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Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and storage

Chinese Journal of Chemical Engineering 2021年第12期34卷 149-159页

作者： Gabriel Khew Mun Hong Mohd Azlan Hussain ahmad khairi abdul wahab Department of Chemical Engineering Faculty of EngineeringUniversiti Malaya50603 Kuala LumpurMalaysia Department of Biomedical Engineering Faculty of EngineeringUniversiti Malaya50603 Kuala LumpurMalaysia Centre for Separation Science and Technology(CSST) Faculty of EngineeringUniversiti Malaya50603 Kuala LumpurMalaysia

This work presents the implementation of fuzzy logic control(FLC) on a microbial electrolysis cell(MEC).Hydrogen has been touted as a potential alternative source of energy to the depleting fossil fuels. MEC is one of the most extensively studied method of hydrogen production. The utilization of biowaste as its substrate by MEC promotes the waste to energy initiative. The hydrogen production within the MEC system, which involves microbial interaction contributes to the system's nonlinearity. Taking into account of the high complexity of MEC system, a precise process control system is required to ensure a wellcontrolled biohydrogen production flow rate and storage application inside a tank. Proportionalderivative-integral(PID) controller has been one of the pioneer control loop mechanism. However, it lacks the capability to adapt properly in the presence of disturbance. An advanced process control mechanism such as the FLC has proven to be a better solution to be implemented on a nonlinear system due to its similarity in human-natured thinking. The performance of the FLC has been evaluated based on its implementation on the MEC system through various control schemes progressively. Similar evaluations include the performance of Proportional-Integral(PI) and PID controller for comparison purposes. The tracking capability of FLC is also accessed against another advanced controller that is the model predictive controller(MPC). One of the key findings in this work is that the FLC resulted in a desirable hydrogen output via MEC over the PI and PID controller in terms of shorter settling time and lesser overshoot.

关键词： Fuzzy logic control Process control Nonlinear Microbial electrolysis cell Renewable energy Hydrogen

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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

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A Novel Handcrafted with Deep Features Based Brain Tumor Diagnosis Model

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Intelligent Automation & Soft Computing 2023年第2期35卷 2057-2070页

作者： abdul Rahaman wahab Sait Mohamad khairi Ishak Department of Documents and Archive Center of Documents and Administrative CommunicationKing Faisal UniversityAl Hofuf31982Al-AhsaSaudi Arabia School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong Tebal14300PenangMalaysia

In healthcare sector,image classiﬁcation is one of the crucial problems that impact the quality output from image processing *** purpose of image classiﬁcation is to categorize different healthcare images under various class labels which in turn helps in the detection and management of *** Resonance Imaging(MRI)is one of the effective non-invasive strate-gies that generate a huge and distinct number of tissue contrasts in every imaging *** technique is commonly utilized by healthcare professionals for Brain Tumor(BT)*** recent advancements in Machine Learning(ML)and Deep Learning(DL)models,it is possible to detect the tumor from images automatically,using a computer-aided *** current study focuses on the design of automated Deep Learning-based BT Detection and Classiﬁcation model using MRI images(DLBTDC-MRI).The proposed DLBTDC-MRI techni-que aims at detecting and classifying different stages of *** proposed DLBTDC-MRI technique involves medianﬁltering technique to remove the noise and enhance the quality of MRI ***,morphological operations-based image segmentation approach is also applied to determine the BT-affected regions in brain MRI ***,a fusion of handcrafted deep features using VGGNet is utilized to derive a valuable set of feature ***,Artiﬁcial Fish Swarm Optimization(AFSO)with Artiﬁcial Neural Network(ANN)model is utilized as a classiﬁer to decide the presence of *** order to assess the enhanced BT classiﬁcation performance of the proposed model,a comprehensive set of simulations was performed on benchmark dataset and the results were vali-dated under several measures.

关键词： Brain tumor medical imaging image classiﬁcation handcrafted features deep learning parameter optimization

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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

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Control Strategy to Suppress DC for Transformer-Less Grid-Connected PV Systems

Control Strategy to Suppress DC for Transformer-Less Grid-Co...

