检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Choudhary, Kamal DeCost, Brian Chen, Chi Jain, Anubhav Tavazza, Francesca Cohn, Ryan WooPark, Cheol Choudhary, Alok Agrawal, Ankit Billinge, Simon J.L. Holm, Elizabeth Ong, Shyue Ping Wolverton, Chris Materials Science and Engineering Division National Institute of Standards and Technology GaithersburgMD20899 United States Theiss Research San diegoCA92037 United States Material Measurement Science Division National Institute of Standards and Technology GaithersburgMD20899 United States Department of NanoEngineering University of California San Diego CA92093 United States Energy Technologies Area Lawrence Berkeley National Laboratory BerkeleyCA United States Department of Materials Science and Engineering Carnegie Mellon University PittsburghPA15213 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States Department of Applied Physics and Applied Mathematics and the Data Science Institute Fu Foundation School of Engineering and Applied Sciences Columbia University New YorkNY10027 United States

Deep learning (DL) is one of the fastest growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities. DL allows analysis of unstructured data and automated identification of features. Recent development of large materials databases has fueled the application of DL methods in atomistic prediction in particular. In contrast, advances in image and spectral data have largely leveraged synthetic data enabled by high quality forward models as well as by generative unsupervised DL methods. In this article, we present a high-level overview of deep-learning methods followed by a detailed discussion of recent developments of deep learning in atomistic simulation, materials imaging, spectral analysis, and natural language processing. For each modality we discuss applications involving both theoretical and experimental data, typical modeling approaches with their strengths and limitations, and relevant publicly available software and datasets. We conclude the review with a discussion of recent cross-cutting work related to uncertainty quantification in this field and a brief perspective on limitations, challenges, and potential growth areas for DL methods in materials science. The application of DL methods in materials science presents an exciting avenue for future materials discovery and design. © 2021, CC BY.

关键词： Application programs

来源：评论

学校读者我要写书评

暂无评论

Resource Allocation Technique for Hybrid TDMA-NOMA System with Opportunistic Time Assignment

Resource Allocation Technique for Hybrid TDMA-NOMA System wi...

引用

IEEE International Conference on Communications Workshops, ICC

作者： Xinchen Wei Haitham Al-Obiedollah Kanapathippillai Cumanan Miao Zhang Jie Tang Wei Wang Octavia A. Dobre Department of Electronic Engineering University of York York United Kingdom The Hashemite University Jordan School of Electronic and Information Engineering South China University of Technology Guangzhou China School of Information Science and Technology Nantong University Nantong China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Department of Electrical and Computer Engineering Memorial University St. John's Canada

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

In this paper, we develop a resource allocation technique for a hybrid time division multiple access (TDMA) - non-orthogonal multiple access (NOMA) system with opportunistic time assignment. In particular, the available transmission time is divided into several time-slots, through which multiple users are served by exploiting power-domain NOMA. To fully exploit underlying benefits of this hybrid TDMA-NOMA system, we utilize the available resources efficiently by jointly allocating transmit power and time-slots to several groups of users in the system. Furthermore, these resources are allocated to maximize minimum rate of the users in the system. However, this max-min resource allocation problem is non-convex due to coupled design parameters of time and power allocations. Hence, we exploit a novel second-order cone formulation to overcome this non-convexity issue and develop an iterative algorithm to realize a solution to the original max-min problem. Simulation results show that this joint resource allocation technique has a considerable performance enhancement in terms of both minimum achieved rate and overall system throughput compared to that of the conventional resource allocation technique where equal time-slots are assigned to the groups of users.

关键词： Resource management NOMA Silicon carbide Time division multiple access Optimization Linear programming Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

A New AC/DC Half-Bridge/String-Inverter Hybrid-Structured Isolated Bi-directional Converter

A New AC/DC Half-Bridge/String-Inverter Hybrid-Structured Is...

引用

IEEE Energy Conversion Congress and Exposition

作者： Reza Emamalipour John Lam Advanced Power Electronics Laboratory for Sustainable Energy Research Dept. of Electrical Engineering and Computer Science Lassonde School of Engineering York University Toronto Canada

In this paper, a new bidirectional AC/DC converter based on a 5-switch string topology and an isolated CLLC resonant circuit is proposed for energy storage applications. In the battery side of the proposed circuit, one switch and two diodes are added to the conventional 4-switch string converter, reducing the output voltage ripple to half. A CLLC resonant circuit is designed to step up/down the DC voltages and to provide ZVS for all the semiconductor devices. In AC to DC mode, a hysteresis controller is used and a power factor of 0.99 is achieved. In DC to AC mode, a Second Order Generalized Integrator (SOGI) phase locked loop (PLL) is used to transfer power into the AC source. The frequency modulation technique is utilized to regulate the voltage levels in the terminals of the resonant converter. Simulation results are provided on a 1kW, 60Hz 120VAC/700VDC system to highlight the merits of the proposed converter. A 1 kW 700VDC-output experimental prototype is developed to validate the performance and feasibility of the proposed converter.

