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Hyung-Sup Jung, Soo-Min Hong
Mapping three-dimensional (3D) surface deformation caused by an earthquake is very important for the environmental, cultural, economic and social sustainability of human beings. Synthetic aperture radar (SAR) systems made it possible to measure precise 3D deformations by combining SAR interferometry (InSAR) and multiple aperture interferometry (MAI). In this paper, we retrieve the 3D surface deformation field of the 2010 Haiti earthquake which occurred on January 12, 2010 by a magnitude 7.0 Mw by using the advanced interferometric technique that integrates InSAR and MAI data...
2017: PloS One
M-H Su, H-C Chen, M-L Lu, J Feng, I-M Chen, C-S Wu, S-W Chang, P-H Kuo
OBJECTIVE: To examine the associations between personality traits and suicidal ideation (SI) and attempt (SA) in mood disorder patients and community controls. METHOD: We recruited 365 bipolar, 296 major depressive disorder patients, and 315 community controls to assess their lifetime suicidality. Participants filled out self-reported personality questionnaires to collect data of personality traits, including novelty seeking (NS), harm avoidance (HA), extraversion (E), and neuroticism (N)...
November 15, 2017: Acta Psychiatrica Scandinavica
Xin Lei, Fengtao Liu, Shuying Luo, Ya Sun, Liling Zhu, Fengxi Su, Kai Chen, Shunrong Li
OBJECTIVES: Many clinical practice guidelines and consensus statements (CPGs/consensus statements) have been developed for the surgical treatments for breast cancer. This study aims to evaluate the quality of these CPGs/consensus statements. METHODS: We systematically searched the PubMed and EMBASE databases, as well as four guideline repositories, to identify CPGs and consensus statements regarding surgical treatments for breast cancer between January 2009 and December 2016...
November 14, 2017: BMJ Open
Safa Bousbih, Mehrez Zribi, Zohra Lili-Chabaane, Nicolas Baghdadi, Mohammad El Hajj, Qi Gao, Bernard Mougenot
The main objective of this study is to analyze the potential use of Sentinel-1 (S1) radar data for the estimation of soil characteristics (roughness and water content) and cereal vegetation parameters (leaf area index (LAI), and vegetation height (H)) in agricultural areas. Simultaneously to several radar acquisitions made between 2015 and 2017, using S1 sensors over the Kairouan Plain (Tunisia, North Africa), ground measurements of soil roughness, soil water content, LAI and H were recorded. The NDVI (normalized difference vegetation index) index computed from Landsat optical images revealed a strong correlation with in situ measurements of LAI...
November 14, 2017: Sensors
Chao Zhang, Dong Chen, Xuefeng Jiang
An electromagnetic (EM) wave with orbital angular momentum (OAM) has a helical wave front, which is different from that of the plane wave. The phase gradient can be found perpendicular to the direction of propagation and proportional to the number of OAM modes. Herein, we study the backscattering property of the EM wave with different OAM modes, i.e., the radar cross section (RCS) of the target is measured and evaluated with different OAM waves. As indicated by the experimental results, different OAM waves have the same RCS fluctuation for the simple target, e...
November 13, 2017: Scientific Reports
Margaret Rosenfeld, Lawrence E Ostrowski, Maimoona A Zariwala
No abstract text is available yet for this article.
November 13, 2017: Thorax
Cynthia Walsh, Jose Aquino, Jean Seely, Ania Kielar, Kawan Rakhra, Carole Dennie, Adnan Sheikh, Michael Kingstone, Adnan Hadziomerovic, Matthew McInnes, Wael Shabana, Chris Bright, Mario Villemaire, Frank J Rybicki
No abstract text is available yet for this article.
November 10, 2017: Canadian Association of Radiologists Journal, Journal L'Association Canadienne des Radiologistes
Kim David Simperingham, John B Cronin, Simon N Pearson, Angus Ross
Radar technology can be used to perform horizontal force-velocity-power profiling during sprint-running. The aim of this study was to determine the reliability of radar-derived profiling results from short sprint accelerations. Twenty-seven participants completed three 30 m sprints (intra-day analysis), and nine participants completed the testing session on four separate days (inter-day analysis). The majority of radar-derived kinematic and kinetic descriptors of short sprint performance had acceptable intra-day and inter-day reliability [intraclass correlation coefficient (ICC) ≥ 0...
