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International IEEE Conference on Intelligent Systems, IS

作者： João António Lyudmila Mihaylova Petia Georgieva Dep. of Electronics Telecom. and Informatics (DETI) University of Aveiro Aveiro Portugal Dep. of Automatic Control and Systems Engineering University of Sheffield Sheffield UK University of Aveiro/DETI Institute of Electronics and Informatics Eng. of Aveiro (IEETA) Institute of Telecommunications Aveiro Portugal

ISBN: (数字)9798350350982

ISBN: (纸本)9798350350999

In this paper we propose a Text-To-Text Transfer Transformer-based (T5) model to generate concise, human-like synopses of Merger and Acquisition (M&A) economic news. Leveraging recent advancements in artificial intelligence and natural language processing, we have focused our resources on the creation of a specific summarizer, opting for a translation of all news into English to ensure consistency and mitigate complexity. The implementation of Graphics processing unit (GPU) resources for model training played a crucial role in optimizing the learning process, allowing us to effectively utilize the time window provided by platforms such as Google Colab Pro and Free. Through iterative fine-tuning, our model was trained to generate high-quality, human-like synopses of M&A events. Our findings underscore the enhanced transparency and interpretability of the proposed generative AI-driven text summariser, suggesting promising avenues for future exploration and development in this field.

关键词： Training Economics Technological innovation Corporate acquisitions Graphics processing units Transformers Natural language processing Internet Iterative methods Intelligent systems

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Robust Beamforming and Power Splitting Design in Distributed Antenna System with SWIPT under Bounded Channel Uncertainty

Robust Beamforming and Power Splitting Design in Distributed...

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IEEE Conference on Vehicular Technology (VTC)

作者： Zhengyu Zhu Kyoung-Jae Lee Zhongyong Wang Inkyu Lee School of Information Engineering Zhengzhou University Zhengzhou China School of Electrical Engineering Korea University Seoul Korea Dep. of Electronics and Control Engineering Hanbat National University Daejeon Korea

ISBN: (纸本)9781479980895

In this paper, we investigate a multiuser downlink distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information at the distributed antenna (DA) port. To optimally design robust transmit beamforming vectors and receive power splitting factors, our design objective is to maximize the average worst-case signal-to-interference-plus-noise ratio while simultaneously achieving the individual energy harvesting (EH) constraint for each user and the per-DA port power constraint. We solve this non- convex problem by reformulating it into a two-stage problem. Simulation results are shown to validate the robustness and effectiveness of the proposed algorithms.

关键词： Array signal processing Signal to noise ratio Robustness Interference Antenna arrays Wireless communication

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Stability issues of finite precision state estimate feedback controller realizations for discrete time systems

Stability issues of finite precision state estimate feedback...

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作者： Wu, Jun Chen, Sheng Li, Gang Istepanian, Robert Habib Chu, Jian Whidborne, James F. National Lab. of Industrial Control Tech. Institute of Advanced Process Control Zhejiang University Hangzhou 310027 China Dep. of Electronics and Computer Sci. University of Southampton Highfield Southampton SO17 lBJ United Kingdom School of EEE Nanyang Technological University Singapore Dep. of Electrical and Computer Eng. Ryerson Polytechnic University Toronto ON M5B 2K3 Canada Department of Mechanical Engineering King's College London London WC2R 2LS United Kingdom

This paper present a new effective algorithm for the optimal realization of state estimate feedback controller structures for discrete time systems subject to finite-word-length constraints. The problem is formulated as a nonlinear programming to provide an easy and efficient optimization tool to solve such a complex problem. Simulation results of the optimum realizations of state estimate feedback controller structures are presented to illustrate the effectiveness of the proposed strategy. © 2000 American Automatic control Council.

