检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Xu, Wei Shi, Yecun Xi, Yu Liu, Jingyue Wang, Tan Zhang, Haichao Guo, Cuijuan Bai, Jinjun Xu, Degang Yao, Jianquan Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems School of Electronic and Information Engineering Tiangong University Tianjin300387 China Microelectronic Device Reliability Laboratory Research Test Center of Defense Technology for Aerospace Science and Industry Beijing100854 China Department of Electrical and Computer Engineering Northeatern University BostonMA02115 United States School of Precision Instruments and Optoelectronics Engineering Institute of Laser and Optoelectronics Tianjin University Tianjin300072 China

Due to the particular screen printing rules defined by the unique chip manufacturer and the huge variety of chips, it is difficult to identify chip information by naked eye in chip reliability detection. Automatic identification character technology can help us obtain the information of the chip. But the special character samples in the dataset is extremely uneven. When recognizing characters on chip surface by deep learning, the limited certain characters dataset will reduce the recognition accuracy. A character recognition method for chip surface characters based on text replacement is proposed in this paper. Firstly, the efficient channel attention modules are added to enhance the feature extraction of characters in the text style transfer process. Secondly, the dilated convolution layers are used to replace the residual module during the background restoration process, which help to obtain a more comprehensive background texture feature. Finally, a one-stage target detection network YOLOv5s is used to detect the characters on the chip surface. The experimental results demonstrated that the three evaluation metrics for image generation quality (l2 error, psnr, and ssim) achieved better performance than previous work due to the text replacement network. The overall charac- © 2022, The Authors. All rights reserved.

关键词： Convolution

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Data preparation for artificial intelligence in medical imaging: Experiences from the ProCAncer-I initiative

Data preparation for artificial intelligence in medical imag...

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Data Science and engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Varvara Kalokyri Nikolaos Tachos Stelios Sfakianakis Katerina Nikiforaki Ioannis Karatzanis Haridimos Kondylakis Simone Mazzetti Daniele Regge Nikolaos Papanikolaou Konstantinos Marias Dimitrios Fotiadis Manolis Tsiknakis Institute of Computer Science Foundation of Research and Technology Hellas FORTH-ICS Nik. Heraklion 70013 Crete Greece FORTH-BRI University Campus of Ioannina 45110 Ioannina Greece Department of Surgical Sciences University of Turin Turin Italy Radiology Unit Candiolo Cancer Institute FPO-IRCCS Strada Provinciale 10060 Candiolo(TO) Italy Computational Clinical Imaging Group Champalimaud Research Champalimaud Foundation 1400-038 Lisbon Portugal Greece and the Unit of Medical Technology and Intelligent Information Systems Materials Science and Engineering Department FORTH-BRI University Campus of Ioannina 45110 Ioannina Greece

The ProCAncer-I project, an important initiative in the field of prostate cancer research, is exploiting the power of Artificial Intelligence (AI) to advance prostate cancer diagnosis, prognosis, and treatment. The success of AI in prostate cancer imaging within this context relies on meticulous data preparation, especially when dealing with clinical data that need to be integrated with imaging data. This paper explores the importance of data preparation to implement AI tools for prostate cancer imaging, and outlines the approach followed and challenges needed to be addressed in the context of ProCAncer-I, for ensuring data quality, privacy, and reliability.

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COMPARING PERFORMANCE OF CROP SPECIES MIXTURES AND PURE STANDS

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Frontiers of Agricultural Science and engineering 2021年第3期8卷 481-489页

作者： Wopke VAN DER WERF Lizhen ZHANG Chunjie LI Ping CHEN Chen FENG Zhan XU Chaochun ZHANG Chunfeng GU Lammert BASTIAANS David MAKOWSKI TjeerdJan STOMPH Wageningen University Centre for Crop Systems Analysis6700 AK Wageningenthe Netherlands College of Resources and Environmental Sciences China Agricultural UniversityBeijing 100193China College of Resources and Environmental Sciences National Academy of Agriculture Green DevelopmentChina Agricultural UniversityBeijing 100193China College of Agronomy/Sichuan Engineering Research Center for Crop Strip Intercropping System/Key Laboratory of Crop Ecophysiology and Farming System in Southwest Ministry of Agriculture and Rural Affairs of ChinaChengdu 611130China Tillage and Cultivation Research Institute Liaoning Academy of Agricultural SciencesShenyang 110161China INRAe AgroParisTechUniversitéParis-SaclayUnit Applied Mathematics and Computer Science(UMR MIA 518)16 rue Claude Bernard F-75231 ParisFrance

