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

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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Retraction Note: Exploring subcellular location anomalies: a novel quantum bioimaging paradigm

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Optical and Quantum Electronics 2024年第11期56卷 1-2页

作者： Kumar, Kailash Abbas, Syed Hauider Gupta, Manish Waris, Saiyed Faiayaz Bordoloi, Dibyahash Kirubakaran, M. K. College of Computing and Informatics Saudi Electronic University Riyadh Kingdom of Saudi Arabia Department of Computer Science and Engineering Integral University Lucknow India Department of Electronics and Communication Engineering GLA University Mathura India Department of Computer Science and Engineering Vignan’s Foundation for Science Technology and Research Vadlamudi Guntur India Department of Computer Science and Engineering Graphic Era Hill University Dehradun India Department of Artificial Intelligence and Data Science St. Joseph’s Institute of Technology Chennai India

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Navigation Design to Improve Interaction Technique in Multi-Browser Virtual Environment 15

Navigation Design to Improve Interaction Technique in Multi-...

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15th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2024

作者： Ichsan, Mochammad Hannats Hanafi Sik-Lanyi, Cecilia Guzsvinecz, Tibor Department of Electrical Engineering and Information Systems Faculty of Information Technology University of Pannonia Egyetem u. 10 Veszprem8200 Hungary Department of Informatics Faculty of Computer Science Brawijaya University Malang Indonesia Hungarian Research Network Piarista u. 4 Budapest1052 Hungary Department of Information Technology and its Applications Faculty of Information Technology University of Pannonia Gasparich M. u. 18/A Zalaegerszeg8900 Hungary

ISBN: (纸本)9798350378245

Efficient, precise, and intuitive navigation in a Virtual Environment (VE) or in desktop Virtual Reality (VR) is critical to improving user experience. This research introduces three navigation designs for physical embodiment inside VE using a computer mouse for multi-browser VE in desktop VR based on navigation possibilities. Navigation is intended for the First-Person Shooter (FPS) perspective: Intuitive Navigation (IntuNav), Edge Shift Navigation (EdgeNav), and Twist Shift Navigation (TwistNav). IntuNav uses mouse x and y coordinate movements to move and rotate the camera. EdgeNav relies on the cursor positioning at the edge of the screen for camera rotation and movement. TwistNav uses a middle click and right mouse click for camera movement and rotation. The current navigation design has been implemented in Unity with C#. This research proposed three model designs based on feasible navigation possibilities, which shows that each navigation model has unique advantages that can be adapted to user needs and preferences. Based on the test results using the System Usability Scale, IntuNav and EdgeNav obtained good results and can be used for further development. © 2024 IEEE.

关键词： Virtual environments

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Durability Prediction Model of Reflector Material Against Solar Energy in Corrosive Environment

Durability Prediction Model of Reflector Material Against So...

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2022 International Conference on science and technology, ICOSTECH 2022

作者： Manurian, Wahyu Padeli Supriati, Ruli Cahyadi, Dede Cesna, Galih Putra University of Raharja Master of Informatics Management Tangerang Indonesia University of Raharja Master of Computer Science Tangerang Indonesia University of Raharja Master of Technology Information Tangerang Indonesia University of Raharja Department of Informatics Engineering Tangerang Indonesia

ISBN: (纸本)9781665479851

Concentrated solar energy technology plays an essential role in today's energy turnarounds. Face our society. The energy generated by this technology is highly dependent on the optical behavior of the reflector material of the solar cell. Corrosion of solar reflectors can be a problem in areas with high corrosion levels Severe environments, such as excessive corrosion of solar mirrors can have a devastating impact on the feasibility of centralized solar thermal systems. This study focuses on modeling the shelf life of four different things. Sunlight reflective material exposed outdoors by accelerated deterioration test. For this purpose, ten suitable locations to concentrate solar thermal applications were classified according to their corrosive aggression. Commercially available free leed and low-cost reflector samples were exposed everywhere to determine the effect of corrosion on durability. Corrosion defects on the solar reflector during outdoor exposure Reproduced correctly in the CASS test. A new life prediction model has been developed for all solar reflectors Depending on the corrosive aggression of the place. Number and thickness of paint layers used in Solar mirrors are recognized as essential parameters for improving energy production. Identified CSP system in a corrosive environment. Expected to reduce capital investment in purchasing solar mirrors For places with low corrosiveness. © 2022 IEEE.

