Technological evolutions in the automobile industry, especially development of connected and autonomous vehicles, have granted vehicles more computing, storage, sensing resources. The necessity efficient utilization these resources leads to vision vehicular cloud computing (VCC), which can offload tasks from edge or remote enhance overall efficiency. In this paper, we study problem computation offloading through (VC), where missions be offloaded executed cooperatively by VC. Specifically,...

Memristors can be used to mimic synaptic behavior in artificial neural networks, which makes them a key component neuromorphic computing and holds promise for advancing the field. In this study, memory device based on ZnO-BaTiO

Unmanned aerial vehicle (UAV)-assisted communication is envisioned as a potential solution to the data traffic explosion in massive machine-type communications (mMTC) scenario. In this article, we investigate UAV-assisted cellular networks, where UAV acts flying relay offload part of from overloaded cell another. We utilize practical spatial distribution and convincing air-to-ground channel model. The quality service (QoS) defined utility function which designed based on packet loss ratio...

Wireless sensor networks (WSNs) have become an increasingly compelling platform for Structural Health Monitoring (SHM) applications, since they can be installed relatively inexpensively onto existing infrastructure. Existing approaches to SHM in WSNs typically address computing system issues or structural engineering techniques, but not both conjunction. In this paper, we propose a holistic approach that integrates decentralized architecture with the Damage Localization Assurance Criterion...

The implementationof computation offloading is a challenging issue in the remote areas where traditional edge infrastructures are sparsely deployed. In this study, authors propose unmanned aerial vehicle (UAV)-enabled computing framework, group of UAVs fly around to provide near-users service. They study migration problem for complex missions, which can be decomposed as some typical task-flows considering inter-dependency tasks. Each time task appears, it should allocated proper UAV...

By employing the exponentially increasing communication and computing capabilities of vehicles brought by development connected autonomous vehicles, vehicular cloud (VCC) can improve overall computational efficiency offloading tasks from edge or remote cloud. In this paper, we study computation migration problem in VCC, where a vehicle transfers unfinished missions to other before leaving network avoid mission failures. Specifically, consider offloaded The has linear logical topology, i.e.,...

The ever-increasing demand for multimedia contents has imposed severe traffic overload pressure on mobile network operators (MNOs). Cooperative data offloading is a promising approach to alleviate the congestion, which leverages device-to-device (D2D) communications among users. However, users may not be obligated participate in cooperative offloading, since it will involve additional costs such as storage, bandwidth and battery energy. In this paper, we propose centralized caching-based...

Abstract Distributed caching‐empowered wireless networks can greatly improve the efficiency of data storage and transmission thereby users' quality experience (QoE). However, how this technology alleviate network access pressure while ensuring consistency content delivery is still an open question, especially in case where users are fast motion. Therefore, paper, we investigate caching issue emerging from a forthcoming scenario vehicular video streaming performed under cellular networks....

Cellular networks are now facing severe traffic overload problems due to the explosive growth of mobile data traffic. One promising solutions is offload part through WiFi. In this paper, we investigate an oligopoly offloading market, where several virtual network operators (MVNOs) compete serve end users using infrastructures leased from host operator (MNO). First, study competitive interaction among multiple MVNOs considering market. Then, formulate as a noncooperative inventory game, each...

The problem of state estimation during antilock braking in the real vehicle is addressed this work. proposed nonlinear observer based on unscented Kalman filter theory can provide necessary information for control despite presence measurement noise, uncertainties model parameters, road friction coefficient, and inclination. In design, a LuGre tire deduced from quarter car are used as design model. Furthermore, an observability analysis carried out plant order to prove defined variables with...

Purpose The aim of this study was to investigate the effect implant shape and screw pitch on microdamage in bone during insertion dental implants. Materials Methods Thirty custom-made implants (length, 10 mm; diameters, 4.1 cylindrical, tapered, taper-cylindrical shapes; pitches, 1.25 0.8 classified as 1.25C, 0.8C, 1.25T, 0.8T, 1.25TC, 0.8TC) were placed with a surgical device mandibles eight goats. Two sites prepared edentulous area each side mandible. Implants randomized order. Immediately...

Cellular networks are now facing severe traffic overload problems due to the explosive growth of mobile data traffic. One promising solutions is offload part through WiFi. In this paper, we investigate an oligopoly offloading market, where several Mobile Virtual Network Operators (MVNOs) compete serve end users using network infrastructure leased from host Operator (MNO) at wholesale market. First, study competitive interactions among MVNOs considering Specially, formulate as a...

At present, single network and technology could be impotent when facing: 1) the rocketing proliferation of mobile devices; 2) heterogeneity data services users' contexts. Therefore, offloading some specific traffic to other networks is a natural yet effective solution. To this end, paper engineers cellular oriented vehicular ad hoc (VANETs), which concentrate on bandwidth-hungry in environment. Specifically, two-phase resource allocation process adopted, where utilization patterns both...

The limited computing ability of mobile device constrains its performance on complex applications. Mobile cloud (MCC) has therefore emerged to migrate computation-intensive tasks remote clouds or cloudlets. Most strategies allocate with minimal response time yet few consider the load nodes. In this paper, we focus balancing problem for nodes when they conduct offloading. We first establish a five-tuple characterized task model capture offloaded tasks. Then, formulate allocation as an integer...

At present, single network and technology could be impotent when facing: 1) the rocketing proliferation of mobile devices; 2) heterogeneity data services users' contexts. Therefore, offloading some specific traffic to other networks is a natural yet effective solution. To this end, paper engineers cellular oriented vehicular ad hoc (VANETs), which concentrate on bandwidth-hungry in environment. Specifically, two-phase resource allocation process adopted, where utilization patterns both...

This paper decribes the progress of an humanoid biped robot project and mainly focuses on its mechanical design kinematics analysis. project, which started in 2009, is aiming at realization lower part robot. As first step to finish robot's overall development, a novel structure was designed with two legs, feet pelvis. It has 12 degrees freedom. The body shape mass distribution similar that adult purpose get ideal stable walking movement. In this paper, we discuss basic configuration, joints...

Phasor measurement units (PMU) are taking an increasingly important role in power system dynamic security monitoring and control. However, traditional Discrete Fourier Transforms (DFT) used by PMUs cannot obtain accurate phasor measurements during frequency excursion transient events, being limited its static model. Therefore, the performance of under both conditions is fundamental. In this paper, averaging effect DFT explored, which results errors conditions. Then, a PMU testing introduced....

Massive datasets bring new challenges to traditional statistical inference, particularly in terms of memory restriction and computation time. Support vector regression is a robust efficient estimation method. We first adopt smoothing techniques develop smoothed support (S-SVR) Then we propose distributed S-SVR (DS-SVR) algorithm for massive datasets. The proposed method solves the problems time, resulting estimate can achieve same efficiency as estimator computed on all data. also establish...

Recent interest in the use of wireless sensor networks for structural health monitoring (SHM) is mainly due to their low implementation costs and potential measure responses a structure at unprecedented spatial resolution. Approaches capable detecting damage using distributed processing must be developed parallel with this technology significantly reduce power consumption communication bandwidth requirements platforms. In investigation, detection system based on approach proposed...