M.Phil / MS
Permanent URI for this collectionhttps://repository.cuilahore.edu.pk/handle/123456789/42
This collection archives the complete set of theses produced by students of the COMSATS University Islamabad, Lahore Campus.
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Item 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 7475Recently, 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. XItem 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 6847Inverted 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.Item 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 aItem 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 5432This 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.