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arXiv 2022年

作者： Shashank, Utkarsh Deka, Angshuman Fukuma, Yasuhiro Ye, Chen Wang, X. Renshaw Gupta, Surbhi Rawat, Rajdeep Singh Medwal, Rohit Asada, Hironori Department of Physics and Information Technology Faculty of Computer Science and System Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka820-8502 Japan Birck Nanotechnology Center School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Research Center for Neuromorphic AI hardware Kyushu Institute of Technology Kitakyushu808-0196 Japan School of Physical and Mathematical Sciences Nanyang Technological University 637616 Singapore School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Natural Science and Science Education National Institute of Education Nanyang Technological University 637616 Singapore Department of Physics Indian Institute of Technology Kanpur Kanpur208016 India Graduate School of Sciences and Technology for Innovation Yamaguchi University 2-16-1 Tokiwadai Ube755-8611 Japan

Interfacial two-dimensional electron gas (2DEG), especially the SrTiO3-based ones at the unexpected interface of insulators, have emerged to be a promising candidate for efficient charge-spin current interconversion. In this article, to gain insight into the mechanism of the charge-spin current interconversion at the oxide-based 2DEG, we focused on conducting interfaces between insulating SrTiO3 and two types of aluminium-based amorphous insulators, namely SrTiO3/AlN and SrTiO3/Al2O3, and estimated their charge-spin conversion efficiency, θcs. The two types of amorphous insulators were selected to explicitly probe the overlooked contribution of oxygen vacancy to the θcs. We proposed a mechanism to explain results of spin-torque ferromagnetic resonance (ST-FMR) measurements and developed an analysis protocol to reliably estimate the θcs of the oxide based 2DEG. The resultant θcs/t, where t is the thickness of the 2DEG, were estimated to be 0.244 nm-1 and 0.101 nm-1 for the SrTiO3/AlN and SrTiO3/Al2O3, respectively, and they are strikingly comparable to their crystalline counterparts. Furthermore, we also observe a large direct current modulation of resonance linewidth in SrTiO3/AlN samples, confirming its high θcs and attesting an oxygen-vacancy-enabled charge-spin conversion. Our findings emphasize the defects' contribution to the charge-spin interconversion, especially in the oxide-based low dimensional systems, and provide a way to create and enhance charge-spin interconversion via defect engineering. Copyright © 2022, The Authors. All rights reserved.

关键词： Aluminum compounds

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Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution

arXiv

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arXiv 2022年

作者： Li, Wenjie Li, Juncheng Gao, Guangwei Deng, Weihong Zhou, Jiantao Yang, Jian Qi, Guo-Jun The Intelligent Visual Information Perception Laboratory Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing210046 China The Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China The School of Communication and Information Engineering Shanghai University Shanghai200444 China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology Nanjing210094 China The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China The State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science Faculty of Science and Technology University of Macau 999078 China The School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210094 China The Research Center for Industries of the Future The School of Engineering Westlake University Hangzhou310024 China OPPO Research SeattleWA98101 United States

Recently, Transformer-based methods have shown impressive performance in single image super-resolution (SISR) tasks due to the ability of global feature extraction. However, the capabilities of Transformers that need to incorporate contextual information to extract features dynamically are neglected. To address this issue, we propose a lightweight Cross-receptive Focused Inference Network (CFIN) that consists of a cascade of CT Blocks mixed with CNN and Transformer. Specifically, in the CT block, we first propose a CNN-based Cross-Scale Information Aggregation Module (CIAM) to enable the model to better focus on potentially helpful information to improve the efficiency of the Transformer phase. Then, we design a novel Cross-receptive Field Guided Transformer (CFGT) to enable the selection of contextual information required for reconstruction by using a modulated convolutional kernel that understands the current semantic information and exploits the information interaction within different self-attention. Extensive experiments have shown that our proposed CFIN can effectively reconstruct images using contextual information, and it can strike a good balance between computational cost and model performance as an efficient model. Source codes will be available at https://***/IVIPLab/CFIN. Copyright © 2022, The Authors. All rights reserved.

关键词： Semantics

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A Compact Low Power AI Module Mounted on Drone for Plant Monitor system 8

A Compact Low Power AI Module Mounted on Drone for Plant Mon...

