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Ti_(3)AICN MAX for tailoring MgH_(2) hydrogen storage material:from performance to mechanism

Rare Metals 2023年第6期42卷 1923-1934页

作者： Xing-Qing Duan Guang-Xu Li Wen-Hui Zhang Hui Luo Hai-Mei Tang Li Xu Peng Sheng Xin-Hua Wang Xian-Tun Huang Cun-Ke Huang Zhi-Qiang Lan Wen-Zheng Zhou Jin Guo Mohammd Bin Ismail Hai-Zhen Liu Guangxi Novel Battery Materials Research Center of Engineering Technology Guangxi Colleges and Universities Key Laboratory of Novel Energy Materials and Related TechnologySchool of Physical Science and TechnologyGuangxi UniversityNanning530004China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co.Ltd.Beijing102209China Department of Materials Science and Engineering Zhejiang UniversityHangzhou310027China Department of Materials Science and Engineering Baise CollegeBaise533000China Energy Storage Research Group Faculty of Ocean Engineering Technology and InformaticsUniversiti Malaysia TerengganuKuala Nerus21030Malaysia

Many MXenes are efficient catalysts for MgH_(2)hydrogen storage ***,the synthesis of MXenes should consume a large amount of corrosive HF to etch out the Al layers from the transition metal aluminum carbides or nitrides(MAX) phases,which is environmentally *** this work,Ti_(3)AlCN MAX without HFetching was employed directly to observably enhance the kinetics and the cycling stability of MgH_(2).With addition of10 wt% Ti_(3)AlCN,the onset dehydrogenation temperature of MgH2 was dropped from 320 to 205℃,and the rehydrogenation of MgH2 under 6 MPa H2 began at as low as50℃.Furthermore,at 300℃,it could provide 6.2 wt% of hydrogen in 10 *** cycling,the composite underwent an activation process during the initial 40 cycles,with the reversible capacity increased from 4.7 wt% to 6.5 wt%.After that,the capacity showed almost no attenuation for up to 100 *** enhancing effect of Ti_(3)AICN on MgH_(2) was comparable to many *** was demonstrated that Ti_(3)AICN did not destabilize MgH_(2) but acted as an efficient catalyst for MgH_(2).Ti_(3)AICN was observed to be the active sites for the nucleation and growth of MgH_(2)and might also help in dissociation and recombination of hydrogen *** two factors are believed to contribute to the improvement of MgH_(2).This study not only provides a promising strategy for improving the hydrogen storage performances of MgH_(2) by using noncorrosive MAX materials,but also adds evidence of nucleation and growth of MgH_(2) on a catalyst.

关键词： Hydrogen storage Magnesium hydride MAX MXene Titanium aluminum carbonitride

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Efficient Power Control for UAV Based on Trajectory and Game Theory

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Computers, Materials & Continua 2023年第3期74卷 5589-5606页

作者： Fadhil Mukhlif Ashraf Osman Ibrahim Norafida Ithnin Roobaea Alroobaea Majed Alsafyani Information Assurance and Security Research Group(IASRG) School of ComputingFaculty of EngineeringUniversiti Teknologi MalaysiaJohorMalaysia Faculty of Computing and Informatics University Malaysia SabahKota KinabaluMalaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia

Due to the fact that network space is becoming more limited,the implementation of ultra-dense networks(UDNs)has the potential to enhance not only network coverage but also network *** Aerial Vehicle(UAV)communications have recently garnered a lot of attention due to the fact that they are extremely versatile and may be applied to a wide variety of contexts and purposes.A cognitive UAV is proposed as a solution for the Internet of Things ground terminal’s wireless nodes in this *** the IoT system,the UAV is utilised not only to determine how the resources should be distributed but also to provide power to the wireless *** quality of service(QoS)offered by the cognitive node was interpreted as a price-based utility function,which was demonstrated in the form of a non-cooperative game theory in order to maximise customers’net utility *** energyefficient non-cooperative game theory power allocation with pricing strategy abbreviated as(EE-NGPAP)is implemented in this study with two trajectories Spiral and Sigmoidal in order to facilitate effective power management in Internet of Things(IoT)wireless *** has also been demonstrated,theoretically and by the use of simulations,that the Nash equilibrium does exist and that it is one of a *** proposed energy harvesting approach was shown,through simulations,to significantly reduce the typical amount of power thatwas *** is taken into consideration to agree with the objective of 5G *** order to converge to Nash Equilibrium(NE),the method that is advised only needs roughly 4 iterations,which makes it easier to utilise in the real world,where things aren’t always the same.

