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2017 Joint Ontology Workshops Episode 3: The Tyrolean Autumn of Ontology, JOWO 2017

作者： Macbeth, Jamie C. Department of Electrical and Computer Systems Engineering Fairfield University FairfieldCT06824 United States

Natural language is an ideal mode of interaction and knowledge sharing between intelligent computer systems and their human users. But a major problem that natural language interaction poses is linguistic variation, or the "paraphrase problem": there are a variety of ways of referring to the same idea. This is a special problem for intelligent systems in domains such as information retrieval, where a query presented in natural language is matched against an ontology or knowledge base, particularly when its representation uses a vocabulary based in natural language. This paper proposes solutions to these problems in primitive decomposition methods that represent concepts in terms of structures reflecting low-level, embodied human cognition. We argue that this type of representation system engenders richer relations between natural language expressions and knowledge structures, enabling more effective interactive knowledge sharing. © 2017 CEUR-WS. All rights reserved.

关键词： Intelligent systems

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An Advanced Visualisation Engine with Role-Based Access Control for Building Energy Visual Analytics 13

An Advanced Visualisation Engine with Role-Based Access Cont...

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13th International Conference on Information, Intelligence, systems and Applications, IISA 2022

作者： Kormpakis, Georgios Kapsalis, Panagiotis Alexakis, Konstantinos Pelekis, Sotiris Karakolis, Evangelos Doukas, Haris National Technical University of Athens Decision Support Systems Laboratory School of Electrical and Computer Engineering Athens Greece

ISBN: (数字)9781665463904

ISBN: (纸本)9781665463904

One of the main challenges of today's societies is the avoidance of the climate change since the climate crisis in now more evident than ever. Buildings have a large share of total energy consumption and, thus, it is obvious that actions should be taken to reduce their needs. Taking into consideration that nowadays data related to building's metrics are available in significantly higher rate than in the past, due to the advance of the related technologies, it is necessary to find ways to exploit them in order to draw useful inferences regarding their consumptions and how they can be reduced. For that reason, in this paper we present a Visualisation Engine, which offers a variety of visualisations over stored data. With the usage of the proposed Visualisation Engine, we envision to be able to conduct sufficient research over the data, to generate insightful information regarding their behaviour, and to assist the development of useful solutions towards the direction of more energy efficient buildings. © 2022 IEEE.

关键词： Energy efficiency

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Robust Wiener-Kolmogorov Theory

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IEEE Transactions on Information Theory 1984年第2期30卷 316-327页

作者： Vastola, Kenneth S. Poor, H. Vincent Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12181 United States Department of Electrical Engineering and The Coordinated Science Laboratory University of Illinois at Urbana-Champaign IL 61801 Urbana United States

A minimax formulation is considered for the problem of designing robust linear causal estimators of linear functions of discrete-time wide-sense stationary signals when knowledge of the signal and / or noise spectra is inexact. The solution is given (under mild regularity conditions) in terms of a least favorable pair of spectra, thus reducing the minimax problem to a direct maximization problem which in many cases can be solved easily. It is noted that this design method leads, in particular, to robust n-step predictors, robust causal filters, and robust n-lag smoothers. The method of design is illustrated by a thorough development of the special case of one-step noiseless prediction. Further, solutions are given explicitly for the problem of robust causal filtering of an uncertain signal in white noise, and numerical examples are given for this case which illustrate the effectiveness of this design. © 1984 IEEE

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Accelerated dual descent for network optimization

Accelerated dual descent for network optimization

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作者： Zargham, Michael Ribeiro, Alejandro Ozdaglar, Asuman Jadbabaie, Ali Department of Electrical and Systems Engineering University of Pennsylvania United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology United States

ISBN: (纸本)9781457700804

Dual descent methods are commonly used to solve network optimization problems because their implementation can be distributed through the network. However, their convergence rates are typically very slow. This paper introduces a family of dual descent algorithms that use approximate Newton directions to accelerate the convergence rate of conventional dual descent. These approximate directions can be computed using local information exchanges thereby retaining the benefits of distributed implementations. The approximate Newton directions are obtained through matrix splitting techniques and sparse Taylor approximations of the inverse Hessian. We show that, similarly to conventional Newton methods, the proposed algorithm exhibits superlinear convergence within a neighborhood of the optimal value. Numerical analysis corroborates that convergence times are between one to two orders of magnitude faster than existing distributed optimization methods. © 2011 AACC American Automatic Control Council.

