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2013 4th International Conference on Power engineering, Energy and electrical Drives, POWERENG 2013

作者： Neusser, Lukas Canha, Luciane Neves Post Graduate Program in Electrical Engineering Federal University of Santa Maria - UFSM Santa-Maria Brazil

ISBN: (纸本)9781467363921

The penetration of distributed generation is growing, and today it is not unusual to see at the same site, equipment that consumes energy working side by side with power sources. To manage and optimize the use of every resource, and to avoid unbalances when the system operates near its limits, the need for very short-term load forecasting is inevitable. In this paper, the use of an already known, fast forecast algorithm, based on double seasonal exponential smoothing is proposed. His real-time usability, with only limited historical data are tested, and the mechanism behind to achieve that are explained. Results, the functionality and reliability on a real world system are also presented and discussed, leading to some concluding remarks at the end of the paper. © 2013 IEEE.

关键词： Forecasting

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graduate student support: Using wellness programming to promote connection, community, and sense of belonging 124

Graduate student support: Using wellness programming to prom...

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124th ASEE Annual Conference and Exposition

作者： Bucher, Beth A. Ohio State University Electrical and Computer Engineering Graduate Program United States

Community and a sense of belonging are commonly accepted as two of the biggest predictors of academic success in higher education. Additionally, student distress, accidental death from risky behavior, and suicide can be combatted primarily through connections, according to the University's Suicide Prevention program. Due to the nature of the work, it is easy for graduate students to become isolated and disconnected. Increased rigor, perfectionistic tendencies and demand for original impactful contributions make graduate school stressful. The very nature of the learning process creates dissonance by presenting hurdles and problems to be solved. Creating connection, community and a sense of professional belonging can make our graduate programs thrive instead of ridden with student attrition, students just making it through, or worse. Initiatives were begun in a large graduate engineering program. This is a discussion of the good, the bad, and the ugly of the first attempts of the programming. Some of the components include small group leadership of new students, Get Launched for Success Workshop Series, weekly email outreach spotlighting University resources, suicide risk assessment, Group Wellness Coaching, collaboration with graduate student organization officers, student interest surveys, and "Surviving the Holidays" workshop presented by campus counseling services. Support was solidified from faculty leadership to create a wellness culture. The department chair was approached for approval of a budget for food for events in autumn semester. Faculty who had experienced a student's accidental death just months prior were approached about recommending their advisees participate in Group Wellness Coaching with the objective of creating community and connection. In order to be intentional, consultation regarding objectives, outcomes and evaluation was sought. University resources utilized include Counseling & Consultation Services, Office of Diversity, Student Wellness

关键词： Students

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System identification of a pilot scale heat exchanger: A state-space realization approach 42

System identification of a pilot scale heat exchanger: A sta...

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42nd Conference of the Industrial Electronics Society, IECON 2016

作者： Lima, Rafael B. C. Barros, Péricles R. Acioli, George Post-graduate Program in Electrical Engineering PPgEE COPELE UFCG Brazil Electrical Engineering Department Fed. University of Campina Grande Brazil

It is presented a state-space realization approach for identification of a pilot scale heat exchanger plant. The proposed methodology is a computational efficient way to estimate state-space models from experimental d...

ISBN: (纸本)9781509034741

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Transmission of real-time video signal with interference density and human traffic

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Telkomnika (Telecommunication Computing Electronics and Control) 2015年第4期13卷 1352-1360页

作者： Bahaweres, Rizal Broer Karya, Oki Teguh Alaydrus, Mudrik Post-Graduate Program of Electrical Engineering Departement Mercu Buana University Indonesia KompasTV Indonesia Faculty of Science and Technology State Islamic University Syarif Hidayatullah Jakarta Indonesia

The use of mobile phone as a communication tool rapidly increases, as well as various types of functions therein. Among of the many applications on the mobile phone, which are used skype androidbased for teleconferencing via mobile phone. Things can not be separated from these applications is the need of qualified internet network access for these applications can be felt up function. One of the network access to the Internet is widely used today's society is a wi-fi network. Access to the Internet does not always provide the best performance, this is due to many factors, one of which is the presence of interference. In this study, we tested transmission of video signals in real-time using an application skype on the mobile phone. Skype run on wi-fi network, which is influenced by the presence of interference or objects such as human traffic in the network. Wireshark were used to obtain data reliability wi-fi network, known as QoS. While evalvid used to obtain the data QoE restricted only get the data PSNR (Peak Signal To Noise Ratio) and MSE (Mean Square Error). © 2015 Universitas Ahmad Dahlan.

