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13th International Conference on Signal Processing Systems, ICSPS 2021

作者： Guo, Li Xie, Junwei Xue, Yuyang Li, Ru Zheng, Weixin Tong, Tong Gao, Qinquan College of Physics and Information Engineering Fuzhou University Tsukuba Japan Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology Fuzhou University Tsukuba Japan Imperial Vision Technology Fujian China Department of Computer Science University of Tsukuba Tsukuba Japan

ISBN: (数字)9781510653184

ISBN: (纸本)9781510653177

Low-light images are generally produced by shooting in a low light environment or a tricky shooting angle, which not only affect people's perception, but also leads to the bad performance of some artificial intelligence algorithms, such as object detection, super-resolution, and so on. There are two difficulties in the low-light enhancement algorithm: in the first place, applying image processing algorithms independently to each low-light image often leads to the color distortion;the second is the need to restore the texture of the extremely low-light area. To address these issues, we present two novel and general approaches: firstly, we propose a new loss function to constrain the ratio between the corresponding RGB pixel values on the low-light image and the high-light image;secondly, we propose a new framework named GLNet, which uses the dense residual connection block to obtain the deep features of the low-light images, and design a gray scale channel network branch to guide the texture restoration on the RGB channels by enhancing the grayscale image. The ablation experiments have demonstrated the effectiveness of the proposed module in this paper. Extensive quantitative and perceptual experiments show that our approach obtains state-of-the-art performance on the public dataset. © COPYRIGHT SPIE.

关键词： Image enhancement

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New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking

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Computers, Materials & Continua 2022年第12期73卷 4595-4609页

作者： Deepak Sukheja Javaid Ahmad Shah G.Madhu K.Sandeep Kautish Fahad A.Alghamdi Ibrahim.S.Yahia El-Sayed M.El-Kenawy Ali Wagdy Mohamed Department of Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia Department of Mathematics Dr.APJ Abdul Kalam University Indore(M.P)India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia LBEF Campus Kathmandu44600Nepal Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Laboratory of Nano-Smart Materials for Science and Technology(LNSMST) Department of PhysicsFaculty of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Nanoscience Laboratory for Environmental and Biomedical Applications(NLEBA) Semiconductor Lab.Department of PhysicsFaculty of EducationAin Shams UniversityRoxyCairo 11757Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Sciences Engineering The American University in CairoEgypt

Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational *** this case,the fuzzification and defuzzification processes can be very *** is an effective process to get a single number from the output of a fuzzy *** defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their *** this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or ***,to find the best solution,Hurwicz criteria are used on the defuzzified ***-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy *** proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among *** significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.

关键词： Defuzzification decision-making fuzzy numbers Hurwicz multicriteria decision-making ranking order

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Physical and geometrical parameters of CVBS XIV:the two nearby systems HIP 19206 and HIP 84425

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Research in Astronomy and Astrophysics 2021年第7期21卷 62-70页

作者： Mashhoor A.Al-Wardat Enas Abu-Alrob Abdallah M.Hussein Mohammad K.Mardini Ali A.Taani Hatem S.Widyan Zahraa T.Yousef Hamid M.Al-Naimiy Nihad A.Yusuf Department of Applied Physics and Astronomy University of SharjahSharjahUAE Sharjah Academy for Astronomy Space Science and TechnologySharjahUAE Department of Physics Al al-Bayt UniversityMafraq25113 Jordan Key Lab of Optical Astronomy National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China Physics Department Faculty of ScienceAl-Balqa Applied University19117 SaltJordan Department of Applied Physics Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Department of Physics Yarmouk UniversityIrbid21163Jordan

