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arXiv 2024年

作者： Kang, Zheng Wu, Mei Feng, Yiyu Li, Jiahao Zhang, Jieming Tian, Haiyi Wang, Ancheng Wu, Yunkai Wang, Xu College of Big Data and Information Engineering Guizhou University Guizhou Guiyang550025 China Department of Mathematics The Chinese University of Hong Kong 999077 Hong Kong Key Laboratory of Advanced Manufacturing Technology Ministry of Education Guizhou Guiyang550025 China

In light of recent advancements in energy technology, there is an urgent need for lead-free barium titanate (BTO) -based materials that exhibit remarkable ferroelectric and photoelectric properties. Notwithstanding the considerable experimental advances, a theoretical understanding from the electron and atomic perspectives remains elusive. This study employs the generalized gradient approximation plane wave pseudopotential technique to investigate the structural, electronic, ferroelectric, and optical properties of (Zn, Co) co-doped BaTiO3 (BZCT) based on density functional theory. The objective is to ascertain the extent of performance enhancement and the underlying mechanism of (Zn, Co) co-doping on barium titanate. Our findings reveal that the incorporation of (Zn, Co) into the BaTiO3 lattice significantly augments the tetragonality of the unit cell. Moreover, the ferroelectric properties are enhanced, with a spontaneous polarization that is stronger than that observed in pure BTO, exhibiting excellent ferroelectricity. The results of the Hubbard+U algorithm indicate that the band gap of BZCT is reduced. Concurrently, the enhanced ferroelectric polarization increases the built-in electric field of the material, facilitating the separation of photogenerated carriers and improving optical absorption. Consequently, the optical absorption ability and photorefractive ability are effectively enhanced. BZCT, with its high spontaneous polarization and outstanding optical properties, can serve as a promising candidate material in the fields of energy storage and photovoltaics. © 2024, CC BY-NC-ND.

关键词： Ferroelectricity

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Super-resolution technology to simultaneously improve optical & digital resolution of optical coherence tomography via deep learning

Super-resolution technology to simultaneously improve optica...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Shengting Cao Xinwen Yao Nischal Koirala Brigitta Brott Silvio Litovsky Yuye Ling Yu Gan Electrical and Computer Engineering The University of Alabama Tuscaloosa USA Institute for Health Technologies Nanyang Technological University Singapore School of Medicine The University of Alabama at Birmingham Birmingham USA John Hopcroft Center for Computer Science Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

optical coherence tomography (OCT) has stimulated a wide range of medical image-based diagnosis and treatment. In cardiac imaging, OCT has been used in assessing plaques before and after stenting. While needed in many scenarios, high resolution comes at the costs of demanding optical design and data storage/transmission. In OCT, there are two types of resolutions to characterize image quality: optical and digital resolutions. Although multiple existing works have heavily emphasized on improving the digital resolution, the studies on improving optical resolution or both resolutions remain scarce. In this paper, we focus on improving both resolutions. In particular, we investigate a deep learning method to address the problem of generating a high-resolution (HR) OCT image from a low optical and low digital resolution (L 2 R) image. To this end, we have modified the existing super-resolution generative adversarial network (SR-GAN) for OCT image reconstruction. Experimental results from the human coronary OCT images have demonstrated that the reconstructed images from highly compressed data could achieve high structural similarity and accuracy in comparison with the HR images. Besides, our method has obtained better denoising performance than the block-matching and 3D filtering (BM3D) and Denoising Convolutional Neural Networks (DnCNN) denoising method.

关键词： optical imaging Spatial resolution Image reconstruction Biomedical optical imaging Noise reduction Signal resolution

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Large-area laser nano-texturing with user-defined patterns

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JOURNAL OF MICROMECHANICS AND MICROENGINEERING 2009年第5期19卷

作者： Li, L. Guo, W. Wang, Z. B. Liu, Z. Whitehead, D. Luk'yanchuk, B. Univ Manchester Laser Proc Res Ctr Sch Mech Aerosp & Civil Engn Manchester M60 1QD Lancs England Univ Manchester Ctr Corros & Protect Sch Mat Manchester M60 1QD Lancs England Data Storage Inst Singapore 117608 Singapore

Writing nano-sized features less than the diffraction limit of the lasers efficiently over a large area requires special technology development. This paper reports the use of a self-assembled particle lens array with near-field enhancement effect to write millions of nano-sized user-defined features, e. g. English letters, lines, curves, simultaneously by angular beam scanning. About a 5 mm x 5 mm area can be written with a single shot of a laser beam or few scans for up to 100 million identical features of nano or sub-micro scales. With the help of certain environmental conditions, such as the use of a suitable chemical solution in conjunction with the particle lens array, the characteristic of the features produced can be further controlled, including the generation of reversed (e. g. pits become hills and grooves become walls) features of laser-written patterns. The technical challenges, experimental findings and theoretical analysis/simulation are presented.

