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iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique

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Multimedia Tools and Applications 2024年第39期83卷 86359-86381页

作者： S, Sreedhar Kumar Ahmed, Syed Thouheed Fathima, Afifa Salsabil Mathivanan, Sandeep Kumar Jayagopal, Prabhu Saif, Abdu Gupta, Sachin Kumar Sinha, Garima Department of Computer Science and Engineering School of Engineering and Technology CMR University Karnataka Bengaluru India Department of Electrical Engineering Indian Institute of Technology Hyderabad Telangana Kandi India School of Computer Science and Engineering REVA University Bangalore India School of Computer Science and Engineering Galgotias University Uttar Pradesh Greater Noida203201 India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Communication and Computer Engineering Faculty of Engineering and IT Taiz University Taiz Yemen Katra India Department of Computer Science Engineering Jain University Bangalore India

Unstructured Numerical Image Dataset Separation (UNIDS) method employing an enhanced unsupervised clustering technique. The objective is to delineate an optimal number of distinct groups within the input grayscale (G-S) image content, utilizing the improved limited iteration agglomerative clustering (iLIAC) clustering technique for the separation and enhancement of picture elements. The UNIDS method is structured into two primary stages: partitioning and validation. In the partitioning stage, the UNIDS method identifies an appropriate number of discrete clusters within the grayscale image using the iLIAC technique, eliminating the need for predetermined procedures. Subsequently, the method evaluates the similarity and deviation among data elements within the same group in the resultant image dataset. Additionally, it assesses the proximity and inters severance among clusters in the outcome of the image dataset through the partitioning process. Empirical results indicate that the UNIDS system excels in the spontaneous identification of an optimal number of discrete clusters within the input G-S image. The system demonstrates superior thickness, reduced deviation among data elements within the same cluster, increased inter-separation, and diminished inter-closeness between cluster elements. Furthermore, empirical analysis establishes the superior performance of the UNIDS approach compared to existing clustering techniques. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Iterative methods

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Power quality improvement in renewable energy integrated grid: a review

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International Journal of Power and Energy Conversion 2024年第4期15卷 352-375页

作者： Lolamo, Mathewos Kumar, Rajan Sharma, Veena Department of Electrical Engineering National Institute of Technology Himachal Pradesh Hamirpur177005 India Department of Electrical Engineering National Institute of Technology Chhattisgarh Raipur India

Incorporating renewable energy sources (RES), like wind and solar energy, is crucial for combating climate change and promoting sustainability. However, it introduces challenges to power quality (PQ) in distribution systems due to RES output variability, including voltage and frequency fluctuations and harmonics. Distributed flexible alternating current transmission system (DFACTS) devices, like unified power quality conditioner and distributed static compensator, effectively mitigate these challenges when appropriately controlled. Integrating energy storage systems (ESSs) like battery ESS with these devices and controlling them efficiently using traditional, AI-based, or adaptive control algorithms further enhances the mitigation performance of PQ in RES-connected grids. This review highlights PQ issues, categorisation, and mitigation strategies. It also highlights improving PQ in RES-integrated grids by enhancing DFACTS device performance through ESS combination and effective control. This review synthesises PQ enhancement strategies in RES-integrated grids from existing literature to support future research. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： control technique DFACTS devices energy storage system power quality renewable energy source

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Blockchain-based rumor detection approach for COVID-19

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 435-449页

作者： Rani, Poonam Jain, Vibha Shokeen, Jyoti Balyan, Arnav Department of Computer Engineering Netaji Subhas University of Technology Delhi India Department of Computer Science and Engineering University Institute of Engineering and Technology Maharshi Dayanand University Haryana Rohtak India

