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2nd International Conference on Nonlinear Dynamics and Applications, ICNDA 2024

作者： Chettri, Yogesh Micheal, David Raj Abdul Rahim, M.F. Department of Mathematics Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim Majitar737136 India Vellore Institute of Technology Tamil Nadu Vellore India University Malaysia of Computer Science and Engineering Aras 1 and 2 Block 2 VSQ@PJ City Centre Jalan Utara Section 14 Selangor Petaling Jaya46200 Malaysia

ISBN: (纸本)9783031668739

The research delves into investigating the propagation of two-soliton in a compressible hyperelastic rods in the framework of the KdV equation. Using suitable transformation, the KdV equation is transformed to the standard KdV equation. By utilizing the Hirota bilinear method, the two-soliton solution of the KdV equation is obtained. Time evaluation of the propagation of two-soliton are plotted. Effect of various parameters on the two soliton solution are also investigated. Phase shift and their variation for different parameter values are also presented. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Solitons

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Delay-Optimal and Incentive-Aware Computation Offloading for Reconfigurable Intelligent Surface-Assisted Mobile Edge Computing

IEEE Networking Letters

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IEEE Networking Letters 2022年第3期4卷 127-131页

作者： Kumar, Vikas Mukherjee, Mithun Lloret, Jaime Zhang, Qi Kumari, Mamta Bharat Sanchar Nigam Ltd. Network and Co-ordination Section Patna800001 India Nanjing University of Information Science and Technology School of Artificial Intelligence Nanjing210044 China Instituto de Investigacion Para la Gestion Integrada de Zonas Costears Universitat Politecnica de Valencia Valencia46022 Spain Aarhus University Department of Electrical and Computer Engineering Digit Aarhus8000 Denmark Ramchandra Chandravansi Institute of Technology Department of Computer Science and Engineering Bishrampur822124 India

To take the advantage of computing resource of edge server, the end-users must pay the service charge for task processing. However, the transmission delay plays an important role in communication-computation of edge computing. To address this, we aim to leverage reconfigurable intelligent surface (RIS) in mobile edge computing (MEC). In this letter, we propose an offloading policy to maximize the revenue of edge server while satisfying the end-user's goal of minimizing both the latency and cost based on the price by edge server. We provide an insight on required computing resources at the edge server for delay-sensitive task processing. © 2019 IEEE.

关键词： computation offloading

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Improving the Strut Modelling of the European Space Agency Deep Space Antennas to Evaluate Efficiency and Sidelobe Impact

Improving the Strut Modelling of the European Space Agency D...

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European Conference on Antennas and Propagation, EuCAP

作者： Davide Arenare Fabio Pelorossi Filippo Concaro Marco Pasian Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Directorate of Operations GSA Section European Space Operations Centre European Space Agency Darmstadt Germany

Large reflector antennas necessitate the presence of struts to support, according to the configuration, feeds or sub-reflectors. This paper presents the results of an investigation, in terms of sidelobe level and efficiency, of the impact on the antenna performance of the struts, considering the upcoming European Deep Space Antenna 4 (DSA4). In particular, for the first time in the framework of the DSA4 project, the strut model includes a tapering of the diameter of the strut itself, and a service platform and ladder (needed to reach the sub-reflector for maintenance), thus modeling with greater accuracy the real situation. The simulations presented here, carried out using Physical Optics, represent a rare opportunity to investigate these aspects, most often discarded due to the large computational time, and show that the impact on the antenna performance, for such high-end antennas, may be not negligible.

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Model-Based DRL for Task Scheduling in Dynamic Environments for Cognitive Multifunction Radar

Model-Based DRL for Task Scheduling in Dynamic Environments ...

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IEEE National Conference on Radar

作者： Sunila Akbar Raviraj S. Adve Zhen Ding Peter W. Moo Department of Electrical and Computer Engineering University of Toronto Toronto Canada Radar Sensing and Exploitation Section Defence Research and Development Canada (DRDC) Ottawa Research Center Ottawa Canada

ISBN: (数字)9798350329209

ISBN: (纸本)9798350329216

The uncertainty in the radar environment brings significant challenges to task scheduling in a cognitive multifunction radar (MFR). The recent radar task scheduling approaches assume the knowledge of the environment, which is unknown in real scenarios. To achieve online task scheduling for a cognitive radar which does not need to know the dynamics of the environment, this work investigates the model-based deep reinforcement learning (DRL), which learns the model of the environment to plan for scheduling tasks. The main idea of the model-based methods is to construct an abstract Markov-decision process (MDP) model such that planning in the abstract MDP is equivalent to planning in the real environment. Here, we tailor MuZero, proposed to learn to play games, to provide the needed model. The proposed algorithm is shown to be effective in MFR task scheduling while adapting to dynamic radar environments, without any a priori knowledge.

