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| 1 | Plasmon Assisted Highly Efficient Visible Light Catalytic CO_(2) Reduction Over the Noble Metal Decorated Sr-Incorporated g-C_(3)N_(4)显示文摘The photocatalytic performance of g-C_(3)N_(4) for CO_(2) conversion is still inadequate by several shortfalls including the instability,insu cient solar light absorption and rapid charge carrier's recombination rate. To solve these problems,herein,noble metals(Pt and Au)decorated Sr-incorporated g-C_(3)N_(4) photocatalysts are fabricated via the simple calcination and photo-deposition methods. The Sr-incorporation remarkably reduced the g-C_(3)N_(4) band gap from 2.7 to 2.54 eV,as evidenced by the UV–visible absorption spectra and the density functional theory results. The CO_(2) conversion performance of the catalysts was evaluated under visible light irradiation. The Pt/0.15 Sr-CN sample produced 48.55 and 74.54 μmol h-1 g-1 of CH_(4) and CO,respectively.These amounts are far greater than that produced by the Au/0.15 Sr-CN,0.15 Sr-CN,and CN samples. A high quantum e ciency of 2.92% is predicted for the Pt/0.15 Sr-CN sample. Further,the stability of the photocatalyst is confirmed via the photocatalytic recyclable test. The improved CO_(2) conversion performance of the catalyst is accredited to the promoted light absorption and remarkably enhanced charge separation via the Sr-incorporated mid gap states and the localized surface plasmon resonance e ect induced by noble metal nanoparticles.This work will provide a new approach for promoting the catalytic e ciency of g-C_(3)N_(4) for e cient solar fuel production. | Muhammad Humayun Habib Ullah Lang Shu Xiang Ao Asif Ali Tahir Chungdong Wang Wei Luo | 2021 | Nano-Micro Letters2021，13，12： | 4 |
| 2 | Exceptional co-catalyst free photocatalytic activities of B and Fe co-doped SrTiO3 for CO2 conversion and H2 evolution显示文摘CO2 should be converted into chemical-fuels,and to reduce H2O to H2 over SrTiO3 (STO) owing to its negative conduction band position vs.NHE.Herein a novel B and Fe co-doped SrTiO3 (B,F-STO) photocatalyst was successfully fabricated via a single-step sol-hydrothermal process.Various experiments confirmed that B and Fe are effectively doped into the STO matrix.Boron substituted oxygen anions,while Fe substituted Ti cations.UV-visible diffuse reflectance spectra (UV-vis DRS) and valence-band X-ray photoelectron spectroscopy (XPS) spectra confirmed that the band gap of STO significantly reduced from 3.4 to 1.9 eV upon co-doping with B and Fe.Hence,the B,F-STO photocatalyst exhibits more absorption (λ ≤ 650 nm) compared to pure STO (λ ≤ 360 nm).Further,from photoluminescence spectra,fluorescence spectra,and photoelectrochemical measurements,charge separation in STO is considerably enhanced by co-doping B and Fe.This resulted in the improved UV-vis light catalytic activities for CO2 conversion to CH4 and CO and H2O splitting to evolve H2.The amounts of CH4 and CO produced over B,F-STO are ~ 17.2 and 21 μmol,respectively,about 5-fold enhanced compared to that of STO (~ 3.4 μmol CH4 and 5.2 μmol CO),and the calculated quantum efficiency at λ =420 run is ~ 2.16%.Similarly,the amount of H2 produced over B,F-STO is ~ 61 μmol,about 6.7-fold enhanced compared to that over STO (9 μmol),and the calculated quantum efficiency at λ =420 nm is ~ 2.12%.This work provides feasible routes to fabricate highly efficient SrTiO3-based nanophotocatalysts for solar-fuel production. | Muhammad Humayun Lei Xu Ling Zhou Zhiping Zheng Qiuyun Fu Wei Luo | 2018 | Nano Research2018，11，12： | 3 |