关键词： Wi-Fi

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Three-Phase shunt active power filter based on the interconnection of single-Phase and three-Phase converters

Three-Phase shunt active power filter based on the interconn...

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2013 12th Brazilian Power Electronics Conference, COBEP 2013

作者： Maciel, A.M. Jacobina, C.B. Melo, V.B. Dos Santos, E.C. Fabricio, E.L.L. Post-Graduate Program in Electrical Engineering -PPgEE -COPELE Brazil 58429-900 Campina Grande -PB Brazil -PB Brazil Department of Electrical and Computer Engineering Purdue School of Engineering and Technology IUPUI United States

ISBN: (纸本)9781479902729

This paper presents a topology based on the interconnection of single-phase H-bridge converters and a three-phase converter acting as a shunt active power filter. Contributions for the model, PWM approach and control strategies are presented to the studied converter. As compared to the conventional solution by using just H-bridges converters, the proposed one reduces the number of semiconductor and storage devices while keeping the same characteristics of high number of levels. A comprehensive THD analysis will be considered followed by simulated and experimental outcomes. © 2013 IEEE.

关键词： Bandpass filters

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Exploiting Approximations in Supervisory Control with Distinguishers

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IFAC-PapersOnLine 2018年第7期51卷 13-18页

作者： Rosa, Marcelo Teixeira, Marcelo Malik, Robi Graduate Program in Electrical Engineering Federal University of Technology Paraná Pato Branco Brazil Department of Computer Science University of Waikato Hamilton New Zealand

Distinguishers have been used in Supervisory Control Theory (SCT) of Discrete Event Systems, as a way to simplify modeling tasks. Approximations complement this approach with an alternative to also reduce synthesis effort. Despite the advantages, supervisors obtained from approximated DES plants can be suboptimal, so that the modeling structure has to be reconstructed empirically, until the proper supervisor is found. In this paper we show how to construct suitable-approximations that always lead to least restrictive controllable synthesis. A manufacturing system example is provided to illustrate the approach. © 2018

关键词： Discrete event simulation Automation Control engineering Control theory Controllability Manufacture Models Supervisory personnel Controllable synthesis Distinguishers Modeling structures Modeling task Supervisory control Supervisory control theory

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Unified algorithm to improve reinforcement learning in dynamic environments: An instance-based approach

Unified algorithm to improve reinforcement learning in dynam...

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14th International Conference on Enterprise Information Systems, ICEIS 2012

作者： Ribeiro, Richardson Favarim, Fábio Barbosa, Marco A.C. Borges, André Pinz Dordal, Osmar Betazzi Koerich, Alessandro L. Enembreck, Fabrício Graduate Program in Computer Engineering Federal Technological University of Paraná Pato Branco Paraná Brazil Post-Graduate Program in Computer Science Pontificial Catholical University of Paraná Curitiba Paraná Brazil

ISBN: (纸本)9789898565105

This paper presents an approach for speeding up the convergence of adaptive intelligent agents using reinforcement learning algorithms. Speeding up the learning of an intelligent agent is a complex task since the choice of inadequate updating techniques may cause delays in the learning process or even induce an unexpected acceleration that causes the agent to converge to a non-satisfactory policy. We have developed a technique for estimating policies which combines instance-based learning and reinforcement learning algorithms in Markovian environments. Experimental results in dynamic environments of different dimensions have shown that the proposed technique is able to speed up the convergence of the agents while achieving optimal action policies, avoiding problems of classical reinforcement learning approaches.

关键词： Reinforcement learning

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electrically Reconfigurable Intelligent Optoelectronics in 2-D van der Waals Materials

arXiv

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arXiv 2025年

作者： Wang, Yu Zhang, Dehui Song, Yihao Lee, Jea Jung Tian, Meng Biswas, Souvik Xia, Fengnian Guo, Qiushi Photonics Initiative Advanced Science Research Center City University of New York 85 St Nicholas Terrace New YorkNY10031 United States Physics Program Graduate Center City University of New York 365 5th Ave New YorkNY10016 United States Department of Electrical Engineering and Computer Sciences University of California Berkeley 566 Cory Hall BerkeleyCA94720 United States Department of Electrical Engineering Yale University 15 Prospect St New HavenCT06511 United States E. L. Ginzton Laboratory Stanford University 348 Via Pueblo Mall StanfordCA94305 United States

