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Adaptive neural network observer for proton-exchange membrane fuel cell system

Clean Energy 2023年第5期7卷 1078-1090页

作者： Abdelaziz El Aoumari Hamid Ouadi jamal El-Bakkouri Fouad Giri ERERA National School of Arts and CraftsMohammed V UniversityRabatMorocco LESE Lab ENSEMHassan II UniversityCasablancaMorocco Normandie University UNICAENENSICAENLAC14000 CaenFrance

This paper develops an adaptive neural network(NN)observer for proton-exchange membrane fuel cells(PEMFCs).Indeed,information on the oxygen excess ratio(OER)value is crucial to ensure optimal management of the durability and reliability of the *** OER indicator is computed from the mass of oxygen and nitrogen inside the PEMFC ***,the measurement process of both these masses is difficult and *** solve this problem,the design of a PEMFC state observer is ***,the behaviour of the fuel cell system is highly non-linear and its modelling is *** to this constraint,a multilayer perceptron neural network(MLPNN)-based observer is proposed in this paper to estimate the oxygen and nitrogen *** notable advantage of the suggested MLPNN observer is that it does not require a database to train the ***,the weights of the NN are updated in real time using the output *** addition,the observer parameters,namely the learning rate and the damping factor,are online adapted using the optimization tools of extremum ***,the proposed observer stability analysis is performed using the Lyapunov *** observer performances are validated by simulation under MATLAB®/Simulink®.The supremacy of the proposed adaptive MLPNN observer is highlighted by comparison with a fixed-parameter MLPNN observer and a classical high-gain observer(HGO).The mean rela-tive error value of the excess oxygen rate is considered the performance index,which is equal to 1.01%for an adaptive MLPNN and 3.95%and 9.95%for a fixed MLPNN and HGO,***,a robustness test of the proposed observer with respect to measurement noise is performed.

关键词： fuel cell system(PEMFC) multilayer perceptron neural network(MLPNN)observer optimization extremum seeking(ES) oxygen excess ratio(OER)

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FPGA Implementation of Elliptic-Curve Diffie Hellman Protocol

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Computers, Materials & Continua 2022年第10期73卷 1879-1894页

作者： Sikandar Zulqarnain Khan Sajjad Shaukat jamal Asher Sajid Muhammad Rashid Department of Aeronautical Engineering Estonian Aviation AcademyTartu61707Estonia Department of Mathematics College of ScienceKing Khalid UniversityAbha61413Saudi Arabia Department of Electrical Engineering Bahria UniversityIslamabad44000Pakistan Department of Computer Engineering Umm Al-Qura UniversityMakkah21955Saudi Arabia

This paper presents an efficient crypto processor architecture for key agreement using ECDH(Elliptic-curve Diffie Hellman)protocol over GF2163.The composition of our key-agreement architecture is expressed in consisting of the following:(i)Elliptic-curve Point Multiplication architecture for public key generation(DESIGN-I)and(ii)integration of DESIGN-I with two additional routing multiplexers and a controller for shared key generation(DESIGN-II).The arithmetic operators used in DESIGN-I and DESIGNII contain an adder,squarer,a multiplier and inversion.A simple shift and add multiplication method is employed to retain lower hardware ***,an essential inversion operation is operated using the Itoh-Tsujii algorithm with similar hardware resources of used squarer and multiplier *** proposed architecture is implemented in a Verilog *** implementation results are given on a Xilinx Virtex-7 FPGA(field-programmable gate array)*** DESIGN-I and DESIGN-II over GF2163,(i)the utilized Slices are 3983 and 4037,(ii)the time to compute one public key and a shared secret is 553.7μs and 1170.7μs and(iii)the consumed power is 29μW and 57μ***,the achieved area optimized and power reduced results show that the proposed ECDH architecture is a suitable alternative(to generate a shared secret)for the applications that require low hardware resources and power consumption.

