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

Electric power systems : a first course

By Mohan, Ned.. Hoboken, N.J. : John Wiley & Sons, 2012 . xii, 243 p. : 27 cm.. 9781118074794 (acid free paper)

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Bullet magnet : britain's most highly decorated frontline soldier /

By Flynn, Mick.. [S.l.] : Weidenfeld & Nicolson, 2010 . 320 p. ; 24 cm.. 0297859919 (hardcover) | 9780297859918 (hardcover)

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Engine Testing

By Martyr, A. J.. Dublin : Butterworth, Limited 2007 9788131217405

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Build Your Own Electric Vehicle /

By Brant, Bob.. Blue Ridge Summit, PA : TAB Books, 1994 . x, 310 p. : 24 cm.. 9780830642311

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

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

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Spacecraft systems engineering /

By Fortescue, Peter. Hoboken, N.J. : Wiley, 2011 9780470750124 (hardback)

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Advances in Embedded Computer Vision \

By Kisačanin, Branislav.. 9781849967761

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Swarm Stability and Optimization /

By Gazi, Veysel.. 2011 9783642180408

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Unmanned Aerial Vehicles /

By Valavanis, Kimon P.. 2011 9789400711099

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Automotive engineering fundamentals

By Stone, Richard,. Warrendale, Pa. : SAE International, 2004 . xiv, 594 p. : 27 cm.. 9780768033564 (electronic bk.) | 076803356X (electronic bk.)

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Bio-Inspired Self-Organizing Robotic Systems /

By Meng, Yan.. 9783642207594

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Modelling and Control for Intelligent Industrial Systems : Adaptive Algorithms in Robotics and Industrial Engineering /

By Rigatos, Gerasimos G.. 9783642178740

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Ground support system for missiles and space vehicles.

By Brown, Kenneth. 1961 -

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Kempe’s engineers year-book for ... vol : 1 and 2

London : Morgan-Grampian, 2002 . 1344:p 0075-5400

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Liquid transportation fuels from coal and biomass : technological status, costs, and environmental impacts /

Washington, D.C. : National Academies Press, 2009 . xvii, 370 p. : 26 cm.. 0309137128 (pbk. : alk. paper) | 9780309137126 (pbk. : alk. paper)

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Brealey & myers on corporate finance : financing and risk management /

By Brealey, Richard.. [S.l.] : McGraw-Hill, 2002 . 448 p. ; , Hardcover. 25 cm.. 0071383786 | 9780071383783

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Investment planning /

By Hirt, Geoffrey.. [S.l.] : McGraw-Hill, 2006 . 450 p. ; , Hardcover. 28 cm.. 0071437215 | 9780071437219

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Structuring islamic finance transactions /

By Thomas, Abdulkader.. [S.l.] : Euromoney Institutional Investor, 2005 . 234 p. ; 26 cm.. 1843742136 | 9781843742135

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Sketchup 7.1 for architectural visualization : beginner's guide /

By Jongh, Robin de.. Birmingham : Packt Publishing, 2010 . 408 p. ; 24 cm.. 1847199461 (paperback) | 9781847199461 (paperback)

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Fundamentals of materials for energy and environmental sustainability /

Cambridge ; | New York : Cambridge University Press, 2012 . xvi, 753 p. : , Includes index. 29 cm.. 9781107000230 | 1107000238

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Alternative energy for dummies /

By DeGunther, Rik,. Hoboken, NJ : Wiley, 2009 . xviii, 362 p. : , Includes index. 24 cm.. 9780470430620 (pbk.) | 0470430621 (pbk.)

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Vehicle Thermal Management Systems: VTMS 4 : held on 24-26 May 1999 at the Hilton Brighton Metropole Hotel, Brighton, UK.

Warrendale, PA : Society of Automotive Engineers, 1999 . v. : , Published: Bury St. Edmunds, Suffolk : For the Institution of Mechanical Engineers by Mechanical Engineering Publications, 1995 ; Warrendale, PA : Society of Automotive Engineers, 1997- 28 cm..

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JANES MILITARY VEHICLES AND GROUND SUPPORT EQUIPMENT 1985

By GANDER, TERRY J. LONDON JANE'E PUBLISHING COY 1985 . 919P 0-7106-0811-X

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PR-SOF-1787-I. DEVELOPMENT OF BRAIN COMPUTER INTERFACE FOR ONE DOF PROSTHETIC GRIPPER II. RE-DESIGNING OF UNMANNED GROUND VEHICLES

By NC Fatima Farooq NC Amber Farooq GC Muzamil Ahmed . ISLAMABAD NUST COLLEGE OF EME 2019

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PROJECT REPORT AN INTRODUCTION OF THE ROLL PITCH AND BOUNCE CHARACTERISTICS OF A MILITARY VEHICLES USING AN ILLUSTRATED SUSPENSION

By ROYAL MILITARY COLLEGE. BRITINA ROYAL 1977 . 141P

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RADIO INTERFERENCE SUPPRESSION FOR MOTOR VEHICLES AND INTERNAL COMBUSTION ENGINES

USA BRITISH STANDARDS INSTITUTE 1953 . 17P

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The Chicago manual of style.

