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Muhammad Ijaz Ahmad,Muhammad Umair Ijaz,Ijaz ul Haq,Chunbao Li 한국축산식품학회 2020 한국축산식품학회지 Vol.40 No.1
Various processing methods have a great impact on the physiochemical and nutritional properties of meat that are of health concern. Hence, the postmortem processing of meat by different methods is likely to intensify the potential effects on protein oxidation. The influence of meat protein oxidation on the modulation of the systemic redox status and underlying mechanism is well known. However, the effects of processed meat proteins isolated from different sources on gut microbiota, oxidative stress biomarkers, and metabolomic markers associated with metabolic syndromes are of growing interest. The application of advanced methodological approaches based on OMICS, and mass spectrometric technologies has enabled to better understand the molecular basis of the effect of processed meat oxidation on human health and the aging process. Animal studies indicate the involvement of dietary proteins isolated from different sources on health disorders, which emphasizes the impact of processed meat protein on the richness of bacterial taxa such as (Mucispirillum, Oscillibacter), accompanied by increased expression of lipogenic genes. This review explores the most recent evidences on meat processing techniques, meat protein oxidation, underlying mechanisms, and their potential effects on nutritional value, gut microbiota composition and possible implications on human health.
Ijaz Ali,Mohsin Muhyuddin,MULLANI NAVAJ BAPUSO,Dae Woong Kim,Dae Hyun Kim,Muhammad Abdul Basit,Tae Joo Park 한국물리학회 2020 Current Applied Physics Vol.20 No.3
One of the efficient strategies to enhance light harvesting capability of metal oxides nanoparticles (NPs) is to deposit low band gap metal sulfides on them via pseudo-successive ionic layer adsorption and reaction (p- SILAR). Resultant oxide-sulfide nanocomposites have a variety of applications, however there is still a need to increase the deposition of metal sulfide in the form of quantum-dots (QDs). In this work, we have successfully enhanced the deposition of QDs on TiO2 NPs using a modernized H2S-treatment strategy. A rotary reactor was employed for H2S-treatment of TiO2 NPs, ensuing higher deposition of PbS (in TiO2–PbS) and CdS (in TiO2–CdS) via p-SILAR. Resultantly, dye degradation of Rhodamine B increased from 63% to 75% and 72%–84%, respectively. X-ray photoelectron spectroscopy revealed the efficacy of modernized H2S-treatment while intensive electrochemical characterization affirmed reduction in charge carrier transfer resistances due to superior deposition of PbS and CdS QDs on TiO2 NPs
Quantitative Assessment of the Impact of Lossy JPEG Compression on Deep Learning Models
Ijaz Ahmad,Seokjoo Shin 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
Lossy image compression provides an efficient solution to the exchange and storage of image data for consumer applications. The design of lossy algorithms is based on a principle to discard information that are not perceivable by human visual system (HVS). With the popularity of deep learning models (DL) in computer vision (CV), it is necessary to characterize the loss in image quality with respect to computer vision systems as well. Recent studies have analyzed the image distortions resulted from blur and noise, mainly from an adversarial attack perspective. However, fewer studies have dealt with the lossy nature of the JPEG algorithm. Therefore, the current study presents a quantitative assessment of different types of data loss that occurs due to chroma subsampling, quantization, and rounding functions of the JPEG algorithm. In addition, we have analyzed impact of different interpolation methods that are used for chroma upsampling. The analysis have shown that for compression savings, performing either subsampling or quantization preserved the model accuracy while their combination degraded the accuracy by 6%.
향상된 색상 구성요소 스크램블링을 사용한 블록 기반 지각 암호화 알고리즘
Ijaz Ahmad,Seokjoo Shin 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.05
Perceptual encryption (PE) is becoming popular for protecting image data as they are computationally inexpensive and retain certain image properties that are necessary for compression. PE methods not only provide security during transmission of image data but can also enable privacy-preserving computations on them. However, the presence of color information in the cipher image makes the existing PE algorithms vulnerable to jigsaw puzzle attacks. Therefore, this paper presents an extension of block-based PE methods that utilizes different keys for each color component when changing orientation of a block and pixel values in a block. Thus, offers better encryption performance as the color distribution of the original is changed significantly and the keyspace is expanded. The analysis on Tecnick dataset shows that the proposed PE method preserves compression performance of the existing methods while improving their encryption efficiency. In addition, the main advantage of the proposed method is that of being compatible with a widely used JPEG image standard, which makes it suitable for different outsourced multimedia applications such as, privacy-preserving deep learning, cloud-based photo storage, and social networking services.
Optimal Resolution Selection to Run Pre-Trained Deep Learning Models on Tiny Images
Ijaz Ahmad,Seokjoo Shin 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.05
The performance of a deep learning model significantly improves on challenging datasets when using transfer learning. However, the pre-trained networks have certain constraints in terms of their architecture. For example, the available pre-trained models are trained for a specific input size. Therefore, require resizing the input images of different sizes. When training a model from scratch, higher resolution image offers better performance. However, our study has shown that this is not true when using pre-trained models. We have compared the pre-trained MobileNetV2 performance on CIFAR10 and CIFAR100 datasets. The pre-trained weights of MobileNetV2 are available for image resolutions of 92x92, 128x128, 160x160, 192x192 and 224x224. The performance of the model is evaluated in terms of classification accuracy. Our analysis have shown that for image resolution of 160x160, the pre-trained model has achieved better classification accuracy.
Ijaz, Salman,Hamayun, Mirza Tariq,Yan, Lin,Mumtaz, Muhammad Faisal The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.6
This paper presents an application of fractional order controller for the control of multi input multi output twin rotor aerodynamic system. Dynamics of the considered system are highly nonlinear and there exists a significant cross-coupling between the horizontal and vertical axes (pitch & yaw). In this paper, a fractional order model of twin rotor aerodynamic system is identified using input output data from nonlinear system. Based upon identified fractional order model, a fractional order PID controller is designed to control the angular position of level bar of twin rotor aerodynamic system. The parameters of controller are tuned using Nelder-Mead optimization and compared with particle swarm optimization techniques. Simulation results on the nonlinear model show a significant improvement in the performance of fractional order PID controller as compared to a classical PID controller.
Kinematic Models for Non-stationary Elliptic Region Boundaries in Electrical Impedance Tomography
Ijaz, Umer Zeeshan,Kim, Kyung-Youn 제주대학교 공과대학 첨단기술연구소 2006 尖端技術硏究所論文集 Vol.17 No.2
In this study, we propose kinematic models for dynamic electrical impedance tomography (EIT) shape estimation of regions of known resistivities based on extended Kalman filter(EKF). The EIT inverse problem is formulated as a state estimation problem in which the system is modeled with the state equation and the observation equation. We are especially interested in the estimation of shape of air bubbles and conductive liquid in the industrial process pipelines. The proposed kinematic models are tested with computer simulations. From the simulations, we achieve a promising performance of this approach.