关键词： Elliptic curve cryptography point multiplication key-agreement diffie hellman area optimized architecture FPGA

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Solar energy technology and its roles in sustainable development

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Clean Energy 2022年第3期6卷 476-483页

作者： Ali O.M.Maka jamal M.Alabid The Libyan Centre for Research and Development of Sahrain Communities MourzuqLibya Robert Gordon University School of Architecture and Built EnvironmentGarthdee HouseGarthdee RoadAberdeenAB107QBUK Faculty of Engineering Civil&Structural Engineering-University of BradfordBradfordUK

Solar energy is environmentally friendly technology,a great energy supply and one of the most significant renewable and green energy *** plays a substantial role in achieving sustainable development energy ***,the massive amount of solar energy attainable daily makes it a very attractive resource for generating *** technologies,applications of concentrated solar power or solar photovoltaics,are always under continuous development to fulfil our energy ***,a large installed capacity of solar energy applications worldwide,in the same context,supports the energy sector and meets the employment market to gain sufficient *** paper highlights solar energy applications and their role in sustainable development and considers renewable energy’s overall employment ***,it provides insights and analysis on solar energy sustainability,including environmental and economic ***,it has identified the contributions of solar energy applications in sustainable development by providing energy needs,creating jobs opportunities and enhancing environmental ***,the perspective of solar energy technology is drawn up in the application of the energy sector and affords a vision of future development in this domain.

关键词： solar energy sustainable development solar energy applications perspective of solar energy

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Phenol contaminated municipal wastewater treatment using date palm frond biochar:Optimization using response surface methodology

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Emerging Contaminants 2023年第1期9卷 53-67页

作者： Yohanna Haile Fseha jamal Shaheen Banu Sizirici Department of Civil Infrastructure and Environmental Engineering Khalifa University of Science and TechnologyP.O.Box 127788Abu DhabiUnited Arab Emirates

Phenol is classified as an emerging contaminant which can be very toxic even at low concentrations and should be removed from wastewaters before reaching the *** this study date palm frond and leaf were pyrolyzed at different temperatures to identify the best adsorbent(feedstock)and pyrolysis temperature to remove phenol from aqueous *** palm frond pyrolyzed at 600℃,termed DPF600,achieved the highest phenol removal rates of 64%and adsorption capacity of 15.93 mg/*** surface methodology approach using Box-Behnken design was implemented to obtain the optimal pH(6),contact time(20 h)and dosage(0.1 g)for the maximum phenol adsorption.A predicted adsorption capacity was found as 16.62 mg/g which was in close agreement with the experimental adsorption capacity of 17.38 mg/*** and kinetic models in both linear and non-linear forms indicated that Freundlich model(R^(2)=0.99,χ^(2)=0.02,RMSE=1.09)and pseudo-second order model(R^(2)=0.99,χ^(2)=0.85,RMSE=5.41)fit best the obtained experimental *** calculations affirmed that the adsorption of phenol onto DPF600 biochar was endothermic and *** point of zero charge was found to be at 6.5 for DPF600 *** electron microscopy coupled with energy dispersive X-ray,Fourier transform infrared spectroscopy and X-ray diffraction confirmed adsorption of phenol onto DPF600 *** of DPF600 biochar to remove phenol from synthetic primary and secondary treated wastewater samples achieved 60 and 85%removal rates and 241 mg/g and 22.28 mg/g adsorption capacities,*** studies showed promising adsorption capacities indicating the efficacy of DPF600 for the removal of phenol from wastewater.

关键词： Phenol contaminated wastewater Date palm frond Biochar Box-behnken design Response surface methodology Adsorption capacity

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Deep Learning-Based Approach for Arabic Visual Speech Recognition

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Computers, Materials & Continua 2022年第4期71卷 85-108页

作者： Nadia H.Alsulami Amani T.jamal Lamiaa A.Elrefaei Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical Engineering Department Faculty of Engineering at ShoubraBenha UniversityCairo11629Egypt

Lip-reading technologies are rapidly progressing following the breakthrough of deep *** plays a vital role in its many applications,such as:human-machine communication practices or security *** this paper,we propose to develop an effective lip-reading recognition model for Arabic visual speech recognition by implementing deep learning *** Arabic visual datasets that have been collected contains 2400 records of Arabic digits and 960 records of Arabic phrases from 24 native *** primary purpose is to provide a high-performance model in terms of enhancing the preprocessing ***,we extract keyframes from our ***,we produce a Concatenated Frame Images(CFIs)that represent the utterance sequence in one single ***,the VGG-19 is employed for visual features extraction in our proposed *** have examined different keyframes:10,15,and 20 for comparing two types of approaches in the proposed model:(1)the VGG-19 base model and(2)VGG-19 base model with batch *** results show that the second approach achieves greater accuracy:94%for digit recognition,97%for phrase recognition,and 93%for digits and phrases recognition in the test ***,our proposed model is superior to models based on CFIs input.

