检索结果-内蒙古大学图书馆

Advanced Etch technology and Process Integration for Nanopatterning XII 2023

作者： Shinoda, Kazunori Miyoshi, Nobuya Kobayashi, Hiroyuki Izawa, Masaru Ishikawa, Kenji Hori, Masaru Research and Development Group Hitachi Ltd. Tokyo185-8601 Japan Nano-Technology Solution Business Group Hitachi High-Tech Tokyo105-6409 Japan Center for Low-temperature Plasma Sciences Nagoya University Nagoya464-8603 Japan

ISBN: (数字)9781510661066

ISBN: (纸本)9781510661059

There has been considerable interest in the development of isotropic atomic layer etching (ALE) for the conformal removal of thin films. Material selectivity is crucial for the development of isotropic ALE because the next generation of semiconductor devices will be constructed with miniaturized 3D structures using a variety of very thin films. We developed plasma-assisted thermal-cyclic ALE, which is a repetition of surface modification by plasma exposure and removal of the modified surface by infrared heating. We developed a 300-mm tool, namely, dry chemical removal (DCR), which is equipped with an inductively coupled plasma (ICP) source and infrared lamps, to facilitate rapid thermal desorption of the modified surface. An important feature of the plasma-assisted thermal-cyclic ALE is that it has more tuning knobs than that of conventional ALE because it uses two temperatures: a low temperature for surface modification and an elevated temperature for the removal of the modified surface. This paper presents the selective ALE of various materials, i.e., Si3N4, TiN, W, and SiGe using the developed tool. The mechanisms of the selectivity are divided into two categories: formation of an ammonium salt-based modified layer and selectivity control by adjusting the infrared heating time. This paper reviews the selective ALE mechanisms, focusing on the results of in situ analysis of surface reactions, and presents some of the latest findings. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Etching

来源：评论

学校读者我要写书评

暂无评论

Tailoring S-scheme-based carbon nanotubes(CNTs)mediated Ag-CuBi_(2)O_(4)/Bi_(2)S_(3)nanomaterials for photocatalytic dyes degradation in the aqueous system

引用

Journal of Materials Science & technology 2023年第31期162卷 11-24页

作者： Vishal Dutta Anita Sudhaik Sonu Pankaj Raizada Archana Singh Tansir Ahamad Sourbh Thakur Quyet Van Le Van-Huy Nguyen Pardeep Singh School of Advanced Chemical Sciences Shoolini UniversitySolanHimachal Pradesh173212India Department of Chemistry University Centre for Research and DevelopmentChandigarh UniversityGharuanMohaliPunjabIndia Advanced Materials and Processes Research Institute Hoshangabad RoadBhopal462026MPIndia Department of Chemistry College of ScienceKing Saud UniversityRiyadhSaudi Arabia Department of Organic Chemistry Bioorganic Chemistry and BiotechnologySilesian University of TechnologyB.Krzywoustego 444-100 GliwicePoland Department of Materials Science and Engineering Institute of Green Manufacturing TechnologyKorea University145Anam-ro Seongbuk-guSeoul02841Republic of Korea Faculty of Allied Health Sciences Chettinad Hospital and Research InstituteChettinad Academy of Research and EducationKelambakkam603103Tamil NaduIndia