Chicago : The University of Chicago Press, 2010 . 1 v. (various pagings) ; 24 cm.. 9780226104201 (cloth : alk. paper) | 0226104206 (cloth : alk. paper)

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Advanced control of aircraft, spacecraft, and rockets /

By Tewari, Ashish.. Chichester, West Sussex : Wiley, 2011 . xvii, 436 p. : 26 cm.. 9780470745632 (hardback) | 0470745630 (hardback)

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Introduction to UAV systems /

By Fahlstrom, Paul Gerin,. . pages cm. 9781119802617

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Spacecraft systems engineering /

Hoboken, N.J. : Wiley, 2011 . xxxii, 691 p. : 25 cm.. 9780470750124 (hardback)

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Cooperative path planning of unmanned aerial vehicles /

By Tsourdos, Antonios.. Chichester, West Sussex, U.K. ; | Hoboken, N.J. : Wiley, 2011 . xix, 190 p. : 24 cm.. 9780470741290 (cloth)

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Unmanned aviation : a brief history of unmanned aerial vehicles /

By Newcome, Laurence R.. Reston, Va. : American Institute of Aeronautics and Astronautics, Inc., 2004 . vii, 171 p. : 23 cm.. 1563476444

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Smart Logistics System (SLS) /

By Dua, Fakhrunissa . . 125 p

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Perception of Emotion in Human-Robot Interaction /

By Zia, Muhammad Faisal. . 59p. , Perception of emotion is an intuitive replication of a person’s internal state without the need for verbal communication. Visual emotion recognition has been broadly studied and several end-toend deep neural networks (DNNs)-based and Machine learning-based models have been proposed but they lack the ability to be implemented in low-specification devices like robots, and vehicles. The drawbacks of conventional handcrafted feature-based Facial Emotion Recognition (FER) methods are eliminated by DNNs-based FER approaches. In spite of that, Deep Neural Network based FER techniques suffer from high processing costs and exorbitant memory requirements, their application is constrained in fields like Human-Robot Interaction (HRI) and HumanComputer Interaction (HCI) and relies on hardware requirements. In aforementioned study, we presented a computationally inexpensive and robust FER system for the perception of six basic emotions (i.e., disgust, surprise, fear, anger, happy, and sad) that is capable of running on embedded devices with constrained specifications. In the first step after pre-processing input images, geometric features are extracted from detected facial landmarks, considering the facial spatial position among influential landmarks. The extracted features are given as input to trainthe SVM classifier. Our proposed FER system was trained and evaluated experimentally using two databases, Karolinska Directed Emotional Faces (KDEF) and Extended Cohn-Kanade (CK+) database. Fusion of KDEF and CK+ datasets at the training level were also employed in order to generalize the FER system’s response to the variations of ethnicity, race, national and provincial backgrounds. The results show that our proposed FER system is optimized for real-time embedded applications with constrained specifications and yields an accuracy of 96.8%, 86.7% and 86.4% for CK+, KDEF and fusion of CK+ and KDEF databases respectively. As a part of our future research objectives, the developed system will make a robotic agent capable of perceiving emotion and interacting naturally without the need for additional hardware during HRI. 30cm.

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Experimentation and Validation of Analytical Modeling and Finite Element Simulation of Different Metal Sheets Using Incremental Sheet Forming (ISF) /

By Pasha, Muhammad Taqveem Ahsan . . 52p. , An ever increasing demand of manufactured products calls for new manufacturing techniques that are cost effective and efficient. The global population is at an unprecedented rise and anticipating an increased demand for efficient, cheap and durable vehicles as well as automobile parts is nothing but obvious. With a population of over 216 million people, Pakistan stands 5thin the global ranking population wise. The population boom in Pakistan is growing at the rate of about 1.8pc a year, which, when extrapolated to the year 2030, brings out a staggering figure of 240 million people. With little growth in the industrial sector of Pakistan, the local market is forced to import goods for the Pakistani consumer. This presents the businesses and manufacturers all over the world a great opportunity to attract a huge mass of potential buyers in the Pakistani market. However, being a struggling economy, the import culture immensely upsets the balance of imports and exports of Pakistan. The purpose of this research is to promote a cost effective means of manufacturing for the local firms in order to counter the huge influx of imports. Novel techniques will not only promote the culture of research and development in the country, but will also enable the local manufacturers to explore options to fulfil the demand in the local market and provide opportunities for indigenous talent to play their part in the economic development of the nation. Single Point Incremental Forming (SPIF) is a relatively new technique of sheet metal forming. It is a die-less process that shapes the metal sheet in incremental steps for precision and accuracy. The process is relatively simple; a tool path is generated in accordance with the CAD model, the metal sheet is subjected to forming force via computer numeric controlled tool in presence of a lubricant. Once the tool completes its path, the sheet is formed in the desired shape. The materials used in this research are procured from the local market of Pakistan, hence suggesting the automakers over here to try new lines of manufacturing that uses indigenous materials to minimize imports. This study is based on the incremental formability of two materials; Al 5083 and Low Carbon Steel (0.04% Carbon). Both materials are readily available in the local market. The research targets the results of ABAQUS simulations run on the aforementioned materials to experimentally verify them and see their applicability on the practical sid. 30cm.