关键词： Convolutional neural network deep learning lip reading transfer learning visual speech recognition

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A Building Classification System for Multi-hazard Risk Assessment

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International Journal of Disaster Risk Science 2022年第2期13卷 161-177页

作者： Vitor Silva Svetlana Brzev Charles Scawthorn Catalina Yepes jamal Dabbeek Helen Crowley Risk Section Global Earthquake Model27100 PaviaItaly Department of Civil Engineering University of British ColumbiaVancouverBC V6T 1Z4Canada SPA Risk LLC DenverCO 80207USA Department of Civil Engineering An-Najah National UniversityNablusState of Palestine Seismic Risk Section 27100 EucentrePaviaItaly

A uniform and comprehensive classification system, often referred to as taxonomy, is fundamental for the characterization of building portfolios for natural hazard risk assessment. A building taxonomy characterizes assets according to attributes that can influence the likelihood of damage due to the effects of natural *** the scope of the Global Earthquake Model(GEM)initiative, a building taxonomy(GEM Building Taxonomy V2.0) was developed with the goal of classifying buildings according to their seismic vulnerability. This taxonomy contained 13 building attributes, including the main material of construction, lateral load-resisting system, date of construction and number of stories. Since its release in2012, the taxonomy has been used by hundreds of experts working on exposure and risk modeling efforts. These applications allowed the identification of several limitations, which led to the improvement and expansion of this taxonomy into a new classification system compatible with multi-hazard risk assessment. This expanded taxonomy(named GED4ALL) includes more attributes and several details relevant for buildings exposed to natural hazards beyond earthquakes. GED4ALL has been applied in several international initiatives, enabling the identification of the most common building classes in the world, and facilitating compatibility between exposure models and databases of vulnerability and damage databases.

关键词： Disaster risk Exposure Multihazard Taxonomy

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Traffic Sign Detection with Low Complexity for Intelligent Vehicles Based on Hybrid Features

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Computers, Materials & Continua 2023年第7期76卷 861-879页

作者： Sara Khalid jamal Hussain Shah Muhammad Sharif Muhammad Rafiq Gyu Sang Choi Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Game and Mobile Engineering Keimyung UniversityDaegu42601Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Globally traffic signs are used by all countries for healthier traffic flow and to protect drivers and ***,traffic signs have been of great importance for every civilized country,which makes researchers give more focus on the automatic detection of traffic *** these traffic signs is challenging due to being in the dark,far away,partially occluded,and affected by the lighting or the presence of similar *** innovative traffic sign detection method for red and blue signs in color images is proposed to resolve these *** technique aimed to devise an efficient,robust and accurate *** attain this,initially,the approach presented a new formula,inspired by existing work,to enhance the image using red and green channels instead of blue,which segmented using a threshold calculated from the correlational property of the ***,a new set of features is proposed,motivated by existing *** and color features are fused after getting extracted on the channel of Red,Green,and Blue(RGB),Hue,Saturation,and Value(HSV),and YCbCr color models of ***,the set of features is employed on different classification frameworks,from which quadratic support vector machine(SVM)outnumbered the others with an accuracy of 98.5%.The proposed method is tested on German Traffic Sign Detection Benchmark(GTSDB)*** results are satisfactory when compared to the preceding work.

关键词： Traffic sign detection intelligent systems complexity vehicles color moments texture features

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Central Aggregator Intrusion Detection System for Denial of Service Attacks

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Computers, Materials & Continua 2023年第2期74卷 2363-2377页

作者： Sajjad Ahmad Imran Raza MHasan jamal Sirojiddin Djuraev Soojung Hur Imran Ashraf Department of Computer Science COMSATS University IslamabadLahore CampusLahore54000Pakistan Department of Software Engineering New Uzbekistan UniversityTashkent100007Uzbekistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea

Vehicle-to-grid technology is an emerging field that allows unused power from Electric Vehicles(EVs)to be used by the smart grid through the central *** the central aggregator is connected to the smart grid through a wireless network,it is prone to cyber-attacks that can be detected and mitigated using an intrusion detection ***,existing intrusion detection systems cannot be used in the vehicle-to-grid network because of the special requirements and characteristics of the vehicle-to-grid *** this paper,the effect of denial-of-service attacks of malicious electric vehicles on the central aggregator of the vehicle-to-grid network is investigated and an intrusion detection system for the vehicle-to-grid network is *** proposed system,central aggregator–intrusion detection system(CA-IDS),works as a security gateway for EVs to analyze andmonitor incoming traffic for possible DoS *** are registered with a Central Aggregator(CAG)to exchange authenticated messages,and malicious EVs are added to a blacklist for violating a set of predefined policies to limit their interaction with the CAG.A denial of service(DoS)attack is simulated at CAG in a vehicle-to-grid(V2G)network manipulating various network parameters such as transmission overhead,receiving capacity of destination,average packet size,and channel *** proposed system is compared with existing intrusion detection systems using different parameters such as throughput,jitter,and *** analysis shows that the proposed system has a higher throughput,lower jitter,and higher accuracy as compared to the existing schemes.

