NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-br:"Research- - Methodology")'

The craft of research

By Booth, Wayne C.. Chicago : University of Chicago press, 2003 . xv, 329 p. ; 22 cm.. 0226065677 | 0226065685

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Ending wars /

By Cochrane, Feargal.. [S.l.] : Polity, 2008 . 176 p. ; 21 cm.. 0745640338 (paperback) | 9780745640334 (paperback)

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New handbook of methods in nonverbal behavior research /

[S.l.] : Oxford University Press, USA, 2008 . 536 p. ; 24 cm.. 0198529627 (paperback) | 9780198529620 (paperback)

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Handbook of ambient intelligence and smart environments \

By Nakashima, Hideyuki.. New York : Springer, 2010 9780387938073 (hbk.)

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Unmanned Aerial Vehicles /

By Valavanis, Kimon P.. 2011 9789400711099

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Researching information systems and computing /

By Oates, Briony J.. London ; | Thousand Oaks, Calif. : SAGE Publications, 2006 . xvii, 341 p. : 24 cm.. 1412902231 (hbk.) | 141290224X (pbk.)

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Statistical decision theory : kendall's library of statistics 9 /

By French, Simon.. [S.l.] : Wiley, 2000 . 320 p. ; , Hardcover. 24 cm.. 0340614609 | 9780340614600

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Method in social science : revised 2nd edition /

By Sayer, Andrew.. [S.l.] : Routledge, 1992 . 328 p. ; , Paperback. 22 cm.. 0415076072 | 9780415076074

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Introduction to social research : quantitative and qualitative approaches /

By Punch, Dr Keith F.. [S.l.] : Sage Publications Ltd, 2005 . 336 p. ; , Paperback. 24 cm.. 0761944176 | 9780761944171

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Research methods for social work /

By Rubin, Allen.. United states: Brooks/Cole Cengage Learning, 2011 . 652p.: 25cm. 9780495811718 | 0495811718 | 9780495803904 (international student edition) | 0495803901 (international student edition)

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The diagrams of architecture : ad reader /

By Garcia, Mark.. London Wiley, 2010 . 320 p. ; , Includes bibliographical refrences and index 25 cm.. 0470519452 (paperback) | 9780470519455 (paperback)

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Mathematical Models in Biology an introduction

UK Cambridge University press 2004 . 370 p. 0-521-61555-0

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The SAGE handbook of qualitative data analysis /

. xxiii, 634 pages : 26 cm. 9781446208984 (hbk.) | 1446208982 (hbk.)

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Questionnaire design : how to plan, structure, and write survey material for effective market research /

By Brace, Ian,. London ; | Sterling, VA : Kogan Page, 2004 . xii, 289 p. : 24 cm. +. 074944181X

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Media effects : advances in theory and research /

New Jersey: Lawrence Erlabaum Assosiates 1994 . xi, 505 p. : 22 cm.. 9780805864496 (hbk) | 0805864490 (hbk) | 9781410618771 (ebk) | 1410618773 (ebk) | 9780805864502 (pbk) | 0805864504 (pbk)

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TH-SOF-1714-A framework to Optimize ORM Data Retrieval using Indexed Search Engines

By Tassaddaq Sultan. ISLAMABAD NUST COLLEGE OF EME 2019

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Modelling and simulations for tourism and hospitality : an introduction /

By Baggio, Jacopo A.,. . x, 163 pages : 21 cm. 9781845417420 | 9781845417413

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Research design and methods : a process approach /

By Bordens, Kenneth S.,. . xxi, 544: pages 978-1-25-900247-2

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An Efficient Deep Learning-Based Classification Framework for Hypertensive Retinopathy /

By Sajid, Muhammad Zaheer. . ix, 45 p

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Enhancing Tumor Segmentation in 3D MRI Scans with YOLOv8 And Volumetric segmentation: A Computational Efficient Approach /

By Abdullah. . 71p. ; 30cm..

