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Journal of Marine Science and Application 2020年第4期19卷 584-614页

作者： mohamed mubarak abdul wahab V.John Kurian Mohd Shahir Liew Do Kyun Kim Department of Civil and Environmental Engineering Universiti Teknologi PETRONAS32610 Seri IskandarPerakMalaysia Administration Department Providence College of EngineeringChengannur 689122India Group of Marine Offshore and Subsea Technology School of EngineeringNewcastle UniversityNewcastle upon Tyne NE17RUUK Graduate Institute of Ferrous Technology Pohang University of Science and TechnologyPohang 37673Republic of Korea

In this study,the technical papers on structural condition assessment of aged fixed-type offshore platforms reported over the past few decades are *** ancillary related works are also *** numbers of researches are available in the area of requalification for life extension of offshore jacket *** of these studies involve reassessment of existing platforms by means of conducting pushover analysis,a static nonlinear collapse analysis method to evaluate the structure nonlinear behaviour and capacity beyond the elastic *** here,the failure mechanism and inherent reserve strength/capacity of the overall truss structure are *** method of doing reassessment is described clearly in the industry-adopted codes and standards such the API,ISO,PTS and NORSOK *** may help understand the structural behaviour of aged fixed offshore jacket structures for maintenance or decommissioning.

关键词： Strength of offshore platforms Reliability Jacket platform Fixed structure,oil and gas Fixed-type offshore platform Offshore structures

High-resolution three-dimensional atomic microscopy via double electromagnetically induced transparency

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Chinese Physics B 2021年第9期30卷 216-224页

作者： abdul wahab National Laboratory for Physical Sciences at Microscale Shanghai BranchUniversity of Science and Technology of ChinaShanghai 201315China CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China

We aim to present a new scheme for high-dimensional atomic microscopy via double electromagnetically induced transparency in a four-level tripod *** atom-field interaction,we construct a spatially dependent field by superimposing three standing-wave fields(SWFs)in 3D-atom *** achieve a high precision and high spatial resolution of an atom localization by appropriately adjusting the system variables such as field intensities and phase *** also see the impact of Doppler shift and show that it dramatically deteriorates the precision of spatial information on 3D-atom *** believe that our suggested scheme opens up a fascinating way to improve the atom localization that supplies some practical applications in atom nanolithography,and Bose-Einstein condensation.

关键词： electromagnetically induced transparency transparency windows

High-dimensional atomic microscopy in surface plasmon polaritons

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Chinese Physics B 2020年第12期29卷 251-257页

作者： Akhtar Munir abdul wahab Munsif Jan Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Shanghai Branch National Laboratory for Physical Sciences at MicroscaleUniversity of Science and Technology of ChinaShanghai 201315China Key Laboratory of Quantum Information of Chinese Academy of Sciences(CAS) University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China

We develop a new scheme of two-dimensional(2D)and three-dimensional(3D)atom localization via absorption and gain spectra of surface plasmon polaritons(SPPs)in a closed loop four-level atomic *** the atom–field interaction,we construct a spatially dependent field by superimposing two(three)standing-wave fields(SWFs)in 2D(3D)atom localization,*** achieve high-precision and high spatial resolution of an atom localization by appropriately adjusting the system parameters such as probe field detuning and phase shifts of the *** absorption and gain spectra are used to attain information about the position of an atom in *** proposed scheme opens up a fascinating way to improve the atom localization that supplies some practical applications in a high-dimensional SPPs.

关键词： atom localization absorption and gain spectra four-level atomic system

Autonomous Unmanned Aerial Vehicles Based Decision Support System for Weed Management

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Computers, Materials & Continua 2022年第10期73卷 899-915页

作者： Ashit Kumar Dutta Yasser Albagory abdul Rahaman wahab Sait Ismail mohamed Keshta Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

Recently,autonomous systems become a hot research topic among industrialists and academicians due to their applicability in different domains such as healthcare,agriculture,industrial automation,*** the interesting applications of autonomous systems,their applicability in agricultural sector becomes *** unmanned aerial vehicles(UAVs)can be used for suitable site-specific weed management(SSWM)to improve crop *** spite of substantial advancements in UAV based data collection systems,automated weed detection still remains a tedious task owing to the high resemblance of weeds to the *** recently developed deep learning(DL)models have exhibited effective performance in several data classification *** this aspect,this paper focuses on the design of autonomous UAVs with decision support system for weed management(AUAV-DSSWM)*** proposed AUAV-DSSWM technique intends to identify the weeds by the use of UAV images acquired from the target ***,the AUAV-DSSWM technique primarily performs image acquisition and image pre-processing ***,the Adam optimizer with You Only Look Once Object Detector-(YOLOv3)model is applied for the detection of *** the effective classification of weeds and crops,the poor and rich optimization(PRO)algorithm with softmax layer is *** design of Adam optimizer and PRO algorithm for the parameter tuning process results in enhanced weed detection performance.A wide range of simulations take place on UAV images and the experimental results exhibit the promising performance of the AUAV-DSSWM technique over the other recent techniques with the accy of 99.23%.

