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Modelling and simulation of energy management of power-split hybrid electric vehicles using the discrete EVent system specification

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International Journal of Vehicle Systems Modelling and Testing 2024年第1期18卷 33-61页

作者： Maatoug, Abdelfettah Kharoubi, Sahraoui Maaskri, Moustafa Belalem, Ghalem Mahmoudi, Said Faculty of Applied Sciences Science and Technology Department University of Tiaret Tiaret14000 Algeria Faculty of Mathematics and Computer Science Computer Science Department University of Tiaret Tiaret14000 Algeria Faculty of Applied Sciences Electrical Engineering Department University of Tiaret Tiaret14000 Algeria Faculty of Exact and Applied Sciences Computer Science Department University of Oran 1 Ahmed Ben Bella Oran31000 Algeria Faculty of Engineering Computer Science Department University of Mons Mons7000 Belgium

This work provides a basis for studying energy management optimisation in power-split hybrid electric vehicles (PSHEVs) to reduce fuel consumption and increase powertrain efficiency by enforcing a strategy related to battery level and vehicle speed. Three modes were used to operate the vehicle to meet different situations related to available energy and desired speed. These are particularly abundance mode, ascetic mode and optimal mode. For this, a system was designed based on several sub-models written in the discrete EVent system (DEVS) specification. The vehicle's power train and control strategy models were created in the DEVSimPy environment, and a joint simulation was carried out from the composite sub models until the overall model is reached. Simulation results under several driving cycles showed that the proposed system improves the energy consumption of the vehicle in different operating modes of the engines and gives more opportunities to adopt electric motors in vehicle transmission. © 2024 Inderscience Enterprises Ltd.

关键词： Energy management

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On The Symbolic 2-plithogenic Fermat's Non-Linear Diophantine Equation

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Neutrosophic Sets and Systems 2023年 59卷 13-21页

作者： Alrawashdeh, Heba Al-Basheer, Othman Hajjari, Arwa Faculty of Computer Information Systems The University of Jordan Aqaba Jordan Sudan University of Science and Technology Faculty of Science Khartoum Sudan Cairo University Department of Mathematics Cairo Egypt

This paper is dedicated to find all symbolic 2-plithogenic integer solutions for the symbolic 2-plithogenic Fermat's Diophantine equation Xn + Yn = Zn for n ≥ 3. We prove that it has exactly 27 solutions, and we ... 详细信息

关键词： Fermat's Diophantine equation symbolic 2-plithogenic integer symbolic 2-plithogenic ring

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Adaptive energy-preserving algorithms for guiding center system

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Plasma science and technology 2023年第4期25卷 11-22页

作者：朱贝贝刘健张嘉炜祝爱卿唐贻发 Department of Applied Mathematics School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083Peopleʼs Republic of China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026Peopleʼs Republic of China Advanced algorithm Joint Lab Shandong Computer Science CenterQilu University of TechnologyJinan 250014Peopleʼs Republic of China The State Key Laboratory of Scientific and Engineering Computing The Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190Peopleʼs Republic of China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049Peopleʼs Republic of China

We develop two types of adaptive energy preserving algorithms based on the averaged vector field for the guiding center dynamics,which plays a key role in magnetized *** adaptive scheme is applied to the Gauss Legendre’s quadrature rules and time stepsize respectively to overcome the energy drift problem in traditional energy-preserving *** new adaptive algorithms are second order,and their algebraic order is carefully *** results show that the global energy errors are bounded to the machine precision over long time using these adaptive algorithms without massive extra computation cost.

关键词： guiding center system energy-preserving methods adaptive energy conservation

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Emerging Trends in Social Networking Systems and Generation Gap with Neutrosophic Crisp Soft Mapping

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computer Modeling in Engineering & sciences 2023年第8期136卷 1759-1783页

作者： Muhammad Riaz Masooma Raza Hashmi Faruk Karaaslan Aslıhan Sezgin Mohammed M.Ali Al Shamiri Mohammed M.Khalaf Department of Mathematics University of the PunjabLahorePakistan Department of Mathematics CankırıKaratekin UniversityCankırıTurkey Department of Mathematics and Science Education Amasya UniversityAmasyaTurkey Department of Mathematics Faculty of Science and ArtsKing Khalid UniversityMuhayl AssirSaudi Arabia Department of Mathematics and Computer Faculty of ScienceIbb UniversityIbbYemen Higher Institute of Engineering and Technology King Marriott AlexandriaEgypt Faculty of Engineering Arab Academy for Science&Technology and Maritime Transport(AASTMT)Aswan BranchEgypt

This paper aims to introduce the novel concept of neutrosophic crisp soft set(NCSS),including various types of neutrosophic crisp soft sets(NCSSs)and their fundamental *** define NCS-mapping and its inverse NCS-mapping between two *** develop a robust mathematical modeling with the help of NCS-mapping to analyze the emerging trends in social networking systems(SNSs)for our various *** investigate the advantages,disadvantages,and natural aspects of SNSs for five *** the changing of the generations,it is analyzed that emerging trends and the benefits of SNSs are increasing day by *** suggested modeling with NCS-mapping is applicable in solving various decision-making problems.

