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Compact Models for Integrated Circuit Design

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ISBN: 9781482240665 Year: Language: English
Publisher: Taylor & Francis Grant: Knowledge Unlatched - 102706
Subject: Agriculture (General)
Added to DOAB on : 2019-03-02 11:21:02
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This modern treatise on compact models for circuit computer-aided design (CAD) presents industry standard models for bipolar-junction transistors (BJTs), metal-oxide-semiconductor (MOS) field-effect-transistors (FETs), FinFETs, and tunnel field-effect transistors (TFETs), along with statistical MOS models. Featuring exercise problems at the end of each chapter and extensive references at the end of the book, the text supplies fundamental and practical knowledge necessary for efficient integrated circuit (IC) design using nanoscale devices. It ensures even those unfamiliar with semiconductor physics gain a solid grasp of compact modeling concepts.

Additive Manufacturing Technologies and Applications

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ISBN: 9783038425489 9783038425496 Year: Pages: VI, 182 DOI: 10.3390/books978-3-03842-549-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2017-12-27 09:05:09
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The present Special Issue proposes articles in the area of Additive Manufacturing with particular attention to the different employed technologies and the several possible applications. The main investigated technologies are the Selective Laser Sintering (SLS) and the Fused Deposition Modelling (FDM). These methodologies, combined with the Computer Aided Design (CAD), provide important advantages. Numerical, analytical and experimental knowledge and models are proposed to exploit the potential advantages given by 3D printing for the production of modern systems and structures in aerospace, mechanical, civil and biomedical engineering fields. The 11 selected papers propose different additive manufacturing methodologies and related applications and studies.

Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems

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ISBN: 9783030439460 Year: Pages: 285 DOI: 10.1007/978-3-030-43946-0 Language: English
Publisher: Springer Nature
Subject: Computer Science --- Agriculture (General)
Added to DOAB on : 2020-05-14 09:30:09
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This open access book coherently gathers well-founded information on the fundamentals of and formalisms for modelling cyber-physical systems (CPS). Highlighting the cross-disciplinary nature of CPS modelling, it also serves as a bridge for anyone entering CPS from related areas of computer science or engineering. Truly complex, engineered systems—known as cyber-physical systems—that integrate physical, software, and network aspects are now on the rise. However, there is no unifying theory nor systematic design methods, techniques or tools for these systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. A technique known as Multi-Paradigm Modelling has recently emerged suggesting to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s), and then weaving the results together to form a representation of the system. If properly applied, it enables, among other global aspects, performance analysis, exhaustive simulation, and verification. This book is the first systematic attempt to bring together these formalisms for anyone starting in the field of CPS who seeks solid modelling foundations and a comprehensive introduction to the distinct existing techniques that are multi-paradigmatic. Though chiefly intended for master and post-graduate level students in computer science and engineering, it can also be used as a reference text for practitioners.

Thin Film Transistor

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ISBN: 9783039215263 9783039215270 Year: Pages: 108 DOI: 10.3390/books978-3-03921-527-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Electrical and Nuclear Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Recently, new wide-band energy gap semiconductors can be grown by ALD, PLD, sputtering, or MOCVD. They have great potential for the fabrication and application to TFTs. Inorganic semiconductors have good stability against environmental degradation over their organic counterparts, whereas organic materials are usually flexible, transparent, and when solution-processed at low temperatures, are prone to degradation when exposed to heat, moisture, and oxygen. For this Special Issue, we invited researchers to submit papers discussing the development of new functional and smart materials, and inorganic as well as organic semiconductor materials, such as ZnO, InZnO, GaO, AlGaO, AnGaO, AlN/GaN, conducting polymers, molecular semiconductors, perovskite-based materials, carbon nanotubes, carbon nanotubes/polymer composites, and 2D materials (e.g., graphene, MoS2) and their potential applications in display drivers, radio frequency identification tags, e-paper, gas, chemical and biosensors, to name but a few.

Miniaturized Transistors

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ISBN: 9783039210107 9783039210114 Year: Pages: 202 DOI: 10.3390/books978-3-03921-011-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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What is the future of CMOS? Sustaining increased transistor densities along the path of Moore's Law has become increasingly challenging with limited power budgets, interconnect bandwidths, and fabrication capabilities. In the last decade alone, transistors have undergone significant design makeovers; from planar transistors of ten years ago, technological advancements have accelerated to today's FinFETs, which hardly resemble their bulky ancestors. FinFETs could potentially take us to the 5-nm node, but what comes after it? From gate-all-around devices to single electron transistors and two-dimensional semiconductors, a torrent of research is being carried out in order to design the next transistor generation, engineer the optimal materials, improve the fabrication technology, and properly model future devices. We invite insight from investigators and scientists in the field to showcase their work in this Special Issue with research papers, short communications, and review articles that focus on trends in micro- and nanotechnology from fundamental research to applications.

