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38th International Cosmic Ray Conference, ICRC 2023

作者： Takita, M. Amenomori, M. Bao, Y.W. Bi, X.J. Chen, D. Chen, T.L. Chen, W.Y. Chen, Xu Chen, Y. Cirennima Cui, S.W. Danzengluobu Ding, L.K. Fang, J.H. Fang, K. Feng, C.F. Feng, Zhaoyang Feng, Z.Y. Gao, Qi Gou, Q.B. Guo, Y.Q. Guo, Y.Y. Hayashi, Y. He, H.H. He, Z.T. Hibino, K. Hotta, N. Hu, Haibing Hu, H.B. Hu, K.Y. Huang, J. Jia, H.Y. Jiang, L. Jiang, P. Jin, H.B. Kasahara, K. Katayose, Y. Kato, C. Kato, S. Kawahara, I. Kawashima, T. Kawata, K. Kozai, M. Labaciren Le, G.M. Li, A.F. Li, H.J. Li, W.J. Li, Y. Lin, Y.H. Liu, B. Liu, C. Liu, J.S. Liu, L.Y. Liu, M.Y. Liu, W. Lu, H. Makishima, T. Masuda, Y. Matsuhashi, S. Matsumoto, M. Meng, X.R. Meng, Y. Mizuno, A. Munakata, K. Nakamura, Y. Nanjo, H. Ning, C.C. Nishizawa, M. Noguchi, R. Ohnishi, M. Okukawa, S. Ozawa, S. Qian, X. Qian, X.L. Qu, X.B. Saito, T. Sakata, M. Sako, T. Sako, T.K. Sasaki, T. Shao, J. Shibasaki, T. Shibata, M. Shiomi, A. Sugimoto, H. Takano, W. Tan, Y.H. Tateyama, N. Torii, S. Tsuchiya, H. Udo, S. Usui, R. Wang, H. Wang, S.F. Wang, Y.P. Wangdui Wu, H.R. Wu, Q. Xu, J.L. Xue, L. Yang, Z. Yao, Y.Q. Yin, J. Yokoe, Y. Yu, Y.L. Yuan, A.F. Zhai, L.M. Zhang, H.M. Zhang, J.L. Zhang, X. Zhang, X.Y. Zhang, Y. Zhang, Yi Zhang, Ying Zhao, S.P. Zhaxisangzhu Zhou, X.X. Zou, Y.H. Department of Physics Hirosaki University Hirosaki036-8561 Japan School of Astronomy and Space Science Nanjing University Nanjing210093 China Key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China National Astronomical Observatories Chinese Academy of Sciences Beijing1 00101 China Department of Mathematics and Physics Tibet University Lhasa850000 China Department of Physics Hebei Normal University Shijiazhuang050016 China University of Chinese Academy of Sciences Beijing100049 China Shandong University Qingdao26 6237 China Institute of Modern Physics SouthWest Jiaotong University Chengdu610031 China Department of Physics Shinshu University Matsumoto390-8621 Japan Faculty of Engineering Kanagawa University Yokohama221-8686 Japan Faculty of Education Utsunomiya University Utsunomiya321-8505 Japan Faculty of Systems Engineering Shibaura Institute of Technology Omiya330-8570 Japan Faculty of Engineering Yokohama National University Yokohama240-8501 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa277-8582 Japan Polar Environment Data Science Center Joint Support-Center for Data Sci ence Research Research Organization of Information and Systems Tachikawa190- 0014 Japan National Center for Space Weather China Meteorological Administration Beijing100081 China School of Information Science and Engineering Shandong Agriculture Univ ersity Taian271018 China Department of Astronomy School of Physical Sciences University of Scie nce and Technology of China Hefei230026 China National Institute of Informatics Tokyo101-8430 Japan National Institute of Information and Communications Technology Tokyo1 84-8795 Japan Department of Mechanical and Electrical Engineering Shangdong Managemen t University Jinan250357 China College of Science China University of Petroleum Qingdao266555 China Tokyo Metropolitan College of Industrial Technology Tokyo116-8523 Japa

