2,231 research outputs found
Construction of Exact Solutions for Gilson–Pickering Model Using Two Different Approaches
No full textIn this paper, the extended simple equation method (ESEM) and the generalized Riccati equation mapping (GREM) method are applied to the nonlinear third-order Gilson–Pickering (GP) model to obtain a variety of new exact wave solutions. With the suitable selection of parameters involved in the model, some familiar physical governing models such as the Camassa–Holm (CH) equation, the Fornberg–Whitham (FW) equation, and the Rosenau–Hyman (RH) equation are obtained. The graphical representation of solutions under different constraints shows the dark, bright, combined dark–bright, periodic, singular, and kink soliton. For the graphical representation, 3D plots, contour plots, and 2D plots of some acquired solutions are illustrated. The obtained wave solutions motivate researchers to enhance their theories to the best of their capacities and to utilize the outcomes in other nonlinear cases. The executed methods are shown to be practical and straightforward for approaching the considered equation and may be utilized to study abundant types of NLEEs arising in physics, engineering, and applied sciences
Lane Line Detection and Object Scene Segmentation Using Otsu Thresholding and the Fast Hough Transform for Intelligent Vehicles in Complex Road Conditions
Get PDFAn Otsu-threshold- and Canny-edge-detection-based fast Hough transform (FHT) approach to lane detection was proposed to improve the accuracy of lane detection for autonomous vehicle driving. During the last two decades, autonomous vehicles have become very popular, and it is constructive to avoid traffic accidents due to human mistakes. The new generation needs automatic vehicle intelligence. One of the essential functions of a cutting-edge automobile system is lane detection. This study recommended the idea of lane detection through improved (extended) Canny edge detection using a fast Hough transform. The Gaussian blur filter was used to smooth out the image and reduce noise, which could help to improve the edge detection accuracy. An edge detection operator known as the Sobel operator calculated the gradient of the image intensity to identify edges in an image using a convolutional kernel. These techniques were applied in the initial lane detection module to enhance the characteristics of the road lanes, making it easier to detect them in the image. The Hough transform was then used to identify the routes based on the mathematical relationship between the lanes and the vehicle. It did this by converting the image into a polar coordinate system and looking for lines within a specific range of contrasting points. This allowed the algorithm to distinguish between the lanes and other features in the image. After this, the Hough transform was used for lane detection, making it possible to distinguish between left and right lane marking detection extraction; the region of interest (ROI) must be extracted for traditional approaches to work effectively and easily. The proposed methodology was tested on several image sequences. The least-squares fitting in this region was then used to track the lane. The proposed system demonstrated high lane detection in experiments, demonstrating that the identification method performed well regarding reasoning speed and identification accuracy, which considered both accuracy and real-time processing and could satisfy the requirements of lane recognition for lightweight automatic driving systems
A comparative analysis of generalized and extended (G′G)-Expansion methods for travelling wave solutions of fractional Maccari's system with complex structure
No full textFractional partial differential equations emerge as a prominent research area in recent times owing to their ability to depict intricate physical phenomena. Discovering travelling wave solutions for fractional partial differential equations is an arduous task, and several mathematical approaches devise to address this issue. This investigation aims to compare two distinguished methods, namely, the generalized (G′G)-Expansion and the extended (G′G)-Expansion, in discovering the most optimal travelling wave solutions for fractional partial differential equations. Our observations indicate that the generalized (G′G)-Expansion method surpasses the extended (G′G)-Expansion method regarding the count of travelling wave solutions obtained. Moreover, the generalized (G′G)-Expansion method furnishes a more comprehensive and in-depth comprehension of physical phenomena by revealing a greater number of travelling wave solutions. This exploration validates the effectiveness of the generalized (G′G)-Expansion method in resolving intricate fractional partial differential equations and underscores its potential for further investigation and application in a variety of fields. Lastly, this study demonstrates the effectiveness of the proposed approaches in discovering travelling wave solutions and shed light on the intricate behavior of waves through plotted graphs, thereby contributing to the body of knowledge on this subject
