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Optimal Cooperative Spectrum Sensing Based on Butterfly Optimization Algorithm

Computers, Materials & Continua 2022年第4期71卷 369-387页

作者： noor gul Saeed Ahmed Atif Elahi Su Min Kim Junsu Kim Department of Electronics Engineering Korea Polytechnic University15073Gyeonggi-doKorea Department of Electronics University of Peshawar25120Pakistan Department of Electrical Engineering Mirpur University of Science of TechnologyAJ&K10250Pakistan Department of Electrical Engineering International Islamic UniversityIslamabad 44000Pakistan

Since the introduction of the Internet of Things(IoT),several researchers have been exploring its productivity to utilize and organize the spectrum *** radio(CR)technology is characterized as the best aspirant for wireless communications to augment IoT *** the CR networks,secondary users(SUs)opportunistically get access to the primary users(PUs)spectrum through spectrum *** multipath issues in the wireless channel can fluster the sensing ability of the individual ***,several cooperative SUs are engaged in cooperative spectrum sensing(CSS)to ensure reliable sensing *** CSS,security is still a major concern for the researchers to safeguard the fusion center(FC)against abnormal sensing reports initiated by the malicious users(MUs).In this paper,butterfly optimization algorithm(BOA)-based soft decision method is proposed to find an optimized weighting coefficient vector correlated to the SUs sensing *** coefficient vector is utilized in the soft decision rule at the FC before making any global *** effectiveness of the proposed scheme is compared for a variety of parameters with existing schemes through simulation *** results confirmed the supremacy of the proposed BOA scheme in both the normal SUs’environment and when lower and higher SNRs information is carried by the different categories of MUs.

关键词： Internet of Things cognitive radio network butterfly optimization algorithm particle swarm optimization malicious users genetic algorithm

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Energy-Efficient Scheduling for a Cognitive IoT-Based Early Warning System

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Computers, Materials & Continua 2022年第6期71卷 5061-5082页

作者： Saeed Ahmed noor gul Jahangir Khan Junsu Kim Su Min Kim Department of Electronics Engineering Korea Polytechnic UniversitySiheung15073Korea Mirpur University of Science and Technology Mirpur10250Pakistan Department of Electronics University of PeshawarPeshawar25120Pakistan Sarhad University of Science and Information Technology Peshawar25000Pakistan

Flash floods are deemed the most fatal and disastrous natural hazards globally due to their prompt onset that requires a short prime time for emergency *** Internet of things(CIoT)technologies including inherent characteristics of cognitive radio(CR)are potential candidates to develop a monitoring and early warning system(MEWS)that helps in efficiently utilizing the short response time to save lives during flash ***,most CIoT devices are battery-limited and thus,it reduces the lifetime of the *** tackle these problems,we propose a CIoTbased MEWS to slash the fatalities of flash *** extend the lifetime of the MEWS by conserving the limited battery energy of CIoT sensors,we formulate a resource assignment problem for maximizing energy *** solve the problem,at first,we devise a polynomial-time heuristic energyefficient scheduler(EES-1).However,its performance can be unsatisfactory since it requires an exhaustive search to find local optimum values without consideration of the overall network energy *** enhance the energy efficiency of the proposed EES-1 scheme,we additionally formulate an optimization problem based on a maximum weight matching bipartite ***,we additionally propose a Hungarian algorithm-based energy-efficient scheduler(EES-2),solvable in polynomial *** simulation results show that the proposed EES-2 scheme achieves considerably high energy efficiency in the CIoT-based MEWS,leading to the extended lifetime of the MEWS without loss of throughput performance.

关键词： Flash floods internet of things cognitive radio early warning system network lifetime energy efficiency

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Reconfigurable Sensing Time in Cooperative Cognitive Network Using Machine Learning

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Computers, Materials & Continua 2023年第3期74卷 5209-5227页

作者： noor gul Saeed Ahmed Su Min Kim Muhammad Sajjad Khan Junsu Kim Department of Electronics Engineering Korea Polytechnic UniversityGyeonggi-do15073Korea Department of Electronics University of PeshawarPeshawar25120Pakistan Deparment of Electrical Engineering Mirpur University of Science of TechnologyAJ&KMirpur10250Pakistan Department of Electrical Engineering International Islamic UniversityIslamabad44000Pakistan

A cognitive radio network(CRN)intelligently utilizes the available spectral resources by sensing and learning from the radio environment to maximize spectrum *** CRNs,the secondary users(SUs)opportunistically access the primary users(PUs)***,unambiguous detection of the PU channel occupancy is the most critical aspect of the operations of *** spectrum sensing(CSS)is rated as the best choice for making reliable sensing *** paper employs machinelearning tools to sense the PU channels reliably in *** sensing parameters are reconfigured to maximize the spectrum utilization while reducing sensing error and cost with improved channel *** fine-k-nearest neighbor algorithm(FKNN),employed in this paper,estimates the number of samples based on the nature of the channel under-specific detection and false alarm probability *** simulation results reveal that the sensing cost is suppressed by reducing the sensing time and exploiting the traditional fusion rules,validating the effectiveness of the proposed ***,the global decision made at the fusion center(FC)based on the modified sensing samples,results low energy consumption,higher throughput,and improved detection with low error probabilities.

