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2020 International Conference on Computational science and Computational Intelligence, CSCI 2020

作者： Mulahuwaish, Aos Towne, Wyatt Ghafoor, Kayhan Zrar Maghdid, Halgurd S. Saginaw Valley State University Dept. of Computer Science and Information Systems Michigan United States Salahaddin University-Erbil Dep. of Software Engineering and Informatics Iraq Koya University Faculty of Engineering Dept. of Software Engineering Kurdistan Region-F.R. Iraq

ISBN: (纸本)9781728176246

The positioning accuracy of various kinds of devices is often calculated by using Wi-Fi fingerprints as a data source of Received Signal Strength (RSS). Through different matching algorithms, these RSS values are related to corresponding positioning coordinates for positioning estimation. In this paper, we compare two well known Machine Learning (ML) structures for calculating positioning accuracy: Recurrent Neural Network-Long Short-Term Memory (RNN-LSTM) and a Decision Tree (DT). Both matching algorithms run through a series of datasets in two parts. In the first part, the datasets contain raw, non-normalized RSS values. In the second part, the RSS values are all normalized to remove noise in the datasets. After extensive testing and simulations, the tests showed that as long as RSS values are first normalized, a Decision Tree offers better average positioning accuracy. © 2020 IEEE.

关键词： Decision trees

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Deep Learning Approach for the Precision Medicine Track 28

Deep Learning Approach for the Precision Medicine Track

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28th Text REtrieval Conference, TREC 2019

作者： Consuegra-Ayala, Juan Pablo Stilo, Giovanni Celi, Alessandro Di Salle, Amleto University of Havana School of Math and Computer Science Cuba University of L'Aquila Dep. of Information Engineering Computer Science and Mathematics Italy

The paper describes the system presented by the University of L'Aquila in collaboration with the University of Havana - team named UNIVAQ - to the TREC 2019 Precision Medicine Track. The proposed solution, maps any kind of documents - Scientific Abstract, Clinical trials, and Topics - into a multi-dimensional common general representation. Each document is described by five primitive features. The values of each feature are extracted from the original documents using deep learning and machine learning text processing based techniques. To recognize Genes and Diseases, we have trained our models using the PubTator annotated corpus. Instead, to derive demographics information, we have trained the employed deep learning models using the documents -obtained from the Relevance and Raw judgements of the past edition of TREC Precision Medicine/Clinical Decision Support Track 2018- considered "relevant" or "partially relevant". The results of the Track clearly show that applying a system (as our) made solely by a tagging based approach to the Precision Medicine task, is not sufficient to achieve the performances gained by other systems presented in the TREC Precision Medicine Track 2019. © 2019 28th Text REtrieval Conference, TREC 2019 - Proceedings. All Rights Reserved.

关键词： Deep learning

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Virtual Reality as an e-learning tool in the student-centered vehicle development project "proTRon" 17

Virtual Reality as an e-learning tool in the student-centere...

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17. Fachtagung Bildungstechnologien, DELFI 2019 - 17th Conference on Education Technologies, DELFI 2019

作者： Küntzer, Lucas Hoffmann, Michael Rock, Georg Trier University of Applied Sciences Dep. of Computer Science Schneidershof Trier54294 Germany Trier University of Applied Sciences Dep. of Engineering Schneidershof Trier54294 Germany

ISBN: (纸本)9783885796916

Immersive Virtual Reality (VR) is increasingly being used in many engineering disciplines. This paper presents the practical use of an e-learning tool for project-based learning in higher education in the context of a student-centered, industrial-sized project. The benefits and challenges of VR technology in education are examined. The paper briefly outlines the advantages of VR in its practical application in education as well as in the professional industry. In conclusion the paper argues that VR applications can be useful in improving effectiveness and efficiency in existent processes. However, such applications must be designed with great care in order to achieve the desired effects in the long term. © 2019 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Virtual reality

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An implementation of iot-based weather monitoring system

An implementation of iot-based weather monitoring system

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2019 IEEE International Conferences on Ubiquitous Computing and Communications and Data science and Computational Intelligence and Smart Computing, Networking and Services, IUCC/DSCI/SmartCNS 2019

作者： Tsao, Yung-Chung Tsai, Yin Te Kuo, Yaw-Wen Hwang, Chaokung Dep. of Electrical Engineering National Chi Nan University Nantou Taiwan Dep. of Computer Science and Communication Engineering Providence University TaiChung Taiwan Wu Tso Elementary School TaiChung Taiwan

