检索结果-内蒙古大学图书馆

Advances of photothermal chemistry in photocatalysis,thermocatalysis,and synergetic photothermocatalysis for solar-to-fuel generation

引用

Nano Research 2022年第12期15卷 9985-10005页

作者： Minmin Gao Tianxi Zhang Ghim Wei Ho Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore117583Singapore Department of Chemical and Biomolecular Engineering National University of Singapore4 Engineering Drive 4Singapore117585Singapore Institute of Materials Research and Engineering Agency for ScienceTechnology and Research(A*STAR)3 Research LinkSingapore117602Singapore

The urgency of reducing pollutants and greenhouse gas emissions while maintaining fuel supply for the development of society remains one of the greatest *** energy,a clean and sustainable energy resource,can be converted into fuels through solar-driven catalysis,and this provides an attractive solution for future energy *** current development of photothermal catalysis(PTC)based on the integration of solar thermal and photochemical contributions is becoming increasingly popular for full spectrum *** combination of the thermochemical and photochemical processes synergistically drives the catalytic reactions efficiently under relatively mild *** this review,the mechanisms of PTC are classified based on driving forces and the benefits of photothermal effects in different PTC reactions are ***,the techniques for differentiating and quantifying the various effects of PTC,including experimental designs,thermometry characterization techniques,and computational studies,are ***,the major determinant properties and architectural designs for efficient photothermal catalysts are ***,applications for fuel generation through water splitting and carbon dioxide reduction are ***,the current challenges and future directions of PTC are *** article aims to provide a comprehensive review of the current advances in PTC along with a guide for understanding the mechanisms and rational material designs to pursue solar fuel that would diversify and increase the sustainability of our energy supply.

关键词： photothermal chemistry photocatalysis thermocatalysis water splitting CO_(2)conversion solar fuel

来源：评论

学校读者我要写书评

暂无评论

Novel soft robotic finger model driven by electrohydrodynamic(EHD)pump

引用

Journal of Zhejiang University-science A(Applied Physics & engineering) 2024年第7期25卷 596-604页

作者： Xuehang BAI Yanhong PENG Dongze LI Zhuochao LIU Zebing MAO Department of Mechanical Automotive and Materials EngineeringFaculty of EngineeringUniversity of WindsorWindsorN9B 3P4Canada Department of Information and Communication Engineering Graduate School of EngineeringNagoya UniversityNagoya464-8601Japan Department of Intelligent Science and Technology College of Computer Science and TechnologyQingdao UniversityQingdao266071China Design and Research Institute of University of Science and Technology Beijing Co.Ltd. Beijing100083China Faculty of Engineering Yamaguchi UniversityYamaguchi755-8611Japan

1Introduction In the field of robotic-human interactions,soft robotics offers enhanced safety and adaptability.A major challenge in this area is the integration of soft actuators with pump systems,which often increases the system volume and *** study presents the development and testing of a robotic finger powered by electrohydrodynamic(EHD)*** leveraging the electric field-induced flow of dielectric fluids.

关键词： robotic complexity. pump

来源：评论

学校读者我要写书评

暂无评论

Brain Tumor Classification And Prediction Using Deep Learning

Brain Tumor Classification And Prediction Using Deep Learnin...

引用

2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023

作者： Geetha Keerthika, V. Kashyap, Manish Chandra Suchith, Podalakuntu Kottigai Alliance University Department of Computer Science and Engineering Bangalore India Alliance University Department of Computer Science and Engineering 34 Bangalore India Alliance University BTechCSE Bangalore India

ISBN: (纸本)9798350317060

Abstract. Brain tumor categorization and prediction benefit from the use of Support Vector Machines (SVM) and Convolutional Neural Networks (CNN). SVM algorithms effectively partition labeled brain pictures into tumor kinds by identifying patterns and attributes. CNN algorithms independently learn representations from brain images to predict tumor presence. Performance is measured using criteria including accuracy, sensitivity, specificity, and *** have also proved beneficial for brain tumor prediction. These deep learning methods develop complicated representations from vast datasets of brain scans, predicting tumor presence or absence. Evaluation criteria including as accuracy, precision, recall, and F1-score quantify the efficacy of CNN models in predicting brain tumor status. Further study is required for greater performance and bigger *** SVM for classification with CNN for prediction gives a hybrid technique for brain tumor analysis. SVM algorithms categorize brain scans into tumor kinds, while CNN models identify tumor presence within these groupings. This combination technique delivers precise information on brain tumor categorization and prediction, boosting the accuracy of diagnosis and treatment planning. Continued research will further develop these algorithms for better brain cancer assessment. © 2023 IEEE.

