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This paper addresses the problem of compensating for motion-induced Doppler frequency offset in multicarrier acoustic communication systems based on orthogonal frequency division multiplexing (OFDM). In mobile acoustic systems, Doppler effect can be sever enough that the received OFDM signal experiences non-negligible frequency offsets even after initial resampling. To target these offsets, a practical...
In this work, EEG signals are used to detect the presence of pain in healthy subjects aiming to apply the same process to non-communicative patients. It was acquired 20 EEGs of healthy subjects in resting and pain state. Pain was induced through a cold pressor test. Phase Indexes as Phase Lag Index, Weighted Phase Lag Index were applied in four frequency bands to detect pain, getting significant results...
Compressive sensing (CS) is one of the effective data compression methods where a small number of measurements of a sparse signal is required to have an exact recovery. In Compressive sensing technique, the data is acquired and compressed at the same time. CS concept allows capturing only fewer sparse and compressible signal which contains only useful information that helps to recover a proper signal...
Given a beginning and ending document, automated storytelling attempts to fill in intermediary documents to form a coherent story. This is a common problem for analysts; they often have two snippets of information and want to find the other pieces that relate them. Evaluation of the quality of the created stories is difficult and has routinely involved human judgment. This work extends the state of...
In this paper, we propose a high-altitude platform (HAP)-based free space optical communication (FSO) system using all-optical relaying to connect two ground stations (GSs) via a HAP. Optical detect-amplify-and-forward is carried out at the HAP thanks to the use of an optical hard-limiter and an optical amplifier. In addition, coherent detection is applied at the GS's receiver to improved the receiver...
Genome classification has become an increasingly important genomic research method for cancer identification and treatment. One challenge associated with genome classification is feature selection; which genes can be used for phenotyping. This challenge is made more complicated considering affected gene mutate at different rates and schedules. In addition, the number of genes and consequently the...
Recently, side-channel attacks on Last Level Caches (LLCs) were demonstrated. The attacks require the ability to evict critical data from the cache hierarchy, making future accesses visible. We propose Relaxed Inclusion Caches (RIC), a low-complexity cache design protecting against LLC side channel attacks. RIC relaxes inclusion when it is not needed, preventing the attacker from replacing the victim's...
Interrogation of multiplexed arrays of fiber Bragg grating (FBG) sensors is generally limited on several fronts, for example, the number of sensors in an array can be restricted by the bandwidth of illuminating source, and simultaneous interrogation of all of the sensors in an array can be limited depending on the technology adopted. Interferometric interrogation overcomes the simultaneous interrogation...
Detecting communities in non-trivial networks is a hard task that has been attracting the attention of many researchers in the field of complex networks. When the network has identical and non-overlapping communities, however, one could expect this task to be easy. We show in this paper that, surprisingly, it is not the case. For this purpose, we carried out a controlled experiment in which 9 well-known...
The study of complex networks has gained much interest. In particular, network coherence is a current hot topic. In this paper, we construct the weighted treelike network with weight factor to be our model. Although some properties have been revealed in weighted treelike networks, studies on their network coherence are still less and remain a challenge. In order to enrich the research of weighted...
The problem of constructing matrix with lowcoherence is arised in many applications, such as CDMA, compressive sensing (CS), beamforming, etc. Usually the design of low-coherence codebook can be modeled as vector quantization (VQ) problem, and generalized Lloyd algorithm is designed to solve it. Since Lloyd algorithm is a method of local optimization, its performance is influenced by initial value...
Mixed Reality aims at combining virtual reality with the user's surrounding real environment in a way that they form one, coherent reality. A coherent visual quality is of utmost importance, expressed in measures of e.g. resolution, framerate, and latency for both the real and the virtual domains. For years, researchers have focused on maximizing the quality of the virtual visualization mimicking...
The abstract is the quintessential technical writing genre, because abstract writing involves judiciously selecting content and conveying such content in lean, focused writing. This study tested the efficacy of the structured abstract content framework, proposed by Hartley, in the teaching of abstract writing in Electrical and Computer Engineering (ECE). Subject-matter experts and a technical editor...
In this paper, a new method-variational mode decomposition-intermuscular coherence (VMD-IMC) based on the adaptively decomposing signal into frequency band characteristis of variational mode decomposition (VMD) and intermuscular coherence (IMC) analysis is proposed. Multi-channel sEMG signals are decomposed into several intrinsic mode functions (IMF) based on VMD to describe the information on different...
Brain activation can be observed by means of electrical and haemodynamic responses under the resting state condition. Several brain regions are synchronously activated to form functional brain networks during the resting state condition or while perforing a mental task. In the concept of this study, brain dynamics are measured using EEG and fMRI during rest and EEG is measured during a chess game...
We present a novel and effective approach for generating new clothing on a wearer through generative adversarial learning. Given an input image of a person and a sentence describing a different outfit, our model “redresses” the person as desired, while at the same time keeping the wearer and her/his pose unchanged. Generating new outfits with precise regions conforming to a language description while...
In this paper, we introduce a class of small-world networks. We investigate the first- and second-order network coherence quantifying as the sum and square sum of reciprocals of all nonzero Laplacian eigenvalues. Firstly, we deduce the recursive relationship of its eigenvalues at two successive generations of Laplacian matrix. Then we compute the sum and square sum of reciprocal of all nonzero Laplacian...
Multi-channel speech enhancement algorithms rely on a synchronous sampling of the microphone signals. This, however, cannot always be guaranteed, especially if the sensors are distributed in an environment. To avoid performance degradation the sampling rate offset needs to be estimated and compensated for. In this contribution we extend the recently proposed coherence drift based method in two important...
Multi-channel methods for estimating the late reverberation power spectral density (PSD) generally assume that the reverberant PSD matrix can be decomposed as the sum of a rank-1 matrix and a scaled diffuse coherence matrix. To account for modeling or estimation errors in the estimated reverberant PSD matrix, in this paper we propose to decompose this matrix as the sum of a low rank (not necessarily...
Long monitoring tasks without regular actions, are becoming increasingly common from aircraft pilots to train conductors as these systems grow more automated. These task contexts are challenging for the human operator because they require inputs at irregular and highly interspaced moments even though these actions are often critical. It has been shown that such conditions lead to divided and distracted...
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