Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint Detection and Hop Parameters Estimation of Slow FHSS/MFSK Signals Using DHWT-AC Technique in Rayleigh Block Fading Channels

Frequency hopping spread spectrum (FHSS) has been paid much attention and has been employed by various wireless systems. For the reception of FHSS signals, first of all, we need to detect the presence of signal, and then to estimate hop parameters such as hop timing and hop frequency. In this paper, we propose an efficient algorithm for joint detection and hop parameters estimation of the slow FHSS/MFSK signals using two different methods, namely, the Discrete Haar Wavelet Transform (DHWT) and the autocorrelation (AC) in Rayleigh block fading channels. This algorithm can be used in communication intelligent (COMINT) systems for surveillance issues. The performance and behavior of the proposed algorithm are examined through computer simulations over practical measured data.
Fast invariant face detection in video frames

Face extraction in video is very critical in security and internet communication. In this view point, extracting view invariant faces in real time is more important. In this paper a new rapid algorithm for this purpose is proposed. The algorithm uses two phases to extract view invariant faces in video frames. The result shows that the algorithm performs well in extracting the face area with acceptable speed and accuracy.
Efficient word segmentation driven by unconstrained handwritten phrase recognition

An efficient system which finds the best match between an input image and a lexicon is presented. To capture writing style of spacing between words and characters prime stroke analysis based on statistical methods is introduced. A method for estimating bound on number of characters without actual recognition is also presented. For system efficiency, before actual recognition, classified groups of word segments and eligible subset of lexicons are generated as hypotheses. The hypotheses are verified and ordered by a lexicon driven word recognizor. We have tested our approach in the street name recognition/interpretation for US mail stream. Experimental results and encouraging.
Structure and kinematics triangulation with a rolling shutter stereo rig

We describe a spatio-temporal triangulation method to be used with rolling shutter cameras. We show how a single pair of rolling shutter images enables the computation of both structure and motion of rigid moving objects. Starting from a set of point correspondences in the left and right images, we introduce the velocity and shutter characteristics in the triangulation equations. This results in a non-linear error criterion whose minimization in the least square sense provides the shape and velocity parameters. Unlike previous work on rolling shutter cameras, the constraining assumption of a-priori knowledge about the object geometry is removed and a full 3D motion model is considered. The aim of this work is thus to make the use of rolling shutter cameras of a broader interest. Experimental evaluation results confirm the feasibility of the approach.
Online Testing Framework for Web Services

Testing conceptually consists of three activities: test case generation, test case execution and verdict assignment. Using online testing, test cases are generated and simultaneously executed (i.e. the complete test scenario is built during test execution). This paper presents a framework that automatically generates and executes tests "online" for conformance testing of a composite of Web services described in BPEL. The proposed framework considers unit testing and it is based on a timed modeling of BPEL specification, a distributed testing architecture and an online testing algorithm that generates, executes and assigns verdicts to every generated state in the test case.
Identification of Genomic Aberrations by Array Comparative Genomic Hybridization in Patients with Aortic Dissections

Background The aim of the present study was to identify chromosomal loci that contribute to the pathogenesis of aortic dissection (AD) in a Korean population using array comparative genomic hybridization (CGH) and to confirm the results using real-time polymerase chain reaction (PCR). Materials and Methods Eighteen patients with ADs were enrolled in this study. Genomic DNA was extracted from individual blood samples, and array CGH analyses were performed. Four corresponding genes with obvious genomic changes were analyzed using real-time PCR in order to assess the level of genomic imbalance identified by array CGH. Results Genomic gains were most frequently detected at 8q24.3 (56%), followed by regions 7q35, 11q12.2, and 15q25.2 (50%). Genomic losses were most frequently observed at 4q35.2 (56%). Real-time PCR confirmed the results of the array CGH studies of the COL6A2, DGCR14, PCSK6, and SDHA genes. Conclusion This is the first study to identify candidate regions by array CGH in patients with ADs. The identification of genes that may predispose an individual to AD may lead to a better understanding of the mechanism of AD formation. Further multicenter studies comparing cohorts of patients of different ethnicities are warranted.
Going Cooler With Timing-Constrained TeSHoP: A Temperature Sensing-Based Hotspot-Driven Placement Technique for FPGAs