The ubiquity of handheld devices and easy access to the Internet help users get easy and quick updates from social media. Generally, people share information with their friends and groups without inspecting the posts’ veracity, which causes false information propagation in the network. Moreover, detecting false news and rumors in such a massive load of unstructured information is a very tedious task. Results, many literature papers explored different machine learning and deep learning approaches to detect the presence of rumors on social media networks. Although detection of misleading news and rumors is not sufficient, therefore, we have proposed a model for the detection and prevention of transmitted rumors in this paper. In this paper, we use blockchain technology to verify the credibility of information and design a framework with four layers: network layer, blockchain layer, machine layer, and device layer, to prevent the propagation of rumors in the network. We also use deep learning techniques to identify the anomalies in the network. The Bi-directional Long Short Term Memory (Bi-LSTM) model is used to prevent the introduction of new rumors by continuously monitoring incoming messages in the network. The experimental results demonstrate that the proposed Bi-LSTM model outperforms state-of-the-art machine learning methods and recent baseline work. Performance is compared over different metrics such as accuracy, precision, recall, f1-score, and specificity. Experiment results show that our Bi-LSTM model outperforms all the other approaches and achieved 99.63 % accuracy. Additionally, the probability of incorrect detection is significantly low with only 0.13% false positive. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.

关键词： COVID-19

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Multiple-Masks Error Correction Code Transformer for Short Block Codes

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IEEE Journal on Selected Areas in Communications 2025年第7期43卷 2518-2529页

作者： Park, Seong-Joon Kwak, Hee-Youl Kim, Sang-Hyo Kim, Sunghwan Kim, Yongjune No, Jong-Seon Institute of Artificial Intelligence Pohang37673 Korea Republic of University of Ulsan Department of Electrical Electronic and Computer Engineering Ulsan44610 Korea Republic of Sungkyunkwan University Department of Electrical and Computer Engineering Suwon16419 Korea Republic of Kyonggi University School of Electronic Engineering Suwon16227 Korea Republic of Department of Electrical Engineering Pohang37673 Korea Republic of Yonsei University Institute for Convergence Research and Education in Advanced Technology Seoul03722 Korea Republic of Seoul National University Department of Electrical and Computer Engineering Seoul08826 Korea Republic of

With the broadening applications of deep learning, neural decoders have emerged as a key research focus, specifically aimed at improving the decoding performance of conventional decoding algorithms. In particular, error correction code transformer (ECCT), which utilizes the transformer architecture, has achieved state-of-the-art performance among neural network-based decoders. We present three technical contributions to significantly enhance the performance of ECCT. First, we propose a novel transformer architecture of ECCT, termed the multiple-masks ECCT (MM ECCT). We employ multiple masked self-attention blocks with different mask matrices in a parallel manner to learn diverse relationships among the codeword bits. Second, we discover that constructing mask matrices based on systematic parity check matrices (PCMs) can make the attention maps sparse, which not only enhances the decoding performance but also reduces computational complexity. Finally, we propose using complementary mask matrices derived from cyclic permutations of the systematic PCM. These complementary mask matrices are specifically designed to enhance the decoding of cyclic codes. Our extensive simulation results show that the proposed MM ECCT architecture with carefully designed mask matrices outperforms the original ECCT by a large margin, achieving state-of-the-art decoding performance among neural decoders. The source code is available at https://***/iil-postech/mm-ecct. © 1983-2012 IEEE.

关键词： Decoding

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On the Coverage of Cognitive mmWave Networks With Directional Sensing and Communication

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IEEE Transactions on Wireless Communications 2024年第10期23卷 14215-14231页

作者： Tripathi, Shuchi Gupta, Abhishek K. Amuru, SaiDhiraj The Department of Electrical Engineering Indian Institute of Technology Kanpur Kanpur208016 India The Department of Electrical Engineering Indian Institute of Technology Hyderabad Hyderabad502285 India

Millimeter-waves’ propagation characteristics create opportunities for spatio-temporal spectrum sharing in a variety of contexts, including cognitive spectrum sharing (CSS). However, CSS with omnidirectional sensing is not efficient at mmWave frequencies due to their directional transmission, as this limits secondary networks’ ability to access the spectrum. This inspired us to create an analytical approach using stochastic geometry to examine the implications of directional sensing in millimeter-wave (mmWave) CSS. We explore a cognitive network where multiple secondary transmitter-receiver pairs coexist with multiple primary transmitter-receiver pairs. The positions of the secondary transmitters are modelled using a Poisson point process with corresponding secondary receivers located around them. A threshold on directional transmission is imposed on each secondary transmitter to limit its interference at the primary receiver. We derive the medium-access-probability of a secondary user along with the fraction of the secondary transmitters active at a time-instant. To understand cognition’s feasibility, we derive the primary and secondary links’ coverage probabilities. We provide various design insights. For example, we investigate the interference-threshold’s optimal value while ensuring both link’s coverage and its dependence on various parameters. We find that directionality improves both links’ performance. Further, allowing location-aware secondary-directionality can help achieve similar coverage for all secondary links. © 2002-2012 IEEE.