关键词： Magnetic resonance

来源：评论

学校读者我要写书评

暂无评论

Building a neural speech recognizer for quranic recitations

引用

International Journal of Speech Technology 2023年第4期26卷 1131-1151页

作者： Al-Issa, Suhad Al-Ayyoub, Mahmoud Al-Khaleel, Osama Elmitwally, Nouh Department of Computer Engineering Jordan University of Science and Technology Irbid22110 Jordan Department of Computer Science Jordan University of Science and Technology Irbid22110 Jordan School of Computing and Digital Technology Birmingham City University BirminghamB4 7XG United Kingdom Department of Computer Science Faculty of Computers and Artificial Intelligence Cairo University Giza12613 Egypt

This work is an effort towards building Neural Speech Recognizers system for Quranic recitations that can be effectively used by anyone regardless of their gender and age. Despite having a lot of recitations available online, most of them are recorded by professional male adult reciters, which means that an ASR system trained on such datasets would not work for female/child reciters. We address this gap by adopting a benchmark dataset of audio records of Quranic recitations that consists of recitations by both genders from different ages. Using this dataset, we build several speaker-independent NSR systems based on the DeepSpeech model and use word error rate (WER) for evaluating them. The goal is to show how an NSR system trained and tuned on a dataset of a certain gender would perform on a test set from the other gender. Unfortunately, the number of female recitations in our dataset is rather small while the number of male recitations is much larger. In the first set of experiments, we avoid the imbalance issue between the two genders and down-sample the male part to match the female part. For this small subset of our dataset, the results are interesting with 0.968 WER when the system is trained on male recitations and tested on female recitations. The same system gives 0.406 WER when tested on male recitations. On the other hand, training the system on female recitations and testing it on male recitation gives 0.966 WER while testing it on female recitations gives 0.608 WER. © 2022, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Statistical tests

来源：评论

学校读者我要写书评

暂无评论

A Proactive Intrusion Detection and Mitigation System for Grid-Connected Photovoltaic Inverters

IEEE Transactions on Industrial Cyber-Physical Systems

引用

IEEE Transactions on Industrial Cyber-Physical Systems 2023年 1卷 273-286页

作者： Mohammadi, Fazel Bok, Rasoul Saif, Mehrdad Electrical and Computer Engineering and Computer Science Department University of New Haven West HavenCT06516 United States Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan84156-83111 Iran Department of Electrical and Computer Engineering University of Windsor WindsorONN9B 3P4 Canada

The breach of data confidentiality, integrity, and availability due to cyberattacks can adversely impact the operation of grid-connected Photovoltaic (PV) inverters. Detecting such attacks based on their signatures or behavior-based analytics and adopting corrective actions to prevent security breaches for grid-connected PV systems requires the implementation of an intelligent Intrusion Detection System (IDS). In this paper, a Proactive Intrusion Detection and Mitigation System (PIDMS) based on real-time stability boundary identification at the Point of Common Coupling (PCC) for grid-connected PV systems is presented to identify the potentially compromised grid-connected PV systems in Cyber-Physical Power and Energy Systems (CPPES). The proposed PIDMS correlates the variations in the active power and reactive power measurements to power grids voltage at the PCC in real-time and accurately identifies compromised grid-connected PV systems, and enhances the resilience of CPPES. The performance of the proposed PIDMS is validated through dynamic simulations under different operating conditions. The obtained results verify the applicability and effectiveness of the proposed PIDMS. © 2023 The Authors.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

A Knowledge Flow Empowered Cognitive Framework for Decision Making With Task-Agnostic Data Regulation

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第5期5卷 2304-2318页

作者： Huang, Liming Wu, Yulei Tempini, Niccolo Department of Computer Science Faculty of Environment University of Exeter Science and Economy ExeterEX4 4RN United Kingdom the Faculty of Science and Engineering and Bristol Digital Futures Institute University of Bristol BristolBS8 1UB United Kingdom Department of Social and Political Sciences Philosophy and Anthropology Faculty of Humanities Arts and Social Sciences University of Exeter ExeterEX4 4RN United Kingdom

