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Control of Magnetic Skyrmions in an Exchange Biased van der Waals Ferromagnet

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2023年第1期29卷 1710-1711页

作者： McCray, Arthur R C Lebedev, Dmitry Arpaci, Sevdenur Te Velthuis, Suzanne G E Lopez-Dominguez, Victor Amiri, Pedram Khalili Hersam, Mark C. Petford-Long, Amanda K. Phatak, Charudatta Materials Science Division Argonne National Laboratory Lemont IL United States Applied Physics Program Northwestern University Evanston IL United States Department of Materials Science and Engineering Northwestern University Evanston IL United States Department of Electrical and Computer Engineering Northwestern University Evanston IL United States

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Electrically tunable planar liquid-crystal singlets for simultaneous spectrometry and imaging

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Light(science & Applications) 2024年第11期13卷 2589-2598页

作者： Zhou Zhou Yiheng Zhang Yingxin Xie Tian Huang Zile Li Peng Chen Yan-qing Lu Shaohua Yu Shuang Zhang Guoxing Zheng Electronic Information School and School of MicroelectronicsWuhan UniversityWuhan 430072China NUS Graduate School National University of SingaporeSingapore 119077Singapore Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and Manipulationand College of Engineering and Applied SciencesNanjing UniversityNanjing 210093China Peng Cheng Laboratory Shenzhen 518055China New Cornerstone Science Laboratory Department of PhysicsUniversity of Hong KongHong KongChina Department of Electrical and Electronic Engineering University of Hong KongHong KongChina Wuhan Institute of Quantum Technology Wuhan 430206China

Conventional hyperspectral cameras cascade lenses and spectrometers to acquire the spectral datacube,which forms the fundamental framework for hyperspectral ***,this cascading framework involves tradeoffs among spectral and imaging performances when the system is driven toward ***,we propose a spectral singlet lens that unifies optical imaging and computational spectrometry functions,enabling the creation of minimalist,miniaturized and high-performance hyperspectral *** a paradigm,we capitalize on planar liquid crystal optics to implement the proposed framework,with each liquid-crystal unit cell acting as both phase modulator and electrically tunable spectral *** with various targets show that the resulting millimeter-scale hyperspectral camera exhibits both high spectral fidelity(>95%)and high spatial resolutions(~1.7 times the diffraction limit).The proposed“two-in-one”framework can resolve the conflicts between spectral and imaging resolutions,which paves a practical pathway for advancing hyperspectral imaging systems toward miniaturization and portable applications.

关键词： crystal planar singlet

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Ensemble visual content based search and retrieval for natural scene images

Recent Advances in Computer Science and Communications

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Recent Advances in computer science and Communications 2021年第2期14卷 580-592页

作者： Singh, Pushpendra Hrisheekesha, P.N. Singh, Vinai K. Department of Computer Science & Engineering Inderprastha Engineering College Ghaziabad UP India Department of Applied Science Chandigarh Group of Colleges Landran Chandigarh Punjab India Inderprastha Engineering College Ghaziabad UP India

Background: Content Based Image Retrieval (CBIR) is one of the fields for information retrieval where similar images are retrieved from database based on the various image descriptive parameters. The image descriptor vector is used by machine learning based systems to store, learn and template matching. These feature descriptor vectors locally or globally demonstrate the visual content present in an image using texture, colour, shape, and other information. Objective: The main vision of this paper is to categorize and evaluate those algorithms, which were proposed in the interval of last 10 years. In addition, experiment is performed using a hybrid content descriptors methodology that helps to gain the significant results as compared with state-of-art algorithms. Methods: In past, several algorithms were proposed to fetch the variety of contents from an image based on which the image is retrieved from database. But, the precision and recall for the gained results using single content descriptor is not significant. The proposed system architecture uses the hybrid ensemble feature set for image matching. The hybrid parameters include globally and locally defined feature extraction methodologies. Results: The hybrid methodology decreases the error rate and improves the precision and recall for large natural scene images dataset having more than 20 classes. The overall combination will provide almost 97% accurate results which is better than the existing literature results. Conclusion: In conclusion the experimentation result suggests that the use of the local feature extraction mechanism is better when compared with the global feature extraction methodology. © 2021 Bentham science Publishers.

