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15th IAPR International Conference on Document Analysis and Recognition, ICDAR 2019

作者： Nag, Sauradip Ramachandra, Raghavendra Shivakumara, Palaiahnakote Pal, Umapada Lu, Tong Kankanhalli, Mohan Department of Computer Science & Engineering Kalyani Government Engineering College Kalyani India Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Norway Faculty of Computer System and Information Technology University of Malaya Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University China Department of Computer Science School of Computing National University of Singapore Singapore Singapore

ISBN: (纸本)9781728128610

The primary challenge in tracing the participants in sports and marathon video or images is to detect and localize the jersey/Bib number that may present in different regions of their outfit captured in cluttered environment conditions. In this work, we proposed a new framework based on detecting the human body parts such that both Jersey Bib number and text is localized reliably. To achieve this, the proposed method first detects and localize the human in a given image using Single Shot Multibox Detector (SSD). In the next step, different human body parts namely, Torso, Left Thigh, Right Thigh, that generally contain a Bib number or text region is automatically extracted. These detected individual parts are processed individually to detect the Jersey Bib number/text using a deep CNN network based on the 2-channel architecture based on the novel adaptive weighting loss function. Finally, the detected text is cropped out and fed to a CNN-RNN based deep model abbreviated as CRNN for recognizing jersey/Bib/text. Extensive experiments are carried out on the four different datasets including both bench-marking dataset and a new dataset. The performance of the proposed method is compared with the state-of-the-art methods on all four datasets that indicates the improved performance of the proposed method on all four datasets. © 2019 IEEE.

关键词： Sports

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Lattice investigations of the chimera baryon spectrum in the Sp(4) gauge theory

arXiv

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arXiv 2023年

作者： Bennett, Ed Hong, Deog Ki Hsiao, Ho Lee, Jong-Wan Lin, C.-J. David Lucini, Biagio Piai, Maurizio Vadacchino, Davide Swansea Academy of Advanced Computing Swansea University Fabian Way Wales SwanseaSA1 8EN United Kingdom Department of Physics Pusan National University Busan46241 Korea Republic of Extreme Physics Institute Pusan National University Busan46241 Korea Republic of Institute of Physics National Yang Ming Chiao Tung University 1001 Ta-Hsueh Road Hsinchu30010 Taiwan Daejeon34126 Korea Republic of Center for High Energy Physics Chung-Yuan Christian University Chung-Li32023 Taiwan Centre for Theoretical and Computational Physics National Yang Ming Chiao Tung University 1001 Ta-Hsueh Road Hsinchu30010 Taiwan Department of Mathematics Faculty of Science and Engineering Swansea University Fabian Way Wales SwanseaSA1 8EN United Kingdom Department of Physics Faculty of Science and Engineering Swansea University Singleton Park Wales SwanseaSA2 8PP United Kingdom Centre for Mathematical Sciences University of Plymouth PlymouthPL4 8AA United Kingdom

We report the results of lattice numerical studies of the Sp(4) gauge theory coupled to fermions (hyperquarks) transforming in the fundamental and two-index antisymmetric representations of the gauge group. This strongly-coupled theory is the minimal candidate for the ultraviolet completion of composite Higgs models that facilitate the mechanism of partial compositeness for generating the top-quark mass. We measure the spectrum of the low-lying, half-integer spin, bound states composed of two fundamental and one antisymmetric hyperquarks, dubbed chimera baryons, in the quenched approximation. In this first systematic, non-perturbative study, we focus on the three lightest parity-even chimera-baryon states, in analogy with QCD, denoted as ΛCB, ΣCB (both with spin 1/2), and Σ∗CB(with spin 3/2). The spin-1/2 such states are candidates of the top partners. The extrapolation of our results to the continuum and massless-hyperquark limit is performed using formulae inspired by QCD heavy-baryon Wilson chiral perturbation theory. Within the range of hyperquark masses in our simulations, we find that ΣCB is not heavier than ΛCB. © 2023, CC BY.

