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Automatics and Informatics (ICAI), International Conference

作者： Asya Stoyanova-Doycheva Sebiha Madanska Sheban Bilyanov Dept. of Computer Systems University of Plovdiv “Paisii Hilendarski” Plovdiv Bulgaria IICT Bulgarian Academy of Sciences Sofia Bulgaria Dept. of Residential Buildings University of Architecture Civil Engineering and Geodesy Sofia Bulgaria

The article presents the development of an ontology for the Taxonomic List of Soils in Bulgaria (according to the FAO World System). In addition to soil types, the ontology includes knowledge about the different agro-climatic regions in Bulgaria that are suitable for cultivating various agricultural crops. The ontology is part of the knowledge base of the ZEMELA platform for smart agriculture.

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Evolution of Metallic Connection Technologies of Busbar in Silicon Solar Cells: Brief Review

Evolution of Metallic Connection Technologies of Busbar in S...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： A.M.C. Silveira M.R.M. Neves R. Garcia H. Alvarez M.G. Villalva F.C. Marques L.C. Kretly Communications Department DECOM School of Electrical and Computer Engineering Campinas Brazil Dept. of Systems and Energy DSE School of Electrical and Computer Engineering Campinas Brazil Dept. Research and Development - R&D Build Your Dreams Company - BYD Campinas Brazil Dept. of Applied Physics DFA Institute of Physics Gleb Wataghin Campinas Brazil

This work consists of presenting a brief review of the evolution of metallic connection technologies in busbars applied to the front and rear of solar cells, thus demonstrating their fundamentals, materials and essential manufacturing processes that impact on improving the energy efficiency of solar modules. In this brief review, one can follow the technical limitations that led to the evolution of metallic connection technologies in busbars over time and their impacts on the photovoltaic market. Contributing to a broad understanding of the resistive components of solar cells that consists of the series resistance parameter.

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Evaluating the impact of circuit legalization on incremental optimization techniques

Evaluating the impact of circuit legalization on incremental...

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Symposium on Integrated Circuits and systems Design (SBCCI)

作者： Renan Netto Vinicius Livramento Chrystian Guth Luiz C.V. dos Santos José Luís Güntzel Dept. of Computer Science Federal University of Santa Catarina Brazil Dept. of Automation and Systems Engineering Federal University of Santa Catarina Brazil Universidade Federal de Santa Catarina Florianopolis SC BR

During physical synthesis, global placement and incremental optimization steps such as gate sizing, buffer insertion and timing-driven placement, produce placements where cells are overlapped or misaligned with respect to sites and rows predefined in the used standard cell library. Therefore, a legalization procedure must be used to keep the placement legality. In the case of incremental optimization techniques, the legalization step can be applied as a final step, after each optimization iteration or even after each primitive placement transformation. Although different legalization strategies are used by different works on incremental optimization techniques found in the literature, they do not present practical results on how those different strategies impact on the runtime and quality of the optimized placements. This work investigates such issue by comparing the runtime, timing degradation, density profile and wirelength resulted from using three legalization strategies on an incremental timing driven placement technique. Experimental results show that incremental legalization is from 22% to 71% faster than a single final legalization step and achieves similar density and wirelength profiles, but may increase timing violations up to 48% (9% on average). On the other hand, legalizing the circuit after each optimization iteration is the least interesting strategy, since it leads to similar quality results than a single final legalization, at the cost of a runtime about 3.2 times greater on average. Therefore, incremental legalization may be an interesting strategy for incremental optimization techniques due to its shorter runtime. Finally, we point out alternatives to improve the quality of incremental legalization techniques.

关键词： Runtime Timing Heuristic algorithms Law Cost function

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Innovative Competency-Based Electrical engineering Curriculum 54

Innovative Competency-Based Electrical Engineering Curriculu...

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54th IEEE Frontiers in Education Conference, FIE 2024

作者： Rehder, Gustavo P. Serrano, Ariana L. C. Grimoni, José B. Brandão, Anarosa A. F. Silva, Magno M. T. Moriya, Henrique T. Panazio, Cristiano M. Barbero, Edson Alayo, Marco I. Gianesi, Irineu G. N. Seabra, Antonio C. Universidade de São Paulo Electronic Systems Department The Escola Politécnica São Paulo Brazil Universidade de São Paulo Electric Automation and Energy Dept. The Escola Politécnica São Paulo Brazil Universidade de São Paulo Computer Engineering and Digital Systems Department The Escola Politécnica São Paulo Brazil Universidade de São Paulo Telecommunications and Control Dept. The Escola Politécnica São Paulo Brazil Á lvares Penteado School of Commerce Foundation São Paulo Brazil Instituto Mauá de Tecnologia São Paulo Brazil

ISBN: (纸本)9798350351507

The Electrical engineering undergraduate program of the Escola Politécnica of the Universidade de São Paulo has created an alternative innovative curriculum path for its freshmen students in 2024. The Competency-based Path emphasizes the development of competencies and skills for the unprecedented technological advancements that necessitate a holistic education for future electrical engineers, preparing them with practical skills for real-world challenges. The program was designed using an innovative methodology and centers around semester-long or year-long integrative projects. These projects bridge the gap between theory and practice, as students deal with real-world challenges while fostering social responsibility. © 2024 IEEE.