关键词： Energy detection machine learning k-nearest-neighbor decision tree linear regression throughput energy consumption

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Appearance Based Dynamic Hand Gesture Recognition Using 3D Separable Convolutional Neural Network

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Computers, Materials & Continua 2023年第7期76卷 1213-1247页

作者： Muhammad Rizwan Sana Ul Haq noor gul Muhammad Asif Syed Muslim Shah Tariqullah Jan Naveed Ahmad Department of Electronics University of PeshawarPeshawar25120Pakistan Department of Electronics Engineering Korea Polytechnic UniversitySiheungKorea Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Computer Science Prince Sultan UniversityRiyadh11586Saudi Arabia

Appearance-based dynamic Hand Gesture Recognition(HGR)remains a prominent area of research in Human-Computer Interaction(HCI).Numerous environmental and computational constraints limit its real-time *** addition,the performance of a model decreases as the subject’s distance from the camera *** study proposes a 3D separable Convolutional Neural Network(CNN),considering the model’s computa-tional complexity and recognition *** 20BN-Jester dataset was used to train the model for six gesture *** achieving the best offline recognition accuracy of 94.39%,the model was deployed in real-time while considering the subject’s attention,the instant of performing a gesture,and the subject’s distance from the *** being discussed in numerous research articles,the distance factor remains unresolved in real-time deployment,which leads to degraded recognition *** the proposed approach,the distance calculation substantially improves the classification performance by reducing the impact of the subject’s distance from the ***,the capability of feature extraction,degree of relevance,and statistical significance of the proposed model against other state-of-the-art models were validated using t-distributed Stochastic Neighbor Embedding(t-SNE),Mathew’s Correlation Coefficient(MCC),and the McNemar test,*** observed that the proposed model exhibits state-of-the-art outcomes and a comparatively high significance level.

关键词： 3D separable CNN computational complexity hand gesture recognition human-computer interaction

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Pd(II)and Rh(III)Complexes with Isoquinoline Derivatives Induced Mitochondria-Mediated Apoptotic and Autophagic Cell Death in HepG2 Cells

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CCS Chemistry 2021年第6期3卷 1626-1641页

作者： noor Shad gul Taj-Malook Khan Yan-Cheng Liu Muhammad Iqbal Choudhary Zhen-Feng Chen Hong Liang State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources School of Chemistry and PharmacyGuangxi Normal UniversityGuilin 541004 International Center for Chemical and Biological Sciences University of KarachiKarachi 74270

Nonplatinummetal complexes of[Pd(L^(1))Cl_(2)](C1),[Rh(L^(1))Cl_(3)(DMSO)](C2),[Pd(L^(2))Cl_(2)](C3),and[Rh(L^(3))Cl_(3)(DMSO)](C4)with isoquinoline derivatives have been prepared and characterized.C1-C4 exhibited higher in vitro anticancer activity and lower toxicity than the corresponding ligands and cisplatin against HepG2 *** mechanistic studies revealed that C1 arrested the cell cycle at S-phase by regulation of cyclin and cyclin-dependent kinases.C1 was accumulated in mitochondria,which increased the generation of reactive oxygen species(ROS)and endoplasmic reticulum(ER)-stress response through mitochondrial ***,C1 stimulated Ca^(2+)release,activated the caspase cascade,and triggered mitochondria-mediated *** in vivo studies of C1 demonstrated higher safety than cisplatin and effective tumor growth inhibition.C1 is a potential anticancer drug candidate.

关键词： palladium(II) rhodium(III) isoquinoline derivatives anticancer apoptosis autophagy

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Influences of Marangoni convection and variable magnetic field on hybrid nanofluid thin-film flow past a stretching surface

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Chinese Physics B 2022年第6期31卷 494-501页

作者： noor Wali Khan Arshad Khan Muhammad Usman Taza gul Abir Mouldi Ameni Brahmia Department of Mathematics City University of Science and ITPeshawar 25000Pakistan College of Aeronautical Engineering National University of Sciences and Technology(NUST)Sector H-12Islamabad 44000Pakistan Higher Education Archives and Libraries Department KP Govt.Superior Science CollegePeshawarPakistan Department of Industrial Engineering College of EngineeringKing Khalid UniversityAbha 61421KSA Chemistry Department College of ScienceKing Khalid UniversityAbha 61413Saudi Arabia

Investigations on thin-film flow play a vital role in the field of optoelectronics and magnetic *** films are reasonably hard and thermally stable but quite *** thermal stability of a thin film can be further improved by incorporating the effects of *** the current work,a stretchable surface is considered upon which hybrid nanofluid thin-film flow is taken into *** idea of augmenting heat transmission by making use of a hybrid nanofluid is a focus of the current *** flow is affected by variations in the viscous forces,along with viscous dissipation effects and Marangoni convection.A time-constrained magnetic field is applied in the normal direction to the flow *** equations governing the flow system are shifted to a non-dimensional form by applying similarity *** homotopy analysis method is employed to find the solution to the resultant *** is noticed in this study that the flow characteristics decline with augmentation of magnetic,viscosity and unsteadiness parameters while they increase with enhanced values of thin-film *** characteristics are supported by increasing values of the Eckert number and the unsteadiness parameter and opposed by the viscosity parameter and Prandtl *** numerical impact of different emerging parameters upon skin friction and the Nusselt number is calculated in tabular form.A comparison of current work with established results is carried out,with good agreement.

关键词： thin-film flow hybrid nanofluid viscous dissipation stretching surface homotopy analysis method

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