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Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN

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Computers, Materials & Continua 2021年第9期68卷 3755-3771页

作者： Ali Salem Rahisham abd.rahman Waheed Ghanem Samir Al-Gailani Salem Al-Ameri Faculty of Electrical and Electronic Engineering University Tun Hussein Onn MalaysiaJohor86400Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia TerengganuKuala Terengganu21030Malaysia School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia Department of Electrical and Electronics Engineering Faculty of EngineeringAl-Madinah International UniversityKuala Lumpur57100Malaysia

This paper aims to assess the effect of dry band location of contaminated porcelain insulators under various flashover voltages due to *** locations of dry bands are proposed to be tested under different severity of contamination artificially produce using salt deposit density(SDD)sprayed on an *** tests of polluted insulators under proposed scenarios have been *** flashover voltage of clean insulators has been identified as a reference value to analyze the effect of contamination distribution and its *** dry band dimension has been taken into consideration in experimental *** flashover voltage has been predicted using an artificial neural network(ANN)technique based on the laboratory test *** ANN approach is constructed with five input data(geometry the insulator and parameters of contamination)and flashover voltage as the output of the *** indicated that the pollution distribution based on the proposed scenario has a significant influence on the flashover voltage *** of the ANN model reveals that the relative error values between the experimental results and the prediction appeared to be within 5%.This indicates the significant efficiency of the ANN technique in predicting the flashover voltage insulator under test.

关键词： Insulator pollution distribution artificial neural network dry band

Investigation on the performance of DI-BSCCO superconducting electric motor

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Natural Science 2011年第1期3卷 36-41页

作者： Chin Kat Meng Nasri A. Hamid Mohd. Yusri abd. rahman 不详

Superconducting electrical devices have been developed in various fields especially in industrial energy over a decade. Superconducting motor is one of the electrical devices that attracted the attention of engineers and researchers from the universities and industries due to its distinctive energy efficiency. This paper describes the performance of superconducting electric motor and its performance was compared with conventional copper electric motor. Direct current (DC) synchronous single- phase series motor has been chosen as the base for development of both motors. Two prototypes of electric motor fabricated using conventional copper coil and superconducting coil were developed with similar motor type, design, dimension, and features. The superconducting motor coil was wound using Bi-2223 (DI-BSCCO) Type H wires developed by Sumitomo Electric Industries Limited, Japan. A finite element analysis was performed to get a clear view on flux plots of the magnetic induction. Features of the superconducting motor and the special coil frame designed to protect the superconducting wire was also presented in this paper. In addition, the torque performances for both types of motor were measured. The superconducting electric motor was found to consume lower power to produce the same output compared with the conventional copper-wound motor.

关键词： Superconductor Magnetic flux Finite Element Analysis Electric Motor

Decision Making Algorithmic Approaches Based on Parameterization of Neutrosophic Set under Hypersoft Set Environment with Fuzzy, Intuitionistic Fuzzy and Neutrosophic Settings

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Computer Modeling in Engineering & Sciences 2021年第8期128卷 743-777页

作者： Atiqe Ur rahman Muhammad Saeed Sultan S.Alodhaibi Hamiden abd.El-Wahed Khalifa Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of Science and ArtsQassim UniversityAl-Rass51921Saudi Arabia Department of Operations Research Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics College of Science and ArtsQassim UniversityAl-Badaya51951Saudi Arabia

Hypersoft set is an extension of soft set as it further partitions each attribute into its corresponding attribute-valued *** structure is more flexible and useful as it addresses the limitation of soft set for dealing with the scenarios having disjoint attribute-valued sets corresponding to distinct *** main purpose of this study is to make the existing literature regarding neutrosophic parameterized soft set in line with the need of multi-attribute approximate ***,we conceptualize the neutrosophic parameterized hypersoft sets under the settings of fuzzy set,intuitionistic fuzzy set and neutrosophic set along with some of their elementary properties and set theoretic ***,we propose decision-making-based algorithms with the help of these ***,illustrative examples are presented which depict the structural validity for successful application to the problems involving vagueness and ***,the generalization of the proposed structure is discussed.

