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Frontiers in Optics, FIO 2013

作者： Dijk, Thomas Van Bhargava, Rohit Scott Carney, P. Beckman Institute for Advanced Science and Technology 405 N Mathews Ave Urbana Il 61801 United States Department of Electrical and Computer Engineering 405 N Mathews Ave Urbana Il 61801 United States Department of Bioengineering University of Illinois at Urbana-Champaign 405 N Mathews Ave Urbana Il 61801 United States

Nanoparticles enhance local fields to amplify surface enhanced Raman spectroscopic signals. Field enhancement also increases optical extinction, unexpectedly shifting the maximum Raman scattering away from resonance. ... 详细信息

ISBN: (纸本)9781557529879

关键词： Light absorption

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Analysis of the dynamics and topology dependencies of small perturbations in electric transmission grids

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Physical Review E 2020年第1期101卷 012313-012313页

作者： Luiscarlos A. Torres-Sánchez Giuseppe T. Freitas de Abreu Stefan Kettemann Department of Energy Division Decon International GmbH 61352 Bad Homburg Germany Department of Computer Science and Electrical Engineering Jacobs University Bremen 28759 Bremen Germany Department of Physics and Earth Science Jacobs University Bremen 28759 Bremen Germany Division of Advanced Materials Science Pohang University of Science and Technology Pohang 790-784 South Korea

We study the phase dynamics in power grids in response to small disturbances and how this depends on the grid topology. To this end, we consider the swing equations in linear order in phase disturbances and solve the resulting linear wave equation, deriving the eigenmodes of the weighted graph Laplacian. A linear response expression for the deviation of frequency is given in terms of these eigenvalues and eigenvectors, which it is argued to be the basis for future power system stabilizers and other control measures in power systems. As an example, we present results for random networks based on the Watts-Strogatz model, where we observe a transition to localized eigenstates as the randomness in the degree distribution grows. Moreover, it is found that localization leads to faster decay rates. Thereby, disturbances are found to remain localized on a few nodes where they decay faster. Finally, we also consider the German transmission grid topology, where the eigenstate of the lowest eigenfrequency, the Fiedler vector, is found to be extended, with large intensities at the northwestern and southern boundaries.

关键词： Coupled oscillators Network structure Topological tools

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Photonic-based fully integrated microwave instantaneous frequency measurement

Photonic-based fully integrated microwave instantaneous freq...

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2021 Asia Communications and Photonics Conference, ACP 2021

作者： Tao, Yuansheng Tao, Zihan Shu, Haowen Jin, Ming Wang, Xingjun State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics School of Electronics Engineering and Computer Science Peking University Beijing100871 China Frontier Science Center for Nano-optoelectronics Peking University Beijing100871 China Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China Peng Cheng Laboratory Shenzhen518055 China

We demonstrate the first photonic-based fully integrated microwave instantaneous frequency measurement system, showing a wideband measurement range of 2-34 GHz and an ultralow estimation error of 10.85 MHz. © Opt... 详细信息

ISBN: (纸本)9781957171005

关键词： Frequency estimation

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Channel coding for power line communication based on oversampled filter banks

Channel coding for power line communication based on oversam...

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IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)

作者： C. Liu S. Weiss S. Redif T. Cooper L. Lampe J.G. McWhirter School of Electronics & Computer Science University of Southampton UK Advanced Signal Processing Group QinetiQ Limited Malvern UK Department of Electrical and Computer Engineering University of British Columbia Canada

Oversampled filter banks (OSFB) can be applied as channel coding and have shown benefits in correlated and impulsive noise. Therefore, in this paper, we consider such channel coders for a power line communications scenario, where such conditions create a hostile channel environment. The proposed channel coder assumes the knowledge of the noise covariance matrix. The transmission is accomplished over the N weakest eigenmodes of the noise, which are identified by means of a broadband eigenvalue decomposition. We demonstrate by simulations that this approach can lead to an enhancement of the SNR in the receiver and to improved performance over standard channel coding approaches.

