Microfluidic Flow Control using Magnetohydrodynamics KayDrive
Fluid manipulation in microfluidic devices is one of the main areas of research interest for the fabrication of Lab-On-a-Chip devices. From the many methods that have been applied to this problem, one of the most promising is employing Magnetohydrodynamic principles which allow for elegant and versatile designs. A microchip is designed for fluid flow control that uses MHD for pumping the fluid through a microchannel. Simulation of the design is performed in COMSOL and the velocity profile of the fluid is obtained. The microchip is fabricated, and experiments are performed by measuring the flow rate of a conducting fluid as it is pumped by the Lorentz force. The experimental results are then compared with the simulation results to compare the performance of the device to theoretical computations.
The main objective of this project is to advance the local merchants, by creating a community where people can share their meaningful experiences and help each other find the best option available out there, saving time and money.
The gist of our project encapsulates mainly the manufacturing phase of a ring spinning machine.
A ring spinning machine forms threads by isolating individual fibers from yarn, and twisting those fibers co-axially about each other, hence forming a single coalescent thread having been imparted the strength of each fiber.
This project was designed and manufactured locally and the cost was reduced by 78.33% by comparing it with imported machinery.
This document outlines a senior design project for an energy audit and cost analysis of an ammonia plant. The objectives are to understand what an energy audit is, why companies need them, and to analyze the energy efficiency and bottlenecks in Fatima Fertilizers' process. The team will collect plant data, perform calculations and simulations, analyze results, recommend improvements, and conduct a cost analysis. The timeline shows milestones from November 2020 to May 2021. Software like Excel, Polymath, AspenHysys, and MATLAB will be used, along with energy index data from Fatima. Regular communication with industry professionals is also part of the project resources and references.
CodeX is a big data analytics solution that uses novel secure processing and highly efficient data search and analysis techniques. It has a microservices-based architecture in the cloud that offers unique services to Fortune 500 customers. Pegasus is a highly distributed big data storage and ETL solution that can handle structured, unstructured and semi-structured data within the same architecture using different databases. It is optimized for open source intelligence data and integrates with CodeX's big data platform.
VTrack is a mobile app that allows schools and parents to track student transportation vans. It provides live tracking of each van's location, speed, and route. Parents receive notifications of their child's pick-up and drop-off times. They can also provide feedback to the school. The app aims to ease parents' safety concerns by increasing visibility into their child's transportation. It was originally intended for a university service but shifted focus to grade schools where tracking young kids is most useful.
HearAct is a sign language interpreter for Pakistani Sign Language (PSL) that uses sensors to record hand orientation and gesture coordinates and passes that data to a recognition model to display the corresponding word or sentence. It aims to help the over 250,000 deaf or speech-impaired people in Pakistan communicate by reducing their dependency on others and enabling mobility through a portable, cost-effective solution. The project is supervised by Sir Abdul Basit and developed by team members Ayesha Dojky, Saif Rehman, Shehrbanu Karim, and Zahra Hussaini.
Microfluidic Flow Control using Magnetohydrodynamics KayDrive
Fluid manipulation in microfluidic devices is one of the main areas of research interest for the fabrication of Lab-On-a-Chip devices. From the many methods that have been applied to this problem, one of the most promising is employing Magnetohydrodynamic principles which allow for elegant and versatile designs. A microchip is designed for fluid flow control that uses MHD for pumping the fluid through a microchannel. Simulation of the design is performed in COMSOL and the velocity profile of the fluid is obtained. The microchip is fabricated, and experiments are performed by measuring the flow rate of a conducting fluid as it is pumped by the Lorentz force. The experimental results are then compared with the simulation results to compare the performance of the device to theoretical computations.
The main objective of this project is to advance the local merchants, by creating a community where people can share their meaningful experiences and help each other find the best option available out there, saving time and money.
The gist of our project encapsulates mainly the manufacturing phase of a ring spinning machine.
