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AC Breakdown Voltage and Viscosity of Palm Fatty Acid Ester (PFAE) Oil-based Nanofluids
Mohd Safwan Mohamad,Hidayat Zainuddin,Sharin Ab Ghani,Imran Sutan Chairul 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.6
Mineral oils are commonly used as transformer insulation oils but these oils are obtained from non-renewable and non-sustainable sources, which is highly undesirable. For this reason, natural ester oils are now being used in replacement of mineral oils because of their good biodegradability, high cooling stability, good oxidation stability and excellent insulation performance. Nanotechnology has gained prominence in both academic and industrial fields over the years and it has been shown in previous studies that nanoscale materials are useful for transformers due to their favourable dielectric properties. The objective of this study is to compare the AC breakdown voltage and viscosity of natural ester oil with three types of nanofluids. The natural ester oil-based nanofluids are prepared by mixing palm fatty acid ester (PFAE) oil with three types of nanoparticles at a concentration of 0.01 g/l: (1) Fe₃O₄ conductive nanoparticles, (2) TiO₂ semi-conductive nanoparticles and (3) Al₂O₃ insulating nanoparticles. The AC breakdown voltage of the oil samples is analysed using Weibull statistical analysis and the results reveal that the PFAE oil-based Fe₃O₄ nanofluid gives exceptional dielectric performance compared to other oil samples, whereby the AC breakdown voltage increases by 43%. It can be concluded that the PFAE oil-based Fe₃O₄ nanofluid is a promising dielectric liquid to substitute mineral oils.
S.A. Safwan,Assma Saleh,Hekmat M. Hassanein,Nagwa El Meshed 한국물리학회 2018 Current Applied Physics Vol.18 No.1
The hydrostatic pressure (P) influence of the degenerate energy states inside an inverse parabolic quantum dot (IPQD), with and without an external magnetic field, was performed within the frame of the effective mass approximation. Our theoretical results showed that the effect of relatively high pressure clearly appeared to induce a crossing between the excited states in the strong confinement region. But in the weak confinement region, such crossing disappeared and, in addition, the excited states got reordered. In the presence of an external magnetic field the hydrostatic pressure modified the crossing points of the degenerate states. We investigated the electron-heavy hole transition energy. It displayed a blue shift with increasing the pressure values and the magnetic field strength. But it showed an adhesive red shift by increasing the IPQD size.
AC Breakdown Voltage and Viscosity of Palm Fatty Acid Ester (PFAE) Oil-based Nanofluids
Mohamad, Mohd Safwan,Zainuddin, Hidayat,Ab Ghani, Sharin,Chairul, Imran Sutan The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.6
Mineral oils are commonly used as transformer insulation oils but these oils are obtained from non-renewable and non-sustainable sources, which is highly undesirable. For this reason, natural ester oils are now being used in replacement of mineral oils because of their good biodegradability, high cooling stability, good oxidation stability and excellent insulation performance. Nanotechnology has gained prominence in both academic and industrial fields over the years and it has been shown in previous studies that nanoscale materials are useful for transformers due to their favourable dielectric properties. The objective of this study is to compare the AC breakdown voltage and viscosity of natural ester oil with three types of nanofluids. The natural ester oil-based nanofluids are prepared by mixing palm fatty acid ester (PFAE) oil with three types of nanoparticles at a concentration of 0.01 g/l: (1) $Fe_3O_4$ conductive nanoparticles, (2) $TiO_2$ semi-conductive nanoparticles and (3) $Al_2O_3$ insulating nanoparticles. The AC breakdown voltage of the oil samples is analysed using Weibull statistical analysis and the results reveal that the PFAE oil-based $Fe_3O_4$ nanofluid gives exceptional dielectric performance compared to other oil samples, whereby the AC breakdown voltage increases by 43%. It can be concluded that the PFAE oil-based $Fe_3O_4$ nanofluid is a promising dielectric liquid to substitute mineral oils.
Aziz Muhammad Safwan,Islam Shumaila,Rosli Muhammad Izz,Basar Norazah,Krishnan Ganesan,Duralim Maisarah,Harun Sulaiman Wadi 한국물리학회 2022 Current Applied Physics Vol.39 No.-
Nonlinear optical properties of Coumarin-based compounds i.e., 3-acetyl-7-iethylaminocoumarin (C3) and 7-Ethylamino-4-trifluoromethylcoumarin (C500) is reported by Z-scan technique (Nd: YAG Continuous-wave 532 nm). The conventional C500 compound exhibited NLR properties in the order of n2 = 10–9, whereas the synthesized C3 compound manifested both NLR and NLA properties around n2 = 10–9 and β = 10–4, respectively. The results are obtained from different laser power PC500 = 0.10–0.18 W, while PC3 = 0.20–0.28 W. Both compounds provided excellent NLO attributes at consistent and stable outputs of open and closed-aperture signals, resulted in eminence of NLR and NLA values. The C3 compound is manifested reverse saturable absorption, optical limiting properties, and threshold at 0.3814 W. The exclusivity of NLR in C500 makes it suitable to develop as an optical switcher while synthesized C3 compound is more suitable as an optical limiter for safety.