关键词： Directive antennas

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Liquid lens based holographic camera for real 3D scene hologram acquisition using end-to-end physical model-driven network

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Light(Science & Applications) 2024年第3期13卷 488-497页

作者： Di Wang Zhao-Song Li Yi Zheng You-Ran Zhao Chao Liu Jin-Bo Xu Yi-Wei Zheng Qian Huang Chen-Liang Chang Da-Wei Zhang Song-Lin Zhuang Qiong-Hua Wang School of Instrumentation and Optoelectronic Engineering Beihang UniversityBeijing 100191China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China

With the development of artificial intelligence,neural network provides unique opportunities for holography,such as high fidelity and dynamic *** to obtain real 3D scene and generate high fidelity hologram in real time is an urgent ***,we propose a liquid lens based holographic camera for real 3D scene hologram acquisition using an end-to-end physical model-driven network(EEPMD-Net).As the core component of the liquid camera,the first 10 mm large aperture electrowetting-based liquid lens is proposed by using specially fabricated *** design of the liquid camera ensures that the multi-layers of the real 3D scene can be obtained quickly and with great imaging *** EEPMD-Net takes the information of real 3D scene as the input,and uses two new structures of encoder and decoder networks to realize low-noise phase *** comparing the intensity information between the reconstructed image after depth fusion and the target scene,the composite loss function is constructed for phase optimization,and the high-fidelity training of hologram with true depth of the 3D scene is realized for the first *** holographic camera achieves the high-fidelity and fast generation of the hologram of the real 3D scene,and the reconstructed experiment proves that the holographic image has the advantage of low *** proposed holographic camera is unique and can be used in 3D display,measurement,encryption and other fields.

关键词： calculation solution holographic

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Design and implementation of a peer-to-peer energy trading scheme in multi-microgrid network with photovoltaics and wind energy

Journal of Energy Systems

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Journal of Energy Systems 2023年第2期7卷 158-172页

作者： Ehjaz, Muhammad Iqbal, Muhammad Zaidi, Syed Sajjad Haider Khan, Bilal Muhammad COMSATS University Electrical and Computer Engineering Department Wah Campus Islamabad Pakistan PNEC National University of Sciences and Technology Electrical Engineering Department Islamabad Pakistan

Expected widespread deployment of Peer-to-Peer energy transactions through affective utilization of Renewable Energy Sources require efficient energy transaction mechanism among the microgrids. We propose a scheme to establish peer-to-peer energy trading in multi-microgrid network by considering photovoltaic and wind energy systems. The research objectives are to minimize overall cost of all microgrids in multi-microgrid network and minimize the loading on centralized power network. Various parameters of photovoltaics and wind energy systems are modeled to explore their impact on P2P energy trading. Energy Management Unit establishes the smart contracts among microgrids, manages power transactions and calculates the cost based on dynamic pricing scheme in the multi-microgrid network. Two different cases are considered with respect to the types of power transaction among the microgrids in the multi-microgrid network and main grid. The effectiveness of the proposed scheme is validated by implementing on local small-scale power distribution system. © 2023 The Author(s).

关键词： Energy management

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Campaign: A Personalized Offloading, Semantic Communication, Latency-aware Resource Slicing and SFC Orchestration for SDN and NFV Empowered 6G Serverless Computing Network

IAENG International Journal of Computer Science

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IAENG International Journal of computer Science 2024年第10期51卷 1480-1515页

作者： Chowdhury, Mahfuzulhoq The Computer Science and Engineering Department Chittagong University of Engineering and Technology Chittagong4349 Bangladesh