A ring spinning machine forms threads by isolating individual fibers from yarn, and twisting those fibers co-axially about each other, hence forming a single coalescent thread having been imparted the strength of each fiber.
This project was designed and manufactured locally and the cost was reduced by 78.33% by comparing it with imported machinery.
This document outlines a senior design project for an energy audit and cost analysis of an ammonia plant. The objectives are to understand what an energy audit is, why companies need them, and to analyze the energy efficiency and bottlenecks in Fatima Fertilizers' process. The team will collect plant data, perform calculations and simulations, analyze results, recommend improvements, and conduct a cost analysis. The timeline shows milestones from November 2020 to May 2021. Software like Excel, Polymath, AspenHysys, and MATLAB will be used, along with energy index data from Fatima. Regular communication with industry professionals is also part of the project resources and references.
CodeX is a big data analytics solution that uses novel secure processing and highly efficient data search and analysis techniques. It has a microservices-based architecture in the cloud that offers unique services to Fortune 500 customers. Pegasus is a highly distributed big data storage and ETL solution that can handle structured, unstructured and semi-structured data within the same architecture using different databases. It is optimized for open source intelligence data and integrates with CodeX's big data platform.
VTrack is a mobile app that allows schools and parents to track student transportation vans. It provides live tracking of each van's location, speed, and route. Parents receive notifications of their child's pick-up and drop-off times. They can also provide feedback to the school. The app aims to ease parents' safety concerns by increasing visibility into their child's transportation. It was originally intended for a university service but shifted focus to grade schools where tracking young kids is most useful.
HearAct is a sign language interpreter for Pakistani Sign Language (PSL) that uses sensors to record hand orientation and gesture coordinates and passes that data to a recognition model to display the corresponding word or sentence. It aims to help the over 250,000 deaf or speech-impaired people in Pakistan communicate by reducing their dependency on others and enabling mobility through a portable, cost-effective solution. The project is supervised by Sir Abdul Basit and developed by team members Ayesha Dojky, Saif Rehman, Shehrbanu Karim, and Zahra Hussaini.
Woxcut is a platform that allows users to create and run cryptocurrency trading bots with custom strategies. It aims to allow users to choose from pre-existing strategies, integrate with existing exchanges via APIs, and run bot instances on the cloud. The platform also seeks to develop an internal machine learning model to help users make optimal trading decisions.
The document describes a project called "Colour It" that aims to automatically colorize grayscale images without human assistance. The system trains a computational neural network on over a million colored images to learn statistical dependencies between image semantics and textures and their colored versions. Users can upload grayscale images to be colorized by the system in a fast and realistic way. The goals are to give users the ability to easily colorize images with minimal processing time and output images that are close to the original ground truths. This technique could benefit medical imaging and colorizing old black and white films while training convolutional neural networks.
GoSpark is a platform that uses beacons and a mobile application to track customer behavior in stores. This allows businesses to gain insights into shopping patterns and trends. The goal is to help retailers increase sales and customer loyalty by providing personalized promotions and a better understanding of customers. The project will require implementing a website and mobile app connected to beacons placed in stores to anonymously track customer movement and send targeted notifications.
1. Beautyou is a virtual makeup applicator that allows users to try on makeup, lenses, and accessories virtually before purchasing through an e-commerce website.
2. The objectives are to build a virtual makeup trier to help users safely apply products virtually and promote online purchases of makeup.
3. Motivations include the growth of the beauty industry, need for solutions to virtually try products at home, and improvements in augmented reality technology.
The document describes a project called "Colour It" that aims to automatically colorize grayscale images without human assistance. The system trains a computational neural network on over a million colored images to learn statistical dependencies between image semantics and textures and their colored versions. Users can upload grayscale images to be colorized by the system in a fast and realistic way. The goals are to give users the ability to easily colorize images with minimal processing time and for the colored image to closely match the original if it was in color. This technique could benefit areas like medical imaging and restoring old black and white films and videos.
