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Design and analysis of intelligent service chain system for network security resource pool
Published 2022-08-01“…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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Carbon Dot Functionalized Papers for the Selective Detection of 2,4,6-Trinitrophenol in Aqueous Solutions
Published 2021-01-01“…Importantly, carbon dots functionalized papers (CDFPs) were prepared using the synthesized CDs and successfully applied to the determination of TNP in aqueous solutions, demonstrating the promising application of the method.…”
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Invertebrate community responses to biochar addition in NTFP-enriched Amazonian secondary forests
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Research on site selection and capacity determination problem based on improved particle swarm algorithm
Published 2025-07-01Get full text
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Fermented, Freeze-Dried Snacks from <i>Lactarius deliciosus</i> as a Source of Functional Compounds and Lactic Acid Bacteria
Published 2025-03-01“…After 6 months of storage, mushroom products were a good source of functional compounds, especially LAB, minerals, indoles, lovastatin, antioxidants (phenolic compounds), and dietary fibre. …”
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Acoustic modelling of surface sources. Part II. Piston model, asymmetrical function of vibration velocity, discretizing error, axisymmetrical problem
Published 2014-01-01“…Then the model of the source consists of an array of driving pistons. In order to select the optimal position of the boundary between the pistons, the measure of the divergence/convergence between directivity function of the model and exact was analysed. …”
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Research Progress on Dual Function Radar and Communication Signal Design and its Application in Typical Detection Scenarios
Published 2025-08-01“…Dual Function Radar and Communication (DFRC)-integrated electronic equipment platform, which combines detection and communication functions, effectively addresses issues such as platform limitations, resource constraints, and electromagnetic compatibility by sharing hardware platforms and transmitting waveforms. …”
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Functionality and translation fidelity characterization of mRNA vaccines using platform based mass spectrometry detection
Published 2025-02-01“…Abstract The success of mRNA-based therapeutics and vaccines is attributed to their rapid development, adaptability, and scalable production. …”
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Germ Cell Dysfunction is Universal in Adolescent Male Patients with β-thalassemia Following Earlier Successful Hematopoietic Stem Cell Transplantation
Published 2025-06-01“…Objective: To assess gonadal function in adolescent male patients with β-thalassemia who underwent earlier successful hematopoietic stem cell transplantation (HSCT). …”
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IgG detection in human serum employing non-functionalized chromium doped zinc gallate nanoparticles
Published 2025-01-01“…Based on these results, these non-functionalized nanoparticles were successfully used to develop a persistent luminescence-based sandwich immunoassay for autofluorescence-free detection of antigens in undiluted human serum samples, using rabbit IgG as a model antigen. …”
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Integrating individual tracking data and spatial surveys to improve estimation of animal spatial distribution
Published 2025-05-01“…Here, we showcased how to combine individual tracking and count data to estimate habitat selection at the population level. We developed an integrated model that provides a joint estimation of habitat selection for tracking data fitted with a resource selection function (RSF) and count data fitted with a Poisson generalized linear model (GLM), both respecting the statistical conditions for converging with an inhomogeneous Poisson point process. …”
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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images
Published 2024-11-01“…Moreover, existing object detection algorithms have a large number of parameters, posing a challenge for deployment on drones with limited hardware resources. …”
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Hybrid Islanding Detection of an Inverter-Based High-Noise Microgrid
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Robotic arm target detection algorithm combined with deep learning
Published 2024-12-01“…Existing target detection algorithms deployed on robotic arms would occupy a large amount of system resources, have poor real-time detection performance, and have a large number of model parameters. …”
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