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1st International Conference on Advances in science, Engineering and Robotics Technology, ICASERT 2019

作者： Ahmed, Eshtiak Hasan, Md. Mahade Faruk, Mirza Omar Hossain, Muhammad Farhad Rahman, Md. Arifur Islam, Ashraful Daffodil International University Dept. of Computer Science and Engineering Dhaka Bangladesh University of Louisiana at Lafayette School of Computing and Informatics Louisiana United States

ISBN: (纸本)9781728134451

A major population of 3rd world countries have problems reading out texts because of the low literacy rate. While smartphones have given them a hope to lead a better life, interacting with them needs a certain level of literacy which a majority of them lack. Given the rapid growth of variation in this user base, it is evident that interactive graphical representations can give a better understanding of contents especially to the children and to the illiterate people. This work emphasizes on making the Google Play App Store more usable as this is the most used app for smartphone users. In this study, new icons have been designed and then compared side by side with 16 existing Google Play Store app category icons to initially find out the legitimacy of the new icons. Further, a survey between smartphone users has been conducted and the results show that the new icons fare better while representing app categories. Based on the survey results and more widely accepted icons, some key factors to design icons have been identified. © 2019 IEEE.

关键词： Smartphones

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Numerical analysis of unsteady free convection of Al₂O₃ inside a tubular reactor under the influences of exothermic reaction, and inclined MHD as an application to chemical reactor

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Results in Physics 2024年 65卷

作者： Alaydamee, Hussein H. Alomari, Mohammed Azeez Al-Salami, Qusay H. Alyousuf, Farah Q.A. Alqurashi, Faris Flayyih, Mujtaba A. Department of Chemical Engineering University of Al-Qadisiyah College of Engineering Al-Qadisiyah 58002 Iraq Department of Mechanical Engineering University of Al-Qadisiyah Ad-Diwaniyah 58001 Iraq College of Engineering University of Warith Al-Anbiyaa Karbala Iraq Department of Business Administration College of Administrative and Financial Sciences Cihan University-Erbil Iraq Department of Computer Network College of Engineering and Computer Science Lebanese French University Kurdistan Region Erbil Iraq Mechanical Engineering Dept. College of Engineering University of Bisha Bisha Saudi Arabia Biomedical Engineering Department College of Engineering and Technologies Al-Mustaqbal University Hillah Iraq

This paper delves into the numerical investigation of aluminum oxide–water nanofluid thermal and dynamic performances under the influences of magnetic field application and chemical reaction, utilizing the Finite Element Method within a circular enclosure containing three inner tubes, as an application to the heat exchanging phenomenon between the reactive shell of the cavity and the surface of the triple tubes. Various governing parameters were studied for their interaction on the nanofluid flow and heat transmission rate within the proposed geometry, including the Rayleigh parameter (10³≤Ra≤10⁵), Hartmann parameter (0≤Ha≤61), nanoparticles concentration (0≤∅≤6×10^-2), magnetic rotational angle (0^o≤γ≤90^o), and Frank-Kamenetskii parameter (0≤F_k≤3). The results indicated that raising Ra from 10³ to 10⁵ results in expediting the nanofluid velocity by 10.62 % and 100 % respectively as well as raising the total heat transfer efficiency. The nanofluid speed was also increased by 28.57 % when F_k has to further increase to a value of 3. When there was no exothermic activity present, the rate of heat transmission was at its lowest, and it was greater when the F_k value was 3. Similarly, there were discernible impacts in various areas of the geometry as the Ha number intensified and the Nu_avg decreased. Improvements in local and mean Nusselt parameters are observed when the concentration of nanoparticles is increased, suggesting better heat transfer, achieving an increase by 7 % in the average Nusselt number. This research emphasizes the importance of nanoparticle concentration in raising the medium's rates of heat transmission, contributing to advancements in energy storage development. © 2024 The Author(s)

关键词： Aluminum oxide Circular enclosure Exothermic reaction MHD Nanofluid Natural convection Numerical analysis

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BME-UW at SR'19: Surface realization with interpreted regular tree grammars 2

BME-UW at SR'19: Surface realization with interpreted regula...

