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Accurate Phase Detection for ZigBee Using Artificial Neural Network

Intelligent Automation & Soft Computing 2023年第6期36卷 2505-2518页

作者： ali Alqahtani Abdulaziz A.Alsulami saeed Alahmari Mesfer Alrizq Department of Networks and Communications Engineering College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

The IEEE802.15.4 standard has been widely used in modern industry due to its several benefits for stability,scalability,and enhancement of wireless mesh *** standard uses a physical layer of binary phase-shift keying(BPSK)modulation and can be operated with two frequency bands,868 and 915 *** frequency noise could interfere with the BPSK signal,which causes distortion to the signal before its arrival at ***,filtering the BPSK signal from noise is essential to ensure carrying the signal from the sen-der to the receiver with less ***,removing signal noise in the BPSK signal is necessary to mitigate its negative sequences and increase its capability in industrial wireless sensor ***,researchers have reported a posi-tive impact of utilizing the Kalmen filter in detecting the modulated signal at the receiver side in different communication systems,including ***-while,artificial neural network(ANN)and machine learning(ML)models outper-formed results for predicting signals for detection and classification *** paper develops a neural network predictive detection method to enhance the performance of BPSK ***,a simulation-based model is used to generate the modulated signal of BPSK in the IEEE802.15.4 wireless personal area network(WPAN)***,Gaussian noise was injected into the BPSK simulation *** reduce the noise of BPSK phase signals,a recurrent neural networks(RNN)model is implemented and integrated at the receiver side to esti-mate the BPSK’s phase *** evaluated our predictive-detection RNN model using mean square error(MSE),correlation coefficient,recall,and F1-score *** result shows that our predictive-detection method is superior to the existing model due to the low MSE and correlation coefficient(R-value)metric for different signal-to-noise(SNR)*** addition,our RNN-based model scored 98.71%and 96.34%based on recall and F1-score,respectively.

关键词： Neural networks RNN BPSK phasedetection WPAN IEEE802.15.4 signal demodulation

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A remotely sensed tracking of forest cover and associatedtemperature change in Margalla hills

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International Journal of Digital Earth 2019年第10期12卷 1133-1150页

作者： Noora Khalid Saleem Ullah Sheikh saeed Ahmad Asad ali Farrukh Chishtie Department of Space Science Institute of Space TechnologyIslamabadPakistan Department of Environmental Sciences Fatima Jinnah Women UniversityRawalpindiPakistan

Worldwide, forest degradation is a serious environmental issue, and inPakistan, forest wealth is depleting at the highest rate in South Asia. Toensure sustainable development goals of environmental stewardship,social development and economic growth, a sound monitoring andregulatory mechanism is essential for tracking forest cover changes. Thisstudy aims to quantify the decline of forest reserves and associatedtemperature variations in a relatively unexplored biodiversity hotspot ofIslamabad, Margalla Hills National Park (MHNP). Imagery acquired byLandsat TM (Thematic Mapper) for the year 1992, 2000 and 2011 areused to assess the spatial and temporal changes occurred over the lasttwo decades (from 1992 to 2011). A robust hybrid-classification routineis implemented to monitor the changes in forest cover and ANOVAalong with Tukey’s HSD (Honestly Significant Difference) test is used totest the significance of temperature variation associated with a shift inland cover classes. The results showed a significant growth insettlements, agricultural area and barren soil whereas water body, lowervegetation, scrub and pine forest are diminishing. In both decades, thetemperature alteration associated with a change in land cover classesare statistically significant (confirmed by ANOVA and Tukey’s HSD tests)for most of the land use/land cover classes. Based on these findings, thisstudy concludes that forests are dwindling at MHNP and the degradingcondition of the forest is below par and necessitates the promotion ofconservation practices to minimize ecological disturbances.

关键词： Margalla hills Landsat thematic mapper(Landsat TM) forest cover change hybrid classification land cover classes ANOVA Tukey’s HSD

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Tribological behaviour of AZ31 magnesium alloy reinforced by bimodal size B_(4)C after precipitation hardening

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Journal of Magnesium and Alloys 2022年第11期10卷 3267-3280页

