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Natural convection flow of nanofluids over horizontal circular cylinder with uniform surface heat flux

AIP Conference Proceedings 2021年第1期2324卷

作者： Sadia Afsana Preetom Nag Md Mamun Molla Sharaban Thohura 1Department of Electrical and Computer Engineering North South University Dhaka 1229 Bangladesh 2Department of Mathematics and Physics North South University Dhaka 1229 Bangladesh 3Center for Applied Scientific Computing North South University Dhaka 1229 Bangladesh 4Department of Mathematics Jagannath University Dhaka 1100 Bangladesh

The behavior of natural convection laminar flow of Nanofluids over a horizontal circular cylinder with uniform surface heat flux has been examined. In this study, Copper-Water (Cu-H2O) nanofluid has been chosen with different volume fractions ranging from 0% to 10%. In the present study, the governing boundary layer equations are converted into a dimensionless form, and the resultant non-dimensional set of equations has been transformed into a parabolic system of partial differential equations by applying a specific set of variables. The set of parabolic equations has been numerically solved using an implicit finite difference method. The outcomes of the numerical simulation have been compared and validated with an excellent agreement with the previously published work. The numerical results have been depicted in terms of the velocity and temperature profiles. Finally, the skin friction coefficient (Cf) and the local Nusselt number (Nu) has been outlined to understand the feature of the wall shear stress and the surface heat transfer rate, respectively.

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Development of the software to improve the accuracy of emotion recognition

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AIP Conference Proceedings 2022年第1期2647卷

作者： E. V. Soboleva T. N. Suvorova E. V. Lebedeva M. V. Petukhova T. V. Masharova 1Department of Digital Technologies in Education Vyatka State University Kirov Russia 2Department of Informatization of Education Institute of Digital Education Moscow City University Moscow Russia 3Department of Algebra and Mathematical Methods in Economy of Orel State University named after I.S. Turgenev Orel Russia 4Department of Computer Aided Design and Engineering Calculation Russian State Agrarian University–Moscow Timiryazev Agricultural Academy Moscow Russia 5Department of Pedagogy Institute of Pedagogy and Psychology of Education Moscow City Pedagogical University Moscow Russia

The theory of pattern recognition is one of the directions of scientific and technical development in the field of image analysis and machine vision, etc. The authors consider the possibility of using information systems to improve the quality and accuracy of recognizing emotions on faces from images. The purpose of the research is to develop an application that uses the most effective algorithm for detecting faces and recognizing emotions. The methodology is based on the principles of deep learning, includes the use of convolutional neural networks, their software embodiments. The functional scheme is implemented in the application using the methods of the library of computer vision. Result of the research, a module was developed with the ability to determine the user’s emotions from an image from a webcam in real time. At the testing stage a data set for training was formed. A convolutional neural network was trained. The functional for generating graphs describing the emotional portrait of the user for the entire time of using the module was implemented. In the future, it is planned to improve the quality of neural network recognition, and prepare a web service for integration into mobile applications.

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Erratum: “Effects of activation method and temperature to III-nitride micro-light-emitting diodes with tunnel junction contacts grown by metalorganic chemical vapor deposition” [Appl. Phys. Lett. 119, 202102 (2021)]

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Applied Physics Letters 2021年第23期119卷

作者： Matthew S. Wong Nathan C. Palmquist Jiaxiang Jiang Philip Chan Changmin Lee Panpan Li Ji Hun Kang Yong Hyun Baek Chae Hon Kim Daniel A. Cohen Tal Margalith James S. Speck Shuji Nakamura Steven P. DenBaars 1Materials Department University of California Santa Barbara California 93106 USA 2Department of Electrical and Computer Engineering University of California Santa Barbara California 93106 USA 3Seoul Viosys 97-11 Sandan-ro 163beon-gil Danwon-gu Ansan-si Gyeonggi-do 15429 South Korea

The authors would like to correct an error in the original version of the publication.1

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A review on security challenges and approaches in the cloud computing