The extreme complexity of many real-world tasks poses considerable challenges to agents' decision making. Most existing models only rely on task-related data for knowledge learning, while ignoring the important influence of potential task-agnostic factors. Effective learning coupled with both task-related and task-agnostic data can strongly enrich the agent's knowledge and improve its decision making performance. Furthermore, many existing learning models simply leverage data to learn knowledge but fail to express the thought process of decision making as humans do, which significantly limits their explanatory capability. To this end, we propose a novel knowledge flow empowered cognitive framework for real-world tasks. To obtain more reliable and trustworthy knowledge, a bottom-up knowledge learning model is developed, which incorporates both task-related data and task-agnostic data for comprehensive knowledge accumulation and value assessment of influencing factors. To demonstrate the thought process of decision making, a top-down knowledge expression model is proposed to coordinate different influencing factors by a knowledge flow structure. Two real-world case studies, including traffic anomaly detection and vehicle following anomaly detection, are introduced, where task-agnostic data are presented for the first time in both tasks. Experimental evaluation demonstrates the strong necessity of incorporating task-agnostic data in knowledge accumulation for real-world tasks and the effectiveness of our cognitive framework. © 2020 IEEE.

关键词： Knowledge representation

来源：评论

学校读者我要写书评

暂无评论

Multilevel Cloud resource Scheduling approach based on image-based signature system 5

Multilevel Cloud resource Scheduling approach based on image...

引用

5th International Conference on Information Management and Machine Intelligence, ICIMMI 2023

作者： Chakraborty, Koushik Singhal, Sweety Arya, Nancy Tiwari, Mohit Khatoon, Aasiya Tiwari, Ashish Adamas University Kolkata India Department of Computer Science Sangam University Bhilwara India Department of Computer Science and Engineering Shree Guru Gobind Singh Tricentenary University Gurugram India Department of Computer Science and Engineering Bharati Vidyapeeth's College of Engineering A-4 Rohtak Road Paschim Vihar Delhi India Department of Computer Science and Engineering Roorkee Institute of Technology Roorkee India Department of Computer Science and Engineering Amity University Lucknow India

ISBN: (纸本)9798400709418

Cloud computing is arising with developing fame in work process booking, particularly for logical work process. During resource allotment, the cloud computing climate might experience impressive issues as far as execution time and execution cost, which might prompt disturbances in assistance quality given to clients. Text Passwords are at this point a completely used affirmation part, but graphical passwords and biometrics are also used. Nevertheless, to make any system astoundingly secure we really want to improve comfort as well as security. Cloud resource scheduling is a critical aspect of cloud computing that involves efficiently allocating and managing cloud resources to meet the demands of applications and services. Various scheduling approaches aim to optimize resource utilization, minimize costs, and improve overall system performance. Automatically scaling resources up or down based on workload demand. Improves cost-efficiency by dynamically adjusting resources to match varying workloads, ensuring optimal performance during peak times and cost savings during low demand. Our proposed FSOS (Fastest scheduling Optimized system) algorithm is most probably used for the framework so that the performance may increase. It uses components of both Graphical and Text Password plans. In this proposed FSOS (Fastest scheduling Optimized system) mannequin we have in contrast with the most famous algorithms like multi-objective scheduling (MOS), fee conscious scheduling (SCAS) are the various scheduling algorithms to make cloud services secure and highly available to the end users. In this exploration, we endeavor to show the most well-known three static errand booking calculations execution of various algorithm system. All the algorithms are calculating the total execution cost and timing of different algorithms. © 2023 ACM.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

Recent Advances in In-Memory Computing:Exploring Memristor and Memtransistor Arrays with 2D Materials

引用

Nano-Micro Letters 2024年第7期16卷 1-30页

作者： Hangbo Zhou Sifan Li Kah-Wee Ang Yong-Wei Zhang Institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A*STAR)1 Fusionopolis Way#16-16 ConnexisSingapore 138632Republic of Singapore Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117583Republic of Singapore Institute of Materials Research and Engineering Agency for ScienceTechnology and Research(A*STAR)2 Fusionopolis WaySingapore 138634Republic of Singapore

The conventional computing architecture faces substantial chal-lenges,including high latency and energy consumption between memory and processing *** response,in-memory computing has emerged as a promising alternative architecture,enabling computing operations within memory arrays to overcome these *** devices have gained significant attention as key components for in-memory computing due to their high-density arrays,rapid response times,and ability to emulate biological *** these devices,two-dimensional(2D)material-based memristor and memtransistor arrays have emerged as particularly promising candidates for next-generation in-memory computing,thanks to their exceptional performance driven by the unique properties of 2D materials,such as layered structures,mechanical flexibility,and the capability to form *** review delves into the state-of-the-art research on 2D material-based memristive arrays,encompassing critical aspects such as material selection,device perfor-mance metrics,array structures,and potential ***,it provides a comprehensive overview of the current challenges and limitations associated with these arrays,along with potential *** primary objective of this review is to serve as a significant milestone in realizing next-generation in-memory computing utilizing 2D materials and bridge the gap from single-device characterization to array-level and system-level implementations of neuromorphic computing,leveraging the potential of 2D material-based memristive devices.