The Tibet ASγ experiment, observing cosmic rays/gamma rays above a few TeV, is located at 4,300m above sea level, in Tibet, China. The experiment is composed of a 65,700 m2 surface air shower array and 3,400 m2 underground water Cherenkov muon detectors. The surface air shower array is used for reconstructing the primary particle energy and direction, while the underground muon detectors are used for discriminating gamma-ray induced muon-poor air showers from cosmic-ray (proton, helium,...) induced muon-rich air showers. Furthermore, the underground muon detectors turn out to be effective to select the proton component in cosmic rays. We present the recent progress on analysis method for the proton energy spectrum in the hundred TeV region by means of proton selection by the underground muon detector information, and on the recent 100 TeV gamma-ray observation. In addition, we discuss the modelling of the cosmic-ray anisotropy observed in the TeV region. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmic rays

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A tale of two countries: Optimal control and cost-effectiveness analysis of monkeypox disease in Germany and Nigeria

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Healthcare Analytics 2023年 4卷 100258-100258页

作者： Akinyemi, Samuel Tosin Idisi, Isaiah Oke Rabiu, Musa Okeowo, Victoria Iyabode Iheonu, Nneka Dansu, Emmanuel Jesuyon Abah, Roseline Toyin Mogbojuri, Oluwaseun Akinlo Audu, Alogla Monday Yahaya, Mukhtar Muhammed Ebimobowei, Johnny Samuel Akande, Kazeem Babatunde Ojoma, Atede Anne Adeniji, Adejimi Adesola Oshinubi, Kayode Department of Mathematics Sikiru Adetona College of Education Science and Technology Ogun State Nigeria Department of Mathematical Sciences Federal University of Technology Ondo State Akure Nigeria Technion Israel Institute of Technology Haifa Israel International Centre for Applied Mathematical Modelling and Data Analytics (ICAMMDA) in partnership with the West Africa Mathematical Modeling Capacity Development (WAMCAD) Nigeria Department of Mathematical Sciences Stellenbosch University South Africa Department of Mathematics Federal University of Technology Imo State Owerri Nigeria Graduate School of Life Sciences Tohoku University Sendai Japan Department of Mathematics University of Abuja FCT Nigeria Department of Mathematical Sciences Adekunle Ajasin University Ondo State Akungba-Akoko Nigeria Department of Mathematics Nasarawa State University Nasarawa State Keffi Nigeria Department of Mathematics Federal University of Technology Niger State Minna Nigeria Department of Mathematical Sciences Baze University Abuja FCT Nigeria Department of Mathematics and Statistics Tshwane University of Technology Pretoria South Africa School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff 86011 AZ United States

The Monkeypox (Mpox) virus started developing as potentially fatal in Spring 2022. Mpox is a zoonotic disease that can spread between animals and people. While the cases in Nigeria are on the rise, Germany has become one of Europe's most impacted nations. Mathematical modeling is useful for monitoring, managing, and predicting infectious disease epidemics. This study incorporates the transmission rate of human-to-animal and animal-to-animal in a compartmental mathematical model of Mpox to capture the current trend in transmission for wildlife and human preservation. Parameters were estimated while the model was fitted to reported case data of Mpox from Nigeria and Germany to capture the trend in Europe and West Africa. Analyses such as optimal control, sensitivity, and cost-effectiveness were carried out. The results show that the best strategy to combat the spread of the virus is through changing behavior and personal hygiene among humans. © 2023 The Author(s)

关键词： Case data Cost-effectiveness Mathematical model Model fitting Mpox Optimal control

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A Consensus Privacy Metrics Framework for Synthetic data

