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21st IEEE International Carpathian Control Conference, ICCC 2020

作者： Fiedler, Sascha Zacepins, Aleksejs Kviesis, Armands Komasilovs, Vitalijs Wakjira, Kibebew Nawawi, Marlis Hensel, Oliver Purnomo, Dwi University of Kassel Department of Agricultural and Biosystems Engineering Kassel Germany Latvia University of Life Sciences and Technologies Department of Computer Systems Jelgava Latvia Oromia Agricultural Research Institute Holeta Bee Research Center Holeta Ethiopia Universitas Padjadjaran Department of Agro-Industrial Technology Bandung Indonesia

ISBN: (纸本)9781728119519

Successful implementation of the Precision Beekeeping system includes development of the bee colony monitoring hardware and software for data collection and analysis. This paper focuses on development and installation of such system in two developing countries: Ethiopia and Indonesia. Challenges and peculiarities of the mentioned countries are compared and described in regards of the system installation process, beekeeper's apiary management practices and economic aspects. Bee colony monitoring hardware is based on Raspberry Pi Zero W single board computer as a main controller of the system and connected sensors for temperature, humidity, weight and acoustics. Software part includes cloud-based data warehouse solution with additional models for data analysis and web interface for the remote data monitoring and visualisation. Authors' approach is presented for linking together hardware components with a cloud software into single solution oriented on user needs in target countries. Main purpose of Precision Beekeeping systems is detecting the actual status of the colony and informing the beekeeper in case if unwanted colony behaviour occurs. Another significant aspect of the research is evaluation of the possibility to transfer knowledge and expertise to the experts in target countries. This work is carried out within the SAMS-Smart Apiculture Management Services project, which is funded by the European Union within the H2020-ICT-39-2016-2017 call. To find out more visit the project website https://***/. © 2020 IEEE.

关键词： Monitoring

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Compact portable holographic microscope for cell and particle counting in microfuidics

Compact portable holographic microscope for cell and particl...

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2020 Digital Holography and Three-Dimensional Imaging, DH 2020 - Part of Imaging and Applied Optics Congress

作者： Goncalves da Silva, A.J. Cacace, T. Bianco, V. Paturzo, M. Garcia Goncalves, L.M. Carcagnì, Pierluigi Distante, C. Ferraro, P. Department of Computer Engineering and Automation Federal University of Rio Grande do Norte Brazil National Research Council of Italy Institute of Applied Sciences and Intelligent Systems "E. Caianiello" Via Campi Flegrei 34 Pozzuoli Naples Italy National Research Council of Italy Institute of Applied Sciences and Intelligent Systems "E. Caianiello" Via Monteorni snc University Campus Lecce73100 Italy

ISBN: (纸本)9781557528209

关键词： Microscopes

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A Blockchain Cloud Computing Middleware for Academic Manuscript Submission

arXiv

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arXiv 2022年

作者： Gazis, Alexandros Anagnostakis, Giwrgos Kourmpetis, Stavros Katsiri, Eleftheria Democritus University of Thrace School of Engineering Department of Electrical and Computer Engineering Xanthi67100 Greece University of Piraeus School of Information and Communication Technologies Department of Informatics Piraeus18534 Greece National and Kapodistrian University of Athens School of Law Department of Law Athens10679 Greece Institute for the Management of Information Systems Athena Research & Innovation Center in Information Communication & Knowledge Technologies Marousi15125 Greece

One of the most important tasks in scientific publishing is the articles' evaluation via the editorial board and the reviewers' community. Additionally, in scientific publishing great concern exists regarding the peer-review process and how it can be further optimised to decrease the time from submission to the first decision, as well as increase the objectivity of the reviewers' remarks ensuring that no bias or human error exists in the reviewing process. In order to address this issue, our article suggests a novice cloud framework for manuscript submission based on blockchain technology that further enhances the anonymity between authors and reviewers alike. Our method covers the whole spectrum of current submission systems capabilities, but it also provides a decentralised solution using open-source tools such as Java Spring that enhance the anonymity of the reviewing process. © 2022, CC BY.

