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MREAK : Morphological retina keypoint descriptor

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arXiv 2019年

作者： Vaghela, Himanshu Oza, Manan Bagul, Sudhir Department of Computer Engineering D. J. Sanghvi College of Engineering Mumbai India

A variety of computer vision applications depend on the efficiency of image matching algorithms used. Various descriptors are designed to detect and match features in images. deployment of this algorithms in mobile applications creates a need for low computation time. Binary descriptors requires less computation time than float-point based descriptors because of the intensity comparison between pairs of sample points and comparing after creating a binary string. In order to decrease time complexity, quality of keypoints matched is often compromised. We propose a keypoint descriptor named Morphological Retina Keypoint descriptor (MREAK) inspired by the function of human pupil which dilates and constricts responding to the amount of light. By using morphological operators of opening and closing and modifying the retinal sampling pattern accordingly, an increase in the number of accurately matched keypoints is observed. Our results show that matched keypoints are more efficient than FREAK descriptor and requires low computation time than various descriptors like SIFT, BRISK and SURF. Copyright © 2019, The Authors. All rights reserved.

关键词： Mathematical morphology

Semi-supervised image-to-image translation

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arXiv 2019年

作者： Oza, Manan Vaghela, Himanshu Bagul, Sudhir Department of Computer Engineering D. J. Sanghvi College of Engineering Mumbai India

Image-to-image translation is a long-established and a difficult problem in computer vision. In this paper we propose an adversarial based model for image-to-image translation. The regular deep neural-network based methods perform the task of image-to-image translation by comparing gram matrices and using image segmentation which requires human intervention. Our generative adversarial network based model works on a conditional probability approach. This approach makes the image translation independent of any local, global and content or style features. In our approach we use a bidirectional reconstruction model appended with the affine transform factor that helps in conserving the content and photorealism as compared to other models. The advantage of using such an approach is that the image-to-image translation is semi-supervised, independant of image segmentation and inherits the properties of generative adversarial networks tending to produce realistic. This method has proven to produce better results than Multimodal Unsupervised Image-to-image translation. Copyright © 2019, The Authors. All rights reserved.

关键词： Generative adversarial networks

Excitation-dependent Anti-Thermal Quenching in Zero-dimensional Manganese Bromides for Photoluminescence and X-Ray Scintillation

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Angewandte Chemie 2024年第5期137卷

作者： Ye Wu Yiyuan Zhu Ashour A. Ahmed Muhammad Imran Shuangchen Qiu Yang liu Xudong Hu Yasser Hassan Zhiguo Sun Prof. Renren deng Prof. Xiaoming li MIIT Key Laboratory of Advanced Display Materials and Devices Institute of Optoelectronics and Nanomaterials College of Materials Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China State Key Laboratory of Silicon and Advanced Semiconductor Materials Institute for Composites Science Innovation School of Materials Science and Engineering Zhejiang University Hangzhou 310058 China Leibniz Institute for Catalysis (LIKAT) Albert-Einstein-Str. 29a D-18059 Rostock Germany University of Rostock Institute of Physics Albert-Einstein-Str. 23-24 D-18059 Rostock Germany Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada School of Materials Science and Engineering Shenyang University of Technology Shenyang 110870 China Department of Chemistry and Earth Sciences College of Arts and Sciences Qatar University Doha 2713 Qatar School of Chemistry and Chemical Engineering Anshun University Anshun Guizhou 561000 China

One of the most significant challenges of luminescent materials is the thermal quenching (TQ) at high temperature. Understanding the correlation between crystal structure variation and photoluminescence (Pl) quenching is significant to achieve anti-thermal quenching (anti-TQ) phosphors. Herein, we unveil a universal principle governing switchable TQ and anti-TQ behaviors in zero-dimensional (0d) organic–inorganic hybrid manganese bromides. We observed an abnormal anti-TQ phenomenon when phosphor is excited in the valley of Pl excitation (PlE) spectrum (indirect excitation) while TQ phenomenon is observed when excited in the peak and shoulder positions of PlE. Our findings demonstrate that Pl intensity is influenced by two variable parameters: the effective Mn-ligand distance and the shortest Mn−Mn distance. These excitation-dependent TQ and anti-TQ behaviors originate from the relative changes in these distances, which modulate the competition between radiative and nonradiative recombination rates, as evidenced at the molecular level by molecular dynamics simulation. X-ray activated radioluminescence (Rl) also exhibits anti-TQ behavior, which is analogous to the indirect excitation of Pl evolution when excited at PlE valley. These insights bridge the gap between Pl and Rl properties in 0d manganese halides and offer potential avenues for developing advanced anti-TQ phosphors, efficient lEds, and high-performance scintillators.