arXiv

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arXiv 2025年

作者： Pilgram, Lisa Dankar, Fida K. Drechsler, Jörg Elliot, Mark Domingo-Ferrer, Josep Francis, Paul Kantarcioglu, Murat Kong, Linglong Malin, Bradley Muralidhar, Krishnamurty Myles, Puja Prasser, Fabian Raisaro, Jean Louis Yan, Chao El Emam, Khaled School of Epidemiology and Public Health University of Ottawa ON Canada CHEO Research Institute ON Canada Department of Nephrology and Medical Intensive Care Charité – Universitätsmedizin Berlin Berlin Germany Department for Statistical Methods Institute for Employment Research Nuernberg Germany Institute for Statistics Ludwig-Maximilians-Universität Munich Germany Joint Program in Survey Methodology University of Maryland United States The Cathie Marsh Institute Research School of Social Sciences University of Manchester Manchester United Kingdom Department of Computer Engineering and Mathematics Universitat Rovira i Virgili Catalonia Tarragona Spain Max Planck Institute for Software Systems Germany Department of Computer Science Virginia Tech United States Department of Mathematical and Statistical Sciences University of Alberta Alberta Canada Department of Biomedical Informatics Vanderbilt University Medical Center NashvilleTN United States Department of Biostatistics Vanderbilt University Medical Center NashvilleTN United States Department of Computer Science Vanderbilt University NashvilleTN United States Department of Marketing and Supply Chain Management University of Oklahoma Oklahoma United States Medicines and Healthcare products Regulatory Agency London United Kingdom Berlin Institute of Health at Charité Universitätsmedizin Berlin Medical Informatics Group Berlin Germany Biomedical Data Science Center University Hospital Lausanne Lausanne Switzerland

Synthetic data generation is one approach for sharing individual-level data. However, to meet legislative requirements, it is necessary to demonstrate that the individuals’ privacy is adequately protected. There is no consolidated standard for measuring privacy in synthetic data. Through an expert panel and consensus process, we developed a framework for evaluating privacy in synthetic data. Our findings indicate that current similarity metrics fail to measure identity disclosure, and their use is discouraged. For differentially private synthetic data, a privacy budget other than close to zero was not considered interpretable. There was consensus on the importance of membership and attribute disclosure, both of which involve inferring personal information about an individual without necessarily revealing their identity. The resultant framework provides precise recommendations for metrics that address these types of disclosures effectively. Our findings further present specific opportunities for future research that can help with widespread adoption of synthetic data. © 2025, CC BY.

关键词： Differential privacy

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Observation of multi-ten TeV to sub-PeV gamma rays from the HESS J1843-033 region with the Tibet air shower array 27

Observation of multi-ten TeV to sub-PeV gamma rays from the ...

引用

27th European Cosmic Ray Symposium, ECRS 2022

作者： Amenomori, M. Asano, S. Bao, Y.W. Bi, X.J. Chen, D. Chen, T.L. Chen, W.Y. Chen, Xu Chen, Y. Cirennima Cui, S.W. Danzengluobu Ding, L.K. Fang, J.H. Fang, K. Feng, C.F. Feng, Zhaoyang Feng, Z.Y. Gao, Qi Gomi, A. Gou, Q.B. Guo, Y.Q. Guo, Y.Y. Hayashi, Y. He, H.H. He, Z.T. Hibino, K. Hotta, N. Hu, Haibing Hu, H.B. Hu, K.Y. Huang, J. Jia, H.Y. Jiang, L. Jiang, P. Jin, H.B. Kasahara, K. Katayose, Y. Kato, C. Kato, S. Kawahara, I. Kawashima, T. Kawata, K. Kozai, M. Kurashige, D. Labaciren Le, G.M. Li, A.F. Li, H.J. Li, W.J. Li, Y. Lin, Y.H. Liu, B. Liu, C. Liu, J.S. Liu, L.Y. Liu, M.Y. Liu, W. Liu, X.L. Lou, Y.-Q. Lu, H. Meng, X.R. Meng, Y. Munakata, K. Nagaya, K. Nakamura, Y. Nakazawa, Y. Nanjo, H. Ning, C.C. Nishizawa, M. Noguchi, R. Ohnishi, M. Okukawa, S. Ozawa, S. Qian, L. Qian, X. Qian, X.L. Qu, X.B. Saito, T. Sakakibara, Y. Sakata, M. Sako, T. Sako, T.K. Sasaki, T. Shao, J. Shibata, M. Shiomi, A. Sugimoto, H. Takano, W. Takita, M. Tan, Y.H. Tateyama, N. Torii, S. Tsuchiya, H. Udo, S. Wang, H. Wang, Y.P. Wangdui Wu, H.R. Wu, Q. Xu, J.L. Xue, L. Yang, Z. Yao, Y.Q. Yin, J. Yokoe, Y. Yu, N.P. Yuan, A.F. Zhai, L.M. Zhang, C.P. Zhang, H.M. Zhang, J.L. Zhang, X. Zhang, X.Y. Zhang, Y. Zhang, Yi Zhang, Ying Zhao, S.P. Zhaxisangzhu Zhou, X.X. Zou, Y.H. Department of Physics Hirosaki University Hirosaki036-8561 Japan Department of Physics Shinshu University Matsumoto390-8621 Japan School of Astronomy and Space Science Nanjing University Nanjing210093 China Key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China Department of Mathematics and Physics Tibet University Lhasa850000 China Department of Physics Hebei Normal University Shijiazhuang050016 China University of Chinese Academy of Sciences Beijing100049 China Shandong University Qingdao266237 China Institute of Modern Physics SouthWest Jiaotong University Chengdu610031 China Faculty of Engineering Yokohama National University Yokohama240-8501 Japan Faculty of Engineering Kanagawa University Yokohama221-8686 Japan Faculty of Education Utsunomiya University Utsunomiya321-8505 Japan Faculty of Systems Engineering Shibaura Institute of Technology Omiya330-8570 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa277-8582 Japan Polar Environment Data Science Center Joint Support-Center for Data Science Research Research Organization of Information and Systems Tachikawa190-0014 Japan National Center for Space Weather China Meteorological Administration Beijing100081 China School of Information Science and Engineering Shandong Agriculture University Taian271018 China Department of Astronomy School of Physical Sciences University of Science and Technology of China Hefei230026 China Tsinghua University Beijing100084 China Joint Research Center for Astrophysics Tsinghua University Beijing100084 China Department of Astronomy Tsinghua University Beijing100084 China College of Industrial Technology Nihon University Narashino275-8575 Japan National Institute of Informatics Tokyo101-8430 Japan National Institute of Information and Communications Technology Tokyo18