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Data Acquisition & Experimental Analysis Of Power Harvesting From Suspension System /

By Hassan, Ahmad Sabur . . 66p. , Energy crisis and environmental problems such as oil shortage and atmospheric pollution have brought challenges for new development of an energy saving, efficient and environment friendly power transmission system in vehicles. This research is focused on how to use the vibrational energy of the suspension system to generate power that would otherwise go as waste. It is demonstrated that the potential energy of driving vibration is sufficient to be utilized as a sustainable energy. The vibrations experienced by the shock absorber of the vehicle when passed through some irregularities on the road are converted into useful energy by using a regenerative linear or rotary mechanism. As shock absorber effect formed, spring is compressed, and linear movement of rack is converted in rotary motion due to pinion moves as the rack is meshed with pinion. And the pinion is mounted on the shaft of the generator which then produce the power. It is then used to calculate the practical power generated from the regenerative shock absorber by taking the real vibrations amplitude data from the road. The vibrations amplitude data is acquired from the road by driving motorcycle on different road conditions with the setup installed in it to calculate and store the vibrations amplitude data. Later, the same data is applied to the testing rig by using pneumatic and Arduino to find out the voltage generated. The power that is practically generated by testing the mechanism on the rig is around 9.5 watts. The harvestable power from the suspension depends on the vehicle speed, road roughness and stiffness of the tire. This regenerated energy is used to charge the battery. 30cm.

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PR-SOF-2316-Detection and Tracking of Military Persons and Military Vehicles as Targets for Automated Turret Systems.

By Humna Idrees. ISLAMABAD: NUST COLLEGE OF EME, 2023

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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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Numerical Investigation of Hexacopter Downwash Airflow Field at Various Flight Speeds and Heights for Agricultural Spraying Operation. /

By Yawar Abbas, Muhammad . . 64p. ; , Multirotor Unmanned Aerial Vehicles (UAVs) as agricultural spraying drones have now become an integral part of the modern agricultural system. They are being used for spraying on the crops to protect the plants from different types of pests. When spray is distributed on the crops, it flows away from the target because of the wind field being created around the UAV. The downwash effect produced by the UAV significantly influences the spray deposition on crops. The downwash airfield generated by the hexacopter brings droplets to the crops, increasing the droplets’ deposition on the crops. Lattice Boltzmann Method was applied using CFD package XFlow to study the downwash field created by the hexacopter. The primary focus of the research is the downwash airflow field generated by the hexacopter that affects the motion distribution of droplets released from the sprayer at different flight speeds and altitudes. Previous research is limited to downwash effects on a drone with a wheelbase of 1000 mm. In this study, the downwash effect on a hexacopter drone with a spraying capacity of 30L and a wheelbase of 1900 mm is studied. We compared the results of our larger-wheelbase UAV with existing benchmarks. The UAV showed enhanced performance, achieving coverage and penetrable areas approximately double those of the benchmark. Based upon the results, the optimum flight height and flight velocity for spraying operation are 3 m and 4 ms-1 respectively under the condition of coverage and penetrable area. 30cm..

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Algorithms in advanced artificial intelligence /

New Yprk CRC Press 2024 . xxiii,520 Pages.; 9781032867984

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Improving Frequency-Aware Image Restoration Techniques for Real-World Degradations /

By Ayub, Nooh . . 74p. , Image quality often deteriorates under challenging weather conditions such as haze and snow, which create significant barriers for vision-driven intelligent systems, including autonomous vehicles, real-time surveillance, and remote sensing applications. To address this pressing challenge, we propose a comprehensive deep learning framework capable of simultaneously handling both image dehazing and desnowing in a unified manner. At the core of our design lies the NAFXT block—an advanced extension of NAFNet—that integrates Dynamic Tanh (DyT) normalization in place of the traditional layer normalization. Notably, DyT normalization is introduced for the first time in this context as a more effective alternative, offering superior adaptability compared to standard layer normalization within convolutional neural network (CNN) architectures, particularly the NAFNet framework. While layer normalization primarily ensures stable training and faster convergence, DyT normalization enhances the model’s ability to capture richer and more expressive feature representations. As a result, the proposed framework achieves better restoration quality while requiring fewer training epochs than several cutting-edge methods. In addition, we incorporate the Multi-Branch Dynamic Selective Frequency (MDSF) and Multi-Branch Compact Selective Frequency (MCSF) modules, originally introduced in FSNet, to promote frequency-aware global feature learning across multiple scales. The network further adopts a multi-input and multi-output encoder–decoder structure, where both NAFXT and residual blocks are systematically integrated at every stage to progressively refine the restored outputs. Extensive experiments performed on three widely recognized benchmark datasets confirm that our method consistently surpasses state-of-the-art approaches, achieving higher quantitative scores and delivering visually sharper, clearer, and more natural results in both dehazing and desnowing tasks. 30cm.

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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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