关键词： Support vector machines

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An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT

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Digital Communications and Networks 2022年第6期8卷 900-910页

作者： M.S.Mekala Gautam Srivastava Ju H.Park Ho-Youl Jung Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38544South Korea RLRC LAb for Autonomous Vehicle Parts and Materials Innovation Yeungnam UniversityGyeongsan38544South Korea Department of Math and Computer Science Brandon UniversityBrandonCanada Department of Electrical Engineering Yeungnam UniversityGyeongsanSouth Korea Research Centre for Interneural Computing China Medical UniversityTaichungTaiwanChina

Social Edge Service(SES)is an emerging mechanism in the Social Internet of Things(SIoT)orchestration for effective user-centric reliable communication and *** services are affected by active and/or passive attacks such as replay attacks,message tampering because of sharing the same spectrum,as well as inadequate trust measurement methods among intelligent devices(roadside units,mobile edge devices,servers)during computing and *** issues lead to computation and communication overhead of servers and computation *** address this issue,we propose the HybridgrAph-Deep-learning(HAD)approach in two stages for secure communication and ***,the Adaptive Trust Weight(ATW)model with relation-based feedback fusion analysis to estimate the fitness-priority of every node based on directed graph theory to detect malicious nodes and reduce computation and communication ***,a Quotient User-centric Coeval-Learning(QUCL)mechanism to formulate secure channel selection,and Nash equilibrium method for optimizing the communication to share data over edge *** simulation results confirm that our proposed approach has achieved effective communication and computation performance,and enhanced Social Edge Services(SES)reliability than state-of-the-art approaches.

关键词： Edge computing Adaptive trust weight(ATW)model Quotient user-centric coeval-learning(QUCL)mechanism Deep learning Service reliability

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An Almost Singularly Optimal Asynchronous Distributed MST Algorithm 36

An Almost Singularly Optimal Asynchronous Distributed MST Al...

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36th International Symposium on Distributed Computing, DISC 2022

作者： Dufoulon, Fabien Kutten, Shay Moses, William K. Pandurangan, Gopal Peleg, David Department of Computer Science University of Houston HoustonTX United States Faculty of Industrial Engineering and Management Technion - Israel Institute of Technology Haifa Israel Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot Israel

ISBN: (纸本)9783959772556

A singularly (near) optimal distributed algorithm is one that is (near) optimal in two criteria, namely, its time and message complexities. For synchronous CONGEST networks, such algorithms are known for fundamental distributed computing problems such as leader election [Kutten et al., JACM 2015] and Minimum Spanning Tree (MST) construction [Pandurangan et al., STOC 2017, Elkin, PODC 2017]. However, it is open whether a singularly (near) optimal bound can be obtained for the MST construction problem in general asynchronous CONGEST networks. In this paper, we present a randomized distributed MST algorithm that, with high probability, computes an MST in asynchronous CONGEST networks and takes Õ(D1+Ε + √n) time and Õ(m) messages1, where n is the number of nodes, m the number of edges, D is the diameter of the network, and Ε > 0 is an arbitrarily small constant (both time and message bounds hold with high probability). Since (Equation presented)(D + √n) and Ω(m) are respective time and message lower bounds for distributed MST construction in the standard KT0 model, our algorithm is message optimal (up to a polylog(n) factor) and almost time optimal (except for a DΕ factor). Our result answers an open question raised in Mashregi and King [DISC 2019] by giving the first known asynchronous MST algorithm that has sublinear time (for all D = O(n1-Ε)) and uses Õ(m) messages. Using a result of Mashregi and King [DISC 2019], this also yields the first asynchronous MST algorithm that is sublinear in both time and messages in the KT1 CONGEST model. A key tool in our algorithm is the construction of a low diameter rooted spanning tree in asynchronous CONGEST that has depth Õ(D1+Ε) (for an arbitrarily small constant Ε > 0) in Õ(D1+Ε) time and Õ(m) messages. To the best of our knowledge, this is the first such construction that is almost singularly optimal in the asynchronous setting. This tree construction may be of independent interest as it can also be used for efficiently perfor

关键词： Distributed computer systems

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Review of Fundamental, Security, and Privacy in Metaverse