关键词： Channel coding Power line communications Channel bank filters Working environment noise Programmable control Signal to noise ratio Power system modeling Gaussian noise Filter bank Noise level

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Design of a Smart Energy Meter and Monitoring System for Industrial and Residential Use Based on the Internet of Things

Design of a Smart Energy Meter and Monitoring System for Ind...

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IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)

作者： Vijai Meyyappan Moorthy Muthukumaran Benson Mansingh Britto Manoj Sateesh Kumar Reddy C Arul Elango Department of Advanced Computer Science and Engineering Vignan Foundation of Science Research and Technology Guntur Andhra Pradesh India Department of Electrical and Electronics Engineering M. I. E. T. Engineering College Trichy Tamilnadu India

Electronic meters have become increasingly important for efficient energy use, and the proposed research aims to develop an IoT-based architecture for metering and monitoring. This smart monitoring and control system (SMACS) for home appliances is suggested to enhance household electricity control. The technology uses a wireless control module with an ESP8266 microcontroller and Wi-Fi channel to monitor current consumption and send measured amounts over Wi-Fi. The system calculates current consumption, counts units, and displays results on the user's website and smartphone. It avoids using traditional analog and digital meter reading techniques and allows remote access to electronic meters. The proposed work offers lower total costs, greater energy savings, and reduced time and labour requirements.

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Performance analysis of MAC protocol for packet data service in CDMA based mobile communication systems

Performance analysis of MAC protocol for packet data service...

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IEEE Conference on Vehicular Technology (VTC)

作者： Seong-Soo Park Young-Jae Song Dong-Ho Cho Department of Mobile Network Electronics and Telecommunications Research Institute South Korea Department of Computer Engineering Kyung Hee University South Korea Department of Electrical Engineering Korea Advanced Institute of Science and Technology Japan

We propose a MAC protocol that consists of a channel access mechanism and transmission mechanism to support effective wireless packet data service. In the channel access mechanism, a broadcast channel announces the status information of the random access channel, and the mobile station tries random access based on status information. Also, the mobile station has access probability to prevent collision increase due to the transmission of short messages. For effective transmission, the mobile station changes the transmission rate based on the transmission queue status to adapt the burst traffic characteristics. In restricted environments of transmission code and bandwidth, the proposed protocol shows better performance than the cdma2000 system.

关键词： Performance analysis Media Access Protocol Multiaccess communication Mobile communication Access protocols Data communication Wireless application protocol Traffic control Bandwidth Channel allocation

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Multimedia understanding: challenges in the new millennium

Multimedia understanding: challenges in the new millennium

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IEEE International Conference on Image Processing

作者： M.R. Naphade T.S. Huang Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign USA Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign USA

Multimedia understanding is a fast emerging interdisciplinary research area with tremendous potential to increase the effective use of multimedia content. Diverse application areas are increasingly relying on multimedia understanding systems. Advances in multimedia understanding are related directly to advances in various disciplines including signal processing, computer vision, pattern recognition, multimedia databases and smart sensors. In this paper we present a perspective on the state-of-the-art in multimedia understanding systems and also discuss emerging trends in such systems in the new millennium. A generic framework is discussed for multimedia understanding systems and a semantic video indexing framework is given.

关键词： Multimedia systems Multimedia databases Application software Intelligent sensors Internet Indexing Competitive intelligence Image sequences Image segmentation Humans

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Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation

arXiv

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arXiv 2024年

作者： Sani, Samin Mahdizadeh Sadeghi, Pouya Vu, Thuy-Trang Yaghoobzadeh, Yadollah Haffari, Gholamreza Department of Electrical and Computer Engineering University of Tehran Iran Tehran Institute for Advanced Studies Khatam University Iran Department of Data Science & AI Monash University Australia

Large language models (LLMs) have made great progress in classification and text generation tasks. However, they are mainly trained on English data and often struggle with low-resource languages. In this study, we explore adding a new language, i.e., Persian, to Llama (a model with a limited understanding of Persian) using parameter-efficient fine-tuning. We employ a multi-stage approach involving pretraining on monolingual Persian data, aligning representations through bilingual pretraining and instruction datasets, and instruction-tuning with task-specific datasets. We evaluate the model’s performance at each stage on generation and classification tasks. Our findings suggest that incorporating the Persian language, through bilingual data alignment, can enhance classification accuracy for Persian tasks, with no adverse impact and sometimes even improvements on English tasks. Additionally, the results highlight the model’s initial strength as a critical factor when working with limited training data, with cross-lingual alignment offering minimal benefits for the low-resource language. Knowledge transfer from English to Persian has a marginal effect, primarily benefiting simple classification tasks.1 Copyright © 2024, The Authors. All rights reserved.

