Department of Electrical Engineering

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End date: 2019Subject: search.filters.subject.Electrical engineering, electronics and photonics

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    GSM Based Monitoring And Control Of Water Pump System
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2013) Ali Yusaf Khan , Saim-U-Dher , Rizwan Jaffar , She; SP09-BTE-014 , SP09-BTE-050 , SP09-BTE-068 , SP09-BTE-074; Miss Arsla Khan
    In this project, we are developing a system that will provide and monitor the functioning parameters of a remotely placed water pump. Sometimes, the user is not present on the actual location of the system. For that, he will have to connect wirelessly with the system. The project is designed to take into account values of temperature and voltage of pump. It also gives the opportunity of controlling the flow of water pumping through the pump. The system will work using GSM technology in which a mobile user will send an SMS to the water pump system and request certain values. The user may also send commands to change the flow of water.
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    Hybrid interference mitigation for cognitive small cells in 5G cellular networks /
    (COMSATS University Islamabad Lahore Campus, 2017) Muhammad Usman Iqbal; SP15-PEE-001/LHR; Ejaz Ahmad Ansari, Dr. Supervisor, AP
    I would like to express my deep and sincere gratitude to my Ph.D. supervisor, Dr. Ejaz Ahmad Ansari, Associate Professor, Head ECE Department, CUI Lahore and co supervisor, Dr. Saleem Akhtar, Principal Engineer, CUI Lahore for the opportunity to do research and providing invaluable guidance throughout this research. Their dynamism, vision, sincerity, and motivation have deeply inspired me. It was a great privilege and honour to work and study under their guidance. I am extremely grateful for what they have offered me. I would also like to thank them for their friendship and empathy. I am extremely grateful to my parents for their love, prayers, caring, and sacrifices to educate and prepare me for my future. I am very much thankful to my wife and my children for their love, understanding, prayers and continuing support to complete this research work. I would like to say thanks to my graduate supervisory committee members, Dr. Sobia Baig, Associate Professor, Head Energy Research Center (ERC), CUI Lahore and Dr. Ali Nawaz Khan, Assistant Professor, Department of ECE, CUI Lahore, for their constant encouragement. I express my thanks to Ms. Mayyda Mukhtar, secretary to the graduate committee for her genuine support in documentation throughout Ph.D. I also express my thanks to my cousin, Muhammad Owais Tahir, Research Associate, NCRA Agriculture Robotics Lab, LUMS Lahore, for his support in research work and valuable prayers. Finally, my thanks go to all the people who have supported me to complete the research work directly or indirectly
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    A 3D Accelerometer Based Human Activity Classification
    (COMSATS University Islamabad Lahore Campus, 2018) Aftab Paul,; FA16-REE-009; Contributor(s): Dr. Ali Nawaz Khan, Assistant Profesor [Supervisor]; LHR TP 7475
    Recently, Automated Human Activity Recognition has been extensively used for long term health monitoring of healthy individuals and to provide assisted living for the elderly. Long-term health monitoring systems have been successfully implemented for the prevention of chronic diseases like heart disease, obesity, workers syndrome, and other diseases related to sedentary lifestyle. Activities of Daily Living such as sitting, standing, walking, working in office, jogging, and running etc. can be efficiently classified using sensors such as 3D accelerometers, gyroscopes, and magnetometers. Such systems have demonstrated very high classification accuracies for activities performed for longer durations of time. However, these systems are unable to detect and classify transitory activities where the subject switches from one basic activity to another. For example, if a subject stands up from the chair to walk out of the room and then goes downstairs to reach ground floor of the office building has transitions from stationary sitting to standing and then walking, walking to going downstairs and then walking again and these transitions may not be classified correctly by existing automated human activity recognition systems since the models are trained using nonrealtime segmented data for each individual activity class. This research aims to develop a system for the detection of transitory activities. A Mobile phone-based accelerometer is used to record these activities from the chest of subject through MyNeuroHealth application. Data is collected, pre-processed, and classified into different activity classes. This data is used to train Artificial Neural Network to classify transitory activities. The proposed system achieved an accuracy of more than 50% with real-time data. Furthermore, it is also observed that using two accelerometers for collecting the movement data can enhance classification accuracy to 65%. Given that little or no work has been done in this dimension of HAR, this research may be extended to improve the accuracy of HAR for real-time automated long term health monitoring systems. X
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    To Design Hybrid AC-DC Droop Controller For Load
    (Publisher COMSATS University Islambad Lahore Campus, 2019) Ahsan Nadeem,; FA15-REE-001; Dr. Mirza Tariq Hamayun, Assistant Profesor [Supervisor]; LHR TP 6849
