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作者： Saleh, S.A. Kanukollu, Saikrishna Al-Durra, Ahmed University of New Brunswick FrederictonNBE3B 5A3 Canada Khalifa University Abu Dhabi127788 United Arab Emirates Khalifa University of Science Technology Electrical and Computer Engineering Abu Dhabi127788 United Arab Emirates

The growing interests in utilizing Photovoltaic (PV) systems are usually faced with challenges of accurate and reliab.e protection of these distributed generation units. A desired protection of PV systems has to effectively and accurately detect and respond to internal faults (within the PV system) and external faults (in the host grid and/or fed loads). This article presents and tests the performance of a digital ground fault protection (DGFP) for grid-connected PV systems. The presented DGFP detects faults based on the energy contents of high frequency sub-bands of the ground current. These energy contents are extracted using the phaselet transform that can process signals with non-stationary variations in their phases. energy contents of the high frequency sub-bands can provide accurate, fast, and reliab.e detection and identification of faults experienced by a PV system operated. The phaselet transform (PHT)-based DGFP is implemented for performance testing using PV systems that are operated in the grid-connected mode, and sub.ected to various fault and non-fault events. Performance results demonstrate accurate, fast, and reliab.e detection and response to different types of fault and non-fault events. Response features of the PHT-based DGFP are complimented with minor sensitivity to the level of power production and/or type and location of faults. © 1972-2012 Ieee.

关键词： Transient analysis

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Global Attitude Synchronization for Multi-agent Systems on SO(3)

arXiv

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arXiv 2025年

作者： boughellaba, Mouaad berkane, Soulaimane Tayebi, Ab.elhamid Department of Electrical Engineering Lakehead University Thunder BayONP7B 5E1 Canada Department of Computer Science and Engineering University of Quebec in Outaouais GatineauQC Canada

In this paper, we address the prob.em of attitude synchronization for a group of rigid body systems evolving on SO(3). The interaction among these systems is modeled through an undirected, connected, and acyclic graph topology. First, we present an almost global continuous distributed attitude synchronization scheme with rigorously proven stability guarantees. Thereafter, we propose two global distributed hybrid attitude synchronization schemes on SO(3). The first scheme is a hybrid control law that leverages angular velocities and relative orientations to achieve global alignment to a common orientation. The second scheme eliminates the dependence on angular velocities by introducing dynamic auxiliary variab.es, while ensuring global asymptotic attitude synchronization. This velocity-free control scheme relies exclusively on attitude information. Simulation results are provided to illustrate the effectiveness of the proposed distributed attitude synchronization schemes. Copyright © 2025, The Authors. All rights reserved.

关键词： Synchronization

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Nonlinear Ob.erver Design for Landmark-Inertial Simultaneous Localization and Mapping

arXiv

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arXiv 2025年

This paper addresses the prob.em of Simultaneous Localization and Mapping (SLAM) for rigid body systems in three-dimensional space. We introduce a new matrix Lie group Se3+n(3), whose elements are composed of the pose, gravity, linear velocity and landmark positions, and propose an almost globally asymptotically stab.e nonlinear geometric ob.erver that integrates Inertial Measurement Unit (IMU) data with landmark measurements. The proposed ob.erver estimates the pose and map up to a constant position and a constant rotation about the gravity direction. Numerical simulations are provided to validate the performance and effectiveness of the proposed ob.erver, demonstrating its potential for robust SLAM applications. Copyright © 2025, The Authors. All rights reserved.

关键词： Lie groups

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Modeling of Four-Winged Micro Ornithopters Inspired by Dragonflies

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IFAC-PapersOnLine 2023年第2期56卷 10752-10759页

作者： Oussama Sifour Soulaimane berkane Ab.elhamid Tayebi Department of Computer Science and Engineering University of Quebec in Outaouais Gatineau QC Canada Department of Electrical Engineering Lakehead University Thunder Bay ON P7B 5E1 Canada

In this paper, we present a full dynamical model of a four-winged micro ornithopter inspired by a dragonfly-type insect. The micro ornithopter is modeled as four articulated rigid body components (wings) connected to the main body via spherical joints. The dynamical model is derived using Lagrangian mechanics with intrinsic global coordinates, without relying on the common assumptions that neglect the wings-body interactions. Furthermore, the aerodynamic forces are modeled under the quasi-steady motion assumption without restricting the flapping frequency to be relatively high. This provides a full and elegant four-winged micro ornithopter model that captures the interaction between the body and the wings while avoiding the complexities and singularities associated with other coordinate representations (e.g., euler angles). Simulation studies of the inertial effects of the relative motion between the different parts of the multibody system show the importance of considering the forces and torques, resulting from the wings-body interaction, in motion generation of these insects.

