Telecom service providers are faced with an overwhelming flow of alarms, which makes good alarm classification and prioritisation very important. This paper first provides statistical analysis of data collected from a real-world alarm flow and then presents a quantitative characterisation of the alarm situation. Using data from the trouble ticketing system as a reference, we examine the relatio...

Real time internet traffic classification is imperative for service discrimination, network security and network monitoring. Classification of traffic depends on initial first few network packets of full flows of captured IP traffic. Practically, the real world framework situation expects correct conclusion of classification well before a flow has ended even if the start of the Traffic flow is ...

This study proposes a Deep Belief Network model to classify traffic flow states. The model is capable of processing massive, high-density, and noise-contaminated data sets generated from smartphone sensors. The statistical features of Vehicle acceleration, angular acceleration, and GPS speed data, recorded by smartphone software, are analyzed, and then used as input for traffic flow state class...

Leprosy remains an endemic disease in Brazil, with almost 40,000 new cases diagnosed each year. As it is difficult to perform laboratory procedures in the field, operational classification is determined by counting lesions, which can cause underdiagnosis of multibacillary cases and failures in treatment. To evaluate a new tool to diagnose MB cases, the ML Flow test, 21/77 (27.3%) patients with ...

The article is devoted to the development of software for calculating the hydrodynamic conditions and kinetic characteristics of granulation process in vortex devices. In the basis software Vortex Granulator© and Classification in vortex flow original mathematical model for calculating the flow rate of gas and granules classification and separation processes of granules in a vortex granulator, ...

Vision based fire detection is potentially a useful technique. Vision-based detection is composed of the following three steps. Preprocessing is necessary to compensate for known sources of variability. Feature extraction is designed for the detection of a specific target. Classification algorithms use the computed features as input and make decision outputs regarding the target’s presence. Sup...

Cash flow, Markov chains, contractor payment, owner classification

Abstract Electrical resistance tomography (ERT) is the frontier technology of modern industrial detection, in which flow pattern an important index two-phase detection. Affected by many factors, ERT recognition difficult. In this paper, method based on deep learning designed order to obtain real situation pipeline practical application. The original measured voltage transformed from one-dimensi...