Final Year
Project Details
Biomedical Engineering
| Title | Area | Abstract | Program / Department | Group Member |
|---|---|---|---|---|
| A method to relief fatigue from muscles using electrical muscle stimulator | Healthcare | The daily life activities of human being to improve the living environment affect the health of individual’s muscles which needs a sustainable aid. However, researches have shown that electrical muscle stimulation can be used to increase muscle strength, smooth voluntary motor function, in the retardation and re-education of the muscles, and in increasing blood circulation. Therapeutic electrical stimulation improves neuromuscular functional condition by strengthening muscles, increasing motor control, reducing spasticity, decreasing pain and increasing range of motion. Electrical stimulation provokes muscle contraction and thereby produces a functionally useful movement during stimulation. Most of the equipment used to detect this is usually expensive. With this main goal, the contribution of this work to design of a low-cost device that will assist reliably in muscle fatigue is done. In this research, we design a therapeutic electrical simulation system to estimate the activity of any muscle in the human body. Such device can aid in muscular rehabilitation process and physical therapy process. This system is intended to be an inexpensive, transportable, and easy to maintain device. This system could be implemented in several fields, such as sport, ergonomics, rehabilitation or human-computer interactions. This device sends signals to targeted muscles to contract by generating repeated muscle contractions that stimulate the nerves, causing the twitching effect on the skin and the patient has to take recommended sessions. Depends on the patient’s condition, can start feeling better just after the first session and have to take multiple sessions, depending upon the intensity of the muscle condition and its symptoms. With certain precautions and limits. This all control of Electrical Stimulation device will be controlled through IR remote. Electrical Stimulation (ES) can improve the properties of muscles that might be convenient in the rehabilitation Programmed. | Biomedical Engineering | Syed Wajahat Anwar | 2018-BM-51 Maria Sohail | 2018-BM-53 Sana Hussain | 2018-BM-69 Aurangzeb Qureshi | 2018-BM-73 |
| Automated cardiopulmonary resuscitation device | Healthcare | When a cardiac arrest occurs, it is necessary to perform cardiopulmonary resuscitation (CPR) as soon as possible. This requires maintaining the pressure depth at 1.5 -2 inch at a rate of 100 per mint. For CPR machines, the return of spontaneous circulation (ROSC) is not superior to that of manual CPR, although CPR machines can maintain the compression rate and reciprocal distance of the compression plate more accurately. We design and implement an automated cardiopulmonary resuscitation (CPR) device, which could become a critical life-saving equipment of the future. We purpose to employ high torque gear motor for rotatory to rectilinear conversion which can achieve the desire result in a fraction of the exiting market price. The basic idea of the project is localized thumping piston-like-rod above the chest of the patient. We purpose DC motor to achieve this goal. Through this entire apparatus relies heavily on mechanical component like shaft, tie rod end, linear bearing, adjustable stand etc. there is scope to further develop electronic assembly for the same. We add a special feature, to control the motor through pulse oximeter sensor to detect the heart rate. | Biomedical Engineering | Kashif Iqbal | 2018-BM-50 Daniyal Saleem | 2018-BM-58 M. Azhar Imam | 2018-BM-76 |
| Automatic Audiometer | Healthcare | The ear is an organ that is capable of detection and recognition of sound and also plays role in the balancing and positioning of the body. Ears are vulnerable to noise. Hearing can be lost by two common causes, namely (hearing loss) or called as the decreased hearing conduction and (nerve hearing) sensorineural hearing loss. For the prevention of deafness, it is necessary to control hearing. Generally hearing function test is performed by the ENT specialist at hospital. If this may do repeatedly seems ineffective because of time consumption and relatively expensive. Therefore, the device has been designed for the early diagnosis of the loss of hearing. This device is equipped with an Arduino uno control for the prompt display of variation between multiple frequencies and decibel values, for the frequency XR2206 (frequency generator) is used. The functionality of device is overall proper and the error is within the tolerance of 10%. From the measured results, this device can be recommended for diagnosis of hearing function. | Biomedical Engineering | M. Rasib | 2018-BM-68 Syed Abdul Hadi | 2018-BM-60 Osama Iqbal | 2018-BM-52 |
