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Impact of Fractures and Diagenesis on Reservoir Potential of Inner Ramp Paleocene Carbonates Exposed in Western Part of the Lesser Himalayas of Pakistan

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Journal of Earth Science 2023年第2期34卷 536-555页

作者： Waleed Tariq Gohar Rehman syed ahsan hussain gardezi Nawaz Ikram National Center of Excellence in Geology University of PeshawarPeshawarKhyber Pakhtunkhwa 25120Pakistan Department of Geology University of PeshawarPeshawarKhyber Pakhtunkhwa 25120Pakistan Geological Survey of Pakistan Azad Jammu&Kashmir DirectorateMuzaffarabad 13100Pakistan Institute of Geology University of Azad Jammu&KashmirMuzaffarabad 13100Pakistan

The outcrop investigations provide a better comprehension to interrelate facies-diagenesis and fracture networks for the evaluation of reservoir potential of the carbonate *** this paper,we targeted Kahi-Section(Nizampur Basin)and Peeran Tangai-Section(Kalachitta Range)to analyze structural-kinematics,Discrete Fracture Network Modelling,microfacies identification and diagenesis to interpret their impact on reservoir potential of Lockhart Limestone(Paleocene).The structural grain within the study area mostly represents the typical east-west trending tight to overturned folds and north-dipping thrust faults that mimic the north-south Indo-Eurasian ***,a second phase of deformation related to east-west compressions also identified which rotated the axes of preexisting *** analysis revealed that extensional fractures are oriented at high angle to bedding and are differentiated into three orthogonal sets trending northeast-southwest,northwest-southeast and east-west,whereas,the shear fractures formed two conjugate sets trending *** Lockhart Limestone was deposited in the inner ramp setting and microfacies types are packstone,wackestone and wacke-packstone with seven sub-microfacies *** has been identified that the Lockhart Limestone has the heterogeneous distribution of diagenetic and tectonic features throughout its *** observed diagenetic sequence is micritization,calcite cementation,dissolution,neomorphism,pyritization and *** results highlight that open and partially filled fractures may provide an interconnected network to promote fluid mobility,leading to higher values of fracture *** porosity values of the pore matrix were greater than fracture,resulting a significant impact on reservoir storage *** contrast,a negative impact on reservoir potential has been shown by stylolites,veins and dissolution ***,based on the overall studies,the Lockhart Limestone reve

关键词： lockhart limestone discrete fracture network modelling facies-diagenesis reservoir potential Nizampur Basin petroleum geology

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Analytical Hybrid Particle Swarm Optimization Algorithm for Optimal Siting and Sizing of Distributed Generation in Smart Grid

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Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1221-1230页

作者： syed Muhammad Arif Akhtar hussain Tek Tjing Lie syed Muhammad ahsan Hassan Abbas Khan the Department of Electrical and Electronic Engineering Auckland University of TechnologyAucklandNew Zealand the Department of Electrical Engineering Incheon National UniversityIncheonKorea the Department of Electrical Engineering Lahore University of Management SciencesLahorePakistan

In this paper,the hybridization of standard particle swarm optimisation(PSO)with the analytical method(2/3 rd rule)is proposed,which is called as analytical hybrid PSO(AHPSO)algorithm used for the optimal siting and sizing of distribution *** proposed AHPSO algorithm is implemented to cater for uniformly distributed,increasingly distributed,centrally distributed,and randomly distributed loads in conventional power *** demonstrate the effectiveness of the proposed algorithm,the convergence speed and optimization performances of standard PSO and the proposed AHPSO algorithms are compared for two *** the first case,the performances of both the algorithms are compared for four different load distributions via an IEEE 10-bus *** the second case,the performances of both the algorithms are compared for IEEE 10-bus,IEEE 33-bus,IEEE 69-bus systems,and a real distribution system of *** results show that the proposed AHPSO algorithm converges significantly faster than the standard *** results of the proposed algorithm are compared with those of an analytical algorithm,and the results of them are similar.