关键词： UAV spiral&sigmoid trajectory drones IoT game theory energy efficiency 6G

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An assessment of water pollutions area in Terengganu River, Malaysia using unsupervised machine learning 4th

An assessment of water pollutions area in Terengganu River, ...

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4th International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2022

作者： Zamri, Nurnadiah Pairan, Mohammad Ammar Azman, Wan Nur Amira Wan Abdullah, Lazim Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Terengganu Besut22200 Malaysia Management Science Research Group Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Kuala Nerus21030 Malaysia

River, which supply 90% of the readily accessible water, are key elements of universal water source system. Terengganu River situated in Terengganu, Malaysia is a modern busy city known for tourism, fishing, and industry. Due to that, it has increased risk of water pollution exposure. Therefore, this paper proposes unsupervised ML include Autoencoder and Self-Organizing Map (SOM) for clustering water pollution area along the Terengganu River. Then, uses Silhouette analysis to assess the total of optimum clusters in a dataset. Next, applies Adjusted Rank Index (ARI) to discover the finest comparing within original data with Autoencoder and SOM. Lastly, applies Elbow method to double verify the most excellent clusters for each clustering algorithm. Lastly, lists of polluted area in each cluster are retrieved from 14 main sampling stations with 24 water quality parameters, including 405 water samples. Result shows different cluster with different water samples. Thus, offer different strategies to manage polluted area for Terengganu River. © 2023 The Authors. Published by Elsevier B.V.

关键词： Rivers

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Supplier Selection Incorporating Weights of Criteria using an Order Preference by Similarity Method and Interval-valued Intuitionistic Fuzzy Sets 8

Supplier Selection Incorporating Weights of Criteria using a...

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8th IEEE International Conference on Recent Advances and Innovations in engineering, ICRAIE 2023

作者： Abdullah, Lazim Najib, Norliana Mohd Azzah Awang, Noor Universiti Malaysia Terengganu Management Science Research Group Faculty of Ocean Engineering Technology and Informatics Kuala Terengganu Malaysia Universiti Teknologi Mara Kedah Branch Mathematical Sciences Studies College of Computing Informatics Mathematics Sungai Petani Campus Malaysia Universiti Teknologi Mara Mathematical Sciences Studies College of Computing Informatics Mathematics Shah Alam Malaysia

ISBN: (纸本)9798350315516

Choosing an appropriate supplier involving multiple choices is a complex decision to maximize the overall profit and increase customer satisfaction. This paper proposed the TOPSIS-based method and interval-valued intuitionistic fuzzy sets (IVIFS) to deal with multiplicity in solving food supplier selection. In this study, the qualitative evaluations concerning criteria are described by IVIFS linguistic variables. The linguistic evaluations are analyzed using the ten-step computational procedures including entropy weight of criteria and relative weight. The closeness coefficient and score degree of alternatives is obtained to select the best performer. The findings suggest that the supplier Hex-food (A3) was the most preferred as this alternative scored the highest closeness coefficient and score function and C3 (delivery performance) was the most important criterion. This study contributes to assisting the practicality of business in selecting the best supplier and provides some insights to the potential food manufacturers in choosing the appropriate supplier. © 2023 IEEE.

关键词： Customer satisfaction

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River quality classification using different distances in k-nearest neighbors algorithm

River quality classification using different distances in k-...