关键词： RLC circuits AC-DC power converters Phase locked loops Resonant frequency Switches Switching circuits Logic gates

来源：评论

学校读者我要写书评

暂无评论

Explainable AI: Definition and attributes of a good explanation for health AI

arXiv

引用

arXiv 2024年

作者： Kyrimi, Evangelia McLachlan, Scott Wohlgemut, Jared M. Perkins, Zane B. Lagnado, David A. Marsh, William Gimson, Alexander Shafti, Ali Ercole, Ari Banerjee, Amitava Glocker, Ben Schafer, Burkhard Gatsonis, Constantine Grosan, Crina Sent, Danielle Berman, David S. Glass, David O'Regan, Declan P. Letsios, Dimitrios Morrissey, Dylan Pisirir, Erhan Leofante, Francesco Soyel, Hamit Williamson, Jon Grieman, Keri Dube, Kudakwashe Mardsen, Max Nagendran, Myura Tai, Nigel Kostopoulou, Olga Jones, Owain Curzon, Paul Stoner, Rebecca S. Tandle, Sankalp Joshi, Shalmali Mossadegh, Somayyeh Buijsman, Stefan Miller, Tim Madai, Vince Istvan School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom School of Nursing Midwifery and Palliative Care King's College London London United Kingdom Centre for Trauma Sciences Blizard Institute Queen Mary University of London London United Kingdom Royal London Hospital Barts Health NHS Trust London United Kingdom Department of Experiment Psychology University College London London United Kingdom Cambridge Liver Unit Addenbrooke's Hospital Cambridge University Hospitals Hills Road Box 210 Cambridge United Kingdom University of Cambridge United Kingdom Cambridge Consultants Ltd. United Kingdom Division of Anaesthesia Cambridge Centre for AI in Medicine University of Cambridge Cambridge United Kingdom Magdelene College University of Cambridge United Kingdom Institute of Health Informatics University College London London United Kingdom Department of Computing Imperial College London London United Kingdom SCRIPT Centre for IT and IP Law School of Law University of Edinburgh United Kingdom Center for Statistical Sciences School of Public Health Brown University Providence United States Research Group Artificial Intelligence HU University of Applied Sciences Utrecht Netherlands Jheronimus Academy of Data Science Tilburg University Eindhoven University of Technology s-Hertogenbosch Netherlands Centre for Theoretical Physics Queen Mary University of London London United Kingdom School of Computing Ulster University Belfast United Kingdom MRC Laboratory of Medical Sciences Imperial College London London United Kingdom Department of Informatics King's College London United Kingdom Physiotherapy Department Barts Health NHS Trust London United Kingdom Sport and Exercise Medicine Queen Mary University of London London United Kingdom School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Department of Computing Imperial College London United Kingdom Departmen

Proposals of artificial intelligence (AI) solutions based on increasingly complex and accurate predictive models are becoming ubiquitous across many disciplines. As the complexity of these models grows, transparency and users' understanding often diminish. This suggests that accurate prediction alone is insufficient for making an AI-based solution truly useful. In the development of healthcare systems, this introduces new issues related to accountability and safety. Understanding how and why an AI system makes a recommendation may require complex explanations of its inner workings and reasoning processes. Although research on explainable AI (XAI) has significantly increased in recent years and there is high demand for XAI in medicine, defining what constitutes a good explanation remains ad hoc, and providing adequate explanations continues to be challenging. To fully realize the potential of AI, it is critical to address two fundamental questions about explanations for safety-critical AI applications, such as health-AI: (1) What is an explanation in health-AI? and (2) What are the attributes of a good explanation in health-AI? In this study, we examined published literature and gathered expert opinions through a two-round Delphi study. The research outputs include (1) a definition of what constitutes an explanation in health-AI and (2) a comprehensive list of attributes that characterize a good explanation in health-AI. © 2024, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Transient thermo-mechanical analysis for bimorph soft robot based on thermally responsive liquid crystal elastomers