关键词： Siting and sizing of distributed generation distribution system hybrid algorithm loss minimization particle swarm optimization(PSO)

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An Efficient Impersonation Attack Detection Method in Fog Computing

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Computers, Materials & Continua 2021年第7期68卷 267-281页

作者： Jialin Wan Muhammad Waqas Shanshan Tu syed Mudassir hussain ahsan Shah Sadaqat Ur Rehman Muhammad Hanif Engineering Research Center of Intelligent Perception and Autonomous Control Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Faculty of Computer Science and Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and TechnologyTopi23460Pakistan Department of Electronics Engineering FICTBalochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Computer Science Namal InstituteMianwali42200Pakistan

Fog computing paradigm extends computing,communication,storage,and network resources to the network’s *** the fog layer is located between cloud and end-users,it can provide more convenience and timely services to ***,in fog computing(FC),attackers can behave as real fog nodes or end-users to provide malicious services in the *** attacker acts as an impersonator to impersonate other legitimate ***,in this work,we present a detection technique to secure the FC ***,we model a physical layer key generation based on wireless channel *** generate the secret keys between the legitimate users and avoid impersonators,we then consider a Double Sarsa technique to identify the impersonators at the receiver *** compare our proposed Double Sarsa technique with the other two methods to validate our work,i.e.,Sarsa and *** simulation results demonstrate that the method based on Double Sarsa outperforms Sarsa and Q-learning approaches in terms of false alarm rate(FAR),miss detection rate(MDR),and average error rate(AER).

关键词： Fog computing double Sarsa attack detection physical layer key security

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Translation of English Language into Urdu Language Using LSTM Model

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Computers, Materials & Continua 2023年第2期74卷 3899-3912页

作者： Sajadul Hassan Kumhar syed Immamul Ansarullah Akber Abid gardezi Shafiq Ahmad Abdelaty Edrees Sayed Muhammad Shafiq SSSUTMS Sehore466001India Department of Computer Science GDC SumbalJ&K193502India Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

English to Urdu machine translation is still in its beginning and lacks simple translation methods to provide motivating and adequate English to Urdu *** order tomake knowledge available to the masses,there should be mechanisms and tools in place to make things understandable by translating from source language to target language in an automated *** translation has achieved this goal with encouraging *** decoding the source text into the target language,the translator checks all the characteristics of the *** achieve machine translation,rule-based,computational,hybrid and neural machine translation approaches have been proposed to automate the *** this research work,a neural machine translation approach is employed to translate English text into *** Short Term Short Model(LSTM)Encoder Decoder is used to translate English to *** various steps required to perform translation tasks include preprocessing,tokenization,grammar and sentence structure analysis,word embeddings,training data preparation,encoder-decoder models,and output text *** results show that the model used in the research work shows better performance in *** results were evaluated using bilingual research metrics and showed that the test and training data yielded the highest score sequences with an effective length of ten(10).

关键词： Machine translation Urdu language word embedding

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Empirical Thermal Investigation of Oil-Immersed Distribution Transformer under Various Loading Conditions

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Computer Modeling in Engineering & Sciences 2021年第11期129卷 829-847页

作者： syed Ali Raza ahsan Ullah Shuang He Yifeng Wang Jiangtao Li School of Electrical Engineering Xi’an Jiaotong UniversityXi’an710049China

The distribution transformer is the mainstay of the power *** internal temperature study is desirable for its safe operation in the power *** purpose of the present study is to determine direct comprehensive thermal distribution in the distribution transformers for different loading *** achieve this goal,the temperature distribution in the oil,core,and windings are studied at each *** experimental study is performed with a 10/0.38 kV,10 kVA oil–immersed transformer equipped with forty–two PT100 sensors(PTs)for temperature measurement installed inside during its manufacturing *** possible locations for the hottest spot temperature(HST)are considered that made by finite element analysis(FEA)simulation and losses calculations.A resistive load is made to achieve 80%to 120%loading of the test transformer for this *** temperature is measured in each part of the transformer at all provided loading *** is observed that temperature varies with loading throughout the transformer,and a detailed map of temperature is obtained in the whole test *** these results,the HST stays in the critical section of the primary winding at all loading *** work is helpful to understand the complete internal temperature layout and the location of the HST in distribution transformers.