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8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019

作者： Kobayashi, Tomoki Yokogawa, Tomoyuki Igawa, Nao Sato, Yoichiro Fujii, Satoshi Arimoto, Kazutami Graduate School of Computer Science and Systems Engineering Okayama Prefectural University Soja Okayama Japan Faculty of Computer Science and System Engineering Okayama Prefectural University Soja Okayama Japan Information and Communication Systems Engineering National Institute of Technology Okinawa College Nago Okinawa Japan

This paper describes the compact and low power AI DNN discriminator which is mounted on the small drone like a hobby type. By adopting this AI module, the effective plant monitoring system using the drone has been ach... 详细信息

ISBN: (纸本)9781728126272

关键词： Energy efficiency

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Combining Rough Set-based Relevance and Redundancy for the Ranking and Selection of Nominal Features

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Procedia computer science 2020年 176卷 1459-1468页

作者： Wojciech Froelich Petr Hajek Institute of Computer Science University of Silesia ul. Bedzinska 39 Sosnowiec Poland Institute of System Engineering and Informatics Faculty of Economics and Administration University of Pardubice Studentska 84 532 10 Pardubice Czech Republic

In this paper, we propose a new method for features ranking and selection. Our approach is based on ranking nominal features in terms of their relevance to the assigned class and mutual redundancy with the other features. To calculate the relevance and redundancy, we propose to use a rough-set based approach. After performing the ranking, features filtering is carried out in a supervised way enabling the user to decide on the number of the retained features. The experiments revealed that thanks to our method, it is possible to filter out numerous features describing data while still maintaining satisfactory classification accuracy achieved by the classifier trained using the reduced dataset. The comparative experiments performed with the use of publicly available datasets proved the high efficiency and competitiveness of our approach.

关键词： feature ranking feature selection rough sets

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The effect of angle of attack in case of tandem buildings

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AIP Conference Proceedings 2023年 030023页

作者： Pavel Procházka Václav Svoboda Václav Uruba Renata Gnatowska Institute of Thermomechanics of the Czech Academy of Sciences Dolejškova 5 Praha 8 Czech Republic Faculty of Nuclear Sciences and Physical Engineering CTU in Prague Břehová 7 Praha 1 Czech Republic UWB Faculty of Mechanical Engineering Department of Power System Engineering Universitní 8 Plzeň Czech Republic Czestochowa University of Technology Faculty of Mechanical Engineering and Computer Science 21 Armii Krajowej Av Czestochowa Poland

The flow field between two tandem buildings will be investigated using PIV technique and the effect of various angles of incoming flow will be described. The 3D model is composed from two blocks of different size arrangement (ratio is 0.6) and it is subjugated to well-developed boundary layer. Experiments are conducted for many vertical and horizontal planes to study statistical features of the flow.

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A Survey Research on the Willingness of Gynecologists to Employ Mobile Health Applications

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Computational Intelligence and Neuroscience 2021年 2021卷 1220374页

作者： Alazzam, Malik Bader Al-Radaideh, Ahmad Tawfig Alhamarnah, Raed Ahmed Alassery, Fawaz Hajjej, Fahima Halasa, Azmi Faculty of Computer Science and Informatics Amman Arab University Amman Jordan Department of Mis College of Business Jadara University Irbid Jordan Computer and Information System Department University of Almaarefa Riyadh Saudi Arabia Department of Computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Information Systems College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P. O. Box 84428 Riyadh11671 Saudi Arabia

In gynecological care, mHealth (mobile health) technology may play an important role. Medical professionals' willingness to use this technology is the key to its acceptance. Most doctors utilize mobile health technology;however, there is still room for improvement in the use of mHealth. Gynecologists were asked to participate in this research to see how open they were to use mobile health technologies. In this descriptive-analytical investigation, the researchers determined the average scores for each variable. The overall mean for preparedness to embrace mobile medical technology is 1.8 out of 2, as shown in Table 1. When it came to their desire to embrace mobile health technology, doctors' years of experience correlated negatively with their age. According to our findings, the amount of interest in mobile health technology is high. Patients' private information must be protected throughout the usage of this technology though. Mobile health technology may effectively reach patients in remote areas, but it is not a substitute for face-to-face encounters with medical professionals. © 2021 Malik Bader Alazzam et al.

关键词： mHealth

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A detailed comparison of MYD11 and MYD21 land surface temperature products in China's Mainland

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International Journal of Digital Earth 2020年第12期13卷 1391-1407页

作者： Rui Yao Lunche Wang Shaoqiang Wang Lizhe Wang Jing Wei Junli Li Deqing Yu Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Faculty of Computer Science China University of GeosciencesWuhanPeople’s Republic of China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhanPeople’s Republic of China State Key Laboratory of Remote Sensing Science College of Global Change and Earth System ScienceBeijing Normal UniversityBeijingPeople’s Republic of China Department of Atmospheric and Oceanic Science Earth System Science Interdisciplinary CenterUniversity of MarylandCollege ParkMDUSA School of Resources and Environment Anhui Agricultural UniversityHefeiAnhuiPeople’s Republic of China Hunan Key Laboratory of remote sensing of ecological environment in Dongting Lake Area Hunan Natural Resources Affairs CenterChangshaPeople’s Republic of China