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2022 International Conference on Industry sciences and Computer science Innovation, iSCSi 2022

作者： Zamri, Nurnadiah Pairan, Mohammad Ammar Azman, Wan Nur Amira Wan Abas, Siti Sabariah Abdullah, Lazim Naim, Syibrah Tarmudi, Zamali Gao, Miaomiao Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Terengganu Besut Malaysia Management Science Research Group Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Malaysia Management Science Research Group Terengganu Kuala Nerus Malaysia Computer and Information Sciences University of Strathclyde Glasgow United Kingdom Universiti Technology MARA Johor Branch Johor Segamat Malaysia Faculty of Biology Medicine and Health School of Medical Siences University of Manchester Manchester United Kingdom

The practice of river quality classification usually uses Water Quality Index (WQI) to evaluate the WQI values of the river. However, due to huge data collection on river pollution with uncertain water quality parameter values, need to a different approach to classify the river quality. One of the supervised classification algorithms known as K-Nearest Neighbors (KNN) seems to give new approach for river quality classification where each data points are classified according to the k number or the closest data points neighbors. Therefore, the purpose of this paper is to apply different distances and distance-weighted in KNN for finding the most accurate river quality classification. The accuracy results are compared with Support Vector Machine (SVM) and Decision Tree (DT) algorithms. This KNN algorithm will give a different approach in classify the river quality. © 2022 Elsevier B.V.. All rights reserved.

关键词： Rivers

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A comparison of unsupervised and supervised machine learning algorithms to predict water pollutions

A comparison of unsupervised and supervised machine learning...

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2022 International Conference on Industry sciences and Computer science Innovation, iSCSi 2022

作者： Zamri, Nurnadiah Pairan, Mohammad Ammar Azman, Wan Nur Amira Wan Abas, Siti Sabariah Abdullah, Lazim Naim, Syibrah Tarmudi, Zamali Gao, Miaomiao Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Terengganu Besut Malaysia Management Science Research Group Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Malaysia Management Science Research Group Terengganu Kuala Nerus Malaysia Computer and Information Sciences University of Strathclyde Glasgow United Kingdom Universiti Technology MARA Johor Branch Segamat Johor Malaysia Faculty of Biology Medicine and Health School of Medical Siences University of Manchester Manchester United Kingdom

Clean and safe water is vital for our lives and public health. In recent decades, population growth, agriculture, industries, and climate change have worsened freshwater resource depletion and clean water pollution. Several studies have focused on water pollutions risk simulation and prediction in the presence of pollution hotspots. However, the increase and complexity of big data caused by uncertain water quality parameters led to a new efficient algorithm to trace the most accurate pollution hotspots. Therefore, this study proposes to offer different algorithms and comparative studies using Machine Learning (ML) algorithms. Ten different most widely used algorithms, including unsupervised and supervised ML, will be employed to categorize the pollution hotspots for the Terengganu River. Besides, we also validate algorithms' accuracies by improving and changing each parameter in ML algorithms. Our results list all the accurate and efficient ML algorithms for the classification of river pollutions. These results help to facilitate river prediction using efficient and accurate algorithms in various water quality scenario. © 2022 Elsevier B.V.. All rights reserved.

关键词： Rivers

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Ameliorating the re/dehydrogenation behaviour of MgH2 by zinc titanate addition

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Journal of Magnesium and Alloys 2023年第6期11卷 2205-2215页

作者： N.A.Ali N.A.Sazelee M.F.Md Din M.M.Nasef A.A.Jalil Haizen Liu M.Ismail Energy Storage Research Group Faculty of Ocean Engineering Technology and InformaticsUniversiti Malaysia Terengganu21030 Kuala NerusTerengganuMalaysia Department of Electrical and Electronic Engineering Faculty of EngineeringNational Defence University of MalaysiaKem Sungai BesiKuala LumpurMalaysia Center of Hydrogen Energy Institute of Future EnergyUniversiti Teknologi Malaysia81310 UTM Johor BahruJohorMalaysia Department of Chemical and Environmental Engineering Malaysia Japan International Institute of TechnologyUniversiti Teknologi MalaysiaJalan Sultan Yahya PetraKuala Lumpur 54100Malaysia Faculty of Chemical and Energy Engineering Universiti Teknologi Malaysia81310 UTM Johor BahruJohorMalaysia Guangxi Novel Battery Materials Research Center of Engineering Technology State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite StructuresSchool of Physical Science and TechnologyGuangxi UniversityNanning 530004China State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Nanning 530004China