关键词： anti-thermal quenching manganese bromides excited-state calculation molecular dynamics simulation X-ray scintillators

Progressive generative adversarial binary networks for music generation

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arXiv 2019年

作者： Oza, Manan Vaghela, Himanshu Srivastava, Kriti D. J. Sanghvi College of Engineering Department of Computer Engineering Mumbai India

Recent improvements in generative adversarial network (GAN) training techniques prove that progressively training a GAN drastically stabilizes the training and improves the quality of outputs produced. Adding layers after the previous ones have converged has proven to help in better overall convergence and stability of the model as well as reducing the training time by a sufficient amount. Thus we use this training technique to train the model progressively in the time and pitch domain i.e. starting from a very small time value and pitch range we gradually expand the matrix sizes until the end result is a completely trained model giving outputs having tensor sizes [4 (bar) × 96 (time steps) × 84 (pitch values) × 8 (tracks)]. As proven in previously proposed models deterministic binary neurons also help in improving the results. Thus we make use of a layer of deterministic binary neurons at the end of the generator to get binary valued outputs instead of fractional values existing between 0 and 1. Copyright © 2019, The Authors. All rights reserved.

关键词： Generative adversarial networks

Wide-angle giant photonic spin Hall effect

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Physical Review B 2022年第7期106卷 075409-075409页

作者： Zhihao Chen Yu Chen Yaodong Wu Xinxing Zhou Handong Sun Tony low Hongsheng Chen Xiao lin Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Synergetic Innovation Center for Quantum Effects and Applications School of Physics and Electronics Hunan Normal University Changsha 410081 China International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Engineering Technology Research Center for 2D Material Information Function Devices and Systems of Guangdong Province Institute of Microscale Optoelectronics Shenzhen University Shenzhen 518060 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Centre for Disruptive Photonic Technologies (CDPT) School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota 55455 USA Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China International Joint Innovation Center ZJU-UIUC Institute The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China

The photonic spin Hall effect is a manifestation of the spin-orbit interaction of light and can be measured by a transverse shift δ of photons with opposite spins. The precise measurement of transverse shifts can enable many spin-related applications, such as precise metrology and optical sensing. However, this transverse shift is generally small (i.e., δ/λ<10−1, where λ is the wavelength), which impedes its precise measurement. To date, proposals to generate a giant spin Hall effect (namely, with δ/λ>102) have severe limitations, particularly its occurrence only over a narrow angular cone (with a width of Δθ<1∘). Here we propose a universal scheme to realize the wide-angle giant photonic spin Hall effect with Δθ>70∘ by exploiting the interface between free space and uniaxial epsilon-near-zero media. The underlying mechanism is ascribed to the almost-perfect polarization splitting between s and p polarized waves at the designed interface. Remarkably, this almost-perfect polarization splitting does not resort to the interference effect and is insensitive to the incident angle, which then gives rise to the wide-angle giant photonic spin Hall effect.

关键词： light-matter interaction Photonics Spin Hall effect Spin-orbit coupling

Effect of Annealing on the Structural, Optical Properties of Barium Titanate Nanoparticles and its Impact on Second Harmonic Generation

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SSRN

SSRN 2023年

作者： Mayandi, Jeyanthinath Mahalakshmi, Selvaraj Venkatesan, Ragavendran Asokan, Vijay Shankar Alam, Mohammed Mujahid Pearce, Joshua M. Venkatachalapathy, Vishnukanthan Department of Physics R.D. Govt. Arts College Tamilnadu Sivaganga630561 India Department of Material Science School of Chemistry Madurai Kamaraj University Tamilnadu Madurai625 021 India Chalmers University of Technology Sweden King Khalid University Abha61413 Saudi Arabia Department of Chemistry College of Science King Khalid University Abha61413 Saudi Arabia Department of Electrical and Computer Engineering Western University LondonON Canada Department of Physics Centre for Materials Science and Nanotechnology University of Oslo P.O Box 1048 Blindern OsloNO-0316 Norway Department of Materials Science National Research Nuclear University "MEPhI" 31 Kashirskoe sh Moscow Russia

In this report, barium titanate (BaTiO3) nanoparticles were synthesized at 200°C by sol-gel hydrothermal process and annealed at five different temperatures from 100-500°C. The sample synthesized at 200°C exhibited distorted cubic structure with a mishmash of tetragonal and orthorhombic phase which was analyzed from XRd studies. To further empathize its characteristic features, the samples were annealed for various temperatures. The grain size and lattice parameters of the annealed samples were calculated from the XRd spectrum. When the annealing temperature increases a non-uniformity in the grain size and lattice parameters was observed in the BaTiO3 nanoparticles. XRd also reveals that there was phase transition from distorted cubic to tetragonal phase and this phase was stable for all the annealed samples. The morphology of annealed barium titanate nanoparticles was analyzed by scanning electron microscopy (SEM) and transmission electron microscopy (TEM) which specifies the presence of spheres and rods. Optical studies were carried out by UV-Vis, Photoluminescence and Raman Spectroscopy. The change in non-linear optical (NlO) activity of BaTiO3 nanoparticles were studied using second harmonic generation (SHG). Samples that possess phase distortion produced SHG as it lacks center of symmetry. Remarkably, the annealing process created an effective atmosphere for the formation of single crystalline tetragonal phase within 300-500°C, which is normally possible only above 800°C. © 2023, The Authors. All rights reserved.

