Browsing by Author "Saifullah"

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    Protection of three phase induction motor
    (University of Management and Technology, 2013-07) Adeel Qaisar; Saifullah; Afzal Hussain
    Over last 50 years ago, a revolution has occurred in the field of power electronics and microcontroller that provides solution to all the problems related to power control and logical control. Due to this revolution it becomes very easy to protect the motor from We use step down transformer which step down 220V AC to 12V AC. These 12V are rectified by using bridge rectifier .this rectifier gives pulsating dc output which we convert into pure dc by using capacitors .this pure 12V DC is converted into 5V DC by using regulator as controller operate on dc .we use three voltage transformers which take 220V input from three phases individually and convert them into 12V. These 12V are rectified by using bridge rectifier. The pulsating Output of bridge is purified by 100uf capacitor to pure DC and applied to variable resistance which send variable Input to microcontroller then controller gives signal to relay.
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    A publicly available rgb-d data set of Muslim prayer postures recorded using microsoft kinect for windows
    (Journal of Basic and Applied Scientific Research, 2014) Bilal Hassan; Usman Akram; Saifullah; Mudassar Naseer; Faizan Ali; Shoaib Akhter; Muhammad Ajmal
    In computer vision applications, availability of dataset for the training and testing of any newly developed system is always a key requirement. Most of the time, people use dataset built by other researchers. In case of unavailability of particular type of dataset, they built the dataset by their own. The datasets for the evaluation of computer vision systems could be of various types. These could be of thumb impressions, retinal scans or images of human activities/postures. The prayer performed by Muslim community also comprises of activities/postures which are the subset of the activities performed by an individual. In order to train and test the human activity recognition system on prayer activities/postures, the availability of prayer dataset is much needed. To the best of our knowledge, no such dataset is available in this area. In order to fulfill this requirement, we have recorded a dataset of prayer postures for an individual in a closed environment. The dataset comprises of RGB, Depth and skeleton frames of an individual from different pose and varying distance. We have recorded this dataset by using Microsoft Kinect for Windows sensor. We have captured more than 1700 RGB, Depth and skeleton frames of different actions comprises of positive and negative examples. We have labeled data and provided in various file formats like .xls, .mat and .arff. We are hopeful that the dataset developed by us will not only enforce the research community working on Human activity/posture recognition to test their system on this particular type of dataset but also to add more to the dataset. It will also help provide them understanding that how to record their own dataset using Kinect if need arises. Apart from that, this wills also a publicly available bench mark in this particular domain.