Department of Electrical Engineering
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Item Design Of Hemispherical Antenna For Breast Cancer(Publisher COMSATS University Islambad Lahore Campus, 2017) Iqra Asghar,; SP15-REE-005; Dr. Asim Ali Khan, Assistant Profesor [Supervisor]; LHR TP 6824Microwave imaging has proven to be successful for medical imaging applications including breast cancer, lungs cancer, brain stroke detection, cardiac imaging etc. Microwave imaging has the ability to detect malignancy present at depth of tissue, providing non-invasive imaging, measuring dielectric contrast between tissues. This imaging procedure provides an effective substitute of mammography, ultrasound or MRI as all these screenings provide unreliable and uncomfortable detection. In this thesis, microwave imaging system has been simulated for breast tumor detection. The designed microwave imaging system includes the use of holographic imaging. For the design of holographic imaging array, two-dimensional (2D) and three-dimensional (3D) breast models have been designed in MATLAB. Holographic array simulations have been carried out in MATLAB. To efficiently reconstruct an image, inverse scattering algorithm has been applied in holography imaging array. The building block of microwave imaging is to design a suitable antenna that must efficiently transmit and receive electromagnetic signals. An efficient compact double layer antenna has been designed in HFSS for the breast malignancy detection system. The antenna provides good impedance matching, wide bandwidth, stable and symmetric radiation pattern for near field imaging. To improve the performance of imaging system, the antenna was simulated in an array configuration. To overcome the drawbacks of array system, a novel array topology has been simulated in HFSS. The designed array system consists of separate transmitters and receivers for imaging, to provide low cost, reliable and effective detectiItem Mechine And Learning Based IoT Instruion Detection(Publisher COMSATS University Islambad Lahore Campus, 2018) Muhammad Saad Sarfraz Khan; , SP16-REE-006; Dr. Abbas Javed, Assistant Profesor [Supervisor]; LHR TP 6439In today’s world, technological advancements are gradually increasing, so small scale to large scale companies use the internet for business purposes. Other than that Internet of Things (IoT) is a current trend in the world. Most companies try to improve their companies by making them smart premises since this will give a lot of advantages; some are increasing customer satisfaction, saving time, control expenses, monitoring, and many more. So, with the rise of these technological advancements, diverse types of security issues like DDoS, malware, virus, worms, and many other issues occurs as well because of the software or device vulnerabilities. These are harmful to organizations’ sensitive data due to the violation of integrity, confidentiality, and availability. IoT devices have been extensively implemented in many different applications in recent years, such as smart homes, medical, heavy industry, agriculture, networks, security, transportation, etc. An adversary can capture the network traffic of IoT devices and analyze it to reveal user activities even if the traffic is encrypted. Due to the increasing number of cyber-attacks, we need IoT security solutions. The majority of the attacks are extended versions of previously known attacks and bypass the conventional firewall system. An Intrusion Detection System (IDS) performed an incredibly significant part to figure out the novel types of attacks by analyzing the network traffic. Machine Learning (ML) and Deep Learning (DL) based techniques such as Random Forest (RF), Support Vector Machine (SVM), J48, Naïve Bayes (NB), Logistic Regression (LR), etc. are used as a classifier to categorize the network traffic as normal and attack class. The objective of this research is to compare the impact of different Feature Selection (FS) techniques such as Information Gain (IG), Chi-Square, Correlation-based Feature Selection (CFS) subsets evaluator, Classifier based attributes, and other techniques on the accuracy, computational time and confusion matrix of ML & DL based techniques and identify the attack categories. FS methods and classifiers have been implemented on four different data sets NSL KDD, UNSW-15, CIC IDS2017, and TON_IoT and a comparative assessment of the outcome is presented. By applying our proposed comparative model, we will be able to trace out the malicious attacks i.e., DoS, DDoS, routing attacks, Man-in-The-Middle (MITM), etc. in the realm of IoT networks. This model detects the attacks with high accuracy and consumes less time as compared to the other methods.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 IOT Localization In Smart Buildings(Publisher COMSATS University Islambad Lahore Campus, 2019) Saad Ahmed Mansoor , Muhammad Irtaza; , SP15-BTE-009 , SP15-BTE-018; Dr. Arsla Khan, Assistant Profesor [Supervisor]; LHR TP 5881Internet of Things (IOT) is a propitious technology that is able to do wide range of tasks may it be in health sector, environment monitoring, transport systems, or any other commercial areas. This project deals with the designing of smart platform including four components, location of everything component, data collection component, data filtering/analyzing component and data mining component. From here gigantic volumes of data are being generated with the help of sensors installed in building which will detect user’s location as he/she enters the building. The user will have an IOT device like mobile acting as receiver. From the relevant sensor nodes placed in the region the data will then be collected and compiled to be processed into useful actions that can “command and control” things. This will make our lives much easier, safer and enhance its quality to a certain standard of living. This in a way will also likely reduce our impact on the surroundings. The vision of this new era is limitless, with astounding capacity to make our day to day life better.