关键词： Laser beams

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Interactive Multitask Credit Card technology

Interactive Multitask Credit Card Technology

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IEEE International conference on Portable Information Devices, PORTABLE

作者： Marc Rippen Harry Braunstein Craig Nelson Carl Schuck Philippe Guillaud Philippe Blott Concurrent Technologies Corporation Largo FL USA Innovative Card Technologies Los Angeles CA USA NCryptone Boulogne France

The convergence of several technologies has allowed the electronics industry to introduce the next generation of interactive multi-tasking financial transaction cards, with embedded power and processing capabilities. The credit card started as a magnetized data plate carrying the owners name, the account number, and the store(s) where it could be used. Several generations of credit cards have come and gone since then. The next generation of credit card-smart cards-incorporate micro processing and data storage capability and provide enhanced security for financial transactions. Smart Cards have not yet gained significant market share in the United States (U.S.). This lack of market penetration is due, in part, for the need to provide power and communications from the card reader to access the smart chip, as well as the perceived lack of apparent value added, given the cost to upgrade an extensive network of card readers to facilitate that functionality. This paper will deal with the next generation credit card. advances in robust micro-circuitry, nanotechnology, displays, speakers, switches, and battery technology have led to the development of credit/debit cards with significantly enhanced capabilities. By introducing an embedded power source, a credit card can be used to provide novel modes of communication, such as the ability to play audio files or produce complex audio encrypted data and validate the authenticity of the transaction.

关键词： Credit cards Electronics industry Memory data security Smart cards Cost function Robustness Nanotechnology Auditory displays Switches

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A Novel AI-Driven Model for Reversible Image Transformation by Optimized Secure data Embedding in Cloud Networks

A Novel AI-Driven Model for Reversible Image Transformation ...

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International conference on Science technology Engineering and Management (ICONSTEM)

作者： CN Prasad R Suchithra Department of Computer Science Chirashree Institute of Research & Development (CIRD) University of Mysore Karnataka India Presidency College Bengaluru Karnataka India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

This research article presents a pioneering approach to address the critical challenge of secure reversible data embedding in encrypted images within cloud storage networks. The proposed concept centers around the development of an advanced artificial intelligence (AI)-based optimization algorithm designed to identify high-capacity predictors for efficient data embedding, all while preserving the integrity of encrypted images. Our algorithm begins by creating trial data, embedding it into encrypted training images using a prediction error expansion technique. The process is repeated across various predictors to determine the one yielding the maximum embedding rate. The chosen predictor becomes the label for training a Convolutional Neural Network (CNN). Unlike conventional methods, our algorithm leverages the trained CNN to predict the optimal embedding predictor for a given test image, eliminating the need for the resource-intensive trial data embedding during testing. The evaluation on benchmark datasets, namely BossBase and BOWS-2, demonstrates the algorithm's efficacy This research significantly advances the field of reversible data embedding by introducing a state-of-the-art AI-optimized algorithm, showcasing its potential to enhance the security and efficiency of data embedding in cloud network environments. The concept's innovation lies in its ability to achieve robust performance without compromising the quality of encrypted images, thereby contributing to the ongoing discourse on secure and efficient data transformation in cloud-based platforms.

关键词： Training Cloud computing PSNR Neural networks Prediction algorithms Cryptography Convolutional neural networks

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Sub resonance analysis of asymmetric actuators of optical disk drives

Sub resonance analysis of asymmetric actuators of optical di...

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International conference on Magnetics (INTERMAG)

作者： K. Park Jin Kyu Seo Changhwan Choi Semyung Wang Department of Mechatronics Gwangju Institute of Science and Technology Kwangju South Korea

The advent of a desktop and notebook of the personal computer necessities the disk drive to he manufactured more smaller and thinner. In order to employ the compact disk(CD] driver or digital video display(DVD) driver for the notebook size personal computer data storage devices, It 1s required to shorten the disk driver's height. Figure l(a) shows a configuration proposed to reduce the height of the conventional disk drive as shown in Fig. l(b). The former is called as an asymmetric actuator while the latter is called as a symmetric actuator for convenience. The distance between the reflective mirror and objective minor is reduced in the asymmetric actuator.

