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TechRxiv 2021年

作者： Akouaydi, Hanen Hamdi, Yahia Boubaker, Houcine Zaied, Mourad Cheikh, Faouzi Alaya Alimi, Adel M. BP 1173 Sfax3038 Tunisia B.P. 6072 Gabes Tunisia The Norwegian Colour and Visual Computing Laboratory Department of Computer Science Norwegian University of Science and Technology POBox 191 2802 Norway Department of Electrical and Electronic Engineering Science Faculty of Engineering and the Built Environment University of Johannesburg South Africa

Contributions: An innovative e-learning project is presented in this paper, which is a mobile workbook that teaches handwriting at school. This mobile application proposes a new qualitative and quantitative analysis process of online cursive handwriting. It gives a real-time feedback, detects mistakes and helps teachers evaluate children’s writing skills. The main aim of this notebook is to aid kids learn how to write correctly. We analyze handwriting according to major criteria like shape, kinematics of the trace, position respect to the reference lines, stroke order and direction. Background: Beta-elliptic model with dissimilarity distance (DD) and similarity detection (SD), and SVM with Cartesian Fourier Descriptor Model (FDcarM) are used to analyze the handwriting quality. Our work apprehends dynamic and visual representations of the acquired traces, describes the overall geometry of a trace as a function of the undulations of its curvature function and selects efficient features adapted to various handwriting styles. This work demonstrates that beta-elliptic model is not only a model for segmentation and recognition but also a tool to evaluate handwriting. Intended outcomes: A masterclass environment that motivates childrents to perform better on in application evaluations. The mobile workbook should be positively received by learners and teachers. Application design: Our application provides interfaces for both learners and experts which are flexible with the particularity of each child and makes experienced kids engaged with challenging tasks. Findings: For the validation of our proposed system,we collected a database of 400 Tunisian children from pre-schools and primary schools. Results demonstrate the efficiency and robustness of our application an the great majority of expertts expressed a positive attitude toward it. © 2021, CC BY.

关键词： Function evaluation

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Analyzing Diabetic Data using Classification 2

Analyzing Diabetic Data using Classification

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2nd Joint International Conference on Emerging Computing technology and Sports, JICETS 2019

作者： Razali, Nazim Mustapha, Aida Idrus, Syed Zulkarnain Syed Wahab, Mohd Helmy Abd Madon, Siti Aida Fatimah Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat Johor86400 Malaysia Universiti Malaysia Perlis Jalan Wang Ulu Arau Sg. Chuchuh Kangar Perlis01000 Malaysia Faculty Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat Johor86400 Malaysia

In modern day, Diabetes has become one of prominent disease that affecting people all around the world. Over 425 million people worldwide with a majority of them are adults living in low and middle income countries had been affected by diabetes. According to the Diabetes Atlas from International Diabetes Federation in 2017, the number of people affected by diabetes disease are expected to increase to over 629 million by 2045. Along with the increasing of the computer science and information technology in researches, its has continued advent into many field including the medical and healthcare field which the cases of this disease and the symptoms are well recorded and documented. This paper aims to use several data mining techniques such as Naive Bayes, Sequential Minimal Optimization (SMO), RepTree and Simple Logistic Regression for classifying whether positive or negative result of diabetes diagnostic. Then, the results will be measured using confusion matrix in term of accuracy, precision and recall as evaluation metric for measuring the classification performance. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Data mining

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Throughput Maximization in C-RAN Enabled Virtualized Wireless Networks via Multi-Agent Deep Reinforcement Learning

Throughput Maximization in C-RAN Enabled Virtualized Wireles...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Maryam Mohsenivatani Mostafa Darabi Saeedeh Parsaeefard Mehrdad Ardebilipour Behrouz Maham Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran Electrical and Computer Engineering Department University of Toronto Toronto Canada Department of Electrical and Electronic Engineering School of Engineering Nazarbayev University Astana Kazakhstan

ISBN: (数字)9781728144900

ISBN: (纸本)9781728144917

With the excessive growth in mobile users' traffic, radio resource management (RRM) techniques should undergo revolutionary changes to be competent enough to meet the ever-increasing users' demands. Virtualized wireless network (VWN) has emerged as a satisfactory solution in the fifth-generation (5G) cellular networks ensuring the required quality-of-service (QoS) of distinct slices. Yet, it seems that tackling RRM problems in VWNs using conventional optimization is not practical for real-time applications. In this paper, driven by the advancements of machine learning, we consider the throughput maximization problem in a cloud radio access network (C-RAN) assisted softly virtualized wireless network supporting different types of services and solve it with a deep Q-learning (DQL) algorithm. The performance of the proposed policy is thoroughly evaluated via simulation results with respect to the isolation rate, penalty value as well as the discount factor. It is shown that our proposed policy achieves a higher sum rate compared to the existing baseline namely a greedy search-based power allocation strategy.

