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International Journal of Disaster Risk Science 2022年第3期13卷 342-357页

作者： Ioannis Benekos Evangelos Bekiaris Katarzyna Wodniak Waleed Serhan Łukasz Sułkowski Hana Gharrad ansar Yasar Centre for Research&Technology Hellas(CERTH) Hellenic Institute of Transport(HIT)15125MarousiGreece Department of Management University of Social SciencesWarsaw00-842WarsawPoland Transportation Research Institute(IMOB) Hasselt University3590DiepenbeekBelgium

Nowadays,resilience has become an indispensable term in several aspects and areas of research and *** consensus on what actually constitutes"resilience,""community,"and"community resilience"is still a task that guarantees a vivid exchange of opinions,sometimes escalating into debates,both in the scientific community and among *** out how to practically apply resilience principles goes even a step *** study attempts to circumvent the need for a universal agreement on the definition of"community resilience,"which may still be immature,if not impossible,at this *** accomplish this by proposing a practical methodological approach with concrete methods on how to agree and implement commonly accepted community resilience principles in the context of technology development and pilot testing for disaster *** proposed approach was developed,tested,and validated in the context of the Horizon 2020 EU-funded project Search and *** aspects of the approach,along with considerations for further improvement and adaptation in different contexts,are addressed in the article.

关键词： Community resilience Crisis management Disaster preparedness and response Disaster risk management Search and rescue

Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks

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Computer Systems Science & Engineering 2023年第1期44卷 845-858页

作者： Muhammad Shahzeb Ali Ali Alqahtani ansar Munir Shah Adel Rajab Mahmood Ul Hassan Asadullah Shaikh Khairan Rajab Basit Shahzad Department of Computer Science Institute of Southern PunjabMultan5932Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajran61441Saudi Arabia Department of Engineering National University of Modern LanguagesIslamabad44000Pakistan

Throughout the use of the small battery-operated sensor nodes encou-rage us to develop an energy-efficient routing protocol for wireless sensor networks(WSNs).The development of an energy-efficient routing protocol is a mainly adopted technique to enhance the lifetime of *** routing protocols are available,but the issue is still *** is one of the most important techniques in the existing routing *** the clustering-based model,the important thing is the selection of the cluster *** this paper,we have proposed a scheme that uses the bubble sort algorithm for cluster head selection by considering the remaining energy and the distance of the nodes in each ***,the bubble sort algorithm chose the two nodes with the maximum remaining energy in the cluster and chose a cluster head with a small *** proposed scheme performs hierarchal routing and direct routing with some energy *** simulation will be performed in MATLAB to justify its performance and results and compared with the ECHERP model to justify its ***,the simulations will be performed in two scenarios,gate-way-based and without gateway to achieve more energy-efficient results.

关键词： Bubble sort algorithm gateway energy thresholds wireless sensor networks

Molecular Structure of (1-Benzyl-4-phenyl-1H-1,2,3-triazol-5-yl)(4-bromophenyl) methanone: A Combined Experimental and Theoretical Study

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Chinese Journal of Structural Chemistry 2014年第12期33卷 1749-1756页

作者： MUHAMMAD Naeem Ahmed IFZAN Arshad WANG Bo SHAHID Hameed BILAL Ahmad khan KHAWAJA ansar Yasin MUHAMMAD Moazzam Naseer Department of Chemistry The University of Azad Jammu and Kashmir Muzaffarabad 13100 Pakistan Department of Chemistry Quaid-i-Azam University Islamabad 45320 Pakistan Department of Chemistry Tsinghua University

One-pot three component reaction was used to synthesize 1,4,5-trisubstituted 1,2,3-triazole(A) from the corresponding acid chloride, benzyl azide and 1-copper(I) phenylethyne. The molecular structure was determined by single-crystal X-ray analysis. The compound crystallizes in the orthorhombic space group Pbca, a = 14.9815(14), b = 9.6496(10), c = 25.528(2) A, Z = 8. Furthermore, crystal packing demonstrated a molecular wall-like structure based on supramolecular chains of A, stabilized by CH···O, CH···Br, N···C and CH···π interactions. Molecular geometry in the ground state has been determined by density functional theory(DFT) by B3LYP/6-311G* basis set and compared with the experimental data. The computed vibrational frequencies are compared with the experimental FT-IR data and frontier molecular orbital analyses were performed at the same level of theory. Theoretical parameters are in good agreement with the corresponding X-ray diffraction values.