The sky region around HESS J1843-033, a southern TeV gamma-ray source, is observed by the Tibet air shower array equipped with an underground muon detector array. The analysis makes use of the data taken from February 2014 to May 2017. A gamma-ray source TASG J1844-038 is detected above 25 TeV with a 6.2 σ level, and its position is statistically consistent with that of nearby gamma-ray sources including HESS J1843-033. The energy spectrum is measured for the first time between 25 and 130 TeV and is described with dN/dE = (9.70 ± 1.89) × 10−16(E/40 TeV)−3.26±0.30 TeV−1 cm−2 s−1. The spectrum smoothly connects to that of HESS J1843-033 in the lower energy range and is consistent with the flux of LHAASO J1843-0338 at 100 TeV, and the fit to the combined spectra of the TASG, H.E.S.S., and LHAASO sources implies the cutoff at 49.5 ± 9.0 TeV in the gamma-ray spectrum. The association of TASG J1844-038 with a nearby supernova remnant G28.6-0.1 and a gamma-ray pulsar J1844-0346 is discussed. © Copyright owned by the author(s).

关键词： Gamma rays

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Sentiment-Enhanced Triplet Region Detection Framework for aspect sentiment triplet extraction

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Neurocomputing 2025年 644卷

作者： Liu, Xiaoyong Chen, Jiahao Xu, Chunlin Du, Zhiguo Chen, Weiqi Li, Huihui School of Data Science and Engineering Guangdong Polytechnic Normal University Heyuan517583 China School of Computer Science Guangdong Polytechnic Normal University Guangzhou510665 China School of Mathematics and Informatics South China Agricultural University Guangzhou510642 China Institute of Guangdong Polytechnic Normal University in Heyuan Heyuan517583 China Jilin Engineering Normal University Changchun130052 China Guangzhou Key Laboratory for Digital Science and Technology Guangzhou Digital Technology Group Co. Ltd. Guangzhou510565 China