关键词： Neutrosophic crisp soft set operations of NCSSs NCS-mapping inverse NCS-mapping social networking systems decision-making

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Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks 1

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The 6th International Conference on Geometric science of Information, GSI 2023

作者： Pai, Gautam Bellaard, Gijs Smets, Bart M. N. Duits, Remco Department of Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands

ISBN: (数字)9783031382710

ISBN: (纸本)9783031382703

We build on the recently introduced PDE-G-CNN framework, which proposed the concept of non-linear morphological convolutions that are motivated by solving HJB-PDEs on lifted homogeneous spaces such as the homogeneous space of 2D positions and orientations isomorphic to G= SE(2 ). PDE-G-CNNs generalize G-CNNs and are provably equivariant to actions of the roto-translation group SE(2). Moreover, PDE-G-CNNs automate geometric image processing via orientation scores and allow for a meaningful geometric interpretation. In this article, we show various functional properties of these networks: (1.)PDE-G-CNNs satisfy crucial geometric and algebraic symmetries: they are semiring quasilinear, equivariant, invariant under time scaling, isometric, and are solved by semiring group convolutions.(2.)PDE-G-CNNs exhibit a high degree of data efficiency: even under limited availability of training data they show a distinct gain in performance and generalize to unseen test cases from different datasets.(3.)PDE-G-CNNs are extendable to well-known convolutional architectures. We explore a UNet variant of PDE-G-CNNs which has a new equivariant U-Net structure with PDE-based morphological convolutions. We verify the properties and show favorable results on various datasets. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Lie groups

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A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices

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computers, Materials & Continua 2024年第1期78卷 31-63页

作者： Sunil Kumar Dilip Kumar Ramraj Dangi Gaurav Choudhary Nicola Dragoni Ilsun You Department of Computer Science and Engineering National Institute of Technology JamshedpurJamshedpurIndia School of Computing Science and Engineering VIT University BhopalBhopal466114India Center for Industrial Software The Maersk Mc-Kinney Moller InstituteUniversity of Southern DenmarkSonderborgOdenseDenmark Department of Applied Mathematics and Computer Science Technical University of DenmarkLyngby2800Denmark Department of Information Security Cryptologyand MathematicsKookmin UniversitySeoulSouth Korea

The widespread and growing interest in the Internet of Things(IoT)may be attributed to its usefulness in many different *** settings are probed for data,which is then transferred via linked *** are several hurdles to overcome when putting IoT into practice,from managing server infrastructure to coordinating the use of tiny *** it comes to deploying IoT,everyone agrees that security is the biggest *** is due to the fact that a large number of IoT devices exist in the physicalworld and thatmany of themhave constrained resources such as electricity,memory,processing power,and square *** research intends to analyse resource-constrained IoT devices,including RFID tags,sensors,and smart cards,and the issues involved with protecting them in such restricted *** lightweight cryptography,the information sent between these gadgets may be *** order to provide a holistic picture,this research evaluates and contrasts well-known algorithms based on their implementation cost,hardware/software efficiency,and attack resistance *** also emphasised how essential lightweight encryption is for striking a good cost-to-performance-to-security ratio.

关键词： IoT a sensor device lightweight cryptography block cipher smart card security and privacy

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A novel fuzzy reliability method for the marine power plant under different intuitionistic fuzzy environments

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Life Cycle Reliability and Safety Engineering 2024年第4期13卷 467-482页

作者： Kumar, Mintu Singh, S.B. Department of Mathematics Statistics and Computer Science G.B. Pant University of Agriculture Technology Uttarakhand Pantnagar India

In marine engineering, the reliability of marine power plants is crucial for ensuring the safety and operational efficiency of seagoing vessels. Challenges in maintaining reliability may arise from the complexity and inherent uncertainty of marine environments. Traditional reliability assessment methods often do not precisely capture the ambiguities and stochastic nature of marine operations, leading to safety and performance gaps. Therefore, fuzzy sets were used to evaluate system reliability, where each component’s reliability were expressed by a fuzzy number. However, in complex systems, experts face difficulties in precisely determining membership functions for component failures. To address these issues of traditional and fuzzy fault tree methods, this paper proposes a novel reliability calculation method based on intuitionistic fuzzy sets. In this method, the failure probabilities of basic events in the system fault tree are considered as different intuitionistic fuzzy numbers and weakest t-norm based approximate arithmetic operations are performed over these different intuitionistic fuzzy numbers to spread the uncertainty up to a significant level. By applying the proposed method, we have developed the fuzzy reliability models for both series and parallel systems. In this study, a marine power plant system is taken as a numerical example to verify the proposed method. The results obtained using the proposed method are compared with those obtained using traditional and fuzzy fault tree methods. © The Author(s), under exclusive licence to Society for Reliability and Safety (SRESA) 2024.

