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Face detection is already incorporated in many biometrics and surveillance applications. Therefore, the reduction of false detections is a priority in those systems. However, face detection is still challenging. Many factors, such as pose variation and complex backgrounds, contribute to false detections. Besides, the fidelity of a true detection, measured by precision rate, is a concern in content-based...
Opinions are key determinants to many of the activities related to software development. The perceptions of developers about an API, and the choices they make about whether and how they should use it, may, to a considerable degree, be conditioned upon how other developers see and evaluate the API. Given the plethora of APIs available for a given development task and the advent of developer forums...
The computing systems used by LHC experiments has historically consisted of the federation of hundreds to thousands of distributed resources, ranging from small to mid-size re-source. In spite of the impressive scale of the existing distributed computing solutions, the federation of small to mid-size resources will be insufficient to meet projected future demands. This paper is a case study of how...
We present a novel computational framework that connects Blue Waters, the NSF-supported, leadership-class supercomputer operated by NCSA, to the Laser Interferometer Gravitational-Wave Observatory (LIGO) Data Grid via Open Science Grid technology. To enable this computational infrastructure, we configured, for the first time, a LIGO Data Grid Tier-1 Center that can submit heterogeneous LIGO workflows...
A modern smart battery charger is made of a Dc-Dc converter working in two modes: Charge and Boost. The Zero Cross Detector (ZCD) circuit is a highly important block in a Dc-Dc converter for achieving low switching losses. This paper presents a new approach to a ZCD converter which works by predicting the current through the inductor in DCM mode, based on the voltage across the diode during the conduction...
For autonomous vehicles, the ability to detect and localize surrounding vehicles is critical. It is fundamental for further processing steps like collision avoidance or path planning. This paper introduces a convolutional neural network- based vehicle detection and localization method using point cloud data acquired by a LIDAR sensor. Acquired point clouds are transformed into bird's eye view elevation...
Deception plays a critical role in many interactions in communication and network security. Game-theoretic models called “cheap talk signaling games” capture the dynamic and information-asymmetric nature of deceptive interactions. But signaling games inherently model undetectable deception. In this paper, we investigate a model of signaling games in which the receiver can detect deception with some...
Frequency hopping (FH) is widely used in commercial and military communications. The purposes of FH in military communications are anti-jamming and low probability of interception. To implement low probability of detection or interception, FH signals randomly change carrier frequency. There are several kinds of FH detectors for example autocorrelation detector, maximum-likelihood detector and optimum...
A new detection algorithm for direct sequence spread spectrum (DSSS) signals using peak-to-average power ratio (PAPR) is proposed. The received signals are divided into several blocks. Then we calculate peak-to-average power ratio of each block and we use the average of peak-to-average power ratios as test statistics. The advantage of the proposed algorithm is no need to estimate noise variance. Additionally,...
In this paper, we attempt to manage GC overhead at the operating system level. In our approach, first, we use a machine learning technique to devise a GC detecting mechanism at the operating system level, and second, we show that by making use of this mechanism performance variance normally observed on SSDs can be reduced. We develop a GC-detector that detects garbage collection of SSDs and request...
In this paper, we analyze the performances of the Cell Averaging based on Lookup Tables (CA-LT) detector considering distributed targets embedded in Pareto distributed clutter. Assuming that the clutter parameters are not a priori known, the detector's structure is associated to an estimation approach that estimates the clutter parameters. The latter are used to select the suitable threshold factor...
This paper presents a novel centralized cooperative scheme which combines compressed sensing (CS) method based on the analog-to-information converter (AIC) with statistical and graphical chi-square Quantile-Quantile (QQ) plot detector. The received signal at every cognitive radio (CR) user in the presence of Additive-White-Gaussian-Noise (AWGN) and intentional interference attack signal (jamming)...
Quantum key distribution (QKD) enables two authenticated parties to share secret keys with the ability to detect any attempts to eavesdrop the keys theoretically. Currently, QKD systems can be categorized by its source of uncertainty in nature; single photon or coherent light. As coherent light is harnessed, the overall cost for composing systems drops in general. However, more elaborate post processing...
The full potential of multiple-input multiple-output (MIMO) wireless technology can be achieved through iterative MIMO decoding with soft information. In iterative MIMO decoder, the complexity can be major obstacle for practical implementation. The soft interference cancellation-minimum mean squared error (SIC-MMSE) approach for detection is considered as a feasible approach due to its complexity-performance...
The attempt was made to develop a new measuring method for obtaining the state of the arc in the nozzle throat. The measuring methodology used in this experiment was based on a contactless sensing by use of straight-line conductors as detectors. We used resistors as alternative to the arc and attempted to reproduce an electric potential vb at a certain location. The experimental result indicates the...
For photosensitive devices such as infrared (IR) photodetectors, dark current is an important mechanism limiting the performance because it causes a decrease in the signal-to-noise ratio and the responsibility. The main objective of this work is to understand and analyze the electrical performance of InAs/GaSb type-II superlattice (SL) IR detectors using a device simulator especially focusing on the...
Following the recent trend in the development of the renewable energy market, complemented with the future and emerging technologies, the leading role of the grid connected converter is well established. In the future energy market, as an interconnecting element, it will serve to secure reliable power supply with extraordinary power quality characteristics. This paper will aim at presenting the basic...
Sparse-code multiple-access (SCMA) is a novel multiplexing method to increase the capacity of wireless communication systems. By giving users non-orthogonal codebook with few non-zero entries, the SCMA approach can highly improve the spectral efficiency, compared with traditional orthogonal ones such as CDMA, with tolerable detection complexity. Therefore, it has been considered as an option for 5G...
Ambient backscatter is an emerging technology that utilizes the surrounding radio frequency (RF) signals such as digital digital television (TV) broadcasting, cellular or Wireless-Fidelity (Wi-Fi) to enable batteryless devices to communicate with each other. One open problem for ambient backscatter is channel capacity. In this paper, we investigate the capacity problem of an ambient backscatter communication...
Massive multiple-input multiple-output (MIMO) is a promising technology for next generation wireless communication systems (5G). In this technology, Base Station (BS) is equipped with a large number of antennas. Employing high resolution analog-to-digital converters (ADCs) for all antennas may cause high costs and high power consumption for the BS. By performing numerical results, we evaluate the...
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