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The 2023 International Conference on Display Technology, (ICDT 2023)

作者： Li, An-Ran Srivastava, Abhishek K. Yu, Xin-Yi Sun, Zhi-Bo Yuan, Zheng-Nan State Key Laboratory of Advanced Displays and Optoelectronics Technologies and Centre for Display Research Department of Electronics and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

In this paper, we present an optically transparent multi-planar 3D display device based on multi-passive matrixed coded pixelated polymer-dispersed liquid crystals (PDLC). The PDLC film used in this experiment has high transparency transmission (97.1%) and fast switching time characteristics within 20ms. We provide a method to display different depth-of-field images by layering them on a multi-layer screen, by which it is possible to render near and far views in different planes, thus bringing 3-dimensional visual information to the observer, ultimately A proof-of-concept prototype of a dual-plane 3D display has been realized. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Three dimensional displays

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Ultrahigh-Resolution Corrugated Silicon Nitride Masks for Direct Patterning of OLED Microdisplays

Ultrahigh-Resolution Corrugated Silicon Nitride Masks for Di...

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SID International Symposium Digest of Technical Papers, 2023

作者： Dong, Shou-Cheng Yang, Jiye Deng, Sunbin Ting Tam, Bryan Siu Yao, Jingwen Tang, Ching W. State Key Laboratory of Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Institute for Advanced Study Hong Kong University of Science and Technology Hong Kong

Corrugated silicon nitride masks (SiNMs) of 2000 ppi are developed to reduce the shadowing effect in direct patterning of high-resolution, RGB side-by-side OLED microdisplays. Periodic corrugations in the free-standing silicon nitride membrane elevate the through-apertures and reduce the gap between the mask and the substrate. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Silicon nitride

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Enhanced Layer Extraction for Efficient Plant Disease Classification using Efficientnet B1

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SN computer science 2025年第4期6卷 1-15页

作者： Thakur, Arastu Thakur, Abhilasha Vivek, V. Mahesh, T.R. Krishna, K. Murali Department of Computer Science and Engineering Faculty of Engineering and Technology JAIN (Deemed-to-Be University) Bangalore 562112 India Department of Agriculture Marwadi University Gujarat Rajkot India Alliance School of Advanced Computing Alliance University Chandapura - Anekal Main Road Bengaluru Anekal 562106 India Department of Electrical and Electronics Engineering Faculty of Engineering and Technology JAIN (Deemed-to-Be University) Bangalore 562112 India

Agriculture is crucial for the global economy, providing sustenance and resources for various industries. However, plant diseases threaten crop quality and yield, risking severe economic impacts. Traditional plant disease diagnosis methods, like manual inspection or basic machine learning, are slow, require expertise, and struggle with scalability and adapting to new diseases. This study introduces a deep learning model using convolutional neural networks (cnns) to autonomously detect and classify plant diseases from images, enhancing speed, scalability, and accuracy. We utilize the efficientnetb1 architecture, pretrained on imagenet and fine-tuned on a dataset of bell pepper, potato, and tomato diseases, recognizing 14 diseases plus healthy plants. The model achieves 98.80% accuracy on the test dataset, with high precision, recall, and F1-scores, demonstrating its effectiveness in plant disease diagnosis. This advancement marks a significant step in automating plant disease diagnosis, offering a robust tool for effective disease management in agriculture. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Agriculture Automated diagnosis Deep learning Disease management Efficientnetb1 Image classification Plant disease detection Transfer learning

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Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion

Hypergraph-Based Source Codes for Function Computation Under...

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作者： Basu, Sourya Seo, Daewon Varshney, Lav R. University of Illinois Urbana-Champaign Coordinated Science Laboratory Department of Electrical and Computer Engineering UrbanaIL61801 United States Daegu Gyeongbuk Institute of Science and Technology Department of Electrical Engineering and Computer Science Daegu42988 Korea Republic of

This work investigates functional source coding problems with maximal distortion, motivated by approximate function computation in many modern applications. The maximal distortion treats imprecise reconstruction of a function value as good as perfect computation if it deviates less than a tolerance level, while treating reconstruction that differs by more than that level as a failure. Using a geometric understanding of the maximal distortion, we propose a hypergraph-based source coding scheme for function computation that is constructive in the sense that it gives an explicit procedure for finding optimal or good auxiliary random variables. Moreover, we find that the hypergraph-based coding scheme achieves the optimal rate-distortion function in the setting of coding for computing with side information and achieves the Berger-Tung sum-rate inner bound in the setting of distributed source coding for computing. It also achieves the El Gamal-Cover inner bound for multiple description coding for computing and is optimal for successive refinement and cascade multiple description problems for computing. Lastly, the benefit of complexity reduction of finding a forward test channel is shown for a class of Markov sources. © 2020 IEEE.