关键词： Students

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Microgrid evolution roadmap

Microgrid evolution roadmap

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2015 International Symposium on Smart Electric Distribution systems and Technologies, EDST 2015

作者： Marnay, Chris Chatzivasileiadis, Spyros Abbey, Chad Iravani, Reza Joos, Geza Lombardi, Pio Mancarella, Pierluigi Von Appen, Jan China Energy and Grid Integration Groups Lawrence Berkeley National Laboratory Berkeley United States Power Systems Smarter Grid Solutions Inc. Saint-Lambert Canada Dept. of Electrical and Computer Engineering University of Toronto Toronto Canada Electrical Engineering and Computer Science McGill University Montréal Canada Fraunhofer Institute for Factory Operation and Autonomation IFF Magdeburg Germany School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Fraunhofer IWES Kassel Germany

ISBN: (纸本)9781479977369

This paper reports on the work of the CIGRÉ C6.22 Working Group, Microgrid Evolution Roadmap, which has recently finalized its first Technical Brochure. The Working Group was asked to identify the main elements required to justify, develop, and implement viable microgrids, which the Group defined as follows: Microgrids are electricity distribution systems containing loads and distributed energy resources, (such as distributed generators, storage devices, or controllable loads) that can be operated in a controlled, coordinated way either while connected to the main power network or while islanded. The main types of microgrids are described, and a benefits estimation approach developed and demonstrated. Also, an extensive review is made of microgrid functionality and technology, and a data base of microgrid pilot projects has been built. © 2015 IEEE.

关键词： Fuel cells

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A minimal model for explaining the higher ATP production in the Warburg effect

A minimal model for explaining the higher ATP production in ...

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2015 German Conference on Bioinformatics, GCB 2015

作者： Schuster, Stefan Boley, Daniel Möller, Philip Kaleta, Christoph Dept. of Bioinformatics Friedrich Schiller University Ernst-Abbe-Platz 2 Jena07743 Germany Computer Science & Engineering University of Minnesota MinneapolisMN55455 United States Research Group Medical Systems Biology Christian-Albrechts-University Kiel Brunswiker Straße 10 Kiel24105 Germany

For producing ATP, tumor cells rely on glycolysis leading to lactate to about the same extent as on respiration. Thus, they use a higher fraction of glycolysis than the corresponding healthy cells. This is known as the Warburg effect (named after German biochemist Otto Warburg) and also applies to striated muscle cells, activated lymphocytes and microglia, endothelial cells and several other cell types. This effect is paradoxical at first sight because the ATP yield of glycolysis is much lower than that of respiration. Although a straightforward explanation is that glycolysis allows a higher ATP production rate, the question arises why the cell does not re-allocate protein to the high-yield pathway of respiration. We tackle this question by a minimal model only including three combined reactions. We consider the case where the cell can allocate protein on several enzymes in a varying distribution and model this by a linear programming problem in which not only the rates but also the maximal velocities are variable. Depending on side conditions and on protein costs, this leads to pure respiration, pure glycolysis, and respirofermentation as a mixed flux distribution. © 2015 German Conference on Bioinformatics, GCB 2015. All rights reserved.

关键词： Cytology

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CLUSTERED control OF TRANSITION-INDEPENDENT MDPS

arXiv

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arXiv 2022年

作者： Fiscko, Carmel Kar, Soummya Sinopoli, Bruno Dept. of Electrical and Computer Engineering Carnegie Mellon University United States Dept. of Electrical and Systems Engineering Washington University in St. Louis MO at 1 Brookings Dr St. LouisMO63130 United States

This work studies efficient solution methods for cluster-based control policies of transition-independent Markov decision processes (TI-MDPs). We focus on control of multi-agent systems, whereby a central planner (CP) influences agents to select desirable group behavior. The agents are partitioned into disjoint clusters whereby agents in the same cluster receive the same controls but agents in different clusters may receive different controls. Under mild assumptions, this process can be modeled as a TI-MDP where each factor describes the behavior of one cluster. The action space of the TI-MDP becomes exponential with respect to the number of clusters. To efficiently find a policy in this rapidly scaling space, we propose a clustered Bellman operator that optimizes over the action space for one cluster at any evaluation. We present Clustered Value Iteration (CVI), which uses this operator to iteratively perform "round robin" optimization across the clusters. CVI converges exponentially faster than standard value iteration (VI), and can find policies that closely approximate the MDP’s true optimal value. A special class of TI-MDPs with separable reward functions are investigated, and it is shown that CVI will find optimal policies on this class of problems. Finally, the optimal clustering assignment problem is explored. The value functions TI-MDPs with submodular reward functions are shown to be submodular functions, so submodular set optimization may be used to find a near optimal clustering assignment. We propose an iterative greedy cluster splitting algorithm, which yields monotonic submodular improvement in value at each iteration. Finally, simulations offer empirical assessment of the proposed methods. © 2022, CC BY.