关键词： Neutrosophic set hypersoft set neutrosophic hypersoft set parameterized soft set parameterized hypersoft set

Deep-piRNA:Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features

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Computers, Materials & Continua 2022年第8期72卷 2243-2258页

作者： Salman Khan Mukhtaj Khan Nadeem Iqbal Mohd Amiruddin abd.rahman Muhammad Khalis abd.l Karim Department of Computer Science Abdul Wali Khan University MardanKhyber Pakhtunkhwa23200Pakistan Department of Information Technology University of HaripurKhyber Pakhtunkhwa22620Pakistan Faculty of Science Universiti Putra MalaysiaUPM Serdang43400Malaysia

Piwi-interacting Ribonucleic acids(piRNAs)molecule is a wellknown subclass of small non-codingRNAmolecules that are mainly responsible for maintaining genome integrity,regulating gene expression,and germline stem cell maintenance by suppressing transposon *** piRNAs molecule can be used for the diagnosis of multiple tumor types and drug *** to the vital roles of the piRNA in computational biology,the identification of piRNAs has become an important area of research in computational *** paper proposes a two-layer predictor to improve the prediction of piRNAs and their function using deep learning *** proposed model applies various feature extraction methods to consider both structure information and physicochemical properties of the biological sequences during the feature extraction *** outcome of the proposed model is extensively evaluated using the k-fold cross-validation *** evaluation result shows that the proposed predictor performed better than the existing models with accuracy improvement of 7.59%and 2.81%at layer I and layer II *** is anticipated that the proposed model could be a beneficial tool for cancer diagnosis and precision medicine.

关键词： Deep neural network DNC TNC CKSNAP PseDPC cancer discovery Piwi-interacting RNAs Deep-piRNA

Propagation Characterization and Analysis for 5G mmWave Through Field Experiments

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Computers, Materials & Continua 2021年第8期68卷 2249-2264页

作者： Faizan Qamar Mhd Nour Hindia Tharek abd.rahman Rosilah Hassan Kaharudin Dimyati Quang Ngoc Nguyen Centre for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600BangiSelangorMalaysia Department of Electrical Engineering Faculty of EngineeringUniversity of Malaya50603Kuala LumpurMalaysia Wireless Communication Centre Faculty of Electrical EngineeringUniversiti Teknologi Malaysia81310SkudaiJohorMalaysia Department of Computer Science and Communications Engineering Faculty of Science and EngineeringWaseda UniversityTokyo169-8050Japan

The 5G network has been intensively investigated to realize the ongoing early deployment stage as an effort to match the exponential growth of the number of connected users and their increasing demands for high throughput,bandwidth with Quality of Service(QoS),and low *** that most of the spectrums below 6 GHz are nearly used up,it is not feasible to employ the traditional spectrum,which is currently in ***,a promising and highly feasible effort to satisfy this insufficient frequency spectrum is to acquire new frequency bands for next-generation mobile *** this end,the primary effort has been focused on utilizing the millimeter-wave(mmWave)as the most promising candidate for the frequency ***,though the mmWave frequency band can fulfill the desired bandwidth requirements,it has been demonstrated to endure several issues like scattering,atmospheric absorption,fading,and especially penetration losses compared to the existing sub-6 GHz frequency ***,it is fundamental to optimize the mmWave band propagation channel to facilitate the practical 5G implementation for the network ***,this study intends to investigate the outdoor channel characteristics of 26,28,36,and 38 GHz frequency bands for the communication infrastructure at the building to the ground floor in both Line of Sight(LOS)and Non-Line of Sight(NLOS)*** experimental campaign has studied the propagation path loss models such as Floating-Intercept(FI)and Close-In(CI)for the building to ground floor environment in LOS and NLOS *** findings obtained from the field experiments clearly show that the CI propagation model delivers much better performance in comparison with the FI model,thanks to its simple setup,accuracy,and precise function.