Keywords

flux calculation --- etching simulation --- process simulation --- topography simulation --- CMOS --- field-effect transistor --- ferroelectrics --- MOS devices --- negative-capacitance --- piezoelectrics --- power consumption --- thin-film transistors (TFTs) --- compact model --- surface potential --- technology computer-aided design (TCAD) --- metal oxide semiconductor field effect transistor (MOSFET) --- topography simulation --- metal gate stack --- level set --- high-k --- fin field effect transistor (FinFET) --- line edge roughness --- metal gate granularity --- nanowire --- non-equilibrium Green’s function --- random discrete dopants --- SiGe --- variability --- band-to-band tunneling (BTBT) --- electrostatic discharge (ESD) --- tunnel field-effect transistor (TFET) --- Silicon-Germanium source/drain (SiGe S/D) --- technology computer aided design (TCAD) --- bulk NMOS devices --- radiation hardened by design (RHBD) --- total ionizing dose (TID) --- Sentaurus TCAD --- layout --- two-dimensional material --- field effect transistor --- indium selenide --- phonon scattering --- mobility --- high-? dielectric --- low-frequency noise --- silicon-on-insulator --- MOSFET --- inversion channel --- buried channel --- subthreshold bias range --- low voltage --- low energy --- theoretical model --- process simulation --- device simulation --- compact models --- process variations --- systematic variations --- statistical variations --- FinFETs --- nanowires --- nanosheets --- semi-floating gate --- synaptic transistor --- neuromorphic system --- spike-timing-dependent plasticity (STDP) --- highly miniaturized transistor structure --- low power consumption --- drain engineered --- tunnel field effect transistor (TFET) --- polarization --- ambipolar --- subthreshold --- ON-state --- doping incorporation --- plasma-aided molecular beam epitaxy (MBE) --- segregation --- silicon nanowire --- n/a

Sol-Gel Chemistry Applied to Materials Science

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ISBN: 9783039213535 9783039213542 Year: Pages: 216 DOI: 10.3390/books978-3-03921-354-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General)
Added to DOAB on : 2019-12-09 11:49:15
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Sol–gel technology is a contemporary advancement in science that requires taking a multidisciplinary approach with regard to its various applications. This book highlights some applications of the sol–gel technology, including protective coatings, catalysts, piezoelectric devices, wave guides, lenses, high-strength ceramics, superconductors, synthesis of nanoparticles, and insulating materials. In particular, for biotechnological applications, biomolecules or the incorporation of bioactive substances into the sol–gel matrix has been extensively studied and has been a challenge for many researchers. Some sol–gel materials are widely applied in light-emitting diodes, solar cells, sensing, catalysis, integration in photovoltaic devices, and more recently in biosensing, bioimaging, or medical diagnosis; others can be considered excellent drug delivery systems. The goal of an ideal drug delivery system is the prompt delivery of a therapeutic amount of the drug to the proper site in the body, where the desired drug concentration can be maintained. The interactions between drugs and the sol–gel system can affect the release rate. In conclusion, the sol–gel synthesis method offers mixing at the molecular level and is able to improve the chemical homogeneity of the resulting composite. This opens new doors not only regarding

Keywords

sol-gel method --- Fourier transform infrared spectroscopy (FTIR) analysis --- bioactivity --- biocompatibility --- sol–gel method --- organic-inorganic hybrids --- chlorogenic acid --- cytotoxicity --- biocompatibility --- silsesquioxanes --- thiol-ene click reaction --- in situ water production --- hydrophobic coatings --- cotton fabric --- paper --- NMR --- wettability --- sol-gel --- hollow sphere --- 1D structure --- sol-gel --- thin-disk laser --- Yb-doped glasses --- aluminosilicate glasses --- photoluminescence --- ultrasonic spray deposition --- tungsten oxide --- lithium lanthanum titanium oxide --- conformal coating --- Li-ion batteries --- sol-gel technique --- biomaterials --- cell proliferation --- cell cycle --- one transistor and one resistor (1T1R) --- organic thin-film transistor (OTFT) --- resistive random access memory (RRAM) --- sol-gel --- lithium-ion battery --- LiMnxFe(1?x)PO4 --- carbon coating --- pseudo-diffusion coefficient --- potential step voltammetry --- electrochemical impedance spectroscopy --- sol-gel --- oxyfluoride glass-ceramics --- nanocrystal --- optical properties --- sol-gel method --- SiO2–based hybrids --- poly(?-caprolactone) --- TG-DSC --- TG-FTIR --- X-ray diffraction analysis --- computer-aided design (CAD) --- mechanical analysis --- finite element analysis (FEA) --- composites --- organic–inorganic hybrid materials --- biomedical applications --- metal oxides --- multi-layer --- surface plasmon resonance --- optical sensors --- computer-aided design (CAD) --- mechanical analysis --- finite element analysis (FEA) --- composites --- hybrid materials --- biomedical applications