| CardiCheck: An Innovation in Health Care Monitoring | Healthcare | In the modern era, technology is revolutionizing the health care industry. People are striving for easy and compatible devices. During such times, a device and an application has been developed that collects ECG signals from the body and displays them on the mobile phone's screen respectively. The developed application is designed in android studio’s framework specifically for phones with android operating system and built-in audio jack. The electrical activity of the heart and the associated waveforms are recorded by placing electrodes on the skin. Since the bio signals are very low in voltage an ECG module, AD8232, acquires the bio signals, filters and amplifies them. AD8232 is powered by a rechargeable Lithium battery which provides a constant 3.3v by the use of a voltage regulation circuit. The output of AD8232, ECG signal, is sent to the mobile through the audio pin. The designed application, CardiCheck, displays the signals received on the microphone pin of the audio jack in a voltage waveform. These waveforms can then be used to study the patient's heart condition. This is a compact and user-friendly device that will allow ECG monitoring anytime, anywhere. | Biomedical Engineering | Habiba Taher | 2018-BM-01 M. Azib | 2018-BM-13 Dua Amjad | 2018-BM-14 Syed Mustafa Imam | 2018-BM-44 |
| Development of smart chair as a diagnostic tool | Healthcare | With the world getting busier and health of the people is at stake, we are proposing an innovative chair named Smart chair as a diagnostic tool. It is a new model of Health Monitoring system for telemedicine and its development is based on sensor technologies. The proposed system assures health care services for people anywhere and anytime. It provides an assessment and continuously monitors the people’s health in their day – to – day work environment. Moreover, it also rapidly identifies and predicts health issues, enabling the subject to be seated in a relaxed posture during the acquisition of physiological signals from various sensors attached to his/her body. The raw signals from the sensors are processed digitally by an onboard microcontroller and analyzed for any common abnormalities in the health parameters via transmitting signals onto the user's phone screen through an Android application. This application receives the data from the Smart Chair via Bluetooth. Remote monitoring of subjects is an innovative way to provide better, instantaneous and low-cost access to healthcare as Internet of Things (IoT) has become an inevitable technology in various industries with the healthcare sector being the most emerging of all. The snapshot of results along with the corresponding text file can be sent as an Email/ MMS to a remote doctor for quick feedback or in case of an emergency, thus facilitating telemedicine at home, office or in rural areas as well. Throughout the design phase of the system, the cost is kept minimal. The key focus of the idea is to propose the design of a product that will be useful and easily affordable by the people of developing nations who have limited access to proper healthcare facilities. The regular use of this Diagnostic chair will result in an enhanced productivity, improved work factors, and reduced people's risks for chronic diseases such as high blood pressure (BP), physical inactivity, body mass index (BMI) which eventually result in the potential effectiveness in reducing health risks/certain disorders. | Biomedical Engineering | Ammara Aamir | 2018-BM-74 Hafiza Faiza | 2018-BM-78 Mubashara Jabeen | 2018-BM-80 Amna Shaikh | 2018-BM-41 |
| Dialyzer reprocessing unit for patients with ESRD | Healthcare | Hemodialysis is a medical procedure that helps to eliminate waste material from blood. People who are suffering from renal failure or last stage of kidney disease, dialysis are used to cure this situation. The blood filtering happens in a part of the machine called dialyzer, often referred to as an “artificial kidney’’. Dialyzers are made of a thin, fibrous material. The fibers form a semipermeable membrane, which allows smaller particles and liquids to pass through. The main process of purification takes place inside the dialyzer. Dialyzers are available on the commercial market in two disposable and reusable formats. The reusable dialyzer entitled the use of dialyzer maximum 16 times. In this report, we will prototype a low-cost dialyzer reprocessing unit which helps the dialyzer to get cleaned and disinfected. It becomes very expensive to import such machines, so the purpose of this project is trying to minimize the cost for such machines by providing this framework. Dialyzer reprocessing was first used in 1960, in USA. A DRU will ensure the effectiveness of dialyzer and made it cost effective. The dialyzer reprocessing unit cleans the biological liquid and store it with the disinfectant for later use as protection against bacteria. This low-cost dialyzer reprocessing unit uses a microcontroller for process control and water, hydrogen peroxide and renalin/formalin as cleansing and disinfectant. | Biomedical Engineering | Umar Yousuf | 2018-BM-20 Kunza Iman | 2018-BM-04 Kainat Fatima | 2018-BM-05 Musawwer Iqbal | 2018-BM-35 |