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AIP Conference Proceedings 2020年第1期2290卷

作者： Elham Mohammed Thabit A. Alsaadi Sabah Mohammed Fayadh Ashwak Alabaichi 1Department of Computer Science College of Science University of Kerbala Karbala Iraq 2Department of Computer Systems AL Nassriyah Technical Institute Southern Technical University Thi-Qar Iraq 3Department of Biomedical engineering College of Engineering University of Kerbala Karbala Iraq

Cloud Computing is a model based on computing system which provides convenient and customizable services to the users for accessing to different cloud applications. It provides a way for storing and accessing cloud data from anywhere via connecting the cloud application utilizing internet. The cloud computing and its related safety problems is one of widely discussed concerns in today generation's research field. While numerous cloud security investigations are previously widespread, there residues a definite distance in properly identifying these issues and find the appropriate solutions. Some studies discuss the problems of virtualization and approach the target, while others talk about access control mechanisms, but what's missing is a standard framework which simultaneously extends the concept of cloud security and describes its specific requirements. In addition, countermeasures given in a survey must clearly illustrate the problem it deals with. This analysis paper took all of these elements into consideration so that the necessary areas were properly connected and a number of open issues were discussed in this area. This paper also reviews the most significant security techniques to data protection and cloud security in the cloud computing. Moreover, security techniques for data protection will be recommended in order to have enhanced security in cloud computing. It will concentrate primarily on issues related to data security and provides solutions.

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Modeling of information exchange between power electronic units in energy storage systems

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AIP Conference Proceedings 2021年第1期2333卷

作者： Ivan Nedyalkov Dimitar Arnaudov Tasho D. Tashev 1Department of Communication and Computer Engineering South-West University „Neofit Rilski” 66 Ivan Mihailov str. Blagoevgrad 2700 Bulgaria 2Department of Power Electronics Faculty of Electronic Engineering and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. 1000 Sofia Bulgaria 3Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev St. Bl. 2 1113 - Sofia Bulgaria Sofia Bulgaria

The paper discusses the exchange of information between energy storage systems. Variants of information exchange between Power Distribution Units are simulated. The advantages and disadvantages of different options for information protection are shown. Experimental data for PDUs have been used and can be multiplied for energy storage systems. The options for visibility and information protection are illustrated.

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Effect of Cd2+ ions on AC conductivity of stearic acid metal-insulator-semiconductor diode

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AIP Conference Proceedings 2020年第1期2284卷

作者： Syed A. Malik Asim K. Ray 1Department of Physics Universiti Pendidikan Sultan Idris 35900 Tanjong Malim Malaysia 2Department of Electronic and Computer Engineering Brunel University Uxbridge London UB8 3PH UK

We report on observations of the effect of Cd2+ ions on the AC electrical properties of stearic acid (SA) thin films in metal-insulator-semiconductor (MIS) diode-like structure. The insulating thin film was fabricated using 40-layers Langmuir-Blodgett (LB) films of SA containing Cd2+ ions on hydrophobic n-type silicon (n-Si) substrate. Frequency- dependent capacitance (C-f) and conductance (G/ω-f) characteristics of the Al/SA+Cd2+/Si MIS structure were investigated in dark at room temperature with frequency ranges from 80 kHz to 1 MHz. The capacitance for LB film of stearic acid with Cd2+ ions showed almost no frequency dependence which translated into uniform dielectric value. However, the film AC conductivity shown an exponential frequency-dependent behavior at a signal frequency higher than 100 kHz. The metal-insulator contact resistance is believed to be dominant in the high-frequency range.

