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2024 International Conference on Brain computer Interface and Healthcare Technologies, iCon-BCIHT 2024

作者： Sooda, Kavitha Indiramma, M. Kubakaddi, Sanjeev B.M.S. College of Engineering Department of Computer Science and Engineering Bangalore India B.M.S. College of Engineering Department of AI and DS Bangalore India Itie Knowledge Solutions Bangalore India

ISBN: (纸本)9798331540067

The study on brain signals to understand working memory in undergraduate students has yielded promising results. However, the challenge remains in accurately assessing different brain activities. This work seeks to measure concentration in cognitive performance, offering a detailed dataset that tracks how individuals respond to cognitive tasks. A virtual reality-based solution has proven effective in capturing the P300 signal, providing a more focused and accurate measurement platform. The study aims to evaluate the efficacy of P300 signals as indicators of attention and cognitive engagement in educational settings. A brain-computer interface system, Impulse Neiry, captured and analyzed P300 signals from undergraduate students while performing various cognitive tasks. User attention span was evaluated by measuring parameters such as session duration and interaction frequency with the software, offering insights into the system's usability. The results indicated that participants experienced about 35% deeper relaxation, and their attention spans increased by 18.97% compared to baseline engagement levels. © 2024 IEEE.

关键词： Virtual reality

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Senzi: A sentiment analysis lexicon for the latinised Arabic (Arabizi) 12

Senzi: A sentiment analysis lexicon for the latinised Arabic...

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12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019

作者： Tobaili, Taha Fernandez, Miriam Alani, Harith Sharafeddine, Sanaa Hajj, Hazem Glavaš, Goran Knowledge Media Institute Open University United Kingdom Department of Computer Science and Mathematics Lebanese American University Lebanon Department of Electrical and Computer Engineering American University of Beirut Lebanon Data and Web Science Group Universität Mannheim Germany

ISBN: (纸本)9789544520557

Arabizi is an informal written form of dialectal Arabic transcribed in Latin alphanumeric characters. It has a proven popularity on chat platforms and social media, yet it suffers from a severe lack of natural language processing (NLP) resources. As such, texts written in Arabizi are often disregarded in sentiment analysis tasks for Arabic. In this paper we describe the creation of a sentiment lexicon for Arabizi that was enriched with word embeddings. The result is a new Arabizi lexicon consisting of 11.3K positive and 13.3K negative words. We evaluated this lexicon by classifying the sentiment of Arabizi tweets achieving an F1-score of 0.72. We provide a detailed error analysis to present the challenges that impact the sentiment analysis of Arabizi. © 2019 Association for Computational Linguistics (ACL). All rights reserved.

关键词： Sentiment analysis

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Complete 3D model reconstruction using a depth sensor

Complete 3D model reconstruction using a depth sensor

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2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010

作者： Mu, Guangyu Liao, Miao Yang, Ruigang Ouyang, Dantong Xu, Zhiwen Guo, Xiaoxin Department of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of MOE Changchun China Department of Engineering University of Kentucky Center for Visualization and Virtual Environment Lexington United States

ISBN: (纸本)9781424468355

We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and a depth sensor. The reconstruction of a 3D model consists of four key steps: (i) Initial alignment either feature tracking or the 4-points congruent sets algorithm is used to align surfaces captured at different frames. (ii)The iterative closest point (ICP) method is applied to further align the piecewise surfaces from the last step. (iii) The surfaces are merged into a whole 3D model by the volumetric method. (iv) In the refinement step, we fill holes and produce a complete 3D model that approximates the original model with robust repair of polygonal models. At last, we present the experimental results which show that the errors between our reconstructed model and the ground truth are less than 1 %. © 2010 IEEE.