关键词： Newton-Raphson method

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Flexible, transparent, pressure-sensitive microfluidic array for artificial tactile applications

Flexible, transparent, pressure-sensitive microfluidic array...

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2014 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head 2014

作者： Li, R. Nie, B. Digiglio, P. Pan, T. Laboratory Department of Biomedical Engineering Department of Electrical and Computer Engineering University of California DavisCA United States

ISBN: (纸本)9781940470016

This paper reports the first effort to achieve large-area dynamic pressure mapping by a flexible and transparent microfluidic film, referred to as microflotronics, facilitating seamless integration with state-of-the-art microelectronics. The microflotronic devices offer a sensitivity of 0.45 kPa-1 and response time in millisecond range, which is at least an order of magnitude faster than that of its conventional solid-state counterparts. Several practical applications were successfully demonstrated, including surface topology mapping and dynamic blood pressure monitoring. The microflotronic devices offer an alternative approach to the solid-state pressure sensors, by offering an unprecedented sensitivity and ultrafast response time in a completely transparent, flexible and adaptive platform. © 2014TRF.

关键词： Microfluidics

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Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain 14

Comparison of Machine Learning Algorithms For Predicting CO2...

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14th International Conference on Information, Intelligence, systems and Applications, IISA 2023

作者： Michalakopoulos, Vasilis Ilias, Loukas Kapsalis, Panagiotis Mouzakitis, Spiros Askounis, Dimitris School of Electrical & Computer Engineering National Technical University of Athens Decision Support Systems Laboratory Athens Greece

ISBN: (纸本)9798350318067

The maritime industry is a significant source of global carbon dioxide (CO2) emissions, and the accurate prediction of emissions in this domain is of paramount importance. In this paper, we conduct a comparative analysis of machine learning algorithms for predicting CO2 emissions in the maritime domain. Using a unique dataset, comprising historical maritime data for different vessel voyages, including vessel type, voyage information and environmental factors, we employ decision trees, a number of regression, and artificial neural network algorithms. Performance evaluation is conducted using established metrics such as R2 (%), Mean Absolute Error, Normalized Root Mean Squared Error and Symmetric Mean Biased Error. Our findings reveal that the Extra Trees Regressor and Multi-layer Perceptron regressor algorithms outperform the other methods in terms of prediction accuracy demonstrating the least amount of error. Our research contributes to the existing literature by highlighting the potential of machine learning in predicting maritime CO2 emissions and provides insights for further research, such as exploring alternative algorithms and incorporating real-time data Integration. © 2023 IEEE.

关键词： Carbon dioxide

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A comparative techno-economic study of the Net-Metering and Net-Billing self-consumption schemes for industrial and residential consumers in Greece

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Sustainable Energy, Grids and Networks 2025年 43卷

作者： Simoglou, Christos K. Vagropoulos, Stylianos I. Biskas, Pandelis N. Department of Mechanical Engineering International Hellenic University Serres 62124 GR Greece Department of Energy Systems University of Thessaly Gaiopolis Campus - Ring Road of Larissa-Trikala Larissa 41500 GR Greece Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki 54124 GR Greece

This paper presents a comparative techno-economic study of the net-metering and net-billing self-consumption schemes when applied to industrial and residential consumers that are equipped with a PV system in their premises. Fixed-tilt and single-axis tracking PV mounting systems have been considered, whereas the multiple cost components of the supply and regulated charges have been explicitly modeled and analyzed. Real-life electricity consumption and PV generation data have been used along with detailed wholesale electricity market data derived by an analytical long-term chronological simulation of the Greek wholesale electricity market under hourly time granularity for a 20-year study period (2026–2045) using a specialized integrated market simulation software. Simulation results show that the installation of an on-site PV system can lead to notable annual electricity cost savings for both consumer types and self-consumption schemes. The co-evaluation of the annual cost savings with the project investment and operational costs in the long-term provides further insights into the impact that the adopted self-consumption scheme along with the selected PV mounting system and the capital expenditure may have on standard project valuation indicators for each consumer type. © 2025 The Authors

关键词： Industrial consumer Net-billing Net-metering Residential consumer Self-consumption Wholesale electricity market

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Optimizing Sparse Matrix-Vector Multiplication using index and value compression 08

Optimizing Sparse Matrix-Vector Multiplication using index a...

