Robust Face Recognition under Limited Training Sample Scenario using Linear Representation

( Omer Iqbal ),( Waqas Jadoon ),( Zia Ur Rehman ),( Fiaz Gul Khan ),( Babar Nazir ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.7

Recently, several studies have shown that linear representation based approaches are very effective and efficient for image classification. One of these linear-representation-based approaches is the Collaborative representation (CR) method. The existing algorithms based on CR have two major problems that degrade their classification performance. First problem arises due to the limited number of available training samples. The large variations, caused by illumintion and expression changes, among query and training samples leads to poor classification performance. Second problem occurs when an image is partially noised (contiguous occlusion), as some part of the given image become corrupt the classification performance also degrades. We aim to extend the collaborative representation framework under limited training samples face recognition problem. Our proposed solution will generate virtual samples and intra-class variations from training data to model the variations effectively between query and training samples. For robust classification, the image patches have been utilized to compute representation to address partial occlusion as it leads to more accurate classification results. The proposed method computes representation based on local regions in the images as opposed to CR, which computes representation based on global solution involving entire images. Furthermore, the proposed solution also integrates the locality structure into CR, using Euclidian distance between the query and training samples. Intuitively, if the query sample can be represented by selecting its nearest neighbours, lie on a same linear subspace then the resulting representation will be more discriminate and accurately classify the query sample. Hence our proposed framework model the limited sample face recognition problem into sufficient training samples problem using virtual samples and intra-class variations, generated from training samples that will result in improved classification accuracy as evident from experimental results. Moreover, it compute representation based on local image patches for robust classification and is expected to greatly increase the classification performance for face recognition task.

Properties, assembly and characterization of carbon nanotubes: their application in water purification, environmental pollution control and biomedicines—a comprehensive review

Asghar Faiza,Murtaza Babar,Shakoor Bushra,Iqbal Nabtahil,Shafique Maria,Murtaza Rafia,Butler Ian Sydney 한국탄소학회 2023 Carbon Letters Vol.33 No.2

Owing to their simplicity and ease of synthesis, carbon nanotubes (CNTs) have captivated attention of researchers. Many engineering applications have investigated the new features of nanostructured carbon nanotubes, such as large surface area, stiffness and durability. CNTs have opened up new opportunities for environmental improvement, pollution management and application in a variety of fields. Multiple types of pollution are produced as a result of population growth, urbanization and industrialization. CNTs are used to solve a variety of challenges, including environmental difficulties, water pollution, biomedical applications, and so on. It becomes an unavoidable present and future material. Different applications of CNTs have been presented in this review paper. CNTs are potential material having number of uses, including water purification, drug delivery, preservatives, catalysis, genetic engineering and artificial implants which are reviewed in this review article. This paper is presenting an explicit and systematic progress of CNTs for water treatment, medicinal uses drug delivery, artificial implants and so on, and a multitude of CNT applications in broad disciplines and their purification methods have been covered. The issues related to synthesis technologies, purification technology, bio-medicinal application and catalytic property of CNTs within the framework of different engineering applications and environmental impact are discussed in this study.

A review on impacts of soil microplastics on crops

Xin Zhao(조흠),Babar Iqbal,Guanlin Li 대한환경공학회 2022 대한환경공학회 학술발표논문집 Vol.2022 No.11

Evaluation of Tinda Gourd (Praecitrullus fistulosu) Germplasm's Yield

RAHEEL, Asfand,KHAN, Nasir Ahmad,BABAR, Raheel,ULLAH, Muhammad Arshad,ZAFFAR, Ali,IQBAL, Maouz,ASHRAF, Usman Korea FoodHealth Convergence Association 2019 식품보건융합연구 (KJFHC) Vol.5 No.3

The field experiment was conducted in vegetable area, Institute of Horticultural Sciences in University of Agriculture, Faisalabad in order to recognize morphological and fruit growth pattern and yield of Tinda (Praecitrullus fistulosus) gourd germplasm lines. Sixteen germplasm lines in which one line is used as check are included were sown and grown on flat beds in field. The field experiment was arranged as randomized complete block design (RCBD) with three replications. Data on days to maturity, fruit per vine, fruit weight in grams, fruit diameter and total yield obtained were recorded. The fruit texture is marked as phenotype parameter. All parameters were collected and then analyzed statistically. All lines and replications showed different results among each other according to parameter. The maximum DTM (days to maturity), F/P (fruit per plant), FW (fruit weight), FD (fruit diameter) and Yield were recorded was $L_0$ (68.66), $L_3$ (1.66), $L_{10}$ (248.33), $L_{13}$ (8.50) and $L_0$ (599.33) and the minimum were recorded was $L_1$ (56), $L_{11}$ (0.33), $L_0$ (198), $L_9$ (7) and $L_4$ (421) grams respectively. All lines showed smooth texture of fruits with no hairs when mature at harvesting stage.

Female Body Shape Classifications and Their Significant Impact on Fabric Utilization

T. Naveed,Y. Zhong,A. Hussain,A. A. Babar,A. Naeem,A. Iqbal,S. Saleemi 한국섬유공학회 2018 Fibers and polymers Vol.19 No.12

In apparel manufacturing, more than 50 % cost is consumed by the textile fabric. Therefore companies have significant apprehensions in the fabric utilization. It can result in more efficient and cost-effective in fabric utilization if they are related to different body shapes. The purpose of this study is to classify female body shapes and evaluate fabric utilization efficiency for each category of the body shape. To this end, three dimensional (3D) body scans are collected from 124 young female subjects. For the body shape analysis, 3D body scans are processed by using Moore neighbor algorithm and region prop function to perceive the outermost shell. Moreover, both front and side view of the scans is processed for data reduction using Principle Component Analysis (PCA) and clustering using K-Means ++. It has been observed through our analysis of a dataset that female bodies can be categorized into four body shapes, that is, oval shape, circle shape, triangle shape, and rectangle shape. It has also been observed that all four body shape categories exhibit dissimilar anthropometric size measures. The result implies that these body shapes have devoured different fabric utilization for the garments (fitted trouser and fitted shirt). It has been noted that in fitted trouser and fitted shirt the most effective is the rectangle shape (cluster 4) and the least is the circle shape (cluster 2) in the fabric consumption. Similarly, the fitted trousers utilize less fabric while the fitted shirts consume more fabric in all body shapes. These findings provide a better reference of fabric utilization and cost-effectiveness to the apparel manufacturers while producing garments for different categories of the body shape.

Chosen trauma and saffronization of India

Ahmed Raja Qaiser,Tamoor Maryum,Saleem Muhammad Waqas,Iqbal Babar Summar 한국외국어대학교 국제지역연구센터 2022 International Area Studies Review Vol.25 No.1

The research undertakes the structural transformation of India by the ideology of Hindutva embodied by the contemporary government of the Bhartiya Janata Party. This study is a first of its kind as it attempts to decipher the genesis of this metamorphosis from a psychoanalytical perspective. India has been accredited as a stalwart of democracy and an uploader of an inclusive multicultural and multireligious society. The interplay of Hindu nationalist elements and reinvigoration of past experiences supplemented by historical myths and present ontological insecurities has consequently plagued the secular fabric of India. The study further explicates all the undercurrents and nuances that underscore the ideology of Hindutva, the proselytized culture of victimization and indigenization in society resultantly impacting the society and relations of state in the region.