The Strength of a Dream: A Daughter\u27s Portrait of a Northwest Children\u27s Author and Illustrator
No full textAuthor and multi-dimensional artist Skye Burn discusses the life and legacy of her mother, award-winning children\u27s book author and illustrator Doris Burn, and shares anecdotes of her family\u27s life on Waldron Island. Doris (Wernstedt) Burn authored and illustrated the 1965 classic Andrew Henry\u27s Meadow, and wrote or illustrated a range of other well-known children\u27s books. During the second half of the event, Sylvia Tag (Librarian and Curator of the Children’s Interdisciplinary Children’s Literature Collection) facilitates a conversation about Doris Burn’s work
Multi-hop Backscatter Tag-to-Tag Networks
No full textWe characterize the performance of a backscatter tag-to-tag (T2T) multi-hop network. For this, we developed a discrete component-based backscatter T2T transceiver and a communication protocol suite. The protocol composed of a novel (i) flooding-based link control tailored towards backscatter transmission, and (ii) low-power listening MAC. The MAC design is based on the new insight that backscatter reception is more energy costly than transmission. Our experiments show that multi-hopping extends the coverage of backscatter networks by enabling longer backward T2T links (tag far from the exciter sending to the tag close to the exciter). Four hops, for example, extend the communication range by a factor of two. Furthermore, we show that dead spots in multi-hop T2T networks are far less significant than those in the single-hop T2T networks.Embedded System
Electronic markers for geological research: Tag Design
No full textIn this thesis, the implementation of a passive, chipless, frequency coded Radio-Frequency Identification (RFID) tag for bedload transport studies is proposed. The proposed tag will be deployed in the semi-arid Río Colorado river, Bolivia with the aim to develop quantitative sediment transport models that relate transport to grain size. The designed tag is an open-loop resonator with a fragment-loading structure, that has an op- timised configuration based on a Multiobjective Evolutionary Algorithm based on Decomposition combined with Enhanced Genetic Operators (MOEA/D-GO). The designed RFID tag can ideally reach a size of 4 by 4 millimetres with a maximum calculated reading range of 1.3 meters, and operates in the ultra wide band from 3 to 7 gigahertz. Numerous simulations on the tags were run to verify their properties. The tags proved to have a good directivity, quality factor and radio cross section on its resonant frequency. The tags could reach resonance frequencies as low as 2.9 gigahertz and quality factors as high as 130. The proof of concept on a Printed Circuit Board with an FR-4 substrate results in a tag of 6.4 by 3.4 millimetres. Unfortunately, these properties could not yet be verified by measuremenElectrical Engineering | Electronic Instrumentatio
Application of neural network and dual-energy radiation-based detection techniques to measure scale layer thickness in oil pipelines containing a stratified regime of three-phase flow
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Open AccessArticle
Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified Regime of Three-Phase Flow
by Abdulilah Mohammad Mayet 1ORCID,Tzu-Chia Chen 2,3,*ORCID,Ijaz Ahmad 4,*,Elsayed Tag Eldin 5ORCID,Ali Awadh Al-Qahtani 1,Igor M. Narozhnyy 6,John William Grimaldo Guerrero 7ORCID andHala H. Alhashim 8
1
Electrical Engineering Department, King Khalid University, Abha 61411, Saudi Arabia
2
College of Management and Design, Ming Chi University of Technology, New Taipei City 243303, Taiwan
3
International College, Krirk University, Bangkok, 3 Ram Inthra Rd, Khwaeng Anusawari, Khet Bang Khen, Krung Thep Maha Nakhon 10220, Thailand
4
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences (UCAS), Shenzhen 518055, China
5
Electrical Engineering Department, Faculty of Engineering & Technology, Future University in Egypt, New Cairo 11845, Egypt
6
Department of Commercialization of Intellectual Activity Resultse Center for Technology Transfer of RUDN University, Mining Oil and Gas Department, RUDN University, 117198 Moscow, Russia
7
Department of Energy, Universidad de la Costa, Barranquilla 080001, Colombia
8
Department of Physics, College of Science, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Mathematics 2022, 10(19), 3544; https://doi.org/10.3390/math10193544
Received: 3 August 2022 / Revised: 15 September 2022 / Accepted: 17 September 2022 / Published: 28 September 2022
(This article belongs to the Special Issue Application of Artificial Neural Network as Mathematical Tool in Engineering and Management Problems)
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Abstract