The document describes a mobile application called Nan-Baby that connects parents with babysitters. The application was created by students Syeda Ayesha Fahim Junaid Zia Khan Kehkashan Salman and is supervised by Mr. Asad Ali. Nan-Baby aims to provide qualified, educated babysitters to watch children either at the babysitter's home or the parent's home. The motivation was to create opportunities for female students in Pakistan to babysit. The app allows parents to book babysitters near them and choose between having the babysitter come to them or dropping the child off.
Shift is a mobile app that uses image recognition to help online shoppers find products. It allows users to upload photos of items they want to find and it will identify colors, shapes, sizes and product categories to provide matching results. This provides a better search experience than relying only on keywords, as Shift can identify hard-to-describe items. The app aims to reduce average search times for customers and provide a simpler way to find products online through its augmented reality search features.
The document proposes a spatial design solution for social and educational reformation for street children in Karachi. The design includes a master plan with blocks for vocational training, detoxification, rehabilitation and administration, residence, and views. The plan aims to provide street children services for detoxification, rehabilitation, vocational training, residence, and administration.
This document outlines a final year project to develop a scheduling algorithm using genetic algorithms. The project is supervised by Dr. Imran Khan and involves Bushra Qureshi, Maham Faiz, Mariam Imran, and Sheeza Shakeel. The algorithm aims to effectively schedule classes while addressing constraints like classroom availability, professor and student schedules, and course requirements. It will use genetic algorithm operators like initialization, selection, crossover and mutation to generate timetables that satisfy constraints and optimize resource allocation and scheduling. The resulting automated timetable generation process is expected to reduce time spent creating schedules and address issues like clashes in current manual systems.
This document outlines a final year project to design a UAV that can transform into a UGV for 3D mapping and image processing. It includes sections on the overview, block diagram, methodology, flow chart, Gantt chart, and conclusion. The objectives are to create a low-cost hybrid quadcopter that can fly autonomously using sensors and also navigate on the ground for applications like search and rescue, disaster response, and surveillance missions. It proposes using a rolling cage mechanism for the UAV to UGV transformation.
This document discusses using virtual reality exposure therapy with a Kinect motion sensor to treat phobias at medical rehabilitation centers in Pakistan. It proposes developing virtual reality environments that systematically expose patients to phobia triggers, such as heights for acrophobia therapy. Market research found interest from private hospitals to use the tool for treating anxiety disorders. The revenue model would involve subscription or software/hardware packages, and software maintenance costs. Key milestones achieved include designing interfaces for acrophobia therapy with increasing exposure levels and developing early environments for claustrophobia and spider phobia therapy.
Marketmizer is a software that will optimize Jovago Pakistan's marketing budget allocation across different online channels like SEM, social media, affiliates etc. based on the company's past marketing performance data. It will help address issues with Jovago's current manual budgeting approach by predicting future bookings and providing visualizations of marketing trends. The software will utilize machine learning algorithms and genetic algorithms to model marketing data, identify trends, validate predictions and suggest an optimal budget allocation to help Jovago achieve targets like reducing costs per booking while increasing revenues and lowering bounce rates.
CodeX is a big data analytics company that offers unique services to Fortune 500 customers through its microservices-based cloud platform. Pegasus is CodeX's big data ETL solution that handles structured, unstructured, and semi-structured data within the same distributed storage architecture using different databases for different data types. Pegasus also has built-in ETL capabilities, allows querying across databases via a central authority, and is optimized for open-source intelligence data through its integration with CodeX's big data solution.
This document summarizes an undergraduate final year project presentation on developing a laboratory workbench for partial discharge measurement of electrical equipment. A team of four electrical engineering students presented their work on designing and building equipment to detect partial discharges, which can indicate insulation issues in transformers and other high-voltage devices. They proposed using acoustic sensors to detect partial discharge signals and developed simulations, hardware, and plans for further study on applying their technique to other power equipment.