| Hand Talk-Assertive Device for the Deaf and Mute | Healthcare | The formation of sound waves for our voice is an intricate process. It requires the vibration of air particles that are exerted out from our lungs which in turn vibrate the vocal cords and produce the human voice. Unfortunately, not everyone is blessed with this ability. According to a research and development report in 2012, 7.40% of Pakistanis are deaf and mute. To address this problem, we developed our project. Our project utilizes a flex sensor, which detects the changes in flexion and extension of fingers for gesture formation, and an accelerometer that detects the spatial position of the hands during gesture formation. This data is processed by the microprocessor present, in this case, Arduino Nano, when the specific gesture is made a sound is produced with the help of the DF mini-player MP3 module and speaker present. | Biomedical Engineering | Zara Khan | 2018-BM-47 Zainub Zehra | 2018-BM-48 Faiza Farkhunda | 2018-BM-12 Hira Fayyaz | 2018-BM-26 |
| Integrated Modular Operation Room | Healthcare | Integrated Modular Operation Room basically allows the user’s ability to be enhanced in order to bring the amelioration for the critical condition of the patient in operation room. Therefore, we intend to design a system as a functional addition to an operating room to integrate the control of several devices from a single console for advanced digital operating room. We are designing a circuitry along with an application that is precisely based on IOT (internet of thing) which means we are integrating OR by utilizing a Wi-Fi module that is NodeMCU ESP32. Also, the system we intend to implement would be wireless and comprising of multiple circuitry that is coupled together for the attainment of our goal. By designing this project, we hope to have an alternative system that is deemed to be cost effective would definitely equal to those which are being imported and prove much expensive. | Biomedical Engineering | Maaz Hasnain Khan | 2018-BM-34 Mudassir Ali | 2018-BM-23 Zarmeen Asif | 2018-BM-28 Raheel Ahmed | 2018-BM-91 |
| Line Follower robot for sterilization of isolation wards in hospitals | Healthcare | One of the most important aspects of robotics is the line follower robot which is designed to move autonomously on a given path. A line follower robot can be used in various domestic and industrial applications such as delivery services and transportation or carrying goods etc. In the wake of pandemic, line follower robots are evolving in their functionality and now they are also utilized for the purpose of sterilization. Conventionally, domestic staff disinfects the hospital but in the current situation of COVID-19 the staff are at a higher risk of catching the virus. This line follower robot can help us in the sterilization and sanitization of the COVID isolation wards, reducing human contact and ultimately reducing the chances of virus transmission. This robot uses an array of three IR sensors that senses the line, this helps the robot to stay on track. Four DC gear motors are used which control the movement of wheels. The Arduino Uno interface is used to perform and implement algorithms to control the speed of the motors, steering the robot to travel along the line smoothly. This project is designed in such a way that it follows the track and also sterilizes and sanitizes the covered area. We have used a fine spraying mechanism to spray the disinfectant at the same time, U-V LED strips are also used for the sterilization purpose. All of this is precisely controlled using an Arduino UNO microcontroller. | Biomedical Engineering | Syeda Muneeba | 2018-BM-10 Bisma Sharmeen | 2018-BM-11 Aiman Khan | 2018-BM-03 Areesha Fatima | 2018-BM-17 |
| Multi-mode physiotherapy device for upper limbs | Healthcare | Musculoskeletal disorders (MSDs) in the health industry are quite common, dealing with MSDs improves quality of life and increases productivity. One of the most common practices is having physiotherapy sessions. Physiotherapy involves the holistic approach to the prevention and therapeutic management of pain and disorders of movement. For the non-invasive treatment of motions of muscles and bones multiple separate devices were used which causes loss of time and other resources. Multi-Mode Physiotherapy Device provides 5 advance modes all in one device. Two advanced heating technologies were used to produce desired results. one is thermal pads and the other is Infrared light. We have been successful to create such a device that contain five different modes treat all problems of physiotherapies. All in one device helps reduce time and cost for physiotherapies. It has been tested on a healthy individual’s bicep and wrist muscles that was slightly fatigued due to work related complaint, by using all the five modes of the device. Therefore, the modes are effective and safe in their own manner for the treatment of muscular pain relief. | Biomedical Engineering | Komal Zehra | 2018-BM-31 Rabbia Farhat | 2018-BM-64 Fizzah Abbas | 2018-BM-83 Anosha Baig | 2018-BM-88 |
