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https://www.readbyqxmd.com/read/28335536/doa-estimation-based-on-real-valued-cross-correlation-matrix-of-coprime-arrays
#1
Jianfeng Li, Feng Wang, Defu Jiang
A fast direction of arrival (DOA) estimation method using a real-valued cross-correlation matrix (CCM) of coprime subarrays is proposed. Firstly, real-valued CCM with extended aperture is constructed to obtain the signal subspaces corresponding to the two subarrays. By analysing the relationship between the two subspaces, DOA estimations from the two subarrays are simultaneously obtained with automatic pairing. Finally, unique DOA is determined based on the common results from the two subarrays. Compared to partial spectral search (PSS) method and estimation of signal parameter via rotational invariance (ESPRIT) based method for coprime arrays, the proposed algorithm has lower complexity but achieves better DOA estimation performance and handles more sources...
March 20, 2017: Sensors
https://www.readbyqxmd.com/read/28335486/implicit-regularization-for-reconstructing-3d-building-rooftop-models-using-airborne-lidar-data
#2
Jaewook Jung, Yoonseok Jwa, Gunho Sohn
With rapid urbanization, highly accurate and semantically rich virtualization of building assets in 3D become more critical for supporting various applications, including urban planning, emergency response and location-based services. Many research efforts have been conducted to automatically reconstruct building models at city-scale from remotely sensed data. However, developing a fully-automated photogrammetric computer vision system enabling the massive generation of highly accurate building models still remains a challenging task...
March 19, 2017: Sensors
https://www.readbyqxmd.com/read/28335431/building-a-relationship-between-robot-characteristics-and-teleoperation-user-interfaces
#3
Michael Mortimer, Ben Horan, Mehdi Seyedmahmoudian
The Robot Operating System (ROS) provides roboticists with a standardized and distributed framework for real-time communication between robotic systems using a microkernel environment. This paper looks at how ROS metadata, Unified Robot Description Format (URDF), Semantic Robot Description Format (SRDF), and its message description language, can be used to identify key robot characteristics to inform User Interface (UI) design for the teleoperation of heterogeneous robot teams. Logical relationships between UI components and robot characteristics are defined by a set of relationship rules created using relevant and available information including developer expertise and ROS metadata...
March 14, 2017: Sensors
https://www.readbyqxmd.com/read/28335194/automatic-echographic-detection-of-halloysite-clay-nanotubes-in-a-low-concentration-range
#4
Francesco Conversano, Paola Pisani, Ernesto Casciaro, Marco Di Paola, Stefano Leporatti, Roberto Franchini, Alessandra Quarta, Giuseppe Gigli, Sergio Casciaro
Aim of this work was to investigate the automatic echographic detection of an experimental drug delivery agent, halloysite clay nanotubes (HNTs), by employing an innovative method based on advanced spectral analysis of the corresponding "raw" radiofrequency backscatter signals. Different HNT concentrations in a low range (5.5-66 × 10(10) part/mL, equivalent to 0.25-3.00 mg/mL) were dispersed in custom-designed tissue-mimicking phantoms and imaged through a clinically-available echographic device at a conventional ultrasound diagnostic frequency (10 MHz)...
April 11, 2016: Nanomaterials
https://www.readbyqxmd.com/read/28334623/rapid-on-chip-apoptosis-assay-on-human-carcinoma-cells-based-on-annexin-v-quantum-dot-probes
#5
Helena Montón, Mariana Medina-Sánchez, Joan Antoni Soler, Andrzej Chałupniak, Carme Nogués, Arben Merkoçi
Despite all the efforts made over years to study the cancer expression and the metastasis event, there is not a clear understanding of its origins and effective treatment. Therefore, more specialized and rapid techniques are required for studying cell behaviour under different drug-based treatments. Here we present a quantum dot signalling-based cell assay carried out in a segmental microfluidic device that allows studying the effect of anti-cancer drugs in cultured cell lines by monitoring phosphatidylserine translocation that occurs in early apoptosis...
March 18, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28334301/dynamix-dynamic-visualization-by-automatic-selection-of-informative-tracks-from-hundreds-of-genomic-data-sets
#6
Matthias Monfort, Eileen E M Furlong, Charles Girardot
Motivation: Visualization of genomic data is fundamental for gaining insights into genome function. Yet, co-visualization of a large number of data sets remains a challenge in all popular genome browsers and the development of new visualization methods is needed to improve the usability and user experience of genome browsers. Results: We present Dynamix, a JBrowse plugin that enables the parallel inspection of hundreds of genomic data sets. Dynamix takes advantage of a priori knowledge to automatically display data tracks with signal within a genomic region of interest...