作者： Seyed Kiomars Moheimani Azadeh Keshtgar saeed Khademzadeh Morteza Tayebi ali Rajaee Abdollah Saboori Advanced Materials Research Center Department of Materials EngineeringNajafabad BranchIslamic Azad UniversityNajafabadIran Department of Research and Development Nejat Darya CompanyBoushehrIran Center for Risk and Reliability University of MarylandCollege ParkMD 20742United States Department of Industrial Engineering University of Padova35131 PadovaItaly Young Researchers and Elites Club Science and Research BranchIslamic Azad UniversityTehranIran Department of Materials and Polymer Engineering Hakim Sabzevari UniversitySabzevarIran Integrated Additive Manufacturing Center(IAM) Department of Management and Production Engineering(DIGEP)Politecnico di TorinoCorso Duca Degli Abruzzi2410129TorinoItaly

This study investigated dry sliding wear properties of AZ31 magnesium alloy and B_(4)C-reinforced AZ31 composites containing 5, 10, and 20 wt.% B_(4)C with bimodal sizes under different loadings(10-80 N) at various sliding speeds(0.1-1 m/s) via the pin-on-disc *** evaluations showed that when the distribution of B_(4)C particles was uniform the hardness of the composites increased by enhancing the reinforcement content. The unreinforced alloy and the composite samples were examined to determine the wear mechanism maps and identify the dominant wear mechanisms in each wear condition and reinforcement content. For this purpose, wear rates and friction coefficients were recorded during the wear tests and worn surfaces were characterized by scanning electron microscopy and energy dispersive X-ray spectrometry analyses. The determined wear mechanisms were abrasion, oxidation, delamination, adhesion, and plastic deformation as a result of thermal softening and melting. The wear evaluations revealed that the composites containing 5 and 10 wt.% B_(4)C had a significantly higher wear resistance in all the conditions. However, 20 wt.% B_(4)C/AZ31 composite had a lower resistance at high sliding speeds(0.5-1 m/s) and high loadings(40-80 N) in comparison with the unreinforced alloy. The highest wear resistance was obtained at high sliding speeds and low loadings with the domination of oxidative wear.

关键词： B_(4)C AZ31 alloy Metal matrix composite Wear mechanism Bimodal

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Towards Aspect Based Components Integration Framework for Cyber-Physical System

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Computers, Materials & Continua 2022年第1期70卷 653-668页

作者： Sadia ali Yaser Hafeez Muhammad Bilal Saqib saeed Kyung Sup Kwak University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Computer Engineering Hankuk University of Foreign StudiesYongin-si17035Korea Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982DammamSaudi Arabia Department of Information and Communication Engineering Inha UniversityIncheon22212Korea

Cyber-Physical Systems(CPS)comprise interactive computation,networking,and physical *** integrative environment of CPS enables the smart systems to be aware of the surrounding physical *** systems,such as smart health care systems,smart homes,smart transportation,and smart cities,are made up of complex and dynamic *** components integration development approach should be based on the divide and conquer *** way multiple interactive components can reduce the development complexity *** reusability enhances efficiency and consistency in CPS,encapsulation of component functionalities and a well-designed user interface is vital for the better end-user’s Quality of Experience(QoE).Thus,incorrect interaction of interfaces in the cyber-physical system causes system ***,interface failures occur due to false,and ambiguous requirements analysis and ***,to resolve this issue semantic analysis is required for different stakeholders’viewpoint analysis during requirement specification and components *** work proposes a framework to improve the CPS component integration process,starting from requirement specification to prioritization of components for *** semantic analysis and assessing the reusability of specifications,the framework uses text mining and case-based reasoning *** framework has been tested experimentally,and the results show a significant reduction in ambiguity,redundancy,and irrelevancy,as well as increasing accuracy of interface interactions,component selection,and higher user satisfaction.

关键词： Cyber-physical systems component-based development casebased reasoning prioritization requirement management specification text mining

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Behavioral effects of a four-wing attractor with circuit realization: a cryptographic perspective on immersion

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Communications in Theoretical Physics 2020年第12期72卷 35-70页

作者： Najeeb Alam Khan Muhammad ali Qureshi Tooba Hameed saeed Akbar Saif Ullah Department of Mathematics University of KarachiKarachi 75270Pakistan Department of Physics University of KarachiKarachi 75270Pakistan Department of Mathematics Government College UniversityLahore 54000Pakistan

In this paper,we propose an innovative chaotic system,combining fractional derivative and sinehyperbolic nonlinearity with circuit *** study of this system is conducted via an analog circuit simulator,using two anti-parallel semiconductor diodes to provide hyperbolic sine nonlinearity,and to function as operational *** multi-stability of the system is also enhanced with the help of multi-equilibrium points for distinct real orders of *** system explores the generation of a four-wing attractor in different phases,both numerically and *** changing the input parameters of the system,different graphs are generated for current flow in state,phase,and space,to confirm the precision of the fractional order derivatives.A reasonable simulation shows that the deliberate circuit provides effective chaos in terms of speed and accuracy,which is comensurate with the numerical *** nonlinear chaotic behavior is utilized to encrypt sound(.wav),images(.jpg),and animated(.gif)data which are a major requirement for the security of communication *** proposed circuit performs chaos and cryptographic tasks with high-effective analog computation,and constitutes a novel approach to this area of research.