In optoelectronics, achieving electrical reconfigurability is crucial as it enables the encoding, decoding, manipulating, and processing of information carried by light. In recent years, two-dimensional van der Waals (2-D vdW) materials have emerged as promising platforms for realizing reconfigurable optoelectronic devices. Compared to materials with bulk crystalline lattice, 2-D vdW materials offer superior electrical reconfigurability due to high surface-to-volume ratio, quantum confinement, reduced dielectric screening effect, and strong dipole resonances. Additionally, their unique band structures and associated topology and quantum geometry provide novel tuning capabilities. This review article seeks to establish a connection between the fundamental physics underlying reconfigurable optoelectronics in 2-D materials and their burgeoning applications in intelligent optoelectronics. We first survey various electrically reconfigurable properties of 2-D vdW materials and the underlying tuning mechanisms. Then we highlight the emerging applications of such devices, including dynamic intensity, phase and polarization control, and intelligent sensing. Finally, we discuss the opportunities for future advancements in this field. Copyright © 2025, The Authors. All rights reserved.

关键词： Van der Waals forces

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Evolving granular classification neural networks

Evolving granular classification neural networks

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2009 International Joint Conference on Neural Networks, IJCNN 2009

作者： Leite, Daniel F. Costa Jr., Pyramo Gomide, Fernando Faculty of Electrical and Computer Engineering University of Campinas Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424435531

The objective of this study is to introduce the concept of evolving granular neural networks (eGNN) and to develop a framework of information granulation and its role in the online design of neural networks. The suggested eGNN are neural models supported by granule-based learning algorithms whose aim is to tackle classification problems in continuously changing environments. eGNN are constructed from streams of data using fast incremental learning algorithms. eGNN models require a relatively small amount of memory to perform classification tasks. Basically, they try to find information occurring in the incoming data using the concept of granules and T-S neurons as basic processing elements. The main characteristics of eGNN models are continuous learning, self-organization, and adaptation to unknown environments. Association rules and parameters can be easily extracted from its structure at any step during the evolving process. The rule base gives a granular description of the behavior of the system in the input space together with the associated classes. To illustrate the effectiveness of the approach, the paper considers the Iris and Wine benchmark problems. © 2009 IEEE.

关键词： Learning algorithms

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Multiband Patch Antenna Design Using Nature-Inspired Optimization Method

IEEE Open Journal of Antennas and Propagation

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IEEE Open Journal of Antennas and Propagation 2021年 2卷 151-162页

作者： Boursianis, Achilles D. Papadopoulou, Maria S. Pierezan, Juliano Mariani, Viviana C. Coelho, Leandro S. Sarigiannidis, Panagiotis Koulouridis, Stavros Goudos, Sotirios K. ELEDIA@AUTH Research Group School of Physics Aristotle University of Thessaloniki Thessaloniki54124 Greece Department of Electrical Engineering Federal University of Parana Curitiba80060-000 Brazil Industrial and Systems Engineering Graduate Program and Mechanical Engineering Graduate Program Pontifical Catholic University of Parana Curitiba80215-901 Brazil Department of Electrical and Computer Engineering University of Western Macedonia Kozani501 00 Greece Electrical and Computer Engineering Department University of Patras Patras26504 Greece

Radio frequency energy harvesting has attracted considerable interest as a technique of enabling self-powered wireless networks. This technique faces several challenges, such as the receiving and the rectifying modules of a rectenna system. Multiband antennas provide several comparative advantages against the goal of maximizing the amount of energy harvesting. In this work, we present a multiband microstrip patch antenna with three slits operating in the LoRaWAN (Long Range Wide Area Network) and the cellular (GSM-1800 and UMTS) communication frequency bands. A feasible solution of the antenna is obtained by the application of a recently introduced nature-inspired optimization technique, namely the Coyote Optimization Algorithm. The proposed antenna operates satisfactorily in the LoRaWAN (Long Range Wide Area Network) and the cellular (GSM-1800 and UMTS) communication frequency bands. Measured results of the proposed antenna exhibit an acceptable performance (multiband frequency operation, maximum gain of 3.94 dBi, broadside operation) and demonstrate features of operation, which make it a strong candidate for various RF energy harvesting applications. © 2020 IEEE.

关键词： Microstrip antennas

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