ISBN: (纸本)9781728152097

The living environment monitoring is a critical issue today. Many related researches focused on developing the living environment monitoring systems by using the web-based technology, but such information systems would increase the difficulty of promotion and migration to others, because of needing well-trained engineers to achieve and maintain such information system. This research focuses on developing the weather monitoring system. The main goal of the research is to use the technology of message queuing telemetry transport (MQTT) as roles of the communication layer instead of direct-connecting database, which can isolate the system migration complexity from heterogeneous relational database management system (RDBMS) and construct a distributed information system easily. Finally the contributions are demonstrated as implementation of the IoT-based weather monitoring system. The prototyping of the weather monitoring system is implemented and dep.oyed at Wu-Tso elementary school for the students' learning of nature science and activity environment. In addition, the system is implemented using open sources and is easy to be dep.oyed and scalable. © 2019 IEEE.

关键词： Information systems

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PhenoImage: An open-source graphical user interface for plant image analysis

Plant Phenome Journal

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Plant Phenome Journal 2021年第1期4卷

作者： Zhu, Feiyu Saluja, Manny Dharni, Jaspinder Singh Paul, Puneet Sattler, Scott E. Staswick, Paul Walia, Harkamal Yu, Hongfeng Dep. of Computer Science and Engineering Univ. of Nebraska Lincoln 68588 NE United States Dep. of Agronomy and Horticulture Univ. of Nebraska Lincoln 68583 NE United States Wheat Sorghum and Forage Research Unit USDA-ARS Lincoln 68583 NE United States

High-throughput genotyping coupled with molecular breeding approaches have dramatically accelerated crop improvement programs. More recently, improved plant phenotyping methods have led to a shift from manual measurements to automated platforms with increased scalability and resolution. Considerable effort has also gone into developing large-scale downstream processing of the imaging datasets derived from high-throughput phenotyping (HTP) platforms. However, most available tools require some programming skills. We developed PhenoImage, an open-source graphical user interface (GUI) based cross-platform solution for HTP image processing intending to make image analysis accessible to users with either little or no programming skills. The open-source nature provides the possibility to extend its usability to meet user-specific requirements. The availability of multiple functions and filtering parameters provides flexibility to analyze images from a wide variety of plant species and platforms. PhenoImage can be run on a personal computer as well as on high-performance computing clusters. To test the efficacy of the application, we analyzed the LemnaTec Imaging system derived red, green, and blue (RGB) color intensity and plant pigmentation-based fluorescence shoot images from two plant species: sorghum [Sorghum bicolor (L.) Moench] and wheat (Triticum aestivum L.) differing in their physical attributes. In the study, we discuss the development, implementation, and working of the PhenoImage. © 2021 The Authors. The Plant Phenome Journal published by Wiley Periodicals LLC on behalf of American Society of Agronomy and Crop science Society of America.

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Managing Uncertainty in Evolving Geo-Spatial Data

Managing Uncertainty in Evolving Geo-Spatial Data

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International Conference on Mobile Data Management

作者： Andreas Züfle Goce Trajcevski Dieter Pfoser Joon-Seok Kim Dep. of Geography and Geoinformation Science George Mason University Department of Electrical and Computer Engineering Iowa State University

ISBN: (数字)9781728146638

ISBN: (纸本)9781728146645

Our ability to extract knowledge from evolving spatial phenomena and make it actionable is often impaired by unreliable, erroneous, obsolete, imprecise, sparse, and noisy data. Integrating the impact of this uncertainty is a paramount when estimating the reliability/confidence of any time-varying query result from the underlying input data. The goal of this advanced seminar is to survey solutions for managing, querying and mining uncertain spatial and spatio-temporal data. We survey different models and show examples of how to efficiently enrich query results with reliability information. We discuss both analytical solutions as well as approximate solutions based on geosimulation.

