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集装箱船双燃料发动机投资的环境与经济评价

哈尔滨工程大学学报（英文版） 2023年第4期22卷 823-836页

作者： Çağlar Karatuğ Emir Ejder Mina Tadros yasin arslanoğlu Istanbul Technical University Maritime Faculty34940TuzlaIstanbulTurkey Marine Offshore and Subsea Technology GroupMechanical Engineering and Marine TechnologySchool of EngineeringNewcastle UniversityNewcastle Upon TyneNE17RUUK Department of Naval Architecture and Marine Engineering Faculty of EngineeringAlexandria UniversityAlexandria 21544Egypt

In this study,environmental and economic examinations of Liquefied Natural Gas(LNG)investments are conducted.A year-long noon report data is received from a container ship and LNG conversion is *** from both the fuel expenses and the amount of the emissions are calculated and *** eliminate the fuel consumption uncertainties in future operation periods of the stated ship,different scenarios that simulate various fuel consumption statuses are created and analyzed within the Monte Carlo Simulation ***,calculations are made with two different time prices,*** and half year *** a result of the analyses,LNG can provide high environmental benefits since it reduces 99%for SOx,95%for PM10,95%for PM2.5,41%for CO_(2),and 82%for NOx,*** is also determined that LNG investment is highly sensitive to fuel *** addition,the LNG usage can be beneficial for maritime companies in terms of marine policies such as paying carbon tax based on the expanding European Union Emission Trade System to maritime ***,it needs supportive carbon reduction method to comply with the maritime decarbonization *** study has great importance in that the economic analysis way presented is able to adapt any alternative fuel system conversion for the maritime industry.

关键词： Dual-fuel engine Monte Carlo simulation Emission reduction Maritime transportation Economic analysis Environmental analysis

Beneficial use of mussel shell as a bioadditive for TPU green composites by the valorization of an aqueous waste

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Waste Disposal and Sustainable Energy 2024年第1期6卷 123-137页

作者： SedefŞişmanoğlu yasin Kanbur Carmen-Mihaela Popescu Diana Kindzera Ümit Tayfun Department of Chemistry Karabuk University78050KarabukTurkey Petru Poni Institute of Macromolecular Chemistry of the Romanian Academy 700487IasiRomania Department of Chemical Engineering Lviv Polytechnic National UniversityLviv79013Ukraine Department of Basic Sciences Bartin University74110BartinTurkey

Scientific studies have focused on environmentally friendly solutions as effective as the reuse of crop products owing to plastic-waste problems in recent *** issue is the main driving force for upcoming academic research attempts in waste valorization-related ***,we integrated an aqua-waste,mussel shell(MS),as a bioadditive form into green thermoplastic polyurethane(TPU)green *** of the MS surface was performed to achieve strong adhesion between composite *** surface functionalities of MS powders were evaluated via infrared spectroscopy and scanning electron microscopy(SEM)*** samples were prepared by melt-compounding followed by injection molding *** was confirmed by morphological analysis that relatively better adhesion between the phases was achieved for composites involving surface-modified MS compared to unmodified *** strength and Young’s modulus of surface-modified MS-filled composites were found to be higher than those of unmodified MS,whereas the elongation at break shifted to lower values with MS *** shore hardness of TPU was remarkably improved after being incorporated with silane-treated MS(AS-MS).Stearic acid-treated MS(ST-MS)additions resulted in an enhancement in the thermal stability of the ***-mechanical analysis showed that the storage moduli of composites were higher than those of unfilled ***-MS additions led to an increase in the characteristic glass transition temperature of *** flow index(MFI)of neat TPU was highly improved after MS loading regardless of modification *** to the wear test,surface modification of MS displayed a positive effect on the wear resistance of *** the water absorption data of the composites were evaluated,the TPU/AS-MS composite yielded the lowest water *** silane layer on MS inclusion promoted water repellency of composites due to the hydrophobicity of *** results of the biodegradation

关键词： Aqua-waste Polyurethane Mussel shell Green composites Sustainability Waste valorization

An Ingenious IoT Based Crop Prediction System Using ML and EL

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Computers, Materials & Continua 2024年第4期79卷 183-199页

