UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition

Advances in image restoration and enhancement techniques have led to discussion about how such algorithmscan be applied as a pre-processing step to improve automatic visual recognition. In principle, techniques like deblurring and super-resolution should yield improvements by de-emphasizing noise and increasing signal in an input image. But the historically divergent goals of the computational photography and visual recognition communities have created a significant need for more work in this direction. To facilitate new research, we introduce a new benchmark dataset called UG^2, which contains three difficult real-world scenarios: uncontrolled videos taken by UAVs and manned gliders, as well as controlled videos taken on the ground. Over 160,000 annotated frames forhundreds of ImageNet classes are available, which are used for baseline experiments that assess the impact of known and unknown image artifacts and other conditions on common deep learning-based object classification approaches. Further, current image restoration and enhancement techniques are evaluated by determining whether or not theyimprove baseline classification performance. Results showthat there is plenty of room for algorithmic innovation, making this dataset a useful tool going forward.Comment: Supplemental material: https://goo.gl/vVM1xe, Dataset: https://goo.gl/AjA6En, CVPR 2018 Prize Challenge: ug2challenge.or

Testing the Functionality and Applicability of Smart Devices for a Handheld Celestial Navigation System

In this paper, the functionality and applicability of smart devices for the purpose of handheld celestial navigation systems is investigated. The main instrument used to determine observer position (altitude measurements) in celestial navigation is the sextant. The use of a sextant and almanac or computer is a classical approach to determining the observer\u27s celestial position. This approach has two significant limitations, firstly the time window for the measurements is short, and secondly, the view of the ocean horizon must be clear. With the use of smart devices, we can overcome these two obstacles and create a so-called handheld celestial navigation system. Currently, smart devices have very accurate sensors to measure various physical quantities such as acceleration, angular velocity, orientation, etc. We are particularly interested in validating the orientation sensor for measuring the altitude and azimuth of the celestial body. The altitude of the celestial body is the primary parameter in determining the celestial position using a sextant. The idea is to replace the sextant with a smart device to measure the altitude and possibly the azimuth of the celestial body. To test this idea, two types of experiments are designed. In the first, a system on a tripod to obtain the most accurate measurements possible is set. Such tests will provide detailed information about the accuracy of the smart device\u27s sensors and its applicability in measuring altitude and azimuth. The test system will essentially resemble a theodolite device. In the second experiment, a hands-free measurement experiment that resembles a sextant to test the idea for practical use and functionality in the process of celestial positioning is set. The observed data show that the results of the measurements under controlled conditions are promising and within reasonable bounds for the accuracy of celestial positioning. Estimates of the position error by the graphical method are in the range of 10 Nm to 30 Nm. In order to obtain a fully functional stand-alone celestial positioning system, the proposed assembly needs to be improved through several unchallenging upgrades. A fully functional system can be considered as a cheap off-the-shelf handheld Celestial Navigational System (CNS)

Entropy Projection Curved Gabor with Random Forest and SVM for Face Recognition

In this work, we propose a workflow for face recognition under occlusion using the entropy projection from the curved Gabor filter, and create a representative and compact features vector that describes a face. Despite the reduced vector obtained by the entropy projection, it still presents opportunity for further dimensionality reduction. Therefore, we use a Random Forest classifier as an attribute selector, providing a 97% reduction of the original vector while keeping suitable accuracy. A set of experiments using three public image databases: AR Face, Extended Yale B with occlusion and FERET illustrates the proposed methodology, evaluated using the SVM classifier. The results obtained in the experiments show promising results when compared to the available approaches in the literature, obtaining 98.05% accuracy for the complete AR Face, 97.26% for FERET and 81.66% with Yale with 50% occlusion

Analysis of Generic IGBEM for Lifting Hydrofoils

Today the most crucial aspect in the preliminary vessel design stage is to make it as green/blue as possible. One of the exciting goals is the minimisation of vessel resistance. The use of hydrofoils to reduce the vessel draught and consequently, reduction in the vessel resistance is today one of the hottest design topics, especially for catamaran passenger vessels. In the present work, we discuss the issues related to the implementation of Isogeometric Analysis (IGA) Boundary Element Method (BEM) for the calculation of the hydrodynamic properties of lifting hydrofoils. The use of IGBEM allows numerical calculation of foil hydrodynamic properties without the traditional step of mesh generation using the CAD geometry directly. The analysis relies on the NURBS basis function with the generic Galerkin approach allowing identical solutions procedures for 2D or 3D problems. Method accuracy and computational times for a different number of Degrees of Freedom (DOF) in 2D are investigated