关键词： Denial of service attack vehicle to grid network network security network throughput

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Fabrication of graphene oxide-keratin-chitosan nanocomposite as an adsorbent to remove turbidity from tannery wastewater

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Water Science and Engineering 2023年第2期16卷 184-191页

作者： Kobita Roy Thuhin Kumar Dey Mamun jamal Rajasekar Rathanasamy Moganapriya Chinnasamy MdElias Uddin Department of Leather Engineering Faculty of Mechanical EngineeringKhulna University of Engineering&TechnologyKhulna 9203Bangladesh Department of Chemistry Faculty of Civil EngineeringKhulna University of Engineering&TechnologyKhulna 9203Bangladesh Department of Mechanical Engineering Kongu Engineering CollegeErodeTamilnadu 638052India Department of Mining Engineering Indian Institute of Technology KharagpurWest Bengal 721302India

Excessive turbidity in water is aesthetically unappealing and severely malfunctions the photosynthesis process of aquatic ecosystems. This study aimed to evaluate the effectiveness of a nanocomposite adsorbent made of graphene oxide-keratin-chitosan for removing turbidity from tannery influent. The nanocomposite was fabricated with simple solution casting methods. Material dispersibility, bonding between composite materials (amide linkage), and the surface morphology of the nanocomposite were analyzed with the ultraviolet-visible spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction, transmission electron microscopy, and scanning electron microscopy. At pH of 6, 2 g/L of adsorbent and a 25-min contact time resulted in about 88% of turbidity elimination. After the adsorption process, the total suspended solids, total dissolved solids, salinity, biochemical oxygen demand, and chemical oxygen demand of the tannery wastewater were reduced by 55%, 29%, 12%, 58%, and 75%, respectively. The optimum dosage of the nanocomposite with the maximum turbidity removal capacity was 12.62 mg/g. According the adsorption kinetic and isotherm models, the graphene oxide-keratin-chitosan nanocomposite played a key role in the turbidity removal process with chemisorption and electrostatic multilayer adsorption. This study provided methodological and mechanistic insights into the procedures of investigating the removal of turbidity from tannery wastewater with a novel composite material.

关键词： Adsorption Chitosan Electrostatic interaction Nanocomposite Wastewater

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Influence of Vertical Irregularity on the Seismic Behavior of Base Isolated RC Structures with Lead Rubber Bearings under Pulse-Like Earthquakes

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Structural Durability & Health Monitoring 2023年第6期17卷 501-519页

作者： Ali Mahamied Amjad AYasin Yazan Alzubi jamal Al Adwan Issa Mahamied Civil Engineering Department Faculty of Engineering TechnologyAl-Balqa Applied UniversityAmman11134Jordan Civil Engineering Department Faculty of EngineeringThe University of JordanAmman11134Jordan

Nowadays,an extensive number of studies related to the performance of base isolation systems implemented in regular reinforced concrete structures subjected to various types of earthquakes can be found in the *** the other hand,investigations regarding the irregular base-isolated reinforced concrete structures’performance when subjected to pulse-like earthquakes are very *** severity of pulse-like earthquakes emerges from their ability to destabilize the base-isolated structure by remarkably increasing the displacement ***,this study is intended to investigate the effects of pulse-like earthquake characteristics on the behavior of low-rise irregular base-isolated reinforced concrete *** the study scope,investigations related to the impact of the pulse-like earthquake characteristics,irregularity type,and isolator properties will be *** do so,different values of damping ratios of the base isolation system were selected to investigate the efficiency of the lead rubber-bearing *** general,the outcomes of the study have shown the significance of vertical irregularity on the performance of base-isolated structures and the considerable effect of pulse-like ground motions on the buildings’behavior.

关键词： Reinforced concrete low-rise structure vertical irregularity the influence of pulse-like earthquake characteristics lead rubber bearing isolators nonlinear response history analysis

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