Cavity flow with surface tension past a flat plate

The effect of surface tension forces on the cavity flow parameters is considered for steady flow past a rounded-edge plate perpendicular to the incident flow. The fluid is assumed to be ideal, weightless, and incompressible. The problem is solved in a parameter region by finding analytical expressions for the flow potential and the function that conformally maps the parameter region into the flow region in the physical plane. The dynamic boundary condition includes the surface tension force, which is proportional to the free boundary curvature, and allows one to obtain an integral equation in the velocity magnitude on the free boundary. The integral equation is solved numerically by the method of successive approximations. The results of calculations of the effect of the Weber number and the plate edge radius on the geometry of the cavity and the drag coefficient of the plate are presented.http://deepblue.lib.umich.edu/bitstream/2027.42/84246/1/CAV2009-final48.pd

Creating a drilling tool with high of resources and properties

Показано  принципову  можливість  використання  ударно‐хвильової  обробки,  як  фактора  стимулюючого  процеси  руйнування  порошкових  виробів  будь‐якої конфігурації,  з  метою  отримання  високоякісного  порошку  для  подальшої  формовки, спікання та виробництва інструменту різного призначення, запропонована екологічно  чиста технологія переробки надтвердих матеріалів.  The principal possibility of using shock‐wave treatment as a factor stimulat‐ ing the processes of destruction of powder products of any configuration, in order to obtain  high‐quality powder for further molding, sintering and production tool for different purpos‐ es, offered environmentally friendly technology for processing of superhard materials. 

Group-level Emotion Recognition using Transfer Learning from Face Identification

In this paper, we describe our algorithmic approach, which was used for submissions in the fifth Emotion Recognition in the Wild (EmotiW 2017) group-level emotion recognition sub-challenge. We extracted feature vectors of detected faces using the Convolutional Neural Network trained for face identification task, rather than traditional pre-training on emotion recognition problems. In the final pipeline an ensemble of Random Forest classifiers was learned to predict emotion score using available training set. In case when the faces have not been detected, one member of our ensemble extracts features from the whole image. During our experimental study, the proposed approach showed the lowest error rate when compared to other explored techniques. In particular, we achieved 75.4% accuracy on the validation data, which is 20% higher than the handcrafted feature-based baseline. The source code using Keras framework is publicly available.Comment: 5 pages, 3 figures, accepted for publication at ICMI17 (EmotiW Grand Challenge

Re-entrant resonant tunneling

We study the effect of electron-electron interactions on the resonant-tunneling spectroscopy of the localized states in a barrier. Using a simple model of three localized states, we show that, due to the Coulomb interactions, a single state can give rise to two resonant peaks in the conductance as a function of gate voltage, G(Vg). We also demonstrate that an additional higher-order resonance with Vg-position in between these two peaks becomes possibile when interactions are taken into account. The corresponding resonant-tunneling process involves two-electron transitions. We have observed both these effects in GaAs transistor microstructures by studying the time evolution of three adjacent G(Vg) peaks caused by fluctuating occupation of an isolated impurity (modulator). The heights of the two stronger peaks exibit in-phase fluctuations. The phase of fluctuations of the smaller middle peak is opposite. The two stronger peaks have their origin in the same localized state, and the third one corresponds to a co-tunneling process.Comment: 9 pages, REVTeX, 4 figure

Shot Noise in Mesoscopic Transport Through Localised States

We show that shot noise can be used for studies of hopping and resonant tunnelling between localised electron states. In hopping via several states, shot noise is seen to be suppressed compared with its classical Poisson value $S_I=2eI$ ($I$ is the average current) and the suppression depends on the distribution of the barriers between the localised states. In resonant tunnelling through a single impurity an enhancement of shot noise is observed. It has been established, both theoretically and experimentally, that a considerable increase of noise occurs due to Coulomb interaction between two resonant tunnelling channels.Comment: 7 pages, 5 figures; Proceedings of the 10th Conference on Hopping and Related Phenomena (Trieste 2003); requires Wiley style files (included