Browsing Faculty of Engineering by Title
Now showing items 872-891 of 3117
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An experimental study of impinging synthetic jets for heat transfer augmentation
(World Scientific Publishing Co, 2015-07)According to recent trends in the field of miniature electronics, the need for compact cooling solutions compatible with very thin profiles and small footprint areas is inevitable. Impinging synthetic jets are recognized ... -
An experimental study of underwater visible light communication
(IEEE, 2022)Visible light communication (VLC) has emerged as a powerful high-data-rate alternative to conventional underwater acoustic technology for short and medium link distances. In this paper, we develop an experimental underwater ... -
Experimental study on heat transfer of multi-walled carbon nanotubes/water nanofluids in horizontal microtubes
(ASME, 2016)In this study, heat transfer characteristics of multi-walled carbon nanotube based nanofluids were investigated in horizontal microtubes with outer and inner diameters of ∼1067 and ∼889 μm, respectively. Carbon nanotubes ... -
An experimental study on the frost formation over a flat plate: Effect of frosting on heat transfer
(Elsevier, 2023-06-01)Frost accumulation on cooled surfaces generates thermal barrier between the surface and air. Apart from the frost layer thickness, the thermal properties of the frost also affect its heat transfer characteristics. In this ... -
An experimental study on the heat transfer and wettability characteristics of micro-structured surfaces during water vapor condensation under different pressure conditions
(Elsevier, 2021-01)In this study, condensation characteristics of water vapor on micro-structured surfaces at different pressures and subcooling temperature has been investigated experimentally. This work represents a basic study in order ... -
Experimental validation of a novel RLL code for visible light communication
(IEEE, 2020)Flicker arising in visible light communication (VLC) system is typically mitigated by run-length-limited (RLL) codes. The IEEE 802.15.7 standard proposes RLL codes according to the modulation type and data rate. In this ... -
Explain to me: Towards understanding privacy decisions
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2023)Privacy assistants help users manage their privacy online. Their tasks could vary from detecting privacy violations to recommending sharing actions for content that the user intends to share. Recent work on these tasks are ... -
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Explanation-based negotiation protocol for nutrition virtual coaching
(ACM, 2023)People’s awareness about the importance of healthy lifestyles is rising. This opens new possibilities for personalized intelligent health and coaching applications. In particular, there is a need for more than simple ... -
Exploration with intrinsic motivation using object–action–outcome latent space
(IEEE, 2023-06)One effective approach for equipping artificial agents with sensorimotor skills is to use self-exploration. To do this efficiently is critical, as time and data collection are costly. In this study, we propose an exploration ... -
Exploratory study of χc1(4140) and like states in QCD sum rules
(Elsevier, 2019-05)In this work, we chose three molecular and three diquark-antidiquark currents with the quark content c (c) over bars (s) over bar and J(PC) = 0(++), 1(++), 2(++), and estimated the masses and the meson coupling constants ... -
Exploring covalent organic frameworks for H2S+CO2 separation from natural gas using efficient computational approaches
(Elsevier, 2022-08)Covalent organic frameworks (COFs) are emerged as strong adsorbent candidates for industrial gas separation applications due to their highly porous structures. In this work, we explored H2S+CO2 capture potentials of ... -
Exploring scaling efficiency of intel loihi neuromorphic processor
(IEEE, 2023)In this paper, we focus on examining how scaling efficiency evolves in winner-take-all (WTA) network models on Intel Loihi neuromorphic processor, as network-related features such as network size, neuron type, and connectivity ... -
Exploring the performance limits of MOF/polymer MMMs for O2/N2 separation using computational screening
(Elsevier, 2021-01-15)Air separation is one of the most challenging separations because of the very similar molecular dimensions of gas molecules. We used a high-throughput computational screening approach to identify the upper performance ... -
Extending static code analysis with application-specific rules by analyzing runtime execution traces
(Springer International Publishing, 2016)Static analysis tools cannot detect violations of application-specific rules. They can be extended with specialized checkers that implement the verification of these rules. However, such rules are usually not documented ... -
An extension to the classical mean–variance portfolio optimization model
(Taylor & Francis, 2019-07)The purpose of this study is to find a portfolio that maximizes the risk-adjusted returns subject to constraints frequently faced during portfolio management by extending the classical Markowitz mean-variance portfolio ... -
An extensive comparative analysis of two MOF databases: high-throughput screening of computation-ready MOFs for CH4 and H2 adsorption
(Royal Society of Chemistry, 2019-04-28)Computation-ready metal-organic framework (MOF) databases (DBs) have tremendous value since they provide directly useable crystal structures for molecular simulations. The currently available two DBs, the CoRE DB ... -
Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements
(Springer Nature, 2020-01-03)New sets of CMS underlying-event parameters ("tunes") are presented for the pythia8 event generator. These tunes use the NNPDF3.1 parton distribution functions (PDFs) at leading (LO), next-to-leading (NLO), or next-to-ne ... -
Extraction of novel features based on histograms of MFCCs used in emotion classification from generated original speech dataset
This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from ... -
Extraction of novel features based on histograms of mfccs used in emotion classification from generated original speech dataset
(Kauno Technologijos Universitetas, 2020-02-17)This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from ...
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