| Patient record disinfection and transportation unit for hospitals | Healthcare | Because of the COVID-19 virus, human lives and livelihoods change extensively and the only way to minimizing the spread of the virus is to maintain social distancing and regularly do sanitization, sterilization and disinfection of our belongings and ourselves. Sanitization and sterilization have become an indistinguishable part of our daily life. Everything needs to be sanitized so that people could stay away from germs. Disinfection describes a process that eliminates many or all pathogenic microorganisms on inanimate objects, with the exception of bacterial spores. Disinfection is usually accomplished by the use of liquid chemicals or wet pasteurization in health care settings. This is why there’s a requirement for system which can be used to disinfect patient files in hospitals which should be designed and construct locally as well as cost effective. Ultraviolet (UV) light in nature is electromagnetic radiation produced by the sun. Ultra violet (UV) light is used for the purpose of disinfection or sterilization of rooms and surfaces. UV light disinfection in hospitals eliminates up to 97.7% of harmful pathogens. The use of ultraviolet light systems is becoming more widely used in healthcare facilities for disinfecting. UV light is employed as it has germicidal properties, in particular bacteria and viruses, but it is detrimental to human-beings as well. So, for the purpose of disinfection without human interference, a disinfection and transportation unit has been designed and implemented. | Biomedical Engineering | Rushda Amjad | 2018-BM-57 Zoya Saleem | 2018-BM-89 Rabbia Farhan | 2018-BM-16 Huzaifa Sher Muhammad | 2018-BM-84 |
| Portable health tracking system for Covid-19 era | Healthcare | Currently, the COVID-19 pandemic is one of the major global issues faced by health organizations. COVID-19 patients have several symptoms, such as fever, shortness of breath, decrease in oxygen saturation level, dry cough, diarrhea, vomiting, sore throat, headache, loss of taste and smell, body pain, and abnormal pulse rate. Among these symptoms, high fever, low oxygen saturation level, and abnormal pulse rate and respiratory rate are considered serious. Therefore, it is important for COVID-19 patients to be regularly informed about their health condition, especially body temperature, heart rate, respiratory rate and oxygen saturation (SpO2). Therefore, during this ongoing COVID-19 pandemic, Internet of Things (IoT) based health monitoring systems are potentially immensely beneficial for COVID-19 patients. This project presents an IoT-based system that is a real-time health monitoring system utilizing the measured values of body temperature, heart rate, respiratory rate, and oxygen saturation of the patients, which are the most important measurements required for critical care. This system has an organic light emitting diode (OLED) that shows the measured temperature, pulse rate, respiratory rate, and oxygen saturation level and can be easily synchronized with a web page for instant access. IoT-based tools may potentially be valuable during the COVID-19 pandemic for saving people’s lives. | Biomedical Engineering | Hafsa Israr | 2018-BM-61 Syed Ibad Hasnain | 2018-BM-90 |
| Real-time Tele-Stethoscope System | Healthcare | This real time tele-stethoscope system is used for the reception of heartbeat of an individual and also visualizing beats of a person so that physician or any individual is able to get a comparative visualization of the normal and abnormal heartbeats of that particular individual through this setup. Our system is cost affective, user friendly and easy to handle. We can further modify our system by using an application through which the audible heartbeats are able to analyze on the screen through application, this would be quite easy for the medical and clinical staffs and also for an individual living in remote areas as well in order to get the proper diagnosis of the patient within no time. So, the patient would receive proper treatment of the diagnosis such as cardiorespiratory diseases. | Biomedical Engineering | Rubaisha Waqar | 2018-BM-07 Hifza Waqar | 2018-BM-08 Dua Aftab Khan | 2018-BM-65 |
| Screening analysis in diabetic patients using artificial sweeteners based on MATLAB software | Healthcare | Sugar is considered as crucial part of diet but its excessive use is not good for human body i.e., teeth and weight scale, also the diabetic patient cannot process sugar in their blood due to scarcity of insulin. Therefore, the replacement of sugar is available in market as artificial sweeteners some of them marketed under names canderel, sucral and splenda having double the taste but less calories. Besides its significant benefits, previous studies on animals have been found to have unfavorable effects including weight gain, cancer, tumors and other health hazards. Scientist have been divided on this, since there are both supporting studies in its beneficences and in its harmfulness. The use of sugar substitutes is prevailing in both diabetic and non-diabetic people so the health issues are. Therefore, this research was designed on general public to study the side effects of artificial sweeteners in general. | Biomedical Engineering | Syeda Adeen Fatima | 2018-BM-43 Maleeha Jafar | 2018-BM-30 |