关键词： Fault tree analysis Fuzzy reliability Intuitionistic fuzzy set Marine power plant Weakest t-norm

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Availability assessment of repairable linear consecutive k-out-of-n: F systems incorporating uncertainty and multiple failure modes

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Life Cycle Reliability and Safety Engineering 2025年 1-10页

作者： Khati, Amisha Singh, S.B. Department of Mathematics Statistics and Computer Science G. B. Pant University of Agriculture and Technology Pantnagar India Department of Applied Science and Humanities RIT Roorkee India

This study evaluates the interval-valued availability of a linear consecutive k-out-of-n: F system while considering uncertainty, where the probability that the system will perform as intended is not known with precision. The proposed system is susceptible to µ number of different failure modes and undergoes periodic inspections. Each failure mode has a randomly assigned failure time, and upon failure due to the mth failure mode, an immediate corrective repair is carried out, taking an arbitrary length of time ψm (m = 1, 2,…, µ). By integrating these factors, this research establishes theorems describing point and steady-state availability bounds. Subsequently, it conducts a sensitivity assessment to evaluate how variations in the inspection period affect the system’s availability. The findings are demonstrated with an instance of an oil pipeline system. This study offers valuable insights into the reliability and availability modelling of complex systems under uncertainty, with applications across diverse engineering domains. © The Author(s), under exclusive licence to Society for Reliability and Safety (SRESA) 2025.

关键词： Interval valued point availability Interval valued steady state availability Linear consecutive k-out-of n: F system Multiple failure modes Sensitivity analysis Uncertainty

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Genetic-Chicken Swarm Algorithm for Minimizing Energy in Wireless Sensor Network

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computer Systems science & Engineering 2023年第2期44卷 1451-1466页

作者： A.Jameer Basha S.Aswini S.Aarthini Yunyoung Nam Mohamed Abouhawwash Department of Computer Science and Engineering Hindusthan Institute of TechnologyCoimbatore641032India Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of ComputationalMathematics Science and Engineering(CMSE) Michigan State University East LansingMI48824USA.

Wireless Sensor Network(WSN)technology is the real-time applica-tion that is growing rapidly as the result of smart *** power is one of the most signiﬁcant resources in *** enhancing a power factor,the clustering techniques are *** the forward of data in WSN,more power is *** the existing system,it works with Load Balanced Cluster-ing Method(LBCM)and provides the lifespan of the network with scalability and *** the existing system,it does not deal with end-to-end delay and deliv-ery of *** overcoming these issues in WSN,the proposed Genetic Algo-rithm based on Chicken Swarm Optimization(GA-CSO)with Load Balanced Clustering Method(LBCM)is *** Algorithm generates chromosomes in an arbitrary method then the chromosomes values are calculated using Fitness *** Swarm Optimization(CSO)helps to solve the complex opti-mization ***,it consists of chickens,hens,and *** divides the chicken into *** Balanced Clustering Method(LBCM)maintains the energy during communication among the sensor nodes and also it balances the load in the *** proposed GA-CSO with LBCM improves the life-span of the ***,it minimizes the energy consumption and also bal-ances the load over the *** proposed method outperforms by using the following metrics such as energy efﬁciency,ratio of packet delivery,throughput of the network,lifetime of the sensor ***,the evaluation result shows the energy efﬁciency that has achieved 83.56%and the delivery ratio of the packet has reached 99.12%.Also,it has attained linear standard deviation and reduced the end-to-end delay as 97.32 ms.

关键词： Energy efﬁciency sensor nodes chicken swarm optimization load balanced clustering method wireless sensor network cluster heads load-balancing ﬁtness function

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HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems 34

HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework f...

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34th GI-Workshop on Foundations of Databases, GvDB 2023

作者： Mohammadi, Amir Reza Karimi, Amir Hossein Bohlouli, Mahdi Zangerle, Eva Specht, Günther Department of Computer Science Universität Innsbruck Austria Mathematics and Computer Science Department Amirkabir University of Technology Tehran Iran Computer Science and Information Technology Department IASBS Zanjan Iran

Recommender systems have evolved beyond the basic user-item filtering methods in research. However, these filtering methods are still commonly used in real-world scenarios, mainly because they are easier to debug and reconfigure. Indeed the existing frameworks do not adequately support algorithmic tuning. Moreover, they are primarily focused on the reproducibility of state-of-the-art accuracy rather than ease of algorithm development and maintenance. Therefore, rapid and iterative experimentation and debugging are considerably hindered. In this work, we propose an AutoML-based framework with a modular deep session-based recommender code-base and an integrated automated HyperParameter Tuning (HPT4Rec) component. The proposed framework automates searching for the best session-based model for a given data. Therefore it can help to consistently update the model based on potential changes in the type and volume of data that is prevalent for a real-world scenario. It is demonstrated that HPT4Rec provides extensible data structures, training service compatibility, and GPU-accelerated execution while maintaining training efficiency and recommendation accuracy. We have conducted our experiments on the benchmark RecSys 2015 dataset and achieved performance on par with state-of-the-art results. Achieved results of our experiments show the importance of continuous and iterative parameter tuning, particularly for real-world scenarios. © 2023 Copyright for this paper by its authors.

关键词： Recommender systems

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