[POSTER] Depth Map Interpolation Using Perceptual Loss Makarov, Ilya; Aliev, Vladimir; Gerasimova, Olga ...
2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct),
2017-Oct.
Conference Proceeding
In this paper, we discuss a semi-dense depth map interpolation method based on convolutional neural network. We propose a compact neural network architecture with loss function defined as Euclidean ...distance in the feature space of VGG-16 neural network used for deep visual recognition. The suggested solution shows state-of-art performance on synthetic and real datasets. Together with LSD-SLAM, the method could be used to provide a dense depth map for interaction purposes, such as creating a first person game in AR/MR or perception module for autonomous vehicle.
We define data analyses to monitor a change in R, the average number of secondary cases caused by a typical infected individual. The input dataset consists of incident cases partitioned into ...outbreaks, each initiated from a single index case. We split of the input dataset into two successive subsets, to evaluate two successive R values, according to the Bayesian paradigm. We used the Bayes factor between the model with two different R values and that with a single R value to justify that the change in R is statistically significant. We validated our approach using simulated data, generated using known R. In particular, we found that claiming two distinct R values may depend significantly on the number of outbreaks. We then reanalyzed data previously studied by Jansen et al. Jansen et al. Science 301 (5634), 804, concerning the effective reproduction number for measles in the UK, during 1995-2002. Our analyses showed that the 1995-2002 dataset should be divided into two separate subsets for the periods 1995-1998 and 1999-2002. In contrast, Jansen et al. take this splitting point as input of their analysis. Our estimated effective reproduction numbers R are in good agreement with those found by Jansen et al. In conclusion, our methodology for detecting temporal changes in R using outbreak-size data worked satisfactorily with both simulated and real-world data. The methodology may be used for updating R in real time, as surveillance outbreak data become available.
The principal scheme of Friction Stir Welding (FSW) and the main technology process parameters that affect the formation of the join are presented. Different options for the formation of the contact ...interface «tool – welded sheets» are considered, depending on the type of the tool shoulder. The material flow and the joining mechanism of thin sheets of aluminum alloy with a thickness of 2.0 mm during the butt joint by the FSW method were performed. The process of the oxide layers transition from the surfaces and butts of the sheets to the joint is described and the formation of the remnant oxide layer in the stir zone of the joint during FSW is considered. It has been established that during FSW butt joint several processes of metal joining take place simultaneously. It is shown that the Friction Stir Welding method can be used in many industries to butt-weld thin and ultra-thin sheets with the choice of optimal technology process parameters and geometric characteristics of the tool.
When large data sets are analyzed, the pursuit of their appropriate representation in the space of lower dimension is a common practice. Boolean factor analysis can serve as a powerful tool to solve ...the task, when dealing with binary data. Here we provide a short insight into a new approach to Boolean factor analysis we have developed as an extension of our previously proposed method: Hopfield-like Attractor Neural Network with Increasing Activity. We have greatly enhanced its functionality, having complemented this method by maximizing the data set likelihood function. We have defined this Likelihood function on the basis of the data generative model proposed previously. As a result, in such a way we can obtain a full set of generative model parameters. We demonstrate the efficiency of the new method using the artificial signals, which are random mixtures of horizontal and vertical bars that are a benchmark for Boolean factor analysis. Then we show that the method can be used for real task solving when analyzing data from the Kyoto Encyclopedia of Genes and Genomes.
Each year, following Israel's Independence Day celebrations, patients are referred to the Soroka University Medical Center as a result of ocular injuries from items such as artificial snow spray, ...fireworks, plastic hammers and stick-lights (plastic tubes filled with fluorescent liquid). This study aims to describe and characterize the ocular injuries that are directly related to the use of these devices.
The files of all patients who were referred to the Department of Ophthalmology in the Soroka University Medical Center, between the years 1998 and 2005, during the period of Israel's Independence Day, were screened. If a patient sustained an injury from a device used during the celebration, then data relating to the age, sex, injured eye, diagnosis, the device that caused the injury and treatment were collected.
A total of 437 patients were included in this study; fifty-two patients had suffered an ocular injury directly due to a celebration device. The patients' mean age was 17.6 years; 61.5% of the patients were male. The three most common ocular injuries were corneal erosions, conjuctival erosions, and superficial punctate keratitis (38.5%, 28.9%, and 23.0%, respectively). Other injuries included corneal and conjuctival foreign bodies, traumatic iritis, elevated intraocular pressure, and subconjuctival hemorrhage. The devices responsible for most of the injuries were artificial snow spray and fireworks. Ocular injuries from stick-light liquid, plastic hammers, and balloon explosions were seen as well. Almost all patients (96.1%) required medical treatment. Patients injured by celebration devices accounted for 27.9% of all patients seen during this period in our Ophthalmology Department; after several years, the rate approached 40%.
Strict enforcement of rules and legislation regarding the use of celebration devices must be upheld. The public's awareness of the harm that these devices can cause should be strengthened.
Algorithm of Demodulation for UMTS-standard Signals Mikhailov, Viacheslav N.; Polyakov, Pavel O.; Elizarov, Vladimir A. ...
2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus),
2019-Jan.
Conference Proceeding
The UMTS standard is briefly described and the proposed three-step algorithm for the synchronization procedure required while receiving a signal from a mobile base station is considered. The results ...of the noise immunity study of the first stage of the algorithm are given. A modification of the signal demodulation algorithm at low signal-to-noise ratio is proposed. The results of the analysis of the proposed modified algorithm are given. The implementation of the algorithm using programmable logic devices is considered.
Bars problem is widely used as a benchmark for the class of feature extraction tasks. In this model, artificial data set is generated as a Boolean sum of a given number of bars. We show that the most ...suitable technique for feature set extraction in this case is neural network based Boolean factor analysis. Results are confronted with several dimension reduction techniques. These are singular value decomposition, semi-discrete decomposition and non-negative matrix factorization. Even if these methods are linear, it is interesting to compare them with neural network attempt, because they are well elaborated and are often used for a similar tasks. We show that frequently used cluster analysis methods can bring interesting results, at least for first insight to the data structure.
PDF