| Smart infusion pump | Healthcare | The ongoing corona virus disease (COVID-19) pandemic has swept all over the world, posing a great pressure on critical care resources due to large number of patients needing critical care. The patients are normally in an intensive care situation and their life is directly depending on the performance of a device. So, proposed solution is to namely designing a medical device (smart infusion pump) or drip-feeding pump which is capable of delivering fluids, medications and nutrients into the patient body in smaller or larger amounts. Our device is often considered the most safety-critical medical devices due to the nature of their operation and associated risks. The main objective of this research is to design and develop a cost-efficient infusion pump using embedded system. Proposed system is a prototype device, compact in size that may resemble or mimic the modern-day infusion pump. The components used in our project are reliable. Furthermore, we are trying to not only to detect the bubble inside the tube but also to remove that bubble and make it cost efficient. Generally, it will work on about 4-5 ranges. | Biomedical Engineering | Raniya Khan | 2018-BM-15 Dua Ali | 2018-BM-45 M. Shoaib Rauf | 2018-BM-49 Mohib Munshi | 2018-BM-77 |
| Ultrasonic and voice-based walking stick for blind | Healthcare | Ultrasonic Voice Based Walking Stick for Blind is an innovative device, which is an initiative to help blind people to resolve the problems faced by them in their daily life. The main objective of the device is to help blind people to walk with complete relieve and self-dependency. The development of smart blind walking stick plays its role in this regard by taking inputs from the environment through different obstacle detection sensors and feedbacks the user about the obstacles in its way to avoid the possible collision and damage between and among them. The feedback is provided by creating different voice alert tracks according to the hurdle through a voice module. The blind stick is integrated with three ultrasonic sensors at specific positions to the cane (stick) that provided information about the environment to the user by activating the buzzer and generating voice command about the obstacle distance, and darkness detector along with Arduino nano. The Ultrasonic Voice Based Walking Stick for Blind automatically detects the obstacle in front of the person by use of sensors present in the systems, it also incorporates darkness detection and alert the non-user by turning on LED light which is placed in front of the stick as well as alert the blind person by the help of voice commands. This report presents the smart walking stick based on ultrasonic sensors for visually impaired people. The purpose of this device is the low cost and light weight system designed with microcontroller that processes signal and alerts the visually impaired person over any obstacle, or dark areas through vibrations or voice commands. The system consists of obstacle and light detection sensors for receiving, processing and sending signals which finally alerts the user for prompt action. The system was designed, programmed using Arduino nano and tested for accuracy and checked by the visually impaired person. | Biomedical Engineering | Syeda Areeba Qadri | 2018-BM-42 Sunila Akram | 2018-BM-32 Fatima | 2018-BM-33 |
| Voice controlled wheelchair prototype | Healthcare | The project is based on wheelchair motion control through speech recognition. The main idea behind this innovation was to help and facilitate the movement in the physically disabled, diseased and elderly people who can’t move well. This design will help handicapped or diseased people to operate their wheelchair by using their voices so they can live independently. A handicapped or diseased people having locomotive disabilities need a wheelchair for performing functions that require them to move around. They can also do it manually with their hands but as many of them have weak upper limbs so they need an assistant to operate the wheelchair since it is difficult to have a helper 24 hours so to overcome these limitations it is convenient to provide them a voice control motorized wheelchair. All this must be provided at an affordable cost for as many handicapped or diseased people as possible. With all this in mind, we have designed a voice controlled easy to operate wheelchair prototype. To help facilitate those handicapped and elderly people we also have tried to design a voice control home automation system so such people can control their home appliances and AC power objects with their voices. | Biomedical Engineering | Amna Shaikh | 2018-BM-41 Rahima Ismail | 2018-BM-39 Hina Shah | 2018-BM-46 Zainab Irfan | 2018-BM-29 |
| Wireless Transmission for Child Health Monitoring System | Healthcare | Wireless transmission for child health monitoring jacket remotes monitoring technologies, aided by wireless data transmission, allow continuous monitoring of a child’s vital signs and introduce the possibility of physiological monitoring in the outpatient setting. The design represents a unique integration of sensor technology; with a reflectance of oxygen saturation, heart rate, and a wearable temperature sensor were proposed to be embedded into the smart jacket. The Wireless Transmission for Child Health Monitoring Jacket gets materials together with inventive clinical definite development; with a huge thought improvement line of bio-clinical things with different clinical applications. The coat would gather all information about the health status, direct and development of the adolescents, through temperature and various prosperity noticing sensors. The data gathered by LM35, MAX30102 is transmitted through Arduino Nano and received by ESP32; the gathered information is displayed on the LCD of the system as well as allowing being observed from a distance using local mobile applications such as “Blink” or by using a similar type of application under any other moniker. The device is rechargeable and embedded with a precautionary cutoff circuit, which also consists of a flame detection sensor and DHT11 for measuring the internal temperature of the system. | Biomedical Engineering | Noor Afshan Memon | 2018-BM-86 M. Wajahat | 2018-BM-81 Nabeel Shoaib | 2018-BM-67 Rimsha Azmat | 2018-BM-87 |