Review of Fundamental, Security, and Privacy in Metaverse

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2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Al-Nowfleh, Nadia Mohammed Al-Dmour, Nidal A. Hamadi, Hussam Al Taher, Fatma Ghazal, Taher M. Mutah University Department of Computer Engineering Al-Karak Jordan College of Engineering and It University of Dubai Dubai United Arab Emirates College of Technological Innovation Zayed University Dubai United Arab Emirates Information Science and Technology Selangor Bangi Malaysia Applied Science Private University Applied Science Research Center Amman Jordan

ISBN: (纸本)9798350304602

The Metaverse, a living environment, and cyberspace are used to virtualize and digitize the real world. It utilizes a variety of existing technologies to map the physical world and potentially realms beyond it. Future forecasts imply that Metaverse will be used in a variety of applications. The creation of numerous related technologies serves as the foundation for the Metaverse's upkeep. It follows that the security threats associated with the growth of the Metaverse may be increasingly obvious and complicated. Metaverse is the name of the most recent Internet-based platform. In order to establish a completely engross extremely spatiotemporal, self-sustaining common virtual world that allows individuals to play, work, and socialize, the Metaverse-a concept for the future version of the Internet-was developed. In order to provide security for the metaverse, it may be difficult given its inherent characteristics, such as sensory reality, hyper-spatial duration, long-term viability and variety. We present in this paper some of the technologies used in the Metaverse as well as some potential security and privacy issues. © 2023 IEEE.

关键词： Virtual reality

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A Sound and Complete Tableau System for Fuzzy Halpern and Shoham’s Interval Temporal Logic 30

A Sound and Complete Tableau System for Fuzzy Halpern and Sh...

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30th International Symposium on Temporal Representation and Reasoning, TIME 2023

作者： Conradie, Willem Monego, Riccardo Muñoz-Velasco, Emilio Sciavicco, Guido Stan, Ionel Eduard School of Mathematics University of the Witwatersrand Johannisburg South Africa Department of Mathematics and Computer Science University of Ferrara Italy Department of Applied Mathematics University of Málaga Spain Faculty of Engineering Free University of Bozen-Bolzano Italy

ISBN: (纸本)9783959772983

Interval temporal logic plays a critical role in various applications, including planning, scheduling, and formal verification;recently, interval temporal logic has also been successfully applied to learning from temporal data. Halpern and Shoham’s interval temporal logic, in particular, stands out as a very intuitive, yet expressive, interval-based formalism. To address real-world scenarios involving uncertainty and imprecision, Halpern and Shoham’s logic has been recently generalized to the fuzzy (many-valued) case. The resulting language capitalizes on many-valued modal logics, allowing for a range of truth values that reflect multiple expert perspectives, but inherits the bad computational behaviour of its crisp counterpart. In this work, we investigate a sound and complete tableau system for fuzzy Halpern and Shoham’s logic, which, although possibly non-terminating, offers a semi-decision procedure for the finite case. 2012 ACM Subject Classification Theory of computation → Theory and algorithms for application domains © Willem Conradie, Riccardo Monego, Emilio Muñoz-Velasco, Guido Sciavicco, and Ionel Eduard Stan

关键词： Many valued logics

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Multimodal Learning in Image Processing

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computers, Materials & Continua 2025年第2期82卷 3615-3618页

作者： Zhixin Chen Gautam Srivastava Shuai Liu School of Educational Science Hunan Normal UniversityChangsha410081China Institute of Interdisciplinary Studies Hunan Normal UniversityChangsha410081China Department of Math and Computer Science Brandon UniversityBrandonMB R7A 6A9Canada Research Centre for Interneural Computing China Medical UniversityTaichung406040Taiwan Institute of Engineering and Technology Chitkara UniversityChandigarh140401India

1 Introduction onMultimodal Learning in Image Processing IP(Image processing),as a classical research domain in computer application technology,has been researched for *** is one of the most important research directions in computer vision,which is the basis for many current hotspots such as intelligent transportation/education/industry,*** image processing is the strongest link for AI(artificial intelligence)applying to real world application,it has been a challenging research field with the development of AI,from DNN(deep convolutional network),Attention/LSTM(long-short term memory),to Transformer/Diffusion/Mamba based GAI(generated AI)models,e.g.,GPT and Sora[1].Today,the description ability of single-model feature limits the performance of image *** comprehensive description of the image is required to match the computational performance of current large scale models.