关键词： Blockchain

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Reconstruction of Air Shower Events Measured by the Surface Detectors of the TAx4 Experiment 37

Reconstruction of Air Shower Events Measured by the Surface ...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Jeong, Hyomin Abbasi, R.U. Abu-Zayyad, T. Allen, M. Arai, Y. Arimura, R. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cady, R. Cheon, B.G. Chiba, J. Chikawa, M. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Fukushima, R. Furlich, G. Gonzalez, R. Hanlon, W. Hayashi, M. Hayashida, N. Hibino, K. Higuchi, R. Honda, K. Ikeda, D. Inadomi, T. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwakura, H. Iwasaki, A. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawai, H. Kawakami, S. Kawana, S. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, J.H. Kim, M.H. Kim, S.W. Kimura, Y. Kishigami, S. Kubota, Y. Kurisu, S. Kuzmin, V. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lubsandorzhiev, B. Lundquist, J.P. Machida, K. Matsumiya, H. Matsuyama, T. Matthews, J.N. Mayta, R. Minamino, M. Mukai, K. Myers, I. Nagataki, S. Nakai, K. Nakamura, R. Nakamura, T. Nakamura, T. Nakamura, Y. Nakazawa, A. Nishio, E. Nonaka, T. Oda, H. Ogio, S. Ohnishi, M. Ohoka, H. Oku, Y. Okuda, T. Omura, Y. Ono, M. Onogi, R. Oshima, A. Ozawa, S. Park, I.H. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rubtsov, G.I. Ryu, D. Sagawa, H. Sahara, R. Saito, Y. Sakaki, N. Sako, T. Sakurai, N. Sano, K. Sato, K. Seki, T. Sekino, K. Shah, P.D. Shibasaki, Y. Shibata, F. Shibata, N. Shibata, T. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Sone, N. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, Y. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, H. Tanaka, K. Tanaka, M. Tanoue, Y. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Tomida, T. Troitsky, S. Tsuda, R. Tsunesada, Y. Uchihori, Y. Udo, S. Uehama, T. Urban, F. Wong, T. Yada, K. Yamamoto, M. Yamazaki, K. Yang, J. Yashiro, K. Yoshida, F. Yoshioka, Y. Zhezher, Y. Zundel, Z. Sungkyunkwan University Physics Department Seobu-ro Suwon-si2066 Korea Republic of Cooperation Center for Cosmic Ray Research Seobu-ro Suwon-si2066 Korea Republic of Department of Physics Loyola University Chicago ChicagoIL United States High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT United States Graduate School of Science Osaka City University Osaka Osaka Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul Korea Republic of Department of Physics Tokyo University of Science Chiba Noda Japan Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa Japan The Hakubi Center for Advanced Research Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto Japan Information Engineering Graduate School of Science and Technology Shinshu University Nagano Nagano Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano Japan The Graduate School of Science and Engineering Saitama University Saitama Saitama Japan Astrophysical Big Bang Laboratory RIKEN Saitama Wako Japan Department of Physics SungKyunKwan University Jang-an-gu Suwon Korea Republic of Department of Physics Tokyo City University Setagaya-ku Tokyo Japan Institute for Nuclear Research The Russian Academy of Sciences Moscow Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Minato-ku Tokyo Japan Department of Engineering Science Faculty of Engineering Osaka Electro-Communication University Neyagawa-shi Osaka Japan Department of Physics Chiba University Chiba Chiba Japan Service de Physique Théorique Université Libre de Bruxelles Brussels Belgium Department of P

The source, propagation and acceleration mechanism of ultra-high-energy cosmic rays (UHECR) have been investigated since the first discovery of the UHECRs to solve the mystery of the extremely high-energy universe. The Telescope Array times 4 (TAx4) experiment, which currently consists of 257 Surface Detectors (SDs) and 2 Fluorescence Detector (FD) stations, had been built in Utah, USA in 2019. The TAx4 SDs observe secondary particles in an extensive air shower induced by the UHECR, and we reconstruct arrival direction and energy of the UHECR using the signal intensities and timings measured by the SDs. We present the reconstruction procedure of the UHECR and the preliminary energy spectrum above 10 EeV measured by the TAx4 SDs. © Copyright owned by the author(s).

