A slicing-based collaborative task offloading framework for space-air-ground integrated vehicular networks is proposed in this study, which can provide differentiated quality-of-service (QoS) guarantees high-speed vehicles while maximizing the number of completed tasks. service-oriented radio access network (RAN) slicing presented that supports window adaptation, spectrum and computing resource orchestration, collaboration among heterogeneous base stations. Based on queuing model,...

Clustering organizes nodes into groups in order to enhance the connectivity and stability of cognitive radio sensor networks. Mainly depending on channel availability, many existing spectrum-aware clustering algorithms may not achieve most satisfactory clustering. Taking account various influence factors establish optimal is a challenge network performance. This paper proposes novel algorithm based weighted metric obtain by solving an optimization model. The new metric, simultaneously...

A fractional order moments-based detector is proposed for the detection of weak signals in additive impulsive noise environment assumed as generalized Gaussian distribution with properly selected parameter values. The asymptotic performance derived and compared some traditional detectors optimized operations Nakagami fading communication channels. analytical computer simulation results moment-based are shown signal channels noise.

Abstract Microbial oils produced by Yarrowia lipolytica offer an environmentally friendly and sustainable alternative to petroleum as well traditional lipids from animals plants. The accurate measurement of fermentation parameters, including the substrate concentration, dry cell weight, lipid accumulation, is foundation process control, which indispensable for industrial production. However, it remains a great challenge measure complex parameters online during process, nonlinear,...

Abstract The qualities of superconducting conductors are usually characterized by their critical current and n-value. In this paper, the n-value second-generation (2G) high temperature (HTS) considering temperature-field dependence predicted a back propagation (BP) neural network as J c ( B, θ, T ) n B,θ,T ). A correlation exists between n-value, thus in our BP network, tasks estimating can be carried out one network. outputs used to predict share same hidden layers therefore calculated...

The drone-small-cell-assisted air-ground integrated network is a promising architecture for enabling diverse vehicle applications. This paper presents joint resource slicing and association framework drone-assisted vehicular networks, which facilitates spectrum sharing among heterogeneous base stations (BSs) achieves dynamic provisioning in the presence of load dynamics. We formulate utility maximization problem as mixed-integer nonlinear programming, considering traffic statistics,...

Abstract We propose an altitude‐adaptive vehicle counting method with attention mechanism and multiscale receptive fields that optimizes the measurement accuracy inference latency of unmanned aerial (UAV) images. An is used to aggregate horizontal vertical feature weights enhance spatial information suppress background noise. The UAV flight altitude shooting depression angle are considered for scale division image segmentation avoid acquiring distance measurements. Based on dilation rate, we...

With the further development of oilfield, liquid-gas separation has become an essential problem. Cylindrical cyclone separators are popular in industrial process due to advantage that they simple, compact, and inexpensive manufacture. In this paper, a three-dimensional turbulence model including Reynolds stress was established describe mixture flow field separator. Through numerical simulation, efficiency investigated under different parameter cases such as separator length, gas phase outlet...

Wireless Sensor Network is becoming increasingly important in applications such as environmental monitoring and traffic control. They collect a large amount of sensor data, e.g., temperature pressure. Nearby nodes an feature typically measure correlated values. In this paper, we propose new Location-Aware-Based Data Clustering (LABDC) algorithm to analyze the spatial correlation data.. LABDC lossy mechanism that reduces number transmissions provides approximate query results users. Without...

Abstract A joint resource‐optimization scheme is investigated for nonorthogonal multiple access (NOMA)‐enhanced scalable video coding (SVC) multicast in unmanned aerial vehicle (UAV)‐assisted radio‐access networks (RANs). This allows a ground base station and UAVs to simultaneously successive layers SVC with interference cancellation NOMA. quality‐maximization problem formulated as mixed‐integer nonlinear programming determine the UAV deployment association, RAN spectrum allocation groups,...

Aiming to minimize the operators' cost while preserving user experience, we propose a resource scheduling mechanism for cooperative cloudlets in edge computing with centralized controller. The interactions between and controller are formulated as two-stage Stackelberg game determine amount of physical resources assigned each cloudlet during deployment phase price shared among cooperated operation phase.

基于冗余字典的信号稀疏表示是一种新的信号表示理论，当前的理论研究主要集中在字典构造算法和稀疏分解算法两方面。该文提出一种新的基于自适应冗余字典的语音信号稀疏表示算法，该算法针对自相关函数为指数衰减的平稳信号，从K-L展开出发，建立了匹配信号结构的冗余字典，进而提出一种高效的基于非线性逼近的信号稀疏表示算法。实验结果表明冗余字典中原子的自适应性和代数结构使短时平稳语音信号稀疏表示具有较高的稀疏度和较好的重构精度，并使稀疏表示算法较好地应用于语音压缩感知理论。

Target localization is one of the essential tasks in applications wireless sensor networks (WSNs). The traditional target based on received signal strength may fail to obtain satisfactory performance, especially when number RSS measurements limited. Compressed sensing (CS) has been shown be an effective technique for due intrinsic sparse nature WSNs. CS-based can formulated a recovery problem l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Compressed sensing based in-network compression methods to minimize the data redundancy are critical cognitive video sensor networks (CVSNs). However, most existing require a large number of sensors for each measurement, resulting in significant performance degradation energy efficiency and quality-of-service (QoS) satisfaction. CDCS, cluster-based distributed compressed approach QoS routing is proposed efficiently deliver visual information CVSNs. To begin with, correlation among adjacent...

An approach of scaling and shifting constellation for MIMO lattice reduction(LR)‐aided precoding is proposed. The proposed scheme beneficial to improve the performance in terms both BER ergodic capacity. feedback a Gaussian integer matrix which entries are preserved region with respect modulo operation. Then, amount information reduced significantly. Simulation results show that LR‐aided using improved version apparently improves system performance.

As an extension of remote cloud data centers, cloudlets process the workloads from mobile users at network edge, thereby satisfying requirements resource-intensive and latency-sensitive applications. One fundamental yet important issues for cloudlet infrastructure providers (ISP) is how to plan placement capacities so that minimize their long-term cost with a guarantee on service delay. However, existing work mostly focuses resource provision or management services cloudlets, while very...