| 3 | Perovskite-type lanthanum ferrite based photocatalysts:Preparation,properties,and applications显示文摘Clean energy and a sustainable environment are grand challenges that the world is facing which can be addressed by converting solar energy into transportable and storable fuels(chemical fuel).The main scientific and technological challenges for efficient solar energy conversion,energy storage,and environmental applications are the stability,durability,and performance of low-cost functional materials.Among different nanomaterials,perovskite type LaFeO_(3)has been extensively investigated as a photocatalyst due to its abundance,high stability,compositional and structural fexibility,high electrocatalytic activity,efficient sunlight absorption,and tunable band gap and band edges.Hence,it is urgent to write a comprehensive review to highlight the trend,challenges,and prospects of LaFeO_(3)in the field of photocatalytic solar energy conversion and environment purification.This critical review summarizes the history and basic principles of photocatalysis.Further,it reviews in detail the LaFeO_(3),applications,shortcomings,and activity enhancement strategies including the design of nanostructures,elemental doping,and heterojunctions construction such as Type-I,Type-II,Z-Type,and uncommon heterojunctions.Besides,the optical and electronic properties,charge carriers separation,electron transport phenomenon and alignment of the band gaps in LaFeO_(3)-based heterostructures are comprehensively discussed. | Muhammad Humayun Habib Ullah Muhammad Usman Aziz Habibi-Yangjeh Asif Ali Tahir Chundong Wang Wei Luo | 2022 | Journal of Energy Chemistry2022，31，3： | 2 |
| 4 | Synthesis of hexacyclic fused isocoumarin framework through selective domino multicyclizations under catalyst and solvent free conditions显示文摘A novel fused isocoumarin skeleton has been synthesized through selective domino multicyclizations by mixing homothallic acid and 2,3-diphenylacryloyl chloride at 200 8C under catalyst and solvent free reaction conditions.Six fused rings with two stereogenic centers were assembled in a convenient onepot operation in good yield.The resulting hexacyclic fused isocoumarin skeleton and its stereochemistry was fully characterized and unambiguously confirmed by X-ray diffraction analysis. | Tariq Mahmood Babar Muhammad Moazzam Naseer Muhammad Khawar Rauf Humayun Pervez Masahiro Ebihara Nasim Hasan Rama | 2014 | Chinese Chemical Letters2014，25，9： | 1 |
| 5 | Synthesis and Characterization of Antimony(III) Complexes of Thioamides, and Crystal Structure of {[Sb(Imt)2Cl2]2(u2-lmt)}Cl2 (Imt=Imidazolidine-2-thione)显示文摘 | Ajaz Humayun Hussain Sajjad Altaf Muhammad Stoeckli-Evans Helen Isab Anvarhusein Mahmood Rashid Altaf Shahnila Ahmad Saeed | 2011 | Chinese Journal of Chemistry2011，29，2： | 1 |
| 6 | Experimental and DFT Studies of Au Deposition Over WO_(3)/g-C_(3)N_(4) Z-Scheme Heterojunction显示文摘A typical Z-scheme system is composed of two photocatalysts which generate two sets of charge carriers and split water into H2 and O2 at different locations.Scientists are struggling to enhance the efficiencies of these systems by maximizing their light absorption,engineering more stable redox couples,and discovering new O2 and H2 evolutions co-catalysts.In this work,Au decorated WO3/g-C3N4 Z-scheme nanocomposites are fabricated via wet-chemical and photo-deposition methods.The nanocomposites are utilized in photocatalysis for H2 production and 2,4-dichlorophenol(2,4-DCP)degradation.It is investigated that the optimized 4Au/6%WO3/CN nanocomposite is highly efficient for production of 69.9 and 307.3μmol h−1 g−1 H2 gas,respectively,under visible-light(λ>420 nm)and UV–visible illumination.Further,the fabricated 4Au/6%WO3/CN nanocomposite is significant(i.e.,100%degradation in 2 h)for 2,4-DCP degradation under visible light and highly stable in photocatalysis.A significant 4.17%quantum efficiency is recorded for H2 production at wavelength 420 nm.This enhanced performance is attributed to the improved charge separation and the surface plasmon resonance effect of Au nanoparticles.Solid-state density functional theory simulations are performed to countercheck and validate our experimental data.Positive surface formation energy,high charge transfer,and strong non-bonding interaction via electrostatic forces confirm the stability of 4Au/6%WO3/CN interface. | Muhammad Humayun Habib Ullah Junhao Cao Wenbo Pi Yang Yuan Sher Ali Asif Ali Tahir Pang Yue Abbas Khan Zhiping Zheng Qiuyun Fu Wei Luo | 2020 | Nano-Micro Letters2020，12，1： | 1 |
