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arXiv 2025年

作者： Abrishami, Saeid Zandi, Faridreza Momtaz Nourbakhsh, Alireza Department of Computer Engineering Faculty of Engineering Ferdowsi University of Mashhad Mashhad Iran Departement of Control and Computer Engineering Politecnico di Torino Torino Italy

Cloud computing has emerged as a promising platform for running scientific workflows across various domains. Scientists can take advantage of different cloud service models, such as serverful or serverless, to execute workflows based on their specific requirements, along with diverse pricing models like on-demand, reserved, or spot instances to reduce execution costs. However, the challenge of selecting appropriate resources and pricing models, coupled with the orchestration and scheduling of workflow tasks, creates significant complexity for users. To mitigate this burden, Workflow as a Service (WaaS) brokers have been introduced to facilitate workflow execution. In recent years, numerous studies have been published, either directly or indirectly related to this research area, highlighting the need for a comprehensive and systematic review of WaaS brokers to identify key trends and challenges in this field. In this paper, we conduct a Systematic Literature Review (SLR) on WaaS brokers within cloud environments. The SLR employs a thorough 3-tier strategy (database search, backward snowballing, and forward snowballing) to answer five research questions. A total of 74 high-quality articles, published in 43 prestigious venues, are analyzed to derive a taxonomy based on the architecture of WaaS brokers. The articles are classified and surveyed according to this taxonomy, and future research directions for the design and implementation of WaaS brokers are explored. This study provides valuable insights for researchers and developers, helping them identify major trends and issues in the field of WaaS brokers. © 2025, CC BY.

关键词： Cloud platforms

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Hybrid Routing in VANETs Using OLSR and Q-Learning for Enhanced Performance

Hybrid Routing in VANETs Using OLSR and Q-Learning for Enhan...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Wafa Akermi Nouha Alyaoui Awatef Benfradj Guiloufi Karim Chabir Computer Science and Telecommunications Department Higher Institute of Applied Science and Technology Gafsa University Gafsa Tunisia Laboratory of Modeling Analysis and Control of Systems (MACS) National Engineering School of Gabes (ENIG) Gabes University Gabes Tunisia Departement of Computer Engineering College of Computer Qassim University Buraidh Saudi Ababia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

High node mobility, rapid topology changes provide specific challenges for vehicular ad hoc networks (VANETs), which have an immediate impact on the routing protocols' performance. Traditional approaches, like the Optimized Link State Routing (OLSR) protocol, provide proactive route management but fail to fully account for critical dynamic parameters like link stability, relative vehicle speed, node distance, and bandwidth availability. This work proposes a hybrid method combining OLSR with Q-learning to facilitate real-time adaptive routing. The model leverages dynamic metrics to proactively evaluate links while employing Q-learning to optimize routing decisions based on rewards computed from performance factors like delay, packet loss rate, and link duration. Simulation results demonstrate that our approach significantly outperforms classic OLSR. The improvements include reduced packet loss rates, increased average throughput, lower average latency, and a reduction in control overhead. These findings confirm that integrating dynamic metrics and adaptive learning effectively addresses the challenges posed by VANETs.

关键词： Q-learning Simulation Vehicular ad hoc networks Packet loss Routing Throughput Routing protocols Stability analysis Topology Vehicle dynamics

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Design of Nanorobots for an Early Detection of Alzhimer's Disease

Design of Nanorobots for an Early Detection of Alzhimer's Di...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Yosra Ben Fadhel Khawla Kachroudi Achraf Derbel Hedi Trabelsi Nabil Derbel University of Tunis El Manar Higher Institute of Medical Technologies Tunisia Departement of Computer Systems Eng. Mediterranean Institute of Technology South Mediterranean University Tunisia University of Sfax National Engineering School of Sfax Control & Energy Management Laboratory Tunisia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

In this study, we propose a novel nanorobot model for the early detection of Alzheimer's disease. As a first step, we explored the polymorphism of the TREM2 gene's exons to assess its association with Alzheimer's. Our case-control study involved 124 Tunisian participants-64 Alzheimer's patients and 60 age-matched controls, averaging 67 years. Each participant underwent neurological evaluation, neuropsychological testing, brain imaging, and molecular analysis. Using Polymerase Chain Reaction (PCR) and sequencing techniques, we identified the rs2234253 variant in exon 2 and a novel intronic variant in intron 4, both of which were significantly correlated with Alzheimer's risk. Based on these genetic findings, we designed a nanorobot capable of detecting early biomarkers of Alzheimer's disease, such as amyloid plaques and tau tangles. The nanorobots are approximately 100 nm in size, enabling them to navigate the blood-brain barrier and specifically target regions of the brain affected by Alzheimer's pathology. They are constructed from biocompatible materials, such as gold nanoparticles and silica, and functionalized with surface receptors that selectively bind to Alzheimer's-related biomarkers. Equipped with nanosensors, the nanorobots are designed to detect binding events and transmit data to an external monitoring system in real time, facilitating early diagnosis and continuous monitoring of disease progression. These technological advancements offer a promising approach to enhancing Alzheimer's detection and improving patient out-comes.

