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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Kemal Çelik İpek Çetinbaş Mehmet Demirtas Graduate School of Natural and Applied Sciences Gazi University Ankara Turkey Department of Electrical and Electronics Engineering Faculty of Engineering and Architecture Eskişehir Osmangazi University Eskişehir Turkey Department of Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey

In real-time PV applications, it is a problem that the maximum benefit cannot be obtained from PV systems at all times due to the nonlinearity of the PV structure and the dynamic nature of meteorological conditions. Maximum power point tracking (MPPT) is used to overcome this problem and to benefit from PV systems in the most efficient way. In this study, an MPPT method based on the perturb&observe (P&O) technique with nonlinear proportional-integral (NPI) control is proposed. In this method, the parameters of the NPI are adjusted with weighted mean of vectors (INFO) algorithm. Integral of time-weighted absolute error (ITAE) performance index is used for parameter setting, and control parameter behavior is added to the ITAE index to prevent control parameter noises. To validate the proposed method, it is compared with the classical PI control whose parameters are adjusted with the INFO algorithm. The proposed method exhibits 59% faster settling and 63% less overshoot in response to a pulse radiation change of 500W/m 2 . In addition, performance of the proposed method is 42% better according to the ITAE index. Consequently, it is confirmed that the proposed method is promising for future studies due to its simplicity, fast response, and these satisfactory results.

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Quick Screen View Rotation based on Device Rotation Prediction by SVM 11

Quick Screen View Rotation based on Device Rotation Predicti...

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11th IEEE Global Conference on Consumer electronics, GCCE 2022

作者： Toriumi, Koga Kamiyama, Takeshi Oguchi, Masato Yamaguchi, Saneyasu Kogakuin University Graduate School Electrical Engineering and Electronics Tokyo Japan Nagasaki University School of Information and Data Sciences Nagasaki Japan Ochanomizu University Department of Information Sciences Tokyo Japan Kogakuin University Department of Information and Communications Engineering Tokyo Japan

ISBN: (纸本)9781665492324

Smartphones have the function of automatic screen rotation. The function's policy and implementation have been kept similar without large modification for a decade. Its policy is pessimistic and operating systems do not quickly rotate their screen view and this delayed rotation may decline user experience. In our previous work, we proposed a method for early detecting a device rotation and achieved quick rotation. However, the method was optimistic and sometimes incorrectly rotated the screen. In this paper, we propose a method for detecting the device rotation using a support vector machine. The method extracts feature values from the acceleration obtained from the accelerometer in a smartphone and predicts device rotation in the near future. We then evaluate the proposed method using an actual Android device and show that the proposed method can predict device rotation more accurately than the existing method. In the case of shaking a device, the accuracy was improved by more than three times. © 2022 IEEE.

关键词： Rotation

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Renewable Energy System Based on Cellular Base Stations Application

Renewable Energy System Based on Cellular Base Stations Appl...

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Advances in electrical, Computing, Communication and Sustainable Technologies (ICAECT), International Conference on

作者： Inam Abbas Razooqi AL-SADDAEE Bassam Zayer Salman AZZAWİ Murat ARI Department of Electrical and Electronics Engineering Graduate School of Natural and Applied Sciences Çankiri Karatekin University Çankırı Turkey Department of Electrical Power and Machines Engineering College of Engineering University of Diyala Diyala Iraq Electromechanical Engineering Department University of Technology Baghdad Iraq

Due to the scarcity of electrical power in some regions, it is necessary to use a renewable energy source and transform this energy into electrical energy so that we can have energy continually with the fewest possible interruptions and failures. To get the most power out of the solar modules under variable load conditions despite variations in turbulence and uncertainties in temperature and other factors, the project is concerned with the design and implementation of an optimal, efficient, and robust control by optimizing the maximum power point tracking (MPPT) of the solar modules. The paper aims to analyze and simulate a hybrid energy management system that uses a variety of energy input sources to supply energy to loads at an optimal level while utilizing reliable management practices. The power sources are hybrid in nature, allowing us to use two energy-providing sources in backup mode at the same time. The first of these is a solar energy source, and the second is a wind energy source. One of the design goals of this study endeavor is to get the most output possible from various power sources using strategies, technological procedures, and systems. To efficiently and reliably extract the most significant amount of power from the source, a Fuzzy logic controller using the MPPT algorithm is designed and put into practice.

关键词： Maximum power point trackers Robust control Renewable energy sources Uncertainty Temperature Wind energy Transforms

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Reliability and Suitability of Evaluation of Speech by LLM Using Voice Mode

Reliability and Suitability of Evaluation of Speech by LLM U...