关键词： synthesis 1,2,3-triazole crystal structure molecular packing optimization

A Trailblazing Framework of Security Assessment for Traffic Data Management

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Intelligent Automation & Soft Computing 2023年第8期37卷 1853-1875页

作者： Abdulaziz Attaallah Khalil al-Sulbi Areej Alasiry Mehrez Marzougui Neha Yadav Syed Anas ansar Pawan Kumar Chaurasia Alka Agrawal Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Al-Qunfudah Computer CollegeUmm Al-Qura UniversityMeccaSaudi Arabia College of Computer Science King Khalid UniversityAbha61421Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Computer Applications Babu Banarasi Das UniversityLucknow226028Uttar PradeshIndia

Connected and autonomous vehicles are seeing their dawn at this *** provide numerous benefits to vehicle owners,manufacturers,vehicle service providers,insurance companies,*** vehicles generate a large amount of data,which makes privacy and security a major challenge to their *** complicated machine-led mechanics of connected and autonomous vehicles increase the risks of privacy invasion and cyber security violations for their users by making them more susceptible to data exploitation and vulnerable to cyber-attacks than any of their *** could have a negative impact on how well-liked CAVs are with the general public,give them a poor name at this early stage of their development,put obstacles in the way of their adoption and expanded use,and complicate the economic models for their future *** the other hand,congestion is still a bottleneck for traffic management and *** research paper presents a blockchain-based framework that protects the privacy of vehicle owners and provides data security by storing vehicular data on the blockchain,which will be used further for congestion detection and *** devices placed along the road are used to communicate with passing cars and collect their *** collected data will be compiled periodically to find the average travel time of vehicles and traffic density on a particular road ***,this data will be stored in the memory pool,where other devices will also store their *** a predetermined amount of time,the memory pool will be mined,and data will be uploaded to the blockchain in the form of blocks that will be used to store traffic *** information is then used in two different ***,the blockchain’s final block will provide real-time traffic data,triggering an intelligent traffic signal system to reduce ***,the data stored on the blockchain will provide historical,statistical data that can facilitate the

关键词： Connected and autonomous vehicles(CAVs) traffic data management ethereum blockchain road side units smart cities

A Lightweight Approach for Skin Lesion Detection Through Optimal Features Fusion

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Computers, Materials & Continua 2022年第1期70卷 1617-1630页

作者： Khadija Manzoor Fiaz Majeed ansar Siddique Talha Meraj Hafiz Tayyab Rauf Mohammed A.El-Meligy Mohamed Sharaf Abd Elatty E.Abd Elgawad Department of Information Technology University of GujratGujrat50700Pakistan Department of Software Engineering University of GujratGujrat50700Pakistan Department of Computer Science COMSATS University Islamabad-Wah CampusWah Cantt47040Pakistan Centre for Smart Systems AI and CybersecurityStaffordshire UniversityStoke-on-TrentUK Advanced Manufacturing Institute King Saud UniversityRiyadh11421Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

Skin diseases effectively influence all parts of *** and accurate detection of skin cancer is necessary to avoid significant *** manual detection of skin diseases by dermatologists leads to misclassification due to the same intensity and color ***,an automated system to identify these skin diseases is *** studies on skin disease classification using different techniques have been ***,previous techniques failed to identify multi-class skin disease images due to their similar *** the proposed study,a computer-aided framework for automatic skin disease detection is *** the proposed research,we collected and normalized the datasets from two databases(ISIC archive,Mendeley)based on six Basal Cell Carcinoma(BCC),Actinic Keratosis(AK),Seborrheic Keratosis(SK),Nevus(N),Squamous Cell Carcinoma(SCC),and Melanoma(M)common skin ***,segmentation is performed using deep Convolutional Neural Networks(CNN).Furthermore,three types of features are extracted from segmented skin lesions:ABCD rule,GLCM,and in-depth *** transfer learning is used for deep feature extraction,while a support vector machine(SVM)is used for *** results show that SVM outperformed other studies in terms of accuracy,as AK disease achieved 100%accuracy,BCC 92.7%,M 95.1%,N 97.8%,SK 93.1%,SCC 91.4%with a global accuracy of 95.4%.

