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arXiv 2020年

作者： Du, Hongyang Zhang, Jiayi Guan, Ke Niyato, Dusit Jiao, Huiying Wang, Zhiqin Kürner, Thomas The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The School of Computer Science and Engineering Nanyang Technological University Singapore China Academy of Information and Communications Technology Beijing100191 China Technische Universität Braunschweig Brunswick38106 Germany

TeraHertz (THz) communications can satisfy the high data rate demand with massive bandwidth. However, severe path attenuation and hardware imperfection greatly alleviate its performance. Therefore, we utilize the reconfigurable intelligent surface (RIS) technology and investigate the RIS-aided THz communications. We first prove that the small-scale amplitude fading of THz signals can be accurately modeled by the fluctuating two-ray distribution based on two THz signal measurement experiments conducted in a variety of different scenarios. To optimize the phase-shifts at the RIS elements, we propose a novel swarm intelligence-based method that does not require full channel estimation. We then derive exact statistical characterizations of end-to-end signal-to-noise plus distortion ratio (SNDR) and signal-to-noise ratio (SNR). Moreover, we present asymptotic analysis to obtain more insights when the SNDR or the number of RIS's elements is high. Finally, we derive analytical expressions for the outage probability and ergodic capacity. The tight upper bounds of ergodic capacity for both ideal and non-ideal radio frequency chains are obtained. It is interesting to find that increasing the number of RIS's elements can significantly improve the THz communications system performance. For example, the ergodic capacity can increase up to 25% when the number of elements increases from 40 to 80, which incurs only insignificant costs to the system. © 2020, CC BY.

关键词： Signal to noise ratio

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GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning

arXiv

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arXiv 2021年

作者： Kwak, Bumju Park, Jiwon Kang, Taewon Jo, Jeonghee Lee, Byunghan Yoon, Sungroh Recommendation Team Kakao Corporation Gyeonggi13529 Korea Republic of LG Chem Seoul07795 Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul08826 Korea Republic of Daejeon34141 Korea Republic of Institute of New Media and Communications Seoul National University Seoul08826 Korea Republic of Department of Electronic Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of Artificial Intelligence Institute Seoul National University Seoul08826 Korea Republic of

In recent years, molecular representation learning has emerged as a key area of focus in various chemical tasks. However, many existing models fail to fully consider the geometric information of molecular structures, resulting in less intuitive representations. Moreover, the widely used message-passing mechanism is limited to provide the interpretation of experimental results from a chemical perspective. To address these challenges, we introduce a novel Transformer-based framework for molecular representation learning, named the Geometry-aware Transformer (GeoT). GeoT learns molecular graph structures through attention-based mechanisms specifically designed to offer reliable interpretability, as well as molecular property prediction. Consequently, GeoT can generate attention maps of interatomic relationships associated with training objectives. In addition, GeoT demonstrates comparable performance to MPNN-based models while achieving reduced computational complexity. Our comprehensive experiments, including an empirical simulation, reveal that GeoT effectively learns the chemical insights into molecular structures, bridging the gap between artificial intelligence and molecular sciences. © 2021, CC BY.

关键词： Geometry

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Terahertz Inverse Spin Hall Effect in Spintronic Nanostructures

SSRN

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SSRN 2023年

作者： Cheng, Jing Komissarov, Ivan Chen, Genyu Adam, Roman Chaktraborty, Debamitra Bürgler, Daniel E. Heidtfeld, Sarah Cao, Derang Büscher, Markus Hardtdegen, Hilde Mikulics, Martin Schneider, Claus Michael Gladczuk, Leszek Przyslupski, Piotr Sobolewski, Roman Materials Science Program University of Rochester RochesterNY14627-1299 United States Laboratory for Laser Energetics University of Rochester RochesterNY14623 United States Department of Electrical and Computer Engineering University of Rochester RochesterNY14627-0231 United States Research Centre Jülich Peter Grünberg Institute Jülich52425 Germany Faculty of Physics University Duisburg-Essen Duisburg47048 Germany College of Physics Center for Marine Observation and Communications National Demonstration Center for Experimental Applied Physics Education Qingdao University Qingdao266071 China Research Centre Jülich Ernst Ruska Centre for Microscopy and Spectroscopy With Electrons Jülich52425 Germany Department of Physics University of California Davis DavisCA95616-5270 United States Institute of Physics Polish Academy of Sciences WarszawaPL-02668 Poland Department of Physics and Astronomy University of Rochester RochesterNY14627-0171 United States

Bilayers of ferromagnetic and heavy metal nanolayers excited with femtosecond laser pulses emit subpicosecond bursts of electromagnetic radiation with spectral frequencies up to several THz. We fabricated such spintronic THz emitters containing various ferromagnetic materials with vastly different magnetic remanence, saturation magnetization, and coercive field. In all cases, the THz amplitude versus magnetic field dependence follows the independently measured magnetization hysteresis loops and the THz polarization direction is perpendicular to the sample’s magnetization M, both consistent with the inverse spin Hall effect as physical origin. The M(T) variation governs the temperature dependence of the THz generation. Emitters with weakly remanent ferromagnets are field-tunable, while moderately and strongly remanent ferromagnets, once magnetized, allow intense THz generation even without an external field, nevertheless exhibiting low susceptibility to magnetic perturbations, if the hysteresis loop is square. Hence, exploiting the magnetic properties of the ferromagnetic layer enables tailoring of weakly temperature-dependent spintronic THz emitters. Finally, we explored the applicability of perovskite oxide materials such as La-Sr-Mn-O (LSMO) for THz transient generation. Although we detected THz emissions from, e.g., LSMO/Au nanobilayers, the signal was attributed to the ultrafast transient demagnetization and not the inverse spin Hall effect. © 2023, The Authors. All rights reserved.

