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Orbit Weighting Scheme in the Context of Vector Space Information Retrieval

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Computers, Materials & Continua 2024年第7期80卷 1347-1379页

作者： Ahmad Ababneh Yousef Sanjalawe salam Fraihat salam al-e.mari Hamzah alqudah Department of Computer Science Faculty of Information TechnologyAmerican University of MadabaAmman11821Jordan Department of Cybersecurity Faculty of Information TechnologyAmerican University of MadabaAmman11821Jordan Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityP.O.Box 346Ajman13306United Arab Emirates Information Security Department Faculty of Information TechnologyUniversity of PetraAmman11196Jordan Department of Data Science and Artificial Intelligence Faculty of Information TechnologyAmerican University of MadabaAmman11821Jordan

This study introduces the Orbit Weighting Scheme(OWS),a novel approach aimed at enhancing the precision and efficiency of Vector Space information retrieval(IR)models,which have traditionally relied on weighting schemes like tf-idf and *** conventional methods often struggle with accurately capturing document relevance,leading to inefficiencies in both retrieval performance and index size *** proposes a dynamic weighting mechanism that evaluates the significance of terms based on their orbital position within the vector space,emphasizing term relationships and distribution patterns overlooked by existing *** research focuses on evaluating OWS’s impact on model accuracy using Information Retrieval metrics like Recall,Precision,InterpolatedAverage Precision(IAP),andMeanAverage Precision(MAP).Additionally,we assessOWS’s effectiveness in reducing the inverted index size,crucial for model *** compare OWS-based retrieval models against others using different schemes,including tf-idf variations and *** reveal OWS’s superiority,achieving a 54%Recall and 81%MAP,and a notable 38%reduction in the inverted index *** highlights OWS’s potential in optimizing retrieval processes and underscores the need for further research in this underrepresented area to fully leverage OWS’s capabilities in information retrieval methodologies.

关键词： Information retrieval orbit weighting scheme semantic text analysis Tf-Idf weighting scheme vector space model

Cloud Datacenter Selection Using Service Broker Policies:A Survey

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Computer Modeling in engineering & Sciences 2024年第4期139卷 1-41页

作者： salam al-e.mari Yousef Sanjalawe Ahmad al-Daraiseh Mohammad Bany Taha Mohammad aladaileh Department of Information Security Faculty of ITUniversity of PetraAmman11196Jordan Department of Cybersecurity School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Computer Science School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Data Science and Artificial Intelligence School of ITAmerican University of Madaba(AUM)Amman11821Jordan

Amid the landscape of Cloud Computing(CC),the Cloud Datacenter(DC)stands as a conglomerate of physical servers,whose performance can be hindered by bottlenecks within the realm of proliferating CC services.A linchpin in CC’s performance,the Cloud Service Broker(CSB),orchestrates DC *** to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck,endangering service *** tackle this,deploying an efficient CSB policy becomes imperative,optimizing DC selection to meet stringent Qualityof-Service(QoS)*** numerous CSB policies,their implementation grapples with challenges like costs and *** article undertakes a holistic review of diverse CSB policies,concurrently surveying the predicaments confronted by current *** foremost objective is to pinpoint research gaps and remedies to invigorate future policy ***,it extensively clarifies various DC selection methodologies employed in CC,enriching practitioners and researchers *** synthetic analysis,the article systematically assesses and compares myriad DC selection *** analytical insights equip decision-makers with a pragmatic framework to discern the apt technique for their *** summation,this discourse resoundingly underscores the paramount importance of adept CSB policies in DC selection,highlighting the imperative role of efficient CSB policies in optimizing CC *** emphasizing the significance of these policies and their modeling implications,the article contributes to both the general modeling discourse and its practical applications in the CC domain.