作者： Shabana Ramzan Yazeed yasin Ghadi Hanan Aljuaid Aqsa Mahmood Basharat Ali Department of Computer Science&IT Government Sadiq CollegeWomen UniversityBahawalpur63100Pakistan Department of Computer Science/Software Engineering Al Ain UniversityAl Ain64141UAE Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)Riyadh11671Saudi Arabia Agronomic Research Station Bahawalpur63100Pakistan

Traditional farming procedures are time-consuming and expensive as based on manual labor. Farmers haveno proper knowledge to select which crop is suitable to grow according to the environmental factors and soilcharacteristics. This is the main reason for the low yield of crops and the economic crisis in the agricultural sectorof the different countries. The use of modern technologies such as the Internet of Things (IoT), machine learning,and ensemble learning can facilitate farmers to observe different factors such as soil electrical conductivity (EC),and environmental factors like temperature to improve crop yield. These parameters play a vital role in suggestinga suitable crop to cope the food scarcity. This paper proposes a systemcomprised of twomodules, first module usesstatic data and the second module takes hybrid data collection (IoT-based real-time data and manual data) withmachine learning and ensemble learning algorithms to suggest the suitable crop in the farm to maximize the *** is used to train the model that predicts the crop. This system proposed an intelligent and low-cost solutionfor the farmers to process the data and predict the suitable *** implemented the proposed system in the *** efficiency and accuracy of the proposed system are confirmed by the generated results to predict the crop.

关键词： Machine learning Internet of Things sensors ensemble learning

Enhanced Steganalysis for Color Images Using Curvelet Features and Support Vector Machine

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Computers, Materials & Continua 2024年第1期78卷 1311-1328页

作者： Arslan Akram Imran Khan Javed Rashid Mubbashar Saddique Muhammad Idrees Yazeed yasin Ghadi Abdulmohsen Algarni Faculty of Computer Science and Information Technology Department of Computer ScienceSuperior UniversityLahore54000Pakistan Machine Learning Code(MLC)Lab Meharban HouseHouse Number 209Zafar ColonyOkara56300Pakistan Information Technology Services University of OkaraOkara56310Pakistan Department of Computer Science&Engineering University of Engineering&Technology LahoreNarowal CampusNarowal51601Pakistan Department of Computer Science and Software Engineering Al Ain UniversityAl Ain11671Abu Dhabi Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Algorithms for steganography are methods of hiding data transfers in media *** machine learning architectures have been presented recently to improve stego image identification performance by using spatial information,and these methods have made it feasible to handle a wide range of problems associated with image *** with little information or low payload are used by information embedding methods,but the goal of all contemporary research is to employ high-payload images for *** address the need for both low-and high-payload images,this work provides a machine-learning approach to steganography image classification that uses Curvelet transformation to efficiently extract characteristics from both type of *** Vector Machine(SVM),a commonplace classification technique,has been employed to determine whether the image is a stego or *** Wavelet Obtained Weights(WOW),Spatial Universal Wavelet Relative Distortion(S-UNIWARD),Highly Undetectable Steganography(HUGO),and Minimizing the Power of Optimal Detector(MiPOD)steganography techniques are used in a variety of experimental scenarios to evaluate the performance of the *** WOW at several payloads,the proposed approach proves its classification accuracy of 98.60%.It exhibits its superiority over SOTA methods.

关键词： Curvelets fast fourier transformation support vector machine high pass filters steganography

Comprehensive insights into recent innovations:Magnesium-inclusive high-entropy alloys

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Journal of Magnesium and Alloys 2024年第4期12卷 1311-1345页

作者： Andrii Babenko Ehsan Ghasali Saleem Raza Kahila Baghchesaraee Ye Cheng Asif Hayat Peng Liu Shuaifei Zhao yasin Orooji Shandong Vocational and Technical University of International Studies Rizhao 276826China Zhejiang Normal University Jinhua 321004China Geelong Institute for Frontier MaterialsDeakin UniversityVIC 3216Australia

This review focuses on thermodynamic and physical parameters,synthesis methods,and reported phases of Magnesium(Mg)containing high-entropy alloys(HEAs).Statistical data of publications concerning Mg-containing HEAs were collected and *** on the chemical elements included in Mg-containing HEAs,their theoretical end experimental densities,thermodynamic parameters,physical parameters,fabricated techniques and reported phases were also collected and *** the basis of this information,a new classification for HEAs was *** is also shown that the existing thermodynamic parameters cannot accurately predict the formation of a single phase solid solution for Mg-containing *** physical parameters of Mg-containing HEAs are within a wide range,and most of the synthesized Mg-containing HEAs have a complex multiphase structure.