关键词： Distribution transformer direct temperature measurement sensor location loading conditions hottest spot temperature thermal distribution

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Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1309-1324页

作者： Rizwan Taj Feng Tao Shahzada Khurram Ateeq Ur Rehman syed Kamran Haider Akber Abid gardezi Saima Kanwal School of Computer and Communication Lanzhou University of TechnologyLanzhouChina Faculty of Computing The Islamia University of BahawalpurBahawalpurPakistan Department of Electrical Engineering Government College UniversityLahorePakistan College of Internet of Things Engineering Hohai UniversityChangzhouChina Department of Computer Science COMSATS University IslamabadIslamabadPakistan

In telemedicine,the realization of reversible watermarking through information security is an emerging research ***,adding watermarks hinders the distribution of pixels in the cover image because it creates distortions(which lead to an increase in the detection probability).In this article,we introduce a reversible watermarking method that can transmit medical images with minimal distortion and high *** proposed method selects two adjacent gray pixels whose least significant bit(LSB)is different from the relevant message bit and then calculates the distortion *** use the LSB pairing method to embed the secret matrix of patient record into the cover image and exchange pixel *** results show that the designed method is robust to different attacks and has a high PSNR(peak signal-to-noise ratio)*** MRI image quality and imperceptibility are verified by embedding a secret matrix of up to 262,688 bits to achieve an average PSNR of 51.657 *** addition,the proposed algorithm is tested against the latest technology on standard images,and it is found that the average PSNR of our proposed reversible watermarking technology is higher(i.e.,51.71 dB).Numerical results show that the algorithm can be extended to normal images and medical images.

关键词： LSB reversible watermarking medical images security data distortion

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Does environmental policy stringency alter the natural resourcesemissions nexus?Evidence from G-7 countries

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Geoscience Frontiers 2024年第5期15卷 454-466页

作者： Roni Bhowmik Arshian Sharif ahsan Anwar Qasim Raza syed Phan The Cong Ngo Ngan Ha School of Business Guangdong University of Foreign StudiesGuangdongPeople’s Republic of China Faculty of Business&Entrepreneurship Daffodil International UniversityDhakaBangladesh Lancashire School of Buiness and Enterprise University of Central LancashirePrestonUnited Kingdom Department of Economics and Finance Sunway Business SchoolSunway UniversitySubang JayaMalaysia Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon University of Economics and Human Sciences in Warsaw WarsawPoland College of International Studies Korea UniversitySeoulSouth Korea Centre for Business Informatics and Industrial Management(CBIIM) UCSI Graduate Business SchoolUCSI UniversityKuala LumpurMalaysia European University of Lefke LefkeNorthern CyprusTR-10 MersinTurkiye Universiti Sains Malaysia Malaysia Department of Business Administration ILMA UniversityKarachiPakistan Faculty of Economics Thuongmai UniversityHanoiViet Nam

Natural resource management is indispensable keeping in view their positive economic impacts as well as their detrimental environmental *** achieve certain SDGs,it is inevitable to manage natural resources through effective policies that help to inhibit adverse environmental *** on this approach,the current empirical analysis aims to probe whether environmental policy stringency intensifies,meagres,and/or halts the abysmal environmental impact of natural resources in G-7 countries(United Kingdom,United States,Canada,Italy,France,Japan,and Germany)for the period from 1990 to *** that end,we rely on the second-generation panel data approaches and panel quantile *** outcomes reveal that natural resources increase carbon dioxide emission whereas the synergy of natural resources and environmental policy stringency plunges emissions across the *** findings suggest adoption of a strict environmental policy for attaining the targets of SGD-08(economic growth),SDG-09(innovations),SDG-11(sustainable cities),SDG-12(responsible consumption of natural resources),and SDG-13(climate action).

关键词： Environmental policy stringency Natural resources CO_(2)emissions G-7 countries

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Impediments of Cognitive System Engineering in Machine-Human Modeling

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Computers, Materials & Continua 2023年第3期74卷 6689-6701页

作者： Fayaz Ahmad Fayaz Arun Malik Isha Batra Akber Abid gardezi syed Immamul Ansarullah Shafiq Ahmad Mejdal Alqahtani Muhammad Shafiq National Institute of Electronics and Information Technology(NIELIT) J&K191132India Department of Computer Science&Engineering Lovely Professional University(LPU)Punjab144402India Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Computer Science Govt.Degree College Sumbal Kashmir193501India Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

A comprehensive understanding of human intelligence is still an ongoing process,i.e.,human and information security are not yet perfectly *** understanding cognitive processes,designers can design humanized cognitive information systems(CIS).The need for this research is justified because today’s business decision makers are faced with questions they cannot answer in a given amount of time without the use of cognitive information *** researchers aim to better strengthen cognitive information systems with more pronounced cognitive thresholds by demonstrating the resilience of cognitive resonant frequencies to reveal possible responses to improve the efficiency of human-computer interaction(HCI).Apractice-oriented research approach included research analysis and a review of existing articles to pursue a comparative research model;thereafter,amodel development paradigm was used to observe and monitor the progression of CIS during *** scope of our research provides a broader perspective on how different disciplines affect HCI and how human cognitive models can be enhanced to enrich *** have identified a significant gap in the current literature on mental processing resulting from a wide range of theory and practice.

