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Application of machine learning algorithms to predict tubing pressure in intermittent gas lift wells

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Petroleum Research 2022年第2期7卷 246-252页

作者： Nagham Amer sami Department of Petroleum Engineering Faculty of Earth ScienceUniversity of Miskolc3515MiskolcHungary

Tubing pressure at gas injection depth in intermittent wells is one of the most critical parameters for production engineers to evaluate the performance of the ***,monitoring of the tubing pressure is not usually carried out in real *** has been realized that the generally used correlations are not effective enough due to complexity of the intermittent process which involve many parameters and assumptions to develop such *** focus of this study is to utilize machine learning(ML)algorithms to develop a model that can accurately predict tubing pressure in artificial intermittent gas lift *** algorithms built on the field data provide a solution that is easy to use and universally applicable to the complex *** non-linear regression ML methods are employed in this study,namely,Decision Tree-regression(DT),Random Forest-regression(RF)and K Nearest Neighbors-regression(KNN).All the tubing pressures obtained from ML models were compared with the actual values to ensure the effectiveness of the *** developed models show that it can predict the pressure with more than 99.9%*** is an interesting result,as such outcome accuracy has not been reported usually in the open literature.

关键词： Machine learning Artificial intelligence Intermittent gas lift Tubing pressure Random forest Decision tree KNN

Impact of Seawater Irrigation on seed germination and seedling growth of Ten Bread Wheat(Triticum aestivum L.)Genotypes

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Life Research 2024年第2期7卷 32-37页

作者： sami Mohammed Salih Ahmed Amrajaa Abdulrraziq Department of Biology Faculty of EducationOmar Al-Mukhtar UniversityAl-BaydaLibya

Objective:Seawater leakage in Al-Jabal Al-Akhdar East Libya's coastal areas is one of the most biggest obstacles to farmers obtaining a highly productive *** a result,the experiment was conducted in a laboratory to find out the impact of irrigation with seawater on the salt tolerance of Acsad Bread wheat ***:Ten genotypes(1398,1492,1514,1522,1524,1536,1538,1544,1550,and 1562),obtained from the Arab Center for the Studies of Arid Zones and Dry Lands Acsad,were used in the study,10 seeds of each genotype with three repetitions were germinated under four seawater concentrations(10,20,30 and 40%).Results:The results showed that there were highly significant(P≤0.05)differences in the genotypes’response to all salinity concentrations,Which led to decreasing germination percentage,delaying the average germination time,and decreasing radical/plumule length and seedling fresh/dry weight compared with a *** noted genotypes(1524,1522 and 1514)were able to germinate in all concentrations of seawater,and gave the best average for all the studied ***,the study indicated that a concentration of seawater of 40%was the most toxic for all wheat *** results of this study categorize the wheat genotypes into tolerant genotypes(1524,1522 and 1514),moderate tolerant(1492,1536),and sensitive(1398,1538,1544,1550 and 1562).Conclusion:The results concluded that the possibility of wheat crops agriculture into tolerant in Libyan coastal locations in which seawater concentration did not exceed 30%.

关键词： acsad bread wheat Libyan coastal locations salinity tolerance seawater irrigation

Prodigiosin from Serratia:Synthesis and potential applications

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Asian Pacific Journal of Tropical Biomedicine 2022年第6期12卷 233-242页

作者： sami Mnif Marwa Jardak Brahim Bouizgarne sami Aifa Laboratory of Molecular and Cellular Screening Processes Centre of Biotechnology of SfaxUniversity of SfaxPO box 1177Road Sidi Mansour km 63018 SfaxTunisia Laboratory"Plant Biotechnology" Department of BiologyFaculty of SciencesUniversity Ibn ZohrB.P 810680000 AgadirMorocco

Prodigiosin is a red pigment with a pyrrolylpyrromethane *** is mainly produced by bacterial strains belonging to the Serratia genus,but also by some other genera,including Streptomyces and *** the genus Serratia,the pigment is generally produced as a virulence ***,it also has many important beneficial biological activities such as immunosuppressive and anti-proliferative ***,the pigment has many industrial applications in textile and *** this mini-review,we discuss the genetic and molecular mechanisms supporting prodigiosin synthesis and production from the Serratia genus,as well as its potential applications.