关键词： Image coding

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An Efficient Approach of Brain Tumor Detection & Extraction using BWT with Auto Enhance Technique

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Procedia computer science 2025年 258卷 4105-4116页

作者： Nilesh Bhaskarrao Bahadure Sudhanshu Gonge Jagdish Chandra Patni Bhoomi Shah Nagrajan Raju Prasenjeet D. Patil Department of Computer Science and Engineering School of Technology GSFC University Vadodara Gujarat India Department of Computer Science and Engineering Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune Maharashtra India Department of Computer Science and Engineering Alliance School of Advanced Computing Alliance University Bengaluru India Department of Electrical and Electronics Engineering SASTRA University Thanjavur Tamil Nadu India Department of Computer Science and Engineering MIT ADT University Pune India

Brain tumor detection and extraction of infected areas with utmost accuracy is essential in medical image analysis. Despite ex- cessive research, segmentation operation for brain tumor detection remains an exigent issue because medical images have diverse image contents, non-uniformity object texture, occlusion, image noise, and other factors that consistently influence and affect per- formance analysis. This paper introduces the most efficient brain tumor detection and extraction technique, using Berkely Wavelet Transformation-based segmentation with auto-enhancement techniques. If the input images are too dark or their intensity is not good enough, the auto-enhance technique will automatically adjust the image quality. The extensive experimental analysis and sim- ulation, with a comparison of the results with other state-of-the-art techniques available, prove the significance and effectiveness of the proposed algorithm. The primary intent of this paper is to develop a simple but performance-oriented algorithm for brain tumor detection and extraction, which is suitable for most imaging modalities and gives the best performance even if images are of poor quality.

关键词： Berkeley wavelet transformation enhancement magnetic resonance imaging (MRI) segmentation morphology

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Carbon nanotube transistor technology for More-Moore scaling

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Nano Research 2021年第9期14卷 3051-3069页

作者： Qing Cao Department of Materials Science and Engineering Department of Electrical and Computer EngineeringDepartment of Chemistry Seitz Materials Research LaboratoryUniversity of Illinois at Urbana-ChampaignUrbanaIL 61820USA

Scaling of silicon field-effect transistors has fueled the exponential development of microelectronics in the past 60 years,but is now close to its physical limits with the critical dimensions of state-of-the-art silicon devices approaching the sub-10 nm *** nanotubes have been suggested to hold great promise of replacing the central role of silicon in the next-generation logic switches with their unique geometrical and electrical *** this article,I firstly examine the scaling advantages of carbon nanotubes compared to silicon from technology-development perspective,and then review the latest progress on addressing the manufacturability issues for scaled carbon-nanotube transistors,from materials to device-integration ***,the possible pathways for nanotube transistors to transition into commercial applications are discussed.

关键词： carbon nanotube transistor scaling

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Learning Probabilistic Coordinate Fields for Robust Correspondences

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IEEE Transactions on Pattern Analysis and Machine Intelligence 2023年第10期45卷 12004-12021页

作者： Zhao, Weiyue Lu, Hao Ye, Xinyi Cao, Zhiguo Li, Xin Huazhong University of Science and Technology The Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Wuhan430074 China West Virginia University The Lane Department of Computer Science and Electrical Engineering MorgantownWV26506-6109 United States

We introduce Probabilistic Coordinate Fields (PCFs), a novel geometric-invariant coordinate representation for image correspondence problems. In contrast to standard Cartesian coordinates, PCFs encode coordinates in correspondence-specific barycentric coordinate systems (BCS) with affine invariance. To know when and where to trust the encoded coordinates, we implement PCFs in a probabilistic network termed PCF-Net, which parameterizes the distribution of coordinate fields as Gaussian mixture models. By jointly optimizing coordinate fields and their confidence conditioned on dense flows, PCF-Net can work with various feature descriptors when quantifying the reliability of PCFs by confidence maps. An interesting observation of this work is that the learned confidence map converges to geometrically coherent and semantically consistent regions, which facilitates robust coordinate representation. By delivering the confident coordinates to keypoint/feature descriptors, we show that PCF-Net can be used as a plug-in to existing correspondence-dependent approaches. Extensive experiments on both indoor and outdoor datasets suggest that accurate geometric invariant coordinates help to achieve the state of the art in several correspondence problems, such as sparse feature matching, dense image registration, camera pose estimation, and consistency filtering. Further, the interpretable confidence map predicted by PCF-Net can also be leveraged to other novel applications from texture transfer to multi-homography classification. © 1979-2012 IEEE.

