Cross-view matching refers to the use of images from different platforms (e.g. drone and satellite views) retrieve most relevant images, where key is that viewpoints spatial resolution. However, existing methods focus on extracting fine-grained features ignore connection contextual information in image. Therefore, we propose a novel ConvNeXt-based multi-level representation learning model for solution this task. First, extract global through ConvNeXt model. In order obtain joint part-based...

The traditional particle swarm optimization (PSO) path planning algorithm represents each as a and evolves the particles to find an optimal path. However, there are problems in premature convergence, poor global search ability, ease which fall into local optimum, could lead failure of fast obtainment. In order solve these problems, this paper proposes improved PSO combined gray wolf (IPSO-GWO) with chaos new adaptive inertial weight. optimizer can sort during evolution fitness value, other...

In mobile crowdsensing activities, it is usually necessary for participants to upload sensing data and related locations. The existing location privacy-preserving mechanisms cannot well protect a user's trajectory privacy because attackers can mine the features through analysis techniques. Aiming at protection problem, this article proposes differential mechanism based on obfuscation (LPMT). LPMT first extracts stay points as of sliding window algorithm, then obfuscates each point target...

Convolutional neural networks (CNNs) and self-attention (SA) have demonstrated remarkable success in low-level vision tasks, such as image super-resolution, deraining, dehazing. The former excels acquiring local connections with translation equivariance, while the latter is better at capturing long-range dependencies. However, both CNNs Transformers suffer from individual limitations, limited receptive field weak diversity representation of during low efficiency relation learning SA. To this...

Software Defined Networking (SDN) provides flexible network management by decoupling control plane and data plane. However, such separation introduces the issues regarding reliability of controller load imbalance in distributed SDN network, which will cause low stability poor performance. This paper proposes Reliable Load balance-aware Multi-controller Deployment (RLMD) strategy to address above problems. Firstly, we establish a multiple-controller model define relevant parameters for RLMD....

Planning ideal transit routes in the complex urban environment can improve performance and efficiency of public transportation systems effectively. However, finding such is computationally difficult due to huge solution space constituted by billions possible routes. Considering limited scalability exact search methods, heuristic methods were proposed boost incorporate flexible constraints. Nevertheless, existing conceal multiple criteria an objective, thus evaluating generated route becomes...

Wheeled mobile robots are widely used for their excellent mobility and high maneuverability. The intelligentization of to perform autonomous movement is one the favorite topics in robotic field. This paper proposes a new intelligent path-following scheme robots. A secure path designed by chaotic systems an unknown switching mechanism. proposed controller constructed type-3 (T3) fuzzy logic (FLSs) predictive compensator. T3-FLSs taught obtain good accuracy. In addition, stability...

Deterministic Networking (DetNet) is a highly predictable and controllable network technology. It provides low packet loss rate bounded latency data transmission for applications through resource reservation scheduling mechanisms. However, DetNet hybrid traffic system, the mechanism cannot guarantee deterministic requirements as number of diverse increases. As result, there an urgent need efficient fine-grained to meet requirements. In this paper, we propose novel end-to-end multi-policy...

In this paper, we study the dynamic node activation schedule for utility based coverage problem in solar-powered wireless sensor networks. We assume that achieved by a WSN service is sub modular function over set of sensors will provide service. first present an integer programming formulation with objective functions. then efficient simple greedy hill-climbing algorithm such average computed at least $1/2$ times optimal schedule. To best our knowledge, polynomial time can ensure good...

Energy-harvested wireless sensor networks may operate perpetually with extra energy supply from natural such as solar energy. Nevertheless, harvested is often too limited to support perpetual network operation full duty cycle. To achieve and process the data high importance, measured by value of information (VoI), nodes have under partial cycle improve efficiency A challenging problem how deal stochastic feature variable VoI. We consider consumption during storage diversity including...

Software defined networking (SDN) realizes the full decoupling between control plane and data plane, it could effectively simplify network management promote innovation. In large SDN network, there are single point of failure lack resources for one centralized controller, so several researchers have presented deploying multi-controller to improve reliability scalability network. However, unreasonable deployment multiple controllers may cause unbalanced distribution controller loads, is...

Multi-controller is a promising control plane solution for the large-scale Software-Defined Networks (SDN). Some existing works (e.g., OpenFlow 1.2) propose to use backup controllers named slave achieve fault- tolerance in plane. In this paper, we identify unreasonable controller assignment could cause chain failure and eventually crash entire network. We consider some important factors designing fault-tolerant formulating Slave Controller Assignment (SCA) problem. SCA an NP-complete...

The emerging deployment of large-scale cloud applications incurs significant inter-datacenter traffic, which makes the scarce wide-area bandwidth across data centers become performance bottleneck. To achieve desirable network performance, guarantee should be provided for resulting traffic. However, existing allocation methods mainly focus on intra-datacenter and cannot cost-minimizing In this paper, we problem traffic present a novel model. Our model can ensure guarantee, minimize cost,...

In order to realize the optimization of autonomous navigation mobile robot under condition partial environmental knowledge known. An improved Q-learning reinforcement learning algorithm based on prior is proposed solve problem slow convergence and low efficiency in path planning. Prior used initialize Q-value, so as guide agent move toward target direction with a greater probability from early stage algorithm, eliminating large number invalid iterations. The greedy factor ε dynamically...

Brain-computer interface (BCI) is a communication system that can help lock-in patients to interact with the outside environment by translating brain signals into machine commands. The present work provides design for virtual reality (VR) based BCI allows human participants control hand make gestures P300 signals, positive peak of potential about 300 ms posterior onset target stimulus. In this environment, obtain more immersed experience system, such as controlling or walking around in...

Public Bike Systems (PBSs) offer convenient and green travel service become popular around the world. In many cities, local governments build thousands of fixed stations for PBS to alleviate city traffic jam solve last-mile problem. However, increasing use PBSs leads new congestion problems in form that users have, such as no bike rent or dock return bike. Further, wish receive assistance on deciding how select trips with minimal time cost while taking into account. Meanwhile, crowdsourcing...

Software Defined Networking (SDN) provides flexible network management by decoupling control plane from data plane. And multiple controllers are deployed to improve the scalability and reliability of plane, which could divide into several subdomains with separate controllers. However, such deployment introduces a new problem controller load imbalance due dynamic traffic static configuration between switches To address this issue, paper proposes Distribution Decision Mechanism (DDM) based on...

The selfishness and randomness of users in the mobile crowd sensing network could cause them unwilling to participate activities lead lower completion rates tasks. In order deal with these problems, this paper proposes a novel incentive mechanism based on new auction model for sensing, which consists two consecutive stages. first stage, Incentive Method Reverse Auction Location-aware (IMRAL) is proposed maximize user utility. By introducing task-centric method determine winning bids, it can...

Abstract Energy constraint is the most conspicuous characteristic in wireless sensor networks (WSN). Node deployment, dynamic topology control, and data transmission WSN all consume a large amount of energy. Therefore, proper adjustment power (TP) contributes much energy saving. In this paper, new TP method based on Fuzzy Control Theory, called FCTP, proposed for control. The simulation results show that more robust to tolerate accidental interfere, rapidly convergent, efficient than other...