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Throughput enhancement using Hierarchical Modulation for Underwater Acoustic Communication System

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Proceedings of Meetings on Acoustics 2021年第1期44卷

作者： Safaa N. Awny Bilal A. Jebur Charalampos C. Tsimenidis 1University of Mosul Mosul Nineveh 41002 IRAQ safaanawny@*** 2Department of Computer and Information Engineering Ninevah University Mosul Nineveh 41002 IRAQ bilal.jebur@uoninevah.edu.iq 3School of Engineering Newcastle University Faculty of Science Agriculture and Engineering Newcastle Upon Tyne NE1 7RU UNITED KINGDOM charalampos.tsimenidis@newcastle.ac.uk

Cooperative communication systems can solve the data rate limitations in underwater acoustic channels (UAC) introduced by their half-duplex (HD) nature and bandwidth limitations. In this paper, Hierarchical Modulation (HM) is introduced to both enhance the system throughput and spectral efficiency, as well as to enable various degrees of priority communication links. The proposed system utilizes HM with orthogonal frequency division multiplexing modulation (OFDM) in a two-way relay network (TWRN) using physical layer network coding (PLNC) to exchange information between two nodes operating in HD mode. The performance of the proposed PLNC-TWRN system is analysed via simulations using realistic UAC and numerical results are presented to demonstrate that it can significantly enhance the throughput.

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A random process approach to study the performance of engineering students in professional institutions

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AIP Conference Proceedings 2020年第1期2270卷

作者： A. Ezhilarasi R. Marudhachalam S. Selvanayaki R. Tamilselvi P. Devaki 1Department of Mathematics Kumaraguru College of Technology Coimbatore Tamil Nadu India 2Department of Electronics and Communication Engineering Sri Ranganathar Institute of Engineering and Technology Coimbatore Tamil Nadu India 3Department of Computer Science Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India

In this paper, an analysis of the performance of engineering students of Professional College in Coimbatore District has been done using the concept of Absorbing Markov Chain. The study has been carried out to assess various performance attributes of the learners of engineering stream. The outcomes of four programmes offered by an engineering College for eight semesters in four years have been studied and it has been attempted to arrive out the mean value of the time used-up by the students during a semester, total semesters taken to get the graduation on completion and the probability of a student getting graduated from the institution or withdrawn from the course.

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Transfer learning of ultrasonic guided waves using autoencoders: A preliminary study

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AIP Conference Proceedings 2019年第1期2102卷

作者： K. Supreet Alguri Joel B. Harley 1Department of Electrical and Computer Engineering University of Utah USA 2Department of Electrical and Computer Engineering University of Florida USA

In recent years, the use of scanning laser Doppler vibrometery and full wavefield acquisition has grown to aid the char- acterization of ultrasonic waves and the detection of structural defects. Yet, these methods require a considerable amount of time to acquire full wavefield data. Therefore, there is a significant need to reduce acquisition time. In this preliminary work, we present a transfer learning approach for reducing the number of sampled measurements necessary. Our method utilizes numerical simula- tions, combined with a small number of spatially sampled random measurements from an experimental structure, to reconstruct full wavefield data. Specifically, we use an autoencoder neural network to learn low-dimensional representations of wave propagation from numerical simulations. We then input a few experimental measurements into the neural network to reconstruct full wave- field data. To demonstrate the ability of our framework, we show our initial success in three scenarios. We show reconstruction accuracies of 86% with one-fourth of the total measurements.

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Fuzzy based de-noising underwater images by Hybrid filters

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AIP Conference Proceedings 2020年第1期2270卷

作者： A. Ezhilarasi R. Tamilselvi S. Selvanayaki P. Devaki 1Department of Mathematics Kumaraguru College of Technology Coimbatore Tamil Nadu India 3Department of Electronics and Communication Engineering Sri Ranganathar Institute of Engineering and Technology Coimbatore Tamil Nadu India 2Department of Computer Science Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India

In recent years, the underwater image processing has significantly improved due to the technological development. The real challenge is that the poor contrast and noise because of absorption of light and scattering in the oceanic environment inherently disturb these underwater images. Hybrid filters depending on fuzzy for de-noising underwater images is proposed and analyzed clearly. The proposed algorithm is compared with various existing de- noising algorithms such as Gaussian median filter, TMED and median filter. The PSNR and NMSE of each algorithm has been measured and analyzed, which compares the ability to de-noising.

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