关键词： Nanostructures

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THz Generation Control in Fe/X Spintronic Multilayers by chemical bonding at epitaxial Fe/GaAs(001) interfaces

THz Generation Control in Fe/X Spintronic Multilayers by che...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Roman Adam Genyu Chen Daniel E. Bürgler Derang Cao Sarah Heidtfeld Debamitra Chakraborty Jing Cheng Ivan Komissarov Hilde Hardtdegen Martin Mikulics Claus M. Schneider Roman Sobolewski Research Centre Jülich Peter Grünberg Institute (PGI-6) Jülich Germany Materials Science Graduate Program University of Rochester Rochester New York USA Laboratory for Laser Energetics University of Rochester Rochester New York USA College of Physics Center for Marine Observation and Communications Qingdao University Qingdao China Department of Electrical and Computer Engineering University of Rochester Rochester New York USA Research Centre Jülich Ernst Ruska Centre for Microscopy and Spectroscopy with Electrons Jülich Germany Department of Physics University of California Davis Davis California USA

We report an additional degree of control of THz transients in Fe/X spintronic emitters grown on GaAs(001). We ascribe the field-independent enhancement of the THz amplitude to specific chemical bonding at the epitaxi... 详细信息

ISBN: (纸本)9781943580910

关键词： Electromagnetic radiation Free electron lasers Gallium arsenide Magnetic fields Terahertz generation Ultrafast lasers

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Machine Learning-Based Statistical Hypothesis Testing for Fault Detection

Machine Learning-Based Statistical Hypothesis Testing for Fa...

引用

Conference on Control and Fault-Tolerant Systems (SysTol)

作者： Radhia Fazai Majdi Mansouri Kamal Abodayeh Mohamed Trabelsi Hazem Nounou Mohamed Nounou Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Department of Mathematical Sciences Prince Sultan University Riyadh Saudi Arabia Department of Electronic and Communications Engineering Kuwait College of Science and Technology Kuwait Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

ISBN: (纸本)9781728103815

This paper elaborates the development of machine learning approach merged with statistical hypothesis testing aimed at enhancing the operation of photovoltaic (PV) systems by developing intelligent PV fault detection framework. Fault detection in PV systems is important to ensure optimal energy harvesting and reliable power production because PV systems usually operate in a harsh outdoor environment and tend to suffer various faults. In this paper, therefore, special attention is paid to detection of various faults during different modes of operation. The proposed approach merges the benefits of machine learning technique (MLT) with statistical hypothesis testing to enhance the fault detection and monitoring of PV systems. The proposed technique will be effective in monitoring the PV faults under both normal and abnormal conditions. For the framework developed, the modeling phase is addressed using MLT and the faults are detected using the generalized likelihood ratio test (GLRT) chart. The MLT is used to compute the residuals monitored and the GLRT chart is applied to the monitored residuals evaluated for fault detection purposes. The developed MLT-based GLRT algorithm is implemented and validated using both simulated and real PV data. The results are evaluated in terms of false alarm rates (FAR), missed detection rates (MDR) and computation time.

关键词： Ground penetrating radar Monitoring Circuit faults Testing Photovoltaic systems Fault detection

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Red-black trees with constant update time

arXiv

引用

arXiv 2018年

作者： Elmasry, Amr Kahla, Mostafa Ahdy, Fady Hashem, Mahmoud Department of Computer Engineering and Systems Alexandria University Egypt Computer and Communications Engineering Program Alexandria University Egypt

We show how a few modifications to the red-black trees allow for O(1) worst-case update time (once the position of the inserted or deleted element is known). The resulting structure is based on relaxing some of the properties of the red-black trees while guaranteeing that the height remains logarithmic with respect to the number of nodes. Compared to the other search trees with constant update time, our tree is the first to provide a tailored deletion procedure without using the global rebuilding technique. In addition, our structure is very simple to implement and allows for a simpler proof of correctness than those alternative trees. Copyright © 2018, The Authors. All rights reserved.

关键词：

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A web-based active learning conceptual framework for innovative business plan creation : ddeveloping new tools for entrepreneurship education 22

A web-based active learning conceptual framework for innovat...

