METHOD AND SYSTEM FOR ANOMALY DETECTION IN LARGE-SCALE NETWORKS

Effectively spotting anomalies in network or application operations can be challenging in very large, complex networks, making it difficult to be alerted to their presence in order to take action to remediate such anomalies. Proper anomaly detection is impeded by too much data from too many disparate sources, which may manifest in too many different ways on various network devices ( the curse of dimensionality familiar to many machine learning (ML) practitioners). Proposed herein is a novel implementation of a Long Short-Term Memory based Variational Autoencoder (LSTM-VAE) to detect such anomalies, and an associated visualization technique to display them to the network manager for subsequent remediation. By so doing, the described technique provide a novel method of anomaly detection in large, complex networks in a way not otherwise possible

Season of birth influences life span of Mediterranean fruit flies, rats and mice

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MULTI-ABSTRACTIVE CONTEXT INTERPRETATIONS OF NETWORK EVENTS

Hybrid and augmented workflows involving predictions or insights produced by automation tools that are handed over to human operators are known to cause cognitive overload. Generally, cognitive overload occurs when an automated system tries to push too much information to a human operator. When such a push of information is sustained over time, cognitive overload leads to what is known as alert fatigue whereby insights of an automated system are not utilized, which can lead to poor adoption. One type of cognitive overload specific to cognitive systems includes situations in which predictions/insights are not necessarily numerous but rather too complex understand and interpret. The lack of ability to understand reasons behind predictions can be a barrier to a broader adoption of artificial intelligence (AI) operations. Presented herein is a novel technique to derive explanations for predictions using multiple contexts, which can help system users to rapidly estimate the importance of predictions from several angles, thereby leading to greater trust and system adoption, as well as improved reaction time

SYSTEM FOR EXPERT-ASSISTED CAUSAL INFERENCE FOR RANKING EVENTS OF INTEREST IN NETWORKS

Networks have increased in size and complexity such that the number of events occurring each day has grown drastically. Techniques of this proposal provide for the ability to infer candidates for causal relationships—in some cases, with confidence. In particular, a novel machine learning (ML) based system is described that provides for the ability to narrow-down candidate temporal patterns that may potentially explain an event of interest (e.g., a network outage). The system is trainable with a human in the loop and is highly effective even with minimal amount of prior training

Integrable Floquet systems related to logarithmic conformal field theory

We study an integrable Floquet quantum system related to lattice statistical systems in the universality class of dense polymers. These systems are described by a particular non-unitary representation of the Temperley-Lieb algebra. We find a simple Lie algebra structure for the elements of Temperley-Lieb algebra which are invariant under shift by two lattice sites, and show how the local Floquet conserved charges and the Floquet Hamiltonian are expressed in terms of this algebra. The system has a phase transition between local and non-local phases of the Floquet Hamiltonian. We provide a strong indication that in the scaling limit this non-equilibrium system is described by the logarithmic conformal field theory.Comment: 22 pages, 2 figure

High-Power Diode-Pumped Short Pulse Lasers Based on Yb:KGW Crystals for Industrial Applications

A diode-pumped, ultrafast Yb:KYW laser system utilizing chirped-pulse amplification (CPA) in a dual-slab regenerative amplifier (RA) with spectral shaping of seeding pulse from a master oscillator (MO) has been developed. A train of compressed pulses with pulse length of 181 fs, repetition rate up to 500 kHz, and average power exceeding 15 W after compression and pulse picker was achieved

The T-RFLP research method in the study of rumen microbiota in dairy cows with subclinical ketosis

The article presents the results of researches related to the study of the possibility of using the modern molecular genetics method -T-RFLP-analysis (terminal restriction fragment length polymorphism) to identify the community of microorganisms in the contents of the rumen in clinically healthy highly productive cows and cows with subclinical ketosis. The research methodology is based on the analysis of the conservative regions in the microorganisms’ genome variability. The results showed the high efficiency of the method used for the identification of microorganisms in the rumen contents in the studied animals. A large community of bacteria, archaea, protozoa and anaerobic fungi is determined in the rumen contents from highly productive cows with subclinical ketosis. The data obtained allow us to significantly amplify the information on the pathogenesis of subclinical ketosis in cows with high milk productivity. The presence of conditionally pathogenic and pathogenic microflora in sick cows in the rumen contents indicates a violation of rumen digestion, which leads to the development of concomitant non-contagious diseases in animals

Modelling the joint distribution of competing risks survival times using copula functions

The problem of modelling the joint distribution of survival times in a competing risks model, using copula functions is considered. In order to evaluate this joint distribution and the related overall survival function, a system of non-linear differential equations is solved, which relates the crude and net survival functions of the modelled competing risks, through the copula. A similar approach to modelling dependent multiple decrements was applied by Carriere (1994) who used a Gaussian copula applied to an incomplete double decrement model which makes it difficult to calculate any actuarial functions and draw relevant conclusions. Here, we extend this methodology by studying the effect of complete and partial elimination of up to four competing risks on the overall survival function, the life expectancy and life annuity values. We further investigate how different choices of the copula function affect the resulting joint distribution of survival times and in particular the actuarial functions which are of importance in pricing life insurance and annuity products. For illustrative purposes, we have used a real data set and used extrapolation to prepare a complete multiple decrement model up to age 120. Extensive numerical results illustrate the sensitivity of the model with respect to the choice of copula and its parameter(s)

Features of creating wear-resistant anti-corrosion coatings with a barrier layer on fragments of fuel claddings from E110 o.ch.

Results of the development of protective chromium-containing coatings based on the FeCrNi and CrNi systems for fuel claddings within framework of the accident tolerant fuel (ATF) are presented in this paper. Coatings were deposited by the outer surface of cladding tubes fragments from E110 o.ch. alloy (sponge-based Zr-1%Nb) up to 500 mm length by complex ion-plasma treatment on ILUR-03 and KVK-10 installations. The results of the control tests carried out in high-temperature steam at the GAZPAR bench at 1200 °C up to 400 s showed that Cr-FeCrNi-Cr and Cr-CrNi-Cr coatings reduce total oxygen penetration into the alloy from 144 to 98 and 55 ?m, respectively and Cr-CrNi-Cr coatings with a Mo barrier layer completely block the diffusion of oxygen into the material

Model of Carriage Movement on Plane with Dry Friction Forces

Wheel slip model is an important aspect of vehicle driving stability and safety control. However, in most of the carriage movement models friction forces and wheel slip effect are being neglected. This paper raises the problem of wheel slip in dangerous driving and autonomous vehicles under critical driving modes, then tasks the modeling of movement of an individual vehicle is considered. These are two tasks of nonholonomic mechanics: 1) the movement of a wheelset without wheel slip (two disks freely mounted on an axis) along an inclined plane in the field of gravity, and 2) the movement of a flat wheel model, which, under certain assumptions, can be a four-wheeled carriage. In these tasks, in addition to the standard dynamics (continuous motion without wheel slip), critical situations can also be observed associated with wheel sleep and separation of wheels from plane