Intercropping is the planned cultivation of species mixtures on agricultural *** has many attributes that make it attractive for developing a more sustainable agriculture,such as high yield,high resource use efficiency,lower input requirements,natural suppression of pests,pathogens and weeds,and building a soil with more organic carbon and *** is needed which species combinations perform best under different circumstances and which management is suitable to bring out the best from intercropping in a given production *** literature is replete with case studies on intercropping from across the globe,but evidence synthesis is needed to make this information ***-analysis requires a careful choice of metric that is appropriate for answering the question at hand,and which lends itself for a robust *** paper reviews some metrics that may be used in the quantitative synthesis of literature data on intercropping.

关键词： intercropping species mixtures metaanalysis metrics indicators

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Loop Quantum Photonic Chip for Coherent Multi-Time-Step Evolution

arXiv

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arXiv 2024年

作者： Zhan, Yuancheng Zhang, Hui Erbanni, Rebecca Burger, Andreas Wan, Lingxiao Jiang, Xudong Chae, Sanghoon Liu, Aiqun Poletti, Dario Kwek, Leong Chuan Nanyang Technological University Singapore Nanyang Technological University Singapore Institute of Precision Optical Engineering School of Physics Science and Engineering Tongji University Shanghai200092 China MOE Key Laboratory of Advanced Micro-Structured Materials Shanghai Institute of Intelligent Science and Technology Shanghai Frontiers Science Center of Digital Optics Tongji University Shanghai200092 China Science Mathematics and Technology Cluster Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Department of Computer Science University of Toronto Canada The Hong Kong Polytechnic University Hong Kong Engineering Product Development Pillar Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Centre for Quantum Technologies National University of Singapore 117543 Singapore MajuLab CNRS-UNS-NUS-NTU International Joint Research Unit UMI 3654 Singapore National Institute of Education Nanyang Technological University Singapore

Quantum evolution is crucial for the understanding of complex quantum systems. However, current implementations of time evolution on quantum photonic platforms face challenges of limited light source efficiency due to propagation loss and merely single-layer complexity. In this work, we present a loop quantum photonic chip (Loop-QPC) designed to efficiently simulate quantum dynamics over multiple time steps in a single chip. Our approach employs a recirculating loop structure to reuse computational resources and eliminate the need for multiple quantum tomography steps or chip reconfigurations. We experimentally demonstrate the dynamics of the spin-boson model on a low-loss Silicon Nitride (SiN) integrated photonic chip. The Loop-QPC achieves a three-step unitary evolution closely matching the theoretical predictions. These results establish the Loop-QPC as a promising method for efficient and scalable quantum simulation, advancing the development of quantum simulation on programmable photonic circuits. Copyright © 2024, The Authors. All rights reserved.

关键词： Silicon nitride

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A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation

arXiv

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arXiv 2022年

作者： Liu, Na Li, Wei Wang, Yinjian Tao, Ran Du, Qian Chanussot, Jocelyn School of Information and Electronics Beijing Institute of Technology Beijing Key Laboratory of Fractional Signals and Systems Beijing100081 China Department of Electrical and Computer Engineering Mississippi State University StarkvilleMS39762 United States University of Grenoble Alpes INRIA CNRS Grenoble INP LJK Grenoble38000 France Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China

The ability of capturing fine spectral discriminative information enables hyperspectral images (HSIs) to observe, detect and identify objects with subtle spectral discrepancy. However, the captured HSIs may not represent true distribution of ground objects and the received reflectance at imaging instruments may be degraded, owing to environmental disturbances, atmospheric effects and sensors’ hardware limitations. These degradations include but are not limited to: complex noise (i.e., Gaussian noise, impulse noise, sparse stripes, and their mixtures), heavy stripes, deadlines, cloud and shadow occlusion, blurring and spatial-resolution degradation and spectral absorption, etc. These degradations dramatically reduce the quality and usefulness of HSIs. Low-rank tensor approximation (LRTA) is such an emerging technique, having gained much attention in HSI restoration community, with ever-growing theoretical foundation and pivotal technological innovation. Compared to low-rank matrix approximation (LRMA), LRTA is capable of characterizing more complex intrinsic structure of high-order data and owns more efficient learning abilities, being established to address convex and non-convex inverse optimization problems induced by HSI restoration. This survey mainly attempts to present a sophisticated, cutting-edge, and comprehensive technical survey of LRTA toward HSI restoration, specifically focusing on the following six topics: Denoising, Destriping, Inpainting, Deblurring, Super–resolution and Fusion. The theoretical development and variants of LRTA techniques are also elaborated. For each topic, the state-of-the-art restoration methods are compared by assessing their performance both quantitatively and visually. Open issues and challenges are also presented, including model formulation, algorithm design, prior exploration and application concerning the interpretation requirements. © 2022, CC BY.