关键词： AlexNet CNN GLCM SVMs skin disease

Efficient Energy and Delay Reduction Model for Wireless Sensor Networks

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Computer Systems Science & Engineering 2023年第7期46卷 1153-1168页

作者： Arslan Iftikhar M.A.Elmagzoub ansar Munir Hamad Abosaq Al Salem Mahmood ul Hassan Jarallah Alqahtani Asadullah Shaikh Institute of Southern Punjab Multan60000Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajran61441Saudi Arabia

In every network,delay and energy are crucial for communication and network *** wireless sensor networks,many tiny nodes create networks with high energy consumption and compute routes for better *** Sensor Networks(WSN)is a very complex scenario to compute minimal delay with data aggregation and energy *** this research,we compute minimal delay and energy efficiency for improving the quality of service of any *** proposed work is based on energy and distance parameters as taken dependent variables with data *** aggregation performs on different models,namely Hybrid-Low Energy Adaptive Clustering Hierarchy(H-LEACH),Low Energy Adaptive Clustering Hierarchy(LEACH),and Multi-Aggregator-based Multi-Cast(MAMC).The main contribution of this research is to a reduction in delay and optimized energy solution,a novel hybrid model design in this research that ensures the quality of service in *** model includes a whale optimization technique that involves heterogeneous functions and performs optimization to reach optimized *** cluster head selection,Stable Election Protocol(SEP)protocol is used and Power-Efficient Gathering in Sensor Information Systems(PEGASIS)is used for driven-path in *** results evaluate that H-LEACH provides minimal delay and energy consumption by sensor *** the comparison of existing theories and our proposed method,HLEACH is providing energy and delay reduction and improvement in quality of *** 2019 is used for simulation work.

关键词： Data aggregation wireless sensor network energy efficiency quality of services delay reduction

Data-Driven Models for Predicting Solar Radiation in Semi-Arid Regions

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Computers, Materials & Continua 2023年第1期74卷 1625-1640页

作者： Mehdi Jamei Nadjem Bailek Kada Bouchouicha Muhammed A.Hassan Ahmed Elbeltagi Alban Kuriqi Nadhir Al-ansar Javier Almorox El-Sayed M.El-kenawy Engineering Faculty Shohadaye Hoveizeh Campus of TechnologyShahid Chamran University of AhvazDashte AzadeganIran Energies and Materials Research Laboratory Department of Matter SciencesFaculty of Sciences and TechnologyUniversity of TamanghassetTamanghassetAlgeria Unitéde Recherche en Energies Renouvelables en Milieu Saharien(URERMS) Centre de Développement des Energies Renouvelables(CDER)01000AdrarAlgeria Mechanical Power Engineering Department Faculty of EngineeringCairo UniversityGiza12613GizaEgypt Agricultural Engineering Department Faculty of AgricultureMansoura UniversityMansoura35516Egypt CERIS Instituto Superior TécnicoUniversidade de LisboaLisbonPortugal Department of Civil Environmental and Natural Resources EngineeringLulea University of Technology97187LuleaSweden Universidad Politécnica de Madrid UPMAvd.Puerta de Hierro28040MadridSpain Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Solar energy represents one of themost important renewable energy sources contributing to the energy transition *** that the observation of daily global solar radiation(GSR)is not affordable in some parts of the globe,there is an imperative need to develop alternative ways to predict ***,the main objective of this study is to evaluate the performance of different hybrid data-driven techniques in predicting daily GSR in semi-arid regions,such as the majority of Spanish ***,four ensemble-based hybrid models were developed by hybridizing Additive Regression(AR)with Random Forest(RF),Locally Weighted Linear Regression(LWLR),Random Subspace(RS),and *** base algorithms of the developed models are scarcely applied in previous studies to predict solar *** testing phase outcomes demonstrated that the ARRF models outperform all other hybrid *** provided models were validated by statisticalmetrics,such as the correlation coefficient(R)and root mean square error(RMSE).The results proved that Scenario#6,utilizing extraterrestrial solar radiation,relative humidity,wind speed,and mean,maximum,and minimum ambient air temperatures as the model inputs,leads to the most accurate predictions among all scenarios(R=0.968–0.988 and RMSE=1.274–1.403 MJ/m^(2)・d).Also,Scenario#3 stood in the next rank of accuracy for predicting the solar radiation in both validating *** AD-RF model was the best predictive,followed by AD-RS and ***,this study recommends new effective methods to predict GSR in semiarid regions.