Mechanism Design for Robotics

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ISBN: 9783039210589 9783039210596 Year: Pages: 212 DOI: 10.3390/books978-3-03921-059-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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MEDER 2018, the IFToMM International Symposium on Mechanism Design for Robotics, was the fourth event in a series that was started in 2010 as a specific conference activity on mechanisms for robots. The aim of the MEDER Symposium is to bring researchers, industry professionals, and students together from a broad range of disciplines dealing with mechanisms for robots, in an intimate, collegial, and stimulating environment. In the 2018 MEDER event, we received significant attention regarding this initiative, as can be seen by the fact that the Proceedings contain contributions by authors from all around the world.The Proceedings of the MEDER 2018 Symposium have been published within the Springer book series on MMS, and the book contains 52 papers that have been selected after review for oral presentation. These papers cover several aspects of the wide field of robotics dealing with mechanism aspects in theory, design, numerical evaluations, and applications.This Special Issue of Robotics (https://www.mdpi.com/journal/robotics/special_issues/MDR) has been obtained as a result of a second review process and selection, but all the papers that have been accepted for MEDER 2018 are of very good quality with interesting contents that are suitable for journal publication, and the selection process has been difficult.

Keywords

hexapod walking robot --- 3-UPU parallel mechanism --- kinematics --- stability --- gait planning --- shape changing --- rolling --- robot --- cylindrical --- elliptical --- velocity control --- economic locomotion --- actuation burden --- inadvertent braking --- humanoid robots --- parallel mechanisms --- cable-driven robots --- robotic legs --- painting robot --- collaborative robot --- image processing --- non-photorealistic rendering --- artistic rendering --- robot wrists --- spherical parallel mechanism --- orientational mechanisms --- computer-aided design --- workspace analysis --- iCub --- shape memory alloy --- compliant mechanism --- SMA actuator --- pneumatic artificial muscle --- McKibben muscle --- haptic glove --- hand exoskeleton --- teleoperation --- force reflection --- human-machine interaction --- robot kinematics --- robot singularity --- singularity analysis --- robot control --- mobile manipulation --- human-robot-interaction --- learning by demonstration --- compliance control --- trajectory planning --- energy efficiency --- redundancy --- robotic cell --- kinematic redundancy --- cable-driven parallel robots --- fail-safe operation --- exercising device --- cobot --- V2SOM --- safety mechanism --- safe physical human–robot interaction --- pHRI --- variable stiffness actuator --- VSA --- collaborative robots --- humanoid robotic hands --- underactuated fingers --- graphical user interface --- grasp stability --- safe physical human–robot interaction (pHRI) --- variable stiffness actuator (VSA) --- collaborative robots --- robot-assisted Doppler sonography --- n/a

Processing-Structure-Property Relationships in Metals

Authors: ---
ISBN: 9783039217700 9783039217717 Year: Pages: 240 DOI: 10.3390/books978-3-03921-771-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:39:37
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In the industrial manufacturing of metals, the achievement of products featuring desired characteristics always requires the control of process parameters in order to obtain a suitable microstructure. The strict relationship among process parameters, microstructure, and mechanical properties is a matter of interest in different areas, such as foundry, plastic forming, sintering, welding, etc., and regards both well-established and innovative processes. Nowadays, circular economy and sustainable technological development are dominant paradigms and impose an optimized use of resources, a lower energetic impact of industrial processes and new tasks for materials and products. In this frame, this Special Issue covers a broad range of research works and contains research and review papers.