关键词： Magnesium High-entropy alloys Classification Thermodynamic parameters Physical parameters

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Dual-wavelength all-fiber Q-switched fiber laser using bismuth-doped fiber as saturable absorber

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Optoelectronics Letters 2024年第3期20卷 147-151页

作者： Aruna Ghosh Abdulkadir Mukhtar Diblawe Uttam Kumar Samanta Moh yasin Sulaiman Wadi Harun Mukul Chandra Paul Fiber Optics and Photonics Division CSIR-Central Glass and Ceramic Research InstituteKolkata 700032India Physics Department Jadavpur UniversityKolkata 700032India Photonics Engineering Laboratory Department of Electrical EngineeringUniversity of MalayaKuala Lumpur 50603Malaysia Department of Physics Faculty of Science and TechnologyAirlangga UniversitySurabayaIndonesia

A passively Q-switched all-fiber laser is demonstrated using a 10-cm-long bismuth-doped fiber(BDF) as a saturable absorber(SA). The dual-wavelength operation was obtained due to the nonlinear effect inside the fabricated BDF, which has a high germanium content. Stable Q-switched pulses were obtained at the dual synchronous wavelengths of 1 530.1 nm and 1 531.1 nm. When the pump power is tuned from 105.3 mW to 191.0 mW, the repetition rate can be varied from 82.6 kMz to 117.6 kHz. The maximum pulse energy and average output power were 83.4 nJ and 9.8 mW, respectively while the minimum pulse width was 8.5 μs at the maximum pump power of 191.0 mW. Our results indicate that BDF could be a promising alternative optical modulator for pulsed fiber laser application.

关键词： fiber switched pump

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A novel medical image data protection scheme for smart healthcare system

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 821-836页

作者： Mujeeb Ur Rehman Arslan Shafique Muhammad Shahbaz Khan Maha Driss Wadii Boulila Yazeed yasin Ghadi Suresh Babu Changalasetty Majed Alhaisoni Jawad Ahmad School of Computer Science and Informatics Cyber Technology InstituteDe Montfort UniversityLeicesterUK Department of Biomedical Engineering University of GlasgowGlasgowUK School of Computing Engineering and the Built EnvironmentEdinburgh Napier UniversityEdinburghUK Robotics and Internet‐of‐Things Laboratory Prince Sultan UniversityRiyadhSaudi Arabia Department of Computer Science Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Engineering College of Computer Science King Khalid UniversityAbhaSaudi Arabia Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

The Internet of Multimedia Things(IoMT)refers to a network of interconnected multimedia devices that communicate with each other over the ***,smart healthcare has emerged as a significant application of the IoMT,particularly in the context of knowledge‐based learning *** healthcare systems leverage knowledge‐based learning to become more context‐aware,adaptable,and auditable while maintain-ing the ability to learn from historical *** smart healthcare systems,devices capture images,such as X‐rays,Magnetic Resonance *** security and integrity of these images are crucial for the databases used in knowledge‐based learning systems to foster structured decision‐making and enhance the learning abilities of ***,in knowledge‐driven systems,the storage and transmission of HD medical images exert a burden on the limited bandwidth of the communication channel,leading to data trans-mission *** address the security and latency concerns,this paper presents a lightweight medical image encryption scheme utilising bit‐plane decomposition and chaos *** results of the experiment yield entropy,energy,and correlation values of 7.999,0.0156,and 0.0001,*** validates the effectiveness of the encryption system proposed in this paper,which offers high‐quality encryption,a large key space,key sensitivity,and resistance to statistical attacks.