关键词： Three dimensional computer graphics

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Decision Analytics for Sustainable Development in Smart Society 5.0 1

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丛书名： Asset Analytics

1000年

作者： Vikram Bali Vishal Bhatnagar Joan Lu Kakoli Banerjee

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A Geothermal Multigeneration System Integrating an ORC Configuration with an Open-Feed Heater for Electricity/H 2 /Cooling Production: Techno-Economic Optimization Using a Genetic Algorithm

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International Journal of Refrigeration 2025年

作者： Lel Chang Ali Basem Ahmad Almadhor Dyana Aziz Bayz Sarminah Samad Mohamed Ayadi Essam R. El-Zahar Barno Abdullaeva Abdulrahman Alansari H. Elhosiny Ali School of Economics and Management Anhui University of Science and Technology Taifeng Road 168 Huainan 232001 Anhui Province PR China Faculty of Engineering Warith Al-Anbiyaa University Karbala 56001 Iraq Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia Department of Petroleum Engineering College of Engineering Knowledge university Erbil Iraq Department of Management College of Business Administration Princess Nourah bint Abdulrahman University Riyadh 11671 Saudi Arabia Department of Mathematics College of Science Majmaah University Al-Majmaah 11952 Saudi Arabia Department of Mathematics College of Science and Humanities in Al-Kharj Prince Sattam bin Abdulaziz University Al-Kharj 11942 Saudi Arabia Department of Basic Engineering Sciences Faculty of Engineering Menoufia University Shebin El-Kom 32511 Egypt Department of Mathematics and Information Technologies Vice-Rector for Scientific Affairs Tashkent State Pedagogical University Tashkent Uzbekistan Department of Mechanical Engineering College of Engineering University of Business and Technology Jeddah 21361 Saudi Arabia Physics Department Faculty of Science King Khalid University P.O. Box 9004 Abha Saudi Arabia

This research presents a novel geothermal-based multigeneration framework engineered to supply electric energy, hydrogen gas, and chilled water. The framework incorporates an organic Rankine cycle (ORC) with an open feed heater (OFH), a Kalina cycle (KC), an absorption refrigeration cycle (ARC), and a PEM electrolyzer (PEME). A comprehensive thermodynamic and economic evaluation is performed, followed by a multi-objective optimization using NSGA-II in MATLAB to maximize exergetic performance and minimize cost. Key parameters include geothermal fluid temperature, mass flow rate, ORC turbine inlet temperature, and evaporator pinch point temperature difference (PPTD). The ORC exhibits the highest exergy destruction (42%), trailed by the KC (26%) and PEME (19%), while the ARC contributes the least (13%). Elevating geothermal fluid temperature significantly enhances exergy efficiency and hydrogen output, although costs increase. Enhancing the mass flow rate from 5 kg/s to 18 kg/s substantially improves power generation and cooling capacity but diminishes efficiency and escalates equipment expenses. Increasing the evaporator PPTD reduces power output and hydrogen production yet increases chilled water generation and slightly lowers the overall cost rate. Under optimal conditions, the plant achieves the exergetic performance of 38.56% and a cost rate of 17.11 $/h, highlighting the potential of this integrated approach to deliver sustainable, cost-effective solutions for electricity generation, refrigeration, and hydrogen production from geothermal resources.

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GEOM-GCN: GEOMETRIC GRAPH CONVOLUTIONAL NETWORKS 8

GEOM-GCN: GEOMETRIC GRAPH CONVOLUTIONAL NETWORKS

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8th International Conference on Learning Representations, ICLR 2020

作者： Pei, Hongbin Wei, Bingzhe Chang, Kevin Chen-Chuan Lei, Yu Yang, Bo College of Computer Science and Technology Jilin University China Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign United States Department of Computer Science University of Illinois Urbana-Champaign United States Department of Computing Hong Kong Polytechnic University Hong Kong Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China

Message-passing neural networks (MPNNs) have been successfully applied to representation learning on graphs in a variety of real-world applications. However, two fundamental weaknesses of MPNNs' aggregators limit their ability to represent graph-structured data: losing the structural information of nodes in neighborhoods and lacking the ability to capture long-range dependencies in disassortative graphs. Few studies have noticed the weaknesses from different perspectives. From the observations on classical neural network and network geometry, we propose a novel geometric aggregation scheme for graph neural networks to overcome the two weaknesses. The behind basic idea is the aggregation on a graph can benefit from a continuous space underlying the graph. The proposed aggregation scheme is permutation-invariant and consists of three modules, node embedding, structural neighborhood, and bi-level aggregation. We also present an implementation of the scheme in graph convolutional networks, termed Geom-GCN, to perform transductive learning on graphs. Experimental results show the proposed Geom-GCN achieved state-of-the-art performance on a wide range of open datasets of graphs. © 2020 8th International Conference on Learning Representations, ICLR 2020. All rights reserved.