关键词： Cloud computing cloud service broker datacenter selection quality-of-service user request

Intrusion Detection Systems Using Blockchain Technology: A Review, Issues and Challenges

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Computer Systems Science & engineering 2022年第1期40卷 87-112页

作者： salam al-e.mari Mohammed Anbar Yousef Sanjalawe Selvakumar Manickam Iznan Hasbullah National Advanced IPv6 Centre of excellence(NAv6) Universiti Sains Malaysia11800 USMPenangMalaysia Computer Sciences Department Northern Border University(NBU)9280 NBUAr’arthe Kingdom of Saudi Arabia

Intrusion detection systems that have emerged in recent decades can identify a variety of malicious attacks that target networks by employing several detection ***,the current approaches have challenges in detecting intrusions,which may affect the performance of the overall detection system as well as network *** the time being,one of the most important creative technological advancements that plays a significant role in the professional world today is blockchain *** technology moves in the direction of persistent revolution and *** is a chain of blocks that covers information and maintains trust between individuals no matter how far apart they ***,blockchain was integrated into intrusion detection systems to enhance their overall *** has also been adopted in health-care,supply chain management,and the Internet of *** uses robust cryptography with private and public keys,and it has numerous properties that have leveraged security’s performance over peer-to-peer networks without the need for a third *** explore and highlight the importance of integrating blockchain with intrusion detection systems,this paper provides a comprehensive background of intrusion detection systems and blockchain ***,a comprehensive review of emerging intrusion detection systems based on blockchain technology is ***,this paper suggests important future research directions and trending topics in intrusion detection systems based on blockchain technology.

关键词： Blockchain intrusiondetectionsystem networksecurity maliciousattacks

Cloud Data Center Selection Using a Modified Differential evolution

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Computers, Materials & Continua 2021年第12期69卷 3179-3204页

作者： Yousef Sanjalawe Mohammed Anbar salam al-e.mari Rosni Abdullah Iznan Hasbullah Mohammed aladaileh National Advanced IPv6 Center(NAv6) Universiti Sains Malaysia11800 USMPenangMalaysia Computer Science Department PY CollageNorthern Border University(NBU)9280 NBUAr’arKingdom of Saudi Arabia

The interest in selecting an appropriate cloud data center is exponentially increasing due to the popularity and continuous growth of the cloud computing *** data center selection challenges are compounded by ever-increasing users’requests and the number of data centers required to execute these *** service broker policy defines cloud data center’s selection,which is a case of an NP-hard problem that needs a precise solution for an efficient and superior *** evolution algorithm is a metaheuristic algorithm characterized by its speed and robustness,and it is well suited for selecting an appropriate cloud data *** paper presents a modified differential evolution algorithm-based cloud service broker policy for the most appropriate data center selection in the cloud computing *** differential evolution algorithm is modified using the proposed new mutation technique ensuring enhanced performance and providing an appropriate selection of data *** proposed policy’s superiority in selecting the most suitable data center is evaluated using the CloudAnalyst *** results are compared with the state-of-arts cloud service broker policies.

关键词： Cloud computing data center data center selection cloud service broker differential evolution user request

Pressure-rate convolution and deconvolution response for fractured conventional and unconventional reservoirs using new decline rate model

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Petroleum 2019年第3期5卷 243-251页

作者： salam al-Rbeawi Jalal Farhan Owayed Middle east Technical University Northern Cyprus CampusKuwait Kuwait University Kuwait

