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arXiv 2024年

作者： Tanaka, Takumi S. Silverman, John D. Shimasaku, Kazuhiro Arita, Junya Akins, Hollis B. Inayoshi, Kohei Ding, Xuheng Onoue, Masafusa Liu, Zhaoxuan Casey, Caitlin M. Lambrides, Erini Kokorev, Vasily Jin, Shuowen Faisst, Andreas L. Drakos, Nicole Shen, Yue Li, Junyao Zhuang, Mingyang Fei, Qinyue Ito, Kei Ren, Wenke Matsui, Suin Ando, Makoto Hatano, Shun Fujii, Michiko S. Kartaltepe, Jeyhan S. Koekemoer, Anton M. Liu, Daizhong McCracken, Henry Joy Rhodes, Jason Robertson, Brant E. Franco, Maximilien Andika, Irham T. Cloonan, Aidan P. Fan, Xiaohui Gozaliasl, Ghassem Harish, Santosh Hayward, Christopher C. Huertas-Company, Marc Kakkad, Darshan Kinugawa, Tomoya Roy, Namrata Shuntov, Marko Talia, Margherita Toft, Sune Vijayan, Aswin P. Zhang, Yiyang The University of Tokyo Institutes for Advanced Study The University of Tokyo Kashiwa Chiba277-8583 Japan Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan UTIAS The University of Tokyo Kashiwa Chiba277-8583 Japan Center for Astrophysical Sciences Department of Physics and Astronomy Johns Hopkins University BaltimoreMD21218 United States Research Center for the Early Universe Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan Department of Astronomy The University of Texas at Austin 2515 Speedway Boulevard Stop C1400 AustinTX78712 United States Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China School of Physics and Technology Wuhan University Wuhan430072 China Denmark NASA-Goddard Space Flight Center Code 662 GreenbeltMD20771 United States Kapteyn Astronomical Institute University of Groningen Groningen9700 AV Netherlands DTU Space Technical University of Denmark Elektrovej Building 328 Kgs. Lyngby2800 Denmark Caltech/IPAC 1200 E. California Blvd PasadenaCA91125 United States Department of Physics and Astronomy University of Hawaii Hilo 200 W Kawili St. HiloHI96720 United States Department of Astronomy University of Illinois at Urbana-Champaign UrbanaIL61801 United States National Center for Supercomputing Applications University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Astronomy School of Physics Peking University Beijing100871 China CAS Key Laboratory for Research in Galaxies and Cosmology Department of Astronomy University of Science and Technology of China Anhui Hefei230026 China School of Astronomy and Space Science University of Science and Technology of China Hefei230026 China National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Osawa 2-21-1 Mitaka Tokyo181-8588 Japan Laboratory for Multiwave

"Little Red Dots" (LRDs) are an abundant high-redshift population newly discovered by the James Webb Space Telescope (JWST). They are characterized by a red color in the rest-frame optical band, compact morphology, and broad Balmer emission lines (FWHM >∼ 1000 km s−1) that suggest an AGN nature. Using a method of pixel-by-pixel color selection and relaxing the compactness criteria, we identify three of the first dual LRD candidates in the COSMOS-Web survey with projected separations of 0.′′2-0.′′4 (1-2 pkpc at their photometric redshifts). A comparison between existing LRD samples and mock data reveals that the projected separations of these dual LRD candidates are unlikely to result from chance projections of objects at different redshifts. In one case (CW-B5-15958), the dual LRD includes two bright sources (mF444W = 24.3 and 24.8) with characteristic V-shape spectral energy distribution (SEDs) and photometric redshifts consistent with each other. We find that CW-B5-15958 has a faint off-centered component and a companion galaxy. In the other two dual systems, the brighter LRD exhibits a V-shape SED, while the fainter LRD (mF444W>∼ 26) is undetected in both F115W and F150W. These discoveries suggest that the angular auto-correlation function (ACF) of LRDs exhibits a significant excess (∼ 3 × 102 times) on sub-arcsec (kilo-parsec) separations compared to the extrapolation of a power-law ACF of JWST-found AGNs measured over 10′′-100′′. Follow-up spectroscopic confirmation of their redshifts and the construction of a larger sample are essential to advance our understanding of the evolution of supermassive black holes and the importance of mergers in the early universe. © 2024, CC BY.