In this study,S-scheme-based hydrothermal synthesis of Ag-CuBi_(2)O_(4)/CNTs/Bi_(2)S_(3)layered composites has been successfully *** photo-degradation of toxic dyes,*** orange(MO),and methylene blue(MB),has been used to examine nanocomposites with varying weight percent of Bi_(2)S_(3)for photocat-alytic activity in the visible *** candidates,Ag-CuBi_(2)O_(4)/CNTs/Bi_(2)S_(3)with a 10%loading of Bi_(2)S_(3)outperformed both pure and hybrid composites in photocatalytic *** MO degradation,the hybrid composite with 10%Bi_(2)S_(3)loading degrades 7.04 times higher than pristine CuBi_(2)O_(4)and Bi_(2)S_(3)samples,and for MB degradation,it degrades 4.96 times higher than pristine *** surface area,less re-combination rate of photogenerated charge carriers,photogenerated carriers faster separation,and high redox ability of Ag-CuBi_(2)O_(4)/CNTs/Bi_(2)S_(3)(10%)are all attributed to the improving photocatalytic *** after ten cycles,the hybrid composite is chemically stable and *** nanotubes(CNTs)are a transfer bridge in layered structure for electrons because of their coordinated Fermi level between Ag-CuBi_(2)O_(4)and Bi_(2)S_(3).In addition,the scavenger and electron spin resonance(ESR)experiments verified that·O_(2)^(−),·OH,and h+were the important reactive species that successfully facilitated the pho-tocatalytic degradation process to degrade *** study presents a straightforward and economical approach for obtaining a stable semiconductor-based photocatalytic system and a potential technique for future applications.

关键词： Ag-CuBi_(2)O_(4) Bi_(2)S_(3) Carbon nanotubes(CNTs) S-scheme charge transfer Dye degradation

来源：评论

学校读者我要写书评

暂无评论

A Deep Study on Encroachment Recognition Model through W-S-N and I-O-T 4

A Deep Study on Encroachment Recognition Model through W-S-N...

引用

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

作者： Dixit, Krishna Kant Singh, Satyendra Kiran, P. Ravi Al-Attabi, Kassem Sinha, Aashna Angadi, Sanjeev Kumar Gla University Department of Electrical Engineering Mathura India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Cmr College of Engineering & Technology Department of Ece India The Islamic University Najaf Iraq Uttaranchal University Divison of Research and Innovation School of Applied and Life Sciences Uttarakhand Dehradun India Nutan College of Engineering and Research Computer Science and Engineering Pune Maharashtra Talegaon Dabhade India

ISBN: (纸本)9798350360165

The burgeoning challenge of Internet of Things (IoT) technology heralds' transformative capability for agriculture, mainly in enhancing the safety and operational performance of huge-scale farmlands. This paper introduces an revolutionary IoT-based framework that synergizes Global System for Mobile Communication (GSM) and Global Positioning System (GPS) modules to forge a whole, actual-time tracking and intrusion detection answer tailored for agricultural domain names. Our proposed framework is designed to address the dual demanding situations of optimizing farm management practices while ensuring robust safety in competition to capacity intrusions. By deploying a network of brand-new sensors across farmlands, our system enables the seamless collection, evaluation, and transmission of essential environmental statistics, thereby enabling farmers to make knowledgeable alternatives all of sudden. Furthermore, the combination of GSM and GPS technology enhances the tool's functionality to without delay alert farmers about unusual sports activities, making sure immediate reaction to protection breaches. The pilot deployment of our framework demonstrates its effectiveness in no longer best substantially improving tracking accuracy however moreover in bolstering the safety of agricultural lands towards unauthorized get right of entry to. © 2024 IEEE.

关键词： Farms

来源：评论

学校读者我要写书评

暂无评论

BERT-KAIM: A Knowledge-Augmented Model for Domain-Specific Tasks with Learnable Activation Functions and Mixed Precision Training

BERT-KAIM: A Knowledge-Augmented Model for Domain-Specific T...

引用

IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Haiyang Jiang Yingying Liu Haixiang Wang Yao Zheng Kun Hou Jingyuan Li Haoliang Zhang School of Computer and Artificial Intelligence Beijing Technology and Business University Beijing China Research and Development Center of TravelSky Technology Limited Beijing China Henan Institute of Advanced Technology Zhengzhou University Zhengzhou China

ISBN: (数字)9798331504946

ISBN: (纸本)9798331504953

The rapid development of pre-trained large language models, such as BERT, brings convenience but also comes with optimization challenges. The performance of large language models in domain-specific tasks has room for improvement. When dealing with tasks in specific domains, it may be beneficial to incorporate relevant domain knowledge for reasoning and training the model, allowing it to better adapt to domain-specific tasks and thereby improve its performance. However, an issue that arises from integrating too much knowledge is the potential for the original meaning to be distorted, leading to a decline in performance. By using graph activation functions and mixed precision training, the model can achieve better training speed and greater diversity and generalization when learning graph structures. Based on these challenges and improvements, we propose a new model, BERT-KAIM, which integrates domain knowledge graphs into BERT, incorporates learnable activation functions, and uses mixed precision training to enhance the model's performance, as validated by experimental results.