关键词： Image registration

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The spectrum analysis of RMP coils with multiple connection modes and the design of high field side coils on J-TEXT

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Plasma science and Technology 2022年第12期24卷 224-231页

作者： Zhengkang REN Da Li Nengchao WANG Feiyue MAO Zhuo HUANG Song ZHOU Ruo JIA Ying HE Chengshuo SHEN Abba Alhaji BALA Bo RAO Yonghua DING the J-TEXT Team International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074People's Republic of China College of Computer Science South-Central Minzu UniversityWuhan 430074People's Republic of China Physics Department Federal University DutseDutse 720101Nigeria

The phase difference Δξ between locked islands(2/1 and 3/1) has been found to influence the heat transport on the thermal quench during disruptions by numerical modeling [Hu Q et al *** 59,016005].To verify this experimentally,a set of resonant magnetic perturbation(RMP) coils is required to excite coupled magnetic islands with different Δξ.The spectrum analysis shows that the current RMP coils on J-TEXT can only produce sufficient 2/1 and 3/1RMP fields with a limited phase difference of Δξ∈[-75°,75°].In order to broaden the adjustable range of Δξ,a set of coils on the high field side(HFS) is proposed to generate 2/1 and 3/1 RMP fields with Δξ=180°.As a result,RMPs with adjustable Δξ∈[-180°,180°] and sufficient amplitudes could be achieved by applying the HFS coils and the low field side(LFS)*** work provides a feasible solution for flexible adjustment of the phase difference between m and m+1 RMP,which might facilitate the study of major disruptions and their control.

关键词： resonant magnetic perturbation spectrum analysis phase difference between 2/1 and 3/1 islands

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High Efficiency and Brightness Quantum Rods Light Emitting Diode

High Efficiency and Brightness Quantum Rods Light Emitting D...

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International Symposium, Seminar, and Exhibition, Display Week 2024

作者： Liao, Zebing Prodanov, Maksym F. Mallem, Kumar Kang, Chengbin Song, Jianxin Bhadra, Debjyoti Srivastava, Abhishek K. State Key Laboratory on Advanced Displays and Optoelectronics Technologies and Centre for Display Research Department of Electronics and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong

Despite substantial efforts, the maximum external quantum efficiency (EQE) of red, green, and blue quantum dots remains close to 25%, limited by the outcoupling efficiency of specific device optical structures. Further improvements have primarily focused on optimizing light management. In this study, we employed rodshaped nanocrystals instead of sphere-like quantum dots as the light-emitting layer. The theoretical device outcoupling efficiency significantly increased to nearly 41% due to the intrinsic horizontal dipole alignment within the quantum rod film, nearly doubling the efficiency compared to quantum dot light-emitting diodes (QDLEDs). As a result, we achieved record-high EQEs of 14.1% for green quantum rod light-emitting diodes, with maximum brightness exceeding 150,000 cd/m2, respectively. Our research demonstrates the immense potential of QRLEDs for display and lighting applications, paving a new way for the commercialization of nanocrystal particles. © 2024, John Wiley and Sons Inc. All rights reserved.

关键词： Semiconductor quantum dots

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Reducing Resolution Loss in Naked Eye 3D Display Using Dual Ferroelectric Liquid Crystal (FLC) Shutters for Time-multiplexed Light Field Display

Reducing Resolution Loss in Naked Eye 3D Display Using Dual ...

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International Symposium, Seminar, and Exhibition, Display Week 2024

作者： Sun, Zhi-Bo Yuan, Zheng-Nan Huo, Yi-Peng Dong, Shou-Cheng Cheung, Alex Vashchenko, Valerii Vashchenko, Olena Srivastava, Abhishek Kwok, Hoi-Sing State Key Laboratory of Advanced Displays and Optoelectronics Technologies and Center for Display research Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Road Kowloon Hong Kong

Usually, the resolution loss is serious in light field display due to the spatial multiplexing of several neighboring pixels to display images from different directions. With the limitation in the resolution of the flat panel display, the light field 3D display shows insufficient display size, image depth, or resolution. This article utilized the FLC with a fast response at 2 kHz and the optimized charge compensation method to achieve a high refresh time multiplexing method, which can effectively increase the display resolution by up to 32 times and is very promising for light field 3D displays in the future. © 2024, John Wiley and Sons Inc. All rights reserved.

关键词： Flat panel displays

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