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1st International Conference on Embedded Systems and Artificial Intelligence, ESAI 2019

作者： El Makhfi, Noureddine Laboratory of Physics Mathematics Computer Science and Communication Department of Mathematics and Computer Science Faculty of Science and Technology Al-Hoceima Abdelmalek Essaadi University Tetouan Morocco

ISBN: (纸本)9789811509469

The sharp increase in the number of historical documents available as images in national libraries only increases their storage capacity. The need for access to content of this cultural heritage is also increasing. The methods of indexing and searching in image content are still very limited. Text segmentation of digital historical documents is an important step in recognizing content as images. In this paper, we present an original method of segmentation of lines and pseudo-words in historical documents based on Gaussian filters. Our method consists in detecting elliptical blobs in scales formed by Gaussian filters. Experimental tests are performed on hundreds of pages of historical documents. The experimental results showed with this method are excellent in front of other methods of text segmentation in manuscript images. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Digital libraries

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Continuous thermomajorization and a complete set of laws for Markovian thermal processes

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Physical Review A 2022年第1期106卷 012426-012426页

作者： Matteo Lostaglio Kamil Korzekwa Korteweg-de Vries Institute for Mathematics and QuSoft University of Amsterdam Amsterdam 1098 XG The Netherlands QuTech Delft University of Technology P.O. Box 5046 2600 GA Delft The Netherlands Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University 30-348 Kraków Poland

The standard dynamical approach to quantum thermodynamics is based on Markovian master equations describing the thermalization of a system weakly coupled to a large environment, and on tools such as entropy production relations. Here we develop a framework overcoming the limitations that the current dynamical and information theory approaches encounter when applied to this setting. More precisely, we introduce the notion of continuous thermomajorization and employ it to obtain necessary and sufficient conditions for the existence of a Markovian thermal process transforming between given initial and final energy distributions of the system. These lead to a complete set of generalized entropy production inequalities including the standard one as a special case. Importantly, these conditions can be reduced to a finitely verifiable set of constraints governing nonequilibrium transformations under master equations. What is more, the framework is also constructive, i.e., it returns explicit protocols realizing any allowed transformation. These protocols use as building blocks elementary thermalizations, which we prove to be universal controls. Finally, we also present an algorithm constructing the full set of energy distributions achievable from a given initial state via Markovian thermal processes and provide a Mathematica implementation solving d=6 on a laptop computer in minutes.

关键词： Open quantum systems Quantum thermodynamics Resource theories Information theory Quantum master equation

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Performance and Stability of Halide Perovskite Solar Cells in Bahir Dar Climatic Conditions 9th

Performance and Stability of Halide Perovskite Solar Cells i...

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9th EAI International Conference on Advancement of science and technology, ICAST 2021

作者： Meheretu, Getnet M. Wubetu, Getasew A. Roose, Bart Kassew, Amare Shimels, Hailu Tilahun, Seifu A. Tennyson, Elizabeth M. Stranks, Samuel D. Energy Center Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Department of Physics College of Science Bahir Dar University Bahir Dar Ethiopia Faculty of Civil and Water Resources Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Faculty of Electrical and Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Faculty of Mechanical and Industrial Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Department of Physics Cavendish Laboratory University of Cambridge Cambridge United Kingdom Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge United Kingdom

ISBN: (纸本)9783030937119

Perovskite solar cells are one of the most promising solar cell technologies, showing rapid development in power conversion efficiency (PCE). In this work, the performance and stability of triple-cation perovskite solar cells under continuous outdoor illumination in Bahir Dar climatic conditions and also the luminescence properties using steady-state photoluminescence (PL) spectroscopy has been studied. The work is conducted to study the electrical characterisation of the device under investigation in outdoor testing under ambient conditions to study the open-circuit voltage, short-circuit current density, fill factor, and efficiency of the device and obtained a PCE of above 16%, and a fill factor of above 60% with strong PL peak emission at 757 nm. © 2022, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Energy gap