The continuous shrinking of the feature size in CMOS technology has significantly increased the power densities of integrated circuits, leading to severe temperature issues. However, the previous offline simulation-based thermal optimization works cast large deviations with the reality, while online sensing-based thermal managements usually incur significant performance overhead. Therefore, it is crucial to propose a method that could achieve fine-grained optimization with accurate temperature profiles. In this paper, we propose a timing-constraint temperature sensing-based hotspot-driven placement technique for field-programmable gate arrays (FPGAs). The hotspot optimization issue is modeled as a hyper minimum bipartite matching problem and is solved by a place adjustment with the input of an online sensed temperature profile. We propose an open-source/commercial hybrid design flow to implement the whole optimization in Xilinx Virtex-6 FPGA. Experimental results demonstrate a significant reduction in peak temperature and a great improvement on thermal uniformity, with slight performance overhead under timing constraints.
Lung Cancer Risk in Painters: A Meta-Analysis

Objective We conducted a meta-analysis to quantitatively compare the association between occupation as a painter and the incidence or mortality from lung cancer. Data sources PubMed and the reference lists of pertinent publications were searched and reviewed. For the meta-analysis, we used data from 47 independent cohort, record linkage, and case–control studies (from a total of 74 reports), including > 11,000 incident cases or deaths from lung cancer among painters. Data extraction Three authors independently abstracted data and assessed study quality. Data synthesis The summary relative risk (meta-RR, random effects) for lung cancer in painters was 1.35 [95% confidence interval (CI), 1.29–1.41; 47 studies] and 1.35 (95% CI, 1.21–1.51; 27 studies) after controlling for smoking. The relative risk was higher in never-smokers (meta-RR = 2.00; 95% CI, 1.09–3.67; 3 studies) and persisted when restricted to studies that adjusted for other occupational exposures (meta-RR = 1.57; 95% CI, 1.21–2.04; 5 studies). The results remained robust when stratified by study design, sex, and study location and are therefore unlikely due to chance or bias. Furthermore, exposure–response analyses suggested that the risk increased with duration of employment. Conclusion These results support the conclusion that occupational exposures in painters are causally associated with the risk of lung cancer.
Design a precoding codebook generator with an angular channel model using eigen beamforming

In this paper, we design a precoding codebook generator with an angular channel model using eigen beamforming. We consider a codebook generator which is constructed by an eigen beamforming with a channel state rotation matrix. The transmission signals are rotated by a real (θ) and a complex (φ) phase angle in the channel. Complex phase rotation (φ) depends on real phase angle (θ) and it has a free variable vector which is very easy to construct a beam in a precoding codebook generator. This paper inquires about a precoding codebook generator with an angular channel model which efficiently improves the transceiver beam structure and performance of bit error rate (BER).
Exponential Language Modeling Using Morphological Features and Multi-Task Learning

For languages with fast vocabulary growth and limited resources, data sparsity leads to challenges in training a language model. One strategy for addressing this problem is to leverage morphological structure as features in the model. This paper explores different uses of unsupervised morphological features in both the history and prediction space for three word-based exponential models (maximum entropy, logbilinear, and recurrent neural net (RNN)). Multi-task training is introduced as a regularizing mechanism to improve performance in the continuous-space approaches. The models are compared to non-parametric baselines. From using the RNN with morphological features and multi-task learning, experiments with conversational speech from four languages show we can obtain consistent gains of 7-11% in perplexity reduction in a limited-resource scenario (10 hrs speech), and 12-18% when the training size is increased ( 80 hrs ). Results are mixed for all other approaches, compared to a modified Kneser-Ney baseline, but morphology is useful in continuous-space models compared to their word-only baseline. Multi-task learning improves both continuous-space models.
“Remember” source memory ROCs indicate recollection is a continuous process

The dual process model assumes memory is based on recollection (retrieval with specific detail) or familiarity (retrieval without specific detail). A current debate is whether recollection is a threshold process or, like familiarity, is a continuous process. In the present study two continuous models and two threshold models of recollection were evaluated using receiver operating characteristic (ROC) analysis. These models included the continuous signal detection unequal variance model and the threshold dual process model. In the study phase of three experiments, objects were presented to the right or left of fixation. At test, participants made either remember–know responses or item confidence responses followed by source memory (spatial location) confidence ratings. Recollection-based ROCs were generated from source memory confidence ratings associated with “remember” responses (in Experiments 1–2) or the highest item confidence responses (in Experiment 3). Neither threshold model adequately fit any of the recollection-based ROCs. By contrast, one or both of the continuous models adequately fit all of the recollection-based ROCs. The present results indicate recollection and familiarity are both continuous processes.
Understanding comparative alternation in y-adjectives: What else might we need?