关键词： data analysis medical image processing security

Smart tailoring of molecular catalysts:Mounting approach to oxygen reduction reaction

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Journal of Materials Science & Technology 2024年第1期168卷 169-184页

作者： Anuj Kumar Mohd Ubaidullah Guoxin Zhang Jasvinder Kaur Saira Ajmal Mudassir Hasan Krishna Kumar Yadav Hafiz M.Adeel Sharif Ram K.Gupta Ghulam yasin Nano-Technology Research Laboratory Department of ChemistryGLA UniversityMathuraUttar Pradesh 281406India Department of Chemistry College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdaoShandong 266590China Institute for Advanced Study Shenzhen UniversityShenzhenGuangdong 518060China Department of Chemistry Kansas Polymer Research CenterPittsburg State UniversityPittsburgKS 66762United States Faculty of Science and Technology Madhyanchal Professional UniversityRatibadBhopal 462044India Environmental and Atmospheric Sciences Research Group Scientific Research CenterAl-Ayen UniversityThi-QarNasiriyah 64001Iraq Department of Chemical Engineering King Khalid University Saudi Arabia Department of Chemistry School of SciencesIFTM UniversityMoradabadUttar Pradesh 244102India Research Center for Eco-Environmental Engineering Dongguan University of TechnologyDongguan 523808China School of Environment and Civil Engineering Dongguan University of TechnologyDongguanGuangdong 523808China

Efficient electrocatalytic rupture of energy-rich molecules(H_(2)and O_(2))is a green approach for gener-ating clean energy for modern *** this context,porphyry-type molecular electrocatalysts act intelligently toward oxygen reduction reaction(ORR),a fundamental process in fuel cells,due to their redox-rich chemistry,which involves core metal ions and macrocyclic *** concerned scientific community has tried many times to correlate the ORR intermediates with their formation kinetics and simplify the associated multi H+/e-stages during the ORR process,constructing several volcano plots be-tween catalytic Tafel data,turnover frequencies,and overpotentials for many *** the fact that many review articles on molecular electrocatalysts for ORR have been published,understanding the strategic implications and molecular catalyst intelligence towards homogenous ORR has been poorly *** review examined the relationships between volcano plots of current *** parameters and the Sabatier principle in order to explain the intelligence of molecular electrocatalysts and approaches for their creation,as well as the difficulties and potential prospects of molecular *** facts distinguish this review from previously published articles and will pique the scien-tific community’s interest in avoiding trial-and-error procedures for catalyst creation while also allowing for more exact evaluations of the molecular catalyst’s performance.

关键词： Electrocatalysis Molecular catalysts Oxygen reduction reaction Sabatier principle

Fe,Co/NPs@GO双金属三维粒子电极电催化氧化卡马西平

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中国环境科学 2024年第8期44卷 4632-4640页

作者：周紫璇卓琼芳 Ghulam yasin 谢水波南华大学土木工程学院湖南衡阳421001 东莞理工学院生态环境与建筑工程学院东莞市新污染物重点实验室广东东莞523808

采用冷冻/碳化法制备了铁钴双金属粒子电极(Fe,Co/NPs@GO),并通过改善铁钴的前驱体比例优化了Fe,Co/NPs@GO双金属三维粒子电极体系对CBZ的降解性能,探讨电流密度和PMS投加量对CBZ降解的影响结果表明:0.15g/L的Fe,Co/NPs@GO(Fe:Co=1:1),3... 详细信息

采用冷冻/碳化法制备了铁钴双金属粒子电极(Fe,Co/NPs@GO),并通过改善铁钴的前驱体比例优化了Fe,Co/NPs@GO双金属三维粒子电极体系对CBZ的降解性能,探讨电流密度和PMS投加量对CBZ降解的影响结果表明:0.15g/L的Fe,Co/NPs@GO(Fe:Co=1:1),3mmol/L PMS,在20mA/cm^(2)的电流密度下,CBZ(1mg/L)在30min内的去除率达99.5%.与单纯的催化剂活化PMS体系相比,加入电催化条件后,CBZ的去除率提升了约37%.通过自由基淬灭实验及电子顺磁共振(EPR)证实,羟基自由基和单线态氧是降解CBZ的主导活性物种,并推测出CBZ在电催化耦合三维粒子电极活化过一硫酸盐(PMS)体系的降解机理.同时,粒子电极的循环利用实验表明,Fe,Co/NPs@GO粒子电极具有较好的催化稳定性和重复利用性.

关键词：三维粒子电极电化学氧化卡马西平过一硫酸盐铁钴双金属粒子电极

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