Facial expression recognition (FER) in uncontrolled environment is challenging due to various un-constrained conditions. Although existing deep learning-based FER approaches have been quite promising recognizing frontal faces, they still struggle accurately identify the facial expressions on faces that are partly occluded unconstrained scenarios. To mitigate this issue, we propose a transformer-based method (TFE) capable of adaptatively focusing most important and unoccluded regions. TFE...

Aiming at the problem of insufficient details retinal blood vessel segmentation in current research methods, this paper proposes a multiscale feature fusion residual network based on dual attention. Specifically, module with adaptive calibration weight features is designed, which avoids gradient dispersion and degradation while effectively extracting image details. The SA ECA are used many times backbone extraction to adaptively select focus position generate more discriminative...

Mobile Edge Computing (MEC) is proposed to solve the needs of Internet Things (IoT) users for high resource utilization, reliability and low latency service requests. However, backup virtual machine idle when its primary running normally, which will waste resources. Overbooking under above circumstances can effectively improve utilization. First, these machines are deployed into slots randomly, then some tasks with cooperative relationship offloaded processing. Different deployment locations...

Consistency checking, as a key and challenging problem in the research of three-dimensional spatial direction relation reasoning, has attracted increasing attention exploration from researchers. It is widely used 3D configuration anomaly detection urban planning. To enrich enhance ability existing models for reasoning predicting with cardinal relations, projection method each axis based on model (3DR27) proposed.This paper divides consistency checking networks into two processes. Firstly,...

Considering limited pilot and storage resources in satellite communications, we propose an efficient correlation-based reception scheme consisting of a “parallel” frequency-phase estimation (PFPE) mode data blockwise compensation (DBC) scheme. In specific, the PFPE provides autocorrelation (AC) frequency offset estimator maximum-likelihood (ML) phase using special but heuristic AC value; DBC uses small amount cross-correlation (CC) based values to eliminate impact residual offsets on each...

Abstract In order to improve the ability of intelligent reasoning and prediction 3DR27 model which presented in our previous work, enhance usabilit y model, better fulfill demands real applications for complex 3D spatial database, we focused on problem inversing cardinal direction relations between objects. realize automated reasoning, an algorithm computing inverse based matrices is proposed basis mapping rectangular interval relation matrix. This improves power this by means excellent...

Aims: A Comprehensive Model Incorporating Multiple Spatial Relations in 3D Space. Background: At present, the research on two-dimensional spatial relation expression and inference models is relatively mature, but these cannot be used to deal with three-dimensional orientation relations. With application of relations, threedimensional relations are involved many fields such as urban architectural design, robotics, image processing, etc. Two-dimensional satisfy needs applications, so there an...

With the rapid development of network, P2P technology is widely used in Internet, application facing trust threat network. This paper first describes problem, then proposes a game model based on an unknown node type, and modeling conditions process detail. Use simulation tool Gambit to verify feasibility proposed model, established can induce nodes network consciously joined which reduce possibility malicious attacking behavior that take, greatly ensure interests users are not infringed,...

In order to improve the navigation accuracy of an underwater vehicle, a terrain passive integrated system, which consists strapdown inertial map, bathometer, magnetic compass and doppler log is presented. position difference match are as measurement equation, adding velocity measure equation course equation. And parameters estimated using Kalman filter, eliminating error system. The simulation results prove that number device constant, can reduce attitude angle location vehicle effectively,...

Abstract The energy consumption of traditional mobile network is mainly reflected by task calculation and data transmission. edge server in computing placed at the closer to terminal device. When resources device are insufficient, can be offloaded for processing. This paper discusses optimization Mobile Edge Computing (MEC) system, which composed devices network. Firstly, system model MEC elaborated. Secondly, base stations studied. Which oriented divided into multiple users - single...

Abstract The problem of pole configuration via periodic output feedback for linear discrete systems with time‐varying dimensions states and input spaces is addressed. By some mathematical derivation, the considered can be reduced into solving a special Sylvester matrix equation from which gains separated computed explicitly. Based on this, detail parametric algorithm presented, by countless generated choosing different free parameter matrices. Furthermore, proposed approach used to achieve...

Considering limited pilot overhead and large delay Doppler shift in LoRa (Long Range)-based IoT (Internet of Things) systems, this paper presents an efficient joint parameter estimation soft nonconherent detection scheme. During the estimation, a method is proposed, which called JDDSE method. Different from existing methods, proposed utilizes time-domain characteristic signal only needs to estimate offset instead their respective offsets. Then, noncoherent developed work order match...