    In the 21st century there are several issues with the current electrical power system, such as production of green house gasses and losses (transmission line and conversion losses) that reduced the efficiency of power system. Currently, DC load demand of applications, such as telecom exchange networking system and electric vehicles (EVs) are increasing. In conventional power system, these loads are connected to main grid through converters. Moreover, diesel generators based backup solutions for telecom exchanges have several disadvantages, such as non-reliable starting of generator in cold weather conditions, maintenance of the generator, and exhaustive fumes. Furthermore, in recent times the use of EVs is increasing rapidly and now work place required to have own EV fast charging docking stations; therefore, in our simulation we consider the DC load of employees EVs along with the DC load of telecom exchange. A hybrid AC-DC micro-grid based on distributed generations is proposed as a suitable solution to reduce the multiple reverse conversions within the telecom exchange. For hybrid AC-DC micro-grid, we develop a droop controlled scheme that manage the power flow between AC and DC electrical networks by enforcing the normalized value of frequency equal to the normalized value of voltage of DC micro-grid. The controller provides, need based power sharing between AC and DC grids and enhance operational reliability of the network. The hybrid AC-DC micro-grid presented in this report is an effective solution to eliminate the excessive voltage conversion problem of telecom exchanges along with an efficient fast charging system for the EVs.
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    Model Identification And Control Of A Lab Based
    (Publisher COMSATS University Islambad Lahore Campus, 2018) Anila Barkat,; FA14-REE-011; Dr. Mirza Tariq Hamayun, Assistant Profesor [Supervisor]; LHR TP 6847
    Inverted pendulum control system has vast applications in the field of control system. Every system which is inherently unstable can be controlled like inverted pendulum is controlled. To design a Robust Control system for Inverted pendulum to investigate the behaviour of rapid change in scheduled parameters is aim of this thesis. The designed mechanism has a monitoring and calibrating VI (Virtual Instrument) which is constructed in LabVIEW. This VI send a step input to the inverted pendulum and obtain the transient response of the system from that response system’s model is identified. This model helped in control designing part because model of every system represents its characteristic. Then LPV controller is designed to cater for the parameters variations to enhance the performance and robustness. Moreover, the designed robust controller is implemented on the hardware platform to show its effectiveness. The identified mathematical model is validated by comparing the simulation and real time simulation results with LQR and PID controller.
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    A Research On Feasibility Of Intra Vehicle
    (Publisher COMSATS University Islambad Lahore Campus, 2018) Naeem Mirza,; FA13-MSEE-016; Dr. Ali Nawaz Khan, Assistant Profesor [Supervisor]
    In Intra Vehicular Wireless Sensor Network (IVWSN), Engine Control Units (ECUs) gathers information about the vehicle from the sensors over wireless channels. This information is then transferred to On-Board Unit (OBU) through Controller Area Network (CAN) in order to monitor and maintain vehicular operations. CAN bus is widely used wired media for communication between ECU and sensors by several car manufacturers but it requires very careful sensor deployment and wiring. In this research thesis, we have achieved low cost and energy efficient communication between (1) sensor nodes and ECU using CAN bus and (2) OBU and ECU within Vehicular Ad Hoc Network (VANET) using Bluetooth low energy (BLE) CC2540/CC2541 modules that can be readily employed in densely urban environment for wireless inter vehicular (up to 50m range) as well as wireless intra vehicular (up to 10m range) communication. The BLE system was invented for the purpose of transmitting small packets of data at once, while consuming less power than Basic Rate & Enhanced Data Rate (BR & EDR) and IEEE 802.15.4 standard based ZigBee devices. A typical communication scenario involves either a Peripheral/ Central or Broadcaster/ Observer device pair. For our tests, we have chosen the Peripheral/ Central modes as they provide greater flexibility to configure application parameters and allow bidirectional communication. We have included comparison between BLE and CAN bus for communication between (1) ECUs and sensors and (2) ECU and OBU, in terms of energy efficiency, throughput, latency and coverage area. Furthermore, wireless communication between ECUs and sensors had been a
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    Dynamic Adjustments Of Threshold Temperatures
    (Publisher COMSATS University Islambad Lahore Campus, 2019) Muhammad Ibtesam; , FA15-REE-004 Contributor(s); : Dr. Naeem Shahzad, Assistant Profesor [Supervisor]; LHR TP 5432
    This research work addresses the issues of thermal emergencies in real-time embedded system using scheduling based algorithms. The algorithms considers execution of periodic task sets including both independent and dependent tasks over homogeneous multi-core processors without violating deadlines. We propose two algorithms in this work. The first one adjusts the thermal threshold values based on the processor utilization to reduce thermal peaks and thermal spatial gradients for independent periodic task sets. The second algorithm is a DVFS enabled load-balancing algorithm for execution of dependent periodic task sets to reduce the temperature peaks and spatial gradients. The proposed algorithms are evaluated in a simulation environment using a scheduling and thermal model for synthetic and bench marks techniques. The used hardware platform comprises four and eight cores. The results show that GTAI with 74ºC threshold reduces average temperature up to 6ºC and maximum temperature spatial gradient was reduced by 33% as compared to benchmarks techniques. The DVFS enabled DFS was able to decrease peak temperature by 31% and temperature spatial gradients by almost 50% in a 4-Core system.