关键词： Resource management Throughput Wireless networks Quality of service 5G mobile communication Machine learning algorithms Land mobile radio

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Theoretical investigation of a nano scale all-optical 1 × 2 demultiplexer

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AIP Conference Proceedings 2023年第1期2651卷

作者： Saif Hasan Abdulnabi Mohammed Nadhim Abbas 1Department of Electronic and Communications Engineering Faculty of Engineering University of Kufa Iraq 3Department of Computer Technical Engineering College of Information Technology Imam Ja'afar Alsadiq University / Al-Najaf Al-Ashraf Iraq 2Department of Electrical Engineering College of Engineering University of Baghdad Iraq

In this paper, we have suggest, design, and simulate an all optical 1*2 demultiplexer (Demux) depended on Insulator-Metal-Insulator (IMI) plasmonic multilayer structure. The proposed structure offers an operating wavelength at 1550 nm and the design area is (350 nm* 350 nm). In this work, Finite Element Method (FEM) is used by using COMSOL Multiphasic software (version 5.4). The working principle of the proposed device (plasmonic Demux) depends on destructive and constructive interference, which occurs on input signal, selector signal, and control signal. The borderline between Logic 0 and Logic 1 at the output is 0.5 that is called transmission threshold. The performance of the proposed structure is measured by three parameters; Transmission, Extension Ratio, and Modulation Depth (MD). This devise shows, in some cases, the transmission value reaches more than 80%, Extension Ratio (3.5 dB), and very high MD value (97.6%). The proposed structure has a major role in building the arithmetic logic unit (ALU) and photonics integrated circuits (ICs).

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SVPWM based speed control of BLDC motor by TYPHOON HIL

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AIP Conference Proceedings 2023年第1期2564卷

作者： S. Y. Sim S. K. Chien K. H. Law N. M. Zin M. U. Wahyu N. A. Zambri M. Sumaiya G. Y. Sim A. J. M. S. Lim Faculty of Engineering Technology University Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia Department of Electrical & Computer Engineering Curtin University 98009 Miri Sarawak Malaysia School of Electrical Engineering University Technology MARA 40450 Shah Alam Selangor Malaysia Faculty of Electrical and Electronic Engineering University Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia Faculty of Civil Engineering and Built Environment University Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia

Nowadays, in industrial, traction and household devices, Brushless DC motors are becoming more common because they have high performance, high power density and low maintenance costs. The BLDC motor is also a cost-effective option for applications with low strength. BLDC motors having a permanent magnet rotor with a three-phase stator winding. BLDC motors do not have switching brushes, so the switching is carried out electronically using a variety of switching equipment. The technique of space vector pulse width modulation (SVPWM) is used where the microcontroller produces its signal. The BLDC motor speed control is accomplished by adjusting the microcontroller’s duty cycles (SVPWM pulses) and provides the desired output to turn the motor drives in order to control the BLDC motor speed. To change the desired speed, the user will enter the delay time and the motor will run at that exact speed. A very reliable and powerful speed control system is given by this proposed system.

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Alignment and optical verification of DESHIMA 2.0 at ASTE

arXiv

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arXiv 2025年

作者： Moerman, A. Karatsu, K. Baselmans, J.J.A. Dabironezare, S.O. Fujita, S. Huiting, R. Kohno, K. Nishimura, Y. Steenvoorde, F. Takekoshi, T. Tamura, Y. Taniguchi, A. Yates, S.J.C. Brandl, B.R. Endo, A. Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands SRON—Netherlands Institute for Space Research Niels Bohrweg 4 Leiden2333 CA Netherlands The Institute of Statistical Mathematics 10-3 Midori-cho Tachikawa Tokyo190-8562 Japan Institute of Astronomy Graduate School of Science The University of Tokyo 2-21-1 Osawa Mitaka Tokyo181-0015 Japan Research Center for the Early Universe Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan DEMO: Electronic and Mechanical Support Division Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands Kitami Institute of Technology 165 Koen-cho Hokkaido Kitami090-8507 Japan Department of Physics Graduate School of Science Nagoya University Furo-cho Chikusa-ku Aichi Nagoya464-8602 Japan SRON—Netherlands Institute for Space Research Landleven 12 Groningen9747 AD Netherlands Leiden Observatory Leiden University PO Box 9513 Leiden2300 RA Netherlands Faculty of Aerospace Engineering Delft University of Technology Kluyverweg 1 Delft2629 HS Netherlands