Land surface temperature(LST)is a key parameter in land surface *** National Aeronautics and Space Administration(NASA)recently released new Moderate Resolution Imaging Spectroradiometer(MODIS)LST products(MOD21 and MYD21).Here,we conducted a detailed comparison between the MYD11 and MYD21 LST data in China's *** LSTs of MYD21 were approximately 1℃ higher than those of MYD11 averaged for China's Mainland,as MYD21 corrected the cold bias of *** proportions of the valid value of MYD21 were generally lower than those of MYD11 because the cloud removal method of MYD21 was stricter than that of ***,the outliers were less significant in MYD11 than in MYD21 because the outliers in MYD11 were removed using temporal constraints on *** outliers in MYD21A2 resulted in a difference of greater than 3℃ in average seasonal surface urban heat island intensity(SUHII)between MYD11A2 and ***,using MYD11 may underestimate the slope of long-term trends of ***21 LST data may have some uncertainties in urban *** study provided a reference for users for selecting LST products and for data producers to further improve MODIS LST products.

关键词： Remote sensing land surface temperature data comparison surface urban heat island China's Mainland

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Pinning boundary sampled-data synchronization of coupled reaction–diffusion neural networks

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Neurocomputing 2025年 648卷

作者： Zi-Peng Wang Bo-Ming Chen Junfei Qiao Biao Luo Huai-Ning Wu Tingwen Huang Guangwei Chen School of Information Science and Technology Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System and Beijing Institute of Artificial Intelligence Beijing University of Technology Beijing 100124 China School of Automation Central South University Changsha 410083 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen 518107 China

In this paper, the pinning boundary sampled-data (SD) synchronization problem of coupled reaction–diffusion neural networks (CRDNNs) with SD-based couplings is investigated under boundary and distributed SD measurements. First, a pinning boundary SD controller is designed to effectively address the synchronization problem of CRDNNs, utilizing boundary and distributed SD measurements and requiring only a small number of sensors and actuators. Then, linear matrix inequalities provide adequate conditions that ensure exponential stability of the synchronization error system by using the designed pinning boundary SD controller, derived through inequality techniques and Lyapunov functionals. Finally, we present a numerical example to showcase the practical applicability and effectiveness of the proposed pinning boundary SD synchronization method.

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Optoelectronic properties analysis of silicon light-emitting diode monolithically integrated in standard CMOS IC

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Chinese Physics B 2019年第10期28卷 115-120页

作者： Yanxu Chen Dongliang Xu Kaikai Xu Ning Zhang Siyang Liu Jianming Zhao Qian Luo State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengdu 610054China National ASIC System Engineering Research Center Southeast UniversityNanjing 210096China Department of Electrical Engineering University of South AfricaPretoria 0001South Africa Faculty of Electrical and Computer Engineering State University of Campinas-UNICAMPCampinas CEP 13083-852Brazil

Si p^+n junction diodes operating in the mode of avalanche breakdown are capable of emitting light in the visible range of 400-900 nm. In this study, to realize the switching speed in the GHz range, we present a transient model to shorten the carrier lifetime in the high electric field region by accumulating carriers in both p and n type regions. We also verify the optoelectronic characteristics by disclosing the related physical mechanisms behind the light emission phenomena. The emission of visible light by a monolithically integrated Si diode under the reverse bias is also discussed. The light is emitted as spatial sources by the defects located at the p-n junction of the reverse-biased diode. The influence of the defects on the electrical behavior is manifested as a current-dependent electroluminescence.

关键词： silicon light-emitting diode reverse bias electro-optic modulation

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Smart Monitoring Temperature and Humidity of the Room Server Using Raspberry Pi and Whatsapp Notifications

Smart Monitoring Temperature and Humidity of the Room Server...

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Universitas Riau International Conference on science and Environment 2019, URICSE 2019

作者： Kurniawan, Dwi Ely Iqbal, Mohd Friadi, John Borman, Rohmat Indra Rinaldi, Rio Department of Informatics Engineering Politeknik Negeri Batam Indonesia Department of Informatics Engineering STIKOM Muhammadiyah Batam Indonesia Department of Information System Batam University Indonesia Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia

The server room is a room that stores data, there is company information (Data Center). Hot server room conditions can cause performance on the device and network to decrease. Therefore an admin must keep the server space stable so that the server and network performance is maintained. The temperature monitoring system can be used to monitor temperature and humidity in the server room. In addition, it provides a response to reduce the temperature if there is a temperature increase in the server room. This study uses the Internet of Thing (IoT), which is a device used by the Raspberry Pi and Wemos DHT Shield wireless sensor as a device that is able to read the temperature and humidity conditions of the room. Temperature and humidity log data is stored in the MySQL database, then displayed in a chart diagram in real time. IoT response based on predetermined temperature standards by giving notifications to users via Whatsapp Application on mobile devices. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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