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2nd Workshop on Multilingual Surface Realisation, MSR@EMNLP-IJCNLP 2019

作者： Kovács, Ádám Ács, Evelin Ács, Judit Kornai, András Recski, Gábor Dept. of Automation and Applied Informatics Budapest U of Technology Hungary SZTAKI Insititute of Computer Science Hungary University of Washington United States Sclable

ISBN: (纸本)9781950737765

The Surface Realization Shared Task involves mapping Universal Dependency graphs to raw text, i.e. restoring word order and inflection from a graph of typed, directed dependencies between lemmas. Interpreted Regular Tree Grammars (IRTGs) encode the correspondence between generations in multiple algebras, and have previously been used for semantic parsing from raw text. Our system induces an IRTG for simultaneously building pairs of surface forms and UD graphs in the SR'19 training data, then prunes this grammar for each UD graph in the test data for efficient parsing and generation of the surface ordering of lemmas. For the inflection step we use a standard sequence-to-sequence model with a biLSTM encoder and an LSTM decoder with attention. Both components of our system are available on GitHub under an MIT license. © 2019 Association for Computational Linguistics.

关键词： Forestry

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An information-theoretic approach to hypergraph psychometrics

arXiv

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arXiv 2022年

作者： Marinazzo, Daniele Van Roozendaal, Jan Rosas, Fernando E. Stella, Massimo Comolatti, Renzo Colenbier, Nigel Stramaglia, Sebastiano Rosseel, Yves Department of Data Analysis Ghent University Belgium Data Science Institute Imperial College London London United Kingdom Centre for Psychedelic Research Imperial College London London United Kingdom Centre for Complexity Science Imperial College London London United Kingdom Department of Informatics University of Sussex Brighton United Kingdom CogNosco Lab Dept. of Computer Science University of Exeter United Kingdom Department of Biomedical and Clinical Sciences "L. Sacco" Università degli Studi di Milano Italy IRCCS San Camillo Hospital Via Alberoni 70 Venice30126 Italy Physics Department Universitá degli Studi di Bari Aldo Moro INFN Sezione di Bari Italy

Psychological network approaches propose to see symptoms or questionnaire items as interconnected nodes, with links between them reflecting pairwise statistical dependencies evaluated on cross-sectional, time-series, or panel data. These networks constitute an established methodology to assess the interactions and relative importance of nodes/indicators, providing an important complement to other approaches such as factor analysis. However, focusing the modelling solely on pairwise relationships can neglect potentially critical information shared by groups of three or more variables in the form of higher-order interdependencies. To overcome this important limitation, here we propose an information-theoretic framework based on hypergraphs as psychometric models. As edges in hypergraphs are capable of encompassing several nodes together, this extension can thus provide a richer representation of the interactions that may exist among sets of psychological variables. Our results show how psychometric hypergraphs can highlight meaningful redundant and synergistic interactions on either simulated or state-of-art, re-analyzed psychometric datasets. Overall, our framework extends current network approaches while leading to new ways of assessing the data that differ at their core from other methods, extending the psychometric toolbox and opening promising avenues for future investigation. © 2022, CC BY.

关键词： Information theory

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A Mathematical Model of Lung Functionality using Pressure Signal for Volume-Controlled Ventilation

A Mathematical Model of Lung Functionality using Pressure Si...

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IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)

作者： Husam Y. Al-Hetari Muhammad Nomani Kabir Mahmoud A. Al-Rumaima Noman Q. Al-Naggar Yasser M. Alginahi Md Munirul Hasan Faculty of Computing University Malaysia Pahang Malaysia Kuantan Malaysia Dept. of Biomedical Engineering University of Science and Technology Yemen Dept. of Electrical and Computer Engineering University of Windsor Windsor Canada