关键词： Training Adaptation models Schedules Uncertainty Heuristic algorithms Radar Predictive models

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Type II Solar Radio Burst Segmentation and Detection using Multi-Model Deep Learning Networks

Type II Solar Radio Burst Segmentation and Detection using M...

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Irish Signals and Systems Conference (ISSC)

作者： Jeremiah Scully Ronan Flynn Peter Gallagher Mark Daly Department of Computer and Software Engineering Technological University of the Shannon Athlone Ireland Astronomy & Astrophysics Section Dublin Institute of Advanced Studies Dublin Ireland

Type II Solar Radio Bursts (SRBs) are the result of particle acceleration by shock waves in the solar corona and interplanetary medium. The shocks are created by solar eruptions involving coronal mass ejections traveling at super-alfvenic speeds. The automatic detection, classification, and segmentation of such radio bursts is a challenge in solar radio physics due to their heterogeneous form. Large data rates produced by cutting-edge radio telescopes like the LOw-Frequency ARray (LOFAR) have made SRB detection and classification more feasible in recent years. In this study, we use a Generative Adversarial Network (GAN) to simulate Type II SRBs and then use this simulated data as a training set for a Mask R-CNN to detect and segment Type II SRBs automatically. Using this multi-model approach, we can accurately detect and segment Type II SRBs with a mean Average Precision (mAP) score of 78.90%.

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A Mathematical Model for the Selection of Software Requirements Elicitation Techniques

A Mathematical Model for the Selection of Software Requireme...

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International Conference on Confluence The Next Generation Information Technology Summit (Confluence)

作者： Virat Raj Saxena Rajeev Yadav Azra Parveen Mohd. Sadiq Department of Computer Science and Engineering Mangalayatan University Aligarh Uttar Pradesh India Indraprastha Research Laboratory Indraprastha Institute of Information Sciences Private Limited New Delhi India Software Engineering Laboratory Computer Engineering Section UPFET Jamia Millia Islamia A Central University New Delhi India

Various techniques have been developed for the identification of different types of requirements like interview, questionnaire, group elicitation techniques, attributed goal-oriented requirements analysis, fuzzy based goal-oriented requirements analysis method, non-functional requirements framework, etc. Based on the critical analysis of requirements elicitation methods, we found that single elicitation technique is not suitable to understand the need of the stakeholders. In real life applications, multiple elicitation techniques are required to elicit and select the requirements of an information system because each technique has its strength and limitations. Therefore, to address this issue, this paper presents a mathematical model for the selection of requirements elicitation techniques so that complete set of requirements along with its priority can be identified before the development of an information system. The institute examination system is considered to show the applicability of the proposed mathematical model.

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Structural RC computer aided intelligent analysis and computational performance via experimental investigations

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Structural engineering and Mechanics 2024年第3期90卷 253-261页

作者： Huang, Y.C. Lulios, TuMuli Chang, Chu-Ho Noor, M. Nasir Shao, Jen-Chung Chiu, Chien-Liang Lee, Tsair-Fwu Wang, Renata Information Technology Faculty Duy Tân University 254 Nguyen Van Linh Danang Viet Nam Princess Margaret Hospital Funafuti Island Private Mail Bag Tuvalu College of Electrical Engineering and Computer Science National Kaohsiung University of Science and Technology Kaohsiung Taiwan College of Maritime National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Medical Physics and Informatics Laboratory of Electronics Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Information and Research Center of China 1/9 Road: 2 Block: D Section: 15 Dhaka1216 Bangladesh

This research explores a new finite element model for the free vibration analysis of bi-directional functionally graded (BDFG) beams. The model is based on an efficient higher-order shear deformation beam theory that incorporates a trigonometric warping function for both transverse shear deformation and stress to guarantee traction-free boundary conditions without the necessity of shear correction factors. The proposed two-node beam element has three degrees of freedom per node, and the inter-element continuity is retained using both C1 and C0 continuities for kinematics variables. In addition, the mechanical properties of the (BDFG) beam vary gradually and smoothly in both the in-plane and out-of-plane beam’s directions according to an exponential power-law distribution. The highly elevated performance of the developed model is shown by comparing it to conceptual frameworks and solution procedures. Detailed numerical investigations are also conducted to examine the impact of boundary conditions, the bi-directional gradient indices, and the slenderness ratio on the free vibration response of BDFG beams. The suggested finite element beam model is an excellent potential tool for the design and the mechanical behavior estimation of BDFG structures. © 2024 Techno-Press, Ltd.