关键词： Perturbation techniques

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Establish Connection Between Remote Areas and City to Improve Healthcare Services

Establish Connection Between Remote Areas and City to Improv...

引用

International Conference on Green and Human Information Technology (ICGHIT)

作者： Mohd Ameerul Iman Mohd Ariff Yi Lung Then Fei Siang Tay Faculty of Engineering Computing & Science Swinburne University of Technology Sarawak Campus Kuching Sarawak Malaysia

LoRa is a proprietary technology developed by Cycleo SAS and it was acquired by Semtech in 2012. LoRa utilizes the license-free ISM band and by leveraging on LoRa's low power and long-distance transmission platform, it connects healthcare personnel in remote areas with medical specialist in urban areas in real time. A medical personal or a traditional midwife can consult medical specialist in the city regarding on a specific symptom or disease. We developed a device that is capable to send out request for emergency service, an e-stock management system and there is a medical symptom database built into it. The device is comprised of 2 Raspberry Pi model B, 7-inch touch screen and 2 Dragino LoRa/GPS shields operating at 915Mhz. A Graphical User Interface (GUI) was designed as a platform to connect the two users. We also evaluated the feasibility and practicality of this long-range transmission platform.

关键词： Receivers Transmitters Graphical user interfaces Protocols Bandwidth Testing Medical services

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Updated analysis of the brightest UHE Gamma-ray Source LHAASO J1825-1326 38

Updated analysis of the brightest UHE Gamma-ray Source LHAAS...

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38th International Cosmic Ray Conference, ICRC 2023

作者： You, Xiaohao Hu, Shicong Xi, Shaoqiang Cao, Zhen Aharonian, F. An, Q. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, J.T. Cao, Q. Cao, W.Y. Cao, Z. Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu della Volpe, D. Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, X.T. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, J.Y. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Z.C. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Ke, T. Kuleshov, D. Levochkin, K. Li, B.B. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, Jiang Li, Jie Li, K. Li, W.L. Li, W.L. Li, X.R. Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, J.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Lu, R. Luo, Q. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Min, Z. Mitthumsiri, W. Mu, H.J. Nan, Y.C. Neronov, A. Ou, Z.W. Pang, B.Y. Pattarakijwanich, P. Pei, Z.Y. Qi, M.Y. Qi, Y.Q. Qiao, B.Q. Qin, J.J. Ruffolo, D. Sáiz, A. Semikoz, D. Shao, C.Y. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, Q.N. Institute of High Energy Physics 19B Yuquan Road Shijingshan District Beijing China Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China Tianfu Cosmic Ray Research Center 1500 Kezhi Road Tianfu District Sichuan Chengdu610000 China Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Anhui Hefei230026 China School of Physical Science and Technology School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Hebei Normal University Hebei Shijiazhuang050024 China Key Laboratory of Dark Matter and Space Astronomy Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Key Laboratory of Cosmic Rays [Tibet University Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Sun Yat-sen University 519000 Zhuhai Guangdong Guangzhou510275 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Departement de Physique Nucléaire et Corpusculaire Faculté de Sciences Université de Genéve

Searching for ultra-high energy (PeV) cosmic ray accelerating source is the core problem in the study of cosmic ray origin. One of the most direct methods is to look for the ultra-high energy gamma-ray radiation generated by the interaction between cosmic rays and interstellar gas near the accelerator. Twelve ultra-high energy gamma ray sources have been observed on the galactic disk by the Large High Altitude Air Shower Observatory (LHAASO). Here, we report the result for LHAASO J1825-1326 region using the Water Cherencov detector array (WCDA) and kilometer array (KM2A) data. The γ-ray emission above 1 TeV observed by LHAASO from the region of LHAASO J1825-1326 is well described by four components including galactic diffuse emission, 1LHAASO J1825-1418 and 1LHAASO J1825-1256u, the likely counterparts to known γ-ray sources, HAWC J1825-138 and HAWC J1826-128, respectively, and LHAASO J1825-1256u in the middle. At present, the origin and radiation mechanism of 1LHAASO J1825-1337u can not be fully confirmed. While CRs accelerated to energies of several PeV colliding with the ambient gas likely produce the observed radiation. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Gamma rays