This paper investigates the contribution of lexical spreads (or type counts) of English comparative more and -er constructions to an understanding of comparative alternation in the $y$ -adjectives, that is adjectives ending in an orthographic ${<}\text{y}>$ and an /i/ sound, e.g. lazy. Comparative $y$ -adjective constructions from seven corpora of stage plays spanning from the 17th to the 20th century were analysed with mixed-effects modelling and correlations drawn between the comparatives of $y$ -adjectives and those of other adjectives. The findings indicate that while morphological complexity in $y$ -adjectives biases them towards more, more occurrences with $y$ -adjectives may also be related to the lexical spread of more in disyllabic adjectives that are not $y$ -ones. The findings suggest moreover that predictions of comparative forms based on the syntactic positioning of $y$ -adjectives and the [±voiced] nature of their penultimate segments may make sense only with respect to the lexical spread of more in other English adjectives. To understand why $y$ -adjectives seem divided between -er regularisation and adherence to the trend in English comparisons of a more bias, this paper proposes a need to supplement accounts of comparative alternation focused on the characteristics of $y$ -adjectives with considerations related to the lexical spread of comparative constructions.
Robot Global Path Planning Based on Improved Artificial Fish-Swarm Algorithm

In This study, a new artificial fish-swarm optimization, to improve the foraging behavior of artificial fish swarm algorithm is closer to reality in order to let the fish foraging behavior, increase a look at the link (search) ambient, after examining environment, artificial fish can get more status information of the surrounding environment. Artificial fish screened from the information obtained optimal state for the best direction of movement. Will improve the foraging behavior of artificial fish-swarm algorithm applied to robot global path planning, including the robot to bypass the analog obstacles selected three ways: go obstructions outside, go inside the obstacles, both away obstructions and went outside obstacles Thing achieve robot shortest path planning. Via the MATLAB software emulation test: the improved foraging behavior of artificial fish-swarm algorithm to improve the rapid convergence of the algorithm and stability, improve fish swarm algorithm to the adaptability of the robot global path planning.
Shorter Hospital Stays and Lower Costs for Rivaroxaban Compared With Warfarin for Venous Thrombosis Admissions

Background Venous thromboembolism, including deep vein thrombosis and pulmonary embolism, results in a substantial healthcare system burden. This retrospective observational study compared hospital length of stay (LOS) and hospitalization costs for patients with venous thromboembolism treated with rivaroxaban versus those treated with warfarin. Methods and Results Hospitalizations for adult patients with a primary diagnosis of deep vein thrombosis or pulmonary embolism who were initiated on rivaroxaban or warfarin were selected from MarketScan's Hospital Drug Database between November 1, 2012, and December 31, 2013. Patients treated with warfarin were matched 1:1 to patients treated with rivaroxaban using exact and propensity score matching. Hospital LOS, time from first dose to discharge, and hospitalization costs were reported descriptively and with generalized linear models (GLMs). The final study cohorts each included 1223 patients (751 with pulmonary embolism and 472 with deep vein thrombosis). Cohorts were well matched for demographic and clinical characteristics. Mean (±SD) LOS was 3.7±3.1 days for patients taking rivaroxaban and 5.2±3.7 days for patients taking warfarin, confirmed by GLM‐adjusted results (rivaroxaban 3.7 days, warfarin 5.3 days, P<0.001). Patients with provoked venous thromboembolism admissions showed longer LOSs (rivaroxaban 5.1±4.5 days, warfarin 6.5±5.6 days, P<0.001) than those with unprovoked venous thromboembolism (rivaroxaban 3.3±2.4 days, warfarin 4.8±2.8 days, P<0.001). Days from first dose to discharge were 2.4±1.7 for patients treated with rivaroxaban and 3.9±3.7 for patients treated with warfarin when initiated with parenteral anticoagulants (P<0.001), and 2.7±1.7 and 3.7±2.1, respectively, when initiated without parenteral anticoagulants (P<0.001). Patients initiated on rivaroxaban incurred significantly lower mean total hospitalization costs ($8688±$9927 versus $9823±$9319, P=0.004), confirmed by modeling (rivaroxaban $8387 [95% confidence interval, $8035–$8739]; warfarin $10 275 [95% confidence interval, $9842–$10 708]). Conclusions Rivaroxaban was associated with significantly shorter hospital LOS and lower hospitalization costs compared with warfarin.
Optimal Threshold Design for Quanta Image Sensor