ISBN: (数字)9781728161334

ISBN: (纸本)9781728161341

Mechanical Ventilation is used to support the respiratory system malfunction by assisting recovery breathing process which could result from diseases and viruses such as pneumonia and COVID-19. Mathematical models are used to study and simulate the respiratory system supported by mechanical ventilation using different modes such as volume-controlled ventilation (VCV). In this research, a single compartment lung model ventilated by VCV is developed during real time mechanical ventilation using pressure signal. This mathematical model describes the lung volume and compliance correctly considering positive end expiration pressure (PEEP) value. The model is implemented using LabVIEW tools and can be used to monitor the volume, flow and compliance as outputs of the model. Two experiments are carried out on the proposed lung model at three input scenarios of volume (400, 500 and 600 ml) for each experiment considering a PEEP value. To validate the model, an artificial lung connected to a VCV with the same scenarios is used. Validation check is conducted by comparing the outputs of the lung model to that of the artificial lung. The experimental results showed that the measured lung model outputs with negative feedback are the same for pressure and flow as the outputs without negative feedback, whereas the measured volume is comparatively lower for negative feedback. Average percent error in the experiment with negative feedback (5.14%) is smaller compared to the experiment without negative feedback (9.28%). Furthermore, the average error of the calculated compliance decreases from 16% (without negative feedback) to 2% (with negative feedback). The obtained results of the proposed method showed good performance and acceptable accuracy. Thus, the model facilitates the clinicians and practitioners as a training tool to learn real-time mechanical ventilation functionalities.

关键词： Lung Ventilation Mathematical model Solid modeling Negative feedback Atmospheric modeling Real-time systems

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A convolutional approach to melody line identification in symbolic scores 20

A convolutional approach to melody line identification in sy...

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20th International Society for Music Information Retrieval Conference, ISMIR 2019

作者： Simonetta, Federico Cancino-Chacón, Carlos Ntalampiras, Stavros Widmer, Gerhard Music Informatics Laboratory Dept. of Computer Science University of Milano Italy Austrian Research Institute for Artificial Intelligence Vienna Austria Dept. of Computational Perception Johannes Kepler University Linz Austria

ISBN: (纸本)9781732729919

In many musical traditions, the melody line is of primary significance in a piece. Human listeners can readily distinguish melodies from accompaniment;however, making this distinction given only the written score - i.e. without listening to the music performed - can be a difficult task. Solving this task is of great importance for both Music Information Retrieval and musicological applications. In this paper, we propose an automated approach to identifying the most salient melody line in a symbolic score. The backbone of the method consists of a convolutional neural network (CNN) estimating the probability that each note in the score (more precisely: each pixel in a piano roll encoding of the score) belongs to the melody line. We train and evaluate the method on various datasets, using manual annotations where available and solo instrument parts where not. We also propose a method to inspect the CNN and to analyze the influence exerted by notes on the prediction of other notes;this method can be applied whenever the output of a neural network has the same size as the input. © Federico Simonetta, Carlos Cancino-Chacón, Stavros Ntalampiras, Gerhard Widmer.

关键词： Music

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Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation

arXiv

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arXiv 2020年

作者： Liu, Yanqi Calderoni, Giuseppe Bahar, R. Iris Dept.of Computer Science Brown University ProvidenceRI United States Dept.of Automation and Informatics Politecnico di Torino Torino Italy School of Engineering Dept. of Computer Science Brown University ProvidenceRI United States

Algorithms based on Monte-Carlo sampling have been widely adapted in robotics and other areas of engineering due to their performance robustness. However, these sampling-based approaches have high computational requirements, making them unsuitable for real-time applications with tight energy constraints. In this paper, we investigate 6 degree-of-freedom (6DoF) pose estimation for robot manipulation using this method, which uses rendering combined with sequential Monte-Carlo sampling. While potentially very accurate, the significant computational complexity of the algorithm makes it less attractive for mobile robots, where runtime and energy consumption are tightly constrained. To address these challenges, we develop a novel hardware implementation of Monte-Carlo sampling on an FPGA with lower computational complexity and memory usage, while achieving high parallelism and modularization. Our results show 12X–21X improvements in energy efficiency over low-power and high-end GPU implementations, respectively. Moreover, we achieve real time performance without compromising accuracy. Copyright © 2020, The Authors. All rights reserved.