Aspect Sentiment Triplet Extraction (ASTE) is a crucial task in sentiment analysis that focuses on identifying aspect terms, corresponding opinion terms and the sentiments expressed, ultimately forming sentiment triplets. Recent tagging-based methods where triplets are represented by a two-dimensional matrix of word-pair relations, have achieved promising performance on ASTE. However, existing tagging-based methods usually treat multi-word aspect or opinion terms as a set of independent words and solely focus on the interactions between words, causing the model to potentially extract only parts of the aspect terms or opinion terms, thus producing incorrect triplets. To alleviate this limitation, we propose Sentiment-Enhanced Triplet Region Detection Framework (SE-TRDF) for ASTE. Instead of classifying the relationship between each word pair directly, SE-TRDF conducts ASTE by detecting a triplet region enclosed by aspect and opinion words firstly and then classifying the sentiment polarity of the detected region. With the goal of identifying the four vertices of the triplet region, SE-TRDF is able to obtain the correct aspect and opinion terms with multi-word. Moreover, to further enhance the capability of our SE-TRDF, a sentiment detection module (SDM) is devised which aims to identify the aspect and opinion terms within a sentence and helps to filter some wrong triplet regions detected. Extensive experimental results on four public benchmarks demonstrate the superiority of the proposed SE-TRDF compared with baselines. © 2025 Elsevier B.V.

关键词： Emotion Recognition

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TIBET ASgamma: Dawn of sub-PeV gamma-ray astronomy 11

TIBET ASgamma: Dawn of sub-PeV gamma-ray astronomy

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11th Neutrino Oscillation Workshop, NOW 2022

作者： Sako, T.K. Amenomori, M. Asano, S. Bao, Y.W. Bi, X.J. Chen, D. Chen, T.L. Chen, W.Y. Chen, Xu Chen, Y. Cirennima Cui, S.W. Danzengluobu Ding, L.K. Fang, J.H. Fang, K. Feng, C.F. Feng, Zhaoyang Feng, Z.Y. Gao, Qi Gomi, A. Gou, Q.B. Guo, Y.Q. Guo, Y.Y. Hayashi, Y. He, H.H. He, Z.T. Hibino, K. Hotta, N. Hu, Haibing Hu, H.B. Hu, K.Y. Huang, J. Jia, H.Y. Jiang, L. Jiang, P. Jin, H.B. Kasahara, K. Katayose, Y. Kato, C. Kato, S. Kawahara, I. Kawashima, T. Kawata, K. Kozai, M. Kurashige, D. Labaciren Le, G.M. Li, A.F. Li, H.J. Li, W.J. Li, Y. Lin, Y.H. Liu, B. Liu, C. Liu, J.S. Liu, L.Y. Liu, M.Y. Liu, W. Liu, X.L. Lou, Y.-Q. Lu, H. Meng, X.R. Meng, Y. Munakata, K. Nagaya, K. Nakamura, Y. Nakazawa, Y. Nanjo, H. Ning, C.C. Nishizawa, M. Noguchi, R. Ohnishi, M. Okukawa, S. Ozawa, S. Qian, L. Qian, X. Qian, X.L. Qu, X.B. Saito, T. Sakakibara, Y. Sakata, M. Sako, T. Sako, T.K. Sasaki, T. Shao, J. Shibata, M. Shiomi, A. Sugimoto, H. Takano, W. Takita, M. Tan, Y.H. Tateyama, N. Torii, S. Tsuchiya, H. Udo, S. Wang, H. Wang, Y.P. Wangdui Wu, H.R. Wu, Q. Xu, J.L. Xue, L. Yang, Z. Yao, Y.Q. Yin, J. Yokoe, Y. Yu, N.P. Yuan, A.F. Zhai, L.M. Zhang, C.P. Zhang, H.M. Zhang, J.L. Zhang, X. Zhang, X.Y. Zhang, Y. Zhang, Yi Zhang, Ying Zhao, S.P. Zhaxisangzhu Zhou, X.X. Zhou, Y.H. Department of Physics Hirosaki University Hirosaki036-8561 Japan Department of Physics Shinshu University Matsumoto390-8621 Japan School of Astronomy and Space Science Nanjing University Nanjing210093 China Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China National Astronomical Key Laboratory of Observatories Chinese Academy of Sciences Beijing100012 China Department of Mathematics and Physics Tibet University Lhasa850000 China Department of Physics Hebei Normal University Shijiazhuang050016 China University of Chinese Academy of Sciences Beijing100049 China Shandong University Qingdao266237 China Institute of Modern Physics SouthWest Jiaotong University Chengdu610031 China Faculty of Engineering Yokohama National University Yokohama240-8501 Japan Faculty of Engineering Kanagawa University Yokohama221-8686 Japan Faculty of Education Utsunomiya University Utsunomiya321-8505 Japan Faculty of Systems Engineering Shibaura Institute of Technology Omiya330-8570 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa277-8582 Japan Polar Environment Data Science Center Joint Support-Center for Data Science Research Research Organization of Information and Systems Tachikawa190-0014 Japan National Center for Space Weather China Meteorological Administration Beijing100081 China School of Information Science and Engineering Shandong Agriculture University Taian271018 China Department of Astronomy School of Physical Sciences University of Science and Technology of China Hefei230026 China Tsinghua University Beijing100084 China Joint Research Center for Astrophysics Tsinghua University Beijing100084 China Department of Astronomy Tsinghua University Beijing100084 China College of Industrial Technology Nihon University Narashino275-8576 Japan National Institute of Informatics Tokyo101-8430 Japan National Institute of Information and Communications Technology Tokyo18