This document summarizes an undergraduate final year project presentation on induction motor drives for an electric car. A team of four electrical engineering students from the University of Engineering and Technology Lahore presented their work. They proposed designing a PWM inverter using IGBTs to power a three-phase induction motor for an electric car and implementing semi-autonomous control via Bluetooth. The team conducted simulations of various PWM techniques in MATLAB and designed inverter components. Their future work involves building a prototype and implementing mobile control of the car's motion and direction.
The document summarizes an undergraduate final year project presentation on developing a blind assistant robot. It introduces the student team members and their specializations. It states that the problem is to help the nearly 2 million blind people in Pakistan who currently rely on unreliable white canes. The proposed solution is a robot that uses mapping techniques to safely and reliably guide visually impaired individuals along a path. The presentation describes the robot's hardware including sensors to detect obstacles and buttons to select maps, and its ability to also control home appliances through voice commands to a GSM module. It outlines work done so far, future plans, and includes a Gantt chart and references.
A team of 4 electrical engineering students presented their smart shopping cart project. Their cart scans items as customers add them and allows payment at checkout to speed billing. It uses a Raspberry Pi, barcode scanner, touchscreen, and load cell. Features include manager controls, ads, search, and reports. They received positive feedback from local malls and linked carts to a central server. Future work includes improved GUI, anti-theft techniques, and a product prototype.
This document summarizes an undergraduate final year project presentation on a DC fault tolerant modular multilevel HVDC converter using switched capacitor submodules. A team of 4 electrical engineering students from the University of Engineering and Technology Lahore presented their work. Their proposed solution uses a modular multilevel converter with switched capacitor submodules to allow for DC to AC conversion with low total harmonic distortion and without needing expensive DC circuit breakers. So far the team has simulated the design in MATLAB and implemented a single phase, 3-level prototype on hardware. Their future work involves extending this to a 5-level design and making the converter tolerant of DC faults.
The document describes developing a multilayer coating of electroless nickel and electrolytic chromium/copper on an aluminum 7075 substrate. The coating is intended to improve adhesion, wear resistance, conductivity, and corrosion resistance while achieving a thickness of 10 microns. The coating process involves surface preparation including degreasing, activation, and zincating followed by electroless nickel deposition and electrolytic chromium plating. Characterization of coated and uncoated samples found that the coated sample had better corrosion resistance, hardness, and conductivity. Some issues with reproducibility were identified for further improvement.
This document describes a project to efficiently print electronic circuits using conductive silver nanoparticle ink on flexible substrates. The project aims to enable lower-cost and faster prototyping of circuits compared to traditional printed circuit board fabrication. Key steps involve synthesizing and capping silver nanoparticles, incorporating them into inkjet printer ink, printing test circuits, and sintering the printed nanoparticles to increase conductivity. Characterization techniques like microscopy, XRD and conductivity testing are used to analyze the printed circuits. The goal is to establish a new method for flexible printed electronics.
Woxcut is a platform that allows users to create and run cryptocurrency trading bots with custom strategies. It aims to allow users to choose from pre-existing strategies, integrate with existing exchanges via APIs, and run bot instances on the cloud. The platform also seeks to develop an internal machine learning model to help users make optimal trading decisions.
The document describes a project called "Colour It" that aims to automatically colorize grayscale images without human assistance. The system trains a computational neural network on over a million colored images to learn statistical dependencies between image semantics and textures and their colored versions. Users can upload grayscale images to be colorized by the system in a fast and realistic way. The goals are to give users the ability to easily colorize images with minimal processing time and output images that are close to the original ground truths. This technique could benefit medical imaging and colorizing old black and white films while training convolutional neural networks.
GoSpark is a platform that uses beacons and a mobile application to track customer behavior in stores. This allows businesses to gain insights into shopping patterns and trends. The goal is to help retailers increase sales and customer loyalty by providing personalized promotions and a better understanding of customers. The project will require implementing a website and mobile app connected to beacons placed in stores to anonymously track customer movement and send targeted notifications.
1. Beautyou is a virtual makeup applicator that allows users to try on makeup, lenses, and accessories virtually before purchasing through an e-commerce website.
