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 me...
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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 languag...
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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 ...
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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 f...
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.
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 ...
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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 prelimin...
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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 t...
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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.
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, b...
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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 dialog...
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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.
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