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2008 Conference on Computing Frontiers, CF'08

作者： Kourtis, Kornilios Goumas, Georgios Koziris, Nectarios Computing Systems Laboratory National Technical University of Athens School of Electrical and Computer Engineering Zografou 15780 Greece

ISBN: (纸本)9781605580777

Previous research work has identified memory bandwidth as the main bottleneck of the ubiquitous Sparse Matrix-Vector Multiplication kernel. To attack this problem, we aim at reducing the overall data volume of the algorithm. Typical sparse matrix representation schemes store only the nonzero elements of the matrix and employ additional indexing information to properly iterate over these elements. In this paper we propose two distinct compression methods targeting index and numerical values respectively. We perform a set of experiments on a large real-world matrix set and demonstrate that the index compression method can be applied successfully to a wide range of matrices. Moreover, the value compression method is able to achieve impressive speedups in a more limited yet important class of sparse matrices that contain a small number of distinct values. Copyright 2008 ACM.

关键词： Matrix algebra

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Assessment of Energy Management Strategies in Buildings Equipped with Modulating Heat Pumps 2

Assessment of Energy Management Strategies in Buildings Equi...

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2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022

作者： Efkarpidis, Nikolaos A. Christoforidis, Georgios C. Papagiannis, Grigoris K. University of Applied Sciences and Arts Northwestern Switzerland Institute of Electric Power Systems Windisch Switzerland University of Western Macedonia Department of Electrical and Computer Engineering Kozani Greece Aristotle University of Thessaloniki Power Systems Laboratory School of Electrical & Computer Engineering Thessaloniki Greece

ISBN: (数字)9781665461078

ISBN: (纸本)9781665461078

Buildings equipped with battery energy storages (BES), thermal energy storages (TES), Photovoltaics (PV), solar thermal collectors (STC) and modulating heat pumps (HP) can significantly enhance the energy management potential. The energy management systems are mainly based on self-consumption maximization (SCM) and time-of-use arbitrage (ToUA). In terms of electricity pricing, dynamic pricing policies with two, three tariff zones or real-time pricing (RTP) are mostly applied. In this study, different control algorithms based on the concepts of SCM and ToUA are evaluated for a complex energy system consisted of BES, TES, PV, STC and HPs with variable-speed compressors. The performance of the proposed energy management strategies is assessed under ToU and RTP pricing regimes. © 2022 IEEE.

关键词： Costs

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Language Models as Knowledge Bases for Visual Word Sense Disambiguation 1

Language Models as Knowledge Bases for Visual Word Sense Dis...

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1st Workshop on Knowledge Base Construction from Pre-Trained Language Models and the 2nd Challenge on Language Models for Knowledge Base Construction, KBC-LM + LM-KBC 2023

作者： Kritharoula, Anastasia Lymperaiou, Maria Stamou, Giorgos Artificial Intelligence and Learning Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens Greece

Visual Word Sense Disambiguation (VWSD) is a novel challenging task that lies between linguistic sense disambiguation and fine-grained multimodal retrieval. The recent advancements in the development of visiolinguistic (VL) transformers suggest some off-the-self implementations with encouraging results, which however we argue that can be further improved. To this end, we propose some knowledge-enhancement techniques towards improving the retrieval performance of VL transformers via the usage of Large Language Models (LLMs) as Knowledge Bases. More specifically, knowledge stored in LLMs is retrieved with the help of appropriate prompts in a zero-shot manner, achieving performance advancements. Moreover, we convert VWSD to a purely textual question-answering (QA) problem by considering generated image captions as multiple-choice candidate answers. Zero-shot and few-shot prompting strategies are leveraged to explore the potential of such a transformation, while Chain-of-Thought (CoT) prompting in the zero-shot setting is able to reveal the internal reasoning steps an LLM follows to select the appropriate candidate. In total, our presented approach is the first one to analyze the merits of exploiting knowledge stored in LLMs in different ways to solve WVSD. © 2023 CEUR-WS. All rights reserved.

关键词： Computational linguistics

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