关键词： Autonomous systems object detection precision agriculture unmanned aerial vehicles deep learning parameter tuning

Anomaly Detection in ICS Datasets with Machine Learning Algorithms

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Computer Systems Science & Engineering 2021年第4期37卷 33-46页

作者： Sinil mubarak mohamed Hadi Habaebi Md Rafiqul Islam Farah Diyana abdul Rahman Mohammad Tahir International Islamic University Malaysia Jalan Gombak53100Malaysia Sunway University Selangor47500Malaysia

An Intrusion Detection System (IDS) provides a front-line defensemechanism for the Industrial Control System (ICS) dedicated to keeping the process operations running continuously for 24 hours in a day and 7 days in a week.A well-known ICS is the Supervisory Control and Data Acquisition (SCADA)system. It supervises the physical process from sensor data and performs remotemonitoring control and diagnostic functions in critical infrastructures. The ICScyber threats are growing at an alarming rate on industrial automation applications. Detection techniques with machine learning algorithms on public datasets,suitable for intrusion detection of cyber-attacks in SCADA systems, as the firstline of defense, have been detailed. The machine learning algorithms have beenperformed with labeled output for prediction classification. The activity trafficbetween ICS components is analyzed and packet inspection of the dataset is performed for the ICS network. The features of flow-based network traffic areextracted for behavior analysis with port-wise profiling based on the data baseline,and anomaly detection classification and prediction using machine learning algorithms are performed.

关键词： Industrial control system SCADA intrusion detection system machine learning anomaly detection

Osmotic concentration of succinic acid by forward osmosis:Influence of feed solution pH and evaluation of seawater as draw solution

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Chinese Journal of Chemical Engineering 2018年第5期26卷 976-983页

作者： Jeng Yih Law abdul wahab Mohammad Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Section of Chemical Engineering Technology Universiti Kuala Lumpur Malaysian Institute of Chemical & Bioengineering Technology

In this study, we investigated the essential role of feed solution pH so as to gain insights into the transport mechanisms of succinic acid concentration by osmotically-driven forward osmosis （FO） process. FO performances including water flux and bidirectional transport of succinate and chloride anions were systematically examined using cellulose triacetate-based FO membrane. Additionally, real seawater was explored as draw solution. Experimental results revealed that the pH-dependent speciation of succinic acid can affect the FO performances. Ionization of succinic acid at higher solution pH enhanced the osmotic pressure of feed solution, thus leading to lower water flux performance. A strong effect was pointed out on the succinate rejection for which nearly 100% rejections were achieved at pH above its pKa2 value. The rejection of succinate increased in the following order of chemical form： C2H4C2O4H2 〈 C2H4C2OH- 〈 C2H4C2O24-. With real seawater as the draw solution, low to moderate water fluxes （〈4 L. m- 2. h- 1 ） were observed. The divalent succinate anion was highly retained in the feed side despite differences in the succinic acid feed concentration at pH of approximately 6.90.

关键词： Forward osmosis Succinic acid pH Transport mechanism Seawater

Performance comparison of zero-Schottky-barrier and doped contacts carbon nanotube transistors with strain applied

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Nano-Micro Letters 2010年第2期2卷 126-133页

作者： Md.abdul wahab Khairul Alam Department of Electrical and Electronic Engineering United International University Department of Electrical and Electronic Engineering East West University

Atomistic quantum simulation is performed to compare the performance of zero-Schottky-barrier and doped source-drain contacts carbon nanotube field effect transistors(CNTFETs) with strain applied. The doped source-drain contact CNTFETs outperform the Schottky contact devices with and without strain applied. The off-state current in both types of contact is similar with and without strain applied. This is because both types of contact offer very similar potential barrier in off-state. However, the on-state current in doped contact devices is much higher due to better modulation of on-state potential profile, and its variation with strain is sensitive to the device contact type. The on/off current ratio and the inverse subthreshold slope are better with doped source-drain contact, and their variations with strain are relatively less sensitive to the device contact type. The channel transconductance and device switching performance are much better with doped source-drain contact, and their variations with strain are sensitive to device contact type.