关键词： Fluorescence

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025年 14784 LNCS卷 v页

作者： Bai, Guangdong Ishikawa, Fuyuki Aït-Ameur, Yamine Papadopoulos, George A. School of Electrical Engineering and Computer Science Faculty of Engineering Architecture and Information Technology University of Queensland BrisbaneQLD Australia Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Chiyoda-ku Japan IRIT University of Toulouse Toulouse France Department of Computer Science University of Cyprus Nicosia Cyprus

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Are Quantum Radar Arrays Possible?

Are Quantum Radar Arrays Possible?

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2019 IEEE International Symposium on Phased Array systems and Technology, PAST 2019

作者： Luong, David Rajan, Sreeraman Balaji, Bhashyam Carleton University Department of Systems and Computer Engineering Ottawa Canada Radar Sensing and Exploitation Section Defence Research and Development Canada Ottawa Canada

ISBN: (纸本)9781728130491

Recently, a quantum-enhanced radar transmitter operating at microwave frequencies, called a quantum two-mode squeezing radar (QTMS radar), was demonstrated in the laboratory. Inspired by this, we discuss the possibility of building an array of quantum radars. In order for quantum radars to be practically relevant, it is important that an array can be built. We find that it is indeed possible to build such an array, but that the details matter. A quantum illumination radar array may not be very effective, but a QTMS radar array is quite amenable to array signal processing. We also briefly discuss the practical aspects of building a quantum radar array. © 2019 IEEE.

关键词： Radar

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Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud

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IEEE Transactions on Services Computing 2020年第1期13卷 114-129页

作者： Wahab, Omar Abdel Bentahar, Jamal Otrok, Hadi Mourad, Azzam Concordia Institute for Information Systems Engineering Concordia University MontréalQCH4B 1R6 Canada Department of ECE Khalifa University of Science Technology and Research Al Zafranah Abu Dhabi127788 United Arab Emirates Department of Mathematics and Computer Science Lebanese American University Beirut1102 2801 Lebanon

Distributed Denial of Service (DDoS) constitutes a major threat against cloud systems owing to the large financial losses it incurs. This motivated the security research community to investigate numerous detection techniques to limit such attack's effects. Yet, the existing solutions are still not mature enough to satisfy a cloud-dedicated detection system's requirements since they overlook the attacker's wily strategies that exploit the cloud's elastic and multi-tenant properties, and ignore the cloud system's resources constraints. Motivated by this fact, we propose a two-fold solution that allows, first, the hypervisor to establish credible trust relationships toward guest Virtual Machines (VMs) by considering objective and subjective trust sources and employing Bayesian inference to aggregate them. On top of the trust model, we design a trust-based maximin game between DDoS attackers trying to minimize the cloud system's detection and hypervisor trying to maximize this minimization under limited budget of resources. The game solution guides the hypervisor to determine the optimal detection load distribution among VMs in real-time that maximizes DDoS attacks' detection. Experimental results reveal that our solution maximizes attacks' detection, decreases false positives and negatives, and minimizes CPU, memory and bandwidth consumption during DDoS attacks compared to the existing detection load distribution techniques. © 2008-2012 IEEE.

关键词： Cloud computing

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On the computation of ISO amplitude and frequency indices using a discrete wavelet transform model and application to the study of the annual cycle of ISO activity in Central Africa

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Bulletin of Atmospheric Science and Technology 2021年第1-4期2卷 1-18页

作者： Sandjon, Alain Tchakoutio Takougang, Armand Nzeukou Ibouraïma, Yabi Vondou, Derbetini Appolinaire Tchotchou, Angennes Lucie Djiotang Department of Computer Science including Basic sciences Higher Technical Teacher’s Training College Kumba University of Buea P.O box 249 Buea Road Kumba Cameroon Laboratory of environmental modelling and atmospheric Physics University of Yaoundé I Yaoundé Cameroon Laboratory of industrial Systems and environmental engineering Fotso Victor university institute of Technology University of Dschang Bandjoun Cameroon Pierre PAGNEY Laboratory: Climate Water Ecosystems and Development (LACEEDE) Department of Geography and regional planning (DGAT) Université Abomey-Calavi Abomey-Calavi Benin