关键词： Pixels

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On the properties of bipolar anti fuzzy graph magic labeling

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AIP Conference Proceedings 2019年第1期2194卷

作者： Ilman Firmansa Toto Nusantara Desi Rahmadani Abdullah Bin Gani Heri Susanto Purwanto 1Graduate Student of Department of Mathematics FMIPA Universitas Negeri Malang Indonesia 2Department of Mathematics FMIPA Universitas Negeri Malang Indonesia 3Department of Computer System & Technology Faculty of Computer Science &Information Technology University of Malaya Malaysia

This article was considering to bipolar anti fuzzy graph magic labeling. Bipolar anti fuzzy graph be seen as new concept, therefore to find the properties, we adapted from the previous study of bipolar fuzzy graph. In this article, we introduced bipolar anti fuzzy graphs path, star, and cycle of our investigation object. The resulted study shown that, for every natural number n, there exists bipolar anti fuzzy graph magic labeling for bipolar anti fuzzy graphs path (Pn) and star (Sn) graph. For n odd and n ≥3, there bipolar anti fuzzy graph magic labeling for cycle (Cn).

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Different types of product of anti fuzzy graph

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AIP Conference Proceedings 2019年第1期2194卷

作者： Yuliana Trisanti Toto Nusantara Desi Rahmadani Abdullah Bin Gani Hery Susanto 1Graduate Student of Department of Mathematics FMIPA Universitas Negeri Malang Indonesia 2Department of Mathematics FMIPA Universitas Negeri Malang Indonesia 3Department of Computer System & Technology Faculty of Computer Science &Information Technology University of Malaya Malaysia

In this article, we consider to obtain new anti fuzzy graph from given anti fuzzy graphs. Product of anti fuzzy graphs is an operation on anti fuzzy graphs that produce new anti fuzzy graph. We consider tensor, normal, modular anti fuzzy graphs products, which are adapted from fuzzy graphs products. In general, product of any two anti fuzzy graphs is an anti fuzzy graph. Product of any two strong anti fuzzy graphs is an anti fuzzy graph strong. Normal product of two anti fuzzy graph complete is a complete anti fuzzy graph. Other than that, different of anti fuzzy products are also discussed.

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On the properties of anti fuzzy graph magic labeling

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AIP Conference Proceedings 2019年第1期2194卷

作者： Adika Setia Brata Toto Nusantara Desi Rahmadani Abdullah Bin Gani Vita Kusumasari 1Graduate Student of Department of Mathematics FMIPA Universitas Negeri Malang Indonesia 2Department of Mathematics FMIPA Universitas Negeri Malang Indonesia 3Department of Computer System & Technology Faculty of Computer Science & Information Technology University of Malaya Malaysia

Graph labeling is one of the famous topics in the study of fuzzy graph. This article was considering to anti fuzzy graph magic labeling. As a new concept in anti fuzzy graph, we adapted from the previous study of fuzzy graph about the related concept. The object of study is anti fuzzy graph path, anti fuzzy graph star, and anti fuzzy graph cycle. The resulted study shown that, for every natural number n, there exists magic labeling for anti fuzzy graph path (Pn) and anti fuzzy graph star (Sn). For n odd and n ≥ 3, there exists magic labeling for anti fuzzy graph cycle (Cn).

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Modelling the statistical dependence of rainfall variables using copula: A case study of Terengganu state

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IOP Conference Series: Materials Science and Engineering 2020年第1期767卷

作者： M F Fauzi U F Abdul Rauf R Khan N A A Jamaludin Department of Defence Science Faculty of Technology and Defence Science National Defence University of Malaysia 57000 Sg. Besi Kuala Lumpur Malaysia Department of Mathematics Centre for Defence Foundation Studies National Defence University of Malaysia 57000 Sg. Besi Kuala Lumpur Malaysia Sypaq System Pty Ltd 441 St Kilda Rd Melbourne Victoria 3004 Australia Department of Computer Science Faculty of Technology and Defence Science National Defence University of Malaysia 57000 Sg. Besi Kuala Lumpur Malaysia

Extreme rainfall can have severe negative impacts possibly resulting in loss of life and property, hence the need for means of predicting the occurrence of extreme rainfall. One method that addresses extreme phenomena is the extreme value theory. In bivariate data, extreme value analysis can be approximated by the distribution of maximum likelihood estimation. This paper discusses the role of the copula in modeling the structure of dependencies between two rainfall variables, namely duration, and severity. Goodness-of-fit approaches are used to resolve whether or not to reject a parametric copula which then determines the best copula to utilise for the data set. In this paper the Akaike information criterion (AIC) is investigated for its ability to choose an appropriate copula model from Archimedean copula models. The analysis shows that the Frank copula is the best model to explain the dependency structure of the two variables discussed.

