NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-br:"Load factor design.")'

Damage and Fracture Mechanics Failure Analysis of Engineering Materials and Structures /

Dordrecht, The Netherlands: Springer Verlag, 2009 9789048126682 (alk. paper)

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Unmanned Aerial Vehicles /

By Valavanis, Kimon P.. 2011 9789400711099

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Photovoltaic design & installation for dummies /

By Mayfield, Ryan.. Hoboken, NJ : Wiley, 2010 . xviii, 366 p. : , Includes index. 24 cm.. 9780470598931 | 047059893X

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Electrical energy efficiency technologies and applications /

Chichester [England] ; | Hoboken, N.J. : Wiley, 2012 9781119990055 (ebook)

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Dynamic impact factors for bridges /

By McLean, David I.. Washington, D.C. : National Academy Press, 1998 . 60 p. : , At head of title: "National Cooperative Highway Research Program." | "Project 20-5 FY 1996(Topic 28-05)"--T.p. verso. | "Transportation Research Board, National Research Council." | "Research sponsored by the American Association of State Highway and Transportation Officials in cooperation with the Federal Highway Administration." 28 cm.. 0309068193

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Prediction versus performance in geotechnical engineering : proceedings of the symposium on prediction versus performance in geotechnical engineering, Bangkok, 30 November-4 December 1992 /

Rotterdam ; | Brookfield, VT : A.A. Balkema, 1994 . ix, 341 p. : , Proceedings of the annual Geotechnical Symposium sponsored by the Asian Institue of Technology and the Southeast Asian Geotechnical Society. 26 cm.. 9054103558

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Microwave power amplifier design with MMIC modules /

By Hausman, Howard,. Boston Artech House 2018 . xxii, 366 pages ; , Minimal Level Cataloging Plus. 27 cm.. 9781630813468

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Geotechnical Hazards from Large Earthquakes and Heavy Rainfalls /

. 1 online resource (XXIII, 636 pages 557 illustrations, 417 illustrations in color.) 9784431562054

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Fixed-Value MBLL based Cognitive Hemodynamic response assessment using P-fNIRS system: Applications to Deep Learning Brain Machine Interface (BMI) /

By Asgher,Umer . . 172p. , Humans in the modern systems not only interact with other humans but also have to interact with intelligent machines, robots in form of cyber physical systems to collaborate in order to carry out different tasks in real working environment. The modern Industrial system comprises of humans, machines, and cyber systems with a collective aim of optimized industrial manufacturing objectives, human factors, and ergonomics goals. Different macrohuman factors are considered while designing and formulating human work safety of such systems and one of the important neuroergonomic factors in is the Cognitive and Mental Workload (C-MWL). The mental workload (MWL) in the human’s brain is measured with difference non-invasive neuroimaging techniques. Most of the cognitive load measuring methods either require massive system protocols like fMRI (functional magnetic resonance imagining), positron-emission tomography (PET) or strict human anatomical movements restrictions like electroencephalogram (EEG) and magnetoencephalography (MEG). To address these limitations, fNIRS (functional Near infrared Spectroscopy) is used in this research to measure the hemodynamic changes in the human brain’s tissues as a measure of the brain activity. The brain’s hemodynamic signals are measured using a light weight portable fNIRS system (P-fNIRSSyst) that is designed to measure relative change in concentration of chromophores (oxy and deoxy hemoglobin) in brain tissues. In this study a novel variant of MBLL (Modified Beer-lambert Law) is designed by keeping the previous intensity value as a reference by taking the average from initial four seconds activity stimuli in optical density. The four second stimuli average in novel and important in calculation the changes in concentration of chromophores. This novel variant of MBLL is Fixed Value - Modified Beer-lambert Law (FV-MBLL). In this research, MWL is measured and classified in different real time working environments. The two-state cognitive load is measured with fNIRS system and classified using FV-MBLL using machine learning techniques like k-nearest neighbors (k-NN), support vector machines (SVM), and artificial neural networks (ANN). The classification accuracies of FV-MBLL are better than MBLL. The research further explores the classification capabilities of deep neural networks (DNN) such as convolutional neural network s (CNN) and Long short-term memory (LSTM) for the first time in assessment and classification of four- iv state MWL. The classification accuracies of LSTM outperform not only ML algorithms (SVM, KNN and ANN) but CNN as well in classification of multi-state MWL. The research experimental validation is performed using the accuracies with MWL that are further utilized in neurorehabilitation as neurofeedback to operate bionic systems using Brain Machine Interface (BMI). 30cm.

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Customization of 3D-Printed Knee Implants: Design Optimization and Lattice Structure Integration fo Enhanced Performance /

By Ahmad, Fatima Ajaz . . 93p. , Total Knee Replacement (TKR) surgeries are becoming increasingly common globally as an effective measure to counter knee arthritis. Total knee replacement implants are very advantageous in a sense that they offer 99% success rate to patients. This thesis presents the design, simulation and additive manufacturing of a patient specific, Functionally Graded Lattice Structure (FGLS) knee implant in Ti 6Al-4V alloy with specific reference to the healthcare situation in Pakistan. This was to explore the local manufacturing facilities of Pakistan as all knee implants are imported from abroad. The strategy involved a high degree of workflow consisting of Computer-Aided Design (CAD), finite element analysis (FEA), and topology optimization using nTopology to create Gyroid-based lattice work. The structures were to resemble the trabecular bone structure to ensure that stiffness discrepancies were minimized. This helped counter only one drawback of solid knee implants, stress shielding. The simulations of the physiological loading conditions (static and cyclic) demonstrated a Von Mises peak of 620.45 Mpa and safety factor of 12.66 on the average and unlimited predicted life of fatigue of over 10^7 cycles. The use of FGLS was effective in making the weight of 490 g to 292, leading to a 40 percent weight reduction, with no structural integrity lost. Selective Laser Melding (SLM) was used to fabricate the implant and the heat treatment allowed stress relieving of the additively manufactured implant. Compressive testing was also mechanically vindicated to be on an of average 95.02 kN with little variation and Micro-CT scanning confirmed high dimensional fidelity and showed internal lattice geometries without defects. According to this research, SLM produced FGLS implants usage has proven to be an option to traditional prosthetics, which is mechanically stable, biologically desirable, and cost-effective, and has a bright future of being a locally manufactured orthopedics product. 30cm.

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