The role of the intraseasonal oscillations (ISOs) in the tropical climate system has been widely investigated by researchers around the world. However for the better representation of ISOs in climate models, one of the greatest challenges remains the definition of suitable ISO-related metrics. As attempt to the definition of these ISO-related metrics, we proposed in this paper an algorithm for the computation of ISO intensity (ISOI) and ISO periods (ISOP) indices using a discrete wavelet transform (DWT) model. Then we used these indices to investigate the annual cycle of ISO activity in Central Africa (CA). The plots of spatial distribution of ISOI and ISOP show that both quantities exhibit strong month-to-month variations throughout the year. In fact, the high values of ISOI are observed during December–May and lower values during June–November, while the ISOP values are high December–February and June–August and lower values during March–May and September–December. We also accessed the large-scale dynamics associated with the ISO activity and found that over the land, the incursions of the moisture flux from Atlantic and Indian basins are of great contribution in the annual variations of ISOI. Finally, we studied the impact of ISO on rainfall and showed that the influence of ISO on rainfall strongly varies throughout the year, with maximum impact during June and minimum impact during November. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Central Africa Discrete wavelet transform Intraseasonal oscillations

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Comparison of Time Series Clustering Algorithms for Machine State Detection

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Procedia CIRP 2020年 93卷 1352-1357页

作者： Martin Hennig Manfred Grafinger Detlef Gerhard Stefan Dumss Patrick Rosenberger TU Wien Institute of Engineering Design and Product Development – Research Area Mechanical Engineering Informatics and Virtual Product Development Getreidemarkt 9/307 1060 Vienna Austria Ruhr-Universität Bochum Institute of Product and Service Engineering - Chair for Digital Engineering Systems Universitätsstraße 150 44801 Bochum Germany

New developments in domains like mathematics and statistical learning and availability of easy-to-use, often freely accessible software tools offer great potential to transform the manufacturing domain and their grasp on the increased manufacturing data repositories sustainably. One of the most exciting developments is in the area of machine learning. Time series clustering could be utilized in machine state detection which can be used in predictive maintenance or online optimization. This paper presents a comparison of freely available time series clustering algorithms, by applying several combinations of different algorithms to a database of public benchmark technical data.

关键词： Machine Learning Industry 4.0 Time Series Clustering Predictive Maintenance Unsupervised Learning Internet of Things

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Lightweight equivariant model for efficient machine learning interatomic potentials

arXiv

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arXiv 2023年

作者： Yang, Ziduo Wang, Xian Li, Yifan Lv, Qiujie Chen, Calvin Yu-Chian Shen, Lei Department of Mechanical Engineering National University of Singapore Singapore117575 Singapore Artificial Intelligence Medical Research Center School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen518107 China Department of Physics National University of Singapore Singapore117551 Singapore -Preferred Program School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China State Key Laboratory of Chemical Oncogenomics School of Chemical Biology and Biotechnology Peking University Shenzhen Graduate School Shenzhen518055 China Guangdong L-Med Biotechnology Co. Ltd Guangdong Meizhou514699 China Research Institute Chongqing401123 China

In modern computational materials science, deep learning has shown the capability to predict interatomic potentials, thereby supporting and accelerating conventional simulations. However, existing models typically sacrifice either accuracy or efficiency. Moreover, lightweight models are highly demanded for offering simulating systems on a considerably larger scale at reduced computational costs. Here, we introduce a lightweight equivariant interaction graph neural network (LEIGNN) that can enable accurate and efficient interatomic potential and force predictions for molecules and crystals. Rather than relying on higher-order representations, LEIGNN employs a scalar-vector dual representation to encode equivariant features. By learning geometric symmetry information, our model remains lightweight while ensuring prediction accuracy and robustness through the equivariance. Our results show that LEIGNN consistently outperforms the prediction performance of the representative baselines and achieves significant efficiency across diverse datasets, which include catalysts, molecules, and organic isomers. Furthermore, we conduct molecular dynamics (MD) simulations using the LEIGNN force field across solid, liquid, and gas systems. It is found that LEIGNN can achieve the accuracy of ab initio MD across all examined systems. Copyright © 2023, The Authors. All rights reserved.

关键词： Prediction models

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