关键词： Uncertainty Tutorials Spatial databases Data mining Sensors Data models Probabilistic logic

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Numerical approach toward ternary hybrid nanofluid flow with nonlinear heat source-sink and fourier heat flux model passing through a disk

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International Journal of Thermofluids 2023年 18卷

作者： Alqawasmi, Khaled Alharbi, Khalid Abdulkhaliq M. Farooq, Umar Noreen, Sobia Imran, Muhammad Akgül, Ali Kanan, Mohammad Asad, Jihad Cyber Security Department Zarqa University Jordan Mechanical Engineering Department College of Engineering Umm Al-Qura University Makkah24382 Saudi Arabia Department of Mathematics Government College University Faisalabad 38000 Pakistan School of Mathematics Minhaj University Lahore Pakistan Department of Chemistry Government College Women University Faisalabad 38000 Pakistan Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Siirt University Art and Science Faculty Department of Mathematics Siirt 56100 Turkey Near East University Mathematics Research Center Department of Mathematics Near East Boulevard PC: 99138 Nicosia /Mersin 10 Turkey Jeddah College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Dep. of Physics Faculty of Applied Science Palestine Technical University- Kadoorie TulkarmP 305 Palestine

The use of a ternary hybrid nanofluid, a new form of nanofluid, can improve heat movement. The current research employs a two-dimensional steady model to investigate nonlinear thermal radiation via ternary hybrid nanofluid flow across a revolving disc. The study of manganese zinc ferrite, copper, and silver nanocomposite base hybrid nanofluid across a spinning disc is gaining traction in invention and research due to its broad range of applications. To derive dimensionless forms of regulating paired nonlinear partial differential equations, a collection of pertinent similarity transformations is used. Based on the shooting method, the modified collection of ODEs is then analytically solved by bvp4c via the computational tool MATLAB. Furthermore, as the magnetic parameter values are reduced, the fluid velocity declines while the fluid temperature grows over a spinning disc. For larger levels, the temperature of the distribution and the radiant heat component rises. The ternary composite nanofluid has the largest impact on the surface. Furthermore, compared to the hybrid and based nanofluids, the heat generation rate of the ternary nanofluid combination is the higher transmission. The significance of Ag nanoparticles in the food industry is because of their anti-bacterial and anti-fungicidal properties, silver (Ag) is widely used in everyday products such as fabrics, pastes, polymers, food, and detergents. Manganese zinc ferrites (MnZnFe2O4) have recently piqued the interest of material science researchers due to their broad variety of applications. They are extensively used in energy storage devices, catalysts, adsorbents, sensing and imaging, therapeutic action, and other applications. © 2023 The Author(s)

关键词： Numerical methods

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Short Circuit Performance and Current Limiting Mode of a Monolithically Integrated SiC Circuit Breaker for DC Applications up to 800 V

Short Circuit Performance and Current Limiting Mode of a Mon...

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European Conference on Power Electronics and Applications

作者： Norman Boettcher Taro Takamori Keiji Wada Wataru Saito Shin-ichi Nishizawa Tobias Erlbacher Fraunhofer Institute for Integrated Systems and Device Technology (IISB) Erlangen Germany Dep. of Electrical Engineering and Computer Science Tokyo Metropolitan University Hachioji-shi Tokyo Japan Kyushu University Research Institute for Applied Mechanics Renewable Energy Center Kasuga-shi Fukuoka Fukuoka Japan Friedrich-Alexander University Chair of Electron Devices (LEB) Erlangen Germany

ISBN: (数字)9789075815399

ISBN: (纸本)9781665487009

This paper presents the short circuit performance of a novel SiC circuit breaker device, which is based on the “thyristor dual” functionality. The developed device structure is motivated with regard to manufacturing aspects and electrical requirements. Furthermore, the basic “thyristor dual” operation is elaborated on the basis of quasi-static electrical measurements of a fabricated prototype. The proposed self-sensing and self-triggering devices make auxiliary circuitry like sensors and micro-controllers expendable and practically have no propagation delay. As a result, short circuit clearance within 122 ns at 800 V is demonstrated in experiments. Moreover, by utilisation of a third device terminal, a temporary current limiter functionality can be obtained. The scalability of the current limit value is discussed on the basis of measurements in time domain. The maximum current limit value achieved is 7.4 times higher than the trigger current level of the circuit breaker device. Additionally, the same circuit configuration which is used for the current limiting mode, allows to remotely reset the circuit breaker after it turned to blocking-state. This opens up a wide range of possibilities to enhance the circuit breaker with intelligent functionalities.