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7th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2025

作者： Tagami, Yugo Kojima, Takako Yamaguchi, Saneyasu Kogakuin University Graduate School Electrical Engineering and Electronics Tokyo Japan Tokyo Medical University Center for International Education and Research Tokyo Japan Kogakuin University Department of Information and Communications Engineering Tokyo Japan

ISBN: (纸本)9798331507022

LLMs (Large-scale Language Models), such as ChatGPT, have been widely used for a variety of purposes. The current sophisticated LLMs have a voice mode, which allows a user to input and output messages using speech. In this paper, we focus on ChatGPT-4, which is one of the most popular LLMs, and investigate the suitability of the responses obtained by the LLM with its voice mode. In particular, we evaluate and explore the evaluation results of the input speech data. Through our evaluation, we show that the LLM's responses are very human-like and too gentle to evaluate the speech audio data. © 2025 IEEE.

关键词： Problem oriented languages

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BAQET: BRAM-aware Quantization for Efficient Transformer Inference via Stream-based Architecture on an FPGA 25

BAQET: BRAM-aware Quantization for Efficient Transformer Inf...

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Proceedings of the 2025 ACM/SIGDA International Symposium on Field programmable Gate Arrays

作者： Ling-Chi Yang Chi-Jui Chen Trung Le Bo-Cheng Lai Scott Hauck Shih-Chieh Hsu Institute of Electronics National Yang Ming Chiao Tung University Hsinchu Taiwan Graduate Degree Program of College of Electrical and Computer Engineering in National Yang Ming Chiao Tung University Hsinchu Taiwan Electrical and Computer Engineering in University of Washington Seattle USA Electrical and Computer Engineering University of Washington Seattle USA Physics University of Washington Seattle USA

ISBN: (纸本)9798400713965

FPGAs are a compelling substrate for supporting machine learning inference. Tools such as High-Level Synthesis and hls4ml can shorten the development cycle for deploying ML algorithms on FPGAs, but can struggle to handle the large on-chip storage needed for many of these models. In particular the high BRAM usage found in many of these flows can cause Place & Route failures during synthesis. In this paper we propose using a Simulated-Annealing based flow to perform BRAM-aware quantization. This approach trades off inference accuracy with BRAM usage, to provide a high-quality inference engine that still meets on-chip resource constraints. We demonstrate this flow for Transformer-based machine learning algorithms, which include Flash Attention in a Stream-based Dataflow architecture. Our system imposes minimal accuracy drops, yet can reduce BRAM usage by 20%-50%, and improve power efficiency by 264%-812% compared to existing Transformer-based accelerators on FPGAs

关键词： efficient transformer

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An event-driven approach for resources planning in distributed power generation systems

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International Journal of electrical Power and Energy Systems 2022年 137卷 107768-107768页

作者： Maschio, Dierli M.R. Duarte, Bruno Lazzaretti, André E. Lafay, Jean-Marc S. Adzkiya, Dieky da Costa, Jean Patric Teixeira, Marcelo Graduate Program in Electrical Engineering Federal University of Technology Paraná Brazil Graduate Program in Electrical Engineering and Industrial Informatics Federal University of Technology Paraná Brazil Department of Mathematics Institut Teknologi Sepuluh Nopember Indonesia

Renewable Energy Sources (RESs) stand as a straightforward alternative to complement the energy grid and have been recurrently integrated into the generation and distribution matrices. Physically, generation components have distributed nature and they are expected to work coordinately, complementing each other to supply centralised microgrids, which interface them with the main power grid and consumers. As RESs have intermittent nature, engineers are limited to plan resources consumption, fulfil unit commitments, stratify time, cost, environmental impact, and quality of energy. This paper exploits the event-driven behaviour of microgrids to provide ways for them to recognise their context and cooperate towards common goals. Our main result is a Petri net simulation model that estimates customisation policies to be applied back over the microgridvia event-based control. Results show that in some cases it is possible to save effort (and resources) of power generation by replacing reactiveness for a more balanced, context-aware, energy chain. A real photovoltaic plant is modelled by our approach with 86% accuracy. © 2021 Elsevier Ltd

关键词： Renewable energy resources

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Comprehensive Investigation of electrical and Optical Characteristics of InGaN-Based Flip-Chip Micro-Light-Emitting Diodes

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Micromachines 2023年第1期14卷 9-9页

作者： Lee, Chang-Cheng Huang, Chun-Wei Liao, Po-Hsiang Huang, Yu-Hsin Huang, Ching-Liang Lin, Kuan-Heng Wu, Chung-Chih Department of Electrical Engineering Graduate Institute of Electronics Engineering Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei106 Taiwan AU Optronics Corporation Hsinchu300 Taiwan

