA SBIR abstracts of 1992, phase 1 projects

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    The objectives of 346 projects placed under contract by the Small Business Innovation Research (SBIR) program of the National Aeronautics and Space Administration (NASA) are described. These projects were selected competitively from among proposals submitted to NASA in response to the 1992 SBIR Program Solicitation. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 346, in order of its appearance in the body of the report. Appendixes to provide additional information about the SBIR program and permit cross-reference of the 1992 Phase 1 projects by company name, location by state, principal investigator, NASA Field Center responsible for management of each project, and NASA contract number are included

    KINE[SIS]TEM'17 From Nature to Architectural Matter

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    Kine[SiS]tem – From Kinesis + System. Kinesis is a non-linear movement or activity of an organism in response to a stimulus. A system is a set of interacting and interdependent agents forming a complex whole, delineated by its spatial and temporal boundaries, influenced by its environment. How can architectural systems moderate the external environment to enhance comfort conditions in a simple, sustainable and smart way? This is the starting question for the Kine[SiS]tem’17 – From Nature to Architectural Matter International Conference. For decades, architectural design was developed despite (and not with) the climate, based on mechanical heating and cooling. Today, the argument for net zero energy buildings needs very effective strategies to reduce energy requirements. The challenge ahead requires design processes that are built upon consolidated knowledge, make use of advanced technologies and are inspired by nature. These design processes should lead to responsive smart systems that deliver the best performance in each specific design scenario. To control solar radiation is one key factor in low-energy thermal comfort. Computational-controlled sensor-based kinetic surfaces are one of the possible answers to control solar energy in an effective way, within the scope of contradictory objectives throughout the year.FC

    Modeling and Simulation in Engineering

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    The Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, “Modeling and Simulation in Engineering I, 2022”, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering

    The use of proteomics techniques to identify potential markers of early stage colorectal cancer

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    Colorectal cancer (CRC) is the third most common cancer and the second most common cause of cancer related deaths in the UK. Research has shown that the five year survival rate for patients if diagnosed at an early stage is 83% however, only 11% of cases are diagnosed at this stage. The aim of this study was to use proteomic approaches to investigate secreted proteins from colorectal cancer cell lines to identify candidate biomarkers for early stage diagnosis. Microvesicles (MVs) are a mixed population of vesicles that are released by a wide range of cells and are thought to play a role in tumour development and progression. Stable Isotope Labeling of Amino Acids in Culture (SILAC) was used to investigate the relative abundance of proteins secreted in MVs released by two cell lines that are used as a model of early tumour progression. This study identified 86 potential candidates that demonstrated increased release and six of these proteins (AGR2, OLFM4, SBP1, HSP90α, HSP90β and CEACAM5) were selected for further investigation by Western blot analysis. These proteins show potential as markers of early stage CRC and would be suitable for further validation in patient serum samples
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