| 7 | Surface plasmon polaritons induced reduced hacking显示文摘There is always need for secure transmission of information and simultaneously compact-size photonic circuits. This can be achieved if surface plasmon-polaritons(SPPs) are used as source of information, and the reduced hacking as the transmission phenomenon. In this article, an SPP-based reduced hacking scheme is presented at interface between atomic medium and metallic conductor. The SPP propagation is manipulated with conductivity of the metal. The delay or advance of the SPP is found to create nanosecond time gap which can be used for storing and sending the information safely. The reduced hacking is further modified with conductivity of the metal and the control parameters of the atomic medium. | Bakhtawar Muhammad Haneef Humayun Khan | 2021 | Chinese Physics B2021，30，6： | 0 |
| 8 | Birefringence via Doppler broadening and prevention of information hacking显示文摘We propose a new scheme for the coherent control of birefringent light pulses propagation in a four-level atomic medium. We modify the splitting of a light pulse by controlling the electric and magnetic responses. The Doppler broadening effect is also noted on the propagation of the birefringent pulses. The dispersions of the birefringence beams are oppositely manipulated for delay and advancement of time at a Doppler width of 10γ. A time gap is created between the birefringence beams, which protects from hacking of information. The time gap is then closed to restore the pulse into the original form by a reverse manipulation of the dispersion of the birefringence beams, i.e., introducing another medium whose transfer function is the complex conjugate of that of the original medium. The results are useful for secure communication technology. | Humayun Khan Muhammad Haneef Bakhtawar | 2018 | Chinese Physics B2018，27，1： | 0 |
| 9 | (Co,Ni)Se_(2)/C@FeOOH中空笼状纳米结构的自旋调控加速水氧化催化研究显示文摘氢气作为一种清洁无污染的可再生能源,可以有效地解决全球能源危机和环境污染问题.低能耗水裂解制氢是公认的未来清洁制氢的有效途径之一.水裂解反应分为阳极上发生的析氧反应(OER)和阴极上发生的析氢反应,由于阳极半反应涉及四电子过程,反应动力学缓慢,进而导致整个水分解产氢效率低下,成为规模化水裂解制氢应用的瓶颈.贵金属Ir基和Ru基催化剂具有较好的OER催化性能,但其价格高昂和低储量极大地限制了其大规模应用.因此,设计出性能优良的非贵金属OER催化剂,对于促进电催化水裂解制氢领域的发展具有重要意义.自旋调控可以调节d-轨道电子与含氧物种之间的自旋占据态,进而改变含氧物种的吸附能,提升催化反应动力学.然而,自旋调控如何提升电催化水氧化及其内部的关联性鲜有报道.本文报道了一种(Co,Ni)Se_(2)/C@FeOOH笼状纳米结构的自旋调控工程以提升其析氧反应活性.以金属有机框架材料ZIF-67为前驱体,采用离子交换方法和化学气相沉积法合成了(Co,Ni)Se_(2)/C中空笼状纳米结构,接着通过化学水浴沉积法用FeOOH进行修饰,进一步提高了电催化反应动力学.磁化测试结果表明,(Co,Ni)Se_(2)/C@FeOOH样品的极化自旋数(μb=6.966μb/f.u)高于(Co,Ni)Se_(2)/C样品的极化自旋数(μb=6.398μb/f.u),从而有利于含氧中间体的吸附和脱附,这与表面价带谱的结果一致.与(Co,Ni)Se_(2)/C相比,(Co,Ni)Se_(2)/C@FeOOH样品具有更强的铁磁性,电磁感应促进了磁性粒子最外层电子的自旋.电子自旋的增加有利于(Co,Ni)Se_(2)/C@FeOOH样品最外层电子能级的跃迁,在3d-轨道上产生更多的空电子轨道和未成对电子,有利于电子转移和氧吸附.Ni,Co和Fe之间的π电子在界面处的局域化重组再分配优化了对含氧物种的吸附与脱附自由能,提升了OER催化性能.此外,所设计的中空笼状纳米结构和杂原子掺杂碳基体对提高OER活性也有重要作用.因此,在1.0 mol/L KOH碱性溶液中,(Co,Ni)Se_(2)/C@FeOOH催化剂展现出较好的析氧反应性能,在10 mA cm^(-2)电流下的过电位为241 mV,塔菲尔斜率为44 mV dec^(-1),明显优于原先的(Co,Ni)Se_(2)/C催化剂.本文将为高效OER电催化剂的设计提供一种新的思路和方法. | 谷雨 王晓蕾 Muhammad Humayun 李林峰 孙华传 许雪飞 薛新英 Aziz Habibi-Yangjeh Kristiaan Temst 王春栋 | 2022 | Chinese Journal of Catalysis2022，43，3： | 0 |
| 10 | Smart-City-based Data Fusion Algorithm for Internet of Things显示文摘Increasingly,Wireless Sensor Networks(WSNs)are contributing enormous amounts of data.Since the recent deployments of wireless sensor networks in Smart City infrastructures,significant volumes of data have been produced every day in several domains ranging from the environment to the healthcare system to transportation.Using wireless sensor nodes,a Smart City environment may now be shown for the benefit of residents.The Smart City delivers intelligent infrastructure and a stimulating environment to citizens of the Smart Society,including the elderly and others.Weak,Quality of Service(QoS)and poor data performance are common problems in WSNs,caused by the data fusion method,where a small amount of bad data can significantly impact the total fusion outcome.In our proposed research,a WSN multisensor data fusion technique employing fuzzy logic for event detection.Using the new proposed Algorithm,sensor nodes will collect less repeated data,and redundant data will be used to increase the data’s overall reliability.The network’s fusion delay problem is investigated,and a minimum fusion delay approach is provided based on the nodes’fusion waiting time.The proposed algorithm performs well in fusion,according to the results of the experiment.As a result of