Keywords

titanium composites --- in situ secondary phases --- microstructure --- inductive hot pressing --- intermetallic --- bainite rail --- tempering --- retained austenite --- tensile property --- impact toughness --- cryorolling --- reduction --- ultrafine grain --- secondary recrystallization --- high strength --- microstructure inhomogeneity --- non-monotonic simple shear strains --- shear strain reversal --- severe plastic deformation --- texture inhomogeneity --- tensile properties --- Mg-10Y-6Gd-1.5Zn-0.5Zr --- ultra-fine grain --- aging treatment --- precipitation behavior --- mechanical property --- multimodal --- AZ91 alloy --- equal channel angular pressing --- aging --- high pressure die casting --- aluminum alloy --- prediction model --- process monitoring --- static mechanical behavior --- fracture surface --- microstructure. --- casting --- Al 6061 alloys --- shrinkage --- porosity --- steering knuckles --- Al alloys --- warm working --- mechanical properties --- dental materials --- metal posts --- computer-aided design (CAD) --- image analysis --- mechanical properties --- finite element analysis --- additive manufacturing --- Al alloys --- wear --- cavitation erosion --- SEM --- microstructure --- high speed steel --- nanostructured coatings --- thin films --- FEGSEM --- tribology --- Nb tube --- caliber-rolling --- grain boundaries --- texture --- electron backscatter diffraction --- damping --- aluminum film --- grain boundary --- anelasticity --- thin aluminum sheet --- alloys --- aeronautic applications --- mechanical properties --- corrosion resistance --- EBM --- SEBM --- macro-instrumented indentation test --- property-microstructure-process relationship --- mechanical properties --- indentation hardness --- indentation modulus --- tensile properties --- Ti-6Al-4V alloy --- ?-platelet thickness --- columnar microstructure --- n/a

Intelligent Imaging and Analysis

Authors: ---
ISBN: 9783039219209 9783039219216 Year: Pages: 492 DOI: 10.3390/books978-3-03921-921-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:08
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Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning. Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches. This Special Issue focuses on the latest developments of learning-based intelligent imaging techniques and subsequent analyses, which include photographic imaging, medical imaging, detection, segmentation, medical diagnosis, computer vision, and vision-based robot control. These latest technological developments will be shared through this Special Issue for the various researchers who are involved with imaging itself, or are using image data and analysis for their own specific purposes.

Keywords

image inspection --- non-referential method --- feature extraction --- fault pattern learning --- weighted kernel density estimation (WKDE) --- rail surface defect --- UAV image --- defect detection --- gray stretch maximum entropy --- image enhancement --- defect segmentation --- semi-automatic segmentation --- MR spine image --- vertebral body --- graph-based segmentation --- correlation --- surface defect of steel sheet --- image segmentation --- saliency detection --- low-rank and sparse decomposition --- intervertebral disc --- segmentation --- convolutional neural network --- fine grain segmentation --- U-net --- deep learning --- magnetic resonance image --- lumbar spine --- image adjustment --- colorfulness --- contrast --- sharpness --- high dynamic range --- local registration --- iterative closest points --- multimodal medical image registration --- machine vision --- point cloud registration --- greedy projection triangulation --- local correlation --- three-dimensional imaging --- optimization arrangement --- cavitation bubble --- water hydraulic valve --- defect inspection --- image processing --- feature extraction --- classification methods --- medical image registration --- image alignment in medical images --- misalignment correction in MRI --- midsagittal plane extraction --- symmetry detection --- PCA --- conformal mapping --- mesh parameterization --- mesh partitioning --- pixel extraction --- texture mapping --- image analysis --- image retrieval --- spatial information --- image classification --- computer vision --- image restoration --- motion deburring --- image denoising --- sparse feedback --- Image processing --- segmentation --- spline --- grey level co-occurrence matrix --- gradient detection --- threshold selection --- OpenCV --- machine learning --- transfer learning --- Inception-v3 --- geological structure images --- convolutional neural networks --- image segmentation --- active contour model --- level set --- signed pressure force function --- image segmentation --- deep learning --- synthetic aperture radar (SAR) --- oil slicks --- segnet --- pectus excavatum --- nuss procedure --- patient-specific nuss bar --- minimally invasive surgery --- computerized numerical control bending machine --- computer-aided design --- computer-aided manufacturing --- statistical body shape model --- self-intersection penalty term --- 3D pose estimation --- 3D semantic mapping --- incrementally probabilistic fusion --- CRF regularization --- road scenes --- deep learning --- medical image classification --- additional learning --- CT image --- automatic training --- GoogLeNet --- intelligent evaluation --- automated cover tests --- deviation of strabismus --- pupil localization --- shape from focus --- wear measurement --- sprocket teeth --- normal distribution operator image filtering --- adaptive evaluation window --- reverse engineering --- human parsing --- depth-estimation --- computational efficiency --- capacity optimization --- underwater visual localization method --- line segment features --- PL-SLAM --- face sketch synthesis --- face sketch recognition --- joint training model --- data imbalance --- Contrast Tomography (CT) --- pre-training strategy --- segmentation --- super-resolution --- dual-channel --- residual block --- convolutional kernel parameter --- long-term and short-term memory blocks --- n/a

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