The Tibet air shower (AS) array and underground water-Cherenkov-type muon detector (MD) array have been successfully operating since 2014 at an altitude of 4, 300 m in Tibet, China. This hybrid experiment is useful not only for the gamma-ray observation but also for the energy spectrum measurement in the knee energy region of the cosmic-ray energy spectrum. The energy and arrival directions of air showers are determined by the AS array, while the number of muons contained in air showers is counted with the MD array. In terms of gamma-ray observation, the MD array enables us to suppress more than 99.9% of background cosmic rays against gamma-ray signals above 100 TeV. Our gamma-ray and cosmic-ray data from the AS+MD array is well reproduced by our detailed air shower simulations. Here we report on the latest results from the Tibet ASγ experiment, especially focusing on the world’s first detection of sub-PeV gamma rays from the Crab Nebula and the world’s first detection of sub-PeV diffuse gamma-ray emissions from the Galactic plane. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Cosmic rays

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Latent Regression and Ordination Risk of Infectious Disease and Climate

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Procedia Computer science 2021年 179卷 25-32页

作者： Rezzy Eko Caraka Rung Ching Chen Youngjo Lee Prana Ugiana Gio Arif Budiarto Bens Pardamean College of Informatics Chaoyang University of Technology 168 Jifong East Road Wufong Dist. Taichung City 41349 Taiwan (R.O.C.). Department of Statistics College of Natural Science Seoul National University Gwanak-gu Seoul 08826 Korea Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Department of Mathematics Universitas Sumatera Utara Medan 20222 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Indonesia.

Global warming arising from climate change can increase the spread of deadly diseases. Effort is needed to develop a set of policies for the government to stem or reduce health risks from global warming. The purpose of this paper is to examine more detail and comprehensively about the relationship among climate and event disease count in Taiwan using the partial least square latent regression model. The results obtained that of the 17 types of diseases in Taiwan, that has the most significant loading factor is Amoebiasis, Malaria and Chikungunya. At the same time, climate variables that have the biggest most significant factor are Number day with max temp more than 30, Number day Temp more than 25, and Rainfall PH. Cronbach’s Alpha infectious disease 0.9696 and climate 0.2813. At the same time, the value of Dillon Goldstein’s rho infectious disease 0.974 and climate 0.6404, respectively.

关键词： Disease Counts Climate Latent PLS Regression

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An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs

arXiv

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arXiv 2021年

作者： Yamakawa, Yuya Ikegami, Tetsuya Fukuda, Ellen H. Yamashita, Nobuo Department of Applied Mathematics and Physics Graduate School of Informatics Kyoto University Yoshidahommachi Sakyo-ku Kyoto-shi Kyoto606-8501 Japan Data and Science Solutions Group Technology Group Yahoo Japan Corporation Kioi Tower Tokyo Garden Terrace Kioicho 1-3 Kioicho Chiyoda-ku Tokyo102-8282 Japan

In this paper, we propose a new nonlinear optimization model to solve semidefinite optimization problems (SDPs), providing some properties related to local optimal solutions. The proposed model is based on another nonlinear optimization model given by Burer and Monteiro (2003), but it has several nice properties not seen in the existing one. Firstly, the decision variable of the proposed model is a triangular low-rank matrix, and hence the dimension of its decision variable space is smaller. Secondly, the existence of a strict local optimum of the proposed model is guaranteed under some conditions, whereas the existing model has no strict local optimum. In other words, it is difficult to construct solution methods equipped with fast convergence using the existing model. Some numerical results are also presented to examine the efficiency of the proposed model. Copyright © 2021, The Authors. All rights reserved.