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    Smart Energy Harvesting (SEH) Using Physical Exerc…
    (Publisher COMSATS University Islambad Lahore Campus, 2017) By: M.Usama Zafar , Zeeshan Khalid; , DDP-SP13-BEE-032 , DDP-SP13-BEE-047; Mr. Hasnain Kashif, Assistant Profesor [Supervisor]
    The Smart Energy Harvesting using physical exercising machines which are feasible enough to harvest power seems to generate a new source of renewable energy. Biomechanical energy harvesting constitutes a clean, portable energy alternative to the fossil fuels currently being used. Biomechanical energy harvesting is a novel approach for producing energy for small devices. The energy expended in a typical workout at the gym is usually wasted in the mechanics of the equipment. This project will harness the mechanical energy of the machine and convert it to electrical energy using a generator based system. The exercise equipment will be attached to a generator. This creates a dc voltage which will be fed into a DC-DC converter and then sent to a battery where it can be stored for future use. This proposed system will help consuming our physical energy in some useful way.
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    Recovery Of Hydrogen From 5500 Nm3/Hr Ammonia
    (Publisher COMSATS University Islambad Lahore Campus, 2014) Muhammad Abdul Qyyum; FA10-BEC-041; Asim Laeeq Khan, Assistant Profesor [Supervisor]; LHR TP 5920
    Every atomic element ever in the history of the universe began as a H2 atom that had undergone nuclear fusion within a star. In other words, every one of us is a byproduct of H2. It is mainly used in the synthesis of nitric acid, which is used in fertilizers and explosives. There are many processes from which we can produce NH3 including Haber process, Cryogenic process, NH3 from natural gas, Electrolysis, Partial oxidation, Adiabatic reforming, Coal gasification. In this project, we have separate H2 from NH3 purge gas using Poly Sulfone Membrane Technology. In ammonia production, hydrogen and nitrogen are reacted at high pressure to form ammonia. Since the conversion per pass is not 100%, the reactor is operated in loop mode. In the processes, a purge stream from an ammonia synthesis loop, which purge stream contains NH3, is contacted at a super atmospheric pressure with the feed side of a separation membrane which exhibits selective permeation of each of hydrogen and ammonia as compared to the permeation of each of methane and argon. A total pressure differential across the membrane is maintained to provide a driving force for the permeation of H2 and NH3 through the membrane. A H2-rich permeating gas which contains ammonia is obtained on the permeate exit side of the membrane. T
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    Modeling And Implementation Of Converter Based
    (Publisher COMSATS University Islambad Lahore Campus, 2019) M. Hussaan Khan , M. Zahab Rashid,; FA15-BTE-036 , FA15-BTE-052; Nisma Saleem, Assistant Profesor [Supervisor]; LHR TP 5887
    Reliability and cost-effectiveness are the main reasons behind the extensive use of induction machines in industry. However, major drawback of Induction machine is that they draw reactive power. Several techniques were adopted in past in order to improve the performance of Induction machine. In recent years, Rectifiers and Inverters were introduced and gained a lot of attention and helped in improving the Dynamic performance and Power Factor of an Induction machines. In this project, a Converter-based circuit is designed and attached with an Induction machine in order to explore the Dynamic performance and to improve the Power Factor of machine. A model is designed in SIMULINK and its performance is judged. Then an experiment is conducted by implementing the same model on induction machine. Different parameters are observed like efficiency, Power Factor and Dynamic performance of Induction machine (which includes starting, loading, load changing, capacitor voltage, rotor current, stator current and speed). However, simulated and experimental results should showcase an agreement. Moreover, the above-implemented technique is compared with previous Power Factor improvement techniques, which were adopted in past in order to improve the performance of Induction machines