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Unified description of cuprate superconductors using a four-band d−p model

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Physical Review Research 2021年第3期3卷 033157-033157页

作者： Hiroshi Watanabe Tomonori Shirakawa Kazuhiro Seki Hirofumi Sakakibara Takao Kotani Hiroaki Ikeda Seiji Yunoki Research Organization of Science and Technology Ritsumeikan University Shiga 525-8577 Japan Computational Condensed Matter Physics Laboratory RIKEN Cluster for Pioneering Research (CPR) Saitama 351-0198 Japan Computational Materials Science Research Team RIKEN Center for Computational Science (R-CCS) Hyogo 650-0047 Japan Quantum Computational Science Research Team RIKEN Center for Quantum Computing (RQC) Saitama 351-0198 Japan Computational Quantum Matter Research Team RIKEN Center for Emergent Matter Science (CEMS) Saitama 351-0198 Japan Advanced Mechanical and Electronic System Research Center (AMES) Faculty of Engineering Tottori University Tottori 680-8552 Japan Center of Spintronics Research Network (CSRN) Graduate School of Engineering Science Osaka University Osaka 560-8531 Japan Department of Physics Ritsumeikan University Shiga 525-8577 Japan

In the 35 years since the discovery of cuprate superconductors, we have not yet reached a unified understanding of their properties, including their material dependence of the superconducting transition temperature Tc. The preceding theoretical and experimental studies have provided an overall picture of the phase diagram, and some important parameters for the Tc, such as the contribution of the Cu dz2 orbital to the Fermi surface and the site-energy difference Δdp between the Cu dx2−y2 and O p orbitals. However, they are somewhat empirical and limited in scope, always including exceptions, and do not provide a comprehensive view of the series of cuprates. Here we propose a four-band d−p model as a minimal model to study material dependence in cuprates. Using the variational Monte Carlo method, we theoretically investigate the phase diagram for the La2CuO4 and HgBa2CuO4 systems and the correlation between the key parameters and the superconductivity. Our results comprehensively account for the empirical correlation between Tc and model parameters, and thus can provide a guideline for new material design. We also show that the effect of the nearest-neighbor d−d Coulomb interaction Vdd is actually quite important for the stability of superconductivity and phase competition.

关键词： Pairing mechanisms Superconductivity High-temperature superconductors Mott insulators Strongly correlated systems Two-dimensional electron system Monte Carlo methods

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ECM Remodeling and an Abrupt, Stochastic Transition to Arrest Determine Tissue Growth Kinetics

SSRN

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SSRN 2021年

作者： Ainslie, Anna P. Davis, John Robert Williamson, John J. Ferreira, Ana Torres-Sánchez, Alejandro Hoppe, Andreas Mangione, Federica Smith, Matthew B. Martin-Blanco, Enrique Salbreux, Guillaume Tapon, Nicolas Apoptosis and Proliferation Control Laboratory Theoretical Physics of Biology Laboratory Francis Crick Institute 1 Midland Road LondonNW1 1AT United Kingdom Faculty of Science Engineering and Computing Kingston University Kingston-upon-Thames United Kingdom Francis Crick Institute University of Geneva Quai Ernest Ansermet 30 Genève1205 Switzerland

During development, multicellular organisms undergo stereotypical patterns of tissue growth in space and time, but how this is orchestrated remains unclear. Drosophila histoblast nests are small clusters of progenitor epithelial cells that undergo extensive growth to give rise to the abdominal epidermis and are amenable to live-imaging. Our quantitative analysis of the temporal dynamics of abdomen growth reveals that histoblasts display oscillatory cell division rates and that growth termination occurs through the rapid emergence of arrested cells rather than a gradual increase in cell cycle time. By examining tissue mechanics throughout histoblast expansion, we uncover an increase in tissue stress together with a decrease in extracellular matrix resistance as the histoblasts expand. The decrease in resistance is driven by timely extracellular matrix remodeling, which is necessary to trigger tissue expansion. Thus, changes in the tissue microenvironment, and a rapid cell cycle exit, control the formation of the adult Drosophila abdomen. © 2021, The Authors. All rights reserved.