引用

Applied Mathematics and Mechanics(English Edition) 2019年第7期40卷 943-952页

作者： Yun CUI Yafei YIN Chengjun WANG K. SIM Yuhang LI Cunjiang YU Jizhou SONG Institute of Solid Mechanics Beihang University Beijing 100191 China Department of Engineering Mechanics Soft Matter Research Center Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province Zhejiang University Hangzhou 310027 China Materials Science and Engineering Program University of Houston Houston TX 77204 U. S.A. State Key Laboratory of Strength and Vibration of Mechanical Structures School of Aerospace Engineering Xi’an Jiaotong University Xi’an 710049 China Department of Mechanical Engineering University of Houston Houston TX 77204 U. S.A. Department of Electrical and Computer Engineering University of Houston Houston TX 77204 U. S.A. Department of Biomedical Engineering Texas Center for Superconductivity University of Houston Houston TX 77204 U. S.A.

Thermally responsive liquid crystal elastomers (LCEs) hold great promise in applications of soft robots and actuators because of the induced size and shape change with temperature. Experiments have successfully demonstrated that the LCE based bimorphs can be effective soft robots once integrated with soft sensors and thermal actuators. Here, we present an analytical transient thermo-mechanical model for a bimorph structure based soft robot, which consists of a strip of LCE and a thermal inert polymer actuated by an ultra-thin stretchable open-mesh shaped heater to mimic the unique locomotion behaviors of an inchworm. The coupled mechanical and thermal analysis based on the thermo-mechanical theory is carried out to underpin the transient bending behavior, and a systematic understanding is therefore achieved. The key analytical results reveal that the thickness and the modulus ratio of the LCE and the inert polymer layer dominate the transient bending deformation. The analytical results will not only render fundamental understanding of the actuation of bimorph structures, but also facilitate the rational design of soft robotics.

关键词： transient thermo-mechanical analysis soft robot thermal-responsive liq- uid crystal elastomer (LCE)

来源：评论

学校读者我要写书评

暂无评论

Photo-assisted technologies for environmental remediation

Nature Reviews Clean Technology

引用

Nature Reviews Clean Technology 2025年第3期1卷 1-15页

作者： Bo Weng Jiangquan Lv Ning Han Bao-Lian Su Maarten Roeffaers Johan Hofkens Yongfa Zhu Shaobin Wang Wonyong Choi State Key Laboratory of Advanced Environmental Technology Institute of Urban Environment Chinese Academy of Sciences Xiamen China University of Chinese Academy of Sciences Beijing China College of Electronics and Information Science Fujian Jiangxia University Fuzhou China Department of Electrical and Computer Engineering University of Toronto Toronto Canada Laboratory of Living Materials at the State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan China cMACS Department of Microbial and Molecular Systems KU Leuven Leuven Belgium Department of Chemistry KU Leuven Leuven Belgium Department of Chemistry Tsinghua University Beijing China School of Chemical Engineering University of Adelaide Adelaide South Australia Australia Department of Energy Engineering Korea Institute of Energy Technology (KENTECH) Naju South Korea

Industrial processes can lead to air and water pollution, particularly from organic contaminants such as toluene and antibiotics, posing threats to human health. Photo-assisted chemical oxidation technologies leverage light energy to mineralize these contaminants. In this Review, we discuss the mechanisms and efficiencies of photo-assisted advanced oxidation processes for wastewater treatment and photothermal technologies for air purification. The integration of solar energy enhances degradation efficiency and reduces energy consumption, enabling more efficient remediation methods. We evaluate the technological aspects of photo-assisted technologies, such as photo-Fenton, photo-persulfate activation, photo-ozonation and photoelectrochemical oxidation, emphasizing their potential for practical applications. Finally, we discuss the challenges in scaling up photo-assisted technologies for specific environmental remediation needs. Photo-assisted technologies have demonstrated effectiveness in environmental remediation, although large-scale applications remain constrained by high costs. Future potential applications of photo-assisted technologies will require that technology selection be tailored to specific pollution scenarios and engineering processes optimized to minimize costs.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Leader-follower stochastic differential games under partial observation

Leader-follower stochastic differential games under partial ...

引用

第三十八届中国控制会议

作者： Zhipeng Li Minyue Fu Qianqian Cai Wei Meng School of Automation Guangdong University of Technology Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control School of Electrical Engineering and Computer Science University of Newcastle

This paper searches for the leader-follower stochastic differential Stackelberg game under a partial observed information. The controlled system equation and the observation equation are looked as the equality constraints, and then variation method is used to derive the necessary condition of this differential game problem for follower and leader respectively. Finally,an example is given to illustrate its application.