关键词： Robotics

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Optimizing Parametrized Quantum Circuits with Free-Axis Single-Qubit Gates

arXiv

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arXiv 2021年

作者： Watanabe, Hiroshi C. Raymond, Rudy Ohnishi, Yu-Ya Kaminishi, Eriko Sugawara, Michihiko Quantum Computing Center Keio University Japan Jst Presto Japan Ibm Quantum Ibm Japan Japan Dept. of Computer Science The Univ. of Tokyo Japan Materials Informatics Initiative Rd Technology & Digital Transformation Center Jsr Corporation Jsr BiRD Japan

Variational quantum algorithms, which utilize Parametrized Quantum Circuits (PQCs), are promising tools to achieve quantum advantage for optimization problems on near-term quantum devices. Their PQCs have been conventionally constructed from parametrized rotational angles of single-qubit gates around predetermined set of axes, and two-qubit entangling gates, such as CNOT gates. We propose a method to construct a PQC by continuous parametrization of both the angles and the axes of its single-qubit rotation gates. The method is based on the observation that when rotational angles are fixed, optimal axes of rotations can be computed by solving a system of linear equations whose coefficients can be determined from the PQC with small computational overhead. The method can be further simplified to select axes freely from continuous parameters with rotational angles fixed to half rotation or π. We show the simplified free-axis selection method has better expressibility against other structural optimization methods when measured with Kullback-Leibler (KL) divergence. We also demonstrate PQCs with free-axis selection are more effective to search the ground states of Hamiltonians for quantum chemistry and combinatorial optimization. Because free-axis selection allows designing PQCs without specifying their single-qubit rotational axes, it may significantly improve the handiness of PQCs. © 2021, CC BY-NC-SA.

关键词： Combinatorial optimization

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Topological Modes Observed in Si Photonics SSH Integrated Circuit

Topological Modes Observed in Si Photonics SSH Integrated Ci...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： R. Nakamura T. Nakama A. Balčytis T. Ozawa Y. Ota S. Iwamoto H. Ito T. Baba Dept of Electrical &Computer Eng. Yokohama National Univ. Hodogava-ku Yokohama Japan Integrated Photonics and Applications Centre (InPAC) School of Engineering RMIT University Melbourne VIC Australia Advanced Institute for Materials Research Tohoku Univ. Sendai Japan Dept. of Applied Physics and Physico-Informatics Keio Univ. Kohoku-ku Yokohama Japan Research Center for Advanced Science and Technology The University of Tokyo Meguro-ku Tokyo Japan

We fabricated a sophisticated Si photonic integrated circuit for investigating topological photonics SSH model. In the selective excitation and observation of SSH coupled microrings, we observed the wavefunctions of e...

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Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images

Using a 22-layer U-Net to perform segmentation of squamous c...

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Medical Imaging 2020: Digital Pathology

作者： Mavuduru, Amol Halicek, Martin Shahedi, Maysam Little, James V. Chen, Amy Y. Myers, Larry L. Fei, Baowei Dept. of Bioengineering University of Texas DallasTX United States Dept. of Computer Science University of Texas DallasTX United States Dept. of Biomedical Engineering Georgia Inst. of Tech. Emory Univ. AtlantaGA United States Emory Univ. School of Medicine Dept. of Pathology and Laboratory Medicine AtlantaGA United States Emory Univ. School of Medicine Dept. of Otolaryngology AtlantaGA United States Dept. of Otolaryngology Univ. of Texas Southwestern Medical Center DallasTX United States Advanced Imaging Research Center Univ. of Texas Southwestern Medical Center DallasTX United States Dept. of Radiology Univ. of Texas Southwestern Medical Center DallasTX United States

ISBN: (纸本)9781510634077

Squamous cell carcinoma (SCC) comprises over 90 percent of tumors in the head and neck. The diagnosis process involves performing surgical resection of tissue and creating histological slides from the removed tissue. Pathologists detect SCC in histology slides, and may fail to correctly identify tumor regions within the slides. In this study, a dataset of patches extracted from 200 digitized histological images from 84 head and neck SCC patients was used to train, validate and test the segmentation performance of a fully-convolutional U-Net architecture. The neural network achieved a pixel-level segmentation AUC of 0.89 on the testing group. The average segmentation time for whole slide images was 72 seconds. The training, validation, and testing process in this experiment produces a model that has the potential to help segment SCC images in histological images with improved speed and accuracy compared to the manual segmentation process performed by pathologists. © 2020 SPIE. All rights reserved.

关键词： PSISDG

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