关键词： Durability

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Magnetron co-sputtering synthesis and nanoindentation studies of nanocrystalline(TiZrHf)_(x)(NbTa)_(1–x)high-entropy alloy thin films

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Nano Research 2022年第6期15卷 4873-4879页

作者： Changjun Cheng Xiaofu Zhang Michel J.R.Haché Yu Zou Department of Materials Science and Engineering University of TorontoTorontoOntario M5S 3E4Canada State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology and Center for Excellence in Superconducting ElectronicsChinese Academy of Sciences(CAS)Shanghai 200050China

Refractory high-entropy alloys(HEAs)possess many useful properties such as high strength and high-temperature *** far,most studies on refractory HEAs have been limited to a few well-known compositions and on their coarse-grain bulk *** we fabricate nanocrystalline(TiZrHf)_(x)(NbTa)_(1−x)HEA thin films with a large range of compositions(x=0.07–0.90)by the direct current(DC)magnetron co-sputtering technique and measure their mechanical properties using the nanoindentation *** the as-deposited HEA thin films show a solid-solution body-centered cubic(bcc)*** the compositional ratio(x)increases,the elastic modulus decreases from 153 to 123 GPa,following the trend of the rule of *** x increases,the hardness first decreases from 6.5 GPa(x=0.07)to the lowest value(4.6 GPa,x=0.48)and then increases to the highest value(7.1 GPa,x=0.90),showing a concave *** change in hardness might be attributed to the combinational influence caused by the atomic size and modulus effects,as well as the texture *** authors also propose a few open questions for future studies on this and related HEA systems.

关键词： high-entropy alloys nanocrystalline alloys refractory metals thin films magnetron co-sputtering nanoindentation

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Corrupted EEG Self-Robust Motion Intention Recognition Method with Multi-Graph Fusion Enhanced Convolutional Network*

Corrupted EEG Self-Robust Motion Intention Recognition Metho...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Kecheng Shi Fengjun Mu Zhe Li Jianzhi Lyu Rui Huang Chaobin Zou Hong Cheng Jianwei Zhang School of Automation Engineering University of Electronic Science and Technology of China Chengdu Sichuan China Department of Informatics University of Hamburg Hamburg Germany

ISBN: (数字)9798350385724

ISBN: (纸本)9798350385731

Motor imagery brain-computer interfaces (MI-BCI) are a promising emerging technique in hemiplegia rehabilitation training. However, the collected electroencephalogram (EEG) data from real-world scenarios contains notable noise and data channels missing, and the MI-EEG data varies significantly from subject to subject. It requires BCI decoding methods to have higher robustness to data defects and good generalization ability to new subjects. This paper proposes a Multi-Graph Fusion Enhanced Network (MGFENet) for motion intention recognition. The MGFENet establishes a dynamic channel selection module to enhance the robustness of the notable noise and data channel missing, and a graph fusion-enhanced convolutional neural network is proposed to extract personalized and shared spatial topological features under different frequency bands for different subjects, to accommodate the differences in the MI process of different subjects and commonalities. Extensive experiments on one challenging benchmark show that our approach significantly outperforms previous methods, which can archive an accuracy of 68.73% and 58.04% in the within-subject and cross-subject cases, respectively. The robustness analysis demonstrates that our approach can maintain an accuracy of 60.41% even when half of the channels are corrupted.

关键词： Training Accuracy Noise Resists Feature extraction Motors Electroencephalography Robustness Convolutional neural networks Robots

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The Concept of Levels of Detail for 3D Niche Models in CityGML

The Concept of Levels of Detail for 3D Niche Models in CityG...