关键词： Flapping Wing Unmanned Aerial Vehicles Dragonfly Ornithopter Lagrangian Mechanics Global Coordinates

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binary equilibrium Optimizer Algorithm

Journal of Network Intelligence

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Journal of Network Intelligence 2022年第1期7卷 45-58页

作者： Hu, Pei Chu, Shu-Chuan Snášel, Václav Pan, Jeng-Shyang College of Computer Science and Engineering Shandong University of Science and Technology No.579 Qianwan’gang Road Shandong Qingdao266590 China School of Computer and Software Nanyang Institute of Technology No.80 Changjiang Road Henan Nanyang473004 China College of Science and Engineering Flinders University Sturt Rd Bedford ParkSA5042 Australia Department of Computer Science VŠB—Technical University of Ostrava 17. listopadu 2172/15 Poruba Ostrava708 00 Czech Republic Department of Information Management Chaoyang University of Technology No.168 Jifeng E. Rd. Wufeng District Taichung413310 Taiwan

equilibrium optimizer (eO) is a new proposed meta-heuristic algorithm by utilizing the mass balance model of the control volume. In order to solve the binary appli-cations, this paper proposes a binary version of equilibrium optimizer (beO). beO takes advantage of the structure of eO, only modifying the equations of equilibrium concentra-tion and position updating. Through the benchmark functions and Wilcoxon’s rank sum test, it compares beO with binary bat algorithm, binary differential evolution, binary grey wolf optimizer, binary particle swarm optimization, and a binary hybrid algorithm of particle swarm optimization and gravitational search algorithm. beO shows excep-tional performance in the solving quality, time complexity and convergence. Simulation results prove that beO acquires the least classification errors while having a small number of features in the KNN. © 2022, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Particle swarm optimization (PSO)

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Attractor and Slicing Analysis of a T Cell Differentiation Model based on Reaction Systems 11th

Attractor and Slicing Analysis of a T Cell Differentiatio...

引用

11th International Symposium on From Data to Models and back, DataMod 2023

作者： brodo, Linda bruni, Roberto Falaschi, Moreno Gori, Roberta Milazzo, Paolo Dipartimento di Scienze Economiche e Aziendali University of Sassari Via Muroni 25 Sassari07100 Italy Department of Computer Science University of Pisa Largo B. Pontecorvo 3 Pisa56127 Italy Department of Information Engineering and Mathematics University of Siena Via Roma 56 Siena53100 Italy

ISBN: (纸本)9783031872167

Reaction Systems (RSs) were introduced in the field of natural computing as a qualitative model inspired by biological systems. In a RS, each reaction comprises a set of reactants that generate products unless inhibited by reaction inhibitors. We propose a method for analyzing the attractors of a RS model (the states to which the system converges) and for identifying the entities responsib.e for their attainment. Our approach builds on (i) the construction of a Labeled Transition System (LTS) based on a formal SOS semantics of RSs, and (ii) the application of a slicing method to the trajectories within the LTS. Our model analysis provides new insights with respect to previous studies. We illustrate our methodology on a case study that demonstrates its capability to identify stimulus combinations that lead to specific phenotypes, but also to elucidate the involvement of proteins within T cells in each scenario. These findings allow for a better understanding of the phenomenon and for the identification of potential drug targets for diseases. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Differentiation (calculus)

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Hybrid Competitive Swarm Optimization Algorithm based Scheduling in the Cloud Computing environment 5

Hybrid Competitive Swarm Optimization Algorithm Based Schedu...

引用

5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023

作者： Shrichandran, G.V. Narayana Tinnaluri, V.S. Senthil Murugan, J. Meeradevi, T. Dwivedi, Vijay Kumar Suma Christal Mary, S. B.Sc -CS Programme Srm Institute of Science and Technology Department of Computer Science & Applications Ramapuram Chennai89 India Koneru Lakshmaiah Education Foundation Department of Computer Science Vaddeswaram522025 India Vel Tech High Tech Dr. Rangarajan Dr.Sakunthala Engineering College Avadi Chennai India Kongu Engineering College Department of Ece Perundurai Erode India V.E.C. Ambikapur Dist Surguja497001 India Panimalar Engineering College Poonamalle Department of Information Technology Tamil Nadu Chennai India

ISBN: (纸本)9798350321425

Cloud computing (CC) platform not only offers resource sharing for users and also provide many on-demand services. business procedures can be managed to utilize the workflow technology on the cloud which signifies most of the prob.ems in employing the resources in an effectual approach because of the dependencies between the tasks. Task scheduling (TS) in a CC platform applies to the procedure of effectively allocating resources computing to tasks or jobs submitted to the CC environment. In a cloud platform, tasks are separated as smaller subtasks that are applied in parallel on distinct machines. There are many features to consider if the TS is in CC platform, comprising the kind of tasks like resources cost, resources required, and resources availability. Therefore, this study presents a Hybrid Competitive Swarm Optimization Algorithm based Task Scheduling (HCSOA-TS) technique in the CC platform. The presented HCSOA-TS technique schedules the tasks proficiently in such a way that maximum resource utilization and performance gets accomplished. In the design of HCSOA, Cauchy mutation operator is included in the CSO algorithm and thereby improves the overall performance. In addition, the derivation of the fitness function by the HCSOA-TS technique undergoes optimal scheduling process and decreases energy usage. The experimental result analysis of the HCSOA-TS technique is tested using a series of measures. The comprehensive comparison study highlighted the improvements of the HCSOA-TS technique over recent approaches. © 2023 Ieee.