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Life Cycle Impact Assessment of Glass Manufacturing In Pakistan /

By Khan, Muhammad Usman Ali . . 76p. , The production of glass packaging requires a lot of energy and resources, and as the world's population rises, particularly in emerging nations, so does the demand for glass packaging. Although developing nations are also suffering from the effects of climate change, there is relatively little study on environmental impact assessment and analysis, notably the environmental impacts brought on by the activities related to glass manufacturing. This work conducted a thorough life cycle assessment (LCA) for the production of glass packaging in Pakistan in order to close this research gap of quantification of the environmental impacts of glass packaging production. The LCA was carried out for three distinct types of glass packaging solutions (amber, flint, and green), considering 1-ton of glass as the functional unit. The creation of several scenarios allowed for the analysis of the effects and the generation of ideas for ways to lessen the negative effects of glass manufacture on the environment. The study's methodology used a cradle-to-gate approach. From the perspective of the life cycle inventory, the main data were gathered from a renowned glass industry situated in one of Pakistan's designated industrial zones, and the secondary data were obtained from the Ecoinvent database. Environmental impacts were measured at midpoint and endpoint levels utilizing the ReCiPe 2016 approach and SimaPro V 9.2 as the software tool. Results indicated that the extraction and processing of raw material had worse impacts on the environment. At plant level the consumption of natural gas for the melting purposes and electricity consumed from national grid had highest impacts on the environment. The comparison of three packaging solutions indicated that the production of green glass was more harmful to the environment, followed by the production of amber glass and flint glass came out to be more environmentally friendly among the three packaging solutions. The alternative scenarios were generated by changing the energy-mix and the cullet ratios and the results were compared with the baseline scenarios for different midpoint and endpoint impact categories. The alternative scenarios for the energy mix were also compared for different kinds of emissions to air especially the greenhouse gas emissions. The report also identified a number of significant implications. This study may serve as a guide for future research on the environmental impact of the glass packaging industry, particularly in Pakistan and other developing nations. In this sense, developing nations would work toward net-zero emissions and sustainable development goals 30cm.

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Brain-Computer Interface for Mental State Detection of Drivers /

By Arif, Saad . . 169p. , Background: Each year millions of vehicles suffer crashes on the roads globally due to deteriorated mental state of the drivers during driving tasks which result in higher casualties. Drowsy driving is the leading cause of high fatality rate which is instigated due to sleep deprivation, fatigue, and anxiety, etc. Vehicular, and driver’s behavioral data-dependent systems detect the drowsiness after its onset when an accident is more likely, and they are also subject to false identification. The drowsy mental state of drivers must be detected earlier for in-time warning to avoid fatal losses, and also the system must be less intrusive, and adaptable for normal driving tasks. Detection systems using physiological signals from human organs are comparatively underexplored in which bodily states of the subject can be identified earlier and with more reliability. It is postulated that all the bodily states are primarily originated from the human brain which could be a promising region to detect drowsiness at an earlier stage. Among many physiological signals, electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS) are chosen for this study because they are proved to be more portable, easy to use, non-invasive, and reliable brain modalities for human mental state detection. Aim and Objectives: This study aimed to design a passive brain-computer interface (pBCI) scheme for the earlier detection of driver drowsiness with minimum intrusion into the driving task. Design objectives for the pBCI scheme were to select the channel of interest (COI), online detection with a shorter time window, minimum recalibration and setup time, and development of a widely applicable standard as an inter-subject transfer framework (iSTF) to cater to the inter-subject variability. All these objectives lead to such a pBCI system that is readily available for any subject, anytime, easy to use with minimal design, and yet detecting the drowsiness correctly at an earlier stage to avoid life losses. Methodology: Multichannel EEG and fNIRS brain signals from anterior, posterior, and lateral brain regions of sleep-deprived drowsy subjects were acquired during the simulated driving task for post hoc analysis. Initial pBCIschemes used labeled EEG data acquired from prefrontal (PFC), frontal, and occipital cortices for extracting the eight spectral, and eight temporal xvi features of EEG signals. Seven supervised machine learning classifiers were used to do the cross-validated binary classification of drowsy, and alert brain states. Initial design only achieved a few objectives and generated the need to use different modalities to meet all the requirements. The final pBCI scheme used labeled fNIRS data acquired from PFC and dorsolateral prefrontal cortices (DLPFC) for extracting the six cerebral oxygen regulation (CORE) and three hemodynamic signal features. CORE states of wakefulness and non-rapid eye movement (NREM) sleep stages were used to design a novel standard framework for wide applicability, and sleep stage classification using the vector phase analysis (VPA) approach. VPA was used for classifying microsleep/lapse, and drowsiness detection was done using the proposed brain hemodynamic patterns. Results: 𝛿, 𝜃, 𝛼, 𝛽 band powers as EEG spectral features achieved 82% accuracy in 10 s detection window. Signal skewness, variance, mean, peak as EEG temporal features achieved 87.2% accuracy in 1 s detection window. Ensemble classifier declared F8 as COI for earlier drowsiness detection using both the EEG pBCI schemes. Only the objectives of the short detection window and COI were achieved with the initial designs. In the final design with fNIRS, the novel VPA features: CORE vector gradients, achieved 94.1% accuracy in 5 s detection window for NREM sleep stage classification using ensemble classifier with the least computation time of 44 ms. Precise spatial localization of fNIRS declared AF8 position in right DLPFC as COI. The novel sleep stages-based threshold criteria along with VPA were crossvalidated as a standard iSTF for online microsleep detection with the least recalibration and setup time. Feature selection and achieved results were validated with various statistical significance tests. All the design objectives were attained with the fNIRS-based pBCI scheme. Conclusion: The aim to detect the driver's drowsiness earlier with minimum intrusion into the driving task, is accomplished. The presented fNIRS-based adaptive pBCI scheme is readily available for any subject, anytime, easy to wear with minimal ergonomic design, capable of real-time, correct, and early detection of the driver drowsiness to lessen the life losses in vehicular driving scenarios. The recommended research directions will surely justify, improve, and broaden the application horizons of the presented design 30cm..