关键词： Nonlinear programming

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A pattern recognition approach for steady‐state security evaluation of an electrical power system

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European Transactions on Electrical Power 1991年第5期1卷 243-251页

A new pattern recognition approach to steady‐state security evaluation of electrical power systems is presented. Such approach is based upon a combined use of the „nearest‐neighbour” method and of an opportune system model ‐ previously proposed by the authors ‐for the basis of knowledge generation. In the first part of the paper, the definition of steady‐state security and the problems arising from its on‐line evaluation are briefly recalled. Then, the pattern recognition approach proposed is described in some detail, and its ability in order to overcome the computational drawbacks of traditional methods is illustrated. Afterwards, some remarks on the system model utilized are reported. Finally, a numerical experiment with reference to the AEP 14 bus test system is presented, showing very encouraging results. Copyright © 1991 John Wiley & Sons, Ltd.

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SSAM: A Haskell Parallel Programming STM Based Simple Actor Model

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Journal of Physics: Conference Series 2020年第1期1566卷

作者： Y Kim J Cheon T Hur S Byun G Woo Dep. of Electrical and Computer Engineering Pusan National University Dep. of Computer Science Kyungsung University Smart Control Center of LG Electronics

As computers with manycore architecture are being widely spread, parallel programming becomes a pending issue. While parallel programming has been a challenging issue, Haskell is known to be of the best available one. The immutability and declarative nature of Haskell suit well the need for parallelism. In our previous work, we implemented the SAM, a parallel programming model based on Haskell. In this paper, we propose the SSAM, an updated version of SAM, by solving the performance overhead of SAM socket. We discuss the architecture of SSAM and its major functions and show the 14% scalability upgrade in a performance test.

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An Analysis of Haskell Parallel Programming Model in the HaLVM

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Journal of Physics: Conference Series 2020年第1期1566卷

作者： Junseok Cheon Yeoneo Kim Taekwang Hur Sugwoo Byun Gyun Woo Dep. of Electrical and Computer Engineering Pusan National University Dep. of Computer Science Kyungsung University Smart Control Center of LG Electronics

Recently, cloud computers are widely used due to the development of computing environment and network speed. Unikernel is considered to be an attractive operating system in the manycore environment that effectively provides cloud computers. HalVM is a unikernel coded in Haskell. In this paper, we analyze the performance of Haskell running in a unikernel, which has shown good parallel programming performance in a manycore environment. In this paper, we analyze the performance of Haskell running in a unikernel, while Haskell has shown good performance in a manycore environment. To do this, we select HaLVM as the target operating system and analyze the performance by testing various Haskell parallel programming models. Test result shows that HaLVM is scalable only on IVC. We also implement a library to make programming with IVC more convenient, and use this library to compare extensibility experiments. Our test shows HaLVM's scalability is 112.42% higher than Linux environment.

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Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based...

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Electronic engineering (ICEEM), International Conference on

作者： Mahmoud Elshabrawy Marwa M. Eid Abdelaziz A. Abdelhamid El-Sayed M. El-Kenawy Abdelhameed Ibrahim Dept. of Communications & Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence Delta University for Science and Technology Mansoura Egypt Dep. of Computer Science Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Computer Engineering and Control Systems Dept. Faculty of Engineering University Mansoura Egypt

This study presents a dipper-throated-based ant colony optimization (DTACO) with the Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) model (DTACO+SARIMAX) to forecast monkeypox cases. The work optimizes the SARIMAX model using grid search cross-validation and fine-tunes its hyperparameters using DTACO to improve prediction accuracy. The suggested model's consistency and accuracy are considerable compared to previous studies. Comparisons with state-of-the-art models validate the proposed model's predictions. DTACO+SARIMAX can be used to control disease and monitor monkeypox. Healthcare organizations and governments can better manage and track the pandemic's course by offering accurate predictions, reducing public panic, and enabling effective pandemic planning. The Analysis of Variance (ANOVA) and Wilcoxon signed-rank tests are conducted on the proposed DTACO-SARIMAX model and compared models.