关键词： Boundary conditions

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Correlation Coefficient vs. Transmit Power for an Experimental Noise Radar

Correlation Coefficient vs. Transmit Power for an Experiment...

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IEEE National Conference on Radar

作者： David Luong Ian W. K. Lam Bhashyam Balaji Sreeraman Rajan Department of Systems and Computer Engineering Carleton University Ottawa Canada Radar Sensing and Exploitation Section Defence Research and Development Canada Ottawa Canada

In previous work, it was shown that a noise radars have two signal-to-noise ratios (SNRs) associated with them: one for the receive signal and another for the signal retained within for matched filtering. However, these two SNRs can be combined into a single correlation coefficient which can be easily be used for performance prediction. Unlike SNR, this correlation coefficient can be estimated directly from radar detection data. This work presents experimental verification of the theoretical relationship between the SNRs of a noise radar and the correlation coefficient, showing that it holds for a wide range of transmit powers.

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Fault Location Identification in Meshed AC Microgrids Using Interharmonic Injection 7

Fault Location Identification in Meshed AC Microgrids Using ...

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7th Iran Wind Energy Conference, IWEC 2021

作者： Forouzesh, Alireza Golsorkhi, Mohammad S. Savaghebi, Mehdi Baharizadeh, Mehdi Isfahan University of Technology Department of Electrical and Computer Engineering Isfahan Iran University of Southern Denmark Electrical Engineering Section Department of Mechanical and Electrical Engineering Odense Denmark Islamic Azad University Department of Electrical Engineering Isfahan Iran

ISBN: (纸本)9781665423779

This paper presents a support vector machine (SVM)-based fault detection algorithm for islanded meshed microgrids (MGs). Considering the low level of fault current in islanded MGs, the fault detection is carried out based on the magnitude of the voltage rather than the current. Accordingly, the rms voltages of the DERs are assigned as the feature vector for fault detection SVM. Upon the occurrence of a fault, the fault location is identified by means of an interharmonic injection scheme. To identify the faulty zone, the DER which is electrically closest to the fault injects interharmonic currents into the grid and the zone with highest current is considered as the faulty zone. Then, a second DER located in the same zone inject interharmonic currents at different frequencies. The resulting interharmonic voltages are measured by each DER to form a feature vector. A multi class SVM uses this feature vector to identify the faulty line within that zone. The proposed algorithm is tested on a nine bus meshed MG. Test results show that the proposed method is capable of accurate detection of fault location even with high fault impedances. © 2021 IEEE.

关键词： Fault detection

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Improved Type III solar radio burst detection using congruent deep learning models

arXiv

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arXiv 2023年

作者： Scully, Jeremiah Flynn, Ronan Gallagher, Peter T. Carley, Eoin P. Daly, Mark Department of Computer and Software Engineering Technological University of the Shannon Athlone Ireland Astronomy & Astrophysics Section Dublin Institute for Advanced Studies Dublin Ireland

Solar flares are energetic events in the solar atmosphere that are often linked with solar radio bursts (SRBs). SRBs are observed at metric to decametric wavelengths and are classified into five spectral classes (Type I–V) based on their signature in dynamic spectra. The automatic detection and classification of SRBs is a challenge due to their heterogeneous form. Near-realtime detection and classification of SRBs has become a necessity in recent years due to large data rates generated by advanced radio telescopes such as the LOw Frequency ARray (LOFAR). In this study, we implement congruent deep learning models to automatically detect and classify Type III SRBs. We generated simulated Type III SRBs, which were comparable to Type IIIs seen in real observations, using a deep learning method known as Generative Adversarial Network (GAN). This simulated data was combined with observations from LOFAR to produce a training set that was used to train an object detection model known as YOLOv2 (You Only Look Once). Using this congruent deep learning model system, we can accurately detect Type III SRBs at a mean Average Precision (mAP) value of 77.71%. © 2023, CC BY.

关键词： Generative adversarial networks

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