引用

22nd International computer Science and engineering Conference, ICSEC 2018

作者： Phuengpunum, Saravanee Piromsopa, Krerk Songkram, Noawanit Technopreneurship and Innovation Management Program Graduate School Chulalongkorn University Bangkok10330 Thailand Department of Computer Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Department of Educational Technology and Communications Faculty of Education Chulalongkorn University Bangkok10330 Thailand

ISBN: (纸本)9781538681640

This research aims to develop a framework for writing a business plan that support innovation for undergraduate students. The scope of this research is circumscribed to undergraduate students in Thailand. In respect of internet technology advancement and the popularity of internet access of teenagers, the researcher employs e-learning instruction media, which is considered a keystone to reduce educational inequalities. The study particularly introduces an established Nanoka's knowledge creation concept, which consists of Socialisation, Externalisation, Combination and Internalisation. In earlier times, this concept has been verified to create the domain of innovation in business organisation. Remarkably, it has been employed in the process of teaching innovative business plans and creativity management. This process specifically incorporates active learning, which turns the passive role of merely listening to active learners. The framework offers three principal contributions: first, to develop a new educational platform that implements active learning into E-Learning styles;second, to develop of an uncommon conceptual framework that adheres to theory reflecting good practices for innovation creation;third, taking this concept into practice, to help the universities build upon core strengths and students' innovation skills. It is the confluence of all contributions that make for a full-fledged entrepreneurial university. © 2018 IEEE.

关键词： E-learning

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Scaling Limitations of Line TFETs at Sub-8-nm Technology Node

Scaling Limitations of Line TFETs at Sub-8-nm Technology Nod...

引用

International Symposium on VLSI Technology, Systems and Applications

作者： Narasimhulu Thoti Yiming Li Sekhar Reddy Kola Parallel and Scientific Computing Laboratory National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan EECS International Graduate Program National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan Institute of Communications Engineering National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan Department of Electrical and Computer Engineering National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan Center for mmWave Smart Radar System and Technologies National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan

ISBN: (数字)9781728142326

ISBN: (纸本)9781728142333

The scope of the work is to investigate limitations in device scaling by identifying various parameters of short channel effects (SCEs) in current challenging geometries of the line tunnel field effect transistors (TFETs). Key factors of the considered device, such as the doping and the thickness (t n ) of n-epitaxial region, and source-to-drain length (L SDeff ) scaling cannot be tuned anymore to boost the device characteristics for the sub-8-nm technology node. The main results of this study indicates that the engineering acceptable performance are achieved at a low doping of 5 × 10 18 cm -3 , an optimal t n as low (about 0.5 nm), and a L SDeff greater than 12.5 nm. Hence, the line TFETs below sub-8-nm faces serious bottleneck of scaling and cannot be further scaled with the conventional scaling rule at all.

关键词： Electron devices Solids

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Lithium-Ion Batteries: Operando Magnetometry Probing the Charge Storage Mechanism of CoO Lithium-Ion Batteries (Adv. Mater. 12/2021)

引用

Advanced Materials 2021年第12期33卷

作者： Hongsen Li Zhengqiang Hu Qingtao Xia Hao Zhang Zhaohui Li Huaizhi Wang Xiangkun Li Fengkai Zuo Fengling Zhang Xiaoxiong Wang Wanneng Ye Qinghao Li Yunze Long Qiang Li Shishen Yan Xiaosong Liu Xiaogang Zhang Guihua Yu Guo-Xing Miao College of Physics Center for Marine Observation and Communications Qingdao University Qingdao 266071 China School of Physics State Key Laboratory of Crystal Materials Shandong University Jinan 250100 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology (SIMIT) Chinese Academy of Sciences Shanghai 200050 China College of Material Science and Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Materials Science and Engineering Program and Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 USA Department of Electrical and Computer Engineering & Institute for Quantum Computing University of Waterloo Waterloo ON N2L 3G1 Canada

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A Web-based Active Learning Conceptual Framework for Innovative Business Plan Creation : Developing New Tools for Entrepreneurship Education

A Web-based Active Learning Conceptual Framework for Innovat...

引用

International computer Science and engineering Conference (ICSEC)

作者： Saravanee Phuengpunum Krerk Piromsopa Noawanit Songkram Technopreneurship and Innovation Management Program Graduate School Chulalongkorn University Bangkok Thailand Department of Computer Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Educational Technology and Communications Faculty of Education Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9781538681657;9781538681640

This research aims to develop a framework for writing a business plan that support innovation for undergraduate students. The scope of this research is circumscribed to undergraduate students in Thailand. In respect of internet technology advancement and the popularity of internet access of teenagers, the researcher employs e-learning instruction media, which is considered a keystone to reduce educational inequalities. The study particularly introduces an established Nanoka's knowledge creation concept, which consists of Socialisation, Externalisation, Combination and Internalisation. In earlier times, this concept has been verified to create the domain of innovation in business organisation. Remarkably, it has been employed in the process of teaching innovative business plans and creativity management. This process specifically incorporates active learning, which turns the passive role of merely listening to active learners. The framework offers three principal contributions: first, to develop a new educational platform that implements active learning into E-Learning styles; second, to develop of an uncommon conceptual framework that adheres to theory reflecting good practices for innovation creation; third, taking this concept into practice, to help the universities build upon core strengths and students' innovation skills. It is the confluence of all contributions that make for a full-fledged entrepreneurial university.

关键词： Technological innovation Education Senior citizens Tools Production Market research

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