关键词： Image computer LSTM

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EcoCardio: Affordable IoT-Powered Portable ECG Monitoring for Seamless Health Insights 4

EcoCardio: Affordable IoT-Powered Portable ECG Monitoring fo...

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4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Mohandas, R. Patan, Muzeeb Khan Zeeshan, G Ahmed Kumar, B. Siva Rajeshwari, M. Raja Balaram, Allam Chennai Institute of Technology Department of Ece Chennai India College of Engineering and Technology University of Technology and Applied Sciences Department of Eee Muscat Oman Moinabad Telangana State Ranga Reddy India Department of Management Studies AP India DR.M.G.R Educational and research university Chennai India Mlr Institute of Technology Department of Computer Science and Engineering Hyderabad500043 India

ISBN: (纸本)9798331529635

Electrocardiograph (ECG) monitoring systems are crucial tools in diagnosing and monitoring a wide range of heart conditions, including arrhythmias and myocardial infarctions. Traditional ECG systems, while effective, often require patients to be tethered to bulky equipment, limiting their mobility and comfort. The advent of IoT technology has opened new possibilities for enhancing the functionality and accessibility of ECG monitoring systems. This system utilizes core components such as the AD8232 ECG sensor, ESP32 Arduino module, EEPROM for data storage, an LCD for real-time display, and the Blynk App for remote monitoring. Key performance metrics include a high accuracy rate of 98.1%, a processing time of 200 ms, and a data transmission latency of 100 ms, ensuring reliable and timely monitoring. By leveraging Wi-Fi and Bluetooth connectivity, the system provides real-time data transmission to cloud-based platforms, facilitating immediate access and analysis by healthcare providers. This IoT-enabled ECG monitoring system significantly enhances patient care, enabling early detection of cardiac anomalies and reducing the need for frequent hospital visits. © 2024 IEEE.

关键词： Remote patient monitoring

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Development and Analysis of a Versatile Dataset of Speech, Real and Synthesized, of Arabic Learners 3

Development and Analysis of a Versatile Dataset of Speech, R...

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3rd International Conference on Computing and Information Technology, ICCIT 2023

作者： Alsulaiman, Mansour Algabri, Mohammed mathkour, Hassan Bencherif, Mohamed A. Muhammad, Ghulam Al-Gahtani, Saad Faisal, Mohammed Mekhtiche, Mohamed Amine Alfakih, Taha King Saud University College of Computer and Information Sciences Computer Engineering Department Riyadh Saudi Arabia AlMaarefa University College of Applied Sciences Computer Science and Information Systems Department Riyadh Saudi Arabia King Saud University College of Computer and Information Sciences Computer Science Department Riyadh Saudi Arabia Riyadh Saudi Arabia King Saud University Arabic Language Institute Saudi Arabia Center of Ai & Robotics Kuwait

ISBN: (纸本)9798350321487

computer-Aided Pronunciation Training (CAPT) systems are gaining popularity recently due to the advancements in deep neural networks (DNN) and machine learning and the availability of databases of speech of language learners. Unfortunately, research in Arabic CAPT systems suffer from the lack of CAPT datasets compared to other languages. In this paper, we present the details of and the ideas used in the development of a versatile dataset of speech, real and synthesized, of Arabic Learners. To develop the dataset, we utilized an existing Arabic speech corpus, King Saud University Speech Database (KSU-SD). KSU-SD's main application was a speaker recognition system, but it was designed to be useful in other applications such as CAPT systems. KSU-SD includes a large number of speakers from diverse nationalities (Saudis, Arabs, and Non-Arabs). KSU-SD contains the recording of about 60 non-native speakers from more than 20 nationalities, hence we selected it to build the non-native Arabic-CAPT corpus. The developed corpus consists of transcribed, segmented, and annotated speech, which makes it suitable for building Arabic CAPT systems. In addition to presenting the details of developing the dataset, we also present an analysis of the text and speech errors of the dataset. The dataset was verified by many CAPT systems. © 2023 IEEE.

关键词： Deep neural networks

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