检索结果-内蒙古大学图书馆

International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)

作者： Sakshi Sharma Kaushal Kumar Baseem Khan rupendra Kumar Pachauri Ankur Kumar Gupta School of Advanced Engineering UPES Dehradun India Department of Electrical and Computer Engineering Hawassa University Hawassa Ethiopia Miyan Research Institute of Technology International University if Business Agriculture and Technology Dhaka Bangladesh R&D Department IIMT University Meerut India

ISBN: (数字)9798350364699

ISBN: (纸本)9798350364705

The scientific community has recently taken an interest in perovskite solar cells, often known as PSCs. dual halide PSC has the best efficiency reported in the literature at 20.9%. The purpose of this work is to improve a lead-free dual halide photovoltaic (PSC) by modifying the material of the hole transport layer (HTL) and the electron transport layer (ETL), as well as regulating the thickness of the absorber layer. In order to evaluate the device, the following metrics are taken into consideration: fill factor (FF), power conversion efficiency (PCE), open circuit voltage (VOC), and short circuit current density (JSC). With optimization, the gadget can reach an efficiency level of 24.03%. Further investigation into a tandem or dual structure method may be possible with this work.

关键词： Performance evaluation Sensitivity Photovoltaic cells Short-circuit currents Stability criteria Lead Perovskites Topology Solar panels Optimization

来源：评论

学校读者我要写书评

暂无评论

AC breakdown strength and EL inception field of TiO2/epoxy nanocomposites having different particle dispersion

AC breakdown strength and EL inception field of TiO2/epoxy n...

引用

23rd International Symposium on High Voltage Engineering (ISH 2023)

作者： M. Hirai M. Kurimoto K. Tohyama T. Sawada S. Yoshida T. Umemoto H. Muto Department of Electrical Engineering Nagoya University Nagoya Japan National Institute of Technology Numazu College Numazu Japan Advanced Technology R&D Center Mitsubishi Electric Corporation Amagasaki Japan

ISBN: (数字)9781839539923

We have revealed that AC breakdown strength of TiO 2 /epoxy nanocomposites having agglomerate sizes smaller than 0.5 μm is higher than that of the unfilled epoxy. This paper investigates AC breakdown strength and electroluminescence (EL) inception field of TiO 2 /epoxy nanocomposites having different particle dispersion as a basic study to clarify the mechanism of enhancing the breakdown strength. The particle dispersion of the TiO 2 /epoxy nanocomposites was controlled by using centrifugation. We prepared NC0H samples containing agglomerates and NC3H samples not containing the agglomerates larger than 0.05 μm. Compared to the unfilled epoxy, both the EL inception field and AC breakdown strength of NC3H were higher, while the EL inception field and AC breakdown strength of NC0H was lower.

关键词：

来源：评论

学校读者我要写书评

暂无评论

regulation of the activity interface in Ni–Co–Mn ternary aerogel catalysts for efficient water splitting

引用

New Journal of Chemistry 2025年第23期49卷 9918-9929页

作者： Lei Ma Zhi Chen Yongkang An Chengzhi Pang Fei Liang Shiwen Wang Xusheng Wang Shengbin Wang Sizhe Wang Research and Development Department (R&D) Shijiazhuang Shangtai Technology Co. Ltd Shijiazhuang Hebei Province 052463 China Yangtze Delta Region Institute (QuZhou) University of Electronic Science and Technology of China China School of Materials Science and Engineering Shaanxi Key Laboratory of Green Preparation and Functionalization for Inorganic Materials Shaanxi University of Science & Technology China

Extensive studies have demonstrated that multi-element doping can effectively modulate the surface electronic structure of catalysts, significantly enhancing their catalytic performance beyond their single-element counterparts for water splitting. However, the fundamental mechanisms governing how distinct elemental compositions influence the activity-stability trade-off remain insufficiently explored. Inspired by the compositional engineering strategy used for Ni–Co–Mn ternary cathodes (Li(Ni_xCo_yMn_1−x−y)O₂, denoted as NCM) in lithium-ion batteries, we systematically investigated NCM aerogel catalysts with varying stoichiometric ratios (NCM111, NCM523, NCM622, and NCM811) for bifunctional water electrolysis. dFT calculations reveal that Ni–Co–Mn can synergistically modulate the charge distribution of the multimetallic matrix, thereby optimizing the adsorption energetics of reaction intermediates. Electrochemical evaluations demonstrate that NCM111 achieves balanced activity and durability, delivering competitive overpotentials of 198 mV for the HEr and 358 mV for the OEr at 20 mA cm⁻² in alkaline media. This work provides a viable strategy for designing cost-effective, high-performance bifunctional catalysts through rational multi-element coordination, providing a materials-innovation bridge between energy storage and conversion technologies.