Aims. We developed, characterised, and verified an alignment method for the DESHIMA 2.0 instrument, an ultra wide-band spectrometer operating between 200–400 GHz, at the ASTE telescope. Due to the ultra-wide bandwidth of DESHIMA 2.0, we require the alignment to work across the entire spectral range. Moreover, alignment should be possible remotely, as on-site access is impractical. Methods. To fulfill these requirements we mounted the warm optics, consisting of a modified Dragonian dual reflector system, on a motor controlled hexapod. Crucial in the alignment procedure is our sky chopper, which allows fast beam switching. Importantly, it has a small entrance and exit aperture coupling to (cold) sky, which creates a measurable signal with respect to the warm cabin environment. By scanning the instrument beam across the entrance aperture of the sky chopper using the hexapod, we found the hexapod configuration that produced the lowest signal on our detectors, implying the beam is coupled fully to cold sky and not the warm cabin. The entrance aperture constrains the beam position and the exit aperture, together with the entrance aperture, constrains the beam tilt. We also performed an alignment of the secondary reflector of the ASTE Cassegrain in order to refocus the telescope and instrument as the alignment method in this work does not correct for beam defocus. This was necessary for performing observations to validate the alignment method. Results. We first characterised the alignment procedure in the laboratory, where we used a vat containing liquid nitrogen as the cold source behind the sky chopper. The complex beam patterns in the aligned and non-aligned hexapod configuration were measured and propagated through a model of the ASTE telescope in order to calculate the aperture efficiency of the optical setup. We found the aligned aperture efficiencies to be significantly larger than the non-aligned values and consistent with design values. Then, we applied the alignm

关键词： Choppers (circuits)

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Scanning Acoustic Microscopy for Quantifying Two-phase Transfer in Operando Alkaline Water Electrolyzer

arXiv

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arXiv 2024年

作者： Dou, Zehua Rox, Hannes Ramos, Zyzi Baumann, Robert Ravishankar, Rachappa Czurratis, Peter Yang, Xuegeng Lasagni, Andrés Fabian Eckert, Kerstin Czarske, Juergen Weik, David Faculty of Electrical and Computer Engineering Laboratory of Measurement and Sensor System Technique Technische Universität Dresden Helmholtzstraße 18 Dresden01069 Germany Institute of Fluid Dynamics Helmholtz-Zentrum Dresden-Rossendorf Bautzner Landstraße 400 Dresden01328 Germany PVA TePla Analytical Systems GmbH Deutschordenstraße 38 Westhausen73463 Germany Institute of Manufacturing Science and Engineering Technische Universität Dresden George-Baehr-Straße 3c Dresden01069 Germany Fraunhofer Institute for Material and Beam Technology IWS Winterbergstraße 28 Dresden01277 Germany Institute of Process Engineering and Environmental Technology Technische Universität Dresden Helmholtzstraße 14 Dresden01069 Germany Hydrogen Lab School of Engineering Technische Universität Dresden Helmholtzstraße 14 Dresden01062 Germany Institute for Emerging Electronic Technologies Leibniz Institute for Solid State and Materials Research Dresden Helmholtzstraße 20 Dresden01069 Germany

Improved understandings of two-phase transport in electrochemical gas-evolving systems are increasingly demanded, while high-performance imaging techniques using simplified instrumentations are not readily available. This work presents volumetric scanning acoustic microscopy (SAM) imaging for quantifying the dynamics of gas bubbles and electrolyte in porous Nickel electrodes with different wettability and structures during alkaline water electrolysis (AWE). We realize high-resolution 3D imaging at 10's µm level using high frequency spherically focused ultrasound. The high resolution allowed us to clearly visualize the spatial distributions of produced bubbles in the porous electrodes over time. Moreover, we are able to quantify the residual gas volume in an electrode and its coverage due to bubble evolution, which dominate its transport overpotential. Taking these advantages, we elucidate the impacts of electrodes' wettability and structures on their electrolysis performance, on a regular laboratory base. The obtained knowledge provides us important optimization guidelines of AWE designs and operating schemes. Copyright © 2024, The Authors. All rights reserved.