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2024 Mid-term Symposium on Spatial Information to Empower the Metaverse

作者： Yang, Su Chen, Jun Hou, Miaole Fan, Hongchao Li, Songnian Sun, Yingkui Beijing100083 China National Geomatics Centre of China Beijing100036 China School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and Architecture Beijing100044 China Department of Civil and Environmental Engineering Norwegian University of Science and Technology Trondheim7491 Norway Department of Civil Engineering Toronto Metropolitan University TorontoONM5B 2K3 Canada

Buddhist niches in grottoes can be represented in three-dimensional (3D) for their detailed geometries on surfaces by using triangular meshes generated from point clouds. However, not all applications require 3D models with high geometric detail. The mesh models of niches have drawbacks such as large data volumes, lack of semantic information, and absence of spatial relationships between structural components and members within niches. Those limitations make mesh models suitable only for visualization and challenging to use directly in tasks like spatial analysis, simulation experiments, mechanical analysis, and disease investigation. To address this problem, this study defines four Levels of Detail (LoDs) for Buddhist niches, ranging from LoD0 to LoD3, drawing on the concept of LoDs for urban buildings in CityGML 3.0. As the LoD level increases, 3D models contain more detailed geometries, including spatial points, bounding boxes, niche structural components, and component members. Those 3D models at different LoDs can represent niches with varying degrees of abstraction, making them suitable for different applications and guiding the production of standardized 3D semantic models. To validate the feasibility of the LoDs definition for Buddha niches, this paper reconstructs 3D models of niches at different LoDs based on high-precision mesh models. Finally, a comparison is made between the original mesh model and models at different LoDs in terms of data size and potential application scenarios. © Author(s) 2024.

关键词： Mesh generation

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OPTIMIZATION METHOD OF THE INDUSTRIAL VALUE CHAIN CONFIGURATION HEADQUARTER-CENTERED GROUP-TYPE MANUFACTURING ENTERPRISES CONSIDERING SYNERGY RELATIONSHIPS 51

OPTIMIZATION METHOD OF THE INDUSTRIAL VALUE CHAIN CONFIGURAT...

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51st International Conference on Computers and Industrial engineering, CIE 2024

作者： Qiu, Xiao-Hui Qu, Ting Huang, Hai-Nan Ma, Lin Nie, Du-Xian Guangdong International Cooperation Base of Science and Technology for GBA Smart Logistics Jinan University Zhuhai519070 China Department of Industrial and Systems Engineering The Hong Kong Polytechnic University 999077 Hong Kong College of Mathematics and Informatics South China Agricultural University Guangzhou510642 China

With the development of Industry 4.0, the distributed manufacturing model has become the mainstream trend. In the new economic environment, the industrial chain as an economic unit pays more attention to macro-level resource coordination and value co-creation. However, current research pays less attention to the multi-dimensional value co-creation and Synergy relationships. Therefore, this paper studies the industrial value chain configuration problem of an assembly product headquarter-centered group-type manufacturing enterprise and proposes a two-stage configuration method. At the same time, it defines multi-dimensional value objectives and synergy relationship coefficients and proposes an industrial value chain optimization configuration method based on the ALC method. © 2024 Computers and Industrial engineering. All rights reserved.

关键词： Smart manufacturing

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Enhancing Smart Mobility Through Machine Learning and Neural Networks

Enhancing Smart Mobility Through Machine Learning and Neural...

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Wireless and Optical Technologies (GCWOT), 2020 Global Conference on

作者： Muhammad Nadeem Waleej Haider Haris Ahmed Sallar Khan Department of Computer Science & Information Technology Sir Syed University of Engineering & Technology Karachi Pakistan School of Informatics & Cybersecurity Technological University Dublin Dublin Ireland

ISBN: (数字)9798331534271

ISBN: (纸本)9798331534288

This study investigates the prediction of taxi trip durations in New York City using machine learning (ML) models and neural networks (NN). Three models Linear Regression, Random Forest Regressor, and a Neural Network were developed and evaluated on a dataset containing various trip details. The analysis highlighted the importance of geographic and temporal features in predicting trip durations. The Neural Network model outperformed others, achieving a mean squared error (MSE) of 12,577,211 and a root mean squared error (RMSE) of 3,546, significantly better than the comparative models. These results underscore its capacity to capture complex urban mobility patterns effectively. The superior performance of the Neural Network supports its potential to optimize traffic flow and reduce congestion in dense urban environments, offering substantial improvements to urban transportation systems.

关键词： Wireless communication Soft sensors Neural networks Linear regression Urban planning Predictive models Data models Socioeconomics Random forests Public transportation

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