关键词： Lithium-ion batteries

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Optimal Ordering in Global routing Problems in Semiconductors

arXiv

引用

arXiv 2024年

作者： Choi, Heejin Lee, Minji Lee, Chang Hyeong Yang, Jaeho Seong, rak-Kyeong Department of Mathematical Sciences Ulsan National Institute of Science and Technology Ulsan Korea Republic of Samsung SDS AI Advanced Research Lab Samsung R&D Campus Seocho-Gu Seoul Korea Republic of

In this work, we propose a new method for ordering nets during the process of layer assignment in global routing problems. The global routing problems that we focus on in this work are based on routing problems that occur in the design of substrates in multilayered semiconductor packages. The proposed new method is based on machine learning techniques and we show that the proposed method supersedes conventional net ordering techniques based on heuristic score functions. We perform global routing experiments in multilayered semiconductor package environments in order to illustrate that the routing order based on our new proposed technique outperforms previous methods based on heuristics. Our approach of using machine learning for global routing targets specifically the net ordering step which we show in this work can be significantly improved by deep learning. © 2024, CC BY.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Cloud-Powered Neural Networks for Sustainable Fishing Practices and Stock Management System 4

Cloud-Powered Neural Networks for Sustainable Fishing Practi...

引用

4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Suresh, M. Xavier Prathik, A. Arun, V. Venugopal, r. Ganeshbabu, T.r. Muthulekshmi, M. School of Advanced Sciences and Languages Vit Bhopal University Department of Physics Madhya Pradesh Bhopal India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India School of Computing Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Kattankulathur Tamil Nadu Chennai India Department of Mathematics Tamil Nadu Salem India Department of Electronics and Communication Tamil Nadu Namakkal India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331540364

Sustainable fishing methods and efficient stock management are crucial considering growing environmental concerns;fishing practices and effective stock management are imperative. This research presents a novel approach that uses neural networks (NN) hosted in the cloud to transform sustainable fishing and stock management. This method trains NN to make predictions by combining several data sources, such as satellite images, weather patterns, and catch records. These models can reliably predict fish stocks' dynamics, giving stakeholders the information needed to make informed decisions. Crucial for real-time processing and storage of massive information is the scalability and flexibility offered by cloud infrastructure. This framework provides the appropriate usage of resources while simultaneously optimizing fishing tactics, which helps protect marine ecosystems. It demonstrates that method promotes sustainable fishing via thorough case studies and simulations. It provides a flexible and scalable solution to the problems confronting marine biodiversity and the fishing industry by combining advanced technology with ecological principles. To ensure a more egalitarian and sustainable future for fisheries management on a global scale, method is a giant leap forward in balancing commercial interests with environmental protection. Integrating data, ensuring sensors are accurate, managing huge datasets, managing regulatory compliance, and encouraging stakeholders to work together for sustainable practices are all challenges. © 2024 IEEE.

关键词： Fisheries

来源：评论

学校读者我要写书评

暂无评论

A Way of Making Smart Health Through Collaborating Machine Learning with the Bibliometrics 4

A Way of Making Smart Health Through Collaborating Machine L...

引用

4th IEEE International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Vignesh, T. Sruthi, P.S. Mohanraj, T. Kumar, Gaurav Varkale, Akshay Sheela, M.Sahaya Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering TN India Nehru Institute of Technology Department of Computer Science and Business System Tamil Nadu T.M. Palayam India Karpagam Academy of Higher Education Department of Computer Science Engineering India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh India M.P Bhopal India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350360165

It datasets are widely utilized, shared, and repurposed without providing enough context for understanding the decision-making processes that led to their creation. It is necessary to modify system creation and use procedures to handle the concrete effects of how knowledge for model building is envisioned and used in real-world applications as AI systems assume more and more important roles. documents are created at every phase of the data generation lifecycle to improve communication, aid in decision-making, and highlight the need of careful data work. By putting out this paradigm, we want to shed light on the choices and duties that are often disregarded while creating datasets, which is a crucial first step in bridging the duty of care gap in AI. This framework provides an essential and important resource for guaranteeing ethical AI activities, and it is in line with current developments in auditing procedures. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Machine parameters of flux-modulating hybrid field motors

引用

IEEJ Transactions on Industry Applications 2021年第5期141卷 431-437页

作者： Hongo, Kazuki Fukami, Tadashi Koyama, Masato Mitsuda, Hiroshi Ito, Kazumasa Department of Electrical and Electronic Engineering College of Engineering Kanazawa Institute of Technology 7-1 Ogigaoka Nonoichi921-8501 Japan Advanced Technology R&D Center Mitsubishi Electric Corp. 8-1-1 Tsukaguchi-Honmachi Amagasaki661-8661 Japan

In this study, we investigated the effect of the relative position of two stators, with relative angle α, on the machine parameters of flux-modulating hybrid field motors (FHMs). The FHMs are a new type of axial gap motors in which one rotor incorporating iron pieces is sandwiched between two stators, the armature, and the field poles. To consider the magnetic saturation and d-q axis cross-coupling, the machine parameters were calculated using a self-inductance model with current dependencies. From the results of this investigation, we observed the following: 1) The d-axis flux linkage due to the field poles was the highest when the value of α was maximized. 2) The α has an insignificant effect on the d- and q-axis self-inductances. These findings are useful for future designs of FHMs and their control systems. © 2021 The Institute of Electrical Engineers of Japan.