关键词： Markov processes

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Evaluation of a Closed Loop Inductive Power Transmission System on an Awake Behaving Animal Subject

Evaluation of a Closed Loop Inductive Power Transmission Sys...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Mehdi Kiani Ki Yong Kwon Fei Zhang Karim Oweiss Maysam Ghovanloo GT-Bionics Lab School of Electrical and Computer Engineering at Georgia Institute of Technology Neural Systems Engineering Lab ECE Dept. College of Eng. at Michigan State University ECE Dept. and Neuroscience Program at Michigan State University

ISBN: (纸本)9781424441211

This paper presents in vivo experimental results for a closed loop wireless power transmission system to implantable devices on an awake behaving animal subject. In this system, wireless power transmission takes place across an inductive link, controlled by a commercial off-the-shelf (COTS) radio frequency identification (RFID) transceiver (TRF7960) operating at 13.56 MHz. Induced voltage on the implantable secondary coil is rectified, digitized by a 10-bit analog to digital converter, and transmitted back to the primary via back telemetry. Transmitter (Tx) and receiver (Rx) circuitry were mounted on the back of an adult rat with a nominal distance of ～7 mm between their coils. Our experiments showed that the closed loop system was able to maintain the Rx supply voltage at the designated 3.8 V despite changes in the coils' relative distance and alignment due to animal movements. The Tx power consumption changed between 410 ～ 560 mW in order to deliver 27 mW to the receiver. The open loop system, on the other hand, showed undesired changes in the Rx supply voltage while the Tx power consumption was constant at 660 mW.

关键词： Coils Inductive power transmission Closed loop systems awake Induction loop systems analog digital converter supply voltage Power consumption Implants and Prostheses Contraceptive Coil Radio frequency identification Back Open loop systems Digitizers

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ACT-Net: Anchor-context Action Detection in Surgery Videos

arXiv

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arXiv 2023年

作者： Hao, Luoying Hu, Yan Lin, Wenjun Wang, Qun Li, Heng Fu, Huazhu Duan, Jinming Liu, Jiang School of Computer Science University of Birmingham United Kingdom Research Institute of Trustworthy Autonomous Systems Dept. of Computer Science and Engineering Southern University of Science and Technology China Dept. of Mechanical Engineering National University of Singapore Singapore Third medical center of Chinese PLAGH China Singapore

Recognition and localization of surgical detailed actions is an essential component of developing a context-aware decision support system. However, most existing detection algorithms fail to provide high-accuracy action classes even having their locations, as they do not consider the surgery procedure’s regularity in the whole video. This limitation hinders their application. Moreover, implementing the predictions in clinical applications seriously needs to convey model confidence to earn entrustment, which is unexplored in surgical action prediction. In this paper, to accurately detect fine-grained actions that happen at every moment, we propose an anchor-context action detection network (ACTNet), including an anchor-context detection (ACD) module and a class conditional diffusion (CCD) module, to answer the following questions: 1) where the actions happen;2) what actions are;3) how confidence predictions are. Specifically, the proposed ACD module spatially and temporally highlights the regions interacting with the extracted anchor in surgery video, which outputs action location and its class distribution based on anchor-context interactions. Considering the full distribution of action classes in videos, the CCD module adopts a denoising diffusion-based generative model conditioned on our ACD estimator to further reconstruct accurately the action predictions. Moreover, we utilize the stochastic nature of the diffusion model outputs to access model confidence for each prediction. Our method reports the state-of-the-art performance, with improvements of 4.0% mAP against baseline on the surgical video dataset. Copyright © 2023, The Authors. All rights reserved.

关键词： Diffusion

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Transfer Learning across Networks for Collective Classification

Transfer Learning across Networks for Collective Classificat...

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IEEE International Conference on Data Mining (ICDM)

作者： Meng Fang Jie Yin Xingquan Zhu Centre for Quantum Computation & Intelligent Systems University of Technology Sydney Australia Computational Informatics CSIRO Australia Dept. of Computer & Electrical Engineering and Computer Science Florida Atlantic University USA

ISBN: (纸本)9781479913282

This paper addresses the problem of transferring useful knowledge from a source network to predict node labels in a newly formed target network. While existing transfer learning research has primarily focused on vector-based data, in which the instances are assumed to be independent and identically distributed, how to effectively transfer knowledge across different information networks has not been well studied, mainly because networks may have their distinct node features and link relationships between nodes. In this paper, we propose a new transfer learning algorithm that attempts to transfer common latent structure features across the source and target networks. The proposed algorithm discovers these latent features by constructing label propagation matrices in the source and target networks, and mapping them into a shared latent feature space. The latent features capture common structure patterns shared by two networks, and serve as domain-independent features to be transferred between networks. Together with domain-dependent node features, we thereafter propose an iterative classification algorithm that leverages label correlations to predict node labels in the target network. Experiments on real-world networks demonstrate that our proposed algorithm can successfully achieve knowledge transfer between networks to help improve the accuracy of classifying nodes in the target network.

关键词： Subspace constraints Knowledge engineering Prediction algorithms Convergence Optimization Iterative methods Knowledge transfer

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