November 10, 2017: Sports Biomechanics
Marco Marcello, Martin Ebert, Annette Haworth, Allison Steigler, Angel Kennedy, David Joseph, James Denham
BACKGROUND AND PURPOSE: To evaluate the impact of treatment planning and delivery factors on treatment outcome as measured by post-treatment disease progression. MATERIALS AND METHODS: Accruing 813 external beam radiotherapy participants during 2003-2007, the RADAR trial collected a comprehensive range of clinical treatment factor data for each participant. Both the Fine and Gray competing risks modelling and the Kaplan-Meier (KM) analysis were undertaken to determine the impact of these factors on local-composite progression (LCP), with 709 participants available for analysis...
November 6, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
Jung Hyup Kim
This laboratory experiment was designed to study the effect of metacognitive monitoring feedback on performance in a computer-based training simulation. According to prior research on metacognition, the accurate checking of learning is a critical part of improving the quality of human performance. However, only rarely have researchers studied the learning effects of the accurate checking of retrospective confidence judgments (RCJs) during a computer-based military training simulation. In this study, we provided participants feedback screens after they had completed a warning task and identification task in a radar monitoring simulation...
February 2018: Applied Ergonomics
Mikkel Fly Kragh, Peter Christiansen, Morten Stigaard Laursen, Morten Larsen, Kim Arild Steen, Ole Green, Henrik Karstoft, Rasmus Nyholm Jørgensen
In this paper, we present a multi-modal dataset for obstacle detection in agriculture. The dataset comprises approximately 2 h of raw sensor data from a tractor-mounted sensor system in a grass mowing scenario in Denmark, October 2016. Sensing modalities include stereo camera, thermal camera, web camera, 360 ∘ camera, LiDAR and radar, while precise localization is available from fused IMU and GNSS. Both static and moving obstacles are present, including humans, mannequin dolls, rocks, barrels, buildings, vehicles and vegetation...
November 9, 2017: Sensors
Ihnji Jon, Shih-Kai Huang, Michael K Lindell
The National Weather Service has adopted warning polygons that more specifically indicate the risk area than its previous county-wide warnings. However, these polygons are not defined in terms of numerical strike probabilities (ps ). To better understand people's interpretations of warning polygons, 167 participants were shown 23 hypothetical scenarios in one of three information conditions-polygon-only (Condition A), polygon + tornadic storm cell (Condition B), and polygon + tornadic storm cell + flanking nontornadic storm cells (Condition C)...
November 9, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
Fei Gao, Zhenyu Yue, Jun Wang, Jinping Sun, Erfu Yang, Huiyu Zhou
Convolutional neural network (CNN) can be applied in synthetic aperture radar (SAR) object recognition for achieving good performance. However, it requires a large number of the labelled samples in its training phase, and therefore its performance could decrease dramatically when the labelled samples are insufficient. To solve this problem, in this paper, we present a novel active semisupervised CNN algorithm. First, the active learning is used to query the most informative and reliable samples in the unlabelled samples to extend the initial training dataset...
2017: Computational Intelligence and Neuroscience
Liang Xu, Sassan S Saatchi, Aurélie Shapiro, Victoria Meyer, Antonio Ferraz, Yan Yang, Jean-Francois Bastin, Norman Banks, Pascal Boeckx, Hans Verbeeck, Simon L Lewis, Elvis Tshibasu Muanza, Eddy Bongwele, Francois Kayembe, Daudet Mbenza, Laurent Kalau, Franck Mukendi, Francis Ilunga, Daniel Ebuta
National forest inventories in tropical regions are sparse and have large uncertainty in capturing the physiographical variations of forest carbon across landscapes. Here, we produce for the first time the spatial patterns of carbon stored in forests of Democratic Republic of Congo (DRC) by using airborne LiDAR inventory of more than 432,000 ha of forests based on a designed probability sampling methodology. The LiDAR mean top canopy height measurements were trained to develop an unbiased carbon estimator by using 92 1-ha ground plots distributed across key forest types in DRC...