2. The objectives are to build a virtual makeup trier to help users safely apply products virtually and promote online purchases of makeup.
3. Motivations include the growth of the beauty industry, need for solutions to virtually try products at home, and improvements in augmented reality technology.
The document describes a project called "Colour It" that aims to automatically colorize grayscale images without human assistance. The system trains a computational neural network on over a million colored images to learn statistical dependencies between image semantics and textures and their colored versions. Users can upload grayscale images to be colorized by the system in a fast and realistic way. The goals are to give users the ability to easily colorize images with minimal processing time and for the colored image to closely match the original if it was in color. This technique could benefit areas like medical imaging and restoring old black and white films and videos.
The document describes a mobile application called Nan-Baby that connects parents with babysitters. The application was created by students Syeda Ayesha Fahim Junaid Zia Khan Kehkashan Salman and is supervised by Mr. Asad Ali. Nan-Baby aims to provide qualified, educated babysitters to watch children either at the babysitter's home or the parent's home. The motivation was to create opportunities for female students in Pakistan to babysit. The app allows parents to book babysitters near them and choose between having the babysitter come to them or dropping the child off.
Shift is a mobile app that uses image recognition to help online shoppers find products. It allows users to upload photos of items they want to find and it will identify colors, shapes, sizes and product categories to provide matching results. This provides a better search experience than relying only on keywords, as Shift can identify hard-to-describe items. The app aims to reduce average search times for customers and provide a simpler way to find products online through its augmented reality search features.
The document proposes a spatial design solution for social and educational reformation for street children in Karachi. The design includes a master plan with blocks for vocational training, detoxification, rehabilitation and administration, residence, and views. The plan aims to provide street children services for detoxification, rehabilitation, vocational training, residence, and administration.
This document outlines a final year project to develop a scheduling algorithm using genetic algorithms. The project is supervised by Dr. Imran Khan and involves Bushra Qureshi, Maham Faiz, Mariam Imran, and Sheeza Shakeel. The algorithm aims to effectively schedule classes while addressing constraints like classroom availability, professor and student schedules, and course requirements. It will use genetic algorithm operators like initialization, selection, crossover and mutation to generate timetables that satisfy constraints and optimize resource allocation and scheduling. The resulting automated timetable generation process is expected to reduce time spent creating schedules and address issues like clashes in current manual systems.
This document outlines a final year project to design a UAV that can transform into a UGV for 3D mapping and image processing. It includes sections on the overview, block diagram, methodology, flow chart, Gantt chart, and conclusion. The objectives are to create a low-cost hybrid quadcopter that can fly autonomously using sensors and also navigate on the ground for applications like search and rescue, disaster response, and surveillance missions. It proposes using a rolling cage mechanism for the UAV to UGV transformation.
This document discusses using virtual reality exposure therapy with a Kinect motion sensor to treat phobias at medical rehabilitation centers in Pakistan. It proposes developing virtual reality environments that systematically expose patients to phobia triggers, such as heights for acrophobia therapy. Market research found interest from private hospitals to use the tool for treating anxiety disorders. The revenue model would involve subscription or software/hardware packages, and software maintenance costs. Key milestones achieved include designing interfaces for acrophobia therapy with increasing exposure levels and developing early environments for claustrophobia and spider phobia therapy.
Marketmizer is a software that will optimize Jovago Pakistan's marketing budget allocation across different online channels like SEM, social media, affiliates etc. based on the company's past marketing performance data. It will help address issues with Jovago's current manual budgeting approach by predicting future bookings and providing visualizations of marketing trends. The software will utilize machine learning algorithms and genetic algorithms to model marketing data, identify trends, validate predictions and suggest an optimal budget allocation to help Jovago achieve targets like reducing costs per booking while increasing revenues and lowering bounce rates.