关键词： Training Adaptation models Sentiment analysis Large language models Semantics Knowledge graphs Performance gain Data models Intelligent agents Optimization

来源：评论

学校读者我要写书评

暂无评论

A Binary Sparse Uniform Modem System for Resource Allocation in 5G and Beyond Networks 4

A Binary Sparse Uniform Modem System for Resource Allocation...

引用

4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Saravanan, G. Alfatlawy, Ramy Kaur, Kirtanjot Devi, K. Kavitha Anita Sofia Liz, D.R. Sri Sairam Institute of Technology Department of Electronics and Communication Engineering Chennai India College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq University Centre for Research & Development Chandigarh University Mohali India Srm Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India New Prince Shri Bhavani College of Engineering and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350352931

In this era, resource allocation in 5th Generation (5G) and beyond networks establishes an effective, dynamic and intelligent management for resources of networks. However, the traditional Machine Learning (ML) and Deep Learning (DL) approaches exhibit challenges like latency optimization, user mobility and spectrum efficiency for improved network performance. In order to solve these issues, the proposed model utilizes Binary Sparse Uniform Modem (BSUM) for resource allocation. Primarily, the Deep Slice and Secure 5G & Long Term Evolution (LTE) Wireless dataset is used for allocating the resources. Subsequently, the preprocessing technique accompanies Normalization, Scaling and Transformation which helps for aligning feature scales, avoiding from dominant features that leads to equitable and optimized allocation of resources like spectrum and power. Next step involves extraction of features using Deep Convolutional Neural Networks (DCNN) that helps in identification of patterns and relationships and enhancing the scalability. Further, Classification model is incorporated with BSUM for adapting seamless dynamic environment of networks and preliminaries required for resource allocation. The results of the proposed model are superior to the existing models by achieving 35.92 Megabits Per Second (MBPS) and 89.23% Interactivity score. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Approach on Efficient Routing Efficient Techniques in Wireless Sensor Network

Machine Learning Approach on Efficient Routing Efficient Tec...

引用

2022 IEEE International Conference on Current development in Engineering and technology, CCET 2022

作者： Nawkhare, Rahul Singh, Daljeet School of Electronics and Electrical Engineering Lovely Professional University Karnataka Phagwara India University of Oulu Finland Center for Space Research Lovely Professional University Research Unit of Health Sciences and Technology Faculty of Medicine Division of Research and Development Karnataka Phagwara India

ISBN: (纸本)9781665454155

Network lifetime optimization is a tough and important problem in Wireless Sensor Networks (WSNs). The mainstream current works outline a variety of methods for increasing network lifetime, such as reducing energy consumption, lowering latency, load balancing, clustering, effective data aggregation, and lowering data transmission delays. The use of Machine Learning (ML) in WSNs has recently received much interest. Because WSN s have limited resources, figuring out methods for increasing usage of resources and accomplish power-effective load balancing is a crucial problem. Traditional routing procedures seek to do this by lowering energy ingestion and extending system lifetime with WSN-optimized routing strategies. However, there are frequently issues like limited flexibility, a reliance on precise mathematical models, and a single consideration element. The key benefits of fast environmental adaptation and ability to combine various parameters can be utilized in WSN s to improve efficiency of routing protocols in terms of power consumption. This study reviews current methods and ML-based routing rules for WSN s. Additionally, suggest future prospects for ML methods to improve WSN routing. © 2022 IEEE.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Decoupled knowledge distillation method based on meta-learning