| CardiCheck: An Innovation in Health Care Monitoring | Healthcare | In the modern era, technology is revolutionizing the health care industry. People are striving for easy and compatible devices. During such times, a device and an application has been developed that collects ECG signals from the body and displays them on the mobile phone's screen respectively. The developed application is designed in android studio’s framework specifically for phones with android operating system and built-in audio jack. The electrical activity of the heart and the associated waveforms are recorded by placing electrodes on the skin. Since the bio signals are very low in voltage an ECG module, AD8232, acquires the bio signals, filters and amplifies them. AD8232 is powered by a rechargeable Lithium battery which provides a constant 3.3v by the use of a voltage regulation circuit. The output of AD8232, ECG signal, is sent to the mobile through the audio pin. The designed application, CardiCheck, displays the signals received on the microphone pin of the audio jack in a voltage waveform. These waveforms can then be used to study the patient's heart condition. This is a compact and user-friendly device that will allow ECG monitoring anytime, anywhere. | Biomedical Engineering | Habiba Taher | 2018-BM-01 M. Aziz | 2018-BM-13 Dua Amjad | 2018-BM-14 Syed Mustafa Imam | 2018-BM-44 |
Electrical Engineering
| Title | Area | Abstract | Program / Department | Group Members | |
|---|---|---|---|---|---|
| Delta 3D Printer | Aerospace/Automotive | Electrical Engineering | Yasharah Jawed Anas Arshad Ayesha Siddique | 2019-EL-03 2019-EL-13 2019-EL-27 |
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| Laser Engraving Machine | Wood/Glass Engraving | Electrical Engineering | Syed Moiz Ali Ahsan Abbas Ali Zaib Khan | 2019-EL-38 2019-EL-58 2019-EL-63 |
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| Dual Powered Electric Walking Bike | Power Generation | Electrical Engineering | Syed Ariz Ali M. Arsalan Siddiqui Afif Qaiser | 2019-EL-26 2019-EL-35 2019-EL-36 |
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| 220/132kV Auto Transformer Differential relay setting calculation study using GE P643 relay | Research | Electrical Engineering | M. Atif khan Lodhi Abdul Saboor Suleman Ali | 2019-EL-08 2019-EL-23 2019-EL-37 |
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| Design & Implementation of Smart Load Management System | Compensate several voltage related problems in the power grid | Electrical Engineering | Muhammad Sheikh Muneeb ur Rehman Saad Ali Khan | 2019-EL-12 2019-EL-19 2019-EL-25 |
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| IoT Based Smart Prepaid Energy Meter | Internet of Things | Electrical Engineering | Haris Ali Ali Wasif Syed Mubashir | 2019-EL-06 2019-EL-32 2019-EL-34 |
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| Designing of Alternator for Power Generation | Power Generation | Electrical Engineering | Abdul Hannan Tariq Tariq Rehman K Azhan Ahmed | 2019-EL-04 2019-EL-15 2019-EL-20 |
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| EHT Network Stability Analysis of K-Electric Using ETAP Software | Research | Electrical Engineering | Shahmir Shah Faizan Amjad | 2019-EL-64 2019-EL-74 |
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| DC Current Sink | Batteries Testing | Electrical Engineering | Uzair Ahmed Muhammad Arham Mohsin | 2019-EL-47 2019-EL-55 2019-EL-71 |
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| Robotic Arm Control Using Hand Gesture | Industrial Production | Electrical Engineering | Tallal Ahmed Ahsan Arain | 2019-EL-65 2019-EL-70 |
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| Smart Automatic Car Parking System | Internet of Things | Electrical Engineering | Abdul Salam Gul Aftab Ahmad | 2019-EL-61 2019-EL-68 |
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| Automatic Apple Sorting & Quality Inspection System | Real - Time Processing | Electrical Engineering | Sumair Ahmed C Ghulam Qadir B Asadullah Shaikh | 2019-EL-40 2019-EL-54 2019-EL-73 |
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| Load Identification with the Help of Current / Voltage Profile | Load Monitoring & Power Loss Management | Electrical Engineering | Zeeshan Shabbir Rashid Sikander Ali Muhammad Yousuf M Jhanzaib | 2019-EL-44 2019-EL-45 2019-EL-57 2019-EL-69 |
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| Rover Robot | Military | Electrical Engineering | S Zuhair H Naqvi Muhammad Hasan B S Wajdan Ali | 2019-EL-41 2019-EL-56 2019-EL-72 |
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| Hand Gesture Based Home Automation | Home Automation | Electrical Engineering | Muhammad Saud Asif Ali Shahab Uddin | 2019-EL-49 2019-EL-50 2019-EL-51 |