关键词： Zero-Schottky-barrier Doped contact Strain Inverse subthreshold slope Intrinsic cut-off frequency

Bilateral adrenal histoplasmosis in a Malaysian tertiary hospital:Report of four cases

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Asian Pacific Journal of Tropical Medicine 2024年第2期17卷 91-94页

作者： Kang WH Norasyikin abdul wahab Department of Medicine Faculty of Medicine and Health SciencesUniversity Tunku Abdul RahmanMalaysia Department of Medicine Pusat Perubatan Universiti KebangsaanMalaysia

Rationale:Adrenal histoplasmosis can present as bilateral adrenal enlargement with constitutional symptoms and/or adrenal *** these patients are initially investigated as secondary adrenal metastases before eventually their diagnosis established by histopathological examination of the adrenal *** concerns:We report 4 cases of patients aged 55-78 who presented with hypocortisolism and bilateral adrenal ***:Bilateral adrenal ***:Three patients received antifungal treatment for at least one year while 1 patient passed away before the initiation of antifungal ***:Two patients’adrenal function recovered not requiring any steroid replacement,while 1 patient still requires long-term steroid ***:Adrenal histoplasmosis should be excluded in patients from endemic areas presenting with bilateral adrenal masses and adrenal *** patients have an exposure to bird droppings,bat guano or soil contaminated with histoplasmosis *** examination of biopsied adrenal tissues is still the gold standard investigation as serology and molecular diagnostic methods are still not widely available in most centers in Malaysia.

关键词： Adrenal histoplasmosis Histoplasmosis Bilateral adrenal masses

Deep Learning with Natural Language Processing Enabled Sentimental Analysis on Sarcasm Classification

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Computer Systems Science & Engineering 2023年第3期44卷 2553-2567页

作者： abdul Rahaman wahab Sait Mohamad Khairi Ishak Department of Documents and Archive Center of Documents and Administrative CommunicationKing Faisal UniversityAl HofufAl-Ahsa31982Saudi Arabia School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia

Sentiment analysis(SA)is the procedure of recognizing the emotions related to the data that exist in social *** existence of sarcasm in tex-tual data is a major challenge in the efficiency of the *** works on sarcasm detection on text utilize lexical as well as pragmatic cues namely interjection,punctuations,and sentiment shift that are vital indicators of *** the advent of deep-learning,recent works,leveraging neural networks in learning lexical and contextual features,removing the need for handcrafted *** this aspect,this study designs a deep learning with natural language processing enabled SA(DLNLP-SA)technique for sarcasm *** proposed DLNLP-SA technique aims to detect and classify the occurrence of sarcasm in the input ***,the DLNLP-SA technique holds various sub-processes namely preprocessing,feature vector conversion,and ***,the pre-processing is performed in diverse ways such as single character removal,multi-spaces removal,URL removal,stopword removal,and ***,the transformation of feature vectors takes place using the N-gram feature vector ***,mayfly optimization(MFO)with multi-head self-attention based gated recurrent unit(MHSA-GRU)model is employed for the detection and classification of *** verify the enhanced outcomes of the DLNLP-SA model,a comprehensive experimental investigation is performed on the News Headlines Dataset from Kaggle Repository and the results signified the supremacy over the existing approaches.

关键词： Sentiment analysis sarcasm detection deep learning natural language processing n-grams hyperparameter tuning

A New Hybrid Feature Selection Method Using T-test and Fitness Function

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Computers, Materials & Continua 2021年第9期68卷 3997-4016页

作者： Husam Ali abdulmohsin Hala Bahjat abdul wahab abdul Mohssen Jaber abdul Hossen Department of Computer Science Faculty of ScienceUniversity of BaghdadBaghdadIraq Faculty of Computer Science Technology UniversityBaghdadIraq Department of Computer Science Al-Turath University CollegeBaghdadIraq

Feature selection(FS)(or feature dimensional reduction,or feature optimization)is an essential process in pattern recognition and machine learning because of its enhanced classification speed and accuracy and reduced system *** reduces the number of features extracted in the feature extraction phase by reducing highly correlated features,retaining features with high information gain,and removing features with no weights in *** this work,an FS filter-type statistical method is designed and implemented,utilizing a t-test to decrease the convergence between feature subsets by calculating the quality of performance value(QoPV).The approach utilizes the well-designed fitness function to calculate the strength of recognition value(SoRV).The two values are used to rank all features according to the final weight(FW)calculated for each feature subset using a function that prioritizes feature subsets with high SoRV *** FW is assigned to each feature subset,and those with FWs less than a predefined threshold are removed from the feature subset *** are implemented on three datasets:Ryerson Audio-Visual Database of Emotional Speech and Song,Berlin,and Surrey Audio-Visual Expressed *** performance of the F-test and F-score FS methods are compared to those of the proposed *** are also conducted on a system before and after deploying the FS *** demonstrate the comparative efficiency of the proposed *** complexity of the system is calculated based on the time overhead required before and after *** show that the proposed method can reduce system complexity.

关键词： Feature selection dimensional reduction feature optimization pattern recognition classification t-test