Frequency dynamics is one of the most important measures an electrical power system status. To better understand dynamics, accurately measured wide-area frequency needed. The concept building Internet-based real-time GPS-synchronized monitoring network (FNET) was proposed in 2000 by Qiu et al., and this has been realized. FNET consists disturbance recorders information management system. made synchronized observations entire U.S. possible with very little cost for first time. This paper...

Sparse representation-based classifier (SRC), a combined result of machine learning and compressed sensing, shows its good classification performance on face image data. However, SRC could not well classify the data with same direction distribution. The distribution means that sample vectors belonging to different classes distribute vector direction. This paper presents new classifier, kernel sparse (KSRC), based trick which is usual technique in learning. KSRC nonlinear extension can remedy...

Distributed clusters like the Grid and PlanetLab enable same statistical multiplexing efficiency gains for computing as Internet provides networking. One major challenge is allocating resources in an economically efficient low-latency

We propose a new routing graph, the Restricted Delaunay Graph (RDG), for ad hoc networks. Combined with node clustering algorithm RDG can be used as an underlying graph geographic protocols. This has following attractive properties: (1) it is planar graph; (2) between any two nodes there exists path in whose length, whether measured terms of topological or Euclidean distance, only constant times optimum length possible; and (3) maintained efficiently distributed manner when move around....

We present gradient landmark-based distributed routing (GLIDER), a novel naming/addressing scheme and associated algorithm, for network of wireless communicating nodes. assume that the nodes are fixed (though their geographic locations not necessarily known), each node can communicate wirelessly with some its neighbors - common scenario in sensor networks. develop protocol which preprocessing phase discovers global topology field and, as byproduct, partitions into routable tiles regions...

Market clearing prices (MCPs) play an important role in a deregulated power market, and good MCP prediction confidence interval (CI) estimation will help utilities independent producers submit effective bids with low risks. prediction, however, is difficult, since nonstationary process. Effective principle, can be achieved by neural networks using extended Kalman filter (EKF) as integrated adaptive learning CI method. EKF learning, computationally expensive because it involves high...

We propose a new routing graph, the restricted Delaunay graph (RDG), for mobile ad hoc networks. Combined with node clustering algorithm, RDG can be used as an underlying geographic protocols. This has following attractive properties: 1) it is planar; 2) between any two nodes there exists path whose length, whether measured in terms of topological or Euclidean distance, only constant times minimum length possible; and 3) maintained efficiently distributed manner when move around....

Energy detection (ED) is a simple and popular method of spectrum sensing in cognitive radio systems. It also widely known that the performance techniques largely affected when users experience fading effects. This paper investigates an energy detector over generalized <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$\kappa{-}\mu$</tex></formula> Notation="TeX">$\kappa{-} \mu$</tex></formula> extreme...

Public edge platforms have drawn increasing attention from both academia and industry. In this study, we perform a first-of-its-kind measurement study on leading public platform that has been densely deployed in China. Based measurement, quantitatively answer two critical yet unexplored questions. First, end users' perspective, what is the performance of commodity compared to cloud, terms end-to-end network delay, throughput, application QoE. Second, service provider's how are workloads...

The energy market clearing prices (MCPs) in deregulated power markets are volatile. Good MCP prediction and its confidence interval estimation will help utilities independent producers submit effective bids with low risks. prediction, however, is difficult since bidding strategies used by participants complicated various uncertainties interact an intricate way. Furthermore, predictors usually have a cascaded structure, as several key input factors need to be predicted first. Cascaded...

We propose a new routing graph, the Restricted Delaunay Graph (RDG), for ad hoc networks. Combined with node clustering algorithm RDG can be used as an underlying graph geographic protocols. This has following attractive properties: (1) it is planar graph; (2) between any two nodes there exists path in whose length, whether measured terms of topological or Euclidean distance, only constant times optimum length possible; and (3) maintained efficiently distributed manner when move around....