these discoveries,It is concluded that the algorithm describe here is effective and dependable instrument with a wide range of applications. | Jawad Khan Muhammad Amir Khan N.Z.Jhanjhi Mamoona Humayun Abdullah Alourani | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 11 | Metal-Organic Frameworks Offering Tunable Binary Active Sites toward HighlyEfficient Urea Oxidation Electrolysis显示文摘Electrocatalytic urea oxidation reaction(UOR)is regarded as an effective yet challenging approach for the degradation of urea in wastewater into harmless N2 and CO_(2).To overcome the sluggish kinetics,catalytically active sites should be rationally designed to maneuver the multiple key steps of intermediate adsorption and desorption.Herein,we demonstrate that metal-organic frameworks(MOFs)can provide an ideal platform for tailoring binary active sites to facilitate the rate-determining steps,achieving remarkable electrocatalytic activity toward UOR.Specifically,the MOF(namely,NiMn_(0.14)-BDC)based on Ni/Mn sites and terephthalic acid(BDC)ligands exhibits a low voltage of 1.317 V to deliver a current density of 10 mA cm^(-2).As a result,a high turnover frequency(TOF)of 0.15 s^(-1) is achieved at a voltage of 1.4 V,which enables a urea degradation rate of 81.87%in 0.33 M urea solution.The combination of experimental characterization with theoretical calculation reveals that the Ni and Mn sites play synergistic roles in maneuvering the evolution of urea molecules and key reaction intermediates during the UOR,while the binary Ni/Mn sites in MOF offer the tunability for electronic structure and d-band center impacting on the intermediate evolution.This work provides important insights into active site design by leveraging MOF platform and represents a solid step toward highly efficient UOR with MOF-based electrocatalysts. | Xuefei Xu Qingming Deng Hsiao-Chien Chen Muhammad Humayun Delong Duan Xia Zhang Huachuan Sun Xiang Ao Xinying Xue Anton Nikiforov Kaifu Huo Chundong Wang Yujie Xiong | 2022 | Research2022，，4： | 0 |
| 12 | A Compact Rhombus Shaped Antenna with Extended Stubs for Ultra-Wideband Applications显示文摘Ultra-wideband(UWB)is highly preferred for short distance communication.As a result of this significance,this project targets the design of a compact UWB antennas.This paper describes a printed UWB rhombusshaped antenna with a partial ground plane.To achieve wideband response,two stubs and a notch are incorporated at both sides of the rhombus design and ground plane respectively.To excite the antenna,a simple microstrip feed line is employed.The suggested antenna is built on a 1.6 mm thick FR4 substrate.The proposed design is very compact with overall electrical size of 0.18λ×0.25λ(14×18 mm2).The rhombus shaped antenna covers frequency ranging from 3.5 to 11 GHz with 7.5 GHz impedance bandwidth.The proposed design simulated and measured bandwidths are 83.33%and 80%,respectively.Radiation pattern in terms of E-field and H-field are discussed at 4,5.5 and 10 GHz respectively.The proposed design has 65%radiation efficiency and 1.5 dBi peak gain.The proposed design is simulated in CST(Computer Simulation Technology)simulator and the simulated design is fabricated for the measured results.The simulated and measured findings are in close resemblance.The obtained results confirm the application of the proposed design for the ultra-wide band applications. | Syed Misbah un Noor Muhammad Amir Khan Shahid Khan NZ Jhanjhi Mamoona Humayun Hesham A.Alhumyan | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 13 | Space–time cloaks through birefringent Goos–H?nchen shifts显示文摘We report a theoretical demonstration for the creation of space–time holes based on birefringence of reflection,transmission, and the Goos–H?chen(GH) shifts from a chiral medium. We observed space–time holes in the reflection, transmission, and their corresponding GH-shifted beams. Two space–time holes are clearly detected in the regions of 0 < t ≤ 5τ_0 and-5 w ≤ y ≤ 5 w, as well as in the regions of-5τ_0≤ t ≤ 0 and-5 w ≤ y ≤ 5 w.These space–time holes hide objects and information contents from observers and hackers. The objects and information contents are completely undetectable, and thus events can be cloaked. The results of this paper have potential applications in the invisibility of drone technology and secure communication of information in telecom industries. | Humayun Khan Muhammad Haneef Bakhtawar | 2019 | Chinese Optics Letters2019，17，3： | 0 |