November 8, 2017: Scientific Reports
Wenzhen Yue, Lin Li, Yu Xin, Tao Han
The high-resolution range (HRR) profile is an important target signature in many applications (e.g., automatic target recognition), and the radar HRR profiling performance is highly dependent on radar transmitted waveforms. In this paper, we consider the constant-modulus (CM) waveform optimization problem to improve HRR profiling performance for stationary targets. Firstly, several fundamental bounds regarding the profiling ambiguity, stability, and accuracy are derived. Further investigation reveals that the stability and accuracy of HRR profiling are unified in the white noise case...
November 8, 2017: Sensors
D P S Bekaert, B D Hamlington, B Buzzanga, C E Jones
Over the past century, the Hampton Roads area of the Chesapeake Bay region has experienced one of the highest rates of relative sea level rise on the Atlantic coast of the United States. This rate of relative sea level rise results from a combination of land subsidence, which has long been known to be present in the region, and rising seas associated with global warming on long timescales and exacerbated by shifts in ocean dynamics on shorter timescales. An understanding of the current-day magnitude of each component is needed to create accurate projections of future relative sea level rise upon which to base planning efforts...
November 7, 2017: Scientific Reports
Tianzhu Yi, Zhihua He, Feng He, Zhen Dong, Manqing Wu
This paper presents a modified approach for high-resolution, highly squint synthetic aperture radar (SAR) data processing. Several nonlinear chirp scaling (NLCS) algorithms have been proposed to solve the azimuth variance of the frequency modulation rates that are caused by the linear range walk correction (LRWC). However, the azimuth depth of focusing (ADOF) is not handled well by these algorithms. The generalized nonlinear chirp scaling (GNLCS) algorithm that is proposed in this paper uses the method of series reverse (MSR) to improve the ADOF and focusing precision...
November 7, 2017: Sensors
Chao Zhou, Feifeng Liu, Quanhua Liu
The interrupted sampling repeater jamming (ISRJ) based on a digital radio frequency memory (DRFM) device is a new type of coherent jamming. This kind of jamming usually occurs as main-lobe jamming and has the advantages of low power requirements and easy parameter adjustment, posing a serious threat to the modern radar systems. In order to suppress the ISRJ, this paper proposes an adaptive transmitting scheme based on a phase-coded signal. The scheme firstly performs jamming perception to estimate the jamming parameters, then, on this basis, optimizes the waveform with genetic algorithm...
October 29, 2017: Sensors
Nicolas Longépé, Guillaume Hajduch, Romy Ardianto, Romain de Joux, Béatrice Nhunfat, Marza I Marzuki, Ronan Fablet, Indra Hermawan, Olivier Germain, Berny A Subki, Riza Farhan, Ahmad Deni Muttaqin, Philippe Gaspar
The Indonesian fisheries management system is now equipped with the state-of-the-art technologies to deter and combat Illegal, Unreported and Unregulated (IUU) fishing. Since October 2014, non-cooperative fishing vessels can be detected from spaceborne Vessel Detection System (VDS) based on high resolution radar imagery, which directly benefits to coordinated patrol vessels in operation context. This study attempts to monitor the amount of illegal fishing in the Arafura Sea based on this new source of information...
October 26, 2017: Marine Pollution Bulletin
Xinzheng Zhang, Yijian Wang, Zhiying Tan, Dong Li, Shujun Liu, Tao Wang, Yongming Li
In this paper, we propose a two-stage multi-task learning representation method for the classification of synthetic aperture radar (SAR) target images. The first stage of the proposed approach uses multi-features joint sparse representation learning, modeled as a ℓ 2 , 1 -norm regularized multi-task sparse learning problem, to find an effective subset of training samples. Then, a new dictionary is constructed based on the training subset. The second stage of the method is to perform target images classification based on the new dictionary, utilizing multi-task collaborative representation...
November 1, 2017: Sensors
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