关键词： Solar radiation prediction random forest locally-weighted linear regression additive regression

Synthesis and Structural Investigations of New 4-Hexyl-1-(4-nitrophenyl)-1-H-1,2,3-triazole:An Experimental and Theoretical Insight

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Chinese Journal of Structural Chemistry 2015年第12期34卷 1830-1840页

作者： MUHAMMAD Naeem Ahmed KHAWAJA ansar Yasin TARIQ Mahmood FATIMA Wasim MUHAMMAD Haleem khan M.NAWAZ Tahir SAFEENA Zafar SHAISTA Anjum Department of Chemistry The University of Azad Jammu and Kashmir Department of Chemistry COMSATS Institute of Information Technology Department of Chemistry Women University Bagh Azad Kashmir Department of Physics University of Sargodha

The title compound, 4-hexyl-1-（4-nitrophenyl）-1-H-1,2,3-triazole （CI4HIsN402）, was synthesized using one-pot strategy via click reaction and the structure was characterized mainly by single-crystal X-ray diffraction, NMR, FT-IR and MS. C14H18N4O2 was crystallized from an EtOH/EtOAc solution in triclinic system, space group PI, with a = 5.3679（3）, b = 7.5499（5）, c = 17.5534（11） A, a = 92.360（4）, β = 90.359（4）, γ = 98.864（4）°, V （A3） = 702.24（8）, Z = 2, crystal size （mm） = 0.42 × 0.26 × 0.18, Rint = 0.096. Packing diagram indicates that there is dimeric interaction between two units via N（3）...H（6）. The crystal structure of the title compound （1） is stabifized by intermolecular interactions. In addition, X-ray analys!s also reveals C-H…π and π-π interactions in the molecule. Theoretical investigations were performed by using Gaussian 09 software at the B3LYP/6, 31G （d,p）level of density,finctional theory （DFT）.to compare the theoretical results with the experimental and to probe structural properties. The molecular electrostatic potential （MEP） mapped over the entire stabilized geometry of the molecule indicated their chemical reactivities. Furthermore, frontier molecular orbital （electronic properties） was computed at the same level of DFT as used. forenergy minima structure.

关键词： click chemistry disubstituted triazole X-ray DFT MEP frontier molecurar orbital

EARLY CATARACT DETECTION BY DYNAMIC LIGHT SCATTERING WITH SPARSE BAYESIAN LEARNING

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Journal of Innovative Optical Health Sciences 2009年第3期2卷 303-313页

作者： SU-LONG NYEO RAFAT R.ansar Department of Physics National Cheng Kung University TainanTaiwan 701ROC Bioscience and Technology Branch NASA Glenn Research Center at Lewis Field 21000 Brookpark Road ClevelandOH 44135USA

Dynamic light scattering(DLS)is a promising technique for early cataract detection and for studying cataractogenesis.A novel probabilistic analysis tool,the sparse Bayesian learning(SBL)algorithm,is described for reconstructing the most-probable size distribution ofα-crystallin and their aggregates in an ocular lens from the DLS *** performance of the algorithm is evaluated by analyzing simulated correlation data from known distributions and DLS data from the ocular lenses of a fetal calf,a Rhesus monkey,and a man,so as to establish the required efficiency of the SBL algorithm for clinical studies.

关键词： Cataract dynamic light scattering diagnostic algorithm sparse Bayesian learning(SBL).

Enviro-Friendly Synthesis of Silver Nanoparticles Using Berberis lycium Leaf Extract and Their Antibacterial Efficacy

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Acta Metallurgica Sinica(English Letters) 2014年第1期27卷 75-80页

作者： ansar Mehmood Ghulam Murtaza Tariq Mahmood Bhatti Rehana Kausar Department of Botany University of Azad Jammu and Kashmir (UAJK)Muzaffarabad-13100Pakistan Department of Chemical and Material Engineering Pakistan Institute of Engineering and Applied Sciences(PIEAS)Islamabad-45650Pakistan

In the present study, an enviro-friendly synthesis of silver nanoparticles from Berberis lycium Royle leaf extract and their antibacterial efficacy against five pathogenic bacteria were investigated. This biosynthesis technique is proved to be advantageous over physical and chemical methods as no toxic chemicals are used. The structural and morphological characterization was made by UV-visible spectroscopy, scanning electron microscopy, and transmission electron microscopy. The synthesized nanoparticles were oval, rectangular, and spherical in shape, size ranges from 8 to 100 nm and exhibited an absorption peak at 458 nm. The biosynthesized silver nanoparticles have shown good antibacterial effect toward tested bacteria. It is believed that these biosynthesized silver nanoparticles can play a vital role in nano-based products in future.

关键词： Antibacterial Berberis lycium Enviro-friendly Silver nanoparticles