March 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334261/penalized-likelihood-estimation-of-a-trivariate-additive-probit-model
#7
Panagiota Filippou, Giampiero Marra, Rosalba Radice
This article proposes a penalized likelihood method to estimate a trivariate probit model, which accounts for several types of covariate effects (such as linear, nonlinear, random, and spatial effects), as well as error correlations. The proposed approach also addresses the difficulty in estimating accurately the correlation coefficients, which characterize the dependence of binary responses conditional on covariates. The parameters of the model are estimated within a penalized likelihood framework based on a carefully structured trust region algorithm with integrated automatic multiple smoothing parameter selection...
March 4, 2017: Biostatistics
https://www.readbyqxmd.com/read/28334052/identifying-fallers-among-ophthalmic-patients-using-classification-tree-methodology
#8
Paolo Melillo, Ada Orrico, Franco Chirico, Leandro Pecchia, Settimio Rossi, Francesco Testa, Francesca Simonelli
PURPOSE: To develop and validate a tool aiming to support ophthalmologists in identifying, during routine ophthalmologic visits, patients at higher risk of falling in the following year. METHODS: A group of 141 subjects (age: 73.2 ± 11.4 years), recruited at our Eye Clinic, underwent a baseline ophthalmic examination and a standardized questionnaire, including lifestyles, general health, social engagement and eyesight problems. Moreover, visual disability was assessed by the Activity of Daily Vision Scale (ADVS)...
2017: PloS One
https://www.readbyqxmd.com/read/28334010/automated-assessment-of-bone-changes-in-cross-sectional-micro-ct-studies-of-murine-experimental-osteoarthritis
#9
Patricia Das Neves Borges, Tonia L Vincent, Massimo Marenzana
OBJECTIVE: The degradation of articular cartilage, which characterises osteoarthritis (OA), is usually paired with excessive bone remodelling, including subchondral bone sclerosis, cysts, and osteophyte formation. Experimental models of OA are widely used to investigate pathogenesis, yet few validated methodologies for assessing periarticular bone morphology exist and quantitative measurements are limited by manual segmentation of micro-CT scans. The aim of this work was to chart the temporal changes in periarticular bone in murine OA by novel, automated micro-CT methods...
2017: PloS One
https://www.readbyqxmd.com/read/28334002/improving-hybrid-how-to-best-combine-indirect-and-direct-encoding-in-evolutionary-algorithms
#10
Lucas Helms, Jeff Clune
Many challenging engineering problems are regular, meaning solutions to one part of a problem can be reused to solve other parts. Evolutionary algorithms with indirect encoding perform better on regular problems because they reuse genomic information to create regular phenotypes. However, on problems that are mostly regular, but contain some irregularities, which describes most real-world problems, indirect encodings struggle to handle the irregularities, hurting performance. Direct encodings are better at producing irregular phenotypes, but cannot exploit regularity...
2017: PloS One
https://www.readbyqxmd.com/read/28333651/automated-ecg-noise-detection-and-classification-system-for-unsupervised-healthcare-monitoring
#11
Udit Satija, Barathram Ramkumar, M Sabarimalai Manikandan
OBJECTIVE: Automatic detection and classification of noises can play a vital role in the development of robust unsupervised electrocardiogram (ECG) analysis systems. This paper proposes a novel unified framework for automatic detection, localization and classification of single and combined ECG noises. METHODS: The proposed framework consists of the modified ensemble empirical mode decomposition (CEEMD), the shortterm temporal feature extraction, and the decision rules based noise detection and classification...
March 22, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28333647/automatic-choroidal-layer-segmentation-using-markov-random-field-and-level-set-method
#12
Chuang Wang, Yongmin Li, Ya Xing Wang
The choroid is an important vascular layer that supplies oxygen and nourishment to the retina. The changes in thickness of the choroid have been hypothesised to relate to a number of retinal diseases in the pathophysiology. In this work, an automatic method is proposed for segmenting the choroidal layer from macular images by using the level set framework. The 3D nonlinear anisotropic diffusion filter is used to remove all the OCT imaging artifacts including the speckle noise and to enhance the contrast. The distance regularisation and edge constraint terms are embedded into the level set method to avoid the irregular and small regions and keep information about the boundary between the choroid and sclera...
March 20, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28333644/random-forest-classifier-for-zero-shot-learning-based-on-relative-attribute
#13
Yuhu Cheng, Xue Qiao, Xuesong Wang, Qiang Yu
For the zero-shot image classification with relative attributes (RAs), the traditional method requires that not only all seen and unseen images obey Gaussian distribution, but also the classifications on testing samples are made by maximum likelihood estimation. We therefore propose a novel zero-shot image classifier called random forest based on relative attribute. First, based on the ordered and unordered pairs of images from the seen classes, the idea of ranking support vector machine is used to learn ranking functions for attributes...