This paper introduces new approach for pressure-rate convolution and deconvolution analysis of multi-stages hydraulically fractured conventional and unconventional *** approach demonstrates the impact of variable Sand face flow rate on reservoir performance.A new model for P/R deconvolution is used to convert pressure pulse from variable flow rate to single and constant rate *** target of this study is fractal reservoirs with and without stimulated and unstimulated reservoir ***-linear flow regimes approach is used to describe pressure behavior in the reservoirs while decline flow rate behavior is described by newly proposed model in this *** model depicts,instead of van everdingen model,indirectly the declining rate with time by using pressure responses with production *** flow rate behavior simulated by linear and bi-linear flow models are also studied and compared with the one obtained by the new *** analytical models are used in this study by applying P/R convolution and deconvolution technique and solved for constant and variable flow rate considering different reservoir configurations and operating *** results are interpreted and analyzed for better understanding pressure behaviors,flow regime types,and productivity index trends for continuously changing flow rate especially at early production *** stimulated reservoir volume(Vsrv)is considered one of the applications of convolved pressure since it is calculated from pseudo-steady state flow when late time boundary dominated flow regime is *** outcomes of this study can be summarized as:1)Introducing new approach for pressure-rate convolution and deconvolution technique for multi-stages hydraulically fractured reservoirs by applying new decline flow rate model that indirectly simulates variable flow rate with time.2)Generating analytical models for dimensionless pressure and flow rate for constant and variable flow rate usin

关键词： Convolution and convolution technique Rate transient analysis Pressure transient analysis Fractured reservoirs Reservoir performance

Analytical models & type-curve matching techniques for reservoir characterization using wellbore storage dominated flow regime

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Petroleum 2018年第2期4卷 223-239页

作者： salam al-Rbeawi MeTU-Northern Cyprus Campus Cyprus

The applicability of early time data in reservoir characterization is not always considered *** time data is usually controlled by wellbore storage *** effect may last for pseudo-radial flow or even boundary dominated *** this effect is an option for restoring real *** the data with this effect is another option that could be used successfully for reservoir *** paper introduces new techniques for restoring disrupted data by wellbore storage at early time *** proposed techniques are applicable for reservoirs depleted by horizontal wells and hydraulic *** analytical models describe early time data,controlled by wellbore storage effect,have been generated for both horizontal wells and horizontal wells intersecting multiple hydraulic *** relationships of the peak points(humps)with the pressure,pressure derivative and production time have been mathematically formulated in this study for different wellbore storage *** horizontal wells,a complete set of type curves has been included for different wellbore lengths,skin factors and wellbore storage *** complete set of type curves has been established for fractured formations based on the number of hydraulic fractures,spacing between fractures,and wellbore storage *** study has shown that early radial flow for short to moderate horizontal wells is the most affected by wellbore storage while for long horizontal wells;early linear flow is the most affected flow regime by wellbore storage *** study has also emphasized the applicability of early time data for characterizing the formations even though they could be controlled by wellbore storage *** a matter of fact,this paper has found out that wellbore storage dominated flow could have remarkable relationships with the other flow regimes might be developed during the entire production *** relationships can be used to properly de

关键词： Reservoir engineering Reservoir modeling and simulation Pressure transient analysis Reservoir characterization Wellbore storage effect Skin factor Reservoir flow regimes Pressure behaviors

Practical solution for stabilized pseudo-steady state productivity index of multiple vertical wells depleting closed reservoirs

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Petroleum 2020年第1期6卷 53-69页

作者： salam al-Rbeawi Fadhil S.Kadhim MeTU-Northern Cyprus Campus Cyprus University of Technology Iraq

The objective of this paper is introducing practical solutions for stabilized pseudo-steady state productivity index and pressure behaviors and flow regimes of multiple vertical wells depleting closed rectangular *** introduces full understanding of reservoir performance during transient and pseudo-steady state flow using pressure and pressure derivative patterns and productivity index and productivity index derivative *** practical solutions proposed in this study are relied on a new approach for accurate estimation of starting time of pseudo-steady state flow and stabilized productivity index by applying productivity index derivative that converges mathematically to zero at the beginning of this *** is also an attempt for pointing out the optimal reservoir configuration that can give maximum stabilized pseudo-steady state productivity index for different wellbore types and distributions in the drainage *** analytical models are used in this study for describing pressure drop and productivity index behavior of multiple vertical wells considering different reservoir configurations and different wellbore types and *** wells were assumed either fully or partially penetrate the *** pressure models are justified to generate two pressure derivatives,one represents the derivative of time dependent pressure drop and the second represents the derivative of time-invariant pressure *** two derivatives are used for determining the starting time of pseudo-steady state flow and stabilized productivity index when both converge and mathematically become *** models are used also to generate several plots for time-invariant or stabilized pseudo-steady state productivity index for different reservoir geometries considering different wellbore *** maximum stabilized productivity index is illustrated in these plots and several analytical models for the expected flow regimes are developed using pressure a