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Steady‐state security evaluation of electrical power systems by means of artificial neural network

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European Transactions on Electrical Power 1995年第2期5卷 91-97页

作者： Chiodo, E. Menniti, D. Testa, A. Picardi, C. Elio Chiodo (1959) received the degree in Electronics Engineering in 1985 and the Ph.D. degree in Computational Statistics both from the University of Naplefltaly. He is a Researcher at the Department of Electrical Engineering of the University of Naples and a member of the Italian Statistical Society. His areas of interest include probabilistic methods applied to electric power systems analysis. (University of Naples Fedrrico 11. Electrical Engineering Dept.via Claudio 21 1-80125 Naplefltaly T +3981/7683226 Fax+3981/2396897) Daniele Menniti (1958) received the degree in Electrical Engineering from the University of Calabria. Cosenzataly and the Ph.D. degree in Electrical Engineering from the University of NapleslItaly in 1984 and 1989 respectively. He is a researcher at the Electronic. Computer and Systems Science Department of the University of Calabria. Italy. Hiscurrent research interests concern electric power system analysis real-time control and automation. (University of Calabria Electronic Computer and Systems Science Dep. Arcavacataji Rende (CS). 1-87036 CosenzdItaly T +39984/494707. Fax +39984/4947 13) Alfredo Testa (1950) received the degree in Electrical Engineering from the University of Naples/Italy in 1975. He is an Associate Professor in Electrical Power Systems at the Department of Electrical Engineering of the University of Naples. He is engaged in researches on electrical power systems reliability and harmonic analysis. (University of Naples Federico 11. Electrical Engineering Dep. via Claudio '2 1 1-80 I25 NapleslItaly T + 39 8 I/7 68 3'2 11. Fax+3981/2396897) Ciro Picardi (1949) received the degree in Electronics Engineering from the University of Naples/Italy in 1975. He is currently Associate Professor in Process Control at the Department of Electronic Computer and System Science of the University of Calabria. Italy. His current research interests are in the area of electrical drives robotics neural networks and fuzzy control. (University of Calabria Electronic. Compu

An artificial‐neural‐network (ANN) application for steady‐state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back‐propagation neural network and of an opportune electrical system model, previously proposed by some of the authors. In the paper, the definition of steady‐state security and the problems arising from its on‐line evaluation are briefly recalled. Then, the ANN utilized is described with particular reference to the solutions adopted by the authors. Afterwards, some remarks on the system model utilized are reported. Finally, numerical applications on the AEP‐14 bus system are presented and the results obtained with different ANN configurations are analyzed. Copyright © 1995 John Wiley & Sons, Ltd.

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Robust Power Management control for Stand-Alone Hybrid Power Generation System

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Journal of Physics: Conference Series 2017年第1期783卷

作者： Elkhatib Kamal Lounis Adouane Abdel Aitouche Walaa Mohammed Industrial Electronics and Control Department Faculty of Electronic Engineering Menoufia University Menouf Egypt and Institut Pascal / IMobS3 Blaise Pascal University–UMR CNRS 6602 Clermont-Ferrand France. Institut Pascal / IMobS3 Blaise Pascal University – UMR CNRS 6602 Clermont-Ferrand France Laboratory CRISTAL (Center of Research in Informatics Signal and Automatic in Lille) University of Lille 1 France Industrial Electronics and Control Dep. Faculty of Electronic Engineering Menoufia University Menouf Egypt

This paper presents a new robust fuzzy control of energy management strategy for the stand-alone hybrid power systems. It consists of two levels named centralized fuzzy supervisory control which generates the power references for each decentralized robust fuzzy control. Hybrid power systems comprises: a photovoltaic panel and wind turbine as renewable sources, a micro turbine generator and a battery storage system. The proposed control strategy is able to satisfy the load requirements based on a fuzzy supervisor controller and manage power flows between the different energy sources and the storage unit by respecting the state of charge and the variation of wind speed and irradiance. Centralized controller is designed based on If-Then fuzzy rules to manage and optimize the hybrid power system production by generating the reference power for photovoltaic panel and wind turbine. Decentralized controller is based on the Takagi-Sugeno fuzzy model and permits us to stabilize each photovoltaic panel and wind turbine in presence of disturbances and parametric uncertainties and to optimize the tracking reference which is given by the centralized controller level. The sufficient conditions stability are formulated in the format of linear matrix inequalities using the Lyapunov stability theory. The effectiveness of the proposed Strategy is finally demonstrated through a SAHPS (stand-alone hybrid power systems) to illustrate the effectiveness of the overall proposed method.

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