关键词： Raman spectroscopy

An Efficient Clustering Approach utilizing an Advanced Particle Swarm Optimization Variant

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An Efficient Clustering Approach utilizing an Advanced Parti...

International Conference on Computing Communication Control and Automation (ICCUBEA)

作者： Vishakha A. Metre Pramod B. deshmukh Dept.of Computer Engineering D.Y.Patil College of Engineering Pune India

ISBN: (数字)9781728140421

ISBN: (纸本)9781728140438

Clustering plays an important role in almost every field of real time applications and whenever optimization is the core concern, good quality clustering is crucial. different optimization techniques are proposed with respect to clustering and find its applications in areas like Image Processing and Pattern Recognition, Finance, Communication Networks, Biological Sequences, etc. This paper uses a superior variant of Particle Swarm Optimization (PSO) algorithm based on one of the density based clustering methodologies i.e. Subtractive Clustering (SC). The implementation of the algorithm proved its excellence in numerical and text data clustering by addressing the several issues those were came across in the literature survey of PSO based clustering techniques. The algorithm is intended to cluster image datasets for fine classification of images. The performance of the algorithm is evaluated against K-means, K-PSO, Subtractive-PSO over synthesized and MRI image datasets with respect to quantization error, intra and inter cluster distances. The obtained results showed a better or comparable performance.

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Optimizing for periodicity: a model-independent approach to flux crosstalk calibration for superconducting circuits

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arXiv 2022年

作者： dai, X. Trappen, R. Yang, R. disseler, S.M. Basham, J.I. Gibson, J. Melville, A.J. Niedzielski, B.M. das, R. Kim, d.K. Yoder, J.l. Weber, S.J. Hirjibehedin, C.F. lidar, d.A. lupascu, A. Institute for Quantum Computing Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Lincoln Laboratory Massachusetts Institute of Technology LexingtonMA02421 United States Department of Physics and Astronomy Dartmouth College HanoverNH03755 United States Departments of Electrical & Computer Engineering Chemistry and Physics Center for Quantum Information Science & Technology University of Southern California Los AngelesCA90089 United States Waterloo Institute for Nanotechnology University of Waterloo WaterlooONN2L 3G1 Canada

Flux tunability is an important engineering resource for superconducting circuits. large-scale quantum computers based on flux-tunable superconducting circuits face the problem of flux crosstalk, which needs to be accurately calibrated to realize high-fidelity quantum operations. Typical calibration methods either assume that circuit elements can be effectively decoupled and simple models can be applied, or require a large amount of data. Such methods become ineffective as the system size increases and circuit interactions become stronger. Here we propose a new method for calibrating flux crosstalk, which is independent of the underlying circuit model. Using the fundamental property that superconducting circuits respond periodically to external fluxes, crosstalk calibration of N flux channels can be treated as N independent optimization problems, with the objective functions being the periodicity of a measured signal depending on the compensation parameters. We demonstrate this method on a small-scale quantum annealing circuit based on superconducting flux qubits, achieving comparable accuracy with previous methods. We also show that the objective function usually has a nearly convex landscape, allowing efficient optimization. Copyright © 2022, The Authors. All rights reserved.

关键词： Crosstalk

Semiconductor Polymer Carbon Composite Coated Fabric for Warm Beds in Hospital

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Adsorption Science & Technology 2022年 2022卷

作者： G. Sasikala V. Mahalakshmi K. Srihari Raja loganathan R. Jaikumar ArunSekar Rajasekaran V. K. Shanmuganathan K. Santhosh Sama Sumanth Venkatesa Prabhu Sundramurthy Department of Electronics and Communications Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology 400 Feet Outer Ring Road Avadi Chennai 600062 Tamilnadu India Department of Computer Science Engineering SNS College of Technology Coimbatore India Department of Electronics and Communication Engineering Tagore Engineering College Chennai India Department of Electronics and Communication Engineering KGiSL Institute of Technology Coimbatore Tamilnadu India Department of Electronics and Communication Engineering GMR Institute of Technology Rajam Andhra Pradesh India Mechanical Engineering J.N.N Institute of Engineering Kannigaipair India Center of Excellence for Bioprocess and Biotechnology Department of Chemical Engineering College of Biological and Chemical Engineering Addis Ababa Science and Technology University Ethiopia

Patients suffering from diseases that occur due to spreading of virus like fever and cold will have decrease in body temperature. They feel cold in the normal body and room temperature conditions. For the comfort of these patients, an electric under blanket is designed which warms up the patient to maintain the normal body temperature. The heated under body supports include a heater assembly and a layer of compressible support material. The heater assembly includes a flexible heating element, multiplex polyester, and a temperature sensor. The flexible heater element may include a fabric, which coated with a conductive or semiconductive polymer. The heated under body support may also include a water resistant shell, whereas it may encase the heater assembly and the compressible support material. The material used for outer shell and inner heating element has simulated in COMSOl tool for analyzing the heat transfer between them. The proto type model has simulated in PROTEUS software, which includes Arduino UNO and thermistor. This analysis will give the result whether the material can be used as the under garment for warming the patient.

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