关键词： 5G mmWave propagation channel path loss channel characterization field experiment

Framework for a Computer-Aided Treatment Prediction (CATP) System for Breast Cancer

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Intelligent Automation & Soft Computing 2023年第6期36卷 3007-3028页

作者： Emad abd.Al rahman Nur Intan Raihana Ruhaiyem Majed Bouchahma Kamarul Imran Musa School of Computer Sciences Universiti Sains MalaysiaPenang11800Malaysia School of Computer Science Higher Colleges of TechnologyRAKUAE Department of Community Medicine School of Medical SciencesUniversiti Sains MalaysiaKubang KerianKelantan16150Malaysia

This study offers a framework for a breast cancer computer-aided treat-ment prediction(CATP)*** rising death rate among women due to breast cancer is a worldwide health concern that can only be addressed by early diagno-sis and frequent *** has been the most utilized breast ima-ging technique to *** have begun to use computer-aided detection and diagnosis(CAD)systems to improve the accuracy of breast cancer diagnosis by minimizing human *** the progress of artificial intelligence(AI)in the medical field,this study indicates that systems that can anticipate a treatment plan once a patient has been diagnosed with cancer are few and not widely *** such a system will assist clinicians in determining the optimal treatment plan and avoid exposing a patient to unnecessary hazardous treatment that wastes a significant amount of *** develop the prediction model,data from 336,525 patients from the SEER dataset were split into training(80%),and testing(20%)*** Trees,Random Forest,XGBoost,and CatBoost are utilized with feature importance to build the treatment prediction *** best overall Area Under the Curve(AUC)achieved was 0.91 using Random Forest on the SEER dataset.

关键词： Breastcancer machinelearning featureimportance featureselection treatment prediction SEER dataset computer-aided treatment prediction(CATP) clinical decision support system

Phenolics-saponins rich fraction of defatted kenaf seed meal exhibits cytotoxicity towards cancer cell lines

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Asian Pacific Journal of Tropical Biomedicine 2016年第5期6卷 404-409页

作者： Latifah Saiful Yazan Napsiah abd.rahman Kim Wei Chan Wan Nor Hafiza Wan abd.Ghani Yin Sim Tor Jhi Biau Foo Laboratory of Molecular Biomedicine Institute of BioscienceUniversiti Putra Malaysia (UPM) Department of Biomedical Science Faculty of Medicine and Health SciencesUniversiti Putra Malaysia (UPM)

Objectives: To determine the cytotoxicity of crude ethanolic extract, n-butanol fraction and aqueous fraction on selected cancer cell lines, and to observe the morphological changes of the cancer cells treated with n-butanol ***: The cytotoxic effect of n-butanol fraction, crude ethanolic extract and aqueous fraction on breast cancer(MCF-7 and MDA-MB-231), colon cancer(HT29), lung cancer(A549), cervical cancer(He La) and normal mouse fibroblast(3T3) cell lines was determined using MTT assay. The morphological changes of the treated cells were observed under an inverted light ***: n-Butanol fraction was the most cytotoxic towards HT29 and MCF-7 cells in a dose-dependent manner compared to crude ethanolic extract and aqueous fraction(P < 0.05). The IC50 of n-butanol fraction for HT29 and MCF-7 was(780.00 ± 28.28)and(895.00 ± 7.07) mg/m L, respectively. Cell shrinkage, membrane blebbing and formation of apoptotic bodies were noted following treatment of HT29 cells with n-butanol ***: In conclusion, n-butanol fraction was more cytotoxic than crude ethanolic extract and aqueous fraction towards the selected cancerous cell lines and induced apoptosis in HT29 cells.

