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Ayed Ahmad Hamdan Al-Radaideh,Mohd Shafry bin Mohd Rahim,Wad Ghaban,Majdi Bsoul,Shahid Kamal,Naveed Abbas 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.7
Innovation and rapid increased functionality in user friendly smartphones has encouraged shutterbugs to have picturesque image macros while in work environment or during travel. Formal signboards are placed with marketing objectives and are enriched with text for attracting people. Extracting and recognition of the text from natural images is an emerging research issue and needs consideration. When compared to conventional optical character recognition (OCR), the complex background, implicit noise, lighting, and orientation of these scenic text photos make this problem more difficult. Arabic language text scene extraction and recognition adds a number of complications and difficulties. The method described in this paper uses a two-phase methodology to extract Arabic text and word boundaries awareness from scenic images with varying text orientations. The first stage uses a convolution auto-encoder, and the second uses Arabic Character Segmentation (ACS), which is followed by traditional two-layer neural networks for recognition. This study presents the way that how can an Arabic training and synthetic dataset be created for exemplify the superimposed text in different scene images. For this purpose a dataset of size 10K of cropped images has been created in the detection phase wherein Arabic text was found and 127k Arabic character dataset for the recognition phase. The phase-1 labels were generated from an Arabic corpus of quotes and sentences, which consists of 15kquotes and sentences. This study ensures that Arabic Word Awareness Region Detection (AWARD) approach with high flexibility in identifying complex Arabic text scene images, such as texts that are arbitrarily oriented, curved, or deformed, is used to detect these texts. Our research after experimentations shows that the system has a 91.8% word segmentation accuracy and a 94.2% character recognition accuracy. We believe in the future that the researchers will excel in the field of image processing while treating text images to improve or reduce noise by processing scene images in any language by enhancing the functionality of VGG-16 based model using Neural Networks.
Ayed A. Dera,Prasanna Rajagopalan,Majed Al Fayi,Irfan Ahmed,Harish C. Chandramoorthy 대한약학회 2020 Archives of Pharmacal Research Vol.43 No.6
In this study, we report the combination ofindirubin-3-monoxime (I3M) and thymoquinone (Tq) tohave excellent therapeutic effi cacy in models of Lung cancer(LC). Preliminary screening was done with A549 cells. Cellcycle, apoptosis and NFκB phosphorylation were determinedby fl ow cytometry, while apoptotic proteins, Akt and mTORwere assessed by western blotting. Mouse xenograft modelwas used to assess the therapeutic effi cacy in-vivo . Synergisticreduction in cell viability was observed with I3M + Tqcombinations, which were non-toxic to normal HFL-1 cells. Cell cycle analysis indicated G 1 phase reduction with subsequentaccumulation of sub G 0 contents. Annexin V assayrevealed higher apoptotic cells with combinations comparedto individual treatments with a decrease in Bcl-2/Bax ratio. The combinations exhibited anti-metastasis activity in cellmigration in the scratch, scatter and tumour cell migration assays and eff ectively reduced the tumour growth in mouse xenograft model. Expression levels of p-AKT, p-mTOR,Caspase-3, p-53 and NFκB were signifi cantly reduced inthe combination treated mice compared to individual treatments. Results of current study demonstrate clear effi cacy ofI3M + Tq combinations in LC models mediated by suppressingAkt/mTOR/NFκB signalling. Further research is recommendedto transform these fi ndings into novel therapeuticcombinations against LC.
Smart Recognition COVID-19 System to Predict Suspicious Persons Based on Face Features
Ben Ayed Mossaad,Massaoudi Ayman,Alshaya Shaya A. 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.3
The coronavirus (COVID-19) is identifi ed at fi rst in Wuhan in December 2019. The apparition of the COVID-19 virus is widely spread to concern all countries worldwide. The World Health Organization (WHO) on March 11 declare COVID-19 a pandemic. This Virus causes a serious infection of the respiratory system. Its high transmission constitutes great problems and challenges. The WHO proposes many actions to limit the spread of the virus such as quarantine and decrease or halt fl ights between states. The actions taken by states in airports are to detect suspicious persons with COVID-19. We aimed to provide a Computer-Aided Diagnosis (CAD) framework to predict suspicious COVID-19 person. This prediction identifi es suspicious persons who suff er from shortness breath which is the main symptom of this disease. Extract shortness breath anomaly through the estimated heart rate from face based-video is the main contribution of the present paper. We developed a Smart Recognition COVID-19 (SRC) system to estimate the breath score. In conclusion, our study achieves an accurate breath score. The error is about 1 breath per minute. The proposed solution is of great importance because it helps managers in the airport to predict suspicious COVID-19 passengers.