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Towards Personalization to support Learners’ Motivation on Gamified MOOC Platform

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Journal of Physics: Conference Series 2019年第1期1201卷 012031-012031页

作者： Saputro, Rujianto Eko Salam, Sazilah Mohd Hafiz Zakaria Abednego Dwi Septiadi Department of Computer Science STMIK AMIKOM Purwokerto Purwokerto Indonesia Faculty of Information and Communication Technology Universiti TeknikalMalaysia Melaka Melaka Malaysia Faculty of Information and Communication Technology Universiti TeknikalMalaysia Melaka Melaka Malaysia Department of Information System STMIK AMIKOM Purwokerto Purwokerto Indonesia

Online learning expands along with the development of information technology. One model of online education that widely used because it is open and massive today is the Massive Open Online Courses (MOOCs). However, the problems that arise at the MOOC are related to the high drop out rate caused by the lack of motivation of users to complete the course. Various approaches are taken to deal with this, one of which is by utilising elements of the game through gamification and personalisation to understand the factors needed by learners in the learning environment. This research proposes a personalised design through self-determination. The results of the study have implemented on a new Gamified MOOC platform that pays attention to learner personalisation regarding competency, autonomy and relatedness.

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GAN2C: Information Completion GAN with Dual Consistency Constraints

GAN2C: Information Completion GAN with Dual Consistency Cons...

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International Joint Conference on Neural Networks (IJCNN)

作者： Lujuan Zhang Jun Li Tao Huang Zhenyuan Ma Zhiyong Lin Mukesh Prasad School of Mathematics and System Sciences Guangdong Polytechnic Normal University Guangzhou China School of Software and Center for Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia School of Computer Science Guangdong Polytechnic Normal University Guangzhou China

This paper proposes an information completion technique, GAN2C, by imposing dual consistency constraints (2C) to a closed loop encoder-decoder architecture based on the generative adversarial nets (GAN). When adopting deep neural networks as function approximators, GAN2C enables highly effective multi-modality image conversion with sparse observation in the target modes. For empirical demonstration and model evaluation, we show that trained deep neural networks in GAN2C can infer colors for grayscale images, as well as estimate rich 3D information of a scene by densely predicting the depths. The results of the experiments show that in both tasks GAN2C as a generic framework has been comparable to or advanced the state-of-the-art performance which are achieved by highly specialized systems. Code is available at https://***/AdalinZhang/GAN2C.

关键词： Image color analysis Gallium nitride Task analysis Neural networks Gray-scale Generative adversarial networks Probabilistic logic

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The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels (vol 400, pg 1619, 2022)

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LANCET 2022年第10365期400卷 1766-1766页

作者： Romanello, M. Di Napoli, C. Drummond, P. Institute for Global Health University College London London UK School of Agriculture Policy and Development University of Reading Reading UK Institute for Sustainable Resources University College London London UK Department of Global Health Centre for Health and the Global Environment University of Washington Seattle WA USA UCL Energy Institute University College London London UK Department of Health Sciences University of York York UK Department of Meteorology University of Reading Reading UK Institute for Risk and Disaster Reduction University College London London UK School of Earth and Environment University of Leeds Leeds UK Centre on Climate Change and Planetary Health London School of Hygiene & Tropical Medicine London UK School of Population Health University of Melbourne Melbourne VIC Australia Department of Earth System Science Tsinghua University Beijing China Mercator Research Institute on Global Commons and Climate Change Berlin Germany Department of Environment Climate Change and Health World Health Organization Geneva Switzerland Institute of Environmental Sciences University of Geneva Geneva Switzerland Cardiovascular Epidemiology Unit Department of Public Health & Primary Care University of Cambridge Cambridge UK School of Government University of Birmingham Birmingham UK Economic Analysis of Climate Impacts and Policy Division Centro Euro-Mediterraneo sui Cambiamenti Climatici Venice Italy Institute for Environmental Design and Engineering University College London London UK Natural Resources Institute University of Greenwich London UK Department of Environmental Health Sciences and Yale Center on Climate Change and Health Yale University New Haven CT USA Department of Civil and Environmental Engineering Northeastern University Boston MA USA Department of Fish and Wildlife Conservation Virginia Polytechnic Institute and State University Blacksburg VA USA Department of Geography University College London London UK NU

