Rechargeable aqueous zinc-ion batteries (ZIBs) have attracted extensive attention due to their low cost and high safety. However, the critical issues of dendrite growth side reactions on Zn metal anode hinder commercialization ZIBs. Herein, we demonstrated that formation Zn4SO4(OH)6·5H2O byproducts is closely relevant direct contact between electrode SO42-/H2O. On basis this finding, developed a cation-exchange membrane perfluorosulfonic acid (PFSA) coated surface regulate plating/stripping...

The continuous expanded scale of the industrial Internet Things (IIoT) leads to IIoT equipments generating massive amounts user data every moment. According different requirement end users, these usually have high heterogeneity and privacy, while most users are reluctant expose them public view. How manage time series in an efficient safe way field is still open issue, such that it has attracted extensive attention from academia industry. As a new machine learning paradigm, federated (FL)...

AI-enabled Beyond 5G (B5G) and 6G technologies are promising candidates to support the future generation Space- Air-Ground Integrated Networks (SAGINs). The highly dynamic heterogeneity time variability, however, complicate management optimization efforts. Hence, based on softwaredefined networking (SDN) technology, in proposed hierarchical hybrid deep reinforcement learning (HHDRL) method, we demonstrate how one can combine both distributed central architectures, by deploying local...

With the development of maritime continuing to grow, large-scale wireless devices (MWDs) are being deployed for various applications. The rapid Internet Things (IoT) and growing demand these applications have led an increasing number computation-intensive resource-sensitive tasks. Considering limited computing capacity energy MWDs, it is challenging transmit process massive tasks in efficient manner. In this paper, we propose a three-tier edge system which low earth orbit (LEO) satellite...

Network virtualization can offer more flexibility and better maintainability for the current Internet through allowing multiple heterogeneous virtual networks (VNs) to share network resource of a common infrastructure provider. The main challenge in this respect is efficient embedding nodes links from VN requests onto limited substrate resources. notion storage exchange bandwidth some extent gives us hint that utilization relieve consumption. existing model does not consider constraints on...

Network traffic classification has become an important part of network management, which is beneficial for achieving intelligent operation and maintenance, enhancing the quality service (QoS), security. Given rapid development various applications protocols, more encrypted emerged in networks. Traditional methods exhibited unsatisfied performance since no longer plain text. In this work, we modeled time-series by recurrent neural (RNN). Moreover, attention mechanism was introduced assisting...

With rapid development of compelling application scenarios the Internet Things (IoT), such as smart cities, it becomes substantially important to strengthen management data traffic in IoT networks. Traffic classification is beneficial terms both ensuring network security and improving quality service. Traditional methods separate algorithm design feature engineering, which includes extraction selection. Then, identification or performed by combining both. This paper proposes an end-to-end...

Intrusion detection technology has received increasing attention in recent years. Many researchers have proposed various intrusion systems using machine learning (ML) methods. However, there are two noteworthy factors affecting the robustness of model. One is severe imbalance network traffic different categories and other nonidentical distribution between training set test feature space. This paper presents a multilevel model framework named semi-supervised ML (MSML) to address these issues....

The issue of virtual network (VN) embedding constitutes an important aspect virtualization, which is considered to be one the most crucial techniques overcome Internet ossification problem. main purpose VN efficiently utilize limited physical resources offer supporting nodes and links from VNs. Due fact that problem proved NP-hard, previous works have put forward some heuristic algorithms solve this However, existing research only consider local nodes, ignoring topological attributes its...

The past few years have witnessed a wide deployment of software defined networks facilitating separation the control plane from forwarding plane. However, work on largely relies manual process in configuring strategies. To address this issue, paper presents NetworkAI, an intelligent architecture for self-learning strategies networking networks. NetworkAI employs deep reinforcement learning and incorporates network monitoring technologies, such as in-band telemetry to dynamically generate...

The design of an intrusion detection system (IDS) plays a critical role in guaranteeing the security Industrial Internet Things (IIoT). Recently, rapid development edge-based IIoT has posed new challenges beneficial IDS considering its billions devices and substantially decentralized data interaction. Both method architecture become key components constructing efficient for IIoT. In this article, we survey typical state-of-theart studies about methods structure IDS. Moreover, propose hybrid...