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| MODBUS Data Concentrator & Gateway | Telecommunications | Electrical Engineering | Akshay Kumar Raja Rohit Kumar Muhammad Ali | 2019-EL-39 2019-EL-60 2019-EL-67 |
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| Smart Water Supply Telemetry System | Water Measurements | Electrical Engineering | Ali Bux Naveed Zulfiqar Nabeel Asghar | 2019-EL-14 2019-EL-29 2019-EL-75 |
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| Voltage Stabilizer | Protection Systems | Electrical Engineering | Sumair Jani Baqir Ali Kaleemullah | 2019-EL-21 2019-EL-24 2019-EL-30 |
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| Portable Rapid Freezer (Compressor Free) | Indusrty Refrigeration | Electrical Engineering | Hassan Ali Adil Hasnain Arees Ahmed Talha Uddin | 2019-EL-42 2019-EL-43 2019-EL-53 2019-EL-59 |
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| Design & Optimization of Grid Integrated Energy System for SSUET using HOMER Software | Energy Capitalization | Electrical Engineering | Muhammad Usman Mian Babar Abbasi Tariq Hussain Mahar Umair Pervaiz | 2019-EL-01 2019-EL-02 2019-EL-16 2019-EL-31 |
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| Laser Head Cutter | Signage Cutting and Engraving | Electrical Engineering | Danish Bilawal Aurangzeb | 2019-EL-07 2019-EL-09 2019-EL-33 |
Telecommunication Engineering
| Title | Area | Abstract | Program / Department | Group Member | |
|---|---|---|---|---|---|
| AI Based Degradation Trend Estimation of Aerial Bundle Cable For Efficient Preventive Maintenance | Energy, IT | Aerial Bundle Cables (ABCs) are subjected to degradation due to various reasons, such as harsh environmental conditions including moisture, thermal, mechanical, and electrical loading conditions. Such degradation reduces the operational efficiency and life of the cables, which is a challenge for the power distribution industry and the associated maintenance managers. Condition monitoring offers a solution to this challenge as it enables cable health assessment and degradation state estimation. NDT techniques will facilitate condition health estimation. Suitable/appropriate degradation parameter selection helps in efficient and distinctive health/ condition assessment. Candidate parameters are as given: We will select a suitable degradation parameter on the basis of literature review and field survey. Also, Historical Database generation (periodic recording/ listing of Thermal Degradation Parameter/ Selected degradation parameter). This will lead us in the estimation of the degradation trend. Various prediction techniques can be applied for prediction of this degradation trend, these include data-driven, physical model-based, statistical and other approaches. Sophisticated AI based techniques will be used, is a manner to organize and use the knowledge efficiently in such a way that It should be perceivable by the people who provide it. This FYP focuses on implementing efficient AI based schemes for degradation trend estimation. This enables RUL estimation. This can be used by maintenance managers to efficiently plan maintenance activities. | Telecommunication | Syed Muhammad Ali Syed Sheraz Ahmed Asif Ali | 2019-TE-002 2019-TE-004 2019-TE-007 |
| IoT Based Health Monitoring System | Health Care | Internet of Things (IoT) is a new and fast growing technology in which everything ( smart objects and smart devices) are connected to the internet for effective communication between these connected things. Internet of things serves as a catalyst for the healthcare and plays very important role in wide range of healthcare monitoring applications. Networked sensors devices, either worn on the body or embedded in living environments, make possible the gathering of rich information to evaluate physical and mental health condition of the patient by collecting body temperature, blood pressure, ECG. Communicating this collected information to the doctor, making accurate decision on the data collected and notifying the patient is the challenging task in the Internet of things. | Telecommunication | Mujtaba Raza Zarnaab Zahid Gill | 2019-TE-001 2019-TE-003 |
| Brain Tumor Detection by using a Convolutional Neural Network | Health Care | The group of cells is spread to other areas within the body, Tumor are frequently either destroy tissue or cause issues within the different parts of the body due to the pressure of the Tumor pretend on the brain. Brain tumors are generally grouped according to the type of cells included (such as meningioma, lymphoma, glioma, pituitary organ, etc.) or brain area, and brain anomalies may be fatal altogether, affecting the qualities of life span additionally changing the entire thing for patients additionally their family. The indications of the brain Tumor depend on their location, tumor rate, organization, and estimate. A few non-malignant tumors that develop gradually can be gotten to be very expansive, sometimes recently creating indications since there's no swelling of the brain tissues. Brain Tumor as an abnormality is classified in two categories: benign and malignant Tumor. Benign Tumor is non-cancerous cells, and in contrast, malignant Tumor is cancerous cells because