关键词： Prodigiosin Serratia Synthesis Metabolites Biological activities Applications Antimicrobial Anti-proliferative

SIMAD:Secure Intelligent Method for IoT-Fog Environments Attacks Detection

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Computers, Materials & Continua 2022年第2期70卷 2727-2742页

作者： Wided Ben Daoud sami Mahfoudhi NTS’Com Research Unit SfaxTunisia Department of MIS CBEQassim UniversityBuraidahAl QassimKSA

The Internet of Thing IoT paradigm has emerged in numerous domains and it has achieved an exponential ***,alongside this advancement,IoT networks are facing an ever-increasing rate of security risks because of the continuous and rapid changes in network *** order to overcome these security challenges,the fog system has delivered a powerful environment that provides additional resources for a more improved data ***,because of the emerging of various breaches,several attacks are ceaselessly emerging in IoT and Fog ***,the new emerging applications in IoT-Fog environment still require novel,distributed,and intelligent security models,controls,and *** addition,the ever-evolving hacking techniques and methods and the expanded risks surfaces have demonstrated the importance of attacks detection *** proves that even advanced solutions face difficulties in discovering and recognizing these small variations of *** fact,to address the above problems,Artificial Intelligence(AI)methods could be applied on the millions of terabytes of collected information to enhance and optimize the processes of IoT and fog *** this respect,this research is designed to adopt a new security scheme supported by an advanced machine learning algorithm to ensure an intelligent distributed attacks detection and a monitoring process that detects malicious attacks and updates threats signature databases in IoTFog *** evaluated the performance of our distributed approach with the application of certain machine *** experiments show that the proposed scheme,applied with the Random Forest(RF)is more efficient and provides better accuracy(99.50%),better scalability,and lower false alert *** this regard,the distribution character of our method brings about faster detection and better learning.

关键词： Attack detection Fog IoT network machine learning distributed mechanism

Dynamic Audio-Visual Biometric Fusion for Person Recognition

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Computers, Materials & Continua 2022年第4期71卷 1283-1311页

作者： Najlaa Hindi Alsaedi Emad sami Jaha Department of Computer Science Faculty of Computer Science and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

Biometric recognition refers to the process of recognizing a person’s identity using physiological or behavioral modalities,such as face,voice,fingerprint,gait,*** biometric modalities are mostly used in recognition tasks separately as in unimodal systems,or jointly with two or more as in multimodal ***,multimodal systems can usually enhance the recognition performance over unimodal systems by integrating the biometric data of multiple modalities at different fusion *** this enhancement,in real-life applications some factors degrade multimodal systems’performance,such as occlusion,face poses,and noise in voice *** this paper,we propose two algorithms that effectively apply dynamic fusion at feature level based on the data quality of multimodal *** proposed algorithms attempt to minimize the negative influence of confusing and low-quality features by either exclusion or weight reduction to achieve better recognition *** proposed dynamic fusion was achieved using face and voice biometrics,where face features were extracted using principal component analysis(PCA),and Gabor filters separately,whilst voice features were extracted using Mel-Frequency Cepstral Coefficients(MFCCs).Here,the facial data quality assessment of face images is mainly based on the existence of occlusion,whereas the assessment of voice data quality is substantially based on the calculation of signal to noise ratio(SNR)as per the existence of *** evaluate the performance of the proposed algorithms,several experiments were conducted using two combinations of three different databases,AR database,and the extended Yale Face Database B for face images,in addition to VOiCES database for voice *** obtained results show that both proposed dynamic fusion algorithms attain improved performance and offer more advantages in identification and verification over not only the standard unimodal algorithms but also the multimodal algorithms using stan

关键词： Biometrics dynamic fusion feature fusion identification multimodal biometrics occluded face recognition quality-based recognition verification voice recognition

Effective Frameworks Based on Infinite Mixture Model for Real-World Applications

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Computers, Materials & Continua 2022年第7期72卷 1139-1156页

作者： Norah Saleh Alghamdi sami Bourouis Nizar Bouguila Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia College of Computers and Information Technology Taif UniversityTaif21944Saudi Arabia The Concordia Institute for Information Systems Engineering(CIISE) Concordia UniversityMontrealQC H3G 1T7Canada

Interest in automated data classification and identification systems has increased over the past years in conjunction with the high demand for artificial intelligence and security *** particular,recognizing human activities with accurate results have become a topic of high *** the current tools have reached remarkable successes,it is still a challenging problem due to various uncontrolled environments and *** this paper two statistical frameworks based on nonparametric hierarchical Bayesian models and Gamma distribution are proposed to solve some realworld *** particular,two nonparametric hierarchical Bayesian models based on Dirichlet process and Pitman-Yor process are *** models are then applied to address the problem of modelling grouped data where observations are organized into groups and these groups are statistically linked by sharing mixture *** choice of the Gamma mixtures is motivated by its flexibility for modelling heavy-tailed *** addition,deploying the Dirichlet process prior is justified by its advantage of automatically finding the right number of components and providing nice ***,a learning step via variational Bayesian setting is presented in a flexible *** priors over the parameters are selected appropriately and the posteriors are approximated effectively in a closed *** results based on a real-life applications that concerns texture classification and human actions recognition show the capabilities and effectiveness of the proposed framework.