关键词： Stochastic differential game partial observation

来源：评论

学校读者我要写书评

暂无评论

Semantic-aided Parallel Image Transmission Compatible with Practical System

arXiv

引用

arXiv 2025年

作者： Xu, Mingkai Wu, Yongpeng Shi, Yuxuan Xia, Xiang-Gen Debbah, Mérouane Zhang, Wenjun Zhang, Ping Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Cyber and Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Electrical and Computer Engineering University of Delaware NewarkDE19716 United States KU 6G Research Center Khalifa University of Science and Technology P O Box 127788 Abu Dhabi United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

In this paper, we propose a novel semantic-aided image communication framework for supporting the compatibility with practical separation-based coding architectures. Particularly, the deep learning (DL)-based joint source-channel coding (JSCC) is integrated into the classical separate source-channel coding (SSCC) to transmit the images via the combination of semantic stream and image stream from DL networks and SSCC respectively, which we name as parallel-stream transmission. The positive coding gain stems from the sophisticated design of the JSCC encoder, which leverages the residual information neglected by the SSCC to enhance the learnable image features. Furthermore, a conditional rate adaptation mechanism is introduced to adjust the transmission rate of semantic stream according to residual, rendering the framework more flexible and efficient to bandwidth allocation. We also design a dynamic stream aggregation strategy at the receiver, which provides the composite framework with more robustness to signal-to-noise ratio (SNR) fluctuations in wireless systems compared to a single conventional codec. Finally, the proposed framework is verified to surpass the performance of both traditional and DL-based competitors in a large range of scenarios and meanwhile, maintains lightweight in terms of the transmission and computational complexity of semantic stream, which exhibits the potential to be applied in real systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Channel coding

来源：评论

学校读者我要写书评

暂无评论

Low-PMEPR preamble sequence design for dynamic spectrum allocation in OFDMA systems

arXiv

引用

arXiv 2020年

作者： Zhou, Yajing Zhou, Zhengchun Liu, Zilong Fan, Pingzhi Guan, Yong Liang School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China School of Mathematics Southwest Jiaotong University Chengdu611756 China State Key Laboratory of Integrated Services Networks Xidian University Xian710071 China School of Computer Science and Electronic Engineering University of Essex United Kingdom Institute of Mobile Communications Southwest Jiaotong University Chengdu611756 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore

Orthogonal Frequency Division Multiple Access (OFDMA) with Dynamic spectrum allocation (DSA) is able to provide a wide range of data rate requirements. This paper is focused on the design of preamble sequences in OFDMA systems with low peak-to-mean envelope power ratio (PMEPR) property in the context of DSA. We propose a systematic preamble sequence design which gives rise to low PMEPR for possibly non-contiguous spectrum allocations. With the aid of Golay-Davis-Jedwab (GDJ) sequences, two classes of preamble sequences are presented. We prove that their PMEPRs are upper bounded by 4 for any DSA over a chunk of four contiguous resource blocks. Copyright © 2020, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing

来源：评论

学校读者我要写书评

暂无评论

Learning data-adaptive non-parametric kernels

The Journal of Machine Learning Research

引用

The Journal of Machine Learning Research 2020年第1期21卷 8590-8628页

作者： Fanghui Liu Xiaolin Huang Chen Gong Jie Yang Li Li Department of Electrical Engineering ESAT-STADIUS KU Leuven Belgium Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China PCA Lab Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology China and Department of Computing Hong Kong Polytechnic University Hong Kong SAR China Department of Automation BNRist Tsinghua University China

In this paper, we propose a data-adaptive non-parametric kernel learning framework in margin based kernel methods. In model formulation, given an initial kernel matrix, a data-adaptive matrix with two constraints is imposed in an entry-wise scheme. Learning this data-adaptive matrix in a formulation-free strategy enlarges the margin between classes and thus improves the model flexibility. The introduced two constraints are imposed either exactly (on small data sets) or approximately (on large data sets) in our model, which provides a controllable trade-off between model flexibility and complexity with theoretical demonstration. In algorithm optimization, the objective function of our learning framework is proven to be gradient-Lipschitz continuous. Thereby, kernel and classifier/regressor learning can be efficiently optimized in a unified framework via Nesterov's acceleration. For the scalability issue, we study a decomposition-based approach to our model in the large sample case. The effectiveness of this approximation is illustrated by both empirical studies and theoretical guarantees. Experimental results on various classification and regression benchmark data sets demonstrate that our non-parametric kernel learning framework achieves good performance when compared with other representative kernel learning based algorithms.

关键词： support vector machines non-parametric kernel learning gradient-Lipschitz continuous

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：