Serverless computing has shifted cloud server management responsibilities away from end users and towards service providers. Serverless computing offers greater scalability, flexibility, ease of deployment, and cost-effective resource utilization. Previous serverless computing research excluded semantic communication, software-defined networking (SDN) and network function virtualization (NFV)-enabled service function chaining (SFC) orchestration, and minimum latency-aware hybrid worker selection based on user and service provider-retained resource usage, federated learning (FL), and blockchain (BC) operations. To overcome these issues, this article proposes cognitive intelligence, personalized offloading, FL and BC-based semantic and nonsemantic serverless applications with user satisfaction, multiple benefits, minimum hybrid latency cost-aware resource slicing, physical, digital, and NFV worker selection, and an SFC orchestration policy for SDN and NFV-enabled 6G networks that leverage user and service provider retained resource usage. Simulation results indicate that the proposed scheme improves E2E delay by over 40%, user financial gain by 4%, user satisfaction by 8%, and throughput by 6% when compared to existing schemes. © (2024), (International Association of Engineers). All rights reserved.

关键词： Network function virtualization

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Stochastic Optimization on Parking Lots for Smart Parking Using Reinforcement Learning Methods 14

Stochastic Optimization on Parking Lots for Smart Parking Us...

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2024 IEEE 14th Annual Computing and Communication Workshop and Conference, CCWC 2024

作者： Khatermohammadi, Davoud Ghalari, Seyed Amir Ebadollahi, Saeed Gil, Bob Iran University of Science and Technology Department of Electrical Engineering Iran British Columbia Institute of Technology Department of Electrical and Computer Engineering Technology Canada

ISBN: (纸本)9798350360134

Various sciences have always considered the maximum use of limited resources and planning to optimize their use. Parking in urban spaces is regarded as a finite resource. This paper investigates the idea of introducing learning algorithms for parking guidance and information systems that employ a central server. Each driver engages in a systematic search during a cycle to identify the parking space with the highest perceived reward among all available options, the optimal parking is determined based on predefined tunings signifying the pursuit of identifying the best parking places to select. To provide estimated optimal parking searching strategies to travelers there are two options linear programming and dynamic programming. Several scenarios will be argued from basic linear programming to Reinforcement Learning methods. The main contribution of this paper lies in the identification of optimal parking spaces for drivers by considering various factors associated with the parking spaces, employing the MAB approach. The multi-armed bandit (MAB) model has been widely adopted for studying many practical optimization problems (network resource allocation, ad placement, crowdsourcing, etc.) with unknown parameters, as one of the reinforcement learning implementations used in this investigation. Each driver who played this MAB gained its reward with their probabilities. The reinforcement learning methodology is utilized for which both Greedy and ϵ-Greedy simulations are run considering stationary and nonstationary scenarios, meanwhile, each parking selection can change the environment, and regarding this change, scenario assumptions change which is a new scenario in the area of parking problems finally results of these conditions are analyzed while aspects of each scenario are discussed and compared to their efficiency. © 2024 IEEE.

关键词： Dynamic programming

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Advances, Application and Challenges of Lithography Techniques 5

Advances, Application and Challenges of Lithography Techniqu...

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5th International Conference on Advancements in Computational Sciences, ICACS 2024

作者： Raza, Ali Saeed, Zubair Aslam, Adnan Nizami, Syeda Mehwish Habib, Kanwal Malik, Ahmad Nazir National University of Technology Department of Computer Engineering Islamabad Pakistan University of Engineering and Technology Department of Computer Engineering Taxila Pakistan University of Engineering and Technology Department of Electronic Engineering Taxila Pakistan University of Engineering and Technology Department of Electrical Engineering Taxila Pakistan Hitec University Department of Computer Engineering Taxila Pakistan

ISBN: (纸本)9798350394764

Miniaturization of the transistor has resulted in novel patterning techniques to come into account. To alleviate the resolution limits of photolithography, various promising techniques have been developed with high resolution, throughput, overlay accuracy, low line edge roughness, and low defectivity. This paper reviews major nanolithography techniques including conventional photolithography, Extreme ultraviolet lithography, Nanoimprint lithography, and additional techniques. All these lithographic methods are key technologies to manufacture ICs, microchips, and MEMS (micro-electromechanical system) devices. This paper also presents various challenges, status, and applications of NGL (next-generation lithography). In the end, a comparative analysis of these techniques is also discussed. © 2024 IEEE.

关键词： MEMS

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