关键词： Expansion

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Missing rainfall data estimation using artificial neural network and nearest neighbor imputation 18

Missing rainfall data estimation using artificial neural net...

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18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2019

作者： Chiu, Po Chan Selamat, Ali Krejcar, Ondrej Kuok, King Kuok School of Computing Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor81310 Malaysia Universiti Teknologi Malaysia Johor Bahru Johor81310 Malaysia Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Kota Samarahan Sarawak94300 Malaysia Universiti Teknologi Malaysia Kuala Lumpur Jalan Sultan Yahya Petra Kuala Lumpur54100 Malaysia Faculty of Informatics and Management University of Hradec Kralove Rokitanského 62 Hradec Kralove500 03 Czech Republic Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Kuching Sarawak93350 Malaysia

ISBN: (纸本)9781643680125

Handling the missing values play important step in the preprocessing phase of hydrological modeling analysis. One of the challenges in preprocessing phase is to deal with the problems of missing data with good consideration on the pattern and approaches of the missing data. Hence, this paper presents a study on Feedforward neural network algorithm (FFNN) and Elman neural network (ENN) imputation algorithm in estimating missing rainfall data at different percentages of missingness. Reliable rainfall data series from nearest neighbor gauging stations were used as inputs to predict the missing rainfall data for an output station. The selected study area is Sungai Merang, East Malaysia. The study revealed that ENN method demonstrated a superior prediction of the missing daily rainfall data than FFNN method. It is also observed that the ENN model-infilling method could be highly beneficial in reducing the data gaps for continuous hydrological modelling analysis. © 2019 The authors and IOS Press. All rights reserved.

关键词： Feedforward neural networks

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An Experimental Study on The Correlation of Natural Rainfall Intensities and Raindrop Size Distribution Characteristics

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IOP Conference Series: Materials science and engineering 2021年第1期1101卷

作者： S L G Law K K Kuok S G Trinidad Faculty of Engineering Computing and Science (FECS) Swinburne University of Technology Sarawak Malaysia. Department of Civil and Construction Engineering Swinburne University of Technology Melbourne Australia.

This paper aims to study the natural raindrop size distribution characteristics based on the experimental works for three (3) different rainfall intensities, which are 32.41 mm/h, 56.84 mm/h and 85.73 mm/h. A tipping bucket rain gauge was used to record rainfall data during the field study and a professional DSLR camera (Sony α6000) was used to the capture raindrop distribution during rainfall events. A sufficient number of photographs were taken with necessary adjustments on camera setting to produce the required sharpness of the images and to significantly reduce noise disturbances. Sharp images were selected for image segmentation using a customized coding script to further process the images on MATLAB. The segmented or processed images presented in the form of numerical data would provide the details on the number of drop counts in addition to the diameters of the individual drops captured. The raindrop sizes or diameters ranging from 0.5 mm to 4.5 mm were divided into group of 0.5 mm intervals. It is found that lower rainfall intensity at 32.41 mm/h has the highest volumetric drop distribution of 1.0–1.5 mm interval drop group 78.64%. The relatively higher rainfall intensity at 85.73 mm/h tends to produce higher counts in larger droplet sizes with increments of 6.90% for 2.5–3.0 mm and increment of for 3.45% 4.0–4.5 mm. The study also recorded a significant increment of median droplet sizes (D50) ranging from 1.18 mm to 1.33 mm as the rainfall intensity increased from 32.41 mm/h to 85.73 mm/h, respectively.