关键词： Defatted kenaf seed meal Phenolic-saponin rich fraction Cytotoxic Apoptosis

Effect of climate factors on the incidence of hand, foot, and mouth disease in Malaysia: A generalized additive mixed model

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Infectious Disease Modelling 2021年第1期6卷 997-1008页

作者： Nurmarni Athirah abd.l Wahid Jamaludin Suhaila Haliza abd.rahman Department of Mathematical Sciences Faculty of ScienceUniversiti Teknologi Malaysia81310Johor BahruJohorMalaysia UTM Centre for Industrial and Applied Mathematics(UTM-CIAM) Ibnu Sina Institute for Scientific and Industrial ResearchUniversiti Teknologi Malaysia81310Johor BahruJohorMalaysia

Climate change is one of the critical determinants affecting life cycles and transmission of most infectious agents,including malaria,cholera,dengue fever,hand,foot,and mouth disease(HFMD),and the recent Corona-virus *** has been associated with a growing number of outbreaks resulting in fatal complications since the late *** outbreaks may result from a combination of rapid population growth,climate change,socioeconomic changes,and other lifestyle ***,the modeling of climate variability and HFMD remains unclear,particularly in statistical theory *** statistical relationship between HFMD and climate factors has been widely studied using generalized linear and additive *** dealing with time-series data with clustered variables such as HFMD with clustered states,the independence principle of both modeling approaches may be ***,a Generalized Additive Mixed Model(GAMM)is used to investigate the relationship between HFMD and climate factors in *** model is improved by using a first-order autoregressive term and treating all Malaysian states as a random *** method is preferred as it allows states to be modeled as random effects and accounts for time series data *** findings indicate that climate variables such as rainfall and wind speed affect HFMD cases in *** risk of HFMD increased in the subsequent two weeks with rainfall below 60 mm and decreased with rainfall exceeding 60 ***,a two-week lag in wind speeds between 2 and 5 m/s reduced HFMD's *** results also show that HFMD cases rose in Malaysia during the inter-monsoon and southwest monsoon seasons but fell during the northeast *** study's outcomes can be used by public health officials and the general public to raise awareness,and thus,implement effective preventive measures.

关键词： Autoregressive term Climate change Generalized additive mixed model HFMD Infectious disease

Control System Design and Implementation at Flexible, Distributed Offshore Sensor Test Sites in the Yangtze Estuary Area

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Journal of Ocean University of China 2021年第2期20卷 285-295页

作者： HU Qingsong JIANG Chao DU Lin LI Jun CHEN Leilei XIANG Peng ZHANG Hongcheng rahman Hafiz abd.ur College of Engineering Science and Technology Shanghai Ocean UniversityShanghai 201306China Anhui Jiyuan Inspection and Testing Technology Co. Ltd.Hefei 230088China

Marine in situ testing is a necessary step for stereotyping newly developed marine sensors. The use of test sites in the Yangtze Estuary area, which has high turbidity and abundant nutrients, can effectively reduce the needed testing time owing to its harsh conditions. Five test stations were established, and a floating buoy and fixed test equipment were designed. A control system, including a sensor connection, data processor, video remote transmission, and corresponding control algorithm, was developed. The control system enabled the nondestructive monitoring of biological attachments and bidirectional, real-time communication between an upper server on land and the control system at the test sites. The dissolved oxygen(DO), temperature, and pH data of DOS600 and DPS600 sensors were compared with those of AP2000 sensors. Temperature recording using the DOS600 sensor was performed nearly as well as that of the AP2000 sensor. The mean DO values(standard deviations) were 8.414 mg L-1(2.068) and 6.896 mg L-1(1.235) for the DOS600 and AP2000 sensors, respectively, indicating that the DOS600 performance was unsatisfactory. The pH recording of the DPS600 was slightly worse than that of the AP2000 sensor. Experimental results showed that the DO value was more easily affected by the buoy movement of waves compared to the pH and temperature. Moreover, data fluctuations showed that the DO and pH parameters were more vulnerable to biofouling than temperature. Waves and biofouling create a harsh test environment, and the performance difference between the developed sensors and a standard sensor can be obtained in a short time period.

关键词： offshore sensor test sites Yangtze Estuary control system communication protocol microwave sensor detection data analysis