benign tumors have a slower growth rate as compared to malignant Tumor can grow uncontrollably. The Percentage of death rate increased because of invasive features of the brain tumor. But the early detection of brain tumors might increase the survival rate of a human. Now different modern imaging modalities: X-ray screening, PET, MRI, CT scans, and ultrasound screening are used to identify tumors in medical applications. The United Nations (UN) made a commitment to ensure safe and affordable access to healthcare for every person in the world through the 3rd Sustainable Development Goal (SDG3). This goal will only be achievable with strong and efficient health systems that address the different categories of diseases in proportion to the epidemiological burden they represent. | Telecommunication | Aftab Ali Naich Muhammad Sheryar | 2019-TE-005 2019-TE-009 |
Bioinformatics
| Title | Area | Abstract | Program / Department | Group Member | |
|---|---|---|---|---|---|
| To build an AI system using convolutional neural network (CNNs) and Python that can detect pneumonia from a Patient's X-ray images | Health Care | Pneumonia is a respiratory infection caused by bacteria or viruses; it affects many individuals, especially in developing and underdeveloped nations, where high levels of pollution, unhygienic living conditions, and overcrowding are relatively common, together with inadequate medical infrastructure. Pneumonia causes pleural effusion, a condition in which fluids fill the lung, causing respiratory difficulty. Early diagnosis of pneumonia is crucial to ensure curative treatment and increase survival rates. Chest X-ray imaging is the most frequently used method for diagnosing pneumonia. However, the examination of chest X-rays is a challenging task and is prone to subjective variability. In this study, we developed a computer-aided diagnosis system for automatic pneumonia detection using chest X-ray images. We employed deep transfer learning to handle the scarcity of available data and designed an ensemble of three convolutional neural network models. Chest X-Rays which are used to diagnose pneumonia need expert radiotherapists for evaluation. Thus, developing an automatic system for detecting pneumonia would be beneficial for treating the disease without any delay particularly in remote areas. Due to the success of deep learning algorithms in analyzing medical images, Convolutional Neural Networks (CNNs) have gained much attention for disease classification. In addition, features learned by pre-trained CNN models on large-scale datasets are much useful in image classification tasks. In this work, we appraise the functionality of pre-trained CNN models utilized as feature-extractors followed by different classifiers for the classification of abnormal and normal chest X-Rays. We analytically determine the optimal CNN model for the purpose. Statistical results obtained demonstrates that pretrained CNN models employed along with supervised classifier algorithms can be very beneficial in analyzing chest X-ray images, specifically to detect Pneumonia. | Bioinformatics | Areeba kamran, Muhammad Abdullah | 2019-BI-03 2019-BI-08 |
| A Comparative Machine Learning Framework for Cardiovascular Disease Classification | Health Care | Cardiovascular diseases (CVDs) are primary disorders of the blood vessels that mainly affects the heart. It is mainly linked to lipid deposits in the arteries and rapid increase of the blood clots. It leads to destruction of the organ and arteries which is technically referred to as coronary disease for which it accounts for most of the organ damage. CVDs is the leading cause of death in Pakistan and around the globe. To overcome this hurdle, a web application will be developed with the combination of Cardiovascular Informatics, machine learning and web designing. The created web application will be able to examine user data and determine whether or not the user is dealing with CVDs based on machine learning algorithms. It will predict whether or not there may be heart issues and to make better choices if they can predict which algorithm would function best for disease prediction. Such information can offer patients insightful understanding that enables them to recommend their advance diagnostic testing to clinicians. For our proposed research we will obtain the text-based data from Kaggle and use machine learning algorithms such as using KNN, logistic, random forest and Naïve Bayes that will allow for the detection and classification prediction of cardiovascular condition. For back end programming Python have been used with the help of numerous libraries and then the front end interactive web application has been designed. We compared machine learning algorithms in our research as it is considered to be the best approach for uncovering hidden connections for classification and prediction. Comparative analysis will be performed on the algorithm to identify their accuracy. Naive Bayes and Logistic Regression results have proven to show that the best accuracy rates for classifying CVDs. This study will contribute in the treatment and prevention of CVDs in the field of medical informatics. | Bioinformatics | Eraj Jawaid Bushra Mashooq Waliya Mustafa | 2019-BI-07 2019-BI-01 2019-BI-04 |