关键词： Synchronous motors

来源：评论

学校读者我要写书评

暂无评论

Performance Prediction Process of Outer rotor PMSM Through 3-d Flux Coefficient Using Equivalent 2-d FEA

Performance Prediction Process of Outer Rotor PMSM Through 3...

引用

IEEE Conference on Electromagnetic Field Computation

作者： Moo-Hyun Sung Kyoung-Soo Cha Young-Hoon Jung Jae-Han Sim Soon-O Kwon Myung-Seop Lim Department of Automotive Engineering(Automotive-Computer convergence) Hanyang University Seoul Republic of Korea Advanced Mechatronics R&D Group Korea Institute of Industrial Technology Daegu Republic of Korea Department of Automotive Engineering Yeungnam University Gyeongsan Republic of Korea Power Electronics Lab. H&A R&D Center LG Electronics Seoul Republic of Korea

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

In this article, we propose an equivalent 2-d finite element analysis (FEA) process considering the 3-d flux of an outer rotor permanent magnet synchronous motor (PMSM). In motor, 3-d flux such as axial leakage flux (ALF) and overhang fringing flux (OFF) are influenced based on design variables. 3-d FEA is required to consider the components of 3-d flux. However, 3-d FEA is inefficient to use during the design process because of time-consuming. Therefore, we propose an equivalent FEA that considers 3-d flux. First, the effects of ALF and OFF according to design variables such as rotor inner and outer diameter, stack length, and overhang length. Second, the 3-d flux is converted into coefficient. Finally, it is applied to 2-d FEA. Using the proposed process, motor performance considering 3-d flux can be quickly predicted. The proposed performance prediction process is verified through simulation and experiment.

关键词： rotors Permanent magnet motors Finite element analysis Electromagnetic fields

来源：评论

学校读者我要写书评

暂无评论

Eternal 1-security number of a fuzzy graph with level J

引用

International Journal of Knowledge-Based and Intelligent Engineering Systems 2024年第4期28卷 647-659页

作者： d, Mary Jiny Navamani, G. Shanmugapriya, r. Kumar, raman Stević, Željko Kumar, rajender Kumar, Sandeep Department of Mathematics Saveetha School of Engineering SIMATS Tamilnadu Chennai India Department of Mathematics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences SIMATS Tamilnadu Chennai India Department of Mathematics Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India Department of Mechanical and Production Engineering Guru Nanak Dev Engineering College Punjab Ludhiana India University of East Sarajevo Faculty of Transport and Traffic Engineering Bosnia and Herzegovina Department of Industrial and Management Engineering Korea University Seoul Korea Republic of University Centre for Research and Development University School of Business Chandigarh University Gharuan Punjab Mohali India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura India

The eternal 1-secure set, strategically protects graphical structures against attacks by placing sentinels within dominating sets. This study adapts this concept to real-world scenarios, like emergency response systems, by addressing challenges such as roadblocks and traffic congestion. We introduce the secure set and the eternal 1-secure set for fuzzy graphs based on edge membership levels J. Our analysis examines the relationship between the security number of a fuzzy graph G at level J and the domination number of its spanning subgraph at level J, demonstrating the potential of the eternal 1-secure set to enhance security measures in dynamic environments. © 2024 – IOS Press. All rights reserved.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

Study on tribological characteristics of Bio-Lubricant formed from Brassica napus oil

引用

Materials Today: Proceedings 2022年 62卷 1544-1549页

作者： Balambica, V. Baskar, S. Padmanabhan, S. Lal rinawa, Moti Borkar, dilip S. Sharma, Abhishek ruban, M. Department of Mechatronics Engineering Bharath Institute of Science and Technology Tamil Nadu Chennai600073 India Department of Automobile Engineering Vels Institute of Science Technology & Advanced Studies Chennai600117 India School of Mechanical and Construction Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai600062 India Department of Mechanical Engineering Government Engineering College Rajasthan Jhalawar326023 India Department of Mechanical Engineering Manoharbhai Patel Institute of Engineering and Technology Shahpur Maharashtra Bhandara441906 India Department of Mechanical Engineering Manipal University Jaipur Rajasthan Jaipur303007 India

Crude oil price is increasing day by day and the same time the universe's crude oil treasury is also reducing. The extensive use of crude oil derived products affects severely the environment worldwide. The replacement of conventional lubricating oil with vegetable oils-based bio-lubricants would be a promising option. Bio-related compounds are potential alternative lubricants because of their poor toxicity, fair lubrication, high flash point, improved machine life, good utilization, good friction coefficients, clear characteristic properties of multi-grade goods, lower rate of evaporation, and low environmental pollution which secured the environment from pollution. Therefore, green commodities like Brassica napus oil were introduced and their application investigated. It is essential to concentrate on renewable oils as lubricants to better understand the environmental and risk issues surrounding lubricants. This study is primarily concerned with assessing Brassica napus oil in accordance with the ASTM standard and proposing a 10% blend in order to maximize the lubricating properties of the oil. © 2022

关键词： ASTM standards

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：