Andrey V. Timofeev

Bimodal system for surveillance of super-extended objects

This paper describes an effective solution to the task of a remote monitoring of super-extended objects (oil and gas pipeline, railways, national frontier). The suggested solution is based on the principle of simultaneously monitoring of seismoacoustic and optical/infrared physical fields. The principle of simultaneous monitoring of those fields is not new but in contrast to the known solutions the suggested approach allows to control super-extended objects with very limited operational costs. So-called C-OTDR (Coherent Optical Time Domain Reflectometer) systems are used to monitor the seismoacoustic field. Far-CCTV systems are used to monitor the optical/infrared field. A simultaneous data processing provided by both systems allows effectively detecting and classifying target activities, which appear in the monitored objects vicinity. The results of practical usage had shown high effectiveness of the suggested approach.

Multimodal Heterogeneous Monitoring of Super-Extended Objects: Modern View

This chapter provides modern view on the super-extended objects monitoring . The monitoring process is being reduced to the detection and classification of targeted events occurred in the vicinity of the controlled object by tracking changes in the internal state of the monitored object and by search for precursors of an environmental change, which can serve as precursors to natural and technological disasters. Suggested approach is based on the multimodal concept of the monitoring object observation, heterogeneous data fusion, detection and classification of targeted events. The approach assumes that different types of physical field are observed simultaneously in real time, data is received from different types of sensors in various rate with different accuracy, with insufficient prior information about distribution probability of targeted signals and background noises. The suggested approach provides stable detection of targeted events, which guarantees upper bounds for probabilities of type I and type II errors. Identification of targeted events type (classification problem) is based on the heterogeneous data fusion methodology. The application results of the proposed approach in the real monitoring system are presented herein.

New approach to information fusion for Lipschitz classifiers ensembles: Application in multi-channel C-OTDR-monitoring systems

This paper presents new results concerning selection of an optimal information fusion formula for an ensemble of Lipschitz classifiers. The goal of information fusion is to create an integral classificatory which could provide better generalization ability of the ensemble while achieving a practically acceptable level of effectiveness. The problem of information fusion is very relevant for data processing in multi-channel C-OTDR-monitoring systems. In this case we have to effectively classify targeted events which appear in the vicinity of the monitored object. Solution of this problem is based on usage of an ensemble of Lipschitz classifiers each of which corresponds to a respective channel. We suggest a brand new method for information fusion in case of ensemble of Lipschitz classifiers. This method is called “The Weighing of Inversely as Lipschitz Constants” (WILC). Results of WILC-method practical usage in multichannel C-OTDR monitoring systems are presented.

Non-Asymptotic Real-Time Adaptation to Background Noise in Multichannel C-OTDR Monitoring Systems

A sequential nonparametric method is proposed for adaptation to background noise parameters for real-time. The method is designed to operate as an adaptation-unit, which is included inside a detection subsystem of an integrated multichannel monitoring system. The proposed method guarantees the given size of a nonasymptotic confidence set for noise parameters. Properties of the suggested method are rigorously proved. The proposed algorithm has been successfully tested in real conditions of a functioning C-OTDR monitoring system, which was designed to monitor a railway. (Abstract)