Micro-light-emitting diodes (micro-LEDs) have been regarded as the important next-generation display technology, and a comprehensive and reliable modeling method for the design and optimization of characteristics of the micro-LED is of great use. In this work, by integrating the electrical simulation with the optical simulation, we conduct comprehensive simulation studies on electrical and optical/emission properties of real InGaN-based flip-chip micro-LED devices. The integrated simulation adopting the output of the electrical simulation (e.g., the non-uniform spontaneous emission distribution) as the input of the optical simulation (e.g., the emission source distribution) can provide more comprehensive and detailed characteristics and mechanisms of the micro-LED operation than the simulation by simply assuming a simple uniform emission source distribution. The simulated electrical and emission properties of the micro-LED were well corroborated by the measured properties, validating the effectiveness of the simulation. The reliable and practical modeling/simulation methodology reported here shall be useful to thoroughly investigate the physical mechanisms and operation of micro-LED devices. © 2022 by the authors.

关键词： Light emitting diodes

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The Mutual Information In The Vicinity of Capacity-Achieving Input Distributions

arXiv

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arXiv 2023年

作者： Nakiboglu, Barış Cheng, Hao-Chung Department of Electrical and Electronics Engineering Middle East Technical University Ankara06800 Turkey Department of Electrical Engineering Graduate Institute of Communication Engineering Department of Mathematics National Taiwan University Taipei10617 Taiwan Quantum Computing Centre Taiwan

The mutual information is bounded from above by a decreasing affine function of the square of the distance between the input distribution and the set of all capacity-achieving input distributions ΠA, on small enough neighborhoods of ΠA, using an identity due to Topsøe and the Pinsker’s inequality, assuming that the input set of the channel is finite and the constraint set A is polyhedral, i.e., can be described by (possibly multiple but) finitely many linear constraints. Counterexamples demonstrating nonexistence of such a quadratic bound are provided for the case of infinitely many linear constraints and the case of infinite input sets. Using Taylor’s theorem with the remainder term, rather than the Pinsker’s inequality and invoking Moreau’s decomposition theorem the exact characterization of the slowest decrease of the mutual information with the distance to ΠA is determined on small neighborhoods of ΠA. Corresponding results for classical-quantum channels are established under separable output Hilbert space assumption for the quadratic bound and under finite-dimensional output Hilbert space assumption for the exact characterization. Implications of these observations for the channel coding problem and applications of the proof techniques to related problems are discussed. © 2023, CC BY-NC-ND.

关键词： Vector spaces

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Reliability and Suitability of Evaluation of Speech by LLM Using Voice Mode

Reliability and Suitability of Evaluation of Speech by LLM U...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Yugo Tagami Takako Kojima Saneyasu Yamaguchi Electrical Engineering and Electronics Kogakuin University Graduate School Tokyo Japan Center for International Education and Research Tokyo Medical University Tokyo Japan Department of Information and Communications Engineering Kogakuin University Tokyo Japan

ISBN: (数字)9798331507022

ISBN: (纸本)9798331507039

关键词： Computational modeling Learning (artificial intelligence) Chatbots Speech Reliability

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Simultaneous Beamforming and Anti -Jamming with Intelligent Omni-Surfaces

Simultaneous Beamforming and Anti -Jamming with Intelligent ...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Wang, Yuhan Zeng, Shuhao Liu, Qingyu Di, Boya Zhang, Hongliang School of Electronic and Computer Engineering Peking University Shenzhen Graduate School China Pengcheng Laboratory China Princeton University Department of Electrical and Computer Engineering United States School of Electronics Peking University China

ISBN: (纸本)9798350368369

Wireless transmission is vulnerable to malicious jamming attacks due to the openness of wireless channels, posing a severe threat to wireless communications. Current anti-jamming studies primarily focus on either enhancing desired signals or mitigating jamming, resulting in limited performance. To address this issue, intelligent omni-surface (lOS) is a promising solution. By jointly designing its reflective and refractive properties, the lOS can simultaneously nullify jamming and enhance desired signals. In this paper, we consider an lOS-aided multi-user anti-jamming communication system, aiming to improve desired signals and nullify jamming by optimizing lOS phase shifts and transmit beamforming. However, this is challenging due to the coupled and discrete lOS reflection and refraction phase shifts, the unknown jammer's beamformer, and imperfect jammer-related channel state information. To tackle this, we relax lOS phase shifts to continuous states and optimize with a coupling-aware algorithm using the Cauchy-Schwarz inequality and S-procedure, followed by a local search to recover discrete states. Simulation results show that the proposed scheme significantly improves the sum rate amid jamming attacks. © 2025 IEEE.

关键词： Beamforming

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