Over time, oil pipes are scaled, which causes problems such as a reduction in the effective diameter of the oil pipe, an efficiency reduction, waste of energy, etc. Determining the exact value of the scale inside the pipe is very important in order to take timely action and to prevent the mentioned problems. One accurate detection methodology is the use of non-invasive systems based on gamma-ray attenuation. For this purpose, in this research, a scale thickness detection system consisting of a test pipe, a dual-energy gamma source (241Am and 133Ba radioisotopes), and two sodium iodide detectors were simulated using the Monte Carlo N Particle (MCNP) code. In the test pipe, three-phase flow consisting of water, gas, and oil was simulated in a stratified flow regime in volume percentages in the range from 10% to 80%. In addition, a scale with different thicknesses from 0 to 3 cm was placed inside the pipe, and gamma rays were irradiated onto the pipe; on the other side of the pipe, the photon intensity was recorded by the detectors. A total of 252 simulations were performed. From the signal received by the detectors, four characteristics were extracted, named the Photopeaks of 241Am and 133Ba for the first and second detectors. After training many different Multi-Layer Perceptron(MLP) neural networks with various architectures, it was found that a structure with two hidden layers could predict the connection between the input, extracted features, and the output, scale thickness, with a Root Mean Square Error (RMSE) of less than 0.06. This low error value guarantees the effectiveness of the proposed method and the usefulness of this method for the oil and petrochemical industry
On the Privacy of Two Tag Ownership Transfer Protocols for RFIDs
Get PDFIn this paper, the privacy of two recent RFID tag ownership transfer protocols are investigated against the tag owners as adversaries. The first protocol called ROTIV is a scheme which provides a privacy-preserving ownership transfer by using an HMACbased authentication with public key encryption. However, our passive attack on this protocol shows that any legitimate owner which has been the owner of a specific tag is able to trace it either in the past or in the future. Tracing the tag is also possible via an active attack for any adversary who is able to tamper the tag and extract its information. The second protocol called, Chen et al.’s protocol, is an ownership transfer protocol for passive RFID tags which conforms EPC Class1 Generation2 standard. Our attack on this protocol shows that the previous owners of a particular tag are able to trace it in future. Furthermore, they are able even to obtain the tag’s secret information at any time in the future which makes them capable of impersonating the tag
Towards tagging and categorization for micro-blogs
No full textPaper presented at the 21st National Conference on Artificial Intelligence and Cognitive Science (AICS 2010), Galway, Ireland, 30 August - 1 September, 2010Abstract. Micro-blogging services are becoming very popular among users who want to share local or global news, their knowledge or their opinions on the real-time web. Lately, users are also using these services to search for information, and some services include tag or category information
to better facilitate search. However, these tags are typically free-form in nature with users permitted to adopt their own conventions without restriction, which can make the set of tags noisy and sparse. A
solution to this problem is to recommend tags (or categories) to users. Our work represents an initial study in the recommendation of categories for short-form messages in order to provide for better search and message filtering. In particular, we describe how such real-time web data can be used as a source of indexing and retrieval information for category recommendation. An evaluation performed on two different micro-blogging datasets indicates that promising performance is achieved by our approach.Science Foundation IrelandConference detailshttp://aics.nuigalway.ie/Not yet published in "Proceedings of the 21st Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2010)" to be (most probably) published by Springer. On publication, 12 months embargo. Condition: provide a link to the published article on Springer’s website, accompanied by the text “The final publication is available at springerlink.com”. Author version can remain as is (no set text)- AV 7/10/2010. ke SB. 11/10/201
Series SRR Loaded UHF RFID Tag
No full textAbstractAn RFID tag based on a series loaded split ring resonator (SRR) to operate in the European UHF RFID band of 865-867MHz is reported. A chip of impedance 27-j212Ω is connected at the terminals of the antenna and the read range measurements of the RFID tag are performed in the UHF RFID band. The proposed UHF tag exhibits appreciably good read range over a wide azimuth and elevation angular ranges
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