引用

High-Confidence Computing 2024年第1期4卷 1-6页

作者： Wenqing Du Liting Geng Jianxiong Liu Zhigang Zhao Chunxiao Wang Jidong Huo Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science Center(National Supercomputer Center in Jinan)Qilu University of Technology(Shandong Academy of Sciences)Jinan 250014China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer ScienceJinan 250014China Aerospace Science&Industry Network Information Development Co. LTDBeijing 100854China

With the advancement of deep learning techniques,the number of model parameters has been increasing,leading to significant memory consumption and limits in the deployment of such models in real-time *** reduce the number of model parameters and enhance the generalization capability of neural networks,we propose a method called Decoupled MetaDistil,which involves decoupled *** method utilizes meta-learning to guide the teacher model and dynamically adjusts the knowledge transfer strategy based on feedback from the student model,thereby improving the generalization ***,we introduce a decoupled loss method to explicitly transfer positive sample knowledge and explore the potential of negative samples *** experiments demonstrate the effectiveness of our method.

关键词： Model compression Knowledge distillation Meta-learning Decoupled loss

来源：评论

学校读者我要写书评

暂无评论

Calcium aluminate cement blended to bioactive glass and strontium: in vitro and in vivo evaluation studies

引用

research on Biomedical Engineering 2024年第3-4期40卷 769-780页

作者： dos Santos Gonçalves, Isabela Donda, Giovanni Moreira de Oliveira Filho, Hugo Gutemberg Patino Fernandes, Marina Santos Barbosa, Ana Maria Raniero, Leandro José de Vasconcellos, Luana Marotta Reis de Oliveira, Ivone Regina Characterization and Processing Laboratory of Advanced Materials Institute for Research and Development University of Vale do Paraíba Av. Shishima Hifumi 2911 Urbanova São José dos Campos São Paulo12244-000 Brazil Institute of Science and Technology Paulista State University Av. Engenheiro Francisco José Longo 777 São José dos Campos São Paulo12245-000 Brazil

Purpose: Homogeneous calcium aluminate cement–based (CH) materials hold potential as biomaterials, while bioactive glass (BG-58S) is a promising bone regeneration material with excellent bioactivity. Strontium, known for stimulating bone tissue regeneration, was incorporated into CH-BG-58S blends to enhance bioactivity, osteogenesis, and bone tissue repair. Methods: Blends with only BG-58S were evaluated for viscosity, injectability, and workability. In vitro tests were performed using MG63 cells and in vivo tests utilized blends CH-7.5BG-58S and CH-7.5BG-58S/Sr to fill monocortical critical bone defects. Bactericidal capacity against Escherichia coli and Staphylococcus aureus was also evaluated. The addition of BG to CH increased viscosity, decreased injectability, and improved workability. Results: All blends were non-cytotoxic, and CH-7.5BG-58S and CH-10BG-58S blends exhibited bactericidal capacity against E. coli. Osteogenic activity, confirmed by mineralization nodule formation, was observed in all blends. Histomorphometric and histological analyses revealed bone neoformation, with emphasis on SrO-containing groups, but without statistical significance among groups (p > 0.05). Conclusion: This research highlights the potential of CH-BG-58S blends, particularly those with strontium, as bioactive materials for bone tissue engineering. © The Author(s), under exclusive licence to The Brazilian Society of Biomedical Engineering 2024.

关键词： Escherichia coli

来源：评论

学校读者我要写书评

暂无评论

Drivers of the Sustainability Performance of Induction Stove Conversion Program in Indonesia

引用

International Journal of Sustainable Energy Planning and Management 2025年 43卷 5-30页

作者： Damayanti, Retno Wulan Safira, Silvia Dhea Laksono, Pringgo Widyo Setiadi, Haryono Entifar, Nisa Aqilla Ellenahaya Industrial Engineering Study Program Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Center of Technology Development and Industrial Collaboration Institute for Research and Community Service Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Informatics and Science Data Study Program Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Smart Green Technology Engineering Department Pukyong National University 45 Yongso-ro Nam-Gu Busan Korea Republic of