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Handbook of minerals as nutritional supplements /

By DiSilvestro, Robert A.. Boca Raton : CRC Press, 2005 . 254 pages : 24 cm.. 0849316529

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Introduction to human nutrition /

. x, 471 pages : 26 cm. 9781119476979

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Design and Development of Toroidal Propeller for Drone Applications /

By Ali, Aarib Irfan . . 182p. , The demand for low-noise and ecient propulsion systems for unmanned aerial vehicles has driven research into unconventional propeller designs. One such promising conguration is the toroidal propeller, which has gained attention for its potential to reduce noise emissions while maintaining or improving aerodynamic performance. The research follows a methodology that begins with an extensive literature review and operating point selection to dene the design requirements and constraints. A validated computational setup was developed using unsteady RANS-based CFD simulations. Several toroidal propeller concepts were initially generated, out of which a baseline model was selected for further study. The baseline design was optimized using a Design of Experiments response surface methodology and obtain an optimized propeller with maximum thrust and reduced noise. Sensitivity analysis was carried out to assess the inuence of individual parameters on thrust, torque, and noise. The optimized design showed signicant improvements in thrust with considerable reduction in noise as compared to initial concepts. Aeroacoustic analysis was also performed to evaluate the noise characteristics of the toroidal conguration. Using broadband noise models, the toroidal propeller demonstrated promising reductions in tonal noise components, making it suitable for operations in noise-sensitive environments. To validate the computational ndings, experimentation validation was also performed. The optimized toroidal propeller was evaluated using ve dierent materials: ABS, PLA, PETG, CF PETG, and an Engineering Resin via Finite Element Analysis. Suitable manufacturing methods were employed and a custom test bench conguration XXII was built to test the propeller thrust and noise. The propeller was tested under controlled conditions for thrust and noise. The experimental results matched closely with the computational results and veried the validity of toroidal propelelr as viable replacement of traditional propellers for UAVs, oering advantages in both thrust and acoustic performance. The toroidal propeller showed higher value of thrust over complete range of RPM and and delivering upto 35% more thrust than traditional propeller at 15,000RPM. In addition, it also had a lower acoustic signature and was 11% quieter than the traditional propeller. The successful integration of computational design, optimization, and experimental validation demonstrates the practical potential of this novel propeller architecture. Furthermore, the research lays a foundation for future work involving transient LES acoustic modeling, in-ight testing, and applicationspecic customization of toroidal designs. 30cm.

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A Web of Things Architecture Focusing on Trust /

By Javaid, Sabeen . Rawalpindi, MCS (NUST), 2019 . xiii, 135 p

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