关键词： multi-wing attractors hyperbolic sine circuit realization encryption

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Implication of Oil Trade in Sino-sudanese Relation,2000-2015

Implication of Oil Trade in Sino-sudanese Relation,2000-2015

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作者： Salma ali saeed Abdallah 山东大学

学位级别：硕士

Without any question,China’s global out-play,particularly her incursion into the African continent dominates as one of the most discussed topics in 21st-century International *** and more,China’s built bilateral relationships continue to generate attention,fame,and interestingly *** Africa,China’s grown engagements with Sudan,particularly the oil dealings presents one of the most controversial,problematic,and attention-drawing bilateral engagement of the 21st century ridden with many views and especially assumptions that leave many questions to be *** these quick assumptions,it is imperative to understand the true dynamics and implications of the oil trade aspect of these relations to both parties,especially Sudan the obvious weak ***,this research seeks to probe into the real implications and conditions of the oil trade to the overall Sino-Sudanese *** view of this,this research employs the interdependence theory coupled with the qualitative method of research,while drawing its sources from books,chapters,journals,news,and online sources to understand this unique South-South *** finds that notwithstanding the quick assumptions,there is more to the Sino-Sudanese oil *** being built around a global interdependence structure and developed mutual vulnerabilities which have forced Sino-Sudanese oil dealings,indications point that the oil dealings have been not only negative but also massively productive with multi-sectoral implications for both China and particularly Sudan albeit the full potentials being inhibited by a number of man-made and natural *** all,it holds the potentials of aiding or ruining the wider Sino-Sudan ***,towards achieving an improved oil engagement,this thesis enjoins a reform of the core structures and workings in the Sudanese oil industry detailing on strengthening the mechanisms of accountability,monitoring and regulation,while mak

关键词：石油贸易中苏关系经济增长

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Numerical study of n-heptane/benzene separation by thermal diffusion column

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Chinese Journal of Chemical Engineering 2019年第8期27卷 1745-1755页

作者： Neda Hashemipour Javad Karimi-Sabet Kazem Motahari saeed Mahruz Monfared Younes Amini Mohammad ali Moosavian Department of Chemical Engineering Faculty of EngineeringArak UniversityArakIran Material and Nuclear Fuel Research School(MNFRS) Nuclear Science and Technology Research InstituteTehranIran Department of Chemical and Petroleum Engineering Sharif University of TechnologyTehranIran Department of Chemical Engineering Isfahan University of TechnologyIsfahanIran School of Chemical Engineering Faculty of EngineeringUniversity of TehranTehranIran

In this article,numerical simulations are performed to investigate the performance of the thermal diffusion column for the separation of n-heptane/benzene *** present work tried to optimize column by analyzing significant parameters such as feed flow rate,temperature and *** order to obtain the hydrodynamic and temperature and mass distribution inside thermal diffusion column,computational fluid dynamic(CFD) method is applied to solve the Navier-Stocks *** simulations are conducted to study the main parameters in both stationary and time-dependent *** using the separation work unit as a function of cut,the optimal cut for maximum SWU occurs within a limited range of 0.47-0.5 for feed rate between 0.5 and 4 g min^-*** findings reveal that the optimum feed rate in the range of optimum cut is about 1 g min^-*** transient study,results show that the best cut for reaching to steady-state condition is θ=0.5.