Traditional ground wireless communication networks cannot provide high-quality services for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due to deployment, coverage and capacity issues. The space-air-ground integrated network (SAGIN) has become a research focus in the industry. Compared with traditional networks, SAGIN is more flexible reliable, it wider higher quality of seamless connection. However, its inherent heterogeneity, time-varying...

As an influential technology of swarm evolutionary computing (SEC), the particle optimization (PSO) algorithm has attracted extensive attention from all walks life. However, how to rationally and effectively utilize population resources equilibrate exploration utilization is still a key dispute be resolved. In this paper, we propose novel PSO called Chaos Adaptive Particle Swarm Optimization (CAPSO), which adaptively adjust inertia weight parameter <inline-formula> <tex-math...

Although modern Maritime Transportation Systems (MTS) have been extensively benefited from Internet of Things (IoT) technology, but still the risks and challenges in safety reliability increased substantially. The involvement different maritime parties marine transportation flow scheduling management further escalates these challenges. Thus, we need an IoT-based collaborative processing system that unifies modular structure integrates multiple modules involved MTS. Moreover, for a shared...

Future communication networksrequire higher bandwidth, greater coverage, and better throughput. The Space-Air-Ground Integrated Network (SAGIN) has the advantage of wide-area coverage can cover global communications. It meet needs network resources for maritime activities remote mountainous areas, which is great significance to realization a new generation communications networks. With development emergence delay-sensitive applications such as Internet Things, improving delay performance...

In recent years, hyperspectral image classification techniques have attracted a lot of attention from many scholars because they can be used to model the development different cities and provide reference for urban planning construction. However, due difficulty in obtaining images, only limited number pixels as training samples. Therefore, how adequately extract utilize spatial spectral information images with samples has become difficult problem. To address this issue, we propose method...

With the rapid development of 5G and 6G communications in recent years, there has been significant interest space–air–ground integrated networks (SAGINs), which aim to achieve seamless all-area, all-time coverage. As a key component SAGINs, flying ad hoc (FANETs) have widely used agriculture transportation sectors years. Reliable communication SAGINs requires efficient routing algorithms support them. In this study, we analyze unique architecture FANETs SAGINs. At same time, existing...

Malignant melanoma, as a highly aggressive skin cancer, is strongly associated with mutations in serine/threonine protein kinase B-RAF (BRAF, where RAF stands for rapidly accelerated fibrosarcoma). Targeted therapy anti-BRAF small interfering RNA (siBRAF) represents crucial aspect of metastatic melanoma treatment. In this study, an injectable hydrogel platform based on sodium alginate (SA), multifunctions photothermal and Ca2+-overload cell apoptosis, was explored siBRAF carrier therapy. We...

With the maturity of 5G and Intelligent Transportation Systems (ITS) technologies prospect Beyond (B5G) 6G technologies, limited lifetime computing mobile devices pose significant challenges to Quality Service (QoS). In addition, problem inefficient use computing, storage, communication, other resources still exists in communication systems. response above issues, Multi-tier Computing Networks (MTCNs) migrate computationally intensive tasks cloud, fog, or edge with sufficient resources,...

Metal–organic frameworks (MOFs) are hybrid inorganic–organic materials that can be used as effective precursors to prepare various functional nanomaterials for energy-related applications. Nevertheless, most MOF-derived metal oxides exhibit low electrical conductivity and mechanical strain. These characteristics limit their electrochemical performance hamper practical application. Herein, we report a rational strategy enhancing the lithium storage of oxide. The hierarchically porous...

Virtual network embedding (VNE) algorithm is always the key problem in virtualization (NV) technology. At present, research this field still has following problems. The traditional way to solve VNE use heuristic algorithm. However, method relies on manual rules, which does not accord with actual situation of VNE. In addition, as intelligent learning become a trend, gradually outdated. same time, there are some security problems no For reason, paper proposes security-aware based reinforcement...