CodeX is a big data analytics company that offers unique services to Fortune 500 customers through its microservices-based cloud platform. Pegasus is CodeX's big data ETL solution that handles structured, unstructured, and semi-structured data within the same distributed storage architecture using different databases for different data types. Pegasus also has built-in ETL capabilities, allows querying across databases via a central authority, and is optimized for open-source intelligence data through its integration with CodeX's big data solution.
This document summarizes an undergraduate final year project presentation on developing a laboratory workbench for partial discharge measurement of electrical equipment. A team of four electrical engineering students presented their work on designing and building equipment to detect partial discharges, which can indicate insulation issues in transformers and other high-voltage devices. They proposed using acoustic sensors to detect partial discharge signals and developed simulations, hardware, and plans for further study on applying their technique to other power equipment.
This document summarizes an undergraduate final year project presentation on induction motor drives for an electric car. A team of four electrical engineering students from the University of Engineering and Technology Lahore presented their work. They proposed designing a PWM inverter using IGBTs to power a three-phase induction motor for an electric car and implementing semi-autonomous control via Bluetooth. The team conducted simulations of various PWM techniques in MATLAB and designed inverter components. Their future work involves building a prototype and implementing mobile control of the car's motion and direction.
The document summarizes an undergraduate final year project presentation on developing a blind assistant robot. It introduces the student team members and their specializations. It states that the problem is to help the nearly 2 million blind people in Pakistan who currently rely on unreliable white canes. The proposed solution is a robot that uses mapping techniques to safely and reliably guide visually impaired individuals along a path. The presentation describes the robot's hardware including sensors to detect obstacles and buttons to select maps, and its ability to also control home appliances through voice commands to a GSM module. It outlines work done so far, future plans, and includes a Gantt chart and references.
A team of 4 electrical engineering students presented their smart shopping cart project. Their cart scans items as customers add them and allows payment at checkout to speed billing. It uses a Raspberry Pi, barcode scanner, touchscreen, and load cell. Features include manager controls, ads, search, and reports. They received positive feedback from local malls and linked carts to a central server. Future work includes improved GUI, anti-theft techniques, and a product prototype.
This document summarizes an undergraduate final year project presentation on a DC fault tolerant modular multilevel HVDC converter using switched capacitor submodules. A team of 4 electrical engineering students from the University of Engineering and Technology Lahore presented their work. Their proposed solution uses a modular multilevel converter with switched capacitor submodules to allow for DC to AC conversion with low total harmonic distortion and without needing expensive DC circuit breakers. So far the team has simulated the design in MATLAB and implemented a single phase, 3-level prototype on hardware. Their future work involves extending this to a 5-level design and making the converter tolerant of DC faults.
The document describes developing a multilayer coating of electroless nickel and electrolytic chromium/copper on an aluminum 7075 substrate. The coating is intended to improve adhesion, wear resistance, conductivity, and corrosion resistance while achieving a thickness of 10 microns. The coating process involves surface preparation including degreasing, activation, and zincating followed by electroless nickel deposition and electrolytic chromium plating. Characterization of coated and uncoated samples found that the coated sample had better corrosion resistance, hardness, and conductivity. Some issues with reproducibility were identified for further improvement.
This document describes a project to efficiently print electronic circuits using conductive silver nanoparticle ink on flexible substrates. The project aims to enable lower-cost and faster prototyping of circuits compared to traditional printed circuit board fabrication. Key steps involve synthesizing and capping silver nanoparticles, incorporating them into inkjet printer ink, printing test circuits, and sintering the printed nanoparticles to increase conductivity. Characterization techniques like microscopy, XRD and conductivity testing are used to analyze the printed circuits. The goal is to establish a new method for flexible printed electronics.
Securing BGP: Operational Strategies and Best Practices for Network Defenders...APNIC
Md. Zobair Khan,
Network Analyst and Technical Trainer at APNIC, presented 'Securing BGP: Operational Strategies and Best Practices for Network Defenders' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...APNIC
Adli Wahid, Senior Internet Security Specialist at APNIC, delivered a presentation titled 'Honeypots Unveiled: Proactive Defense Tactics for Cyber Security' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.