The paper addresses the challenges and implications of (lacking) synchronization between agents in real-time multi-agent simulation systems. Based on two specific manifestations of mis-synchronization in 2D Socce...
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In recent years, a variety of new frameworks streamlining the process of agent-based modeling has emerged. These frameworks serve different purposes and each offers a unique set of features. In this practical comparat...
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We present a continuous integration and deployment (CI/CD) framework for Soccer Simulation 2D. On the one hand, we aim to share that system publicly with the community and, therefore, describe its components and ...
In this research, we explored methods for creating practical exams in the field of information security. Given the specialized knowledge required in this domain, a ready and tailored environment is necessary for hands...
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The rapid evolution of network services, driven by innovations like virtualization and edge computing, has transformed the way modern applications are deployed and managed. Service Function Chains (SFC) formed by putt...
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The rapid evolution of network services, driven by innovations like virtualization and edge computing, has transformed the way modern applications are deployed and managed. Service Function Chains (SFC) formed by putting Virtual Network Functions (VNFs) in a particular order enable flexible and scalable network solutions. However, their virtualized nature introduces new challenges, including their availability and sustainability. Their joint balancing in SFCs deployment is crucial to meet the stringent requirements of next-generation networks. This study presents a novel approach for availability and sustainability-aware SFCs allocation and embedding in the edge-cloud continuum. It introduces embedding policies tailored to prioritize availability, reduce carbon footprint, or achieve a tradeoff between the two. Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are employed to optimize VNF redundancy strategies. Simulation results demonstrate the effectiveness of the proposed methods, achieving robust fault tolerance while minimizing carbon footprint. The tradeoff-aware policy and PSO based redundancy strategy achieves 95.88% availability while cutting the carbon footprint by 37.6%.
This work is generally situated within a major geotechnical project aimed to delineat high-risk landslide zones in the Middle Rif region of Morocco, particularly between AlJebha and Al Hoceima. it aims to provide desi...
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The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** i...
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The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.
Preservation of the crops depends on early and accurate detection of pests on crops as they cause several diseases decreasing crop production and quality. Several deep-learning techniques have been applied to overcome...
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Preservation of the crops depends on early and accurate detection of pests on crops as they cause several diseases decreasing crop production and quality. Several deep-learning techniques have been applied to overcome the issue of pest detection on crops. We have developed the YOLOCSP-PEST model for Pest localization and classification. With the Cross Stage Partial Network (CSPNET) backbone, the proposed model is a modified version of You Only Look Once Version 7 (YOLOv7) that is intended primarily for pest localization and classification. Our proposed model gives exceptionally good results under conditions that are very challenging for any other comparable models especially conditions where we have issues with the luminance and the orientation of the images. It helps farmers working out on their crops in distant areas to determine any infestation quickly and accurately on their crops which helps in the quality and quantity of the production yield. The model has been trained and tested on 2 datasets namely the IP102 data set and a local crop data set on both of which it has shown exceptional results. It gave us a mean average precision (mAP) of 88.40% along with a precision of 85.55% and a recall of 84.25% on the IP102 dataset meanwhile giving a mAP of 97.18% on the local data set along with a recall of 94.88% and a precision of 97.50%. These findings demonstrate that the proposed model is very effective in detecting real-life scenarios and can help in the production of crops improving the yield quality and quantity at the same time.
The practical development of compact modern nanophotonic devices relies on the availability of fast and low-cost fabrication techniques applicable to a wide variety of materials and *** have engraved a split grating g...
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The practical development of compact modern nanophotonic devices relies on the availability of fast and low-cost fabrication techniques applicable to a wide variety of materials and *** have engraved a split grating geometry on stainless steel using femtosecond laser *** structure serves as a template to fabricate efficient plasmonic sensors,where a thick gold layer is grown conformally on *** scanning electron microscope(SEM)images confirm the generation of the split laser-induced periodic spatial *** optical reflectance of our sensors shows two dips corresponding to the excitation of surface plasmon resonances(SPRs)at two different ***,the asymmetric shape of these spectral responses reveals a strong and narrow Fano *** computational electromagnetism models accurately reproduce the reflectivity of the fabricated *** spectral responses of both the simulated and fabricated structures are fitted to the Fano model that coherently combines the narrow SPRs with the broad continuum background caused by *** parameters extracted from the fitting,such as the resonance wavelengths and line widths,are used to evaluate the performance of our device as a refractometric sensor for *** maximum sensitivity and figure of merit are 880 nm/RIU and 80 RIU-1,*** the compact design of our sensing device,its performance exceeds the theoretical maximum sensitivity of a classical Kretschmann setup.
The current paper formally investigates the propagation of specific waves modeled by a resonant nonlinear Schrödinger equation (RNLSE). In particular, in-depth research is conducted on the RNLSE, which involves v...
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