关键词： Resonance Actuators Disk drives Torque Coils Magnetic analysis Magnetic circuits Microcomputers Equations Analytical models

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Adventures with clustered filesystems

Adventures with clustered filesystems

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International conference on Communications, Computing and Control Applications (CCCA)

作者： Giuseppe Bruno Roberto Stok Bank of Italy Information technology Support Unit Rome Italy

Current trends in High Performance Computing (HPC) platforms suggest the adoption of the distributed memory paradigm by employing multiple machines for peak floating point performances. This trend must cope with the issue of reading and writing back data on clustered file systems providing shared storage. Clustered file system are usually implemented on a storage Area Network (SAN) equipped with an optical fiber interconnect with the Computing nodes. Available clustered files systems provide performance benchmarks not always suited to cover all the needs of the users community. Besides providing a basic description of the most widespread clustered filesystems, our main goal is to establish a portable and easy to use benchmark to gauge the clustered file system performances under a typical I/O load for data arranged into a tree composed by thousands of directory i-nodes. A typical example is provided by a graph based statistical database. Results are quite interesting because it is shown that even a 16 nodes symmetric clustered file systems like GFS2 and OCFS2 show operation times much higher than those provided by the most resource consuming Lustre file system. Tables like the ones we show are very useful for providing quantitative insights aimed at driving adoption choices. In our infrastructure, the adoption of an asymmetric file system like Lustre entails a price of 4 computing nodes that are now devoted as centralized file system Metadata servers and other Lustre related services.

关键词： Benchmark testing File systems Servers storage area networks Radiation detectors Linux databases

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optical color image encryption based on Hartley transform and double random phase encoding system

Optical color image encryption based on Hartley transform an...

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International conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： K Karuna Kesavan M Ratheesh Kumar Centre for Computer Science and Information Technology University of Calicut Thenhipalam Kerala India Department of Electronics & Communication Engineering MES College of Engineering Kuttipuram Kerala India

This paper reports a new method to realize the color image encryption based on Hartley transform and double random phase encryption technique. In the proposed method a color image is decomposed in to its Red, Green and Blue components. Each color is encrypted independently using double random phase encoding system and Hartley transform. Here the random phase masks and the Hartley transforms are the encryption parameters. It is shown that the decrypted image matches with the input image only when the correct keys are used during the process of decryption. To check the robustness of the technique, mean square error (MSE) between the decrypted and original image has been calculated. The technique can be realized by optical means and hence is useful for optical networks and holographic data storage systems for information security.

关键词： Transforms Encryption optical imaging Adaptive optics Holographic optical components Holography

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Physical Layer Network Isolation in Multi-tenant Clouds

Physical Layer Network Isolation in Multi-tenant Clouds

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International conference on Distributed Computing Systems Workshop

作者： Jack Brassil HP Laboratories Princeton NJ USA

The isolation capabilities provided by conventional enterprise data center technology are inadequate for many clients of multi-tenant storage or compute clouds. To address this deficiency we propose a cloud architecture which relies on strategic deployment of physical layer network isolation. We show how improved client isolation can be realized with 'color gapping' using existing Coarse Wavelength Division Multiplexing technologies, and demonstrate how in some settings isolation can be visually verified by clients. To address the challenging problem of isolating multiple clients' Virtual Machines within a single physical server, we introduce a novel application of distributed bridging based on Virtual Ethernet Port Aggregators.

关键词： Clouds optical switches Servers Transceivers Color Software Physical layer

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Efficient and Secure File Transfer in Cloud Through Double Encryption Using AES and RSA Algorithm

Efficient and Secure File Transfer in Cloud Through Double E...

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Emerging Smart Computing and Informatics (ESCI), conference on

作者： K. Jaspin Shirley Selvan S Sahana G Thanmai St.Joseph’s Institute of Technology Chennai Tamil Nadu India St. Joseph’s College of Engineering Chennai Tamil Nadu India

ISBN: (数字)9781728185194

ISBN: (纸本)9781728185200

With recent advances in Cloud computing, information is being contracted by cloud services. Dropbox and Google Drive provide cloud services to users with low-cost storage. Here we present a protection method by encrypting and decrypting the files which offer an enhanced level of protection. To encrypt the file that we upload in cloud, we make use of Double encryption technique. The file is being encrypted twice using the two algorithms one after the other. The file is first encrypted using AES algorithm and then by RSA algorithm. The corresponding keys are being generated during the execution of the algorithm. This technique increases the security level. The various parameters that we have considered here are security level, speed, data confidentiality, data integrity and cipher text size. Our method is more efficient as it satisfies all the parameters where the conventional methods failed to do so. The cloud we used to store the content of the file is DropBox, which is in the encrypted format using AES and RSA algorithms.

关键词： Cloud computing data privacy Ciphers data integrity Encryption Cryptography Informatics

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