| 14 | Machine Learning Enabled Early Detection of Breast Cancer by Structural Analysis of Mammograms显示文摘Clinical image processing plays a signicant role in healthcare systems and is currently a widely used methodology.In carcinogenic diseases,time is crucial;thus,an image’s accurate analysis can help treat disease at an early stage.Ductal carcinoma in situ(DCIS)and lobular carcinoma in situ(LCIS)are common types of malignancies that affect both women and men.The number of cases of DCIS and LCIS has increased every year since 2002,while it still takes a considerable amount of time to recommend a controlling technique.Image processing is a powerful technique to analyze preprocessed images to retrieve useful information by using some remarkable processing operations.In this paper,we used a dataset from the Mammographic Image Analysis Society and MATLAB 2019b software from MathWorks to simulate and extract our results.In this proposed study,mammograms are primarily used to diagnose,more precisely,the breast’s tumor component.The detection of DCIS and LCIS on breast mammograms is done by preprocessing the images using contrast-limited adaptive histogram equalization.The resulting images’tumor portions are then isolated by a segmentation process,such as threshold detection.Furthermore,morphological operations,such as erosion and dilation,are applied to the images,then a gray-level co-occurrence matrix texture features,Harlick texture features,and shape features are extracted from the regions of interest.For classication purposes,a support vector machine(SVM)classier is used to categorize normal and abnormal patterns.Finally,the adaptive neuro-fuzzy inference system is deployed for the amputation of fuzziness due to overlapping features of patterns within the images,and the exact categorization of prior patterns is gained through the SVM.Early detection of DCIS and LCIS can save lives and help physicians and surgeons todiagnose and treat these diseases.Substantial results are obtained through cubic support vector machine(CSVM),respectively,showing 98.95%and 98.01%accuracies for normal and abnormal mammograms.Through ANFIS,promising results of mean square error(MSE)0.01866,0.18397,and 0.19640 for DCIS and LCIS differentiation during the training,testing,and checking phases. | Mavra Mehmood Ember Ayub Fahad Ahmad Madallah Alruwaili Ziyad AAlrowaili Saad Alanazi Mamoona Humayun Muhammad Rizwan Shahid Naseem Tahir Alyas | 2021 | Computers, Materials & Continua2021，，4： | 0 |
| 15 | Security Threat and Vulnerability Assessment and Measurement in Secure Software Development显示文摘Security is critical to the success of software,particularly in today’s fast-paced,technology-driven environment.It ensures that data,code,and services maintain their CIA(Confidentiality,Integrity,and Availability).This is only possible if security is taken into account at all stages of the SDLC(Software Development Life Cycle).Various approaches to software quality have been developed,such as CMMI(Capabilitymaturitymodel integration).However,there exists no explicit solution for incorporating security into all phases of SDLC.One of the major causes of pervasive vulnerabilities is a failure to prioritize security.Even the most proactive companies use the“patch and penetrate”strategy,inwhich security is accessed once the job is completed.Increased cost,time overrun,not integrating testing and input in SDLC,usage of third-party tools and components,and lack of knowledge are all reasons for not paying attention to the security angle during the SDLC,despite the fact that secure software development is essential for business continuity and survival in today’s ICT world.There is a need to implement best practices in SDLC to address security at all levels.To fill this gap,we have provided a detailed overview of secure software development practices while taking care of project