关键词： Message passing

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Evaluating Natural Language Descriptions Generated in a Workspace-Based Architecture 12

Evaluating Natural Language Descriptions Generated in a Work...

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12th International Conference on Computational Creativity, ICCC 2021

作者： Wright, George A. Purver, Matthew Cognitive Science Research Group School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Department of Knowledge Technologies Jožef Stefan Institute Ljubljana Slovenia

ISBN: (纸本)9789895416035

This paper concerns the evaluation of a workspace architecture for generating natural language descriptions, including methods for evaluating both its output and its own self-evaluation. Herein are details of preliminary results from evaluation of an early iteration of the architecture operating in the domain of weather. The domain is not typically seen as creative, but provides a simple testbed for the architecture and evaluation methodology. The program does not yet match humans in terms of fluency of language, factual correctness, and how completely the input is described, but human judges did find the program’s output easier to read than human generated texts. Planned improvements to the program also described in the paper will incorporate self-monitoring and better self-evaluation with the aim of producing descriptions that are more fluently written and more accurate. © ICCC *** rights reserved.

关键词： Architecture

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An open source tool for heart rate variability wavelet-based spectral analysis

An open source tool for heart rate variability wavelet-based...

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International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012

作者： García, Constantino A. Otero, Abraham Vila, Xosé Lado, María J. Department of Software and Knowledge Engineering University San Pablo CEU 28668 Madrid Spain Department of Computer Science University of Vigo Campus As Lagoas s/n 32004 Ourense Spain

ISBN: (纸本)9789898425898

Heart rate variability (HRV) power spectrum analysis is a well-known technique used to study the activity of the autonomic nervous system. It is performed by calculating the spectral power of certain bands of the RR time series. There are several tools that perform this type of analysis: Kubios HRV, PhysioNet's HRV toolkit for MatLab and aHRV, among others. All these tools use the Short Fourier Transform to estimate spectral power. However, the RR time series is a non-stationary signal. The Wavelet transform is often a more suitable tool for analyzing non-stationary signals than the Short Time Fourier Transform. Its usefulness in HRV analysis has already been proven in the literature. However, the lack of HRV analysis tools that support it has made this technique underutilized in HRV studies. In this paper we present an extension to the RHRV opensource package that enables Wavelet-based HRV spectral analysis. Until now this package only supported HRV spectral analysis based on the Fourier transform.

关键词： Spectrum analysis

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A trajectory approach to causality

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Studia Logica 2001年第3期67卷 385-401页

作者： Jauregui, Victor Pagnucco, Maurice Foo, Norman Knowledge Systems Group School of Computer Science and Engineering University of New South Wales NSW 2052 Australia Computational Reasoning Group Department of Computing Macquarie University NSW 2109 Australia

In this paper we propose a new approach to address the ramification problem in common-sense reasoning about action and change. We contrast the methods of McCain and Turner [6], Thielscher [10] and Sandewall [8] and, based on some of the limitations they encounter, we introduce a trajectory-based approach which keeps a history of the states through which a system evolves to characterise its dynamical state. We furnish an underlying state-transition semantics and a logic that admits an expressive, dynamical account of some typical scenarios which encounter modelling difficulties in the other approaches mentioned. © 2001 Kluwer Academic Publishers.

关键词： Causality Commonsense Reasoning Ramification Problem Reasoning about Action and Change Trajectory Semantics

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Agents deliberating over action proposals using the ProCLAIM model

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5th International Central and Eastern European Conference on Multi-Agent Systems

作者： Tolchinsky, Pancho Atkinson, Katie McBurney, Peter Modgil, Sanjay Cortes, Ulises Knowledge Engineering and Machine Learning Group Technical University of Catalonia Spain Department of Computer Science University of Liverpool Liverpool United Kingdom Advanced Computation Lab. Cancer Research UK

ISBN: (纸本)9783540752530

In this paper we propose a dialogue game for agents to deliberate over a proposed action. The agents' dialogue moves are defined by a structured set of argument schemes and critical questions (CQs). Thus, a dialogue move is an instantiated scheme (i.e. an argument) or a CQ (i.e. a challenge on the argument instantiated in the scheme). The proposed dialogue game formalises the protocol based exchange of arguments defined in the ProCLAIM model. This model provides a setting for agents to deliberate over whether, given the arguments for and against, a proposed action is justified or not.

关键词： Software agents

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