关键词： Remote sensing

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AI/ML-Based Automatic Modulation Recognition: Recent Trends and Future Possibilities

arXiv

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arXiv 2025年

作者： Jafarigol, Elaheh Alaghband, Behnoud Gilanpour, Azadeh Hosseinipoor, Saeid Mirmozafari, Mirhamed Data Science and Analytics Institute University of Oklahoma 202 W. Boyd St. Room 409 NormanOK73019 United States Electrical and Computer Science Department University of New Mexico Farris Engineering Center 1901 RedondoMSC01 1130 AlbuquerqueNM87131 United States Labcorp Drug Development 3301 Kinsman Blvd MadisonWI53704 United States Samsung Research America San FranciscoCA94111 United States Maxwave LLC 2616 Dublin Way WaunakeeWI53597 United States

We present a review of high-performance automatic modulation recognition (AMR) models proposed in the literature to classify various Radio Frequency (RF) modulation schemes. We replicated these models and compared their performance in terms of accuracy across a range of signal-to-noise ratios. To ensure a fair comparison, we used the same dataset (RadioML-2016A), the same hardware, and a consistent definition of test accuracy as the evaluation metric, thereby providing a benchmark for future AMR studies. The hyperparameters were selected based on the authors’ suggestions in the associated references to achieve results as close as possible to the originals. The replicated models are publicly accessible for further analysis of AMR models. We also present the test accuracies of the selected models versus their number of parameters, indicating their complexities. Building on this comparative analysis, we identify strategies to enhance these models’ performance. Finally, we present potential opportunities for improvement, whether through novel architectures, data processing techniques, or training strategies, to further advance the capabilities of AMR models. © 2025, CC BY.

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Ide4icds: A Model-Driven Proposal to Improve the Digitization of Clinical Practice Guideline

SSRN

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SSRN 2023年

作者： Parra-Calderón, Carlos García-García, Julián Alberto Ramos-Cueli, Juan Manuel Alvarez-Romero, Celia Román-Villarán, Esther Martínez-García, Alicia Escalona, María José Computer Languages and Systems Department Escuela Técnica Superior de Ingeniería Informática Avda. Reina Mercedes s/n. Seville41012 Spain Group of Research and Innovation in Biomedical Informatics Biomedical Engineering and Health Economy Institute of Biomedicine of Seville Avda. Manuel Siurot s/n. Seville41013 Spain Soltel Group Calle Leonardo da Vinci 13 Seville41092 Spain

Clinical practice guidelines (CPGs) are a formalization of specific clinical knowledge that states the best evidence-based clinical practices for treating pathologies. This formalization makes it possible to improve healthcare quality by reducing variability. However, CPGs are handicapped because they are usually expressed as text. This gives rise to a certain level of ambiguity, subjective interpretation of the actions to be performed, and variability in clinical practice by different health professionals facing the same circumstances. The inherent complexity of CPGs is also a challenge for software engineers designing, developing, and maintaining software systems and clinical expert systems to manage them. This challenge stems from the need to evolve CPGs and design software systems capable of allowing their evolution agilely, effectively, and flexibly. This paper proposes a theoretical model-driven framework (called IDE4ICDS;Integrated development Environment for Improving Clinical Decision Support based on Clinical Guidelines) for improving CPG management and it presents the design of the expert systems that support it to be applied in practical environments. For this purpose, this paper follows the design science research methodology to achieve the stated objective. A pilot project in a real health context in Spain was also executed to evaluate the feasibility of our proposal. When applied in a real pilot project, it could be seen that our framework and our platform allowed us to speed up the design and development of clinical decision support tools thanks to the systematization and automation of models and code. We also observed a decrease in clinical practice variability and an improvement in patient safety. © 2023, The Authors. All rights reserved.

