Browsing by Author "Osama Arshad"

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    Face aging with deep learning
    (UMT.Lahore, 2019) Osama Arshad; Sharaz Haider
    Facial identity is primary method for identification of a human, facial feature of humans tends to change with aging. Predicting Facial changes with age progression (Face aging) is a challenging task. Recognizing face aging can be serve in various field including security, entertainment and cross age verification. A large number of missing children were found after long period of time, and were not been able to identified, also to identify criminal after the passage of time and it could be use in entertainment also. Currently face aging is done by using morphological techniques for example Face anthropometry and by using craniofacial growth model which usually results in generating fake images. Recent research showed that GAN (Generative Adversarial Network) produces the images with highly visual fidelity and have achieved great success. GAN based methodology provide automatic aging of faces. The deep generative networks have exhibited a remarkable capability in image generation. An approach for Identity-Preserving and GAN’s Latent vector optimization to generate more realistic images is introduced in this research. The dataset used for this research is MORPH and CACD to train our model of GAN as it requires a lot of data to learn. Moreover, an adversarial learning technique is presented to simultaneously train a generator and parallel discriminators, resulting in smooth continuous face aging sequences. The evaluation of objective of proposed method demonstrate the following results proposed framework produced more realistic results by comparing the state-of-art and ground truth.
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    Product development of M-Cycle evaporative cooler based on counter cross flow heat exchanger
    (UMT Lahore, 2021-08) Muhammad Umair; Osama Arshad; Abdul Hanan Ashraf
    Cooling the atmospheric air through evaporative cooling to achieve comfortable thermal conditions is the cheapest and most widely applied method of cooling the air. In this study, an exhaustive investigation about the indirect evaporative cooling (IEC) has been carried out. Background, introduction, design and simulation of the M-Cycle based evaporative coolers has been accomplished and studied in detail. Indirect evaporative coolers have the potential to be the future of air conditioning world because they can provide comfortable cooled air in extremely low cost. The design of the cross-flow heat exchanger is fabricated for simulation and justification of the results comprising of 6 wet and 5 dry channels. Aluminum is used in fashioning the Heat and mass exchanger (HMX) to attain better heat transfer rates. Wick material is pasted on the walls to help the water evaporates. Water is used to cool the air, a temperature difference of 6℃ is achieved at the inlet temperature of 35℃. Temperature difference is higher when the inlet air has a higher temperature. A difference of 12-15℃ is achieved at 45℃ inlet temperature. A constant humidity is achieved in the design. A parametric study is performed on Ansys to validate the results.