Quanta image sensor is a binary imaging device envisioned to be the next generation image sensor after CCD and CMOS. Equipped with a massive number of single photon detectors, the sensor has a threshold <inline-formula> <tex-math notation="LaTeX">$q$</tex-math></inline-formula> above which the number of arriving photons will trigger a binary response “1”, or “0” otherwise. Existing methods in the device literature typically assume that <inline-formula><tex-math notation="LaTeX">$q = 1$</tex-math></inline-formula> uniformly. We argue that a spatial-temporally varying threshold can significantly improve the signal-to-noise ratio of the reconstructed image. In this paper, we present an optimal threshold design framework. We make two contributions. First, we derive a set of oracle results to theoretically inform the maximally achievable performance. We show that the oracle threshold should match exactly with the underlying pixel intensity. Second, we show that around the oracle threshold there exists a set of thresholds that give asymptotically unbiased reconstructions. The asymptotic unbiasedness has a phase transition behavior which allows us to develop a practical threshold update scheme using a bisection method. Experimentally, the new threshold design method achieves better rate of convergence than existing methods.
Estimation of Patient Participation during Therapeutic Movements Using the Anklebot: Technique and Preliminary Results

Increasing patient participation during therapeutic exercises is a key issue to design a neuro-rehabilitation strategy. In this paper, we show our on-going efforts to quantify how much effort is performing the patient during robotic therapy. We propose an methodology for online estimation of the patient participation during one session of ankle therapy using the Anklebot. As a valid measurement of the participation we propose the identification of the stiffness of the ankle around a determined position, assuming the neuro-muscular system acts as a mechanical impedance. As proof of the concept, we intend to compare the values of the estimated stiffness with the values of the human torque obtained from mathematical models of the ankle dynamics and muscular activity recorded during the movements.
Using preferred interests to model social skills in a peer-mentored environment for students with special educational needs

ABSTRACT This study explored the benefits of using preferred interests to model social skills in a peer-mentored environment for students with special educational needs (SEN). Research suggests that in order for true inclusion to take place, students must participate socially with their peers, outside the classroom space. However, funding and availability of resources are the main barriers to inclusion being fully implemented in Irish schools. This research sought to assess how a peer-mentored social skills club could facilitate an inexpensive approach of including students with SEN, outside the classroom. The group agreed on a technology-based club. Senior students were encouraged to take a lead role in the organisation and participation of the group and to support junior students via modelling of good social and leadership skills. Results revealed that students with SEN reported that a social group facilitated them to make new friendships while also allowing them to develop their social skills. The findings suggest that the addition of a student without an SEN, who took a lead role in this group, had a positive effect on this club and facilitated the inclusion of students with SEN into the wider school environment.
An infrared texture mapping approach based on binocular structured light system

An accurate and rapid scheme for infrared texture mapping is proposed based on binocular structured light system. With the help of intrinsic and extrinsic parameters of the cameras acquired in the previous work, a transformed method is proposed to flatten the object surface onto the image plane. The vertices of surface triangles are mapped to image plane and then appointed to texture values through surface interpolation. To prevent the texture information lost, all pixel points of the texture image inside the triangles are mapped to the surface rapidly through re-projection. Experimental results are provided to validate the accuracy and speed.
A blended approach for search of learning objects

The present paper describes an approach for keyword- and concept-based search of relevant learning objects and delivery of them to learners. The paper also proposes to blend the keyword- and concept-based search with personalization to increase relevancy of delivered documents to the learners preferences. The relevancy of learning object to the learner request is defined as a weighted linear combination of three relevancy measures. The proposed approach is evaluated in order to demonstrate its effectiveness and find optimal weighting coefficients.
PASTA: Pointwise assessment of streamline tractography attributes

Diffusion tensor MRI tractography aims to reconstruct noninvasively the 3D trajectories of white matter fasciculi within the brain, providing neuroscientists and clinicians with a potentially useful tool for mapping brain architecture. While this technique is widely used to visualize white matter pathways, the associated uncertainty in fiber orientation and artifacts have, to date, not been visualized in conjunction with the trajectory data. In this work, the bootstrap method was used to determine the distributions of diffusion indices such as trace and anisotropy, together with the uncertainty in fiber orientation. A novel visualization scheme was developed to encode this information at each point along reconstructed trajectories. By integrating these schemes into a graphical user interface, a new tool which we call PASTA (Pointwise Assessment of Streamline Tractography Attributes) was created to facilitate identification of artifacts in tractography that would otherwise go undetected. Magn Reson Med 53:1462–1467, 2005. Published 2005 Wiley‐Liss, Inc.
Methods of 3D images quality assesment

The article presents the theme of stereoscopic images quality assessment. The first part of the paper describes the definition of stereoscopy and provides a preliminary discussion of the issue. The second part of the paper lists a set of commonly used metrics for the evaluation of 3D image divided into subjective and objective metrics, and these in turn, based on the analogical 2D metrics and metrics created specifically for stereoscopic images.