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Stochastic gravitational wave background anisotropies from inflation with non-Bunch-Davies states

arXiv

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arXiv 2024年

作者： Akama, Shingo Hirano, Shin'ichi Yokoyama, Shuichiro Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow30-348 Poland National Institute of Technology Oyama College 771 Nakakuki Oyama-shi Tochigi323-0806 Japan Department of Physics Rikkyo University Toshima Tokyo171-8501 Japan Kobayashi Maskawa Institute Nagoya University Chikusa Aichi464-8602 Japan UTIAS The University of Tokyo Chiba Kashiwa277-8583 Japan

It has been known that stochastic gravitational wave backgrounds (SGWBs) have anisotropies generated by squeezed-type tensor non-Gaussianities originating from scalar-tensor-tensor (STT) and tensor-tensor-tensor cubic interactions. While the squeezed tensor non-Gaussianities in the standard slow-roll inflation with the Bunch-Davies vacuum state are suppressed due to the so-called consistency relation, those in extended models with the violation of the consistency relation can be enhanced. Among such extended models, we consider the inflation model with the non-Bunch-Davies state that has been known to enhance the squeezed tensor non-Gaussianities. We explicitly formulate the primordial STT bispectrum induced during inflation in the context of Horndeski theory with the non-Bunch-Davies state and show that the induced SGWB anisotropies can be enhanced. We then discuss the detectability of those anisotropies in future gravitational wave experiments. © 2024, CC BY.

关键词： Stochastic systems

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Comparison of Random Forest and Extreme Gradient Boosting Fingerprints to Enhance an indoor Wifi Localization System

Comparison of Random Forest and Extreme Gradient Boosting Fi...

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2021 International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2021

作者： Niang, Mariame Ndong, Massa Dioum, Ibra Diop, Idy Mashaly, Maggie Ghany, Mohamed A. Abd El Cheikh Anta Diop University of Dakar Faculty of Science and Technology Department of Physics Dakar Senegal Virtual University of Senegal Science and Technology Dakar Senegal Cheikh Anta Diop University of Dakar Polytechnic High School of Dakar Researcher of Electronic and Telecommunications Computer Science Department Dakar Senegal German University in Cairo Networking Department Cairo Egypt German University in Cairo Cairo Faculty of Information Engineering and Technology Dept. of Electronics Egypt

ISBN: (纸本)9781665412438

Machine Learning framework adds a new dimension to the localization estimation problem. It tries to find the most likely position using processed features in a radio map. This paper compares the performance of two machine learning tools, Random Forest (RF) and Extreme Gradient Boosting (XGBoost), in exploiting the multipath information for Indoor localization problem. The investigation was carried out in a noisy indoor scenario, where Non-Line-Of-Sight (NLOS) between target and sensors may affect the location of Wi-Fi Access point strongly. It is possible to improve the position system performance by using fingerprints techniques that employ multipath information in a Machine Learning framework, which operates a dataset generated by real time. Usually, real measurements produce the fingerprints localization features, and there is mismatching with the simulated data. Another drawback of NLOS features extraction is the noise level that occurs in position processing. Random Forest algorithm uses fully grown decision trees to classify possible emitter position, trying to achieve error mitigation by reducing variance. On the other hand, XGBoost approach uses weak learners, defined by high bias and low variance. The results of the simulation show that XGBoost reaches a Mean Square Error (MSE) of 1.77m while RF has 1.83m, as shown in Fig. (4). In real time analysis, 40 points were used for testing. RF has an MSE 1.85m and XGBoost has 1.82m. The results are compared to the state of the art and recently published papers. © 2021 IEEE.

关键词： Mean square error

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Improving the Performance of Perovskite Solar Cells by Forming a Matrix of Microlenses in Ito Electrode Using Single Laser Pulses

SSRN

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SSRN 2024年

作者： Augustowski, Dariusz Pawlowska, Agnieszka Izabela Kwaśnicki, Pawel Rysz, Jakub Research & Development Centre for Photovoltaics ML System S.A. Zaczernie 190G Zaczernie36-062 Poland Department of Advanced Materials Engineering Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Lojasiewicza 11 Cracow30-348 Poland

Perovskite-based photovoltaics is progressing towards commercial application, but still requires improvement in both efficiency and durability. In this paper, we present results on enhancing the performance of perovskite solar cells by introducing laser-induced texturizing at the ITO electrode, which could be easily up-scaled and applied to large area devices. Single pulses of the fibre laser were used to ablate the ITO and create a matrix of microlenses. Their role was to increase the diffusive transmittance of the patterned electrode and the light harvesting within the device. In addition, texturizing expands its active surface, which also has a beneficial effect on the performance of perovskite solar cells. According to data obtained, active layers (PEDOT:PSS, CH3NH3PbI3-xClx perovskite and PC70BM) did not fully fill the hollows, but formed continuous layers along the substrate topography. As a result, the power conversion efficiency increased from 8.2 to 11.0% for reference and patterned devices, respectively. © 2024, The Authors. All rights reserved.