costs and deadlines.We proposed a secure SDLC framework based on the identified practices,which integrates the best security practices in various SDLC phases.A mathematical model is used to validate the proposed framework.A case study and findings show that the proposed system aids in the integration of security best practices into the overall SDLC,resulting in more secure applications. | Mamoona Humayun NZ Jhanjhi Maram Fahhad Almufareh Muhammad Ibrahim Khalil | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 16 | Multi-Scale Network for Thoracic Organs Segmentation显示文摘Medical Imaging Segmentation is an essential technique for modern medical applications.It is the foundation of many aspects of clinical diagnosis,oncology,and computer-integrated surgical intervention.Although significant successes have been achieved in the segmentation of medical images,DL(deep learning)approaches.Manual delineation of OARs(organs at risk)is vastly dominant but it is prone to errors given the complex irregularities in shape,low texture diversity between tissues and adjacent blood area,patientwide location of organisms,and weak soft tissue contrast across adjacent organs in CT images.Till now several models have been implemented onmulti organs segmentation but not caters to the problemof imbalanced classes some organs have relatively small pixels as compared to others.To segment OARs in thoracic CT images,we proposed the model based on the encoder-decoder approach using transfer learning with the efficientnetB7 DL model.We have built a fully connected CNN(Convolutional Neural network)having 5 layers of encoding and 5 layers of decoding with efficientnetB7 specifically to tackle imbalance class pixels in an accurate way for the segmentation of OARs.Proposed methodology achieves 0.93405 IOU score,0.95138 F1 score and class-wise dice score for esophagus 0.92466,trachea 0.94257,heart 0.95038,aorta 0.9351 and background 0.99891.The results showed that our proposed framework can be segmented organs accurately. | Muhammad Ibrahim Khalil Samabia Tehsin Mamoona Humayun N.Z Jhanjhi Mohammed A.AlZain | 2022 | Computers, Materials & Continua2022，，2： | 0 |
| 17 | Material Parameters of a Structural Steel with Plastic Strain Memory显示文摘 | Humayun KabirSheikh Muhammad Taein Yeo | 2011 | Journal of Mechanics Engineering and Automation2011，1，1： | 0 |
| 18 | Metal-Doped Brushite Cement for Bone Regeneration显示文摘For the past several years,calcium phosphate cement was used in the biomedical applications.Outstanding biocompatibility,good bioactivity,self-setting qualities,minimum setting degree,appropriate toughness,and simple shape to accommodate any difficult geometry are among their most notable attributes.Calcium phosphate has some types and brushite is one of the most attractive mineral for bone repair application.Brushite is extensively employed in filling fractures and trauma treatments as a bone substituted material.This kind of material can potentially be used as a medicine delivery device.The replacement of metal,such as magnesium,zinc,and strontium ions,into the calcium phosphate structure is a major research topic these days.Brushite cement has low mechanical strength and quick setting rate.It is possible to produce biomaterials with higher mechanical characteristics.By adding metal that are great potential in controlling cellular density when included into biomaterials.As a result,it is a successful method to develop quite well regenerative medicine.This paper provides a detailed summary of the present achievements of metal-doped brushite cement for bone repair and healing process.The major purpose of this work is to give a simple but thorough analysis of current successes in brushite cement doped with Zn,Mg,Sr,and other ions as well as to highlight new advancements and prospects.The impact of metal replacement on cement physical and chemical properties,including microstructure,setting time,injectability,mechanical property,and ion release,is explored.The metal-doped cement has osteogenesis,angiogenesis,and antibacterial properties,as well as their prospective utility as drug carriers,also considered. | Muhammad Aqib Aneela Anwar Humayun Ajaz Samina Akbar Ahsan Manzoor Maham Abid Zohaib Waheed Qudsia Kanwal | 2023 | Journal of Bionic Engineering2023，20，6： | 0 |