关键词： Knowledge representation

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International research initiative on genomicsguided sugarcane breeding

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Molecular Plant 2025年第2期18卷 171-174页

作者： Xingtan Zhang Jungang Wang Noor-ul-Ain Youxiong Que Jisen Zhang Javeria Abid Peifang Zhao Yuebin Zhang Jishan Lin Li-yu Chen Yixue Bao Robert Herry Sithichoke Tangphatsornruang Qinnan Wang Dongliang Huang Jian Ye Muqing Zhang Ming Luo Mike Butterfield Ren Wang Ray Ming National Key Laboratory of Tropical Crop Breeding Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesSanyaHainanChina National Key Laboratory for Tropical Crop Breeding Agricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdong 518120China State Key Laboratory for Conservation and Utilization of Subtropical Agri-Biological Resources&Guangxi Key Laboratory for Sugarcane Biology Guangxi UniversityNanningGuangxiChina National Key Laboratory of Tropical Crop Breeding Yunan Academy of Agricultural SciencesKaiyuanYunnanChina National Engineering Research Center for Sugarcane Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyKey Laboratory of GeneticsBreeding and Multiple Utilization of CropsMinistry of EducationFujian Agriculture and Forestry UniversityFuzhouFujianChina Queensland Alliance for Agriculture and Food Innovation University of QueenslandBrisbaneQLDAustralia National Omics Center National Science and Technology Development AgencyPathum ThaniThailand Institute of Nanfan&Seed Industry Guangdong Academy of Sciencesand Ministry of Agriculture of Guangdong Sugarcane Germplasm Resources and Utilization of Scientific Observation Test StationNo.10 Shiliugang RdGuangzhouGuangdong China Guangxi Key Laboratory of Sugarcane Genetic Improvement Guangxi Academy of Agricultural SciencesNanningGuangxiChina State Key Laboratory of Plant Genomics Institute of MicrobiologyChinese Academy of SciencesBeijingChina State Key Laboratory of Plant Diversity and Specialty Crops Guangdong Provincial Key Laboratory of Applied BotanySouth China Botanical Garden Chinese Academy of SciencesGuangzhou 510650China 12Centro De Tecnologia CanavieiraPiracicabaSão PauloBrazil

Addressing global challenges such as energy sustainability,food security,and environmental conservation requires innovative agricultural *** sugarcane(Saccharum hybrid)is a crucial crop that contributes not only to the sugar industry but also to bioenergy *** its traditional role,sugarcane supports global food security,environmental sustainability,and economic empowerment of *** 80%of the worldwide sugarcane production is dedicated to sugar,a dietary staple(OECD-FAO,2024).The remaining 19%aid biofuel production,with sugarcane accounting for 24%of the global ethanol feedstock by *** a C4 plant,sugarcane efficiently captures atmospheric carbon and acts as an important carbon ***,sugarcane cultivation can lower local temperatures by nearly 1°C compared to pastures/natural vegetation(Loarie et al.,2011).Economically,sugarcane is a high-value cash crop,generating$43 billion annually in Brazil alone(Voora et al.,2023).

关键词： annually sugar breeding

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Optimal stochastic bilevel scheduling of pumped hydro storage systems in a pay-as-bid energy market environment

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Journal of Energy Storage 2020年 31卷

作者： Akbari-Dibavar, Alireza Mohammadi-Ivatloo, Behnam Zare, Kazem Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Institute of Research and Development Duy Tan University Da Nang550000 Viet Nam

This paper proposes a stochastic bilevel optimization approach to owners of pumped hydro storage systems (PHSSs) to participate in pay-as-bid power market and provide optimal bids and offers. The price offering of other generation units is modeled by stochastic programming. The upper-level of the proposed bilevel programming seeks maximization of the profit of the PHSS arbitrage, where the lower-level assures the optimal system dispatching (and market-clearing), and keeps the network security. The bilevel optimization is then transferred into a single-level equivalent via Karush-Kuhn-Tucker (KKT) complementarity conditions. The equations of the KKT conditions are linearly modeled using special ordered sets of type 1 (SOS1) variables. Furthermore, the bilinear objective function of the upper-level is approximated using McCormick envelopes relaxation method, in order to obtain the solutions as fast as possible and making the problem as mixed-integer linear programming. The proposed method is verified on the IEEE 24-bus reliability test system (RTS) considering different cases. The operation of a single PHSS is assessed in the network's normal and congested conditions. The results show that the PHSS achieve more revenue in a limited network as the offered prices go up to price cap in some periods. In the studied cases, the profit of energy arbitrage by the PHSS increases from $ 3302 in a normal network, to $ 8170 in a limited network. Moreover, the effect of wind generation uncertainty on the arbitrage problem is investigated using five sub-scenarios dedicated to wind generation. It is shown that the arbitrage profit is more sensitive on generation cost uncertainty rather than wind generation uncertainty. Furthermore, it is revealed that the expected profit in the presence of wind turbines is slightly lower than that without wind turbines. This is due to the fact that the wind generation power is always accepted and dispatched in the market and lowers the load demand a