关键词： Solar energy

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Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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Reduction of JPEG Artifacts using BSDEs 29

Reduction of JPEG Artifacts using BSDEs

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29th International Conference in Central Europe on computer Graphics, Visualization and computer Vision, WSCG 2021

作者： Borkowski, Dariusz Janczak-Borkowska, Katarzyna Faculty of Mathematics and Computer Science Nicolaus Copernicus University Chopina 12/18 Torun87-100 Poland Institute of Mathematics and Physics University of Science and Technology al. prof. S. Kaliskiego 7 Bydgoszcz85-789 Poland

ISBN: (纸本)9788086943343

In this paper we propose a novel approach for reduction of JPEG artifacts using advanced techniques of stochastic calculus. In order to solve this problem we use backward stochastic differential equations (in short BSDEs) and the non local means method. In our algorithm we consider two processes. One of them has values in the image domain and determines pixels that will be involved in the reconstruction, the second one has values in the image codomain and gives weight to values of pixels. To calculate the weights, we use the idea of the patches similarity used in the non local means. Our experiments show that the new approach gives very good results and compares favourably with other methods. © 2021 university of West Bohemia. All rights reserved.

关键词： Pixels

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Out-Of-Equilibrium Electron Energy Loss Spectroscopy

Out-Of-Equilibrium Electron Energy Loss Spectroscopy

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Conference on Lasers and Electro-Optics (CLEO)

作者： Ron Ruimy Itay Lamprecht Aviv Karnieli Jamison Sloan Ido Kaminer Faculty of Electrical and Computer Engineering Technion – Israel Institute of Technology Haifa Israel Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts USA

We develop the general formalism that describes the inelastic scattering of free electrons by out-of-equilibrium materials. Utilizing modulated electrons further reveals previously inaccessible information and enables... 详细信息

ISBN: (纸本)9781957171258

关键词： Coherent states Electric fields Electrons Energy transfer Inelastic scattering Light matter interactions

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Superconducting dome with extended s-wave pairing symmetry in the heavily hole-overdoped copper-oxide planes

arXiv

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arXiv 2021年

作者： Zegrodnik, Michal Wójcik, P. Spalek, J. Academic Centre for Materials and Nanotechnology AGH University of Science and Technology Al. Mickiewicza 30 Krakow30-059 Poland AGH University of Science and Technology Faculty of Physics and Applied Computer science Al. Mickiewicza 30 Krakow30-059 Poland Institute of Theoretical Physics Jagiellonian University ul. Lojasiewicza 11 Krakow30-348 Poland

We analyze the two-orbital (with dx²−y² and d3z²−r² orbitals) analogue of the t-J-U model as applied to the description of the copper-oxide monolayer deposited on the Bi2Sr2CaCu2O8+δ substrate (CuO2/BSCCO). We show, that an extended s-wave superconducting dome appears in the heavily hole overdoped regime of the model, with dominant contribution to the pairing coming from the d3z²−r² orbitals. Also, the lower critical doping for the appearance of the SC state concurs with the Lifshitz Transition after which the hole-like Fermi pockets are created around the M points in the Brillouin zone. The obtained results are in accord with the recent experimental result [cf. Y. Zhong et al., Sci. Bull. 61, 1239 (2016)]. An analogous two-band description is also analyzed in the context of the Ba₂CuO₄−y bulk compound, where the heavily hole-overdoped situation is believed to be reached [cf. W. M. Li et al. PNAS 116, 12156 (2019)]. As we show, a two dome structure can be realized in such system with the d- and s-wave symmetries of the gap corresponding to the low hole-doping and heavily hole overdoped cases, respectively. © 2021, CC BY.

关键词： Copper oxides

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