关键词： Pathology Sequential analysis Biomarkers Real-time systems Safety Polymers Alzheimer's disease Monitoring Silicon dioxide Testing

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WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution

arXiv

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arXiv 2025年

作者： Bongini, Pietro Mandelli, Sara Montibeller, Andrea Casu, Mirko Pontorno, Orazio Ragaglia, Claudio Vittorio Zanchetta, Luca Aquilina, Mattia Wani, Taiba Majid Guarnera, Luca Tondi, Benedetta Boato, Giulia Bestagini, Paolo Amerini, Irene De Natale, Francesco Battiato, Sebastiano Barni, Mauro University of Siena Department of Information Engineering an Mathematics Italy Politecnico di Milano Department of Electronics Informatics and Bioengineering Italy University of Trento Department of Information Engineering and Computer Science Italy University of Catania Department of Mathematics and Computer Science Italy Sapienza University of Rome Departement of Computer Control and Management Engineering Italy

Synthetic image source attribution is an open challenge, with an increasing number of image generators being released yearly. The complexity and the sheer number of available generative techniques, as well as the scarcity of high-quality open source datasets of diverse nature for this task, make training and benchmarking synthetic image source attribution models very challenging. WILD1 is a new in-the-Wild Image Linkage Dataset designed to provide a powerful training and benchmarking tool for synthetic image attribution models. The dataset is built out of a closed set of 10 popular commercial generators, which constitutes the training base of attribution models, and an open set of 10 additional generators, simulating a real-world in-the-wild scenario. Each generator is represented by 1,000 images, for a total of 10,000 images in the closed set and 10,000 images in the open set. Half of the images are post-processed with a wide range of operators. WILD allows benchmarking attribution models in a wide range of tasks, including closed and open set identification and verification, and robust attribution with respect to post-processing and adversarial attacks. Models trained on WILD are expected to benefit from the challenging scenario represented by the dataset itself. Moreover, an assessment of seven baseline methodologies on closed and open set attribution is presented, including robustness tests with respect to post-processing. Copyright © 2025, The Authors. All rights reserved.

关键词： Deep learning

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An improved MOCC with feedback control structure based on preference 09

An improved MOCC with feedback control structure based on pr...

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2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09

作者： Lihong, Xu Bingkun, Zhu Goodman, Erik D. ACM Department of Control Science and Engineering Tongji University Shanghai 200092 China Department of Control Science and Engineering Tongji University Shanghai 200092 China Departement of Electrical and Computer Engineering Michigan State University East Lansing MI 48824 United States

ISBN: (纸本)9781605583266

The optimal solution of multi-objective control problem (MOCP) isn't unique, so it is hard for traditional method to obtain these optimal solutions in one simulation process. Based on this background, Multi-Objective Compatible control (MOCC) algorithm was presented by Lihong Xu in [2]. MOCC is a compromise method, which hunts for suboptimal and feasible region as the control aim rather than precise optimal point. The controller of MOCC is optimized by GA in its interval, namely its controller lacks concrete controller structure. Due to the controller without concrete structure, the system model must be accurate and without input disturbance;however, it is impractical in practice. Besides, the control problem is different from the optimization. Different user has different preference and users' preference information plays a key role in control performance. In this paper, the feedback control law u L and users' preference information are incorporated into MOCC algorithm. An improved MOCC (IMOCC) algorithm is presented. The simulation result demonstrates its superiority and advantage over the MOCC algorithm. Copyright 2009 ACM.

关键词： controllers

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A 3D Design of Small Hybrid Farm for Microgrids

A 3D Design of Small Hybrid Farm for Microgrids

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2022 World Automation Congress, WAC 2022

作者： Tehrani, Kambiz Simde, Diane Fozing, Jourdain Jamshidi, Mo Departement of Energy and Control University of Normandy-ESIGELEIRSEEM Rouen France Department of Electrical and Computer Engineering University of Texas at San Antonio San AntonioTX United States

ISBN: (数字)9798888314449

ISBN: (纸本)9798888314449

This paper discusses a 3D design of multi-source energy system. This modeling considers several parameters that influence the energy produced such as sunlight, temperature, humidity, speed and wind direction, hub height, time and season. This technique is validated with several simulation results using a Multiphysics approach for a small hybrid farm that can be applied to microgrids. © 2022 TSI Enterprises.