关键词： 2D materials Memristors Memtransistors Crossbar array In-memory computing

来源：评论

学校读者我要写书评

暂无评论

Empowering Human-Machine Communication in Code Generation with NLP 5

Empowering Human-Machine Communication in Code Generation wi...

引用

5th IEEE International Conference on Recent Trends in computer science and Technology, ICRTCST 2024

作者： Aswal, Upendra Singh Rao, Pappala Mohan Supreeth, B.R. Manikandan, G. Srinivasan, R. Tiwari, Mohit Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Andhra University College Of Engineering AU College Of Engineering Computer Science and System Engineering AP Visakhapatnam530003 India Oxford Degree and PG College Sir. M. Visveshwaraiah Layout Department of Computer Science Ullal Bangalore India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Thandalam India St. Martins Engineering College Department of Computer Science and Engineering Telangana Secunderabad India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering A-4 Rohtak Road Paschim Vihar Delhi India

ISBN: (纸本)9798350351378

The symbiotic interaction between people and computers in the realm of software development is experiencing a fundamental transition, spurred by improvements in Natural Language Processing (NLP). This study investigates how natural language processing (NLP) is changing the software development process by facilitating better human-machine collaboration throughout the coding phase. Data collection, NLP model creation, and assessment are all part of the rigorous process used in our work, which yields important results. The possibility for improving code quality and efficiency while also democratizing code production is discussed in the context of a fictional situation. Ethical concerns are also highlighted, along with the need to minimize bias in NLP-driven code production. To the benefit of developers, organizations, and society at large, this study not only adds empirical insights but also imagines a future in which software development is more inclusive, efficient, and morally responsible. From improved natural language processing models to real-time feedback loops and multimodal techniques, the future of this transforming discipline promises to further influence the landscape of software development. © 2024 IEEE.

关键词： Software design

来源：评论

学校读者我要写书评

暂无评论

Hierarchical Clustering Based on Dendrogram in Sustainable Transportation Systems

引用

IEEE Transactions on Intelligent Transportation Systems 2023年第12期24卷 15724-15739页

作者： Sangaiah, Arun Kumar Javadpour, Amir Ja'fari, Forough Zhang, Weizhe Khaniabadi, Shadi Mahmoodi International Graduate Institute of Artificial Intelligence National Yunlin University of Science and Technology Yunlin64002 Taiwan Lebanese American University Department of Electrical and Computer Engineering Byblos Lebanon Instituto Politécnico de Viana Do Castelo ADiT-Laboratory Electrotechnics and Telecommunications Department Porto4900-347 Portugal Harbin Institute of Technology Department of Computer Science and Technology Shenzhen150001 China Sharif University of Technology Department of Computer Engineering TehranP932 FM4 Iran Usm Engineering Campus Department of Computer Science and Engineering George Pulau Pinang14300 Malaysia

Each group in a data-driven automobile network has its cluster head. A group can communicate with each other and members of other groups once it has been founded. Vehicles belonging to each group near the other group allow intergroup communication. Because nodes in automotive networks move so quickly, routing in these networks is a complex problem to solve. Each cluster in hierarchical clustering can be partitioned into multiple sub-clusters. Put another way, and the data is stored in a cluster, which is then divided into more clusters. The data is stored directly in separate clusters in non-hierarchical approaches. A dendrogram is a type of hierarchical tree. We anticipate increasing information sharing in clusters by properly clustering vehicles on the road and establishing clusters of the desired size in the relevant dendrogram. We can select clusters of the necessary extent and compare the Quality of Service (QoS) network's outcomes by breaking the dendrogram at different levels. The findings reveal that the suggested method outperforms AIVISN in delay, PDR, overhead, and Drooped packets compared to AIVISN, 7.12%, 12.21%,8.32%, and 7.34%, respectively. © 2000-2011 IEEE.

关键词： Vehicular ad hoc networks

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：