| 19 | Robust Cluster-Based Routing Protocol for IoT-Assisted Smart Devices in WSN显示文摘The Internet of Things(IoT)is gaining attention because of its broad applicability,especially by integrating smart devices for massive communication during sensing tasks.IoT-assisted Wireless Sensor Networks(WSN)are suitable for various applications like industrial monitoring,agriculture,and transportation.In this regard,routing is challenging to nd an efcient path using smart devices for transmitting the packets towards big data repositories while ensuring efcient energy utilization.This paper presents the Robust Cluster Based Routing Protocol(RCBRP)to identify the routing paths where less energy is consumed to enhances the network lifespan.The scheme is presented in six phases to explore ow and communication.We propose the two algorithms:(i)energy-efcient clustering and routing algorithm and (ii)distance and energy consumption calculation algorithm.The scheme consumes less energy and balances the load by clustering the smart devices.Our work is validated through extensive simulation using Matlab.Results elucidate the dominance of the proposed scheme is compared to counterparts in terms of energy consumption,the number of packets received at BS and the number of active and dead nodes.In the future,we shall consider edge computing to analyze the performance of robust clustering. | Maryam Shaq Humaira Ashraf Ata Ullah Mehedi Masud Muhammad Azeem N.Z.Jhanjhi Mamoona Humayun | 2021 | Computers, Materials & Continua2021，，6： | 0 |
| 20 | Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment显示文摘With the rising demand for data access,network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for access.To increase efficacy of Software Defined Network(SDN)and Network Function Virtualization(NFV)framework,we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency,reduce network performance,and increase maintenance cost.The existing frameworks lack in security,and computer systems face few abnormalities,which prompts the need for different recognition and mitigation methods to keep the system in the operational state proactively.The fundamental concept behind SDN-NFV is the encroachment from specific resource execution to the programming-based structure.This research is around the combination of SDN and NFV for rational decision making to control and monitor traffic in the virtualized environment.The combination is often seen as an extra burden in terms of resources usage in a heterogeneous network environment,but as well as it provides the solution for critical problems specially regarding massive network traffic issues.The attacks have been expanding step by step;therefore,it is hard to recognize and protect by conventional methods.To overcome these issues,there must be an autonomous system to recognize and characterize the network traffic’s abnormal conduct if there is any.Only four types of assaults,including HTTP Flood,UDP Flood,Smurf Flood,and SiDDoS Flood,are considered in the identified dataset,to optimize the stability of the SDN-NFVenvironment and security management,through several machine learning based characterization techniques like Support Vector Machine(SVM),K-Nearest Neighbors(KNN),Logistic Regression(LR)and Isolation Forest(IF).Python is used for simulation purposes,including several valuable utilities like the mine package,the open-source Python ML libraries Scikit-learn,NumPy,SciPy,Matplotlib.Few Flood assaults and Structured Query Language(SQL)injections anomalies are validated and effectively-identified through the anticipated procedure.The classification results are promising and show that overall accuracy lies between 87%to 95%for SVM,LR,KNN,and IF classifiers in the scrutiny of traffic,whether the network traffic is normal or anomalous in the SDN-NFV environment. | Shumaila Shahzadi Fahad Ahmad Asma Basharat Madallah Alruwaili Saad Alanazi Mamoona Humayun Muhammad Rizwan Shahid Naseem | 2021 | Computers, Materials & Continua2021，，3： | 0 |
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