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Experimental Study on Effects of Plot Length on Runoff Depth Under Natural Precipitation

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IOP Conference Series: Materials science and engineering 2021年第1期1101卷

This paper focuses on the experimental study to determine the relationship of slope length on runoff depth and runoff coefficient. Based on the thorough review of different plot sizes (lengths) for soil loss estimation, the slope of the current experimental plots was designed with an angle of 22.78° from horizontal. The plots were grouped into Plot A (1 m wide x 1 m slope long), Plot B (1 m wide x 2 m slope long) and Plot C (1 m wide x 3 m slope long). Homogenous soil samples were used for all the 3 experimental plots and a tipping bucket rain gauge with automatic data logger was installed at the experimental plot for rainfall intensities collection for the individual rainfall events. Runoff volumes were recorded for the individual rainfall events for determination of runoff coefficients. The rainfall intensities are grouped into ≤30 mm/h, 30-60 mm/h and ≥60 mm/h. It was found that the shorter plot (Plot A) has the highest runoff coefficients of 96.34%, 69.89% and 96.26% for 3 different precipitation groups ≤30 mm/h, 30-60 mm/h and ≥60 mm/h, respectively. Based on results, the longest plot (Plot C) shows that an increase in mean values of 33.59%, 38.30% and 49.45% as the intensity increased from ≤30 mm/h to ≥60 mm/h. From this study, it can be concluded that comparatively longer slope length tends to result in lower runoff depth.

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A hybrid steganography framework using DCT and GAN for secure data communication in the big data era

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Scientific Reports 2025年第1期15卷 1-23页

作者： Malik, Kaleem Razzaq Sajid, Muhammad Almogren, Ahmad Malik, Tauqeer Safdar Khan, Ali Haider Altameem, Ayman Rehman, Ateeq Ur Hussen, Seada Department of Computer Science Air University Islamabad 44230 Pakistan Chair of Cyber Security Department of Computer Science College of Computer and Information Sciences King Saud University Riyadh 11633 Saudi Arabia Department of Information and Communication Technology Bahauddin Zakariya University Punjab Multan 60800 Pakistan Department of Software Engineering Faculty of Computer Science Lahore Garrison University Punjab Lahore 54000 Pakistan College of Computer Science Beijing University of Technology Beijing 100124 China School of Computing Gachon University Seongnam-si 13120 South Korea Department of Electrical Power Adama Science and Technology University Adama 1888 Ethiopia

The growth of the internet and big data has spurred the demand for more extensive information hoarding to store and distribute information. In today’s digital era, ensuring the security of data transmission is paramount. Advancements in digital technology have facilitated the proliferation of high-resolution graphics over the Internet, raising security concerns and enabling unauthorized access to sensitive data. Researchers have increasingly explored steganography as a reliable method for secure communication because it plays a crucial role in concealing and safeguarding sensitive information. This study introduces a novel and comprehensive steganography framework using the discrete cosine transform (DCT) and the deep learning algorithm, generative adversarial network. By leveraging deep learning techniques in both spatial and frequency domains, the proposed hybrid architecture offers a robust solution for applications requiring high levels of data integrity and security. While conventional steganography methods are typically classified into spatial and transform domains, extensive research and analysis demonstrate that the hybrid approach surpasses individual techniques in performance. The experimental results validate the effectiveness of the proposed steganography approach, showcasing superior visual image quality with a mean square error (MSE) of 93.30%, peak signal-to-noise ratio (PSNR) of 58.27%, root mean squared error (RMSE) of 96.10%, and structural similarity index measure (SSIM) of 94.20%, in comparison to existing leading methodologies. The proposed model achieved reconstruction accuracies of 96.2% using Xu Net and 95.7% with SR Net. By combining DCT with deep learning algorithms, the proposed approach overcomes the limitations of spatial domain methods, offering a more flexible and effective steganography solution. Furthermore, simulation results confirm that the proposed technique outperforms state-of-the-art methods across key performance metrics, inc

关键词： DCT Deep learning GAN Spatial domain Steganography

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