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This paper addresses the problem of bad data detection in the power grid. An online probability density based technique is presented to identify bad measurements within a sensor data stream in a decentralized manner using only the data from the neighboring buses and a one-hop communication system. Analyzing the spatial and temporal dependency between the measurements, the proposed algorithm identifies...
Time division multiple access (TDMA) based channel access is one of the most widely used mechanisms in Mobile Ad hoc Networks (MANET) with its efficient channel access and collision free transmissions at its core. In this paper, we propose a unique TDMA frame format designed specifically for supporting two-way voice communication in bandwidth efficient manner. The proposed algorithm uses single radio...
This paper introduces a novel approach for coding luminance images using kernel-based adaptive filtering and context-adaptive arithmetic coding. This approach tackles the problem that is present in current image and video coders; these coders depend on assumptions of the image and are constrained by the linearity of their predictors. The efficacy of the predictors determines the compression gain....
High throughput computing (HTC) systems are widely adopted in scientific discovery and engineering research. They are responsible for scheduling submitted batch jobs to utilize the cluster resources. Current systems mostly focus on managing computing resources like CPU and memory, however, they lack flexible and fine-grained management mechanisms for network resources. This has increasingly been an...
The paper presents an assessment of the working conditions of 110 kV lines within a power company. Using Neplan software, the connections system of 110 kV lines together with points of feeder and load has been analyzed. Power flow was set for peak load of the whole power company. The power flow and resulting power losses for the whole area supplied by this company as well as transmission capacity...
Cache memories have been introduced in recent generations of Graphics Processing Units (GPUs) to benefit general-purpose computing on GPUs (GPGPUs). In this work, we analyze the memory access patterns of GPGPU applications and propose a cost-effective profiling-based method to identify the data accesses that should bypass the L1 data cache to improve performance. The evaluation indicates that the...
Given noisy samples of a signal, the problem of testing whether the signal belongs to a given parametric class of signals is considered. We examine the nonparametric situation as for a well-defined null hypothesis signal model we admit broad alternative signal classes that cannot be parametrized. For such a setup, we introduce testing procedures relying on nonparametric kernel-type sampling reconstruction...
Reduced interference distributions are well-known methods used for quadratic time-frequency signal analysis of nonstationary data including Doppler signals. These distributions use kernels that determine the quality of a time-frequency signal representation. Optimal reduced interference distribution kernels are determined based on the employed design criteria, including sparsity and concentration...
This paper aims to assess the influence of wind power generation on the market splitting behaviour of the Iberian electricity spot markets. Iberia stands as an ideal case study, where the high level deployment of wind power is observed, together with an early implementation of the market splitting mechanism between the Portuguese and the Spanish spot electricity markets. Non-parametric models are...
Attaching next-generation non-volatile memories (NVMs) to the main memory bus provides low-latency, byte-addressable access to persistent data that should significantly improve performance for a wide range of storage-intensive workloads. We present an analysis of storage application performance with non-volatile main memory (NVMM) using a hardware NVMM emulator that allows fine-grain tuning of NVMM...
In this paper we show how to analytically model two widely used distributed matrix-multiply algorithms, Cannon's 2D and Johnson's 3D, implemented within the Intel Concurrent Collections framework for shared/distributed memory execution. Our precise analytical model proceeds by estimating the computation time and communication times, taking into account factors such as the block size, communication...
Fingerprint minutiae distribution plays a critical role in studies such as fingerprint individuality for strengthening the scientific validity of fingerprint evidence and generating synthetic fingerprints for large-scale system evaluations. Fingerprint minutiae are not uniformly distributed as once assumed. Spatial inhomogeneity has been found in minutiae distribution, yet it is not clear what underlies...
This paper describes some new developments to a recently proposed approach to the generation of fault symptoms in dynamic systems. The method is model-free, in the sense that no analytical model of the plant is needed. The kernel-smoother makes it possible to detect changes in the plant dynamics, possibly due to some malfunction. A simple sufficient condition for fault detectability is presented and...
Either exact realizations or useful approximations of general linear systems may be implemented in the form of repeated filtering operations in consecutive fractional Fourier domains. These implementations are much cheaper than direct implementations of general linear systems. Thus, we may significantly decrease the optical and digital implementation costs of general linear systems with little or...
The classical WKS sampling theorem is a central result in signal processing, but it applies to band-limited signals only. For many purposes, this class of signals is too narrow. For example, the signals that occur in practice are invariably of finite duration, or time-limited, and often have discontinuities. Clearly, such signals cannot be band-limited. We consider the problem of approximating such...
In this paper a new class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter class is based on the nonparametric estimation of the density probability function of pixels in a sliding filtering window. The comparison of the new filtering method with the standard techniques used for impulsive noise removal, indicates good noise removal capabilities...
Optimal control of a wave energy converter (WEC) in polychromatic seas is possible only with accurate future knowledge of wave elevation, excitation force or WEC state. The required future knowledge is related to the bandwidth of the radiation damping, while the available future knowledge is related to the bandwidth of the wave spectrum. A new concept called premonition time is introduced, which is...
Low latency, high throughput, and fairness are the stringent performance requirements of data center networks. For web applications continue to thrive, data center must remain effective by addressing these challenges. While most of the challenges have been handled by data center specific transport protocols (e.g. DCTCP), these transport protocols are not default options for data center users. Free...
Conventional servers have achieved high performance by employing fast CPUs to run compute-intensive workloads, while making operating systems manage relatively slow I/O devices through memory accesses and interrupts. However, as the emerging workloads are becoming heavily data-intensive and the emerging devices (e.g., NVM storage, high-bandwidth NICs, and GPUs) come to enable low-latency and high-bandwidth...
Although graphics processing units (GPUs) are capable of high compute throughput, their memory systems need to supply the arithmetic pipelines with data at a sufficient rate to avoid stalls. For benchmarks that have divergent access patterns or cause the L1 cache to run out of resources, the link between the GPU's load/store unit and the L1 cache becomes a bottleneck in the memory system, leading...
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