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Normal human brain exhibits approximately bi-fold symmetry with respect to its midsagittal plane (MSP). The objective of this work is to investigate the effect of doubling atlases (i.e., reference images) used in multi-atlas fusion methods by exploiting the inherent bilateral symmetry of human brain. To this end, we perform automated segmentation of 15 subcortical structures using Local Weighted Voting...
In this study, a decision support system has been developed for land mine detection and classification. Data obtained from detector based magnetic anomaly have been used to classify the land mines. With this classification, it is decided that whether obtained data belongs to a land mine or not, and the type of mine. The meta-heuristic k-NN classifier (HKC) has been used in developed decision support...
In this paper, we show that for a given pair of metrics, such as IGTE vs. IGFE, number of packets vs. number of network flows, etc., the functional relation between them may be complex and can not be described perfectly by linear equation. In order to capture this complex relationship, we make use of evidence function framework to automatically determine the optimal model for the metrics. Then we...
This paper presents a study related to a possible topology of a novelty detector to be applied in Power Systems applications. With the new scenario of Smart Grids a novelty detector should not be focused in the typical PQ disturbances but in any new deviation/variation that may happen in the signal. In this way, the traditional methodology of novelty detection, that is based on a training stage is...
A license plate detection task (LPD) is an important stage in the License plate recognition (LPR) implementations for automated transport systems. This paper is focused on a theory behind various interest points (IPs) detectors and region descriptors often used in applications of image processing including the LPR apps among others. We have carried out wide analysis on behaviour of several selected...
Non-linear detection for multi-antenna (MIMO) systems using iterative detection and decoding offers superior communications performance at the cost of an increased computational complexity. Various algorithms from literature solve the underlying search problem using quite diverse approaches. Detection based on a Trellis diagram to structure the search has shown close-to-optimal performance, however...
Image sharpness is one of the most determining factors for image readability and scene understanding. How to accurately quantify it is a hot topic. This paper systematically validates a previously proposed index for full-reference image sharpness assessment (edge preservation ratio, EPR). Based on Gaussian blurring images in LIVE, CSIQ, TID2008 and TID2013 databases, we firstly evaluated EPR accuracy...
Mobile robot technology has been one of the most promising topics recently. As the basis of mobile robots, object recognition has important research significance to perceive environments. Float-point descriptors like SIFT are widely used for object recognition, but need large storage and computational costs. To overcome the limitations of float-point descriptors applied to mobile robots, binary descriptors...
Although security starts to be taken into account during software development, the tendency for source code to contain vulnerabilities persists. Open source static analysis tools provide a sensible approach to mitigate this problem. However, these tools are programmed to detect a specific set of vulnerabilities and they are often difficult to extend to detect new ones. WAP is a recent popular open...
Cloud computing is now extremely popular because of its use of elastic resources to provide optimized, cost-effective and on-demand services. However, clouds may be subject to challenges arising from cyber attacks including DoS and malware, as well as from sheer complexity problems that manifest themselves as anomalies. Anomaly detection techniques are used increasingly to improve the resilience of...
In this paper, we design the low-complexity tree search-based detectors for generalized spatial modulation (GSM) aided single carrier (SC) systems over dispersive channels. Specifically, we commence with a brief review of the existing detection algorithms and then extend the sphere decoding-aided (SD) tree search algorithms designed for flat fading channels to GSM-aided SC systems. Moreover, a pair...
In recent years, iterative receiver has been widely considered since it is able to achieve high data rates and reliable communications for coded MIMO-OFDM systems. However, such a receiver is extremely challenging in practical implementation. In this paper, we present an efficient fixed-point arithmetic of iterative receiver based on low-complexity K-Best decoder in order to reduce the hardware costs...
Because of the existence of channel noise, channel coding serves as an indispensable part of mobile communication system and the essential guarantee for the reliable, accurate, and effective transmission of information. As one of the most competitive channel code candidates for the 5th generation (5G) mobile communication, polar codes are the first codes which can provably achieve the symmetric capacity...
In this paper, we present TACO (Textual Analysis for Code Smell Detection), a technique that exploits textual analysis to detect a family of smells of different nature and different levels of granularity. We run TACO on 10 open source projects, comparing its performance with existing smell detectors purely based on structural information extracted from code components. The analysis of the results...
In this paper, dual-layer multi-user multiple-input multiple-output systems are studied. Building on the low-complexity layered orthogonal lattice detector (LC-LORD), an efficient sub-optimal joint modulation classification (MC) of the co-scheduled user and data detection receiver is developed. By adjusting the Max-Log-Maximum-a-Posteriori MC approach to the limitations of LC-LORD, and expanding it...
In this paper, a low-complexity near-optimal detector for 8-layer MIMO systems is proposed. The detector employs subspace detection schemes, which decompose a spacially multiplexed MIMO channel into multiple decoupled streams to be detected separately. Several existing subspace detection algorithms are studied, all of which require a significant overhead for channel matrix decomposition. We propose...
This paper proposes two metrics for evaluating the low probability of detection (LPD) performance in cooperative wireless communication networks. One metric is the distance ration between the minimum range of all the interceptor-relay/transmitter pairs and the intended transmitter-destination distance. Another is the ratio between the average range of all interceptor-relay/transmitter pairs and the...
To maintain the secrecy of information, various information hiding techniques are used. Steganography is one of them, which means hide information inside another digital media like text, image, audio, video etc. without being detected by human visual system (HVS). Recently Video steganography has become a strong tool to hide large amount of data rather than image steganography. This paper is proposing...
Remotely sensed hyperspectral imagery provides, at each pixel, a radiance spectrum with up to hundreds of distinct wavelength channels. This high-dimensional spectral information allows for pixel-level material discrimination, including applications to remotely detecting the presence of particular materials of interest within a scene. Target detection takes a spectrum (or multiple spectra) corresponding...
Spectrum sensing presents a substantial challenge in the novel emerging telecommunications technologies, and a crucial step that should be performed by cognitive user to identify the unoccupied frequency bands, in order to enhance the spectral efficiency and the QoS to both licensed and unlicensed users. In this paper, we propose a novel sensing approach based on the cross-correlated moments' selection...
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