Data release 2(DR2) from the Gaia mission was of great help in precise determination of fundamental parameters of Close Visual Binary and Multiple Systems(CVBMSs), especially masses of their components, which are crucial parameters in understanding formation and evolution of stars and galaxies. This article presents the complete set of fundamental parameters for two nearby close visual binary systems(CVBSs), which are HIP 19206 and HIP 84425. We utilised a combination of two methods;the first one is Tokovinin's dynamical method to solve the orbit of the system and to estimate orbital elements and the dynamical mass sum, and the second one is Al-Wardat's method for analysing CVBMSs to estimate the physical parameters of the individual components. The latest method employs grids of Kurucz lineblanketed plane parallel model atmospheres to build synthetic Spectral Energy Distributions(SEDs) of the individual components. Trigonometric parallax measurements given by Gaia DR2 and Hipparcos catalogues are used to analyse the two systems. The difference in these measurements yielded slight discrepancies in the fundamental parameters of the individual components, especially masses. So, a new dynamical parallax is suggested in this work based on the most convenient mass sum as given by each of the two methods. The new dynamical parallax for the system HIP 19205 of 22.97±0.95 mas coincides well with the trigonometric one reported recently(in December 2020) by Gaia EDR3 of 22.3689 ± 0.4056 mas. The positions of the components of the two systems on the evolutionary tracks and isochrones are plotted, which suggest that all components are solar-type main sequence stars. Their most probable formation and evolution scenarios are also discussed.

关键词： binaries:close binaries:visual-stars:fundamental parameters stars:individual:HIP 19206 and HIP 84425

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Search, Estimate, and Predict: Efficient Weakly-Supervised Learning

Search, Estimate, and Predict: Efficient Weakly-Supervised L...

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2024 International Conference on Electrical Engineering and Photonics, EExPolytech 2024

作者： Yang, Bokuan Cao, Jinghai Wu, Jessie Wu, Yuanqi Zhang, Jie Pan, Changyong Beijing Smart-Chip Microelectronics Technology Co. Ltd Beijing China Tsinghua University Department of Electronic Engineering Beijing China Physics and Data Science University of Toronto Toronto Canada National Key Lab Adv Vehicle Control Faw Grp Co. Ltd Changchun China

ISBN: (纸本)9798350388879

Most of state-of-the-arts region-based detectors are suffered from the requirement of training for a large volume of bounding box annotated data. In this paper, we propose an innovative weakly-supervised architecture, namely SEP-Net, that employs an efficient proposal searching method on feature maps to generate region proposals via transforming CNN classifiers to object detectors without bounding box annotations. We further show the proposed framework can be used for real-time detection, in which high computation efficiency is a prerequisite. Moreover, the training procedure is exactly the same as what's for CNN classifiers, so is easy to transfer a pre-trained CNN to our weakly-supervised detector as well. Experimental validation on ImageNet 2012 dataset show that the novel model outperforms classical and most recent state-of-the-art weakly-supervised method by a wide margin in terms of both accuracy and efficiency. © 2024 IEEE.

关键词： Self-supervised learning

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Predicting Stock Market Trends Using Deep Learning: A Case Study of Pakistan Stock Exchange 18

Predicting Stock Market Trends Using Deep Learning: A Case S...

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18th International Conference on Open Source Systems and Technologies, ICOSST 2024

作者： Balouch, Maaz Hamayat, Faizan Abbasi, Humza Fazal Javed, Muhammad Qasim Mehrban, Ali Ahmad, Rana Fayyaz Department of Business Studies Namal University Mianwali Pakistan National Center for Physics Machine Learning and Deep Learning Lab Artificial Intelligence Technology Center Islamabad Pakistan Department of Computer Science Bahria University Islamabad Pakistan School of Electrical and Electronics Engineering Newcastle University Newcastle United Kingdom

ISBN: (纸本)9798331508692

This research investigates the short-term stock price prediction in the Pakistan Stock Exchange (PSX) using Deep Learning (DL) techniques. By integrating historical stock data, economic indicators, and market news, the research aims to address the limitations of traditional stock analysis methods. Data was collected and pre-processed from various sources, including the PSX, economic indicators, and market news. Four techniques were implemented: ARIMA, LSTM, BI-LSTM, and a hybrid CNN-BI-LSTM. Their performance was evaluated using RMSE, MAE, and MAPE metrics. Comparative analysis revealed that BILSTM outperformed the other techniques, with RMSE, MAE, and MAPE scores of 0.9298, 0.6099, and 13.9443, respectively. Despite ARIMA's lower accuracy, it had the fastest inference time, followed by LSTM, CNN-BI-LSTM, and BI-LSTM. Results indicate that using comprehensive data with DL models significantly improves stock price forecast accuracy, highlighting the potential of technological innovation in enhancing financial market decision-making. These DL algorithms can provide valuable insights for investors and analysts in the PSX, leading to better decision-making and more accurate economic predictions. © 2024 IEEE.