关键词： Pressure behavior and flow regimes Reservoir characterization Reservoir performance Vertical wells Modeling and simulation Productivity index

The impact of hydraulic flow unit & reservoir quality index on pressure profile and productivity index in multi-segments reservoirs

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Petroleum 2017年第4期3卷 414-430页

作者： salam al-Rbeawi Fadhil Kadhim MeTU-Northern Cyprus Campus Cyprus University of Technology Iraq

The objective of this paper is studying the impact of the hydraulic flow unit and reservoir quality index(RQI)on pressure profile and productivity index of horizontal wells acting in finite *** mathematical models have been developed to investigate this *** models have been built based on the pressure distribution in porous media,depleted by a horizontal well,consist of multi hydraulic flow units and different reservoir quality *** porous media are assumed to be finite rectangular reservoirs having different configurations and the wellbores may have different *** analytical models describing flow regimes have been derived wherein hydraulic flow units and reservoir quality index have been included in addition to rock and fluid *** impact of these two parameters on reservoir performance has also been studied using steady state productivity *** has been found that both pressure responses and flow regimes are highly affected by the existence of multiple hydraulic flow units in the porous media and the change in reservoir quality index for these *** change in the RQI could lead to positive change in both pressure drop required for reservoir fluids to move towards the wellbore and hence the productivity index.

关键词： reservoir reservoirs index

Identification of Anomaly Scenes in Videos Using Graph Neural Networks

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Computers, Materials & Continua 2023年第3期74卷 5417-5430页

作者： Khalid Masood Mahmoud M.al-Sakhnini Waqas Nawaz Tauqeer Faiz Abdul salam Mohammad Hamza Kashif Department of Software engineering Lahore Garrison UniversityLahore54000Pakistan School of Business Skyline University CollegeSharjahUAE al-Madinah International University–Faculty of Computer and Information Technology Kuala LumpurMalaysia College of Computer and Information Systems Islamic University of MadinahMadinahKingdom of Saudi Arabia School of IT Skyline University CollegeSharjahUAE Faculty of engineering Computing and Science(FECS)-Swinburne University of TechnologySarawak Department of General education Skyline University CollegeUniversity City of SharjahUAE Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan

Generally,conventional methods for anomaly detection rely on clustering,proximity,or *** themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the network and make conventional techniques *** research explores the structure of Graph neural networks(GNNs)that generalize deep learning frameworks to graph-structured *** node in the graph structure is labeled and anomalies,represented by unlabeled nodes,are predicted by performing random walks on the node-based graph *** to their strong learning abilities,GNNs gained popularity in various domains such as natural language processing,social network analytics and *** detection is a challenging task in computer vision but the proposed algorithm using GNNs efficiently performs the identification of *** Graph-based deep learning networks are designed to predict unknown objects and *** our case,they detect unusual objects in the form of malicious *** edges between nodes represent a relationship of nodes among each *** case of anomaly,such as the bike rider in Pedestrians data,the rider node has a negative value for the edge and it is identified as an *** encoding and decoding layers are crucial for determining how statistical measurements affect anomaly identification and for correcting the graph path to the best possible *** show that the proposed framework is a step ahead of the traditional approaches in detecting unusual activities,which shows a huge potential in automatically monitoring surveillance *** autonomous monitoring of CCTV,crime control and damage or destruction by a group of people or crowd can be identified and alarms may be triggered in unusual activities in streets or public *** suggested GNN model improves accuracy by 4%for the Pedestrian 2 dataset and 12%for the Pedestrian 1 dataset compared to a few state-of the-art techniq

关键词： Graph neural network deep learning anomaly detection auto encoders