MATHEMATICAL MODEL FOR RIVERBOAT DYNAMICS

Present work describes a simple dynamical model for riverboat motion based on the square drag law. Air and water interactions with the boat are determined from aerodynamic coefficients. CFX simulations were performed with fully developed turbulent flow to determine boat aerodynamic coefficients for an arbitrary angle of attack for the air and water portions separately. The effect of wave resistance is negligible compared to other forces. Boat movement analysis considers only two-dimensional motion, therefore only six aerodynamics coefficients are required. The proposed model is solved and used to determine the critical environmental parameters (wind and current) under which river navigation can be conducted safely. Boat simulator was tested in a single area on the Ljubljanica river and estimated critical wind velocity

Dissection of the Interplay Between HPV E6 and Its Cellular and Viral Targets

Whilst numerous studies have assigned different activities to the Human Papillomavirus (HPV) proteins, most of these analyses have been performed using only individual viral proteins, in the absence of other viral gene products that would be encountered in the context of a normal viral infection. Because of this, we initiated a series of studies to investigate the biological consequences of coexpressing various combinations of the HPV-encoded proteins. We show that HPV E2 and E6 exert dramatic regulatory effects upon each other's activities, which are mediated by a direct protein-protein interaction. These include relocalisation and alteration of substrate specificity, as well as the fine tuning of viral DNA replication and gene expression. At the same time L2 was found to induce enhanced accumulation of E6 in promyeloitic leukemia oncogenic domains (PODs); one consequence of which is the targeting of the POD-associated protein Daxx for proteasome mediated degradation. These findings provide unique insights into the complexity of the viral life cycle, and suggest alternative models for the role of loss of E2 and potentially of L2 during malignant progression. Using peptides isolated from an E6-specific library the significance of the E6/E6-AP interaction for E6 target degradation was also investigated. These studies reveal striking differences in the mechanism by which E6 targets its cellular substrates for degradation and provide compelling evidence for the role of E6-associated ubiquitin ligases other than E6-AP in the degradation of certain E6 targets. This has profound importance for studies aimed at developing therapeutics to target the E6/E6-AP interaction

Experimental Estimation of Material and Support Properties for Flexible Dolphin Structures

Present work describes the inverse problem for identification of material and support type properties of flexible dolphin structure. Most liquid bulk terminals are equipped with a jetty as berthing facility. The ship mostly berths to dedicated breasting dolphin structures, which can be single-pile flexible/rigid dolphins or multi-pile flexible/rigid dolphins. This work considers dolphin motion as mass-spring damped system where cantilever approximation mimics dolphin pile. Few measurements have been made for the dolphin structure, which is approximately 30 m long, 15 m immersed in the bottom and placed about 2-3 m above the sea level. The elastic material properties and pile support were identified via inverse method combined with displacement measurements of dolphin head

SOCIJALNE VJEŠTINE U PRVOM RAZREDU

Djeca polako i razvojno stječu socijalne vještine. Svako razvojno razdoblje djetetu nudi određene mogućnosti razvoja, što je svakako potpuno individualno. Međutim, postoje određene prekretnice koje predviđaju što bi dijete trebalo moći naučiti u određenoj dobi. Komunikacija i upravljanje emocijama vrlo su važne društvene vrline i osnova za razvoj gotovo svih društvenih vještina. Dijete prvo mora biti svjesno svojih emocija – to se može razviti tek kada su razvijene određene kognitivne sposobnosti, posebice sposobnost pomnog promatranja. Da bi dijete bilo svjesno svojih emocija, prvo ih mora svjesno percipirati u sebi. On to čini promatrajući što se događa u njemu. Možemo pomoći djetetu razgovorima i pitanjima. Ako to postane stalna praksa, dijete će polako, ali postojano razvijati sposobnost samoopažanja i svijesti o vlastitim emocijama

VAŽNOST DOBRO RAZVIJENE KOORDINACIJE KOD DJECE

Uloga tjelesnog odgoja je vrlo važna, jer njegova bit nije samo zadovoljiti djetetovu potrebu za kretanjem. Zadaci koje ima tjelesni odgoj su dalekosežni; obuhvaćaju i spoznajnu, moralnu i estetsku stranu pedagoške izvedbe. Odgovarajućim odabranim programima, oblicima i metodama rada također možemo utjecati na razvoj i odnose između motoričke, kognitivne, emocionalne i socijalne komponente djetetove osobnosti u kontekstu tjelesnog odgoja. Učenje i pamćenje su među najvažnijim sposobnostima mozga. Mozak ima sposobnost pohranjivanja iskustva, što osobi daje ogromne mogućnosti za prilagodbu okolini