In 2022, Indonesia initiated a pilot project to transition from liquid petroleum gas (LPG) stoves to induction stoves, targeting 8.2 million households by 2025. While LPG is considered a clean cooking fuel by the World Health Organization due to its low PM2.5 emissions, this program aims to further reduce CO2 emissions from cooking activities, aligning with Indonesia’s clean energy transition and 2060 Net Zero Emission goals. Throughout the program, doubts and criticisms arose among various sectors of society, particularly concerning the sustainability of this program. This research aims to determine and analyze the driving factors that support the sustainability of the induction stove transition program. Five sustainability aspects, namely, economic, social, environmental, technical, and institutional, were analyzed. A total of 315 Indonesian citizens participated as respondents in this research survey. The Partial Least Squares-Structural Equation Model (PLS–SEM) method was utilized as the analytical approach for the study. The results revealed that nine factors significantly influenced program sustainability, with the strongest impacts from technology costs (path coefficient = 0.859), contextual factors (0.803), electrical infrastructure (0.792), and community perception (0.773). Economic sustainability was driven by technology costs and business opportunities (0.643), while environmental sustainability was strongly influenced by electrical infrastructure. Post-installation support (0.307) and financial management (0.391) significantly impacted technical and institutional sustainability respectively. These empirical findings improve previous research on the sustainability of an energy transition program, which provides insights for researchers and stakeholders in the energy management field, especially in developing countries, for policy determination and decision-making. © 2025, Aalborg University Press. All rights reserved.

关键词： Clean energy

来源：评论

学校读者我要写书评

暂无评论

Vegetable Oil-Based Nanolubricants in Machining:From Physicochemical Properties to Application

引用

Chinese Journal of Mechanical Engineering 2023年第4期36卷 4-42页

作者： Xiaotian Zhang Changhe Li Zongming Zhou Bo Liu Yanbin Zhang Min Yang Teng Gao Mingzheng Liu Naiqing Zhang Zafar Said Shubham Sharma Hafiz Muhammad Ali School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao 266520China Hanergy(Qingdao)Lubrication Technology Co. Ltd.Qingdao 266200China Sichuan Future Aerospace Industry LLC. Shifang 618400China Shanghai Jinzhao Energy Saving Technology Co. Ltd.Shanghai 200436China Department of Sustainable and Renewable Energy Engineering University of Sharjah27272 SharjahUnited Arab Emirates Department of Mechanical Engineering and Advanced Materials Science Regional Center for Extension and DevelopmentCouncil of Scientific and Industrial Research(CSIR)-Central Leather Research Institute(CLRI)Jalandhar 144021India Mechanical Engineering Department King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

Cutting fluid is crucial in ensuring surface quality and machining accuracy during ***,traditional mineral oil-based cutting fluids no longer meet modern machining’s health and environmental protection *** a renewable,pollution-free alternative with excellent processing characteristics,vegetable oil has become an inevitable ***,vegetable oil lacks oxidation stability,extreme pressure,and antiwear proper-ties,which are essential for machining *** physicochemical characteristics of vegetable oils and the improved methods’application mechanism are not fully *** study aims to investigate the effects of viscosity,surface tension,and molecular structure of vegetable oil on cooling and lubricating *** mechanisms of autoxidation and high-temperature oxidation based on the molecular structure of vegetable oil are also *** study further investigates the application mechanism and performance of chemical modification and antioxidant *** study shows that the propionic ester of methyl hydroxy-oleate obtained by epoxidation has an initial oxidation temperature of 175℃.The application mechanism and extreme pressure performance of conventional extreme pressure additives and nanoparticle additives were also investigated to solve the problem of insufficient oxidation resistance and extreme pressure performance of nanobiological ***,the study discusses the future prospects of vegetable oil for chemical modification and nanoparticle *** study provides theoretical guidance and technical support for the industrial application and scientific research of vegetable oil in the field of lubrication and *** is expected to promote sustainable development in the manufacturing industry.

关键词： Cutting fluid Vegetable oil Chemical modification Antioxidant Extreme pressure additive Minimum quality lubrication

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：