关键词： Deep learning

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A blockchain-oriented covert communication technology with controlled security level based on addressing confusion ciphertext

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Frontiers of Computer science 2025年第2期19卷 133-135页

作者： Lejun ZHANG Bo ZHANG Ran GUO Zhujun WANG Guopeng WANG Jing QIU Shen SU Yuan LIU Guangxia XU Zhihong TIAN Sergey GATAULLIN Cyberspace Institute Advanced Technology Guangzhou UniversityGuangzhou 510006China Research and Development Center for E-Learning Ministry of EducationBeijing 100039China College of Information Engineering Yangzhou UniversityYangzhou 225009China School Math and Computer Science Quanzhou Normal UniversityQuanzhou 362000China Pazhou Lab Guangzhou 510330China School of Physics and Materials Science Guangzhou UniversityGuangzhou 510006China Central Economic and Mathematics Institute Russian Academy of SciencesMoscow 117418Russia Industrial Programming Department MIREA-Russian Technological UniversityMoscow 119454Russia

1 Introduction Traditional covert communication[1]usually relies on centralized channels,which are efficient in transmission but susceptible to eavesdropping and attacks,leading to information ***,distributed methods also exist,such as peer-to-peer networks and distributed hash *** technology,which is decentralized,anonymous,non-tamperable and anti-attack,can be applied to covert communication to solve the problems of traditional methods and improve the quality of communication.

关键词： communication tables networks

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Robust Ptychographic Reconstruction with an Out-of-Focus Electron Probe

arXiv

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arXiv 2024年

作者： Ning, Shoucong Xu, Wenhui Sheng, Pengju Loh, Leyi Lin, Yue Zhang, Fucai Pennycook, Stephen J. Bosman, Michel He, Qian Department of Physics University of Science and Technology of China Anhui Hefei230026 China Paul Scherrer Institute Villigen PSI Villigen Switzerland Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen518055 China Department of Physics National University of Singapore 117551 Singapore Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of China Anhui Hefei230026 China School of Physical Sciences CAS Key Laboratory of Vacuum Physics University of Chinese Academy of Sciences Beijing100049 China Department of Materials Science and Engineering National University of Singapore Singapore117575 Singapore

As a burgeoning technique, out-of-focus electron ptychography offers the potential for rapidly imaging atomic-scale large fields of view (FoV) using a single diffraction dataset. However, achieving robust out-of-focus ptychographic reconstruction poses a significant challenge due to the inherent scan instabilities of electron microscopes, compounded by the presence of unknown aberrations in the probe-forming lens. In this study, we substantially enhance the robustness of out-of-focus ptychographic reconstruction by extending our previous calibration method (the Fourier method), which was originally developed for the in-focus scenario. This extended Fourier method surpasses existing calibration techniques by providing more reliable and accurate initialization of scan positions and electron probes. Additionally, we comprehensively explore and recommend optimized experimental parameters for robust out-of-focus ptychography, including aperture size and defocus, through extensive simulations. Lastly, we conduct a comprehensive comparison between ptychographic reconstructions obtained with focused and defocused electron probes, particularly in the context of low-dose and precise phase imaging, utilizing our calibration method as the basis for evaluation. © 2024, CC BY-NC-SA.

关键词： Probes

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Green antisolvent additive engineering to improve the performance of perovskite solar cells

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Journal of Energy Chemistry 2022年第3期31卷 1-8,I0001页

作者： Jiahui Li Xiaodong Hua Fei Gao Xiaodong Ren Chaoqun Zhang Yu Han Yuanrui Li Bonan Shi Shengzhong(Frank)Liu Key Laboratory of Applied Surface and Colloid Chemistry National Ministry of EducationShaanxi Engineering Lab for Advanced Energy TechnologySchool of Materials Science and EngineeringShaanxi Normal UniversityXi’an 710119ShaanxiChina Dalian National Laboratory for Clean Energy iChEMDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina

High-quality perovskite films with larger grain size and fewer defects is a prerequisite for highperformance perovskite solar cells(PSCs).Antisolvent-assisted crystallization is an effective approach to obtain compact and uniform perovskite films;however,the majority of antisolvents currently applied have strong toxicity,and the control of perovskite crystallization is not easy through single *** this work,a green antisolvent of ethyl acetate(EA)with acetylacetone(AA)additive is used to fine-tune perovskite crystallization and passivate defect,which produces uniform and compact CH;NH;PbI;perovskite films having larger grain and fewer grain boundaries and reduced defect ***,the interfacial hydrophobic characteristic of the perovskite films is *** the optimized concentration of AA in EA,the power conversion efficiency(PCE)of the CH;NH;PbI;PSCs was improved from 19.2%to 21.1%and their stability in air was also *** results present a green antisolvent additive engineering strategy to enhance the crystallinity,passivate defects,and fabricate efficient and stable PSCs.