关键词： Cognitive-IoT human-computer interaction decision making

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Enhancing Collaborative and Geometric Multi-Kernel Learning Using Deep Neural Network

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Computers, Materials & Continua 2022年第9期72卷 5099-5116页

作者： Bareera Zafar syed Abbas Zilqurnain Naqvi Muhammad ahsan Allah Ditta Ummul Baneen Muhammad Adnan Khan Department of Mechatronics and Control Engineering University of Engineering and TechnologyLahore54890Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department Software Gachon UniversitySeongnam13120Korea

This research proposes a method called enhanced collaborative andgeometric multi-kernel learning (E-CGMKL) that can enhance the CGMKLalgorithm which deals with multi-class classification problems with non-lineardata distributions. CGMKL combines multiple kernel learning with softmaxfunction using the framework of multi empirical kernel learning (MEKL) inwhich empirical kernel mapping (EKM) provides explicit feature constructionin the high dimensional kernel space. CGMKL ensures the consistent outputof samples across kernel spaces and minimizes the within-class distance tohighlight geometric features of multiple classes. However, the kernels constructed by CGMKL do not have any explicit relationship among them andtry to construct high dimensional feature representations independently fromeach other. This could be disadvantageous for learning on datasets with complex hidden structures. To overcome this limitation, E-CGMKL constructskernel spaces from hidden layers of trained deep neural networks (DNN).Due to the nature of the DNN architecture, these kernel spaces not onlyprovide multiple feature representations but also inherit the compositionalhierarchy of the hidden layers, which might be beneficial for enhancing thepredictive performance of the CGMKL algorithm on complex data withnatural hierarchical structures, for example, image data. Furthermore, ourproposed scheme handles image data by constructing kernel spaces from aconvolutional neural network (CNN). Considering the effectiveness of CNNarchitecture on image data, these kernel spaces provide a major advantageover the CGMKL algorithm which does not exploit the CNN architecture forconstructing kernel spaces from image data. Additionally, outputs of hiddenlayers directly provide features for kernel spaces and unlike CGMKL, do notrequire an approximate MEKL framework. E-CGMKL combines the consistency and geometry preserving aspects of CGMKL with the compositionalhierarchy of kernel spaces extracted from DNN hidde

关键词： CGMKL multi-class classification deep neural network multiplekernel learning hierarchical kernel spaces

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Impact of petroleum and non-petroleum indices on financial development in Oman

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Financial Innovation 2020年第1期6卷 268-289页

作者： Faris Nasif Alshubiri Omar Ikbal Tawfik syed ahsan Jamil Department of Finance and Economics College of Commerce and Business AdministrationDhofar UniversityP.O.Box:2509211 SalalahSultanate of Oman Department of Accounting College of Commerce and Business AdministrationDhofar UniversityP.O.Box:2509211 SalalahOman Department of Finance and Economics College of Commerce and Business AdministrationDhofar UniversityP.O.Box:2509211 SalalahOman

This study analyzes the impact of petroleum and non-petroleum indices on the financial development of the Sultanate of Oman from 1978 to *** this end,it uses the petroleum proxy of oil rents(%of gross domestic product,GDP)and the non-petroleum proxy of industry(including construction)value added(%of GDP);agriculture,forestry,and fishing value added(%of GDP);and services value added(%of GDP)to determine the effect on financial development,measured by the amount of domestic credit extended to the private sector by banks(%of GDP).It applies an autoregressive distributed lag(ARDL)*** long-term equation illustrates that the agriculture and industry GDPs have a negative and significant relationship with domestic credit in ***,the oil and service sector GDPs promote financial *** short-term equation illustrates that the oil,agricultural,and service sectors have positive and significant effects on domestic *** conclusion is that the economy of Oman is still in the first phase of economic ***,the government should use oil revenues to develop various non-oil industrial *** would enhance the country’s competitiveness in the global economy and positively contribute to improving the liquidity of the banking sector for stimulating credit at the macroeconomic level.

关键词： Petroleum index Non-petroleum index Financial development ARDL model Oman

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