Magnesium hydride(MgH_(2))is the most feasible and effective solid-state hydrogen storage material,which has excellent reversibility but initiates decomposing at high temperatures and has slow kinetics ***,zinc titanate(Zn_(2)TiO_(4))synthesised by the solid-state method was used as an additive to lower the initial temperature for dehydrogenation and enhance the re/dehydrogenation behaviour of MgH_(2).With the presence of Zn_(2)TiO_(4),the starting temperature for the dehydrogenation of MgH_(2)was remarkably lowered to around 290℃–305℃.In addition,within 300 s,the MgH_(2)–Zn_(2)TiO_(4)sample absorbed 5.0 wt.%of H_(2)and 2.2–3.6 wt.%H_(2)was liberated from the composite sample in 30 min,which is faster by 22–36 times than as-milled MgH_(2).The activation energy of the MgH_(2)for the dehydrogenation process was also downshifted to 105.5 k J/mol with the addition of Zn_(2)TiO_(4)indicating a decrease of 22%than as-milled MgH_(2).The superior behaviour of MgH_(2)was due to the formation of Mg Zn_(2),MgO and MgTiO_(3),which are responsible for ameliorating the re/dehydrogenation behaviour of MgH_(2).These findings provide a new understanding of the hydrogen storage behaviour of the catalysed-MgH_(2)system.

关键词： Hydrogen storage Solid-state storage MgH_(2) Additive Zn_(2)TiO_(4)

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Image Captioning with Reinforcement Learning 2

Image Captioning with Reinforcement Learning

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2nd IEEE International Conference on Computer Vision and Machine Intelligence, CVMI 2023

作者： Verma, Anand Agarwal, Saurabh Arya, K.V. Petrlik, Ivan Esparza, Roberto Rodriguez, Ciro ABV-IIITM Gwalior Department of Information Technology Madhya Pradesh 474015 India ABV-Indian Institute of Information Technology and Management Multimedia and Information Security Research Group Department of Computer Science and Engineering Gwalior474015 India National University Federico Villarreal Faculty of Industrial and Systems Engineering Lima Peru National University Mayor de San Marcos Faculty of Systems Engineering and Informatics Peru

ISBN: (纸本)9798350305142

Image captioning involves generating a natural language description that accurately represents the content and context of an image. To achieve this, image captioning utilises various machine learning techniques and fields, such as computer vision and natural language processing. In the field of image captioning, a lot of advances have been made with encoder-decoder models and reinforcement learning algorithms. However, there are still problems of imbalance between testing and training, as reinforcement learning only handles single comparator metrics such as CIDEr, SPICE, and BLEU and could not perform better in multiple metrics at once. Which is why a lack of diversity can be seen in generated captions. This idea proposes a general technique for collaborative updating that can bridge the gap between evaluation measures and test metrics to produce captions that are more human-like. To increase the precision of image captions, the approach involves using a compiled reward system that considers multiple evaluation metrics to compare the generated sentence with the provided sentences. We will evaluate the model's performance and the reward updating process on standard datasets like MS COCO. © 2023 IEEE.

关键词： Reinforcement learning

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The landscape of safety management systems research: A scientometric analysis

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Journal of Safety science and Resilience 2022年第3期3卷 189-208页

作者： Floris Goerlandt Jie Li Genserik Reniers Department of Industrial Engineering Dalhousie UniversityHalifaxNova Scotia B3H 4R2Canada Department of Safety Science and Engineering School of Ocean Science and EngineeringShanghai Maritime UniversityShanghai 201306China State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 10081China Safety and Security Science Faculty of TechnologyPolicy and ManagementDelft University of TechnologyDelft 2629 HZthe Netherland Faculty of Applied Economics Antwerp Research Group on Safety and Security(ARGoSS)University of AntwerpAntwerp 2000Belgium CEDON KU LeuvenBrussels 1000Belgium

