The use of video surveillance to monitor interrogation behavior can effectively maintain judicial civility in the context law enforcement cases. However, analyzing and reviewing videos be a time-consuming resource-intensive process, particularly manual identification violations. This work is dedicated development an intelligent recognition system for violations by using spatio-temporal attentio...

Surveillance systems are widely used in malls, colleges, schools, shopping centers, airports, etc. This could be due to the increasing crime rate daily life. It is a very tedious task monitor and detect abnormal activities 24x7 from surveillance system. So detection of events videos hugely demanding area research. In this paper, proposed framework for deep learning concepts. Here SlowFast Resne...

RGB-D-based technology combines the advantages of RGB and depth sequences which can effectively recognize human actions in different environments. However, spatio-temporal information between modalities is difficult to learn from each other. To enhance exchange modalities, we introduce a SlowFast multimodality compensation block (SFMCB) designed extract features. Concretely, SFMCB fuses feature...

due to the changes which may occur in their parameters, systems are usually demonstrated by some subsystems for different conditions. this paper employs modified petri nets (mpn) to model theses subsystems and makes it simple to analyze them. in this method, first, the continuous transfer function is converted to a discrete transfer function and then, by mpn, system is modeled and analyzed. all...

Abstract Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applications (e.g., remote healthcare affective computing). Recent deep learning approaches focus on mining subtle rPPG clues using convolutional neural networks with limited spatio-temporal receptive fields, neglect t...

earth pressure balance tunnel boring machines (epb-tbms) are favorably applied in urban tunneling projects. despite their numerous advantages, considerable delays and high maintenance cost are the main disadvantages these machines suffer from. reliability, availability, and maintainability (ram) analysis is a practical technique that uses failure and repair dataset obtained over a reasonable ti...

The present paper discusses the development of a Markov model for performance evaluation of coal handling unit of a thermal power plant using probabilistic approach. Coal handling unit ensures proper supply of coal for sound functioning of thermal Power Plant. In present paper, the coal handling unit consists of two subsystems with two possible states i.e. working and failed. Failure and repair...

Nowadays, shovels play an important role in production of open pit mines and their failures result in significant production loss and considerable increase in maintenance costs. Therefore, reliability and risk analysis can help to improve production, productivity and reduce production costs. In this study, reliability of electric cable shovel of Chadormalu iron ore mine in Iran was investigated...