关键词： Mass transfer

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Machine Learning Approach to Enhance the Performance of MNP?Labeled Lateral Flow Immunoassay

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Nano-Micro Letters 2019年第1期11卷 132-146页

作者： Wenqiang Yan Kan Wang Hao Xu Xuyang Huo Qinghui Jin Daxiang Cui Department of Instrument Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment InstrumentKey Laboratory of Thin Film and Microfabrication (Ministry of Education) Shanghai Jiao Tong University School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Department of Biomedical Engineering JiLin Medical University State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Faculty of Electrical Engineering and Computer Science Ningbo University

The use of magnetic nanoparticle(MNP)-labeled immunochromatography test strips(ICTSs) is very important for point-ofcare testing(POCT). However, common diagnostic methods cannot accurately analyze the weak magnetic signal from ICTSs, limiting the applications of POCT. In this study, an ultrasensitive multiplex biosensor was designed to overcome the limitations of capturing and normalization of the weak magnetic signal from MNPs on ICTSs. A machine learning model for sandwich assays was constructed and used to classify weakly positive and negative samples, which significantly enhanced the specificity and sensitivity. The potential clinical application was evaluated by detecting 50 human chorionic gonadotropin(HCG) samples and 59 myocardial infarction serum samples. The quantitative range for HCG was 1–1000 mIU mL^(-1) and the ideal detection limit was 0.014 mIU mL^(-1), which was well below the clinical threshold. Quantitative detection results of multiplex cardiac markers showed good linear correlations with standard values. The proposed multiplex assay can be readily adapted for identifying other biomolecules and also be used in other applications such as environmental monitoring, food analysis, and national security.

关键词： Point-of-care testing Immunochromatography test strips Magnetic nanoparticles Machine learning Support vector machine

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Bagging of Gaussian Process for Large Generator Eddy Current Prediction

Bagging of Gaussian Process for Large Generator Eddy Current...

引用

International Workshop on Advanced Computational Intelligence (IWACI)

作者： Jingying Zhao Min Han Hai Guo Haoran Tang Na Dong Enming Zhao Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China College of Computer Science and Engineering Dalian Minzu University Dalian China college of engineering Dali University Dali China

ISBN: (数字)9781728142487

ISBN: (纸本)9781728142494

This paper proposes a large generator eddy current prediction method based on Bagging of Gaussian Process(GPR). Bagging ensemble learning model based on Gaussian Process Regression is proposed to predict eddy current loss. The slot wedge conductivity, slot wedge of the relative permeability, rotor outer diameter and stator outer diameter are as the input of the prediction model, and the eddy current loss is as the output. The experiments on the datasets calculated by Finite Element Model (FEM) show that the proposed approach has good predictive performance for Large generator rotor performance prediction and can be applied to practical projects.

关键词： Predictive models Eddy currents Gaussian processes Generators Rotors Finite element analysis Ground penetrating radar

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Gps-net: Graph property sensing network for scene graph generation

arXiv

引用

arXiv 2020年

作者： Lin, Xin Ding, Changxing Zeng, Jinquan Tao, Dacheng School of Electronic and Information Engineering South China University of Technology UBTECH Sydney AI Centre School of Computer Science Faculty of Engineering University of Sydney DarlingtonNSW2008 Australia

Scene graph generation (SGG) aims to detect objects in an image along with their pairwise relationships. There are three key properties of scene graph that have been underexplored in recent works: namely, the edge direction information, the difference in priority between nodes, and the long-tailed distribution of relationships. Accordingly, in this paper, we propose a Graph Property Sensing Network (GPS-Net) that fully explores these three properties for SGG. First, we propose a novel message passing module that augments the node feature with node-specific contextual information and encodes the edge direction information via a tri-linear model. Second, we introduce a node priority sensitive loss to reflect the difference in priority between nodes during training. This is achieved by designing a mapping function that adjusts the focusing parameter in the focal loss. Third, since the frequency of relationships is affected by the long-tailed distribution problem, we mitigate this issue by first softening the distribution and then enabling it to be adjusted for each subjectobject pair according to their visual appearance. Systematic experiments demonstrate the effectiveness of the proposed techniques. Moreover, GPS-Net achieves state-ofthe-art performance on three popular databases: VG, OI, and VRD by significant gains under various settings and metrics. The code and models are available at https: //***/taksau/GPS-Net. Copyright © 2020, The Authors. All rights reserved.

关键词： Object detection

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