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作者： abdul wahab ahmad 华南理工大学

学位级别：硕士

Photovoltaic（PV） power systems are widely utilized, so that it can carry out the growing power demands. At present, Grid-connected PV systems are becoming more attractive. For increasing the overall efficiency of PV power systems, the tendency of using transformer-less grid-connected inverters are drawing more attention due to high efficiency, low cost and small size. This thesis presents an efficient control method, which mainly focuses on the suppression of Direct Current（DC） component injection to the utility grid for grid-connected single-phase PV inverter. The proposed control method is also able to reduce the total harmonic distortion（THD） in the grid current. A PI controller along with an integrator is used into the feedback closed-loop of grid-connected inverter system for achieving the zero steadystate error condition for the designed controller, which efficiently suppressed the DC injecting into the inverter output current and reduced the harmonics in the grid current. Proposed DC suppressing method is then compared with other methods based on the output waveforms of grid current and Fast Fourier Transform（FFT） analysis. In our proposed method, the DC component value and THD% is reduced to a very low level as compared to previously proposed techniques, which meets the international standards defined for grid-connected PV systems with a big margin. The simulation results testify the validity and significance of the proposed method.

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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

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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

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Dual-specificity phosphatase 6(DUSP6): a review of its molecular characteristics and clinical relevance in cancer

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Cancer Biology & Medicine 2018年第1期15卷 14-28页

作者： Muhammad khairi ahmad Nur Ainina Abdollah Nurul Husna Shafie Narazah Mohd Yusof Siti Razila abdul Razak Oncological and Radiological Sciences Cluster Advanced Medical and Dental Institute Universiti Sains Malaysia Department of Nutrition and Dietetics Faculty of Medicine and Health SciencesUniversiti Putra Malaysia Regenerative Medicine Cluster Advanced Medical and Dental Institute Universiti Sains Malaysia

Mitogen-activated protein kinases(MAPKs) are the main regulators of cellular proliferation, growth, and survival in physiological or pathological conditions. Aberrant MAPK signaling plays a pivotal role in carcinogenesis, which leads to development and progression of human cancer. Dual-specificity phosphatase 6(DUSP6), a member of the MAPK phosphatase family, interacts with specifically targeted extracellular signal-regulated kinase 1/2 via negative feedback regulation in the MAPK pathway of mammalian cells. This phosphatase functions in a dual manner, pro-oncogenic or tumor-suppressive, depending on the type of cancer. To date, the tumor-suppressive role of DUSP6 has been demonstrated in pancreatic cancer, non-small cell lung cancer, esophageal squamous cell and nasopharyngeal carcinoma, and ovarian cancer. Its pro-oncogenic role has been observed in human glioblastoma, thyroid carcinoma, breast cancer, and acute myeloid carcinoma. Both roles of DUSP6 have been documented in malignant melanoma depending on the histological subtype of the cancer. Loss-or gain-of-function effects of DUSP6 in these cancers highlights the significance of this phosphatase in carcinogenesis. Development of methods that use the DUSP6 gene as a therapeutic target for cancer treatment or as a prognostic factor for diagnosis and evaluation of cancer treatment outcome has great potential. This review focuses on molecular characteristics of the DUSP6 gene and its role in cancers in the purview of development, progression, and cancer treatment outcome.

关键词： Dual-specificity phosphatase 6 MAPK signaling cancer chemoresponsiveness chemoresistance

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高温高压下Saraline基超轻完井液黏度预测模型优选

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石油勘探与开发 2016年第5期43卷 793-798页

作者： AMIR Zulhelmi JAN Badrul Mohamed wahab ahmad khairi abdul KHALIL Munawar ALI Brahim Si CHONG Wen Tong University of Malaya Center for Sustainable Infrastructure Development(CSID) University of Indonesia

以Saraline基超轻完井液为研究对象,分析其黏度在高温高压环境下的变化情况,并优选其高温高压黏度预测模型。测量黏度时温度为298.15~373.15 K,压力为0.10~4.48 MPa,分析测量数据后发现：随着温度的升高,低温下黏度快速下降,高温下黏度... 详细信息

以Saraline基超轻完井液为研究对象,分析其黏度在高温高压环境下的变化情况,并优选其高温高压黏度预测模型。测量黏度时温度为298.15~373.15 K,压力为0.10~4.48 MPa,分析测量数据后发现：随着温度的升高,低温下黏度快速下降,高温下黏度降幅较小,且黏度对压力变化不敏感。将实验测量数据与4个常用黏度-温度-压力模型进行拟合,发现利用改进型Mehrotra-Svreck模型和Ghaderi模型预测的黏度值与测量值吻合度较高,能够描述高温高压下Saraline基超轻完井液的黏度特性。与Sarapar基超轻完井液对比后发现,温度对Saraline基超轻完井液黏度的影响更小,压力对Saraline基超轻完井液黏度的影响可以忽略不计,改进型Mehrotra-Svreck模型和Ghaderi模型在各种温度和压力条件下对Saraline基超轻完井液的黏度预测精度优于对Sarapar基超轻完井液的黏度预测。

关键词：高温高压黏度预测超轻完井液 Saraline合成油欠平衡射孔

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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

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