With advancements in the science of detection and attribution studies, the influence of climate change over many events has now been quantified. Because of the rapidly increasing temperatures, vulnerable populations (adults older than 65 years, and children younger than one year of age) were exposed to 3·7 billion more heatwave days in 2021 than annually in 1986–2005 (indicator 1.1.2), and heat-related deaths increased by 68% between 2000–04 and 2017–21 (indicator 1.1.5), a death toll that was significantly exacerbated by the confluence of the COVID-19 pandemic. Despite the local cooling and overall health benefits of urban greenspaces, only 277 (27%) of 1038 global urban centres were at least moderately green in 2021 (indicator 2.2.3), and the number of households with air conditioning increased by 66% from 2000 to 2020, a maladaptive response that worsens the energy crisis and further increases urban heat, air pollution, and greenhouse gas emissions. [...]millions of people do not have access to the energy needed to keep their homes at healthy temperatures, preserve food and medication, and meet the seventh Sustainable Development Goal (to ensure access to affordable, reliable, sustainable, and modern energy for all). Aggravating this situation even further, governments continue to incentivise fossil fuel production and consumption: 69 (80%) of 86 countries reviewed had net-negative carbon prices (ie, provided a net subsidy to fossil fuels) for a net total of US$400 billion

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Generation of four-wave mixing with highly sharp idlers using 2 mm home-made side-polished fiber deposited by ZnO nanorod

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Laser Physics 2018年第7期28卷 076205-076205页

作者： Safaei, R. Amiri, Iraj S. Sorger, Volker J. Azzuhri, S.R.B. Rezaei, M. Ahmad, H. Yupapin, P. Photonics Research Centre University of Malaya Kuala Lumpur50603 Malaysia Computational Optics Research Group Advanced Institute of Materials Science Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Applied Sciences Ton Duc Thang University Ho Chi Minh City Viet Nam Department of Electrical and Computer Engineering George Washington University WashingtonDC20052 United States Faculty of Computer Science and Information Technology Department of Computer System and Technology University of Malaya Kuala Lumpur Malaysia

A side-polished fiber with embedded zinc oxide nanorods (ZnO-NRs) is proposed, fabricated, and tested to generate four-wave-mixing (FWM). The side-polished fiber is manufactured by polishing a conventional single mode fiber to completely remove 2 mm of its cladding and its core partially, after which the fiber is simply immersed into a solution consisting of ZnO-NRs and allowing it to dry. A pump and a signal wavelength of 1550 and 1551 nm are injected into the fiber and generate idlers at 1549 and 1552 nm which agree well with theoretical values. Our experimental results show that the optimum FWM range is determined to be a 6 nm shifted away from the pump wavelength and occurs in the pump and wavelength spacing as narrow as 0.1 nm. The proposed system allows for the easy integration of optically active materials into a fiber. © 2018 Astro Ltd.

关键词： Zinc oxide

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Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer

Utilizing Information from Task-Independent Aspects via GAN-...

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International Joint Conference on Neural Networks

作者： Lunkai Fu Jun Li Langxiong Zhou Zhenyuan Ma Shaopeng Liu Zhiyong Lin Mukesh Prasad School of Computer Science Guangdong Polytechnic Normal University Guangzhou China School of Software and Centre for Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia School of Mathematics and System Sciences Guangdong Polytechnic Normal University Guangzhou China

Observed data often have multiple labels with respect to different aspects. For example, a picture can have one label specifying the contents in terms of the object category such as aeroplane, building, cat, etc. and in the meanwhile have another label describing the image style such as photo-realistic or artistic. The central idea of this work is that any annotation of the data contains precious knowledge and is not to be foregone: an analytic task focusing on one aspect of the data can benefit from the knowledge transferred from the other aspects. We propose a passive knowledge transfer scheme for deep neural network training based on the generative adversarial nets (GANs). The adversarial training scheme encourages the nets to encode data into representations that are both discriminative for the target aspect and invariant with respect to the irrelevant aspects. We show that the scheme mixes the conditional distributions of the encoded data on the irrelevant aspects, by the theory on the link between the GAN framework and the Wasserstein metric in distribution spaces. Moreover, we empirically verified the method by i) classifying images despite influence by geometric transform and ii) recognizing the movements (geometric transform) regardless the image contents.

关键词： Task analysis Neural networks Knowledge transfer Gallium nitride Generators Training Measurement

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