关键词： Factorization

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FIRST-ORDER ALGORITHMS FOR A CLASS OF FRACTIONAL OPTIMIZATION PROBLEMS ∗

arXiv

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arXiv 2020年

作者： Zhang, Na Li, Qia Department of Applied Mathematics College of Mathematics and Informatics South China Agricultural University Guangzhou510642 China Guangdong Province Key Laboratory of Computational Science School of Data and Computer Sciences Sun Yat-sen University Guangzhou510275 China

We consider in this paper a class of single-ratio fractional minimization problems, in which the numerator part of the objective is the sum of a nonsmooth nonconvex function and a smooth nonconvex function while the denominator part is a nonsmooth convex function. Besides, the three functions involved in the objective are all nonnegative. To the best of our knowledge, this class of problems has seldom been carefully investigated in the literature and existing methods in general fractional optimization are not suitable for solving this problem. In this work, we first derive its first-order necessary optimality condition, by using the first-order operators of the three functions involved. Then we develop first-order algorithms, namely, the proximity-gradient-subgradient algorithm (PGSA), PGSA with monotone line search (PGSA_ML) and PGSA with nonmonotone line search (PGSA_NL). It is shown that any accumulation point of the sequence generated by them is a critical point of the problem under mild assumptions. Moreover, we establish global convergence of the sequence generated by PGSA or PGSA_ML and analyze its convergence rate, by further assuming the local Lipschitz continuity of the nonsmooth function in the numerator part, the smoothness of the denominator part and the Kurdyka-Lojasiewicz property of the objective. The proposed algorithms are applied to the sparse generalized eigenvalue problem associated with a pair of symmetric positive semidefinite matrices and the corresponding convergence results are obtained according to their general convergence theorems. We perform some preliminary numerical experiments to demonstrate the efficiency of the proposed *** Codes 90C26, 90C30, 65K05 Copyright © 2020, The Authors. All rights reserved.

关键词： Optimization

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A TSP-over-LEACH Protocol for Energy-Efficient Wireless Sensor Networks

Journal of Network Intelligence

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Journal of Network Intelligence 2021年第4期6卷 835-846页

作者： Hsieh, Chaur-Heh Lin, Jianping Yu, Chih-Min Hung, Mao-Hsiung Huang, Fenghua Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No.33 Xuefunan Road University Town Minhou Fuzhou350118 China College of Artificial Intelligence Yango University Fuzhou350015 China School of Computer Science and Mathematics Fujian University of Technology Fuzhou350118 China College of Computing and Informatics University of North Carolina at Charlotte CharlotteNC28223 United States

Wireless sensor networks (WSNs) play as a way that associates the cy-bernetic digital world to the actual world. The clustering concept in WSNs can effectively prevent the unnecessary energy consumption in delivering packets to the sink by dividing the network into several groups or clusters. In LEACH protocol, cluster heads (CHs) among different clusters can aggregate sensed data and directly dispatch packets via single-hop transmission to the data sink. Hence, a new challenging issue is generated to reduce the energy consumption for all CHs transmissions since the multi-hop transmission among CHs can effectively reduce the total transmission distance than the direct transmission of CHs in the conventional LEACH. In this paper, a travelling sales-man protocol (TSP) over LEACH (TSP-over-LEACH) is proposed based on the existing LEACH to minimize the total transmission distance among CHs and reduces the total power consumption of all CHs. The operation of TSP-over LEACH is divided into two stages. In the first stage, several CHs are determined randomly as the LEACH proto-col. In the second stage, a shortest routing path is established for packet transmission along all CHs and the data sink to reduce the total transmission distance. As a result, the TSP-over-LEACH can calculate the minimum hop and distance to achieve the minimiza-tion of total energy consumption of all CHs. Simulation results show that the proposed TSP-over-LEACH can effectively reduce total energy consumption as the number of CHs increases especially when the sink node is far away and outside the operation area. Keywords:. © 2021, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Energy utilization

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