March 21, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28333637/multi-scale-multi-feature-context-modeling-for-scene-recognition-in-the-semantic-manifold
#14
Xinhang Song, Shuqiang Jiang, Luis Herranz
Before the big data era, scene recognition was often approached with two-step inference using localized intermediate representations (objects, topics, etc). One of such approaches is the semantic manifold (SM), in which patches and images are modeled as points in a semantic probability simplex. Patch models are learned resorting to weak supervision via image labels, which leads to the problem of scene categories co-occurring in this semantic space. Fortunately, each category has its own cooccurrence patterns that are consistent across the images in that category...
March 22, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28333633/no-reference-quality-assessment-of-tone-mapped-hdr-pictures
#15
Debarati Kundu, Deepti Ghadiyaram, Alan Bovik, Brian Evans
Being able to automatically predict digital picture quality, as perceived by human observers, has become important in many applications where humans are the ultimate consumers of displayed visual information. Standard dynamic range (SDR) images provide 8 bits/color/pixel. High dynamic range (HDR) images which are usually created from multiple exposures of the same scene, can provide 16 or 32 bits/color/pixel, but must be tonemapped to SDR for display on standard monitors. Multi-exposure fusion (MEF) techniques bypass HDR creation, by fusing the exposure stack directly to SDR format while aiming for aesthetically pleasing luminance and color distributions...
March 22, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28333621/reconstructing-evolving-tree-structures-in-time-lapse-sequences-by-enforcing-time-consistency
#16
Przemyslaw Glowacki, Miguel Amavel Pinheiro, Agata Mosinska, Engin Turetken, Daniel Lebrecht, Anthony Holtmaat, Raphael Sznitman, Jan Kybic, Pascal Fua
We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously process all images in a sequence, as opposed to reconstructing structures of interest in each image independently. We formulate the problem as a Quadratic Mixed Integer Program and demonstrate the additional robustness that comes from using all available visual clues at once, instead of working frame by frame...
March 10, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28333216/buddysuite-command-line-toolkits-for-manipulating-sequences-alignments-and-phylogenetic-trees
#17
Stephen R Bond, Karl E Keat, Sofia N Barreira, Andreas D Baxevanis
The ability to manipulate sequence, alignment, and phylogenetic tree files has become an increasingly important skill in the life sciences, whether to generate summary information or to prepare data for further downstream analysis. The command line can be an extremely powerful environment for interacting with these resources, but only if the user has the appropriate general-purpose tools on hand. BuddySuite is a collection of four independent yet interrelated command-line toolkits that facilitate each step in the workflow of sequence discovery, curation, alignment, and phylogenetic reconstruction...
February 25, 2017: Molecular Biology and Evolution
https://www.readbyqxmd.com/read/28332425/statistical-tool-to-detect-small-hearing-threshold-shifts
#18
Tron Vedul Tronstad
OBJECTIVE: The aim of this study is to present a new tool that can be used in the prevention of noise-induced hearing loss. Even in most countries where noise levels are well regulated, many workers are still exposed to high levels of noise and suffer from permanent threshold shifts. It is necessary to develop a new strategy to prevent such damage. METHOD: A statistical process control (SPC) scheme is presented that is able to detect both large and small hearing threshold shifts...
March 23, 2017: International Journal of Audiology
https://www.readbyqxmd.com/read/28332423/the-automatic-activation-of-emotion-words-measured-using-the-emotional-face-word-stroop-task-in-late-chinese-english-bilinguals
#19
Lin Fan, Qiang Xu, Xiaoxi Wang, Fei Xu, Yaping Yang, Zhi Lu
In the current study, late Chinese-English bilinguals performed a facial expression identification task with emotion words in the task-irrelevant dimension, in either their first language (L1) or second language (L2). The investigation examined the automatic access of the emotional content in words appearing in more than one language. Significant congruency effects were present for both L1 and L2 emotion word processing. Furthermore, the magnitude of emotional face-word Stroop effect in the L1 task was greater as compared to the L2 task, indicating that in L1 participants could access the emotional information in words in a more reliable manner...
March 23, 2017: Cognition & Emotion
https://www.readbyqxmd.com/read/28331988/point-of-care-testing-of-cardiac-autonomic-function-for-risk-assessment-in-patients-with-suspected-acute-coronary-syndromes
#20
C Eick, M Duckheim, P Groga-Bada, N Klumpp, S Mannes, C S Zuern, M Gawaz, K D Rizas, Axel Bauer
BACKGROUND: Impaired cardiac autonomic function has been linked to adverse outcomes in patients with acute coronary syndromes (ACS) but is not included in clinical risk models. This is the first study to investigate whether point-of-care testing of cardiac autonomic function by means of short-term deceleration capacity (DC) of heart rate improves risk assessment in patients with suspected ACS. METHODS: 1821 patients with suspected ACS were prospectively enrolled if they were older than 17 years and in sinus rhythm...
March 22, 2017: Clinical Research in Cardiology: Official Journal of the German Cardiac Society
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