关键词： 3D modeling

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A Dual Multilevel Adaptive Converter for Microgrid Applications 48

A Dual Multilevel Adaptive Converter for Microgrid Applicati...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Rasoanarivo, Ignace Tehrani, Kambiz Scalcon, Filipe Pinarello Nahid-Mobarakeh, Babak University of Lorraine Lemta Laboratory Nancy France University of Normandy-ESIGELEC-IRSEEM Departement of Energy and Control Rouen France Mc Master University Ontario Canada McMaster University Department of Electrical & Computer Engineering Ontario Canada

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This article introduces a double multilevel converter with adjustable output voltage levels for microgrid applications. These converters can be easily upgraded to lower or higher levels. This will make it possible to reduce some harmonics, also power losses and voltage stress. In this study, a multilevel inverter is powered by a multi-level DCDC boost converter. The simulation and experimental results are presented in this paper to validate the developed approaches and methodologies. © 2022 IEEE.

关键词： Insulated gate bipolar transistors (IGBT)

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Examining the Impact of Energy Management Systems on Energy Performance and Organizational Competitiveness: An Empirical Study 9

Examining the Impact of Energy Management Systems on Energy ...

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9th International Conference on engineering and Emerging Technology, ICEET 2023

作者： Ali, Ehsan Batool, Laeeqa Baig, Zaid Bin Tariq School of Economic and Management North China Electric Power University Beijing China Lahore College for Women University Department of Economics Lahore Pakistan North China Electric Power University Departement of Control and Computer Engineering Beijing China

ISBN: (纸本)9798350316926

This study examines the impact of energy management systems (EnMS) on energy performance and organizational competitiveness. Manufacturing organizations were surveyed to collect data on EnMS implementation, energy consumption, and energy costs. The results of the study show that organizations with EnMS have lower energy consumption and costs than organizations without EnMS. The study also found that EnMS can improve organizational competitiveness by increasing productivity, reducing costs, and improving environmental performance. The findings of this study suggest that EnMS can be a valuable tool for organizations that are looking to improve their energy performance and competitiveness. The study also provides practical recommendations for organizations that are considering implementing an EnMS. © 2023 IEEE.

关键词： Energy utilization

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Logic based switching H2/H∞ controller design: An intelligent supervisor approach

Logic based switching H2/H∞ controller design: An intellige...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Fakharian, A. Jamshidi, F. Hamidi Beheshti, M.T. Departement of Computer and Electrical Engineering Islamic Azad University Qazvin Branch Qazvin Iran Control and Communication Lab. School of Technology Tarbiat Modares University P. O. Box 14115-143 Tehran Iran

ISBN: (纸本)9781424451951

In this article, synthesis of switching H2/H∞ controller is considered which results in the minimum bounds on H2 and H∞ performance levels. The fuzzy supervisor manages the controllers and results in the structure that benefits from the advantages of them. The suggested structure guarantees the desired performance in transient and steady state modes and is solvable through linear matrix inequalities approach. By means of multi-Lyapunov functions the stability has been approved and despite the structure changing, the system remains global stable. The suggested intelligent synthesis is less complicated in comparison with common approaches based on common Lyapunov function due to using separate controllers and eliminating the constraint of common Lyapunov function. The results of those methods of H2/H∞ control can simply be calculated from the suggested approach. © 2010 IEEE.

关键词： controllers

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3D path planning of quadrotor aerial robots using numerical optimization

3D path planning of quadrotor aerial robots using numerical ...

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Chinese control Conference (CCC)

作者： Yatong An Shichun Wang Chao Xu Lei Xie Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China Departement of Computer Engineering Taizhou Vocational & Technical College 317000 China

Quadrotor is a nonlinear, multi-variable, highly coupled and under-actuated system. Based on the self-assemble quadrotor, we propose a novel three dimension path planning algorithm. Using the hierarchy control method, we first map the state space to the augment inputs, and then map the actual inputs to the augmented inputs, so that the path planning problem can be simplified and the algorithm can be more efficient. The path planning algorithm is based on the optimal control theory, taking the obstacle avoidance, energy cost and time into consideration. Due to its use of nonlinear programming techniques, effective initial guesses and fast numerical optimization techniques, this algorithm if efficient enough to be used in real time. We demonstrate the efficiency of this algorithm via numerical simulation results.

关键词： Path planning Electronic mail Optimization Robots Educational institutions Optimal control Heuristic algorithms

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