关键词： Cloud computing

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Comparative Study and Analysis of Cloud Container Technology

Comparative Study and Analysis of Cloud Container Technology

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International Conference on Computing for Sustainab.e Global Development (INDIACom)

作者： e. Saravana Kumar Raghu Ramamoorthy Selvaraj Kesavan T Shobha Seema Patil b Vighneshwari Department of Computer Science and Engineering The Oxford College of Engineering Bengaluru India DXC Technology Bengaluru India Department of ISE B.M.S.C.E. Bengaluru India Department of CSE B.M.S.C.E. Bengaluru India Department of Electrical and Electronics Engineering The Oxford College Engineering Bengaluru India

The advent of digital transformation has revolutionized the way businesses operate. Applications have become the focal point of this transformation, shifting the focus from being organization-centric to user-centric. To realize the full potential of businesses, high-quality, secure, and agile applications are essential. Containers are a cutting-edge invention in the world of virtualization, gaining immense popularity in recent years. They have replaced traditional business continuity solutions and are now used to address highly demanding business needs. Multiple containers and orchestration frameworks are availab.e, both as standalone and cloud-based services. However, developers and industry experts face challenges in identifying and evaluating the appropriate containers and orchestration frameworks for their application needs. The selected tools may not always be feasib.e due to a lack of availab.e features, inability to provide agility, and lack of platform support. When applications are deployed across multiple containers, coordination and management among container clusters become critical. Since containers play a pivotal role in edge deployment, cloud-native, continuous integration, and continuous deployment, it is vital to have centralized orchestration for proper re-source management and scheduling. This paper discusses and compares emerging container platforms and cloud-centric orchestration frameworks, highlighting the challenges involved.

关键词：

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Two-Server Private Information Retrieval with High Throughput and Logarithmic bandwidth

Two-Server Private Information Retrieval with High Throughpu...

引用

2023 Ieee/CIC International Conference on Communications in China, ICCC 2023

作者： Huang, Cheng Yang, Anjia Liu, Dongxiao Lu, Rongxing Shen, Xuemin Sherman University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada Jinan University College of Cyber Security Guangzhou510632 China University of New Brunswick Faculty of Computer Science FrederictonNBE3B 5A3 Canada Pazhou Lab Guangzhou China

ISBN: (纸本)9798350345384

In this paper, we propose a high-throughput, logarithmic-bandwidth private information retrieval (PIR) scheme, which enab.es a client to securely retrieve any record from a database replicated on two remote servers without revealing the record index. Specifically, based on the puncturab.e pseudorandom function (PPRF), a client first leverages randomized mapping to locate a logarithmic-size punctured PRF key capab.e of replacing a randomized set of arbitrary size while concealing a chosen element within the set. With the key, the client then generates corresponding PIR queries for two servers, achieving logarithmic communication complexity. Upon receiving the queries, the servers independently perform level-I PPRF evaluations on partitioned databases, i.e., buckets, to obtain intermediate results, and cooperatively perform level-II PPRF evaluations on these results to provide fast PIR responses. The two-level recursive approach can significantly reduce the servers' computational complexity from linear to sublinear, ensuring high throughput. Finally, we conduct a comprehensive security analysis and develop a proof-of-concept prototype to demonstrate the efficiency and security of the proposed PIR scheme. © 2023 Ieee.

关键词： bandwidth

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A Methodology to Forecast the Control Capacity and Control Payback of a Population of Thermostatically Controlled Appliances in a Demand-Side Management

IEEE Canadian Journal of Electrical and Computer Engineering

引用

Ieee Canadian Journal of electrical and computer engineering 2021年第2期44卷 136-142页

作者： Yazdkhasti, Pegah Diduch, Chris P. elkhateb, Ahmad The Department of Electrical and Computer Engineering University of New Brunswick FrederictonNBE3B 5A3 Canada The School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast BelfastBT7 1NN United Kingdom

Integrating renewab.e resources, such as wind and solar into the existing power system, has introduced new challenges due to their rapid fluctuations, which tends to decrease the reliability of the grid. One method to cope with this uncertainty and variability in generation is managing the demand side through direct load control. Thermostatically controlled appliances can play a significant role for this purpose;however, the system operator requires a reliab.e estimation about the magnitude of the load and how much it can be shifted. This article presents a novel methodology to formulate and forecast the control capacity of a population of thermostatically controlled appliances. In addition to that, this methodology can provide an estimation on how long the system can follow a desired level of power consumption and how the aggregated load would change once the controller stops (i.e., the payback). The performance of the proposed method was evaluated using a numerical simulator of a population of the loads. Simulation results show that the proposed method can provide a reliab.e estimation about controllability of the load in terms of minimum and maximum achievab.e load, the time interval that it can hold the load at a certain level, and how the uncontrolled load would behave after the control period. © 2021 Ieee.

关键词： Smart power grids

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