关键词： Translation (languages)

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Image restoration based on estimation of fractal structure

Image restoration based on estimation of fractal structure

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IEEE Region 10 International Conference TENCON

作者： T. Hamano K. Tokuda M. Kaneko Department of Electrical and Electronic Engineering Tokyo Institute of Technology Tokyo Japan Department of Computer Science Nagoya Institute of Technology Nagoya Japan School of Information Science Japan Advanced Institute of Science and Technology Ishikawa Japan

In this paper, image restoration under unknown degradation process (hard to make a mathematical model of the degradation process) will be treated, and a novel approach adopting fractal coding is proposed. The method begins, as a pre-processing, with the construction of a table of range-domain correspondences on a degraded image using known pairs of an original image and its degraded image. In the restoration phase, the fractal structure of an unknown image is, first, estimated from an input image by using the table, and next, a restored image is generated by the decoding process. The fractal decoding procedure is evolved by the concept of the fuzzy vector quantization to diminish the distortion of a decoded image. Features and effectiveness are examined through some simulations.

关键词： Image restoration Fractals Degradation Image coding Decoding Nonlinear filters Filtering Image generation Signal restoration computer science

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A Hybrid Approach Integrating Deep Fuzzy Dual Support Vector Regression with Evolutionary Computation and Ensemble Learning

A Hybrid Approach Integrating Deep Fuzzy Dual Support Vector...

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Intelligent Systems and Machine Learning Conference (ISML)

作者： Jagendra Singh Neeraj Kamal Upreti Sonali Gaur A. K. Shrivastav Mohit Tiwari Computer Science Engineering Alliance School of Advanced Computing Alliance University Banglore India School of Computer Science Engineering and Technology Bennett University Greater Noida India Department of Computer Science CHRIST (Deemed to be University) Ghaziabad India IILM Institute for Higher Education New Delhi India Department of Mathematics & Humanities MMEC Maharishi Markandashwar (Deemed University) Ambala India Dept. of Computer Science & Engineering Bharati Vidyapeeth’s College of Engineering Delhi India

ISBN: (数字)9798350343878

ISBN: (纸本)9798350343885

This research endeavors to revolutionize the precision of photovoltaic (PV) power generation predictions through the introduction of a novel Hybrid Ensembled Model. Motivated by the imperative to enhance the reliability of renewable energy technologies, the study amalgamates the strengths of fuzzy logic, support vector regression, ensemble learning, and evolutionary computation. The model's design addresses the inherent challenges of PV power generation prediction, notably uncertainties and non-linear dynamics. The investigation unfolds in distinct phases, beginning with a meticulous exploration of the significance of precise PV power generation prediction. Acknowledging the limitations of existing methodologies, the research establishes a robust foundation for the development of the Hybrid Ensembled Model. Methodologically, the incorporation of Double-Input-Fuzzy-Modules (DIFM), Extreme Learning Machine (ELM), and evolutionary computation ensures a comprehensive and adaptive framework. This research propels the discourse on renewable energy prediction models, presenting a Hybrid Ensembled Model as a pioneering solution for precise and reliable PV power generation forecasts. The implications extend beyond academia, envisioning a future where sustainable energy systems are underpinned by accurate predictions, fostering optimal resource utilization and contributing to a resilient and sustainable energy landscape.

关键词： Fuzzy logic Renewable energy sources Adaptation models Computational modeling Electricity Evolutionary computation Predictive models Hybrid power systems Reliability Ensemble learning

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