Safety management systems(SMSs)are widely applied across many industrial sectors,and a large body of liter-ature has been published addressing their design,implementation,effectiveness,and associated *** article presents a high-level analysis of the SMS research domain,guided by a set of questions addressing the contents,structure,and evolution the research domain,its dominant themes and focus topics,the key scientific domains and journals contributing to its development,and the key publications serving as an intellectual basis for SMS related *** results show a rapidly increasing volume of research outputs and a shift from re-search based in North America and Europe to Asia and *** is only a limited number of institutions enduringly contributing to the field,and there are relatively few stable research collaborations,with the number of Chinese institutions publishing SMS related research fast expanding in recent *** domain is strongly interdisciplinary and embedded in applied domains of science,with industrial engineering the most contribut-ing category,as well as categories focusing on the industrial application domains.A temporal evolution of the research activity in different application domains is apparent,with an initial focus on occupational health and safety,followed by process safety,patient safety,food safety,and construction *** research has a strong relation to safety culture and safety climate research,and while safety and risk management concepts and theo-ries form an important knowledge base for most application domains,the dominant views on accident causation differ between *** on SMS in the food industry is relatively separated from the other application *** on the findings,various future research directions are discussed.

关键词： Safety management system Bibliometrics Scientometrics VOSviewer CiteSpace

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Relative magnetic field and slipping effect on Casson dusty fluid of two phase fluctuating flow over inclined parallel plate

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South African Journal of Chemical engineering 2023年 44卷 135-146页

作者： khan, Dolat Kumam, Poom Kumam, Wiyada Suttiarporn, Panawan Rehman, Ali Fixed Point Research Laboratory Fixed Point Theory and Applications Research Group Center of Excellence in Theoretical and Computational Science (TaCS-CoE) Faculty of Science King Mongkut's University of Technology Thonburi (KMUTT) 126 Pracha Uthit Rd. Bang Mod Bangkok Thung Khru 10140 Thailand Center of Excellence in Theoretical and Computational Science (TaCS-CoE) Faculty of Science King Mongkut's University of Technology Thonburi (KMUTT) 126 Pracha Uthit Rd. Bang Mod Bangkok Thung Khru 10140 Thailand Applied Mathematics for Science and Engineering Research Unit (AMSERU) Program in Applied Statistics Department of Mathematics and Computer Science Faculty of Science and Technology Rajamangala University of Technology Thanyaburi (RMUTT) Pathum Thani 12110 Thailand Faculty of Science Energy and Environment King Mongkut's University of Technology North Bangkok Rayong Campus Rayong 21120 Thailand Special Interest Group for Modelling and Data Analytics Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Kuala Nerus 21030 Malaysia

Due to its significant applications in magnetic devices for cell separation, magnetic drugs for cancer tumor treatment, blood flow adjustment during surgery, magnetic endoscopy, and fluid pumping in industrial and engineering processes, magnetohydrodynamics (MHD) has a wide range of applications. Therefore, the aim of this study to investigate the Relative Magnetic Field and slipping effect on Casson dusty fluid of two-phase fluctuating flow over inclined parallel plate. More exactly, the relative magnetic phenomena are fixed relatively to the plate (MFFRP) or fixed relatively to the fluid (MFFRF). The mathematical modeling was established as the set of partial differential equations for dusty Casson fluid. Buckingham's pi theorem is used to find out the dimensionless variables, to make our system dimensionless. The solution in perturb form is to find out by incorporating Poincare–Lighthill perturbation technique (PLPT). To know in-depth different parameters the graphical results for both velocities are plotted with the help of software Mathcad- 15. It is clearly detected that the relative magnetic field performs a vital part in the fluid as well as particle motion. Moreover, the relative magnetic field play a vital role in the decreasing of skin friction of both plates. © 2023

关键词： Brinkman fluid Dust particles Fluctuating vertical plate Inclined relative magnetic field PLPT

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