Potential Use of Probiotic Consortium Isolated from Kefir for Textile Azo Dye Decolorization
( Lamia Ayed ),( Tarek Zmantar ),( Sihem Bayar ),( Abdelkrim Charef ),( Sami Achour ),( Hedi Ben Mansour ),( Ridha El Mzoughi ) 한국미생물생명공학회(구 한국산업미생물학회) 2019 Journal of microbiology and biotechnology Vol.29 No.10
Azo dyes are recalcitrant pollutants, which are toxic, carcinogenic, mutagenic and teratogenic, that constitute a significant burden to the environment. The decolorization and the mineralization efficiency of Remazol Brillant Orange 3R (RBO 3R) was studied using a probiotic consortium (Lactobacillus acidophilus and Lactobacillus plantarum). Biodegradation of RBO 3R (750 ppm) was investigated under shaking condition in Mineral Salt Medium (MSM) solution at pH 11.5 and temperature 25oC. The bio-decolorization process was further confirmed by FTIR and UV-Vis analysis. Under optimal conditions, the bacterial consortium was able to decolorize the dye completely (>99%) within 12 h. The color removal was 99.37% at 750 ppm. Muliplex PCR technique was used to detect the Lactobacillus genes. Using phytotoxicity, cytotoxicity, mutagenicity and biototoxicity endpoints, toxicological studies of RBO 3R before and after biodegradation were examined. A toxicity assay signaled that biodegradation led to detoxification of RBO 3R dye.
( Hela Ben Amor Ben Ayed ),( Behnam Taidi ),( Habib Ayadi ),( Dominique Pareau ),( Moncef Stambouli ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.3
The accumulation (internal and superficial distribution) of magnesium ions (Mg(2+)) by the green freshwater microalga Chlorella vulgaris (C. vulgaris) was investigated under autotrophic culture in a stirred photobioreactor. The concentrations of the three forms of Mg(2+) (dissolved, extracellular, and intracellular) were determined with atomic absorption spectroscopy during the course of C. vulgaris growth. The proportions of adsorbed (extracellular) and absorbed (intracellular) Mg(2+) were quantified. The concentration of the most important pigment in algal cells, chlorophyll a, increased over time in proportion to the increase in the biomass concentration, indicating a constant chlorophyll/biomass ratio during the linear growth phase. The mean-average rate of Mg(2+) uptake by C. vulgaris grown in a culture medium starting with 16 mg/l of Mg(2+) concentration was measured. A clear relationship between the biomass concentration and the proportion of the Mg(2+) removal from the medium was observed. Of the total Mg(2+) present in the culture medium, 18% was adsorbed on the cell wall and 51% was absorbed by the biomass by the end of the experiment (765 h). Overall, 69% of the initial Mg(2+) were found to be removed from the medium. This study supported the kinetic model based on a reversible first-order reaction for Mg(2+) bioaccumulation in C. vulgaris, which was consistent with the experimental data.
Structural Mapping of the C-terminal Domain of Human P73
지성욱,Ayeda Ayed,Petrer Yin,Cheryl Arrowsmith 한국자기공명학회 1998 Journal of the Korean Magnetic Resonance Society Vol.2 No.2
Human P37 is a recently-discovered homologue of the yumor suppressor P73. The location of its gene in chromosome 1 is deleted in many cancers, including colon and breast cancers, melanoma and neuroblastoma. 1 Its gene encodes two splice-variants, P73 - α and β, both exhibiting high sequence and structural similarity to P53, with an N - terminal transactivation domain, a central DNA-binding domain, and an oligomerization domain. 1 However P73 - α contains 136 extra residues in its C - terminus compared to the β variant, and 213 additional residues when compared to P53. since this domain is not present in P53 or the P73β variant, it may be important in defining a unique function for P73, or may function in modulating P53 - like functions of P73 through alternative oligomerization arrangements or interactions. Toward understanding the functional and/or structural role of this C - domain of P73α, we have begun NMR spectroscopic studies of several construct of the C - terminus, chosen using sequence alignments with two other proteins which also exhibit an extended C - terminus: rat KET protein, 2 and squid(Loligo forbesi) P53. 1,2 We report here the NMR characterization of several constructs of C – terminus of P73 and the identification of a small folded globular domain formed by residues 487 – 554. 영어논문
Co‑simulation Improvement for Uncertain Flexible Robot Arm
Lilia Zouari,Mossaad Ben Ayed,Slim Chtourou,Shaya Abdullah Alshaya,Mohamed Abid 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.1
Flexible robot arm driven by Brushless DC Motor (BDCM) under uncertainties represents one of the most complex and heterogeneous system. Indeed, the verifcation phase becomes a great challenge for designers. Avoid and predict risks accurately at earlier stage represents the main purpose of the Computer-Aided Design (CAD) feld. This paper treats the case of robotics system for tracking trajectory problem and attempts to improve the verifcation phase by identifying the most suitable co-simulation technique. For the system analyzed in this paper, the fexible robot arm driven by Brushless DC actuator is verifed using the Model In the Loop (MIL) technique, the Software In the Loop (SIL) technique and CODIS+technique. Each one verifes the system according to a particular abstraction level. The performance of each technique is determined by measuring the accuracy and time simulation. Experimental results have revealed that CODIS+is the most adequate technique for fexible robot arm, outperforming MIL and SIL by 4–5 times.