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Mariyam,Muhammad Shafiq,Muhammad Haseeb,Rana Muhammad Atif,Syed Agha Armaghan Asad Abbas Naqvi,Numan Ali,Muhammad Arshad Javed,Fizza Gillani,Muhammad Saleem Haider 한국원예학회 2021 Horticulture, Environment, and Biotechnology Vol.62 No.6
DNA binding with one fi nger (Dof) proteins are encoded by a ubiquitous plant-specifi c transcription factor gene family thatplays a critical role in various biological processes including fruit ripening and organogenesis. The wild olive ( Olea europaeavar. sylvestris v1.0 ) genome was used to identify Dof gene family members using a set of bioinformatics tools. Gene structure,chromosome locations, phylogeny, protein motifs, miRNA targets and tissue-specifi c expression patterns were analyzed. Here, we identifi ed 51 potential Dof genes unevenly distributed on all chromosomes and a few scaff olds. Dof proteins in oliveclustered into eight subgroups (D1, B2, C3, C2.2, C1, C2.1, B1, and A) based on the established Arabidopsis classifi cation. The prevalence of segmental duplication was observed as compared to tandem duplication, and this was the main factorunderlying the expansion of the Dof gene family in olive. Tissue-specifi c expression profi ling of Oeu Dof genes revealed thatthe majority of Oeu Dof genes were highly expressed in fl owers, stem and meristem tissues. In seed and meristem tissues,cis-regulatory element (CRE) analysis revealed the presence of elements that are specifi cally responsive to light, circadian,auxin, and ABA. In addition, a comparative analysis between Dof genes in olive and Arabidopsis revealed eight groups orsub-families, although the C3 group of Arabidopsis was not represented in olive. This extensive genome evaluation of theDof gene family in olive presents a reference for cloning and functional analysis of the members of this gene family.
Novel Secure Hybrid Image Steganography Technique Based on Pattern Matching
( Ali Hamza ),( Danish Shehzad ),( Muhammad Shahzad Sarfraz ),( Usman Habib ),( Numan Shafi ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.3
The secure communication of information is a major concern over the internet. The information must be protected before transmitting over a communication channel to avoid security violations. In this paper, a new hybrid method called compressed encrypted data embedding (CEDE) is proposed. In CEDE, the secret information is first compressed with Lempel Ziv Welch (LZW) compression algorithm. Then, the compressed secret information is encrypted using the Advanced Encryption Standard (AES) symmetric block cipher. In the last step, the encrypted information is embedded into an image of size 512 × 512 pixels by using image steganography. In the steganographic technique, the compressed and encrypted secret data bits are divided into pairs of two bits and pixels of the cover image are also arranged in four pairs. The four pairs of secret data are compared with the respective four pairs of each cover pixel which leads to sixteen possibilities of matching in between secret data pairs and pairs of cover pixels. The least significant bits (LSBs) of current and imminent pixels are modified according to the matching case number. The proposed technique provides double-folded security and the results show that stego image carries a high capacity of secret data with adequate peak signal to noise ratio (PSNR) and lower mean square error (MSE) when compared with existing methods in the literature.
Hybrid Indoor Position Estimation using K-NN and MinMax
( Fazli Subhan ),( Shakeel Ahmed ),( Sajjad Haider ),( Sajid Saleem ),( Asfandyar Khan ),( Salman Ahmed ),( Muhammad Numan ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.9
Due to the rapid advancement in smart phones, numerous new specifications are developed for variety of applications ranging from health monitoring to navigations and tracking. The word indoor navigation means location identification, however, where GPS signals are not available, accurate indoor localization is a challenging task due to variation in the received signals which directly affect distance estimation process. This paper proposes a hybrid approach which integrates fingerprinting based K-Nearest Neighbors (K-NN) and lateration based MinMax position estimation technique. The novel idea behind this hybrid approach is to use Euclidian distance formulation for distance estimates instead of indoor radio channel modeling which is used to convert the received signal to distance estimates. Due to unpredictable behavior of the received signal, modeling indoor environment for distance estimates is a challenging task which ultimately results in distance estimation error and hence affects position estimation process. Our proposed idea is indoor position estimation technique using Bluetooth enabled smart phones which is independent of the radio channels. Experimental results conclude that, our proposed hybrid approach performs better in terms of mean error compared to Trilateration, MinMax, K-NN, and existing Hybrid approach.
An improved co-training approach for document Sentiment classification
Jawad Khan(자와드 칸),Aftab Alam(아프타 발람),Muhammad Numan Khan(무함마드 누만 칸),Irfan Ullah(이르판 울라),Muhammad Umair(무하마드 우매르),Umair Qudus(구두스 우매르),Tariq Habib Afridi(타리크 하비브 아프리디),Sung Soo Park(박성수),Young-Koo Lee( 한국정보과학회 2020 한국정보과학회 학술발표논문집 Vol.2020 No.7