关键词： CH3NH3PbI3 films Antisolvent Additive Defect passivation Perovskite solar cells

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Lane Detection with Position Embedding 14

Lane Detection with Position Embedding

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14th International Conference on Digital Image Processing, ICDIP 2022

作者： Xie, Jun Han, Jiacheng Qi, Dezhen Chen, Feng Huang, Kaer Shuai, Jianwei PCIE Lab Lenovo Research China School of Optics and Photonics Beijing Institute of Technology China Department of Physics National Institute for Data Science in Health and Medicine Xiamen University China

ISBN: (纸本)9781510657564

Recently, lane detection has made great progress in autonomous driving. RESA (REcurrent Feature-Shift Aggregator) is based on image segmentation. It presents a novel module to enrich lane feature after preliminary feature extraction with an ordinary CNN. For Tusimple dataset, there is not too complicated scene and lane has more prominent spatial features. On the basis of RESA, we introduce the method of position embedding to enhance the spatial features. The experimental results show that this method has achieved the best accuracy 96.93% on Tusimple dataset. © 2022 SPIE.

关键词： Embeddings

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Thickness-dependent enhanced optoelectronic performance of surface charge transfer-doped ReS2 photodetectors

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Nano Research 2022年第4期15卷 3638-3646页

作者： Peiyu Zeng Wenhui Wang Jie Jiang Zheng Liu Dongshuang Han Shuojie Hu Jiaoyan He Peng Zheng Hui Zheng Liang Zheng Xiaojing Yao Weitao Su Dexuan Huo Zhangting Wu Zhenhua Ni Yang Zhang Lab for Nanoelectronics and NanoDevices Department of Electronics Science and TechnologyHangzhou Dianzi UniversityHangzhou 310018China School of Physics Southeast UniversityNanjing 211189China Jiangsu Province Special Equipment Safety Supervision and Inspection Institute Wuxi 214170China School of Sciences Hangzhou Dianzi UniversityHangzhou 310018China College of Physics and Hebei Advanced Thin Film Laboratory Hebei Normal UniversityShijiazhuang 050024China Institute of Materials Physics Hangzhou Dianzi UniversityHangzhou 310018China

Surface charge transfer doping has been widely utilized to tune the electronic and optical properties of semiconductor photodetectors based on low-dimensional *** many studies have been conducted on the performance(response time,responsivity,etc.)of doped photodetectors and their mechanisms,they merely examined a specific thickness and did not systematically explore the dependence of doping effects on the number of *** work performs a series of investigations on ReS_(2)photodetectors with different numbers of layers and demonstrates that the p-dopant tetrafluorotetracyanoquinodimethane(F_(4)-TCNQ)converts the deep trap states into recombination centers for few-layer ReS_(2)and induces a vertical p-n junction for thicker ReS_(2).A response time of 200 ms is observed in the decorated 2-layer ReS_(2)photodetector,more than two orders of magnitude faster than the response of the pristine photodetector,due to the disappearance of deep trap states.A current rectification ratio of 30 in the F_(4)-TCNQ-decorated sandwiched ReS_(2)device demonstrates the formation of a vertical p-n junction in a thicker ReS_(2)*** responsivity is as high as 2,000 A/W owing to the strong carrier separation of the p-n *** thicknesses of ReS_(2)enable switching of the prominent operating mechanism between transforming deep trap states into recombination centers and forming a vertical p-n *** thicknessdependent doping effect of a two-dimensional material serves as a new mechanism and provides a scheme toward improving the performance of other semiconductor devices,especially optical and electronic devices based on low-dimensional materials.

关键词： Surface charge transfer doping ReS_(2) thickness response time responsivity tetrafluorotetracyanoquinodimethane(F_(4)-TCNQ)

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