关键词： Thyristors Circuit optimization Limiting Silicon carbide Circuit breakers Prototypes Topology

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Engineered Modular Neuronal Networks-on-Chip Represent Structure-Function Relationship

SSRN

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SSRN 2024年

作者： Habibey, Rouhollah Striebel, Johannes Latiftikhereshki, Roshanak Schmieder, Felix Nasiri, Rohollah Latifi, Shahrzad Universitäts-Augenklinik Bonn University of Bonn Dep. of Ophthalmology Ernst-Abbe-Straße 2 BonnD-53127 Germany CRTD - Center for Regenerative Therapies TU Dresden Dresden01307 Germany Dept. Neuroscience Italian Institute of Technology Genova Italy Department of Computer Engineering Faculty of Engineering Kermanshah Branch Azad University Kermanshah Iran Laboratory of Measurement and Sensor System Technique Faculty of Electrical and Computer Engineering TU Dresden Helmholtzstraße 18 Dresden01069 Germany Division of Nanobiotechnology Department of Protein Science Science for Life Laboratory KTH Royal Institute of Technology Solna Sweden AIMES Center for the Advancement of Integrated Medical and Engineering Sciences Department of Neuroscience Karolinska Institute Solna Sweden Department of Neurology David Geffen School of Medicine University of California Los Angeles Los AngelesCA United States Department of Neuroscience Rockefeller Neuroscience Institute West Virginia University MorgantownWV26506 United States

Brain function is substantially linked to the highly organized structure of neuronal networks. The structures of in vitro assembled neuronal circuits often vary between samples and change over time, making it challenging to reliably record network functional output and link it to network structure. Therefore, engineering neuronal structures with predefined geometry and reproducible functional features is essential to robustly model in vivo neuronal circuits. Here, we engineered thin microchannel devices to assemble 2D and 3D modular networks. The microchannel devices were coupled with a multi-electrode array (MEA) electrophysiology system to enable long-term electrophysiology recordings from microengineered circuits. Each network consisted of 64 modules connected to their adjacent modules by micron-sized channels. The microstructures physically confined neurons to the recording electrodes, which significantly improved the efficiency of electrophysiology readout. In addition, the microstructures maintained the modular network structure for weeks. Modular circuits within microfluidic devices showed consistent spatial patterns of activity over weeks, which was lacking in the randomly formed circuits. The number of physical connections per module was shown to influence the measured activity and functional connectivity parameters, which represents the impact of network structure on its functional output. We show that microengineered 3D modular networks with profound activity and higher number of functional connections recapitulate key functional features of developing cortex. Structurally and functionally stable 2D and 3D networks mimic the modular architecture of brain circuits and provide a robust and reproducible in vitro microphysiological system for basic and translational neuroscience research. © 2024, The Authors. All rights reserved.

关键词： Microfluidics

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Cost-benefit analysis for multiple agents considering an electric vehicle charging/discharging strategy and grid integration

Cost-benefit analysis for multiple agents considering an ele...

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Mediterranean Electrotechnical Conference (MELECON)

作者： M. Bagheri Tookanlou M. Marzband A. Al Sumaiti A. Mazza Dep. of Mathematics Physics and Electrical Engineering Northumbria University Newcastle UK Dep. of Electrical Engineering and Computer Science Khalifa University Dhabi UAE Dipartimento Energia "Galileo Ferraris" Politecnico di Torino Turin Italy

ISBN: (数字)9781728152004

ISBN: (纸本)9781728152011

An increasing number of electric vehicles (EVs) will be charged/discharged in EV charging stations (EVCSs) in distribution systems. Grid-2-vehicle (G2V) and vehicle-2-grid (V2G) operation of EVs are economically and technically rewarding only when an optimal G2V/V2G strategy is properly developed. In this study, a scheduling scheme is developed which mainly focus on guaranteeing the rewards of all agents (e.g EVs, EVCSs, and electricity suppliers (ESs)) participating in V2G and G2V operation. Based on the proposed strategy, EVs indep.ndently plan their charging/discharging dep.nding on the shortest driving route and cost/benefit offered by EVCSs. Furthermore, each EVCS finds the best ES to purchase electricity from the wholesale market. The benefits of all agents in EV's V2G and G2V operation are taken into account by formulating three optimization problems. Each problem belongs to each agent. To implement the proposed strategy, a cloud scheduling system is operated to collect required information from all agents, solve the optimization problems, and ultimately send the results to relevant agents. Optimal hourly electricity prices are determined for the three agents. For simulation purposes, nine EVCSs and three ESs are facilitated for charging/discharging of EVs to visualize and validate the modeling results. The results show that by implementing the proposed strategy, the cost of EVs decreases by 18%, and the revenues of EVCSs and ESs are raised by 21% and 23%, respectively, compared to the case in which EVs do not use the proposed strategy in EV's V2G and G2V operation.

关键词： Optimization Vehicle-to-grid Charging stations Electric vehicle charging State of charge Energy storage

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