关键词： Stochastic programming

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The status of the TALE surface detector array and a TALE infill project 37

The status of the TALE surface detector array and a TALE inf...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Iwasaki, Aoi Ogio, Shoichi Abbasi, R.U. Abu-Zayyad, T. Allen, M. Arai, Y. Arimura, R. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cady, R. Cheon, B.G. Chiba, J. Chikawa, M. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Fukushima, R. Furlich, G. Gonzalez, R. Globus, N. Hanlon, W. Hayashi, M. Hayashida, N. Hibino, K. Higuchi, R. Honda, K. Ikeda, D. Inadomi, T. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwakura, H. Iwasaki, A. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawai, H. Kawakami, S. Kawana, S. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, J.H. Kim, M.H. Kim, S.W. Kimura, Y. Kishigami, S. Kubota, Y. Kurisu, S. Kuzmin, V. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lubsandorzhiev, B. Lundquist, J.P. Machida, K. Matsumiya, H. Matsuyama, T. Matthews, J.N. Mayta, R. Minamino, M. Mukai, K. Myers, I. Nagataki, S. Nakai, K. Nakamura, R. Nakamura, T. Nakamura, T. Nakamura, Y. Nakazawa, A. Nishio, E. Nonaka, T. Oda, H. Ogio, S. Ohnishi, M. Ohoka, H. Oku, Y. Okuda, T. Omura, Y. Ono, M. Onogi, R. Oshima, A. Ozawa, S. Park, I.H. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rubtsov, G.I. Ryu, D. Sagawa, H. Sahara, R. Saito, Y. Sakaki, N. Sako, T. Sakurai, N. Sano, K. Sato, K. Seki, T. Sekino, K. Shah, P.D. Shibasaki, Y. Shibata, F. Shibata, N. Shibata, T. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Sone, N. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, Y. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, H. Tanaka, K. Tanaka, M. Tanoue, Y. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Tomida, T. Troitsky, S. Tsuda, R. Tsunesada, Y. Uchihori, Y. Udo, S. Uehama, T. Urban, F. Wong, T. Yada, K. Yamamoto, M. Yamazaki, K. Yang, J. Yashiro, K. Yoshida, F. Yoshioka, Y. Zhezher, Y. Zundel, Z. Graduate School of Science Osaka City University 3-3-138 Sugimoto Sumiyoshi-ku Osaka Japan Nambu Yoichiro Institute of Theoretical and Experimental Physics Osaka City University 3-3-138 Sugimoto Sumiyoshi-ku Osaka Japan Department of Physics Loyola University Chicago ChicagoIL United States High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT United States Graduate School of Science Osaka City University Osaka Osaka Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul Korea Republic of Department of Physics Tokyo University of Science Chiba Noda Japan Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa Japan The Hakubi Center for Advanced Research Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto Japan Information Engineering Graduate School of Science and Technology Shinshu University Nagano Nagano Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano Japan The Graduate School of Science and Engineering Saitama University Saitama Saitama Japan Astrophysical Big Bang Laboratory RIKEN Saitama Wako Japan Department of Physics SungKyunKwan University Jang-an-gu Suwon Korea Republic of Department of Physics Tokyo City University Setagaya-ku Tokyo Japan Institute for Nuclear Research The Russian Academy of Sciences Moscow Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Minato-ku Tokyo Japan Department of Engineering Science Faculty of Engineering Osaka Electro-Communication University Neyagawa-shi Osaka Japan Department of Physics Chiba University Chiba Chiba Japan Service de Physique Theorique Universit

Routine hybrid observations of the surface detectors (SD) in conjunction with the fluorescence detectors (FD) of the Telescope Array Low-energy Extension (TALE) began in November 2018. In this presentation, we will describe the simulation studies of detector aperture and resolution of the TALE SD, and report on the latest observation results other than the energy spectrum. We are also in the process of expanding the experiment by 50 SDs, with even smaller nearest-neighbor spacing, in order lower the energy threshold to match that of the Cherenkov-dominated events seen by the FD. Details of the upgrade and expected performance of this new extension will be discussed. © Copyright owned by the author(s).

关键词： Fluorescence

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