Smart Vehicle Parking Management System using Image Processing
Waqas, Maria,Iftikhar, Umar,Safwan, Muhammad,Abidin, Zain Ul,Saud, Ahmed International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.8
The term parking management system usually refers to the custom built hardware intensive systems installed in building and malls. However, there are many places where such expensive solutions cannot be installed due to various reasons, like cost and urgent/temporary setup requirements. This project focuses on developing a parking management system based on image processing to detect vacant parking slot in an area where automated systems are not installed. Camera images of the parking area are subjected to image processing algorithm which marks virtual slots in the area and extracts occupancy information to guide the incoming drivers about availability and position of vacant spaces. The application consists of two interfaces: one for the guidance of the incoming drivers and the other one for the administrator. The later interface also informs the administrator if a car is not parked properly in the virtual slot. This parking system would reduce the stress and time wastage associated with car parking and would make the management of such areas less costly.
M.A. Hasnat,Jamil A. Safwan,M. Shariful Islam,Zidnia Rahman,Mohammad Razaul Karim,Talha J. Pirzada,Ahmed Jalal Samed,Mohammed M. Rahman 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
Electrochemical decolorization of Methylene blue (MB) molecules was studied at Pt electrode inpresence of KNO3 and KCl as the supporting electrolytes under acidic condition. The KNO3 electrolytedisplayed MB decolorization effect, where MB molecules exhibited two redox peaks at 0.48 V and0.34 V, respectively, in cyclic voltammogram (CV). The features of redox couples indicated thedimerization ofMBmolecules. In this simple preparation technique, a less amount of sample loading wasrequired, and the method displayed high efficiency toward decolorization of MB dye. This reportindicates the possibility for improving the quality of wastewater discharged from textile and otherindustries.
Harakeh, Steve,Diab-Assaf, Mona,Azar, Rania,Hassan, Hani Mutlak Abdulla,Tayeb, Safwan,Abou-El-Ardat, Khalil,Damanhouri, Ghazi Abdullah,Qadri, Ishtiaq,Abuzenadah, Adel,Chaudhary, Adeel,Kumosani, Taha,N Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.3
Epigallocatechin-3-gallate (EGCG) is the most abundant polyphenol molecule from green tea and is known to exhibit antioxidative as well as tumor suppressing activity. In order to examine EGCG tumor invasion and suppressing activity against adult T-cell leukemia (ATL), two HTLV-1 positive leukemia cells (HuT-102 and C91-PL) were treated with non-cytotoxic concentrations of EGCG for 2 and 4 days. Proliferation was significantly inhibited by 100 ${\mu}M$ at 4 days, with low cell lysis or cytotoxicity. HTLV-1 oncoprotein (Tax) expression in HuT-102 and C91-PL cells was inhibited by 25 ${\mu}M$ and 125 ${\mu}M$ respectively. The same concentrations of EGCG inhibited NF-kB nuclearization and stimulation of matrix metalloproteinase-9 (MMP-9) expression in both cell lines. These results indicate that EGCG can inhibit proliferation and reduce the invasive potential of HTLV-1-positive leukemia cells. It apparently exerted its effects by suppressing Tax expression, manifested by inhibiting the activation of NF-kB pathway and induction of MMP-9 transcription in HTLV-1 positive cells.
BACH: Grand challenge on breast cancer histology images
Aresta, Guilherme,Araú,jo, Teresa,Kwok, Scotty,Chennamsetty, Sai Saketh,Safwan, Mohammed,Alex, Varghese,Marami, Bahram,Prastawa, Marcel,Chan, Monica,Donovan, Michael,Fernandez, Gerardo,Zeineh, J Elsevier 2019 Medical image analysis Vol.56 No.-
<P><B>Abstract</B></P> <P>Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysis by pathologists, in a task that i) is highly time- and cost-consuming and ii) often leads to nonconsensual results. The relevance and potential of automatic classification algorithms using hematoxylin-eosin stained histopathological images has already been demonstrated, but the reported results are still sub-optimal for clinical use. With the goal of advancing the state-of-the-art in automatic classification, the Grand Challenge on BreAst Cancer Histology images (BACH) was organized in conjunction with the 15th International Conference on Image Analysis and Recognition (ICIAR 2018). BACH aimed at the classification and localization of clinically relevant histopathological classes in microscopy and whole-slide images from a large annotated dataset, specifically compiled and made publicly available for the challenge. Following a positive response from the scientific community, a total of 64 submissions, out of 677 registrations, effectively entered the competition. The submitted algorithms improved the state-of-the-art in automatic classification of breast cancer with microscopy images to an accuracy of 87%. Convolutional neuronal networks were the most successful methodology in the BACH challenge. Detailed analysis of the collective results allowed the identification of remaining challenges in the field and recommendations for future developments. The BACH dataset remains publicly available as to promote further improvements to the field of automatic classification in digital pathology.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The BACH challenge was organized to push forward methods for automatic classification of breast cancer biopsies using clinical hematoxylin-eosin stained histopathological images. </LI> <LI> A large public dataset, composed of 400 microscopy images and 30 whole-slide images, was specifically compiled for the BACH challenge. </LI> <LI> A total of 64 methods were submitted, out of 677 registration, and a detailed comparative analysis was carried out for the methods with higher accuracy scores. </LI> <LI> Several submitted algorithms performed better than the state-of-the-art in terms of accuracy (top score of 87%). </LI> <LI> Convolutional neural networks dominated the submissions, and was the method of choice in the algorithm that won the challenge. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>