关键词： Infinite Gamma mixture model variational Bayes hierarchical Dirichlet process Pitman-Yor process texture classification human action recognition

An Effective Secure MAC Protocol for Cognitive Radio Networks

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Computer Systems Science & Engineering 2022年第7期42卷 133-148页

作者： Bayan Al-Amri Gofran sami Wajdi Alhakami Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science Joint First Year DeanshipUmm Al-Qura UniversityMakkah21955Saudi Arabia

The vast revolution in networking is increasing rapidly along with tech-nology advancements,which requires more effort from all cyberspace profes-sionals to cope with the challenges that come with advanced technology privileges and ***,Cognitive Radio Network is one of the promising approaches that permit a dynamic type of smart network for improving the utili-zation of idle spectrum portions of wireless ***,it is vul-nerable to security threats and attacks and demands security mechanisms to preserve and protect the cognitive radio networks for ensuring a secure commu-nication *** paper presents an effective secure MAC protocol for cognitive radio networks,signiﬁcantly enhancing the security level of the existing DSMCRN and SSMCRN protocols by eliminating the authentication server’s necessity,which can be a single point of failure to compromise the entire network *** proposed protocol has proven to be effective and reliable since it does not rely on a centralized entity for providing the required security for a single pair of cognitive *** protocol also improves the performance in the context of fast switching to data channels leading to higher throughput is achieved compared to the benchmark protocols.

关键词： Cognitive radio networks shared key authentication elliptic curve cryptography throughput

Urban landscape structure anatomy:Structure patterns and typology identification in the space-time of Setif City,Algeria

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Frontiers of Architectural Research 2022年第3期11卷 421-439页

作者： Hodne sami Belmahdi Abderezak Djemili Laboratoire Architecture Urbanisme et Transport:HabitatPaysage et Mobilite Urbaine(LAUTr-HPM)Institut d'Architecture et d’UrbanismeUniversite Batna 1 HadJ LakhdarBatna 05000Algeria Laboratoire Habitat et Environnement(LHE) Departement d’ArchitectureInstitut d’Architecture et des Sciences de la TerreUniversite Ferhat Abbas Setif 1Setif 19000Algeria

The definition of urban form and its elements raises a wide debate in urban *** study presents a proposal to understand the structuring of the urban landscape of Setif City over 170 years(1848-2018)by abstracting its main elements into permanent structure(PSUL).It corresponds to the street network,more static to the change of the town plan,and flexible structure(FSul),more resilient to change and explains the superimpositions of morphological components(plot,building,and land use).This work aims to identify typological patterns of structures suggested in space-time through the inspection of the growth of the street network and the filling of morphological layers framed by the concept of *** methodology is based on syntactic(diachronic)morphogenetic analysis,with statistical analyses as unsupervised *** indicate that PSUL presents an accumulation of microincrements produced with a similar degree of coherence in different urban fabrics,which explain the local patterns of street network *** typology of FSul patterns indicates an unbalanced growth by the arrangement between morphological elements,resulting in a variation in the degree of urbanity.

关键词： Urban landscape structure Permanent structure Flexible structure Patterns

Visual Lip-Reading for Quranic Arabic Alphabets and Words Using Deep Learning

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Computer Systems Science & Engineering 2023年第9期46卷 3037-3058页

作者： Nada Faisal Aljohani Emad sami Jaha Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

The continuing advances in deep learning have paved the way for several challenging *** such idea is visual lip-reading,which has recently drawn many research ***-reading,often referred to as visual speech recognition,is the ability to understand and predict spoken speech based solely on lip movements without using *** to the lack of research studies on visual speech recognition for the Arabic language in general,and its absence in the Quranic research,this research aims to fill this *** paper introduces a new publicly available Arabic lip-reading dataset containing 10490 videos captured from multiple viewpoints and comprising data samples at the letter level(i.e.,single letters(single alphabets)and Quranic disjoined letters)and in the word level based on the content and context of the book Al-Qaida *** research uses visual speech recognition to recognize spoken Arabic letters(Arabic alphabets),Quranic disjoined letters,and Quranic words,mainly phonetic as they are recited in the Holy Quran according to Quranic study aid entitled Al-Qaida *** study could further validate the correctness of pronunciation and,subsequently,assist people in correctly reciting ***,a detailed description of the created dataset and its construction methodology is *** new dataset is used to train an effective pre-trained deep learning CNN model throughout transfer learning for lip-reading,achieving the accuracies of 83.3%,80.5%,and 77.5%on words,disjoined letters,and single letters,respectively,where an extended analysis of the results is ***,the experimental outcomes,different research aspects,and dataset collection consistency and challenges are discussed and concluded with several new promising trends for future work.

关键词： Visual speech recognition lip-reading deep learning quranic Arabic dataset Tajwid