The overwhelming success of the Web as a mechanism for facilitating information retrieval and conducting business transactions has ledto an increase in deployment complex enterprise applications. These applications typically run on Application Servers, which assume burden managing many tasks, such concurrency, memory management, database access, etc., required by these performance Server depends heavily appropriate configuration. Configuration is difficult error-prone task dueto large number...

Packet delay traces are important measurements for analyzing end-to-end performance and designing traffic control algorithms in computer networks. Due to the fact that clocks at end systems usually not synchronized running different speeds, these can be quite inaccurate. We propose several estimate remove relative clock skews from based on computation of convex hulls. Compared with existing techniques, such as linear regression programming, convex-hull approach provides better insight allows...

Internet of Vehicles (IoV) is a typical application things in the field transportation, which aims at achieving an integrated intelligent transportation system to enhance traffics, avoid accidents, ensure road safety, and improve driving experiences. Due its characteristics dynamic topological structures, huge network scale, non-uniform distribution nodes, mobile limitation, IoV systems face various types attacks, such as authentication identification availability confidentiality routing...

Ultra-dense small cell deployment in future 5G networks is a promising solution to the ever increasing demand of capacity and coverage. However, this can lead severe interference high number handovers, which turn cause increased signaling overhead. In order ensure service continuity for mobile users, minimize unnecessary handovers reduce overhead heterogeneous networks, it important model adequately handover decision problem. paper, we based on multiple attribute making method, namely...

In this paper, a novel super-wideband multiple-input multiple-output (SWB-MIMO) antenna system with high isolation has been proposed, each element consisting of spade-shaped radiation patch, defected ground structure (DGS) as well windmill-shaped decoupling structure. The elliptical slot etched on the patch and rectangular DGS are jointly utilized to make better performance impedance bandwidth. Both four-element eight-element SWB-MIMO systems simulated analyzed, respectively. A prototype...

With the recent advancement of vehicular ad-hoc networks (VANETs) or internet vehicles (IoVs), are getting more powerful and generating huge amount traffic data, including computation-intensive delay-sensitive applications in edge computing (VEC) networks, which difficult to be processed by an individual node. These resource-demanding tasks can transferred another node with idle resources for processing. Due high mobility limited nodes, it is challenging execute lengthy until completion...

\emph{We propose a new randomized algorithm for maintaining set of c lusters among moving nodes in the plane. Given specified cluster radius, our selects and maintains variable subset as centers. This has property that (1) balls given radius centered at chosen cover all others (2) number centers selected is constant-factor approximation minimum possible. As move, an event-based kinetic data structure updates clustering necessary. shown to be responsive, efficient, local, compact. The...

We study the problem of allocating shared resources, such as bandwidth in computer networks and computational resources clusters, among multiple users by proportional-share market mechanism. Under this mechanism, each user partitions his budget receives a fraction resource proportional to bid. first formulate allocation game under mechanism efficiency fairness equilibrium game. present analytic simulation results demonstrating that achieves reasonable balance high degrees at equilibrium.

An iterative Least Square (LS) channel estimation algorithm for MIMO OFDM systems was proposed in this paper. Compared to common LS estimation, can greatly improve accuracy, and the low-pass filtering time domain reduces AWGN ICI significantly. system with also works well mobile situations. Simulation results have shown good MSE performance algorithm.

In this letter, an efficient channel estimation approach based on the emerging block-structured compressive sensing is proposed for downlink massive multiuser (MU) MIMO system. By exploiting block sparsity of matrix and reciprocity in TDD mode, auxiliary information subspace pursuit (ABSP) algorithm to recover channels, where path delays acquired from uplink training utilized as information. Unlike traditional approaches overhead proportional number BS antennas, could provide accurate...

After analysing the security conditions in current Enterprise Systems (ES), this paper proposes a systematic framework that is based on Secure Sockets Layer Virtual Private Network (SSL‐VPN) for improving management. This takes account of several key aspects such as channel strategy, network pattern, workstation authentication, identity workflow, etc. The proposed has following advantages: low cost, high performance, easy to implement, and strong control pattern. In addition, dynamic...