关键词： Thermal diffusion column(TDC) Computational fluid dynamic Separative work unit n-Heptane/benzene separation

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Green tea catechins inhibit microglial activation which prevents the development of neurological disorders

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Neural Regeneration Research 2020年第10期15卷 1792-1798页

作者： Tahereh Farkhondeh ali Mohammad Pourbagher-Shahri Milad Ashrafizadeh Silvia Llorens Folgado ali Rajabpour-Sanati Mohammad Reza Khazdair saeed Samarghandian Cardiovascular Diseases Research Center Birjand University of Medical SciencesBirjandIran Faculty of Medicine Birjand University of Medical SciencesBirjandIran Department of Basic Science Faculty of Veterinary MedicineUniversity of TabrizTabrizIran Department of Medical Sciences Faculty of Medicine of AlbaceteCentro Regional de Investigaciones Biomedicas(CRIB)University of Castilla-La ManchaAlbaceteSpain Healthy Ageing Research Center Neyshabur University of Medical SciencesNeyshaburIran Department of Basic Medical Sciences Neyshabur University of Medical SciencesNeyshaburIran

The over-activated microglial cells induce neuroinflammation which has the main role in neurological *** over-activated microglia can disturb neuronal function by releasing inflammatory mediators leading to neuronal dysfunctions and ***,inhibition of over-activated microglia may be an effective therapeutic approach for modulating *** studies have indicated anti-neuroinflammatory effects of flavonoids such as green tea *** current research was aimed to review the effect of green tea catechins in inhibiting microglial cells,inflammatory cascades,and subsequent neurological diseases.

关键词： catechins green tea microglia neuroinflammation neurological disease

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Epidemiological, molecular characterization and risk factors of human brucellosis in Iran

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Asian Pacific Journal of Tropical Medicine 2020年第4期13卷 169-175页

作者： Afshar Etemadi Rezvan Moniri Mahmood Saffari Hossein Akbari saeed Alamian ali MohammadBehrozikhah Department of Microbiology Faculty of MedicineKashan University of Medical SciencesKashanIran Department of Biostatistics and Public Health Faculty of HealthKashan University of Medical SciencesKashanIranSocial Determinants of Health(SDH)Research CenterKashanIran Brucellosis Department Razi Vaccine and Serum Research InstituteAgricultural ResearchEducation and Extension Organization(AREEO)KarajIran

Objective:To determine epidemiological,molecular characterization,and potential risk factors of human ***:This descriptive study was carried out in the clinical setting in Iran between 2017 and 2018.A total of 297 participants enrolled in the *** sample size was calculated based on the occurrence rate of brucellosis in different *** were assessed using serological tests and conventional culture *** and multiplex PCR methods typed all of Brucella *** risk factors of disease were ***:A total of 141 of 297(47.5%)Brucella strains were isolated and all of them were detected as Brucella melitensis biovar *** on serologic titers,high culture positivity was recorded at 1/640 titer(P<0.006).The risk factors for brucellosis were patients older than 40 years(OR=2.23,95%CI:1.4-3.55,P=0.001),animal keeper(OR=7,95%CI:1.51-32.41,P=0.005),housewife(OR=8.76,95%CI:1.85-41.37,P=0.002),farmer(OR=6.42,95%CI:1.21-33.97,P=0.019),and contact with animal(OR=1.31,95%CI:0.60-2.85,P=0.005).Conclusions:To the best of our knowledge,this is the first comprehensive report from Iran presenting the detection of Brucella species by the multiplex *** melitensis biovar 1 is still the dominant causative agent in *** consumption of unpasteurized dairy products,living in rural areas,and animal contact were risk factors of brucellosis.

关键词： Brucellosis Epidemiology Molecular detection Risk factors

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A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks

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Computer Systems Science & Engineering 2023年第4期45卷 329-342页

作者： Nada M.Elfatih Elmustafa Sayed ali Maha Abdelhaq Raed Alsaqour Rashid A.saeed Department of Electrical and Electronics Engineering Red Sea UniversityPort Sudan33311Sudan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic UniversityRiyadh93499Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Electronics Engineering Sudan University of Science and TechnologyKhartoum11111Sudan

In cognitive radio networks(CoR),the performance of cooperative spectrum sensing is improved by reducing the overall error rate or maximizing the detection *** optimization methods are usually used to optimize the number of user-chosen for cooperation and the threshold ***,these methods do not take into account the effect of sample size and its effect on improving CoR *** general,a large sample size results in more reliable detection,but takes longer sensing time and increases ***,the locally sensed sample size is an optimization ***,optimizing the local sample size for each cognitive user helps to improve CoR *** this study,two new methods are proposed to find the optimum sample size to achieve objective-based improved(single/double)threshold energy detection,these methods are the optimum sample size N^(*)and neural networks(NN)*** the evaluation,it was found that the proposed methods outperform the traditional sample size selection in terms of the total error rate,detection probability,and throughput.

关键词： Cognitive radio spectrum sensing energy detection double threshold neural network machine learning optimization quality of service

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